cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
I Wayan Agus Arimbawa
Contact Email
arimbawa@unram.ac.id
Phone
-
Journal Mail Official
jcosine@unram.ac.id
Editorial Address
-
Location
Kota mataram,
Nusa tenggara barat
INDONESIA
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 178 Documents
 14   15   16   17   18 
Klasifikasi Citra Ikan Berbasis Ekstraksi Fitur dengan Convolutional Autoencoder dan CNN Classifier Destia Suhada; Qalbi Ala Dinika; Muhamad Firdaus; I Gede Pasek Suta Wijaya
Journal of Computer Science and Informatics Engineering (J-Cosine) Vol 10 No 1 (2026): June 2026
Publisher : Informatics Engineering Dept., Faculty of Engineering, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jcosine.v10i1.664

Abstract

Automatic fish species classification is crucial for supporting fisheries management, particularly in coastal regions such as Lombok. This study proposes an artificial intelligence-based approach combining a Convolutional Autoencoder (CAE) as a feature extractor and a Convolutional Neural Network (CNN) as a classifier. The dataset consisted of 9,000 colored images from nine fish species, which were converted to grayscale. Experimental results show that the CAE+CNN model achieved a classification accuracy of 95.94% within 0.87 seconds for 1,800 images. In comparison, the pure CNN model achieved a higher accuracy of 99.05% and faster performance, but with a much larger model size and complexity. The CAE+CNN approach is considered more lightweight and efficient, making it suitable for deployment on resource-constrained devices. This technology has strong potential for local implementation to support the digital transformation of the fisheries sector and assist fishing communities in automatically identifying fish species, improving efficiency, and reducing dependency on manual classification by experts.
Perancangan Sistem Informasi Rekam Medis Elektronik Berbasis Website Menggunakan Metode User-Centered Design (Studi Kasus: Rumah Sakit Universitas Mataram) Khairunnisa Fitriani; Santi Ika Murpratiwi; Moh. Ali Albar
Journal of Computer Science and Informatics Engineering (J-Cosine) Vol 10 No 1 (2026): June 2026
Publisher : Informatics Engineering Dept., Faculty of Engineering, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jcosine.v10i1.668

Abstract

The growing demand for integrated and secure medical documentation has driven hospitals to adopt Electronic Medical Record (EMR) systems. This study focuses on the design of a web-based EMR system for the University of Mataram Hospital using the User-Centered Design (UCD) approach. The design aims to overcome the limitations of existing systems, particularly those related to hospital workflows that hinder usability and adaptability. The EMR module is envisioned as part of a microservice-based Hospital Information System, integrating key functionalities such as patient data management, medical history tracking, referral and control letter generation, and dashboard summaries. The development process includes user analysis, UML modeling, and UI/UX prototyping. The resulting prototype is evaluated using the User Experience Questionnaire (UEQ) with direct feedback from hospital staff. The final system is expected to be better aligned with the operational workflows of University of Mataram Hospital, offering improved integration, usability, and adaptability compared to the previous system.
Development of Data Bank Application at the Agriculture and Plantation Service of West Nusa Tenggara Using the Prototyping Method Agus Gunawan; Dwi Ratnasari; Sri Endang Anjarwani
Journal of Computer Science and Informatics Engineering (J-Cosine) Vol 10 No 1 (2026): June 2026
Publisher : Informatics Engineering Dept., Faculty of Engineering, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jcosine.v10i1.669

Abstract

This research aims to develop a Data Bank application that can assist Information and Documentation Management Officers (PPID) in providing public information services more quickly, accurately, and in a structured manner. This application is designed to address the problem of data management spread across various sectors, as well as delays in delivering information to the public. Development was carried out using a prototyping method, with direct user involvement in the design, testing, and evaluation processes of the system. The developed Data Bank application has several key features, including: storing and searching agricultural commodity data by category and year, data visualization in the form of interactive graphs, grouping data by district/city area, and an integrated information management system across sectors. This application is also equipped with data export, graph printing, and dynamic filtering features to facilitate information access by PPID officers and the public. System testing covered six aspects: functionality, performance, security and reliability, user interface (UI), user experience (UX), and its impact on PPID officer performance. The results showed that the Data Bank application successfully met all tested aspects with a user satisfaction level reaching 89%. This application is able to accelerate the process of providing information, improve work efficiency, and facilitate data storage and retrieval. Thus, the Data Bank application has been proven to support improving the quality of public information services within the NTB Agriculture and Plantation Service.
PERANCANGAN SISTEM INFORMASI MANAJEMEN RUMAH SAKIT MODUL FARMASI MENGGUNAKAN METODE TOTAL ARCHITECTURE SYNTHESIS (STUDI KASUS: RUMAH SAKIT UNIVERSITAS MATARAM) M. Irfan Ramdhani; Dwi Ratnasari; Santi Ika Murpratiwi
Journal of Computer Science and Informatics Engineering (J-Cosine) Vol 10 No 1 (2026): June 2026
Publisher : Informatics Engineering Dept., Faculty of Engineering, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jcosine.v10i1.672

