The Happiness of Smallholder Layer-Chicken Farmers in Rural of East Java, Indonesia

Abstract

This study was conducted to measure the level of happiness of smallholder layer-chicken farmers in rural East Java based on the subjective well-being conditions. The study was conducted in April 2019 with a survey method in the Malang Regency of East Java Province. Analysis units were 109 (20%) smallholder layer chicken households purposively selected from 543 poultry farmers. Data collection was carried out through interviews using structured questionnaires and assistive tools of scoring on questions related to the dimensions of life satisfaction, affect, and eudaimonia that represent the ladder of life scale on a scale of 0 to 10. The three dimensions were divided into 19 indicators and used to calculate the Happiness Index. Smallholder layer chicken farmers said that they were "Satisfied" with 8 indicators and "Completely Satisfied" with 2 indicators of Life Satisfaction Dimension, and produced a Life Satisfaction Index of 7.40 (Happy). Farmers said that they were "Satisfied" with the 3 indicators of Affection Dimension and produced the Affection Index of 6.64 (Happy). Farmers said that they were "satisfied" with 6 indicators of Eudaimonia Dimension and produced the Eudaimonia Index of 7.74 (Happy). It can be concluded that the Happiness Index of smallholder layer chicken farmers in rural areas of East Java Province was 7.28 and classified as "Happy".

Penentuan Wilayah Pengembangan Ternak Ruminansia Besar Di Provinsi Jawa Timur

“…Keberadaan ternak ruminansia besar memberikan dampak positif terhadap perekonomian masyarakat Jawa Timur, terlihat dari kontribusi sub sektor peternakan terhadap PDRB Provinsi Jawa Timur yang cukup besar (Darmanto et al, 2020;Sutawi, 2015). Karakteristik wilayah baik dari aspek geografis, sosial ekonomi, budaya, demografis, maupun agroekologis memberikan keuntungan komparatif dan kompetitif untuk di eksploiasi dan dikembangkan secara optimal (Setiyanto & Irawan, 2015).…”

“…Konsep ini dimodifikasi dengan menggabungkan analisis LQ untuk menentukan konsentrasi sektor atau komoditas dan analisis SS untuk menentukan pertumbuhan sektor atau komoditas. Kombinasi pendekatan tiga analisis ini telah banyak digunakan dalam penentuan komoditas unggulan bidang pertanian termasuk sektor peternakan dan membaginya menjadi empat kuadran, yaitu komoditas maju dan tumbuh cepat (kuadran I), komoditas maju namun tertekan (kuadran II), kmoditas potensial (kuadran III), komoditas tertinggal (kuadran IV) (Sutawi, 2015;Misbah et al, 2018;Firman & Nono, 2020;Siradjuddin et al, 2021).…”

“…Beberapa penelitian sebelumnya yang berkaitan dengan wilayah unggulan di Jawa Timur, seperti Sutawi (2015) melakukan pemetaan subsektor peternakan unggulan di Provinsi Jawa Timur dengan pendekatan analisis LQ, SS, dan Tipologi Klassen menggunakan data PDRB Tahun 2009-2013. Darmanto et al, (2020) melakukan penelitian tentang subsektor basis di sektor pertanian di Jawa Timur menggunakan analisis LQ, menggunakan data PDRB Indonesia Tahun 2010-2016.…”