ITEJ (Information Technology Engineering Journals)
type: channel
description: Information Technology Engineering journals is a journal of research results in the field of software engineering whose cover all aspects of software engineering and related hardware-software systems issues. All articles should include a validation of the idea presented, e.g. through case studies, experiments, or systematic comparisons with other approaches already in practice. Topics of interest include, but are not limited to: Media in education, E-government, E-Commerce, Software Architecture
publisher: Pusat Teknologi Informasi dan Pangkalan Data IAIN Syekh Nurjati Cirebon
language: en
publication name: ITEJ (Information Technology Engineering Journals)
issn: 2548-2130
items: E-CRM System Development Strategy As An Effort To Improve Computer Services and Sales At Media Data Computer
items: K-Means Clustering as a Method for Identifying Consumer Behavior Patterns In Taqimart
items: Stunting Risk Cluster Analysis In Petatal Plantation Village Using K-Means Clustering Approach
items: Application Of SAW For Best Decor At Mainaka Decoration
items: SCM For Monitoring Stock And Demand Online Shop Products
items: Waste Analysis in the Aluminum Extrusion Process utilizing Lean Six Sigma and Failure Mode Effect Analysis (FMEA)
items: Implementation of Ethereum-Based Blockchain Technology for ADS-B Data Security and Validation
items: Tsukamoto Fuzzy Logic Method for Determining Mental Health Levels of Final-Year University Students
items: Integration of Multi-Item EOQ and EPQ to Minimize Total Inventory Cost of Outsole Raw Materials
items: Smart Energy Coordination Platform for Rural Public Facilities: Multi-Facility Load Optimization and Smart Control System
items: Design of a Dual Band Yagi Antenna For Amateur Radio At a VHF Frequency of 143 MHz
items: Application Of Certainty Factor In Detecting Learning Concentration Disorders In Children At School
items: Performance of Self-Compacting Concrete (SCC) Mixes with Different Brands of Superplasticizers
items: Implementation Of E-SCM Efforts To Improve Distribution Management Efficiency
items: Implementation Of SCM In The Mattress Manufacturing Industry
items: The Customer Relationship Management Concept Increases Customer Commitment
items: Measuring The Efficiency of Social Assistance Recipients in the Family Hope Program Using the Data Envelopment Analysis Method
items: Learning Media Application for Basic Digital Courses Using Augmented Reality with the Marker Based Tracking (MBT) Method
items: Applying Supply Chain Management in a Web-Based Drug Inventory System
items: Sharing SSH Threat Intelligence across Multiple Servers using WebSocket and Fail2Ban
items: Improving Multi-Floor Factory Facilities Layout Using CRAFT Algorithm Method in UMKM Aneka Songkok Jombang
items: Forecasting of Palm Oil CPO Production Results at PTPN III Batang Toru Plantation Using The Autoregressive Integrated Moving Average Method
items: Performance Evaluation of Modulation and Power Allocation Effects on BER in NOMA with SIC over AWGN Channels
items: Developing Pedagogically Aligned AR Media for Teaching Polyhedra in Junior Secondary Education
items: Classification of Family Hope Program Assistance Recipients Using the C4.5 Algorithm with Z-Score Normalization (Case Study in Atu Lintang District)
items: Real-Time Object Detection for Smart City Surveillance and Traffic Management Systems
items: Analysis Of Defect Waste Reduction In Metal Forming Process Using Lean Six Sigma
items: Risk Analysis in the Palm Oil Harvesting Process Using the Mix Method (Case Study at PT XYZ South Kalimantan)
items: A Application of Six Sigma and FMEA Methods for Defect Reduction in Woven Bag Production
items: IoT-Based Cooking Oil Quality Monitoring System Using Thresholding Method on Android Application

E-CRM System Development Strategy As An Effort To Improve Computer Services and Sales At Media Data Computer
type: item
description: The development of digital technology has significantly changed business patterns and consumer behavior in conducting transactions. Media Data Computer, a business engaged in computer sales, faces challenges in managing customer data that is not yet integrated, which affects the effectiveness of service and marketing strategies. This study aims to design an Electronic Customer Relationship Management (E-CRM) system to improve service quality and sales performance. The method used is descriptive analysis with a web-based system design approach. The results show that the E-CRM system is able to integrate customer data, facilitate the analysis of customer needs, increase customer loyalty, and support more effective and targeted marketing strategies
subject: Articles
  topic: section
creator: Azmi Ainul Rifky
creator: Herman Saputra
creator: Elly Rahayu
rights: Copyright (c) 2026 ITEJ (Information Technology Engineering Journals)
date: 2026-04-15
publication date: 2026-04-15
doi: 10.24235/itej.v11i1.301

K-Means Clustering as a Method for Identifying Consumer Behavior Patterns In Taqimart
type: item
description: Taqimart, as a grocery store developing amid competition from modern retail, still faces challenges in analyzing consumer data, where the transaction data generated has not been optimally utilized to understand consumer shopping behavior patterns. This study aims to identify and classify the shopping behavior patterns of Taqimart consumers by applying the K-Means Clustering method. The data used consist of consumer data and transaction data that reflect shopping behavior characteristics, such as purchase frequency and total spending. The K-Means Clustering method is used to group consumers into several clusters based on the similarity of their shopping behavior. The results of this study can provide more structured consumer segmentation information, helping Taqimart develop more targeted marketing strategies, increase the effectiveness of promotions, and support data-driven business decision-making to enhance business competitiveness
subject: Articles
  topic: section
subject: Data Mining, K-Means Clustering, Consumer Behavior Patterns, Taqimart.
  topic: keywords
creator: Urba Yesha Hasibuan
creator: Arridha Zikra Syah
creator: Sudarmin
rights: Copyright (c) 2026 ITEJ (Information Technology Engineering Journals)
date: 2026-04-13
publication date: 2026-04-13
doi: 10.24235/itej.v11i1.300

