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Perancangan Sistem Informasi Pendataan Keanggotaan Menggunakan Metode Agile Berbasis Website Studi Kasus : Pusat Informasi Dan Konseling Remaja ( PIK – R ) Afifah Mesha Putri; Akmal Andri Yantama; Fitri Anisa Nirmala; Najmudin Mubarak MR; Rahman Maheri; Syukri Sastrawan; Muhammad Lutfi Hamzah
Prosiding Seminar Nasional Teknologi Informasi dan Bisnis Prosiding Seminar Nasional Teknologi Informasi dan Bisnis (SENATIB) 2022
Publisher : Fakultas Ilmu Komputer Universitas Duta Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (893.782 KB)

Abstract

Abstrak— Organisasi adalah wadah yang terdiri dari dua atau kebihindividu yang memiliki satu tujuan[1]. Aktifitas nya tidak lain ialahhal hal yang menunjang tercapainya tujuan dari organisasi itusendiri. Salah satu hal penting yang tidak pernah lepas dari kegiatansebuah organisasi ialah pendataan.Setiap organisasi pasti memilikidata di dalamnya untuk pengolahannya dilakukan pendataan[2].Termasuk pada organisasi Pusat Informasi dan Konseling Remaja (PIK – R). Pendataan yang dilakukan masih menggunakan caramanual yang rentan terhadap kesalahan data. Maka dari itu dilakukanperancangan sistem informasi pendaat untuk mempermudahpendataan pada organisasi tersebut. Perancangan dilakukanmenggunakan metode Agile untuk mempermudah dalampengembangannya.
The Role of Artificial Intelligence in Building a Culture of Knowledge Sharing among Students and University Students Suarni Norawati; Akmal Andri Yantama; M. Zacky
Jurnal Sistem Cerdas Vol. 8 No. 3 (2025): In progress (December)
Publisher : APIC

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37396/jsc.v8i3.583

Abstract

This study examines the role of Artificial Intelligence (AI) in fostering a culture of knowledge sharing and enhancing knowledge management among students and university learners in the digital learning environment. Using a quantitative explanatory approach, data were collected from 100 respondents who actively used AI-based applications such as ChatGPT, Grammarly, and Copilot in their academic activities. The data were analyzed using Partial Least Squares–Structural Equation Modeling (PLS-SEM) with SmartPLS 4.0. The results reveal that AI has a significant direct effect on knowledge management (β = 0.316, p = 0.000) and a strong positive influence on knowledge sharing behavior (β = 0.851, p = 0.000). Furthermore, knowledge sharing significantly mediates the relationship between AI and knowledge management (β = 0.611, p = 0.000), indicating that AI’s greatest impact occurs through the enhancement of collaborative knowledge exchange among learners. The model explains 80.3% of the variance in knowledge management and 72.3% in knowledge sharing, demonstrating strong predictive power. These findings highlight AI’s potential as a collaborative catalyst that strengthens human-centered learning ecosystems. The study contributes both theoretically by extending the understanding of AI-mediated knowledge processes—and practically by providing insights for educators to integrate AI ethically and effectively into knowledge-based learning systems