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All Journal JURNAL INSTEK (Informatika Sains dan Teknologi) Techno Xplore : Jurnal Ilmu Komputer dan Teknologi Informasi ABDIMAS Jurnal Pengabdian Kepada Masyarakat Jurnal Sains dan Ilmu Terapan Jurnal Pengabdian Masyarakat dan Riset Pendidikan Indonesia Bergerak: Jurnal Hasil Kegiatan Pengabdian Masyarakat
JAJANG MULYANA
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Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Mathematics Public Health Social Sciences Other

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Pengembangan Sistem Informasi Manajemen Kegiatan Masjid Berbasis Website pada Masjid Al Hikmah Budimansyah Purba, Arif; Ahmad Mubarok; Jajang Mulyana; Wawan Kusdiawan
Indonesia Bergerak : Jurnal Hasil Kegiatan Pengabdian Masyarakat Vol. 2 No. 3 (2024): Juli : Jurnal Hasil Kegiatan Pengabdian Masyarakat
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/inber.v2i3.508

Abstract

This research aims to develop a web-based Mosque Management Information System (SIMM) to manage the administrative and operational activities of mosques. The method used in this research is the Systems Development Life Cycle (SDLC) Waterfall model. The SDLC phases include Project Planning Phase, Analysis Phase, Design Phase, Implementation Phase, and Support Phase. This research was conducted at Al Hikmah Mosque, located in Grand Samara Residence, Dusun Kopo, Klari Village, Karawang District. Data and information were collected through surveys and interviews with mosque administrators. The results show that the developed web-based SIMM can improve efficiency in data management, enhance coordination among stakeholders, and increase transparency in financial management. The system was well received by mosque administrators and is expected to improve the overall quality of mosque management. Additionally, this SIMM is expected to provide better services to the congregation and increase the accountability of mosque administrators.
Pengembangan Sistem Pendukung Keputusan Untuk Penerimaan Bantuan Beras Miskin Menggunakan Metode TOPSIS Rizka Amalia; Budimansyah Purba, Arif; Wawan Kusdiawan; Jajang Mulyana; Supriyadi Supriyadi; Willys Willys; Wafiqah Yasmin Azhar
Jurnal Sains dan Ilmu Terapan Vol. 6 No. 2 (2023): Jurnal Sains dan Ilmu Terapan
Publisher : Politeknik Kampar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59061/jsit.v6i2.878

Abstract

The village of Segarjaya has conducted an eligibility survey to obtain low-quality rice, but the information collected is still inaccurate, and the assessment of the eligibility for low-quality rice is not standardized. Due to the lack of standardization and inaccuracies regarding the recipients of poor rice assistance, the community often protests. The aim of this research is to develop a DSS system capable of providing accurate data results to the assistance recipients and implementing standard evaluation criteria for the recipients of poor rice. The TOPSIS method was chosen to create the DSS system. The research procedure starts with data collection, followed by the decision matrix, determining whether the solution is positive or negative ideal, the optimal distance between solutions, and the preference values for each option. The result of this research is a DSS algorithm that can be applied to PBM, which can support the Segarjaya village authorities to be more accurate in making decisions for the recipients of poor rice subsidies.
Akses Ruangan Menggunakan Radio Frequency Identification Dengan Metode Eksperimental Berbasis Web M. Angga Permana; Arif Budimansyah Purba; Roles Herwin S; Jajang Mulyana; Wawan Kusdiawan; Supriyadi Supriyadi; Willys Willys
Jurnal Sains dan Ilmu Terapan Vol. 6 No. 2 (2023): Jurnal Sains dan Ilmu Terapan
Publisher : Politeknik Kampar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59061/jsit.v6i2.880

