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Perancangan Fitur Surat Menyurat untuk Sistem Informasi Administrasi Desa Citarsa, Ida Bagus Satrya Masyana; Pramartha, Cokorda; Rahayuda, I Gede Surya
Jurnal Pengabdian Informatika Vol. 4 No. 1 (2025): JUPITA Volume 4 Nomor 1, November 2025
Publisher : Jurusan Informatika, Fakultas Matematika dan Ilmu Pengetahuan Alam, Universitas Udayana

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

Abstract

Pengelolaan administrasi surat-menyurat di tingkat desa hingga kini masih banyak dilakukan secara manual, baik dalam proses pembuatan, pencetakan, hingga pengarsipan dokumen. Kondisi ini sering menyebabkan keterlambatan pelayanan, duplikasi data, serta risiko kehilangan atau kerusakan terhadap dokumen yang penting, sehingga berdampak pada rendahnya efisiensi pelayanan publik dalam bidang administrasi. Menyikapi permasalahan tersebut, tim pelaksana bekerja sama dengan PT. Djingga Media Teknokreatif untuk merancang sebuah sistem informasi administrasi desa berbasis website yang bertujuan untuk mendigitalisasi proses administrasi desa secara menyeluruh. Sistem ini dirancang untuk memfasilitasi pembuatan surat secara otomatis melalui template, penyimpanan arsip dalam basis data terpusat dan aman, serta pelacakan status surat secara real-time. Dengan adanya sistem ini, diharapkan perangkat desa dapat meningkatkan kualitas pelayanan kepada masyarakat, mengurangi potensi kesalahan administrasi, mempercepat proses kerja, serta memperkuat transparansi dan akuntabilitas dalam tata kelola dokumen desa. Perancangan ini merupakan langkah awal yang strategis menuju implementasi sistem informasi yang lebih modern, efisien, terintegrasi, dan adaptif terhadap kebutuhan administrasi masyarakat desa yang terus berkembang di era digital saat ini.
Designing and evaluating a community-based digital dictionary system for the Balinese language: An IT innovation adoption study Pramartha, Cokorda; Purnama, Madek Jeani; Sarasvananda, Ida Bagus Gede; Arka, I Wayan; Watiniasih, Ni Luh
International Journal of Electrical and Computer Engineering (IJECE) Vol 16, No 3: June 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v16i3.pp1369-1381

Abstract

Regional and vulnerable languages increasingly depend on digital tools to remain visible and usable in everyday life, yet many dictionary initiatives are described mainly in terms of content or interface features rather than evaluated as information-system innovations. This paper presents an exploratory design science study of a community-based Balinese digital dictionary that supports bidirectional Balinese-Indonesian lookup, Latin and Balinese Unicode script, speech-level information, part-of-speech tagging, related-word search, and role-based contribution workflows. The platform is implemented as a web-based system with a three-tier architecture and relational database. To evaluate adoption readiness, 40 users completed representative tasks and then responded to an adapted Moore and Benbasat IT innovation adoption instrument covering seven constructs. The results show high ease of use, relative advantage, and compatibility, indicating strong functional value and fit with user routines. Image and visibility are moderate, while result demonstrability and visibility show lower reliability and are therefore interpreted as exploratory indicators. The study contributes both a documented digital-dictionary artefact for Balinese language support and a reusable evaluation approach for other early-stage community-facing information and communication technology (ICT) systems. The findings suggest that wider uptake depends not only on technical quality, but also on institutional visibility, outreach, and continued content enrichment.
Klasifikasi Nuansa Emosi Film Berdasarkan Sinopsis Menggunakan Logistic Regression Skye Kanahaya Endrawan; Cokorda Pramartha
Jurnal Nasional Teknologi Informasi dan Aplikasinya Vol. 4 No. 3 (2026): JNATIA Vol. 4, No. 3, Mei 2026
Publisher : Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JNATIA.2026.v04.i03.p13

