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Development Strategy System Information Management in Support Organizational Digital Transformation Hendra Jatnika; Mia Kusmiati
Global Management: International Journal of Management Science and Entrepreneurship Vol. 2 No. 4 (2025): November: International Journal of Management Science and Entrepreneurship
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70062/globalmanagement.v2i4.428

Abstract

Goals – Goals from studies This is For explore approach strategic in development System Information Management (SIM) as integral part in support digital transformation of modern organizations. Study This emphasize importance integration technology information , effective data management as well as improvement digital competence resources Power man in operation system. Design/ methodology / approach – Conceptual article This use method review library with analyze various work relevant academic and technical manuals , in particular related implementation of SIM in the sector public and private . Study This referring to the works Jatnika et al. (2022–2024), including utilization Microsoft Office applications as skills supporting basis​ organizational digital literacy . Findings – Findings studies This show that SIM development is not just effort technical , but rather need strategic in support digital transformation . Key strategies covers design modular systems , data mining integration , training programs based users , and evaluation system in a way periodic . Components This allows organization build responsive and adaptive SIM ecosystem . Implications practical – Organizations that want to do digital transformation is necessary invest in development digital capabilities of sources Power the human as well as ensure effectiveness use developed SIM system in a way strategic can become driving force main in increase efficiency , accuracy , and capability taking decision across work units . Originality / value – Study This offers a conceptual model structured about development of SIM in context digital transformation , based on literature applications and needs organizations in the real world . This article give outlook practical for taker policy , IT managers , and HR developers .
Cobit Framework Implementation 5 DSS Domain (Deliver, Service and Support) ITCC ITPLN Information Technology Governance Audit Hendra Jatnika; Mochamad Farid Rifai; Riani Saputri Abadi; Muhammad Yaseer Maward; Martogi Johan Siagian
Eduvest - Journal of Universal Studies Vol. 5 No. 8 (2025): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v5i8.50933

Abstract

Information Technology Certification Center (ITCC) ITPLN is a certification unit that implements IT governance with Office 365 Applications. IT governance in Office 365 applications requires an audit to evaluate and assess capabilities and make recommendations on IT governance at ITCC. This is because the ITCC has never evaluated IT governance. Therefore, until now the ITCC does not know the extent of the benefits and impacts obtained from the application of IT on the progressivity of achieving goals related to information system management. ITCC also doesn't know what the weaknesses are and what the solutions are. The audit standard used is Control Objectives for Information and Related Technology (COBIT). The chosen COBIT 5 domain is the Deliver, Service, and Support (DSS) domain which focuses on the assessment of delivery and information technology services as well as its support for ongoing business processes including problem management so that the sustainability of business processes is maintained. In addition, it is also intended to control, evaluate, and plan long-term business processes. The result is the overall Capability Level on Office 365 in ITCC.
Penguatan Kompetensi Digital Berstandar Microsoft Office Specialist (MOS) bagi Guru MA Annida Al-Islamy Luqman; Hendra Jatnika; Rakhmadi Irfansyah Putra; Yudhi Setyo Purwanto; Ocha Nia Martcya Situmorang; M. Rafif Soniansyah; Fakhri Faros
JURPIKAT Vol 7 No 1 (2026): 7.1 2026
Publisher : Politeknik Piksi Ganesha Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/jurpikat.v7i1.3006

Abstract

This Community Service program aims to strengthen the digital competence of teachers at MA Annida Al-Islamy through Microsoft Office Specialist (MOS) certification preparation. The primary issue identified was the basic level of office application mastery, which fell below global standards. The method involved preliminary surveys, needs analysis, material preparation, hands-on technical workshops based on participant interests (Word, Excel, PowerPoint), and evaluation. Results from 15 participants showed significant success, with an average perceived competence improvement of 92.4%. Additionally, over 85% of technical challenges during trivia sessions were answered correctly. Program outputs, including digital modules and video tutorials, were provided to support sustainable self-paced learning. This training effectively enhanced educators' technical readiness and confidence in meeting international competency standards.
Implementation of Agile Modeling In Web-Based Quality Management Audit Application Hendra Jatnika; Mochammad Farid Rifai Farid Rifai; Tyara Anastasya
Jurnal E-Komtek Vol 9 No 2 (2025)
Publisher : Politeknik Piksi Ganesha Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/e-komtek.v9i2.2602

Abstract

Information Technology Certification Center (ITCC) is an institution responsible for implementing certification at ITPLN, with a focus on certification in the field of technology. Currently, ITCC still uses a conventional system in managing its archives. To overcome this, a web-based quality management audit application has been designed using the Agile approach. The Agile approach was chosen because of its ability to increase development efficiency, provide flexibility in customizing applications according to needs, and accelerate project completion. The resulting application is also more adaptive to user feedback and supports a dynamic audit process. The development of this application involves the use of the PHP programming language, MySQL database, and testing using the Blackbox testing method.
Application of Multiple Linear Regression (MLR) Method in Certification Activities at ITCC ITPLN Hendra Jatnika; Luqman Luqman; Meilia Nur Indah Susanti; Petra Andriyani Mulyo Wibisono; Mulya Jefri
Enrichment: Journal of Multidisciplinary Research and Development Vol. 2 No. 12 (2025): Enrichment: Journal of Multidisciplinary Research and Development
Publisher : International Journal Labs

