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All Journal Jurnal SPEKTRUM JUTIK : Jurnal Teknologi Informasi dan Komputer JURNAL PENDIDIKAN TAMBUSAI Jurnal Pelayanan dan Pengabdian Masyarakat (Pamas) Progresif: Jurnal Ilmiah Komputer International Journal of Engineering and Emerging Technology Indonesian Journal of Social and Environmental Issues (IJSEI) Journal of Community Development Jurnal Teknik Gradien Jurnal Altifani Penelitian dan Pengabdian kepada Masyarakat Jurnal Locus Penelitian dan Pengabdian Jurnal Abdi Daya Jurnal Bangkit Indonesia Scientica Education Journal (SEJ)

Wikan Pradnya Dana, Gde

Universitas Warmadewa

Author-ID : 9021580

Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemistry 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 Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Nursing Public Health Social Sciences

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KONSERVASI ENERGI PADA GEDUNG KANTOR SEKRETARIAT DAERAH KOTA DENPASAR Gde Wikan Pradnya Dana; I Gede Dyana Arjana; Cok Gede Indra Partha
Jurnal SPEKTRUM Vol 7 No 2 (2020): Jurnal SPEKTRUM
Publisher : Program Studi Teknik Elektro UNUD

Regional Secretariat Building Denpasar in 2017 experienced a separation in two parts.The separation resulted in the empty room, even though are empty room turned out toconsumption building power in 2018 continued to experience enchancement. The study hasbeen done there is the room that has the intensity of energy consumption which do not comptywith SNI. Solutions that can be given is to replace the type of split standard air conditioner (AC)into a type of low watt air conditioner (AC). Replacement type split standard air conditioner (AC)1,5 PK became type of low watt air conditioner (AC) 1,5 PK can make saving of up 11,62 % orRp 21.068.468,00. Saving electric energy consumption on lighting system can be done byinstalling an automatic switch with time or by using an a light sensor system.

The Optimization of Feature Selection Using Genetic Algorithm with Naïve Bayes Classification for Home Improvement Recipients Putri Suardani; Adi Bhaskara; Made Sudarma
International Journal of Engineering and Emerging Technology Vol 3 No 1 (2018): January - June
Publisher : Doctorate Program of Engineering Science, Faculty of Engineering, Udayana University

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

The purpose of this study is to help predicting the recipients of home improvement based on the optimized criterias. The classification method is using naïve bayes method. Naïve Bayes classification is one of data mining classification technique that can predict future probabilities based on past experience. But, naïve bayes method has a disadvantage that the independence characteristics of Naïve Bayes feature can not always be applied so it will affect the accuracy. Due to the independence characteristics, Naïve Bayes classification method needs to be optimized by feature selection technique. Genetic algorithm are one of the most commonly used methods of feature selection techniques. The results achieved is Naïve Bayes Method can be applied to determine the recipients of home improvement, which seeks the greatest opportunity or alternative probability by exploiting the conditional probability of each criterion that has been optimized. This can be used as consideration, reference, and facilitate in determining the community welfare and the program rolled right on target.

Potential Methane Gas Emissions as Renewable Energy at the Suwung Waste Final Processing Area Gde Wikan Pradnya Dana; Ida Ayu Dwinita Yoga Saraswati
Jurnal Pendidikan Tambusai Vol. 6 No. 2 (2022): Agustus 2022
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai, Riau, Indonesia

Masalah sampah dalam satu dekade terakhir merupakan masalah multidimensi mulai dari mencari lokasi penimbunan sampah yang selalu menjadi masalah sosial di masyarakat hingga menentukan teknologi yang digunakan untuk mengelola sampah. Tata cara pengolahan sampah di perkotaan di Indonesia, masih menerapkan teknik konvensional yaitu open dumping, dimana dalam pelaksanaannya penanganan sampah dengan cara ini masih menimbulkan permasalahan. Tumpukan sampah yang semakin banyak akan mengeluarkan emisi metana, tentunya akan meningkatkan efek gas rumah kaca. Dampak dari situasi ini akan menimbulkan masalah pemanasan global dan perubahan iklim. Tempat Pemrosesan Akhir Suwung terletak di Desa Suwung, Kota Denpasar, Provinsi Bali dimana sistem pengelolaan sampahnya masih menggunakan teknologi open dumping. Metode penelitian menggunakan penelitian deskriptif kuantitatif dan berpedoman pada Intergovernmental Panel on Climate Change (IPCC) 2006. Hasil penelitian ini menemukan bahwa sebagian besar sampah organik yaitu 78,35%, sedangkan sampah anorganik 21,66%. Komposisi sampah organik yang paling banyak masuk ke TPA Suwung adalah sampah kebun dan taman yaitu 44,97% dan yang paling sedikit adalah sampah karet dan kulit sebesar 1,17%. Mengacu pada ketentuan IPCC 2006 perhitungan potensi emisi gas metana yang dihasilkan oleh sampah organik di TPA Suwung adalah 2.957,10 ton. Penelitian ini menemukan potensi pengelolaan gas metana yang mampu menghasilkan energi listrik sebesar 5,75 MW.