Abstract

This study aims to optimize the hospital pharmacy process at the University of Mataram Hospital by designing a userfriendly interface for the pharmacy module within the Hospital Management Information System (HMIS). In this research, a combined methodology of Total Architecture Synthesis (TAS) and User-Centered Design (UCD) was employed to ensure both a structured system architecture and a design that meets user needs. For the data collection observations, staff interviews, and literature reviews, which revealed several limitations and confusions in the existing system. The redesigned pharmacy module facilitates structured pharmacy workflow management and supports accurate data reporting. Usability evaluation using the User Experience Questionnaire (UEQ) yielded positive results across all dimensions, with “Stimulation” scoring highest at 1.68 on scale from -3 to +3. These findings indicate that the proposed system design is functional, engaging, and user-friendly, offering improved efficiency and usability in pharmaceutical service operations.Key words: Hospital Management Information System, Total Architecture Synthesis, Pharmacy Module.
Optimasi Augmentasi Data untuk Klasifikasi Motif Batik Indonesia Menggunakan Transfer Learning pada Convolutional Neural Network Baiq Anggita Arsya Rahmatin; Nazmi Wardiani; Syarif Hidayatullah; I Gede Pasek Suta Wijaya
Journal of Computer Science and Informatics Engineering (J-Cosine) Vol 10 No 1 (2026): June 2026
Publisher : Informatics Engineering Dept., Faculty of Engineering, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jcosine.v10i1.676

Abstract

Batik is an Indonesian cultural heritage that has various distinctive motifs from various regions. However, manual classification of batik motifs often requires special skills and considerable time.1 To overcome this, the Convolutional Neural Network (CNN)-based classification method with the help of transfer learning is a promising solution. This research uses a dataset of 500 batik images consisting of 10 different motif classes, each class containing 50 images. Data augmentation techniques are applied to expand the variety of training data with transformations such as rotation, zoom, and flipping to reduce overfitting and improve the generalization ability of the model. The MobileNetV2 model was selected as the base model of transfer learning due to its efficiency and ability to extract features from limited data. Experiments show that the MobileNetV2 model with fine-tuning produces the highest classification accuracy of 86%, which is superior to conventional CNNs that achieve accuracies between 59% and 65%. As a result, the combination of data augmentation and transfer learning in MobileNetV2 proved to be effective in improving the accuracy and efficiency of batik motif classification on small data.
Desain Modul Rawat Inap untuk Sistem Informasi Manajemen Rumah Sakit (Studi Kasus: Rumah Sakit Universitas Mataram) I Gede Restu Astikadeni; Ida Bagus Ketut Widiartha; Dwi Ratnasari
Journal of Computer Science and Informatics Engineering (J-Cosine) Vol 10 No 1 (2026): June 2026
Publisher : Informatics Engineering Dept., Faculty of Engineering, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jcosine.v10i1.685

