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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.
Peran Kelembagaan Petani Sawit Swadaya Dalam Program Peremajaan Sawit Rakyat (PSR) Di Kabupaten Indragiri Hilir Agung Pramono; Tri Kurniaty; Zulfikar; Riyadi Mustofa
SINTA Journal (Science, Technology, and Agricultural) Vol. 6 No. 2 (2025)
Publisher : Perkumpulan Dosen Muda (PDM) Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37638/sinta.6.2.447–462

Abstract

The Smallholder Palm Oil Rejuvenation Program (PSR) is a strategic government policy aimed at improving the productivity and sustainability of smallholder oil palm plantations, in which farmer institutions play a pivotal role in ensuring effective implementation. This study aims to analyze the factors influencing the role of independent smallholder farmer institutions in supporting the implementation of the PSR program in Indragiri Hilir Regency, Riau Province. A quantitative approach was applied through a survey of 200 independent oil palm farmers, and data were analyzed using Structural Equation Modeling – Partial Least Squares (SEM-PLS) with SmartPLS software. The results show that Institutional Managerial (β = 0.337; p < 0.001), Institutional Performance (β = 0.329; p < 0.001), and Technical and Productivity (β = 0.317; p < 0.001) have a positive and significant effect on the Institutional Role of smallholder farmers. The model demonstrates strong predictive capability, with an R² value of 0.748, indicating that these factors collectively explain a substantial proportion of the variance in institutional effectiveness. These findings highlight the importance of strengthening internal institutional capacity through sound governance, enhanced performance accountability, and improved technical competence to optimize the role of farmer institutions in supporting the success of the PSR program. The study recommends managerial training, institutional transparency, and technology transfer as key strategies to reinforce the strategic role of farmer institutions in achieving sustainable palm oil smallholder development.
Using K-Means Clustering to Analyze Socio-Economic Welfare of Oil Palm Farmers for Decision Support and Contextual Learning Integration Fenty Kurnia Oktorina; Zulfikar; Andri Nofiar Am; Nurkholis; Agung Pramono
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
Co-Authors Agung Pramono Agung Pramono Agung Pramono, Agung Am, Andri Nofiar Andri Nofiar Antoni Pribadi Bamatraf, Lutfia Belia Afifah Belia Afifah Fenty Kurnia Oktorina Fenty Oktorina Fina Nasari habibie, indra Indra Habibie Muhammad Rukhshah Nofiar, Andri Nurkholis Nurkholis Nurkholis Nurkholis Pribadi, Antoni Putra, Dinda Syufradian PUTRI, DINI AMALIA Riyadi Mustofa Rukhshah, Muhammad Tri Kurniaty