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All Journal IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Jurnal Penelitian dan Pengembangan Pendidikan Jurnal Pendidikan Teknologi dan Kejuruan INFORMAL: Informatics Journal ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika JOIV : International Journal on Informatics Visualization Sinkron : Jurnal dan Penelitian Teknik Informatika JUTIK : Jurnal Teknologi Informasi dan Komputer WIDYABHAKTI Jurnal Ilmiah Populer Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) Jurnal Ilmu Pendidikan (JIP) STKIP Kusuma Negara Jurnal Inovasi dan Teknologi Pembelajaran (JINOTEP) Kajian dan Riset Dalam Teknologi Pembelajaran Indonesian Journal of Data and Science Jurnal WIDYA LAKSMI (Jurnal Pengabdian Kepada Masyarakat) NUSANTARA: Jurnal Pengabdian Kepada Masyarakat Innovative: Journal Of Social Science Research Jurnal Riset Rumpun Ilmu Pendidikan (JURRIPEN)
Anak Agung Gde Ekayana
STMIK STIKOM Indonesia
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Public Health Social Sciences Other

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Alat Pencetak Edible Straw berbasis Mikrokontroler EKAYANA, ANAK AGUNG GDE; SANTIKA, I GEDE AGUS ARI
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 9, No 4: Published October 2021
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v9i4.952

Abstract

ABSTRAKPenggunaan plastik saat ini banyak digunakan diberbagai kegiatan masyarakat, dampak dari penggunaan plastik terlalu banyak menyebabkan polusi pada lingkungan. Penelitian ini bertujuan merancang dan membangun alat yang menghasilkan sedotan minuman dengan bahan yang ramah lingkungan, bahan yang digunakan menggunakan agar-agar rumput laut nutrijell yang aman untuk dikonsumsi. Alat pencetak sedotan dirancang menggunakan komponen elektronika, diantaranya sensor suhu DS18B20, mikrokontroler, elemen pemanas dan kipas. Tahapan dalam proses rancang bangun meliputi perancangan mekanik, material cetakan menggunakan stainless steel, perancangan sistem elektronika dan perancangan perangkat lunak. Hasil pengujian dari alat pencetak edible straw mendapatkan hasil sedotan yang bervariasi dari segi bentuk dan tekstur, pada proses kerjanya alat pencetak sedotan dapat mengatur waktu pemanas dari kisaran waktu 5 – 30 menit, sedotan tersebut dipanaskan selama 30 menit dari suhu awal dengan suhu terukur pada menit ke-30 adalah 62oC. Kata kunci: edible, sedotan, pemanas, mikrokontroler, agar-agar nutrijell  ABSTRACTThe use of plastic is currently widely used in various community activities, the impact of using too much plastic causes pollution to the environment. This study aims to design and build a device that produces drinking straws with environmentally friendly materials, the materials used are using nutrijell seaweed jelly which is safe for consumption. The straw printer is designed using electronic components, including the DS18B20 temperature sensor, microcontroller, heating element and fan. The stages in the design process include mechanical design, mold material using stainless steel, electronic system design and software design. The test results from the edible straw printer get straws that vary in terms of shape and texture, in the working process the straw printer can set the heating time from a time range of 5 - 30 minutes, the straws are heated for 30 minutes from the initial temperature with a measured temperature in minutes 30th is 62oC.Keywords: edible, straw, heater, microcontroller, nutrijell jelly
Evaluasi Kurikulum Program Sarjana Sistem Komputer Menggunakan Model CIPP Stufflebeam Ekayana, Anak Agung Gde; Ratnaya, I Gede
Jurnal Penelitian dan Pengembangan Pendidikan Vol. 6 No. 3 (2022): Oktober
Publisher : LPPM Undiksha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/jppp.v6i3.49622