Abstract

The rapid development of information systems has highlighted the need for integrated solutions that streamline access and control mechanisms. Radio Frequency Identification (RFID) technology has emerged as a reliable tool for identifying and tracking objects using radio signals. Its applications have expanded to inventory management, logistics, security, and access control. One such application involves enhancing room access systems using RFID, which improves user security and portability. However, at Horizon University, ID-Cards are currently underutilized, serving only as student identification without supporting additional functionalities. This research introduces a web-based experimental approach to developing an RFID-enabled room access system. The proposed system integrates RFID technology to control and monitor room access effectively, ensuring that only authorized users can enter. The methodology involves designing a hardware-software interface for data capture, storage, and retrieval through a web platform. This innovation is expected to enhance security, optimize ID-Card utility, and provide comprehensive room access management tailored for educational or organizational environments.
ANALISIS EFEKTIFITAS DIGITALISASI KEWIRAUSAHAAN BERBASIS METAVERSE WAWAN KUSDIAWAN; ARIF BUDIMANSYAH PURBA; JAJANG MULYANA
Jurnal INSTEK (Informatika Sains dan Teknologi) Vol 9 No 1 (2024): APRIL
Publisher : Department of Informatics Engineering, Faculty of Science and Technology, Universitas Islam Negeri Alauddin, Makassar, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/instek.v9i1.46423

Abstract

Era digital telah mempengaruhi bahkan merubah berbagai aspek kehidupan manusia. Digitalisasi layanan merupakan sebuah proses pemakaian sistem digital yang mengubah layanan manual atau analog menjadi berbasis digital dengan memanfaat teknologi informasi bertujuan untuk meningkatkan kinerja, kemudahan, efisiensi waktu, tenaga dan sumber daya. Metaverse merupakan konsep dunia virtual yang dapat dimiliki dan diisi dengan berbagai benda dan kegiatan selayaknya dunia nyata melalui tampilan 3 dimensi. Penelitian ini akan memberikan pemahaman yang lebih mendalam tentang bagaimana Metaverse mempengaruhi kewirausahaan. Hasil penelitian ini akan memberikan panduan praktis kepada pengusaha tentang bagaimana mereka dapat memanfaatkan potensi Metaverse dalam bisnis mereka. Metaverse sangat efektif dan memiliki potensi pengembangan yang besar.
Sistem Pendukung Keputusan Pemilihan Supplier Terbaik Menggunakan Multi Factor Evaluation Process (MFEP): Penelitian Yungki Gunawan; Arif Budimansyah P.; Wawan Kusdiawan; Rolles Herwin; Jajang Mulyana; Ahmad Mubarok; Cepi Indra Grahana
Jurnal Pengabdian Masyarakat dan Riset Pendidikan Vol. 3 No. 4 (2025): Jurnal Pengabdian Masyarakat dan Riset Pendidikan Volume 3 Nomor 4 (April 2025
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jerkin.v3i4.520

Abstract

Supplier selection is the most important thing for a company to find out the best supplier who will supply products to the company, especially at Toserba Fajar Karawang. The supplier selection process at Toserba Fajar Karawang is still not systematic enough so that the supplier selection process is not accurate. Therefore, a decision support system is needed in supplier selection which is part of the computer information system used by a company which will later process data into information to make a decision. The purpose of this study is expected to help in the goods order section in the process or determine the selection of the best supplier selection built using the Multifactor Evaluation Process (MFEP) method, this method was chosen because it can provide subjective and intuitive considerations in a decision so that these considerations are in the form of giving weight to multifactors that are considered important to the alternatives that have been selected. Based on the final result, namely a decision support system for selecting the best supplier where users can input and get the stored data, namely criteria data, sub-criteria data, supplier data, product data, selection data, and report data.
Analisis Dampak Pemanfaatan Teknologi Digital terhadap Keberhasilan Pembelajaran dengan Menggunakan Model Pembelajaran Terbalik di Pendidikan Tinggi : Penelitian Budimansyah Purba, Arif; Jajang Mulyana; Ahmad Mubarok; Wawan Kusdiawan
Jurnal Pengabdian Masyarakat dan Riset Pendidikan Vol. 3 No. 4 (2025): Jurnal Pengabdian Masyarakat dan Riset Pendidikan Volume 3 Nomor 4 (April 2025
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jerkin.v3i4.682

