Garuda - Garba Rujukan Digital

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

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

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

Media Edukasi Interaktif Berbasis Web untuk Literasi Digital Dasawisma RW 01 Jatinegara Romi Naufal Salam; Nandini Ladivina Sari; Ridho Arif Hidayat; Sugiyono Sugiyono; Mesra Betty Yel
AJAD : Jurnal Pengabdian kepada Masyarakat Vol. 6 No. 1 (2026): APRIL 2026
Publisher : Divisi Riset, Lembaga Mitra Solusi Teknologi Informasi (L-MSTI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59431/ajad.v6i1.705

The low level of digital literacy among grassroots communities, particularly the Dasawisma group within the Rukun Warga (RW) environment, limits the community's ability to use information technology effectively and safely. This Community Service Program aims to develop web-based interactive educational media as a digital literacy learning tool for Dasawisma members. The media was developed using the WordPress platform and the Waterfall development method. The implementation stages included user needs analysis, educational content design, interface design, WordPress installation and configuration, and system testing with users. The developed media takes the form of an interactive website that provides basic digital literacy materials, instructional videos, and evaluation quizzes accessible through various digital devices. The media trial was conducted with 20 members of Dasawisma RW 01 using a pretest and posttest method on a digital literacy quiz. The results showed an improvement in participants' understanding from 58% to 82% after using the media, representing an increase of 24%. This indicates that web-based educational media is effective in improving digital literacy among the Dasawisma community in RW 01, Jatinegara Sub-district, East Jakarta.

Implementasi Sistem Layanan Surat Menyurat Di RT 012 RW 004 Kelurahan Penggilingan Cakung Berbasis Website Sugiyono Sugiyono; Pratama Putra Raharjo; Diva Putra Romadan; Imam Dzikrilloh Anwar; Rofik Rofik
Community Engagement and Emergence Journal (CEEJ) Vol. 5 No. 1 (2024): Community Engagement & Emergence Journal (CEEJ)
Publisher : Yayasan Riset dan Pengembangan Intelektual

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37385/ceej.v5i1.4452

Masyarakat adalah sekelompok individu yang hidup bersama dalam suatu wilayah atau lingkungan tertentu, saling berinteraksi, berkumpul, dan membentuk hubungan sosial berdasarkan norma, nilai, dan kepentingan yang mereka bagikan. Masyarakat juga dapat diartikan sebagai suatu kesatuan sosial yang memiliki struktur, budaya, dan organisasi tertentu yang mempengaruhi cara individu-individu dalam kelompok tersebut berperilaku dan berinteraksi satu sama lain. Dengan kata lain, masyarakat adalah entitas sosial yang terdiri dari individu-individu yang saling berhubungan dan berinteraksi dalam rangka mencapai tujuan bersama serta memenuhi kebutuhan hidup mereka. Dalam era digitalisasi yang berkembang pesat, penerapan sistem layanan surat menyurat melalui website menjadi solusi efektif bagi pemerintah daerah seperti Kelurahan Penggilingan Cakung. Pengabdian ini bertujuan untuk menginvestigasi implementasi sistem tersebut dengan fokus pada interaksi antara masyarakat dan website sebagai platform utama. Metode pengembangan yang digunakan adalah menggunakan framework CodeIgniter untuk membangun website yang responsif dan mudah diakses. Melalui pengumpulan data kualitatif dan kuantitatif, hasil pengabdian menunjukkan bahwa penerapan sistem ini memberikan kemudahan akses bagi masyarakat dalam mengurus surat menyurat secara online. Analisis data juga mengungkapkan tantangan teknis dan adaptasi masyarakat terhadap teknologi tersebut. Hasil pengabdian ini diharapkan dapat memberikan wawasan bagi pemerintah daerah lainnya dalam mengimplementasikan sistem serupa guna meningkatkan pelayanan publik yang lebih efisien dan inklusif.

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), Indonesia

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

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

Title

Found 15 Documents
Search

Abstract

Abstract

Abstract

Abstract

Abstract

Title Search

Found 15 Documents Search

Abstract

Abstract

Abstract

Abstract

Abstract

Title

Found 15 Documents
Search