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All Journal Brilliance: Research of Artificial Intelligence Jurnal Pengabdian Masyarakat Bangsa
Angga Pratama
Universitas Malikussaleh, Indonesia
Agriculture, Biological Sciences & Forestry Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Health Professions Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Mathematics Medicine & Pharmacology Nursing Physics Public Health Social Sciences Other

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Pendampingan Pemanfaatan Sistem Informasi Otomatis dalam Pendataan Jadwal Siswa di SMK Negeri 3 Lhokseumawe Angga Pratama; Sayed Fachrurrazi; Burhanuddin Burhanuddin; Andik Bintoro; Wahyu Fuadi; Badriana Badriana
Jurnal Pengabdian Masyarakat Bangsa Vol. 4 No. 4 (2026): Juni
Publisher : Amirul Bangun Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59837/jpmba.v4i4.4561

Abstract

Aplikasi penjadwalan mata pelajaran ini dikembangkan untuk menyediakan solusi otomatis dan efisien dalam penyusunan jadwal piket dan mata pelajaran di SMK Negeri 3 Lhokseumawe. Sistem ini mempertimbangkan kebutuhan khusus setiap kelas, sehingga guru dan siswa dapat dengan mudah mengakses, memperbarui, dan memantau jadwal. Fitur penyesuaian, termasuk perubahan ruang kelas dan pergantian mata pelajaran, membantu meminimalkan konflik jadwal dan mempercepat proses penyusunan. Implementasi aplikasi menunjukkan peningkatan efisiensi, kemudahan analisis pembuatan jadwal, serta pengalaman pengguna yang lebih baik. Dengan demikian, aplikasi ini memberikan solusi praktis bagi pengelolaan jadwal, PKM ini  memberikan solusi dengan mengotomatisasi proses penyusunan jadwal, sehingga guru dan siswa dapat mengelola jadwal secara lebih efisien, meningkatkan efisiensi, mempermudah manajemen jadwal, dan dapat dijadikan alat analisis serta pengoptimalan penjadwalan pelajaran di sekolah. Dampak Kegiatan pengabdian ini meningkatkan kemampuan guru dan tenaga kependidikan dalam mengelola jadwal siswa secara cepat, akurat, dan terstruktur. Sistem informasi otomatis juga mengurangi kesalahan pendataan, mempercepat penyampaian jadwal, serta mendukung tata kelola administrasi sekolah yang lebih efektif.
Decision Support System for Potential Stock Selection Recommendations Using AHP and Profile Matching Methods Ilham Sahputra; Veri Ilhadi; Angga Pratama; Syukriah Syukriah; Tiara Minda Arifa
Brilliance: Research of Artificial Intelligence Vol. 5 No. 1 (2025): Brilliance: Research of Artificial Intelligence, Article Research May 2025
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v5i1.5981

Abstract

This study presents the design and implementation of a Decision Support System (DSS) aimed at facilitating the selection of potential banking stocks by novice investors. The system integrates two well-established decision-making methodologies: the Analytical Hierarchy Process (AHP) and Profile Matching. The objective is to provide a structured, data-driven approach that assists users in making informed and objective investment decisions based on critical financial performance indicators. These indicators include Price to Earnings Ratio (PER), Price to Book Value (PBV), Return on Assets (ROA), Return on Equity (ROE), Earnings Per Share (EPS), Book Value Per Share (BVPS), Debt Ratio (DR), and Dividend Yield (DY). In this system, AHP is employed to calculate the relative weight or importance of each financial criterion through pairwise comparisons, incorporating users judgment in the weighting process. Once the weights are determined, the Profile Matching method is used to assess and rank the alternative banking stocks based on how closely they align with the ideal profile defined by the criteria. The results of the analysis identified Bank Mandiri (BMRI) as the top-ranked stock, followed by Bank Rakyat Indonesia (BBRI) and Bank Central Asia (BBCA), indicating their strong fundamental performance according to the selected indicators. To validate the system's functionality, black-box testing was conducted on 21 different modules, all of which yielded valid outcomes. This confirms that the application operates correctly and reliably. Overall, the study concludes that the DSS is effective, user-friendly, and valuable as a decision support tool, especially for beginner investors targeting the banking sub-sector.
Co-Authors Andik Bintoro Badriana, Badriana Burhanuddin Burhanuddin Ilham Sahputra Sayed Fachrurrazi Syukriah Syukriah Tiara Minda Arifa Veri Ilhadi Wahyu Fuadi