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All Journal Jurnal Keolahragaan Jurnal Terapan Ilmu Keolahragaan JSKK (Jurnal Sains Keolahragaan dan Kesehatan) Jurnal Pendidikan Kesehatan Rekreasi JURNAL ILMU KEOLAHRAGAAN Jurnal Speed (Sport, Physical Education, Empowerment) Jurnal Sains Riset Indonesian Journal of Sport Management Indonesian Journal of Teaching in Science Jurnal Kesehatan dan Olahraga Gladi : Jurnal Ilmu Keolahragaan Jurnal Keolahragaan JURNAL PENDIDIKAN OLAHRAGA JSSF : Journal of Sport Science and Fitness
Ruhayati, Yati
Universitas Pendidikan Indonesia
Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Economics, Econometrics & Finance Education Environmental Science Health Professions Mathematics Medicine & Pharmacology Nursing Physics Public Health Social Sciences Other

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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.
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.
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.
Integrated Nutrition and Physical Activity Program Based on Social Cognitive Theory to Enhance Quality of Life, Nutritional Status, and Physical Activity in Older Adults Ruhayati, Yati; Suherman, Adang; Zaky, Mohammad; Rahayu, Nur Indri
Indonesian Journal of Teaching in Science Vol 5, No 2 (2025): (ONLINE FIRST) IJOTIS: September 2025
Publisher : Universitas Pendidikan Indonesia (UPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/ijotis.v5i2.89282

Abstract

Population aging in Indonesia demands scalable programs that elevate everyday functioning and well-being. This study evaluated an integrated nutrition and physical activity program grounded in Social Cognitive Theory for community-dwelling older adults. Using a quasi-experimental, community-based design, the intervention combined nutrition education with cooking practice, progressive exercise, self-efficacy-oriented counselling, and peer support, and was assessed with validated measures of quality of life, nutritional status, and physical activity. Participants receiving the program achieved marked improvements across all outcomes relative to comparison participants, and gains persisted beyond the intervention period. These benefits arose because the program simultaneously strengthened capability through skills and knowledge, opportunity through social support and access, and motivation through enhanced self-efficacy, goal setting, and self-monitoring. Hands-on practice and vicarious learning built mastery, while culturally adapted materials and peer leaders reduced barriers and reinforced adherence. Findings indicate that a theory-driven, multi-component approach is feasible within primary care and can advance healthy aging and equity in Indonesian communities.
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
RELIABILITAS PITTSBURGH SLEEP QUALITY INDEX VERSI BAHASA INDONESIA PADA LANSIA AKTIF BEROLAHRAGA Sadewa, Fanuelciho; Ruhayati, Yati; Jajat, Jajat; Sultoni, Kuston; Suherman, Adang; Damayanti, Imas; Rahayu, Nur Indri
Jurnal Kesehatan dan Olahraga Vol. 8 No. 1 (2024): Maret 2024
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/ko.v8i1.56927

Abstract

Seiring bertambahnya usia, volume dan kualitas tidur biasanya akan semakin berkurang. Kualitas tidur salah satunya dikaitkan dengan aktivitas fisik dan olahraga. Namun demikian untuk mengukur kualitas tidur pada kelompok spesifik populasi yang aktif berolahraga masih terbatas, khususnya di Indonesia. Tujuan penelitian ini yaitu menguji reliabilitas dan validitas Pittsburgh Sleep Quality Index (PSQI) versi Indonesia. Pengujian validitas dan reliabilitas dilakukan tiga tahap, yaitu validitas bahasa, validitas & reliabilitas keterbacaan serta validitas & reliabilitas konstruk. Penelitian ini melibatkan 200 orang partisipan lansia berusia 60 “ 77 tahun yang aktif di klub olahraga. Pengolahan dan analisis data dengan menggunakan correct item total correlation dan Cronbach™s alpha. Hasil penelitian menunjukkan bahwa PSQI versi Bahasa Indonesia pada populasi lansia yang aktif di klub olahraga memiliki reliabilitas yang rendah nilai Cronbach™s Alpha 0,4. Metode analisis seperti confirmatory factor analysis diperlukan untuk penelitian lebih lanjut.
ANALISIS GANGGUAN MENSTRUASI PADA ATLET BOLA VOLI NASIONAL Novianti, Berliana; Ruhayati, Yati; Damayanti, Imas; Jajat, Jajat; Ugelta, Sudirniaty; Sultoni, Kuston; Suherman, Adang
Jurnal Sains Riset Vol 14, No 1 (2024): April 2024
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat (LPPM) Universitas Jabal Ghafur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47647/jsr.v14i1.2345

