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Pemberdayaan Masyarakat Berbasis Event: Samili Fest Sebagai Model Promosi Potensi Lokal dan Penguatan Ekonomi Kreatif di Desa Samili Kabupaten Bima NTB Firmansyah Kusumayadi; Sri Ernawati; Firdaus Firdaus; Siti Asyitah; Fani Fitriani; Mawardin Mawardin
Indonesia Berdampak: Jurnal Pengabdian kepada Masyarakat Vol. 2 No. 2 (2026): JULI-DESEMBER
Publisher : Indo Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63822/4rypxt25

Abstract

Desa Samili Kabupaten Bima memiliki potensi lokal yang melimpah baik dari sektor pertanian sentral sayuran, UMKM pangan olahan, maupun modal sosial berupa kelembagaan desa yang aktif. Namun, tantangan utama yang dihadapi adalah rendahnya inovasi produk, keterbatasan pemasaran, dan minimnya pemanfaatan teknologi digital. Program Pengabdian Kepada Masyarakat (PKM) ini bertujuan untuk mengembangkan model pemberdayaan berbasis event melalui "Samili Fest" sebagai sarana promosi potensi lokal sekaligus penguatan ekonomi kreatif. Metode pelaksanaan meliputi tiga tahap: (1) persiapan dan pendampingan UMKM (packaging, branding, digital marketing), (2) pelaksanaan event yang mengintegrasikan pameran produk, pertunjukan seni budaya, dan lomba ekonomi kreatif, serta (3) evaluasi dan pembentukan Klaster Ekonomi Kreatif pasca event. Hasil kegiatan menunjukkan bahwa Samili Fest berhasil meningkatkan partisipasi masyarakat (partisipasi 16 UMKM lokal, 1000 lebih pengunjung), meningkatkan omzet UMKM hingga 90%, serta meningkatkan kapasitas pelaku usaha dalam hal pemasaran digital dan jejaring kemitraan. Hasilnya melalui pendekatan event berbasis partisipasi masyarakat efektif sebagai model promosi dan penguatan ekonomi kreatif yang berkelanjutan.
Transformasi UMKM Kuliner dan Kerajinan dengan Machine Learning: Meningkatkan Akurasi Prediksi Permintaan Produk di Provinsi NTB Hanifah Muthiah; Mulyadin Mulyadin; Fani Fitriani
Jurnal Ekonomi dan Pembangunan Indonesia Vol. 4 No. 3 (2026): Agustus: Jurnal Ekonomi dan Pembangunan Indonesia
Publisher : Asosiasi Riset Ekonomi dan Akuntansi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/jepi.v4i3.2578

Abstract

The Industry 5.0 revolution influences business effectiveness by prioritizing digital transformation to unlock significant growth opportunities for MSMEs in Indonesia's culinary and handicraft sectors—which play a vital role in the national economy—particularly through the optimization of production and sales processes. A major challenge facing these MSMEs is product demand uncertainty. This study aims to improve demand prediction accuracy to enhance customer service and minimize inefficiencies associated with overstocking and understocking (which lead to lost sales opportunities). It explores the implementation of machine learning—specifically Support Vector Regression (SVR)—to predict product demand and boost MSME efficiency and competitiveness in a highly competitive digital era, analyzing key factors influencing business success. The dataset comprises 10 MSMEs, 20 MSME-product series, and 480 observations spanning January 2024 to December 2025. The model incorporates sales lags, moving averages, seasonal events, the rainy season, unit prices, and a 12-month cyclical component. The SVR model yielded an MAE of 19.54 units, an RMSE of 35.67 units, and a MAPE of 5.92%. While the model outperformed the seasonal-naive approach (MAPE 6.35%), it did not surpass the naive lag-1 method (MAPE 5.07%). However, the inclusion of external factors reduced the MAPE from 6.57% to 5.92% compared to an SVR model without such factors. These prediction results can serve as a foundation for production and inventory planning, with future developments intended to incorporate more dynamic pricing variables and comprehensive market factors.