p-Index From 2021 - 2026
5.653
P-Index
This Author published in this journals
All Journal Jurnal Manajemen dan Agribisnis Sosiohumaniora Jurnal Sosial Ekonomi Pertanian AGRIEKONOMIKA Jurnal Agribisnis Indonesia (Journal of Indonesian Agribusiness) Media Trend: Berkala Kajian Ekonomi dan Studi Pembangunan Jurnal Pamator : Jurnal Ilmiah Universitas Trunojoyo Madura Buletin Penelitian Sosek AGRARIS: Journal of Agribusiness and Rural Development Research ASIAN JOURNAL FOR POVERTY STUDIES (AJPS) AGRISAINTIFIKA Jurnal Ilmu-ilmu Pertanian AKSIOLOGIYA : Jurnal Pengabdian Kepada Masyarakat Jurnal SEPA (Social Economic and Agribusiness Journal) Agrisocionomics: Jurnal Sosial Ekonomi Pertanian AGROMIX Jurnal Maksipreneur: Manajemen, Koperasi, dan Entrepreneurship PengabdianMu: Jurnal Ilmiah Pengabdian kepada Masyarakat JURNAL PANGAN Jurnal Litbang Sukowati : Media Penelitian dan Pengembangan Jurnal Karinov PRIMA: Journal of Community Empowering and Services SPEKTA (Jurnal Pengabdian Kepada Masyarakat : Teknologi dan Aplikasi) Jurnal Dinamika Sosial Ekonomi MAHATANI: Jurnal Agribisnis (Agribusiness and Agricultural Economics Journal) Agroteksos Jurnal Ilmiah Management Agribisnis (Jimanggis) Journal of the Community Development in Asia Journal of International Conference Proceedings Prosiding Seminar Nasional Mini Riset Mahasiswa Proceeding of International Conference Health, Science And Technology (ICOHETECH) Jurnal Pengabdian Pada Masyarakat EcoProfit : Sustainable and Environtment Business AGRIC ENVIRO: Journal of Tropical Environmental Research Agricultural Socio-Economic Empowerment and Agribusiness Journal Jurnal Kawistara
Claim Missing Document
Check
Articles

Aplikasi Mesin Pencuci dan Rotary Dryer untuk Peningkatan Nilai Tambah Produk Empon-Empon di Desa Bandar, Kecamatan Bandar, Pacitan Fea Prihapsara; Okid Parama Astirin; Endang Siti Rahayu; Anif Nur Artanti
Jurnal Pengabdian Pada Masyarakat Vol 7 No 3 (2022): Jurnal Pengabdian Pada Masyarakat
Publisher : Universitas Mathla'ul Anwar Banten

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (598.527 KB) | DOI: 10.30653/002.202273.302

Abstract

APLICATION OF WASHING MACHINE AND ROTARY DRYER FOR INCREASING ADDED VALUE VALUE OF EMPON-EMPON IN BANDAR VILLAGE, BANDAR DISTRICT, PACITAN. Bandar Village is located in Bandar District, Pacitan Regency. The economy of the people in Bandar Village is supported by traditional medicinal plants, especially empon-empon as the main commodity. Most of the farmers in Bandar Village are small farmers who depend on selling their crops to middlemen. The middlemen argue that prices at the farm level are low because the empon-empon is still dirty. The aim of this project is to carry out post-harvest processing activities by applying of washing machine and rotary dryer to increase the added value of the empon-empon products. Washing machine can clean it from dirt while rotary dryer can reduce the water content thereby increasing the yield of the active ingredients of empon-empon. Currently, both machines can function properly. This transfer of technology is very helpful for farmers in processing their harvested products on a large scale and they can sell them at higher prices. Kelompok Tani Suroloyo I as a partner actively participated in this project from post-harvest processing to marketing. This project is carried out on an ongoing basis in collaboration between Pusat Penelitian Lingkungan Hidup Universitas Sebelas Maret Team (PPLH UNS) and Kelompok Tani Suroloyo I.
Analisis kinerja desa wisata berbasis pertanian pada berbagai kategori desa wisata di Kabupaten Bantul Sugiharti Mulya Handayani; Endang Siti Rahayu; Heru Irianto; Mei Tri Sundari; Setyowati; Fanny Widadie

