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All Journal Jurnal Teknologi Informasi dan Ilmu Komputer Journal of Information Systems Engineering and Business Intelligence Sinkron : Jurnal dan Penelitian Teknik Informatika Syntax Literate: Jurnal Ilmiah Indonesia Applied Information System and Management Sebatik Technomedia Journal Jurnal Teknologi Dan Sistem Informasi Bisnis Jurnal Informatika Ekonomi Bisnis Jurnal Ilmiah Akuntansi Kesatuan Computer Science and Information Technologies JURNAL FLYWHEEL ETNIK : Jurnal Ekonomi dan Teknik Proceedings Series on Social Sciences & Humanities KOMMAS: Jurnal Pengabdian Kepada Masyarakat Jurnal Comparative : Ekonomi Dan Bisnis J-Icon : Jurnal Komputer dan Informatika Ranah Research : Journal of Multidisciplinary Research and Development Jurnal Informatika Ekonomi Bisnis Masterpiece: Journal of Islamic Studies and Social Sciences Jurnal Ilmiah Sistem Informasi The Indonesian Journal of Computer Science Jurnal Teknik Sipil Jurnal Media Publikasi Terapan Transportasi
Raharjo, Teguh
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Religion Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mechanical Engineering Public Health Social Sciences Transportation Other

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Approaches in Determining User Story Quality through Requirement Elicitation : A Systematic Literature Review Angga Hendriana; Raharjo, Teguh; Nurfitriani, Anita
The Indonesian Journal of Computer Science Vol. 12 No. 6 (2023): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v12i6.3639

Abstract

A survey of 108 agile practitioners revealed that user stories are the most widely used method for capturing requirements. However, user stories can be interpreted differently by different stakeholders, leading to potential misunderstandings within the development team. Additionally, the interconnectedness of user stories poses challenges during the requirement elicitation process. A Systematic Literature Review (SLR) of 27 articles about user story elicitation process were selected and these are examined to determine user story quality. This research will provide a comprehensive summary of user story elicitation approaches and their application in addressing user story quality issues. The study will also offer insights into selecting appropriate approaches for resolving challenges in user story requirement elicitation. Finally, most user story elicitation approach primarily focus on addressing the issue of ambiguity.
Issues and Strategies of Agile Methodology Adoption in Remote Working Environment: A Systematic Literature Review Chairina Marsya; Raharjo, Teguh
The Indonesian Journal of Computer Science Vol. 13 No. 1 (2024): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i1.3677

Abstract

Agile and remote work are two topics that are currently popular in the business world, especially in the information technology industry. Both have been implemented in several companies, but Covid-19 has made it more widely used. Even though remote work offers many conveniences such as saving transport time and flexibility of place, it contrasts with Agile which requires intense collaboration and communication. Some of the obstacles found in previous research were that the team had fewer opportunities for communication, a lot of time was spent on meetings, so it was easy to get distracted when working remotely. This study uses a Systematic Literature Review to answer what are the obstacles and strategies in adopting agile in remote work systems. This research found that, there are five majors factors that effected while implement remote agile; coordination, response to change, leadership, facilitating condition, and policies & guidelines.
Enhancing IT Hybrid Projects in The Directorate General Of Customs And Excise of Indonesia: An Improvement Process Nugraha, Tito Febrian; Raharjo, Teguh; Wibowo, Wahyu Setiawan; Syahnuddin, Bob Hardian
The Indonesian Journal of Computer Science Vol. 13 No. 1 (2024): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i1.3680

Abstract

The Directorate General of Customs and Excise (DJBC) confronts mounting challenges due to the expanding international trade. To address this issue, an optimal software solution is required for efficient service provision and supervision of transactions. However, the completion of IS projects faces significant delays, with only 25% reaching completion despite the immediate need for a reliable system. These delays stem from various problems encountered during project execution. This research employs the Kerzner Project Management Maturity Model to assess the IS project management maturity level at DJBC and categorise the identified problems. Subsequently, solutions extracted from PMBOK 7 are mapped to address these issues. Findings indicate an average maturity score of 390, falling short of the target of 600 required for level 1 maturity. Additionally, 13 problems have been identified and linked to solutions within the seven standards/domains of PMBOK 7. The research presents two strategic goals: improving project management processes and enhancing client satisfaction, assessed using seven measurement indicators. This study offers valuable insights for DJBC to address project management challenges, enhance maturity levels, and achieve desired outcomes.
A Systematic Review of Risk Management Tools and Techniques in Software Projects Fadhli Luthfiansyah; Prasetyo, Aji; Raharjo, Teguh
The Indonesian Journal of Computer Science Vol. 13 No. 1 (2024): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i1.3694

