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Model Persamaan Simultan Untuk Jumlah Uang Beredar Tingkat Inflasi Dan Suku Bunga Domestik Di Indonesia Hakim, Abdul; Suripto, Suripto
Optimum: Jurnal Ekonomi dan Pembangunan Vol 1, No 1 (2011)
Publisher : Fakultas Ekonomi dan Bisnis Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1808.896 KB) | DOI: 10.12928/optimum.v1i1.7876

Abstract

The main purpose of this study was to analyze the influence of the money supply and the rate of inflation to domestic interest rate (SBI) in Indonesia in 1998.2 - 2008.1. The approach in this study using simultanenous equation model and estimated with Two Stage Least Square (2-SLS). The results prove: First the model estimates the amount of money supply showed that gross domestic product significantly with the positive direction on the money supply, the exchange rate is not significant to the money supply and lending rates significantly negative effect on the money supply. Second The model estimates is significant and positive effect on the inflation rate, the exchange rate is not significant to the level of and time deposit rates significantly positive effect on the rate of inflation. Third, the model estimates the domestic interest rate (SBI) shows that inflation is not significant to be SBI, the money supply is not significant to the SBI, the SBI rate significantly positive
Analisis Produksi Salak di Desa Wonokerto, Kecamatan Turi, Kabupaten Sleman, Provinsi Daerah Istimewa Yogyakarta Suripto Suripto; Rifka Nur Syabrina Putri
Jurnal Ekonomi Pembangunan Vol 9 No 2 (2020): Volume 9 Nomor 2 Tahun 2020
Publisher : Jurusan Ekonomi Pembangunan Fakultas Ekonomi dan Bisnis, Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jep.v9i2.80

Abstract

This study aims to analyze how big the influence of labor, manure, land area, price, experience to the amount of salak production in Wonokerto Village Turi District Sleman District. Determination of respondents using a simple random sampling method (Simple Random Sampling). Analyzer used is an analysis of the Cobb-Douglas production function. The result of the investigation shows the value of the coefficient of determination (R2) of 0.5342 can be interpreted variable production amount 53.42% in by independent variables studied influenced research, while the rest controlled by other factors. Result of F test of labor variable (X1), manure (X2), land area (X3), price (X4), and experience (X5) simultaneously have a positive and significant effect on the amount of salak production in Wonokerto Village. Furthermore, variable of labor, manure, land area has a real impact on production amount in Wonokerto Village. In contrast, price and experience variables have no significant effect on the amount of salak production.
DETERMINAN PENDAPATAN PEDAGANG KAKI LIMA (PKL) KULINER MALAM DI KECAMATAN UMBULHARJO Suripto Suripto; Ahmad Sodikin
Jurnal Manajemen STIE Muhammadiyah Palopo Vol 6, No 1 (2020)
Publisher : Lembaga Penerbitan dan Publikasi Ilmiah (LPPI) Universitas Muhammadiyah Palopo

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (803.985 KB) | DOI: 10.35906/jm001.v6i1.418

Abstract

AbstrakPenelitian ini bertujuan adalah untuk mengetahui pengaruh modal usaha, jumlah tenaga kerja, jam operasional, lama usaha, variasi menu, terhadap pendapatan pedagang kaki lima sektor kuliner malam di kecamatan Umbulharjo. Penelitian ini adalah penelitian asosiatif dengan jenis penelitian kuantitatif dan menggunakan data primer. Adapun sampel yang digunakan didalam penelitian ini yaitu pedagang kaki lima sektor kuliner malam di Kecamatan Umbulharjo berjumlah 32 kuesioner dan diambil dengan menggunakan metode purposive sampling. Untuk metode analisis yang digunakan pada penelitian ini yaitu analisis regresi linier berganda. Hasil analisis menunjukkan bahwa variabel modal usaha, jam operasional, lama usaha dan variasi menu berpengaruh secara signifikan terhadap pendapatan pedagang kaki lima sektor kuliner malam, sedangkan variabel jumlah tenaga kerja tidak berpengaruh signifikan terhadap pendapatan pedagang kaki lima sektor kuliner malam. Kata Kunci: Modal Usaha, Jam Operasional, Lama Usaha, Variasi Menu, Jumlah Tenaga Kerja, dan Pendapatan.AbstractThis study aims to determine the effect of venture capital, the number of workers, operating hours, business hours, menu variations, on the income of street vendors in the night culinary sector in Umbulharjo sub-district. This research is associative research with quantitative analysis and uses primary data. The samples used in this study were street vendors in the culinary sector of the night in Umbulharjo District, totaling 32 questionnaires and were taken using a purposive sampling method. The analysis method used in this study is the multiple linear regression analysis. The report results showed that the variables of venture capital, operating hours, business length, and menu variations significantly influence the income of street vendors in the culinary sector. In contrast, the variable number of workers does not considerably change the income of street vendors in the night culinary sector.Keywords: Business Capital, Operating Hours, Business Length, Menu Variations, Number of Workers, and Income.
Analisis Pengeluaran Rumah Tangga Miskin (Studi Kasus di Dusun Bulurejo Desa Kepek Kecamatan Saptosari Kabupaten Gunungkidul) Suripto -; Aprillia Nurmala Paramita
Ekopem: Jurnal Ekonomi Pembangunan Vol 4 No 1 (2022): Ekopem:Jurnal Ekonomi Pembangunan
Publisher : Program Studi Ekonomi Pembangunan Fakultas Ekonomi dan Bisnis Universitas Timor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32938/jep.v7i1.2225

