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International Journal of Computer and Information System (IJCIS)
Published by Institut Teknologi Bisnis AAS Indonesia
ISSN : -     EISSN : 27459659     DOI : https://doi.org/10.29040/ijcis
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering
The aim of this journal is to publish quality articles dedicated to all aspects of the latest outstanding developments in the field of informatics engineering. Its scope encompasses the applications of (but are not limited to) : 1. Artificial Intelligence 2. Software Engineering 3. System Design Methodology 4. Data mining and Big Data 5. Human and Computer Interaction 6. Mobile Computing 7. Soft Computing 8. Animation 9. Multimedia and Image Processing 10. Parallel/Distributed Computing 11. Machine Learning 12. Computational Lingustics 13. Data Comunication 14. Networking
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 188 Documents
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Information System for Batik Small and Medium Enterprises (SMEs): Implementation of 3D Maps as a Means of Promotion and Ease of Access to Information Wahyuningrum, Dwi; Alfiani, Oktavia Dewi; Arfianto, Nasrul
International Journal of Computer and Information System (IJCIS) Vol 6, No 1 (2025): IJCIS : Vol 6 - Issue 1 - 2025
Publisher : Institut Teknologi Bisnis AAS Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29040/ijcis.v6i1.216

Abstract

Competition to improve and optimize existing systems to achieve targeted results in an industrial ecosystem is increasingly fierce. This also applies to the Micro, Small, and Medium Enterprises (MSMEs) in Yogyakarta's batik industry. From the consumer's perspective, access to location information is crucial for evaluating the conditions and products of MSMEs. On the other hand, for MSMEs, an increase in consumer visits translates to higher sales. Facilitating the availability of information is a key strategy to attract more visitors to MSMEs, both through direct visits to physical stores and virtually via online shopping platforms. One critical type of information is spatial data (space/position), which consumers use to locate MSMEs. A technological approach, such as website-based spatial access, is expected to meet this need. This study aims to enhance the accessibility of information for all stakeholders, including consumers and other participants in the batik industry ecosystem. It also enables batik MSMEs to optimize promotional strategies, increasing visitor numbers and product sales. This research applied the concept of 3-dimensional visualization to represent the locations of Batik MSMEs in Yogyakarta City and developed an information system for these businesses. The data includes spatial data and attributes, such as a list of MSMEs and detailed information. The information system was developed by integrating MSME location data with MapboxGL (a web app service) to provide a realistic 3D visualization of MSME locations. The final output is a website-based information system freely accessible online to various stakeholders, including consumers, policymakers, and institutions.
Hybrid Approach to Improving the Results of the SVM Classification Using Posterior Probability And Correlation Pamungkas, Canggih Ajika; Zuhairi, Megat F.
International Journal of Computer and Information System (IJCIS) Vol 6, No 1 (2025): IJCIS : Vol 6 - Issue 1 - 2025
Publisher : Institut Teknologi Bisnis AAS Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29040/ijcis.v6i1.217

Abstract

Class imbalance in datasets poses significant challenges to traditional machine learning models, such as Support Vector Machines (SVM), leading to poor performance in minority class classification. To address this issue, this study introduces a hybrid approach, Posterior Probability and Correlation-SVM (PC-SVM), which combines posterior probability estimation and correlation analysis. The purpose of this research is to enhance SVM's ability to classify imbalanced datasets by weighting attributes based on their correlation with the target class and leveraging posterior probabilities to refine decision boundaries. The methodology includes preprocessing datasets to ensure data quality, applying correlation analysis to calculate attribute weights, and using these weights to transform input features into posterior probability estimates. The transformed features serve as inputs to the SVM for classification. Experiments were conducted on two datasets: Yeast and Churn, which exhibit varying degrees of class imbalance. The results demonstrate that the PC-SVM model achieves 100% accuracy, precision, recall, and F1-scores across all classes, significantly outperforming the standard SVM. The approach effectively mitigates the bias toward majority classes by improving sensitivity to minority instances. This study highlights the robustness and reliability of the PC-SVM model in handling imbalanced data classification. In conclusion, integrating posterior probabilities with correlation-based attribute weighting significantly enhances the performance of SVMs on imbalanced datasets. Future research should focus on extending this approach to multiclass problems and optimizing its computational efficiency.
Identifying Regional Patterns of Poverty in Indonesia: a Clustering Approach Using K-Means Wahyuni, Sri; Hananto, Agustia; Huda, Baenil; Apriani, Fitria; Tukino, Tukino
International Journal of Computer and Information System (IJCIS) Vol 6, No 1 (2025): IJCIS : Vol 6 - Issue 1 - 2025
Publisher : Institut Teknologi Bisnis AAS Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29040/ijcis.v6i1.218

