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All Journal INTECOMS: Journal of Information Technology and Computer Science Martabe : Jurnal Pengabdian Kepada Masyarakat Jurnal Pendidikan dan Konseling ARSY : Jurnal Aplikasi Riset kepada Masyarakat Jurnal Manajemen Informatika Jayakarta International Journal Software Engineering and Computer Science (IJSECS)
Sugiyono Sugiyono
Sekolah Tinggi Ilmu Komputer Cipta Karya Informatika
Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Social Sciences Other

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Penerimaan Teknologi Pendidikan Dengan Menggunakan Technology Acceptance Model (TAM) Studi Kasus Pada Aplikasi Ruang Guru Sugiyono Sugiyono; Eka Okta Puri Sulaiman
INTECOMS: Journal of Information Technology and Computer Science Vol 7 No 1 (2024): INTECOMS: Journal of Information Technology and Computer Science
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/intecoms.v7i1.7170

Abstract

Peningkatan kasus positif di Indonesia berdampak sangat besar pada berbagai sektor, terutama sektor pendidikan. Kementerian Pendidikan dan Kebudayaan RI telah menyiapkan portal media virtual untuk pembelajaran di rumah yang aksesnya masing-masing daerah. Di wilayah Jakarta dan sekitarnya disebut Aplikasi Ruang Guru. Penerapan lingkungan belajar tersebut di wilayah Jakarta dan sekitarnya terus dilakukan sejak pandemi Covid-19. Namun, kita perlu mengetahui penerimaan pengguna terhadap teknologi yang baru dikembangkan dan hambatan penggunaannya. Oleh karena itu, perlu dilakukan analisis tingkat penerimaan lingkungan pembelajaran online ruang guru menggunakan model penerimaan teknologi dengan model persamaan struktural dan pendekatan partial least squares. Dengan menggunakan variable TAM persepsi kegunaan (perceived usefulness), persepsi kemudahan pengguna (perceived ease of use), perilaku pengguna (attitude of use), sikap untuk menggunakan teknologi (behavioral intention of use), dan minat pengguna sistem (actually system use).
Decision Tree-Based Potential Athletics Athlete Selection System for PASI DKI Jakarta Sugiyono Sugiyono; Arpinda Arpinda
International Journal Software Engineering and Computer Science (IJSECS) Vol. 5 No. 3 (2025): DECEMBER 2025
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v5i3.5242

Abstract

Selection of athletes in competitive sports is mostly based on subjective judgments; therefore, it results in inconsistency. This research presents a classification model that will help to measure the potential of athletes using the Decision Tree algorithm by utilizing real competition data from PASI DKI Jakarta. The dataset used consists of 450 records of athletes with attributes such as race category, time records, and ranking information. The analysis was performed based on the CRISP-DM framework which comprises six stages: business understanding, data exploration, preparation, modeling, evaluation, and deployment. Development and testing of the model were carried out in RapidMiner software using a 10-fold cross-validation technique. It achieved an accuracy of classification equal to 92.22% with a standard deviation of ±5.37%. The performance metrics show precision rates at 96.88% for High, 78.95% for Medium, and 94.87% for Low classes; while recall values are 100%, 88.24%, and 88.10%, respectively. The decision tree model generated specifies ranking as the root node meaning that this attribute has the highest influence on class separation among other attributes in this dataset. There are three classification rules produced by this model: ranking ≤3.500 is classified into high potential; between 3.500-6.500 belongs to medium potential; otherwise greater than 6.500 will be classified into low potential which can be applied practically as a decision support system enabling coaches to perform objective systematic data-driven processes in selecting athletes
Co-Authors Aisah Aisah Andri Setiawan Ardi Nor Dzariat Arpinda Arpinda Deden Darusalam Dimas Prinantin Saputra Eka Okta Puri Sulaiman Faris Jawad Laili Zami Saputri Mirsandi Mirsandi Muhamad Padli Muhammad Rozis Al Yasah Muhammad Zikri Nana Nana Okta Syari Runi Amanda Amalia Sutisna Sutisna Tb Sutan Nadzarudien