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All Journal International Journal of Advances in Applied Sciences IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Jurnal Pendidikan Fisika Undiksha Jurnal Pendidikan Teknologi dan Kejuruan Prosiding Seminar Nasional MIPA Wahana Matematika dan Sains Jurnal Sains dan Teknologi Jurnal Simetris Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Sistem dan Informatika Mimbar Pendidikan: Jurnal Indonesia untuk Kajian Pendidikan KLIK (Kumpulan jurnaL Ilmu Komputer) (e-Journal) Sinkron : Jurnal dan Penelitian Teknik Informatika JUTIK : Jurnal Teknologi Informasi dan Komputer JITK (Jurnal Ilmu Pengetahuan dan Komputer) JOURNAL OF APPLIED INFORMATICS AND COMPUTING PROCESSOR Jurnal Ilmiah Sistem Informasi, Teknologi Informasi dan Sistem Komputer SINTECH (Science and Information Technology) Journal Jurnal Teknik Informatika UNIKA Santo Thomas Jurnal Serambi Engineering Jurnal RESISTOR (Rekayasa Sistem Komputer) International Journal of Community Service Learning Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Riset Informatika Jurnal Ilmiah Sinus Jurnal Teknologi Informasi dan Pendidikan Jurnal Mantik Jurnal Teknologi Informasi dan Terapan (J-TIT) JURNAL ILMU KOMPUTER INDONESIA Jurnal Teknologi Informasi dan Multimedia Bali Medika Jurnal Indonesian Journal of Electrical Engineering and Computer Science INFOKUM Journal of Computer Networks, Architecture and High Performance Computing Jurnal Teknik Informatika (JUTIF) J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Info Sains : Informatika dan Sains Jurnal Teknik Informatika Unika Santo Thomas (JTIUST) Malcom: Indonesian Journal of Machine Learning and Computer Science INOVTEK Polbeng - Seri Informatika
I Gede Aris Gunadi
Universitas Pendidikan Ganesha
Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Nursing Physics Public Health Social Sciences Other

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A Review: Proses Konversi Energi, Tantangan dan Peluang Pemanfaatan Energi Matahari Sebagai Alternatif Energi Terbarukan Gunadi, I Gede Aris; Dewi Oktofa Rachmawati; Sonia Dewi Parna.T; Bella Eka Wahyuningtias; Ni ketut Lisa Maheni
Wahana Matematika dan Sains: Jurnal Matematika, Sains, dan Pembelajarannya Vol. 18 No. 3 (2024): Desember 2024
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/wms.v18i3.90888

Abstract

Kebutuhan energi dari masa ke masa pada kehidupan manusia adalah merupakan keniscayaan selalu meningkat. Hal ini linear dengan pertumbuhan penduduk. Pada bagian lain sumber energi semakin terbatas. Dalam beberapa waktu kedepan dipastikan akan terjadi krisis energi, karena sumber daya alam yang menyediakan energi akan habis. Sangat penting untuk mengembangkan sumber energi terbarukan. Salah satu sumebr energi tersebut adalah energi matahari. Salah satu keunggulan energi matahari adalah yang tidak akan habis. Bagi Negara yang berada di daerah katulistiwa sepanjang tahun akan dapat memanfaatkan energi matahari. Tulisan ini mereview tentang hal yang terkait dengan pemanfaatan energi matahari terutama sekali terkait teknologi fotovoltaik dan implementasinya. Hal yang terkait dengan pemanfaatan energi matahari adalah proses konversi energi matahari, tantangan serta peluang pengembangan. Energi Matahari adalah salah satu sumber energi yang potensial, namun saat ini secara biaya masih tinggi dan effesiensi masih sangat rendah. Hal ini menjadi tantangan pengembangan kedepannya. Kata Kunci : konversi energi, energi matahari, efisiensi, sel surya
Pelatihan dan Pendampingan Pembuatan Media Simulasi Praktikum IPA SMP dengan Program Simulasi Phet Sujanem, Rai; Sutarno, Erwan; Aris Gunadi, I Gede
International Journal of Community Service Learning Vol. 3 No. 1 (2019): February 2019
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (585.979 KB) | DOI: 10.23887/ijcsl.v3i1.17485

