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All Journal Jurnal Ilmu Pertanian Indonesia Suluh Pembangunan: Journal of Extension and Development Jurnal Penelitian Pertanian Terapan
Nur'aini, Lestari Gita
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Agriculture, Biological Sciences & Forestry Social Sciences

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Analisis Komparatif Pendapatan Pengolah Ikan Teri Asin di Pulau Pasaran Kota Bandar Lampung Saleh, Yuliana; Riantini, Maya; Nur'aini, Lestari Gita
Suluh Pembangunan : Journal of Extension and Development Vol 4 No 03 (2022): Suluh Pembangunan : Journal of Extension and Development
Publisher : Fakultas Pertanian, Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jsp.Vol4.No3.2022.128

Abstract

Pulau Pasaran dikenal memiliki ikan teri asin dengan kualitas yang bagus. Perbedaaan pendapatan pengolah ikan teri asin di Pulau Pasaran mungkin saja terjadi, karena perubahan hasil tangkap nelayan ikan teri akibat perubahan musim angin. Penelitian ini bertujuan untuk menganalisis perbedaan pendapatan usaha pengolah ikan teri asin di Pulau Pasaran Kota Bandar Lampung saat musim angin barat dan musim angin timur. Pengumpulan data dilakukan pada bulan November hingga Desember 2021. Penelitian ini menggunakan metode survei. Pemilihan lokasi penelitian dilakukan secara sengaja (purposive). Penelitian ini menggunakan metode analisis pendapatan dengan membandingkan pendapatan pada musim angin barat dan musim angin timur. Hasil penelitian ini menunjukkan bahwa usaha pengolahan ikan teri asin di Pulau Pasaran Kota Bandar Lampung menguntungkan. Pendapatan pengolah ikan teri asin pada musim angin barat sebesar Rp14.236.308,30 per bulan dan pendapatan pada musim angin timur sebesar Rp28.353.351,96 per bulan. Kata kunci: Ikan teri asin, musim angin, pendapatan
Kinerja Rantai Pasok Industri Kopi Bubuk di Kecamatan Kemiling Kota Bandar Lampung Riantini, Maya; Affandi, Muhammad Irfan; Nur’aini, Lestari Gita; Kusnandi, Savira Adelia
Jurnal Penelitian Pertanian Terapan Vol 23 No 4 (2023)
Publisher : Politeknik Negeri Lampung.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25181/jppt.v23i4.2930

Abstract

This study aims to analyze supply chain flow patterns and supply chain performance of ground coffee agro-industry in Kemiling District, Bandar Lampung City. The census method was used in this study, by taking all five ground coffee agroindustry in the Kemiling District, Bandar Lampung City. Respondents in this study were agro-industry owners, coffee farmers, collectors, wholesalers, retailers, and ground coffee consumers. The sampling technique for supply chain respondents uses the snowball sampling method. Research data collection was carried out from January to February 2022. The data analysis used was descriptive qualitative and quantitative methods. The results showed that overall, product flow, money flow, and information flow that occurred in the supply chain were running well. Several performance indicators for the supply chain of farmers are below the parity value, while the performance of the supply chain traders and agro-industry are all at the superior and advantage criteria.
Transformation of the Agricultural Sector in Sulawesi Island: A Panel Data Approach Nur'aini, Lestari Gita; Endaryanto, Teguh; Affandi, Muhammad Irfan
Jurnal Ilmu Pertanian Indonesia Vol. 30 No. 4 (2025): Jurnal Ilmu Pertanian Indonesia
Publisher : Institut Pertanian Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18343/jipi.30.4.773

Abstract

Technological revolutions, globalization, and complicated market dynamics have expedited the transformation of economic structures. This process is further influenced by the diversity of natural resources among regions, which drives economic development. In today's world, understanding economic change is critical for promoting long-term economic growth. The purpose of this study was to examine structural changes in the agriculture sector and its subsectors on Sulawesi Island, as well as the variables that affect them. The analytical approaches used include descriptive analysis of panel data processed with Microsoft Excel and panel data regression. The findings demonstrate that between 2010 and 2022, Sulawesi's agriculture industry lost 6.24% of its GDP contribution, as did all its subsectors. This decrease was complemented by a rise in the industrial sector's contribution of 5.43%. In the regression analysis, the fixed effect model (FEM) proved to be the best fit. Population density (X1) and the Indonesian democracy index (IDI) (X3) had a positive and significant influence on economic transformation, whereas farmers' terms of trade (FTT) (X4) and the number of people living in poverty (X5) had a negative and significant impact on Sulawesi's agricultural economy transformation. It is suggested that agribusiness operators vary processed products based on agricultural raw materials to aid and balance economic transition. Keywords: economic transformation, fixed effect model, panel data regression, sectoral GDP contribution, structural shift
Co-Authors Kusnandi, Savira Adelia Maya Riantini, Maya Muhamad Irfan Affandi Saleh, Yuliana Teguh Endaryanto