Article Per Year (5 Year)
p-Index From 2020 - 2025
1.383
P-Index
This Author published in this journals
All Journal Jurnal Ilmu Lingkungan Journal The Winners Jurnal Ekonomi Pembangunan: Kajian Masalah Ekonomi dan Pembangunan BAREKENG: Jurnal Ilmu Matematika dan Terapan Jurnal Statistika dan Aplikasinya International Journal of Business, Law, and Education Jurnal Ekonomi dan Pembangunan Indonesia Parameter: Jurnal Matematika, Statistika dan Terapannya
Bagus Sumargo, Bagus
Staf pengajar FMIPA, UBiNus, Jakarta dan Peneliti BPS
Agriculture, Biological Sciences & Forestry Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Energy Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Neuroscience Physics Social Sciences Transportation Other

Published : 13 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 13 Documents
Search

 1   2 
Perkembangan Teori Sewa Tanah dalam Perspektif Pemikiran Ekonomi Sumargo, Bagus
Journal the Winners: Economics, Business, Management, and Information System Journal Vol 3, No 2 (2002): The Winners Vol. 3 No. 2 2002
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/tw.v3i2.3850

Abstract

A history of Land Rent Theorities have several opinions, as mazhab of Physiocratic, classical tradition, and new.  The different opponions can be understanding for knowing two factors that land value increasingly location to central bussines and fertile soil.
Mengartikulasikan Tabel Input-Output dan Kerangka Analisisnya Cahyono, Budi; Sumargo, Bagus
Journal the Winners: Economics, Business, Management, and Information System Journal Vol 6, No 1 (2005): The Winners Vol. 6 No. 1 2005
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/tw.v6i1.485

Abstract

Input -Output (I-O) table can be used to analyse economic projection and present some service and good transactions in production activities, final demand, and bruto added value (BAV). I-O table can help to analyse government policy, such as impact analysis to output, bruto added value, and worker needed.
Pendidikan Bisnis, Bisnis Pendidikan Sumargo, Bagus
Journal the Winners: Economics, Business, Management, and Information System Journal Vol 5, No 2 (2004): The Winners Vol. 5 No. 2 2004
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/tw.v5i2.3855

Abstract

The implication of educations decentralization implies that colleges have authority to manage the whole education process. Nevertheless, the education have to be conducted professionally. The colleges should determine one study program having  business oriented. Therefore, the education is driven into business purposes.
Linkages between Economic Growth, Poverty and Environmental Quality in Indonesia Sumargo, Bagus; Haida, Rahadita Nur
Jurnal Ekonomi Pembangunan: Kajian Masalah Ekonomi dan Pembangunan Vol 21, No 1 (2020): JEP 2020
Publisher : Muhammadiyah University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/jep.v21i1.8262

Abstract

The biggest obstacle to sustainable development in Indonesia is due to social-environmental factors. The objective of this study is to identify lever variables in the intended socio-environmental factors through dimensional analysis in sustainable development. By using the path analysis methods and secondary data on economic growth, the number of poor people and an index of environmental quality in Indonesia, 2016, it can be proven that poverty has a direct negative effect on environmental quality. This makes it possible to occur in the rural poverty typology because their needs for life depend on natural resources. Therefore, poverty reduction policies should be prioritized in reducing the number of poor people in rural areas.
Deprivasi Utama Kemiskinan Multidimensi Antarprovinsi di Indonesia Sumargo, Bagus; Simanjuntak, Naomi Miduk M.
Jurnal Ekonomi dan Pembangunan Indonesia Vol. 19, No. 2
Publisher : UI Scholars Hub

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

So far poverty alleviation policies are still oriented to the monetary approach, while poverty is multidimensional, this means that multidimensional poverty is defined as the condition of the lack of all existing poverty indicators. This study finds the main deprivation of poverty indicators in each province in Indonesia, so that poverty alleviation programs can be directed and more in line with the main deprivation needs of poverty in an area. Using the data of the National Socio-Economic Survey (Susenas 2014) and Alkire-Foster’s multidimensional poverty measurement method, and with 12 indicators in three dimensions (health, education, and living standards), found that a priority scale of poverty alleviation assistance required by all provinces in Indonesia based on deprivation primarily a relief program that deals with old school problems and immunizations, except in Maluku province is a birth attendant and in Papua is a literacy issue.
Sebuah Alternatif: Better Life Index sebagai Ukuran Pembangunan Multidimensi di Indonesia Pratomo, Dody; Sumargo, Bagus
Jurnal Ekonomi dan Pembangunan Indonesia Vol. 16, No. 2
Publisher : UI Scholars Hub