Abstract

Tujuan kegiatan pelatihan ini adalah sebagai berikut. 1) Meningkatkan pengetahuan dan keterampilan guru-guru IPA SMP untuk membuat media simulasi praktikum IPA dengan program PhET. 2) Guru-guru IPA SMP dapat mengimplementasikan media simulasi praktikum IPA dengan program PhET dalam proses pembelajaran IPA. Peserta pelatihan adalah guru-guru IPA SMPN 1 Sukasada, SMP Negeri 1, 2, 3, 4, 5 Singaraja, dan SMP Lab Undiksha Singaraja. Jumlah peserta adalah 15 orang. Prosedur kegiatannya melalui pelatihan dan pendampingan pembuatan media simulasi praktikum IPA dengan program PhET. Hasil pelatihan menunjukkan bahwa 1) peserta pelatihan telah memiliki pengetahuan dan keterampilan untuk membuat media simulasi praktikum IPA dengan program PhET, 2) peserta pelatihan dapat mengimplementasikan  media simulasi praktikum IPA dengan program PhET dalam pembelajaran di kelas. Berdasarkan uraian ini, dapat disimpulkan bahwa para peserta pelatihan telah dapat membuat media simulasi praktikum IPA dengan program PhET dan dapat mengimplementasikan dalam pembelajaran IPA di kelas
Analysis of User Satisfaction with E-Learning Services During the Covid-19 Pandemic Using the PIECES Framework Cipta, I Putu Agus Eka Yatna; Kesiman, Made Windu Antara; Gunadi, I Gede Aris
Journal of Computer Networks, Architecture and High Performance Computing Vol. 5 No. 2 (2023): Article Research Volume 5 Issue 2, July 2023
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v5i2.2557

Abstract

During the Covid-19 pandemic, the education sector has been able to provide assistance for the continuation of the learning process through e-Learning services. E-Learning is an online-based learning and teaching process that utilizes information technology services. E-Learning is specially designed by the institution and integrated with academic progress data to offer the best support to students who have become increasingly familiar with information technology during the pandemic, addressing its limitations. The objective of this research is to measure user satisfaction with the e-Learning service using the PIECES framework. The PIECES framework consists of Performance, Information/data, Control/security, Efficiency, and Service categories. The PIECES framework is employed for analyzing the information system and consists of six variables: performance, information, economic, control, efficiency, and services. Data was collected through questionnaires distributed to 368 students from different graduation years, spanning from 2018 to 2021, who are users of the e-Learning service. Based on the gathered data analysis, the average satisfaction levels for each variable are as follows: performance scored 3.75, information scored 3.82, economic scored 3.84, control scored 3.74, efficiency scored 3.7, and services scored 3.84. Combining these values and referencing Kaplan and Norton, it can be concluded that the overall user satisfaction level with e-Learning falls into the satisfied category
Performance Comparison of the Combination of Smarter-Fuzzy and Smarter-Fuzzy-Topsis Methods on the accuracy of the PPA Scholarship Acceptance Decision Support System Wardana, I Komang Tri Edi; Sunarya, I Made Gede; Gunadi, I Gede Aris
Journal of Computer Networks, Architecture and High Performance Computing Vol. 6 No. 1 (2024): Article Research Volume 6 Issue 1, January 2024
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v6i1.3081

Abstract

The PPA Scholarship is a scholarship intended for students who excel, are active in campus activities, and are economically disadvantaged in accordance with predetermined conditions. Currently, STAHN MPU Kuturan Singaraja in calculations often takes a long time, causing delays from the predetermined schedule and less accurate results. Based on this, it is necessary to develop a Decision Support System that can provide recommendations for prospective PPA scholarship recipients. There are 6 criteria being used, including: GPA, semester, credits, charter/certificate, assignment letter, and parent's income. In this study, comparing the performance of the combination of the Smarter-Fuzzy and Smarter-Fuzzy-Topsis methods through testing using the confusion matrix method. Smarter method is used to be able to give weighting criteria with ROC technique. The Fuzzy method is used to convert the criteria values ??for each alternative from 0 to 1. The Topsis method is used to rank. The ranking results of the combination Smarter-Fuzzy method show an accuracy rate of 86.6%, and the combination of the Smarter-Fuzzy-Topsis method of 75.5%.
Forecasting Jumlah Pasien DBD di BRSUD Kabupaten Tabanan Menggunakan Metode Regresi Linier Made Wahyu Aditya; Sukajaya, I N; Gunadi, I Gede Aris
Bali Medika Jurnal Vol 10 No 1 (2023): Bali Medika Jurnal Vol 10 No 1 Juli 2023
Publisher : Stikes Wira Medika Bali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36376/bmj.v10i1.290

