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All Journal INFORMAL: Informatics Journal Sinkron : Jurnal dan Penelitian Teknik Informatika Network Engineering Research Operation [NERO] JUTIK : Jurnal Teknologi Informasi dan Komputer International Journal of Community Service Learning Building of Informatics, Technology and Science Jurnal Mantik Indonesian Journal of Data and Science Jurnal Info Sains : Informatika dan Sains JSIKTI (Jurnal Sistem Informasi dan Komputer Terapan Indonesia) Jurnal WIDYA LAKSMI (Jurnal Pengabdian Kepada Masyarakat)
Ariana, Anak Agung Gede Bagus
Program Studi Sistem Komputer, STMIK STIKOM Indonesia Jl Tukad Pakerisan No. 97, Denpasar, Bali
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Social Sciences Other

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Sentiment analysis of mobile jkn application reviews using the multinomial naïve bayes algorithm Paratama, I Putu Dedy Eka; Bagus Ariana, Anak Agung Gede; Labasariyani, Ni Luh Putu; Rahayu G, Ni Luh Wiwik Sri
Jurnal Mantik Vol. 9 No. 1 (2025): May: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.v8i5.6221

Abstract

Digital transformation in healthcare services has significantly improved public access to information. The Mobile JKN (National Health Insurance) application was developed to facilitate easier access to healthcare services. However, its effectiveness needs to be evaluated through sentiment analysis of user reviews on the Google Play Store. This study aims to determine user sentiment toward the Mobile JKN application using the Multinomial Naïve Bayes method, a commonly used classification technique in machine learning. The data was collected through web scraping and processed through several stages, including tokenization, stopword removal, and text normalization. Sentiment labels were then assigned using a lexicon-based approach, specifically the INSET lexicon, before classification. The analysis revealed that the majority of reviews expressed negative sentiment, particularly concerning application performance, technical issues, and healthcare service quality. The results also showed that the Multinomial Naïve Bayes model was able to classify the data with an accuracy of 81%. Therefore, the Mobile JKN application still requires technical improvements and service enhancements to provide a better user experience. This study offers valuable insights for developers and can serve as a foundation for policy-making to improve the quality of digital healthcare services
Performance Comparison of MobileNetV2 and NASNetMobile Architectures in Soybean Leaf Disease Classification I Gede Rian Lanang Oka; Anak Agung Gede Bagus Ariana; Wayan Sauri Peradhayana; Ni Luh Wiwik Sri Rahayu Ginantra; I Ketut Sutarwiyasa
Indonesian Journal of Data and Science Vol. 6 No. 2 (2025): Indonesian Journal of Data and Science
Publisher : yocto brain

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56705/ijodas.v6i2.243

Abstract

Soybean is one of the essential commodities in Indonesia, commonly used as a raw material for tofu and tempeh, making it highly sought after. However, soybean production has decreased by up to 30% due to disease attacks, necessitating preventive measures. This study aims to compare two Convolutional Neural Network (CNN) architectures, MobileNetV2 and NASNetMobile, in classifying soybean leaf diseases. The models were trained using a leaf image dataset collected directly from agricultural fields and categorized into five classes. The dataset underwent augmentation to increase its size, resulting in a total of 6,000 images, which were then split with an 80:10:10 ratio. The models were trained using the Adam optimizer with a learning rate of 0.001, optimized using ReduceLROnPlateau, and a dropout rate of 0.2 to prevent overfitting. Evaluation results using a confusion matrix indicated that MobileNetV2 performed better with an accuracy of 96.67%, precision of 96.70%, recall of 96.67%, and an F1-score of 96.68%, compared to NASNetMobile, which achieved an accuracy of 86.33%, precision of 86.91%, recall of 86.33%, and an F1-score of 86.40%.
Sistem Informasi Monitoring Proses Pembelajaran di STMIK STIKOM Indonesia Pratama, I Putu Adi; Ariana, Anak Agung Gede Bagus
Jurnal Sistem Informasi dan Komputer Terapan Indonesia (JSIKTI) Vol 2 No 1 (2019): September
Publisher : INFOTEKS (Information Technology, Computer and Sciences)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (502.99 KB) | DOI: 10.33173/jsikti.48

Abstract

The Lecture Program Unit (SAP) consists of determining learning objectives, the material to be discussed, how to present it, supporting media and learning resources that can be used. At the end of each teaching and learning activity, for the purposes of monitoring and evaluation, teaching staff are required to write SAP realization in a teaching journal. At STMIK STIKOM Indonesia, the process of writing this teaching journal is done manually. The lecturer filled out the material given in class in a teaching journal. The process is done manually resulting in the process of monitoring and evaluation can not be done regularly. In this research, a Web-based monitoring system for teaching and learning process was developed in STMIK STIKOM Indonesia. From the test results obtained, the system built can facilitate lecturer coordinator lecturers to monitor the course of the teaching and learning process. In addition, the system built can also facilitate lecturer coordinator lecturers in conducting the recapitulation process of the suitability of SAP with the realization of SAP written by lecturers supporting courses
ELECTRE-Based Decision Support Model for LPG Base Location Optimization Putri, Ida Ayu Putu Calista Kencana; Sudipa, I Gede Iwan; Ariana, Anak Agung Gede Bagus; Yanti, Christina Purnama; Ekayana, Anak Agung Gde
Sinkron : jurnal dan penelitian teknik informatika Vol. 10 No. 1 (2026): Article Research January 2026
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v10i1.15500

Abstract

The kerosene to LPG (Liquefied Petroleum Gas) 3 kg conversion program since 2007 has successfully improved household energy efficiency, but equitable access to bases in remote areas is still an obstacle. In Tabanan Regency, Bali, eight villages do not have access to 3 kg LPG bases, making it difficult for the community to obtain LPG at the Highest Retail Price (HET) and timely supply. This research develops a decision-making model using the ELECTRE method to recommend optimal base locations based on a case study of four villages: Pupuan Sawah, Dalang, Mundeh, and Belatungan. The model integrates 15 criteria including population density, infrastructure accessibility, existing base distance, and the presence of public facilities with a multi-stakeholder approach. The model is expected to be a tool for LPG agents and policy makers in determining the optimal base location and supporting equitable distribution of subsidized energy.
Co-Authors Agus Perdana Windarto Anak Agung Gde Ekayana Andika, I Gede Christina Purnama Yanti Desak Putu Parmiti Dewa Gede Agus Putra Prabawa Evi Dwi Krisna . Gde Andrayuga Pramaditha Tenaya I Dewa Made Adi Baskara Joni I Gede Adnyana I Gede Adnyana I Gede Handi Raharja I Gede Iwan Sudipa I Gede Rian Lanang Oka I Gusti Made Ngurah Desnanjaya I Kadek Dwi Gandika Supartha I ketut Gede Darma Putra I Nyoman Buda Hartawan I Nyoman Jayanegara I Putu Adi Pratama, I Putu Adi I Wayan Ardana I WAYAN SUDIARSA Linawati Linawati Merta, I Kadek Priyana Adi NI LUH PUTU LABASARIYANI Ni Luh Wiwik Sri Rahayu Ginantra Ni Made Mila Rosa Desmayani, Ni Made Mila Rosa Ni Wayan Suniasih Njoera, Yahya Alexander Djo Paratama, I Putu Dedy Eka Putri, Ida Ayu Putu Calista Kencana Putu Risanti Iswardani Rahayu G, Ni Luh Wiwik Sri Ridho, Ihda Innar Sutarwiyasa, I Ketut Wayan Sauri Peradhayana Wiyata Putra, I Dewa Putu Gede