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Analisis Pengaruh Harga Terhadap Keputusan Pembelian Sapi Pada Ternak Tani Lubis Cahyani, Annisa; Priyana, Winda; Akbar, Rahmad; Yetti, Dzulhijjah; Rahmat, Hayatul Khairul; Nurbit, Nurbit; Veronika, Nina; Deli, Nur Asma
IKRAITH-EKONOMIKA Vol. 9 No. 1 (2026): IKRAITH-EKONOMIKA Vol 9 No 1 Maret 2026
Publisher : Universitas Persada Indonesia YAI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37817/ikraith-ekonomika.v9i1.5693

Abstract

Penelitian ini bertujuan untuk menganalisis pengaruh harga terhadap keputusan pembelian sapipada peternakan Tani Lubis. Penelitian menggunakan metode kuantitatif dengan pendekatandeskriptif dan verifikatif. Data primer dikumpulkan melalui kuesioner yang dibagikan kepada 98responden konsumen Tani Lubis. Hasil uji instrumen menunjukkan bahwa kuesioner valid danreliabel dengan nilai Cronbach’s Alpha sebesar 0,872. Analisis data menggunakan regresi liniersederhana. Hasil penelitian memperlihatkan bahwa harga memiliki pengaruh positif dan signifikanterhadap keputusan pembelian. Nilai koefisien determinasi (R²) sebesar 46,2% yang berartikeputusan pembelian dijelaskan oleh faktor harga, sedangkan 53,8% dipengaruhi faktor lain di luarpenelitian ini. Uji signifikansi menunjukkan nilai t-hitung sebesar 8,523 lebih besar dari t-tabel1,984 dengan tingkat signifikansi 0,000 < 0,05. Dengan demikian, harga terbukti menjadi salahsatu faktor dominan dalam memengaruhi keputusan pembelian sapi pada Tani Lubis. Penelitianini dapat menjadi bahan pertimbangan bagi pengelola untuk merumuskan strategi penetapan hargayang lebih kompetitif agar dapat meningkatkan penjualan dan kepuasan pelanggan. This study aims to analyze the influence of price on purchasing decisions of cattle at Tani LubisFarm. The research employed a quantitative method with a descriptive and verificative approach.Primary data were collected through questionnaires distributed to 98 respondents who arecustomers of Tani Lubis. The instrument testing showed that the questionnaire was valid andreliable with a Cronbach’s Alpha value of 0.872. Data were analyzed using simple linearregression. The results revealed that price has a positive and significant effect on purchasingdecisions. The coefficient of determination (R²) was 46.2%, indicating that purchasing decisionsare explained by the price factor, while the remaining 53.8% is influenced by other factors outsidethis study. The significance test showed a t-value of 8.523, which is greater than the t-table valueof 1.984, with a significance level of 0.000 < 0.05. Thus, price is proven to be one of the dominantfactors influencing cattle purchasing decisions at Tani Lubis Farm. This research is expected toserve as a consideration for farm management in formulating more competitive pricing strategiesto increase sales and customer satisfaction.
The Role of Digital Technologies in Enhancing Efficiency in the Cocoa Supply Chain: A Systematic Review Akbar, Rahmad; Cahyani, Annisa; Priyana, Winda; Rahmat, Hayatul Khairul
Journal of Current Research in Management, Policy, and Social Studies Vol. 1 No. 2 (2024): December
Publisher : Journal of Current Research in Management, Policy, and Social Studies

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Abstract

The global cocoa industry faces increasing pressure to improve efficiency, transparency, and sustainability across its supply chain. Fragmented production networks, dependence on smallholder farmers, post-harvest losses, inconsistent quality, and price volatility remain persistent challenges in major producing countries such as Côte d’Ivoire, Ghana, Indonesia, and Nigeria. Recent advances in digital technologies—including Internet of Things (IoT), blockchain, mobile-based decision support systems, cloud-enabled traceability platforms, artificial intelligence, and geospatial analytics—offer promising avenues to address these systemic inefficiencies. This study presents a systematic literature review of peer-reviewed international journal publications from 2015 to 2024 to examine how digital technologies contribute to improved performance across cocoa supply chain stages, from farm-level production to global marketing. Searches were conducted in Scopus and Web of Science following PRISMA guidelines. A total of 84 high-quality articles met the inclusion criteria for full-text analysis. The review reveals that digital technologies enhance efficiency in four main areas: production optimization, post-harvest quality control, supply chain traceability, and market access. IoT-based monitoring systems improve yield prediction, soil management, and pest detection while reducing input misuse. Blockchain solutions increase transparency, reduce fraud, and support sustainability certification, addressing long-standing concerns about child labor and deforestation. Mobile platforms facilitate farmer training, credit access, and timely price information, reducing transaction asymmetry. Artificial intelligence and big data analytics support strategic planning, climate resilience, and risk forecasting. Despite these advances, barriers such as digital literacy, infrastructural gaps, institutional fragmentation, and cost constraints remain significant. This review concludes that digital transformation is essential for a more inclusive, resilient, and sustainable cocoa supply chain, but its success requires integrated governance, cross-sector collaboration, and enabling policies in producing countries.