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All Journal Jurnal Sains dan Teknologi Sinkron : Jurnal dan Penelitian Teknik Informatika SINTECH (Science and Information Technology) Journal Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) Jurnal Mantik Journal of Intelligent Decision Support System (IDSS) ANALISIS - SCIENTIFIC JOURNAL OF ECONOMICS, MANAGEMENT, BUSINESS, AND ACCOUNTING Indonesian Journal of Data and Science Journal of Computer Networks, Architecture and High Performance Computing Jurnal WIDYA LAKSMI (Jurnal Pengabdian Kepada Masyarakat) Prosiding Seminar Nasional Sisfotek (Sistem Informasi dan Teknologi Informasi) Jurnal Krisnadana Jurnal Krisnadana Aspirasi : Publikasi Hasil Pengabdian dan Kegiatan Masyarakat KOMET
Atmaja, Ketut Jaya
Institut Bisnis Dan Teknologi Indonesia
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Environmental Science Languange, Linguistic, Communication & Media Mathematics Public Health Social Sciences Other

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Pengembangan Website Profil Dusun untuk Mendukung Pembangunan Desa yang Informatif dan Terintegrasi Radhitya, Made Leo; Atmaja, Ketut Jaya; Wijaya, Bagus Kusuma; Asana, I Made Dwi Putra; Sudipa, I Gede Iwan; Gunawan, I Komang Agus Bryan
Jurnal KOMET Vol 2 No 1 (2025): Jurnal Komet: Kolaborasi Masyarakat Berbasis Teknologi : Volume 2 Nomor 1, Juni 2
Publisher : Yayasan Sinergi Widya Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70103/komet.v2i1.63

Abstract

Keterbatasan akses terhadap informasi dan minimnya transparansi dalam penyampaian kegiatan sosial serta struktur organisasi di tingkat komunitas masih menjadi tantangan bagi banyak lingkungan masyarakat. Salah satu solusi yang dapat diterapkan untuk mengatasi masalah tersebut adalah melalui pengembangan website profil komunitas berbasis Content Management System (CMS) yang mudah diakses dan dikelola. Kegiatan pengabdian ini bertujuan untuk meningkatkan transparansi, memperkuat partisipasi masyarakat, dan mendigitalisasi pengelolaan informasi komunitas melalui pembuatan dan pemanfaatan website. Metode pelaksanaan dilakukan melalui pendekatan Transfer Knowledge, Technology Transfer, dan Difusi IPTEKS, yang meliputi pelatihan kepada pengurus dan masyarakat, pembuatan konten, dan pendampingan teknis. Website dirancang dengan fitur-fitur utama seperti informasi profil, dokumentasi kegiatan, pengumuman penting, layanan pengurus, dan fasilitas kontak masyarakat. Hasil kegiatan menunjukkan bahwa keberadaan website mampu meningkatkan efisiensi komunikasi, memperluas jangkauan informasi, serta membangun budaya digital yang partisipatif di kalangan warga. Sosialisasi dan pengenalan website mendapat antusiasme tinggi dari masyarakat, dengan banyaknya masukan yang konstruktif mengenai kebutuhan informasi yang relevan. Dengan demikian, platform digital ini menjadi sarana strategis untuk mendukung tata kelola komunitas yang lebih transparan, informatif, dan adaptif terhadap perkembangan teknologi.
PENGEMBANGAN SISTEM EVALUASI KINERJA DOSEN (E-KUESIONER) STMIK STIKOM INDONESIA Atmaja, Ketut Jaya; Wahyu Wijaya, I Nyoman Saputra
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 (2286.542 KB) | DOI: 10.23887/jstundiksha.v8i1.17290

