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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) JPTK: Jurnal Pendidikan Teknologi dan Kejuruan Jurnal Ilmu Komputer Jurnal Psikologi Jurnal Pendidikan Teknologi dan Kejuruan KARMAPATI (Kumpulan Artikel Mahasiswa Pendidikan Teknik Informatika) ISSN: 2252-9063 Jurnal Sains dan Teknologi Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Informatika dan Teknik Elektro Terapan SINTECH (Science and Information Technology) Journal Jurnal ULTIMA InfoSys Jurnal ULTIMATICS WIDYA LAKSANA Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) CICES (Cyberpreneurship Innovative and Creative Exact and Social Science) INSERT: Information System and Emerging Technology Journal Algoritme Jurnal Mahasiswa Teknik Informatika Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) MASALIQ: Jurnal Pendidikan dan Sains JUSIFOR : Jurnal Sistem Informasi dan Informatika Jurnal Pengabdian Masyarakat
I Ketut Resika Arthana
Universitas Pendidikan Ganesha
Religion Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Social Sciences Other

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USABILITY TESTING ON POTWIS APPLICATIONS Yuliyana, Tifani; Arthana, I Ketut Resika; Agustini, Ketut
JST (Jurnal Sains dan Teknologi) Vol. 8 No. 1 (2019)
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1151.812 KB) | DOI: 10.23887/jstundiksha.v8i1.12081

Abstract

This research was conducted to evaluate POTWIS application by highlighting three usability concepts that effectiveness, efficiency, and the satisfaction of the user in using POTWIS application measured by usability testing methode, Performance Measurement, RTA, UEQ, and SUS technique. The purpose is to know the result of usability testing and improvement recommendation on POTWIS application based of the result of usability testing.The result of this research is based on analysis of statical calculation Mann Whitney U Test, UEQ dan SUS which showed (1) POTWIS application is not effective seen from the existance of the mistake made by respondent during the task, (2) POTWIS application is efficient seen from the time of task execution because the execution time between proficient group and beginner group was not significantly different, (3) POTWIS application has not met the scale of efficiency measured by UEQ with score 0.625 which showed below the average and (4) POTWIS application has not fulfilled user satisfaction measured by SUS with score 53.00 which is stated still below the average score is > 68.
UNDIKSHA VIRTUAL ASSISTANT (SHAVIRA): INTEGRATION FREQUENCY ASKED QUESTION WITH RASA FRAMEWORK Resika Arthana, I Ketut; Dewi, Luh Joni Erawati; Seputra, Ketut Agus; Marti, Ni Wayan
JST (Jurnal Sains dan Teknologi) Vol. 10 No. 2 (2021)
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1084.369 KB) | DOI: 10.23887/jstundiksha.v10i2.39863

Abstract

Nowadays, the implementation of chatbots in information systems is getting popular to increase user experience. In our previous research, we developed Undiksha Virtual Assistant (Shavira). Shavira is a knowledge management system (KMS) as Frequency Asked Question (FAQ) system to facilitate users to get an answer about their questions. The challenge on the existing Shavira system is that the users must open a website and type queries to get a list of answers. The text query must match with the keyword in systems. To address this problem and to avoid cognitive load, in this research we implemented a chatbot in Shavira. The purpose of the chatbot implementation in Shavira is to make information easier to be accessed and to increase user experience. The users can ask a question in natural language and get an answer immediately on their chat application such as: Telegram, Facebook, or Messenger. We used Rasa Framework as a chatbot engine in Shavira. Rasa Framework is an open-source virtual assistant engine based on artificial intelligence. The challenge in conducting this research is in integrating the existing FAQ system with Rasa Framework. This research consists of four phases, they are: adaptation data structure in the existing FAQ with data structure requested by Rasa framework, data integration and mapper, and evaluation. The result of this research is a new Shavira that is integrated with a chatbot and can be accessed from chat applications such as Telegram.  We evaluated the accuracy of Shavira powered by Rasa Framework with ten topics about academic information. The results showed that the accuracy of Shavira is 90%. We also evaluated the usability of Shavira with Software Usability Scale (SUS) Questionnaire. The usability evaluation showed that Shavira satisfied users with value  81 (threshold 68) and categorized Excellent, Acceptable and Prometer.
Pemanfaatan Google ML Kit untuk Face Recognition sebagai Mekanisme Monitoring CBT Edu Mobile Putra, I Kadek Dwi Gitayana; Sunarya, I Made Gede; Arthana, I Ketut Resika
MASALIQ Vol 6 No 1 (2026): JANUARI
Publisher : Lembaga Yasin AlSys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/masaliq.v6i1.8349