Publisher : Fakultas Pertanian Universitas Yudharta Pasuruan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35891/agx.v14i1.3225

Abstract

????????????????????????????????????????????????: ???????????????? ???????????????????? ???????????????? ???????? ???????????????????????????? ???????????? ???????????????????????????????????????????? ???????? ????????????????????????????????????????????????-???????????????????? ???????????????????????????? ???????????????????????????????? ???????? ???????????????????????????? ???????????????????????????????????????? ???????? ???????????????????????????? ???????????????????????????????? ???????? ???????????? ???????????????????????? ????????????????????????????. ???????????? ???????????????????????????????????????????? ???????? ???????????? ???????????????????????????? ???????????????????????????? ???????????? ???????? ???????????????? ???????????????? ???????????? ???????????????????????????????????????? ???????????????????????????????????????????? ???????? ???????????????????????????????????????????????? ???????????????????????????????????????? ???????????????????????????????????????? ???????? ???????????? ???????????????????????????????????????? ???????? ???????????? ???????????????????????????? ????????????????????????????. ????????????????????????: ???????????? ???????????????????????????????? ???????????? ???????????????????????????????????? ???????? ???????????????????? ???????????????????? ???????????????????????????? ???????????????????????????? (???????????????????????????????????? ???????????????????????????????? ???????????????????????????? ????????????????????????????) ???????????? ???????????????????? ???????????????????????????? ???????????????????????????? (???????????????????????????????????????? ???????????????????????????????? ???????????????????????????? ????????????????????????????), ???????????????????????????????? ????????????????????????????????????????????. ???????????????? ???????????????????????????? ???????????????????????????? ???????????? ???????????????????????????????? ???????????????? 30 ???????????????????????????????????????????? ???????????? ???????????? ???????????????????????????????? ???????????????????????????????? ???????? ???????????????????????????? ???????????????????????????? ????????????????????????????????????????. ???????? ???????????????????????????? ???????????? ???????????????????????????????????????? ???????????????????????????????????????????? ???????? ???????????? ???????????????????????????????????????? ???????? ???????????????????????????? ????????????????????????????????, ???????? ???????????? (???????????????????????????????????????? ???????????????????????????????????????????? ????????????????????????????????) ???????????????????????????????? ???????????????? ???????????? ????????????????. ???????????????????????????????????????? ???????? ???????????????????????????????????????? ???????????????????????????????????????? ???????????? ???????????????????????????? ???????????????? ???????????????????????????????????????? ???????????????????????????????????? (????????????????????????????????, ????????????????????????????????????????, ????????????????????????????????, ????????????????????????????????????, ???????????? ????????????????????????????????????????????) ???????????????????? ???????????? ???????????????????????????????? ???????? ???? ???????????????????????? ????????????????????. ???????????? ???????????????????????????????? ???????????????????????????? ???????????? ???????????????????????? ???????? ???????????? ???????????????????????????????? ???????????? ???????????????????? ???????????? ???????????????????????????? ???????? ???????????????????????????????????? ???????????????????? ???????????????????????????????????????? ???????????????????????????????????? ???????????????? ???????????????? ???????????????????????????????????????????? ???????????????? ???????????? ???????????????????? ???????????????????? ???????????????? ????????????????????????????????????????????. ????????????????????????: ???????????? ???????????????????????????? ???????????????????????? ???????????????? ???????????? ???????????????????????????????????????????? ???????? ???????????? ???????????? ???????????????????????????? ???????????????????????????????? ???????? ???????????????????? ???????????? ???????????? ???????????? ???????? ????????????????????????????????, ???????? ???????? ???????????????????? ???????? ???????? ????????????????????????????????. ???????????????????? ???????? ???????????? ???????????? ???????????????????????????? ???????? ???????????????????????????????? ???????????? ????????????????????, ???????? ???????????? ???????? ???????????????? ???????????????? ???????????????????? ???????????? ???????????????????????????? ???????????????????????? ???????????????? ???????????????? ???????? ???????????????????????????????? ???????? ???????????????? ???????????????? ???????? ????????????????????????????????????????. ???????????? ???????????? ???????????? ???????????????????????????? ????????????????????????????????, ???????????????? ???????????????????? ???????????????????? ???????? ???????? ???????????????????????????????? ???????? ???????????? ???????????????????????????????????????? ???????? ???????????????????????????????? ???????????????????????????????????????????????? ???????? ???????????? ???????????? ???????? ???????????? ???????????????????? ????????????????????????????. ???????????????? ???????????????? ???????? ???????????????????????????????????????? ???????? ???????? ???????????????????????? ???????????????? ???????????? ???????????????????????????? ????????????????????????????????????????????, ???????????????????????????? ???????????????????????????????????? ???????? ???????????????????????????? ???????????? ???????????????????????????? ????????????????????????????????????????. ????????????????????????????????????, ???????????????? ???????????????? ???????????? ???????????????? ???????????????????????????? ???????????????????????????????????? ???????????????????????????? ???????? ???????????? ???????????????? ???????????????????? ???????????????? ???????? ???????????? ???????????????????????????????????????????????????? ???????? ???????????????????? ???????????????????????????? ???????????? ???????????????????????????????????????????????? ???????????????????????????? ???????????????????????????????? ????????????????????????????????????. ????????????????????????????????????????: ???????????? ???????????????????????????? ???????????????????????? ???????????????? ???????????? ???????????????????????????????????????????? ???????? ???????????? ???????????? ???????????????????????????? ???????????????????????????????? ???????????? ???????????????????? ????????????. ???????????? ???????????????????????????????????????????? ???????? ???????????? ???????????????????? ???????????????????? ???????????????????????????? ???????????????????????????? ???????? ???????????????????? ???????????????? ???????????? ???????????????????????????????????????????? ???????? ???????????? ???????????????????? ???????????????????????????? ????????????????????????????. ???????????????? ???????????????????????????? ???????????????????? ???????????????? ???????????? ???????????????????????????????????????????? ???????? ???????????? ???????????????????????????? ???????????????????????????? ???????? ???????????? ???????????????????????? ???????????????? ???????????? ???????????????????????????? ???????????????????????????? ????????????????????????????????.
Risiko Usahatani Tembakau di Daerah Hilir Bengawan Solo Kabupaten Bojonegoro Alfian Bayu Pamungkas; Endang Siti Rahayu; Ernoiz Antriyandarti
Jurnal Dinamika Sosial Ekonomi Vol 24, No 1 (2023): Jurnal Dinamika Sosial Ekonomi
Publisher : Agribusiness Department, Faculty of Agriculture, UPN "Veteran" Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/jdse.v24i1.9354

