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Analysis and Strategy for Heavy Equipment Rental Business Development Imran Yamin; Musran Munizu; Madris Iskandar
Hasanuddin Journal of Business Strategy Vol 3 No 3 (2021): Hasanuddin Journal of Business Strategy
Publisher : Magister Management, Hasanuddin University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26487/hjbs.v3i3.468

Abstract

Heavy equipment in construction projects, mining industry, agriculture are loaders, wheel loaders, piles, cranes, forklifts, dump trucks, excavators, dozers, boom lifts, truck-mounted cranes (TMC)/hyap cranes, soil compactors such as rollers and compactors, and others. This study aims to identify and evaluate the factors included in the company's internal and external environment as well as analyze and formulate a priority strategy for the development of the heavy equipment rental business in the services division of PT Kawasan Industri Makasasar (Persero)(KIMA). The research method used is a case study. The samples used are 10 samples consisting of 2 commissioners, 1 director, 3 division heads, 4 department heads. Data was collected using questionnaires and interviews, which are then analyzed using the matrix of IFE, EFE, TOWS, IE. The generating strategies from the matrixes are then evaluated using Quantitative Strategic Matrix Planning (QSPM) to provide a priority strategy for the company to grow in the coming future. Evaluation conducted from the matrix indicates that that the current company’s position is the cell of growth and build. In that cell, there are some intensive strategy options available that are market penetration, market development, product development. It also generates integrative-strategy options that are backward integration, forward integration, and horizontal integration. When evaluated the strategy choices using the QSPM matrix, the priority strategy obtained is to carry out an employee capacity development program, especially to operators in the form of service excellence training for customers and knowledge of the importance of occupational safety and health (K3) while at work field (STAS 6.74).
Determinant of Economic Growth Badriah Sappewali; Basri Hasanuddin; Madris Iskandar; Fatmawati Fatmawati
Hasanuddin Journal of Business Strategy Vol 4 No 2 (2022): Hasanuddin Journal of Business Strategy
Publisher : Magister Management, Hasanuddin University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26487/hjbs.v4i2.534

Abstract

Economic growth is an economic problem in the long run that is affected by many factors. The aim of the research is to analyze the influence of government spending, investment, and net export on economic growth in Indonesia either directly or indirectly through the absorption of the labor force. The data in the research were secondary data of time series data from 2001 to 2020. They were obtained from Indonesia Bank, Statistic Center Bureau, and Capital Investment Coordination Bureau through internet facilities and other sources, i.e. journals and the results of research. The data were analyzed by using structural equation modeling (SEM). The results of the research reveal that the government’s spending and investment directly have a positive and significant influence on economic growth in Indonesia. Meanwhile, net export indirectly has a positive and significant influence on economic growth in Indonesia through the labor force. This implies that the government’s spending, investment, and net export are effective to support the increased economic growth in Indonesia.
THE EFFECT OF GOVERNMENT INVESTMENT AND EXPENDITURES ON CITY POPULATION GROWTH IN SOUTH SULAWESI PROVINCE Nurul Awaliah; Madris Madris; Sabir Sabir
Jurnal Ekonomi Vol. 11 No. 03 (2022): Jurnal Ekonomi, 2022 Periode Desember
Publisher : SEAN Institute

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Abstract

This study aims to determine the effect of investment and government spending on urban population growth, both directly and indirectly through employment opportunities. This study uses panel data with 6 districts/cities in South Sulawesi Province for the 2010-2021 period. The analysis model used is Regression Analysis with SPSS software. The results of this study indicate that simultaneously investment and government spending affect the growth of the urban population. Likewise with investment, government spending, and employment opportunities simultaneously affecting the growth of the urban population. Partially, investment has a positive effect and government spending has a negative effect on urban population growth. Meanwhile, investment and government spending have a positive effect, but employment opportunities have a negative effect on urban population growth. As for the indirect effect, investment has a negative effect on urban population growth through employment opportunities and government spending has a positive effect through employment opportunities in urban areas of South Sulawesi Province.
The Decision Factors of Rural Part-Time Workers in Southeast Sulawesi: Characteristics and Determinants Wa Ode Hasmayuli; Samsu Arif; Madris
Jurnal Ilmiah Membangun Desa dan Pertanian Vol. 7 No. 6 (2022)
Publisher : Department of Agribusiness, Halu Oleo University Jointly with Perhimpunan Ekonomi Pertanian Indonesia - Indonesian Society of Agricultural Economics (PERHEPI/ISAE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (950.545 KB) | DOI: 10.37149/jimdp.v7i6.85

Abstract

This study aimed to analyze the characteristics and determinants of rural part-time workers in Southeast Sulawesi Province. This study focuses on the socio-demographic attribute that can influence a person to become a part-time worker. Part-time workers are part of non-full workers, which is considered not a problem. Part-time workers are absorbed in less decent jobs. Young age groups dominate them because they are less experienced in the complexities of job search, less intense in wage negotiations, less financially secure, and more vulnerable to psychological stress. Part-time workers are those who work below standard hours but are not looking for work and are not available for work. This study uses secondary data from the August 2021 National Labor Force Survey (Sakernas). Samples used in this study were 3,540 part-time workers spread throughout Southeast Sulawesi Province. Two thousand eight hundred six part-time workers are in rural areas, and 734 are in urban areas. In this study, the dependent variable is part-time workers. While the variables of age, gender, position in the household, marital status, education level, and field of business are independent. The analytical method used in this study is binary logistic regression. This study shows the characteristics of rural part-time workers are dominated by those of the primary working age, female, ordinary household members, married, low education, and working in the agricultural sector. Based on the determinants, part-time workers are more likely to occur in those of young working age, have ever-married status, those with middle and low education, and work in the agricultural sector. Efforts are needed to reduce part-time workers to improve their welfare.