Article Per Year (5 Year)
p-Index From 2021 - 2026
0.61
P-Index
This Author published in this journals
All Journal EKOMBIS REVIEW: Jurnal Ilmiah Ekonomi dan Bisnis Variance : Journal of Statistics and Its Applications SEMINAR NASIONAL PENELITIAN DAN PENGABDIAN KEPADA MASYARAKAT Economic Development Analysis Journal
Meilina Retno Hapsari
Universitas Gajayana Malang
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Energy Law, Crime, Criminology & Criminal Justice Mathematics Nursing Other

Published : 4 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 4 Documents
Search

 1 
Relationship of Macroeconomics Variables in Indonesia Using Vector Error Correction Model Meilina Retno Hapsari; Suci Astutik; Loekito Adi Soehono
Economics Development Analysis Journal Vol 9 No 4 (2020): Economics Development Analysis Journal
Publisher : Economics Development Department, Universitas Negeri Semarang, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/edaj.v9i4.38662

Abstract

This study aims to analyze the relationship between macroeconomic variables in Indonesia, namely GDP with money supply, exchange rate of rupiah to US Dollar, exports, imports and interest rates. The background problem is to analyze the best method to influence government targets or policies on economic growth by studying the relationship of macroeconomic variables. Previous studies analyzing the relationship between macroeconomic variables in Indonesia have used multiple linear regression analysis. Using VECM analysis we can find out the short-term and long-term effects on the relationship between macroeconomic variables in Indonesia. The analysis used in this study is the Vector Error Correction Model with Maximum Likelihood estimation. Based on the result, the cointegration test found that there is a long-term relationship. Based on the VECM model (3), in the short term there is a relationship between macroeconomic variables and in the long run there is a long-term causality relationship in the GDP and export models. It is expected that the Government and the Central Bank will work together cooperatively in making policies to keep control of the money supply, exchange rate of rupiah to US Dollar and interest rates to enable to stimulate the economy.
Panel Data Analysis With Mediating Variables In The Production Performance Model In Malang City Industry Meilina Retno Hapsari; Mitha Endah Aprilia; Maulana Abdul Rahman
EKOMBIS REVIEW: Jurnal Ilmiah Ekonomi dan Bisnis Vol 12 No 4 (2024): Oktober
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/ekombis.v12i4.5845

Abstract

The development of the industrial sector is able to provide a strategic role in the economy. One of the efforts made to improve industrial performance is to find out the factors that influence production performance in industry. This research has a purpose to determine the effect of number of workers and production quantity on production performance as seen from production value in Malang City Industry, where production quantity is a mediating variable. This research is quantitative research. This data source is secondary data from Malang City Industrial data. The samples in this research were small and medium industries in Malang City for several years. Based on the panel data analysis result with mediating variables, show the number of workers has a significant effect on the amount of production. The number of workers does not have a significant effect on production performance. The amount of production has a significant effect on production performance. The number of workers has a significant effect on production performance through the amount of production. Therefore, it is hoped that industrial leaders need to increase the number of workers so that production increases, and the increased production will increase the performance of industrial production in Malang City.
MULTIGROUP MODELING BASED PATH ANALYSIS ON PANEL DATA IN THE STUDY OF PRODUCTION PERFORMANCE IN SMALL AND MEDIUM INDUSTRIES IN MALANG Hapsari, Meilina Retno; Sa'diyah, Nur Kamilah
VARIANCE: Journal of Statistics and Its Applications Vol 7 No 1 (2025): VARIANCE: Journal of Statistics and Its Applications
Publisher : Statistics Study Programme, Department of Mathematics, Faculty of Mathematics and Natural Sciences, University of Pattimura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/variancevol7iss1page49-60

Abstract

This study aims to determine the effect of the number of workers on production performance through the amount of production between small and medium industries in Malang City. This study applies multigroup modeling based on path analysis on panel data on variables that affect industrial production performance in Malang and the application of the Hypothesis of Linear Parameter Function in the multigroup model, which is the second group. This data source is secondary data from Malang Industrial data. The sample in this study is all data from small and medium industries in Malang City over several years. The results showed that the Hypothesis of Linear Parameter Function can be applied to the two-group model, that is, in a medium industry, where three significant paths are obtained. In the small industry, there are two considerable paths. Based on the coefficient of total determination, the data diversity can explain the model of 96.0%. At the same time, the remaining 4.0% is affected by other variables. The small and medium industry model shows that the number of workers significantly affects production. The effect is greater in medium industries, which is 0.935, compared to small industries, which is 0.737.
Penguatan Prestasi OSN Matematika SMP dan SMA melalui Kolaborasi Guru dan Siswa: Studi pada SMA Sumber Putih Kabupaten Malang Solimun, Solimun; Hapsari, Meilina Retno; Mudjiono, Mudjiono; Lusiana, Evellin Dewi; Hidayat, Kamelia; Sianipar, Celia; Zahra, Septi Nafisa Ulluya
Seminar Nasional Penelitian dan Pengabdian Kepada Masyarakat 2025 Prosiding Seminar Nasional Penelitian dan Pengabdian Kepada Masyarakat (SNPPKM 2025)
Publisher : Universitas Harapan Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35960/snppkm.v4i1.1332

Abstract

This community service program was designed to enhance the achievement of the National Science Olympiad in Mathematics through collaboration between teachers and students in Malang Regency. The background of this program lies in the limited availability of structured coaching, insufficient intensive mentoring by teachers, and the lack of competition simulations that hinder students’ academic readiness and mental resilience. The objective was to strengthen teacher competence and prepare students more effectively for the demands of Olympiad-level competitions. The program was implemented through seminars for teachers, intensive classes for students, collaborative discussion forums, competition simulations, and continuous evaluation using statistical-based monitoring. The results showed that teachers developed stronger skills in designing innovative and systematic coaching strategies, while students demonstrated improved readiness in facing challenging problems and competition pressure. The program also fostered a collaborative and participatory learning ecosystem that supports sustainable academic development. In conclusion, this initiative contributed to improving the quality of mathematics education in Malang Regency and provided a replicable model for Olympiad coaching in other schools and regions.
Co-Authors Evellin Dewi Lusiana, Evellin Dewi Hidayat, Kamelia Loekito Adi Soehono Maulana Abdul Rahman Mitha Endah Aprilia Mudjiono Mudjiono, Mudjiono Sa'diyah, Nur Kamilah Sianipar, Celia Solimun, Solimun Suci Astutik Zahra, Septi Nafisa Ulluya