Abstract

Poverty in Indonesia remains a major challenge, with significant levels of inequality between provinces. This study applies the K-Means clustering method to analyze poverty distribution patterns in 38 provinces in Indonesia, using data on the percentage of poor people from 2010 to 2024. With this approach, provinces are grouped into three main clusters: low, medium, and high, based on the average poverty rate. The low cluster includes areas with poverty rates below 10%, while the medium and high clusters indicate poverty levels that require more specific policies. The evaluation results show a silhouette score of 0.613, indicating that this grouping is quite good but can still be improved. This study offers important insights to support more targeted and effective policies, especially in achieving Sustainable Development Goal (SDG) 1: Eradicating Poverty.
Website-Based Information System for Recording Sales and Purchase Activities at Rayyan's Grocery Store Efendi, Tino Feri
International Journal of Computer and Information System (IJCIS) Vol 5, No 4 (2024): IJCIS : Vol 5 - Issue 4 - 2024
Publisher : Institut Teknologi Bisnis AAS Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29040/ijcis.v5i4.220

Abstract

Toko Sembako Neena Solo is a grocery store business located in Surakarta, specializing in the sale of staple products such as rice, cooking oil, sugar, and eggs. The store conducts transactions by purchasing products from suppliers and reselling them to customers. However, the transaction records for both purchases and sales are still manually documented in a notebook, which poses risks such as the loss or damage of documents and makes it difficult for the store owner to perform financial calculations. Therefore, there is a need to develop a web-based information system to facilitate the recording of sales and purchase transactions, as well as to support the store’s financial report management. This information system is designed for three types of users: admin, store staff, and the store owner. The system development follows the waterfall method, which includes requirement analysis, system design, coding, testing, and system maintenance. System testing is conducted using the Black Box method. The result of this research is a web-based transaction recording system that helps store staff and owners manage transaction data and generate sales and purchase reports.
Decision Support System in Determining The Route of Delivery of Goods With The Maut and WP Methods at The Kasiyah Shop Rozaq Rais, Nendy Akbar; Efendi, Tino Feri; Pakarti, Moch Bagoes
International Journal of Computer and Information System (IJCIS) Vol 5, No 4 (2024): IJCIS : Vol 5 - Issue 4 - 2024
Publisher : Institut Teknologi Bisnis AAS Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29040/ijcis.v5i4.221

Abstract

The rapid development of information technology has encouraged many companies to switch to digital platforms, including in the retail and trade sectors. Decision Support System (DSS) is one solution that can be used to help the route selection process. An effective and efficient goods delivery process is essential to support the success of logistics operations. An effective and efficient shipping process is essential to support the success of logistics operations. However, this process is often complicated and time-consuming, especially when companies receive many orders from different locations.. To overcome this challenge, the use of a Decision Support System (DSS) can be the right solution. There are various methods that can be used in DSS to support the delivery route selection process, researchers conducted research using the MAUT (Multi-Attribute Utility Theory) and WP (Weighted Points) methods. The results of this study are expected to help improve the effectiveness and efficiency of the selection process, as well as ensure that the selected route has the necessary mileage to support the operational success of logistics companies.
Application of the Attention-Based LSTM Method for Rainfall Prediction in East Java Arifin, Zainal; Tholib, Abu; Hidayat, Rian
International Journal of Computer and Information System (IJCIS) Vol 5, No 4 (2024): IJCIS : Vol 5 - Issue 4 - 2024
Publisher : Institut Teknologi Bisnis AAS Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29040/ijcis.v5i4.224

