Abstract:The issue of bullying has a severe impact on the mental and physical well-being of the victim, with fatal consequences such as severe depression or death. Parental influence is crucial in preventing bullying. Children tend…
nd to mimic their parents' attitudes and behaviours. Positive attitudes, empathy and tolerance from parents can encourage children to adopt these values. Parents who are actively involved and open to effective communication help children develop empathy and feel supported, making them more likely to report or seek help in bullying situations. Parents need to understand the psychological and legal aspects of bullying and school violence prevention to protect their children's well-being. Psychological knowledge helps recognise early signs of trauma and provide emotional support, as well as establishing the values of empathy, tolerance and respect in children. Legal knowledge enables parents to take appropriate action if their child is victimised, liaise with schools and authorities, and ensure anti-bullying policies are implemented. This regulation creates a safe and supportive environment for children to grow. Strengthening parents' understanding and knowledge of bullying prevention and its psychological and legal impacts was done through counselling activities. This counselling presented material on the psychological impact of bullying on children and the legal consequences for perpetrators and omission of bullying activities for both children and schools and parents. The counselling sessions were attended by parents, teachers, and school committees. The counselling participants said that after attending the training, their knowledge about bullying, its impact, and preventive measures improved. The results of the questionnaire before and after attending the counselling showed increased participants' understanding.
Keywords: bullying; prevention; violence
Abstrak: Perundungan dan kekerasan di sekolah berdampak parah pada perkembangan mental dan emosional anak serta mengganggu proses belajar mengajar. Data FSGI, pada periode Januari-Juli 2023 terdapat 16 kasus perundungan dengan 43 korban. Jumlah ini meningkat menjadi 23 kasus pada periode Januari-September 2023, dengan tingkat perundungan tertinggi terjadi di sekolah menengah pertama (SMP) yang mencapai 50%, bahkan 2 orang meninggal dunia selama periode tersebut SMP Muhammadiyah Kembaran juga menghadapi masalah ini. Untuk mencegah bullying dan kekerasan, diadakan penyuluhan dengan metode ceramah dan diskusi guna memberikan pemahaman komprehensif dan praktis. Kegiatan ini melibatkan guru dan orang tua untuk menciptakan lingkungan sekolah yang aman. Hasil penyuluhan menunjukkan peningkatan pemahaman dan kesadaran peserta tentang dampak negatif bullying dan kekerasan serta pentingnya peran setiap orang dalam pencegahannya, yang terbukti dari hasil kuesioner sebelum dan sesudah sesi penyuluhan.
Kata kunci: kekerasan; perundungan; pencegahan
Abstract:Abstract: Drugs are a physical and mental health problem that has an impact on anxiety disorders, social behavior disorders, depression, lowers consciousness, disrupts quality of life and even causes death. The partner's…
problem is the lack of education for the young millennial generation in Teluk Kayu Putih Village regarding drug abuse. This service takes place in Teluk Kayu Putih Village, VII Koto District, Tebo Regency, Jambi Province. The aim of this outreach is to increase public awareness about the dangers of drug abuse for the young millennial generation. The material is presented through lecture and discussion methods with the help of power point slides and an LCD projector. The results of the outreach show that the generation of millennial youth in Teluk Kayu Putih Village is aware of the dangers and consequences of drug abuse.
Keywords: drugs; millennial young generation
Abstrak: Narkoba merupakan masalah kesehatan fisik dan mental yang berdampak terhadap gangguan kecemasan, gangguan prilaku sosial, depresi, menurunkan kesadaran, mengganggu kualitas hidup bahkan sampai menyebabkan kematian. Permasalah mitra yaitu kurangnya edukasi kepada generasi muda milenial di Desa Teluk Kayu Putih terhadap penyalahgunaan narkoba. Pengabdian ini bertempat di Desa Teluk Kayu Putih, Kecamatan VII Koto, Kabupaten Tebo, Provinsi Jambi. Tujuan penyuluhan ini adalah untuk meningkatkan kesadaran masyarakat tentang bahaya penyalahgunaan narkoba bagi generasi muda milenial. Materi disampaikan melalui metode ceramah dan diskusi dengan bantuan slide power point dan proyektor LCD. Hasil penyuluhan menunjukkan bahwa generasi pemuda milenial Desa Teluk Kayu Putih menyadari bahaya dan konsekuensi penyalahgunaan narkoba.
