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Perancangan sistem promosi produk-produk UMKM berbasis Openchart untuk kesejahteraan masyarakat di daerah Sungai Pua Putri, Melyana; Zulfikar, Zulfikar; Fadilah, Titi
JOVISHE : Journal of Visionary Sharia Economy Vol. 3 No. 2 (2024): Edition December 2024
Publisher : Yayasan Lembaga Studi Makwa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57255/jovishe.v3i2.488

Abstract

This research aims to address the issue of unstable turnover fluctuations in MSMEs in the Sungai Pua area, which is one of the regions with significant potential for the growth of micro, small, and medium enterprises. (UMKM). As the main drivers of the local economy, MSMEs in this area offer a variety of local products, such as handicrafts, processed food products, and other household items, which have significant potential in the region. However, MSME actors here often face various challenges that hinder the development of their businesses. Limited access to broader markets and a lack of understanding of digital marketing technology are the main issues that slow down business progress. In addition, limited resources, both financially and in terms of labor, make it difficult for MSME actors to manage promotions efficiently. Sales fluctuations that result in unstable revenue pose a significant challenge in maintaining income stability and business sustainability. Dependence on traditional marketing methods that rely solely on direct sales in the local market increasingly reduces the space for SMEs to compete in the rapidly growing market. Therefore, innovative solutions are needed to help MSME actors overcome these limitations and enhance their competitiveness. This study aims to design an OpenCart-based promotional system that can help SMEs market their products more effectively. This system is designed with various features, such as product management, digital promotion, social media integration, and sales reporting, aimed at improving operational efficiency and expanding market access. The Research and Development (R&D) method with a 4D model approach is applied in this study, which includes needs analysis, design, development, implementation, and system functionality evaluation to ensure successful implementation in the context of MSMEs.
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.
Penerapan Data Mining Untuk Analisis Hasil Belajar Mahasiswa (Studi Kasus Mahasiswa Teknik Informatika Politeknik Kampar) Zulfikar Zulfikar; Fenty Kurnia Oktorina
Journal of Innovative and Creativity Vol. 5 No. 2 (2025)
Publisher : Fakultas Ilmu Pendidikan Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/joecy.v5i2.2759

Abstract

Hasil belajar mahasiswa merupakan indikator utama dalam menilai kualitas pendidikan tinggi. Analisis akademik konvensional sering kali memiliki keterbatasan dalam mengidentifikasi pola tersembunyi dalam data akademik secara komprehensif. Oleh karena itu, penelitian ini menerapkan metode data mining dengan algoritma K-Means Clustering untuk mengelompokkan mahasiswa berdasarkan capaian akademik mereka. Penelitian ini dilakukan di Program Studi Teknik Informatika, Politeknik Kampar, dengan menganalisis variabel utama, yaitu nilai tugas, nilai ujian tengah semester (UTS), nilai ujian akhir semester (UAS), partisipasi, dan kehadiran. Metode K-Means Clustering digunakan untuk mengelompokkan mahasiswa ke dalam kategori berprestasi tinggi, sedang, dan rendah guna memperoleh pemahaman yang lebih mendalam mengenai pola akademik mereka. Hasil penelitian ini mampu mengidentifikasi kelompok mahasiswa secara optimal, sehingga dapat menjadi dasar dalam perancangan strategi pembelajaran yang lebih efektif. Dengan demikian, penelitian ini berkontribusi dalam pengembangan sistem pemantauan akademik berbasis data mining, yang dapat meningkatkan efektivitas evaluasi akademik serta kualitas pendidikan tinggi.
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
Development of A Cooperative Digitalization System to Improve Efficiency and Transparency Pramono, Agung; Zulfikar
Poltanesa Vol 26 No 2 (2025): December 2025
Publisher : P3KM Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/tanesa.v26i2.3589

Abstract

The rapid expansion of Indonesia’s palm oil sector has increased the importance of cooperatives in supporting the livelihoods of smallholder farmers. Despite their critical role, many cooperatives still depend on manual administrative practices, which often lead to slow reporting, fragmented records, and limited access to reliable information. This study responds to these issues by developing a web-based digital system designed to improve cooperative management and strengthen financial accountability. The research follows a Research and Development approach and applies the Extreme Programming method to ensure that system development remains flexible, iterative, and closely aligned with user needs. Field data were collected through interviews and direct observation at KUD Sawit Jaya UUO Petapahan Makmur Sejahtera. These inputs informed the design of three main system components: a digital member management module, an automated financial transaction module, and an interactive dashboard that presents real-time cooperative information. The system has been fully developed and adopted by the cooperative. Early use indicates clear improvements in administrative efficiency, accuracy of financial records, and transparency of information shared with members. Overall, the system provides a practical digital solution for rural cooperatives and offers a model that can be adapted by other smallholder-based organisations across Indonesia’s palm oil regions.