Abstract

This research aims to measure the performance of the Attention-Based Long Short-Term Memory (LSTM) predictive model in rainfall prediction analysis in East Java, with a focus on including the application of the model in predicting complex time-series data. The main objective of this study is to create an efficient and accurate model and to emit the performance of the Attention-Based LSTM algorithm compared to conventional methods. The methodology used includes rainfall data collection, data preprocessing, Attention-Based LSTM model design, training models, and testing to assess accuracy. The results of the study indicate that the Attention-Based LSTM model is able to improve rainfall prediction compared to conventional methods, with the Root Mean Squared Error (RMSE) evaluation metrics with a value of 0.00807 and Mean Squared Error (MSE) with a value of 0.08987 which shows better results, so this model can be relied on for real-world applications.
Optimization of Hydraulic Pump Unit Control Communication with Seven Tools Method to Reduce Raw Mill Downtime In PT. Semen Gresik Fauzan, Zulfahmi; Indriastiningsih, Erna; Primasanti, Yunita; Nugrahadi, Bekti
International Journal of Computer and Information System (IJCIS) Vol 6, No 1 (2025): IJCIS : Vol 6 - Issue 1 - 2025
Publisher : Institut Teknologi Bisnis AAS Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29040/ijcis.v6i1.222

Abstract

The Indonesian cement industry faces challenges in improving operational efficiency amid increasing competition. One critical factor in cement production is the operational stability of the Raw Mill, which depends on the performance of the Hydraulic Pump Unit. This study aims to optimize control communication in the Hydraulic Pump Unit to reduce downtime in the Raw Mill area of PT. Semen Gresik. Using the Seven Tools method, the study identified communication disruptions as the primary cause of downtime. Key issues include unreliable remote I/O PLCs, high operating temperatures, excessive loops, poor grounding, and procedural errors. To address these problems, the study proposes replacing remote I/O PLCs, adding Junction Boxes, relocating PLCs to a control panel room, redesigning the network topology, switching from Ethernet to Profibus, improving grounding, conducting training, and updating maintenance standards. The implementation of these solutions successfully reduced Raw Mill downtime, improved production efficiency, and enhanced control system reliability by creating new operational standards. These findings highlight the importance of effective control communication in maintaining stable and efficient cement production operations.
Analysis of Overload Shedding (OLS) - Adaptive Defense Scheme (ADS) on The 150 KV Priok Subsystem to Enhance The Reliability of Jakarta's Electricity Supply In N-1 N-2 Contingency Scenarios Randy, Mochammad Ali; Dalimi, Rinaldy
International Journal of Computer and Information System (IJCIS) Vol 6, No 1 (2025): IJCIS : Vol 6 - Issue 1 - 2025
Publisher : Institut Teknologi Bisnis AAS Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29040/ijcis.v6i1.223

Abstract

This study analyses the implementation of Overload Shedding (OLS) and Adaptive Defense Scheme (ADS) in the 150 kV Priok subsystem to enhance Jakarta’s electricity supply reliability under N-1/N-2 contingency scenarios. Using DigSILENT PowerFactory, the research evaluates system stability by modelling dynamic load responses, power flows, and contingency simulations. The objective is to optimize OLS-ADS parameters to mitigate cascading failures and ensure equipment safety during critical faults. The methodology involves detailed modelling of the Priok subsystem, including generators, transformers, and protective relays, validated via power flow analysis using the Newton-Raphson method. N-1/N-2 contingencies—such as tripping of IBT2/Bekasi, IBT1/Cawang, and dual IBT failures—are simulated to assess OLS-ADS performance. Dynamic load shedding logic adapts to real-time system conditions, prioritizing critical loads and generators. Results show that OLS-ADS successfully prevents equipment overloading in N-1 scenarios (e.g., IBT2/Bekasi tripping) by shedding 6–20% of the load, maintaining voltages (0.9–1.0 pu) and frequencies (49.9–50 Hz) within safe limits. Rotor angles in Priok’s PLTGU units remain below IEEE’s ±90° threshold. However, N-2 contingencies (e.g., simultaneous loss of IBT2/4/Bekasi) require shedding 50% of the load to avert cascading failures, highlighting systemic vulnerabilities. The study concludes that OLS-ADS significantly improves N-1 resilience but underscores the need for enhanced redundancy (e.g., integrating Muara Tawar’s 500/150 kV IBTs) to mitigate N-2 risks. Findings provide actionable guidelines for optimizing ADS logic and expanding grid infrastructure to ensure reliable power supply in DKI Jakarta
Analysis of Behavior-Based Safety Criteria with the Rate of Work Accidents at Power Plants Units 3, 7 and 8 East Java Yunanto, Bekti; Indriastiningsih, Erna; Trisna Devi, Anita Oktaviana; Nugrahadi, Bekti
International Journal of Computer and Information System (IJCIS) Vol 6, No 2 (2025): IJCIS : Vol 6 - Issue 2 - 2025
Publisher : Institut Teknologi Bisnis AAS Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29040/ijcis.v6i2.227