Stunting Risk Cluster Analysis In Petatal Plantation Village Using K-Means Clustering Approach
type: item
description: Stunting is a chronic nutritional issue that requires accurate, data-driven intervention. This study aims to map the level of stunting risk among toddlers in Perkebunan Petatal Village by categorizing them into high, medium, and low-risk groups. The research method employed is descriptive quantitative, utilizing the K-Means Clustering algorithm to group toddler data based on related risk indicators. The analysis results revealed three risk clusters: Cluster 1 (high risk) consisting of 14 toddler data, Cluster 2 (medium risk) consisting of 17 toddler data, and Cluster 3 (low risk) consisting of 19 toddler data. These findings indicate that while the majority of toddlers fall into the low-risk category, there are still toddlers in the high and medium-risk categories who require specific attention from village authorities and health workers. This information serves as a crucial basis for determining nutritional intervention priorities and designing more targeted and data-driven stunting prevention programs in Perkebunan Petatal Village
subject: Articles
  topic: section
subject: Stunting, K-Means Clustering; Cluster Analysis; Nutritional Risk; Perkebunan Petatal Village.
  topic: keywords
creator: Dewi Andini Putri
creator: Dewi Maharani
creator: Ahmad Muhazir
rights: Copyright (c) 2026 ITEJ (Information Technology Engineering Journals)
date: 2026-04-13
publication date: 2026-04-13
doi: 10.24235/itej.v11i1.299

Application Of SAW For Best Decor At Mainaka Decoration
type: item
description: The rapid development of the event decoration service industry demands companies to be able to provide optimal services and meet client needs quickly and objectively. Mainaka Decoration as a company engaged in the field of event decoration services faces problems in the process of selecting the best decoration concept which is still done subjectively based on the designer's experience and intuition. This condition causes the decision-making process to be less effective, not standardized, and has the potential to cause a mismatch between client expectations and the decoration results provided. Therefore, a system is needed that is able to assist management in determining the best decoration concept based on measurable criteria. This study aims to design and build a Decision Support System (DSS) in selecting the best decoration concept by applying the Simple Additive Weighting (SAW) method. The SAW method is used to rank several alternative decoration concepts based on predetermined criteria, namely budget, aesthetics, work time, theme suitability, and durability of decoration materials. This study uses a quantitative method with data collection techniques through observation, interviews, and literature studies. The system is designed using Unified Modeling Language (UML) and implemented web-based using PHP programming language with MySQL database. The results of this study indicate that the application of the SAW method in the Decision Support System is able to provide recommendations for the best decoration concepts objectively and systematically according to client needs. The system built can help increase effectiveness and efficiency in the decision-making process, minimize subjectivity in assessing decoration alternatives, and improve service quality and customer satisfaction at Mainaka Decoration
subject: Articles
  topic: section
subject: Decision support systems, simple additive weighting, decoration selection, decision making, decoration concepts.
  topic: keywords
creator: Anggi Melisa Nasution
creator: William Ramdhan
creator: Zulkarnain Sirait
rights: Copyright (c) 2026 ITEJ (Information Technology Engineering Journals)
date: 2026-04-13
publication date: 2026-04-13
doi: 10.24235/itej.v11i1.298

SCM For Monitoring Stock And Demand Online Shop Products
type: item
description: The development of digital technology is driving the growth of online trading businesses, including sharia fashion businesses that utilize online platforms for their sales activities, faces challenges in managing product stock from various suppliers that are not yet systematically integrated. The imbalance between stock availability and market demand often results in excess stock of less popular products and shortages of stock of products with high demand levels. This condition impacts low operational efficiency and decreases customer satisfaction levels. This study aims to design and implement a web-based Supply Chain Management (SCM) system to monitor and manage product stock and demand effectively. The methods used include system requirements analysis, design using the Unified Modeling Language (UML), and system implementation using the PHP programming language and MySQL database. The results of this study are expected to improve stock monitoring accuracy, accelerate the decision-making process in product procurement, and minimize the risk of overstock and stockouts. Thus, the implementation of SCM can improve inventory management efficiency and response to changes in market demand in the Kisaran Syar'i Online Shop.
subject: Articles
  topic: section
subject: Supply Chain Management
  topic: keywords
subject: stock monitoring
  topic: keywords
subject: product demand
  topic: keywords
subject: information systems
  topic: keywords
subject: online shop
  topic: keywords
creator: Nadrah Umi Kalsum
creator: Riki Andri Yusda
creator: Sumantri
rights: Copyright (c) 2026 ITEJ (Information Technology Engineering Journals)
date: 2026-04-13
publication date: 2026-04-13
doi: 10.24235/itej.v11i1.297

Waste Analysis in the Aluminum Extrusion Process utilizing Lean Six Sigma and Failure Mode Effect Analysis (FMEA)
type: item
description: This study aims to identify dominant waste types, analyze the root causes of quality failures, and formulate improvement recommendations to enhance production process efficiency. The methodology integrates Lean Six Sigma and Failure Mode and Effect Analysis (FMEA). Unlike previous studies that focus on a single CTQ in aluminum extrusion processes, this study addresses four dominant CTQs using an integrated Lean Six Sigma and FMEA approach to provide a more comprehensive quality improvement framework. Identification results reveal that defect is the most critical waste, with the highest weight of 0.1206, followed by waiting at 0.0905 and transportation at 0.0854. Root cause analysis of product defects using fishbone diagrams and FMEA indicates that denting poses the highest risk, with a Risk Priority Number (RPN) of 336. Through the proposed improvement designs, the company can entirely eliminate non-value-added (NVA) activities and significantly reduce necessary non-value-added (NNVA) activities. The implementation of these recommendations successfully reduced the total lead time from 2,435.59 minutes to 1,870.41 minutes, resulting in an increase in the Value-Added (VA) time percentage from 40.86% to 46.34%.
subject: Articles
  topic: section
subject: Aluminum Extrusion
  topic: keywords
subject: Lean Six Sigma
  topic: keywords
subject: FMEA
  topic: keywords
subject: Seven Waste
  topic: keywords
creator: Gracia Wiranatalie Damanik
creator: Enny Aryanny
rights: Copyright (c) 2026 ITEJ (Information Technology Engineering Journals)
date: 2026-04-13
publication date: 2026-04-13
doi: 10.24235/itej.v11i1.293

