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All Journal International Journal of Electrical and Computer Engineering IAES International Journal of Robotics and Automation (IJRA) International Journal of Informatics and Communication Technology (IJ-ICT) Jurnal Reviu Akuntansi dan Keuangan Jurnal Ilmu Komputer Jurnal SPEKTRUM Ecotrophic, Journal of Environmental Science TELKOMNIKA (Telecommunication Computing Electronics and Control) Bulletin of Electrical Engineering and Informatics JURNAL MANAJEMEN AGRIBISNIS PROSIDING CSGTEIS 2013 Jurnal Ilmiah Mahasiswa FEB TEMA (Jurnal Tera Ilmu Akuntansi) Infestasi Jurnal Akuntansi Aktual JUTIK : Jurnal Teknologi Informasi dan Komputer SINTECH (Science and Information Technology) Journal Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) Journal of Computer Science and Informatics Engineering (J-Cosine) Logic : Jurnal Rancang Bangun dan Teknologi International Journal of Engineering and Emerging Technology Jurnal Manajemen Indonesian Journal of Electrical Engineering and Computer Science ARRUS Journal of Social Sciences and Humanities Reviu Akuntansi, Keuangan, dan Sistem Informasi Jurnal SPEKTRUM KREATIF: Jurnal Pengabdian Masyarakat Nusantara Lontar Komputer: Jurnal Ilmiah Teknologi Informasi
Made Sudarma
Udayana 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 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 Mechanical Engineering Social Sciences

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Balinese Script’s Character Reconstruction Using Linear Discriminant Analysis Made Sudarma; Sri Ariyani; Manuh Artana
Indonesian Journal of Electrical Engineering and Computer Science Vol 4, No 2: November 2016
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v4.i2.pp479-485

Abstract

Balinese people have one of the civilization history and cultural heritage are handwritten in Balinese script on palm leaves known as Balinese Papyrus (LontarAksara Bali). Until now that cultural heritage is still continuously strived its preservation along with the implementation begin to be abandoned in public life. Some of Balinese Papyrus now begin to rot and fade under influenced by age. Information technology utilization can be a tool to solve the problems faced in the preservation of the Balinese papyrus. By using digital image processing techniques, the papyrus script can be reconstructed digitally so that it can be retrieved and store the content in the digital media. Balinese papyrus reconstructed through several processes from scanning into a digital image, performing preprocessing for image quality improvement, segmenting the Balinese characters on image, doing character recognition using LDA algorithm, rearranging the result of recognition in accordance with the original content in papyrus, and translating that characters result into Latin. LDA algorithm quite successfully performs the classification associated with handwritten character recognition.
Forecasting rupiah exchange rate with learning vector quantization neural network Linawati Linawati; Made Sudarma; I Putu Oka Wisnawa
Indonesian Journal of Electrical Engineering and Computer Science Vol 18, No 1: April 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v18.i1.pp24-31

Abstract

The classification technique and data forecasting will probably be one of the techniques that will often be needed in handling or managing big data. So, from that the author analyzes the possible development of the existing algorithms. The purpose is to find possibilities in the use of reliable algorithms in a particular field, then can be adopted and implemented to develop forecasting techniques in the future. Based on these considerations, the authors conducted experiments by applying LVQNN to conduct shortterm forecasting on daily period of the Rupiah exchange rate. The literature that is used as a reference is the discovery of architectural data classification processes that resemble forecasting techniques. So, when there is a combination of Rupiah exchange histories, it is possible to find these combinations into certain classes based on predetermined parameters and historical data combination data and forecast values in the past. In this research the factors chosen as indicators that affect the Rupiah exchange rate are the amount of exports, the amount of imports, the inflation rate and also the world oil price. In this research the highest accuracy value in the testing process for the population reached 99.0991%. The increase in the percentage value of forecasting accuracy is influenced by the composition of the data. In this study the formation of data composition is influenced by distinct data. The selection of parameters which become distinct claused determines how the composition of the data will be formed. If the composition of the data is not correct, the test results will not be good. If the number of weights vector is smaller than the input data, the forecasting accuracy will decrease. Because the weight vector cannot represent data combinations that used during training or testing.
Identifying of the Cielab Space Color for the Balinese Papyrus Characters Made Sudarma
Indonesian Journal of Electrical Engineering and Computer Science Vol 13, No 2: February 2015
Publisher : Institute of Advanced Engineering and Science

