Article Per Year (5 Year)
p-Index From 2020 - 2025
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This Author published in this journals
All Journal Jurnal Mirai Management Budapest International Research and Critics Institute-Journal (BIRCI-Journal): Humanities and Social Sciences
Togar Alam Napitupulu
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Religion Arts Humanities Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Social Sciences

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Adapting Covid-19 Pandemic by Motorcycle Dealership Digitization Andrew Turmawan; Togar Alam Napitupulu
Budapest International Research and Critics Institute-Journal (BIRCI-Journal) Vol 5, No 2 (2022): Budapest International Research and Critics Institute May
Publisher : Budapest International Research and Critics University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33258/birci.v5i2.5421

Abstract

Pandemic Covid-19 had brought major challenges regarding motorcycle market downturn and have-to-pay operational cost in 2020. Therefore, digitizing motorcycle dealership process is one of the strategies to improve the competitive advantage in motorcycle business. Such high investment regarding implementing information system were done by the biggest automotive players in Indonesia to achieve better cost efficiency. To evaluate the outcome of investment effectiveness, Information Economics combine with a time-motion study-workload analysis was used to analyze not only tangible benefit, but also quasi tangible and intangible benefits in hundreds of motorcycle network, involving leader, team, and front-line people in multiregional of Indonesia. Information Economics combine with workload analysis using Full Time Equivalent is used to measure the efficiency impact in organization resource after implementing the information system. The case study is proving that the investment valuation of an implemented information system should not see ROI (Return on Investment) as the only benefit, but organization workload, strategic and competitive advantage through the market competitiveness is very beneficial for business. Therefore, both financial and non-financial impact should be evaluated to have better perspective of investment.   
Analysis of the Successful Implementation of SAP Business One in PT. P.R. Indonesia Riszkey Leonardo; Togar Alam Napitupulu
Budapest International Research and Critics Institute-Journal (BIRCI-Journal) Vol 5, No 3 (2022): Budapest International Research and Critics Institute August
Publisher : Budapest International Research and Critics University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33258/birci.v5i3.6869

Abstract

Along with the development of information technology, more companies will need to apply information technology to their operations, especially for data processing. One of the applications of information technology is through Enterprise Resource Planning (ERP) systems such as SAP Business One. The SAP Business One system is an affordable ERP for SMEs that can be integrated into every business process and tends to be easy to use. PT. P.R. Indonesia has been implementing the SAP Business One system for 2 years but they still faced some obstacles such as bugs, error messages that cannot be understood by the user, reports generated by the system that require customization, and recommendation information that does not address the user's wants. The obstacles experienced by PT. P.R. Indonesia has prompted an analysis regarding the success of ERP implementation at PT. P.R. Indonesia. To measure and determine the success of the implementation of an information system, the determinants of successful implementation need to be analyzed. Thus, this study used the Structural Equation Modeling (SEM) method to analyze data. The SmartPLS software version 3.3.9 was used to process the data. Based on the calculations, the factors that contribute the most are implementation with the Accelerated Implementation Program (AIP) method with a value of 0.734, the Business Process Reengineering (BPR) factor with a value of 0.326, and the Vendor Support (DV) factor of 0. 354.  
Co-Authors Andrew Turmawan Rindu Yuna Putri Riszkey Leonardo