Abstract

With the rapid development of digital era, movie industry has consider to be a dominant form of entertainment. However, with thousands of movies released every year, audiences often face difficulties selecting movies based on their emotional preferences. This study proposes a classification approach to determine the emotional nuance of movies (happy, sad, tense) based on their synopsis. The dataset used in this study was sourced from Kaggle with 676.491 entries and labeled using a DistilBERT pre-trained emotion detection model from Hugging Face. After mapping the labeled entries and undersampling, 6.600 balanced samples were used. Following preprocessing and data splitting, TF-IDF text representation and Logistic Regression model were applied. The model achieved 76% accuracy on validation data and improved to 83% on test data, with macro F1-scores reflecting consistent performance across all classes. These results suggest that movie synopses contain sufficient emotional signals to be automatically classified using a lightweight and effective machine learning approach.
Sistem Deteksi Tingkat Konsentrasi Berbasis Sensor Fisiologis Menggunakan Metode Certainty Factor Firman Fadilah; Cokorda Pramartha
Jurnal Nasional Teknologi Informasi dan Aplikasinya Vol. 4 No. 3 (2026): JNATIA Vol. 4, No. 3, Mei 2026
Publisher : Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JNATIA.2026.v04.i03.p14

Abstract

Concentration is a crucial mental focus ability that significantly impacts learning effectiveness and work productivity. Decreased concentration levels can be caused by various factors such as fatigue, stress, environmental disturbances, or specific psychological conditions. Poor concentration affects performance quality and task completion efficiency. Therefore, early detection of concentration levels can help optimize learning processes and improve overall performance. This research designs a concentration level detection system based on physiological sensors using DS18B20 temperature sensor to read body temperature data, pulse sensor to measure heart rate, and GSR sensor to monitor skin conductivity levels. These three physiological parameters serve as inputs for concentration level detection using the certainty factor method with output concentration levels consisting of highly focused, normally focused, less focused, and unfocused. The system design employs System Development Life Cycle (SDLC) Waterfall model approach encompassing requirement analysis, system design, and testing methodology. The system is designed to provide real-time concentration level detection based on physiological parameter changes during cognitive activities. This research produces a system design that serves as a foundation for developing concentration monitoring tools in various applications.
Co-Authors -, Viencent Adu, Enga Prinda Agus Muliantara Anak Agung Yoga Aditya Putra Ananda Puja Cahyani, Ni Luh Gede Andrayuga Mardhayiska, I Made Ari Mogi, I Komang Arka, I Wayan Atmaja, I Dewa Made Bayu Citarsa, Ida Bagus Satrya Masyana Dewi, Ni Wayan Sani Utari Fahmi Ahmad Arum Pratama Firman Fadilah Ganeswara, Putu Ryan Genaldy Septianto Mbuik Gita, Ni Nyoman Sukma Prasetyadewi Hairul, Hairullah Hangralim, Ryan Harta, I Gede Bendesa Aria I Gede Aditya Mahardika Pratama I Gede Arta Wibawa I Gede Surya Rahayuda I Gusti Agung Gede Arya Kadyanan I Gusti Anom Cahyadi Putra I Gusti Ngurah Anom Cahyadi Putra I Kadek Agus Chandra Pradika I Kadek Ari Surya I Kadek Bisma Yoga I Ketut Gede Suhartana I Ketut Gede Udha Krisna Yasa I Made Agus Widiana Putra I Made Wardana I Made Widhi Wirawan I Wayan Supriana I Wayan Wijaya Kusuma Sandi I. W. Arka I. W. Supriana I.G.N.A.C. Putra Ida Bagus Ary Indra Iswara Ida Bagus Gede Dwidasmara Ida Bagus Gede Sarasvananda Ida Bagus Made Mahendra IGNAC Putra Indrayasa, I Wayan Gede IPGH Suputra Irianto Koten IW Arka Jayadi, I Putu Indie Surya Koten, Irianto Liko kresnawan, Lanang Ary Kusuma, I Made Cantiawan Giri Luh Arida Ayu Rahning Putri Mbuik, Genaldy Septianto Ngakan Nyoman Kutha Krisnawijaya Ngurah Agus Sanjaya ER Ni Luh Watiniasih Ni Made Yuli Cahyani Ni Putu Sri Harta Mimba Palguna, I Wayan Gede Adi Purnama, Madek Jeani Putra, Ida Ayu Gde Suwiprabayanti Putu Audi Pasuatmadi Putu Bayu Baskara Raharja, Made Agung Siddarta, Wahyu Skye Kanahaya Endrawan Surya, I Nyoman Dheva Suryana, Kadek Andre Sutanegara, Made Dimas Dwi Wahyu Ananta, I Gede Ngurah Wati, Ni Putu Sintia Wibawa, Putu Widyantara Artanta Widiatmika, I Putu Agus Wahyu Wijaya, Wahyu Septian Windayani, Ni Wayan Wiraputri, Ni Putu Sri Agnita Samyami