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Development of Microlearning-Oriented Explainer Videos on Robotics Learning in Higher Education Anak Agung Gde Ekayana
Jurnal Ilmu Pendidikan (JIP) STKIP Kusuma Negara Vol 15 No 1 (2023): Transformative Digital Learning: Insights and Innovations
Publisher : LPPM STKIP Kusuma Negara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37640/jip.v15i1.1788

Abstract

The digital era triggers innovation in the learning process where currently, students prefer to find and learn learning resources through the internet/online technology. Microlearning-oriented explainer video media is one solution to accommodate changes in the current way of learning. This research aims to develop and implement microlearning-oriented explainer videos in robotics courses in higher education on a limited scale. The research used the Plomp development model to create explainer videos. The resulting explainer video media is tested for validity, practicality, and effectiveness. The results revealed that the explainer video media that had been developed got excellent results in the aspects of validity and practicality, while the results of testing the effectiveness of the media in the classroom and tested statistically that there were differences in learning achievement between before and after using explainer video media in robotics learning materials. Increased learning achievement of robotics learning materials is evidence of increased student activity and enthusiasm in learning so that learning outcomes can be fulfilled.
Android-Based Learning Media in Supporting the Recovery of Science Learning Class VII Ekayana, Anak Agung Gde; Putra, Putu Satria Udyana; Destiansyah, Bayu Tegar
Jurnal Inovasi dan Teknologi Pembelajaran Vol 9, No 2 (2022)
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um031v9i22022p197

Abstract

Abstrak: Penelitian yang dilakukan bertujuan menjabarkan efektivitas produk pengembangan media berbasis android dalam mendukung pemulihan pembelajaran sistem organisasi kehidupan yang dianalisis oleh ahli, guru dan siswa. Rancangan penelitian ini berbasis pengembangan berorientasi pada model Borg dan Gall yang direduksi menjadi lima tahapan. Hasil penelitian meliputi merancang dan membangun media pembelajaran IPA melalui lima tahapan. Penilaian media dari ahli isi dan ahli media memberikan tanggapan yang sangat baik. Hal yang sama dengan hasil pengujian media kepada guru dan siswa, kategori sangat baik diberikan oleh guru terhadap media dengan persentase 99 persen dan uji coba kelas memberikan persentase 97 persen dengan kategori sangat baik. Media yang telah dikembangkan memberikan efektivitas melalui uji coba pra eksperimen terhadap hasil belajar peserta didik dan media pembelajaran efektif membantu pemulihan proses pembelajaran pada materi sistem organisasi kehidupan. Abstract: This research aims to describe the effectiveness of android-based media development products in supporting the restoration of learning organizational life systems analyzed by experts, teachers, and students. This research design is development-oriented based on the Borg and Gall model, reduced to five stages. The research results include designing and building science learning media through five steps. Media assessments from content experts and media experts gave an excellent response. The same thing with the results of media testing for teachers and students; the teacher provided the outstanding category to the media with a percentage of 99 percent, and the class trial gave a rate of 97 percent with an exceptional variety. The media that has been developed provides effectiveness through pre-experimental practices on student learning outcomes, and effective learning media helps restore the learning process of life organization systems.
Analisis Quality of Service Protokol MQTT, HTTP, dan CoAP dalam Pengiriman Data ke Thingsboard Kurniawan, I Kadek Yogi; Andika, I Gede; Antara, I Gede Made Yudi; Desnanjaya, I Gusti Made Ngurah; Ekayana, Anak Agung Gde
INFORMAL: Informatics Journal Vol 9 No 1 (2024): INFORMATICS JOURNAL (INFORMAL)
Publisher : Faculty of Computer Science, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/isj.v9i1.43986

Abstract

The Internet of Things allows a sensor node to collect data from a place and send it to the Internet of Things platform. In its application, the Internet of Things has several protocols for sending data such as Message Queue Telemetry Transport (MQTT), Hyper Text Transport Protocol (HTTP), and Constrained Application Protocol (CoAP). These three protocols have their own characteristics and differences. For this reason, it is necessary to analyze the performance of these three protocols. This research focuses on analyzing the comparison of the Quality of Service of these three protocols in terms of packet loss, delay, and jitter parameters with the object used is sending temperature data to Thingsboard. The result shows that MQTT excels in sending data with short time intervals and CoAP excels in sending data with long time intervals.
Analyzing The Impact of Project-Based Learning STEAM Flipped Classroom on Computer Architecture and Organization Courses in Higher Education Ekayana, Anak Agung Gde; Parwati, Ni Nyoman; Agustini, Ketut; Ratnaya, I Gede
JOIV : International Journal on Informatics Visualization Vol 8, No 3 (2024)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.8.3.2540

Abstract

This study examines the differences in students' creative thinking skills between the project-based learning STEAM Flipped Classroom and the direct learning STEAM Flipped Classroom model by paying attention to the role of academic self-efficacy as a moderator variable. The research population consists of students in informatics engineering study programs in the Denpasar area of Bali. The study used a quasi-experimental 2 x 2 factorial design. Data collection is carried out through questionnaires and test instruments. Data analysis used descriptive and inferential statistics, as well as analysis of covariance. The results showed a significant difference in students' creative thinking skills between those who learned with the STEAM Flipped Classroom project learning model and the STEAM Flipped Classroom direct learning model. In addition, there are differences in students' creative thinking skills based on the level of academic self-efficacy. The empirical application of the STEAM Flipped Classroom project model is proven to help students generate new ideas, develop ideas, and improve their thinking skills. However, the findings suggest that flexible thinking skills must be further enhanced. Students with high self-efficacy tend to be more proactive in providing constructive ideas in project-based learning activities. This research implies that it is necessary to actively motivate and share experiential stories with students who have low self-efficacy. In the future, I suggest that universities adopt the innovative learning model of project-based learning STEAM flipped Classroom to improve the creative thinking skills of informatics engineering students at the college level.
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.