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All Journal Diponegoro Journal of Economics Trikonomika: Jurnal Ekonomi ARMADA : Jurnal Penelitian Multidisiplin JURNAL EKONOMI BISNIS DAN MANAJEMEN Jurnal Pengabdian Masyarakat Indonesia Sejahtera Jurnal Ekonomi Bisnis dan Manajemen FINANCE : International Journal Of Management Finance JURNAL RUMPUN MANAJEMEN DAN EKONOMI Beujroh : Jurnal Pemberdayaan dan Pengabdian pada Masyarakat Journal of Development Economics and Digitalization, Tourism Economics (JDEDTE) Jurnal Akuntansi, Ekonomi dan Manajemen Bisnis

Hastarini Dwi Atmanti

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Author-ID : 6259945

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WASTE MANAGEMENT SERVICE IN INDONESIA BASED ON STOCHASTIC FRONTIER ANALYSIS Nurul Laily Luthfiani; Hastarini Dwi Atmanti
TRIKONOMIKA Vol 20 No 2 (2021): December Edition
Publisher : Faculty of Economics and Business, University of Pasundan

Waste management in the big cities of Indonesia is still become a complicated problem. This article aims to analyze the influence of socio-economic factors which consist of GRDP per capita, population density, gender ratio, the proportion of population productive age and education on the efficiency of waste management service (WMS) in provincial capitals in Indonesia. The method used was Stochastic Frontier Analysis (SFA). The resulted WMS efficiency from this study were 0.39. Based on that value, it means the efficiency of WMS are still low and the efficiency can be improved about 61%. It also can be concluded that all variables were significantly influenced the WMS efficiency, except gender ratio. Expected that the result of this study can be used by both central and local government to improve the WMS in Indonesia.

ANALISIS PENYERAPAN TENAGA KERJA PADA INDUSTRI KECIL (Studi Kasus di Sentra Industri Kecil Ikan Asin di Kota Tegal) Diah Nur Fadliilah; Hastarini Dwi Atmanti
Diponegoro Journal of Economics Vol 1, No 1 (2012)
Publisher : Universitas Diponegoro

ABSTRACT Job opportunity is one of indicators to assess economic development. However, the recruitment of worker still not able overcomes unemployment. The development of small industries will help overcoming unemployment because small industries used technology of labor intensive. Tegal occupied the first job seeker in Central Java with job seeker at 14,22% of the total labor. The highest business unit of small industries in Tegal is salted fish industry. The research uses multiple linear regression (Ordinary Least Square) to analyze the effect of wages, productivity, and working capital for recruitment of worker on salted fish industry in Tegal. The results showed the influence wages to the recruitment of worker obtained t value at -0,717< t table 1,671, it’s indicate that the wages have negative effect on recruitment of worker. The result significance test at 0,476 ˃ 0,05 (α = 5%), it’s shows that wages have no significant effect on the recruitment of worker. The results showed the influence productivity to the recruitment of worker obtained t value at -8,148 > t table 1,671, it’s indicate that the productivity have negative effect on recruitment of worker. The result significance test at 0,000 < 0,05 (α = 5%), it’s shows that productivity have significant effect on the recruitment of worker. The results showed the influence working capital to the recruitment of worker obtained t value at 13,698 > t table 1,671, it’s indicate that the working capital have positive effect on recruitment of worker. The result significance test at 0,000 < 0,05 (α = 5%), it’s shows that working capital have significant effect on the recruitment of worker. The simultaneous test result showed that F value 128,454 > F table 2,76 with significance at 0,000 < 0,05 (α = 5%), it’s mean that wages, productivity, and working capital have simultaneously significant effect on the recruitment of worker.

Analysis Of The Determinants Of Electrical Energy Consumption In The Period Of 2017 – 2023 (Case Study Of Provinces In Indonesia) Siti Naeni Nur Khaeni; Hastarini Dwi Atmanti
Finance : International Journal of Management Finance Vol. 2 No. 2 (2024): December
Publisher : Publikasi Inspirasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62017/finance.v2i2.65

The purpose of this study is to examine the variables influencing Indonesia's electrical energy consumption from 2017 to 2023. Utilising secondary data from Central Bureau of Statistics of Indonesia and State Electricity Company (PLN) for the years 2017– 2023, quantitative research using a regression analysis approach is the study methodology employed. The population, income per capita, information technology development index, and human development index are the independent variables in this study. The population, human development index, and per capita income all had a significant impact on the amount of electrical energy used, according to the findings. In the meanwhile, there is a slight but negative impact from the information technology development index. Together, the independent factors can account for 88.6% of the fluctuation in Indonesia's electrical energy usage. According to the study's findings, increasing electrical energy.