Kata kunci: penyalahgunaan narkoba; generasi muda milenial
Abstract:Abstract: Mental health issues, particularly depression among young adult university students, are often detected late due to stigma and reluctance to seek medical consultation. The objective of this study is to develop…
an early screening model employing machine learning techniques, specifically the random forest algorithm, on a dataset of 268 students (aged 17-29 years; consisting of 98 males and 170 females) within a multicultural educational setting. The principal challenges associated with this dataset are class imbalance and the potential for data leakage from clinical scores. This study implements a rigorous feature selection approach that involves the elimination of depression score features and the utilization of the Synthetic Minority Over-sampling Technique (SMOTE) to balance the training data distribution. Furthermore, a Threshold Tuning strategy is employed to prioritize detection sensitivity (Recall). The findings indicate that reducing the decision threshold to an optimal value of 0.25 led to a substantial enhancement in the recall value, increasing it from 36% (baseline) to 77%. A feature importance analysis was conducted, the results of which indicated that Total Social Connectedness (ToSC) is the most dominant predictor. In summary, the present study corroborates the notion that optimizing sensitivity through threshold tuning is of paramount importance for medical screening. Furthermore, social isolation factors emerge as more significant indicators of depression risk than demographic attributes.
Keywords: data mining; depression; imbalanced data; random forest; smote; threshold tuning
Abstrak: Masalah kesehatan mental, khususnya depresi di kalangan mahasiswa dewasa muda, sering terdeteksi terlambat akibat stigma dan enggan mencari konsultasi medis. Tujuan studi ini adalah mengembangkan model skrining dini menggunakan teknik machine learning, khususnya algoritma random forest, pada dataset 268 mahasiswa (usia 17-29 tahun; terdiri dari 98 laki-laki dan 170 perempuan) dalam lingkungan pendidikan multikultural. Tantangan utama yang terkait dengan dataset ini adalah ketidakseimbangan kelas dan potensi kebocoran data dari skor klinis. Studi ini menerapkan pendekatan seleksi fitur yang ketat, yang melibatkan eliminasi fitur skor depresi dan penggunaan Teknik Over-sampling Minoritas Sintetis (SMOTE) untuk menyeimbangkan distribusi data pelatihan. Selain itu, strategi Penyesuaian Ambang Batas diterapkan untuk memprioritaskan sensitivitas deteksi (Recall). Hasil penelitian menunjukkan bahwa mengurangi ambang batas keputusan ke nilai optimal 0,25 menyebabkan peningkatan signifikan dalam nilai recall, dari 36% (dasar) menjadi 77%. Analisis pentingnya fitur dilakukan, hasilnya menunjukkan bahwa Total Social Connectedness (ToSC) adalah prediktor yang paling dominan. Secara ringkas, studi ini membenarkan bahwa mengoptimalkan sensitivitas melalui penyesuaian ambang batas sangat penting untuk skrining medis. Selain itu, faktor isolasi sosial muncul sebagai indikator risiko depresi yang lebih signifikan daripada atribut demografis.
Kata kunci: penambangan data; depresi; data tidak seimbang; hutan acak; smote; penyesuaian ambang batas
Abstract:Abstract: The habit of smoking is dangerous because of the addictive substances that make cigarettes addictive. Its addictive nature poses a significant risk, affecting personality with stress, depression and nervous disorders.…
orders. Body factors that indicate smoking include blood sugar levels, dental caries, and hemoglobin. To address this, research has been conducted with focused efforts to understand and address the risks associated with smoking and its impact on overall health. This research aims to choose the best method for predicting smokers by using feature selection techniques. The feature selection algorithms uses for that are Analysis of Variance (ANOVA), Recursive Feature Elimination (RFE), and Genetic Algorithm (GA) to select optimal attributes and uses the k-fold cross validation technique as the validation of the Artificial Neural Network algorithm. The data includes various parameters such as age, height, weight, vision, blood pressure, cholesterol, triglycerides, hemoglobin, AST, ALT, GTP, gender, dental caries and tartar. Hearing ability, urine protein content, and tartar were selected. The results showed that using the Analysis of Variance method showed higher accuracy (77.101%) compared to the Genetic Algorithm method (74.64%) and the Recursive Feature Elimination method (76.08%). Selection of relevant attributes increases the predictions and insights of the Artificial Neural Network model about the effects of smoking on health.
