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Sikap dan Preferensi Konsumen Terhadap Beras Putih Berlabel Harahap, Syahfitri; Suprehatin
Jurnal Ekonomi Pertanian dan Agribisnis Vol. 9 No. 2 (2025)
Publisher : Department of Agricultural Social Economics, Faculty of Agriculture, Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jepa.2025.009.02.28

Abstract

Keberadaan beras berlabel merupakan strategi pelaku usaha untuk memenuhi preferensi konsumen yang semakin beragam. Selain harga, saat ini konsumen juga memperhatikan faktor lain seperti informasi dan karakteristik fisik produk sebagai pertimbangan penting dalam keputusan pembelian. Penelitian ini bertujuan untuk menganalisis sikap konsumen terhadap atribut produk dan mengidentifikasi atribut yang menjadi preferensi utama konsumen dalam membeli beras putih berlabel. Penelitian ini menggunakan data primer yang diperoleh melalui survei daring terhadap 167 responden di Jabodetabek. Data dianalisis menggunakan analisis deskriptif, multiatribut Fishbein, dan analisis konjoin. Hasil penelitian menunjukkan bahwa konsumen memiliki sikap yang lebih positif terhadap atribut kode produksi dan tanggal kedaluwarsa dibandingkan atribut lainnya dalam pembelian beras berlabel. Hasil penelitian juga menunjukkan bahwa preferensi utama konsumen adalah beras putih berlabel yang memiliki informasi kode produksi dan tanggal kedaluwarsa, rentang harga Rp20.000–Rp40.000, sertifikasi halal, kemasan berukuran 2 kilogram, dan informasi varietas beras. Penelitian ini memberikan wawasan bagi produsen dan pemasar dalam mengembangkan strategi pemasaran beras putih berlabel yang lebih sesuai dengan preferensi dan sikap konsumen  
Segmentasi dan Targeting Petani sebagai Basis Perumusan Kebijakan Pertanian di Indonesia Suprehatin; Harianto, Harianto; Hakim , Rizqi Imaduddin; Akzar, Rida
Policy Brief Pertanian, Kelautan, dan Biosains Tropika Vol. 7 No. 3 (2025): Policy Brief Pertanian, Kelautan, dan Biosains Tropika
Publisher : Direktorat Kajian Strategis dan Reputasi Akademik IPB University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/agro-maritim.0703.1330-1335

Abstract

Seperti di negara lainnya, petani Indonesia sangat heterogen, baik dari sisi aset produksi, akses teknologi, tujuan usahatani, preferensi perilaku, jejaring kelembagaan, maupun pengetahuan dan keterampilan. Namun, kebijakan pertanian di Indonesia masih banyak yang dirancang secara seragam (one size fits all). Akibatnya, banyak program tidak tepat sasaran, kurang dimanfaatkan, atau gagal menciptakan dampak yang diharapkan. Studi empiris di Indonesia menunjukkan adanya hubungan erat antara keputusan adopsi dengan segmen unik petani, misalnya pada konteks tanaman hortikultura bernilai tinggi, teknologi peternakan, dan kemitraan tebu. Temuan ini menegaskan pentingnya menyesuaikan intervensi kebijakan nonharga dengan tipologi dan kebutuhan spesifik petani. Segmentasi, yang mengelompokkan petani berdasarkan karakteristik serupa, menawarkan kerangka untuk merancang kebijakan yang lebih tepat sasaran (targeted). Kerangka ini, lazim digunakan dalam studi konsumen, kini relevan pula bagi kebijakan pertanian. Policy brief ini mengusulkan kebijakan pertanian berbasis segmentasi (tipologi) dan targeting untuk meningkatkan efektivitas, keadilan, dan inklusivitas intervensi.
PEMANFAATAN ARTIFICIAL INTELLIGENCE DALAM MANAJEMEN RANTAI PASOK PRODUK PERTANIAN TINJAUAN LITERATUR SISTEMATIK Maharani, Mutiara Ria Despita; Hifziah, Hilyatul; Muflikh, Yanti Nuraeni; Suprehatin; Rahadiarta, I Komang Pradnyananda S.
Forum Agribisnis Vol. 15 No. 2 (2025): FA Vol `15 No 2 September 2025
Publisher : Magister Science of Agribusiness, Department of Agribusiness, FEM-IPB University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/fagb.15.2.227-242