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The purpose of this study is to get value-BLI Better Life Index as a measure of multidimensional development in Indonesia, and to analyze the relationship between BLI with the human development index HDI, regional development index IPR, and economic growth. BLI formation method through three stages: normalization, weighting, and aggregation. The results show that Indonesia’s BLI is in the lower-middle class. Province of Jakarta, East Kalimantan, North Sulawesi, Riau and South Sumatra with the highest value of BLI. BLI size has a positive and significant correlation with IPM and IPR compiled by the BPS-Statistics Indonesia. However, BLI was a negative and significant correlation with economic growth.
Clustering Municipality of Dengue Hemorrhagic Fever Typologies in Central Java Erdien, Fareka; Sumargo, Bagus; Nazhiifah, Nisriina; Kirana, Siti Julpia; Siregar, Dania; Mulyono
Jurnal Statistika dan Aplikasinya Vol. 8 No. 1 (2024): Jurnal Statistika dan Aplikasinya
Publisher : Program Studi Statistika FMIPA UNJ

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/JSA.08108

Abstract

Cases of dengue hemorrhagic fever (DHF) generally occur in areas with high temperatures. Central Java Province, Indonesia is one of the regions that has high temperatures, making it vulnerable to dengue cases. The study aimed at grouping DHF endemic areas in Central Java needs to be done to assist the government in determining policies to control or prevent DHF. The cluster analysis method used in this study is Average Linkage. The results showed that there were 3 clusters formed. Cluster A is a cluster with the characteristics of having the highest average percentage of households that have access to safe drinking water. Cluster B is the cluster with the highest average number of protected springs. While cluster C is dominant in 4 factors with the highest average, namely the percentage of households that behave in a clean and healthy life, the percentage of healthy homes, the number of Polindes (Village Maternity Hut), and the percentage of households that have access to proper sanitation. Clusters A and B are clean water type and Cluster C is a sanitation type, where clean water and sanitation are both indicators of environmental health. Therefore, environmental health is closely related to the presence of dengue fever in a community environment. The determination of three clusters was based on the chosen method and criteria. Other methods or criteria might suggest a different optimal number of clusters. The findings are specific to Central Java Province and may not be generalizable to other regions with different environmental and social contexts. In this case, it is necessary to pay attention to the community for environmental health in order to overcome or prevent the occurrence of DHF. where clean water and sanitation are both indicators of environmental health. Therefore, environmental health is closely related to the presence of dengue fever in a community environment.
Factor Analysis of Dengue Hemorrhagic Fever Nazhiifah, Nisriina; Sumargo, Bagus; Erdien, Fareka; Kirana, Siti Julpia; Rahayu, Widyanti; Mulyono
Jurnal Statistika dan Aplikasinya Vol. 8 No. 1 (2024): Jurnal Statistika dan Aplikasinya
Publisher : Program Studi Statistika FMIPA UNJ

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/JSA.08107

Abstract

Dengue Hemorrhagic Fever (DHF) is a disease caused by the dengue virus. DHF cases have always been a serious problem every year in Central Java. This study aimed to determine the factors that cause Dengue Hemorrhagic Fever (DHF) in the province of Central Java because cases of DHF in the region become a serious problem every year. The method used for this research is Principal Component Analysis and Factor Analysis using secondary data from the Central Java Provincial Health Office in 2018. The results of the analysis show that 3 factors are causing DHF, namely the population participation factor in health, sanitation factors, and clean drinking water factors. This shows the importance of environmental education to increase population awareness in terms of healthy living and local government intervention is needed in environmental health projects, namely sanitation and clean drinking water This research only uses seven variables that are considered relevant, other variables that may also have an influence are not included in this analysis. This research focuses on a particular year that shows a decreasing trend in cases. This approach offers a fresh and distinct perspective on understanding the dynamics of dengue fever and the factors that contribute to its reduction.
Measuring Well-Being Index with Environmental in Mind: Evidence Forest Land Use in Indonesia Wahyuni, Krismanti Tri; Purwanto, Agung; Sumargo, Bagus; Sitorus, Agnes Vera Yanti; Kurniawan, Robert; Nugroho, Yoga Dwi; Syaifudin, Syaifudin
International Journal of Business, Law, and Education Vol. 5 No. 2 (2024): International Journal of Business, Law, and Education
Publisher : IJBLE Scientific Publications Community Inc.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56442/ijble.v5i2.873

