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All Journal Jurnal Pendidikan Kesehatan Rekreasi Jurnal Pedagogik Olahraga Indonesian Journal of Sport Management ACTIVE: Journal of Physical Education, Sport, Health and Recreation JSSF : Journal of Sport Science and Fitness
Jajat
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Classifying Physical Activity Levels in Early Childhood Using Actigraph and Machine Learning Method Wandani, Syifa; Suherman, Adang; Jajat; Sultoni, Kuston; Ruhayati, Yati; Damayanti, Imas; Rahayu, Nur Indri
Indonesian Journal of Sport Management Vol. 3 No. 2 (2023): Indonesian Journal of Sport Management
Publisher : Universitas Majalengka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31949/ijsm.v3i2.7173

Abstract

Actigraph is a widely used accelerometer for classifying physical activity levels in children, adolescents, adults, and older people. The classification of physical activity levels on Actigraph is determined through time calculations using cut-point formulas. The study aims to classify physical activity in young children according to the guidelines of the World Health Organization (WHO) using accelerometer data and machine learning methods. The study involved 52 young children (26 girls and 26 boys) aged 4 to 5 years in West Java, with an average age of 4.58 years. Physical activity and sedentary behavior of these early childhood were simultaneously recorded using the Actigraph GT3X accelerometer for seven days. The data from the Actigraph were analyzed using two algorithm models: the decision tree and support vector machine, with the Rapidminer application. The results from the decision tree model show a classification accuracy of 96.00% in categorizing physical activities in young children. On the other hand, the support vector machine model achieved an accuracy of 84.67% in classifying physical activities in young children. The decision tree outperforms the support vector machine in accurately classifying physical activities in early childhood. This research highlights the potential benefits of machine learning in sports and physical activity sciences, indicating the need for further development.
Kepatuhan terhadap Pedoman Aktivitas Fisik WHO pada Anak Usia Dini : Evaluasi dengan Metode Machine learning Ramdhan, Akhmad Faizal; Suherman, Adang; Jajat; Sultoni, Kuston; Damayanti, Imas; Ruhayati, Yati
Jurnal Pendidikan Kesehatan Rekreasi Vol. 10 No. 1 (2024): Januari 2024
Publisher : Program Studi Pendidikan Jasmani Kesehatan dan Rekreasi FKIP Universitas PGRI Mahadewa Indonesia bekerjasama dengan Asosiasi Prodi Olahraga Perguruan Tinggi PGRI (APOPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59672/jpkr.v10i1.3490

Abstract

Studi ini berupaya untuk mengevaluasi dan mengukur tingkat aktivitas fisik anak usia dini sejalan dengan pedoman Organisasi Kesehatan Dunia (WHO), menggunakan teknik klasifikasi machine learning pada data yang diperoleh dari kuesioner. Menyadari pentingnya aktivitas fisik di tahun-tahun formatif, penelitian ini bertujuan untuk menilai kepatuhan terhadap ambang batas aktivitas yang direkomendasikan WHO pada anak usia dini. Metodologi ini mengintegrasikan kuesioner komprehensif yang mengungkap beragam aspek pola aktivitas fisik anak usia dini, yang mencakup durasi, intensitas, dan jenis aktivitas yang dilakukan dalam berbagai situasi. Sebanyak 99 orang tua siswa melaporkan aktivitas keseharian anak mereka yang berusia 4 sampai 5 tahun (M = 4,59±0,41). Dengan memanfaatkan model klasifikasi algoritma machine learning decision tree, penelitian ini memproses data yang dikumpulkan untuk membedakan pola dan mengklasifikasikan tingkat aktivitas berdasarkan kriteria WHO. Hasilnya menunjukkan, indikator waktu aktivitas, waktu tidur dan waktu bermain menjadi indikator penentu decision tree dalam mengklasifikasi kepatuhan anak usia dini terhadap rekomendasi aktivitas fisik WHO. Lebih lanjut, machine learning decision tree sangat efektif dalam mengevaluasi dan mengklasifikasikan kepatuhan aktivitas fisik anak usia dini dengan performa akurasi 90%. Efektivitas pendekatan machine learning decision tree dalam mengevaluasi dan mengkategorikan tingkat aktivitas fisik anak usia dini secara akurat, menyoroti bidang-bidang potensial untuk intervensi dan strategi yang ditargetkan untuk meningkatkan kepatuhan terhadap aktivitas fisik yang direkomendasikan oleh WHO. Metodologi ini menawarkan instrumen yang menjanjikan bagi para profesional kesehatan, pembuat kebijakan, dan pendidik untuk lebih memahami dan mengatasi perilaku aktivitas fisik anak usia dini, sehingga berkontribusi terhadap promosi gaya hidup sehat sejak usia dini.
Prediksi BMI Berdasarkan Level Aktivitas Fisik dengan Metode Analisis Machine Learning Saputra, Diki Saputra; Jajat; Damayanti, Imas; Sultoni, Kuston; Ruhayati, Yati; Rahayu, Nur Indri
Jurnal Pendidikan Kesehatan Rekreasi Vol. 10 No. 1 (2024): Januari 2024
Publisher : Program Studi Pendidikan Jasmani Kesehatan dan Rekreasi FKIP Universitas PGRI Mahadewa Indonesia bekerjasama dengan Asosiasi Prodi Olahraga Perguruan Tinggi PGRI (APOPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59672/jpkr.v10i1.3499