ESTIMASI PERUBAHAN TUTUPAN LAHAN DENGAN MENGGUNAKAN NORMALIZED DIFFERENCE VEGETATION INDEX (NDVI) DI KABUPATEN KLUNGKUNG PROVINSI BALI Putu Aryastana; I Gusti Ngurah Agung Widya; Gde Wikan Pradnya DAna; I Putu Suta Suyasa; Wayan Wahyu Adnyana Tamara
Jurnal Teknik Gradien Vol 15 No 01 (2023): JURNAL TEKNIK GRADIEN
Publisher : Fakultas Sains dan Teknologi Universitas Ngurah Rai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47329/teknik gradien.v15i01.1014

The development of development in urban areas will also have an impact on the land cover area. Efforts that can be made to determine urban development are by looking at land cover information through land cover maps. Land cover data can provide information in studying climate change and understanding the relationship between human activities and climate change. The method used is descriptive with interpretation of Landsat 8 imagery, using a Geographic Information System (GIS). Normalized Diffrence Vegetation Index (NDVI) is a calculation on an image that is used to determine the level of greenery as the initial division of vegetation and land cover areas. Klungkung Regency in the last five years continues to experience changes. The area of paddy fields in Klungkung Regency in the past five years tends to decrease. In 2013 the area of paddy fields was 3,843 Ha, reduced to 3,779 Ha in 2017. Based on the results of Landsat 8 satellite imagery, from 2016 to 2021 there was a decrease in the area of vegetation density by 35.11 km2 or 11.39% while the area of residential land cover increased by 29.98 km2 or 9.73%.

PERSEPSI MAHASISWA BERDASARKAN GENDER TERHADAP SISTEM PEMBELAJARAN ONLINE DAN OFFLINE I Made Adi Bhaskara; I Made Surya Kumara; I Gede Wira Darma; Ni Putu Widya Yuniari; Gde Wikan Pradnya
Jurnal Teknologi Informasi dan Komputer Vol. 10 No. 2 (2024): Jurnal Teknologi Informasi dan Komputer
Publisher : LPPM Universitas Dhyana Pura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36002/jutik.v10i2.2970

Sistem pembelajaran secara online (daring) awalnya bertujuan sebagai alternatif darisistem pembelajaran di semua jenjang pendidikan. Dengan adanya pandemi Covid-19terjadi perubahan drastis yaitu sistem pembelajaran online secara penuh. Meredanyapandemi Covid-19 akhirnya sistem pembelajaran secara hibrid yaitu gabungan antaraoffline dan online. Penelitian ini bertujuan untuk mengetahui minat peserta didik tentangsistem pembelajaran dikaitkan dengan terkait faktor gender. Sebanyak 157 mahasiswaeksakta digunakan sebagai sampel yang terdiri dari 65 laki-laki dan 92 perempuan.Penelitian observasional menggunakan kuisener dengan pertanyaan tentang pemilihansistem pembelajaran (offline, online dan hibrid), pemilihan waktu (pagi, siang, sore danmalam) dan persepsi tentang pembelajaran offline (mudah memahami, menyenangkan,praktis). Hasil penelitian diperoleh bahwa pembelajaran online lebih banyak dipilih olehlaki-laki, sebaliknya perempuan lebih banyak memilih sistem offline. Berdasarkanpemilihan waktu pembelajaran online, peserta didik laki-laki lebih memilih waktu pagihari, sedangkan perempuan lebih banyak memilih waktu siang, sore dan malam. Secarakeseluruhan sistem pembelajaran offline lebih memudahkan pemahaman materipembelajaran dibandingkan online. Dapat disimpulkan bahwa ada persepsi yang berbedatentang pembelajaran online antara peserta didik laki-laki dengan yang perempuan. Perluteknis dan strategi yang berbeda antara pembelajaran online kepada peserta didik laki-laki dan perempuan