Implementation of Ethereum-Based Blockchain Technology for ADS-B Data Security and Validation
type: item
description: Automatic Dependent Surveillance–Broadcast (ADS-B) has significantly enhanced air traffic monitoring by enabling real-time broadcasting of aircraft positions and identifiers. However, its lack of cryptographic safeguards makes it inherently vulnerable to spoofing, replay, and tampering attacks. This study presents a blockchain-based ADS-B validation framework that leverages Ethereum smart contracts and MetaMask for secure, decentralized data authentication. The proposed system validates incoming flight messages by enforcing logical constraints on altitude changes, timestamp order, and geographic displacement using Solidity-coded rules. Each data transaction is subject to a dual-layer security model: automated detection by the smart contract and manual authorization via MetaMask. This ensures that even flagged anomalies cannot be committed without human approval, thus combining operational oversight with blockchain's immutability. The system was tested using flight data from the OpenSky Network, with 56 attack simulations performed across spoofing, replay, and tampering categories. The contract achieved a 92.9% detection rate, with all accepted anomalies intentionally approved to test forensic transparency. Ethereum’s transparent ledger preserved all transaction details, reinforcing its potential for regulatory compliance and incident investigation. The results affirm blockchain’s suitability in protecting aviation telemetry against unauthorized modifications. Future enhancements may include machine learning for anomaly detection, stricter timestamp controls, and integration with global aircraft registries to improve spoofing detection. This implementation bridges theoretical blockchain benefits with operational air traffic requirements.
subject: Articles
  topic: section
subject: ADS-B
  topic: keywords
subject: blockchain
  topic: keywords
subject: Ethereum
  topic: keywords
subject: smart contracts
  topic: keywords
subject: cybersecurity
  topic: keywords
subject: aviation security
  topic: keywords
subject: spoofing
  topic: keywords
subject: replay attack
  topic: keywords
subject: tampering
  topic: keywords
subject: MetaMask
  topic: keywords
subject: data integrity
  topic: keywords
subject: OpenSky Network
  topic: keywords
creator: Kgs Muhammad Farhan Rabbaniansyah
creator: Lindawati Lindawati
creator: Sopian Soim
rights: Copyright (c) 2025 ITEJ (Information Technology Engineering Journals)
date: 2026-04-13
publication date: 2026-04-13
doi: 10.24235/itej.v11i1.271

Tsukamoto Fuzzy Logic Method for Determining Mental Health Levels of Final-Year University Students
type: item
description: Mental health is an important aspect that affects the ability of final-semester students to complete their studies and face academic and non-academic pressures. The problem that arises is the difficulty in assessing mental health conditions because it is subjective and complex. The Tsukamoto fuzzy method is used because it is able to handle data uncertainty and provides results in the form of measurable crisp values. This study aims to apply the Tsukamoto fuzzy logic method in determining the level of mental health of final-semester students in a more objective and measurable manner. This system model uses four input variables, namely stress level, sleep quality, emotional exhaustion, and duration of gadget use, with 81 rules (rule base) that form relationships between variables. The inference process is carried out through the stages of fuzzification, rule inference, and defuzzification with increasing and decreasing linear triangular membership functions. Testing was carried out using MATLAB by comparing the prediction results to actual data to calculate the model accuracy level using the Mean Absolute Percentage Error (MAPE). The results showed that the total MAPE value was 19.34%, which is in the range of 10%–20% so it is included in the good accuracy category. This demonstrates that the Tsukamoto fuzzy method can provide fairly accurate predictions of the mental health of final-semester students. Therefore, this system can be used as a tool for evaluating and early detection of student mental health in higher education settings.
subject: Articles
  topic: section
subject: Tsukamoto Fuzzy Logic
  topic: keywords
subject: Mental Health
  topic: keywords
subject: Final-Year Students
  topic: keywords
creator: Nabila Rizky Sarip
creator: Sriani Sriani
rights: Copyright (c) 2025 ITEJ (Information Technology Engineering Journals)
date: 2025-12-25
publication date: 2025-12-25
starting page: 347
ending page: 359
doi: 10.24235/itej.v10i2.291

Integration of Multi-Item EOQ and EPQ to Minimize Total Inventory Cost of Outsole Raw Materials
type: item
description: This study analyzes the integration of the multi-item Economic Order Quantity (EOQ) and Economic Production Quantity (EPQ) methods to minimize the inventory costs of outsole raw materials at UD. Santoso Mojokerto. The main problem lies in the high storage costs caused by the mismatch between purchasing quantities and the production needs of women’s flat sandals in sizes 37–39. Using demand, production, and inventory cost data for the period of August 2024–July 2025, EOQ is applied to determine the optimal order quantity, while EPQ is used to establish the optimal production quantity. The results show that integrating EOQ and EPQ can reduce total inventory costs compared to the company’s current method, while also maintaining raw material availability and ensuring smooth production processes.
subject: Articles
  topic: section
subject: EOQ
  topic: keywords
subject: EPQ
  topic: keywords
subject: inventory
  topic: keywords
subject: inventory cost
  topic: keywords
creator: Yahya Kusuma
creator: Iriani Iriani
rights: Copyright (c) 2025 ITEJ (Information Technology Engineering Journals)
date: 2025-12-06
publication date: 2025-12-06
starting page: 339
ending page: 346
doi: 10.24235/itej.v10i2.284

Smart Energy Coordination Platform for Rural Public Facilities: Multi-Facility Load Optimization and Smart Control System
type: item
description: Rural public facilities in Indonesia face significant energy efficiency challenges due to inadequate management systems, aging infrastructure, and limited technical capacity. This study develops a smart energy coordination platform integrating IoT sensors and wireless communication networks for five public facilities in Petumbukan Village, North Sumatra. Six-month continuous monitoring using power quality analyzers and IoT data loggers revealed 310.7 kWh/day total consumption with 0.43 load factor, 40.7 kW peak demand, and 1.27 diversity factor across facilities. Comprehensive energy audit identified 17.7 kW total losses (43.5% of peak load), with lighting inefficiency representing the primary concern at 8.5 kW (20.9% of system load). The proposed four-layer IoT architecture implements smart meters, environmental sensors, LoRaWAN communication, and edge computing devices for real-time monitoring and automated control. Multi-facility coordination algorithms leverage load diversity to achieve 22% annual energy savings (56,327 kWh) through optimized scheduling and demand management. System performance demonstrates 15% peak demand reduction, load factor improvement from 0.43 to 0.52, and sub-5-minute response times for automated load adjustments. The platform provides a technically feasible and replicable framework for rural electrification optimization in developing countries, addressing the gap between urban-focused smart grid solutions and rural infrastructure constraints.
subject: Articles
  topic: section
subject: smart energy management
  topic: keywords
subject: IoT sensors
  topic: keywords
subject: rural electrification
  topic: keywords
subject: multi-facility coordination
  topic: keywords
subject: load optimization
  topic: keywords
creator: Rahma Niar
creator: Zuraidah Tharo
creator: Nur Fadilah Rahmadani
rights: Copyright (c) 2025 ITEJ (Information Technology Engineering Journals)
date: 2025-11-29
publication date: 2025-11-29
starting page: 331
ending page: 339
doi: 10.24235/itej.v10i2.280