Abstract

Occupational safety and health are important factors in the steam power generation industry which has a high risk of work accidents. The implementation of behavior-based safety at coal-fired power plants is useful for reducing the incidence of accidents through intervention on worker behavior. This study aims to analyze the relationship between behavior-based safety criteria and the rate of work accidents at PLTU Units 3, 7, and 8 in East Java. This study uses a quantitative approach with a cross-sectional design. Primary data was collected through questionnaires distributed to 178 workers, while secondary data was obtained from company safety reports. The results of the study show that there is a significant relationship between behavior-based safety and the rate of work accidents through the definition factors of safe/unsafe behavior, training, basic performance, reinforcement, feedback, goal setting, and reviews in PLTU Units 3, 7, and 8 workers in East Java. This variable contributes to increasing workers' awareness of safety and reducing the number of work accidents. Meanwhile,  the ownership variables) and observation did not have a significant relationship with work accidents, indicating the need for increased active worker participation and the effectiveness of follow-up from safety observations. The conclusion of this study is that behavior-based safety is an effective approach in reducing work accidents at coal-fired power plants, with factors such as safe/unsafe behavior, training, basic performance, reinforcement, feedback, goal setting, and review plays an important role in improving occupational safety. Companies need to strengthen training programs and monitoring worker behavior to achieve the zero accident target.
Energy Audit and Assessment of Energy Saving Opportunities Using Analytical Hierarchy Process in Public Health Center Buildings in Jakarta to Optimize Energy Efficiency Monika, Ratih; Garniwa, Iwa
International Journal of Computer and Information System (IJCIS) Vol 6, No 2 (2025): IJCIS : Vol 6 - Issue 2 - 2025
Publisher : Institut Teknologi Bisnis AAS Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29040/ijcis.v6i2.236

Abstract

The Government of Indonesia has issued a regulation through Government Regulation No. 33 of 2023, mandating central and regional governments to implement energy conversion efforts. Conducting energy audits in public health center buildings in Jakarta has become an essential step toward realizing concrete energy conservation actions. This study was conducted at the XYZ District Public Health Center with the objectives of assessing energy consumption patterns, identifying potential energy-saving opportunities, and determining the prioritized recommendations to optimize energy efficiency. The audit findings indicate that the building still holds an energy-saving potential of 54.66%, with an estimated annual saving of 146,204.95 kWh or approximately IDR 139,625,731. If energy-saving strategies are applied on a broader scale, Jakarta's potential energy savings could reach 0.43%, or about 6,433,017.8 kWh/year, equivalent to IDR 1,030,598,693/year. At the national level, potential energy savings could reach 19.5%, amounting to 1,030,598,692.55 kWh/year or IDR 984,221,777,819/year. To assist public health center management in determining the prioritization of energy-saving opportunities, this study employed the Analytical Hierarchy Process (AHP) method using 4 criteria and 8 alternatives based on the energy audit recommendations. Expert assessments involving representatives from the health center, government, and practitioners determined that the priority order for the criteria level: ease of implementation, implementation cost, impact on service, and energy-saving potential. Meanwhile, the prioritized alternatives level: AC temperature setting, socket management, reduction in AC infiltration load, lighting operation management, AC operation management, AC maintenance, application of motion sensor technology, and replacement of energy efficient air conditioning technology.

Page 15 of 19 | Total Record : 188

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