Keywords: artificial neural network; analysis of variance; genetic algorithm; recursive feature elimination; smoker prediction
Abstrak: Kebiasaan merokok berbahaya karena adanya zat adiktif yang membuat rokok menjadi ketagihan. Sifatnya yang membuat ketagihan menimbulkan risiko yang signifikan, mempengaruhi kepribadian dengan stres, depresi, dan gangguan saraf. Faktor tubuh yang mengindikasikan kebiasaan merokok antara lain kadar gula darah, karies gigi, dan hemoglobin. Untuk mengatasi hal ini, penelitian telah dilakukan dengan upaya terfokus untuk memahami dan mengatasi risiko yang terkait dengan merokok dan dampaknya terhadap kesehatan secara keseluruhan. Penelitian ini bertujuan untuk memilih metode terbaik dalam memprediksi perokok dengan menggunakan teknik seleksi fitur. Metode seleksi fitur yang digunakan adalah Analysis of Variance (ANOVA), Recursive Feature Elimination (RFE), dan Genetic Algorithm (GA) untuk memilih atribut yang optimal dan menggunakan teknik k-fold cross validation sebagai validasi algoritma Artificial Neural Network. Data tersebut mencakup berbagai parameter seperti umur, tinggi badan, berat badan, penglihatan, tekanan darah, kolesterol, trigliserida, hemoglobin, AST, ALT, GTP, jenis kelamin, karies gigi dan karang gigi. Kemampuan pendengaran, kandungan protein urin, dan karang gigi dipilih. Hasil penelitian menunjukkan bahwa penggunaan metode Analysis of Variance menunjukkan akurasi yang lebih tinggi (77,101%) dibandingkan dengan metode Genetic Algorithm (74,64%) dan metode Recursive Feature Elimination (76,08%). Pemilihan atribut yang relevan meningkatkan prediksi dan wawasan model Jaringan Syaraf Tiruan tentang dampak merokok terhadap kesehatan.
Kata kunci: artificial neural network; analysis of variance; genetic algorithm; prediksi perokok; recursive feature elimination
Abstract:Teenage pregnancy is a complex global issue with a significant impact on maternal mental health. This study aims to conduct a Systematic Literature Review (SLR) analysis of the relationship between teenage pregnancy and…
maternal mental health, with a focus on the impact, influencing factors, and variations in findings based on geographic and cultural context. Literature searches were carried out through scientific databases such as PubMed, Google Scholar, and several international journals. Inclusion criteria included studies that addressed the impact of teenage pregnancy on maternal mental health, with analysis of factors influencing this relationship as well as variations in findings based on geographic and cultural context. This SLR analysis identified that teenage pregnancy consistently has a negative impact on maternal mental health, including increasing the risk of stress, anxiety and depression. Factors such as social support, social stigma, and economic conditions play an important role in influencing the mental health of teenage mothers. The variety of findings suggests that cultural norms, family structure, and global crises such as the COVID-19 pandemic may significantly influence the experience and impact of teen pregnancy. These findings highlight the need for a holistic approach in supporting the mental health of teenage mothers, including increasing access to affordable mental health services, strong social supports, and educational programs that strengthen community awareness. Evidence-based policy implications can help reduce the negative impact of teenage pregnancy on maternal mental health, by integrating cultural and contextual perspectives in interventions aimed at improving the well-being of teenage mothers worldwide.