Abstract

Kurikulum yang telah diterapkan pada suatu periode tertentu perlu dilakukan evaluasi untuk memonitoring dan menganalisis ketercapaian suatu program apakah terlaksana sesuai tujuan atau perlu dilakukan perbaikan. Penelitian ini bertujuan mengevaluasi kurikulum program studi sistem komputer yang dikembangkan oleh sivitas akademika Institut Bisnis dan Teknologi Indonesia. Penelitian ini memakai metode kualitatif dengan mengimplementasikan evaluasi CIPP Stufflebeam. Pendekatan implementasi evaluasi CIPP menggunakan analisis komparatif dengan membandingkan indikator kurikulum dengan standar nasional. Pengumpulan data didapatkan melalui wawancara pihak terkait dan analisis dokumen. Subjek pada penelitian ini adalah bidang akademik, koordinator program studi dan dosen sistem komputer yang semuanya berjumlah 30 responden. Simpulan yang dapat dijabarkan bahwa evaluasi kurikulum program studi sistem komputer masuk pada kategori sangat efektif. Pencapaian ini dikarenakan program studi sudah melakukan monitoring secara berkala terkait indikator pencapaian dari suatu kurikulum. Evaluasi pada setiap indikator-indikator di dalam kurikulum sistem komputer sudah memiliki target yang di evaluasi setiap semester, sehingga standar-standar yang dicanangkan oleh pemerintah pusat sudah dilaksanakan sangat efektif. Implikasi dari penelitian ini bahwa hasil evaluasi ini memberikan gambaran secara komprehensif terkait kurikulum yang telah berjalan, sehingga dapat digunakan sebagai acuan pengembangan kurikulum selanjutnya.
IMPLEMENTASI DNS SERVER MENGGUNAKAN PI-HOLE UNTUK INTERNET SEHAT DAN AMAN DI SMK PRATAMA WIDYA MANDALA BADUNG I Gede Adnyana; Anak Agung Gede Bagus Ariana; Anak Agung Gde Ekayana; Putu Risanti Iswardani; I Gede Handi Raharja
Jurnal Widya Laksmi: Jurnal Pengabdian Kepada Masyarakat Vol. 4 No. 1 (2024): Jurnal WIDYA LAKSMI (Jurnal Pengabdian Kepada Masyarakat)
Publisher : Yayasan Lavandaia Dharma Bali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59458/jwl.v4i1.71

Abstract

Internet sangat dibutuhkan oleh para siswa sebagai media untuk menunjang pembelajaran dalam menemukan informasi sebagai sumber pembelajaran. Karena informasi yang dari internet bisa didapat dengan gratis, sering kali pemilik situs memberikan iklan pada situs mereka yang tidak jarang sangat mengganggu pembaca. Melihat permasalahan tersebut maka pada penelitian yang dilakukan ini memiliki tujuan untuk membangun sebuah sistem DNS server menggunakan Pi-Hole yang mampu untuk memfilter konten negatif di dalam jaringan internet. Di dalam Pi-Hole tersebut terdapat fitur yang berguna untuk memfilterisasi konten yang terdapat di internet. Metode yang digunakan dalam penelitian ini menggunakan daftar hitam yang berisi sekumpulan domain situs-situs yang telah dikumpulkan menjadi satu yang nantinya akan digunakan sebagai pedoman untuk melakukan filtrasi. Penelitian ini dilakukan di SMK Pratama Widya Mandala Badung. Hasil dari pengujian dari Pi-Hole yakni sistem yang diuji dapat bekerja dengan optimal, sistem ini dapat memblokir situs-situs yang ada pada daftar hitam. Kata Kunci : Pi-Hole, DNS, Server
Pemberdayaan Teknologi SI-NILA Berbasis Internet Of Things Pada Kelompok Budidaya Ikan Nila di Desa Penarukan Anak Agung Gde Ekayana; Peter Enlarga Lauda
Nusantara: Jurnal Pengabdian kepada Masyarakat Vol. 5 No. 2 (2025): Mei: NUSANTARA Jurnal Pengabdian Kepada Masyarakat
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/nusantara.v5i2.4320

Abstract

Penarukan Village, located in Tabanan Regency, is predominantly inhabited by communities engaged in freshwater fish farming, particularly Nile tilapia (Oreochromis niloticus). The high demand for Nile tilapia in Tabanan and surrounding areas poses a challenge for farmers to manage the growth and development of the fish to ensure optimal quality. During the cultivation process, various issues arise that require effective solutions to support the sustainability of this sector. One of the main problems faced by fish farmers is related to the quality of biofloc pond water, which is still monitored using conventional methods. Poor water quality that does not meet the optimal living standards for Nile tilapia can hinder growth, reduce fish health, and negatively impact production yield. Manual monitoring methods are also prone to inaccuracy and complicate the data analysis process needed for effective decision-making.To address this issue, a technology-based solution has been proposed in the form of a real-time monitoring system using the “SI-NILA” mobile application integrated with a microcontroller-based Internet of Things (IoT) system. This system allows for continuous monitoring of pond water quality and automated pH control to maintain suitable conditions for fish growth. This innovation is expected to improve efficiency and effectiveness in fish farming practices, minimize the risk of crop failure, and promote the digital transformation of aquaculture in Penarukan Village, contributing to the sustainable development of the freshwater aquaculture sector.
Performance Comparasion of DenseNet-121 and MobileNetV2 for Cacao Fruit Disease Image Classification Ariawan, Kadek Rizki; Ekayana, Anak Agung Gde; Indrawan, I Putu Yoga; Winatha, Komang Redy; Setiawan , I Nyoman Anom Fajaraditya
Indonesian Journal of Data and Science Vol. 6 No. 1 (2025): Indonesian Journal of Data and Science
Publisher : yocto brain