Abstract

E-Kuesioner selama ini telah digunakan untuk mengetahui penilaian dari setiap dosen yang mengampu mata kuliah. Dari segi sistem, pemrosesan informasi dilakukan pada koding PHP, hal ini seharusnya bisa dimaksimalkan dengan melakukan transaksi pada basis data. Untuk kuesioner, dosen belum diberikan history mengenai penilaian dari mahasiswa. Hal tersebut mengakibatkan dosen tidak dapat mengetahui apakah cara mengajar yang diberikan mengalami peningkatan atau penurunan. Tentunya dosen tidak dapat mengetahui metode pengajaran mana yang memberikan hasil lebih maksimal. Selain itu belum adanya kuesioner untuk dosen pembimbing Kerja Praktik dan Tugas Akhir. Hal tersebut menyebabkan tidak adanya tolak ukur yang digunakan untuk mengetahui bagaimana kinerja dosen pembimbing dalam membimbing mahasiswa. Hasil penelitian yang dilakukan, sistem e-kuesioner telah ditambahkan fitur penilaian KP dan TA. Selain itu telah dilakukan optimasi sistem dengan optimasi dalam pemrosesan database. Penambahan view dilakukan sehingga mendapatkan waktu eksekusi yang lebih cepat dibantingkan tanpa menggunakan view.
Comparison of Automation Testing On Card Printer Project Using Playwright And Selenium Tools Melyawati, Ni Luh Putu; Asana, I Made Dwi Putra; Putri, Ni Wayan Suardiati; Atmaja, Ketut Jaya; Sudipa, I Gede Iwan
Journal of Computer Networks, Architecture and High Performance Computing Vol. 6 No. 3 (2024): Articles Research Volume 6 Issue 3, July 2024
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v6i3.4362

Abstract

The quality of the software is greatly determined by the testing phase, which involves various test cases that can be conducted through manual testing and automation testing. Manual testing is performed manually without using automation scripts, whereas automation testing is conducted using automation scripts. ABC is a company that operates globally in the field of access control, with the Card Printer being one of the menus used in access control. In the development process of this software, both manual and automation testing phases are carried out. The automation testing process employs the Selenium tool, which has proven to be time-consuming and poses challenges when running numerous test cases. This research aims to develop automation testing using Playwright to address the long execution time issue encountered with Selenium. The research utilizes the Card Printer project in the development of automation testing and adopts the Agile methodology. The result of developing automation testing using Playwright was successfully applied to 12 test cases. Additionally, the time analysis between Playwright and Selenium showed that Playwright has a total execution time of 4.9 minutes, which is faster compared to Selenium's total execution time of 8.3 minutes. With faster execution times, Playwright can be considered a tool in the development of automation testing.
Naïve Bayes-based Student Graduation Prediction Model: Effectiveness and Implementation to Improve Timely Graduation Atmaja, Ketut Jaya; Indrawan, I Putu Yoga; Asana, I Made Dwi Putra; Wawan, I Kadek; Udayanie, Ayu Gde Chrisna
Journal of Computer Networks, Architecture and High Performance Computing Vol. 6 No. 3 (2024): Articles Research Volume 6 Issue 3, July 2024
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v6i3.4408

Abstract

Studies in an educational institution, when the lack of timely graduation of students in each batch and the number of students in each batch, causes an imbalance between incoming students and outgoing students and causes a decrease in accreditation from the campus, this should not continue to happen, the solution to dealing with this problem as an early detection of students who graduate on time is to predict the length of the student study period they have. Therefore, researchers will discuss the design of a prediction system for graduating on time using the Naïve Bayes method, to predict student graduation so that there is no imbalance of incoming and outgoing students. The construction of this system also uses the Naïve Bayes method and the CRISP-DM (Cross Industry Standard Process Data Mining) development method. In this case study, the Naïve Bayes method predicts data into 2, namely 1 (graduated on time) and 0 (did not graduate on time) by labeling the data used. In this model using 3247 data with the selection of features, namely semester achievement index 1 (ips1), ips2, ips3, ips4, ips5, semester credit units1 (credits1), credits2, credits3, credits4, credits5, semester credit units not passed 1 (skstidaklulus1), skstidaklulus2, skstidaklulus3, skstidaklulus4, skstidaklulus5 and labels. Using these feature variables results in model performance with 80% accuracy, with 80% accuracy it can be said that the model works well.
Pendampingan Instagram Marketing dalam Membangun Ketrampilan Pemasaran Digital dan Brand Awareness Produk UMKM Suandana, Ni Putu Widantari; Aditama, Putu Wirayudi; Sandhiyasa, I Made Subrata; Prabhawa , I Kadek Angga Surya; Atmaja, Ketut Jaya; Sarasvananda , Ida Bagus Gde; Anandita, Ida Bagus Gede
Jurnal KOMET Vol 1 No 1 (2024): Jurnal Komet: Kolaborasi Masyarakat Berbasis Teknologi : Volume 1 Nomor 1, Juni 2
Publisher : Yayasan Sinergi Widya Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70103/komet.v1i1.11