Analisis Klasifikasi Citra Penokohan Topeng Bali Menggunakan Model EfficientnetV2 Dan Xception Yuniari, Widya; Kumara, Surya; Raharja, Agus Wahyu; Bhaskara, Adi; Pradnya Dana, Wikan; Darma, Wira
Jurnal Bangkit Indonesia Vol 13 No 2 (2024): Bulan Oktober 2024
Publisher : LPPM Sekolah Tinggi Teknologi Indonesia Tanjung Pinang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52771/bangkitindonesia.v13i2.319

Abstract— Bali is one of the provinces with quite complex cultural diversity in Indonesia. One of them is the characterization of traditional masks. Traditional masks in Balinese tradition are not only intended as performance accessories, but also as symbols of characterization, social status in indigenous communities, rites, and certain primordial activities. Every detail in the curve of the carving on the Balinese mask indicates an aesthetic richness that is certainly measurable as an ontological entity. In this case, the magnitude of this aesthetic measurability can be assisted by using various computational methods. This study tries to create a machine learning model with supervised learning to create a classification system for Balinese mask characterization. The methods used include: processing mask images into a 3-dimensional vector, each representing the red, green and blue color indices. Then each vector will go through a training process to create a measurability model for each characterization. The models used are EfficientNetV2 and Xception which are developments of convolutional models. The performance measurement metrics used are Accuracy, Precision, Recall & F1-Score. The Xception model produced an accuracy of 97%, while the EfficientNetV2 model produced an accuracy of 99%. Keywords— Bali, Classification, EfficientNetV2, Mask, Xception

Analisis Unjuk Kerja Klasifikasi Citra Motif Kain Bali Menggunakan Model Inception Dan EfficientNet Yuniari, Ni Putu Widya; Kumara, I Made Surya; Raharja, I Kadek Agus Wahyu; Pradnya Dana, Gde Wikan; Darma, I Gede Wira; Bhaskara, I Made Adi
Progresif: Jurnal Ilmiah Komputer Vol 21, No 1: Februari 2025
Publisher : STMIK Banjarbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35889/progresif.v21i1.2568

Bali, with its rich culture and diverse symbolism reflected in the traditional fabric motifs. However, the manual recognition of Balinese fabric motifs faces challenges such as pattern complexity, similarity between motifs, and limited public knowledge. This study aims to address these challenges by using Artificial Intelligence (AI) to automate the process of accurately and efficiently identifying Bali fabric motifs. The research develops a motif recognition model for Bali fabrics using Inception V3 and EfficientNet B1 algorithms in image classification analysis. The research methodology used is experimental, starting with dataset collection, data augmentation, feature extraction, modeling, and testing. The results show that the EfficientNet model achieved an accuracy of 99% on the 25th iteration, much higher than Inception V3, which only achieved 62% accuracy. These results indicate that the EfficientNet model is more effective in recognizing and classifying Bali fabric motifs and strengthen the potential of artificial intelligence in cultural preservation.Keywords: Bali; Classification; EfficientNet; Inception; Pattern AbstrakBali, dengan kekayaan budaya yang kompleks serta beragam simbolisme. Salah satunya tercermin dalam rupa motif kain tradisional Bali. Namun, pengenalan manual motif kain Bali sering terhambat oleh tantangan seperti kerumitan pola, kesamaan antara motif, dan keterbatasan pengetahuan masyarakat. Penelitian ini bertujuan untuk mengatasi tantangan tersebut dengan menggunakan kecerdasan buatan (AI) untuk mengotomatisasi proses identifikasi motif kain Bali secara akurat dan efisien. Penelitian ini mengembangkan model pengenalan motif kain Bali dengan menggunakan algoritma Inception V3 dan EfficientNet B1 dalam analisis klasifikasi citra. Metode penelitian yang digunakan adalah eksperimen, dimulai dengan pengumpulan dataset, augmentasi data, ekstraksi fitur, pemodelan, dan pengujian. Hasil penelitian menunjukkan bahwa model EfficientNet B1 mencapai akurasi 99% pada iterasi ke-25, jauh lebih tinggi dibandingkan dengan Inception V3 yang hanya memperoleh akurasi 62%. Hasil ini menunjukkan bahwa model EfficientNet lebih efektif dalam mengenali dan mengklasifikasikan motif kain Bali serta memperkuat potensi kecerdasan buatan dalam pelestarian budaya.Kata kunci: Bali; EfficientNet; Inception; Klasifikasi; Motif

