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All Journal Medikora: Jurnal Ilmiah Kesehatan Olahraga Jurnal Keolahragaan Jurnal Terapan Ilmu Keolahragaan Kinestetik : Jurnal Ilmiah Pendidikan Jasmani JSKK (Jurnal Sains Keolahragaan dan Kesehatan) Jambura Health and Sport Journal JURNAL ILMU KEOLAHRAGAAN Jurnal Speed (Sport, Physical Education, Empowerment) Jorpres (Jurnal Olahraga Prestasi) Indonesian Journal of Sport Management Jurnal Kesehatan dan Olahraga Gladi : Jurnal Ilmu Keolahragaan Jurnal Keolahragaan JURNAL PENDIDIKAN OLAHRAGA
Jajat, Jajat
Universitas Pendidikan Indonesia
Arts Humanities Education Health Professions Medicine & Pharmacology Nursing Physics Public Health Social Sciences Other

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Analysis of Types of Physical Activity on Active Elderly Community in Bandung City Kamli Suwandi; Jajat Jajat; Ahmad Hamidi
Kinestetik : Jurnal Ilmiah Pendidikan Jasmani Vol 8 No 1 (2024): MARCH
Publisher : UNIB Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/jk.v8i1.31997

Abstract

Physical activity can improve health and reduce the risk of some diseases, and most importantly it can improve the quality of life of the elderly. The purpose of this study was to determine the level of physical activity and the type of physical activity carried out by the elderly daily in the elderly community in Bandung City. The method used is descriptive with a quantitative approach. This data collection technique used a purposive sampling technique, and the level of physical activity was measured using the International Physical Activity Questionnaire-Short Form (IPAQ-SF) questionnaire. The sample of this study was 40 people consisting of the Pasir Layung Elderly Community 20 people and the Setiabudhi Healthy Heart Community 20 people. The results of this study are that the majority of the elderly do physical activity every day, namely gymnastics as much as 75% and the majority of the elderly in this community have a high level of physical activity as much as 52%. It is proven that the elderly here have a high level of physical activity and have good physical activity.
Aktivitas Fisik Generasi Zillenial di Kota Bandung Berdasarkan Gender Sri Devi; Imas Damayanti; Nur Indri Rahayu; Yati Ruhayati; Adang Suherman; Jajat Jajat; Kuston Sultoni; Surdiniaty Ugelta
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.
PENGARUH STRETCHING LOWER BODY UNTUK MEREDAKAN NYERI AKIBAT LATIHAN INTENSITAS TINGGI Saloko, Bagas Aryo; Ugelta, Surdiniaty; Jajat, Jajat
Jambura Health and Sport Journal Vol 6, No 2 (2024): Agustus
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37311/jhsj.v6i2.26933

Abstract

Stretching adalah teknik relaksasi otot yang dapat meningkatkan mobilitas dan fleksibilitas otot dan memaksimalkan rentang gerakan persendian. Nyeri terjadi bersama banyak proses penyakit atau bersamaan dengan beberapa pemeriksaan diagnostik atau pengobatan, nyeri sangat mengganggu dan menyulitkan lebih banyak orang dibandingkan suatu penyakit manapun. Tujuan penelitian mengetahui pengaruh stretching untuk mengurangi nyeri akibat latihan intensitas tinggi pada lower body pada Klub Futsal Jawara FC. Desain penelitian yang digunakan yaitu dengan Quasi experiment dengan rancangan one group pretest posttest design dan menggunakan Uji Wilcoxon. Teknik sampel dengan menggunakan teknik purposive sampling sebanyak 16 responden. Kriteria yang digunakan yaitu anggota Klub Futsal Jawara FC yang akan bermain pada Jogja Futsal League U-23 dengan latihan instensitas tinggi. Pengukuran tingkat nyeri dengan menggunakan VAS (Visual Analog Scale). Hasil penelitian ini menampilkan bahwa skala nyeri yang dialami responden sebelum dilakukan stretching skala nyeri minimum 2, nilai maksimum 4, dengan rata-rata skala nyeri 2,81±0,544. Hasil penelitian setelah dilakukan stretching Skala nyeri minimum 1, nilai maksimum 4 dengan rata-rata skala nyeri 1,75 ± 0,775. Hasil analisa Bivariat yang digunakan yaitu dengan uji Wilcoxon P value=0,0010,05. Simpulan, stretching berpengaruh untuk mengurangi nyeri akibat latihan intensitas tinggi pada lower body. Implikasi dari penelitian ini menunjukkan bahwa stretching efektif dalam mengurangi nyeri setelah latihan intensitas tinggi pada lower body, yang penting untuk pemulihan otot dan menjaga performa atlet. Disarankan agar stretching dimasukkan dalam rutinitas latihan untuk meminimalkan nyeri dan cedera. Penelitian lebih lanjut diperlukan untuk memperkuat temuan ini pada populasi yang lebih luas.
A Machine Learning Approach to Predicting Physical Activity Levels in Adolescents Mahendra, Desvy Rahma Putri; Jajat, Jajat; Damayanti, Imas; Sultoni, Kuston; Ruhayati, Yati; Suherman, Adang; 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.v3i2.7145

