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SELF- INJURY PADA MAHASISWA SEMESTER AWAL DITINJAU DARI SELF-COMPASSION Supradewi, Ratna
Psikosains: Jurnal Penelitian dan Pemikiran Psikologi Vol 19 No 1 (2024)
Publisher : Universitas Muhammadiyah Gresik

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Abstract

Objective: This research aims to examine empirically whether there is arelationship between self-compassion and self-injury in first semester students,Faculty of Psychology, Unissula Semarang. Method: This research isquantitative using correlational methods. The research subjects were 88 firstsemester students consisting of 72 women and 16 men. The subject samplingtechnique used purposive sampling. This research data was collected using twoscales. The self-injury scale from Fiqria (2018) has an alpha reliability of 0.950,and the self-compassion scale from Susanti (2019) which has an alpha reliabilityof 0.920. Result: Research data analysis used non-parametric Spearmancorrelation, because the data distribution did not normal. The result obtained acorrelation coefficient of -0.437, and a significance level of 0.000 (p < 0.05)using Spearman's rho correlation. This correlation is stated to be quite strong(0.26 – 0.50 quite strong correlation category). Conclusion: It can be concludedthat the hypothesis is accepted, that there is a significant negative relationship between self-compassion and self-injury. The higher the student's self-compassion, the lower the student's self-injury, and vice versa.
Revenge Bedtime Procrastination: A Self-Love Phenomenon or Revenge Against Yourself? Alqo'idah, Wardah; Nabila, Tsania Zahrotun; Ar-raza, Muhammad Firdaus; Supradewi, Ratna
Jurnal Psikologi Perseptual Vol 8, No 2 (2023): Jurnal Psikologi Perseptual
Publisher : Universitas Muria Kudus

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24176/perseptual.v8i2.10229

Abstract

Having a hectic daily routine often makes a person lose time to relax for himself, commonly called "me time". This turned out to be a factor in the emergence of the Revenge Bedtime Procrastination phenomenon, namely delaying sleep to take revenge for not having free time during the day. This study aimed to determine the effect of self-love therapy on reducing Revenge Bedtime Procrastination behavior. The subjects in this study were students of the Faculty of Nursing, S1 Islamic University, Sultan Agung Semarang, with a population of 236 students. In this study, purposive sampling obtained a sample of 14 students and then divided them into two groups, namely the experimental and control groups. Data were collected through the Bedtime Procrastination Scale, observation, and interviews. Data were analyzed using a quantitative approach. The results of the paired-sample t-test analysis obtained a p of 0.001 at the significance level (0.001 0.005). Then in the independent t-test, p was 0.001 at the significance level (0.001 0.05). It can be said that the experimental group and control group saw a significantly different score drop. These results indicate that after self-love therapy, the subject's level of revenge bedtime procrastination decreased significantly. Memiliki kesibukan harian yang padat seringkali membuat seseorang kehilangan waktu bersantai untuk diri sendiri atau biasa disebut “me time”. Hal itu ternyata menjadi faktor penyebab munculnya fenomena Revenge Bedtime Procrastination, yaitu menunda waktu tidur dengan tujuan untuk balas dendam karena tidak memiliki waktu luang di siang hari. Tujuan dari penelitian ini adalah mengetahui pengaruh self-love therapy untuk menurunkan perilaku Revenge Bedtime Procrastination. Subjek pada penelitian ini yaitu mahasiswa Fakultas Ilmu Keperawatan S1 Universitas Islam Sultan Agung Semarang dengan populasi sebanyak 236 mahasiswa. Pengambilan sampel penelitian ini menggunakan purposive sampling yang diperoleh sampel sebanyak 14 mahasiswa kemudian dibagi menjadi dua kelompok, yaitu kelompok eksperimen dan kontrol. Data dikumpulkan melalui skala Bedtime Procrastination Scale, observasi, dan wawancara. Data dianalisis menggunakan pendekatan kuantitatif. Hasil analisis paired-sample t-test diperoleh p sebesar 0.001 pada taraf signifikansi (0.0010.005). Kemudian pada uji independent t-test diperoleh p sebesar 0.001 pada taraf signifikansi (0.0010.05). Hal ini dapat dikatakan bahwa terdapat perbedaan yang signifikan antara kelompok eksperimen dan kelompok kontrol. Hasil tersebut menunjukkan bahwa setelah melakukan self-love therapy tingkat revenge bedtime procrastination subjek mengalami penurunan yang signifikan.
Large language models and retrieval-augmented generation-based chatbot for adolescent mental health Riansyah, Andi; Subroto, Imam Much Ibnu; Nur'aini, Intan; Supradewi, Ratna; Suyanto, Suyanto
International Journal of Advances in Applied Sciences Vol 14, No 3: September 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijaas.v14.i3.pp849-858

Abstract

Access to fast and efficient information is crucial in today's digital era, especially for teenagers in obtaining mental health services. The manual method used by Youth Information and Counselling Centre (PIK R) to provide mental health information requires significant time and effort. This research presents an AI-based solution by developing a chatbot system using retrieval-augmented generation (RAG) and large language models (LLM). This chatbot is designed to provide accurate and effective mental health information for teenagers throughout the day. An analysis of a dataset consisting of articles on teenage mental health and data from the Alodokter website was used as the basis for the development of this chatbot. The research results show that the chatbot is capable of providing relevant and accurate information, with evaluations using the recall-oriented understudy for gisting evaluation (ROUGE) score method yielding an average of ROUGE-1 with a precision of 87.8%, recall of 83.0%, and F1-measure of 84.0%; ROUGE-2 with a precision of 82.8%, recall of 76.8%, and F1-measure of 78.2%; and ROUGE-L with a precision of 88.0%, recall of 82.6%, and F1-measure of 83.4%. These findings indicate the potential use of chatbots as an effective tool to support the mental health of adolescents.