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Pengembangan Media Pembelajaran Berbasis Flash Mata Pelajaran Sistem Pengapian Bagi Siswa Smk Kadir, Ach. Khalil; Dewi, Luh Joni Erawati; Nugraha, I Nyoman Pasek
Jurnal Pendidikan Teknik Mesin Undiksha Vol. 11 No. 1 (2023)
Publisher : UNIVERSITAS PENDIDIKAN GANESHA

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

Abstract

Penelitian ini bertujuan untuk, 1) Untuk mengetahui pengembangan media pembelajaran adobe flash cs6 pada Mata Pelajaran Sistem Pengapian bagi siswa SMK. 2)                    Untuk mengetahui tingkat kelayakan media pembelajaran adobe flash cs6 Mata Pelajaran Pemeliharaan Kelistrikan Materi Sistem Pengapian. Merujuk pada pernyataan tersebut peneliti mengangkat penelitian dengan menggunakan jenis penelitian Research and Developnent (R&D), model penelitian pengembangan 4-D (Four-D Model), yang terdiri dari 4 tahapan diantaranya tahap pendefinisian (define), tahap perancangan (design), tahap pengembangan (development), dan tahap penyebaran (deseminate). Hasil dari penelitian ini yaitu 1) memahami pengembangan media pembelajaran adobe flash cs6 Mata Pelajaran Pemeliharaan Kelistrikan sepeda Motor bagi siswa SMK. 2) mengetahui tingkat kelayakan media pembelajaran adobe flash cs6  dengan data respon yang diberikan ahli materi berdasarkan persentase didapatkan hasil untuk media pembelajaran adobe flash cs6 yaitu 88,33% dengan kriteria sangat baik, respon yang diberikan ahli media berdasarkan persentase didapatkan hasil untuk media pembelajaran adobe flash cs6 yaitu 82,5% dengan kriteria baik, dan hasil uji coba kelompok kecil dengan jumlah siswa 10 orang dengan nilai 90% dengan kriteria sangat baik, dan kelompok besar 87,72% dengan kriteria sangat baik. Hasil temuan tersebut menunjukkan bahwa media adobe flash cs6 sangat layak/sangat baik digunakan sebagai media pembelajaran dari segi materi dan segi media. Kata Kunci     : Media Pembelajaran; Pengembangan Adobe Flash CS6.
Analisis Keberterimaan dan Kesuksesan Peralihan Sistem SIAKAD Cloud Universitas Ngurah Rai Menggunakan Model Technology Acceptance Model (TAM) dan Delone & Mclean Putu Gede Rizky Raditya Librawan; I Made Candiasa; Luh Joni Erawati Dewi
CESS (Journal of Computer Engineering, System and Science) Vol. 10 No. 1 (2025): Januari 2025
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/cess.v10i1.65927

Abstract

Penelitian ini membahas evaluasi SIAKAD Cloud Universitas Ngurah Rai (UNR) yang diterapkan pada tahun 2022, menggantikan sistem SUNARI (Sistem Informasi Unggulan Universitas Ngurah Rai). Dalam implementasinya, SIAKAD Cloud UNR memiliki beberapa kendala termasuk proses migrasi data, adaptasi pengguna yang terbiasa dengan sistem lama, serta kurangnya evaluasi dan informasi mengenai kepuasan pengguna serta kualitas sistem. Penelitian ini menggunakan kombinasi model keberterimaan dan kesuksesan Technology Acceptance Model (TAM) dan SI Delone & Mclean dengan 6 variabel yaitu Percieved Usefulness, Percieved Ease of Use, System Quality, Information Quality, User Satisfaction, Net Benefit. Populasi dalam penelitian ini adalah Dosen dan Mahasiswa Universitas Ngurah Rai sebanyak 2698 orang Selanjutnya, dengan rumus Slovin dapat ditentukan sampel dalam penelitian ini sebanyak 100 orang yang dipilih menggunakan teknik proportional stratified random sampling. Metode penelitian yang digunakan kuantitatif dengan analisis menggunakan statistik PLS-SEM. Hasil menunjukkan bahwa Percieved Usefulness rata-rata sebesar 70,83 dan Percieved Ease of Use rata-rata 65,00 termasuk kategori cukup. Sementara itu, System Quality rata-rata 89,07, Information Quality rata-rata 86,64, User Satisfaction rata-rata 85,48 dan Net Benefit rata-rata 85,68 berada pada kategori baik. Hasil analisis jalur Percieved Usefulness, Percieved Ease of Use, System Quality dan Information Quality berpengaruh positif signifikan terhadap User Satisfaction, serta User Satisfaction berpengaruh positif signifikan terhadap Net Benefit.
PENDEKATAN MLP DALAM KLASIFIKASI BAHASA ISYARAT: ANALISIS JARAK EUCLIDEAN LANDMARK TANGAN Sugiantari, Kadek Feny; Suputra, Putu Hendra; Dewi, Luh Joni Erawati; Putra, Gede Bakti Pratama
Jurnal Informatika Vol 9, No 2 (2025): JIKA (Jurnal Informatika)
Publisher : University of Muhammadiyah Tangerang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31000/jika.v9i2.13368

