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All Journal TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) Progresif: Jurnal Ilmiah Komputer Jurnal Tekinkom (Teknik Informasi dan Komputer) Budimas : Jurnal Pengabdian Masyarakat International Journal of Advances in Data and Information Systems BERNAS: Jurnal Pengabdian Kepada Masyarakat Journal of Applied Data Sciences INSERT: Information System and Emerging Technology Journal Jurnal Ilmiah Ilmu Terapan Universitas Jambi eProceedings of Engineering Jurnal Komtika (Komputasi dan Informatika)
Putra, Made Adi Paramartha
STMIK Primakara
Religion Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mathematics Neuroscience Nursing Public Health Social Sciences Veterinary Other

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Development and Implementation of the Primakara Virtual Assistant Based on Generative Artificial Intelligence Putra, Made Adi Paramartha; Suyasa, I Putu Buda; Artana, I Made; Utami, Nengah Widya
International Journal of Advances in Data and Information Systems Vol. 6 No. 3 (2025): December 2025 - International Journal of Advances in Data and Information Syste
Publisher : Indonesian Scientific Journal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59395/ijadis.v6i3.1407

Abstract

The growing need for efficient, accessible, and context-aware academic support systems has led to the exploration of Generative AI (GenAI) technologies in educational settings. However, existing virtual assistants often lack contextual relevance, adaptability, and user-friendly interaction, limiting their effectiveness in higher education environments. This study proposes a GenAI-based Virtual Assistant (VA) tailored for university-related applications, combining voice recognition, natural language understanding, and text-to-speech technologies to create an interactive and intelligent support system. The proposed work was evaluated through four key testing stages: black-box functionality testing, response similarity analysis, inference time measurement, and user acceptance testing. Black-box testing validated the system’s ability to process speech input, generate accurate audio responses, and provide responsive UI/UX feedback. A TF-IDF cosine similarity analysis across 11 academic departments yielded an average similarity score of 81.86%, demonstrating semantic alignment with institutional content. The system also maintained an average response time of 3.88 seconds. User feedback from 25 participants revealed high satisfaction levels, with scores exceeding 4.0 across all indicators and large T-statistic value. These results confirm the system’s potential as an effective, real-time academic assistant.
Monitoring dan Pemberian Pakan Ikan Lele Otomatis berbasis Internet of Things (IoT) di Tambak Good's Lele Putra, Nyoman Adi Andrian Kusuma; Paramartha Putra, Made Adi; Noviyanti Kusuma, Ni Putu
Jurnal Komtika (Komputasi dan Informatika) Vol. 9 No. 2 (2025)
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/komtika.v9i2.15171

Abstract

Budidaya ikan lele merupakan sektor potensial dalam memenuhi kebutuhan konsumsi masyarakat. Namun, metode pemberian pakan manual sering menyebabkan ketidakteraturan dan memicu kanibalisme, yang menurunkan produktivitas. Tambak Good’s Lele di Batubulan, Sukawati, Gianyar, masih menggunakan metode manual sehingga diperlukan sistem otomatis untuk meningkatkan efisiensi. Pengembangan sistem ini memanfaatkan microcontroller ESP32 dan dilengkapi dengan berbagai sensor seperti sensor suhu (DS18B20), sensor pH, turbidity sensor, ultrasonic, dan loadcell. Sistem ini mampu memantau kualitas air serta mendeteksi tinggi dan berat pakan dalam wadah. Ketika kondisi terdeteksi sesuai, mekanisme pemberian pakan akan diaktifkan secara otomatis menggunakan motor servo dan motor DC. Data hasil pemantauan ditampilkan melalui LCD 20x4 I2C serta dikirimkan ke antarmuka website yang dapat diakses melalui perangkat seperti laptop atau smartphone. Hasil akhir dari proyek ini adalah sebuah sistem yang terintegrasi dan dapat bekerja secara otomatis serta manual melalui antarmuka website. Sistem ini memungkinkan pengawasan dan pemberian pakan ikan secara tepat waktu dan efisien. Selain itu, sistem ini juga diharapkan dapat membantu meningkatkan produktivitas tambak dan mendukung pengembangan teknologi di sektor perikanan berbasis IoT
Effectiveness Fine-Tuned Multilingual BERT Model for Sentiments Classification Toward Bali’s Cultural Attractions Utami, Nengah Widya; Saad, Amna Binti; Putra, Made Adi Paramartha; Putra, I Gede Juliana Eka
International Journal of Advances in Data and Information Systems Vol. 7 No. 1 (2026): April 2026 - International Journal of Advances in Data and Information Systems
Publisher : Indonesian Scientific Journal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59395/ijadis.v7i1.1483

