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All Journal Techno.Com: Jurnal Teknologi Informasi JUTIK : Jurnal Teknologi Informasi dan Komputer Jurnal RESISTOR (Rekayasa Sistem Komputer) Jurnal Pelayanan dan Pengabdian Masyarakat (Pamas) Progresif: Jurnal Ilmiah Komputer Journal of Applied Data Sciences Journal of Community Development Jurnal Abdiraja Journal of Infrastructure Planning and Engineering Proceeding Applied Business and Engineering Conference
I Made Surya Kumara
Warmadewa University
Religion Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Nursing Physics Public Health Social Sciences Transportation Other

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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

Abstract

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
INTEGRATING BIM WITH 3D WEB DESIGN FOR ENHANCED 3D BUILDING VISUALIZATION AND SAFETY PLANNING IN CONSTRUCTION PROJECTS I Made Surya Kumara; I Kadek Agus Wahyu Raharja; Harry Chan
Journal of Infrastructure Planning and Engineering (JIPE) Vol. 3 No. 1 (2024)
Publisher : Master Program of Infrastructure and Environmental Engineering, Postgraduate Program, Warmadewa University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22225/jipe.3.1.2024.18-23

Abstract

The construction industry is renowned for its hazardous nature, with a significant number of accidents occurring annually. These accidents result in serious consequences, including costs for disability benefits, decreased worker productivity, and idle equipment, hindering development. To address these challenges, safety must be a priority during the construction planning stage. Occupational Health and Safety (OSH) programs play a crucial role in ensuring worker safety and health. Building Information Modeling (BIM) has emerged as a technology that can significantly improve safety in construction projects. BIM provides detailed information and visualizations that help identify potential hazards and develop effective mitigation strategies. However, its implementation in Indonesia is still limited to level 1 BIM, primarily involving 2D and 3D CAD drafting. To enhance 3D building visualization and safety planning, this paper proposes integrating BIM with three.js and ReactJS. Three.js is a JavaScript library that enables the creation of 3D visualizations in web browsers, while ReactJS is used to build user interfaces in web applications. By combining these technologies, interactive web applications can be developed to display 3D buildings in real-time. This allows users to easily view building designs, identify potential hazards, and make informed decisions regarding safety measures. Furthermore, the Industry Foundation Classes (IFC) file format is utilized for data exchange in the BIM environment. IFC contains building geometry information, material properties, and other relevant data, enabling collaboration among project teams using different software. This integration enhances collaboration and facilitates more informed decision-making in construction projects. The results demonstrate efficient 3D rendering of BIM models with an average response time of 0.8 seconds, as well as real-time visualization of worker positions within buildings based on sensor data.
Perbandingan Algoritma Dijkstra dan Floyd-Warshall Menggunakan Software Defined Network untuk Rute Terpendek Bhaskara, I Made Adi; Kumara, I Made Surya; Darma, I Gede Wira; Raharja, I Kadek Agus Wahyu
Jurnal RESISTOR (Rekayasa Sistem Komputer) Vol. 7 No. 2 (2024): Jurnal RESISTOR Edisi Agustus 2024
Publisher : Prahasta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31598/jurnalresistor.v7i2.1623

