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All Journal Indonesian Journal of Electronics and Instrumentation Systems IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Telematika : Jurnal Informatika dan Teknologi Informasi JUSIFO : Jurnal Sistem Informasi INFORMAL: Informatics Journal Proceeding of the Electrical Engineering Computer Science and Informatics Sinkron : Jurnal dan Penelitian Teknik Informatika International Journal of Artificial Intelligence Research Jurnal Teknologi Informasi dan Komputer SINTECH (Science and Information Technology) Journal Jurnal Informatika Universitas Pamulang Jiko (Jurnal Informatika dan komputer) Matrik : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Jurnal RESISTOR (Rekayasa Sistem Komputer) International Journal of Natural Science and Engineering Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) J-SAKTI (Jurnal Sains Komputer dan Informatika) IJISTECH (International Journal Of Information System & Technology) JURIKOM (Jurnal Riset Komputer) Jurnal Ilmiah Ilmu Komputer Fakultas Ilmu Komputer Universitas Al Asyariah Mandar Jurnal Mantik REMIK : Riset dan E-Jurnal Manajemen Informatika Komputer Jurnal Teknik Informatika C.I.T. Medicom Journal of Intelligent Decision Support System (IDSS) JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Journal of Computer System and Informatics (JoSYC) INFOKUM Jurnal Sistem Komputer dan Informatika (JSON) IJISTECH JINAV: Journal of Information and Visualization Journal of Technology and Informatics (JoTI) J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Info Sains : Informatika dan Sains JSIKTI (Jurnal Sistem Informasi dan Komputer Terapan Indonesia) Jurnal Multidisiplin Madani (MUDIMA) East Asian Journal of Multidisciplinary Research (EAJMR) Jurnal Pengabdian Masyarakat Indonesia (JPMI) Digital Transformation Technology (Digitech) Jurnal Ilmiah Sistem Informasi dan Ilmu Komputer Malcom: Indonesian Journal of Machine Learning and Computer Science Eduvest - Journal of Universal Studies Journal of Software Engineering and Information System (SEIS) Faedah: Jurnal Hasil Kegiatan Pengabdian Masyarakat Indonesia Bulletin of Informatics and Data Science Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen)
I Gede Iwan Sudipa
Fakultas Teknologi Dan Informatika , Program Studi Teknik Informatika, Institut Bisnis Dan Teknologi Indonesia
Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Neuroscience Social Sciences Other

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Design Thinking Testing of AR/VR Application for Bali's Lontar Prasi Preservation Christina Purnama Yanti; I Gede Iwan Sudipa; Putu Wirayudi Aditama
Jurnal Multidisiplin Madani Vol. 3 No. 9 (2023): September, 2023
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/mudima.v3i9.5744

Abstract

This study investigates the use of Design Thinking in the creation of Augmented Reality (AR) and Virtual Reality (VR) applications for the preservation of Bali's Lontar Prasi cultural heritage. As a piece of Indonesian cultural patrimony, Lontar Prasi necessitates a novel approach to its preservation in the digital age. This research identifies UI/UX issues of AR/VR applications based on user problems through the phases of Emphasis, Definition, Ideation, Prototype, and Test. Changes were made to the icon display, 3D character information, and UI positioning as a result. With an average score of 80 (Excellent) on the System Usability Scale (SUS), testing revealed a substantial improvement in user satisfaction. These results demonstrate that the Design Thinking methodology is effective for addressing UI/UX issues and enhancing the app's acceptability. In conclusion, this approach can serve as a foundation for future advancements in the preservation of cultural heritage using modern technology for digitized cultural heritage
Sistem Pengering Daun Kelor Berbasis Internet of Things dan Artificial Intteligence I wayan Sudiarsa; Putu Sugiartawan; I Gede Iwan Sudipa; Ni Made Maharianingsih; I Kadek Adiana Putra
IJEIS (Indonesian Journal of Electronics and Instrumentation Systems) Vol 13, No 2 (2023): October
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijeis.89823

