Article Per Year (5 Year)
p-Index From 2020 - 2025
0.983
P-Index
This Author published in this journals
All Journal METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi BEduManageRs Journal : Borneo Educational Management and Research Journal
Ahmad Abul Khair
STMIK Widya Cipta Dharma
Humanities Computer Science & IT Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Mathematics Social Sciences Other

Published : 5 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 5 Documents
Search

 1 
MEDIA PEMBELAJARAN INTERAKTIF BERBASIS EDUTAINMENT Muhammad Ibnu Sa'ad; Heny Pratiwi; Ahmad Abul Khair
BEduManagers Journal : Borneo Educational Management and Research Journal Vol. 4 No. 2 (2023): BEduManagers Journal : Borneo Educational Management and Research Journal
Publisher : Manajemen Pendidikan Program Doktor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30872/bedu.v4i2.3011

Abstract

This educational entertainment-based interactive learning media aims to maximize the teaching and learning process to make it easier and more enjoyable so that it can increase students' interest in learning, especially financial literacy, 3D animation material. Apart from that, teachers can also create questions for students to work on without having to correct them manually because of this system. equipped with an automatic error correction feature based on answers made by the teacher and an educational entertainment system on this website. It is also equipped with mini flash games so that the site content becomes more diverse, and the material is equipped with animation. Content updates can be done dynamically via the admin panel. This educational entertainment-based interactive learning media was developed using the Prototype system development methodology and system development tools using UML (Unifield Modeling Language). In developing this educational entertainment website, the programming languages PHP, HTML, JavaScript, JQuery MySQL Database, and Sublime Text were used as editors. text and Adobe Flash Professional CS6 as image editor. From the results of this research, an edutainment website was created which contains learning material features in the form of animated images, video tutorials about 3D animation, photos of teaching and learning activities for students majoring in multimedia engineering, educational games, discussion forums and multiple choice questions.
Principal Component Analysis Algorithm For Face Recognition in Kindergarten Students abul khair, ahmad; Ibnu Sa'ad, Muhammad
BEduManagers Journal : Borneo Educational Management and Research Journal Vol. 5 No. 1 (2024): BEduManagers Journal : Borneo Educational Management and Research Journal
Publisher : Manajemen Pendidikan Program Doktor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30872/bedu.v5i1.3935

Abstract

In kindergarten, understanding each student's activities is crucial for evaluating their learning and adaptation to the school environment. However, manually tracking individual student activities during class is challenging for kindergarten teachers. This paper proposes using face recognition for kindergarten students as a preliminary step to monitor and record their activities. The process involves converting video footage of students into digital images. Faces are detected using the Viola-Jones method, and feature extraction on the images is performed using the Principal Component Analysis (PCA) method. Euclidean Distance is then applied to recognize the students' faces. Our experiments utilize 70 images for training data, consisting of 5 different images from each of the 14 students. The experimental results demonstrate an accuracy of 91.42% when testing 14 new images of the students
Strategi Bisnis Digital dengan Pemasaran Digital yang Efektif dalam Meningkatkan Daya Saing Perusahaan dan Inovasi Berkelanjutan Renni Mayasari; Abul Khair, Ahmad; Muhammad Nur Madani
BEduManagers Journal : Borneo Educational Management and Research Journal Vol. 5 No. 2 (2024): BEduManagers Journal : Borneo Educational Management and Research Journal
Publisher : Manajemen Pendidikan Program Doktor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30872/bedu.v5i2.4663

Abstract

In an increasingly competitive digital era, digital business strategies with digital marketing are key to increasing company competitiveness and sustainable innovation. Companies must be able to utilize digital platforms and media effectively to reach a wider range of consumers and build closer relationships with consumers. This study aims to identify digital business strategies with digital marketing that are effective in increasing company competitiveness and sustainable innovation. This study uses a literature review method to collect and analyze various literature related to effective digital marketing strategies. Digital marketing has become a key element in digital business strategies, namely by: 1. Utilizing digital platforms and media, 2. collaborating with other companies and influencers to reach consumers effectively, 3. Dividing digital marketing based on the type of social media, 4. Creating digital content, 5. Analyzing consumer data with AI and Machine Learning, 6. Optimizing the company's website. By understanding the latest trends and technologies in digital marketing, companies can develop strategies that are more focused and responsive to rapid changes in the business environment. Overall, this study shows that digital business strategies with effective digital marketing in increasing competitiveness and sustainable innovation can provide significant results for companies in the digital era.
Analisis Sentimen Orang Tua Murid Baru Terhadap SMPN 40 Samarinda pada SPMB 2025 Menggunakan Algoritma Naïve Bayes Putra, Resifa Ananta; Heny Pratiwi; Ahmad Abul Khair
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 9 No. 2 (2025): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/jmika.Vol9No2.pp292-299

Abstract

The New Student Admission Selection (SPMB) plays an essential role in ensuring equal educational access in Indonesia. However, during SPMB 2025 at SMPN 40 Samarinda, many candidates living nearby did not choose the school as their first preference, suggesting that perceptions and school image significantly influenced their choices. This study aims to analyze new student parents sentiments toward SMPN 40 Samarinda using the Naïve Bayes algorithm combined with the Term Frequency–Inverse Document Frequency (TF-IDF) technique. Data were collected from 42 respondents and categorized into positive, neutral, and negative sentiments. The model achieved an accuracy of 86%, precision of 56%, and recall of 63%, showing that Naïve Bayes performs effectively on limited data, though less sensitive to minority classes. The analysis revealed that most parents expressed positive perceptions, indicating growing trust that SMPN 40 Samarinda can support students’ character development. These findings emphasize the importance of strengthening school image and service quality while highlighting the potential of machine learning–based sentiment analysis as a data-driven approach to understanding educational perceptions.
Analisis Sentimen Orang Tua Murid Baru Terhadap SMPN 40 Samarinda pada SPMB 2025 Menggunakan Algoritma Naïve Bayes Ananta Putra, Resifa; Heny Pratiwi; Ahmad Abul Khair
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 9 No. 2 (2025): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi
Publisher : Universitas Methodist Indonesia

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

Abstract

The New Student Admission Selection (SPMB) plays an essential role in ensuring equal educational access in Indonesia. However, during SPMB 2025 at SMPN 40 Samarinda, many candidates living nearby did not choose the school as their first preference, suggesting that perceptions and school image significantly influenced their choices. This study aims to analyze new student parents' sentiments toward SMPN 40 Samarinda using the Naïve Bayes algorithm combined with the Term Frequency–Inverse Document Frequency (TF-IDF) technique. Data were collected from 42 respondents and categorized into positive, neutral, and negative sentiments. The model achieved an accuracy of 86%, a precision of 56%, and a recall of 63%, showing that Naïve Bayes performs effectively on limited data, though it is less sensitive to minority classes. The analysis revealed that most parents expressed positive perceptions, indicating growing trust that SMPN 40 Samarinda can support students’ character development. These findings emphasize the importance of strengthening school image and service quality while highlighting the potential of machine learning–based sentiment analysis as a data-driven approach to understanding educational perceptions.
Co-Authors Ananta Putra, Resifa Heny Pratiwi Muhammad Ibnu Saad Saad Muhammad Nur Madani Putra, Resifa Ananta Renni Mayasari