Abstract

Mobile-based academic evaluation systems, such as Computer-Based Tests (CBT), are vulnerable to cheating, including impersonation (proxy test-taking) and illegal collaboration, thereby necessitating more reliable monitoring mechanisms to safeguard exam validity. This study aimed to develop and implement a Face Recognition feature utilizing Google ML Kit as a monitoring system in the CBT Edu application and to examine user responses to its implementation. The research employed a research and development (R&D) method using the ADDIE model (Analyze, Design, Development, Implementation, Evaluation), with exam participants and prospective users as the subjects and Google ML Kit as the research object. Data were collected through questionnaires used to assess system functionality and user experience. The results show that the Face Recognition-based exam monitoring system was successfully designed and implemented in the CBT Edu application. Functional testing using white-box and black-box methods validated all features, while device compatibility and bandwidth consumption testing demonstrated stable performance across various devices and network conditions. User responses measured using the User Experience Questionnaire (UEQ) fell into the “very good” category, with the six dimensions of Attractiveness (5.93), Perspicuity, Efficiency, Dependability, Stimulation, and Novelty (5.72) achieving average scores above 5.7. These findings indicate that the integration of Face Recognition in the CBT Edu application is effective in enhancing exam validity and provides a practical solution to minimize cheating in mobile-based academic evaluation systems, while simultaneously delivering a positive user experience.
Redesign Sistem Karya Akhir Universitas Pendidikan Ganesha menggunakan Pendekatan Design Thinking Putra, Decky Pratama; Arthana, I Ketut Resika; Putra, I Nyoman Tri Anindia
JUSIFOR : Jurnal Sistem Informasi dan Informatika Vol 4 No 2 (2025): JUSIFOR - Desember 2025
Publisher : Fakultas Sains Dan Teknologi, Universitas Raden Rahmat Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/jusifor.v4i2.8357

Abstract

The Final Project System at Undiksha plays an essential role in supporting academic administration; however, initial findings reveal issues related to navigation flow, interface clarity, and system feedback that reduce usability. This study analyzes the system’s usability and proposes a redesign using the Design Thinking approach through empathize, define, ideate, prototype, and test stages. The pre-test evaluation indicated an effectiveness and efficiency score of 79.99% and a QUIS satisfaction score of 3.70. After implementing improvements in navigation, progress visualization, layout consistency, and responsive feedback, post-test results increased effectiveness to 91.67% and efficiency to 91.67%, while the satisfaction score rose to 4.74, representing a 28.1% improvement. These results demonstrate that the proposed redesign significantly reduces user errors, accelerates task completion, and enhances overall interaction quality. The study contributes empirical evidence supporting iterative interface improvements to optimize academic web services.
SMART LOCK SYSTEM BERBASIS IOT MENGGUNAKAN ESP32 UNTUK KEAMANAN AKSES PUSAT DATA (STUDI KASUS: UPA TIK UNDIKSHA) Aryadi, Made Waradiana; Arthana, I Ketut Resika; Suputra, Putu Hendra
Jurnal Informatika dan Teknik Elektro Terapan Vol. 14 No. 1 (2026)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v14i1.8826

Abstract

Keamanan fisik pusat data berperan penting dalam menjamin keberlangsungan layanan teknologi informasi dari ancaman akses tidak sah dan tindakan kriminal. Pusat data UPA TIK Universitas Pendidikan Ganesha telah menerapkan sistem pengamanan dasar, namun masih menghadapi keterbatasan pada aspek pemantauan real-time, notifikasi otomatis, dan pengelolaan akses pengguna. Penelitian ini bertujuan merancang dan mengembangkan smart lock system berbasis Internet of Things menggunakan ESP32 guna meningkatkan keamanan akses fisik pusat data. Sistem yang dikembangkan mengintegrasikan autentikasi RFID dan sidik jari, komunikasi antar perangkat melalui protokol MQTT, sensor magnetic door switch untuk mendeteksi akses ilegal, serta notifikasi real-time melalui bot Telegram. Sistem juga dilengkapi fitur pendaftaran pengguna secara dinamis tanpa perlu pemrograman ulang perangkat. Metode penelitian yang digunakan adalah Research and Development. Hasil pengujian menunjukkan seluruh fungsi sistem berjalan sesuai spesifikasi dengan rata-rata latency sekitar 4 detik dan tingkat keberhasilan autentikasi 100%. RFID menawarkan respons yang cepat dan stabil namun memiliki risiko duplikasi dan kehilangan kartu, sedangkan sidik jari memberikan keamanan lebih tinggi meskipun latency-nya bervariasi. Secara keseluruhan, sistem ini mampu meningkatkan keamanan fisik pusat data secara terintegrasi dan responsif.
Mental Health of Kolok Community by Pancali Activities Putu Ari Dharmayanti; Putu Nanci Riastini; Dewa Dewa Gede Firstia Wirabrata; I Putu Pasek Suryawan; Ni Made Rai Wisudariani; I Gede Margunayasa; I Gede Astawan; Anak Agung Istri Dewi Adhi Utami; I Kadek Rai Suwena; I Ketut Resika Arthana
Jurnal Pengabdian Masyarakat Vol. 3 No. 2 (2025): Desember
Publisher : Fakultas Sains dan Teknologi Universitas Kanjuruhan Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21067/jdimas.v3i2.12799