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

Abstract

Balinese papyrus is one of the media to write the ideas from minstrels in ancient times. Currently, many ancient literatures which are written in the papyrus, that also very difficult to identify because the writings were beginning to rot or fade influenced by age. In this study takes the Balinese papyrus characters as its object. The improvement of the image quality in image processing of the characters here refers to the change for the quality of the image before its next development. There is the process of identifying the color space to spot the shape of the papyrus characters. The difference of the colors is so small so that it needs CIELab to process the identification out of its background and noise. DOI:  http://dx.doi.org/10.11591/telkomnika.v13i2.7086 
The Implementation of Hybrid Neuro Fuzzy Membership Function Analysis for Predicting Player Emotional Intelligence of Balinese Game Model I Nyoman Putu Suwindra; I Ketut Gede Darma Putra; Made Sudarma; Nyoman Putra Sastra
International Journal of Engineering and Emerging Technology Vol 6 No 2 (2021): July - December 2021
Publisher : Doctorate Program of Engineering Science, Faculty of Engineering, Udayana University

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Abstract

This paper aims to examine the application of Neuro fuzzy membership function analysis to predict the emotions of children who like to play games. The game that has been developed is a type of game based on Balinese local wisdom, which innovates the Balinese culture-based legend I Rajapala. Rajapala who married an angel had a son named Durma. Rajapala and Durma are used as game characters that can be played on behalf of game players. Game-factor and emotional variable data were collected using a questionnaire integrated into the game system, as well as motivational data from points achieved and the use of time recorded in the game system. The data were analyzed by Sugeno Neuro Fuzzy system with hybrid and backpropagation methods. The results obtained are as follows: (1) Emotional Balinese game players can be predicted from game-factors and motivations of game players. This was shown from the FIS output (Eo) of the neuro fuzzy training analysis and the RMSE (Eo=36.8; RMSE=4.6610), the testing analysis was (Eo=33.0; RMSE=4.4528), and the checking analysis was (Eo=37.8; RMSE=4.7479) with a difference of less than 13% (training=2.72%; testing=3.0%, and checking=12.77%). In other words, if it is analyzed descriptively was (M=37.83; SD=5.3573), the output of neuro fuzzy is obtained more than 87.23%. (2) The emotional level of the child was categorized as a positive, the child's motivation was moderate and the response to the game was positive. These findings can be taken into consideration in choosing the type of game to be played in order to increase motivation and control children's emotions. Besides that, innovating games based on local wisdom is expected to preserve local Balinese culture.
Effect on signal magnitude thresholding on detecting student engagement through EEG in various screen size environment I Putu Agus Eka Darma Udayana; Made Sudarma; I Ketut Gede Darma Putra; I Made Sukarsa
Bulletin of Electrical Engineering and Informatics Vol 12, No 4: August 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v12i4.4850

Abstract

In this study, a new method was developed to detect student involvement in the online learning process. This method is based on convolutional neural network (CNN) as a classifier with an emphasis on the preprocessing process combined with a new feature in the form of signal magnitude area (SMA) thresholding. In this study, the data used as training data is a public dataset that emphasizes the decomposition of electroencephalography (EEG) signals into individual signal processing. Twenty subjects were taken to be used as test data, with each subject watching online learning lectures in the field of computer science on three different devices, either with a flat screen, a curved screen or a smartphone screen that is smaller than two standard computer monitors. Based on the study's results, it is known that the change in screen size is inversely proportional to the level of student attention, the smaller the screen, the lower the student's attention. For classification results, the model equipped with SMA thresholding outperformed the standard classifier by 8.33% with a test set of 20 people.
Trends, Technology, and Implementation of Digital Counseling in a Human Mental Health Agus Aan Jiwa Permana; Rukmi Sari Hartati; Made Sudarma; I Made Sukarsa
Jurnal Nasional Pendidikan Teknik Informatika : JANAPATI Vol. 12 No. 1 (2023)
Publisher : Prodi Pendidikan Teknik Informatika Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/janapati.v12i1.60163

