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All Journal International Journal of Electrical and Computer Engineering Jurnal Pendidikan Teknologi dan Kejuruan Jurnal Teknologi dan Sistem Komputer Sinkron : Jurnal dan Penelitian Teknik Informatika JUTIK : Jurnal Teknologi Informasi dan Komputer Jusikom : Jurnal Sistem Komputer Musirawas Jurnal Informatika Universitas Pamulang SISFO Jurnal RESISTOR (Rekayasa Sistem Komputer) WIDYABHAKTI Jurnal Ilmiah Populer Building of Informatics, Technology and Science Indonesian Journal of Data and Science Tematik : Jurnal Teknologi Informasi Komunikasi JPM: JURNAL PENGABDIAN MASYARAKAT PROFICIO: Jurnal Pengabdian Masyarakat J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Multidisiplin Madani (MUDIMA) Jurnal WIDYA LAKSMI (Jurnal Pengabdian Kepada Masyarakat) Jurnal Pengabdian Masyarakat Tapis Berseri Journal of Social Work and Empowerment Darma Abdi Karya: Jurnal Pengabdian Kepada Masyarakat JGGAG (Journal of Games, Game Art, and Gamification)
Christina Purnama Yanti
STMIK STIKOM Indonesia
Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy 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 Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Public Health Social Sciences Transportation Other

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Optimizing convolutional neural networks-based ensemble learning for effective herbal leaf disease detection Ginantra, Ni Luh Wiwik Sri Rahayu; Yanti, Christina Purnama; Ariantini, Made Suci
International Journal of Electrical and Computer Engineering (IJECE) Vol 15, No 2: April 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v15i2.pp2416-2426

Abstract

This study aims to optimize convolutional neural networks (CNN)-based ensemble learning models to enhance accuracy and stability in detecting herbal leaf diseases. The dataset used in this study is sourced from the “Lontar Taru Pramana” collection, which includes various images of herbal leaves affected by different diseases such as Ancak Bacterial Spot, Dapdap Mosaic Virus, and Kelor Powdery Mildew. Several CNN models, including VGG16, AlexNet, ResNet50, DenseNet121, MobileNetV2, and InceptionV2, were evaluated. Among these, the ensemble models combining VGG16, DenseNet121, and MobileNetV2 were selected due to their superior performance. The ensemble model achieved precision scores of 0.81 for class 1, 0.76 for class 2, and 0.78 for class 3, with corresponding recall scores of 0.8167, 0.74, and 0.7633, and F1-scores of 0.8133, 0.75, and 0.7717 respectively. These results indicate significant improvements in model performance and robustness.
Mengenal Aksara Bali: Balinese Script game education based on mobile application I Gede Andika; Daniel Eka Saputra; Christina Purnama Yanti; Gede Indrawan
Journal of Games, Game Art, and Gamification Vol. 4 No. 1 (2019): Special Issue: International Conference of Games, Game Art and Gamification (IC
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/jggag.v4i1.7240

Abstract

Balinese Scriptwriting, as one of Balinese cultural richness, is going to extinct because of its decreasing use. Governor of Bali, I Wayan Koster, expressed concern about the increasingly diminishing interest of the community, especially among the younger generation using it. This research focused on the development of a Balinese Script game education based on a mobile application called Mengenal Aksara Bali. In this research area, Mengenal Aksara Bali offered a solution as an application that is not only for playing,but also provided features for learning Balinese Script glyphs (Aksara Wresastraand numbers). Mengenal Aksara Bali was implemented by using Construct2(a powerful game creator designed especially for 2D games). Through Black Box testing, its functions in the application wasrunning as expected
Implementasi Aplikasi Buku Kas Untuk Menunjang Kompetensi Siswa Jurusan Akuntansi Ni Luh Wiwik Sri Rahayu Ginantra; Christina Purnama Yanti; Theresia Hendrawati
Darma Abdi Karya Vol. 3 No. 2 (2024): Darma Abdi Karya: Jurnal Pengabdian Kepada Masyarakat
Publisher : LPPM POLITEKNIK LP3I

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38204/darmaabdikarya.v3i2.2167

Abstract

At this time, people are more directed towards consumptive behavior in living their daily lives. The same is true for teenagers, the majority of whom follow a lifestyle in accordance with current trends. By following this trend, it is certain that adolescents will spend more money and not commensurate with existing income. Similarly, students at SMK Dwijendra Denpasar majoring in Accounting have problems where students are difficult to manage their personal finances. With our community service activities, it is hoped that it can help students in terms of a good financial management system and can improve skills and knowledge about how to manage personal finances so that later in the world of work it is expected to be able to manage company finances. The output of this research is that students are able to identify and prioritize the main priorities for allocating their personal funds. In addition, students can feel financial security in meeting sudden needs, because they have sufficient savings in the future.
Classification of Cavendish Banana Ripeness With CNN Method Tjokorda Istri Agung Pandu Yuni Maharani; I Gusti Agung Indrawan; Gede Dana Pramitha; Christina Purnama Yanti; I Made Marthana Yusa
Indonesian Journal of Data and Science Vol. 6 No. 2 (2025): Indonesian Journal of Data and Science
Publisher : yocto brain