Abstract

This study aims to analyze the expenditure of poor households in Dusun Bulurejo. The data of this study were obtained from questionnaires (primary) and some observations and interviews directly with related parties, especially poor households on poverty level, heads of household income, number of family members, education level of head of household and total asset ownership (motor vehicle). The results of this study indicate that the household poverty rate of 81.1% is influenced jointly by the variables in the model, while the rest is influenced by other factors outside the model. Partially, income variable (X1) is significant and positively affect the level of household poverty in Bulurejo sub-village, the number of outgoing members (X2) is significant and positively affect the level of household poverty in Bulurejo sub-village, head of family education (X3) the level of household poverty in Bulurejo hamlet and ownership of assets (motor vehicle) (X4) is significant and positively affect the level of household poverty in Bulurejo hamlet.
PENGARUH PEMBANGUNAN INFRASTRUKTUR TERHADAP PDRB DI PROVINSI INDONESIA Suripto Suripto; Eva Dwi Lestari
Wahana: Jurnal Ekonomi, Manajemen dan Akuntansi Vol 22, No 1 (2019)
Publisher : Akademi Akuntansi YKPN Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (725.18 KB) | DOI: 10.35591/wahana.v22i1.146

Abstract

Economic growth is one indicator to measure  the success of economic development in a country. Economic development is closely related to infrastructure. Infrastructure development will have an impact on economic growth both directly and indirectly. Therefore, the role of the government in determining infrastructure development policies is very important to increase economic growth in Indonesia. The purpose of this study is to determine the effect of infrastructure on economic growth in Indonesia including road infrastructure, electricity infrastructure, investment, water infrastructure, education infrastructure and health infrastructure in Indonesia in 2015-2017.The analytical tool used in this study is panel data regression with the approach of Fixed Effect Model. The spatial coverage of this study is all provinces in Indonesia, namely 34 provinces, with a series of data from 2015 to 2017 with a total of 102 observations. The data used is secondary data obtained from BPS Indonesia.The results of the study show that (1) the road infrastructure variables have a negative and not significant effect on GDRP. (2) electrical infrastructure variables have a negative and not significant effect on GDRP. (3) investment variables have a positive and significant effect on GDRP. (4) water infrastructure variables have a positive and not significant effect on GDRP. (5) educational infrastructure variables have a positive and not significant effect on GDRP. (6) health infrastructure variables have a positive and significant effect on GDRP. Keywords: development, infrastructure, investment, GDRP, panel data
Analysis of Market Structure, Behavior and Performance at the Manding Leather Industry Center of Bantul Yogyakarta Suripto Suripto; Isna Tri Wulandari; Ignatius Abasimi
Journal of Asset Management and Public Economy (JAMPE) Vol. 1 No. 2 (2022)
Publisher : Universitas Ahmad Dahlan, Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (626.526 KB) | DOI: 10.12928/jampe.v1i2.5815

Abstract

Bantul Regency has the largest and only leather product industry center in the DIY Province. Marketing at the center of the leather industry is competition between each leather producer. This is a crisis problem and must find a solution to overcome it. The analysis that can be used to determine the marketing system is SCP (Structure-Conduct-Performance) analysis. This research was conducted at the leather industry center in Manding, Sabdodadi, Bantul district, Bantul, Yogyakarta Special Region. This study aims to determine the structure, behavior and market performance of the leather industry center in Manding. The method used by the researchers in this study used primary data from leather craftsmen and secondary data (BPS) as well as interviews and filling out questionnaires. The results showed that the structure of the leather market in Manding was an oligopoly with a CR4 calculation of 70.14%. For the market behavior of the leather industry in Manding with the CLR calculation, it is included in the labor-intensive industry class with the calculation results below 20% and market performance seen from the PCM obtained an average of 0.53%. With the largest PCM is 0.95% but the largest PCM does not become the largest market share (MS) means the benefits seen from PCM do not affect the market share.