Abstract

Penelitian ini bertujuan untuk mengetahui prediksi kasus DBD dengan pengaruh faktor iklim terhadap penyakit DBD di BRSUD Kabupaten Tabanan. Analisis prediksi dalam penelitian ini menggunakan metode Regresi Linier. Forecasting merupakan pengetahuan tentang memprediksi kejadian dimasa depan dengan menggunakan data lampau. DBD merupakan penyakit menular yang diakibatkan oleh nyamuk pembawa virus Dengue, Berdasarkan data Kemenkes tahun 2020 terdapat 95.893 kasus dengan 661 kasus diantaranya meninggal dunia.. Evaluasi akurasi peramalan menggunakan MAPE dan RMSE . Penelitian ini menghasilkan model Regresi Linier VDBD = 0.492 - 0.124VCH + 0.032 VSU + 0.254 VKU Hasil uji data training dari model yang digunakan untuk memprediksi dengan hasil MAPE 19% dengan katagori Baik, nilai RMSE sebesar 0.156 dan hasil uji data test dari model yang digunakan untuk memprediksi dengan hasil MAPE 35% dengan katagori Wajar, dan nilai RMSE sebesar 0.252. dengan adanya hasil prediksi yang akurat diharapkan manajemen BRSUD Kabupaten Tabanan dapat meningkatkan mutu pelayanan rumah sakit.   This study aims to determine the prediction of DHF cases with the influence of climate factors on DHF at the Tabanan District Public Hospital. Prediction analysis in this study using the Linear regression method. Forecasting is the knowledge of predicting future events using past data. DHF is an infectious disease caused by mosquitoes carrying the Dengue virus. Based on data from the Ministry of Health in 2020 there were 95,893 cases with 661 cases of them dying.. Evaluation of forecasting accuracy using MAPE and RMSE. This study produced a linear regression model VDBD = 0.492 - 0.124VCH + 0.032 VSU + 0.254 VKU. The results of the training data test from the model used to predict with MAPE results of 19% in the Good category, RMSE value of 0.156 and test data results from the model used to predict with a 35% MAPE result with a Fair category, and an RMSE value of 0.252. with accurate prediction results, it is hoped that the management of the Tabanan Regency BRSUD can improve the quality of hospital services.
Analisis Penerimaan Sistem Digitalisasi Museum Bali Berbasis VT360° Menggunakan Metode MDLC & TAM Arditaloka, I Wayan Angga; Aris Gunadi, I Gede; Indrawan, Gede
Jurnal PROCESSOR Vol 20 No 1 (2025): Jurnal Processor
Publisher : LPPM Universitas Dinamika Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33998/processor.2025.20.1.1837

Abstract

Central Statistics Agency (BPS). Museum Bali has also experienced a decline in visits, especially from local tourists, the management has tried to stimulate public interest through making events that are expected to be able to introduce the museum to the public, but these efforts have not resulted in an increase in visits, on the contrary, the number of visits has decreased. The impact of the decline in visits to Museum Bali is very pronounced, it is not uncommon for not even a single domestic tourist to come in a day. The design of this application aims to bring Museum Bali closer to the younger generation through a virtual tour based on interactive multimedia applications. The research method used in the development of the application being built is the Multimedia Development Life Cycle (MDLC) method using the Technology Acceptance Model (TAM) in analysing the acceptance of the application. In developing this 360° virtual tour application. This study uses 80 data samples obtained from calculations using the Solvin formula. The results showed that 80% of respondents were satisfied and accepted the application that had been designed. The results of convergent validity testing have an average value of 0.79, with an AVE value above 0.50. Composite reliability and Cronbach's Alpha were found to be greater than 0.7 so that the TAM testing of this application falls into the strong category. Keywords: MDLC; TAM; Museum; Virtual Tour; Tourism;
Comparison of Random Forest and Support Vector Machine Methods in Sentiment Analysis of Student Satisfaction Questionnaire Comments at ITB STIKOM Bali Sidik, Purnama; I Made Gede Sunarya; I Gede Aris Gunadi
Journal of Applied Informatics and Computing Vol. 9 No. 3 (2025): June 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i3.9617

