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Pelatihan dan Pedampingan Kapasitasi Wirausaha Melalui Manajemen Keuangan dan STOK Pada UMKM Kuliner Afifah, Belia; Bamatraf, Lutfia; Nurkholis, Nurkholis; Zulfikar, Zulfikar
Journal Of Rural Community Development Vol. 2 No. 2 (2025): Volume 2 Nomor 2 Tahun 2025
Publisher : Jurusan Ilmu Sosial dan Ilmu Politik

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/jrcd.v2i2.29

Abstract

Abstrak Industri kuliner skala kecil berbasis rumahan atau UMKM menjadi pilihan utama karena fleksibilitas produksi dan risiko yang lebih rendah. Namun, banyak UMKM kuliner menghadapi kendala dalam manajemen keuangan dan stok, termasuk Warung Sarapan Pagi Simp. Manunggal di Kampar Kiri. Tantangan utama yang dihadapi adalah pencatatan keuangan yang belum sistematis dan pengelolaan stok yang kurang efektif, yang menyebabkan pemborosan bahan baku dan kesulitan dalam menentukan harga jual yang kompetitif. Oleh karena itu, tim pengabdian kepada masyarakat dari Program Studi Teknologi Rekayasa Logistik menginisiasi program pelatihan dan pendampingan dalam manajemen keuangan dan stok bagi pemilik usaha. Pelatihan ini mencakup pencatatan keuangan sederhana, analisis keuangan, perencanaan anggaran, serta strategi pengendalian biaya, sementara pendampingan manajemen stok berfokus pada pencatatan persediaan, serta perencanaan kebutuhan bahan baku. Pelatihan dan pedampingan pencatatan keuangan dan stok dilakukan menggunakan aplikasi SIAPIK (Sistem Informasi Aplikasi Pencatatan Informasi Keuangan). Program Pengabdian ini bertujuan untuk meningkatkan efisiensi operasional, profitabilitas, dan keberlanjutan usaha. Diharapkan, model pendampingan ini dapat diterapkan oleh UMKM kuliner lainnya guna meningkatkan daya saing dan ketahanan bisnis mereka.
Using K-Means Clustering to Analyze Socio-Economic Welfare of Oil Palm Farmers for Decision Support and Contextual Learning Integration Oktorina, Fenty Kurnia; Zulfikar; Am, Andri Nofiar; Nurkholis; Pramono, Agung
Jurnal Penelitian Pendidikan IPA Vol 11 No 4 (2025): April
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v11i4.10975

Abstract

This study aims to cluster the welfare levels of oil palm farmers in Gading Sari Village, Tapung, using the K-Means Clustering algorithm. The analyzed variables include land area, family dependents, average monthly income, additional income, and educational attainment. Previous studies have extensively discussed the welfare of oil palm farmers. This research uses clustering methods to uncover new and more detailed findings about the welfare of oil palm farmers in rural areas. This approach offers a fresh perspective and can be utilized to support data-driven decision-making processes by the government. Data were collected through interviews with 111 oil palm farmers, processed through normalization, and analyzed using the elbow method to identify the optimal number of clusters. The results identified three main clusters: low, medium, and high welfare levels. Land area and average monthly income were the most significant differentiating factors among the clusters. This study's fundamental distinction lies in applying the K-Means algorithm to integrate the socioeconomic aspects of oil palm farmers into specific clusters. These clusters will provide new insights into their welfare conditions. The findings are expected to assist governments and stakeholders in designing more effective and targeted development programs for oil palm
Performance measurement design using objective matrix (Case study: an egg-laying chicken farming) Afifah, Belia; Habibie, Indra; Zulfikar, Zulfikar; Nurkholis, Nurkholis; Am, Andri Nofiar; Putri, Dini Amalia
Jurnal Teknik Industri Terintegrasi (JUTIN) Vol. 8 No. 1 (2025): January
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jutin.v8i1.38942

Abstract

Increased demand and quality pressures are affecting businesses, as experienced by an Egg Laying Chicken Farming, a small and medium-sized enterprise (SME) Poultry Farm located in Salo Subdistrict, Kampar Regency, Riau Province. Previously, performance evaluations were solely based on monthly egg product sales. Therefore, this research aims to analyze the potential and constraints, and to prioritize strategies for business owners by comprehensively measuring business performance, thus allowing for the provision of suitable strategic recommendations. The measurement model is based on several indicators such as Productivity of Laying Hens, Effective Working Hours, Ratio of defect product, Equipment Productivity, and Productivity of Labor Involved, using the Objective Matrix (OMAX) method. The measurement results are analyzed using the Traffic Light System (TLS) to identify the ratio of indicators that fall below the standards set by the business owner, allowing for further analysis to obtain useful strategic recommendations for future productivity improvement.