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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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Rancang Bangun Website Prodi Informatika Universitas Karya Husada Semarang Menggunakan Perangkat Lunak Komunitas Hargokendar Suhud; Mustagfirin Mustagfirin
Jurnal Informatika dan Rekayasa Perangkat Lunak Vol. 7 No. 1 (2025): Maret
Publisher : Universitas Wahid Hasyim

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Abstract

Information systems are needed for various needs. One of them as part of the publication. With the existence of an information system, it is hoped that stakeholders, the general public, students and the academic community can receive up-to-date information. Apart from that, it can also make the agency's attractiveness, in this case the Informatics Study Program, Karya Husada University Semarang Bachelor Program, better. By using HTML (Hyper Text Mark Language) and utilizing Visual Studio 2022 Community (VS 2022) as an HTML compiler, website information systems can be created optimally, both from the content and appearance of the website. VS 2022 can see live or live view mode to see website designs without having to open a browser. The design of this information system uses the SLDC (System Development Life Cycle) method with a waterfall approach, namely system planning, system analysis, system design, system implementation and system maintenance. Using DFD (data flow diagrams) to process information that will be uploaded to the website database. DFD level 0 and DFD level 1 are used in this study.
Penerapan Metode Agile Development Dalam Rancangan E-Klinik Pada Kopkar Kompak III Jambi Hafiz Nugraha; Noneng Marthiawati; Kevin Kurniawansyah
Jurnal Informatika dan Rekayasa Perangkat Lunak Vol. 7 No. 1 (2025): Maret
Publisher : Universitas Wahid Hasyim

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Abstract

The rapid advancement of technology has led to the extensive use of computers, not only in workplaces but also in healthcare services. One example is the Kopkar Kompak III Clinic in Jambi City, which faces data management challenges due to conventional methods still being used. Patient records, polyclinic data, medical records, and pharmacy information are documented on paper sheets, making it difficult to enhance service quality. To improve services, this study proposes the development of an accurate and reliable information system to reduce errors and increase operational efficiency. The system is designed using draw.io and employs object-oriented modeling techniques (UML), including use case diagrams, class diagrams, and activity diagrams. The Agile Development method is adopted to ensure flexibility in adapting to changing requirements. The proposed E-Clinic System features modules for patient registration, medical record management, pharmacy inventory, and billing systems. These modules are designed to streamline workflows, minimize paperwork, and enhance data security. By implementing this system, the Kopkar Kompak III Clinic in Jambi City is expected to achieve improved service quality, operational efficiency, and better patient care outcomes.
Integrasi Sistem Question Answering (QA) sebagai Model Berbasis Layanan Web Menggunakan Django Rest Framework Nurjayanti Nurjayanti; Utami Kusuma Dewi
Jurnal Informatika dan Rekayasa Perangkat Lunak Vol. 7 No. 1 (2025): Maret
Publisher : Universitas Wahid Hasyim

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Abstract

This study aims to develop an Islamic Question Answering (QA) system based on RESTful Web Services. The QA system is designed to provide accurate and relevant answers to questions within the domain of Islamic studies using textual resources such as the Qur'an, Hadith, and other religious literature as its knowledge base. The design phase involves the development of a database schema and REST API endpoints, while the implementation phase employs Django and the Django REST Framework (DRF) to integrate the QA model with the REST API. System testing was conducted using the Postman application to ensure that all endpoints functioned as expected. The results of the study indicate that the Islamic QA system is not only flexible and easy to implement but also capable of integration with various other platforms.
Implementasi Certainty Factors pada Sistem Diagnosa Penyakit Ternak Ayam Berbasis Web Aldisa Dwi Agustina; Febrian Wahyu Christanto
Jurnal Informatika dan Rekayasa Perangkat Lunak Vol. 7 No. 1 (2025): Maret
Publisher : Universitas Wahid Hasyim

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Abstract

Chicken becomes one of animals that is mostly cultivated by livestock companies and by people in society. The maintenance and care of chickens must be suitable and proper in order to produce good quality of chickens and avoid disease. Chicken disease is one of the factors of loss for breeders, especially contagious disease, if not handled properly, can infect the other chickens. Therefore, the loss experienced by the breeders will be greater. However, due to the lack of doctors in the Regency of Batang, breeders do not take the sick chickens to the vet. To handle that matter, an expert system was created to diagnose disease in chickens with the Certainty Factors method. This expert system was developed with PHP and MySQL and also by using the development system ESDLC (Expert System Development Life Cycle). This expert system will present the possibility of disease that is suffered by chickens with the symptoms input by users as well as the ways of treatment and prevention. With this expert system, it is hoped that it can help breeders to diagnose a disease in chickens. From the implementation of the system in this study, 55% of users strongly agreed that the Certainty Factor expert system on Web-Based Disease Diagnosis in Chicken Livestock could assist users in diagnosing a disease in chicken.
Hate Speech Detection Using Expansion Feature Glove with CNN and Bi-LSTM on Twitter Muchammad Alfi Karom; Erwin Budi Setiawan
Jurnal Informatika dan Rekayasa Perangkat Lunak Vol. 7 No. 1 (2025): Maret
Publisher : Universitas Wahid Hasyim

