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All Journal Jurnal Teknoinfo Journal of Engineering and Information Technology for Community Service Jurnal Ilmiah Informatika dan Ilmu Komputer Journal of Artificial Intelligence and Technology Information
I Wayan Sriyasa
Universitas Pakuan
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Mathematics Social Sciences Other

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PREDIKSI MORFOLOGI JAMUR MENGGUNAKAN ALGORITMA C5.0 Lita Karlitasari; I Wayan Sriyasa; Irfan Wahyudi; Heri Bambang Santosi
Jurnal Teknoinfo Vol 17, No 1 (2023): Vol 17, No 1 (2023): JANUARI
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jti.v17i1.2372

Abstract

Mushrooms are divided into two, namely edible mushrooms and poisonous mushrooms. to distinguish between types of mushrooms that can be consumed from those that are poisonous is a complicated matter because of the nearly identical forms of the various species of mushrooms. One way to identify mushrooms is by way of morphology later which will be able to know what class a fungus belongs to. The algorithm is used because it is faster, because it is multithreaded, but otherwise produces exactly the same classifiers. shows that the C5.0 algorithm has a very good accuracy value of 99-100% with a fairly good amount of power, using both split validation and cross-validation. And also almost all attributes have a significant relationship or influence, because they have an expected value of less than 5%. Using keywords related to the research topic is recommended.
Desain Canva Sebagai Media Promosi Usaha Mikro dan Media Informasi di Desa Bantarsari Gustian Rama Putra; Arie Qurania; Yusma Yanti; Puspa Citra; Syarif Hidayatullah; Hermawan Hermawan; Victor Ilyas Sugara; Asep Saepulrohman; Agung Prajuhana Putra; Kotim Subandi; Adriana Sari Aryani; I Wayan Sriyasa
Journal of Engineering and Information Technology for Community Service Vol 1, No 3 (2023): Volume 1, Issue 3, January 2023
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jeit-cs.v1i3.210

Abstract

Digital information media in this era has very good potential, especially in developing micro-businesses to introduce their products, besides that information media is also needed to provide education and information to socialize, this is very necessary for the government in the district to develop village results and information that can be conveyed clearly to the community. Community service carried out by the Computer Science Study Program of Pakuan University aims to provide training to village office staff and junior and senior high school students in Bantarsari Village to be able to apply Canva as a medium for promoting micro-business and related information media, socialization, disaster prevention, appeals and other notifications in Bantarsari Village
Kombinasi Metode SWARA dan Simple Additive Weighting (SAW) Pemilihan Tempat Kursus I Wayan Sriyasa
Journal of Artificial Intelligence and Technology Information Vol. 1 No. 4 (2023): Volume 1 Number 4 December 2023
Publisher : PT. Tech Cart Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58602/jaiti.v1i4.83

Abstract

The combination of SWARA and SAW methods in course venue selection is a comprehensive approach to determining the best course place. The SWARA method is used to identify the relative weights of each criterion in the selection of course venues, with stepwise evaluation steps to produce accurate weight ratios. Furthermore, the SAW method is applied to give a weighted value to each alternative course place based on predetermined criteria. By combining the advantages of SWARA in criteria weighting analysis and SAW in alternative ranking, this approach provides more accurate and transparent results in choosing the course place that best suits the needs and preferences of users. The ranking results showed that rank 1 with a total value of 0.925 was obtained by Victoria, rank 2 with a total value of 0.9047 was obtained by Diamond, rank 3 with a total value of 0.8708 was obtained by Anisya, and the last rank with a total value of 0.8531 was obtained by Zalia.
Sistem Pendukung Keputusan Pemilihan E-Commerce Menggunakan Pembobotan Entropy dan COPRAS Puspa Citra; Heri Bambang Santoso; I Wayan Sriyasa
Jurnal Ilmiah Informatika dan Ilmu Komputer (JIMA-ILKOM) Vol. 3 No. 1 (2024): Volume 3 Number 1 March 2024
Publisher : PT. SNN MEDIA TECH PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58602/jima-ilkom.v3i1.25

Abstract

The choice of e-commerce platform is crucial for businesses that want to expand their reach and increase sales online. By choosing the right e-commerce platform, businesses can optimize their online operations, increase customer satisfaction, and achieve sustainable growth in an increasingly competitive digital marketplace. This study aims to select e-commerce using a combination of entropy weighting methods and COPRAS in producing alternative assessments and ratings of existing e-commerce, so that it becomes a recommendation for the public in choosing an e-commerce as a transaction platform. The ranking results in the final e-commerce score are rank 1 obtained for Shoope e-commerce with a value of 100%, rank 2 obtained for Tokopedia e-commerce with a value of 95.93%, rank 3 obtained for Lazada e-commerce with a value of 80.93%, and rank 4 obtained for Blibli e-commerce with a value of 58.07%. The recommendation results for selecting an E-Commerce platform using a combination of Entropy and COPRAS weighting methods provide the highest recommendation to the Shoope E-Commerce platform with the highest value of 100%.
Kombinasi Metode SWARA dan SMART Dalam Sistem Pendukung Keputusan Pemilihan Guru Berprestasi Heri Bambang Santoso; I Wayan Sriyasa; Puspa Citra
Journal of Artificial Intelligence and Technology Information Vol. 2 No. 1 (2024): Volume 2 Number 1 March 2024
Publisher : PT. Tech Cart Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58602/jaiti.v2i1.102

Abstract

The selection of outstanding teachers is an important process in the education system to recognize and reward the dedication and outstanding contributions of educators. Problems in the selection of outstanding teachers include unclear selection criteria, subjectivity in assessment, limited resources, and fairness and transparency in the selection process. One of the main problems is the inconsistent or inadequate definition of criteria, which can result in unclarity in determining who is worthy of being an outstanding teacher. This study aims to select outstanding teachers by applying a combination of SWARA and SMART methods in the assessment process of outstanding teachers, so that the tone of application of this method can help the school in determining outstanding teachers. The ranking results show that rank 1 was obtained on behalf of Teacher HS with a value of 0.77105, rank 2 was obtained on behalf of Teacher IA with a value of 0.76975, and rank 3 was obtained on behalf of Teacher HSR with a value of 0.73025.
Co-Authors Adriana Sari Aryani Agung Prajuhana Putra Arie Qurania Asep Saepulrohman Gustian Rama Putra Heri Bambang Santosi Heri Bambang Santoso Hermawan Hermawan Irfan Wahyudi Kotim Subandi Lita Karlitasari Puspa Citra Syarif Hidayatullah Victor Ilyas Sugara Yusma Yanti