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Journal of Computer Science and Informatics Engineering (J-Cosine)
Published by Universitas Mataram
ISSN : 25408895     EISSN : 25410806     DOI : -
Core Subject : Science,
Computer Science & IT
Journal of Computer Science and Informatics Engineering (J-Cosine) is a journal that is published by Informatics Engineering Dept., Faculty of Engineering, University of Mataram (Program Studi Teknik Informatika, Fakultas Teknik Universitas Mataram) under online and print ISSN: 2541-0806 and 2540-8895, respectively J-Cosine is also blind and peer-reviewed journal, which the reviewer processes are carried out by at least 2 reviewers who are decided by associate editor. The J-Cosine is published bi-annually.
Arjuna Subject : -
Articles 168 Documents
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English Language Febriyanto; Regania Pasca Rassy; Halil Akhyar; Muhammad Iqbal Raissilki
Journal of Computer Science and Informatics Engineering (J-Cosine) Vol 9 No 2 (2025): December 2025
Publisher : Informatics Engineering Dept., Faculty of Engineering, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jcosine.v9i2.653

Abstract

The rapid development of immersive technology, particularly Augmented Reality (AR), has significantly supported the digitization of infrastructure in the Fourth Industrial Revolution. In the property industry, conventional visualization media such as two-dimensional (2D) floor plans are often difficult for non-technical users to interpret. This study develops an Android-based application, AR Site Visualization, that converts 2D floor plans into interactive three-dimensional (3D) models in real time. The development applied the Multimedia Development Life Cycle (MDLC) framework with six stages, employing Unity, Vuforia SDK, and Lean Touch for feature integration. The 3D models were created using SketchUp and Enscape to ensure realistic visualization. Evaluation through Black Box Testing and formative assessments demonstrated that all features, including marker scanning, 3D visualization, rotation, zoom, and translation, worked effectively, achieving a feasibility score of 71.5%. The results indicate that AR Site Visualization enhances spatial understanding and improves design communication users.
Implementation of Profile Matching Method in Student Major Information System at SMAN 4 Mataram Nazmi Wardiani; Santi Ika Murpratiwi; Herliana Rosika; Royana Afwani; Sri Endang Anjarwani; Dwi Ratnasari
Journal of Computer Science and Informatics Engineering (J-Cosine) Vol 9 No 2 (2025): December 2025
Publisher : Informatics Engineering Dept., Faculty of Engineering, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jcosine.v9i2.654

Abstract

Education is a crucial component in a country's development, and the quality of education is a key factor in determining national progress. In Indonesia, the Ministry of Education, Culture, Research, and Technology has implemented the Merdeka Curriculum, which provides students with greater flexibility to choose subjects based on their interests and talents. At SMAN 4 Mataram, the subject selection process starting in the second semester of grade 10 still faces challenges, such as students' difficulty in determining suitable majors and the lack of an integrated data management system. This study developed a decision support system based on the Profile Matching method to provide objective major recommendations by aligning students’ competencies with the criteria of each major. The system was developed using the Waterfall model to ensure a structured design process. Testing was carried out with White Box Testing to validate algorithm calculations, Black Box Testing to check system functionality, and User Acceptance Testing to assess user satisfaction. The results showed a very positive response from administrators (MOS 4.95 out of 5.00) and a positive response from students (MOS 4.00 out of 5.00). This research contributes a practical and flexible decision support solution specifically adapted to high schools implementing the Merdeka Curriculum. With this system, the major selection process is expected to become more efficient, integrated, and capable of providing recommendations that better align with students’ interests, talents, and academic potential. Key words: Education, Decision Support System (DSS), Majoring, Profile Matching, Waterfall.
Multitask Aspect-Based Sentiment Analysis of Indonesian Tweets on Mandalika Circuit using CNN and IndoBERTweet Embeddings Salsabila, Raissa Calista; Dwiyansaputra, Ramaditia; I Gede Pasek Suta Wijaya
Journal of Computer Science and Informatics Engineering (J-Cosine) Vol 9 No 2 (2025): December 2025
Publisher : Informatics Engineering Dept., Faculty of Engineering, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jcosine.v9i2.658

Abstract

This study proposes a multitask Aspect-Based Sentiment Analysis (ABSA) model for Indonesian tweets related to the Mandalika Circuit, using IndoBERTweet embeddings and Convolutional Neural Networks (CNN). The model simultaneously predicts aspect categories and sentiment polarities. Two experimental setups were evaluated: one using raw tweets (Scenario 1) and another with preprocessed text (Scenario 2). The results show that Scenario 1 consistently outperforms Scenario 2, highlighting the ability of IndoBERTweet to handle informal tweet structures without requiring standard text cleaning. A paired t-test was conducted to evaluate statistical differences in performance between scenarios. While Scenario 1 showed higher average F1-scores, the p-value (0.7178) suggests no statistically significant improvement across all classes. Further analysis reveals that certain classes, primarily neutral and positive sentiments, tend to perform worse than negative sentiments. Data augmentation was shown to improve recall and help the model handle underrepresented classes, particularly for “Ekonomi-Negative” and “Fasilitas-Negative” labels. The study highlights the importance of preserving informal language structures and utilizing data augmentation to enhance ABSA performance on real-world tweet data.
Klasifikasi Penyakit Tenggorokan Menggunakan CNN: EfficientNetB0 dan ResNet50 Aliyah Fajriyani; I Gede Pasek Suta Wijaya; Fitri Bimantoro
Journal of Computer Science and Informatics Engineering (J-Cosine) Vol 9 No 2 (2025): December 2025
Publisher : Informatics Engineering Dept., Faculty of Engineering, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jcosine.v9i2.661