Abstract

Tembakau merupakan tanaman perkebunan yang berpotensi dalam membantu pertumbuhan ekonomi di Indonesia. Salah satu daerah yang menjadi penghasil tembakau berada di Kabupaten Bojonegoro yang merupakan salah satu daerah di hilir sungai Bengawan solo yang rentan terhadap banjir. Hal tersebut menjadi faktor penyebab adanya risiko usahatani tembakau di Kabupaten Bojonegoro. Tujuan penelitian adalah untuk mengetahui tingkat biaya dan pendapatan usahatani tembakau, tingkat risiko produksi, harga, dan pendapatan usahatani tembakau, serta upaya penanggulangan risiko usahatani tembakau di daerah hilir Bengawan Solo Kabupaten Bojonegoro. Metode penelitian yang digunakan adalah deskriptif dan analitis. Lokasi penelitian ditentukan secara purposive. Pengambilan sampel dilakukan secara random dengan 100 petani. Data pada penelitian ini meliputi data primer dan sekunder. Pengumpulan data dilakukan dengan metode observasi, wawancara, dan pencatatan. Tingkat risiko usahatani dianalisis dengan rumus koefisien variasi (CV). Hasil penelitian menunjukkan biaya usahatani tembakau dalam satu musim tanam sebesar Rp12.565.350/usahatani dan Rp 24.210.694/ha. Rata-rata pendapatan petani tembakau sebesar Rp7.666.943/usahatani dan Rp14.772.529/ha. Nilai CV risiko produksi dan pendapatan per usahatani sebesar 0,42 dan 0,47 artinya bahwa petani tembakau menanggung risiko yang rendah. Nilai CV risiko produksi dan pendapatan/ha sebesar 0,53 dan 0,54 artinya petani tembakau menanggung risiko yang tinggi. Nilai CV risiko harga sebesar 0,02. Upaya penanggulangan risiko meliputi menentukan waktu tanam yang tepat, memberikan fungisida pada tanaman tembakau, melakukan penyemprotan pestisida daun tembakau. menghindari penggunaan pupuk urea yang berlebih, memperhatikan lama waktu penyimpanan daun, dan menggunakan tenaga kerja dalam keluarga. Saran yang dapat diberikan adalah petani tembakau diharapkan untuk memperhatikan alokasi penggunaan input, memperhatikan waktu penyimpanan, dan mengurangi biaya yang dikeluarkan terutama biaya tenaga kerja.
Poverty Analysis of Cassava Farmers in Wonogiri Regency, Indonesia Arbianti Arbianti; Endang Siti Rahayu; Joko Sutrisno
Sosiohumaniora Vol 25, No 2 (2023): Sosiohumaniora: Jurnal Ilmu-Ilmu Sosial dan Humaniora, JULY 2023
Publisher : Universitas Padjadjaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24198/sosiohumaniora.v25i2.40314

Abstract

Poverty is a central issue in development programs in Indonesia. Most people still depend on agriculture for their livelihoods with relatively low productivity and business income, so poverty are common in rural areas. Most of the Wonogiri residents work in agriculture, where one of the superior products is cassava, the largest producer in Central Java. Poverty reduction in agriculture is a critical factor in reducing poverty in Indonesia. This study examined the poverty status and determinants affecting the poverty status of cassava farmers in Wonogiri Regency, Indonesia. Purposive sampling techniques were used in 120 cassava farmers in Wonogiri Regency. Primary data were obtained with the aid of well-structured questionnaires and interviews. The data were analyzed using Foster-Greer Thorbecke (FGT) index and logistic regression (logit). The result of Foster Greer-Thorbecke's (FGT) analysis showed that headcount index (P0) was 0,3417, poverty gap index (P1) was 0,2092, poverty severity index (P2) was 0,1280. The logistic regression (logit) showed that determinants of the poverty status of cassava farmers were education, land area, household size, and farming experience. There needs to be an increase in education, land area, farming experience, and reduce the number of family dependents with family planning government programs.
ANALISIS POLA KONSUMSI RUMAH TANGGA PETANI JAGUNG DI KABUPATEN GROBOGAN Fajar Prasetyoningrum; Endang Siti Rahayu; Sri Marwanti
Agric Vol. 28 No. 1 (2016)
Publisher : Fakultas Pertanian dan Bisnis, Universitas Kristen Satya Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24246/agric.2016.v28.i1.p41-54

Abstract

ABSTRACTThis study aims to analyze the broad influence corn field to the household income of corn farmers in Grobogan district, analyze the effect of educational level the head of family to the household income of corn farmers in Grobogan district, analyze the effect of the number of family members to the household income of corn farmers in Grobogan district, analyze the effect the food and non food expenditure to the household income of corn farmers in Grobogan district. Locations were taken intentionally, in Grobogan district, because Grobogan district has the widest corn harvested area in the province of Central Java. Total population that taken in this study is 150 household of corn farmers who scattered in several regions in Grobogan. The sample is a fraction of the number and characteristics which is owned by the population. Samples were corn farmers, the number of samples taken is 60 corn farmers in Grobogan. The results showed that land area of corn gave positive effect on household income of corn farmers in Grobogan, the educational level of husband’s household insignificant, the number of household members has a positive influence on the level of household income, food expenditure had a negative but not significant to household income and non-food expenditures have a significant negative effect on the level of household income. The result of the calculation of the proportion of food consumption and the proportion of non-food consumption showed that the average total expenditure for average food expenditure per farmer per month amounted Rp. 1.023.611,00 while the non-food expenditure amounted Rp. 2.619.552,00.
ANALISIS KEBERLANJUTAN USAHATANI UBI KAYU (MANIHOT UTILISSIMA) SECARA MULTIDIMENSI DAN PARSIAL DI KABUPATEN WONOGIRI Febriani Puspitaningrum; Endang Siti Rahayu; Erlyna Wida Riptanti
Jurnal Dinamika Sosial Ekonomi Vol 25, No 1 (2024): Jurnal Dinamika Sosial Ekonomi
Publisher : Agribusiness Department, Faculty of Agriculture, UPN "Veteran" Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/jdse.v25i1.12048