Abstract

Advances in information technology have encouraged healthcare services to adopt Hospital Management Information Systems (HMIS) to improve operational efficiency. However, the inpatient module at Mataram University Hospital still has issues such as irrelevant form content, a complex interface, and inefficient navigation. This study aims to design a prototype of the inpatient module using the User-Centered Design (UCD) method. UCD places users at the center of the design process and ensures that the system addresses actual needs. The development process followed the UCD stages, including understanding the context of use, specifying user requirements, producing design solutions, and evaluating the design iteratively through wireframes and prototypes. Evaluation was conducted using the User Experience Questionnaire (UEQ), and the system achieved high scores in five out of six aspects: Attractiveness, Clarity, Efficiency, Stimulation, and Novelty. These results indicate that the prototype offers a positive user experience and is suitable for future implementation and development.
Implementation of Static Routing with Path Redundancy on LoRa SX1276 and ESP32 Based on Graph Theory L. Ahmad Syamsul Irfan Akbar; Misbahuddin; Muhamad Syamsu Iqbal; A. Sjamsjiar Rachman; Giri Wahyu Wiriasto; Djul Fikri Budiman; Made Sutha Yadnya
Journal of Computer Science and Informatics Engineering (J-Cosine) Vol 10 No 1 (2026): June 2026
Publisher : Informatics Engineering Dept., Faculty of Engineering, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jcosine.v10i1.701

Abstract

The rapid development of the Internet of Things (IoT) has increased the demand for energy-efficient wireless communication systems and others under various environmental conditions. LoRa (Long Range) technology has attracted considerable attention due to its ability to support long-distance transmission with low power consumption. However, most existing LoRa network implementations rely on single-hop or non-redundant statistical routing to the gateway point, making them vulnerable to link degradation or node failure. This study enhances the statistical routing mechanism with path redundancy implemented on an ESP32 microcontroller and an SX1276 LoRa transceiver module to improve communication transmission. The network topology is modeled using graph theory, where each node is represented as a vertex and communication paths are represented as weighted edges based on the Received Signal Strength Indicator (RSSI). The primary and backup routes are derived from the minimum-weighted path in the graph. Experimental results show that incorporating path redundancy improves the packet delivery ratio (PDR) and maintains communication continuity during primary path quality degradation. The proposed approach demonstrates the feasibility of a reliable multi-hop LoRa network using statistical routing with graph-based path redundancy.
Provincial Segmentation Based on K-Medoids Clustering for Risk Factor Mapping and Targeted Intervention of Stunting in Indonesia Dina Eka Putri; Syifa Salsabila Satya Graha; Baiq Fitria Rahmiati
Journal of Computer Science and Informatics Engineering (J-Cosine) Vol 10 No 1 (2026): June 2026
Publisher : Informatics Engineering Dept., Faculty of Engineering, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jcosine.v10i1.707

Abstract

Stunting is a multidimensional, chronic nutritional problem shaped by maternal health, caregiving practices, and environmental conditions. This study segments all 38 Indonesian provinces based on ten stunting risk indicators from the 2023 Indonesian Health Survey (SKI) using K-Medoids Partition Around Medoids (PAM) with Median-MAD robust scaling and Manhattan distance. Four optimal clusters were identified (Average Silhouette Width, ASW = 0.425). Sanitation access structurally separates the Papua highlands cluster. Four distinct provincial profiles emerged: (1) good WASH, moderate ANC and breastfeeding gaps; (2) good WASH with high maternal nutritional burden; (3) high anemia despite good service coverage; and (4) severe WASH deficit with low ANC. Cluster-specific policy recommendations are aligned with Indonesia’s existing programmes, i.e. Asta Cita 4, Gerakan Nasional Percepatan Perbaikan Gizi (Gernas PPG), the Thousand Days of Life (HPK) programme, and SDG 2, with targeted enhancements addressing identified gaps.

Page 18 of 18 | Total Record : 178

 14   15   16   17   18 

Filter by Year

2017 2026


Reset
Filter By Issues
All Issue Vol 10 No 1 (2026): June 2026 Vol 9 No 2 (2025): December 2025 Vol 9 No 1 (2025): Juni 2025 Vol 8 No 2 (2024): Desember 2024 Vol 8 No 1 (2024): Juni 2024 Vol 7 No 2 (2023): Desember 2023 Vol 7 No 1 (2023): June 2023 Vol 6 No 2 (2022): December 2022 Vol 6 No 1 (2022): June 2022 Vol 5 No 2 (2021): December 2021 Vol 5 No 1 (2021): June 2021 Vol 4 No 2 (2020): December 2020 Vol 4 No 1 (2020): June 2020 Vol 3 No 2 (2019): December 2019 Vol 3 No 1 (2019): June 2019 Vol 2 No 2 (2018): Desember 2018 Vol 2 No 1 (2018): Juni 2018 Vol 1 No 1 (2017): Desember 2017 More Issue