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INDONESIA
Jurnal Informatika dan Rekayasa Perangkat Lunak
Published by Universitas Wahid Hasyim Semarang
ISSN : 26562855     EISSN : 26855518     DOI : http://dx.doi.org/10.36499/jinrpl
Core Subject : Science,
Computer Science & IT
Journal of Informatics and Software Engineering accepts scientific articles in the focus of Informatics. The scope can be: Software Engineering, Information Systems, Artificial Intelligence, Computer Based Learning, Computer Networking and Data Communication, and Multimedia.
Arjuna Subject : Ilmu Komputer (semua kategori) - Perangkat Lunak
Articles 271 Documents
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Comparative Approaches to Clustering for Profiling Students in Educational Data Mining Noor Azizah; Kusworo Adi; Catur Edi Widodo
Jurnal Informatika dan Rekayasa Perangkat Lunak Vol. 8 No. 1 (2026): Maret
Publisher : Universitas Wahid Hasyim

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Abstract

This study aims to compare the performance of five clustering algorithms, a K-Means, K-Medoids, Fuzzy C-Means (FCM), DBSCAN, and Gaussian Mixture Model (GMM) in profiling 239 students using quantitative data. The methodology includes data collection, refinement, transformation, application of clustering algorithms, and evaluation using the Silhouette Score, Davies–Bouldin Index, and execution time. The results indicate that K-Means provides the most balanced performance, achieving the highest Silhouette score with well-defined cluster separation. K-Medoids and GMM demonstrate competitive performance, while DBSCAN excels in detecting outliers but produces an excessive number of clusters, limiting its interpretability for profiling. FCM performs the weakest due to poor cluster separability. Overall, K-Means is recommended as the primary approach for student profiling, while other algorithms may complement specific analytical needs.
Media Pembelajaran Shalat Menggunakan Augmented Reality (Studi Kasus SD Negeri 1 Bumijawa) Aji Maemun Syukron; Rony Wijanarko
Jurnal Informatika dan Rekayasa Perangkat Lunak Vol. 7 No. 2 (2025): September
Publisher : Universitas Wahid Hasyim

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Abstract

Prayer is the main act of worship in Islam after the shahada. The procedures for carrying out this act of worship must be orderly and in accordance with the procedures that have been determined. Most learning currently still uses books so it is less effective and informative. Learning can run effectively if all influential components support each other to achieve learning goals. To facilitate learning activities, especially in Prayer Learning, teachers should prepare teaching materials to help make it easier for students to understand the learning material. Therefore, appropriate learning media is needed, one of which is Augmented Reality-based media. The application was created using Unity and Blender and used the Black box testing method by testing the application, lighting and paper type. This application is intended to make students more interested in teaching and learning activities and makes it easier for students to learn so that maximum results are achieved.
Design of a Client-Side Based WebGIS System for Health Service Distribution Analysis (Case Study of Sukabumi Regency) Didik Indrayana; Prajoko Prajoko
Jurnal Informatika dan Rekayasa Perangkat Lunak Vol. 8 No. 1 (2026): Maret
Publisher : Universitas Wahid Hasyim

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Abstract

Equitable healthcare services require the support of information systems capable of presenting data spatially and being easily accessible to decision-makers. However, most of the geographic information systems currently in use still rely on server-based architecture and centralized databases, which demand technical resources and infrastructure that are not always available at the regional level. This research aims to design a client-side WebGIS system to analyze the distribution of healthcare services in Sukabumi Regency. The system was developed using HTML, CSS, and JavaScript technologies with the use of LeafletJS and OpenStreetMap as the base map, as well as GeoJSON and Google Sheets as sources of dynamic spatial and non-spatial data. The client-side processing approach allows the entire process of visualization and spatial analysis to be carried out on the client side without reliance on the database server. The implementation results show that the system is capable of presenting interactive maps, facility distribution analysis, and identifying areas with unmet healthcare service needs. The novelty of this research lies in the implementation of a lightweight, flexible, and easily replicable client-side WebGIS architecture, making it suitable for institutions with limited technical resources in the development of spatial information systems.
Longitudinal Evaluation of the InaRISK Disaster Information System using the Public Satisfaction Index Findi Ayu Sariasih
Jurnal Informatika dan Rekayasa Perangkat Lunak Vol. 8 No. 1 (2026): Maret
Publisher : Universitas Wahid Hasyim

