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297 publikasi ditemukan di Fakultas Kesehatan Masyarakat
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PENGEMBANGAN ENTREPRENEURSHIP BAGI UMKM KAWASAN AGROPOLITAN MELALUI PELATIHAN DAN PEMBUATAN PRODUK OLAHAN BERBASIS JAGUNG PULUT DI DESA MULYONEGORO, KECAMATAN PULUBALA, KABUPATEN GORONTALO

Insan Cita Jurnal Pengabdian Kepada Masyarakat doi:10.32662/insancita.v8i1.4544

Glut corn is a local commodity with significant potential for development as a value-added food ingredient. However, limited product innovation, technical skills, and marketing strategies remain major challenges for Micro, Small, and Medium Enterprises (MSMEs) in Mulonegoro Village, Pulubala District, Gorontalo Regency. This community service activity aims to describe the implementation of training in the production of glutinous corn-based processed products and assess its impact on increasing the capacity of MSMEs. The method used was a qualitative participatory approach through preparation, entrepreneurship training, and practice. Participants produced product innovations in the form of glutinous corn sticks, and demonstrated readiness to market their products independently. These findings confirm that local potential-based training can strengthen MSME motivation, increase product competitiveness, and open opportunities for village economic development. In conclusion, utilizing glutinous corn through diversified processed products not only supports the sustainability of MSMEs but can also be a strategy for economic empowerment based on local wisdom. Further research is recommended to explore digital marketing strategies and partnership models that can expand the reach of glutinous corn-based MSME products.

Jurnal Nasional 2026 Garuda OA
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Artikel Jurnal • 2026 • SINTA 4 •

TINJAUAN SISTEMATIS KOMPARASI PCI DAN VISI KOMPUTER UNTUK EVALUASI KERUSAKAN JALAN

RADIAL: Jurnal Peradaban Sains, Rekayasa dan Teknologi

Abstract

This study aims to conduct a comparative analysis of the conventional Pavement Condition Index (PCI) method and a computer vision-based approach in evaluating road pavement damage in Indonesia. The method used was a Systematic Literature Review (SLR) based on the PRISMA 2020 guidelines. Data were collected through a structured search of the Scopus and Google Scholar databases, identifying 27 selected studies that met the inclusion criteria. The results show that PCI has high accuracy and is internationally recognized for evaluating 20 types of damage, but it requires significant time, cost, and manpower and involves subjectivity. Conversely, computer vision using deep learning algorithms can provide fast, objective, and scalable results with 76–95% accuracy, although it is still limited to specific types of damage and is influenced by environmental factors. This study recommends a hybrid approach that integrates both methods, along with the use of low-cost technologies, such as smartphones and GIS-based UAVs, to support more efficient road infrastructure maintenance in Indonesia.

Kata Kunci

Pavement Evaluation Road Damage PCI Method Literature Review Computer Vision

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