Abstract

This research discusses various trends, methods, and implementation of the art of digital-based counseling services. With increasing public awareness of mental health, since the womb, parents have thought about how to form good character and mental health for their children. Purpose of this study is to utilize digital counseling services to help early detection of depression and the resilience of children and adolescents in dealing with life's problems. This research collects articles according to the topic, then looks at cases handled, types of data, and methods used in both synchronous and asynchronous-based digital counseling. The next stage is research grouping based on research objects, data, methods, results, and deficiencies in research. The focus of the research is on cases of depression, and resilience, with machine learning methods. Digital counseling has been widely used for early detection in cases of depression, drug abuse, youth suicide, and alcohol addiction among adolescents
Factors Affecting Employee Performance PT Karya Pak Oles Tokcer Production Division Denpasar Casya Nova Nitali Ginting; Made Sudarma; Ida Ayu Listia Dewi
JURNAL MANAJEMEN AGRIBISNIS Vol 11 No 01 (2023): Jurnal Managemen Agribisnis
Publisher : Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JMA.2023.v11.i01.p04

Abstract

Tujuan dari penelitian ini adalah untuk mengetahui bagaimana pengaruh kompensasi, motivasi kerja dan lingkungan kerja terhadap kinerja karyawan PT Karya Pak Oles Tokcer Divisi Produksi Denpasar. Jumlah sampel dalam penelitian ini sebanyak 30 responden, dengan metode sampling jenuh (sensus). Pengambilan data dengan wawancara, dokumentasi serta kuesioner dimana variabel diukur melalui pemberian skor 1-3. Analisis data dimodelkan ke dalam model SEM (Structural Equation Modeling) dengan menggunakan software SmartPLS.3.0. Hasil penelitian menunjukkan bahwa kompensasi, motivasi kerja dan lingkungan kerja berpengaruh secara positif dan signifikan terhadap kinerja karyawan. Hasil dari variabel kompensasi dilihat dari nilai t-statistik > T tabel (1,96) sebesar 4.771 dan diperoleh original sampel positif sebesar 0.523,motivasi kerja yang dapat dilihat dari nilai t-statistik > T tabel (1,96) sebesar 2.475 dan diperoleh original sampel positif sebesar 0.308 lingkungan kerja yang dapat dilihat dari nilai t-statistik > T tabel (1,96) sebesar 2.597 dan diperoleh original sampel positif sebesar 0.402. Berdasarkan nilai original sampel pada penelitian memperlihatkan bahwa faktor yang paling mempengaruhi kinerja karyawan yaitu kompensasi.
Implementation of an Information System for Transaction Data Analysis Using the Holt-Winters Method Murpratiwi, Santi Ika; Rukmi Sari Hartati; Made Sudarma
Journal of Computer Science and Informatics Engineering (J-Cosine) Vol 7 No 2 (2023): Desember 2023
Publisher : Informatics Engineering Dept., Faculty of Engineering, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jcosine.v7i2.573

