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Journal : Habitat

Impact of Government Policy on Tuna Commodities in Malang District, East Java Yeni Sari Wulandari; Suhartini Suhartini; Hery Toiba
HABITAT Vol. 31 No. 3 (2020): December
Publisher : Department of Social Economy, Faculty of Agriculture , University of Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.habitat.2020.031.3.20

Abstract

Tuna commodity turns out to be one of fishery commodities contributing to an export increase by value above the average of 18.57%. This is an opportunity for Indonesia to improve the country's economy by utilizing existing fishery resources. Thus, government policies are needed in order to support the export performance of fishery products. This research was conducted to determine the impact of government policies toward tuna fish commodities in Malang. The method used was the Policy Analysis Matrix (PAM) that aimed at knowing the impact of government policies on tuna commodities. In this study, the respondents were 30 tuna fishermen at TPI Pondokdadap. The results of analysis showed that there were subsidies, taxes, and trade restrictions in input factor. Nonetheless, in output factor, fishermen did not receive subsidies. The existence of a policy on input is very helpful for fishermen so as to reduce production costs, while in the output policy the community receives more benefits at low output prices. However, it can be seen from the DRC and PCR values that they are less than one. This means that the tuna fish commodity in Malang still has comparative and competitive advantages in competitiveness.
Efficiency of Palm Oil Companies in Indonesia: A DEA Approach M. Khairul Anam; Suhartini Suhartini
HABITAT Vol. 31 No. 2 (2020): August
Publisher : Department of Social Economy, Faculty of Agriculture , University of Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.habitat.2020.031.2.7

Abstract

The purpose of this study was to investigate technical, allocative, cost and scale efficiency of palm oil companies in Indonesia. The data used cross sectional data on Indonesian Manufacturing Industries that were collected in the annual surveys by Indonesia’s Central of Statistics/BPS for 2015 which is registered under KBLI code 10431. Data envelopment analysis (DEA) is a nonparametric method in operations research and economics for the estimation of production frontiers. It is used to empirically measure productive efficiency of decision making units (DMUs). The input of the palm oil production system are capital, labor, materials, land and energy. While output include industrial product in terms of CPO/PKO and biogas. The finding shows that Riau Island, North Sulawesi and Papua have high score of efficiency in terms of TE, AE, CE and SE, while West Java and Banten province at low level in terms of cost and allocative efficiency. Nevertheless, on nationwide the score of allocative and cost efficiency still low. Hence, all the input efficiencies still need to be improved, and also reduce cost of production. Beside that, the companies should make an improvement by enhancing management capabilities and improving allocation efficiency.
Hierarchy Analysis, Leading Commodities and Community Participation in Agropolitan Areas in Trenggalek Regency, East Java Province Angga Pratama Putra; Budi Setiawan; Suhartini Suhartini
HABITAT Vol. 32 No. 2 (2021): August
Publisher : Department of Social Economy, Faculty of Agriculture , University of Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.habitat.2021.032.2.8

Abstract

The agropolitan area in Trenggalek Regency is one of the regional development programs that began in 2006.The objectives of this study are 1) Determining the hierarchical structure of growth and service centers in an agropolitan area, 2) Determining superior commodities that can be developed in an agropolitan area, 3) Knowing perceptions and levels of community participation as well as the factors that influence it in an effort to increase active community participation as the main actor in agropolitan area development. The research location was determined purposively. This study uses two types of data, namely primary data and secondary data. The analytical methods used in this research are 1) scalogram analysis, 2) Location Quotient / LQ analysis, 3) non-parametric chi-square statistical analysis. Based on the schalogram analysis of villages in the agropolitan area in Trenggalek Regency, it is obtained a hierarchy of regions in the agropolitan area in Trenggalek Regency, so that Tasikmadu, Pule, Jombok and Sumurup Villages are the centers of growth and service centers while the development areas of Karanggandu Village, Prigi, Watulimo, Sawahan, Watuagung, Sidomulyo, Tanggaran, and Dompyong are agropolitan areas. While other development areas, namely the Dukuh, Slawe, Gemaharjo, Pakel, Ngembel, Puyung, Joho, Kembangan, Pakel, Masaran, Sengon, Srabah, Surenlor and Botoputih development areas are hinterland areas. Based on the results of the LQ analysis, the agropolitan area in Trenggalek Regency has 34 (thirteen) commodities that have an LQ value of more than 1: leaves, potatoes, mustard greens, long beans, large chilies, bird's eye chilies, green beans and chayote, c) Fruit crop subsectors: avocado, star fruit, duku, durian, guava, water guava, orange siem, large orange, mangosteen, jackfruit, papaya, rambutan, salak, sapodilla and soursop, d) Sub-sector of plantation crops: Patchouli, sugarcane, cocoa, cloves, coffee, vanilla and cottonwood. The level of public perception towards agropolitan programs is relatively poor. The level of community participation in agropolitan programs is relatively low. The intrinsic factors that have a real influence on the level of participation are income and land area, while the extrinsic factors are socialization, assistance, openness of government, program suitability and benefits. Increasing community participation can be done by improving the factors that have a real influence.