Abstract

The crafting of software is a continual procedure, and the success of each step of that process is contingent on effective management. Despite this, numerous organizations need help developing e-service systems, frequently dealing with budget constraints and tight deadlines. The lack of focus on risk management in software projects is likely to blame for these failures. Management of risks is crucial to ensuring the success and efficacy of software development projects, as it assists in identifying areas of vulnerability and provides valuable insights into the project's most important aspects. This study identifies and analyzes tools and techniques to support software development projects’ risk management activity. A systematic literature review (SLR) methodology was employed to collect and evaluate relevant research articles. The findings highlight various risk management tools and techniques, including brainstorming, root cause analysis, risk probability assessment, artificial intelligence, and risk response planning. These tools and techniques contribute to identifying, analyzing, planning, and controlling risks in software projects. The research provides insights into the state of the art in risk management. It complements previous studies by offering practical guidance on software development project risk management tools and techniques.
Unveiling the Benefits and Challenges of Test-Driven Development in Agile: A Systematic Literature Review Tampubolon, Sabar Maruba; Raharjo, Teguh
The Indonesian Journal of Computer Science Vol. 13 No. 2 (2024): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i2.3857

Abstract

The adoption of Test-Driven Development (TDD) in Agile software development prompts extensive discussion. Advocates highlight its benefits, while skeptics question empirical evidence. This study investigates TDD in Agile settings, examining its merits and challenges. Conducting a systematic literature review, it synthesizes insights from scholarly and industry sources. Results indicate TDD aids development, aligns with Agile practices, and enhances product delivery. Yet, challenges include procedural complexity and skill requirements. Proficiency in Agile practices like refactoring and unit testing is essential. TDD's impact on productivity is moderate and can be counterproductive. This research contributes new perspectives on TDD and Agile development, benefiting academia and informing practitioners for informed decision-making.
Generative AI-Based Software Testing Implementation Model in Agile Development Methodology: Systematic Literature Review Ditasari, Linmas; Raharjo, Teguh
Ranah Research : Journal of Multidisciplinary Research and Development Vol. 8 No. 3 (2026): Ranah Research : Journal Of Multidisciplinary Research and Development
Publisher : Dinasti Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/rrj.v8i3.2056

Abstract

The development of Artificial Intelligence (AI) technology, particularly Generative AI and Large Language Models (LLM), has had a significant impact on the software development process, including software testing activities. This study aims to conduct a Systematic Literature Review (SLR) to identify and analyze various Generative AI-based software testing frameworks applied in Agile development environments. The literature search process was conducted in several major scientific databases, namely IEEE Xplore, Scopus, ScienceDirect, SpringerLink, and Google Scholar with a publication period of 2021–2026. Based on the selection process using the PRISMA method, 35 articles were obtained that met the inclusion criteria. The analysis results show that most studies utilize Large Language Models (LLM), machine learning, generative models, and retrieval-augmented generation (RAG) techniques to support software test automation, such as test case generation, unit testing automation, and behavior-driven development testing. In addition, several studies also developed AI assistant and agentic AI-based frameworks that can be integrated into Agile development pipelines. This study found that the use of Generative AI can improve testing process efficiency, accelerate test case generation, and help improve software quality. However, several challenges remain, such as limited model accuracy, the need for high-quality datasets, and issues with the security and reliability of AI-based systems
Identifikasi Permasalahan Jalur Pejalan Kaki Menggunakan Parameter Walkability Index Pada Ruas Jl. Wonokromo Raharjo, Teguh
Jurnal Media Publikasi Terapan Transportasi Vol. 4 No. 1 (April) (2026)
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/mitrans.v4n1.p424-432