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56705/ijodas.v6i1.233

Abstract

Introduction: Cacao fruit diseases significantly impact cocoa yield and quality in Indonesia. Early detection is critical, yet traditional methods are often time-consuming and error-prone due to the visual similarity of disease symptoms. This study aims to compare the performance of two Convolutional Neural Network (CNN) architectures—DenseNet-121 and MobileNetV2—for automated image classification of cacao fruit diseases. Methods: The dataset comprises 8000 images augmented from 2000 original photos taken in cocoa plantations in Bali, categorized into four classes: fruit rot, fruit-sucking pests, pod borers, and healthy fruits. Both CNN models were trained using the Adam optimizer, a learning rate of 0.001, and a dropout rate of 0.4. The input images were resized to 224×224 pixels. Evaluation metrics included accuracy, precision, recall, and F1-score. Results: DenseNet-121 outperformed MobileNetV2 across all metrics. DenseNet-121 achieved an accuracy of 94.50%, precision of 94.75%, recall of 94.25%, and F1-score of 94.50%. In comparison, MobileNetV2 reached an accuracy of 93.88%. Although MobileNetV2 offered faster training time and lower model complexity, DenseNet-121 demonstrated superior feature extraction and stability, supported by its deeper architecture and greater parameter capacity. Conclusions: DenseNet-121 is more effective than MobileNetV2 in classifying cacao fruit diseases, providing higher accuracy and robustness. Despite requiring more computational resources, it is better suited for developing a web-based cocoa disease detection tool to assist farmers in timely and accurate disease identification.
Deep Learning for Automatic Assessment and Feedback in LMS-Based Education Kusuma, Aniek Suryanti; Ekayana, Anak Agung Gde; Dwi Utami Putra, Desak Made
IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Vol 19, No 3 (2025): July
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijccs.109333

Abstract

Learning Management Systems (LMS) play a critical role in modern education by organizing content, facilitating communication, and supporting student assessment. However, most current LMS platforms depend on manual grading and generalized feedback, which can be inefficient and lack personalization. This research enhances LMS capabilities by integrating deep learning techniques—specifically Natural Language Processing (NLP)—to automate assessment and deliver personalized feedback. The system analyzes student input, such as written assignments and discussion forum posts, to evaluate performance and generate real-time, adaptive feedback. A modular framework was developed using a Bidirectional LSTM-based architecture trained on sequence data with regression objectives. The model was evaluated using the Mean Squared Error (MSE) metric. The results show that the model performs reasonably well, with predictions closely aligned to actual values in most cases, although its performance decreases slightly at the distribution extremes. Visualization via scatter plots further confirms the model's ability to capture context and structure in textual input. These findings demonstrate the model's feasibility in educational environments and its potential to reduce instructor workload while improving the quality of feedback. Future work will consider integrating attention mechanisms and multilingual capabilities for broader applicability.
Pemberdayaan Knowledge Management Sebagai Strategi Meningkatkan Prestasi Belajar Elektronika Di Pendidikan Tinggi Gde Ekayana, Anak Agung
Innovative: Journal Of Social Science Research Vol. 4 No. 1 (2024): Innovative: Journal Of Social Science Research
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/innovative.v4i1.8195

