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All Journal International Journal of Electrical and Computer Engineering Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Jurnal Ilmiah Merpati (Menara Penelitian Akademika Teknologi Informasi) TELKOMNIKA (Telecommunication Computing Electronics and Control) Bulletin of Electrical Engineering and Informatics Journal of ICT Research and Applications JOIV : International Journal on Informatics Visualization Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) JOURNAL OF APPLIED INFORMATICS AND COMPUTING Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) International Journal of Engineering and Emerging Technology Indonesian Journal of Electrical Engineering and Computer Science Jurnal Bali Membangun Bali Makara Journal of Technology Jurnal Ilmiah Teknologi dan Komputer (JITTER) Lontar Komputer: Jurnal Ilmiah Teknologi Informasi

I ketut Gede Darma Putra

Program Studi Teknologi Informasi, Fakultas Teknik, Universitas Udayana

Author-ID : 2453866

Agriculture, Biological Sciences & Forestry Arts Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mechanical Engineering Medicine & Pharmacology Public Health Social Sciences Transportation Other

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Sketching Expert System for Crime Investigation Purposes Bagus Yudistira; I Ketut Gede Darma Putra; Anak Agung Kompyang Oka Sudana
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 7: July 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i7.pp5655-5660

The presence of police sketcher play an important role in making investigation in purpose of making arrestment to fugitive or suspect. The lacking presence of police sketcher is making a lack in investigation process, because lack of information gathered for the further process. This limitation is overcome by developing an expert system using gadget as a helping device to making sketch, with adding sketcher knowledge. Sketching method already been used since long time in process of investigation and effective making the result. The result of expert system on case given showing the system to real object which made sketching reach 85% of accuracy level.

Establishment Code Hand Palm (Palm Code) 2D Gabor-Based Method Darma Putra, I Ketut Gede; Bhuana, Wira; Erdiawan, Erdiawan
Makara Journal of Technology Vol. 15, No. 2
Publisher : UI Scholars Hub

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Establishment Code Hand Palm (Palm Code) 2D Gabor-Based Method. Palmprint is relatively new in physiological biometrics. Palmprint ROI segmentation and feature extraction are two important issues in palm print recognition. This paper introduces two steps in the center of mass moment method for ROI segmentation that will be applied in the Gabor 2D filter to obtain palm code as palmprint feature vector. Normalized Hamming distance was used to measure the similarity degrees of two feature vectors of palmprint. The system was tested using database 1000 palmprint images generated from 5 samples from each of the 200 persons randomly selected with ROI 64 x 64 and 128 x 128 pixel. Experiment results show that this system can achieve high performance with a success rate about 98.7% (FRR = 1.17%, FAR = 0.11%, T = 0.376) with ROI 64 x 64 pixel.

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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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

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.

Design and Development of a Web-Based Plastic Waste Recycling Information System case study: Bali Pet Collection Center I Putu Jordi Astika; Dwi Putra Githa; I Ketut Gede Darma Putra
Jurnal Ilmiah Merpati (Menara Penelitian Akademika Teknologi Informasi) Vol 11 No 2 (2023): Vol. 11, No. 2, August 2023
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JIM.2023.v11.i02.p07

A plastic recycling company is an industry that specializes in recycling plastic waste into processable plastic pellets. The current business process still relies on conventional methods for recording activities within the company. The objective of this research is to design and develop a web-based information system for plastic waste recycling. The waterfall methodology employed as the software development method. The system is tested using black box testing and user acceptance testing (UAT) and measured using Likert's summated Rating (LSR) method. The results of the black box testing indicate that the system functions well. Furthermore, the results of the UAT demonstrate that the system as a whole receives highly positive responses and is considered successful.

Komparasi Metode Neural Network Backpropagation dan Support Vector Machines dalam Prediksi Volume Sampah TPA Suwung Purnamaswari, Anak Agung Arimas; Darma Putra, I Ketut Gede; Suwija Putra, I Made
JITTER : Jurnal Ilmiah Teknologi dan Komputer Vol 3 No 1 (2022): JITTER, Vol.3, No.1, April 2022
Publisher : Program Studi Teknologi Informasi, Fakultas Teknik, Universitas Udayana