Abstract

Cassava is a tuberous food commodity that has the potential to encourage the development of the country's economy. Wonogiri Regency is the region with the largest cassava production level in Central Java Province, but productivity and harvest area fluctuate and even tend to decline. This decline in productivity can disrupt the availability of cassava and lead to the unsustainability of cassava farming in Wonogiri Regency. Therefore, research on the sustainability of cassava farming in Wonogiri Regency needs to be conducted. The research was conducted in Ngadirojo, Tirtomoyo, and Pracimantoro sub-districts by taking a sample of 70 farmers. The method used in this study was Multidimensional Scaling (MDS). The results of the analysis show that multidimensionally cassava farming in Wonogiri Regency is less sustainable. Partially, the ecological, economic and technological dimensions are less sustainable, while the social dimension has a fairly sustainable status. Further analysis was conducted to determine the sensitive attributes that affect the sustainability status of each dimension. The most sensitive attribute in the ecological dimension is the availability of water during the planting period, the economic dimension is marketed crop yields, the technological dimension is the use of seeds from previous harvests, and the social dimension is conflict in farming.
Factors Affecting the Technical Efficiency of Cassava Farming in Wonogiri Regency Fitria Cahyaningsih, Anggi; Rahayu, Endang Siti; Kusnandar
Jurnal Manajemen & Agribisnis Vol. 19 No. 3 (2022): JMA Vol. 19 No. 3, November 2022
Publisher : School of Business, Bogor Agricultural University (SB-IPB)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17358/jma.19.3.331

Abstract

Cassava is a potential commodity to develop because it is used for consumption and industrial raw materials. Wonogiri Regency has the highest harvest and production area in Central Java. Such a high production level is not comparable to a low level of productivity. The productivity of cassava in Wonogiri Regency is only 18.99 tons per hectare lower than the national productivity, which is 25.95 tons per hectare. Therefore, it is necessary to use inputs as an efficient resource to increase productivity. This study analyzed the technical efficiency and factors affecting the efficiency of cassava. Primary data from 75 cassava farmers in Wonogiri Regency. Data Envelopment Analysis (DEA) and regression Tobit were the data analysis methods. DEA results showed efficiency scores ranging from 0.107 to 1.28% of cassava farmers in Wonogiri were technically efficient in carrying variable return to scale, with an average score of 0.580. Cassava farmers in Wonogiri Regency should increase the efficiency value by reducing slack inputs, namely cassava seeds, phonska fertilizer, and urea fertilizer. Tobit regression results show that farmer education and group membership significantly affect the efficiency of cassava. Farmers with higher education have better skills to adopt new technologies and use inputs more efficiently. The farmer group has a positive influence because it can provide information and discussion to overcome the problem of cassava farming. Keywords: cassava farming, DEA, efficiency, productivity, tobit regression
The Analysis of Trading Systems and Disparity of Shallot’s Price in Central Java Province Asy-syahid, Yusuf Syauqi; Rahayu, Endang Siti; Handayani, Sugiharti Mulya
Jurnal Manajemen & Agribisnis Vol. 20 No. 3 (2023): JMA Vol. 20 No. 3, November 2023
Publisher : School of Business, Bogor Agricultural University (SB-IPB)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17358/jma.20.3.367

