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Rancang Bangun Sistem Informasi Rumah Tradisional Bali Berdasarkan Asta Kosala-Kosali Berbasis Web Sudana, Oka; Suryadana, Agus; Bayupati, Agung
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 7 No 5: Oktober 2020
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.2020711787

Abstract

Rumah tradisional Bali adalah bangunan yang memiliki ciri khas khusus yang difungsikan sebagai hunian yang merupakan salah satu cerminan kebudayaan yang tumbuh dan berkembang di Bali. Panduan pembangunan Rumah Tradisional Bali tertuang dalam Lontar Asta Kosala-Kosali dan Asta Bumi. Modernisasi berdampak dalam perubahan bentuk dan kebutuhan bangunan perumahan yang mengakibatkan penerapan Arsitektur Tradisional Bali semakin berkurang dan tidak memperhatikan nilai filosofis yang seharusnya, sehingga dikembangkan sistem informasi sebagai media pengenalan dan panduan penerapan Arsitektur Tradisional Bali. Sistem yang dikembangkan disesuaikan dengan konsep Asta Kosala-Kosali dan Asta Bumi. Sistem Informasi Rumah Tradisional Bali menyajikan berbagai macam informasi dan fitur mengenai penerapan Asta Kosala-Kosali dan Asta Bumi dalam Rumah Tradisional Bali yang dihadirkan dalam bentuk pemodelan 2 dimensi dan 3 dimensi. Sistem dapat memudahkan dalam pemahaman filosofi, aturan, tata cara, tata letak, dan tata bangunan Rumah Tradisional Bali serta mampu menjadi media pelestarian warisan budaya Bali khususnya dibidang arsitektur. Persentase tingkat kepuasan pengguna terhadap sistem rata-rata sebesar 87.24%.AbstractA traditional Balinese house is a building that has special characteristics that function as a residence which is a reflection of the culture that grew and developed in Bali. Guide to building Balinese Traditional Houses contained in Lontar Asta Kosala-Kosali and Asta Bumi. Modernization has an impact on changes in the shape and needs of residential buildings which have resulted in the application of Balinese Traditional Architecture diminishing and not paying attention to philosophical values that should be, so that information systems are developed as a medium of introduction and guidance on the application of Balinese Traditional Architecture. The system developed was adapted to the concept of Asta Kosala-Kosali and Asta Bumi. The Traditional Balinese House Information System presents various kinds of information and features regarding the application of Asta Kosala-Kosali and Asta Bumi in Balinese Traditional Houses which are presented in the form of 2-dimensional and 3-dimensional modeling. The system is expected to facilitate the understanding of the philosophy, rules, procedures, layout, and structure of traditional Balinese Houses as well as being able to become a medium for preserving the Balinese cultural heritage, especially in the field of architecture. Percentage of satisfaction level of users of the system by an average of 87.24%.
E-Dharmagita Learning Model Innovation with Mobile and Multimedia Technology Sudana, Oka; Sukma, Kd. Vigyan Melati; Wirdiani, Ayu; Putri, Gusti Agung Ayu
Scientific Journal of Informatics Vol 11, No 1 (2024): February 2024
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v11i1.46653

Abstract

Purpose: Yadnya ceremony is a sacred sacrifice performed with sincere and wholehearted devotion by Hindus to God, spiritual leaders or teachers, fellow humans, the ancestors, and Bhuta_Kala. The implementation of the Yadnya ceremony is_usually accompanied by a spiritual chant of the Hindus known as Dharmagita. Nowadays, a lot of young generations do not know and are even more indifferent to the Dharmagita. Using books as a source of Dharmagita information is less attractive since there are no audio examples or recordings of correct songs that can be listened to. The Android-based e-Dharmagita application was built to overcome these problems to facilitate the younger generation in getting more interesting information about Dharmagita.Methods: e-Dharmagita was constructed with the support of mobile and multimedia technology. In addition, the information presented was related to the Yadnya Ceremony by implementing a complex Tree Algorithm.Results: This research produced an e-Dharmagita Application, of which user acceptance testing using the PSSUQ Method resulted in a score incudes in the excellent category. Therefore, the application could be accepted well in the implementation the Information Technology in Balinese Culture and Hinduism, especially the innovation of a more modern and attractive Dharmagita learning model.Novelty: The Dharmagita learning model using a mobile application is a new model that has not existed before.
Integrated Information System Smart E: Hospital the Innovation and Improvement of the Services and Management Hospital Oka Sudana; Dewa Made Sri Arsa; R. Arif Yudarmawan; I.D.A. Manik Mas Astawastini
Lontar Komputer : Jurnal Ilmiah Teknologi Informasi Vol. 14 No. 03 (2023): Vol. 14, No. 03 December 2023
Publisher : Institute for Research and Community Services, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/LKJITI.2023.v14.i03.p01

