Rino Desanto Wiwoho
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The McKinsey Framework as an Analysis of Organizational Change Readiness: Public Service Agency State Polytechnic Rino Desanto Wiwoho; Hastuti, Farida Tri; Hernando, Hendrick; Thousani, Hifhzan Frima
International Journal of Health, Economics, and Social Sciences (IJHESS) Vol. 7 No. 2: April 2025
Publisher : Universitas Muhammadiyah Palu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56338/ijhess.v7i2.7048

Abstract

The transformation of state universities operating as work units (PTN-Satker) into state universities with public service agency status (PTN-BLU) is expected to enhance the quality of both academic and non-academic services. Consequently, this transformation will improve the performance of polytechnics, ultimately having a direct impact on students, society, and industry. The McKinsey 7S Framework is used to analyze organizational effectiveness through seven key elements: strategy, structure, systems, style, staff, skills, and shared values. These seven elements within the McKinsey 7S Framework play a crucial role in building strong organizational management. Organizational change is a process in which an organization transitions from its current state to a desired state to enhance its effectiveness. Throughout this transformation process, organizations inevitably face various challenges, obstacles, and constraints. This study utilizes the McKinsey 7S Framework to analyze an organization's readiness for change. This study was conducted by distributing questionnaires both online and offline to respondents comprising academic and administrative staff at PTN-BLU. 57 Respondents' responses were measured using a Likert scale ranging from one to seven. Data analysis was performed using simple linear regression with SPSS version 27 and tabulation with Microsoft Excel. The findings indicate that the McKinsey 7S Framework has a positive and significant influence on organizational change readiness, with a contribution of 71,8%. Furthermore, the results of the simple linear regression analysis produced the equation Y=-4.502+0.170., meaning that every one-unit increase in the McKinsey 7S Framework variable will be followed by a 0.170 increase in organizational change readiness.
Effect of Qris Digital Payments (Quick Response Code In-donesian Standard) On Students' Consumptive Behavior Madiun State Polytechnic Muh. Supriyanto; Rino Desanto Wiwoho; Srimiatun Srimiatun
Brilliant International Journal Of Management And Tourism Vol. 5 No. 3 (2025): October: Brilliant International Journal Of Management And Tourism
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/bijmt.v5i3.5748

Abstract

QRIS digital payment is a payment system via a QR code that users use when making a transaction. Digital payments that offer convenience for users do not always have a positive impact, but there are also negative impacts, one of which is consumer behavior. Consumptive behavior occurs due to the individual's tendency to buy things unplanned to fulfill desires without careful consideration in order to achieve satisfaction. The aim of this research is to determine the effect of QRIS digital payments on the consumer behavior of Madiun State Polytechnic students. This research uses quantitative methods with a type of causal research. The indicators used in this research include 5 indicators of digital payments according to Gosal and Linawati (2018) and 6 indicators of consumer behavior according to Sumartono 2002. The data collection technique used was a questionnaire with a sample of 97 people selected using purposive sampling. Instrument testing carried out includes validity tests, reliability tests and normality tests. The analytical method used is simple linear regression analysis and hypothesis testing using the t test. Data processing in the research was carried out using Microsoft Excel and SPSS. The research results show that QRIS digital payments influence consumer behavior with a significance value of 0.000. The ability of the QRIS digital payment variable to explain consumer behavior variables is 34.4% and the correlation value is 0.587.