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Abstract

This study aims to evaluate public satisfaction with the InaRISK application as a national disaster risk information system developed by the National Disaster Management Agency (BNPB). The research is a continuation of a previous study using the same measurement instrument, enabling a longitudinal comparison of service quality. The study applies the Public Satisfaction Index (Indeks Kepuasan Masyarakat/IKM) method based on the Regulation of the Ministry of Administrative and Bureaucratic Reform Number 14 of 2017, which measures nine service elements. Data were collected through an online questionnaire distributed via Google Forms to 2,448 respondents who participated in the InaRISK application socialization webinar in 2025. The results show that the Public Satisfaction Index in 2025 reached 84.54, categorized as “Good”, which indicates an improvement compared to the previous study that obtained a score of 83.46. Among the evaluated service elements, service procedures obtained the highest score and was categorized as “Very Good”, while response speed remained in the “Less Good” category. These findings indicate that the overall quality of InaRISK digital services has improved, although improvements in service responsiveness are still necessary to enhance user satisfaction more evenly. This study contributes to the evaluation of digital public services in disaster management systems through a longitudinal measurement approach.
Analysis of False Positives in an OWASP-Based Web Application Firewall and their Impact on the Performance and Availability of Open Journal Systems (OJS) Riki Agus Prastyo; Awang Andhyka; Achmad Mufliq
Jurnal Informatika dan Rekayasa Perangkat Lunak Vol. 8 No. 1 (2026): Maret
Publisher : Universitas Wahid Hasyim

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Abstract

The implementation of a Web Application Firewall (WAF) based on the OWASP Core Rule Set (CRS) aims to enhance web application security; however, improper configuration may lead to false positives that adversely affect system performance and service availability. This study analyzes the impact of WAF false positives on Open Journal Systems (OJS) services deployed in a cloud environment using a server log analysis approach. The data were collected from web server error logs and ModSecurity audit logs that recorded the blocking of legitimate requests during the manuscript submission process due to inbound anomaly scores exceeding predefined security thresholds. The results indicate that WAF false positives caused service failures characterized by HTTP 403 responses, increased submission errors, and a measurable reduction in OJS service availability during the observation period. These findings demonstrate that anomaly-based detection mechanisms in OWASP CRS may misclassify normal application behavior as malicious activity. This study provides empirical evidence based on server logs regarding the impact of WAF false positives on cloud service reliability and offers insights for WAF policy tuning to achieve a balance between security and service availability.
Rancang Bangun Sistem Pelayanan Pengaduan Gangguan Listrik Berbasis WEB di PT.PLN (PERSERO) UPJ JATIBARANG Ayu Fitriyaningrum; Arief Hidayat; Ardian Fachreza
Jurnal Informatika dan Rekayasa Perangkat Lunak Vol. 7 No. 1 (2025): Maret
Publisher : Universitas Wahid Hasyim

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Abstract

In a company, data and information are important things to do a job. The State Electricity Company (PLN) is a company operating in the field of electrical energy services. In its business processes, PLN also often receives disturbances or complaints from customers. The system development method used in this research is Waterfall, system design using system implementation using PHP and MySQL. The result of this research is an electrical disturbance service system that can make it easier for customers to carry out complaints and make it easier for officers to record incoming customer complaints so that officers can easily carry out their work according to the incoming data and no customers are missed, which makes customers disappointed.
Prediksi Remaining Useful Life Mesin Turbofan Menggunakan Metode Deep Layer Recurrent Neural Networks Kevin Maulana Risky; Fitri Insani; Jasril Jasril; Suwanto Sanjaya; Lestari Handayani
Jurnal Informatika dan Rekayasa Perangkat Lunak Vol. 7 No. 1 (2025): Maret
Publisher : Universitas Wahid Hasyim

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Abstract

In recent years, the development of prognostic and health management in engines and systems has grown rapidly, with one form of interaction being predicting the remaining useful life of aircraft turbofan engines. In this study, chose to use the Deep Learning RNN method with LSTM architecture.  And in its limitation, the C-MAPSS FD001 dataset is used as a modeling dataset in which there is complex multivariate data. The main objective in this analysis and modeling process is to obtain the remaining useful life prediction results that can be a benchmark in analyzing the Remaining Useful Life (RUL) of the turbofan engine. The test results involved many criteria and parameters that were tested. Analysis of the results shows that the model with learning rate criteria of 0.001, number of epochs of 50, hidden unit of 12, Min-max normalization method, and Adam optimizer tested can understand quite accurately the RUL data pattern and follow the movement of the predetermined RUL target. Although there is a decrease and a slight spike in the unit level of machines 81 to 84, with an error value in RMSE of 26.48, but overall the model can be considered optimal in learning the prediction pattern of the RUL target. This research shows that the RNN-LSTM model has great potential in aircraft turbofan engine prognostic applications.
Penentuan Metode Augmentasi pada CNN Berdasarkan Metode Optimasi Fox untuk Klasifikasi Citra Ikan Firman Wahyudi; Siti Hadiati Nugraini; Arief Soeleman; Ricardus Anggi Pramunendar; Pulung Nurtantio Andono
Jurnal Informatika dan Rekayasa Perangkat Lunak Vol. 7 No. 2 (2025): September
Publisher : Universitas Wahid Hasyim