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Perkembangan teknologi Computer Vision dalam Kecerdasan Buatan (AI) mendorong inovasi teknologi yang inklusif dalam komunikasi bagi penyandang disabilitas, seperti tunarungu dan tunawicara. Penelitian ini mengembangkan model klasifikasi bahasa isyarat angka SIBI, khususnya angka 0-9 yang menggunakan jarak Euclidean antar landmark tangan sebagai fitur. Proses penelitian mencakup pengumpulan data, ekstraksi landmark tangan dengan Mediapipe, ekstraksi fitur jarak Euclidean, pelatihan model dengan Multi Layer Perceptron, evaluasi, dan implementasi real-time. Hasil penelitian menunjukkan model berhasil mengklasifikasikan pose angka 0-9 dan non-pose, dengan akurasi 87.17% dan penerapan threshold pada tahap evaluasi serta implementasi real-time untuk memastikan semua input data terklasifikasi dengan tingkat kepercayaan tinggi. Hasil penelitian ini dapat menunjang proses pembelajaran bahasa isyarat SIBI bagi penyandang disabilitas.
Utilizing Mobile Applications for 21st-Century Learning and Digital Preservation of Balinese Script Asroni, Ahmad; Putu Ade Pranata; Gede Indrawan; Luh Joni Erawati Dewi; Daniel Kevin Alexander
Sinkron : jurnal dan penelitian teknik informatika Vol. 9 No. 2 (2025): Research Articles April 2025
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v9i2.14676

Abstract

Balinese Script and other inheritance local languages are facing extinction signalment since their use has already been replaced by their national languages, which are simpler and more practical. Bali province has already had governor regulations to preserve this local wisdom through many efforts in Bali, including conducting compulsory local content subject Balinese language (covering Balinese Script) from primary to high school, requiring institution's nameplates to be written in Balinese Script along with different languages, etc. This collaborative study, a joint effort between language and computer science, has exposed the technological side of support for preservation efforts. Through the mobile application from a smartphone, this study revealed the advantage of using this proposed Information Technology application for 21st-century learning of Balinese Script, including paperless material to conduct green-and-sustainable-oriented learning and efficiency to grab knowledge in real-time related to the transliteration and translation aspects from Latin text input. That effort was considered the main contribution to this research area.
Usability evaluation of ToAksara as Balinese script learning mobile application Indrawan, Gede; Sariyasa, Sariyasa; Dewi, Luh Joni Erawati; Gitakarma, Made Santo; Gunawan, I Made Agus Oka; Pranata, Putu Ade
International Journal of Advances in Applied Sciences Vol 14, No 2: June 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijaas.v14.i2.pp490-501

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ToAksara application transliterates Latin text into Balinese script and has been used in high school teaching and learning activities in Buleleng Regency, Bali, Indonesia. This application was expected to provide comfort and satisfaction for students while learning the Balinese language and script. To measure the comfort and satisfaction level, a usability evaluation was carried out that focused on the application's end user. This research used a combination of concurrent think-aloud (CTA) and user experience questionnaire (UEQ) to evaluate ToAksara. In CTA, data collection involved nine respondents given a task scenario and expressing their problems or input. In UEQ, data collection involved 385 respondents who chose the value closest to their impression of 26 statements. Based on the analysis results, CTA produced several recommendations for improving the application regarding navigation, functionality, and errors. Based on the analysis, the user satisfaction results showed that all aspects were included in the excellent category. The aspects of attractiveness, perspicuity, efficiency, dependability, stimulation, and novelty each produced a value of 2.144, 2.220, 2.385, 2.345, 2.139, and 2.101. The excellent category shows that ToAksara was included in the range of the top 10% of products compared to the UEQ benchmark.
Application of Bagging Ensemble Learning on Naïve Bayes Algorithm to Predict Coronary Heart Disease Nugraha, I Gusti Agung Satria; Gunadi, I Gede Aris; Dewi, Luh Joni Erawati
Jurnal Teknologi Informasi dan Pendidikan Vol. 18 No. 2 (2025): Jurnal Teknologi Informasi dan Pendidikan
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jtip.v18i2.981