Abstract

Prevalensi obesitas telah menjadi salah satu isu global dalam bidang kesehatan di masyarakat. Sementara itu aktivitas fisik diakui menjadi salah satu yang memiliki peran penting dalam mengatasi prevalensi obesitas. Tujuan penelitian ini yaitu untuk menjelaskan hubungan aktivitas fisik dengan Body Mass Index (BMI) dengan metode ML yang saat ini tengah populer. Sumber data yang digunakan yaitu dari kelompok bidang keilmuan sport and physical activity program studi Ilmu Keolahragaan, Universitas Pendidikan Indonesia. Total 212 (usia 19-23 tahun) partisipan yang memenuhi kriteria, terlibat dalam penelitian ini. IPAQ-SF digunakan untuk memperoleh data terkait dengan aktivitas fisik partisipan. Empat metode algoritma ML yaitu decision tree, naïve bayes, k-nearest neighbors (KNN), dan random forest digunakan untuk menganalisis data. Hasil penelitian menunjukkan bahwa algoritma naive bayes memiliki performa paling unggul (akurasi = 52,38%; sensitifitas = 51,65%; spesifisitas = 53,33%) dari ketiga model ML lainnya, sementara KNN paling rendah baik akurasi, sensitifitas, maupun spesifisitas (42,86%) dalam memprediksi BMI berdasarkan level aktivitas fisik. Aktivitas fisik memiliki peran penting dalam memprediksi BMI selain faktor lainnya seperti jenis kelamin dan perilaku sedentary.
Physical Condition and Concentration on Pencak Silat Athletes Salsaputri, Della; Sultoni, Kuston; Jajat; Ruhayati, Yati; Nur Ajid, Oktoviana
Journal of Sport Science and Fitness Vol. 11 No. 1 (2025): Journal of Sport Science and Fitness
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jssf.v11i1.25638

Abstract

Introduction: Physical condition and concentration are key factors influencing the performance of pencak silat athletes in both fighter and artistic categories. However, the relationship between these two aspects has rarely been explored specifically in this sport. Objectives: This study aimed to compare physical condition and concentration levels between athletes in the fighter and artistic categories, and to examine the relationship between the. Method: A cross-sectional design was used involving 36 athletes (18 fighter and 18 artistic). Physical condition was assessed through power, speed, agility, and endurance tests, while concentration was measured using the Grid Concentration Test (GCT). Data were analyzed using independent samples t-tests and Pearson correlation. Result: The results showed that fighter athletes had significantly higher power, speed, and endurance (p < 0.05), whereas artistic athletes had significantly better agility (p < 0.05). No significant differences in concentration levels were found between the two groups (p > 0.05). Additionally, there was no significant correlation between physical condition and concentration in either group (p > 0.05). Conclusion: These findings suggest that physical and cognitive aspects may develop independently. Therefore, training programs should incorporate both components to enhance overall athlete performance.
Physical Activity as an Antidepressant for Psychiatric Hospital Patients Mushoddiq Kalimatullah; Kuston Sultoni; Yati Rohayati; Jajat
ACTIVE: Journal of Physical Education, Sport, Health and Recreation Vol. 14 No. 2 (2025)
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/active.v14i2.29332

