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All Journal JSEH (Jurnal Sosial Ekonomi dan Humaniora) GANEC SWARA
KARISMAWAN, PUTU
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FAKTOR INFRASTRUKTUR DALAM PEMBANGUNAN EKONOMI KOTA MATARAM SANTIAN, SANTIAN; KARISMAWAN, PUTU; SARIPTA W.M, BAIQ
GANEC SWARA Vol 13, No 2 (2019): September 2019
Publisher : Universitas Mahasaraswati Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (681.923 KB) | DOI: 10.35327/gara.v13i2.103

Abstract

   This study is entitled "Infrastructure Factors in the Economic Development of the City of Mataram". The purpose of this study is to look at the role of road infrastructure, electricity infrastructure and education infrastructure, both partially and simultaneously in the economic development of the City of Mataram. Infrastructure indicators in this study include roads, electricity and education. Gross Regional Domestic Product (GRDP) on the basis of being used as an economic indicator. Infrastructure data and GRDP analyzed cover the period 2001-2016.   The results of the analysis show that simultaneous road, electricity and education infrastructure play a significant role in the economic development of the city of Mataram. partially road infrastructure and electricity infrastructure play a significant role in the economic development of the City of Mataram. 
FENOMENA MIGRASI SIRKULER DI KOTA MATARAM SUNDARI, NI PUTU FEBBY; KARISMAWAN, PUTU; SALMAH, EMY
GANEC SWARA Vol 14, No 1 (2020): Maret 2020
Publisher : Universitas Mahasaraswati Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (501.167 KB) | DOI: 10.35327/gara.v14i1.134

Abstract

Theoretically, development of the city depends on labor resources. Generally, labor resources of the city come from periphery area. Developed infrastructure is a factor that mobilized labor resources from periphery to the city. There are two alternatives to the workers who come from periphery area; first they can stay in the city by renting apartment or the second as commuter. Many of the workers choose as commuter, so it is quite interesting to know what factors influence workers make choice as commuter. It is more specific whether factors such as income, length of work, age, distance, education level, and marital status influence the interest of workers to conduct circular migration. The analytical tool used is logistic regression analysis, Binary Regression Logistic. This research is a descriptive study that uses quantitative analysis using 1 dependent variable, namely interest in migration and six independent variables, namely income, length of working, age, distance, education level, and marital status. To achieve these objectives in this research logistic regression analysis was used, namely Binary Regression using primary data as many as 80 respondents. The results show that above variables; income, length of working, age, distance, level of education and marital status simultaneously and significantly influence on interest of workers in doing circulation migration to the Mataram City. Factors that partially influence significantly on the interest of workers doing migration to the Mataram City with a significance value with an alpha level of 5% are income, length of working, distance and level of education. While the age variable and marital status is not significant in effect.
ANALISIS DETERMINAN PENDAPATAN PETANI PROGRAM HUTAN KEMASYARAKATAN (HKm) DI KECAMATAN BATUKLIANG UTARA KABUPATEN LOMBOK TENGAH Widiarti Winata, Ni Gusti Ayu; Basuki, Prayitno; Karismawan, Putu
JURNAL SOSIAL EKONOMI DAN HUMANIORA Vol 1, No 1 (2015): JURNAL SOSIAL EKONOMI DAN HUMANIORA
Publisher : LPPM Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jseh.v1i1.21

Abstract

Tujuan  penelitian  ini  untuk  mengetahui  determinan  pendapatan  petani  peserta  program  HKm  di Kecamatan Batukliang Utara Kabupaten Lombok Tengah, baik secara parsial maupun secara serempak dan  untuk  mengetahui  determinan  yang  paling  dominan.  Jenis  penelitian  yang  digunakan  adalah penelitian deskriptif. Data yang digunakan adalah data primer dan sekunder. Metode pengumpulan data digunakan sampel survey. Jumlah sampel sebanyak 150 orang. Untuk menentukan responden yang terpilih dilakukan dengan undian. Metode analisis data dengan mengguna kan regresi linier berganda. Hasil dari penelitian ini secara parsial, dari 7 variabel yang mempengaruhi pendapatan, terdapat 3 variabel  yang  tidak  berpengaruh  signifikan  yaitu  pendidikan,  curahan  waktu  kerja  dan  lokasi. Sedangkan variabel  luas lahan, pengalaman, modal dan penyuluhan berpengaruh signifikan terhadap pendapatan. Variabel yang paling dominan adalah variabel modal dengan besaran koefisien korelasi 0,755. Nilai koefisien determinasi (R2) yaitu sebesar 0,701. Ini berarti hanya 70,10 persen variabel dalam model berpengaruh terhadap pendapatan, sedangkan variabel lainnya yang tidak dimasukkan dalam  model,  kontribusinya  sebesar  29,90  persen.  Pendapatan   rata-rata  dalam  satu  bulan  untuk masing-masing strata adalah strata I sebesar Rp. 2.379.245, strata II sebesar Rp. 2.678.500 dan strata III sebesar Rp. 3.158.823. Sedangkan secara keseluruhan pendapatan rata-rata dari 150 responden adalah sebesar Rp. 2.632.000 per bulan. Saran untuk peneliti selanjutnya yang tertarik dengan kajian ini, agar memasukkan variabel lain yang belum tercover dalam model, seperti umur, tenaga kerja luar keluarga, biaya-biaya dalam usaha tani dan konsumsi. Sedangkan untuk pemerintah, agar pendapatan petani HKm meningkat yaitu dengan memberikan tambahan lahan yang bisa dikelola untuk petani yang lahannya kurang dari 0,5 ha.
Co-Authors Prayitno Basuki, Prayitno SALMAH, EMY SANTIAN, SANTIAN SARIPTA W.M, BAIQ SUNDARI, NI PUTU FEBBY Widiarti Winata, Ni Gusti Ayu