Abstract

The use of technology can transform conventional systems into electronic-based systems. Electronic systems have been widely used in governance, organizations, and companies where administration is carried out electronically (e-Government). Hospitals usually already have systems in place, but they are not yet integrated, including integration with BPJS Services, EClaim, and the SATUSEHAT Platform, a new policy from the Ministry of Health Republic of Indonesia starting July 2022. BPJS integration includes diagnosis standards guided by Minister of Health Regulation No. 76 of 2016 concerning INA-CBGs Technical Guidelines, funds application to BPJS, cost proportions, and medical personnel fees. Another service at the Teaching Hospital is the management of Education for Professional Doctors (Co-ass) and Specialists (Residents). Another service at the Teaching Hospital is the management of Education for Professional Doctors (Co-ass) and Specialists (Residents). The solution provided is to create E-Hospital. It is an integrated hospital management information system with an SSO Model and Multi-Channel Access Technology for notification. This system consists of Front Office Modules, including Admission Queues, Medical Services, Pharmacy, Employment, Payroll and Medical Personnel Fees, Automatic integration with BPJS, EClaim, SATUSEHAT, Finance, and Warehouse and Equipment.
Strategi Penyetelan Hyperparameter untuk YOLOv8n dalam Pemantauan Lalu Lintas Pasca-Kecelakaan Real-Time I Nyoman Eddy Indrayana; Made Sudarma; I Ketut Gede Darma Putra; Anak Agung Kompiang Oka Sudana
Jurnal Teknologi Informasi dan Pendidikan Vol. 19 No. 2 (2026): Jurnal Teknologi Informasi dan Pendidikan
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jtip.v19i2.1132

Abstract

Traffic accidents continue to provide a considerable difficulty in contemporary transportation systems, frequently leading to vehicle damage and heightened risks for pedestrians on streets. Precise and instantaneous identification of post-accident scenarios is thus crucial for facilitating swift response and sophisticated traffic management. This research introduces a streamlined object detection methodology utilizing YOLOv8n to recognize six essential traffic-related categories: bus, automobile, damaged vehicle, motorbike, pedestrian, and truck. The main aim is to examine the impact of hyperparameter modification on detection efficacy, specifically in recognizing damaged automobiles as signs of post-accident situations. Twelve model configurations were created by systematically altering three hyperparameters: learning rate (0.01, 0.001, and 0.0001), batch size (32 and 64), and optimizer type (Adam and MuSGD). All models underwent training for 200 epochs with a dataset derived from actual traffic situations, augmented by techniques such as grayscale transformation, blurring, and rotation. The performance evaluation utilized precision, recall, F1-score, mAP50, and mAP50:95. The findings indicate that hyperparameter selection substantially influences convergence stability and detection accuracy. The optimal model attained a mAP50 of 0.905 and a mAP50:95 of 0.751, utilizing a learning rate of 0.01, a batch size of 64, and the Adam optimizer. Moreover, substantial items like cars, buses, and trucks were identified with high precision, whereas damaged vehicles and pedestrians necessitated more meticulous calibration due to increased visual variability.The findings indicate that optimized lightweight models can attain competitive performance, rendering them appropriate for real-time intelligent traffic monitoring applications.
Smart Stego: A Web Application for Hiding Secret Data in Images with LSB and CNN I Gede Totok Suryawan; Made Sudarma; I Ketut Gede Darma Putra; Anak Agung Kompiang Oka Sudana
International Journal of Engineering, Science and Information Technology Vol 5, No 4 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i4.1008

Abstract

This study develops a web-based steganography model to insert the identity of artisans in the form of palmprint images into the image of gringsing ikat woven cloth as a medium for ownership authentication. The method used in the insertion process combines a Convolutional Neural Network and the Least Significant Bit. In contrast, extracting or re-introducing palmprint images from stego images is carried out using a CNN-based classification model. This system was tested with two scenarios; in the first scenario, one palmprint image was inserted into 26 different cloth motifs, while in the second scenario, one cloth motif was inserted into 99 different palmprint images. The test results showed that the system produced consistent confidence values for all cloth motifs in the first scenario. In contrast, in the second scenario, the system achieved an average confidence of 93.5% and a recognition accuracy of 87%. The developed application has proven to be efficient with a reduction in stego image size of up to 66% while maintaining the quality of the stego image, as well as a speedy average execution time of 0.15 seconds for insertion and 0.09 seconds for extraction. These findings prove that the developed steganography model can effectively insert and re-recognize identity images (palmprints) in woven cloth images and has the potential to be applied as an image-based craft product ownership verification system.
Fine-tuned LayoutLMv3 for Indonesian receipts extraction Oka Sudana; Ayu Wirdiani; Andre Dwi Winama Putra
Bulletin of Electrical Engineering and Informatics Vol 15, No 2: April 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v15i2.10127

