JMM (Jurnal Masyarakat Mandiri)
Vol 9, No 4 (2025): Agustus

OPTIMALISASI ARTIFICIAL INTELLIGENCE UNTUK PERENCANAAN STUDI LANJUT SISWA MADRASAH ALIYAH

Alifiani, Alifiani (Unknown)
Sari, Fadhila Kartika (Unknown)



Article Info

Publish Date
16 Jul 2025

Abstract

Abstrak: Siswa Madrasah Aliyah (MA) NU Karangploso menghadapi tantangan dalam menentukan jurusan studi lanjut yang sesuai minat dan bakat, sehingga keputusan yang diambil sering tidak matang. Pengabdian ini bertujuan mendampingi siswa memilih jurusan berdasarkan minat dan bakat menggunakan teknologi Artificial Intelligence (AI). Pengabdian dilaksanakan melalui sosialisasi, workshop, dan tes minat bakat berbasis Artificial Intelligence (AI). Kegiatan ini diikuti oleh 70 siswa MA NU Karangploso, Kabupaten Malang. Evaluasi dilakukan melalui angket yang berisi 10 pernyataan dalam skala Likert, observasi, dan catatan lapangan sebelum dan sesudah kegiatan. Adapun hasil dari kegiatan ini adalah 95,7% siswa menyatakan lebih mengenal potensi dirinya, 92,85% percaya diri memilih jurusan, dan 90% siswa dapat menyebutkan 2–3 pilihan jurusan yang sesuai minat dan bakat masing-masing. Hal ini menunjukkan bahwa penggunaan teknologi Artificial Intelligence dapat membantu siswa membuat keputusan studi yang matang dan sesuai potensi. Abstract: Students at Madrasah Aliyah (MA) NU Karangploso often struggle to choose a major for further studies that aligns with their interests and talents, leading to immature decision-making. This community service aims to help students select majors based on their interests and talents using Artificial Intelligence (AI) technology. The program includes socialization, workshops, and AI-based talent interest test sessions. Seventy students from MA NU Karangploso in Malang Regency participated in the activity. Evaluations were conducted through questionnaires which contains 10 statements in Likert Scale, observation, and field note both before and after the program. The results indicated that 95.7% of students felt they had a better understanding of their potential, 92.85% felt confident in choosing a major, and 90% could identify 2-3 majors that matched their interests and talents. These findings demonstrate that AI technology can effectively assist students in making informed decisions about their studies based on their abilities.

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Journal Info

Abbrev

jmm

Publisher

Subject

Other

Description

JMM (Jurnal Masyarakat Mandiri) is a journal published by the Mathematics Education Departement of Education Faculty of Muhammadiyah University of Mataram. JMM (Jurnal Masyarakat Mandiri) aims to disseminate the results of conceptual thinking and ideas, especially the results of educational research ...