Abstract

UMKM di Desa Geluntung, Bali memiliki produk unggulan contohnya produk keripik, meskipun populer secara lokal, menghadapi tantangan dalam memanfaatkan Instagram untuk memperluas jangkauan pasar dan meningkatkan brand awareness. Keterbatasan pengetahuan digital, manajemen konten yang kurang efektif, pemanfaatan fitur Instagram yang tidak optimal, dan pengukuran performa yang lemah adalah beberapa tantangan utama yang dihadapi. Untuk mengatasi masalah ini, kegiatan pelatihan dan pendampingan dalam pemasaran digital melalui Instagram dilakukan. Metode pelaksanaan meliputi pengaturan profil bisnis, pembuatan konten yang menarik, pemanfaatan fitur-fitur Instagram seperti Stories dan Highlights, serta analisis data melalui Instagram Insights. Hasil kegiatan menunjukkan peningkatan pemahaman dan keterampilan digital, serta peningkatan engagement dan brand awareness produk UMKM.
Decision Model for Best Contraceptive Technique Recommendation Based on Patient's Ideal Profile Hugo, Veronika Novia; Sudipa, I Gede Iwan; Libraeni, Luh Gede Bevi; Pratistha, Indra; Atmaja, Ketut Jaya
Sinkron : jurnal dan penelitian teknik informatika Vol. 10 No. 1 (2026): Article Research January 2026
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v10i1.15377

Abstract

Choosing the right contraceptive method is essential to support the success of family planning programs. Many patients still choose methods without considering their medical conditions, which can lead to failure or side effects. This study designed a decision-making model based on Profile Matching to recommend contraceptive methods according to the patient’s ideal profile. The dataset was obtained from Faskes Level 1 Udayana Denpasar. Validation was conducted through discussions with midwives as experts, referring to the KLOP KB Wheel as the standard issued by the WHO. The evaluation results show a high level of agreement between the model’s recommendations and expert judgments, indicating that the model provides more objective and easily understood recommendations compared to manual approaches.
Fuzzy Time Series Chen Model for Dual-Commodity Agricultural Forecasting: Evidence from Indonesia’s Rice and Corn Production Wiguna, I Kadek Artha; Sudipa, I Gede Iwan; Meinarni, Ni Putu Suci; Atmaja, Ketut Jaya; Ekayana, Anak Agung Gede
Sinkron : jurnal dan penelitian teknik informatika Vol. 10 No. 1 (2026): Article Research January 2026
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v10i1.15584

Abstract

Indonesia's strategic food commodities, particularly rice and corn, exhibit strong seasonal fluctuations and irregular production shocks driven by climate anomalies and policy changes, generating nonlinear time-series patterns that conventional statistical models often fail to capture. This study evaluates the forecasting capability of the standard Chen Fuzzy Time Series (FTS) model for dual-commodity agricultural data under varying seasonal and anomaly conditions. Monthly production data from January 2021 to March 2025 from the Indonesian Central Bureau of Statistics (BPS) were processed through a complete FTS pipeline: universe-of-discourse construction, triangular membership function design, fuzzification, FLR and FLRG formation, and midpoint-based defuzzification. Forecast accuracy was assessed using MAE, MSE, RMSE, MAPE, and R², with residual distribution analysis, Shapiro-Wilk tests, and scatter plots conducted to validate model stability. The model achieved high precision with overall MAPE of 4.37% for rice and 8.12% for corn, both classified as Highly Accurate. Monthly accuracy revealed consistent stability during May-December, while transitional months (January-March) showed greater variability due to extreme anomalies such as the January 2024 production collapse. Residual analysis confirmed near-normal error distribution for rice (p = 0.062) and mild deviation for corn (p = 0.031), while scatter plots demonstrated strong linear relationships (Rice R² = 0.9876; Corn R² = 0.9654). The findings establish Chen's FTS as a transparent and operationally reliable baseline method for national food production forecasting, although its sensitivity to structural breaks highlights the need for future hybridization with climate and policy indicators.
Sentiment Analysis of Student Comments on Facilities and Infrastructure at Instiki Using Retrieval Augmented Generation Ni Putu Juliana Dewi; I Kadek Dwi Gandika Supartha; I Putu Yoga Indrawan; Ketut Jaya Atmaja
Indonesian Journal of Data and Science Vol. 6 No. 3 (2025): Indonesian Journal of Data and Science
Publisher : yocto brain