Abstract

This study examines the performance of a fine-tuned Multilingual BERT (mBERT) model for sentiment analysis of tourist reviews on Balinese cultural attractions. A multilingual dataset comprising 7,878 user-generated reviews from Google Maps and TripAdvisor was utilized to capture diverse linguistic expressions and visitor perspectives. The research methodology includes: (1) problem formulation and literature review; (2) dataset collection, preprocessing, and tokenization; (3) model training using mBERT as the baseline; (4) fine-tuning for domain adaptation; and (5) comparative evaluation with other Transformer models (XLM-Roberta and Distil-mBERT) and classical algorithms including Logistic Regression, Support Vector Machine, and Naïve Bayes. The results demonstrate a substantial improvement after fine-tuning. The baseline mBERT achieved 85.45% accuracy, while the fine-tuned model reached 92.13% accuracy with an AUC of 0.909, confirming the effectiveness of domain-specific adaptation. Although XLM-Roberta obtained slightly higher performance (93.15% accuracy, AUC 0.946), the fine-tuned mBERT showed stable and competitive results, making it the primary model of this study. Comparisons with classical methods further indicate that Transformer-based approaches provide more balanced and reliable sentiment classification. Sentiment distribution analysis reveals that tourist perceptions are predominantly positive, particularly regarding cultural authenticity and the quality of performances such as the Kecak and Fire Dance. Negative sentiments mainly relate to operational aspects, including crowd management, seating arrangements, and ticketing processes. Overall, this study provides empirical evidence that fine-tuned mBERT can effectively support data-driven evaluation of tourist experiences and deliver actionable insights for improving service quality and sustainability of Bali’s cultural tourism
Pengembangan Prototype Kotak Obat Otomatis Berbasis IoT untuk Pemantauan dan Pengingat Konsumsi Obat Radika, Putu Dendy Kayoana; Putra, Made Adi Paramartha; Permana, Putu Trisna Hady
Jurnal Komtika (Komputasi dan Informatika) Vol. 10 No. 1 (2026)
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/komtika.v10i1.16096

Abstract

The smart medicine box is a modern solution designed to assist users in managing their medication schedules consistently and on time. This study aims to design an automated reminder and medicine dispensing system based on the Internet of Things (IoT) using an ESP32 microcontroller. The system is connected to a Firebase Realtime Database to store and display data in real-time through a web interface built with Next.js. The device is equipped with a stepper motor, I2C LCD, buzzer, and a manual button that functions as a mechanism for refilling medicine. Testing was conducted using the black-box method to ensure all features functioned properly. The implementation results show that the system successfully performs medicine time reminders, automatic dispensing, and history logging. It is expected that this system can be further developed to enhance user convenience, improve adherence to medication schedules, and ensure reliable remote monitoring through the website platform.
Co-Authors Artana, I Made Bagus Putu Wahyu Nirmala Banurea, Jonathan Maxwel Perolihen Cita, I Wayan Risko Surya Doan Perdana Hady Permana S, Putu Trisna Herlantika, I Kadek Andika I Gede Juliana Eka Putra I Kadek Dwi Antoro Oka I Putu Trisna Hady Permana S. Indra Satriawan, Gusti Made Juliana, I Ketut Agus Noviyanti Kusuma, Ni Putu Nyoman Bogi Aditya Karna Nyoman Karna, Nyoman Nyoman Purnama, Nyoman Permana, Putu Trisna Hady Putra, I Gede Juliana Eka Putra, I Nyoman Ganeshan Ananda Putra, Nyoman Adi Andrian Kusuma Radika, Putu Dendy Kayoana Rahmawati, Tia Ridha Muldina Negara Saad, Amna Binti Sampedro, Gabriel Avelino Shin, Soo Young Sutresna, I Made Suyasa, I Putu Buda Utama, I Komang Ram Pramartha Utami, Nengah Widya Widya Utami, Nengah Wijaya, Merta Winangun, Kadek Surya