Analisis Ketimpangan Pendapatan di Indonesia Periode 2017-2023 (Studi kasus 34 Provinsi di Indonesia) Haidar Akhmad Al Barabasi; Hastarini Dwi Atmanti
JURNAL EKONOMI BISNIS DAN MANAJEMEN Vol. 3 No. 1 (2025): Januari
Publisher : CV. ALIM'SPUBLISHING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59024/jise.v3i1.1097

This research examines the analysis of the influence of income inequality in a case study of 34 provinces in Indonesia for the 2017-2024 period. The method in this research uses panel data regression analysis, with secondary data obtained from BPS. In partial research results, the unemployment rate and poverty rate variables have a positive effect. significant to income inequality, while the variables HDI and Open Investment have a negative effect on income inequality, simultaneously the Unemployment Rate, HDI, Poverty Level and Open Investment together or simultaneously have a significant effect on income inequality.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59024/jise.v3i1.1097

Dampak Keterbukaan Perdagangan terhadap Indeks Kinerja Lingkungan OECD Etma Puji Setyowati; Hastarini Dwi Atmanti
JURNAL RUMPUN MANAJEMEN DAN EKONOMI Vol. 2 No. 1 (2025): Januari
Publisher : CV. KAMPUSA AKADEMIK PUBLISHING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61722/jrme.v2i1.3777

Penelitian ini menganalisis pengaruh keterbukaan perdagangan terhadap indeks kinerja lingkungan di negara-negara OECD secara empiris. Data yang digunakan berupa data panel dari 38 negara anggota OECD selama delapan tahun. Penelitian ini menerapkan metode regresi data panel, dengan Random Effect Model (REM) terpilih sebagai model terbaik. Hasil analisis menunjukkan bahwa keterbukaan perdagangan, energi, teknologi, dan jumlah penduduk memiliki pengaruh positif dan signifikan terhadap indeks kinerja lingkungan. Temuan ini menegaskan pentingnya peran perdagangan internasional, penggunaan energi, kemajuan teknologi, dan dinamika demografi dalam meningkatkan kinerja lingkungan di negara-negara OECD. Penelitian ini memberikan kontribusi pada pemahaman hubungan antara faktor ekonomi dan lingkungan, serta implikasinya terhadap kebijakan pembangunan berkelanjutan di tingkat global.

Pelatihan Pengenalan SFA (Stochastic Frontier Analysis) Dengan Software Frontier 4.1c di Fakultas Ekonomi dan Bisnis Universitas Trunojoyo Madura Hastarini Dwi Atmanti; Crisanty Sutristyaningtyas Titik; Ris Yuwono Yudo Nugroho
Beujroh : Jurnal Pemberdayaan dan Pengabdian pada Masyarakat Vol. 3 No. 1 (2025): Beujroh : Jurnal Pemberdayaan dan Pengabdian pada Masyarakat
Publisher : Yayasan Sagita Akademia Maju

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61579/beujroh.v3i1.377

This community service aims to provide training for students and lecturers of the Faculty of Economics and Business, Universitas Trunojoyo Madura, specific training on using the Frontier 4.1c software. The software is used to analyze problems related to efficiency measurement using a stochastic approach, commonly referred to as SFA (Stochastic Frontier Analysis). The training is conducted online. The participants are equipped with knowledge of production theory, basic SFA theory, inputting data and the running of the data, as well as result interpretation. The method used in this community service is EAR (Educational Action Research) to address the issue of participants' lack of understanding of SFA. This training benefits participants, most of whom are students, by providing them with proficiency in using software for efficiency measurement using the stochastic (SFA) approach.

