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Agile Readiness Assessment of IT Audit Function at Indonesia’s State-Owned Bank Dedi Kurniawan; Raharjo, Teguh; Nur Fitriani, Anita
The Indonesian Journal of Computer Science Vol. 13 No. 4 (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.v13i4.4111

Recently, there has been increased interest in using Agile methodologies in auditing to improve efficiency and adaptability. This study examines whether Bank XYZ in Indonesia is ready to adopt Agile for IT auditing, marking a first for the country's banks. The need for Agile is driven by a significant reduction in audit staff, increased demands from management, and higher fraud risks, all of which call for a more effective and responsive audit process. The research employed both surveys based on the CA Agile Framework and qualitative analysis. It found that Bank XYZ is moderately ready to adopt Agile, showing strengths in commitment to user research, organizational culture, and training support. However, challenges such as utilizing past Agile experiences and enhancing governance must be addressed. The study recommends a gradual adoption of Agile, focusing on building a supportive Agile culture, enhancing training for auditors, and improving governance structures. This step-by-step approach will help Bank XYZ effectively integrate Agile into its IT auditing practices to better meet management's expectations for more business-focused auditing.

Implementasi Kecerdasan Buatan dalam Manajemen Proyek Agile dalam Mengatasi Tantangan dan Memaksimalkan Dampak Lumbanraja, Harry Leonardo; Raharjo, Teguh; Fitriani, Anita Nur
The Indonesian Journal of Computer Science Vol. 13 No. 4 (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.v13i4.4155

The Agile methodology, with an 80% adoption rate, often faces challenges leading to project failures. This study investigates using artificial intelligence (AI) to overcome these challenges through a systematic literature review of 44 papers. It examines AI's impact on key Agile phases: envision, speculate, explore, adapt, and close. Findings highlight AI's critical role in improving project outcomes by addressing implementation challenges. AI tools aid in risk assessment and project selection during planning, enhance effort estimation and task allocation in speculation, improve team communication and technical issue resolution in exploration, optimize systems in adaptation, and provide valuable insights in closure. The paper offers guidance on effective AI integration to enhance Agile Project Management success.

Critical Success Factor Proyek TI: Studi Kasus Mobile Government Syaputra, Ikhsan Triadi; Raharjo, Teguh; Hardian, Bob; Simanungkalit, Tiarma
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 10 No 2: April 2023
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.20236606

Lembaga Pengawas XYZ adalah salah satu instansi pemerintah Indonesia yang sedang melakukan transformasi digital. Salah satu upaya transformasi digital adalah dengan mengembangkan aplikasi ABC. Aplikasi ABC merupakan aplikasi surat menyurat dan disposisi surat. Aplikasi ini merupakan aplikasi mobile government (mGovernment) yang dibangun agar pegawai Lembaga Pengawas XYZ dapat menerima tugas dan informasi melalui surat dimana saja dan kapan saja melalui perangkat smartphone. Hal ini dilakukan untuk mendukung pegawai Lembaga Pengawas XYZ yang memiliki mobilitas tinggi dalam menjalankan tugasnya sebagai auditor. Namun, proyek pengembangan aplikasi ini gagal. Ditandai dengan penyelesaian proyek yang tidak sesuai jadwal, aplikasi yang tidak sesuai harapan, dan hanya sedikit pegawai yang menggunakan aplikasi ini. Belum adanya analisis CSF dalam proyek pengembangan aplikasi mGovernment merupakan salah satu penyebab kegagalan yang diidentifikasi pada penelitian ini. Sehingga tujuan dari penelitian ini adalah untuk mencari CSF pada proyek TI agar dapat menghindari kegagalan kedepannya. Hal ini didukung dengan belum adanya penelitian mengenai CSF pada proyek TI khususnya di mGovernment sehingga dapat memberikan kontribusi dan kebaruan untuk akademisi maupun praktisi. Penelitian ini menggunakan delapan CSF dengan lima kriteria keberhasilan. CSF kemudian diurutkan untuk menemukan prioritasnya menggunakan Analytic Hierarchy Process (AHP). Data dalam penelitian ini diperoleh dari tim pengembangan aplikasi dan pakar proyek TI. Pengambilan data menggunakan kuesioner dan wawancara. Hasil penelitian ini menunjukkan bahwa perencanaan merupakan faktor yang paling diprioritaskan, disusul oleh kompetensi sumber daya manusia. Sedangkan peringkat terakhir adalah manajemen pengetahuan.Abstract XYZ Supervisory Institution is one of the Indonesian government agencies that is carrying out digital transformation. One of the digital transformation efforts is developing ABC application. ABC application is a correspondence and letter disposition application. This application is a mobile government (mGovernment) application that was built so that employees of XYZ Supervisory Institution can receive assignments and information by mail anywhere and anytime via a smartphone device. This is done to support employees of the XYZ Supervisory Institution who have high mobility in carrying out their duties as auditors. However, this application development project failed. Characterized by the completion of projects that are not on schedule, applications that do not meet expectations, and only a few employees use this application. The absence of CSF analysis in mGovernment application development projects is one of the causes of failure identified in this study. Therefore, the purpose of this research is to look for CSF in IT projects in order to avoid future failures. This is supported by the absence of research on CSF in IT projects, especially in mGovernment so that it can provide contribution and novelty for academics and practitioners. This study used eight CSF with five success criteria. The CSF are then sorted to find its priority using the Analytic Hierarchy Process (AHP). The data in this study were obtained from application development team and IT project experts. Collecting data using questionnaires and interviews. The results of this study indicate that planning is the most prioritized factor, followed by human resource competence. While the last rank is knowledge management.