Abstract

The ongoing evolution of technology has had both positive and negative effects on modern society. On the positive side, it has significantly improved the ease with which various activities can be performed. However, it has also had a negative impact by reducing physical activity. This reduction in physical activity, in turn, increases the risk of chronic diseases that contribute to global mortality rates. This research aims to assess the effectiveness of machine learning in predicting the physical activity levels of adolescents. The study utilizes data from accelerometers, specifically the ActiGraph GT3X. The research methodology employs a semi-supervised machine learning approach, using the support vector machine and decision tree algorithms to make these predictions. The sample comprises 61 adolescents (males = 17, female = 44), including high school students and university students aged 18-21, from the West Java region. The results from the machine learning model using the decision tree algorithm indicated a model accuracy of 97.50% in predicting physical activity levels. In contrast, the accuracy obtained from the performance analysis using the confusion matrix for the support vector machine model was 92.5%. Based on these accuracy levels, the decision tree algorithm outperforms the support vector machine algorithm's accuracy. Further analyses involving different models are necessary to determine which algorithm offers the highest level of accuracy.
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)
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.
KLASIFIKASI AKTIVITAS FISIK BERBASIS DATA ACCELEROMETER DAN KUESIONER DENGAN METODE MACHINE LEARNING Putri Mulyana, Humaira Azzahra; Suherman, Adang; Jajat, Jajat; Damayanti, Imas; Sultoni, Kuston; Ruhayati, Yati; Rahayu, Nur Indri
Jurnal Speed (Sport, Physical Education, Empowerment) Vol 6 No 2 (2023): Jurnal Speed (Sport, Physical Education, and Empowerment)
Publisher : Universitas Singaperbangsa Karawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35706/jurnalspeed.v6i2.10197

Abstract

Accelerometer dan kuesioner merupakan instrumen yang telah banyak digunakan para peneliti dalam studi aktivitas fisik. Penelitian ini bertujuan untuk menganalisis perbedaan akurasi klasifikasi level aktivitas fisik dengan metode machine learning. Partisipan dalam penelitian ini yaitu remaja berusia 18-21 tahun (M=19,79 ; SD = 1,13)  dengan jumlah perempuan 44 orang dan laki-laki 17 orang. Instrumen yang digunakan dalam penelitian yaitu accelerometer Actigraph GT3X dan International Physical Activity Questionnaire (IPAQ). Adapun analisis klasifikasi level aktivitas fisik dilakukan dengan algoritma machine learning decision tree. Hasil analisis menunjukkan bahwa untuk dataset berbasis accelerometer Actigraph GT3X memiliki performa akurasi 98,36%, sedangkan akurasi dataset IPAQ menunjukkan performa akurasi sebesar 73,77%. Metode algoritma machine learning decision tree dapat digunakan untuk mengklasifikasi level aktivitas fisik pada kedua jenis sumber dataset dengan performa akurasi sedang sampai tinggi. Analisis lebih lanjut diperlukan dengan menggunakan algoritma machine learning lainnya untuk mendapatkan hasil penelitian yang lebih variatif. Keywords: Actigraph, Artificial Intelligence, DecisionTree, Intensitas Aktivitas Fisik
Analisis Perilaku Aktivitas Fisik dan Promosi Gaya Hidup Sehat Pada Siswa Sekolah Menengah Atas Muhamad Nurul Rafli; Yati Ruhayati; Jajat, Jajat; Adang Suherman; Surdiniaty Ugelta; Imas Damayanti; Kuston Sultoni; Mohammad Zaky; Nur Indri Rahayu
JURNAL PENDIDIKAN OLAHRAGA Vol 14 No 4 (2024): JURNAL PENDIDIKAN OLAHRAGA
Publisher : STKIP Taman Siswa Bima