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Cardiovascular health is vital, with heart disease, particularly Coronary Heart Disease (CHD), being a significant health concern in Indonesia. The 2023 Indonesian Health Survey reported 877,531 cases of heart disease. Traditional CHD diagnosis is often costly and invasive. Therefore, machine learning-based classification has emerged as a promising alternative for enhancing the accuracy and efficiency of detection. This study aims to predict CHD using a hybrid approach combining the Naïve Bayes algorithm with the Bagging ensemble method. Naïve Bayes was selected for its computational efficiency and effectiveness with high-dimensional data, while Bagging was employed to mitigate its inherent weaknesses by reducing variance and increasing prediction stability. The CRISP-DM methodology was applied to a secondary dataset of 462 rows from Kaggle. The research process included data preprocessing, method implementation, and evaluation using a confusion matrix. Results show the Bagging method with n=2 estimators achieved optimal performance, with 76.34% accuracy, 65.00% precision, and an f1-score of 70.27%. This study demonstrates that ensemble techniques can effectively improve the accuracy and stability of CHD prediction models, offering a reliable and low-cost solution for initial screening.
ToLatin application acceptability evaluation to support Balinese script transliteration learning Dewi, Luh Joni Erawati; Indrawan, Gede; Gunawan, I Made Agus Oka; Sutaya, I Wayan; Sariyasa, Sariyasa
International Journal of Advances in Applied Sciences Vol 14, No 3: September 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijaas.v14.i3.pp804-816

Abstract

This work supported Indonesia's research focus area on information and communication technology (ICT) content improvement for information data on various forms of local wisdom. As one of the various forms of local wisdom, the Balinese script was supported by the ToLatin application that transliterates Balinese script into Latin text. It has been used to support Balinese script learning at the high school level in Buleleng Regency, Bali, Indonesia. To determine the acceptability of this application, which had not been studied before, a user acceptance evaluation was conducted using a combination of acceptance variables from the technology acceptance model (TAM) and success variables from DeLone & McLean. This study used a quantitative method with data collection through questionnaires from 385 respondents. The data analysis used the importance-performance analysis (IPA) method through suitability, gap, and quadrant analyses. The study results indicated that the acceptability of ToLatin could be more optimal. The suitability analysis revealed an average score of 87.91%, indicating the need for improvement in system quality, particularly the innovative indicator (SysQ3), based on the quadrant analysis. The gap analysis revealed an average score of -0.54 from 7 acceptance variables, indicating the need to improve system performance to meet user expectations.
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

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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.
Developing the Interface of HaoSpace Mood Tracking Application Using Design Thinking Saraswati, Desak Putu Mahadewi; Seputra, Ketut Agus; Dewi, Luh Joni Erawati
Journal of Information System Research (JOSH) Vol 7 No 1 (2025): October 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v7i1.8365

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Mental health problems, particularly mood disorders, remain a major concern among adolescents and young adults, as they can affect academic performance, social interactions, and emotional well-being. Despite growing awareness, many adolescents still lack accessible tools to effectively monitor and manage their moods. The objective of this research is to design and develop a prototype of a mood tracking application called “HaoSpace” to address this gap. The research employed the Design Thinking methodology, which emphasizes a user-centered approach and involves five stages: empathize, define, ideate, prototype, and test, with participants consisting of students, workers, and a psychology expert. The resulting prototype includes features such as journaling, reminders, daily reports, and interactive visualizations in the form of graphs and mood-based calendars to facilitate self-monitoring and reflection. User testing showed positive responses regarding navigation, interface design, and feature relevance, while the psychology expert assessed the prototype as a feasible tool for self-reflection and emotional regulation among adolescents and young adults. In conclusion, HaoSpace demonstrates potential as a digital intervention to enhance mood awareness and promote mental well-being among adolescents and young adults.
STRATEGIC INFORMATION SYSTEMS PLANNING USING THE WARD AND PEPPARD METHOD (A CASE STUDY OF KOPERASI DAUH AYU) Biantara, I Gede Dody Okta; Divayana, Dewa Gede Hendra; Dewi, Luh Joni Erawati
Journal of Computer Networks, Architecture and High Performance Computing Vol. 7 No. 4 (2025): Articles Research October 2025
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v7i4.6876

