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Title: THE FACTORS AFFECTING THE VULNERABILITY INDICATORS OF FISHERMEN HOUSEHOLD IN TANGGAMUS REGENCY OF LAMPUNG PROVINCE, INDONESIA
Authors: Maya Riantini , Muhammad Yazid , Laila Husin , Dessy Adriany , Indah Listiana
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Maya Riantini1 , Muhammad Yazid2 , Laila Husin2 , Dessy Adriany2 , Indah Listiana1 1. Faculty of Agriculture, University of Lampung, Bandar Lampung, Indonesia 2. Faculty of Agriculture, University of Sriwijaya, Palembang, Indonesia
MLA 8 Riantini, Maya, et al. "THE FACTORS AFFECTING THE VULNERABILITY INDICATORS OF FISHERMEN HOUSEHOLD IN TANGGAMUS REGENCY OF LAMPUNG PROVINCE, INDONESIA." Int. j. of Social Science and Economic Research, vol. 4, no. 9, Sept. 2019, pp. 5984-5997, ijsser.org/more2019.php?id=457. Accessed Sept. 2019. APA Riantini, M., Yazid, M., Husin, L., Adriany, D., & Listiana, I. (2019, September). THE FACTORS AFFECTING THE VULNERABILITY INDICATORS OF FISHERMEN HOUSEHOLD IN TANGGAMUS REGENCY OF LAMPUNG PROVINCE, INDONESIA. Int. j. of Social Science and Economic Research, 4(9), 5984-5997. Retrieved from ijsser.org/more2019.php?id=457 Chicago Riantini, Maya, Muhammad Yazid, Laila Husin, Dessy Adriany, and Indah Listiana. "THE FACTORS AFFECTING THE VULNERABILITY INDICATORS OF FISHERMEN HOUSEHOLD IN TANGGAMUS REGENCY OF LAMPUNG PROVINCE, INDONESIA." Int. j. of Social Science and Economic Research 4, no. 9 (September 2019), 5984-5997. Accessed September, 2019. ijsser.org/more2019.php?id=457.
References [1]. Abebe, F.E., 2016. Determinants of Rural Households ' Vulnerability to Poverty in Chencha and Abaya Districts , Southern Ethiopia ( Microeconometric Analysis ). , 7(21): 41-56BPS, 2016. Kabupaten-Tanggamus-Dalam-Angka-2016 (1). [2]. Chambers, R., 1983, Pembangunan Desa-Mulai Dari Belakang, Jakarta: LP3ES, 1996. PRA-Participatory Rural Appraisal Memahami Desa Secara Partisipatif, Yogyakarta: Kanisius. [3]. Chaudhuri, S., 2001. Reconceptualizing Poverty Assessment to Take Account of Vulnerability. Third Asian Development Forum. ASEAN, Bangkok. [4]. Christiaensen, L. J., and Boisvert, Richard N., 2000. On Measuring Household Food Vulnerability: Case Evidence from Northern Mali. Working Paper. Department of Applied Economics and Management Cornell University, Ithaca, New York. [5]. Cutter, S. L, Bryan, J., Boruffand W. Lynn Shirley., 2003. Social Vulnerability to Environmental Hazards. [6]. Edoumiekumo, S.G., Karimo, T.M. & Tombofa, S.S., 2014. Determinants of Households ' Income Poverty in the South -South Geopolitical Zone of Nigeria. Journal of Studies in Social Science, 9(1): 101-115. [7]. Dinas Kelautan dan Perikanan Provinsi Lampung. 2015. Profil Pulau-Pulau Kecil Provinsi Lampung, 2015. Dinas Kelautan dan Perikanan, Provinsi Lampung, Lampung. [8]. Kakota, T., Nyariki, D., Mkwambisi, D. & Kogi-Makau, W., 2015. Determinants of household vulnerability to food insecurity: A case study of semi-arid districts in Malawi. Journal of International Development, 27(1): 73-84. [9]. Kusnadi. 2003. Akar Kemiskinan Nelayan, Yogyakarta: LKiS [10]. Mussawir, 2009. Analisis Masalah Kemiskinan Nelayan Tradisional Di Desa Padang Panjang Kecamatan Susoh Kabupaten Aceh Barat Daya Propinsi Nanggroe Aceh Darussalam. [11]. Retnowati, E., 2011. Nelayan Indonesia Dalam Pusaran Kemiskinan Struktural. Perspektif, XVI(3): 149-159. [12]. Setyaningrum, P. & Giyarsih, S.R., 2012. Identifikasi Tingkat Kerentanan Sosial Ekonomi Penduduk Bantaran Sungai Code Kota Yogyakarta terhadap Bencana Lahar Merapi. Jurnal Bumi Indonesia, 1(3): 262-269. [13]. Sugiyono. 2012. Metode Penelitian Kuantitatif Kualitatif dan R&D. Bandung: Alfabeta. [14]. Tain, A., 2011. Penyebab kemiskinan rumah tangga nelayan di wilayah tangkap lebih jawa timur. Humanity, 7(September): 1-10. [15]. Thabane, K., 2015. Determinants of Vulnerability to Livelihood Insecurity at Household Level: Evidence from Maphutseng, Lesotho. Journal of Agricultural Extension, 19(2): 1-20. [16]. Yang, R., 2014. Yang_Rui_2014_researchpaper.
Abstract: The limitation of traditional fishery business is caused by many factors, e.g., weather and climate, capital, a still simple technology, and internal issues of fishermen households causing low fish production. This can further lead to the low income of traditional fishermen which making it difficult to meet the minimum needs of households, and causing their vulnerability. This research intended to describe the vulnerability condition of fishermen households and analyze the factors causing it. Data used in this research were primary data and secondary data. Data results were obtained by counting the score numbers on the respondents. From the data results, it was found that most of the incomes of fishermen households using motor boats were on the low vulnerability score levels while the average of the incomes of fishermen households using outboard motor boats were on the medium and high vulnerability score levels. Whereas the significant variables causing vulnerability for motor boat fishermen households were (1) production variable with t-value of -1.949 and significant level of 0.055, (2) capital variable with t value of -1.997 and significant level of 0.051, (3) fishery income variable with t value of -2.032 and significant level of 0.045. Whereas the non-significant variables for motor boat and outboard motor boat fishermen were age, total of labor, and dummy.

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