Jurnal Agribisnis Wijaya Putra Surabaya AGRIWITAS

COMMUNICATION MODEL OF CITRA KINARAYA PRODUCER COOPERATIVES IN THE ERA OF COVID-19 PANDEMIC

Muslimatun Nafisa — 2025-09-30

The communication model is a simple description of the communication process that involves the relationship between one communication component and another. The objectives of this study are: (1) To analyze the communication model applied by the Citra Kinaraya Producer Cooperative in the era of the Covid-19 pandemic; (2) To analyze the factors that influence the effectiveness of the communication model used by the Citra Kina Raya Producer Cooperative in the era of the Covid-19 pandemic. This research was conducted in April - May 2023, which took place at the Citra Kinaraya Producer Cooperative, Mlatiharjo, Demak. The data collection methods used were interview, observation, and documentation techniques. Data analysis used in this study used multiple linear regression analysis. The results of this study indicate that the communication model applied by the Citra Kinaraya Producer Cooperative in the era of the Covid-19 pandemic is a interactional communication model. Based on multiple linear regression testing, the independent variables consisting of communication media, communicators, information/messages, communicants, age, and education, simultaneously have a significant effect on the effectiveness of the communication model. While partially only the age variable has no effect.

DETERMINATION OF RISKS IN THE RICE SEED BUSINESS PRODUCED BY CV MUGI BERKAH SEJAHTERAH IN GRESIK REGENCY

Ainur Rohmah — 2025-09-30

CV Mugi Berkah Sejahterah was a company engaged in the agricultural sector, specifically in the production of inbred rice seed varieties. This study aimed to analyze the priority risks faced by the rice seed company, identify the root causes related to production, marketing, and financial risks, and provide practical recommendations for risk control within the company. This research applied both quantitative and qualitative approaches, with data analysis techniques using the Analytic Network Process (ANP) method and the fishbone diagram. These two methods complemented each other, where ANP was used to determine risk priorities, while the fishbone diagram was utilized to identify the root causes of those priority risks. The results of this study showed that the main risk faced by CV Mugi Berkah Sejahterah was the uncertainty of capital availability. The root causes of this risk covered several aspects, namely machine (equipment), man (human resources), method (process), material (supply), and environment. To control these risks, several practical recommendations were proposed for the company. In terms of machine (equipment), it was recommended to implement a digital financial management system. Regarding man (human resources), regular financial planning training needed to be conducted. From the method (process) perspective, the company could develop a more effective financing approach. For material (supply), inventory planning should have been based on demand forecasting to better align with market needs. Meanwhile, for the environment aspect, the company needed to build resilience against regulatory changes that could affect business sustainability.

Distribution and Comparative Advantage of Cayenne Pepper (Capsicum frutescens L.) Production in Indonesia: A Location Quotient (LQ) Analysis

Auliak Mega Kusuma Praptiwi — 2025-09-30

Pertumbuhan penduduk Indonesia yang pesat telah mendorong peningkatan konsumsi cabai rawit secara signifikan, yang pada gilirannya memicu permintaan. Konsumsi rumah tangga cabai rawit tercatat meningkat sebesar 8,64% pada tahun 2023, 1,59% pada tahun 2024, dan diproyeksikan meningkat sebesar 3,23% pada tahun 2025. Tren ini berpotensi mempengaruhi produksi dan harga komoditas cabai rawit. Menyikapi hal tersebut, pemerintah melalui Badan Pangan Nasional akan mencanangkan Gerakan Pangan Murah (GPM) pada tahun 2025, dengan fokus pada perluasan distribusi cabai rawit ke daerah-daerah nonsentral. Penelitian ini menggunakan metode deskriptif kuantitatif dan menggunakan analisis Location Quotient (LQ) untuk mengidentifikasi provinsi-provinsi yang memiliki keunggulan komparatif dalam produksi cabai rawit. Data diambil dari 33 provinsi dan 18 provinsi diidentifikasi sebagai produsen komoditas unggulan (nilai LQ ≥ 1), dengan Gorontalo, Papua, dan Aceh menempati posisi teratas. Provinsi-provinsi unggulan tersebut diharapkan dapat berfungsi sebagai sentra produksi utama penopang pasokan nasional dan menjadi titik distribusi strategis dalam pelaksanaan GPM, sehingga pemerintah dapat mengoptimalkan subsidi transportasi dan memperkuat rantai pasokan dari daerah unggulan ke daerah nonunggulan.