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All Journal JURNAL SISTEM INFORMASI BISNIS Teknika Jupiter Jurnal Simetris Jurnal Informatika Jurnal Informatika Proceeding International Conference on Information Technology and Business Proceedings Konferensi Nasional Sistem dan Informatika (KNS&I) Scientific Journal of Informatics International conference on Information Technology and Business (ICITB) Jurnal SIMADA (Sistem Informasi dan Manajemen Basis Data) Informatika Mulawarman: Jurnal Ilmiah Ilmu Komputer Jurnal TAM (Technology Acceptance Model) JMM (Jurnal Masyarakat Mandiri) Prosiding Seminar Nasional Darmajaya Jurnal Teknologi Komputer dan Sistem Informasi Jurnal Sistem Informasi, Manajemen, dan Akuntansi (SIMAK) Jurnal Tekno Kompak Abdimas Toddopuli: Jurnal Pengabdian Pada Masyarakat Jurnal Sistem Komputer & Kecerdasan Buatan Journal of Applied Data Sciences Jurnal Abdimas Bina Bangsa JUSTIN (Jurnal Sistem dan Teknologi Informasi) Jurnal Publika Pengabdian Masyarakat Arcitech: Journal of Computer Science and Artificial Intelligence Abdi Akommedia : Jurnal Pengabdian Masyarakat Jurnal Informatika: Jurnal Pengembangan IT E-Amal: Jurnal Pengabdian Kepada Masyarakat JTKSI (Jurnal Teknologi Komputer dan Sistem Informasi)
Sri Karnila
Institut Informatika Dan Bisnis Darmajaya
Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering 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 Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Mathematics Physics Social Sciences Other

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Designing An Athlete Selection Application Using The Topsis Method Napitupulu, Erikson Josua; Arkhiansyah, Yuni; Karnila, Sri
Prosiding International conference on Information Technology and Business (ICITB) 2023: INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND BUSINESS (ICITB) 9
Publisher : Proceeding International Conference on Information Technology and Business

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

Abstract

Athletes are a profession that is of great interest to young people in various sports. Psychological factors that support success and the role of coaches in sports are very necessary for the success of talented athletes in their fields. Currently, coaches have certain training programs that aim to increase the athlete's agility, strength, and speed. This program is felt to be less effective because decision-making is done by considering the weighting of two categories, namely physical and psychological. The weight of the criteria obtained will assist coaches in maximizing the physical and psychological abilities of athletes in order to achieve the expected championship targets. For this reason, a plan was created to select talented athletes using the Topsis method (Technique for Others Reference by Similarity to Ideal Solution). This design is facilitated by an Android-based interface with simple logic, an easy-to-understand category calculation input process, and a mathematical model for determining the best athletes so that it can help coaches and be effective in selecting talented athletesKeywords: athletes, training programs, system design, criteria weights, TOPSIS
MENINGKATKAN PEMBELAJARAN SISWA DENGAN PENGENALAN BERBASIS DATA DAN MACHINE LEARNING Safitri, Egi; Karnila, Sri; Purwati, Neni; Kurniawan, Hendra; Nurjoko, Nurjoko; Rizalnul Fikri, Ruki
JMM (Jurnal Masyarakat Mandiri) Vol 8, No 2 (2024): April
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jmm.v8i2.22096

