Article Per Year (5 Year)
p-Index From 2021 - 2026
0.408
P-Index
This Author published in this journals
All Journal Journal of Innovative and Creativity Jurnal Pengabdian Masyarakat Indonesia
Nita Cahyani
Universitas Padjadjaran
Education Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Social Sciences Other

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Transformasi Digital UMKM: Pengembangan Marketplace BANGKIT (Belanja UMKM Kreatif, Inovatif, dan Komplit) untuk Ekspansi Penjualan Produk Lokal UMKM Kabupaten Subang Rahmat Irsyada; Lani Nurlani; Abd Rachman Mildan; Arnov Abdillah Rahman; Rachmad Augy; Nita Cahyani
JURNAL PENGABDIAN MASYARAKAT INDONESIA Vol. 4 No. 3 (2025): Oktober : Jurnal Pengabdian Masyarakat Indonesia (JPMI)
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jpmi.v4i3.6021

Abstract

Limitations in the adoption of digital technology are a major challenge for Micro, Small, and Medium Enterprises (MSMEs) in Subang Regency, which is reflected in the still-manual production process, conventional business management, and limited marketing reach on a local scale. On the other hand, the general public also faces low digital literacy which hinders participation in the modern economy. This community service program aims to address these problems through the design and development of an integrated marketplace platform called BANGKIT (Creative, Innovative, and Complete MSME Shopping). The program implementation method uses a participatory approach that includes three main stages: (1) development of the marketplace platform as a digital showcase for local products; (2) intensive training and mentoring for MSME actors regarding online store management, product photography, and digital marketing strategies; and (3) facilitation of the onboarding process for MSME products into the platform. The results of this activity are the realization of a functional digital economic ecosystem, increased capacity and empowerment of MSME partners, and expanded market reach for local products. This program not only provides concrete solutions for MSMEs, but also supports the achievement of the Key Performance Indicators (KPI) of higher education through the active involvement of lecturers and students in providing direct benefits to the community. Program outputs are disseminated through publications in community service journals, mass media, activity videos, poster works and reports on increasing the level of partner empowerment: management aspects.
Implementation of the K-Nearest Neighbor Method in a Web-Based Creditworthiness Decision Support System in Employee Cooperatives Nita Cahyani; Rahmat Irsyada; Hidayah Maulida
Journal of Innovative and Creativity Vol. 5 No. 3 (2025)
Publisher : Fakultas Ilmu Pendidikan Universitas Pahlawan Tuanku Tambusai

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

Abstract

The Republic of Indonesia Employees' Cooperative (KPRI) was established as a legal entity based on the principles of family and people's economy, with a primary mandate to improve the welfare of its members. In its operations, savings and loan units are a crucial service. However, the cooperative's financial sustainability often faces serious challenges in the form of the risk of losses due to bad debts from debtors. This problem indicates that conventional methods for assessing prospective borrowers are often inaccurate and risk subjective, necessitating the need for stronger and more systematic criteria as a basis for decision-making. This research aims to address these issues by developing a Decision Support System (DSS) for loan eligibility. Through literature review and the collection of historical member transaction data, this research implements the K-Nearest Neighbor (K-NN) algorithm. This method was chosen for its ability to classify new loan eligibility based on similarity patterns (shortest distance) to previous customer data. The research results show that integrating the K-NN algorithm into the decision support system has a significant positive impact. The system has proven capable of providing classification recommendations that assist cooperative staff in processing loan applications according to predetermined criteria. System testing yielded a feasibility rate of 88%, indicating excellent performance. Overall, it can be concluded that the implementation of the K-NN method in KPRI loan approval processes makes the selection process more objective, accurate, and time-efficient compared to manual methods. This system is suitable for implementation as a strategic solution to minimize the risk of bad debt and maintain the financial stability of cooperatives.
Co-Authors Abd Rachman Mildan Arnov Abdillah Rahman Hidayah Maulida Lani Nurlani Rachmad Augy Rahmat Irsyada