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56705/ijodas.v6i3.377

Abstract

This research was conducted to analyze the sentiment of student comments on infrastructure facilities at the Indonesian Institute of Business and Technology (INSTIKI) to overcome the problem of comment analysis that was previously done manually. The data used is in the form of student comments in 2024. The method used in this study is Retrieval Augmented Generation (RAG) with data labeling using Lexicon-Based. The test was carried out on three Large Language Models (LLMs), namely indobenchmark/indobert-base-p1, TinyLlama/TinyLlama-1.1B-Chat-v1.0, and w11wo/indonesian-roberta-base-sentiment-classifier. The test results showed that the indobenchmark/indobert-base-p1 model produced the highest accuracy of 80% in both test sessions compared to other models. The TinyLlama/TinyLlama-1.1B-Chat-v1.0 model produced 60% accuracy in session 1 and 65% in session 2, while the w11wo/indonesian-roberta-base-sentiment-classifier model produced 60% accuracy in both test sessions. The difference in the performance of these three LLMs shows that the model's understanding of Indonesian can affect the results of sentiment predictions.
Co-Authors Anandita, Ida Bagus Gede Asana, I Made Dwi Putra Ceryna Dewi, Ni Kadek Dirgayusari, Ayu Manik Ekayana, Anak Agung Gede Gunawan, I Komang Agus Bryan Hugo, Veronika Novia I Dewa Made Krishna Muku I Gede Adnyana I Gede Iwan Sudipa I Gusti Agung Indrawan I Kadek Agus Bisena I Kadek Dwi Gandika Supartha I Komang Arya Ganda Wiguna I Made Deni Kurniadi I Made Dwi Putra Asana I Made Dwi Putra Asana I Made Oka Widyantara I Nyoman Saputra Wahyu Wijaya I Nyoman Tri Anindia Putra I Putu Anjas Sanjaya I Putu Noven Hartawan I Putu Yoga Indrawan I Wayan Dharma Suryawan I Wayan Krishna Sangging Wiguna Ida Bagus Nyoman Pascima Indra Pratistha Ketut Sepdyana Kartini Libraeni, Luh Gede Bevi Meinarni, Ni Putu Suci Melyawati, Ni Luh Putu Ni Kade Ayu Nirwana Ni Kadek Ceryna Dewi Ni Komang Ayu Suandaniasih Ni Luh Wiwik Sri Rahayu Ginantra Ni Made Mila Rosa Desmayani, Ni Made Mila Rosa Ni Putu Juliana Dewi Ni Putu Sri Widiani Ni Putu Widantari Suandana Ni Wayan Suardiati Putri Nirwana, Ni Kade Ayu Prabhawa , I Kadek Angga Surya Pramita, Dewa Ayu Kadek Putra, I Putu Satria Udyana Putu Ananda Sitarasmi Putu Gede Surya Cipta Nugraha Putu Praba Santika Putu Wirayudi Aditama Radhitya, Made Leo Sandhiyasa, I Made Subrata Sandika, I Kadek Budi Sarasvananda , Ida Bagus Gde Saraswati, Ni Wayan Sumartini Sugihya Artha Dwipayani Udayanie, Ayu Gde Chrisna Wawan, I Kadek Wiguna, I Kadek Artha Wiguna, I Made Surya Wijaya, Bagus Kusuma Willdahlia, Ayu Gede