Abstract

Stigma-stigma di masyarakat yang mendiskreditkan Komunitas Kolok sebagai komunitas dengan tingkat emosional yang labil, dengan riwayat kasus pencurian, perkelahian, kekerasan dalam rumah tangga semakin menguatkan ketidakberterimaan masyarakat akan Komunitas Kolok. Hal ini berimplikasi pada terhambatnya Komunitas Kolok dalam mendapatkan pekerjaan dan ketimpangan kesetaraan sosial yang mempengaruhi kesehatan mental mereka. Maka dari itu, program ini memiliki tujuan untuk meningkatkan kesehatan mental dan pemberdayaan masyarakat ketunaan. Subjek dari pelaksanaan program ini, yaitu 48 orang anggota Komunitas Kolok. Sedangkan objek dari program ini, yaitu peningkatan resiliensi, kesehatan mental, dan kesejahteraan ekonomi melalui aktivitas pada fase-fase Pancali. Teknik pengumpulan data yang digunakan berupa Pre-test dan Post-test dengan instrumen berupa angket. Analisis data dilakukan menggunakan Uji-t. Hasil penelitian menunjukkan bahwa pelaksanaan aktivitas pada fase-fase Pancali memberikan peningkatan resiliensi, kesehatan mental, dan kesejahteraan ekonomi bagi anggota Komunitas Kolok. Penelitian ini berimplikasi pada kesehatan mental masyarakat ketunaan.
Perancangan Sistem Early Warning Kebakaran Berbasis IoT pada Data Center UPA TIK Undiksha Mandiasa, Putu; Wijaya, I Nyoman Saputra Wahyu; Arthana, I Ketut Resika
Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) Vol. 4 No. 3 (2026): Februari 2026
Publisher : LKP KARYA PRIMA KURSUS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62712/juktisi.v4i3.888

Abstract

Data center merupakan infrastruktur kritis yang menyimpan dan mengelola data penting sehingga memerlukan sistem pengamanan yang andal, khususnya terhadap risiko kebakaran. Penelitian ini bertujuan merancang dan mengevaluasi sistem early warning kebakaran berbasis Internet of Things (IoT) pada Data Center UPA TIK Undiksha yang mampu mendeteksi potensi kebakaran secara dini, responsif, dan terintegrasi. Sistem dikembangkan dengan pendekatan pemantauan multi-parameter, meliputi deteksi api, asap, suhu, dan kelembaban lingkungan, serta dilengkapi mekanisme peringatan lokal dan notifikasi jarak jauh secara real-time. Evaluasi sistem dilakukan melalui pengujian fungsional dan pengujian performa untuk mengukur indikator kinerja utama, yaitu akurasi deteksi kondisi bahaya, waktu respon sistem (latency), keandalan pengiriman notifikasi, serta efisiensi konsumsi daya. Hasil pengujian menunjukkan bahwa sistem mampu mendeteksi indikasi kebakaran secara konsisten dengan rata-rata waktu respon sebesar 6 detik, serta berhasil mengirimkan notifikasi peringatan melalui Bot Telegram secara real-time. Selain itu, sistem memiliki konsumsi daya relatif rendah sehingga sesuai untuk operasional pemantauan berkelanjutan pada lingkungan data center. Kontribusi penelitian ini terletak pada perancangan dan evaluasi sistem early warning kebakaran berbasis IoT yang tidak hanya berfokus pada implementasi perangkat, tetapi juga pada analisis performa sistem secara menyeluruh.
Real-time intelligent virtual assistant based on retrieval augmented generation Arthana, I Ketut Resika; Dewi, Ni Putu Novita Puspa; Saskara, Gede Arna Jude; Pradnyana, I Made Ardwi; Indrayani, Luh
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 15, No 1: February 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v15.i1.pp237-246

