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All Journal Medikora: Jurnal Ilmiah Kesehatan Olahraga Jurnal Keolahragaan Jurnal Terapan Ilmu Keolahragaan Gelanggang Pendidikan Jasmani Indonesia JSKK (Jurnal Sains Keolahragaan dan Kesehatan) Halaman Olahraga Nusantara : Jurnal Ilmu Keolahragaan Jurnal SPORTIF : Jurnal Penelitian Pembelajaran ACTIVE: Journal of Physical Education, Sport, Health and Recreation Jurnal Pendidikan Kesehatan Rekreasi JURNAL ILMU KEOLAHRAGAAN Jurnal Pedagogik Olahraga Jurnal Speed (Sport, Physical Education, Empowerment) Jurnal Sains Riset Indonesian Journal of Sport Management Jurnal Kesehatan dan Olahraga Jurnal Dunia Pendidikan Gladi : Jurnal Ilmu Keolahragaan Journal RESPECS (Research Physical Education and Sports) Jurnal Keolahragaan JURNAL PENDIDIKAN OLAHRAGA ACTIVE: Journal of Physical Education, Sport, Health and Recreation JSSF : Journal of Sport Science and Fitness
Sultoni, Kuston
Universitas Pendidikan Indonesia
Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Economics, Econometrics & Finance Education Health Professions Medicine & Pharmacology Nursing Physics Public Health Social Sciences Other

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VALIDITY AND RELIABILITY OF THE INDONESIAN VERSION OF THE INTERNATIONAL PHYSICAL ACTIVITY QUESTIONNAIRE AMONG STUDENTS: A CONFIRMATORY ANALYSIS USING THE ACTIGRAPH GT3X+ ACCELEROMETER Akbar, Muhammad Syagil; Jajat, Jajat; Sultoni, Kuston; Ruhayati, Yati; Suherman, Adang; Nuryanti, Widy Dewi
Gladi : Jurnal Ilmu Keolahragaan Vol. 16 No. 01 (2025): GLADI: Jurnal Ilmu Keolahragaan
Publisher : UNIVERSITAS NEGERI JAKARTA POSTGRADUATE OF PHYSICAL EDUCATION DEPARTMENTS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/GJIK.161.03

Abstract

Questionnaires and accelerometers are the most commonly used instruments by researchers to analyze physical activity. This study aims to evaluate the relationship between physical activity measurements using two methods: the International Physical Activity Questionnaire (IPAQ) and the Actigraph GT3X+ device. The study sample consisted of 27 male and 23 female students from Universitas Pendidikan Indonesia. The instruments utilized in the research were the Actigraph GT3X+ accelerometer and the IPAQ. Data analysis was conducted by correlating the data obtained from the IPAQ and the Actigraph GT3X+. The results indicated that there was no correlation between IPAQ and Actigraph GT3X+ across various physical activity intensities. Further analysis is required, considering an increased sample size and minimizing self-reporting biases through a more structured approach to achieve more accurate results.
A QUALITATIVE EXPLORATION OF INDIVIDUAL MOTIVATION FOR INTERMITTENT FASTING SUPPORTED BY EXERCISE USING SELF-DETERMINATION THEORY Fadlilah, Ghaitsa Zahira Shofa; Ruhayati, Yati; Jajat, Jajat; Sultoni, Kuston; Suherman, Adang
Gladi : Jurnal Ilmu Keolahragaan Vol. 16 No. 01 (2025): GLADI: Jurnal Ilmu Keolahragaan
Publisher : UNIVERSITAS NEGERI JAKARTA POSTGRADUATE OF PHYSICAL EDUCATION DEPARTMENTS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/GJIK.161.02

