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All Journal Elkom: Jurnal Elektronika dan Komputer APPA : Jurnal Pengabdian Kepada Masyarakat
Budi Santoso
Universitas Pamulang
Computer Science & IT Economics, Econometrics & Finance Education Law, Crime, Criminology & Criminal Justice Medicine & Pharmacology

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Penguatan Literasi Kecerdasan Buatan Melalui Pengenalan dan Pelatihan Pembuatan AI Agent bagi Siswa SMK Budi Santoso; Andri Fahmi; Yudi Permana Wiyadi
APPA : Jurnal Pengabdian Kepada Masyarakat Vol 4 No 1 (2026): APPA : Jurnal Pengabdian kepada Masyarakat 
Publisher : Shofanah Media Berkah

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Abstract

Perkembangan pesat kecerdasan buatan (AI) belum diimbangi dengan tingkat literasi AI di kalangan siswa sekolah menengah atas, sehingga banyak siswa berperan sebagai pengguna pasif tanpa kemampuan kritis dan produktif. Berdasarkan survei awal pada siswa kelas 12 MAN 1 Kota Tangerang Selatan, lebih dari 75% siswa belum memahami konsep dasar, cara kerja, dan potensi pemanfaatan AI. Kegiatan Pengabdian kepada Masyarakat (PkM) ini bertujuan meningkatkan literasi AI melalui penyuluhan edukatif dan pelatihan praktis pembuatan AI agent berbasis platform ramah pemula. Metode yang digunakan meliputi ceramah interaktif, diskusi, demonstrasi, dan praktik terbimbing dengan melibatkan 40 siswa. Hasil yang ditargetkan mencakup peningkatan literasi AI minimal 40% berdasarkan pre-test dan post-test, pengembangan produk AI sederhana oleh siswa, penyusunan modul pelatihan berkelanjutan, serta publikasi ilmiah. Kegiatan ini diharapkan menjadi langkah konkret dalam mempersiapkan generasi muda yang adaptif dan kompeten di era digital.
ANALISIS PENERAPAN METODE WEIGHTED PRODUCT WP UNTUK PENILAIAN KELAYAKAN KREDIT KENDARAAN BERMOTOR Damal Lihan; Budi Santoso; Andri Krisna Wijaya
Elkom: Jurnal Elektronika dan Komputer Vol. 19 No. 1 (2026): Juli : Jurnal Elektronika dan Komputer
Publisher : STEKOM PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/elkom.v19i1.3923

Abstract

In the credit approval process, prospective customers are first surveyed, after which the Credit Analyst determines whether they are eligible to receive credit. A Credit Analyst is required to work quickly and accurately when analyzing the large number of incoming credit applications. As a result, the possibility of human error cannot be ignored, such as calculation errors, data misinterpretation, and other mistakes. Therefore, to support the decision-making process in determining customer creditworthiness, a computer-based system is needed to facilitate data analysis, evaluate credit applicant criteria, and process data into meaningful information for making decisions regarding semi-structured problems. A Decision Support System (DSS) is an appropriate solution to assist in the selection of motor vehicle credit applicants. The system is designed using the Weighted Product (WP) method, which is one of the methods in Fuzzy Multiple Attribute Decision Making (FMADM). The WP method was chosen because the criteria weighting calculations are relatively simple and not overly complex. The proposed system is expected to assist in the selection of credit applicants, thereby accelerating the credit evaluation process and reducing errors in determining customer creditworthiness. With the implementation of this system, Credit Analysts can more easily identify customers who are eligible to receive motor vehicle credit. In addition, the calculation process for determining the most suitable customers becomes easier and faster. The system also helps management reduce difficulties in selecting the best customers by considering and representing each evaluated criterion, resulting in accurate and reliable decisions.
Co-Authors Andri Fahmi Andri Krisna Wijaya Damal Lihan Yudi Permana Wiyadi