Provinsi Bali memiliki salah satu TPA sampah yang terletak di Kelurahan Pedungan, Denpasar Selatan bernama TPA Regional Sarbagita Suwung atau TPA Suwung. Tumpukan sampah di TPA mengalami kepadatan hingga menimbulkan dampak negatif bagi masyarakat sekitar TPA. Peramalan volume sampah merupakan langkah awal dan langkah penting dalam merencanakan suatu pengelolaan sampah. Hasil peramalan yang akurat berdasarkan dari data historis volume sampah di TPA Suwung dapat menciptakan strategi penanganan sampah yang baik serta menciptakan suatu infrastruktur pembuangan sampah yang mencukupi. Penelitian ini membandingkan kinerja Metode Backpropagation dan Support Vector Machine dalam meramalkan volume sampah berdasarkan dengan data jumlah volume sampah bulanan yang tertampung di TPA Suwung dari Tahun 2015 hingga 2020. Uji optimalisasi parameter peramalan sesuai dengan masing – masing metode dilakukan untuk mendapatkan hasil yang terbaik. Hasil dari peramalan volume sampah menggunakan Metode Backpropagation mencapai tingkat kesalahan terkecil yaitu 0.048 sedangkan peramalan volume sampah menggunakan Metode SVM mencapai tingkat kesalahan yaitu 0.108.

Aplikasi Perhitungan Gizi dan Diet Khusus Bagi Pekerja Menggunakan Particle Swarm Optimization Berbasis Web Yudiadewi, Made Aprisintia; Darma Putra, I Ketut Gede; Dwi Rusjayanthi, Ni Kadek
JITTER : Jurnal Ilmiah Teknologi dan Komputer Vol 3 No 1 (2022): JITTER, Vol.3, No.1, April 2022
Publisher : Program Studi Teknologi Informasi, Fakultas Teknik, Universitas Udayana

Status gizi, yang merupakan kebutuhan gizi, seharusnya dipenuhi setiap tenaga kerja karena dapat berpengaruh untuk meningkatkan derajat kesehatan dan mengoptimalkan daya kerja pekerja. Kebutuhan gizi dapat dipenuhi melalui perhitungan gizi. Penelitian yang dilakukan adalah pembuatan aplikasi perhitungan gizi berbasis web menggunakan algoritma Particle Swarm Optimization. Aplikasi diimplementasikan ke dalam tiga tahapan, yaitu proses input data, proses perhitungan gizi, dan proses optimasi bahan makanan. Hasil dari aplikasi, yaitu didapatkan bahwa nilai rata-rata selisih kebutuhan energi sebesar 0%, nilai rata-rata selisih kebutuhan karbohidrat sebesar -2,8%, nilai rata-rata selisih kebutuhan protein sebesar 7,5%, nilai rata-rata selisih kebutuhan lemak sebesar 14,88%, dan nilai rata-rata selisih secara keseluruhan sebesar 1,15%. Batas toleransi dari pakar sebesar ±10% sehingga dapat disimpulkan bahwa rekomendasi sistem memenuhi kebutuhan energi, karbohidrat, dan protein pengguna sedangkan kebutuhan lemak tidak memenuhi. Keoptimalan rekomendasi sistem juga lebih akurat karena semakin kecil nilai rata-rata selisih secara keseluruhan, semakin optimal rekomendasi yang diberikan.

Classification of Sign Language Numbers Using the CNN Method Perdana, I Putu Iduar; Darma Putra, I Ketut Gede; Arya Dharmaadi, I Putu
JITTER : Jurnal Ilmiah Teknologi dan Komputer Vol 2 No 3 (2021): JITTER, Vol.2, No.3, December 2021
Publisher : Program Studi Teknologi Informasi, Fakultas Teknik, Universitas Udayana

Abstrak Berkomunikasi merupakan kebutuhan semua individu karena setiap individu harus berkomunikasi dengan lingkungan. Berkomnikasi juga membuat seseorang mendapat informasi sehingga dapat dijadikan acuan untuk beradaptasi. penggunaan bahasa verbal dengan berbicara mengeluar suara adalah cara komunikasi individu, namun hal itu tidak dapat dilakukan saat berkomunikasi dengan individu yang memilki keterbatasan dalam mendengar. Keterbatasan tersebut membuat diperlukan cara komunikasi lain yaitu melalui bahasa isyarat. Bahasa isyarat banyak jenisnya salah satunya bahasa isyarat menggunakan tangan membentuk huruf atau angka. Bahasa isyarat terdapat standar, standar yang cukup terkenal adalah standar American Sign Language (ASL). Masih banyak yang sulit mengenal bahasa isyarat, maka solusinya adalah membuat sistem untuk klasifikasi bahasa isyarat. Penelitian ini akan membuat sistem machine learning untuk pengenalan angka bahasa isyarat standar American Sign Language (ASL) serta menerapkan preprocessing untuk optimalisasi hasil. Hasil penelitian ini adalah melakukan perbandingan metode preproscessing yang diterapkan pada sistem Convlutional neural network arsitektur mobilenetv2. Hasil akhir penelitian kombinasi metode preprocessing Grayscale, HSV, Global Threshold menghasilkan akuarasi pengenalan terbaik yaitu 97%. Abstract Communicating is a need for all individuals because an individual must communicate with the environment. Communicating also enables someone to obtain information so that it can serve as a reference for adaptation. The use of spoken language while speaking out of a voice is an individual means of communication, but it cannot be applied when communicating with persons with hearing limitations. These limitations require another way of communication, namely through sign language. There are many kinds of ASL, one of which is ASL using hands to form letters or numbers. Standard popular Sign language is the American Sign Language (ASL) standard. Many still people difficult to recognize sign language, so a solution is to create a system for sign language classification. This research will create a machine learning system for number recognition in American standard sign language. Sign Language (ASL) as well as applying preprocessing to optimize results. The result of this research is to compare the recognition accuracy of the scenarios of different preprocessing methods applied in the Convolutional neural network system architecture MobileNetV2. The final result of this research is the combination of Grayscale, HSV, and Global Threshold preprocessing method yielding the best recognition accuracy of 97%.