Abstract

Obesity remains a global health issue with significant physical, social, and psychological impacts. One increasingly popular approach to managing obesity is the Intermittent Fasting (IF) diet. This study aims to examine the motivation and effectiveness of IF among fitness center members who also engage in regular exercise. Using the Self-Determination Theory (SDT) framework, this research explores internal and external factors influencing participants' commitment to IF.This qualitative descriptive study employed semi-structured interviews conducted at Idachi Fitness Metro Indah Mall. Thematic analysis following Braun and Clarke’s six-phase process was used to identify key themes. The findings revealed five categories of motivation: intrinsic regulation, identified regulation, introjected regulation, external regulation, and amotivation. Participants highlighted the benefits of IF, such as weight management, increased energy, and improved sleep quality. These findings underscore the importance of combining IF with exercise for achieving optimal health outcomes. Additionally, external motivations, such as social support and encouragement from trainers, often developed into intrinsic motivations as participants experienced health improvements. Further research is recommended to explore the long-term effects of combining IF and exercise on health and motivation.
Prediksi Mood Berdasarkan Pola Aktivitas Fisik pada Remaja Menggunakan Algoritma Machine Learning Kencana, Mayang Mega; Jajat, Jajat; Zaky, Mohammad; Sultoni, Kuston; Ruhayati, Yati
Jurnal Keolahragaan Vol 11, No 1 (2025): April
Publisher : Universitas Galuh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25157/jkor.v11i1.17894

Abstract

Penelitian ini bertujuan untuk memprediksi mood remaja berdasarkan pola aktivitas fisik menggunakan algoritma machine learning. Aktivitas fisik sering kali berkorelasi erat dengan kondisi emosional, sehingga pendekatan ini dapat memberikan wawasan baru dalam mendukung kesehatan mental. Data dikumpulkan dari 50 remaja mahasiswa melalui perangkat wearable selama 90 hari, mencakup parameter seperti jumlah langkah, durasi aktivitas, intensitas, dan pola tidur. Sementara untuk data mood diperoleh dari skala BRUMs yang sudah diadaptasi dan divalidasi. Algoritma Decision Tree dan Support Vector Machine (SVM) digunakan untuk membangun model prediksi, dengan evaluasi kinerja berdasarkan metrik akurasi, presisi, recall, dan F1-score. Hasil penelitian menunjukkan bahwa Decision Tree lebih unggul dibandingkan SVM, dengan akurasi sebesar 98,44% dibandingkan 97,45%. Decision Tree juga menunjukkan keunggulan dalam interpretasi model dan efisiensi komputasi, yang penting untuk implementasi aplikasi prediktif real-time. Penelitian ini menyimpulkan bahwa algoritma Decision Tree merupakan pendekatan yang lebih efektif untuk prediksi mood berbasis pola aktivitas fisik pada remaja. Temuan ini diharapkan dapat menjadi dasar pengembangan sistem pendukung kesehatan mental berbasis teknologi wearable.
The Existence of Woodball Athlete Guidance in the Indonesian Woodball Association (IWbA) of Buleleng Regency Iragraha, S. M. Fernanda; Dewi , Putu Citra Permana; Susanto , Nugroho; Payer, Hemant; Sultoni, Kuston
JOURNAL RESPECS (Research Physical Education and Sports) Vol. 7 No. 1 (2025): Journal RESPECS (Research Physical Education and Sport)
Publisher : Universitas Majalengka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31949/respecs.v7i1.12876