Abstract

The agricultural product supply chain frequently faces challenges, including fluctuations in demand, climate change, and the perishable nature of products, which can result in inefficiencies and losses. These issues require technology to optimize supply chain performance, one of which is through the use of Artificial Intelligence (AI). This study aims to identify the types of AI commonly used, their applications across various stages of the supply chain, their role in enhancing efficiency, and the challenges associated with their implementation. The method used is a Systematic Literature Review (SLR) based on 21 scientific articles from 2015 to 2025 sourced from the Scopus database. Articles were selected based on criteria including journals and proceedings, open access, and relevance to AI applications in agricultural product supply chains. The research results indicate that machine learning and deep learning are the most widely used types of AI, particularly for crop yield prediction, plant disease detection, product quality classification, and logistics management. AI has been applied across various stages of the supply chain, from cultivation, processing, to distribution. AI has proven to enhance efficiency, real-time monitoring, and decision-making. However, its implementation still faces challenges such as limited quality data, inadequate infrastructure, high implementation costs, and low human resource capacity. Therefore, the utilization of AI in the agricultural product supply chain requires collaboration between the government, academia, industry, and farmers. On the other hand, regulations and policies supporting AI adoption also need further review to ensure this technology can be widely and sustainably implemented.
The Effectiveness Pertamina Pinky Movement Program: Implementation of The Concept of Creation Shared Value (CSV) Rushartami, Meidina Arimbi; Winoto, Joyo; Suprehatin
Indonesian Journal of Business and Entrepreneurship Vol. 10 No. 1 (2024): IJBE, Vol. 10 No. 1, January 2024
Publisher : School of Business, IPB University (SB-IPB)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17358/ijbe.10.1.75

Abstract

Creating Shared Value (CSV) is the company's operational policy by increasing the company's competitive value and simultaneously advancing social and economic conditions for both the company and target recipients of the program. This program aims to shift the use of subsidized LPG to non-subsidized LPG and help MSEs develop their businesses. This study examines the effectiveness of the Pinky Movement Program regarding social and economic values for both companies and program participants. This study uses a survey method by collecting primary and secondary data. Primary data was obtained through questionnaires distributed to 392 program participants who were selected using purposive sampling. In total, 269 respondents completed the questionnaire. Secondary data was obtained from Pertamina, including sales, profits, brand reputation, the number of employees who contributed to the program and its implementation of the training program. Data analysis was performed using a paired sample t-test to compare the conditions before and when the The Pinky Movement Program was implemented. The study results show that the Pinky Movement program effectively created social and economic value from the perspective of program participants. However, from the Company's perspective, this program has not proven effective because there have been no positive changes in economic and social values before and during the program's implementation. The managerial implications that companies can carry out are continuing to run the Pinky Movement program as a social investment capable of providing positive results for the company, target recipients, and affected stakeholders, respectively. Keywords: creating shared value, economic value, micro small enterprises, non-subsidized LPG, social value
Kelayakan Bisnis Peningkatan Produksi Lalat Black Soldier Fly Pada PT Biomagg Indonesia Rizano, Desvand Theola Da; Rifin, Amzul; Suprehatin
Jurnal Aplikasi Bisnis dan Manajemen Vol. 8 No. 1 (2022): JABM Vol. 8 No. 1, Januari 2022
Publisher : School of Business, Bogor Agricultural University (SB-IPB)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17358/jabm.8.1.293

Abstract

The business development of BSF insect have problems especially in maggot production. The purpose of this study is analyze the feasibility of best alternatives business strategy to increasing production of black soldier fly. This research was conducted in December 2019-February 2020. The type of data used is primary data of financial and non-financial aspects. Data collected by quantitative method through interviews with Mr. Aminudi as CEO of Biomagg Indonesia Ltd and Prof.Dewi Astuti as an expert of BSF flies. The business feasibility analysis in this study includes aspects of financial visibility (NPV, IRR, profitability index and payback period) and non-financial aspects (legal, technic and operating aspects, management, socioeconomic and nature). The analysis shows that all scenario was worth from non-financial and financial feasibility aspects The problem of deficiencies in supply of organic waste can be solved by running scenario two which Biomagg Indonesia Ltd buy organic waste from traditional market and Islamic school. the financial feasibility of third scenario was worthy to run because it has the best NPV , IRR , profitability index and payback period . the logistic problem can be resolved by running the first scenario to move cages close to the source of organic waste was in urban areas. Biomagg Indonesia Ltd in first scenario made cooperation with Institute of Research and Development Ornamental Fish Culture to built the cage. Biomagg Indonesia Ltd does not need cost to built it. Keywords: business feasibility analysis, black soldier fly, food waste, maggot
Strategi Pencegahan Korupsi Untuk Menurunkan Tingkat Korupsi Daerah : Corruption Prevention Strategies For Reducing Regional Corruption Levels Dwi Aprillia Linda Astuti; Winoto, Joyo; Suprehatin
Jurnal Aplikasi Bisnis dan Manajemen Vol. 10 No. 1 (2024): JABM, Vol. 10 No. 1, Januari 2024
Publisher : School of Business, Bogor Agricultural University (SB-IPB)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17358/jabm.10.1.251