PENGABDIAN KEPADA MASYARAKAT “TERASDigital Peguyangan Kaja” (Transformasi Era Layanan Administrasi Menuju Sistem Digital Desa Peguyangan Kaja Melalui Tanda Tangan Elektronik) Dana, Gde Wikan Pradnya; Yuniari, Ni Putu Widya; Aryastana, Putu; Kumara, I Made Surya; Bhaskara, Made Adi; Darma, I Gede Wira; Raharja, I Kadek Agus Wahyu
Jurnal Pelayanan dan Pengabdian Masyarakat (Pamas) Vol 9, No 3 (2025): Jurnal Pelayanan dan Pengabdian Masyarakat (PAMAS)
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat (LPPM Universitas Respati Indonesia)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52643/pamas.v9i3.5189

Information technology within organizations, companies, and government institutions today plays a very significant role. However, the implementation of information technology in Indonesia still faces challenges in terms of efficiency and effectiveness, particularly in the village governance sector. On July 9, 2024, the Computer Engineering Faculty at Warmadewa University conducted a Community Service Program titled "TERAS Digital Peguyangan Kaja," which involved outreach and training to maximize the use of electronic signatures, evaluated using SWOT analysis. This program offers benefits such as the effectiveness and efficiency of public services. The implementation of electronic signatures is hindered by infrastructure issues and social resistance, necessitating outreach, intensive training, and infrastructure improvements. This community service program, in collaboration with the Denpasar City Communication and Information Agency (Diskominfo). This activity involved 25 participants consisting of village officials and service implementers, as well as representatives from the Denpasar City Communication and Information Office (Diskominfo). The evaluation of activities was carried out using SWOT analysis, involving socialization, training, and mentoring to implement the use of electronic signatures. evaluation using SWOT analysis. The implementation of socialization and training has increased the digital literacy of the community and village officials, increasing efficiency and effectiveness in solving the problems of the people of Peguyangan Kaja Village when the party whose signature is required by the village apparatus is in the way. . Although electronic signature technology has just begun to be implemented, there are technical obstacles and infrastructure limitations in Peguyangan Kaja Village that need to be overcome to ensure that this technology functions optimally and is accepted by the community. Future plans focus on improving the overall implementation of electronic signatures and increasing socialization to ensure the sustainability and effectiveness of the program. Keywords: Electronic Signatures, Socialization, Training, SWOT Analysis\

Analisis Komparatif Unjuk Kerja Model Vision Transformers Dengan ConvNeXt Dalam Rekognisi Citra Warangka Keris Bali Yuniari, Ni Putu Widya; Pradnya Dana, Gde Wikan; Darma, I Gede Wira
Progresif: Jurnal Ilmiah Komputer Vol 21, No 2: Agustus 2025
Publisher : STMIK Banjarbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35889/progresif.v21i2.2987