Abstract

This research uses a survey method through an evaluative descriptive approach, which aims to determine the existence of woodball athlete coaching in IWbA Buleleng Regency. This research can be used as a reference for other regions to foster to produce potential woodball athletes for their regions and in the future for Indonesia. The results of this study indicate that the existence of coaching woodball athletes in IWbA Buleleng Regency is going very well, because it is supported by (1) the complete and obedient administrative profile of the Buleleng Regency IWbA organization; (2) support from agencies/institutions (Government/Disdikpora/KONI Buleleng Regency) synergistically running optimally; (3) human resources (HR) are very adequate; (4) training facilities and equipment are very complete; and (5) continuous athlete coaching is carried out. The younger generation in Buleleng Regency deserves to choose woodball sports to be involved in because (1) woodball sports are easy to learn and safe for various ages; (2) woodball sports can be pursued by men or women; (3) the price of equipment is affordable; (4) woodball sports can be used as a tool to add positive activities; (5) woodball sports can be used as a tool to build beautiful relationships; (6) woodball sports can be used as a tool to make it easier to find schools/colleges (for those who excel); (7) can make it easier to get to know the region/world through the events that are followed; and (8) woodball sports can be used as a tool to pursue an achievement sport that can be aligned with other achievement/popular sports. The obstacles faced include: (1) training programs/schedules often clash with student/athlete school schedules; (2) training programs/schedules often clash with student/athlete college schedules; (3) lack of coaching funds to participate in national/international level events; (4) students who become athletes sometimes take too long dispensation (school/college permission) when participating in championships (so that athletes become a burden on the mind because they do not participate in school/college activities); (5) the lack of attention from schools to open extra-curricular woodball sports; and (6) the Sukasada Solid Works field is still used by the surrounding community to play soccer, so that sometimes the attached fairway rope is often detached.
Prediksi Mood Berdasarkan Pola Aktivitas Fisik pada Remaja Menggunakan Algoritma Machine Learning Kencana, Mayang Mega; Jajat, Jajat; Zaky, Mohammad; Sultoni, Kuston; Ruhayati, Yati
Jurnal Keolahragaan Vol 11, No 1 (2025): April
Publisher : Universitas Galuh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25157/jkor.v11i1.17901

Abstract

This study aims to predict adolescents' mood based on physical activity patterns using machine learningalgorithms. Physical activity is often closely correlated with emotional states, making this approachpotentially valuable in providing new insights to support mental health. Data were collected from 50university students using wearable devices over 90 days, including parameters such as step count, activityduration, intensity, and sleep patterns. Mood data were obtained using the BRUMs scale, which had beenadapted and validated. Decision Tree and Support Vector Machine (SVM) algorithms were employed todevelop the predictive model, with performance evaluated based on accuracy, precision, recall, and F1-scoremetrics. The results showed that the Decision Tree outperformed SVM, achieving an accuracy of 98.44%compared to 97.45%. Decision Tree also demonstrated advantages in model interpretability andcomputational efficiency, which are crucial for implementing real-time predictive applications. This studyconcludes that the Decision Tree algorithm is a more effective approach for mood prediction based onphysical activity patterns in adolescents. These findings are expected to form the foundation for developingmental health support systems based on wearable technology.
Analisis Kualitas Tidur, Pola Aktivitas Fisik, Massa Otot, Massa Lemak, dan Body Mass Index Pada Member Idachi Fitness Rauzan, Muhammad Phirous; Rohayati, Yati; Sultoni, Kuston; Jajat, Jajat; Suherman, Adang; Nuryanti, Widy Dewi
Jurnal Keolahragaan Vol 11, No 1 (2025): April
Publisher : Universitas Galuh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25157/jkor.v11i1.19764

Abstract

Physical fitness is an important component in maintaining health and quality of life. This study aims to analyze the relationship between sleep quality, physical activity patterns, muscle mass, fat mass, and body mass index (BMI) in fitness center members. Using a quantitative correlational approach, this study involved 54 participants selected through purposive sampling technique. The instruments used included the Pittsburgh Sleep Quality Index (PSQI), 24h Movement Questionnaire (QMov24h), and body composition measurements using the Karada Scan. The results showed that good sleep quality and involvement in structured physical activity were associated with a more ideal body composition, characterized by higher muscle mass, balanced fat mass, and BMI in the normal category. In contrast, moderate and vigorous physical activity did not show a significant relationship to body composition. These findings emphasize the importance of comprehensive lifestyle management that includes sleep quality, daily activity, and body composition monitoring to achieve optimal fitness.
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
IMPLEMENTASI METODE MACHINE LEARNING UNTUK MENGKLASIFIKASI AKTIVITAS FISIK PADA REMAJA BERBASIS DATA KUESIONER Kartini, Dini Siti Cahya; jajat, jajat; Ruhayati, Yati; Sultoni, Kuston; suherman, adang; damayanti, imas; rahayu, nur indri
Jurnal Kesehatan dan Olahraga Vol. 7 No. 2 (2023): September 2023
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/ko.v7i2.51576