Abstract

ITB STIKOM Bali is one of the higher education institutions in Bali that focuses on academic activities, particularly in the field of Information Technology. To maintain its educational quality, the Quality Assurance Department collaborates with the Center for Information and Communication (Puskom) to distribute a student satisfaction questionnaire at the end of each semester. In evaluating student satisfaction with campus facilities, the comment section is one of the key indicators, featuring the question: “Based on your experience, please describe which AAK services you found disappointing and in need of improvement.” This study compares the performance of the Random Forest and Support Vector Machine (SVM) methods in conducting sentiment analysis on historical student satisfaction comments. The research involved several stages, including literature review, data collection, preprocessing, transformation, data mining, evaluation, and visualization. The results demonstrate strong accuracy, precision, recall, and F1-scores for both methods using an 80:20 data split. Before applying the SMOTE technique, the best result was achieved by the Support Vector Machine method with a score of 0.90, while the Random Forest method yielded an accuracy of 0.81, precision of 0.85, recall of 0.81, and F1-score of 0.76. After applying SMOTE, both methods achieved an improved and equal score of 0.90. The study also produced an excellent classification result based on the ROC curve. It is expected that this research can serve as an additional reference for the assessment of student satisfaction at ITB STIKOM Bali at the end of each academic semester.
Evaluation of Mobile Academic Information System with Notifications Using Heuristic Evaluation and WCAG-EM Nugraha, I Gede Pradipta Adi; Indrawan, Gede; Asroni, Ahmad; I Gede Aris Gunadi
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.v9i2.14675

Abstract

SIsKA-NG Mobile is a mobile information system that provides specific information related to students’ study activities in the Computer Science Study Program at Universitas Pendidikan Ganesha. This newly developed application has never been evaluated. Therefore, it is necessary to evaluate the accessibility and interface for improvement. This study focuses on the analysis related to the application accessibility of partial color blindness users, using the WCAG-EM method and the heuristic evaluation method. Based on the accessibility evaluation results on the first development, it was found that SIsKA-NG mobile did not fully meet the standards of the mobile application, while based on the results of the heuristic evaluation, it was found 24 problems, where 8 problems with the highest severity rating (Catastrophic), 7 problems with high priority (Major), and others related to low priority (Minor) problems and insignificant problems. The subsequent development to enhance the quality of the interface and accessibility of SIsKA-NG Mobile used those findings as a reference so that this application can meet the needs of all users more effectively and inclusively.
Analisis Kualitas Sangraian Biji Kopi Berdasarkan Ekstraksi Fitur Bentuk Dan Glcm pramana, i gede pramana ade saputra; Gunadi, I Gede Aris; Sunarya, I Made Gede
Jurnal Teknik Informatika UNIKA Santo Thomas Vol 8 No. 1 : Tahun 2023
Publisher : LPPM UNIKA Santo Thomas

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

Abstract

This study aims to develop a digital image analysis system that can determine the quality and maturity level of roasted coffee beans, in terms of detecting roasted coffee beans that are suitable and unfit for consumption and sold as specialty coffee as contained in the standard coffee bean classification. provided by SNI No. 01-2907-1999. This study focuses on the physical changes of coffee beans after the roasting process, changes that affect in terms of quality, namely shape. Shape extraction uses Metric because the shape to be searched for is a circle shape, and texture extraction uses Gray Level Co-Occurrence Matric (GLCM). This research began by collecting data in the form of 2D digital images of roasted coffee beans. The system developed in this study consisted of two main stages, namely training and testing. The number of coffee bean image data used is 90 images. In analyzing the quality of coffee beans, the data used is an image of coffee beans which consists of two levels, that is good and bad beans. Classification using Naive Bayes algorithm. Based on the results of research on coffee bean quality analysis, the highest training accuracy was 88% and the highest test accuracy was 90%.
Analisis Kualitas Sangraian Biji Kopi Berdasarkan Ekstraksi Fitur Bentuk Dan Glcm pramana, i gede pramana ade saputra; Gunadi, I Gede Aris; Sunarya, I Made Gede
Jurnal Teknik Informatika UNIKA Santo Thomas Vol 8 No. 1 : Tahun 2023
Publisher : LPPM UNIKA Santo Thomas