Pelatihan Pilah Sampah pada Guru PAUD (Pendidikan Anak Usia Dini) yang Tergabung dalam Gugus Abimanyu dan Gugus Banowati Kota Semarang Hastarini Dwi Atmanti; Tri Wahyu Rejekiningsih; Aris Anwaril Muttaqin; Rifaldi Majid; Novita Mukti Rinusara
Jurnal Pengabdian Masyarakat Indonesia Sejahtera Vol. 4 No. 1 (2025): Maret: Jurnal Pengabdian Masyarakat Indonesia Sejahtera
Publisher : STAI YPIQ BAUBAU, SULAWESI TENGGARA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59059/jpmis.v4i1.2137

The purpose of this community service project is to train kindergarten teachers who belong to the Abimanyu and Banowati groups in waste sorting. The Community Based Participatory Research (CBPR) approach is used to carry out community service. Using this approach, kindergarten teachers and researchers work together to teach kids how to sort waste. Since waste sorting is a novel approach to waste management, it needs to be promoted and established in society, particularly among students. Most of the kindergarten teachers who took part in the program had never instructed their kids in waste sorting. Teachers of kindergarten received instruction on how to segregate waste in bins with red, yellow, and green lids. Kindergarten teachers can more easily teach sorting bins with colored lids to their kids. By imparting good values linked to teaching discipline, upholding cleanliness, and recognizing the health of their pupils, waste sorting training helps kindergarten teachers understand the significance of waste sorting.

Economic and Technological Determinants of Transportation Sector Performance in Indonesia: A Panel Data Approach (2020–2024) Etma Puji Setyowati; Hastarini Dwi Atmanti
Finance : International Journal of Management Finance Vol. 2 No. 4 (2025): June
Publisher : Publikasi Inspirasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62017/finance.v2i4.88

This research analyzes the impact of economic and technological factors on the performance of the transportation sector in Indonesia using a panel data approach across 34 provinces during the period 2020–2024. The independent variables include the inflation rate, realization of transportation investment, and the regional digitalization index (EVDCI), while the dependent variable is the growth rate of the transportation sector. The estimation method uses panel data with a Fixed Effect Model (FEM) approach. The estimation results show that inflation and the realization of transportation investment have a positive and significant impact on the performance of the transportation sector, indicating that in the context of post-pandemic economic recovery, the increase in economic activity reflected by inflation and the realization of transportation investment also drives the demand for transportation services, while digitalization does not show a significant impact. These findings critique the short-term effectiveness of the digitalization program, which has not yet been fully functionally integrated into the national transportation system. This research emphasizes the importance of more targeted and region-based policy planning in strengthening the synergy between macroeconomic policies and the digital transformation of the transportation sector.

Analisis Dinamika Penetapan UMK: Peran Ekonomi dan Sosial di Sumatera Selatan Periode 2020 – 2024 Haidar Akhmad Al Barabasi; Hastarini Dwi Atmanti
JURNAL RUMPUN MANAJEMEN DAN EKONOMI Vol. 2 No. 4 (2025): Juli
Publisher : CV. KAMPUS AKADEMIK PUBLISHING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61722/jrme.v2i4.5202

This study analyzes the dynamics of minimum wage determination (UMK) in South Sumatra from 2020 to 2024, emphasizing the role of economic and social indicators. Utilizing panel data regression with the Fixed Effect Model (FEM), the study investigates the influence of open unemployment rate, Human Development Index (HDI), labor force participation rate, Gross Regional Domestic Product (GRDP), and poverty rate on the determination of district/city minimum wages. The findings reveal that HDI has a positive and significant effect on UMK, indicating that improved human development supports higher wage standards. Conversely, the open unemployment rate and poverty rate negatively and significantly affect UMK, suggesting that socioeconomic vulnerabilities limit local governments' capacity to increase wages. Meanwhile, labor force participation and GRDP are not statistically significant. These results underscore the complexity of wage policy formulation, which must balance worker welfare and economic resilience at the regional level. The study offers relevant policy implications for equitable wage setting through human capital development and poverty reduction strategies.

Co-Authors Aris Anwaril Muttaqin Crisanty Sutristyaningtyas Titik Diah Nur Fadliilah Etma Puji Setyowati Haidar Akhmad Al Barabasi Majid, Rifaldi Novita Mukti Rinusara Nurul Laily Luthfiani Ris Yuwono Yudo Nugroho Siti Naeni Nur Khaeni Tri Wahyu Rejekiningsih Tri Wahyu Rejekiningsih

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