Abstract

Penggunaan artificial intelligence (AI) dalam berbagai bidang kehidupan termasuk aktivitas fisik dan olahraga menjadi salah satu yang sedang trending pada saat ini. Adapun tujuan penelitian ini adalah mengklasifikasi aktivitas fisik dengan metode machine learning berbasis data kuesioner berdasarkan waktu aktivitas dan Metabolic Equivalent of Task (MET). Subjek penelitian ini adalah 779 orang remaja usia 17-21 tahun (M+SD = 19,34+0,39) yang berasal dari siswa SMA dan Mahasiswa di Jawa Barat. International Physical Activity Questionnaire “ Short Form (IPAQ SF) digunakan untuk mengumpulkan data aktivitas fisik. Adapun algoritma machine learning yang digunakan yaitu decision tree. Hasil dari penelitian ini menunjukkan bahwa akurasi performa decision tree untuk mengklasifikasi aktivitas fisik berdasarkan variabel atribut kalkulasi MET lebih tinggi dibandingkan dengan atribut waktu aktivitas fisik (93% ; 86,67%). Algoritma decision tree memiliki akurasi tinggi dalam mengklasifikasi aktivitas fisik dengan atribut kalkulasi MET di setiap level. Analisis lebih lanjut dengan algoritma berbeda diperlukan untuk mengkaji performa terbaik. Kata kunci: aktivitas fisik, artificial intelligence, MET, decision tree
Co-Authors Adang Suherman Agum Sholahuddin Agus Rusdiana,, Agus Agustiar, Ogi Aini Dewi Monica Aji Septiana Rahmansyah Akbar, Muhammad Syagil Alzenna Amalia Putri Amni, Hazrina Andiri, Linggi Anggre Lia Sukma Badissalam, Irfan Mulia Desvy Rahma Putri Mahendra Dewi , Putu Citra Permana Dhini Rafika Syafriani Dini Siti Cahya Kartini Eka Nugraha Fadlilah, Ghaitsa Zahira Shofa Fadlillah, Nurul Ferdy Febrian Firmansyah, Iqbal Iman, Ikhwan Maolana Ibrahim Imas Damayanti imas damayanti Imas Damayanti Imas Damayanti Iragraha, S. M. Fernanda Isti Fauziah Pratiwi Jajat Jajat Jajat Jajat Jajat Jajat jajat jajat Jajat, Jajat Kartini, Dini Siti Cahya Kencana, Mayang Mega Lestari, Chika Lestari, Indah Ayu Puji Mahardika Amareksa, I Putu Tegar Mahendra, Desvy Rahma Putri Mohammad Zakky Mohammad Zaky Mohammad Zaky Muhamad Nurul Rafli Muhammad Dzulfikar Firdaus Muhammad Dzulfikar Firdaus Muhimaturohmah, Siti Mushoddiq Kalimatullah Mustika Fitri Nickytha, Ersha Ady Novianti, Berliana Nur Ajid, Oktoviana Nur Indri Rahayu Nur Indri Rahayu Nur Indri Rahayu nur indri rahayu Nur Indri Rahayu Nur Indri Rahayu Nuryanti, Widy Dewi Payer, Hemant Putri Mulyana, Humaira Azzahra Putro, Adi Ari Raden Cyntani Araya Raihan Rizki Ramadhan Ramdhan, Akhmad Faizal Rauzan, Muhammad Phirous Ray, Hamidie Ronald Daniel Ricky Wibowo Risma Risma, Risma Ruhayati, Yati Sadewa, Fanuelciho Salsaputri, Della SANTOSO SANTOSO Saputra, Diki Saputra Shidqi Maulida Sri Devi, Sri Sudrazat, Adang Surdiniarty Ugelta Surdiniaty Ugelta Surdiniaty Ugelta Susanto , Nugroho Syifa Wandani Tenica Meliana Saputri Ugelta, Sudirniaty Wandani, Syifa Yati Nurhayati Yati Rohayati Yati Rohayati, Yati Yati Ruhayati Yati Rukhayati