Design of a Dual Band Yagi Antenna For Amateur Radio At a VHF Frequency of 143 MHz
type: item
description: Abstract—This research discusses the design and realization of a four-element Yagi antenna optimized for amateur radio communications in the VHF 143 MHz frequency band. The research process was carried out through simulations using CST Studio Suite software, antenna prototype assembly, and laboratory and field testing. The simulation results show that the antenna has a return loss of -22.14 dB, VSWR of 1.168, impedance of 50.23 Ω, and a gain of 7.613 dBi. After the antenna was realized, measurements using NanoVNA resulted in a return loss of -12 dB, VSWR of 1.4, impedance of 49.41 Ω, and a gain increasing to 10.9 dBi. Field testing proved that the antenna is able to work stably at a frequency of 143 MHz with an effective communication range of more than 10 km, although signal quality decreases at longer distances due to environmental obstacles and interference. Overall, the results of this study indicate that the designed four-element Yagi antenna meets the technical criteria of low VSWR, impedance approaching 50 Ω, adequate return loss, and high gain, making it suitable for use in supporting long-distance communications in amateur radio systems.
subject: Articles
  topic: section
subject: yagi antenna
  topic: keywords
subject: VHF 143 MHz
  topic: keywords
subject: Return Loss
  topic: keywords
subject: VSWR
  topic: keywords
subject: Gain
  topic: keywords
creator: Cik Sadan
creator: Zakuan Agung
rights: Copyright (c) 2025 ITEJ (Information Technology Engineering Journals)
date: 2025-11-17
publication date: 2025-11-17
starting page: 315
ending page: 330
doi: 10.24235/itej.v10i2.279

Application Of Certainty Factor In Detecting Learning Concentration Disorders In Children At School
type: item
description: Learning concentration disorders are a fairly common problem in elementary schools and can have a significant impact on students' academic performance. At UPTD SDN 015861 Bunut Seberang, initial observations indicate that around 20–25% of students experience symptoms such as distractibility, difficulty focusing, hyperactivity, and decreased motivation to learn. Current interventions are limited, lack a structured system, and rely on teachers' subjective assessments. This study aims to develop an expert system based on the Certainty Factor method to detect learning concentration disorders more objectively and accurately. The research method uses a quantitative approach with stages of problem identification, data collection through observation and interviews, analysis, system design using UML, and implementation based on PHP and MySQL. The system processes student symptom data, calculates the confidence level of the diagnosis, and provides follow-up recommendations for teachers and parents. The implementation results show that the system can efficiently identify potential learning concentration disorders, assist teachers in decision-making, and serve as a model that can be adapted by other schools facing similar issues.
subject: Articles
  topic: section
subject: Expert System
  topic: keywords
subject: Certainty Factor
  topic: keywords
subject: Detection
  topic: keywords
subject: Learning Disorders
  topic: keywords
subject: Children
  topic: keywords
creator: Rian Syahputri
creator: Rizaldi Rizaldi
creator: Elly Rahayu
rights: Copyright (c) 2025 ITEJ (Information Technology Engineering Journals)
date: 2025-08-25
publication date: 2025-08-25
starting page: 307
ending page: 314
doi: 10.24235/itej.v10i2.277

Performance of Self-Compacting Concrete (SCC) Mixes with Different Brands of Superplasticizers
type: item
description: Self-Compacting Concrete (SCC), classified as High-Performance Concrete (HPC), is a type of cement-based concrete characterized by its high flowability, ability to compact without vibration, and resistance to segregation. These properties make SCC ideal for structures with dense reinforcement or complex cross-sections. The use of a Superplasticizer admixture is essential in producing SCC with the required performance. This study aimed to analyze the influence of three Superplasticizer brands—NAPTHA 600D, NORMET TanCem 60RP, and CONSOL P200-R 1S—on the characteristics and performance of SCC. The experimental work was conducted at the Laboratory of Geotechnics, Tunnels, and Structures (BGTS) of the Road and Bridge Engineering Implementation Unit. Three dosage variations (0.5%, 0.7%, and 1.0%) were tested to evaluate homogeneity, slump flow, and compressive strength. The slump flow was controlled according to the Bina Marga General Specifications 2018 Revision 2 (550–850 mm), and the compressive strength was targeted at 33 MPa at 7 days. The results showed that all Superplasticizers produced different flowability and strength characteristics. At 1.0% dosage, each brand achieved the required slump flow and compressive strength, with minor variations in homogeneity and bleeding behavior.
subject: Articles
  topic: section
subject: Self-Compacting Concrete (SCC)
  topic: keywords
subject: Superplasticizer
  topic: keywords
subject: Slump Flow
  topic: keywords
subject: Compressive Strength
  topic: keywords
subject: Concrete Homogeneity
  topic: keywords
creator: Asep Hilmansyah
rights: Copyright (c) 2025 ITEJ (Information Technology Engineering Journals)
date: 2025-10-20
publication date: 2025-10-20
starting page: 298
ending page: 306
doi: 10.24235/itej.v11i1.283

Implementation Of E-SCM Efforts To Improve Distribution Management Efficiency
type: item
description: This research focuses on the design and implementation of an Electronic Supply Chain Management (E-SCM) system to enhance efficiency and responsiveness in distribution and inventory management within the agricultural sector. The study addresses recurring challenges in supply chain operations, including inefficiencies in inventory tracking, lack of coordination and transparency between suppliers and customers, and difficulty in forecasting demand due to fluctuating market conditions, seasonal cycles, and environmental factors. These challenges often result in stock imbalances, delayed deliveries, increased operational costs, and diminished customer satisfaction. The proposed solution is a web-based platform integrating administrators, suppliers, and customers into a single digital ecosystem. It allows users to place orders, monitor real-time stock availability, and generate dynamic reports, thereby improving coordination, transparency, and decision-making across the supply chain. Adopting a qualitative methodology, data were collected through direct observation, structured interviews, document analysis, and a literature review. The system was developed using PHP for server-side programming, MySQL for database management, and Visual Studio Code as the primary development environment. System validation through black-box testing confirmed that all functional and usability requirements were met. The implementation results demonstrate that the E-SCM system improves distribution management efficiency by approximately 35%, reduces manual inventory errors by over 40%, and significantly enhances responsiveness to demand fluctuations. Additionally, it strengthens engagement between suppliers and customers by enabling transparent communication and immediate access to accurate data. The findings indicate that E-SCM adoption can serve as a strategic enabler for small and medium-sized enterprises (SMEs) to optimize supply chain performance, reduce logistical inefficiencies, and ac…
subject: Articles
  topic: section
subject: Supply Chain Management
  topic: keywords
subject: E-SCM
  topic: keywords
subject: Agricultural Distribution
  topic: keywords
subject: Web-Based Information System
  topic: keywords
subject: Inventory Optimization
  topic: keywords
subject: SME Digital Transformation
  topic: keywords
subject: Operational Efficiency
  topic: keywords
creator: Diatri Arditia Arini
creator: Nurul Rahmadani
creator: Suparmadi Suparmadi
rights: Copyright (c) 2025 ITEJ (Information Technology Engineering Journals)
date: 2025-08-20
publication date: 2025-08-20
starting page: 278
ending page: 286
doi: 10.24235/itej.v10i2.274