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

Abstract

This study aims to develop a digital image analysis system that can determine the quality and maturity level of roasted coffee beans, in terms of detecting roasted coffee beans that are suitable and unfit for consumption and sold as specialty coffee as contained in the standard coffee bean classification. provided by SNI No. 01-2907-1999. This study focuses on the physical changes of coffee beans after the roasting process, changes that affect in terms of quality, namely shape. Shape extraction uses Metric because the shape to be searched for is a circle shape, and texture extraction uses Gray Level Co-Occurrence Matric (GLCM). This research began by collecting data in the form of 2D digital images of roasted coffee beans. The system developed in this study consisted of two main stages, namely training and testing. The number of coffee bean image data used is 90 images. In analyzing the quality of coffee beans, the data used is an image of coffee beans which consists of two levels, that is good and bad beans. Classification using Naive Bayes algorithm. Based on the results of research on coffee bean quality analysis, the highest training accuracy was 88% and the highest test accuracy was 90%.
Co-Authors ., Ketut Suma ., Putu Sonia Virgawati Pratiwi Adi Sista, Dewa Nyoman Agus Ariwanta, I Putu Yesha Agus Gunawan Agus Harjoko Agus Harjoko Agus Harjoko Ahmad Asroni Ahmad Asroni, Ahmad Anandita, Ida Bagus Gede Andiny T T Arditaloka, I Wayan Angga Ariasa, Komang Ariyani, Putu Wendy Artama, Made Bella Eka Wahyuningtias Cipta, I Putu Agus Eka Yatna Cokorda Oka Birawidya David Juli Ariyadi Dewa Gede Hendra Divayana, Dewa Gede Hendra Dewi Oktofa Rachmawati Dharmana, I Wayan Diatmika, I Ketut Agus Indra Dinata, I Made Anom Mahartha Erlangga, Anak Agung Gde Wahyu Sukma Fauzi, Muhammad Rizki Galih Cahyaningsih, Agung Ukki Gede Indrawan Hajrin, M. Heryanto, I Wayan Agus I Ketut Paramarta I Made Candiasa I Made Gede Sunarya I Made Pradipta I Nyoman Sukajaya I Nyoman Wahyu Semeru Putra I Putu Agus Eka Yatna Cipta I Putu Aris Sanjaya I Putu Aris Sanjaya, I Putu Aris I Putu Dody Suarnatha I Putu Putra Damana I Wayan Agus Heryanto I Wayan Gede Suweca Antara I Wayan Pio Pratama I Wayan Rosiana I Wayan Sadia I Wayan Santyasa I Wayan Sukra Ida Ayu Mirah Cahya Dewi Jana Satvika, Gd. Aditya Kadek Yota Ernanda Aryanto Ketut Suma Ketut Suma . Ketut Suma . Komang Ariasa Komang Setemen Luh Joni Erawati Dewi Luh Putu Budi Yasmini Luh Rumni Oktaria M. Hajrin M.Cs S.Kom I Made Agus Wirawan . Made Artama Made Wahyu Aditya Arta Made Windu Antara Kesiman Made Windu Segara Mahendra, I Gusti Agung Putu Matius Ivan Bimasena Mimin Yeli Sholekah Moh. Heri Setiawan MS Prof. Dr. Ketut Suma . N Dinda Maharani Ni ketut Lisa Maheni Ni Komang Rai Mirayanti NI LUH PUTU MANIK WIDIYANTI Ni Made Yeni Dwi Rahayu Ni Putu Eka Apriyanthi Nugraha, I Gede Pradipta Adi Nugraha, I Gusti Agung Satria Oktaria, Luh Rumni Pathni, Ida Ayu Wisma Anggaritha pramana, i gede pramana ade saputra Prof. Dr. Ketut Suma, MS . Putra, I Kadek Nurcahyo Putra, I Made Arya Adinata Dwija Putra, I Nyoman Wahyu Semeru Putra, I Putu Arya Putu Eka Parianthana Putu Sonia Virgawati Pratiwi . Rai Sujanem Risha, Nurfa Sandhiyasa, I Made Subrata Saputri, Ni Kadek Tesya Ari Sariyasa Sariyasa Sariyasa Sariyasa Sawitri D U Segara, Made Windu Sidik, Purnama Sisilia Fhelly Djun Sonia Dewi Parna.T Sri Hartati Suputra, I Putu Arsana Suryawan, I Made Yuda Sutarno, Erwan Sutarno, Erwan Suweca Antara, I Wayan Gede T, Andiny T U, Sawitri D Wardana, I Komang Tri Edi Wayan Eka Ariawan Yogi Duwi Antara