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All Journal Jurnal Teknik Elektro TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal Lembaga Penelitian Universitas Mataram Jurnal Teknologi Informasi dan Ilmu Komputer JOIV : International Journal on Informatics Visualization Jurnal Penelitian Pendidikan IPA (JPPIPA) Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) Journal of Computer Science and Informatics Engineering (J-Cosine) EDUMATIC: Jurnal Pendidikan Informatika Jurnal Manajemen Informatika dan Sistem Informasi Jurnal Teknologi Informasi, Komputer, dan Aplikasinya (JTIKA ) Jurnal Abdi Insani JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Jurnal Teknik Informatika (JUTIF) TIERS Information Technology Journal Jurnal Begawe Teknologi Informasi AMMA : Jurnal Pengabdian Masyarakat Edu Komputika Journal
I B K Widiartha
Program Studi Teknik Informatika Universitas Mataram
Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Nursing Physics

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Efficient Rice Leaf Disease Classification Using Enhanced CAE-CNN Architecture Suhada, Destia; Suta Wijaya, I Gede Pasek; Widiartha, Ida Bagus Ketut; Jo, Minho
TIERS Information Technology Journal Vol. 6 No. 2 (2025)
Publisher : Universitas Pendidikan Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38043/tiers.v6i2.7159

Abstract

This study introduces an enhanced Convolutional Autoencoder–Convolutional Neural Network (CAE–CNN) model designed for efficient and accurate classification of rice leaf diseases. This study aims to develop an architecture that achieves high accuracy while maintaining computational efficiency, serving as an integrative and applicative technical innovation for rice disease detection. The proposed architecture integrates a Squeeze and Excitation Block (SE-Block), Global Max Pooling (GMP), and Separable Convolution to improve feature extraction while reducing the number of parameters and inference time. A total of 7,430 labeled images from five rice disease classes were used for model training and evaluation. The model was optimized using Optuna-based hyperparameter tuning and validated through an ablation and comparative analysis to assess the impact of each component. Experimental results show that the proposed model achieves 99.39% accuracy with only 85,859 parameters, a compact size of 0.28 MB, and inference time at 0.06657 ms/image with 15,213 FPS. These findings demonstrate that the proposed CAE–CNN effectively combines high accuracy and low computational cost, making it highly suitable for real-time and edge-based rice disease classification systems.
Integration of Skyline Query with the PROMETHEE MCDM Method: A Case Study on Structural Official Selection Wijaya, Budiman; Wijayanto, Heri; Widiartha, Ida Bagus Ketut
Edu Komputika Journal Vol. 12 No. 1 (2025): Edu Komputika Journal
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/edukom.v12i1.29049

Abstract

The selection of structural officials within higher education institutions is a strategic and complex process that demands objectivity, transparency, and a data-driven approach. However, the increasing number of candidates and the diversity of evaluation criteria, such as years of service, rank, education, age, and performance, pose significant challenges in ensuring fair and efficient decision-making. Addressing this gap, this study proposes a hybrid method by integrating Skyline Query with the Preference Ranking Organization Method for Enrichment Evaluations (PROMETHEE), offering a novel contribution to multi-criteria decision-making (MCDM) in public sector human resource selection. Skyline Query is employed as a preselection mechanism to eliminate 161 dominated candidates from an initial dataset of 228, allowing only the 67 most non-dominated candidates to advance to the ranking stage. PROMETHEE is then applied to generate rankings based on leaving and entering flow values. To evaluate the consistency and validity of this combined approach, the resulting rankings are compared with those from the pure PROMETHEE method using Spearman’s Rank Correlation. The analysis yields a high correlation coefficient of ρ = 0.967, indicating a very strong agreement between the two methods and confirming that the Skyline filtering does not distort ranking quality. The findings demonstrate that the Skyline+PROMETHEE integration significantly enhances the efficiency of the selection process by reducing computational complexity while preserving decision accuracy. Moreover, this approach strengthens the transparency and accountability of structural official selection, particularly in the context of the University of Mataram, and can be generalized to other institutional decision-making scenarios.
PENGEMBANGAN SISTEM INFORMASI MONITORING PRAKTIK KERJA LAPANGAN BBPOM MATARAM DENGAN METODE RAPID APPLICATION DEVELOPMENT Adinata, Bagas; Agitha, Nadiyasari; Widiartha, Ida Bagus Ketut
JTIKA (Jurnal Teknik Informatika, Komputer dan Aplikasinya) Vol 8 No 1 (2026): Maret 2026
Publisher : Program Studi Teknik Informatika, Fakultas Teknik, Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jtika.v8i1.527

Abstract

The Mataram National Agency of Drug and Food Control (BBPOM Mataram) requires an information system to manage internship participants’ data more effectively. The administrative process has been carried out manually, which often leads to inefficiency and potential errors in data storage. This study aims to develop a web-based information system that integrates the entire internship process, including application submission, entrance selection through pre-test, attendance recording, daily activity documentation, and final score calculation based on attendance and activities. The system was developed using the Rapid Application Development (RAD) method, which emphasizes iterative prototyping and user feedback to accelerate the development process. System testing was conducted using the black-box testing method to evaluate the functionality of each feature according to the requirements. In addition, usability testing was performed using the System Usability Scale (SUS), resulting in a score of 79,16, which indicates that the system is considered Good in terms of usability. The test results show that all system features function properly and meet the specified requirements. The implementation of this system supports BBPOM Mataram in improving efficiency, accuracy, and integration in managing internship participant data.
Perencanaan Mobilisasi Sampah Desa Batu Putik Ida Ayu Oka Suwati Sideman; Ida Bagus Ketut Widiartha
AMMA : Jurnal Pengabdian Masyarakat Vol. 3 No. 3 : April (2024): AMMA : Jurnal Pengabdian Masyarakat
Publisher : CV. Multi Kreasi Media

