Analisis Pola Asosiasi Kompetensi Teknis pada Lowongan Kerja Artificial Intelligence Menggunakan Algoritma Apriori dan Visualisasi Network Graph

Noor Latifah ; Mahavita Nabila Syahputri
Modem : Jurnal Informatika dan Sains Teknologi 📅 2026 Vol 4, No 1 🔗 DOI: 10.62951/modem.v4i1.747
Abstract
The gap between academic curriculum content and modern industrial needs is often an obstacle for fresh graduates in the Information Technology field, particularly in the rapidly evolving Artificial Intelligence (AI) sector. This study aims to identify the relationship patterns among technical competencies (hard skills) most demanded by the global industry. The method employed is Association Rule Mining with the Apriori algorithm to discover association rules between skills, and Network Graph Analysis to visualize the topological map of these competencies. The research dataset covers 15,000 AI job vacancies from the 2024-2025 period, analyzed in depth using Support, Confidence, and Lift Ratio evaluation parameters to validate the strength of relationships between items. The results show that Python is the central competency with the highest frequency of occurrence. Strong association rules were found indicating that proficiency in TensorFlow has a high probability of requiring Python proficiency. The Network Graph visualization reveals three main competency clusters: Data Engineering Ecosystem, Deep Learning, and Infrastructure. These findings offer a strategic foundation for aligning curricula with the job market. Focusing on strengthening the identified competency clusters is expected to directly enhance the relevance and work readiness of graduates.
Keywords
Apriori Algorithm; Artificial Intelligence; Business Intelligence; Network Graph; Technical Competencies
How to Cite

Noor Latifah & Mahavita Nabila Syahputri (2026). Analisis Pola Asosiasi Kompetensi Teknis pada Lowongan Kerja Artificial Intelligence Menggunakan Algoritma Apriori dan Visualisasi Network Graph. Modem : Jurnal Informatika dan Sains Teknologi, 4(1). https://doi.org/10.62951/modem.v4i1.747

Noor Latifah; Mahavita Nabila Syahputri, "Analisis Pola Asosiasi Kompetensi Teknis pada Lowongan Kerja Artificial Intelligence Menggunakan Algoritma Apriori dan Visualisasi Network Graph," Modem : Jurnal Informatika dan Sains Teknologi, vol. 4, no. 1, 2026.

Noor Latifah; Mahavita Nabila Syahputri. "Analisis Pola Asosiasi Kompetensi Teknis pada Lowongan Kerja Artificial Intelligence Menggunakan Algoritma Apriori dan Visualisasi Network Graph." Modem : Jurnal Informatika dan Sains Teknologi, vol. 4, no. 1, 2026.

Noor Latifah; Mahavita Nabila Syahputri. "Analisis Pola Asosiasi Kompetensi Teknis pada Lowongan Kerja Artificial Intelligence Menggunakan Algoritma Apriori dan Visualisasi Network Graph." Modem : Jurnal Informatika dan Sains Teknologi 4, no. 1 (2026).

Noor Latifah & Mahavita Nabila Syahputri (2026) 'Analisis Pola Asosiasi Kompetensi Teknis pada Lowongan Kerja Artificial Intelligence Menggunakan Algoritma Apriori dan Visualisasi Network Graph', Modem : Jurnal Informatika dan Sains Teknologi, 4(1). doi: 10.62951/modem.v4i1.747.

Noor Latifah; Mahavita Nabila Syahputri. Analisis Pola Asosiasi Kompetensi Teknis pada Lowongan Kerja Artificial Intelligence Menggunakan Algoritma Apriori dan Visualisasi Network Graph. Modem : Jurnal Informatika dan Sains Teknologi. 2026;4(1).

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