Abstract

Pembelajaran di masa pandemi menyebabkan kehilangan pembelajaran yang semakin besar antara tujuan yang ditetapkan pada kurikulum dengan capaian pembelajaran. Kehilangan pembelajaran menimbulkan efek majemuk pada apa yang dipelajari peserta didik. Untuk itu, pemulihan proses pembelajaran dimasa pasca pandemi menjadi tindakan yang wajib dilakukan. Penelitian ini bertujuan mendeksripsikan hasil implementasi knowledge management dalam proses pembelajaran pasca pandemi terhadap prestasi belajar mahasiswa teknik di Pendidikan tinggi. Rancangan penelitian menggunakan quasi-eksperiment (perlakuan). Populasi dari penelitian mengambil lima kelas (175 mahasiswa) dan sampel penelitian menggunakan dua kelas menggunakan teknik group random sampling. Pengumpulan data hasil penelitian menggunaan tes pilihan ganda diperluas. Analisis data menggunakan ANOVA satu jalur. Hasil uji didapatkan nilai F hitung sebesar 40.481 dan Sig 0,000 < 0,05. Berdasarkan hasil uji statistik bawasannya penggunaan knowledge management dalam proses pembelajaran sangat membantu dan efektif dalam peningkatan prestasi belajar peserta didik untuk mendukung inovasi pembelajaran di pendidikan tinggi.
ELECTRE-Based Decision Support Model for LPG Base Location Optimization Putri, Ida Ayu Putu Calista Kencana; Sudipa, I Gede Iwan; Ariana, Anak Agung Gede Bagus; Yanti, Christina Purnama; Ekayana, Anak Agung Gde
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.v10i1.15500

Abstract

The kerosene to LPG (Liquefied Petroleum Gas) 3 kg conversion program since 2007 has successfully improved household energy efficiency, but equitable access to bases in remote areas is still an obstacle. In Tabanan Regency, Bali, eight villages do not have access to 3 kg LPG bases, making it difficult for the community to obtain LPG at the Highest Retail Price (HET) and timely supply. This research develops a decision-making model using the ELECTRE method to recommend optimal base locations based on a case study of four villages: Pupuan Sawah, Dalang, Mundeh, and Belatungan. The model integrates 15 criteria including population density, infrastructure accessibility, existing base distance, and the presence of public facilities with a multi-stakeholder approach. The model is expected to be a tool for LPG agents and policy makers in determining the optimal base location and supporting equitable distribution of subsidized energy.
Pengembangan Aplikasi Media Pembelajaran Elektronika Berbasis Augmented Reality (AMPERE) sebagai Media Interaktif Pembelajaran Elektronika Anak Agung Gde Ekayana; Ni Kadek Puspita Dewi
JURNAL RISET RUMPUN ILMU PENDIDIKAN Vol. 5 No. 1 (2026): April: JURRIPEN : Jurnal Riset Rumpun Ilmu Pendidikan
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jurripen.v5i1.8049

Abstract

Electronics learning in higher education continues to face various challenges, particularly in the provision of interactive learning media capable of concretely and engagingly visualizing the form, characteristics, and working principles of electronic components. The limitations of conventional learning media often result in abstract learning processes, which in turn lead to a low level of student understanding of basic electronics concepts. This study aims to develop the AMPERE as an innovative and technologically relevant interactive learning medium. The research employed R&D approach using the Borg & Gall model, which includes the stages of needs analysis, design, product development, validity testing, and limited implementation. The AMPERE application was developed using marker based AR technology, in which a smartphone camera detects markers to display and interact with 3D electronic component objects in real time. The results indicate that the AMPERE application achieved a high level of validity, with a score of 0.88 from subject-matter experts and 0.84 from media experts, and was therefore deemed suitable for use as a learning medium. The small-group trial results showed a practicality level of 82.07%, while the practicality test during the implementation stage reached 85.67%. These findings demonstrate that AMPERE is effective in enhancing learning interactivity and assisting students in understanding the form, function, and working principles of electronic components through smartphone-based digital visualization. Theoretically, these results are consistent with constructivist learning theory, which emphasizes active knowledge construction through direct experience and interaction with learning objects.
Co-Authors Andika, I Gede Aniek Suryanti Kusuma, Aniek Suryanti Ariana, Anak Agung Gede Bagus Ariawan, Kadek Rizki Christina Purnama Yanti Desak Made Dwi Utami Putra Destiansyah, Bayu Tegar Firyal Nabila Afifah Gde Andrayuga Pramaditha Tenaya I Gede Adnyana I Gede Handi Raharja I Gede Iwan Sudipa I Gede Made Yudi Antara I Gede Putu Eka Suryana I Gede Ratnaya I Gusti Made Ngurah Desnanjaya I Kadek Budi Sandika I Putu Yoga Indrawan I Wayan Teguh Wirapratama Ketut Agustini Kurniawan, I Kadek Yogi Ni Kadek Puspita Dewi Ni Nyoman Parwati Peter Enlarga Lauda Putra, Putu Satria Udyana Putri, Ida Ayu Putu Calista Kencana Putu Risanti Iswardani SANTIKA, I GEDE AGUS ARI Setiawan , I Nyoman Anom Fajaraditya Winatha, Komang Redy Wirapratama, I Wayan Teguh Wiyata Putra, I Dewa Putu Gede