Abstract

Walkability merupakan aspek penting dalam perencanaan transportasi perkotaan karena berkaitan dengan kenyamanan berjalan kaki, keberlanjutan transportasi, serta Kesehatan Masyarakat. Upaya mewujudkan Kota Surabaya sebagai kota yang ramah pejalan kaki memerlukan penyediaan fasilitas jalur pejalan kaki yang aman dan nyaman. Meskipun Kota Surabaya telah mengembangkan infrastruktur jalur pejalan kaki, namun masih ditemukan kualitas walkability pada ruas jalan tertentu yang belum optimal. Ruas Jl. Wonokromo merupakan salah satu Kawasan yang berfungsi sebagai simpul transportasi dan Kawasan komersial, namun menghadapi permasalahan yang menjadi tantangan pada jalur pejalan kaki seperti alih fungsi trotoar dan kondisi permukaan yang tidak memadai. Penelitian ini bertujuan untuk menganalisis Tingkat kelayakan berjalan pada ruas Jl. Wonokromo berdasarkan penilaian Walkability Index, serta mengidentifikasi parameter – parameter yang menjadi sumber permasalahan pada jalur pejalan kaki. Hasil análisis menunjukkan bahwa ruas Jl. Wonokromo memiliki nilai Walkability Index sebesar 50 dan termasuk dalam kategori “Kurang Baik”. Parameter yang bermasalah mencakup kondisi dan kualitas jalur pejalan kaki, infrastruktur penunjang pejalan kaki berkebutuhan khusus, keberadaan penghalang, fasilitas penyebrangan tidak sebidang, serta aspek keselamatan dan keamanan pejalan kaki. Hasil peneilitan ini diharapkan dapat menjadi dasar awal evaluasi kualitas jalur pejalan kaki pada área perkotaan serta mendukung upaya peningkatan lingkungan berjalan kaki di Kota Surabaya.
A Project Management Office Transformation Roadmap Based on the Project Management Office Value Ring in an Indonesian Insurance Firm Zubaidah, Takayani Febrianti; Raharjo, Teguh; Sucahyo, Yudho Giri
Jurnal Ilmiah Akuntansi Kesatuan Vol. 14 No. 2 (2026): JIAKES Edisi April 2026
Publisher : Institut Bisnis dan Informatika Kesatuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37641/jiakes.v14i2.4820

Abstract

The transformation of the Project Management Office (PMO) has become an important factor in improving organizational performance and value generation inside financial institutions. This study investigates the progress of the PMO in one of the biggest insurance companies in Indonesia, utilizing the PMO Value Ring 26 Functions framework as the primary analytical tool. Established in 2022, the PMO is a developing governance unit that aims to shift from procedural compliance to strategic value generation. This exploratory qualitative case study employs semi-structured interviews, document analysis, and a systematic literature review to assess the PMO’s current maturity level, identify transformation challenges, and propose a three-year strategic development plan. According to the findings, the PMO at the insurance company now serves as a governance facilitator, with limited capabilities in value measurement, stakeholder engagement, and benefit realization. Using the PMO Value Ring 26 Functions model, the study recommends a structured transformation path that prioritizes governance integration, capability enhancement, and performance-based value delivery. The findings benefit both academic and practical sectors by contextualizing the PMO Value Ring framework within a developing economy and providing actionable insights for firms looking to create value-driven PMO maturity in regulated industries.
Maintaining Confidentiality and Security in the Utilization of Generative AI for IT Project Management Indriyani, Felia Sri; Raharjo, Teguh; Fitriani, Anita Nur
Ranah Research : Journal of Multidisciplinary Research and Development Vol. 8 No. 3 (2026): Ranah Research : Journal Of Multidisciplinary Research and Development
Publisher : Dinasti Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/rrj.v8i3.2072