Abstract

Perkembangan teknologi jaringan yang pesat telah mendorong lahirnya arsitektur Software Defined Network (SDN) yang memungkinkan mengatur dan mengontrol jaringan melalui perangkat lunak terpusat. Dengan SDN, administrator jaringan dapat mempercepat koneksi dan mengelola lalu lintas jaringan dari satu lokasi pusat tanpa harus mengakses perangkat keras secara langsung. Openflow adalah protokol komunikasi yang memungkinkan pengawasan dan kontrol penuh terhadap jaringan. Urgensi dari penelitian ini terletak pada kebutuhan untuk menentukan jalur terpendek secara efisien dalam SDN agar mendapatkan performa jaringan yang terbaik. Algoritma Dijkstra sering digunakan dalam SDN untuk menentukan jalur terpendek, namun Algoritma Floyd-Warshall juga dapat digunakan dengan pendekatan pemrograman dinamis. Penelitian dilakukan untuk membandingkan kedua algoritma ini dalam memperoleh jalur terpendek pada SDN. Metode yang digunakan yakni pertama, Algoritma Floyd-Warshall diubah menjadi Algoritma Dijkstra pada controller. Kemudian, dibangun tiga skema topologi jaringan menggunakan mininet, masing-masing terdiri dari dua host (host awal dan tujuan), satu controller, dan beberapa switch. Pengujian dilakukan pada controller dengan algoritma berbeda menggunakan tools POX pada tiga skema topologi jaringan. Pada penelitian ini diperoleh untuk mendapatkan jalur terpendek pada SDN, Algoritma Dijkstra terbukti lebih unggul dibandingkan Algoritma Floyd-Warshall. Dengan ini menunjukkan bahwa pemilihan algoritma yang tepat pada controller SDN dapat meningkatkan efisiensi jaringan.
Integrate Yolov8 Algorithm For Rupiah Denomination Detection In All-In-One Smart Cane For Visually Impaired Kumara, I Made Surya; Jati, Gde Putu Rizkynindra Sukma; Yuniari, Ni Putu Widya
Techno.Com Vol. 23 No. 1 (2024): Februari 2024
Publisher : LPPM Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62411/tc.v23i1.9734

Abstract

The eyes are crucial tools for human observation and perception, facilitating various tasks in daily life. Individuals, including those with visual impairments or blindness, engage in currency transactions, posing challenges in recognizing notes and preventing mishaps with counterfeit money. Despite government efforts, features like embossing on banknotes have limited effectiveness due to the circulated currency's disheveled condition. Addressing the visually impaired community's needs is imperative. An innovative solution, the "all-in-one smart white cane," integrated with machine learning supports daily activities, enhancing independence for visually impaired individuals. The YOLOv8 algorithm is employed for the precise detection of monetary denominations, subsequently recorded through a camera and seamlessly integrated into a smart cane, resulting in a consolidated device. This device, designed with standout features, excels in detecting Indonesian Rupiah banknote denominations. Detection performance testing, incorporating methods like object rotation, utilized a dataset divided into training (70%), validation (20%), and test (10%) segments. Modifications to contrast and variability rotation are essential in the context of real-time nomination recognition. These adjustments are implemented to ensure accurate and swift identification in dynamic, real-world scenarios. Testing results reveal a 99% average accuracy in recognizing currency note denominations, presenting an effective solution for the visually impaired community.
LoRaWAN-Based Fishing Zone Violation Monitoring System for Traditional Fishing Vessels in the Malacca Strait Enda, Depandi; Kurniati, Rezki; Kumara, I Made Surya
ABEC Indonesia Vol. 12 (2024): 12th Applied Business and Engineering Conference
Publisher : Politeknik Negeri Bengkalis

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

Abstract

The fisheries and marine sectors are among the potential sectors that Indonesia possesses. Fishermen, as theprimary drivers of the maritime field, play an important role in the country's economy. As a sovereign nation, thegovernment is expected to ensure and protect the safety of fishermen, particularly traditional fishermen who carry outfishing activities in Indonesian territorial waters. However, there are still many issues encountered in the field. One of themis the violation of fishing zones by traditional fishing vessels. With the numerous cases of fishing zone violations occurring,at least two main factors contribute to these violations: the lack of information regarding the permitted fishing zones thatare still within Indonesia's territorial waters and the limited availability of navigation tools such as GPS and AIS, whichmany fishermen do not possess, preventing them from accurately knowing their position while fishing and whether theyhave exited the permitted zones. A fishing zone violation monitoring system is greatly needed to provide solutions to thisproblem. This study aims to design a monitoring system for fishing zone violations by traditional fishing vessels usingLoraWAN technology as a communication device. The designed system will automatically provide early warnings fromthe Lora-Gateway to traditional fishermen who are fishing outside the designated zones through the Lora-Transponderdevice installed on the fishing vessels. The system will monitor every movement of vessels violating the fishing zone byutilizing the mapping data of Fishing Zone coordinates, stored in a real-time coordinate database. The monitoring systemwill also automatically send notifications as an early warning system if there are traditional fishing vessels that exit thelegally established fishing zones by the government, referring to Indonesia's Exclusive Economic Zone (ZEE) of 200nautical miles from the baseline coast. With this real-time monitoring system, it is expected to assist government agenciesand stakeholders in monitoring the fishing activities of traditional fishing vessels, especially in the Malacca Strait region.
Environment Sentiment Analysis of Bali Coffee Shop Visitors Using Bidirectional Encoder Representations from Transformers (BERT) and Generative Pre-trained Transformer 2 (GPT2) Model Yuniari, Ni Putu Widya; Iswari, Ni Made Satvika; Kumara, I Made Surya
Journal of Applied Data Sciences Vol 5, No 4: DECEMBER 2024
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v5i4.302

