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

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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.
Pelatihan Pembuatan Video Konten Digital Marketing untuk Meningkatkan Kemampuan Literasi Visual dan Kreativitas Siswa Menggunakan Aplikasi Capcut Berbasis Artificial Intelligence Mega Permata Sapani; Wulan Pahira; Damal Lihan
APPA : Jurnal Pengabdian Kepada Masyarakat Vol 4 No 1 (2026): APPA : Jurnal Pengabdian kepada Masyarakat 
Publisher : Shofanah Media Berkah

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Perkembangan media digital telah mendorong peningkatan penggunaan konten video sebagai sarana komunikasi dan pemasaran. Namun, siswa masih belum optimal dalam memanfaatkan teknologi tersebut secara produktif, khususnya dalam pembuatan konten digital marketing yang kreatif dan bernilai. Program ini bertujuan memberikan pelatihan pembuatan video menggunakan aplikasi CapCut berbasis Artificial Intelligence untuk meningkatkan literasi visual dan kreativitas siswa. Metode pelaksanaan meliputi sosialisasi, pelatihan, praktik, dan evaluasi. Luaran berupa peningkatan kemampuan siswa, produk video, dan modul pelatihan. Kegiatan pengabdian ini diusulkan dalam bentuk sosialisasi literasi digital dan keamanan data pribadi bagi siswa MA Negeri 1 Kota Tangerang Selatan. Target luaran dari kegiatan ini adalah meningkatnya pemahaman dan keterampilan siswa dalam mengimplementasikan literasi digital yang sehat dan aman, terbentuknya kesadaran kolektif mengenai pentingnya memanfaatkan teknologi tersebut secara produktif, khususnya dalam pembuatan konten digital marketing yang kreatif dan bernilai.
Co-Authors Andri Krisna Wijaya Budi Santoso Mega Permata Sapani Wulan Pahira