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Journal : International Journal of Management Science and Application

A SWOT (Strength Weakness Opportunity and Threat) Analysis as a Strategy to Enhance Competitiveness Moh Mardiyana; M Ihsan; Adrial Adrial; Hufrizatul Parida; Syahril Sidiq; Taufik Hidayat
International Journal of Management Science and Application Vol. 1 No. 1 (2022): ijmsa
Publisher : Sultan Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (641.888 KB) | DOI: 10.58291/ijmsa.v1i1.8

Abstract

This study aims to determine how an analysis of Strengths, weaknesses, and opportunities, and threat is used as a strategy to increase competitiveness and its obstacles in Denpasar Sharia Rural Banks. The research method used was a quantitative approach in the form of case studies descriptive. The SWOT analysis used is the analytical method descriptive, SWOT Matrix, and SWOT diagram analysis. Data collection techniques in this study are interviews and literature. The results showed that the SWOT analysis as a strategy to increase competitiveness needs to be re-evaluated, so that good performance is formed from within and from outside the organization.
The Effect of Covid-19 on Increasing E-Commerce Sales in Various Fields Taufik Hidayat; Yasep Azzery
International Journal of Management Science and Application Vol. 1 No. 2 (2022): ijmsa
Publisher : Sultan Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58291/ijmsa.v1i2.125

Abstract

The Covid-19 pandemic forced the government to implement activity restriction obligations starting in March 2020. Even though Covid-19 paralysed physical activity, on the other hand, this has also made online sales increase sharply. According to the report "Big Data Review of the Impact of Covid-19 2020" compiled by the Central Statistics Agency (BPS), online sales during this pandemic actually jumped sharply when compared to sales in January 2020. In March 2020, online sales jumped 320 % of total online sales at the beginning of the year. The spikes are getting sharper, April 2020 online sales recorded an increase of 480% from January 2020.
Strategic Scheduling of a Live Migration Virtual Machine using Machine Learning: A Review Taufik Hidayat; Parastoo Alaei Roozbahani
International Journal of Management Science and Application Vol. 4 No. 1 (2025): IJMSA
Publisher : Sultan Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58291/ijmsa.v4i1.387

Abstract

This paper discusses virtual machines (VM) and their use in server technology. This study focuses on the use of machine learning (ML) to schedule live migrations of VMs. The authors conducted a systematic literature review (SLR) to gather evidence of ML research in server migration. The study found that there is a lack of research in this area, and quantitative research can be conducted to explore the potential of ML in terms of server migration. The paper also presents a selection of paper criteria defined for the study, including the exclusion and inclusion criteria, quality assessment, and quantity assessment. The authors retrieved reliable and related papers using the definition of the paper selection criteria and keywords. The SLR method is not discussed in all papers, and the authors want to develop the title into SLR format to produce high-quality papers on live migration VM machine learning. The paper also includes a journal review that discusses the theory of graph team infra and the scheduling algorithm. The authors also present their research questions, which include the definition of virtual machine, live migration, and its application. The paper includes a list of references that discuss various aspects of VMs, including migration strategies, scheduling methods, and self- management of virtual network resources. The authors conclude that there is a need for further research in the area of ML in server migration, and quantitative research can be conducted to explore the potential of ML in this field.
Enhancing Network Security and Performance using DNS Sinkhole and QoS: A Practical ISO/IEC 27001:2022 Implementation Budi Wibowo; Taufik Hidayat; Andrie Yuswanto; Aji Nurrohman
International Journal of Management Science and Application Vol. 4 No. 2 (2025): IJMSA
Publisher : Sultan Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58291/ijmsa.v4i2.421

Abstract

This study aims to design and validate a low-cost network security model based on open-source solutions by integrating Pi-hole and Quality of Service (QoS) as a technical implementation of ISO/IEC 27001:2022 controls for resource-constrained organizations. The implementation results demonstrate a significant improvement in security posture by blocking 14.1% of malicious and irrelevant DNS queries, while simultaneously enhancing network performance by reducing critical application latency by 45%. The key advantage of this model lies in its cost efficiency and its dual benefits of improved security and optimized performance within a single framework. However, the study also identifies limitations, particularly the potential for false positives that require manual whitelist management and reliance on trained personnel to ensure operational sustainability. The main contribution of this research is the provision of a simple, cost-effective, and standards-compliant technical framework, while also introducing a mathematical formulation to assess the trade-offs between security, performance, and cost. Future directions include integrating Intrusion Detection/Prevention Systems (IDS/IPS) for layered Defense and replicating the model into a turnkey security appliance that can be widely adopted by other organizations facing similar challenges.