Abstract

Decision-making errors are fatal in company operations and often result in reduced profits. In making the right decisions, in-depth internal and external data analysis is required. One effort to increase decision-making accuracy is to apply a forecasting algorithm for existing transaction data. This research uses data mining and Forecasting for car repair companies. The information system being built is expected to be able to display a list of satisfied customer data, group transaction data based on the level of damage, and provide forecasts for the number of panels, number of units, and total revenue for the next period. From this data, it will be easier for management to determine the number of workers, additional tools, and stock of materials for the vehicle repair process. This information system was built by applying three algorithms, namely C4.5, K-Means, and Holt Winter Multivariate. The C4.5 algorithm will help group customer types, K-Means will help cluster vehicle damage levels, and Holt-Winters will be used for experience. The tests carried out included testing the accuracy of each algorithm, the black box system, and the system time so that the accuracy results were 100% for the C4.5 classification algorithm and 92.28% for the accuracy of K-Means which was tested with the purity measure. Meanwhile, the MAPE value for forecast testing was between 9 – 11% for each forecast.
Analisis Penerapan Psak 73 Terhadap Kinerja Keuangan Perusahaan Subsektor Maskapai Penerbangan Josep Geas Sapalatua; Made Sudarma
Reviu Akuntansi, Keuangan, dan Sistem Informasi Vol. 3 No. 2 (2024): Reviu Akuntansi, Keuangan, dan Sistem Informasi (REAKSI)
Publisher : Fakultas Ekonomi dan Bisnis Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/reaksi.2024.3.2.288

Abstract

This study aims to analyze the effect of PSAK 73 implementation on the financial performance of airline companies listed on the Indonesia Stock Exchange (IDX). This study employs qualitative descriptive method with a case study approach to analyze financial performance before and after the implementation of PSAK 73. Financial performance is assessed based on financial ratios consisting of debt to assets ratio (DAR), debt to equity ratio (DER), return on asset ratio (ROA), and return on equity ratio (ROE). The results of the study exhibit increased total assets and total liabilities for all of the airline companies and decreased equity of most of the airline companies after the implementation of PSAK 73. In terms of financial ratios, the implementation of PSAK 73 decreases the financial performance of airline companies, indicated by the weakening of the financial ratios: an average increase in solvency ratios consisting of DAR and DER, and an average decrease in profitability ratios consisting of ROA and ROE for all of the airline companies.   Abstrak Penelitian ini bertujuan untuk menganalisis dampak penerapan PSAK 73 terhadap kinerja keuangan perusahaan pada subsektor maskapai penerbangan yang terdaftar di Bursa Efek Indonesia (BEI). Penelitian ini menggunakan metode deskriptif kualitatif dengan pendekatan studi kasus untuk menganalisis kinerja keuangan sebelum dan setelah penerapan PSAK 73. Kinerja keuangan dinilai berdasarkan rasio keuangan yang terdiri dari rasio liabilitas pada aset (DAR), rasio liabilitas pada ekuitas (DER), rasio imbal hasil atas aset (ROA), dan rasio imbal hasil atas ekuitas (ROE). Hasil penelitian menunjukan bahwa terjadi peningkatan pada total aset dan liabilitas pada perusahaan subsektor maskapai penerbangan dan penurunan ekuitas pada sebagian besar perusahaan subsektor maskapai penerbangan setelah penerapan PSAK 73. Sementara dari sisi rasio keuangan, penerapan PSAK 73 menyebabkan penurunan pada kinerja keuangan perusahaan subsektor maskapai penerbangan, yang ditunjukkan dengan melemahnya rasio keuangan, yaitu peningkatan secara rata-rata pada rasio solvabilitas, yang terdiri dari DAR dan DER, dan penurunan secara rata-rata pada rasio profitabilitas, yang terdiri dari ROA dan ROE pada perusahaan subsektor maskapai penerbangan.
MSMEs in Digital Transformation: Determinants of QRIS E-Payment Acceptance Fauziah, Farah; Made Sudarma; Erwin Saraswati
Jurnal Manajemen Vol. 29 No. 2 (2025): June 2025
Publisher : Fakultas Ekonomi dan Bisnis, Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/jm.v29i2.2681