Abstract

This project aims to create an objective composite wellbeing index from the point of view of the whole by using a complete welfare methodology and suggested weightings to take into account the differences between the components. Forestry total productivity (TFP) was also compared because of the importance of the environmental component in preparing the well-being index. This study examined 64 social, economic, environmental, and institutional indicators from the BPS-Statistics Indonesia, the Ministry of Environment and Forestry, and the National Disaster Management Agency. Three primary analysis elements were highlighted in this investigation. First, PCA created a weighted index of eleven important domains. Second, it creates a well-being index model for Indonesia's environmental sustainability. Third, comparing forestry's environmental dimension to its TFP. This study found that the Indonesian wellbeing model under construction weighs environmental quality, living conditions, including housing, and happiness. Indonesia's disaster-prone locations make environmental quality important, unlike other wellbeing indices. Forest degradation has decreased the composite wellbeing index, notwithstanding other socio-economic improvements. This study stands out from past research by being the first to compare the environmental dimension with forestry total factor productivity (TFP). Deforestation significantly affects the well-being index in Indonesia.
Detection of Factors Affecting Rainfall Intensity in Jakarta Sumargo, Bagus; Handayani, Dian; Lubis, Alvi Pauziah; Firmasyah, Irman; Wulansari, Ika Yuni
Jurnal Ilmu Lingkungan Vol 23, No 1 (2025): January 2025
Publisher : School of Postgraduate Studies, Diponegoro Univer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jil.23.1.133-140

Abstract

The increased intensity of rainfall is becoming one of the most pressing climate-related issues in many parts of the world. Detecting the factors that affect rainfall intensity requires a combination of modern technologies, such as weather satellites, radar systems, and advanced atmospheric models. Extreme conditions (outliers) often occur. This study aims to model data that is not symmetric or contains outliers. This study examines and models quantile regression on daily rainfall intensity in Jakarta which has extreme rainfall events. The results of the study found that the extreme values in the daily rainfall intensity data in Jakarta are outliers and the assumptions on modeling using linear regression are not satisfied so that the characteristics of the parameter estimator based on OLS do not have BLUE characteristic. In modeling with quantile regression using six quantiles 0.25, 0.50, 0.75, 0.95, 0.99, and 0.9999 with consideration of these quantile values representing all parts of the data distribution including extreme values, it was found that the factors affecting rainfall intensity in Jakarta are different in each rainfall intensity condition. The best model is shown by quantile 0.999 with a coefficient of determination of 58.21%. Based on the best model, it is known that the factors affecting extreme rainfall are maximum temperature, dew point temperature, air humidity, wind speed, air pressure, and length of irradiation. This study indicates that quantile regression can provide a more detailed insight into how these variables affect rainfall intensity in various rainfall conditions ranging from low rainfall to extreme rainfall.
Co-Authors Agung Purwanto Asikin, Munawar budi Cahyono Dian Handayani Erdien, Fareka Firmasyah, Irman Haida, Rahadita Nur Hilmianto, Rizky Irman Firmansyah Kadir Kadir Kirana, Siti Julpia Lubis, Alvi Pauziah Mulyono Mulyono Mulyono Nazhiifah, Nisriina Nilam Novita Sari Nugraha, Asep Anwar Nugroho, Yoga Dwi Nuriza, Felia Aidah Pratomo, Dody Rahayuningsih, Yuliana Robert Kurniawan, Robert Safariza, Dena Simanjuntak, Naomi Miduk M. Siregar, Dania Sitorus, Agnes Vera Yanti Syaifudin Syaifudin, Syaifudin Umbara, Danu Vera Maya Santi Wahyuni, Krismanti Tri Widyanti Rahayu Wulansari, Ika Yuni