Rancangan Metode Manajemen Proyek Hibrida Surya Gumilang, Anggit; Hardian, Bob; Raharjo, Teguh
Jurnal Etnik: Ekonomi-Teknik Vol 1 No 5 (2022): ETNIK : Jurnal Ekonomi dan Teknik
Publisher : Rifa'Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54543/etnik.v1i5.40

PT Asuransi Simas Jiwa already has a standard or SOP for project management. However, the company growth, the dynamic business conditions, and expectations from management to produce products or services faster have made this SOP irrelevant. Some project management activities in the company that are not in accordance with the documented SOP make this condition worse. Project management in the company becomes ineffective and inefficient.Changes in the project management standards become an important thing. This research aims to produce an effective and efficient project management standard design for this company. This standard is expected to be able to regulate project management activities in this company with existing project management best practices. In addition, the proposed new standards must also meet the expectations of management.This research is a kind of qualitative research with design science research (DSR) research methods. This method was chosen because it can provide an opportunity for researchers to evaluate and improve each step of the research. In addition to the design and development phase, the researcher also adopted the agile transition practice selection framework. This research has two iterations. The first iteration produces a project management standard design that describes the real activities in this company. Meanwhile, the second iteration produces a draft of the project management standard that complies with project management best practices in accordance with the PMBOK seventh edition. The project management standard produced from the second iteration will be proposed to the company as a replacement for the current SOP.

Enhancing Agile Big Data Project Success using Project Management Body of Knowledge (PMBOK) Performance Domain Astagina, Shania; Raharjo, Teguh
Sebatik Vol. 29 No. 2 (2025): December 2025
Publisher : STMIK Widya Cipta Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46984/sebatik.v29i2.2625

Big data projects, especially within the fields of data science, data analytics, and data engineering, are growing rapidly. This growth can be seen by machine learning technologies and the emerging trend of generative AI that utilize large datasets as input. This rise is evidenced by trend reports from leading IT companies, which indicate significant growth in the use of big data. The prevailing trend in big data projects is inconsistent with their actual execution. A considerable proportion of big data initiatives fail to reach the production phase due to inherent challenges, as these projects often display agile characteristics owing to their rapid pace and fluctuating requirements, in accordance with industry trends and needs. This highlights the need to assess the issues faced in agile big data projects. A thorough literature review was performed to identify issues, thus leading to the formulation of suggestions grounded in the PMBOK 7th edition as the standard and guideline for project management. The SLR phase effectively identifies four main categories of challenges: human resources, project management, data and information management, and organizational issues. The subsequent recommendation tackles these challenges. This study utilizes seven of the eight performance domains outlined in the PMBOK 7th edition to address the identified difficulties.