Abstract

Drying Moringa leaves is needed to reduce the water content so that the Moringa leaves become fresh and can be used for the following process. Drying Moringa leaves to change the water content from 80% to 9.2% requires ideal heating conditions because the heating speed must not damage the nutritional content in the leaves. Developing an existing drying system using IoT to monitor humidity and temperature to increase the drought stability of the Moringa leaves produced. By using IoT, it is hoped that drying conditions can be watched from anywhere and recorded so that if undesirable things happen, it will be easier to track the history of the drying process that has taken place. This system is also connected to a recommendation system using an Artificial Neural Network (ANN). This system will provide recommendations for the best conditions for Moringa flour production because various external factors influence the drying of Moringa leaves. Utilization of the ANN model can recognize data patterns in seasonal time series. The results of implementing the Moringa leaf drying machine can reduce the time by 120 minutes faster than the previous tool
Sistem Pendukung Keputusan Penilaian Kinerja Tenaga Honorer Menerapkan Metode Weighted Product (WP) dan Complex Proportional Assessment (COPRAS) dengan Kombinasi Pembobotan Rank Order Centroid (ROC) Yarimani Laia; Mesran Mesran; I Gede Iwan Sudipa; Darma Setiawan Putra; Perani Rosyani; Riska Aryanti
Bulletin of Informatics and Data Science Vol 2, No 1 (2023): May 2023
Publisher : PDSI

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

Abstract

Honorary workers are someone who is appointed by a Personnel Development Officer or other officials in the government to carry out certain tasks in government agencies whose salary is paid by the APBN or APBD. The performance evaluation of honorary workers is aimed at planning the development of human resources and training and increasing the utilization of honorary workers in accordance with their duties and functions. The process of assessing the performance of honorary workers who are unfair can have an adverse effect on the honorary workers themselves. In the process of evaluating honorary staff, an efficient system is needed to see the performance results of the honorary staff, a Decision Support System is needed. The method applied in this study is the Weighted Product (WP) and Complex Proportional Assessment (COPRAS) methods applying Rank Order Centroid (ROC) weighting using these two methods, it is expected to provide effective results in evaluating honorary workers. The final results obtained in calculating the best alternative value in the calculation of the Weighted Product (WP) method, namely A4 on behalf of "Karin" with a value of Vi = 0.246 and in the calculation of the Complex Proportional Assessment method (COPRAS), namely A6 in the name of "Love" with a value of Ui = 100
Implementation of Virtual Reality Museum Lontar Prasi Bali As a Cultural Education Media Putu Wirayudi Aditama; Christina Purnama Yanti; I Gede Iwan Sudipa
Jurnal Nasional Pendidikan Teknik Informatika : JANAPATI Vol. 12 No. 3 (2023)
Publisher : Prodi Pendidikan Teknik Informatika Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/janapati.v12i3.69620

Abstract

Lontar Prasi Bali is famous for its distinctive paintings on palm leaves, a cultural heritage that must be preserved and continued. Main problem occurred because 82.5% of 189 respondents consisting of elementary school students in Denpasar Selatan stated that they did not know about Lontar Prasi Bali. The aim of collecting data from elementary school student respondents is to increase insight into Lontar Prasi and the target of this research is to introduce VR-based lontar prasi culture to children, especially elementary school students. There needs to be collaboration between culture and technology so that people understand the story and provide education about Lontar Prasi Bali, one of which is by implementing VR. The design method used is MDLC Multimedia Development Life Cycle (MDLC) which consists of concept, design, material collection, assembly, testing and distribution. The results of research using Likert scale stated that the use of VR showed that 84.75% of respondents stated Strongly Agree with the Lontar Prasi Museum Virtual Reality Application.
Analisis Data Kepuasan Pengguna Layanan E-Wallet Gopay Menggunakan Metode Naïve Bayes Classifier Algorithm I Gede Iwan Sudipa; I Made Dwi Putra Asana; Ketut Jaya Atmaja; Putu Praba Santika; Dwiki Setiawan
Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Vol 4, No 3 (2023): Edisi Juli
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/kesatria.v4i3.219