Abstract

The purpose of this research is to analyze the distribution channel patterns of shallots in Central Java, analyze the efficiency, price spread and share margin in the trading channels and disparities of shallots in Central Java, to determine the effect of prices at the consumer level, the amount of consumption, and the amount of shallot production in the short term and long term against price disparity figures. The data analysis method uses ECM (Error Correlation Model). The results of the analysis show that the red onion commodity trading channel pattern in Central Java has 5 different trading system channels. The shortest shallot commodity trade system channel is on channels III and V, while the longest shallot trade system channel is on channels I and IV. The calculation of marketing margins in Central Java is Rp. 18,800 with a trading system efficiency of 1.16, which means that the marketing is efficient, but the value of the farmer's share of shallot farmers in Central Java Province has a value of 56.16 percent, which means that the value is not efficient. The results of the ECM analysis show that the amount of shallot consumption in Central Java Province in the short and long term has a negative and significant effect on the price disparity of shallots at the farmer level in Central Java Province and is in accordance with the theory and hypothesis. Keywords: shallots, trade system, disparity, efficiency, error correlation model
Analisis Efisiensi Pemasaran Bunga Kol (Brassica oleracea var. botrytis L.) Di Pasar Tradisional Kabupaten Boyolali Adib, Asnan; Rahayu, Endang Siti; Fajarningsih, Rhina Uchyani
Prosiding Seminar Nasional Mini Riset Mahasiswa Vol 3, No 1 (2024)
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Indonesia merupakan negara agraris karena memiliki lahan pertanian yang cukup luas, yaitu mencapai 7.463.948 Ha (BPS 2020) dan sebagian besar penduduknya bekerja di sektor pertanian. Seiring berkembangnya kebutuhan konsumsi hasil pertanian, salah satu komoditas yang banyak dibudidayakan petani Indonesia adalah sayuran. Namun demikian terdapat beberapa sayuran yang harganya terbilang cukup tinggi ketika sampai ke konsumen seperti halnya bunga kol (Brassica oleracea var. botrytis L.), yang dapat mencapai harga Rp. 30,000 / kg di pasar tradisional. Tujuan dari penelitian ini adalah menganalisis efisiensi saluran pemasaran yang dilakukan oleh setiap pelaku pemasaran bunga kol di Pasar Tradisional Kabupaten Boyolali dengan menggunakan margin tataniaga, farmer share, dan rasio keuntungan. Penelitian ini dilakukan pada pelaku saluran tataniaga yang ada di Pasar Tradisional Kabupaten Boyolali. Jumlah responden dalam penelitian sebanyak 30 responden petani dan 15 responden pedagang besar dan 20 responden pedagang pengecer. Analisis data menggunakan metode purposive untuk pedagang besar dan snowball sampling dari pedagang pengecer hingga petani. Adapun hasil penelitian ini terdapat tiga saluran tataniaga bunga kol di Pasar Tradisional Kabupaten Boyolali dengan tingkat efisiensi tataniaga bunga kol yang dinilai paling efisien adalah saluran II yaitu pada saluran pedagang besar memiliki hasil margin sebesar Rp. 2,500 dan efisiensi sebesar 1,107. Dengan demikian perlu dilakukan analisis lebih terkait pengembangan strategi pemasaran komoditas bunga kol di Pasar Tradisional Kabupaten Boyolali terkait kegiatan dan saluran tataniaga.
Corn Supply Chain in Central Java Province: Marketing Channel Efficiency and Chain Institutional Performance Approach Zuhri, Nur Muttaqien; Rahayu, Endang Siti; Kusnandar, Kusnandar; Harisudin, Mohamad
Journal of International Conference Proceedings Vol 6, No 1 (2023): 2023 ICPM Malang Proceeding
Publisher : AIBPM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32535/jicp.v6i1.2236