Abstract

Depression is a serious mental disorder that significantly impacts an individual's quality of life. Physical activity is considered a non-pharmacological program with the potential to alleviate depressive symptoms through biological, psychological, and social mechanisms. This study aims to evaluate the relationship between physical activity levels and depression levels among patients undergoing psychosocial rehabilitation at Marzoeki Mahdi Mental Hospital, Bogor. This research employs a quantitative design with a descriptive-correlational approach. A total of 26 patients diagnosed with major depressive disorder who actively participated in physical activity programs were purposively selected. The instruments used included the Hamilton Rating Scale for Depression (HRSD) and the Q-MOVE (Questionnaire of 24-Hour Movement Behaviors). The analysis results indicated no significant relationship between sleep duration or physical activity levels (sedentary, moderate, vigorous) and depression levels. However, a significant positive correlation was found between moderate and vigorous physical activity. This study concludes that although no direct relationship was found between physical activity and depression, an active behavior pattern still has the potential to support recovery. Further studies with a longitudinal design and larger sample sizes are needed to explore a more accurate causal relationship. 
Aktivitas Fisik dan Kebugaran Fungsional Lansia Raihan Rizki Ramadhan; Jajat; Kuston Sultoni; Adang Suherman; Yati Ruhayati
Jurnal Pedagogik Olahraga Vol. 11 No. 2 (2025): Jurnal Pedagogik Olahraga
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/jpor.v11i2.68631

Abstract

Penelitian ini bertujuan untuk mengetahui hubungan aktivitas fisik dan kebugaran fungsional pada lansia yang mengikuti klub kebugaran lansia Yakes di kota Bandung. Penelitian ini merupakan penelitian observasional analitik dengan pendekatan kuantitatif. Populasi dalam penelitian ini adalah lansia yang mengikuti klub kebugaran Yakes, kemudian penentuan sampel menggunakan teknik Purposive Sampling, sehingga didapatkan sampel sebanyak 20 orang lansia yang mengikuti klub kebugaran Yakes. Data aktivitas fisik dikumpulkan melalui instrument International Physical Activity Questionnnaire (IPAQ), sedangkan data kebugaran fungsional dikumpulkan melalui instrument Seniot Fitness Test (SFT). kemudian data dianalisis menggunakan uji Shapiro-Wilk dan uji Pearson Product Moment. Hasil Penelitian menunjukan sebagian komponen variabel kebugaran fungsional dan tingkat aktivitas fisik berhubungan memiliki nilai korelasi positif sedang dan kuat. Maka dapat disimpulkan bahwa antara variabel kebugaran fungsional dan aktivitas fisik memiliki hubungan yang kuat dan signifikan. Hal ini menandakan bahwa aktivitas fisik yang baik dan teratur akan sangat berpengaruh pada kebugaran fungsional seiring usia bertambah
Sleep Disorders and Mood in Sports Students Salsa Muzdalipa; Mohammad Zaky; Jajat; Yati Ruhayati
ACTIVE: Journal of Physical Education, Sport, Health and Recreation Vol. 14 No. 3 (2025)
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/active.v14i3.34747

Abstract

This study aims to determine the relationship between sleep disturbances and mood swings in sports students. Sleep disturbances are known to affect cognitive function, physical performance, and an individual's psychological state, particularly in adolescents undergoing developmental transitions. The study employed a quantitative approach with a cross-sectional design, involving 50 students majoring in Sports Science at the Indonesian University of Education, consisting of 27 males and 23 females aged 19–20 years. The instruments used included the Pittsburgh Sleep Quality Index (PSQI) to measure sleep quality and the Brunel Mood Scale (BRUMS) to assess mood. Data analysis was performed using a correlation test using SPSS version 26. The results showed that the majority of respondents experienced negative moods (78.6%), with tension and fatigue items being the most dominant. However, no significant relationship was found between sleep quality and mood swings (p > 0.05). This finding indicates that other factors such as lifestyle, academic stress, and social environment have the potential to have a greater influence on the mood of sports students. Further research with a larger sample size is recommended to deepen the understanding of the relationship between sleep disturbances and students' psychological state.  
A Bibliometric Review: Global Sport Injury Research in Adolescent Athletes Alzenna Amalia Putri; Kuston Sultoni; Yati Ruhayati; Jajat
ACTIVE: Journal of Physical Education, Sport, Health and Recreation Vol. 14 No. 1 (2025)
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/active.v14i1.22493