Abstract

Throat diseases are one of the global health issues. Early diagnosis could be an effective solution to prevent more severe throat disease. Automatic diagnosis based on medical images is possible to obtain by using Convolutional Neural Networks (CNN). This study employs two pretrained models namely ResNet50 and EfficientNetB0. The dataset contained 79 throat images divided to seven classes (normal, chronic laryngitis, acute pharyngitis, chronic pharyngitis, acute tonsillitis, chronic tonsillitis, and acute tonsillopharyngitis). The study was conducted in several scenarios and implemented gradually. First scenario, seven classes were merged into four classes (normal, pharyngitis, tonsillitis, and acute tonsillopharyngitis). Second scenario, four classes were combined into three classes (normal, pharyngitis, and tonsillitis). Third scenario, three classes were grouped into two classes (normal and illness). The results indicated that both the ResNet50 and EfficientNetB0 architectures achieved the highest performance in the third scenario (two classes). Both models showed identical evaluation matrics with accuracy of 91,67%, precision of 90%, recall of 100%, and F1-score of 94,74%. Furthermore, this study suggests that a dataset with numerous classes and limited data can be addressed by merging classes, thereby increasing the data size within each class. Key words: Classification, Throat Disease, CNN, ResNet50, EfficientNetB0.
Multidimensional in Integrated Islamic Schools Based on Web Technology: Integration of Al-Qur’an Learning Modules and Daily Activities Solihin, Muhammad Yusuf Baihaqi Solihin; Dwi Ratnasari; Sri Endang Anjarwani
Journal of Computer Science and Informatics Engineering (J-Cosine) Vol 9 No 2 (2025): December 2025
Publisher : Informatics Engineering Dept., Faculty of Engineering, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jcosine.v9i2.665

Abstract

Currently, the manual system of report card assessors is no longer considered adequate for handling the workload. The process of assessing student grades on SDIT Anak Sholeh Mataram report cards which still uses conventional methods causes the assessment service process to be less than optimal. Therefore, to overcome these difficulties, a web-based e-report information system was designed using the PHP programming language and using the MySQL database to process report card filling data. This web-based e-report is not only used to fill in academic grades but there are other assessments that can be used, namely assessments in the context of tahfiz and tahsin and assessing students' daily activities. The method used in web development this web-based e-report information system is the rapid application development (RAD) method with several stages of needs analysis, system design, coding and testing, program implementation, and maintenance. This method is used because it can shorten the time in developing an information system than traditional methods. Based on the questionnaire with 10 questions given, there were 78% who agreed with the creation of the application.
Pengembangan Front-End dan Pengambilan Data untuk Visualisasi Data dan Aktivitas Pramuka Kota Mataram Budisantoso, Arvelio Renathan; Irmawati, Budi; Afwani, Royana
Journal of Computer Science and Informatics Engineering (J-Cosine) Vol 9 No 2 (2025): December 2025
Publisher : Informatics Engineering Dept., Faculty of Engineering, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jcosine.v9i2.674

Abstract

Mataram City's scouting administration information system currently relies on manual processing like Google Forms and Excel that encounter challenges at the Scout Unit level up to the District Council. These manual processing result in data mistakes, reporting delays, and challenges for the Regency Council to obtain real-time information. This project aims to create a website-based information system using the Scrum methodology in order to centrally digitalize members, scoutmasters, and scout activities data management. Using Next.js and TypeScript, the authors develop a front-end and data retrieval from API Endpoints. This application to enhance user productivity, facilitate cross-level reporting, and provide effective data visualization. These benefits are supported by the User Acceptance Testing results, which show an average feasibility score of 81.74% in the "good" category across functionality, reliability, usability, and efficiency aspects. This confirms that the digitalization of scout administration is both ready to be implemented and aligned with user expectations.
A Systematic Review Factors Influencing Patient Utilization of Telepharmacy Services Azami S, Lalu M. Rifqi; Andanalusia, Mahacita; Arimbawa, I Wayan Agus; Mayada, Silhiyatun; Bimantika, Fara Mutia
Journal of Computer Science and Informatics Engineering (J-Cosine) Vol 9 No 2 (2025): December 2025
Publisher : Informatics Engineering Dept., Faculty of Engineering, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jcosine.v9i2.688

Abstract

The advancement of telepharmacy has significantly transformed the delivery of pharmaceutical services, particularly in regions with limited healthcare access. This systematic review aims to identify key factors influencing patients' utilization of telepharmacy services. A comprehensive literature search was conducted across PubMed, ScienceDirect, and Google Scholar, following PRISMA guidelines. Inclusion and exclusion criteria were applied to select relevant studies published between 2015 and 2025. Thematic synthesis of five eligible studies revealed five key factors affecting telepharmacy adoption: perceived practicality, efficiency, education level and age, knowledge, and trust. These factors align with the Technology Acceptance Model (TAM), highlighting the roles of perceived usefulness, ease of use, and psychological readiness. Strengthening digital literacy, infrastructure, and trust-building interventions is essential to enhance telepharmacy utilization, especially in developing countries like Indonesia. The findings provide valuable insights for designing patient-centered telepharmacy policies and services. Keywords: Telepharmacy, utilization factors, patient acceptance, Technology Acceptance Model, healthcare access.
Integrated Kinematic-Dynamic Modeling and Ontology-Based Design of a Two-Link Planar Robotic Manipulator Giri Wahyu Wiriasto; Patmanthara, Syaad; Sendari, Siti; Lestari, Dyah; Iqbal, Muhamad Syamsu
Journal of Computer Science and Informatics Engineering (J-Cosine) Vol 9 No 2 (2025): December 2025
Publisher : Informatics Engineering Dept., Faculty of Engineering, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jcosine.v9i2.695

Abstract

Page 17 of 17 | Total Record : 168

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