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Abstract

Twitter is one of the biggest social media digital platforms in Indonesia. It serves a medium for readers worldwide and also can be used a means of disseminating information for everyone. However, some people in social media misuse it to spread hate speech against some certain group or communities. Because hate speech it happens everywhere, we need a system to detect hate speech. Sometimes to detect hate speech in Twitter in can be very difficult because lack of context. Needing feature for this problem can make detect hate speech become more easier. Glove is a feature expansion method combine with feature extraction using N-gram and Term Frequency Inverse Document Frequency(TF-IDF) as a method. Data from that it will processed using a hybrid deep learning that combines Convolutional Neural Networks(CNN) dan Bidirectional Long Short-Term Memory(Bi-LSTM). In this study, author obtained 69,484 data related to hate speech. From this study combine feature extraction and feature expansion method has an impact on this research. Best accuracy with all of method is CNN+Bi-LSTM Hybrid method with 91,69% accuracy on top10. Meanwhile best method for Bi-LSTM+CNN method is 91,33% accuracy on top20.
Development of LukaDia Wound Care: A Frontend Application for Efficient Diabetic Wound Monitoring Case Study at Klinik Pratama Muhammadiyah Kajen Alfa Yuliana Dewi; Nuniek Nizmah Fajriyah; Nurul Huda; Burhanudin Mi'roj; Reza Edi Saputra
Jurnal Informatika dan Rekayasa Perangkat Lunak Vol. 7 No. 1 (2025): Maret
Publisher : Universitas Wahid Hasyim

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Abstract

Diabetic wounds are serious complications often experienced by people with diabetes. Regular wound monitoring is crucial to prevent further complications. This study aims to design and develop an artificial intelligence-based healthcare information system called LukaDia Wound Care for monitoring diabetic wounds in diabetes care facilities. The research method used a waterfall software development approach. Development stages include needs analysis, system design, implementation, and testing. The results showed that LukaDia Wound Care was successfully developed with features that support the diabetic wound monitoring process, such as uploading wound images, measuring wound parameters, and generating wound progress reports. System testing at Klinik Pratama Muhammadiyah Kajen showed that the system is easy to use and beneficial for healthcare professionals in monitoring patients' diabetic wounds. The conclusion of this study indicates that LukaDia Wound Care has the potential to improve the quality of healthcare for people with diabetes
Optimalisasi Pengendalian Aktiva Tetap untuk Meningkatkan Efektivitas Manajemen Aset Menggunakan Metode Straight Line dan Fuzzy ELECTRE Sunyanti sunyanti; Nasarudin Nasarudin; Salim Salim; Sarimuddin Sarimuddin; Yanti Yanti; Komeyni Rusba
Jurnal Informatika dan Rekayasa Perangkat Lunak Vol. 7 No. 1 (2025): Maret
Publisher : Universitas Wahid Hasyim

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Abstract

This study aims to optimize fixed asset control to improve the effectiveness of asset management using the Straight Line and Fuzzy ELECTRE methods. The Straight Line method is applied to calculate fixed asset depreciation constantly and in real time, making it very easy to predict and budget depreciation costs. Meanwhile, the Fuzzy ELECTRE method is used to evaluate several asset management alternatives based on criteria such as asset age, residual value, and level of asset damage. Through this analysis, the ranking of alternatives is determined by comparing the concordance and discordance values between alternatives. The results of the study indicate that the combination of these two methods is effective in improving fixed asset management. The Straight Line method provides stability in depreciation calculations, while Fuzzy ELECTRE helps in more comprehensive and optimal decision making. In conclusion, the application of these two methods can improve the effectiveness of asset management in the UPT USN Kolaka Campus B section, making it very possible to make better decisions in terms of maintenance and replacement of fixed assets, thus contributing to long-term efficiency.
Perbandingan Analisis Usability Aplikasi OVO dan DANA di Program Studi Teknik Informatika Universitas Islam Balitar Suji Marselius Evvandri; Saiful Nur Budiman; Filda Febrinita
Jurnal Informatika dan Rekayasa Perangkat Lunak Vol. 7 No. 1 (2025): Maret
Publisher : Universitas Wahid Hasyim