Abstract

Sports injury in adolescent athletes is an important issue that can impact their physical and mental development and future performance. This study analyzed research trends related to injury in adolescent athletes using bibliometric methods based on publications in the Scopus database during the period 2018-2025. The analysis showed that the number of publications has increased significantly since 2018, with a peak in 2024. The United States, the United Kingdom and Australia are the countries with the largest contributions to this research, as well as building extensive international collaborations. Keyword mapping revealed that factors such as age, injury history, body mass index (BMI) and training intensity play a role in increasing injury. Additionally, the study identified research challenges, including language bias and publication selectivity, indicating the need for further exploration with a more diverse range of literature sources. The findings provide insight into sports injury research trends and may guide future studies to increase awareness and injury prevention efforts in adolescent athletes.
Mood Changes and Physical Activity Patterns in Adolescents Ferdy Febrian; Kuston Sultoni; Mohammad Zakky; Jajat
ACTIVE: Journal of Physical Education, Sport, Health and Recreation Vol. 14 No. 1 (2025)
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/active.v14i1.22572

Abstract

This study aims to analyze the relationship between physical activity patterns and mood changes in adolescents using an objective measurement approach. This cross-sectional study involved 50 adolescent participants. Physical activity was measured using the ActiGraph GT3X accelerometer, while mood changes were assessed using the Brunel Mood Scale (BRUMS). Data were analyzed using Spearman’s correlation test with a significance level of p < 0.05. Findings indicate that participants spent most of their time engaged in sedentary behavior (M = 1194.42 minutes/day, SD = 42.543), while moderate-to-vigorous physical activity (MVPA) levels were relatively low (M = 47.06 minutes/day, SD = 17.873). Negative mood states were more dominant than positive ones, with the highest scores recorded for tension (M = 65.22, SD = 12.255) and anger (M = 63.06, SD = 10.033). Correlation analysis revealed no significant relationship between total MVPA and mood (r = -0.021, p = 0.886). However, sedentary behavior showed a significant negative correlation with moderate physical activity (r = -0.626, p < 0.01) and total MVPA (r = -0.635, p < 0.01), indicating that higher sedentary time was associated with lower levels of physical activity in adolescents. This study found no significant relationship between physical activity and mood changes in adolescents. The low levels of MVPA and high sedentary behavior may contribute to the dominance of negative mood states. Further longitudinal studies are needed to explore other factors that may influence adolescent emotional well-being.
Barriers and Predictors of Phsyical Activity Behaviour in Adolescent Upper Secondary Student Dhini Rafika Syafriani; Jajat; Kuston Sultoni
ACTIVE: Journal of Physical Education, Sport, Health and Recreation Vol. 14 No. 2 (2025)
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/active.v14i2.26803

Abstract

This study aims to identify perceived barriers and evaluate 24-hour physical activity behavior in middle and high school students. The phenomenon of declining participation in physical activity among adolescents is a concern, considering its impact on physical and mental health. This study used a quantitative approach with a descriptive design, involving 100 students in Subang Regency as the research sample. The instruments used included a physical activity barriers questionnaire and a 24-hour movement behavior questionnaire. The results of the Spearman correlation test showed a significant relationship between barriers and low involvement in physical activity, with a value of r = 0.325 and a significance of p = 0.001. The most common barriers found were lack of sports facilities, academic pressure, and minimal social support. This study confirms that although students are aware of the importance of physical activity, external and internal barriers remain a barrier. Therefore, interventions should include providing a supportive environment both at school and at home. Understanding 24-hour movement behavior patterns is also needed to design an integrated healthy living strategy. The results of this study are expected to be the basis for policy making in increasing adolescent physical activity in a sustainable manner. 
Co-Authors Adang Suherman Alzenna Amalia Putri Anggre Lia Sukma Dhini Rafika Syafriani Ferdy Febrian Imas Damayanti Mohammad Zakky Mohammad Zaky Mushoddiq Kalimatullah Nur Ajid, Oktoviana Nur Indri Rahayu Raihan Rizki Ramadhan Ramdhan, Akhmad Faizal Ruhayati, Yati Salsa Muzdalipa Salsaputri, Della Saputra, Diki Saputra Sultoni, Kuston Tenica Meliana Saputri Wandani, Syifa Yati Rohayati Yati Ruhayati