Abstract

This study is using a combination of TAM and TPB to explore the intention to use QRIS electronic payments among SMEs in Malang. The sample was collected through a survey and a representative sample of 155 SMEs was obtained. This study used SEM-PLS to analyze the construct model. The results stated that perceived usefulness, subjective norms and digital literacy significantly affect the intention to be using QRIS electronic payments. The results also show that intention to use QRIS and digital literacy significantly affect digital transformation. Interestingly, perceived convenience has the opposite effect in this study. Other factors influencing the adoption of electronic payments by SMEs and their impact on digital transformation should be explored in the future. This study should help to understand and enrich the theoretical framework so that it can be applied to increase the use of digital payments QRIS and increase digital transformation in the SME sector.
Co-Authors A. A. K. Oka Sudana A.A Ngurah Narendra A.A Raka Novi Aristi Adi Darmawan Ervanto Adinata Mas Pratama Aggry Saputra Aggry Saputra Agus Aan Jiwa Permana Agus Dharma Ahmad Catur Widyatmoko Ajeng Anandra Anak Agung Kompiang Oka Sudana Anak Agung Ngurah Prawira Yudha Andrew Sumichan Andrew Sumichan Ari Kamayanti Ariyady Kurniawan Muchsin Asri Prameshwari Casya Nova Nitali Ginting Charolina Devi Oktaviana Soleman Charolina Devi Oktaviana Soleman Dandy Pramana Hostiadi Darma Kotama, I Nyoman Darma Putra Dea Novim Kartikasari Dewa Ayu Putri Wulandari Dewa Made Wiharta Dima Nurfitri Apriani Dita Rizky Prahayuningtyas Duman Care Khrisne Erwin Saraswati Faraz Muhammad Aulia Fauziah, Farah Ferry Angga Irawan Gde Brahupadhya Subiksa Hanif Prio Ariantono Hardi yusa Hisyam Rahmawan Suharno Hisyam Rahmawan Suharno I Dewa Made Krisnayana I Dewa Nyoman Anom Manuaba I Dewa Nyoman Anom Manuaba I Gede Abi Yodita Utama I Gede Adnyana I Gede Harsemadi I Gede Herry Juniartha I Gede Sujana Eka Putra I Gede Totok Suryawan I Gede Wira Darma I Gst Agung Alit Wismaya I Gusti Agung Gede Mega Perbawa I Gusti Agung Indrawan I Gusti Agung Komang Diafari Djuni Hartawan I Gusti Kade Harta Kesuma Wijaya I Gusti Made Panji Indrawinatha I Gusti Ngurah Adhy Pradhana I Gusti Ngurah Agung Jaya Sasmita I Gusti Ngurah Agung Surya Mahendra I Gusti Ngurah Agung Surya Mahendra I Gusti Ngurah Gede Agung Suniantara I Gusti Ngurah Rai Dharma Widhura I Gusti Rai Agung Sugiartha I Kadek Agung Bagus Satria Bumi Kelana I Kadek Arya Wiratama I Kadek Dwi Gandika Supartha I Kadek Sastrawan I Kadek Yuda Setiadi I ketut Gede Darma Putra I Ketut Putra Swastika I Komang Yogi Sutrisna I Made Adi Bhaskara I Made Arsa Suyadnya I Made Artawan I Made Budi Sentana I Made Cakra Pustaka1 I Made Dwi Ardiada I Made Dwi Jendra Sulastra I Made Gede Yudiana I Made Gede Yudiyana I Made Oka Widyantara I Made Sukarsa I Made Sukarsa I N Satya Kumara