Transforming Project Management with Artificial Intelligence: Bibliometric Analysis and Systematic Literature Review Muhammad, Fathan; Raharjo, Teguh; Trisnawaty, Ni Wayan
Jurnal Informatika Ekonomi Bisnis Vol. 8, No. 1 (March 2026)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v8i1.1359

Despite the growing importance of project management to ensure organization success, the rate of project failures remains high, which indicates the need to apply modern methods. Latest innovations in Artificial Intelligence (AI) have been used to address challenges in the field. This study aims to conduct Bibliometric Analysis and Systematic Literature Review (SLR) to investigate the implementation of AI in project management, challenges faced, and the impact of the results. The study identifies four major trends where AI is applied within project management: prediction and monitoring, work automation, interaction and collaboration through immersive technologies, and knowledge management enhancement. The study encountered several challenges, including high implementation costs, a lack of senior management commitment, cultural resistance, limited access to real-time data, strategy misalignment, and data privacy concerns, all of which posed barriers to the study. On the other hand, the results show that the use of AI has various impacts, including increased productivity, better decision-making, and higher project success rates. This study covers AI in project management over the past recent five years as a novelty, offers a comprehensive classification of application, challenges and impacts, and fills the research gap left by the previous study. By bringing these insights together, this study contributes to deeper understanding of how AI is transforming project management and provides guidance for future implementations.

Implementasi TutorGPT sebagai Inovasi Pedagogis Berbasis ChatGPT untuk Meningkatkan Literasi Digital dan Berpikir Kritis Siswa MTs Mathla’ul Anwar Pamulang Raharjo, Teguh; Sawmitha Adompo, Vergina; Khalid Rivai, Abu; Komara, Aditya; Ramadhan, Hanif; Yusuf, Mochamad; Zaid, Ahmad; Tribowo Prakoso, Panggih
KOMMAS: Jurnal Pengabdian Kepada Masyarakat Vol. 7 No. 1 (2026): KOMMAS: JURNAL PENGABDIAN KEPADA MASYARAKAT
Publisher : KOMMAS: Jurnal Pengabdian Kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar

Perkembangan kecerdasan buatan (Artificial Intelligence) telah membawa perubahan signifikan dalam dunia pendidikan, khususnya dalam pengembangan strategi pembelajaran yang inovatif dan adaptif. Salah satu teknologi AI yang saat ini banyak digunakan adalah ChatGPT, sebuah sistem berbasis pemrosesan bahasa alami yang berpotensi dimanfaatkan sebagai sarana pembelajaran digital. Artikel ini bertujuan untuk mengkaji penerapan ChatGPT sebagai inovasi pedagogis dalam meningkatkan literasi digital dan kemampuan berpikir kritis siswa. Kegiatan ini dilaksanakan melalui program sosialisasi dan pendampingan pembelajaran berbasis TutorGPT yang melibatkan siswa tingkat menengah. Metode pelaksanaan meliputi pemberian pre-test, penyampaian materi interaktif, praktik langsung penggunaan ChatGPT sebagai tutor belajar, diskusi, serta post-test untuk mengukur peningkatan pemahaman siswa. Hasil kegiatan menunjukkan adanya peningkatan signifikan dalam pemahaman siswa terhadap konsep literasi digital, kemampuan memanfaatkan teknologi secara bijak, serta keterampilan berpikir kritis dalam menganalisis informasi dan menyelesaikan permasalahan pembelajaran. Siswa menunjukkan antusiasme tinggi dan mampu menggunakan ChatGPT untuk membantu memahami materi pelajaran, mengajukan pertanyaan secara mandiri, serta mengevaluasi jawaban yang diperoleh. Selain itu, kegiatan ini juga menumbuhkan kesadaran siswa terhadap etika penggunaan teknologi kecerdasan buatan dalam proses belajar. Dengan demikian, pemanfaatan ChatGPT sebagai sarana pembelajaran dapat menjadi alternatif inovasi pedagogis yang efektif dalam mendukung transformasi pendidikan di era kecerdasan buatan. Program TutorGPT diharapkan dapat menjadi model pembelajaran digital yang berkelanjutan dan relevan dalam meningkatkan kualitas pendidikan serta kesiapan siswa menghadapi tantangan era digital.

