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All Journal CESS (Journal of Computer Engineering, System and Science) Jurnal Abdimas BSI: Jurnal Pengabdian Kepada Masyarakat Paradigma Jurnal Pilar Nusa Mandiri Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika Jurnal Mantik INTI Nusa Mandiri J-ADIMAS (Jurnal Pengabdian kepada Masyarakat) Jurnal Teknologi Informatika dan Komputer CENDEKIA : Jurnal Ilmu Pengetahuan Jurnal Nasional Teknologi Komputer Jurnal Ilmiah Sistem Informasi dan Ilmu Komputer Nusantara Journal of Multidisciplinary Science
Ibnu Akil
Universitas Bina Sarana Informatika
Religion Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media

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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.
SISTEM PENDUKUNG KEPUTUSAN UNTUK MENENTUKAN PROMOSI KENAIKAN JABATAN PT. MNC VISION DIVISI TECHNICAL SERVICE JAKARTA MENGGUNAKAN METODE SIMPLE ADDITIVE WEIGHTING Rosliana Rosliana; Ibnu Akil
INTI Nusa Mandiri Vol. 14 No. 1 (2019): INTI Periode Agustus 2019
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

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Abstract

Abstract - The human resources of a company greatly affect many aspects of determining the work success of the company. One process that is very important in the Human Resources Department of a company or business entity is the promotion process of promotion. In determining who are eligible to be promoted, the company has difficulty making decisions. This is due to the large number of employees who have high quality, while the number of positions needed is limited. In addition, data processing of employee appraisal in the company is still done manually, so that there is a high probability of inputting errors given the very large number of employees and a relatively long time required. For this reason, a decision support system is needed that can help the company in selecting employees to be promoted. The method used is Simple Additive Weighting which starts from identifying the problem and determining objectives, determining criteria and alternatives, determining the weight until the final results are obtained and proceed with a ranking process that will select alternatives that have been provided so that alternative employees are eligible for promotion position.
NEURAL NETWORK FUNDAMENTAL DAN IMPLEMENTASI DALAM PEMROGRAMAN Ibnu Akil
INTI Nusa Mandiri Vol. 14 No. 2 (2020): INTI Periode Februari 2020
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/inti.v14i2.1179

Abstract

Nowadays machine learning and deep learning are becoming a trend in the world of information system. They are actually is part of an artificial intelligence domain. However, so many people don’t understand that machine learning and deep learning are built using neural networks. Therefore, in order to understand how machine learning and deep learning works, we must understand the basic concept of the neural network first. In this article, the writer describes the basic theory, math function of a neural network, and the example of implementation into the java programming language. The writer hopes that this article may help to understand neural network which is the core of machine learning and deep learning.
DETEKSI KARAKTER HURUF ARAB DENGAN MENGGUNAKAN CONVOLUTIONAL NEURAL NETWORK Ibnu Akil; Indra Chaidir
INTI Nusa Mandiri Vol. 15 No. 2 (2021): INTI Periode Februari 2021
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/inti.v15i2.2179

Abstract

Dalam dunia yang serba digital bukan berarti tidak ada lagi tulisan tangan. Contohnya seperti membaca cek di bank masih harus menerima input berupa tulisan tangan. Masalahnya banyak aplikasi OCR belum bisa memfasilitasi semua bahasa salah satunya adalah bahasa arab. Karenanya diperlukan aplikasi yang dapat mengidentifikasi huruf hijaiyah tulisan tangan bahasa arab. Tujuan dari penelitian ini adalah mengembangkan aplikasi artificial intelligent untuk mendeteksi karakter huruf arab dengan metode Convolutional Neural Network. Hasil penelitian ini dapat dimanfaatkan sebagai dasar pengembangan lebih lanjut aplikasi OCR dengan banyak bahasa
PENILAIAN KINERJA TIM EVALUASI PERIJINAN PEMBUKAAN PROGRAM STUDI DENGAN TEKNIK CLUSTERING K-MEANS Ibnu Akil
INTI Nusa Mandiri Vol. 16 No. 1 (2021): INTI Periode Agustus 2021
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/inti.v16i1.2271

Abstract

Abstrak: Mengelompokan karyawan atau staff mana yang memiliki kinerja yang baik dengan yang kurang baik bisa jadi hal yang krusial. Evaluasi perijinan program studi memerlukan kinerja tim penilai yang tinggi karenanya perlu dikelompokan mana tim penilai yang kinerjanya baik dan yang kurang baik. Clustering merupakan Teknik data mining yang efektif untuk melakukan pengelompokkan. Clustering termasuk ke dalam unsupervised learning. Salah satu Teknik clustering yang cukup terbukti secara empiris adalah K-Means. Tujuan dari penelitian ini adalah melakukan pengelompokkan tim penilai yang berkinerja tinggi dengan yang biasa saja dengan menggunakan Teknik clustering K-Means, guna meningkatkan atau mempercepat proses evaluasi usulan perijinan Program Studi pada Kementerian Pendidikan dan Kebudayaan.
PREDIKSI HARGA SAHAM TWITTER DENGAN LONG SHORT-TERM MEMORY RECURRENT NEURAL NETWORK Ibnu Akil; Indra Chaidir
INTI Nusa Mandiri Vol. 17 No. 1 (2022): INTI Periode Agustus 2022
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/inti.v17i1.3277