Aplikasi Mobile Augmented Reality Cerita Bali: Lubdaka AR Tri Ginarsa, I Nyoman Adi; Darma Putra, I Ketut Gede; Putra, I Made Suwija
JITTER : Jurnal Ilmiah Teknologi dan Komputer Vol 3 No 1 (2022): JITTER, Vol.3, No.1, April 2022
Publisher : Program Studi Teknologi Informasi, Fakultas Teknik, Universitas Udayana

Cerita rakyat didefinisikan sebagai cerita dari masa lalu yang diceritakan kembali di masa sekarang. Kurangnya popularitas cerita rakyat dibandingkan dengan cerita dari luar negeri disebabkan oleh orang tua yang jarang meluangkan waktu untuk menceritakan kembali cerita rakyat anak mereka. Selain itu, cerita rakyat tidak disajikan menarik dibandingkan dengan cerita dari luar negeri yang didukung oleh media digital. Di sini, Augmented Reality teknologi dapat digunakan sebagai media pendidikan. Tujuan utama dari Augmented Reality adalah menciptakan lingkungan yang baru dengan cara mengkombinasikan inter aktivitas nyata dengan lingkungan virtual dengan real-time, sehingga bagi pengguna lingkungan yang diciptakan akan terasa nyata. Lingkungan maya dapat dilaksanakan untuk pendidikan karakter dari daerah kearifan dalam cerita rakyat Bali yang berjudul Lubdaka. Kemudian, realitas virtual diterapkan menjadi Augmented Reality dari Cerita Bali: Lubdaka AR. Aplikasi Bahasa Bali Story Lubdaka AR dapat membantu pengguna untuk mendapatkan informasi dan pendidikan tentang pendidikan karakter yang mengandung cerita lubdaka

Analisis Sentimen Pola Pikir Masyarakat Indonesia Terkait Virus Covid-19 Dalam Media Sosial Twitter Menggunakan Metode Rule Based Leksikon Riskiyanti, Zuraida Malini Cantika; Darma Putra, I Ketut Gede; Wiranatha, AA.Kt. Agung Cahyawan
JITTER : Jurnal Ilmiah Teknologi dan Komputer Vol 3 No 1 (2022): JITTER, Vol.3, No.1, April 2022
Publisher : Program Studi Teknologi Informasi, Fakultas Teknik, Universitas Udayana

The Covid-19 virus has managed to wreak havoc in various sectors around the world. Not only does it affect a person's physical condition, but also affects the psychological condition of the people's mindset. On the other hand, the Covid-19 pandemic has also had an impact on the high use of social media among the Indonesian people. Individual opinions on various matters are expressed on the web and can be collected into big data for processing. Twitter API is an application created by Twitter to make it easier for other developers to access Twitter web information such as the large amount of data used in this research. Rule-Based Lexicon is a classification method that utilizes rules to distinguish one class from another with positive, negative, and neutral sentiment word classes. This study discusses the results of the sentiment analysis of the mindset of the Indonesian people during the Covid-19 pandemic using the Rule-Based Lexicon classification method with data sourced from Twitter social media as much as 4,068,464 tweet data which obtained an average accuracy value of 81%, a precision value of 93%, 95% recall value, and 83% f1 score. The results of the highest overall mindset sentiment were in July 2021 with 10,011 (23.53%) tweet data classified as positive sentiment on the topic of PPKM in Bangka Belitung Province, 8,629 (19.42%) classified as neutral sentiment on PPKM topic in Gorontalo Province, and 4,216 (8.61%) classified as negative sentiment in Bengkulu Province which leads to a toxic positivity conformity mindset.