Implementation Of SCM In The Mattress Manufacturing Industry
type: item
description: The manufacturing industry is experiencing rapid growth, compelling companies to adopt integrated and technology-driven approaches in managing production and supply chain operations. In the springbed manufacturing sector, where demand is consistently high from household, hospitality, and institutional markets, maintaining efficient supply chain management is essential for sustaining competitiveness and meeting fluctuating market needs. However, many enterprises in this sector still rely on manual processes for inventory tracking, stock reporting, and procurement, which often lead to inefficient resource utilization, increased susceptibility to human error, delays in raw material replenishment, and a decline in customer satisfaction due to unfulfilled orders. This study addresses these challenges by implementing and evaluating a web-based Supply Chain Management (SCM) system as a strategic solution to enhance efficiency, accuracy, and real-time operational control in inventory and distribution processes. Using a qualitative research approach, data were collected through direct observation, structured interviews with key stakeholders, and comprehensive documentation reviews over the course of one year. The system was developed using PHP for backend functionality and MySQL for database management, with the design structured through Unified Modeling Language (UML) to align with specific business workflows and operational requirements. The resulting SCM system integrates supplier order tracking, raw material inventory monitoring, production scheduling, and customer order management into a centralized platform. By automating tasks that were previously manual, the system reduces discrepancies in stock reporting, enhances the traceability of raw materials and finished products, and supports timely decision-making. Additionally, it enables remote access to real-time data, providing improved operational visibility and managerial control. System testing, conducted through iter…
subject: Articles
  topic: section
subject: Supply Chain Management (SCM)
  topic: keywords
subject: Web-Based Information System
  topic: keywords
subject: Inventory Optimization
  topic: keywords
subject: Manufacturing Efficiency
  topic: keywords
subject: Small Business Digitalization
  topic: keywords
creator: Sri Wulan Rhamadhani
creator: Nuriadi Manurung
creator: Iin Almeina Lubis
rights: Copyright (c) 2025 ITEJ (Information Technology Engineering Journals)
date: 2025-08-20
publication date: 2025-08-20
starting page: 287
ending page: 297
doi: 10.24235/itej.v10i2.275

The Customer Relationship Management Concept Increases Customer Commitment
type: item
description: The advancement of information technology has encouraged business actors, including retail enterprises such as Toko Jaya Fashion, to adopt digital strategies in order to maintain and enhance customer commitment. Toko Jaya Fashion still operates using a manual sales system, resulting in low efficiency in customer data management and a noticeable decline in sales, particularly at the end of 2024. This study employs a qualitative research method by observing a single case in detail. This approach allows the researcher to gain a comprehensive understanding of the issues studied. This study aims to design and implement a web-based Customer Relationship Management (CRM) system as a solution to address these issues. The system is developed using the PHP programming language and MySQL database, and is equipped with features such as member cards, cashback programs, monthly sales reports, and online customer service. Based on the implementation results, the system significantly improves service quality, broadens marketing reach, and assists in managing customer data in a structured manner. It provides easier access to product information, offers special promotions for loyal customers, and facilitates customer feedback through WhatsApp integration. Moreover, the adoption of this CRM website has expanded product sales to customers outside the Meranti area, enabling Toko Jaya Fashion to reach more customers and increase overall satisfaction, thereby strengthening customer commitment.
subject: Articles
  topic: section
subject: Customer Commitment
  topic: keywords
subject: Customer Relationship Management
  topic: keywords
subject: Information System
  topic: keywords
subject: MySQL
  topic: keywords
subject: Php
  topic: keywords
subject: Toko Jaya Fashion
  topic: keywords
subject: Website
  topic: keywords
creator: Widiya Putri Nurani
creator: Nuriadi Manurung
creator: Muthia Dewi
rights: Copyright (c) 2025 ITEJ (Information Technology Engineering Journals)
date: 2025-08-20
publication date: 2025-08-20
starting page: 267
ending page: 277
doi: 10.24235/itej.v11i1.276

Measuring The Efficiency of Social Assistance Recipients in the Family Hope Program Using the Data Envelopment Analysis Method
type: item
description: This study aims to measure the efficiency of aid distribution in the Family Hope Program (PKH) across six sub-districts in Medan Denai using the Data Envelopment Analysis (DEA) method. DEA allows a relative efficiency evaluation of multiple decision-making units (DMUs) by comparing inputs such as budget, number of officers, and recipients, against outputs like targeted beneficiary rate, distribution timeliness, and satisfaction level. The findings reveal that three sub-districts—Medan Tenggara, Tegal Sari Mandala I, and Tegal Sari Mandala II—achieved full efficiency with a score of 1. In contrast, Binjai, Denai, and Tegal Sari Mandala III were found to be inefficient due to higher input consumption not matched by proportional output. The study suggests that inefficient sub-districts can improve their performance by adopting the practices of efficient ones. These insights are expected to assist local governments in optimizing social assistance programs and ensuring better resource utilization.
subject: Articles
  topic: section
subject: Efficiency
  topic: keywords
subject: Data Envelopment Analysis
  topic: keywords
subject: Social Assistance
  topic: keywords
subject: PKH
  topic: keywords
subject: Resource Allocation
  topic: keywords
creator: Fadilah Suryani Hasibuan
creator: Dahlan Abdullah
creator: Nunsina Nunsina
rights: Copyright (c) 2025 ITEJ (Information Technology Engineering Journals)
date: 2025-07-31
publication date: 2025-07-31
starting page: 256
ending page: 266
doi: 10.24235/itej.v10i2.268

