Munawar Munawar
Esa Unggul University

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Risk Management in Software Development Projects: A Systematic Literature Review Marzuki Pilliang; Munawar Munawar
Khazanah Informatika Vol. 8 No. 2 October 2022
Publisher : Department of Informatics, Universitas Muhammadiyah Surakarta, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/khif.v8i2.17488

Abstract

Risk Management is an integral part of every project. Risk management must estimate the risks’ significance, especially in the SDLC process, and mitigate those risks. Since 2016, many papers and journals have researched planning, design, and risk control in software development projects over the last five years. This study aims to find the most exciting topics for researchers in risk management, especially in software engineering projects. This paper takes a systematic approach to reviewing articles containing risk management in software development projects. This study collects papers and journals included in the international online library database, then summarizes them according to the stages of the PICOC methodology. This paper results in the focus of research in the last five years on Agile methods. The current issue is that many researchers are trying to explicitly integrate risk management into the Agile development process by creating a comprehensive risk management framework. This SLR helps future research get a theoretical basis to solve the studied problem. The SLR explains the focuses of previous research, analysis of research results, and the weaknesses of the investigation. For further study, take one of the topic papers, do a critical review, and find research gaps.
Studi Komparasi Kerangka Kerja Manajemen Risiko dalam Scrum Marzuki Pilliang; Munawar Munawar; Budi Tjahjono
Jurnal Informatika Universitas Pamulang Vol 7, No 2 (2022): JURNAL INFORMATIKA UNIVERSITAS PAMULANG
Publisher : Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/informatika.v7i2.17468

Abstract

Risk management in software engineering projects describes an integrated design with methods, processes, and artifacts that continuously identify, analyze, control, and monitor risks, to prevent the project from failing. Agile methodology is an alternative to the traditional sequential software development process. Scrum is the most frequently used method based on the 2016 Agile development survey results. In recent years, there have been many studies that have produced a risk management framework for Scrum. However, risk analysis and the selection of responses to risks become a burden for stakeholders, so a framework is needed that can become a support system to help make decisions. This paper uses a comparative study of risk management framework literature and literature that utilizes tools for risk management. The research resulted in a new framework that integrates datasets and machine learning into a risk management framework, so further work can be done to test the effectiveness of the new framework
Studi Komparasi Kerangka Kerja Manajemen Risiko dalam Scrum Marzuki Pilliang; Munawar Munawar; Budi Tjahjono
Jurnal Informatika Universitas Pamulang Vol 7, No 2 (2022): JURNAL INFORMATIKA UNIVERSITAS PAMULANG
Publisher : Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/informatika.v7i2.17468

Abstract

Risk management in software engineering projects describes an integrated design with methods, processes, and artifacts that continuously identify, analyze, control, and monitor risks, to prevent the project from failing. Agile methodology is an alternative to the traditional sequential software development process. Scrum is the most frequently used method based on the 2016 Agile development survey results. In recent years, there have been many studies that have produced a risk management framework for Scrum. However, risk analysis and the selection of responses to risks become a burden for stakeholders, so a framework is needed that can become a support system to help make decisions. This paper uses a comparative study of risk management framework literature and literature that utilizes tools for risk management. The research resulted in a new framework that integrates datasets and machine learning into a risk management framework, so further work can be done to test the effectiveness of the new framework
SENTIMENT ANALYSIS OF CONTENT PERMENKOMINFO NO.5 OF 2020 USING A CLASSIFICATION ALGORITHM Mohammad Amada; Munawar Munawar; Marzuki Pilliang
JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) Vol 8 No 2 (2023): JITK Issue February 2023
Publisher : LPPM Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1141.855 KB) | DOI: 10.33480/jitk.v8i2.4091

Abstract

This study aims to evaluate the impact of the policy issued by the Minister of Communication and Information Technology (PERMENKOMINFO No.5 of 2020) on the public's ability to access content through Private Scope Electronic System Providers (PSE). The study uses sentiment analysis and data classification methods to analyze the content of PERMENKOMINFO No.5 of 2020 and provides results on the accuracy of sentiment prediction. The results of the study show that the data classification method in sentiment analysis can provide accurate results in predicting the sentiment towards the content of PERMENKOMINFO No.5 of 2020. The study also highlights the need for improvement and better policy to ensure the interests of the public in accessing online information. The negative sentiment of 80.34% obtained through sentiment analysis provides important contributions for policy evaluation and feedback for improvement. This study provides valuable insights into the public's sentiment towards the PERMENKOMINFO No.5 of 2020 policy and its impact on their ability to access content. It also contributes to understanding the legal uncertainty in accessing content and reinforces the case for better policy to ensure the interests of the public.