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All Journal Majalah Ilmiah Teknologi Elektro PROSIDING CSGTEIS 2013 JOSINFO : Jurnal Online Sistem Informasi JOSIKOM : Jurnal Online Sistem Komputer JUTIK : Jurnal Teknologi Informasi dan Komputer JOURNAL OF APPLIED INFORMATICS AND COMPUTING Dinamisia: Jurnal Pengabdian Kepada Masyarakat Compiler WIDYABHAKTI Jurnal Ilmiah Populer SENSITEK Jurnal Pengabdian Masyarakat Borneo Seminar Ilmiah Nasional Teknologi, Sains, dan Sosial Humaniora (SINTESA) Seminar Nasional Aplikasi Iptek (SINAPTEK) Jurnal Pengabdian Kepada Masyarakat SEWAGATI Majalah Ilmiah Teknologi Elektro
I Gusti Rai Agung Sugiartha
Institut Teknologi Dan Bisnis STIKOM Bali
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Social Sciences Other

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Ekstraksi Fitur Warna, Tekstur dan Bentuk untuk Clustered-Based Retrieval of Images (CLUE) I Gusti Rai Agung Sugiartha; Made Sudarma; I Made Oka Widyantara
Jurnal Teknologi Elektro Vol 16 No 1 (2017): (January - April) Majalah Ilmiah Teknologi Elektro
Publisher : Program Studi Magister Teknik Elektro Universitas Udayana

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Abstract

Picture (image) is a media that used for storing visual data, for example, two-dimensional images are often used to store an incident. Images on the internet media growth very rapidly. There are a lot of image, video, text or other content on the Internet. Image Index and image retrieval again become a topic of research in the last decade in which concentrated on how to get the meaning of an information contained in an image. Three methods outlined in the search for an image, the text-based image retrieval, content-based image retrieval and indexing images in the order of language. This study focuses on the preparation of the features of an image based on color and texture. Features colors using the average value of Hue image, texture features using Gray Level occurance Matrix (GLCM). Color, texture, and shape extraction technique resulted in eighteen (18) feature that can be used as features in the process of Clustering.DOI: 10.24843/MITE.1601.12
PENINGKATAN PRODUKSI DAN PENGEMBANGAN PEMASARAN INDUSTRI RUMAH TANGGA PANGAN KHAS KABUPATEN TABANAN IBU SUMAWATI Made Agus Putra Subali; I Gusti Rai Agung Sugiartha; Anak Agung Gede Purantara
Sewagati Vol. 3 No. 2 (2024): Sewagati
Publisher : Fakultas Teknik dan Informatika Universitas PGRI Mahadewa Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59819/sewagati.v3i2.3846

Abstract

The partner traditional food home industry sells lawar, tum, and timbungan. Every day the partners process 6 kg of meat, 0.5 kg of chilies, 1 kg of shallots, and 0.5 kg of garlic. The amount of production in a day reaches 5 timbungan, 12 packs of lawar, and 50 packs of tum. The produce is marketed locally at partners' kiosks from four in the afternoon to seven in the evening. The partner's business has the potential to develop further, because the number of orders on holidays and weekends can increase by up to 50% currently, the partner has problems with a shortage of production and product marketing quantities. The solution to overcome partner problems is carried out by providing assistance with production equipment, installing packaging labels, and installing brochures, banners, and promotions via social media Instagram and Facebook. Based on the activities that have been carried out, the results obtained are that the production equipment assistance provided is able to increase the number of partners' production by up to 50% and make the production time process more efficient. Creating Instagram and Facebook social media can be an alternative for marketing partner products to reach a wider market share. Apart from that, other capabilities obtained by partners, such as the use of production equipment and product packaging with packaging labels, have increased by up to 100%.
Software Defects Predictions using SQL Complexity and Naïve Bayes Subali, Made Agus Putra; Sugiartha, I Gusti Rai Agung; Adnyana, I Made Budi; Putra, I Putu Aditya; Subawa, Made Dai
Compiler Vol 14, No 1 (2025): May
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/compiler.v14i1.2979

Abstract

Software defects result in unreliable software, therefore predicting software defects is an effort to produce quality software. In this study, we used the naïve bayes method because it has the appropriate characteristics of the data used. The data used include NASA MDP datasets and datasets from the calculation of the sql complexity method on eight software modules. The use of two datasets was carried out because in the NASA MDP datasets there were no attributes that paid attention to the use of sql commands, therefore in the datasets from the eight software modules the sql complexity attribute was included which paid attention to the level of complexity of the use of sql commands in each module. The prediction results of this study were evaluated by considering the values of accuracy, precision, recall, and f-measure. Based on these results, the accuracy results of CM1 were 88%, PC2 was 97%, and KC3 was 78%.
Co-Authors A.A. GD DARMA P ARIMBAWA, A.A. GD DARMA Anak Agung Gede Purantara Arya Faisal Akbar Candra Ahmadi, Candra I Gusti Ngurah Darma Paramartha I Kadek Aryastina Suwandika, I Kadek Aryastina I Ketut Dedy Suryawan I Ketut Sedana Artha, I Ketut Sedana I Komang Budiarta I Made Andre Sentanu I Made Budi Adnyana, I Made Budi I Made Darma Susila I Made Oka Widyantara I Nyoman Kusuma Wardana I Putu Adi Armawan, I Putu Adi I Putu Aditya Putra I Wayan Kardana Ida Bagus Suradarma Linda Santiari, Ni Putu Luh Gede Surya Kartika, Luh Gede Made Agus Putra Subali Made Agus Putra Subali Made Sudarma Muhammad Riza Hilmi Ni Luh Putri Srinadi Ni Putu Linda Santiari Pande Kadek Yudiarta, Pande Kadek Putra, I Putu Aditya Putu Eny Suhardiyani Suartana, I Made Subali, Made Agus Putra Subawa, Made Dai Theo Rado Hotanto, Theo Rado Yohanes Priyo Atmojo Yundari, Yundari