Abstract

Improving user experience in accessing information on organizational websites remains a challenge. Users often face complex navigation and multi step searches that slow information retrieval. This study introduces the real time intelligent virtual assistant (RIVA), which integrates large language models (LLMs) with the retrieval-augmented generation (RAG) framework to support real-time interaction with website content. The system was implemented on the Universitas Pendidikan Ganesha (Undiksha) website using a WordPress content management system (CMS) and developed following the design science research (DSR) approach, which includes six stages: problem identification, solution objectives, design and development, demonstration, evaluation, and communication. The retrieval-augmented generation assessment (RAGAS) evaluation indicated that the combined model of text-embedding-ada-002 and semantic chunking yielded the best results, with context precision=0.83, context recall=0.90, response relevancy=0.91, faithfulness=0.83, and answer correctness=0.85. User experience questionnaire (UEQ) testing performed well, particularly in the novelty and stimulation dimensions. These results demonstrate that RIVA can provide users with access to relevant and engaging information. As a result, future research will focus on improving retrieval and developing adaptive semantic chunking for structured and complex data.
Co-Authors ., Anak Agung Istri Pradnya Utham ., Dewa Ayu Andita Sari Garjita ., Gede Bagus Sukawirya ., Gede Bayu Pratama ., I Dewa Putu Adi Pranayoga ., I Gde Aditya Wicaksana ., I Gede Sudarma ., I Made Agus Oka Wijaya ., I Made Dwi Indrasanjaya ., I Made Lasmana Wijaya ., I Made Windu Segara ., I Wayan Dedy Budiarta ., Ida Ayu Ratnasari Kemenuh ., Isna Mildayanti ., Ketut Adi Ardipa Sutrisna ., Made Astradanta ., Putu Krisnayani ., Putu Mardiyasa Adi Saputra ., Putu Virgo Sastrawan ., Riftika Rizawanti A. A. Istri Ita Paramitha A.A Istri Dewi Adhi Utami Agung Ayu Hanna Cahyani Agus Seputra I Ketut Anak Agung Istri Pradnya Utham . antari, kadek widya Arisandi, Ni Made Desi Aryadi, Made Waradiana Aryasih, Putu Putri Cahyadi, Made Windu Cahyani, Agung Ayu Hanna Darma, Nyoman Trisna Adi Desak Putu Yulita Kurniati Dessy Seri Wahyuni Detut Indra S. A. N. Detut Indra S. A. N., Detut Indra Devi, Kadek Jeny Femila Devi, Made Diah Arista Dewa Ayu Andita Sari Garjita . Dewa Ayu Puteri Handayani Dewa Ayu Putu Ari Widhiani Dewa Dewa Gede Firstia Wirabrata Dewa Gede Hendra Divayana, Dewa Gede Hendra Dewa Nyoman Suartama Ariawan Dewi, Chandra Dewi, Ni Putu Novita Puspa Dharma, Kadek Yuda Dika Prasetya, I Putu Dwi Maya Sari Dwi Maya Sari, Dwi Maya Ella Silviasasmi erawati, ni wayan erna Gde Ari Kusuma Gde Ari Kusuma, Gde Ari Gede Aditra Pradnyana Gede Arna Jude Saskara Gede Bagus Sukawirya . Gede Bayu Pratama . Gede Beny Indrawan Gede Rasben Dantes Gede Saindra Santyadiputra Gede Saindra Santyadiputra Gede Saindra Santyadiputra, Gede Saindra Gede Saindra Santyadiputra, S.T., M.Cs . Hanna Cahyani, Agung Ayu I Dewa Putu Adi Pranayoga . I Gde Aditya Wicaksana . I Gede Agus Pebriana I Gede Astawan I Gede Mahendra Darmawiguna I Gede Margunayasa I Gede Pande