Analisis Kejelasan Tujuan Pendidikan Remaja Berbasis Machine Learning dan Data Digital Psikometrik

Dwi Wulandari Sari; Kurnia Gusti Ayu; Dana Riksa Buana; Hariesa Budi Prabowo; Muhammad Irvan

doi:10.70340/jirsi.v5i2.351

Penulis

Dwi Wulandari Sari Universitas Mercu Buana
Kurnia Gusti Ayu Universitas Mercu Buana
Dana Riksa Buana Universitas Mercu Buana
Hariesa Budi Prabowo Universitas Mercu Buana
Muhammad Irvan Universitas Mercu Buana

DOI:

https://doi.org/10.70340/jirsi.v5i2.351

Kata Kunci:

Machine Learning, clustering, classfication, diigital behavior, educational goals

Abstrak

Penelitian ini bertujuan untuk menganalisis kejelasan tujuan pendidikan remaja berdasarkan integrasi data psikometrik dan aktivitas digital menggunakan pendekatan machine learning. Permasalahan utama dalam penelitian ini adalah belum optimalnya pemanfaatan data digital dan psikologis untuk memahami karakteristik tujuan pendidikan remaja. Metodologi yang digunakan meliputi preprocessing data, analisis clustering menggunakan algoritma K-Means untuk mengidentifikasi pola tersembunyi, serta klasifikasi menggunakan Logistic Regression dan Decision Tree untuk membangun model prediksi. Hasil penelitian menunjukkan bahwa data responden terbagi menjadi tiga kelompok utama, yaitu rendah, sedang, dan tinggi, yang mencerminkan tingkat keterlibatan digital dan kejelasan tujuan pendidikan. Dengan pembagian data 80:20, menunjukkan bahwa pada data test (20%), model Logistic Regression menghasilkan performa terbaik dengan akurasi sebesar 0.95 dan ROC-AUC sebesar 0.996, sedangkan Decision Tree memberikan interpretasi pola yang lebih mudah dipahami dengan akurasi sebesar 0.80. Variabel yang paling berpengaruh meliputi frekuensi pencarian informasi, durasi akses konten edukasi, dan hasil clustering. Kesimpulan penelitian ini menunjukkan bahwa perilaku digital yang produktif berkontribusi signifikan terhadap kejelasan tujuan pendidikan remaja, serta pendekatan hybrid machine learning efektif dalam menggabungkan analisis pola dan prediksi.

Unduhan

Data unduhan belum tersedia.

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