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All Journal JURNAL SISTEM INFORMASI BISNIS Sistemasi: Jurnal Sistem Informasi JOIV : International Journal on Informatics Visualization
Ma'arifah, Windiya
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Computer Science & IT Economics, Econometrics & Finance Electrical & Electronics Engineering

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Journal : JURNAL SISTEM INFORMASI BISNIS

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Sistem Pendukung Keputusan Berbasis K-Means untuk Evaluasi Keberhasilan Bisnis dan Nilai Perusahaan Sarmini, Sarmini; Ma'arifah, Windiya; Tahyudin, Imam
Jurnal Sistem Informasi Bisnis Vol 14, No 4 (2024): Volume 14 Nomor 4 Tahun 2024
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21456/vol14iss4pp363-374

Abstract

Business development is in line with the development of increasingly sophisticated technology. This requires every company to compete and be motivated to increase its value as an indicator of success in managing the company so that investors are interested in investing. This study aims to design a K-means-based Decision Support System with a clustering approach to classify the growth rate of company value. Investment Opportunity Set (IOS) and profitability variables are the leading indicators of increasing company value. The problem formulation is how the design of this K-means-based decision support system can assist in classifying the growth rate of the company's value based on the IOS and profitability variables. This research aims to produce a decision support system that can organize the growth rate of company value using the K-means method. System testing is conducted to evaluate the effectiveness of the applied clustering method, focusing on the accuracy of the results. The weighting of IOS and profitability variables is based on the percentage of positive relationship to firm value, and the ultimate goal is to group companies with different growth rates. As a result, the K-means-based Decision Support System, or "Business Growth Prediction Decision Support System," successfully clustered the growth rate of firm value. With reasonable accuracy, measured using the silhouette coefficient, the calculation results show an overall mean silhouette coefficient of 0.684, close to the maximum value of 1. This result confirms that this decision support system can group companies in the L (Low), M (Medium), and H (High) categories based on the level of value growth, using the IOS and profitability variables as the leading indicators. Thus, this research supports decisions related to company growth strategies using K-means-based decision support systems.
Penilaian Information Technology Service Management Sistem Akademik pada Domain Service Operation dengan Pendekatan Framework ITIL V3 Tarwoto, Tarwoto; Ma'arifah, Windiya; Sarmini, Sarmini
Jurnal Sistem Informasi Bisnis Vol 14, No 3 (2024): Volume 14 Nomor 3 Tahun 2024
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21456/vol14iss3pp200-209

Abstract

Information Technology utilization is vital in designing information systems to support business success. Thus, information technology governance becomes very important to produce information systems that are by the vision and mission of higher education institutions. As a technology-based university, Amikom Purwokerto University provides an Academic System to facilitate various academic and non-academic student services. This research was conducted to evaluate the Academic System services of Amikom Purwokerto University with a focus on operational aspects, especially in the Service Operation domain with subdomains request fulfillment process and incident management process. The services provided by the Academic System positively impact students and related parties. Still, there is often a connection failure problem on the server caused by inadequate operations and server overload. This research uses the Information Technology Infrastructure Library Version 3 (ITIL-V3) Framework, specifically the Service Operation subdomain, to assess and improve the maturity level of IT service management. This research found that the Academic System is at level 4 (managed) through maturity level calculations, showing efficiency in work processes and incident handling. By implementing recommended improvements to the request fulfillment and incident management process, this research aims to increase the IT service maturity level towards level 5 (optimized), reflecting the highest level of maturity and excellence. In conclusion, these improvements will deliver maximum value to the business and users, ensuring that Academic Systems executes processes and continues to implement improvements and innovations to remain relevant and high-performing in a dynamic environment.
Co-Authors Imam Tahyudin Sarmini Sarmini Tarwoto, Tarwoto