Abstract:This study investigates the relationship between teenage pregnancy and future maternal mental health by using qualitative methods and relying on literature review as the main data source. The background of this study is…
based on the importance of a deeper understanding of the impact of teenage pregnancy on maternal mental health, given the high prevalence of teenage pregnancy in Indonesia and its long-term negative impact. The purpose of this study is to investigate the factors that support or hinder the mental health of mothers who experience teenage pregnancy, and to present key findings from the relevant literature in this context. The research method used was a qualitative analysis of relevant literature studies found through systematic searches in academic databases and scientific journals. This approach allowed us to explore the findings of various studies and gain an in-depth understanding of the phenomenon under study. The main results of this study show that teenage pregnancy has a significant impact on the mother's future mental health, including an increased risk of depression, anxiety and postnatal stress. Factors such as social support, access to mental health services, and economic conditions play an important role in determining the mother's future mental health. The conclusion of this study is that efforts to improve future maternal mental health should be a priority in public policy and clinical practice. A holistic approach that takes into account the various factors that influence maternal mental health, as well as cross-sectoral cooperation, is needed to create a supportive environment for adolescent mothers to achieve optimal mental well-being.
Abstract:Kinerja perawat merupakan faktor penting dalam menjamin mutu pelayanan kesehatan. Salah satu faktor yang mempengaruhi kinerja perawat adalah stres kerja. Stres kerja yang tidak terkelola dengan baik dapat berdampak pada…
penurunan produktivitas dan kualitas pelayanan keperawatan. Mengetahui hubungan stres kerja dengan kinerja perawat di Rumah Sakit Umum Pusat Surakarta. Penelitian ini merupakan penelitian kuantitatif dengan rancangan deskriptif korelasional menggunakan pendekatan cross sectional. Teknik pengambilan sampel menggunakan total sampling dengan sebanyak 54 responden. Instrumen penelitian menggunakan DASS (Depression Anxiety Stress Scale) untuk mengukur stres kerja dan Kuesioner Kinerja Perawat. Analisis univariat meliputi usia, jenis kelamin, pendidikan, masa kerja, status kepegawaian, stres kerja dan kinerja. Analisis bivariat menggunakan Uji Kendall Tau. Hasil penelitian didapatkan stres kerja mayoritas pada kategori stres sedang sebanyak 33 responden (61.1%). Kinerja perawat mayoritas pada kategori kinerja sedang sebanyak 28 responden (51.9%). Hasil Uji Kendall Tau didapatkan nilai p value 0,00 < 0,05 dengan hasil korelasi positif 0.676, hal ini dapat disimpulkan bahwa penelitian ini memiliki hubungan yang kuat antara stres kerja dengan kinerja perawat. Terdapat hubungan antara stres kerja dengan kinerja perawat di Rumah Sakit Umum Pusat Surakarta.
Abstract:Dalam era yang dipenuhi dengan tekanan sosial, kesejahteraan mental remaja menjadi semakin penting untuk dipahami dan ditangani dengan serius. Dukungan sosial yang diterima oleh remaja dianggap sebagai faktor kunci dalam…
memengaruhi tingkat depresi yang mereka alami. Kurangnya dukungan sosial dapat membuat remaja merasa terisolasi dan rentan terhadap depresi. Tujuan penelitian ini yaitu untuk mengetahui hubungan dukungan sosial dengan tingkat depresi pada remaja di SMP Islamic Centre Kota Tangerang. Penelitian ini menggunakan metode kuantitatif dengan pendekatan cross-sectional. Pemilihan sampel menggunakan Stratified Random Sampling dengan jumlah responden sebanyak 188 orang. Data dikumpulkan melalui kuesioner Student Social Support Scale (SSSS) untuk mengukur dukungan sosial dan Beck Depression Inventory-II (BDI-II) untuk mengukur tingkat depresi remaja. Hasil penelitian ini menunjukkan bahwa sebanyak 101 remaja (53,7%) memiliki dukungan sosial berkategori sedang, 76 remaja (40,4%) memiliki dukungan sosial tinggi, dan terdapat 11 remaja (5,9%) yang memiliki dukungan sosial rendah. Sedangkan untuk tingkat depresi, menunjukkan bahwa sebanyak 109 remaja (58%) tidak mengalami depresi, 32 remaja (17,0%) mengalami depresi ringan, 29 remaja (15,4%) mengalami depresi sedang, dan 18 remaja (9,6%) mengalami depresi berat. Hasil uji Chi-Square menunjukkan nilai p-value = 0,000. Kesimpulan penelitian ini menunjukkan adanya hubungan yang signifikan antara dukungan sosial dan tingkat depresi pada remaja di SMP Islamic Centre Kota Tangerang dengan nilai p-value = 0,000 (p < 0,05).