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 Koperasi Dauh Ayu requires a formally articulated IS/IT strategy to overcome fragmented, manual operations and move toward an integrated, member-centric model. This case study applies the Ward and Peppard framework to diagnose business and IS/IT conditions, using PEST, Porter’s Five Forces, value chain, technology trend scanning, and SWOT with quantitative IFAS–EFAS scoring from six expert respondents. The cooperative is positioned in Quadrant I of the SWOT map with coordinates X = 0.309 and Y = 0.397, indicating an aggressive strategy space where internal strengths can be leveraged to seize external opportunities. The study produces a prioritized portfolio of fourteen applications mapped with the McFarlan Grid, alongside an IT strategy for network, hardware, and platform modernization, and an IS/IT management strategy that establishes a dedicated ICT unit and governance mechanisms. Recommended initiatives are expected to reduce cycle times and error incidence, consolidate a single source of truth for member and financial data, and elevate service quality. The contribution extends the application of Ward and Peppard to the cooperative sector in Indonesia, a context less examined than large enterprises, and shows how staged capability building can translate environmental enablers into realized digital benefits. Limitations include a single-case design without post-implementation measurement; future work should pilot priority systems and evaluate pre–post performance and cost–benefit outcomes.
Co-Authors A. A. Gede Yudhi Paramartha Agus Gunawan Agus Seputra I Ketut Ahmad Asroni Ahmad Asroni, Ahmad Ariana, I Wayan Arunika, Ketut Biantara, I Gede Dody Okta Daniel Kevin Alexander Dewa Gede Hendra Divayana, Dewa Gede Hendra Dharmana, I Wayan Dwipayana, I Gusti Made Surya Dwipayana, Made Krisna Gede Arya Ardivan Pratama Saputra Gede Beny Indrawan Gede Indrawan Gede Rasben Dantes Handayani Putri, Dwi Prima I Gede Aris Gunadi I Gede Eka Artha Putra I Gede Krishna Adi I Gusti Andiani Octavia I Gusti Lanang Agung Andrayuga I Gusti Putu Yada Giri I Ketut Paramarta I Ketut Purnamawan I Ketut Purnamawan I Ketut Purnamawan I Ketut Resika Arthana I Made Agus Oka Gunawan I Made Candiasa I Made Gede Sunarya I Made Suryana Dwipa I Nyoman Pasek Nugraha I Nyoman Saputra Wahyu Wijaya Indrawan, Gede Beny Junaedi, Gede Tomi Kadek Rihendra Dantes Kadek Yota Ernanda Aryanto Kadir, Ach. Khalil Komang Setemen M.T. S.T. I Wayan Sutaya . Made Santo Gitakarma Meiliana, Komang Gita Ni Ketut Opayanti Ni Wayan Marti Nugraha, I Gede Pradipta Adi Nugraha, I Gusti Agung Satria Ony Andewi, Putu Pradiktha, Wisnu Dwijaya Pranata, Putu Ade PRIMAYUDI, IDA BAGUS KETUT KARISMA Putra, Gede Bakti Pratama Putra, I Gede Eka Artha Putra, I Nyoman Gede Ardi Yana Putri, Kadek Utari Darma Putu Ade Pranata Putu Gede Rizky Raditya Librawan Putu Haryaka Setadewa Putu Hendra Suputra Randi Wirdana, I Gede Richo, Rolando Alex Sanjaya, I Gede Ary Suta Saraswati, Desak Putu Mahadewi Sari, Gusti Ayu Gita Mulya Sariyasa . Sugiantari, Kadek Feny Tamayasa, Kadek Agus Wedatama, Made Restu Wisnu Dwijaya Pradiktha Yasa, I Kadek Purnama