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All Journal Jurnal Riset Rumpun Ilmu Kesehatan (JURRIKES) MDP Student Conference
Daffa Ahmad Naufal
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Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Health Professions Medicine & Pharmacology Nursing Public Health

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Efektivitas Expressive Writing Therapy dalam Meningkatkan Self-Efficacy pada Siswa Kelas XII Nawzha Junaedi Airadhika; Daffa Ahmad Naufal; Abdul Rosyid; Aisyah Puspitasari
JURNAL RISET RUMPUN ILMU KESEHATAN Vol. 3 No. 2 (2024): Oktober : Jurnal Riset Rumpun Ilmu Kesehatan
Publisher : Pusat riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jurrikes.v3i2.8117

Abstract

Adolescence is a crucial period where individuals begin to build their self-identity in determining the direction of their lives, especially in grade XII students. Where this condition often causes anxiety, self-doubt, feelings of boredom, and social pressure, one important aspect that influences an individual's ability to adapt and resilience to these challenges is self-efficacy. Someone with high self-efficacy is usually more optimistic, resilient, and able to overcome challenges to achieve their goals. The purpose of this study was to determine the effectiveness of expressive writing techniques in improving self-efficacy. Participants in this study were 34 students, who were divided into two groups, namely the control group and the experimental group. The experimental group was given treatment in the form of expressive writing. This study used a Quasi-Experimental research type with a Two-Group Pretest-Posttest Design. Data analysis used in this study was processed using Jamovi software. While the data analysis method used was the paired test and independent sample T-Test. Based on the results of the analysis of the pretest and posttest scores of the experimental group, a significant value of 0.280 (p> 0.05) was shown, which means there was no significant difference in the level of students' self-efficacy after treatment. Thus, it can be concluded that expressive writing treatment can improve students' self-efficacy.
Klasifikasi Multikelas Support Vector Machine dengan Hibrida Directed Acyclic Graph One Vs One dan Rest Vs Rest pada Klasifikasi Tingkat Obesitas Daffa Ahmad Naufal; Christyan Tamaro Nadeak; Linda Rassiyanti; Fajri Farid
MDP Student Conference Vol 5 No 2 (2026): The 5th MDP Student Conference 2026
Publisher : Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/mdp-sc.v5i2.14097

Abstract

This research is focused on analyzing how well different multiclass Support Vector Machine (SVM) classification methods can predict obesity levels. It also presents a new hybrid Directed Acyclic Graph Rest-vs-Rest (DAG-RvR) method as a better option. The study utilizes a dataset called the Obesity Risk Prediction Cleaned, which has information on seven different obesity categories. The methods being assessed include One-vs-One (OvO), One-vs-Rest (OvR), DAG-One-vs-One (DAG-OvO), and the new DAG-RvR method. For fine-tuning the parameters, GridSearchCV and the RBF kernel were used. The findings reveal that DAG-RvR achieves an accuracy of 0.91, which is similar to OvO and DAG-OvO, but it trains much quicker, taking just 0.3422 seconds. Even though its precision, recall, and F1-score are a bit lower than the pairwise methods, DAG-RvR still maintains reliable multiclass performance. In summary, this method strikes a good balance between achieving high accuracy and being efficient in computations.
Co-Authors Abdul Rosyid Aisyah Puspitasari Christyan Tamaro Nadeak Fajri Farid Linda Rassiyanti Nawzha Junaedi Airadhika