Abstract

Abstrak: Data merupakan aset penting yang memiliki potensi besar untuk menjadi sumber informasi yang berharga dalam proses pengambilan keputusan. Namun, pada kenyataannya, masih banyak data yang belum dimanfaatkan secara optimal karena keterbatasan pengetahuan dalam memprosesnya. Contohnya adalah data kasus COVID-19. Kegiatan ini dilakukan di SMKN 7 Bandar Lampung dengan melibatkan 31 siswa dan 2 guru pendamping kelas. Tujuan utamanya adalah meningkatkan kualitas pembelajaran siswa dalam memahami berbagai jenis data, analisis data, dan dasar-dasar machine learning. Metode pelaksanaan yang digunakan adalah workshop, yang berfokus pada pemahaman siswa terhadap konsep data. Kegiatan tersebut dimulai dengan sosialisasi, pengenalan data di sekitar kita, penekanan pada data COVID-19 sebagai topik yang sedang tren, cara mendapatkan data, teknik analisis data, dan pengantar tentang machine learning. Teknologi juga diterapkan melalui penggunaan modul sederhana guna meningkatkan efektivitas pembelajaran dalam Program Kreativitas Mahasiswa ini. Hasil dari kegiatan ini termasuk perbaikan hasil akademis siswa serta peningkatan kesadaran mereka terhadap literasi data, dan membuktikan bahwa pendekatan inovatif ini memberikan kontribusi positif terhadap literasi data siswa dan meningkatkan pembelajaran berbasis data di era kemiskinan informasi, hal itu dapat dilihat dari hasil kuesioner yang telah diberikan dengan nilai tertinggi 77% mengatakan bahwa pelaksanaan pengabdian telah dilakukan sesuai dengan kebutuhan siswa, dan sebesar 71% kegiatan PkM berhasil meningkatkan kesejahteraan/kecerdasan siswa.Abstract: Data is an important asset that has great potential as a valuable source of information in decision-making processes. However, in reality, there is still much data that needs to be optimally utilized due to limitations in knowledge to process it. An example is COVID-19 case data. This activity was conducted at SMKN 7 Bandar Lampung, involving 31 students and 2 accompanying teachers. The main objective is to improve students' learning quality in understanding various types of data, data analysis, and the basics of machine learning. The implementation method used is a workshop focusing on students' understanding of data concepts. The activity begins with socialization, introducing data around us, emphasizing COVID-19 data as a trending topic, ways to obtain data, data analysis techniques, and an introduction to machine learning. Technology is also applied through the use of simple modules to enhance learning effectiveness in this Student Creativity Program. The results of this activity include improvements in students' academic performance and increased awareness of data literacy. It proves that this innovative approach positively contributes to students' data literacy and enhances data-based learning in the information poverty era. It can be seen from the questionnaire results that the highest score of 77% stated that the service implementation had been done according to the student's needs, and 71% of the PKM activities successfully improved students' welfare/intelligence.
Co-Authors - Nurfiana - Nurjoko -, Meiliza Adela, Cindy Nada Adimas, Adimas Agung Pradana Ambar aditya Putra Arif Harjanto Asmaul Dwi Akbar Astria Hijriani, Astria Azima, Muhammad Fauzan Aziz, RZ. Abdul Baso Amang, Baso Dani Rofianto Darmawan, Algifari Denny Andreas Dewi, Deshinta Arrova Dona Yuliawati Egi Safitri Fajar Nugraha Feri Setiadi Galih Prayogo Hasibuan, M.S. Hendra Kurniawan Hendra, Hendra Kurniawan Herlina Herlina Herlina Herlina Herwanto, Riko Herwanto, Riko Ilhamiharja, Arbi Irianto, Suhendro Y. Julius, Felix K, Hendra Kurniawan, Tri Basuki Lia Rosmalia Luh Putu Ratna Sundari M. Ariza Eka Yusendra M. Ariza Eka Yusendra, M. Ariza Eka Melda Agarina Mochammad Imron Awalludin Muhammad Fauzan Azima Muhammad Galih Ramaputra Muhammad Saputra Muktiawan, Danang Ade Napitupulu, Erikson Josua Neni Purwati Nicholas Svensons Nurfiana - Nurfiana - Nurjoko Oktaviani, Asih Oktaviani, Erni Pedliyansah, Yogi Raymond Octhario Raymond Octhario Rendy Ferrie Vernando Ribut Yulianto Rika Febri Sasmita Rio Kurniawan Riyadini Riyan Utami Rizal, Ruki Rizalnul Fikri, Ruki Roffi, Ahmad Rosandy, Triowali Ruki Rizal Safitri, Egi Septiawan, Yuda Setiawati, Melia Gripin Setyawan, Dodi Yudo Sri Rahayu Sulistiyanto Sulistiyanto Sulistiyanto, Mr. Sushanty Saleh Sutedi Sutedi Y. Suhendro Yandi Jaya Antonio Yogi Pedliyansah Yulmaini Yulmaini Yuni Arkhiansyah Yuni Puspita, Rima Yuniwati