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All Journal Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Jurnal Pengabdian Masyarakat Bangsa
Cahyani, Evril Fadrekha
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Klasifikasi Kesehatan Mental Mahasiswa dengan Algoritma J48 dan Hubungan Atribut Demografis serta Akademis Cahyani, Evril Fadrekha; Aeni, Alfina Nur; Wahyuni, Irmawati Tri; Tarwoto, T
Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Vol 9, No 2 (2024): Edisi Agustus
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/jurasik.v9i2.812

Abstract

The college years are a period of significant development in various aspects, including physical, psychological, and intellectual growth. Students often face mental health issues such as depression, anxiety, and panic attacks, which frequently go untreated and can persist into adulthood. This study aims to analyze the mental health of college students using the J48 algorithm to classify the target attribute "Did you seek any specialist for treatment?". The dataset used was sourced from a public repository, consisting of 101 instances. Through the stages of data collection, preprocessing, classification with the J48 algorithm, attribute correlation analysis, and comorbidity identification, the study found that 6% of students required specialist treatment, while 94% did not. Further analysis revealed that mental health issues are more prevalent among women and first-year students. Depression affects 82.86% of women, anxiety affects 70.59% of women, and panic attacks affect 75.76% of women. The study also identified comorbidities where some students experienced more than one mental health issue. The findings highlight the importance of social support and a conducive learning environment to improve students' mental well-being. These findings can be used to develop more effective interventions to support students' mental health and academic success.
Pelatihan dan Pendampingan Guru TK Bukateja: Pemanfaatan AI dalam Penyusunan RPP Digital dan Pembuatan Konten Digital Berbasis Canva Imron, Mohammad; Cahyani, Evril Fadrekha; Syamsudin, Fatih
Jurnal Pengabdian Masyarakat Bangsa Vol. 3 No. 8 (2025): Oktober
Publisher : Amirul Bangun Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59837/jpmba.v3i8.3235

Abstract

Pelatihan dam pendampingan guru Taman Kanak-Kanak (TK) di Kecamatan Bukateja ini bertujuan untuk meningkatkan kompetensi digital melalui pemanfaatan kecerdasan buatan (AI) dalam menyusun Rencana Pelaksanaan Pembelajaran (RPP) digital dan penggunaan Canva dalam pembuatan konten pembelajaran interaktif. Kegiatan ini dilaksanakan melalui metode ceramah, praktik langsung, dan pendampingan itensif selama emapt pertemuan dengan total peserta sebanyak 20 guru. Evaluasi dilakukan menggunakan pre-test, post-test, dan kuesioner kepuasan. Hasil menunjukan peningkatan kompetensi digital guru sebesar 59.2% dengan capaian target kegiatan di atas 85%. Guru mampu menghasilkan RPP digital berbasis AI dan berbagai media ajar kreatif melalui Canva. Tingkat kepuasan peserta mencapai 95% dengan kategori sangat memuaskan. Selain peningkatan keterampilan teknis, kegiatan ini juga memberikan dampak positif terhadap kepercayaan diri, sikap, dan kreativitas guru dalam mengintegrasikan teknologi ke dalam pembelajaran anak usia dini.
Co-Authors Aeni, Alfina Nur Mohammad Imron Syamsudin, Fatih Tarwoto, T Wahyuni, Irmawati Tri