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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) MOTIVECTION : Journal of Mechanical, Electrical and Industrial Engineering MUAMALATUNA
Reza Syafrizal
UIN Sultan Maulana Hasanuddin Banten
Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Engineering Industrial & Manufacturing Engineering

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Designing a Pustekipad Computer Laboratory Loan Application for Learning ICT Subjects Reza Syafrizal; Ahmad Tabrani
MOTIVECTION : Journal of Mechanical, Electrical and Industrial Engineering Vol 3 No 2 (2021): Motivection : Journal of Mechanical, Electrical and Industrial Engineering
Publisher : Indonesian Mechanical Electrical and Industrial Research Society (IMEIRS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (877.241 KB) | DOI: 10.46574/motivection.v3i2.85

Abstract

This study explores the management system of technology center and database laboratory which is far from being optimal to facilitate ICT course. This study aims at developing an application used to facilitate ICT learning in order to optimize the computer laboratory use and make it more systematic. The method used in this research is a descriptive qualitative method. The data were collected through observation. The result of the study shows that the application which was developed could simplify the work of the users and administrators in the computer laboratory management system. Tulisan ini dilatarbelakangi oleh belum optimalnya pemanfaatan laboratorium komputer pustekipad (Pusat Teknologi Informasi dan Pangkalan Data) untuk pembelajaran mata kuliah TIK. Dari permasalahan tersebut maka penulis melakukan penelitian untuk membuat sebuah aplikasi peminjaman laboratorium komputer tersebut. Metode yang digunakan dalam penelitian ini menggunakan metode deskriptif kualitatif. Metode observasi juga digunakan dalam pembuatan tulisan ini. Hasil penelitian berupa aplikasi yang digunakan untuk memudahkan penggunaan laboratorium komputer pustekipad untuk pembelajaran TIK. Dosen dan sivitas akademika yang menjadi pengguna di dalam laboratorium ini dengan mudah melakukan peminjaman laboratorium dengan memanfaatkan aplikasi yang telah dibuat. Hal itu mempermudah pengguna dan administrator dalam pengelolaan laboratorium.
Konsep Dasar Ekonomi Menurut Syariat Islam Jamaludin Jamaludin; Reza Syafrizal
MUAMALATUNA Vol 12 No 1 (2020): Januari-Juni 2020
Publisher : Fakultas Syariah UIN Sultan Maulana Hasanuddin Banten

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37035/mua.v12i1.2859

Abstract

Ekonomi syariah dibangun di atas empat karakteristik, yaitu: 1). dialektikanilai-nilai spritualisme dan materialism; 2. kebebasan berekonomi; 3. dualisme kepemilikan; 4. menjaga kemaslahatan individu dan masyarakat. Hasil Penelitian menunjukan bahwa konsep dasar ekonomi dan keuangan islam adalah terdapat pada Bangunan ekonomi Islami itu didasarkan atas lima nilai universal, yakni: Tauhid (keimanan), ’Adl (keadilan). Nubuwwah (kenabian),Khalifah (pemerintah),dan Ma’ad (hasil). Kelima ini menjadi dasar inspirasi untuk menyusun proposi-proposisi dan teori-teori ekonomi Islami. Dalam operasionalnya, lembaga keuangan syariah yang menerapkan keuangan Islam berada menerapkanprinsip-prinsip keadilan, yakni berbagi keuntungan atas dasar penjualan riil sesuai kontribusi dan resiko masing-masingpihak. Kemitraan, yang berarti posisi nasabah investor (penyimpan dana), dan pengguna dana, serta lembaga keuangan itu sendiri, sejajar sebagai mitra usaha yang saling bersinergi untuk memperolehkeuntungan. Transparansi, lembaga keuangan Syariah akan memberikan laporan keuangan secara terbuka dan berkesinambungan agar nasabah investor dapat mengetahui kondisidananya. Universal, yang artinya tidak membedakan suku, agama, ras, dan golongan dalam masyarakat sesuai dengan prinsip Islam sebagai rahmatan lilalamin.Kata Kunci: konsep dasar, ekonomi, syariah,
Strategic optimization of artificial intelligence digital learning in informatics engineering Aan Ansori; Birru Muqdamien; Ahmad Tabrani; Reza Syafrizal; Sutanto Sutanto; Eko Wahyu Wibowo; Syifa Amara Dhestiyani
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 15, No 4: August 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v15.i4.pp2999-3008

Abstract

This study examines the strategic optimization of artificial intelligence (AI)-based digital learning in the Department of Informatics Engineering by analyzing the interaction between internal and external factors that influence successful implementation. Employing a qualitative approach based on strengths, weaknesses, opportunities, and threats (SWOT) analysis, this research utilizes the internal factor analysis summary (IFAS) and external factor analysis summary (EFAS) to assess institutional readiness, constraints, and strategic opportunities for AI integration in higher education. The results indicate that external factors exert a stronger strategic influence than internal factors, as reflected by a higher EFAS score (1.50) compared to the IFAS score (1.25). Key external opportunities include the increasing demand for AI competencies, supportive national policies, and opportunities for industry collaboration, while the main internal limitations are limited faculty expertise in AI and insufficient AI-specific learning resources. Based on these findings, this study formulates a SWOT-based strategic framework that converts analytical outcomes into practical recommendations for curriculum development, faculty capacity building, and the adoption of adaptive AI learning technologies. This research contributes a context-specific and empirically grounded strategic model that advances AI integration beyond descriptive analysis, supporting more effective, personalized, and sustainable digital learning, particularly within Informatics Engineering programs in Indonesian Islamic higher education institutions.
Co-Authors Aan Ansori Ahmad Tabrani Birru Muqdamien Jamaludin Jamaludin Sutanto Sutanto Syifa Amara Dhestiyani Verry Mardiyanto Wahyu Wibowo, Eko