Abstract

Increasing corn production requires a supply chain to channel production from farmers to consumers. The supply chain of corn as a raw material for animal feed in Central Java Province is not yet well managed, because each farmer or business is still carried out individually. The aim of the study was to analyze the supply chain picture based on the Food Supply Chain Network and the efficiency of the corn agribusiness supply chain in Central Java. Sampling techniques from farmers using proportional random sampling and snowball sampling methods will lead researchers to the next informant or to related institutions to the final consumer. Data analysis uses the FSCN, Marketing Margin, Farmer's Share and DEA methods. There are 5 corn agribusiness marketing channels in Central Java Province. Marketing margin and farmer's share with Farmer-Cooperative-Consumer chain being the most efficient. Farmer-Village Trader-SubDistrict Trader-District Trader-Consumer marketing channel being the least efficient. Technical efficiency at the farmer level was 2%, at the village trader level 40%, at the subdistrict and district trader levels 37.5%, at the cooperative level 66.67%, at the animal feed company level 40% and at the poultry farmer level 25%.
Co-Authors Adib Norma Respati Adib, Asnan Adinda Vinka Ayu Hapsari Agustono Agustono, Agustono Akhmad, Khabib Alia Alfian Bayu Pamungkas Ananda Budi Lestari Anif Nur Artanti, Anif Nur APURWANTI, ESTHI DWI Arbianti Arda Govar Parsaoran Rajagukguk Ardina Nur Halimah Arini, Dien Rusda Asri Laksmi Riani Asy-syahid, Yusuf Syauqi Ayu Intan Sari Cahyaningsih, Anggi Fitria Candra Purnawan Candra Purnawan Dennanda Elpharani Dewi Handayani Dwi Yuniarti Dwidjono Hadi Darwanto Endang Tri Rahayu Erlangga, Aditya Pramudya Erlyna Wida Riptanti Erlyna Wida Riptanti Ernoiz Antriyandarti Ernoiz Antriyandarti Esti Suryani Esti Suryani Eva Koesuma Moervitasari Fahlevi, Andrew Fajar Prasetyoningrum Fanny Widadie Fanny Widadie Febriani Puspitaningrum Fitria Cahyaningsih, Anggi Hanifah Putrirahmah Ningrum Harisudin, Mohamad Heru Irianto Heru Irianto Heru Irianto Heru Irianto Heru Irianto Heru Irianto Heru Irianto Isti Khomah Joko Sutrisno Joko Sutrisno Khairrunnisa, Jihan Komariyati Komariyati Komariyati Komariyati Kusnandar KUSNANDAR kusnandar kusnandar Libria Widiastuti Libria Widiastuti Mahendra Wijaya Mei Tri Sundari Mei Tri Sundari Mei Tri Sundari Mei Tri Sundari Mei Tri Sundari Mei Tri Sundari Mohamad Harisudin Muhammad 'Irfan Murtadho Muhammad Hatta Rahmatul Kholiq MULYANTO Mulyanto Mulyanto Mulyanto Mulyanto Mulyo, Tirto Niken Ardila, Devita Ayu Nindi Noor Zahrani, Adhias Nabilla nuning setyowati Nur Muttaqien Zuhri Nurul Aeni Okid Parama Astirin Okid Parama Astirin Okid Parama Astirin Oktyajati, Nancy Pramesti, Fahrisa Surya Prihapsara, Fea Purnomo, Nugroho Andi Puspitaningrum, Febriani Rachmawatie, Srie Juli Raden Kunto Adi Rahmatul Kholiq, Muhammad Hatta Rahning Utomowati Ravik Karsidi Respati, Adib Norma Rhina Uchyani Fajarningsih Risa Rahmawati Setyowati Setyowati Setyowati Setyowati Setyowati Setyowati Setyowati Setyowati Setyowati Shanti Emawati Singgih Purnomo Sirojudin Alfahmi Sri Marwanti Sri Marwanti Sri Mulyani Srie Juli Rachmawatie Sugiharti Mulya Handayani Sugiharti Mulya Handayani Sugiharti Mulya Handayani Suminah Susi Wuri Ani Sutrisna Hadi Purnomo Ulfa, Amalia Nadifta Utomowati, Rahning Winny Swastike Wiwit Rahayu