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All Journal Jurnal Pemberdayaan Masyarakat Madani (JPMM) KINERJA : Jurnal Ekonomi dan Bisnis Baut Dan Manufaktur
mirtawati, mirtawati
Fakultas Sains Teknologi UIA
Arts Humanities Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Industrial & Manufacturing Engineering Mechanical Engineering Social Sciences Other

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PKW Program 2018-2020: The Transformation of Mutiara Waste Bank Jakamulya Village Bekasi to Implement 3R-based Technology Ahmad Kholil; Budiaman; Aam Amaningsih Jumhur; Mirtawati
Jurnal Pemberdayaan Masyarakat Madani (JPMM) Vol 5 No 2 (2021): Jurnal Pemberdayaan Masyarakat Madani (JPMM) (DOAJ & SINTA 3 Indexed)
Publisher : Fakultas Ekonomi Universitas Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/JPMM.005.2.04

Abstract

The impact of not optimal waste management in Jakamulya Urban Village, Bekasi City, which is always flooded by garbage and Situ Wo which cannot hold water. Efforts to manage waste from its source have been made with waste banks but have not been optimal. The objective of the Regional Partnership Program (PKW) with Bekasi City is to increase community participation in waste management with the 3R concept (reuse, recycle, reduce). Based on the results of implementing the PKW program, it can be concluded that the operation of the Mutiara Waste Bank in Pondok Suryamandala, Jakamulya Village, Bekasi City based on TPS 3R is the key to handling community-based (communal) waste which is very effective for waste management that is directly the community as a plus manager (home industry owner). Without this communal system, it is impossible for waste to be handled completely or sustainably. Cultivating good waste disposal methods starting from the household environment to submitting waste to the Waste Bank is an effective method at the community level that will ultimately be independent of the community in managing their own waste. Organizing TPS 3R into a center for the maximum utilization of organic and inorganic waste is a communal-based waste management program that will definitely cut the chain of waste distribution from TPS 3R to landfills.
VECTOR AUTOREGRESSIVE INTEGRATED (VARI) MENGGUNAKAN SOFTWARE R VECTOR AUTOREGRESSIVE INTEGRATED (VARI) USING SOFTWARE R Andri Saputra; mirtawati mirtawati
Baut Dan Manufaktur Vol 2 No 1 (2020): Jurnal Baut Dan Manufaktur Vol. 2 No. 1 Tahun 2020
Publisher : Fakultas Sains Dan Teknologi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (778.782 KB)

Abstract

Model Vector Autoregressive Integrated (VARI) merupakan perluasan dari model Autoregressive Integrated (ARI). Model VARI suatu model deret waktu multivariat yang dipengaruhi oleh variabel itu sendiri dan variabel lain pada periode sebelumnya dimana data tidak stasioner. Proses dalam menerapakn model VARI meliputi differencing, identifikasi, stasioneritas, estimasi parameter, uji diagnostik, dan peramalan. Pada penelitian ini, dengan asumsi galat berdistribusi normal, estimasi parameter model VARI dapat menggunakan metode Maximum Likelihood Estimation (MLE) dengan memaksimumkan fungsi ln likelihood. Data yang digunakan adalah nilai Impor dan eskpor Indonesia.
ANALISIS REGRESI DATA PANEL PADA FAKTOR-FAKTOR YANG MEMPENGARUHI KEMISKINAN DI INDONESIA TAHUN 2015 – 2019 Mirtawati Mirtawati; Nadiya Aulina
Kinerja Vol 4 No 01 (2021): Kinerja : Jurnal Ekonomi dan Bisnis
Publisher : Fakultas Ekonomi dan Bisnis Universitas Islam As-Syafi'iyah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34005/kinerja.v4i1.1781

Abstract

High rate of poverty in Indonesia is shown by the large number of poor people. This condition means that the economic development is not still be able to increase the walfare of the people. First, we need to analyze which factors that might be able to significantly affect the rates of poverty. The goal of this research is to determine those factors in Indonesia from 2015-2019. Secondary data is used in this research along with Data Panel Regression Analysis that is consisted of time series data in range 2015-2019 and cross section data of 33 provinces in Indonesia that is processed by Eviews 9. The regression model is obtained from Ordinary Least Square estimation through fixed effect model approach using dummy variable to find out different intercept in each provinces which explaining different area. The result show that the economic growth is significantly and negatively affecting the poverty in Indonesia from 2015 to 2019. DKI Jakarta, Riau Islands, and East Kalimantan negatively affected to the factors of poverty while Papua, West Papua, and East Nusa Tenggara positively affected.
Co-Authors Aam Amaningsih Jumhur Ahmad Kholil Andri Saputra Budiaman Nadiya Aulina