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Abstract

Automatic identification of fish species plays an important role in various fields such as conservation biology, fisheries management, and biological research. The Convolutional Neural Network (CNN) method has become an effective solution for automating this process using digital images. However, achieving high accuracy requires careful consideration of factors such as the quantity and quality of data, image preprocessing methods, feature extraction techniques, classification algorithms, and optimization strategies. This study addresses these challenges by proposing a CNN model optimized using the FOX optimization algorithm to select the most suitable augmentation methods. The results show that selecting appropriate augmentation techniques, such as K-means Color Quantization, Horizontal Flip, Voronoi, Elastic Transformation, and Contrast Normalization, can significantly improve the accuracy of fish species recognition, reaching up to 98.75 percent during the training phase. The proposed model also demonstrates strong generalization capabilities with a validation accuracy of 96.90 percent, indicating minimal overfitting. Although the training process is computationally intensive, this approach has proven to be highly effective for applications that require high accuracy and strong generalization capabilities, thus contributing to a better understanding and management of marine ecosystems in support of sustainable fisheries practices..
Perancangan Sistem Informasi berbasis Website Untuk Sosial commerce Rungkad (Ruang Karya Digital) Siti Marlina; Waeisul Bismi; Alviandi Agustin; Muhammad Kiki Bagus Virmansa; Sulaiman Faqih
Jurnal Informatika dan Rekayasa Perangkat Lunak Vol. 7 No. 1 (2025): Maret
Publisher : Universitas Wahid Hasyim

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Abstract

n the era of globalization and digitalization, information technology has become a vital component in various aspects of life, including the trade sector. Social commerce, which integrates social media into online buying and selling, has become an important innovation that builds interactions between sellers and buyers, providing significant opportunities for SMEs to enhance their competitiveness and expand their market reach. SMEs, which play a strategic role in Indonesia's economy, often face challenges such as limited market access, resources, and technological knowledge. Information technology through social commerce platforms can be a solution to these challenges. This research designs a web-based information system for social commerce Rungkad (Ruang Karya Digital) to meet the specific needs of SMEs and consumers. A comprehensive approach through the stages of the System Development Life Cycle (SDLC), which includes planning, needs analysis, design, development, testing, and implementation, ensures that the system meets functional requirements with optimal performance, high security, and good scalability. The use of modern web technologies and user-centric design principles is key to success.The research results include the design of ERD, use case diagrams, and activity diagrams that document the system's workflow. The system implementation shows that users can easily access website features such as login, registration, profile management, and transactions. Testing ensures that all features function well without disruptive bugs
Leveraging SAMME for Improved Multi-Class Cirrhosis Diagnosis in Clinical Settings Arum Kurnia Sulistyawati; Dyan Avando Meliala; Ajie Wibowo Soejono; Dini Sari; Marselina Endah Hiswati; Mohammad Diqi
Jurnal Informatika dan Rekayasa Perangkat Lunak Vol. 7 No. 1 (2025): Maret
Publisher : Universitas Wahid Hasyim

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Abstract

This study explores the use of the SAMME algorithm to develop a predictive model for identifying various stages of cirrhosis. The dataset includes 418 records with 20 attributes, targeting the classification of cirrhosis stages: C (censored), CL (censored due to liver transplantation), and D (death). The model achieved an overall accuracy of 94%, demonstrating high precision and recall for classes C and D. However, the precision for class CL was lower, indicating a tendency to over-predict this stage. These results validate the SAMME algorithm's potential to enhance diagnostic accuracy while highlighting the need for further refinement to address class imbalance and feature overlap. This research underscores the value of machine learning in early diagnosis and personalized treatment, suggesting future work on larger, balanced datasets and advanced feature engineering to improve model robustness and reliability in clinical applications.

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