Abstract

The use of Generative AI has become a growing trend in project management, supporting activities such as learning, document preparation, and decision-making. However, its adoption also raises concerns related to confidentiality and security due to the involvement of sensitive project data. Therefore, this study examines how Generative AI can be safely utilized across PMBOK Knowledge Areas in IT project management while maintaining data confidentiality and security. The research was conducted in two stages. The first stage involved two systematic literature reviews following the Kitchenham method: one examining the utilization of Generative AI in project management (17 primary studies) and another focusing on ethical considerations, policy implications, and data security issues related to Generative AI (36 primary studies). The second stage involved an expert assessment with five experts to evaluate the applicability of Generative AI across PMBOK Knowledge Areas, identify relatively safe input types, and determine key considerations for maintaining confidentiality and security. The results indicate that Generative AI can be applied across all PMBOK Knowledge Areas, however not all input types and information are considered safe. Text identified as the safest, source code as high-risk, confidential data as unsuitable for sharing, and privacy and data protection as the primary concern.
Leveraging Artificial Intelligence in Supporting Remote Information Technology Project Management: A Systematic Literature Review Prasetyo, Seto Adhi; Raharjo, Teguh; Fitriani, Anita Nur
Ranah Research : Journal of Multidisciplinary Research and Development Vol. 8 No. 3 (2026): Ranah Research : Journal Of Multidisciplinary Research and Development
Publisher : Dinasti Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/rrj.v8i3.2083

Abstract

The transition to remote IT project management presents unique challenges in collaboration, resource allocation, and adaptability. While Artificial Intelligence (AI) is increasingly demanded as a strategic enabler to manage these complexities, its specific application within remote IT environments, particularly through the principles-based PMBOK7 framework, remains underexplored. To address this literature gap, this study presents a Systematic Literature Review (SLR) analyzing peer-reviewed literature published between 2021 and 2026. The review identifies 11 empirically validated studies and extracted 8 unique AI implementations, namely machine learning, natural language processing, neural network, multi-agent systems, large language model, fuzzy logic, genetic algorithm, and probability graph models. These technological implementations are systematically mapped across the eight PMBOK7 performance domains and five primary areas of change in remote IT work. The findings indicate that while empirical AI implementation in this domain is still in its infancy, it fundamentally enhances aspects like stakeholder communication, team flexibility, data-driven project planning, and holistic view of the project for project managers. Ultimately, this study serves as a foundational stepping stone for global IT organizations transitioning toward AI-assisted distributed project management
Co-Authors 'ilma Insyifani, Izza Agtyaputra, Irfan Murtadho Aji Prasetyo Angga Hendriana Anita Nur Fitriani Apriansyah Pagua, Jeri Ar, Khorida Astagina, Shania Chairina Marsya dedi kurniawan Devina, Fakhira Ditasari, Linmas Eko K. Budiardjo Fadhli Luthfiansyah Faridy, Azka Fariz, Achmad Arzal Fauzan Aldiansyah Febriyanti, Yuri Fidyawan, Miftahul Agtamas Fitriani, Anita Nur Genia, Venera Hardian, Bob Hendry, Darell Herman Purwoko Putro Indriyani, Felia Sri Jallow, Fatoumatta Binta K. Budiardjo, Eko Khalid Rivai, Abu Komara, Aditya LAURA, LAURA Lumbanraja, Harry Leonardo Mahatma, Kodrat Miftahul Jannah Mochamad Yusuf Alsagaff Moeljadi Moeljadi, Moeljadi Muhamad, Gilang Aulia Muhammad, Fathan Nabasya, Oristania Wahyu Nana Mardiana Nisa Hermawati, Nisa Nugraha, Tito Febrian Nugraheni, Sani Novi Nur Fitriani, Anita Nurfitriani, Anita Pakpahan, Hartati Mediyanti Prasetyo, Seto Adhi Pujiono, Ibnu Putra Hulu, Freddy Richard Putrianasari, Rahmawati Ramadhan, Hanif Ramadhan, Muhammad Zaid Ramadhina, Farah Agia Rizky, Fajar Sari, Herva Emilda Sawmitha Adompo, Vergina Sidiq, Darmawan Simangunsong, Surya Seven Y Simanungkalit, Tiarma Sinulingga, Redry Maynard Ananda Soares, Domingas Sucahyo, Yudho Giri Sudarto, Reska Nugroho Suherna, Endang Surya Gumilang, Anggit Syahnuddin, Bob Hardian Syaputra, Ikhsan Triadi Tampubolon, Sabar Maruba Teguh Tuhu Prasetyo Tribowo Prakoso, Panggih Trisnawaty, Ni Wayan Wayan Sujana Wayan Trisnawaty, Ni Wibowo, Aji Prastio Wibowo, Wahyu Setiawan Wijaya, Fadhil Yanpratama, Agas Yudhanto, Iman Alfathan Zagita, Tengku Chavia Zaid, Ahmad Zubaidah, Takayani Febrianti