Transforming Project Management with Artificial Intelligence: Bibliometric Analysis and Systematic Literature Review Muhammad, Fathan; Raharjo, Teguh; Trisnawaty, Ni Wayan
Jurnal Informatika Ekonomi Bisnis Vol. 8, No. 1 (March 2026)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v8i1.1359

Despite the growing importance of project management to ensure organization success, the rate of project failures remains high, which indicates the need to apply modern methods. Latest innovations in Artificial Intelligence (AI) have been used to address challenges in the field. This study aims to conduct Bibliometric Analysis and Systematic Literature Review (SLR) to investigate the implementation of AI in project management, challenges faced, and the impact of the results. The study identifies four major trends where AI is applied within project management: prediction and monitoring, work automation, interaction and collaboration through immersive technologies, and knowledge management enhancement. The study encountered several challenges, including high implementation costs, a lack of senior management commitment, cultural resistance, limited access to real-time data, strategy misalignment, and data privacy concerns, all of which posed barriers to the study. On the other hand, the results show that the use of AI has various impacts, including increased productivity, better decision-making, and higher project success rates. This study covers AI in project management over the past recent five years as a novelty, offers a comprehensive classification of application, challenges and impacts, and fills the research gap left by the previous study. By bringing these insights together, this study contributes to deeper understanding of how AI is transforming project management and provides guidance for future implementations.

Analysis The Success of Knowledge Management in Agile Team Study Case: Ecommerce in Indonesia Yanpratama, Agas; Raharjo, Teguh
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.v12i6.3515

Information in organizations needs to be managed to gain a competitive advantage in competitions. E-commerce, one of the most prominent industries in Indonesia, has dynamic market conditions that frequently change requirements and recent layoffs, which can harm the companies if not correctly managed. Knowledge and information usually stored in a knowledge management system (KMS) are essential to negate this, and Agile software development methodologies can manage frequent requirement changes. However, a study about KMS's success in Agile teams, primarily e-commerce, needs to be conducted to know if KMS can help companies sustain their business in Indonesia. This research analyses the KMS success in Indonesia's e-commerce companies that use Agile as their software development methodologies. This study used a quantitative approach with 31 respondents who worked or previously worked in an e-commerce company in Indonesia, using Agile as software development methodologies and experienced using KMS daily. Data was processed and analyzed using the Partial Least Square-Structural Equation Modeling (PLS-SEM) and SmartPLS tools. The results of this study indicate that KMS net benefits in Agile teams in E-commerce in Indonesia are influenced by the user's intentions to use and user satisfaction when using the KMS.

ISO 9001:2015 and Capability Maturity Model Integration 3.0 in Software Development Project Fariz, Achmad Arzal; Raharjo, Teguh; Genia, Venera
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.v12i6.3528

Integration between Capability Maturity Model Integration (CMMI) 3.0 and ISO 9001 can provide several significant benefits to organizations seeking to improve the quality, efficiency, and maturity of their processes. CMMI and ISO 9001 can be integrated framework as guidance and evaluation. ISO 9001 promotes a risk-based approach, while CMMI helps in measuring process capability. Literature review conducted between 2018-2023 that indicates five researches regarding ISO 9001 and CMMI for software development. This study aims to integrate the ISO 9001:2015 standard with the CMMI 3.0 model. Selected CMMI 3.0 Practice Area PLAN, EST, CM, RDM, SAM, PQA, and MC are mapped in clause 8, while only RSK is mapped in clause 6. This study can be developed by mapping other Practice Area of CMMI and other standard.

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