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Journal : Jurnal Tekinkom (Teknik Informasi dan Komputer)

PENGEMBANGAN APLIKASI MOBILE UMKM UNTUK MENINGKATKAN PENJUALAN DAN JANGKAUAN PASAR Sirait, Erwin; Purba, Arifin Tua
Jurnal Teknik Informasi dan Komputer (Tekinkom) Vol 7 No 2 (2024)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/tekinkom.v7i2.1848

Abstract

Micro, small, and medium enterprises (MSMEs) play a crucial role in the Indonesian economy, including in Pematangsiantar City, which has more than 29,000 MSMEs. However, MSMEs face various challenges, such as tight competition, limited market access, and lack of adoption of digital technology. This study aims to develop a mobile application for MSMEs to improve operational efficiency, expand market reach, and increase competitiveness. The methods used include literature studies, data collection from local MSMEs, flowchart and ERD-based system design, and application testing to ensure its functionality. The application developed has key features such as product management, digital transactions, and integration with logistics partners and payment systems. The results of the study show that digitalization through mobile applications can increase market reach, accelerate transactions, and provide convenience in business management for MSME actors. Thus, digital transformation through this application has the potential to be an effective solution in increasing MSME growth and supporting business sustainability in the digital era.
SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN MAHASISWA PKL TERBAIK MENGGUNAKAN METODE MOOSRA Purba, Arifin Tua; Manalu, Andi Setiadi; Sirait, Erwin
Jurnal Teknik Informasi dan Komputer (Tekinkom) Vol 8 No 1 (2025)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/tekinkom.v8i1.2137

Abstract

Politeknik Bisnis Indonesia is a vocational higher education institution committed to producing graduates who are not only academically competent but also equipped with practical skills required in the workforce. One of the essential programs in its curriculum is the Internship (PKL), designed to allow students to apply their knowledge in real-world work environments. However, the selection of the best internship students has been conducted manually, leading to inefficiencies and potential subjectivity in the evaluation process. This study aims to design a Decision Support System (DSS) using the MOOSRA (Multi-Objective Optimization on the Basis of Simple Ratio Analysis) method to support a more objective and systematic selection process. The evaluation involves five main criteria: discipline, teamwork, skill, work quality, and attendance, with six student candidates as alternatives. The research stages include problem identification, criteria and weight determination, data collection, data processing with the MOOSRA method, system design, and system testing. The results show that the MOOSRA method effectively ranks the students, with student A4 selected as the best internship participant with the highest Yi score of 6.12347. This research demonstrates that the MOOSRA method can significantly improve decision-making accuracy and fairness in multi-criteria selection processes.