The Analysis of Beef Cattle Subsystem Agribusiness Implementation in Central Java Province, Indonesia

Abstract

ABSTRAKPenelitian dilakukan dengan tujuan untuk menganalisis penerapan subsistem agribisnis usaha ternak sapi potong di Jawa Tengah. Lokasi penelitian ditentukan secara purposive sampling berdasarkan Location Quotion (LQ) yaitu Kabupaten Rembang, Blora, Grobogan, Boyolali dan Wonogiri. Responden peternak ditentukan dengan metode quota sampling, setiap kabupaten diambil 40 responden. Data dianalisis dengan Structural Equation Model (SEM). Hasil penelitian menunjukkan bahwa subsistem agribisnis diterapkan dengan indeks cukup, yakni score untuk subsistem sarana produksi 0,693; proses produksi 0,721; pasca panen 0,684; pemasaran 0,626 dan Lembaga Pendukung Agribisnis adalah 0,691. Analisis menunjukkan bahwa model SEM adalah layak dengan nilai Chi-Square=0,952; RMSEA=0,000; Probabilitas=0,621 dan TL1=1,126. Analisis Critical Ratio (CR) menunjukkan bahwa subsistem agribisnis hulu berpengaruh terhadap proses produksi; subsistem proses produksi berpengaruh terhadap subsistem agribisnis hilir; subsistem agribisnis hilir berpengaruh terhadap pendapatan peternak, subsistem pemasaran berpengaruh terhadap subsistem agribisnis hilir dan Lembaga Pendukung Agribisnis berpengaruh terhadap subsistem agribisnis hilir dan pemasaran. Kesimpulan: penerapan subsistem agribisnis usaha sapi potong dilakukan dengan indeks penerapan cukup, setiap subsistem saling berhubungan dan berpengaruh terhadap penerapan agribisnis sapi potong. Kata Kunci: penerapan subsistem agribisnis, Structural Equation Model (SEM), sapi potong, quota sampling, Location Quotion (LQ) ABSTRACTThe study aimed to analyze the implementation of subsystem agribusiness on the beef cattle farming in Central Java. Five districts (Rembang, Blora, Grobogan, Boyolali and Wonogiri) were purposively chosen based on the value of Location Quotient (LQ). The study was conducted using quota sampling method. Forty respondents of each district were chosen randomly using quota sampling. Data were analyzed through Structural Equation Model (SEM). The results showed that each subsystem agribusiness had adequate potential score. The score of 0.693, 0.721, 0.684, 0.626, and 0.691 were given for up-stream subsystem, on-farm, down-stream subsystem, marketing and supporting institution, respectively. The results showed that the SEM model was feasible with Chi-Square value=0.952; RMSEA=0.000; Probability =0.621 and TL1=1.126. The significant results of Critical Ratio (CR) were: up-stream subsystem to the on-farm agribusiness; on-farm subsystem to down-stream agribusiness; down-stream subsystem to the farmer's income; marketing subsystem to the up-stream agribusiness and Supporting Institution to the marketing subsystem and down-stream agribusiness. The conclusion of research indicated that the implementation of beef cattle subsystem agribusiness had adequate index and give positive effect to the beef cattle agribusiness.

The factors influencing production and economic efficiency of beef cattle farm in Grobogan Region, Central Java

“…Whereas, farm scale was the dominant variable affecting beef cattle production and labor as well. This was consistent with the results of Ekowati et al (2011) and Kalangi et al (2014) stating that farm scale was essential for livestock breeding and because the small-scaled breeding will not be efficient for input factor excertion so that the production also will not give a good result. In addition, another crucial thing to be considered in this factor was agribusiness implementation, where there was 'six right' approach implemented to show that the right allocation of production factors actually impacted to livestock production.…”

“…This condition reflects whether the livestock business was efficiently operated or not. That this condition happened due to the high price of cattle, the forage availability which was less in dry season, the high price of concentrates and medicines, access barrier to get the good quality cattle as well as level of education and labor number (Ekowati et al, 2011). Farmers with beef cattle breeding of 2.5 cattle units required production costs of IDR 8,095,927.19 per year with the highest cost of IDR 3,760, 560 (46.45%) allocated for forage.…”

“…Of the many households absorbed in agricultural sector, the farming-livestock breeding apparently not give any good results, meaning that the efforts undertaken have not efficient yet. Farminglivestock breeding in farmer households with an agribusiness approach is a study which combines a subsystem concept of agribusiness with purpose to improve the use of production facilities so that a better production can be resulted (Ekowati et al, 2011). The productivity of a good farminglivestock breeding can be achieved if the combination of production factors can be managed properly.…”

Analisis Efektivitas Jasa Pergudangan Hasil Pertanian Dengan Sistem Resi Gudang Di Desa Rengging, Kecamatan Pecangaan, Kabupaten Jepara

“…Analisis ini dilakukan berdasarkan respons pengguna SRG dengan menghitung skor tiap variabel. Skor yang sudah didapat kemudian dihitung nilai ketepatannya sesuai dengan rumus dari Ekowati et al (2011) Kemudian dilakukan uji Chi Square untuk mengetahui perbedaan antara nilai kenyataan dan nilai yang diharapkan, serta untuk memperkuat hasil analisis. Analisis efektivitas jasa pergudangan dari waktu penyimpanan.…”

Profitability of Smallholder Dairy Farms Based on the Performance of Lactating Cows and Fresh Milk Market Prices at Lowland Areas of Yogyakarta

“…Kay et al 2008). According to Ekowati et al (2011), the implementation of beef cattle agribusiness subsystem had positive influence to the beef cattle agribusiness and its outcome that support to increase production and incomes of farmers. Furthermore, these factors would be appeared in the components and the values were arranged in the implementation of the farming system.…”