I Nyoman Adi Putra I Nyoman Gunantara I Nyoman Putu Suwindra I Putu Adi Pradnyana Wibawa I Putu Agung Bayupati I Putu Agus Eka Darma Udayana I Putu Agus Eka Darma Udayana, I Putu Agus Eka I Putu Agus Priska Suryana I Putu Alit Putra Yudha I Putu Arya Putrawan I Putu Astya Prayudha I Putu Gd Sukenada Andisana I Putu Oka Wisnawa I Putu Putra Diyastama I Putu Putrayana Wardana I Putu Sugi Almantara I Putu Warma Putra I Wayan Agus Surya Darma I Wayan Eka Krisna Putra I Wayan Suarna Ida Ayu Dwi Giriantari Ida Ayu Listia Dewi Ida Ayu Putu Febri Imawati Ida Bagus A. Swamardika Ida Bagus Agung Eka Mandala Putra Ida Bagus Dwijaya Kesuma Ida Bagus Gede Manuaba Ida Bagus Gede Widnyana Putra Ida Bagus Leo Mahadya Suta Ida Bagus Leo Mahadya Suta Ida Bagus Leo Mahadya Suta Ida Bagus Surya Paramarta IGAM Yoga Mahaputra Irvan Dinda Prakoso Irwansyah Cahya Irwansyah Cahya Adha L Iskandar, Adi Panca Saputra Isnan Murdiansyah IW Dani Pranata Jauzaa Maylia Suhendro Josep Geas Sapalatua Kadek Ary Budi Permana Kadek Ary Budi Permana Kadek Ary Budi Permana Kadek Ary Budi Permana Kheri Arionadi Shobirin Komang Agus Putra Kardiyasa Komang Ayu Triana Indah Komang Budiarta Komang Budiarta Komang Budiarta Komang Isabella Anasthasia Komang Nova Artawan Komang Oka Saputra Komang Sri Utami Lanang Bagus Amertha Lanang Bagus Amertha Leonardus Guido Adi Wungo Lie Jasa Linawati Linawati Luh Gede Putri Suardani Luh Ria Atmarani M. Azman Maricar Made Dinda Pradnya Pramita Made Dinda Pradnya Pramita Made Pasek Agus Ariawan Made Pradnyana Ambara, Made Pradnyana Made Sri Indradewi Adnyana Manuh Artana Michael Tanduk Langi Londong Allo Minho Jo Minho Jo Minho Jo Mirna Amirya Muhammad Ridwan Satrio Murpratiwi, Santi Ika Naser Jawas Nengah Widiangga Gautama Ni Ketut Novia Nilasari Ni Komang Sri Julyantari Ni Komang Sukri Antariani Ni Luh Gede Pivin Suwirmayanti, S.Kom, MT, Ni Luh Gede Pivin Ni Luh Ratniasih, Ni Luh Ni Made Ananda Putri Pratiwi Ni Made Ari Lestari Ni Made Dwi Antari Ni Putu Sutramiani Ni Wayan Lusiani Ni Wayan Sri Ariyani Nurkholis - Nyoman Dewi Ayu Ratih Arya Dewanti Nyoman Gede Yudiarta Nyoman Paramaita Nyoman Pramaita Nyoman Putra Sastra Nyoman Swastika Dharma Pande Made Sutawan Philipus Novenando Mamang Weking Purwania Ida Bagus Gede Putri Sintya Dewi Putri Suardani Putu Agung Ananta Wijaya Putu Angelina Widya Putu Arya Mertasana Putu Bagus Satria Paramartha Putu Risanti Iswardani Putu Wirya Kastawan R. Sapto Hendri Boedi Soesatyo Reni Surmayanti Ricky Aurelius Nutanto Diaz, Ricky Aurelius Rifky Lana Rahardian Risky Aswi R, Risky Rizal W.H. Siagian Rizky Muharram Julyanto Rodrick Benediktus Kainama Roekhudin, Roekhudin Rukmi Sari Hartati Rukmi Sari Hartati Tria Hikmah Fratiwi Vony Wahyunurani Wahyudin Wahyudin Wayan Gede Ariastina Wikan Pradnya Dana, Gde Y. Yuliati Yogiswara Dharma Putra Yogiswara Dharma Putra Yoni Yogiswara Yudhistira Bayu Perkasa Zulfachmi, Zulfachmi