Yogianto Sutanaya I Gede Sudarma . I Gede Widya Raharja I Gusti Ayu Agung Diatri Indradewi I Gusti Bagus Hari Sastrawan I Kadek Dede Permana I Kadek Dede Permana, I Kadek Dede I Kadek Juniastha I Kadek Rai Suwena I Made Agus Oka Wijaya . I Made Agus Wirawan I Made Ardwi Pradnyana I Made Dwi Indrasanjaya . I Made Edy Listartha I Made Gede Sunarya I Made Lasmana Wijaya . I Made Leo Suandinatha I Made Purwa Nugraha . I Made Purwa Nugraha ., I Made Purwa Nugraha I Made Putrama I Made Windu Segara . I Nyoman Laba Jayanta I Nyoman Tri Anindia Putra I Putu Dika Prasetya I PUTU PASEK SURYAWAN I Putu Wijaya Merta I Wayan Dedy Budiarta . I Wayan Eka Arta Wibawa I Wayan Eka Arta Wibawa, I Wayan Eka Arta I Wayan Gede Kesuma Dana . I Wayan Gede Kesuma Dana ., I Wayan Gede Kesuma Dana I Wayan Putu Adi Wiguna Ida Ayu Asritya Utami Ida Ayu Asritya Utami, Ida Ayu Asritya Ida Ayu Ratnasari Kemenuh . Isna Mildayanti . Jeny Femila Devi, Kadek Juniastha, I Kadek Kadek Angga Wira Prayudi Kadek Angga Wira Prayudi, Kadek Angga Wira Kadek Eva Krishna Adnyani Kadek Jeny Femila Devi Kadek Krisna kadek widya antari Kadek Yoga Wira Putra Kadek Yota Ernanda Aryanto Kadek Yuda Dharma Ketut Adi Ardipa Sutrisna . Ketut Agustini Ketut Purnamawan Ketut Purnamawan Komang Aditya Pratama Komang Aditya Pratama Komang Setemen Komang Trya Chandra Resmawan . Komang Wisnu Adi Putra Komang Wisnu Adi Putra, Komang Wisnu Adi Krisna Sedana, Ngakan Made Kusuma, Thadeo Angga Leo Suandinatha, I Made Luh Ayu Tirtayani Luh Joni Erawati Dewi Luh Putu Eka Damayanthi, Luh Putu Eka M.Cs ., Gede Saindra Santyadiputra, S.T., M.Cs M.Cs S.Kom I Made Agus Wirawan . M.Pd. S.Pd. Luh Indrayani . Made Astradanta . Made Windu Antara Kesiman Made Windu Cahyadi Made Yudana Putra Made Yudana Putra, Made Yudana Mandiasa, Putu Natha, Teddy Wirahardi Natha, Teddy Wirahardi Nengah Widya Utami Ni Ketut Catur Wahyu Puspitawati Ni Komang Arie Suwastini Ni Made Desi Arisandi Ni Made Rai Wisudariani Ni Nyoman Sugihartini Ni Putu Tina Resdiana ni wayan erna erawati Ni Wayan Marti Ni Wayan Surya Mahayanti Nice Maylani Asril Nikova, Kartika Nyoman Ari Dwismara Putra Nyoman Ari Dwismara Putra, Nyoman Ari Nyoman Dantes Nyoman Dini Andiani Nyoman Jaya Wardhana Nyoman Putri Rustrini Nyoman Putri Rustrini Nyoman Putri Rustrini, Nyoman Putri Nyoman Trisna Adi Darma Padma Nyoman Crisnapati Padma Nyoman Crisnapati Pebriana, I Gede Agus Putra, Decky Pratama Putra, I Kadek Dwi Gitayana Putu Hendra Suputra Putu Krisnayani . Putu Mardiyasa Adi Saputra . Putu Nanci Riastini Putu Putri Aryasih Putu Virgo Sastrawan . Putu Yudia Pratiwi Raharja, I Gede Widya Resmiantini, Ni Luh Riftika Rizawanti . S.Pd. ., Putu Ari Dharmayanti, S.Pd. Saindra Santyadiputra, Gede Saputra, Made Hendra Yudha Saputra, Made Hendra Yudha Sedana, Ngakan Made Krisna Sindu, I Gede Partha Suputera, I Dewa Nyoman Mastri Sutanaya, I Gede Pande Yogianto Thadeo Angga Kusuma UNDIKSHA . Utami, Nengah Widya Wahyuni, Luh Putu Ari Sri Wardhana, Nyoman Jaya Widhiani, Dewa Ayu Putu Ari Widiantika, Made Widyasari, Ni Putu Anisa Marta Wiguna, I Wayan Putu Adi Wijaya Merta, I Putu Wijaya, I Nyoman Saputra Wahyu Wirabrata, Dewa Gede Firstia Yoga Wira Putra, Kadek Yuliyana, Tifani