Abstract

Shopping is a transaction that generates a record as a payment receipt. Typically, a receipt is given as a small piece of paper that can be easily lost. It is essential to store the transaction information in the receipt digitally. Keeping the information in a digital form will make it easily accessible and will overcome the problem of easily lost receipts. Currently, the process of transferring receipt information into digital form is still being done manually. Having a system that can extract this information helps speed up the digitalization process tremendously. This research proposes a method that applies finetuning to the LayoutLMv3 model and with the help of optical character recognition (OCR) from Google Vision, can be used to extract transaction information contained in the receipt. The system works by using Google Vision to parse and segment every word contained within the receipt and its bounding box The LayoutLMv3 model will then assign labels to each word, and important words will be extracted. The finetuned LayoutLMv3 model successfully achieved an accuracy of 97.98% on training data and 90% accuracy on real-time test scenarios for extracting information on receipts written in the Indonesian.
Face Dermatological Disorder Identification with YoloV5 Algorithm Ayu Wirdiani; Lennia Savitri Azzahra Lofiana; I Putu Arya Dharmadi; Oka Sudana
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 9 No 4 (2025): August 2025
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v9i4.6237

Abstract

Dermatological disorders are common in humans. The accurate identification of skin diseases is paramount for determining the most efficacious treatment. This system can screen images of skin diseases on the face and provide analysis results in the form of object detection. Dermatological disorders of the face are classified into six categories: acne nodules, melasma, filiform warts, milia, papules, and pustules. The YoloV5 algorithm was selected because of its effectiveness in live-detection tasks. The image-enhancement process involves the implementation of two methodologies: sharpening and histogram equalization. The former adjusts the brightness values whereas the latter adjusts the contrast values. The dataset comprised 1,223 images of skin diseases, with 947 images allocated for training and 276 for validation. The optimal mAP of the filiform wart class was determined to be 87.6%, with values of 76.7% for pustules, 72% for papules, 71% for milia, 68% for nodules, and 38.2% for melasma, representing the lowest value. The low mAP of melasma was attributed to the abstract image data type and complexity of localization. The congruence of object features and disparity in data variance has the potential to influence outcomes.
Co-Authors A. A. Raka Onny Diar Danur C. A.A Primaningrat Gita Puspita A.A. Gede Brampramana Putra A.A. Ketut Agung Cahyawan W AA.Kt.Agung Cahyawan Wiranatha Adi, Ngurah Adityaksa, I Gede Made Abhi Agung Jodi Pratama Agus Ghana Putra Partama Akane Sasaoka Anak Agung Ketut Agung Cahyawan Wiranatha Ananda Paramartha Andre Dwi Winama Putra Angga Kusuma, Angga Anjela Faye M. Basco Arsa, Dewa Made Sri Astutik, Dian Awen Hariwijaya Ayu Wirdiani Bagus Yudistira Bayupati, Agung Daniel Hadi Darma Putra Desy Purnami S.P Dewa Made Wiharta Dewi, Ida Ayu Pradita Dharma Dyatmika Dwi Putra Githa Dwi Rusjayanthi, Dwi Erna Yulianti Gusti Agung A. Putri Gusti Agung Ayu Putri I Dewa Nym. Nurweda P., I Gede Totok Suryawan I Ketut Adi Purnawan I Ketut Gede Darma Putra I ketut Gede Darma Putra I Made Sukarsa I Made Sunia Raharja, I Made Sunia I Made Suwija Putra I Made Wahyu Saputra I Nyoman Artha Wijaya I Nyoman Eddy Indrayana I Nyoman Piarsa I Pt. Pradnya Pratisditha Ning Parwa I Putu Agung Bayupati I Putu Arya Dharmaadi I Putu Arya Dharmadi I Putu Putra Diyastama I Putu Sura Sanjaya I Wayan Gunaya I. A. K. Sita Laksmita I.D.A. Manik Mas Astawastini I.W. Wahyu Ivan M.J Ida Ayu Wahyu Kumara Putri Ida Bagus Brama Barnawa Irwansyah Cahya Irwansyah Cahya Adha L Kadek Bagus Budi Sasmara Kadek Suar Wibawa Ketut Nila Arta Kevin Wijaya Krisna Cahaya Putra I Putu Krissna Bayu Kusuma Putra, I Gede Angga Lennia Savitri Azzahra Lofiana Made Praditha Gutama Made Sudarma Made Sudarma Made Sukarsa Mahardhika Tirta Mahardika, Oka Minho Jo Ni Kadek Ary Indah Suryani Ni Kadek Giofanni Chandra Devi Ni Kadek Riska Sadini Ni Komang Surya Cahyani Putri Ni Made Ika Marini Mandenni Ni Putu Ratna Gangga Dewi Ni Putu Sutramiani Ni Putu Utari Dyani Laksmi Paramartha, Ary Pratama, I Putu Adi Merta Pratiwi, Putu Ayu Citra Primanggara Gamaswara Purba, Maria Br Purnawan, Abdi Putra, I Made Suwija Putu Anantha Prasetya Yogantara Putu Wira Buana R. Arif Yudarmawan Raharja, Sunia Rahayu Widasari, Made Bandem Yosita Rukmi Sari Hartati Rusjayanthi, Ni Kadek Dwi Shilta Inda Qurroti A'yun Achmadi Sukma, Kd. Vigyan Melati Suryadana, Agus Taradhita, Dewa Ayu Nadia Wahyu Hardinugraha Wayan Galih Pratama Wijayakusuma, I Gusti Ngurah Lanang Wiranatha, Agung Agung Ketut Cahyawan Yonatan Adiwinata