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All Journal Multica Science and Technology Jurnal Malikussaleh Mengabdi Jurnal Solusi Masyarakat (JSM)
Mundzir Mundzir
Universitas Mulia
Religion Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Economics, Econometrics & Finance Education Energy Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Physics Social Sciences Other

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DEVELOPMENT OF A DECISION SUPPORT SYSTEM FOR STRATEGIC BUSINESS LOCATION SELECTION USING MOORA METHOD Riski Zulkarnain; Mundzir Mundzir; Sri Winar
Multica Science and Technology Vol 2 No 1 (2022): Multica Science and Technology
Publisher : Universitas Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47002/mst.v2i1.590

Abstract

The key to launching a successful business is securing a strategic location, as optimal results hinge on this crucial factor. Today, there are numerous potential business locations available, such as areas currently undergoing development or residential complexes in proximity to major highways. Considering these factors empowers businesses to make well-informed decisions about whether a particular location is truly strategic for their ventures. When business owners make location-related decisions, they must carefully assess several aspects, such as the size and dimensions of the building, the presence of competitors nearby, and the rental or selling prices. By evaluating these criteria, businesses can identify strategic locations and minimize the risks of potential losses when establishing their operations. Acquiring a strategic business location yields numerous advantages and significantly reduces startup losses. To achieve this, the research presented in this journal employs the MOORA (Multi-Objective Optimization on The Base Method of Ratio Analysis) research method, which serves as both a means to determine strategic business locations and a strategy for enhancing overall business performance.
PLANNING AND INFORMATION SYSTEM DEVELOPMENT STRATEGY USING THE WARD AND PEPPARD METHOD (A CASE STUDY OF CV XYZ) Ahmad Alfi Adianur Giansyah; Sumardi Sumardi; Mundzir Mundzir; Linda Fauziyah Ariyani
Multica Science and Technology Vol 2 No 2 (2022): Multica Science and Technology
Publisher : Universitas Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47002/mst.v2i2.630

Abstract

To remain competitive globally, businesses must adapt dynamically to changing trends. In response, the necessary action is to implement the use of information technology. While CV XYZ currently has an information system in place, only certain parts of the organization have adopted it, leaving others untouched. Data was gathered through interviews and observations to assess the business environment and the company's information system environment. This research employs the Ward and Peppard method, which includes SWOT analysis, Value Chain analysis, Porter's Five Forces analysis, and McFarlan's Strategic Grid analysis. The study provides strategic recommendations and examines the internal environment, the company's external information systems, and proposed information systems such as HRD information system, After Service information system, Supplier information system, customer service information system, administration information system, and promotion information system. In the McFarlan Strategic Grid mapping, all of these are deemed a priority and feasible for implementation.
Employing Fuzzy AHP in Modeling a Decision Support System for Determining Scholarship Recipients within the University Context Mundzir Mundzir; Riski Zulkarnain; Richki Hardi
Jurnal Malikussaleh Mengabdi Vol 2, No 2 (2023): Jurnal Malikussaleh Mengabdi Oktober 2023
Publisher : LPPM Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/jmm.v2i2.13344

Abstract

In the realm of university scholarship programs, the process of selecting deserving recipients presents a complex decision-making challenge. This study explores the integration of Fuzzy Analytical Hierarchy Process (AHP) into the modeling of a Decision Support System (DSS) aimed at facilitating the determination of scholarship awardees. The utilization of Fuzzy AHP enables a more comprehensive and nuanced evaluation of candidates by accommodating uncertainties and imprecisions inherent in the decision-making process. This research investigates the application of Fuzzy AHP within the specific context of university scholarship recipient selection. The proposed DSS framework not only enhances the objectivity and transparency of the decision-making process but also contributes to the optimization of resource allocation and the identification of candidates best aligned with the scholarship's objectives. By employing Fuzzy AHP in this decision-support context, universities can effectively address the intricate considerations involved in awarding scholarships, thereby promoting fairness and increasing the likelihood of rewarding the most deserving individuals.
Employing Fuzzy AHP in Modeling a Decision Support System for Determining Scholarship Recipients within the University Context Mundzir Mundzir; Riski Zulkarnain; Richki Hardi
Jurnal Solusi Masyarakat (JSM) Vol 1, No 2 (2023): Pengembangan Kelompok
Publisher : Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/jsm.v1i2.12586

Abstract

In the realm of university scholarship programs, the process of selecting deserving recipients presents a complex decision-making challenge. This study explores the integration of Fuzzy Analytical Hierarchy Process (AHP) into the modeling of a Decision Support System (DSS) aimed at facilitating the determination of scholarship awardees. The utilization of Fuzzy AHP enables a more comprehensive and nuanced evaluation of candidates by accommodating uncertainties and imprecisions inherent in the decision-making process. This research investigates the application of Fuzzy AHP within the specific context of university scholarship recipient selection. The proposed DSS framework not only enhances the objectivity and transparency of the decision-making process but also contributes to the optimization of resource allocation and the identification of candidates best aligned with the scholarship's objectives. By employing Fuzzy AHP in this decision-support context, universities can effectively address the intricate considerations involved in awarding scholarships, thereby promoting fairness and increasing the likelihood of rewarding the most deserving individuals.
Co-Authors Ahmad Alfi Adianur Giansyah Linda Fauziyah Ariyani Richki Hardi Riski Zulkarnain Sri Winar Sumardi Sumardi