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55324/enrichment.v2i12.314

Abstract

Multiple Linear Regression (MLR) is one of the algorithms in Machine Learning. Machine Learning that estimates the linear coefficient equations involved in one or more independent variables that can predict the value of the variable of interest. Algorithms used to predict the value of a variable based on the value of other variables. Based on 2021 data at the Information Technology Certification Center (TCC), it can be seen that the quality and quantity of Microsoft International Certification graduates is decreasing. In the pre-pandemic MOS certification, the percentage of passes was seventy-two percent (72%), while in the MOS certification during the pandemic the percentage of passes dropped to fifty-two percent (52%). Based on the results of the MLR trial test on the dataset of MOS-Word and MCF-AI certification test participants, a calculation formula is obtained as a benchmark in assessing the MOS-Word and MCF AI certification scores. The study provides specific recommendations to optimize certification training programs by tailoring materials to address critical competencies and participant needs. Additionally, a predictive formula developed in this research can serve as a self-assessment tool for participants to evaluate their readiness for certification tests. These findings underscore the potential of MLR as a robust analytical tool for improving certification processes, enhancing training effectiveness, and ensuring better outcomes for participants. This research contributes to advancements in machine learning applications within education and professional development contexts.
Co-Authors Abd. Rasyid Syamsuri Abdul Azis Adinda Musika Permata Adinda Musika Permata Afief Fadlan Yudri Afifah Nurlita Octaviasari Alexandro Nesta Alexandro Nesta Amanda T Supriadi Arfani Lovina Br Stendel Arfani Lovina Br Stendel Arfani Lovina Br. Stendel Ari Waluyo Azizah Arip Rambe Azizah Arip Rambe Azmi Azis Azmi Azis Bowval Valentino Dahroni, Andi David Gabriel Sembiring Djunaidi, Karina Fakhri Faros Fakhri Faros Gina Afra Ardelia Grace Augustin Sinaga Grace Augustin Sinaga Herman Bedi Agtriadi, Herman Bedi INDAH WULANDARI Istiqomah, Shinta Joey Andrew Fransisco Sihombing Joey Andrew Fransisco Sihombing Julioh H Sihotang Luqman luqman Luqman Luqman Luqman Luqman Luqman Umar Lydia Tiomas Evalien Napitupulu M Yoga Distra Sudirman M. Farid Rifai M. Farid Rifai M. Farid Rifai M. Rafif Soniansyah M. Rafif Soniansyah M. Yoga Distra Sudirman Marsela Tri Anggrainie Marsela Tri Anggrainie Martogi Johan Siagian Meilia Nur Indah Susanti, Meilia Nur Mia Kusmiati Moch. Farid Rifai Mochamad Farid Rifai Mochamad Farid Rifai Mochamad Farid Rifai Mochamad Farid Rifai Mochamad Farid Rifai Mochammad Farid Rifai Farid Rifai Mohamad Tanwirul Akbar Mohamad Tanwirul Akbar Muh.Narya Nash Muh.Narya Nash Muhamad Nur Khanib Muhammad Nur Khanib Muhammad Yaseer Maward Muhammad Zaid Al Khair Muhammad Zaid Al Khair Muhammad Zaid Al-Khair Mulya Jefri Naila Husnaa Napitupulu, Lydia Tiomas Evalien Nasya Miranda Umar Ningrum, Rahma Farah Ocha Nia Martcya Situmorang Ocha Nia Martcya Situmorang Octaviasari, Afifah Nurlita Petra Andriyani Mulyo Wibisono Pirmansyah, Yudi Syarif Purwanto, Yudhi Rakhmadi Irfansyah Putra Rian Hasiando Silaen Riani Saputri Abadi Rifai, Mochamad Farid Rizka Putri Aulia Rusdi Rizka Putri Aulia Rusdi Ruslih, Tatang Ruth Syalomitha hutabarat Ruth Syalomitha hutabarat Sely Karmila Sely Karmila Suswandi, Suswandi Tiara Kusuma, Dine Tyara Anastasya Tyara Anastasya Vincentia Reynada Primadhani Wali Syahputro Cahoyo Kabidoyo Waluyo, Ari Yasni Djamain Yessy Fitriani Yessy Fitriani Yoga Distira Sudirman Yoga Distra Sudirman Yudhi S. Purwanto Yudhi S. Purwanto Yudhi Setyo Purwanto Yudhy S. Purwanto Yudhy S. Purwanto Yudhy S. S Purwanto Yudhy Setyo Purwanto Yudi Setyo Purwanto Yusleli Siagian Yusleli Siagian Zakiya Viantika Sihabudin4 ⁠Muhamad Nur Khanib ⁠Naila Husnaa ⁠Ocha Nia Martcya Situmorang