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Analisis Capaian Kinerja Dengan Model Regresi Linear Pada Perancangan Sistem Informasi Capaian Kinerja Dirjen Migas Akil, Ibnu
Jurnal Nasional Teknologi Komputer Vol 4 No 1 (2024): Volume 4 Nomor 1 Januari 2024
Publisher : CV. Hawari

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61306/jnastek.v4i1.131

Abstract

To monitor the performance of the government or government unit, a performance report is required. When submitting reports, you should utilize information technology. The Director General of Oil and Gas still uses the Excel application in reporting, this reduces one of the performance assessment points. In determining the performance percentage, a special formulation is required. The aim of this research is how to transform the Excel application into a web-based information system using a linear regression model in calculating performance achievements. From the results of testing and implementation of the linear regression model, we succeeded in calculating the performance percentage according to the Excel results.
OPTIMASI MODULARITAS DENGAN HIERARCHY MODEL VIEW CONTROLLER (HMVC) PADA FRAMEWORK CODE IGNITER Akil, Ibnu
Jurnal Teknologi Informatika dan Komputer Vol. 4 No. 2 (2018): Jurnal Teknologi Informatika dan Komputer
Publisher : Universitas Mohammad Husni Thamrin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37012/jtik.v4i2.267

Abstract

Ide dari Model-View-Controller (MVC) adalah untukmemisahkan antara lapisan logika, presentasi dandata dari suatu aplikasi. Pemisahan ini dapatmeningkatkan kemudahan pengelolaan dari suatusystem. Akan tetapi, MVC masih memilikiketerbatasan, yaitu skalabilitas. Untuk mengatasimasalah ini model MVC dimodifikasi danditingkatkan agar mampu memenuhi skalabilitas,dengan menggunakan Hierarchy Model-View-Controller (HMVC). Tujuan dari artikel ini adalahuntuk menunjukkan implementasi dari HMVC padaframework PHP CodeIgniter.
Designing the SiMiTi Architecture: A Framework for Sustainable Digital Transformation in Intelligent Enterprises Linggar Kiki Zakaria; Ibnu Akil; Azis Sukma Dhiana; Edhi Prayitno
Jurnal ilmiah Sistem Informasi dan Ilmu Komputer Vol. 5 No. 3 (2025): November: Jurnal ilmiah Sistem Informasi dan Ilmu Komputer
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/juisik.v5i3.1775

Abstract

The rapid evolution of digital technologies has compelled organizations to rethink their transformation strategies to ensure long term sustainability. This study proposes the SiMiTi Architecture, a conceptual framework intended to guide sustainable digital transformation (SDT) within intelligent enterprises. Based on a systematic literature review of 35 peer reviewed articles published between 2021 and 2025, the framework integrates five essential constructs: Strategic Alignment (SA), Digital Capability (DC), Technology Adoption (TA), Organizational Agility (OA), and Environmental Dynamism (ED). The model emphasizes the importance of strategic coherence, digital readiness, and contextual responsiveness as foundational elements for effective SDT. Strategic alignment ensures consistency between digital initiatives and enterprise objectives; digital capability and technology adoption establish the technological foundation for innovation; organizational agility mediates adaptive implementation; while environmental dynamism moderates the model’s applicability across various industrial and regulatory settings. The SiMiTi Architecture is theoretically anchored in four major theories: the Resource Based View, Strategic Alignment Theory, Dynamic Capabilities Theory, and Contingency Theory. This research contributes to the academic discourse by addressing a critical gap in existing models, particularly the integration of sustainability principles into digital transformation frameworks. Practically, it offers a diagnostic and planning tool for organizations striving to implement future ready, responsible digital strategies. The study concludes by providing recommendations for aligning technological investments with sustainable development goals and outlines directions for future empirical validation across sectors.