ITEJ (Information Technology Engineering Journals)

Forecasting of Palm Oil CPO Production Results at PTPN III Batang Toru Plantation Using The Autoregressive Integrated Moving Average Method

2025-07-31T12:38:08SE Asia Standard Time

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.

Improving Multi-Floor Factory Facilities Layout Using CRAFT Algorithm Method in UMKM Aneka Songkok Jombang

2025-07-31T12:38:09SE Asia Standard Time

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.

Sharing SSH Threat Intelligence across Multiple Servers using WebSocket and Fail2Ban

2025-07-31T12:52:37SE Asia Standard Time

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.

Applying Supply Chain Management in a Web-Based Drug Inventory System

2025-07-31T13:12:43SE Asia Standard Time

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.

Learning Media Application for Basic Digital Courses Using Augmented Reality with the Marker Based Tracking (MBT) Method

2025-07-31T13:32:55SE Asia Standard Time

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.

Measuring The Efficiency of Social Assistance Recipients in the Family Hope Program Using the Data Envelopment Analysis Method

2025-07-31T14:24:45SE Asia Standard Time

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.

The Customer Relationship Management Concept Increases Customer Commitment

2025-08-20T10:04:35SE Asia Standard Time

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.

Implementation Of E-SCM Efforts To Improve Distribution Management Efficiency

2025-08-20T13:36:18SE Asia Standard Time

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 achieve sustainable growth in a competitive digital economy

Implementation Of SCM In The Mattress Manufacturing Industry

2025-08-20T12:46:56SE Asia Standard Time

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 iterative validation and performance assessments, demonstrated measurable improvements in data accuracy, inventory turnover speed, and customer order fulfillment rates. The findings suggest that the adoption of a tailored, web-based SCM system can significantly improve operational efficiency for small-scale manufacturing enterprises. Moreover, the study emphasizes the role of digital transformation in strengthening business resilience and adaptability, particularly in mitigating the impact of supply chain disruptions. This research not only offers practical solutions for optimizing supply chain workflows but also serves as a reference framework for similar industries aiming to modernize their inventory and supply chain systems through integrated information technology solutions.

Application Of Certainty Factor In Detecting Learning Concentration Disorders In Children At School

2025-08-25T12:13:50SE Asia Standard Time

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.