Learning Media Application for Basic Digital Courses Using Augmented Reality with the Marker Based Tracking (MBT) Method
type: item
description: The rapid development of digital technology opens up opportunities to increase the effectiveness of learning media, one of which is by utilizing Augmented Reality (AR) technology. This study aims to develop an AR-based digital basic course learning media application with the marker-based tracking method. The materials presented include number systems, logic gates, boolean algebra, Karnaugh maps, and flip-flops. The development process is carried out through a waterfall approach which includes literature studies, needs analysis, system design, implementation, and testing. The results of the study show that the developed application is able to display 3D objects interactively and in real-time through features such as rotation, zoom, and audio, so as to improve students' understanding and interest in learning. The application of AR technology has proven to be an innovative and effective medium in conveying abstract concepts in digital learning.
subject: Articles
  topic: section
subject: Augmented Reality
  topic: keywords
subject: Marker-Based Tracking
  topic: keywords
subject: Digital Learning
  topic: keywords
subject: Number Systems
  topic: keywords
subject: Logic Gates
  topic: keywords
creator: Syamsul Buchori Pane
creator: Eva Darnila
creator: Fajriana Fajriana
rights: Copyright (c) 2025 ITEJ (Information Technology Engineering Journals)
date: 2025-07-31
publication date: 2025-07-31
starting page: 243
ending page: 255
doi: 10.24235/itej.v10i2.263

Applying Supply Chain Management in a Web-Based Drug Inventory System
type: item
description: The advancement of information technology has driven digitalization across various sectors, including drug inventory management in the pharmaceutical field. Toko Obat Lamtama still faces challenges in stock management due to the absence of a computerized system, leading to risks of stock shortages, surpluses, and expired medications. This study aims to design and implement a web-based drug inventory information system integrated with the concept of Supply Chain Management (SCM) to improve operational efficiency and customer service. The methodology includes needs analysis, system design using UML, and implementation of a web-based system. The results show that the system can automate the processes of recording, monitoring, and ordering drugs more accurately, while also supporting faster and more precise decision-making. The implementation of SCM within this information system has also successfully reduced waste caused by unused medications and enhanced the efficiency of supply chain management.
subject: Articles
  topic: section
subject: Supply Chain Management (SCM)
  topic: keywords
subject: Information System
  topic: keywords
subject: Drug Inventory
  topic: keywords
subject: Web-based Application
  topic: keywords
subject: Stock management
  topic: keywords
creator: Maysaroh Maysaroh
creator: Muhammad Ardiansyah Sembiring
creator: Sudarmin Sudarmin
rights: Copyright (c) 2025 ITEJ (Information Technology Engineering Journals)
date: 2025-07-31
publication date: 2025-07-31
starting page: 230
ending page: 242
doi: 10.24235/itej.v10i2.262

Sharing SSH Threat Intelligence across Multiple Servers using WebSocket and Fail2Ban
type: item
description: This study presents a lightweight prototype designed to improve SSH brute-force defense by enabling collaborative IP blocking across multiple servers. The system integrates Fail2Ban with WebSocket to distribute banned IP addresses in real-time among trusted nodes eliminating the need for centralized infrastructure. The experiment was conducted on 3 virtual private servers (VPS), where one acted as the WebSocket server and the others as clients equipped with Fail2Ban. When an SSH brute-force attack is detected, the source IP is automatically shared across the network and blocked on all connected nodes. A qualitative observational approach was used to evaluate the system’s feasibility. Log data from the clients and server was analyzed to confirm the accuracy and consistency of IP synchronization. The results showed that banned IPs were propagated and enforced on all nodes within seconds of detection. These findings demonstrate the potential for decentralized, lightweight collaboration among SSH servers to enhance security without introducing complex infrastructure or external dependencies.
subject: Articles
  topic: section
subject: Fail2Ban
  topic: keywords
subject: WebSocket
  topic: keywords
subject: SSH Security
  topic: keywords
subject: Intrusion Prevention System
  topic: keywords
subject: Threat Intelligence Sharing
  topic: keywords
creator: Aristo Tely
creator: Aryanti Aryanti
creator: Sopian Soim
rights: Copyright (c) 2025 ITEJ (Information Technology Engineering Journals)
date: 2025-07-31
publication date: 2025-07-31
starting page: 221
ending page: 229
doi: 10.24235/itej.v10i2.270

Improving Multi-Floor Factory Facilities Layout Using CRAFT Algorithm Method in UMKM Aneka Songkok Jombang
type: item
description: Facility layout design is a challenging issue in an industry. UMKM Aneka Songkok is a multi-floor building consisting of several departments. Observations show that the placement of work areas does not take into account the relationships between work stations, does not optimise space utilisation, and has an unsystematic material flow. This causes various problems, such as increased material transfer distances and greater occupational safety risks. To address these issues, facility layout improvements are necessary to enhance production effectiveness and efficiency. This study aims to redesign the facility layout of UMKM Aneka Songkok using the Craft algorithm method to improve the layout design, making the facility layout more effective and efficient, thereby organising the production process and minimising material movement distances between workstations. The research results show a reduction in distance per production run of 109.35 m and a reduction in distance per day of production of 387.3 m. The proposed layout was selected because it reduces material movement distances and improves material flow.
subject: Articles
  topic: section
subject: Craft Algorithm
  topic: keywords
subject: Facility Layout Optimization
  topic: keywords
subject: Multi-floor
  topic: keywords
subject: Production Effectiveness
  topic: keywords
creator: Firda Amalia Putri
creator: Rusindiyanto Rusindiyanto
rights: Copyright (c) 2025 ITEJ (Information Technology Engineering Journals)
date: 2025-07-28
publication date: 2025-07-28
starting page: 205
ending page: 220
doi: 10.24235/itej.v10i2.266

Forecasting of Palm Oil CPO Production Results at PTPN III Batang Toru Plantation Using The Autoregressive Integrated Moving Average Method
type: item
description: The increasing demand for palm oil as a raw material for food and energy industries has driven the need for accurate forecasting methods to optimize palm oil production management. This study aims to forecast Crude Palm Oil (CPO) production at PTPN III Batang Toru Plantation using the Autoregressive Integrated Moving Average (ARIMA) method. Monthly time series data from January 2020 to January 2024, including Fresh Fruit Bunches (FFB), loose fruit, and CPO yields, were analyzed to build the forecasting model. The Augmented Dickey-Fuller (ADF) test confirmed that the data is stationary without differencing. Based on the ACF, PACF, and white noise tests, the ARIMA(1,0,1) model was identified as the best fit. The forecasting results indicated a potential increase in CPO production from January 2025 to December 2026. However, alternative models like CPOF showed poor accuracy, with a high MAPE of 442.12%, suggesting the need for further model refinement. Despite limitations, the ARIMA method remains effective for short-term forecasting and supports data-driven decision-making in the plantation sector.
subject: Articles
  topic: section
subject: Palm Oil
  topic: keywords
subject: Forecasting
  topic: keywords
subject: ARIMA
  topic: keywords
subject: Time Series
  topic: keywords
subject: CPO Production
  topic: keywords
creator: Sylva Putri Utari
creator: Asrianda Asrianda
creator: Sujacka Retno
rights: Copyright (c) 2025 ITEJ (Information Technology Engineering Journals)
date: 2025-07-28
publication date: 2025-07-28
starting page: 192
ending page: 204
doi: 10.24235/itej.v10i2.254

