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The Influence of Interest Rates and Infrastructure on Domestic Investment in Banten Province Didi za, Didi Zainuddin; Ria, Anita; Widjajanto, Tulus
International Journal of Islamic Business and Management Review Vol. 3 No. 1 (2023)
Publisher : Asosiasi Dosen Peneliti Ilmu Ekonomi dan Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54099/ijibmr.v3i1.589

Abstract

This research is aimed at proving whether there is an influencing relationship between the independent variables (Interest Rates) and (Infrastructure) on the dependent variable (Domestic Investment). This research method uses panel data regression analysis by combining two data from time series with cross section. From the test results for individual correlations, it was found that the Interest Rate Variable correlation did not have a partial/individual significant effect on Domestic Investment (PMDN). While the Infrastructure Variable on Domestic Investment (PMDN) has a significant influence partially/individually.Furthermore, joint testing between all independent variables on the dependent variable. (Interest Rates and Infrastructure) together have a significant effect on the dependent variable Domestic Investment (PMDN). Based on this research, it illustrates that low bank interest rates and good infrastructure will be able to encourage increased domestic investment which will ultimately be able to increase GRDP, people's income and people's welfare in Banten province. Therefore the role of the government in terms of improving the quality of infrastructure, especially roads and intervention on interest rates (credit) will greatly assist domestic investors to become entrepreneurs.
Pengembangan Strategi Perusahaan Percetakan Dengan Pendekatan Bisnis Model Canvas Dalam Menghadapi Era Digital Rahman, Arif; Perdana, Surya; Widjajanto, Tulus
BULLET : Jurnal Multidisiplin Ilmu Vol. 3 No. 2 (2024): BULLET : Jurnal Multidisiplin Ilmu
Publisher : CV. Multi Kreasi Media

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Abstract

PT. XYZ is a printing company in Jakarta. The products produced by this company are newspapers, books, magazines, tabloids, brochures and also the Koran. In running its business, companies need the right strategy to be able to compete with competitors. The aim of this research is to develop a strategy for printing companies so they can survive in the digital era. The method used in this research is the Business Model Canvas approach. In this research, data was obtained from interviews with employees who work at the company PT. XYZ. The data obtained is then made into a business model on one canvas sheet which has nine key elements to analyze the company's business position. From the Business Model Canvas analysis, the printing business competition can be categorized as tight competition. Printing companies must improve the quality of their products and services to compete with other companies. Companies must also improve cost efficiency and enhance technological capabilities to increase their competitiveness. Companies must also improve their marketing capabilities to attract new customers and retain existing customers.
PKM Strategi Pemilihan Supplier Dengan Metode ANP Dan TOPSIS Pada PT. Delta Graha Makmur (Grha Delta) Wibisono, Deny; Rahman, Arif; Widjajanto, Tulus
BULLET : Jurnal Multidisiplin Ilmu Vol. 4 No. 4 (2025): BULLET : Jurnal Multidisiplin Ilmu (INPRESS)
Publisher : CV. Multi Kreasi Media

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Abstract

Delta Graha Makmur faces challenges in selecting steel plate raw material suppliers due to a manual system that focuses solely on price, resulting in 30% delivery delays, inconsistent quality, unreliable supplier dependency, as well as increased costs and production disruptions. This study aims to develop an ANP-TOPSIS-based supplier selection system to evaluate structured criteria such as quality, timeliness, price, and reliability. The objectives include: (1) formulating recommendations for the best suppliers with TOPSIS scores >0.8, (2) reducing production delays by 40% within three months post-implementation, and (3) developing a training module for the procurement team. The research method is carried out in four stages over 12 weeks: ANP modeling through interviews, performance data collection from five suppliers, TOPSIS analysis and simulation, as well as system implementation and training. The expected outcomes are improved supplier selection efficiency and reduced negative impacts on production.