Abstract

This study aims to analyze the impact of digital technology utilization on learning success in higher education using the flipped learning model. The flipped learning model shifts content delivery outside the classroom through digital media, allowing in-class time to be focused on active discussions and problem-solving. This research uses a quantitative approach with a survey method involving students from various study programs at a higher education institution. Data were collected through questionnaires measuring students' perceptions of the effectiveness of digital technology, participation levels, and learning outcomes. The analysis results indicate that the use of digital technology significantly enhances student engagement and understanding of the material, positively impacting learning success. These findings highlight the importance of integrating technology into innovative learning strategies to support the transformation of higher education.
Penerapan Kecerdasan Buatan (AI) untuk Meningkatkan Kompetensi Siswa Sekolah Menengah Atas   Jembar Jomantara, Muhammad; Jajang Mulyana; Arif Budimansyah Purba; Anwar Hilman; Deden Moh Alfiansyah
ABDIMAS Jurnal Pengabdian Kepada Masyarakat Vol. 6 No. 2 (2025): ABDIMAS JURNAL PENGABDIAN KEPADA MASYARAKAT
Publisher : Research and Community Service INSTITUT TEKNOLOGI DAN BISNIS KALBIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53008/cey30r10

Abstract

Kecerdasan buatan (AI) sebagai alat untuk meningkatkan kompetensi siswa sekolah menengah kejuruan yang dilakukan melalui proyek pengabdian kepada masyarakat di SMA Negeri 3 Cikampek. Kemajuan teknologi yang pesat mengharuskan lembaga pendidikan menyesuaikan metode pembelajarannya untuk mempersiapkan siswa menghadapi tuntutan dalam dunia kerja. Proyek ini bertujuan untuk mengintegrasikan perangkat pembelajaran berbasis AI kedalam kurikulum, memberikan siswa pengalaman langsung dan pengetahuan praktis yang relevan dengan bidang studi mereka Metologi yang digunakan meliputi lokakarya interaktif, demonstrasi, dan penerapan perangkat lunak pendidikan berbasis AI. Kegiatan yang dilakukan meliputi 1 hari dengan dilakukannya penyampaianmateri secara lansgung. Hasil yang didapatkan menggambarkan peningkatan pemahaman yang dimiliki oleh siswa ketika menggunakan teknologi AI dalam memahami materi kecerdasan buatan (IOT).
Sistem Pendukung Keputusan Penerimaan Beasiswa Menggunakan Metode Bayesian Probability Untuk Meningkatkan Akurasi Seleksi Wahyudi; Jajang Mulyana
Techno Xplore: Journal of Computer Science and Information Technology Vol. 11 No. 1 (2026): Techno Xplore: Jurnal Ilmu Komputer dan Teknologi Informasi
Publisher : Informatics Engineering, Faculty of Engineering and Computer Science, Universitas Buana Perjuangan Karawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36805/pr4y8n46

Abstract

Scholarship selection processes in higher education institutions commonly involve multiple evaluation criteria, making manual assessment time-consuming, inconsistent, and prone to subjective bias. This study proposes a web-based Decision Support System (DSS) for scholarship recipient selection, built upon Bayesian Probability inference integrated with Laplace Smoothing to address the zero-probability limitation inherent in conventional Naive Bayes classification. The system processes five standardized selection criteria — cumulative GPA, parental income, residential status, active semester, and non-academic achievement — and produces real-time eligibility recommendations alongside normalized posterior probability visualizations to enhance decision transparency. A dataset of 150 historical scholarship application records from a university in Karawang, covering two academic years (2022/2023 and 2023/2024), was used to train and evaluate the model. Performance assessment was conducted through 5-fold cross-validation, yielding a mean accuracy of 91.67%, precision of 90.00%, recall of 93.33%, and F1-score of 91.61%. Comparative analysis against conventional Naive Bayes, TOPSIS, and Bayesian-AHP hybrid methods demonstrated consistent superiority across all evaluation metrics. The 13.67% accuracy improvement over conventional Naive Bayes was primarily attributed to the elimination of zero-probability events through Laplace Smoothing with α = 1, as well as structured posterior normalization. User acceptance testing confirmed that the probability distribution visualization feature significantly improved operator comprehension of the system's reasoning. These findings establish Bayesian Probability with Laplace Smoothing as a technically sound and practically effective foundation for automated, transparent, and auditable scholarship decision support systems.
Co-Authors Ahmad Mubarok Anwar Hilman Arif Budimansyah P. Arif Budimansyah Purba Budimansyah Purba, Arif Cepi Indra Grahana Deden Moh Alfiansyah Jembar Jomantara, Muhammad M. Angga Permana Rizka Amalia Roles Herwin S Rolles Herwin Supriyadi Supriyadi Wafiqah Yasmin Azhar Wahyudi Wawan Kusdiawan Willys Willys Yungki Gunawan