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Abstract

The purpose of this study is to examine the variations in the usage of digital wallet applications OVO and DANA among students of the Computer Engineering Program at Universitas Islam Balitar (UNISBA) Blitar based on usability components according to Nielsen’s Model. The analysis was conducted using the Mann-Whitney U test through SPSS version 27. The five main usability components analyzed include Learnability, Memorability, Efficiency, Error, and Satisfaction. The results indicate that for the Learnability component, OVO has a higher mean rank (46.17) compared to DANA (38.07), although the difference is not statistically significant. For the Memorability component, OVO achieved a mean rank of 53.92, while DANA scored 34.75. In terms of Efficiency, OVO obtained a mean rank of 52.46, whereas DANA scored 35.38. Regarding the Error component, OVO reached a mean rank of 60.44, and DANA scored 31.96. For Satisfaction, OVO recorded a mean rank of 58.40, while DANA scored 32.83. These values indicate that OVO has a higher average ranking and significant statistical differences in several usability components, specifically in Memorability, Efficiency, Error, and Satisfaction. This study concludes that OVO shows significant advantages in several aspects of usability, providing important insights into digital wallet user preferences and serving as a guide for the development of similar applications in the future.
Aplikasi Bekali-Kendali Upaya Pencegahan dan Penanganan Stunting menggunakan Metode User Center Design (Studi Kasus Di Puskesmas Sesayap Hilir Kab. Tana Tidung Kalimantan Utara) Awang Pradana; Arif Fadllullah; Dedy Harto; Nicho Andre Wardana
Jurnal Informatika dan Rekayasa Perangkat Lunak Vol. 7 No. 1 (2025): Maret
Publisher : Universitas Wahid Hasyim

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Abstract

Stunting is a condition of growth failure in children caused by poor nutrition during early growth. This condition can result in long-term negative impacts, including susceptibility to disease and developmental disorders. Factors that cause stunting include lack of food intake, poor diet, infections and poor sanitation. Prevention can be done by providing adequate nutrition from an early age, maintaining hygiene and sanitation, and education about nutrition and child health. Prevention can be done by providing sufficient nutrition from an early age, maintaining hygiene and sanitation, and education about nutrition and child health. The prevention and treatment of stunting must be carried out comprehensively by various parties, including families, the public, medical workers, and the government. Based on this information, this study designed a web-based application called Bekali-Kendali, focusing on Puskesmas Sesayap Hilir in Tana Tidung Regency. Bekali-Kendali is a media or platform for collecting population data in the sesayap hilir puskesmas of Tana tidung district, the data results are then processed using the user-centered design (UCD) method focusing on user needs and preferences. After the data is processed, it will provide useful analysis for the stunting impact data. This application is accompanied by several features such as anthropometric data collection, children's nutritional status, nutritional intakes, and children's medical history. In addition, the app can also provide information and advice on proper nutrition, healthy eating plans, as well as treatment and care required for stunted children.
Klasifikasi Kanker Paru pada Citra CT Scan menggunakan Extreme Learning Machine dan Histogram Equalization Omar Pahlevi; Yopi Handrianto; Dewi Ayu Nur Wulandari; Henny Leidiyana; Luci Kanti Rahayu
Jurnal Informatika dan Rekayasa Perangkat Lunak Vol. 7 No. 1 (2025): Maret
Publisher : Universitas Wahid Hasyim

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Abstract

Lung cancer is one of the deadliest types of cancer worldwide, making early detection crucial to improving patient survival rates. One of the primary methods for detecting lung cancer is through Computed Tomography (CT) scan images. However, automated analysis of these images faces challenges due to image quality being affected by noise and low contrast. This study aims to develop a lung cancer classification model from CT scan images using the Extreme Learning Machine (ELM) algorithm and Gray Level Co-occurrence Matrix (GLCM) feature extraction, supported by Histogram Equalization techniques to enhance image quality. Histogram Equalization is employed to improve image contrast, facilitating the extraction of texture features from GLCM, such as contrast, homogeneity, energy, and entropy. ELM was chosen for its speed and accuracy in handling complex medical image classification tasks. The study results demonstrate that the proposed model successfully enhances classification performance with an accuracy of 91.06%. The combination of ELM and Histogram Equalization techniques produces an efficient and accurate classification system for detecting lung cancer from CT scan images.

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