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Batu Putik Village has carried out potential disaster mapping, and has determined the potential for disaster based on community perception, namely flood disasters that occur during the rainy season with the trigger being incomplete waste processing. There is no certainty about the waste residue that will be sent to the Ijo Balit Final Processing Site (TPA) owned by the East Lombok district government, creating obstacles for planning modes and mobilization. For this reason, it is deemed necessary to have a community assistance activity based on Participatory Action Research (PAR) which is able to design a pattern for transporting waste residues to the landfill with community involvement to maintain the continuity of the program in the future even if assistance is not provided. This activity shows that the residual waste after sorting is 1,030 tons/day so the optimal mode for transporting it is a dump truck with a capacity of 3m3 or a pick-up with a capacity of 2m3. The travel time required is around 1 hour for a travel distance of 42.29 km. It is highly recommended in further research to calculate the operational costs of Integrated Temporary Processing Sites (TPST) in villages, where waste sorting is carried out as a trigger for program sustainability, especially for TPST independence.
Integrated Notification System for Smart Parking Security Using Bot Telegram Mohammad Liyananta Septipalan; Ida Bagus Ketut Widiartha; Ariyan Zubaidi; Muhammad Taufik
Jurnal Penelitian Pendidikan IPA Vol 10 No 5 (2024): May
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v10i5.7447

Abstract

Notification system for smart parking system is very important for parking security. The purpose of this research is to create a system used in parking security in the technical faculty of mataram university. The method used in this research is the flow of making a notification system using a telegram bot, namely determining the notification using a telegram bot and then creating a telegram bot that will send notifications to security guards, after the bot has been created, then coding the notification system so that the notification can run according to existing rules. The results showed that the notification system made runs according to predetermined rules as seen from the success of sending notifications to the security guard group. The conclusion is that the use of this notification system is a solution to parking security problems. This notification system can provide accurate information to security officers regarding information on vehicle data mismatches and vehicle license plates so that vehicles in the parking area can be monitored.
UI/UX Design of a Web-Based Inventory Information System at the Educational Quality Assurance Agency of West Nusa Tenggara Province: PERANCANGAN UI/UX SISTEM INFORMASI INVENTARIS BARANG BERBASIS WEBSITE PADA BALAI PENJAMINAN MUTU PENDIDIKAN PROVINSI NTB Nabila Nur Syfani; Ida Bagus Ketut Widiartha; I Ketut Budiarthi; Budi Irmawati
Jurnal Begawe Teknologi Informasi (JBegaTI) Vol. 7 No. 1 (2026): JBegaTI
Publisher : Program Studi Teknik Informatika, Fakultas Teknik Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jbegati.v7i1.1444

Abstract

Pengelolaan inventaris barang di Balai Penjaminan Mutu Pendidikan (BPMP) Provinsi NTB masih dilakukan menggunakan Microsoft Excel sehingga proses pencatatan, pencarian data, dan penyusunan laporan belum berjalan secara efisien. Penelitian ini bertujuan merancang UI/UX sistem informasi inventaris barang berbasis website menggunakan metode User Centered Design (UCD). Proses perancangan dilakukan menggunakan Figma melalui tahapan understanding context of use, specifying user requirements, designing the solution, dan evaluating the design. Evaluasi dilakukan menggunakan System Usability Scale (SUS) terhadap 24 responden. Hasil pengujian memperoleh skor rata-rata SUS sebesar 85,85 yang termasuk kategori excellent. Hasil tersebut menunjukkan bahwa desain sistem yang dirancang mudah digunakan dan sesuai dengan kebutuhan pengguna dalam pengelolaan inventaris barang di lingkungan BPMP NTB.
Co-Authors Adinata, Bagas Afwani, Royana Agitha, Nadiyasari Al Qadri, Ramadhani Alamsyah, Noor Albar, Moh. Ali Albar, Mohammad Ali Anjarwani, Sri Endang Ario Yudo Husodo Ario Yudo Husodo, Ario Yudo Ariyan Zubaidi Arvini Anindhita Askit, Baiq Ratna Ayoedya, Jasmine Nabila Bimantari, Joselina Rizki Budi Irmawati Budi Irmawati Deo Marta Dipayana Dwi Ratnasari Erdian, Naufal Evandry Syahputra Fitri Bimantoro Gibran Satria Nugraha Harir, Zainul Heri Wijayanto Husna, Nabila Ummul Hwang, Jun-seok I Gede Pasek Suta Wijaya I Ketut Budiarthi I Wayan Agus Arimbawa, I Wayan Agus Ida Ayu Oka Suwati Sideman Jayusman, Dirga Jo, Minho Kurrotaa'yun, Baiq Dwi Zulianti Kusuma, Pande Permadi Moh Ali Albar Mohammad Liyananta Septipalan Muhammad Taufik Munirah, Zahrahtun Murpratiwi, Santi Ika Mustianti Mustianti Nabila Nur Syfani Ni Made Puspitayanti Oktariani Nurul Pratiwi Puja, Sena Rassy, Regania Pasca Rosika, Herliana Sari, Gita Mailand Sri Endang Anjarwani Sri Endang Arjarwani Sugianti, Novalia Dwirohmatun Suhada, Destia Thuy, Tran Thi Thanh Topan Khrisnanda Wijaya, Budiman Wulandari, Sagita Yoon, Hyoen-yeong