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37630/jpo.v14i4.1614

Abstract

Gaya hidup sehat merupakan suatu kebiasaan atau perilaku yang dilakukan dengan cara menjaga dan memelihara pola makan, pikiran, kebiasaan dan juga lingkungan yang sehat. Penelitian ini bertujuan untuk mengevaluasi perilaku aktivitas fisik dan gaya hidup sehat pada siswa SMA Se Kota Bandung. Penelitian ini menggunakan metode cross sectional study. Partisipan dalam penelitian ini berjumlah 359 yang berusia 15 tahun sampai dengan 19 tahun (M = 16.62 ± SD = 0,915). Partisipan terdiri dari 197 laki-laki dan 162 perempuan. Instrumen yang digunakan dalam penelitian ini adalah kuesioner Health Promoting Lifestyle Profile II. Analisis data dilakukan dengan melakukan uji descriptive statistic untuk mendeskripsikan karakteristik partisipan, independent sample T-test digunakan untuk menguji perbedaan berdasarkan gender dan status tempat tinggal, One Way ANOVA digunakan untuk menguji perbedaan berdasarkan ekstrakurikuler. Hasil penelitian menunjukan tidak terdapat perbedaan aktivitas fisik dan gaya hidup sehat yang signifikan antara partisipan laki laki dan perempuan (p= 0.211), sementara itu terdapat perbedaan yang signifikan antara partisipan yang berstatus tempat tinggal dengan orang tua dan partisipan yang berstatus tempat tinggal kost (p = 0.001 < 0,05). Demikian halnya berdasarkan keterlibatan ekstrakurikuler juga terdapat perbedaan yang signifikan (p = 0,038). Status tempat tinggal dan keterlibatan dalam ekstrakurikuler mempengaruhi perilaku aktivitas fisik dan gaya hidup sehat pada siswa SMA, sementara gender tidak mempengaruhi. Perlu adanya perhatian khusus terkait dengan lingkungan individu remaja sebagai upaya meningkatkan perilaku aktivitas fisik dan gaya hidup sehat.
Implementation of Artificial Intelligence (AI) Machine Learning for Analysis of Physical Activity Behavior, Sedentary Behavior, and Obesity Risk Jajat, Jajat; Sudrazat, Adang; Zaky, Mohammad; Sultoni, Kuston
Indonesian Journal of Sport Management Vol. 4 No. 4 (2024): Indonesian Journal of Sport Management
Publisher : Universitas Majalengka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31949/ijsm.v4i4.11807

Abstract

Background: The prevalence of obesity has become a global issue affecting all countries. Physical activity and sedentary behavior are believed to be key factors contributing to obesity. Objective: This study aims to examine the relationship between physical activity and sedentary behavior with Body Mass Index (BMI) using machine learning algorithms. Method: A total of 280 students from various programs at Universitas Pendidikan Indonesia participated in this study (101 males and 179 females), aged between 17 and 23 years. Physical activity was measured using the Actigraph GT3X accelerometer. Seven machine learning algorithms—including Naïve Bayes, Support Vector Machine (SVM), local k-nearest neighbors (KNN), Classification via Regression (CVR), decision tree, random forest, and artificial neural network (ANN)—were applied to predict obesity risk. The RapidMiner software was used for testing. Results: Based on the variables of physical activity, sedentary behavior, and demographic factors, SVM demonstrated the highest accuracy (74.22%) among the algorithms. For sensitivity and specificity, ANN and decision tree performed best, with values of 72.27% and 77.5%, respectively. Conclusion: Physical activity, total Metabolic Equivalent of Task (MET), and sedentary duration are significant predictors of obesity risk. Promoting physical activity and implementing campus policies are essential to reduce obesity prevalence among students.
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.
Co-Authors Adang Suherman aditia, lugina Ahmad Hamidi Aini Dewi Monica Aji Septiana Rahmansyah Akbar, Muhammad Syagil Andiri, Linggi Badruzaman Badruzaman, Badruzaman Ermawan, Iman Fadlilah, Ghaitsa Zahira Shofa Ferdiana, Fendi Hardwis, Syam Iman Imanudin Imas Damayanti Imas Damayanti Imas Damayanti Isti Fauziah Pratiwi Kamli Suwandi Kartini, Dini Siti Cahya Kencana, Mayang Mega Mahendra, Desvy Rahma Putri Mohammad Zaky Muhamad Nurul Rafli Mulyana, Humaira Azzahra Putri Mustika Fitri Nur Indri Rahayu Nur Indri Rahayu Nur Indri Rahayu Nuryanti, Widy Dewi Palgunadhi, Finaldhi Paramitha, Sandey Tantra Putri Mulyana, Humaira Azzahra Raden Cyntani Araya Rauzan, Muhammad Phirous RR. Ella Evrita Hestiandari Ruhayati, Yati Sadewa, Fanuelciho Saloko, Bagas Aryo Sri Devi Sudrazat, Adang Sultoni, Kuston Supriyatna, Iik Surdiniarty Ugelta Surdiniaty Ugelta Surdiniaty Ugelta Sutisna, Nana Sutoni, Kuston Tian Kurniawan Yati Rohayati, Yati Yati Ruhayati Yati Rukhayati