Abstract

Corruption is one of the inhibiting factors in the business world in Indonesia. Efforts to eradicate corruption are carried out through education, prevention and prosecution strategies or known as the TRISULA strategy. One of the corruption prevention efforts carried out by the KPK is through the Monitoring Center for Prevention (MCP) with eight areas. This study aims to analyze the influencing factors and the best strategic priorities in preventing regional corruption. This study uses primary data. Primary data was obtained through a survey with purposive sampling in 22 local governments. Data were analyzed using internal-external analysis, SWOT, and Quantitative Strategic Planning Matrix (QSPM). The results of the strategy analysis show that the main strength factor is the commitment of the regional head and regional apparatus, the main weakness factor is the weak of intern monitoring. While the main opportunity factor is the role of the Corruption Eradication Commission in supporting local government corruption prevention efforts, while the main threat factor is the country's economy (fiscal conditions). The regional corruption prevention system is in quadrant V (hold and maintain). Sharpening MCP indicators is a strategic priority to prevent corruption in the regions. Keywords: monitoring center for prevention, corruption prevention strategy, regional corruption, QSPM, KPK
Effect of Import Policy on Beef Supply and Demand in Indonesia before and after the COVID-19 Pandemic Kusumaningrum, R.; Darjanto, A.; Nurmalina, R.; Mulatsih, S.; Suprehatin
Tropical Animal Science Journal Vol. 47 No. 2 (2024): Tropical Animal Science Journal
Publisher : Faculty of Animal Science, IPB University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5398/tasj.2024.47.2.242

Abstract

Beef production in Indonesia has experienced a decline after the COVID-19 pandemic, leading to an expanding gap between the supply and demand of beef. This widening gap has resulted in an increased reliance on beef imports, which in turn impacts domestic food stability. This study examines the impact of import policies on the supply and demand of beef both before and after the COVID-19 pandemic. Utilizing secondary data related to beef production, consumption, and prices, officially released by relevant ministries or institutions, the analysis was conducted using an econometric model with a simultaneous system equation. The results show that implementing a policy to decrease beef imports while concurrently increasing imports of feeder after the pandemic can enhance beef production by 25%, surpassing levels observed before the COVID-19 pandemic. Such a policy will lead to a decrease in the national beef supply, although demand will remain unchanged during both periods. By using a simultaneous equation system approach that links the dimensions of beef production and consumption, this study offers comprehensive insights for policymakers in designing policies and programs to increase Indonesia’s beef production.
NIAT PEMBELIAN KONSUMEN TERHADAP BUAH-BUAHAN SUBOPTIMAL DI SUPERMARKET KOTA BOGOR Sirait, Sarah Febrianti; Suprehatin; Purwono, Joko
Jurnal Agribisnis Indonesia Vol. 13 No. 2 (2025): Desember 2025 (Jurnal Agribisnis Indonesia)
Publisher : Departmen of Agribusiness, Economics and Management Faculty, Bogor Agricultural University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jai.2025.13.2.452-463

Abstract

Consumer preference for quality fruit products, including perfect physical appearance attributes, has led supermarkets to set and sell fruit with certain quality standards, such as size, color, and ripeness. Currently, some supermarkets sell fruit with physical imperfections, known as suboptimal fruit, along with increasing attention to food waste, especially that resulting from the disposal of less-than-perfect products. This study aims to analyze the factors that influence consumer’s purchase intention on suboptimal fruit in supermarkets. This study uses primary data from 200 respondents who live close to six supermarkets in Bogor City that sell suboptimal fruit. Respondents were selected using voluntary sampling method. This study used the extended Theory of Planned Behavior (TPB) approach and the data were analyzed using structural equation modeling partial least square. The results showed that both TPB variables, namely attitudes, subjective norms and behavioral control and variables added to the model, namely environmental concerns, price discount promotions, and non-price promotions, had a significant effect on the purchase intention of suboptimal fruit in supermarkets. This research provides insight for supermarkets to increase purchase intention of suboptimal fruit through marketing strategies that focus on information, ease of access, product management and display arrangement, and consumer education.