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56705/ijodas.v6i2.259

Abstract

Cavendish bananas are one of the most widely consumed tropical fruits in Indonesia due to their sweet taste and high nutritional content. However, as they ripen, the sugar content in bananas increases, which can be a problem for diabetics. To help diabetics choose bananas with the right level of ripeness, this study developed a Cavendish banana ripeness classification model using artificial intelligence technology, namely the ResNet50 Convolutional Neural Network (CNN) architecture. The banana data is divided into five ripeness categories: green, yellowish green, yellow, spotted yellow, and spotted brownish yellow. The model was trained with two approaches, with and without data augmentation, using two types of training algorithms (optimizers), namely Adam and SGD, as well as a k-fold cross-validation method to ensure accurate results. The results showed that the ResNet50 model produced the highest accuracy of 98% when trained using data augmentation and the Adam optimizer with a learning rate setting of 0.0001.
PKM DESCRIPTIVE ANALYSIS PADA ELY’S CAFE ADIWANA UNAGI SUITE Saraswati, Ni Wayan Sumartini; Muku, I Dewa Made Krishna; Suryawan, I Wayan Dharma; Martarini, Ni Made Lisma; Novitasari, Dwi; Nirwana, Ni Kade Ayu; Agetania, Ni Luh Putu; Yanti, Christina Purnama; Waas, Devi Valentino; Marlinda, Ni Luh Putu Mery; Juniartini, Ni Komang Tri
Jurnal Widya Laksmi: Jurnal Pengabdian Kepada Masyarakat Vol. 3 No. 2 (2023): 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.v3i2.61

Abstract

Di tengah persaingan yang makin ketat, Business Intelligence (BI) menjadi solusi dalam tantangan bisnis perusahaan yang lebih solutif. BI dalam prosesnya memanfaatkan data historis yang selalu bertumbuh semakin banyak. Dengan BI perusahaan dapat memiliki strategi yang lebih kuat dan pengambilan keputusan yang lebih matang. Penelitian ini membangun BI pada Adiwana Unagi Suites yang menghasilkan visualisasi data untuk mengambil keputusan yang tepat. Adapun tool yang digunakan adalah Tableau, software BI dan visualisasi data yang cepat, powerful, dan efektif digunakan. Dari penelitian ini, dihasilkan tujuh visualisasi data berdasarkan pertanyaan yang telah dikemukakan terlebih dahulu untuk membantu strategi bisnis. Adapun hasilnya berupa visualisasi data dengan berbagai bentuk grafik, seperti butterfly bar chart, vertical bar chat, line chart, tabel pivoting, serta box plot.
PKM Penggunaan Teknologi Augmented Reality Pelajaran Biologi Untuk Meningkatkan Pemahaman Siswa SMA Christina Purnama Yanti; Ginantra, Ni Luh Wiwik Sri Rahayu; Theresia Hendrawati; Dewa Ayu Putri Wulandari
Darma Abdi Karya Vol. 3 No. 1 (2024): Darma Abdi Karya: Jurnal Pengabdian Kepada Masyarakat
Publisher : LPPM POLITEKNIK LP3I

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38204/darmaabdikarya.v3i1.1972

Abstract

Biology is a science that studies everything about everyday life, such as living things, health, the environment, and biology can also be used to solve problems that occur in everyday life. One of the things that is discussed in biology is viruses. A virus is a living creature with parasitic properties, which means that the life of this living creature depends on other living creatures by infecting the cells of other living creatures. Studying biology at high school level is considered quite important because it is considered to be an opportunity for students to get to know themselves, the environment and the living creatures around them. Based on interviews conducted with Mr. Tisnawan as one of the biology subject teachers at SMA Negeri 8 Denpasar, the results showed that there are challenges in studying the structure and shape of viruses which can influence students' interest in learning, such as the abstract shape of viruses, lack of variation in learning media, and limited equipment and practical space such as microscopes and others. Therefore, the service team plans to introduce teachers and students to the use of Augmented Reality in learning media where the topic used is the structure and shape of viruses in class X high school material. Assistance to teachers and students in using Augmented Reality applications needs to be provided so that teachers and students can use them well. Apart from that, this assistance is also expected to increase teachers' digital literacy in using technology in learning.
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
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.
IndoBERT-Based Pediatric Disease Classification and Symptom-Based Traditional Medicine Recommendation from Lontar Usada Rare Winata, I Putu Erick Prawira; Sudipa, I Gede Iwan; Meinarni , Ni Putu Suci; Wulandari, Dewa Ayu Putri; Yanti, Christina Purnama
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.v10i1.15507

