The purpose of this research is to analyze the factors affecting female workers as housewives in Palembang. The independent variables in this research are the level of education, work hours, marriage status, work experience, financial dependency and age. This research was conducted in Palembang, South Sumatra Province. This research used primary data with samples of 97 respondents. The method used in this analysis was the Ordinary Least Squared (OLS) by using E-views 9.0. The result showed that the level of education and work hours had significant and positive effect on the income of female workers from poor households. For the age variable had significant and negative effect on the income of female workers from poor households. Meanwhile, the marriage status variables had no difference income between married and single female workers. For work experience had no significant and negative effect on the income of female workers from poor households, and for financial dependency had positive effect but no significant on the income of female workers from the poor households in Palembang.
Era revolusi industri 4.0 merupakan tantangan bagi suatu negara untuk mengubah model bisnis konvensional kedalam sistem berteknologi. Penggunaan teknologi inovatif di bidang keuangan (Financial Technology) menuntut model bisnis konvensional untuk segera berubah kearah moderat. FinTech muncul seiring perubahan gaya hidup masyarakat yang didominasi oleh pengguna teknologi informasi untuk menjadi penghubung antara sektor finansial dengan pengguna atau masyarakat umum. Indonesia merupakan pasar besar bagi FinTech seiring dengan meningkatnya mayoritas pengguna teknologi internet untuk transaksi bisnis.FinTech sangat berpotensi menjadi salah satu solusi untuk mengatasi masalah kekurangan permodalan bagi UMKM. Fintech diharapakan menjadi altenatif solusi bagi UMKM bertempat tinggal jauh dari pusat kota untuk memperoleh permodalan. Berdasarkan pada fenomena diatas, tim pengabdian kepada masyarakat Fakultas Ekonomi Universitas Sriwijaya, telah melakukan edukasi mengenai peran FinTech sebagai alternative permodalan bagi UMKM di Desa Kerinjing, Kabupaten Indralaya. Kegiatan pengabdian kepada masyarakat dilaksanakan pada hari Rabu tanggal 12 November 2019.Peserta terdiri dari 0 orang pelaku UMKM di Desa Kerinjing dan sekitarnya. Tim pelaksana memberikan materi terkait dengan apa yang dimaksud dengan financial technology, manfaat dari fintech dan dampak dari fintech. Peserta dapat membedakan fintech legal dan illegal.Fintech legal yang dimaksud adalah fintech yang terdaftar di Otoritas Jasa Keuangan (OJK). Sebagai evaluasi kegiatan, tim memberikan form kuisioner yang diisi oleh peserta. Berdasarkan hasil kuesioner, pemahaman peserta setelah diberikan edukasi Fintech telah mencapai 70 %.
This study aims to examine empirically the power of monopsony in the academic labor market, particularly in public universities. Upward sloping supply curve is indicative of monopsony and its power supply elasticity is suspected of demand for lecturers. The method used to estimate the supply equation for lecturer at four public universities in Indonesia is OLS model. A stratified sample is determined proportionally as much as 348 lecturers, by academic rank, gender and discipline. It is found that the supply elasticity is inelastic indicating that earnings lecturers are in non-competitive conditions. When employers face an inelastic supply curve, the marginal expenditure and average expenditure is very much different, which gave it the power to set wages, so it implies that the power of monopsony is big.
This study aimed to examine the affect of the wage, age, and number of dependents to labor productivity of coffee powder business. The study was done in Muara Enim regency by using primary data with 65 respondents as the sample from 181 people as the population. The technique of selecting the data was survey method with random sampling method. The technique of analyzing the data that was used of this study was multiple linear regression analysis with OLS method. The results of this study were: 1. The wage affected positive impact and was significant to productivity. 2. Age affected positive impact and was significant to productivity. 3. Number of dependents affected positive impact but was not significant to productivity. The most dominant variable of this study was age. So, the variation of all independent variables could explain the total number of variation of productivity was 93%.
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