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ITEj (Information Technology Engineering Journals)
Published by Universitas Islam Negeri Siber Syekh Nurjati Cirebon
ISSN : 25482130     EISSN : 25482157     DOI : https://doi.org/10.24235/itej.v5i2
Core Subject : Science, Education, Engineering,
Computer Science & IT Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Mathematics
ITEj (Information Technology Engineering Journals) is an international standard, open access, and peer-reviewed journal to discuss new findings in software engineering and information technology. The journal publishes original research articles and case studies focused on e-learning and information technology. All papers are peer-reviewed by reviewers. The scope of the system discussed is attached but not limited; Systems and software engineering Artificial Intelligence Technology (AI) and Machine Learning Internet of Thing and Big Data Smart Education systems and components Computer Vision Information Technology etc
Arjuna Subject : -
Articles 119 Documents
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A Application of Six Sigma and FMEA Methods for Defect Reduction in Woven Bag Production Rochmatullah, Faris Yasin; Rusindiyanto, Rusindiyanto
ITEJ (Information Technology Engineering Journals) Vol 10 No 1 (2025): June
Publisher : Pusat Teknologi Informasi dan Pangkalan Data IAIN Syekh Nurjati Cirebon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24235/itej.v10i1.215

Abstract

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.
Warehousing Process Flow Analysis Using Lean Warehousing Approach For Waste Minimization At PT XYZ Nabila, Salma Putria; Sumiati, Sumiati
ITEJ (Information Technology Engineering Journals) Vol 10 No 1 (2025): June
Publisher : Pusat Teknologi Informasi dan Pangkalan Data IAIN Syekh Nurjati Cirebon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24235/itej.v10i1.230

Abstract

This research aims to identify and minimize waste in the warehousing process at PT XYZ using the lean warehousing approach. The problems faced are non-value added activities such as waiting time, repetitive movements, and inappropriate material placement. The methods used include observation, interviews, data collection, and analysis using Value Stream Mapping (VSM) and Process Activity Mapping (PAM). The results showed five main wastes, namely waiting time, defects, unnecessary motion, and excess inventory with the highest weights of 3.75 to 3.25. Implementation of improvements reduced six NVA activities, decreased the number of activities from 31 to 25, and saved activity time from 338 minutes to 243 minutes. In addition, Process Cycle Efficiency (PCE) increased by 25.36% from 46.74% to 72.1%. This research is expected to improve warehouse operational efficiency and become a reference for the application of lean warehousing in the electricity sector.
IoT-Based Cooking Oil Quality Monitoring System Using Thresholding Method on Android Application Ulhaq, Nida Dhia; Salamah, Irma; Suroso, Suroso
ITEJ (Information Technology Engineering Journals) Vol 10 No 1 (2025): June
Publisher : Pusat Teknologi Informasi dan Pangkalan Data IAIN Syekh Nurjati Cirebon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24235/itej.v10i1.233

Abstract

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.
Risk Analysis in the Palm Oil Harvesting Process Using the Mix Method (Case Study at PT XYZ South Kalimantan) Kencana, Rahyang Niskala Wastu; Iriani, Iriani
ITEJ (Information Technology Engineering Journals) Vol 10 No 1 (2025): June
Publisher : Pusat Teknologi Informasi dan Pangkalan Data IAIN Syekh Nurjati Cirebon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24235/itej.v10i1.234

Abstract

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.
Developing Pedagogically Aligned AR Media for Teaching Polyhedra in Junior Secondary Education Haqq, Arif Abdul; Handoko, Hendri; Farizi, Reo Al
ITEJ (Information Technology Engineering Journals) Vol 10 No 1 (2025): June
Publisher : Pusat Teknologi Informasi dan Pangkalan Data IAIN Syekh Nurjati Cirebon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24235/itej.v10i1.260

Abstract

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.
Forecasting of Palm Oil CPO Production Results at PTPN III Batang Toru Plantation Using The Autoregressive Integrated Moving Average Method Utari, Sylva Putri; Asrianda, Asrianda; Retno, Sujacka
ITEJ (Information Technology Engineering Journals) Vol 10 No 2 (2025): December (In Progress)
Publisher : Pusat Teknologi Informasi dan Pangkalan Data IAIN Syekh Nurjati Cirebon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24235/itej.v10i2.254

Abstract

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.
Applying Supply Chain Management in a Web-Based Drug Inventory System Maysaroh, Maysaroh; Sembiring, Muhammad Ardiansyah; Sudarmin, Sudarmin
ITEJ (Information Technology Engineering Journals) Vol 10 No 2 (2025): December (In Progress)
Publisher : Pusat Teknologi Informasi dan Pangkalan Data IAIN Syekh Nurjati Cirebon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24235/itej.v10i2.262

Abstract

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 Pane, Syamsul Buchori; Darnila, Eva; Fajriana, Fajriana
ITEJ (Information Technology Engineering Journals) Vol 10 No 2 (2025): December (In Progress)
Publisher : Pusat Teknologi Informasi dan Pangkalan Data IAIN Syekh Nurjati Cirebon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24235/itej.v10i2.263

Abstract

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.
Improving Multi-Floor Factory Facilities Layout Using CRAFT Algorithm Method in UMKM Aneka Songkok Jombang Putri, Firda Amalia; Rusindiyanto, Rusindiyanto
ITEJ (Information Technology Engineering Journals) Vol 10 No 2 (2025): December (In Progress)
Publisher : Pusat Teknologi Informasi dan Pangkalan Data IAIN Syekh Nurjati Cirebon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24235/itej.v10i2.266

Abstract

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.
Measuring The Efficiency of Social Assistance Recipients in the Family Hope Program Using the Data Envelopment Analysis Method Hasibuan, Fadilah Suryani; Abdullah, Dahlan; Nunsina, Nunsina
ITEJ (Information Technology Engineering Journals) Vol 10 No 2 (2025): December (In Progress)
Publisher : Pusat Teknologi Informasi dan Pangkalan Data IAIN Syekh Nurjati Cirebon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24235/itej.v10i2.268

Abstract

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.

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