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PROTOTYPE APLIKASI MOBILE PRESERVASI WARISAN BUDAYA INDONESIA BERBASIS CROWDSOURCING Arthana, I Ketut Resika; Pradnyana, Gede Aditra; Pradnyana, I Made Ardwi
JST (Jurnal Sains dan Teknologi) Vol. 7 No. 1 (2018)
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (657.726 KB) | DOI: 10.23887/jstundiksha.v7i1.11924

Abstract

Setiap daerah memiliki ciri khas budaya masing-masing seperti rumah adat, bahasa, pakaian, peralatan, bangunan, karya seni dan lain sebagainya. Setiap budaya memiliki filosofi yang bisa digunakan sebagai panutan hidup. Oleh karena itu, sangat penting untuk mendokumentasikan dan menyebarkan informasi budaya secara luas sehingga generasi muda memiliki pengetahuan terhadap budaya di Indonesia. Tantangan besarnya adalah bagaimana mengumpulkan dan mendokumentasi informasi budaya serta mengemasnya dalam bentuk menarik sehingga masyarakat lebih mudah dan tertarik untuk mempelajari budaya Indonesia. Perkembangan teknologi internet dan perangkat mobile yang sangat pesat. Penetrasi internet dan perangkat mobile sangat tinggi di masyarakat. Sebagian besar masyarakat memiliki perangkat mobile dan internet. Keberadaan teknologi tersebut bisa dimanfaatkan untuk  mendukung dokumentasi dan penyebaran informasi budaya Indonesia. Teknologi pendukung seperti LBS(Location Based Service) bisa dimanfaatkan untuk menentukan lokasi objek budaya yang ada. Tantangan utama dalam pengembangan sistem preservasi budaya ini adalah sumber dan kualitas konten. Untuk menghadapi tantangan tersebut, maka diterapkan konsep crowdsourcing untuk menyumbangkan dan menilai kualitas konten. Disamping dari masyarakat luas, potensi sumber konten budaya juga dari mahasiswa yang mengembangkan konten pembelajaran sebagai tugas akhir/ kerja praktik. Untuk itu maka pada penelitian ini dikembangkan aplikasi mobile untuk preservasi warisan budaya di Indonesia yang disebut dengan aplikasi WADAYA. Tahapan penelitian ini menggunakan ADDIE (Analyze, Design, Developmet, Implementation dan Evalution).  Tahap Analyze dilakukan dengan cara studi literatur dan observasi untuk mendapatkan daftar kebutuhan fungsional dan non fungsional. Selanjutnya pada tahapan Design dilakukan perancangan desain user interface, arsitektur dan infrastruktur sehingga menghasilkan prototype aplikasi mobile. Setelah itu pada tahapan Development dikembangkan prototype aplikasi Pada tahun kedua, prototype dikembangkan menjadi aplikasi mobile. Implementasi dilakukan pengisian konten. Konten tidak hanya berupa teks tetapi juga multimedia, virtual reality dan game.
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.
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 Agung Ayu Hanna Cahyani Agus Seputra I Ketut Anak Agung Istri Pradnya Utham . antari, kadek widya Arisandi, Ni Made Desi 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 Gede Hendra Divayana, Dewa Gede Hendra Dewa Nyoman Suartama Ariawan Dewi, Chandra 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 Mahendra Darmawiguna 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 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 Putu Dika Prasetya 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 . Made Astradanta . Made Windu Antara Kesiman Made Windu Cahyadi Made Yudana Putra Made Yudana Putra, Made Yudana Natha, Teddy Wirahardi Natha, Teddy Wirahardi Nengah Widya Utami Ni Ketut Catur Wahyu Puspitawati Ni Komang Arie Suwastini Ni Made Desi Arisandi 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, I Kadek Dwi Gitayana Putu Krisnayani . Putu Mardiyasa Adi Saputra . Putu Putri Aryasih Putu Virgo Sastrawan . Putu Yudia Pratiwi Raharja, I Gede Widya Resmiantini, Ni Luh Riftika Rizawanti . 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