Performance Evaluation of Modulation and Power Allocation Effects on BER in NOMA with SIC over AWGN Channels
type: item
description: This study evaluates the performance of a Non-Orthogonal Multiple Access (NOMA) system implementing Successive Interference Cancellation (SIC) over Additive White Gaussian Noise (AWGN) channels, focusing on the effects of modulation schemes and power allocation on Bit Error Rate (BER). Three modulation schemes BPSK, QPSK, and 16QAM are studied in combination with different power allocation configurations (e.g., α = 0.1, 0.3) for two users in an OFDM-based NOMA downlink scenario. The signal superposition process is performed at the transmitter side, while SIC is applied at the receiver side to separate the user signals. The simulation results show that the BER performance is greatly affected by the modulation level and power allocation ratio. Lower-order modulations (such as BPSK and QPSK) provide better performance at low SNR, especially for users with poorer channel quality. On the other hand, improper power distribution can cause error propagation in the SIC process, degrading the demodulation accuracy. This study emphasizes the importance of selecting adaptive modulation schemes and power allocation strategies in NOMA system design. These findings provide important contributions to the development of future wireless communication systems, especially 5G and later generations, which demand high spectral efficiency and multi-user service reliability.
subject: Articles
  topic: section
subject: NOMA
  topic: keywords
subject: SC
  topic: keywords
subject: SIC
  topic: keywords
subject: 5G
  topic: keywords
subject: Network Generation
  topic: keywords
creator: Defina Apriliani
creator: Sopian Soim
creator: Sholihin Sholihin
rights: Copyright (c) 2026 ITEJ (Information Technology Engineering Journals)
date: 2026-04-13
publication date: 2026-04-13
doi: 10.24235/s3vm2936

Developing Pedagogically Aligned AR Media for Teaching Polyhedra in Junior Secondary Education
type: item
description: This study presents the design and evaluation of marker-based augmented reality instructional media using Unity and Vuforia to support polyhedra learning in junior high school geometry. The development followed the 4D model and was grounded in a five-phase learning trajectory consisting of exploration, manipulation, analysis, application, and reflection. The AR media features interactive 3D polyhedron models, net unfolding animation, and formula overlays, each activated through printed markers. The design was informed by students’ learning needs, particularly difficulties in visualizing shapes, distinguishing surface area from volume, and applying geometric formulas correctly. Expert validation using Aiken’s V confirmed strong instructional alignment. Student perception data, classroom observations, and teacher interviews indicated that the media enhanced spatial reasoning, improved engagement, and encouraged verbal mathematical discourse. The findings support the integration of AR into structured pedagogical sequences and demonstrate its potential to improve geometry instruction in diverse classroom settings.
subject: Articles
  topic: section
subject: augmented reality, geometry learning, Unity, Vuforia, spatial reasoning
  topic: keywords
creator: Arif Abdul Haqq
creator: Hendri Handoko
creator: Reo Al Farizi
rights: Copyright (c) 2025 ITEJ (Information Technology Engineering Journals)
date: 2025-07-05
publication date: 2025-07-05
starting page: 174
ending page: 191
doi: 10.24235/itej.v10i1.260

Classification of Family Hope Program Assistance Recipients Using the C4.5 Algorithm with Z-Score Normalization (Case Study in Atu Lintang District)
type: item
description: One of the challenges in distributing social assistance is determining recipients who are truly eligible objectively and efficiently. This study develops a classification system for Family Hope Program (PKH) recipients by utilizing the C4.5 algorithm combined with Z-Score normalization to group citizen data into Eligible or Ineligible categories. The data used came from 551 residents of Atu Lintang District and included attributes such as house status, wall type, toilet facilities, occupation, and income. The research stages started from data preprocessing, attribute normalization, training the model, to evaluating its performance through metric such as accuracy, precision, recall, and F1-score. The evaluation results showed that the model achieved an accuracy of 94%, precision 0.96, recall 0.90, and F1-score 0.93 for the Eligible category. Based on the confusion matrix, the model was able to correctly classify 47 Eligible residents and 57 Ineligible residents. Analysis of the attributes showed that occupation was the most influential feature in the classification process. These results prove that the application of the C4.5 algorithm can be applied effectively to build a decision support system in the distribution of social assistance, and provide accurate and easy-to-understand results. This study also opens up opportunities for improving model performance by adding more data and testing with alternative algorithms going forward.
subject: Articles
  topic: section
subject: C4.5 Algorithm
  topic: keywords
subject: Classification
  topic: keywords
subject: Confusion Matrix
  topic: keywords
subject: Family Hope Program
  topic: keywords
subject: Z-Score Normalization
  topic: keywords
creator: Siti Wahyuni
creator: Asrianda Asrianda
creator: Sujacka Retno
rights: Copyright (c) 2025 ITEJ (Information Technology Engineering Journals)
date: 2025-06-16
publication date: 2025-06-16
starting page: 160
ending page: 173
doi: 10.24235/itej.v10i1.207

Real-Time Object Detection for Smart City Surveillance and Traffic Management Systems
type: item
description: The rapid growth of urban populations necessitates the development of intelligent systems to manage city infrastructure effectively. This study presents a real-time object detection framework designed to enhance surveillance and traffic management in smart city environments. Leveraging deep learning-based models, specifically optimized versions of YOLO (You Only Look Once), the system detects and classifies vehicles, pedestrians, and other urban entities from live video streams. The proposed method integrates edge computing for low-latency inference, enabling timely decision-making in scenarios such as traffic flow optimization, pedestrian safety, and anomaly detection. Experiments were conducted using publicly available urban datasets and real-time feeds from city surveillance cameras. The results demonstrate high detection accuracy (mAP > 85%) with inference speeds exceeding 30 FPS on edge devices, proving its suitability for deployment in resource-constrained environments. This work contributes to the ongoing advancement of intelligent urban infrastructure by providing a scalable and efficient solution for real-time object perception in smart cities.
subject: Articles
  topic: section
creator: Luna Marique
creator: Rosan Delyn
creator: Jose Limani
rights: Copyright (c) 2025 ITEJ (Information Technology Engineering Journals)
date: 2025-06-12
publication date: 2025-06-12
starting page: 153
ending page: 159
doi: 10.24235/itej.v10i1.208