Abstract

Bali is one of the provinces with the most abundant natural and cultural wealth in Indonesia. One commodity that supports it is coffee. Bali Coffee is not only a gastronomic identity, but also a cultural identity which makes it have added value to be developed into various business lines. One business derivative that is quite promising is a coffee shop. However, these favorable conditions also need to be maintained to ensure good quality reaches consumers. One thing that can do is analyze reviews from customers. One of the most popular methods is Sentiment Analysis. This technique allows business to analyze customer reviews on social media. It can be a feedback to maintaining and improving quality and good relationships with customers. This research aims to create a machine learning model to analyze customer reviews at several coffee shops in Bali which are divided into three labels, namely: positive, negative and neutral. The methods used are: scraping, cleaning, stopword removal, embedding, undersampling, and modeling. The algorithms used are Bidirectional Encoder Representation from Transformer (BERT) and Generative Pre-trained Transformers (GPT). The performance metrics used in this research are precision, recall, accuracy and loss. This research succeeded in creating a sentiment analysis model for coffee shop customers in Bali. The BERT model obtained an accuracy value of 78% without undersampling with a loss in the 10th iteration of 0.27. Meanwhile, the BERT model with undersampling obtained an accuracy value of 32.85% with a loss in the 10th iteration of 0.16. The GPT2 model without undersampling gets an accuracy of 78% with a loss in the 10th iteration of 0.25. Meanwhile, the GPT model with undersampling obtained an accuracy value of 32.85% with a loss in the 10th iteration of 0.15.
Analisis Performa Siswa dalam E-Learning Kumara, I Made Surya; Nataraj, Kannan; Yuniari, Ni Putu Widya; Suhendro, Jauzaa Maylia; Mahaputra, I Gusti Agung Made Yoga; Enda, Depandi
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.v21i1.2569

Abstract

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Analisis Performa Siswa dalam E-Learning Kumara, I Made Surya; Nataraj, Kannan; Yuniari, Ni Putu Widya; Suhendro, Jauzaa Maylia; Mahaputra, I Gusti Agung Made Yoga; Enda, Depandi
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.v21i1.2569

Abstract

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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

Abstract

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

Abstract

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\
Co-Authors A A JE Veggy Priyangka agustini, komang ayu Bhaskara, I Made Adi Bhaskara, Made Adi Darma, I Gede Wira Darma, I Gede Wira Depandi Enda Harry Chan I Gede Sadia Dwi Ratmaja I Gede Wira Darma I Kadek Agus Wahyu Raharja I Made Adi Bhaskara Jati, Gde Putu Rizkynindra Sukma Mahaputra, I Gusti Agung Made Yoga Nataraj, Kannan Ni Made Satvika Iswari Ni Putu Widya Yuniari Ni Putu Widya Yuniari Ni Putu Widya Yuniari Putu Aryastana Raharja, I Kadek Agus Wahyu Raharja, I Kadek Agus Wahyu Rezki Kurniati, Rezki Setianingsih, Ni Luh Putu Putri Suhendro, Jauzaa Maylia Sulistiana, Putu Didik Wikan Pradnya Dana, Gde