Abstract

Abstract— Today the trading business has become a trend to get money easily without having to work hard as long as you have capital. To get maximum results and avoid losses, it is necessary to have expertise in predicting the ups and downs of the stock market value. The purpose of this research is to utilize machine learning technology to predict the fluctuation of stock value by using the Long Short-Term Memory RNN model. From the results of this study, it was found that LSTM+RNN is suitable for use in single-step models. Keywords: stock price, machine learning, recurrent neural network, lstm Abstrak—Dewasa ini bisnis trading menjadi suatu trend untuk mendapatkan uang dengan mudah tanpa harus bekerja keras asalkan memiliki modal. Untuk mendapatkah hasil yang maksimal dan menghindari kerugian maka diperlukan keahlian di dalam memprediksi naik turunya nilai bursa saham. Tujuan dari penelitian ini adalah memanfaatkan teknologi machine learning untuk memprediksi naik turunya nilai saham dengan menggunakan model Long Short-Term Memory RNN. Dari hasil penelitian ini didapatkan bahwa LSTM+RNN cocok untuk digunakan pada model single-step. Kata kunci: harga saham, machine learning, recurrent neural network, lstm
FACE DETECTION PADA GAMBAR DENGAN MENGGUNAKAN OPENCV HAAR CASCADE Ibnu Akil
INTI Nusa Mandiri Vol. 17 No. 2 (2023): INTI Periode Februari 2023
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/inti.v17i2.4000

Abstract

Abstract—OpenCV has more than 2500 optimized algorithms, which includes a comprehensive set of both classic and state-of-the-art computer vision and machine learning algorithms. It has been proven by software companies, that is why the researcher will use it for face detection application with Java programming langguage. The purpose of this paper is trying to implement machine learning library OpenCV with Haarcascade algorithm to detect face from an image and to find the weaknesess of haarcascade algorithm. Haar cascade is proven still relliable to detect face. Abstrak— OpenCV memiliki lebih dari 2500 algoritma yang sudah dioptimisasi untuk digunakan dalam computer vision dan pembelajaran mesin. Karena keberhasilannya yang sudah dibuktikan oleh banyak perusahaan perangkat lunak, maka peneliti akan menggunakannya untuk aplikasi face detection dengan menggunakan bahasa pemrograman Java. Tujuan dari artikel ini adalah untuk mencoba menerapkan library pembelajaran mesin OpenCV algoritma Haar cascade untuk mendeteksi wajah pada sebuah gambar dan untuk mencari kelemahannya. Haar cascade telah terbukti masih cukup handal dalam mendeteksi wajah.
KOMPARASI FUNGSI AKTIVASI NEURAL NETWORK PADA DATA TIME SERIES Ibnu Akil
INTI Nusa Mandiri Vol. 18 No. 1 (2023): INTI Periode Agustus 2023
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/inti.v18i1.4288

Abstract

Abstract— The sophistication and success of machine learning in solving problems in various fields of artificial intelligence cannot be separated from the neural networks that form the basis of its algorithms. Meanwhile, the essence of a neural network lies in its activation function. However because so many activation function which are merged lately, it’s needed to search for proper activation function according to the model and it’s dataset used. In this study, the activation functions commonly used in machine learning models will be tested, namely; ReLU, GELU and SELU, for time series data in the form of stock prices. These activation functions are implemented in python and use the TensorFlow library, as well as a model developed based on the Convolutional Neural Network (CNN). From the results of this implementation, the results obtained with the CNN model, that the GELU activation function for time series data has the smallest loss value
Analisis Kualitas Sistem Informasi Pada Website ETLE Polda Metro Jaya: Menggunakan Metode Penelitian Webqual 4.0 Faisal Zaki Prabowo; Putri Ayu Lestari; Hilman Nurjaya; Ibnu Akil
Nusantara Journal of Multidisciplinary Science Vol. 2 No. 12 (2025): NJMS - Juli 2025
Publisher : PT. Inovasi Teknologi Komputer

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Abstract

Penelitian ini bertujuan untuk menganalisis kualitas website ETLE Polda Metro Jaya menggunakan metode WebQual 4.0, yang mencakup tiga dimensi utama: Usability, Information Quality, dan Service Interaction Quality. Data diperoleh melalui kuesioner kepada 135 responden, kemudian diuji validitas dan reliabilitas menggunakan SPSS. Hasil analisis menunjukkan semua instrumen valid dan reliabel. Rata-rata skor usability 3,86; information quality 3,84; dan service interaction quality 3,88 (kategori baik). Namun terdapat GAP negatif yang menunjukkan ekspektasi pengguna belum sepenuhnya terpenuhi. Penelitian ini memberikan rekomendasi untuk perbaikan tampilan, kelengkapan informasi, dan interaksi layanan.
Co-Authors Azis Sukma Dhiana Dwi Irawati Edhi Prayitno Faisal Zaki Prabowo Fariha, Risya Zahra Haryani Hilman Nurjaya Indra Chaidir, Indra Linggar Kiki Zakaria Nurvi Oktiani Putri Ayu Lestari Rosliana Rosliana Taat Kuspriyono