Analysis Of Defect Waste Reduction In Metal Forming Process Using Lean Six Sigma
type: item
description: This study investigates the reduction of defect waste in the metal forming process at PT XYZ, with a specific focus on the production of the reff D nose component. Recognizing the critical importance of quality in the aerospace industry, where even minimal defects can compromise safety and operational integrity, this research applies Lean Six Sigma methodology to address the observed defect rate, which averaged 4.6% over the period 2018–2023—significantly exceeding the company’s target of 1%. A comprehensive DMAIC (Define, Measure, Analyze, Improve, Control) framework was employed to systematically identify, quantify, and analyze the sources of defects. Data were collected from both primary sources, including direct observations and stakeholder interviews, and secondary sources such as production records and defect reports. Advanced tools such as SIPOC diagrams, Pareto analysis, Interpretive Structural Modeling (ISM), and the 5 Whys method for Root Cause Analysis (RCA) were utilized to determine the critical factors affecting process performance. The analysis revealed that issues related to raw material quality, suboptimal process parameter settings, machine conditions, operator competency, and production environment stability are the primary contributors to the elevated defect rates. Based on these findings, targeted improvement strategies were proposed to optimize process efficiency and enhance product quality.
subject: Articles
  topic: section
subject: Defect Waste Reduction
  topic: keywords
subject: Metal Forming
  topic: keywords
subject: Lean Six Sigma
  topic: keywords
subject: DMAIC
  topic: keywords
subject: Process Improvement
  topic: keywords
creator: Hassan Rahmatillah
creator: Rusindiyanto Rusindiyanto
rights: Copyright (c) 2025 ITEJ (Information Technology Engineering Journals)
date: 2025-06-12
publication date: 2025-06-12
starting page: 141
ending page: 152
doi: 10.24235/itej.v10i1.203

Risk Analysis in the Palm Oil Harvesting Process Using the Mix Method (Case Study at PT XYZ South Kalimantan)
type: item
description: The harvesting process in oil palm plantations is one of the critical stages that greatly affects the productivity and quality of production results. The risks that arise in this process, both from operational risks, environmental risks, and human resource risks can have a significant impact on operational efficiency. This study aims to determine the level of risk in the harvesting process of oil palm products at PT XYZ South Kalimantan and to find out the proposed improvements that are in accordance with the problems faced using the mixed method, which combines qualitative and quantitative techniques. The results of the study showed that there were three levels of risk with the highest risk values. Namely the risk of work accidents with a risk value of 20 and a high risk level, the risk of damage to harvesting equipment with a risk value of 10 and a moderate risk level, and the risk of replacing harvesting equipment with a risk value of 10 and a moderate risk level. These three risks are risks with the highest priority level of handling. For this reason, it is recommended to focus on human control and SOPs, control of tools and procedures, and change management. With proper risk management, the harvesting process can run more efficiently, safely, and sustainably.
subject: Articles
  topic: section
subject: Palm Oil
  topic: keywords
subject: Mix Method
  topic: keywords
subject: Harvesting Process
  topic: keywords
subject: Risk
  topic: keywords
creator: Rahyang Niskala Wastu Kencana
creator: Iriani Iriani
rights: Copyright (c) 2025 ITEJ (Information Technology Engineering Journals)
date: 2025-06-12
publication date: 2025-06-12
starting page: 132
ending page: 140
doi: 10.24235/itej.v10i1.234

A Application of Six Sigma and FMEA Methods for Defect Reduction in Woven Bag Production
type: item
description: This study aims to reduce the number of defects in the production of woven bags, which experiences product defects ranging from 4.1% to 5.4%. The method used is Six Sigma with the DMAIC (Define, Measure, Analyze, Improve, Control) approach to improve product quality. Root cause analysis was carried out using fishbone diagrams and Failure Mode and Effect Analysis (FMEA) which identified four main factors causing defects, namely humans, machines, materials, and methods. The results showed that the defects that had the most effect on the production process were perforated weaving, stretched weaving, and miss print. From the data analyzed for the period January to December 2024, a Defects Per Million Opportunities (DPMO) value of 6,746,655 and a sigma level of 3.97 were obtained, which shows that even though the production process is good enough, there is still room for improvement. Improvement recommendations include increased quality supervision and regular calibration of machines to achieve better quality targets. With the application of the Six Sigma method, it is hoped that the company can achieve a significant reduction in the defect rate and improve overall production performance.
subject: Articles
  topic: section
subject: DMAIC
  topic: keywords
subject: FMEA
  topic: keywords
subject: Product quality
  topic: keywords
subject: Six Sigma
  topic: keywords
subject: Woven bag
  topic: keywords
creator: Faris Yasin Rochmatullah
creator: Rusindiyanto Rusindiyanto
rights: Copyright (c) 2025 ITEJ (Information Technology Engineering Journals)
date: 2025-06-12
publication date: 2025-06-12
starting page: 119
ending page: 131
doi: 10.24235/itej.v10i1.215

IoT-Based Cooking Oil Quality Monitoring System Using Thresholding Method on Android Application
type: item
description: Repeated use of cooking oil can reduce its quality and have a negative impact on health, but these changes are difficult to recognize with the naked eye. This research aims to develop an Internet of Things (IoT)-based cooking oil quality monitoring system with a thresholding method connected to an Android application. The system is equipped with a TCS3200 sensor to detect color, an LDR sensor to measure clarity, and a pH sensor to monitor oil acidity. The readings from the three sensors are used to classify the oil quality into three categories : good, medium, and unfit. The final classification is determined using unified decision logic based on the majority values from the sensors. Tests were conducted on six oil samples with a reading frequency of 60 times per sample. Data was sent in real-time to firebase and displayed through an android app. In addition, the system sent automatic notifications via telegram for remote monitoring. The results show that one-time use oil is classified as good, 2 to 4 times use is moderate, and 5 times use is categorized as unfit for consumption. The system offers a practical and efficient solution for digital and real-time monitoring of oil quality.
subject: Articles
  topic: section
subject: Cooking Oil Quality
  topic: keywords
subject: IoT Monitoring System
  topic: keywords
subject: Thresholding Method
  topic: keywords
subject: Android Application
  topic: keywords
subject: Sensor Integration
  topic: keywords
creator: Nida Dhia Ulhaq
creator: Irma Salamah
creator: Suroso Suroso
rights: Copyright (c) 2025 ITEJ (Information Technology Engineering Journals)
date: 2025-06-12
publication date: 2025-06-12
starting page: 109
ending page: 118
doi: 10.24235/itej.v10i1.233