Abstract

Berolahraga dengan intensitas tinggi dapat menyebabkan perubahan hormonal, yang pada akhirnya dapat menyebabkan gangguan menstruasi. Tujuan dari penelitian ini adalah untuk menganalisis pengaruh gangguan menstruasi diantaranya usia, aktivitas fisik, dan usia menarche. Metode penelitian yang digunakan kuantitatif dengan pendekatan cross-sectional. Teknik pengambilan sampel yaitu simple random sampling dengan metode proporsional. Instrument yang di gunakan pada penelitian menggunakan kuesioner google form. Analisis data menggunakan analisis regresi linear berganda. Hasil penelitian menunjukkan terdapat pengaruh yang signifikan usia, aktifitas fisik dan usia menarche secara keseluruhan terhadap gangguan menstruasi, tidak terdapat pengaruh yang signifikan pada usia terhadap gangguan menstruasi, terdapat pengaruh yang signifikan pada aktifitas fisik terhadap gangguan menstruasi, terdapat pengaruh yang signifikan pada usia menarche terhadap gangguan menstruasi, sumbangan pengaruh dari usia, aktifitas fisik dan usia menarche sebesar 44,6% pada gangguan menstruasi.
EATING DISORDER DAN MUSCLE DYSMORPHIA PADA BINARAGA WANITA Mahardika Amareksa, I Putu Tegar; Ugelta, Surdiniaty; Jajat, Jajat; Sultoni, Kuston; Suherman, Adang; Damayanti, Imas; Ruhayati, Yati
Jurnal Sains Riset Vol 14, No 1 (2024): April 2024
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat (LPPM) Universitas Jabal Ghafur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47647/jsr.v14i1.2340

Abstract

Banyaknya tekanan untuk menjadi kurus menyebabkan adanya dampak tidak baik bagi tubuh. Eating Disorder ( ED )  menjadi masalah utama bagi binaraga wanita dalam melaksanakan aktivitasnya yang dapat menyebabkan Muscle Dysmorphia ( MD ). Tujuan penelitian ini adalah melihat adakah hubungan antara ED dengan MD pada binaraga wanita. Penelitian ini melibatkan 20 sampel yang dimana sampel tersebut wanita yang aktif melakukan aktifitas GYM dengan usia 19-25 tahun. Penelitian ini menggunakan test seperti Eating Atitude Test ( EAT-26) dan From the Drive for Muscularity Scale ( DMS ). Setelah melakukan uji korelasi hasil penelitian ini menunjukan bahwa tidak adanya hubungan yang signifikan antara ED dengan MD pada binaraga wanita, hal ini disebakan karena banyaknya subjek yang malu memberikan informasi mengenai tubuh.Kata kunci: ED, MD, Binaraga, Wanita
Aktivitas Fisik Generasi Zillenial di Kota Bandung Berdasarkan Gender Devi, Sri; Damayanti, Imas; Rahayu, Nur Indri; Ruhayati, Yati; Suherman, Adang; Jajat, Jajat; Sultoni, Kuston; Ugelta, Surdiniaty
JSKK (Jurnal Sains Keolahragaan dan Kesehatan) Vol 8 No 2 (2023)
Publisher : Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/jskk.2023.8.2.9

Abstract

The purpose of this study was to examine differences in the level of physical activity of zillenial generation based on gender. The method used is a quantitative research method with a comparative causal approach. The population of this study is generation Z who live in Kota Bandung. The sample in this study was 134 people with the sampling technique using Convenience Sampling. The physical activity instrument in data collection uses the Global Physical Activity Questionnaire (GPAQ). Data was analyzed using Mann Whitney U test. The description of the physical activity of the zillenial generation based on the GPAQ domain shows that in the domain of activity at work/study, travel to and from places and sedentary behavior there are no differences based on gender. Which shows that Generation Z does a lot of moderate physical activity. While in the domain of recreational activities there are differences based on gender. The results of the data analysis show the value of sig. p=0.453 > 0.05, data is significant. The results of this study concluded that there was no difference in the physical activity of zillenial generation based on gender.
Co-Authors Abdurahman, Muhammad Naufal Adang Suherman Agus Rusdiana,, Agus Aji Septiana Rahmansyah Akbar, Muhammad Syagil Amni, Hazrina Desvy Rahma Putri Mahendra Dini Siti Cahya Kartini Fadlilah, Ghaitsa Zahira Shofa imas damayanti Imas Damayanti Imas Damayanti Imas Damayanti Isti Fauziah Pratiwi Jajat Jajat Jajat Jajat jajat jajat Jajat, Jajat Kartini, Dini Siti Cahya kautsar, alam Kencana, Mayang Mega Mahardika Amareksa, I Putu Tegar Mahendra, Desvy Rahma Putri Mohammad Zaky Mohammad Zaky Muhammad Dzulfikar Firdaus Muhimaturohmah, Siti Novianti, Berliana Nur Ajid, Oktoviana Nur Indri Rahayu nur indri rahayu Nur Indri Rahayu Nur Indri Rahayu Nuryanti, Widy Dewi Permatasari, Niluh Ketut NIta Putri Mulyana, Humaira Azzahra Rahmat, Egih Ramdhan, Akhmad Faizal Ray, Hamidie Ronald Daniel Rizki Yudha Pratama Sadewa, Fanuelciho Salsaputri, Della Saputra, Diki Saputra Sri Devi, Sri Sultoni, Kuston Sumardiyanto Sumardiyanto Surdiniarty Ugelta Surdiniaty Ugelta Syifa Wandani Ugelta, Sudirniaty Wandani, Syifa