Abstract

This study aims to develop a Balinese traditional text-based pediatric disease classification model using a fine-tuned IndoBERT model on the Lontar Usada Rare dataset. The dataset used consists of 422 entries containing disease symptoms, disease types, medicinal ingredients, and treatment procedures obtained from transliteration of lontar manuscripts and interviews with traditional medicine experts. Pre-processing was done through case folding, cleansing, and normalization, followed by label encoding on 35 disease classes. The IndoBERT model was fine-tuned using the AdamW optimizer with a learning rate of 5e-5, batch size 8, and 15 epochs. Evaluation results showed the model was able to achieve 90.59% accuracy, 94.71% precision, 90.59% recall, and 90.99% F1-score, indicating excellent performance in understanding the linguistic context of traditional medical text. The developed recommendation system integrates model prediction with TF-IDF-based cosine similarity method to provide the most relevant treatment recommendations based on user symptom input. This research makes an important contribution to the digitization and preservation of Balinese traditional medical knowledge through the development of a structured and widely accessible digital knowledge base.
PEMANFAATAN TIK UNTUK PENINGKATAN KEMAMPUAN PENGGUNAAN MICROSOFT WORD DI SDN 1 TAMPAKSIRING Ginantra, Ni Luh Wiwik Sri Rahayu; Hendrawati, Theresia; Yanti, Christina Purnama
Jurnal Pengabdian Masyarakat FKIP UTP Vol 7 No 2 (2026): PROFICIO : Jurnal Abdimas FKIP UTP
Publisher : PROFICIO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36728/.v7i2.6518

Abstract

Perkembangan teknologi informasi dan komunikasi (TIK) menuntut siswa sekolah dasar menguasai keterampilan digital fundamental, termasuk pengoperasian aplikasi pengolah kata Microsoft Word. Akan tetapi, observasi di SDN 1 Tampaksiring menunjukkan sebagian besar siswa masih kesulitan mengoperasikan aplikasi tersebut karena keterbatasan paparan praktis. Kegiatan pengabdian masyarakat ini bertujuan meningkatkan kompetensi siswa dalam penggunaan Microsoft Word melalui pelatihan berbasis TIK yang terstruktur. Kegiatan dilaksanakan dengan pendekatan kualitatif yang melibatkan tiga puluh siswa kelas IV hingga VI sebagai peserta. Data dikumpulkan melalui observasi, wawancara, dokumentasi, serta asesmen kinerja siswa sebelum dan sesudah pelatihan. Pelatihan dilaksanakan dalam lima tahap: analisis kebutuhan, penyusunan materi, pelaksanaan pelatihan, pendampingan, dan evaluasi. Hasil kegiatan menunjukkan rata-rata kompetensi siswa meningkat secara signifikan dari 42,3% pada pra-tes menjadi 84,7% pada pasca-tes. Siswa mengalami peningkatan keterampilan dalam pembuatan dokumen, pemformatan teks, penyisipan tabel, dan tata letak halaman dasar. Kegiatan juga menumbuhkan motivasi belajar serta kepercayaan diri digital siswa. Temuan ini menegaskan bahwa pelatihan TIK yang aplikatif berkontribusi nyata terhadap literasi digital siswa sekolah dasar.
Co-Authors Anak Agung Gde Ekayana Andika, I Gede Andika, I Gede Ariana, Anak Agung Gede Bagus Aristamy, I Gusti Ayu Agung Mas Aristana, Made Dona Wahyu Baehaqi Cardewa, Made Daniel Eka Saputra Dewa Ayu Putri Wulandari Dwipayana, Ida Bagus Rama Gede Indrawan Hendrawati, Theresia I Dewa Made Krishna Muku I Gede Andika I Gede Andika I Gede Andika I Gede Iwan Sudipa I Gusti Agung Indrawan I Made Cristian Arta Kusuma I Made Marthana Yusa I Made Marthana Yusa I Nyoman Tri Anindia Putra I Wayan Dharma Suryawan Ida Bagus Nyoman Pascima Juniartini, Ni Komang Tri Ketut Laksmi Maswari Made Cardewa Made Suci Ariantini Meinarni , Ni Putu Suci N.L.Wiwik Sri Rahayu Ginantra Ni K. N Noviani Pande Ni Kadek Nita Noviani Pande Ni Ketut Utami Nilawati Ni Komang Ita Cahyani NI LUH PUTU AGETANIA . NI LUH PUTU MERY MARLINDA Ni Luh Wiwik Sri Rahayu Ginantra Ni Made Lisma Martarini Ni Putu Anik Juniantini Nirwana, Ni Kade Ayu Patrycia Dewi, Ni Putu Eka Pramita, Dewa Ayu Kadek Pramitha, Gede Dana Putri, Ida Ayu Putu Calista Kencana Putu Wirayudi Aditama Riana, Roni Sandhiyasa, I Made Subrata Santi Ika Murpratiwi Saputra, Daniel Eka Saraswati, Ni Wayan Sumartini Sastaparamitha, Ni Nyoman Ayu J Tjokorda Istri Agung Pandu Yuni Maharani Toraja, Dewa Gede Waas, Devi Valentino Winata, I Putu Erick Prawira Winatha, Komang Redy Wulandari, Dewa Ayu Putri Yuri Prima Fittryani, Yuri Prima