Article Per Year (5 Year)
p-Index From 2021 - 2026
0.817
P-Index
This Author published in this journals
All Journal AKSIOMA: Jurnal Program Studi Pendidikan Matematika JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Journal of Research and Publication Innovation
Ahmad Fadillah
Unknown Affiliation
Computer Science & IT Education Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Social Sciences Other

Published : 4 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 4 Documents
Search

 1 
The Analisis Perbandingan Algoritma Floyd-Warshall dan A Star (A*) dalam Penentuan Lintasan Terpendek Ahmad Fadillah
JATISI (Jurnal Teknik Informatika dan Sistem Informasi) Vol 9 No 4 (2022): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Lembaga Penelitian dan Pengabdian pada Masyarakat (LPPM) STMIK Global Informatika MDP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v9i4.2663

Abstract

Makassar City is one of the cities in Indonesia as well as the capital city of South Sulawesi (Sulsel) Province. Based on data from the Directorate General of Population and Civil Registration (Dukcapil) and the Ministry of Home Affairs (Kemendagri), the total population of South Sulawesi will reach 9.19 million as of June 2021. Of this number, 8.26 million people (89.87%) are Muslim. Determining the trajectory of Islamic studies at the Makassar City Mosque, it takes the shortest path to the location of the mosque that conducts Islamic studies so that people can easily find out the distance, trajectory, and travel time to find the shortest path. The Floyd-Warshall algorithm is used to solve the shortest path problem. This algorithm compares all possible paths in the graph for each edge of all vertices. The A Star algorithm is a computer algorithm that is widely used in path finding and graph traversal, the process of efficiently plotting a transverse path between points, called nodes. The results showed that the comparison between the two algorithms based on the starting point and destination point in the search for distance, trajectory and travel time had different values ​​and each algorithm had a different trajectory search process. Based on the results of black box testing on the system declared valid or as expected. The system testing on the Admin User Acceptance Test (UAT) is 86,85% and the general public UAT test results are 83,46%.
ANALISIS VISUAL DAN KLASTERISASI MULTIDOMAIN MENGGUNAKAN PYTON: KEUANGAN, GIZI, DAN POLITIK Abu Bakar Riziq; Ahmad Fadillah; Fahmi Firmansyah; Gumilang Ali Prayogi; Defri Sulaeman; Intan Kumalasari
Journal of Research and Publication Innovation Vol 3 No 3 (2025): JULY
Publisher : Journal of Research and Publication Innovation

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

Abstract

This study applies data visualization and machine learning techniques to explore patterns across three distinct domains: corporate financial reports, food nutritional content (amino acids), and vote distribution in regional elections. Using Python and libraries such as pandas, scikit-learn, matplotlib, and seaborn, this study utilizes the KMeans algorithm, Principal Component Analysis (PCA), and linear regression. The results are evaluated using the Silhouette Score to assess cluster quality. This study demonstrates that an exploratory approach with Python is effective in uncovering insights from cross-domain data and supporting data-driven decision-making.
PERAN DAN IMPLEMENTASI SISTEM INFORMASI MANAJEMEN DALAM PENGAMBILAN KEPUTUSAN DAN PENINGKATAN DAYA SAING ORGANISASI DI ERA DIGITAL Ahmad Fadillah; Abu Bakar Riziq; Defry Sulaeman; Fahmmi Firmansyah; Gumilang Ali Prayogi; Reza Prasetya
Journal of Research and Publication Innovation Vol 3 No 4 (2025): OCTOBER
Publisher : Journal of Research and Publication Innovation

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

Abstract

This research integrates various conceptual approaches and case studies on the implementation of Management Information Systems (MIS) to support data-driven decision-making in the digital era. The rapid development of information technology has required organizations to manage data and design business strategies swiftly, positioning MIS as a core foundation for digital transformation. This study aims to describe the role of MIS in supporting the decision-making process and to analyze the impact of MIS implementation on improving organizational efficiency and competitiveness. The research also identifies major constraints, such as human resource limitations and data security issues, faced in the application of MIS across various sectors. A qualitative descriptive approach using the literature review method was employed to synthesize findings from six national scientific journals published between 2022 and 2025. The analysis involved data reduction, categorization, and thematic synthesis to construct a unified conceptual framework. The findings indicate that MIS plays a critical role in accelerating managerial planning, control, and performance evaluation processes. Furthermore, the integration of modern technologies like cloud computing, big data analytics, and artificial intelligence (AI) enhances the effectiveness of MIS in supporting organizational digital transformation and evidence-based decision-making. This study asserts that effective and integrated MIS implementation can significantly improve the quality of decisions, productivity, and organizational competitiveness amidst global competition.
ENHANCING SELF-REGULATED LEARNING THROUGH A CULTURE-INTEGRATED STEM FLIPPED CLASSROOM APPROACH Hairul Saleh; Dian Nopitasari; Westi Bilda; Ahmad Fadillah
AKSIOMA: Jurnal Program Studi Pendidikan Matematika Vol. 15 No. 2 (2026)
Publisher : UNIVERSITAS MUHAMMADIYAH METRO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24127/ajpm.v15i2.14992

Abstract

This study was prompted by the challenge of low student autonomy in traditional education and the urgent need to foster self-regulated learning (SRL) through contextually relevant methods. It examined the effectiveness of a Culture-Integrated STEM–Flipped Classroom model in improving students’ SRL. Using a quasi-experimental, pretest-posttest non-equivalent control group design, students from intact classes were assigned to an experimental group receiving the culture-integrated STEM–Flipped intervention and a control group receiving conventional instruction. SRL was measured before and after the intervention, and improvement was evaluated through gain score analysis. Results showed that the experimental group achieved a substantially higher gain (M=13.28) than the control group (M=5.44). The magnitude of the intervention effect, calculated using Cohen’s d, was d=0.88, indicating a large effect. These findings demonstrate that integrating cultural values within a STEM-based flipped learning environment can significantly enhance students’ ability to plan, monitor, and regulate their learning processes. The study concludes that combining culturally meaningful learning contexts with structured pre-class preparation and active in-class STEM problem solving provides a powerful approach for strengthening SRL.
Co-Authors Abu Bakar Riziq Defri Sulaeman Defry Sulaeman Dian Nopitasari Fahmi Firmansyah Fahmmi Firmansyah Gumilang Ali Prayogi Hairul Saleh Intan Kumalasari Reza Prasetya Westi Bilda, Westi