The application of attention mechanisms in image recognition has emerged as a new paradigm in computer vision, serving as a foundational approach in generative AI. Two state-of-the-art models frequently referenced in recent studies are Vision Transformers (ViT), introduced by Google, and ConvNeXt, developed by Meta (Facebook) AI Research. However, their application in recognizing local cultural imagery, such as the warangka (sheath) of the Balinese keris, remains highly limited. The urgency of this study lies in evaluating the effectiveness of AI models in supporting technology-based cultural preservation. This study aims to compare the unjuk kerjance of these two models in handling the classification and recognition of warangka keris (Balinese kris sheaths). The methodology involves data augmentation, feature extraction, patch processing (for ViT), model construction, evaluation, and image recognition analysis using Grad-CAM. The dataset comprises a combination of primary and secondary sources. Primary data were collected through field visits to kris-making workshops in Bali, while secondary data were obtained from previous studies. The kris sheath image classes used in this study include: 'Sesrengatan', 'Kojongan', 'Batun Poh', 'Kekandikan', and 'Beblatungan'. The study successfully developed image classification models, achieving an accuracy of 82% with the ViT model and 97% with the ConvNeXt model. The recognition process effectively highlighted the most significant regions of each image, providing valuable insight for future generative AI research.Keywords: Attention, ConvNeXt, Keris Bali, Vision Transformers AbstrakPenerapan attention dalam rekognisi citra menjadi pendekatan baru dalam pengenalan gambar dan berpotensi menjadi benchmark dalam pengembangan kecerdasan buatan generatif. Dua model terkini yang banyak diteliti adalah Vision Transformers (ViT) dari Google dan ConvNeXt dari Meta AI. Namun, penerapan keduanya dalam pengenalan citra budaya lokal seperti warangka keris Bali masih sangat terbatas. Urgensi penelitian ini terletak pada upaya mengevaluasi efektivitas model kecerdasan buatan dalam mendukung pelestarian budaya berbasis teknologi. Penelitian ini bertujuan untuk membandingkan performa ViT dan ConvNeXt dalam klasifikasi serta rekognisi citra warangka keris Bali. Metode yang digunakan meliputi augmentasi data, ekstraksi fitur, proses patching (untuk ViT), pembuatan model, pengujian, serta analisis grad cam. Data yang digunakan merupakan gabungan data primer (hasil kunjungan ke workshop pembuatan keris Bali) dan data sekunder dari berbagai sumber. Citra keris yang digunakan antara lain: ‘Sesrengatan’, ‘Kojongan’, ‘Batun Poh’, ‘Kekandikan’, dan ‘Beblatungan’. Hasil menunjukkan akurasi 82% (ViT) dan 97% (ConvNeXt), serta bagian penting citra berhasil dikenali sebagai benchmark generatif.Kata kunci: Attention; ConvNeXt; Keris Bali; Vision Transformers

Technological and Environmental Evaluation of Incinerator Systems for Sustainable Waste-to-Energy Solutions in Denpasar City Aryastana, Putu; Kurniawan, I Putu Manik; Eryani, I Gusti Agung Putu; Dana, Gde Wikan Pradnya; Wui, Jackson Chang Hian
Indonesian Journal of Social and Environmental Issues (IJSEI) Vol. 6 No. 2 (2025): August
Publisher : CV. Literasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47540/ijsei.v6i2.1696

The rapid urbanization and tourism growth in Denpasar City, Bali, have led to increasing waste management challenges. Currently, only 22% of the daily 850 tons of waste is managed at the source, with the rest transported to landfills. This study aims to evaluate the implementation of Waste-to-Energy (WES) incineration systems as a potential solution to both waste disposal and energy production. The research uses a quantitative method involving primary data collection through interviews and secondary data from existing documentation. Three incinerator designs were analyzed based on parameters like energy efficiency, emissions, and environmental impact. The results show that the third incinerator system delivers the highest power output at 445.67 KW, although it also produces moderate pollutant emissions. The second design system, however, strikes a better balance, offering both lower emissions and effective power generation, making it the most environmentally favorable option. The study contributes to the growing body of research on WES technology, highlighting the need for advanced design optimization to minimize environmental impacts while maximizing energy output.

Co-Authors Agung Yujana, Cokorda Ayu Dwinita Yoga Saraswati, Ida Bhaskara, I Made Adi Bhaskara, Made Adi Darma, I Gede Wira Darma, I Gede Wira Darma, Wira I Gede Dyana Arjana I Gede Wira Darma I Gusti Agung Putu Eryani I Gusti Ngurah Agung Widya I Made Adi Bhaskara I Made Kusuma Wiranata I Made Surya Kumara I Putu Suta Suyasa I Wayan Parwata I Wayan Runa Ida Ayu Dwinita Yoga Saraswati Kumara, Surya Kurniawan, I Putu Manik Made Sudarma Ni Putu Widya Yuniari Ni Putu Widya Yuniari Ni Putu Widya Yuniari Putri Suardani Putu Aryastana PUTU IKA WAHYUNI Raharja, Agus Wahyu Raharja, I Kadek Agus Wahyu Raharja, I Kadek Agus Wahyu Setianingsih, Ni Luh Putu Putri Tjok Gede Indra Partha Wayan Wahyu Adnyana Tamara Wui, Jackson Chang Hian Yuniari, Widya

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