Abstract

E-Wallet or digital wallet is a digital payment instrument using electronic media as a means of payment, in this case, GoPay is one of them. To determine the satisfaction of GoPay digital wallet users in East Denpasar, this research was conducted using the Naïve Bayes Classifier Algorithm method to see how much satisfaction GoPay service users have with GoPay service itself. In collecting data, the researcher used a questionnaire as a data collection method. The data obtained is 100 data, which is divided into two types of datasets, namely training datasets, and testing datasets. The variables used for classification are 2 self-data variables, and 11 question variables based on the attributes that have been used. In determining user satisfaction in this study, researchers used the "Satisfied" class for the satisfied category, and the "Unsatisfied" class for the dissatisfied category. The results obtained from this study are 79 data predictions categorized as satisfied which have the same class as the actual data, 9 prediction data categorized as dissatisfied with the actual data, and test and score which have results AUC 0.995, CA 0.880, F1 0.900, Precision 0.949, Recall 0.880
Sistem Pendukung Keputusan Penerima Bantuan Langsung Tunai Menggunakan Metode Promethee I Nyoman Tri Anindia Putra; Ketut Sepdyana Kartini; I Gede Iwan Sudipa; Fajar Muharam; I Made Muryasa
Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Vol 4, No 2 (2023): Edisi April
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/kesatria.v4i2.179

Abstract

The economy is an important factor in human life. to meet human needs. The economic problem that is often faced by the Indonesian state is poverty. The problem of poverty is complex, so it is always a priority for the government. So far, the Indonesian government has implemented many programs to reduce child poverty, and one of them is direct cash assistance. Direct Cash Assistance is assistance provided by the government to the poor to ease the burden on society and reduce poverty. In the process of selecting people who receive direct cash assistance, they often use manual methods that result in direct cash assistance because they are not on target. To complete and simplify the process, a decision support system is needed that can make the selection process more accurate and fast. A decision support system is a system that is intended to assist decision makers by utilizing certain data and models to solve various unstructured problems. The purpose of this research is to make a decision support system using the PROMETHEE method, which is expected to help determine the priority of beneficiaries of direct cash assistance. The PROMETHEE method is used because this method is able to make better rankings and calculations based on alternatives, criteria, weight values, multi-criteria, inflow, outflow, and net flow values so as to obtain optimal and satisfying results.
Predicted demand for 3 kg LPG gas in each provinces area in Indonesia Rachmawati Novaria; Agry Alfiah; Muammar Khaddafi; Tukino Tukino; I Gede Iwan Sudipa
Jurnal Info Sains : Informatika dan Sains Vol. 14 No. 01 (2024): Informatika dan Sains , Edition January - March 2024
Publisher : SEAN Institute