Co-Authors A. A. K. Oka Sudana Adie Wahyudi Oktavia Gama Agung Udayana Putra Ahmad Catur Widyatmoko Anak Agung Ketut Agung Cahyawan Wiranatha Anak Agung Kompiang Oka Sudana Anindya Santika Devi Ariana, Anak Agung Gede Bagus Arsa, Dewa Made Sri Arya Widyaningrat, Made Gunawan Astutik, Dian Bagus Yudistira Citra Arum Sari Desak Ayu Savita Desak Ayu Sista Dewi Desy Purnami Singgih Putri Dewa Agung Krishna Arimbawa P Dewa Ayu Nadia Taradhita Dewa Made Sri Asra Dwi Putra Githa Dwi Rusjayanthi, Dwi Erdiawan Erdiawan Erdiawan Erdiawan Erdiawan Erdiawan, Erdiawan G M Arya Sasmita Gede Eridya Bayu Gede Ngurah Pasek Pusia Putra Gede Riska Wiradarma I Dewa Gede Wahya Dhiyatmika I Gede Aditya Nugraha I Gede Galang Surya Prabawa I Gede Hendra Parwata I Gede Suarjana I Gede Sujana Eka Putra I Gede Sujana Eka Putra, I Gede Sujana Eka I Gusti Ayu Agung Diatri Indradewi I Gusti Ayu Triwayuni I Gusti Made Ngurah Ardi Yasa I Gusti Ngurah Dwiva Hardijaya I Kadek Erik Priyanto I Kadek Surya Widiakumara I Ketut Adi Purnawan I Made Agus Dwi Suarjaya I Made Aris Satia Widiatmika I Made Budi Adnyana I Made Budi Sentana I MADE SUDARMA I Made Sukafona I Made Sukarsa I Made Sukarsa I Made Sunia Raharja I Made Suwija Putra I Made Suwija Putra, I Made I Made Yudha Arya Dala I N Satya Kumara I Nyoman Gede Arya Astawa I Nyoman Gunantara I Nyoman Piarsa I Nyoman Putu Suwindra I Nyoman Satria Paliwahet I Putu Adi Purnawan I Putu Agung Bayupati I Putu Agus Eka Darma Udayana I Putu Agus Eka Darma Udayana, I Putu Agus Eka I Putu Agus Eka Pratama I Putu Arya Dharmaadi I Putu Bayu Krisnawan I Putu Indra Permana I Putu Jordi Astika I Putu Satwika Putra I Putu Yoga Pertama Yasa I Wayan Agus Surya Darma I Wayan Budi Sentana I Wayan Gunaya I Wayan Muka I Wayan Ryon Waryanta I Wayan Wahyu Gautama Ida Ayu Dwi Giriantari Ida Ayu Putu Febri Imawati Ida Bagus Nyoman Yoga Ligia Prapta Kadek Adi Praptha Kadek Suar Wibawa Komang Ayu Triana Indah Komang Budiarta Lie Jasa Linawati Linawati Luki Ardiantoro M Sudarma Made Adi Widyatmika Made Sudarma Made Sudarma Made Sudarma Mimin F Rohmah Minho Jo Minho Jo Minho Jo Naser Jawas Ni Kadek Ariasih, Ni Kadek Ni Kadek Dwi Rusjayanthi, Ni Kadek Ni Kadek Riska Sadini Ni Komang Surya Cahyani Putri Ni Komang Sutiari Ni Komang Widyasanti Ni Luh Gede Pivin Suwirmayanti, S.Kom, MT, Ni Luh Gede Pivin Ni Made Ary Esta Dewi W Ni Made Ary Esta Dewi Wirastuti Ni Made Ika Marini Mandenni Ni Putu Ayu Oka Wiastini Ni Putu Chendy Widya Santi Ni Putu Intan Waindika Dharma Ni Putu Ratindia Apriyanti Ni Putu Sutramiani Nyoman Purnama, Nyoman Nyoman Putra Sastra Nyoman S Kumara Nyoman Sumerta Yasa Perdana, I Putu Iduar Pirade, Evangelika Purnamaswari, Anak Agung Arimas Putra, I Made Suwija Putri Isma Oktawiani Putu Githa Pratiwi Putu Manik Prihatini Putu Putri Wrestra Saridewi putu roy nurbhawa Putu Wira Buana Ricky Aurelius Nutanto Diaz, Ricky Aurelius Riskiyanti, Zuraida Malini Cantika Risky Aswi R, Risky Rosalia Hadi Rukmi Sari Hartati Rukmi Sari Hartati Siti Helmyati Sulya Arya Wasika Tri Ginarsa, I Nyoman Adi Wayan Oger Vihikan Wijayakusuma, I Gusti Ngurah Lanang Wira Bhuana Wira Bhuana, Wira Wiranatha, AA.Kt. Agung Cahyawan Yandi Perdana Yogiswara Dharma Putra Yudiadewi, Made Aprisintia Yusliza Binti Mohd Yasin

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