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

Abstract

Predicted the demand for 3 kilograms of LPG gas in different provinces of Indonesia is crucial for assuring the provision of energy to households. By employing the Exponential Triple Smoothing (ETS) technique, this study examines demand-influencing factors and consumption patterns. By integrating historical data's levels, trends, and seasonality, ETS enables accurate and timely forecasts. The findings illustrate the predicted outcomes for the ten provinces in Indonesia that have the highest demand for 3 kilograms of LPG gas, as well as the ten provinces that have the lowest demand across all regions. All provinces' MAPE forecasting error testing results utilizing the ETS method are incorporated with an exceptionally high degree of precision, given that the error rate is 5.27%.
Co-Authors A.A. Tri Wulandari Mayun Achmad Selamat Fauzi Aditama Kadek Agry Alfiah Agus Perdana Windarto Ahmad Jurnaidi Wahidin Ahmad Jurnaidi Wahidin Ali Zainal Abidin Alaydrus Ani Nida’ia Mustafida Arianto Muditomo Asana, I Made Dwi Putra Atmaja, Ketut Jaya B. Herawan Hayadi Bagus Kusuma Wijaya Bagus Kusuma Wijaya Cakranegara, Pandu Adi Christina Purnama Yanti Christina Purnama Yanti Christina Purnama Yanti Christina Purnama Yanti Christina Purnama Yanti Christina Purnama Yanti Darma Setiawan Putra Deddy Kurniawan Desak Putu Diah Kumala Dewi Devi Valentino Waas Devi Valentino Waas Devi Valentino Waas Devi Valentino Waas Dewa Ayu Novi Swijayanti Dewantara, Rizki Dirgayusari, Ayu Manik Dwi Putra Asana Dwiki Setiawan Efendi Efendi Eka Ayu Purnama Lestari Emy Yunita Rahma Pratiwi Fajar Muharam Fajriana Fajriana Gede Surya Mahendra Gustiadi Gustiadi Hamid Wijaya Herry Rachmat Widjaja I Dewa Gede Agung Pandawana I Gede Bagastia Widi Atmaja I Gede Totok Suryawan I Gusti Made Ngurah Desnanjaya I Kadek Adiana Putra I Kadek Budi Sandika I Kadek Hardiatama I Kadek Jerry Septiawan I Kadek Surya Arimbawa I Komang Arya Ganda Wiguna I Komang Arya Ganda Wiguna I Komang Arya Ganda Wiguna I Komang Arya Ganda Wiguna I Komang Widiantara I Komang Wiratama I Komang Wiratama I Made Angga Wijaya I Made Dwi Putra Asana I Made Dwi Putra Asana I Made Muryasa I Made Subrata Sandhiyasa I Nyoman Alit Arsana I Nyoman Alit Arsana I Nyoman Alit Arsana I Nyoman Tri Anindia Putra I Nyoman Tri Anindia Putra I Nyoman Tri Anindia Putra I Nyoman Tri Anindia Putra I Nyoman Tri Anindia Putra I Putu Agus Eka Darma Udayana, I Putu Agus Eka I Putu Candra Jumariana I Putu Eka Giri Gunawan I Putu H Permana I Putu Hendika Permana I Putu Hendika Permana I Putu Hery Setiawan I Putu Yudi Pratama I Wayan Dani Pranata I Wayan Sudiarsa I Wayan Sudiarsa Ida Ayu Dwi Puspitayani Ida Bagus Ary Indra Iswara Ida Bagus Gede Sarasvananda Ida Bagus Gede Sarasvananda Ida Bagus Nyoman Pascima Indra Pratistha Iwan Adicandra Jimmy H Moedjahedy Kadek Ari Prayoga Putra Kadek Hardiatama Kadek Ngurah Adi Kusuma Ketut Jaya Atmaja Ketut Ngurah Semadi Ketut Ngurah Semadi Ketut Sepdyana Kartini Ketut Sepdyana Kartini Ketut Sepdyana Kartini Khoirun Nisa Komang Kurniawan Widiartha Komang Sri Aryati Komang Sri Aryati Laksono Trisnantoro Lalu Puji Indra Kharisma Legito . Made D W Aristana Made Dona Wahyu Aristana Made Dona Wahyu Aristana Made Dona Wahyu Arsitana Made Leo Radhitya Made Suci Ariantini Meinarni, Ni Putu Suci Mesran, Mesran Moh. Erkamim Muammar Khaddafi Muh. Fahrurrozi Mustika Wati Alfia Ningtyas N Nofirman Ni Kadek Nita Noviani Pande Ni Komang Dani Juniantari Ni Luh Putu Ayu Cintia Utami Ni Luh Wiwik Sri Rahayu Ginantra Ni Made Chintya Sasri Ni Made Maharianingsih Ni Made Maharianingsih Ni Made Sri Dadi Sukerthi Ni Made Sudiani Ni Putu Eka Kherismawati Ni Putu Yuniawati Yunia Pande Putu Sukma Awantari Perani Rosyani Pranata, I Wayan Dani Pusaka, Semerdanta Puspitayani, Ida Ayu Dwi Putu Hendra Premana Putu Praba Santika Putu Praba Santika Putu Sugiartawan PUTU SUGIARTAWAN Putu Sugiartawan Putu Sugiartawan Putu Wirayudi Aditama Putu Wirayudi Aditama Putu Wirayudi Aditama Putu Wirayudi Aditama Rachmat Rachmawati Novaria Radhitya, Made Leo Revan Dwi Hanza Rhaishudin Jafar Rumandan Rikcy Sanusi Rini Komalasari Risaldi Risaldi Riska Aryanti Rizkita Ayu Mutiarani Robbi Rahim Roni Riana Sepriano Sepriano Sri Aryati, Komang Sugihya Artha Dwipayani Susatyo Adhi Pramono, Susatyo Adhi Trinugi Wira Harjanti Tukino Tuti Marjan Fuadi Wayan Gede Suka Parwita Welda Yarimani Laia Yohana Jun