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All Journal Jurnal Jurusan Ilmu Keolahragaan JSSF : Journal of Sport Science and Fitness SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Jurnal Kreativitas PKM ACTIVE: Journal of Physical Education, Sport, Health and Recreation Jurnal Gema Ngabdi Riyadhoh : Jurnal Pendidikan Olahraga Jurnal Berkarya Pengabdian Masyarakat Jorpres (Jurnal Olahraga Prestasi) Multilateral: Jurnal Pendidikan Jasmani Dan Olahraga Journal of Sport Coaching and Physical Education Jurnal Stamina Jurnal Olahraga Papua Sport Science and Education Journal Indonesian Journal of Sport Science and Technology (IJST) Mengabdi: Jurnal Hasil Kegiatan Bersama Masyarakat
Rodhi Rusdianto Hidayat
Cenderawasih University
Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Medicine & Pharmacology Nursing Public Health Social Sciences Other

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Analysis of Female Athlete Triad (FAT) Components: Energy and Nutritional Intake of Papuan Female Athletes Sinaga, Evi; Wanena, Tery; Putra, Miftah Fariz Prima; Hidayat, Rodhi Rusdiyanto; Ibrahim, Ibrahim; Guntoro, Tri Setyo; Sinaga, Eva; Sinaga, Dewi Oktavia
Multilateral : Jurnal Pendidikan Jasmani dan Olahraga Vol 23, No 4 (2024): Special Issue National Conference: Mengembalikan Marwah PJOK dan Penerapan Tekn
Publisher : Lambung Mangkurat University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/multilateral.v23i4.21682

Abstract

Female Athlete Triad (FAT) disrupts the health and performance of female athletes both in training and competition, leading to a decline in achievements. The purpose of this research was to analyze one of the components of the FAT namely energy availability in Papuan female athletes. This research is an observational study with a Mixed Methods approach, involving a total sample of 55 female Papua athletes in Jayapura, Papua. Energy and nutrient intake were conducted by collecting data on the energy and nutrient intake of Papuan female athletes through interview, 3x24 hour recalls and questionnaires. The demographic data of FAT risk factors collected include age, weight, height, injury history, and sports. The components of energy availability collected include eating disorders. Energy intake data were processed using the Nutrisurvey dietary intake data processing software. The data were then compared with the recommended adequacy and energy requirements for athletes. The average energy intake achievement in athletes was found to be 87% (2273.76 cal). The average carbohydrate intake was 288.14grs (77%). The average protein intake was 88.68grs (93.34%), while the average fat intake was 86.71grs (98%). Mostly athletes have fulfilled their energy and nutritional intake. 
Analitik Prediktif Sepakbola: Model Machine Learning BRI Liga 1 Indonesia Hidayat, Rodhi Rusdianto; Larung, Ermelinda Yersin Putri; Sinaga, Evi; CS, Ansar; Ibrahim, Ibrahim; Kardi, Ipa Sari; Putra, Miftah Fariz Prima; Samal, Asmathil Bari; Babingga, Hariyanto
Multilateral : Jurnal Pendidikan Jasmani dan Olahraga Vol 23, No 4 (2024): Special Issue National Conference: Mengembalikan Marwah PJOK dan Penerapan Tekn
Publisher : Lambung Mangkurat University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/multilateral.v23i4.21889

Abstract

Penelitian ini bertujuan untuk mengembangkan dan memvalidasi model prediktif berbasis machine learning guna memprediksi hasil pertandingan BRI Liga 1 Indonesia musim 2023-2024. Dengan menggunakan algoritma XGBoost untuk klasifikasi hasil pertandingan dan Gradient Boosting Regressor untuk prediksi skor, penelitian ini menganalisis berbagai variabel seperti penguasaan bola, akurasi tembakan, jumlah umpan sukses, tendangan sudut, serta faktor lain yang berkontribusi terhadap hasil pertandingan. Data pertandingan dikumpulkan dari sumber resmi dan diproses menggunakan metode statistik serta teknik Machine Learning. Hasil penelitian menunjukkan bahwa model XGBoost mencapai akurasi sebesar 98.4% dengan precision, recall, dan F1-score yang hampir sempurna. Model Gradient Boosting Regressor juga menunjukkan performa yang sangat baik dengan R-squared score sebesar 0.992 dan tingkat kesalahan yang sangat rendah. Kesimpulan dari penelitian ini menegaskan bahwa model prediktif berbasis analitik dapat menjadi alat yang andal dalam mendukung strategi tim sepak bola, meningkatkan performa permainan, dan membantu pengambilan keputusan berbasis data dalam kompetisi profesional. Penelitian ini merekomendasikan pengembangan lebih lanjut dengan memasukkan variabel eksternal seperti kondisi cuaca, cedera pemain, serta penggunaan model deep learning untuk meningkatkan akurasi prediksi.
Pengujian Athlete Psychological Strain Questionnaire (APSQ) versi Indonesia Putra, Miftah Fariz Prima; Wanena, Tery; Larung, Ermelinda Yersin Putri; Sinaga, Evi; Numberi, Gerdha Ivony Kristina; Hidayat, Rodhi Rusdianto
Multilateral : Jurnal Pendidikan Jasmani dan Olahraga Vol 23, No 4 (2024): Special Issue National Conference: Mengembalikan Marwah PJOK dan Penerapan Tekn
Publisher : Lambung Mangkurat University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/multilateral.v23i4.21870

Abstract

Tujuan penelitian ini adalah menguji APSQ berdasarkan tiga model, yaitu unidimensional, three-factor model, dan second order model pada konteks indonesia. Sebanyak 375 data atlet Indonesia dianalisis, yaitu dengan rincian 241 (64.27%) atlet laki-laki dan 134 (35.73%) atlet perempuan. Usia rata-rata atlet adalah 19.22 tahun dengan standar deviasi 5.13. Selain APSQ, MTI juga digunakan untuk menguji struktur psikometris dalam studi ini. Second order model dan three-factor model (CFI = 0.950, TLI = 0.929, GFI = 0.959, SRMR = 0.044, RMSEA = 0.062) menunjukkan lebih baik dibanding dengan unidimensional model. Semua item dalam APSQid memiliki nilai loading factor ≥ 0.50 (λ = 0.53 – 0.72). Internal konsistensi APSQid untuk faktor self-regulation mendapatkan nilai  = 0.729 dan α = 0.728. Pada faktor performance didapat nilai  = 0.713 dan α = 0.713. Untuk faktor external coping didapat nilai  = 0.531, and α = 0.559.  Secara keseluruhan, nilai reliabilitas APSQid termasuk excellent ( = 0.819; α = 0.822).
Co-Authors -, Marsuki Adelia, Syarifa Agnes Supraptiwi Rahayu Agus Zainuri Agusman, Muhammad Akhmad Kadir Aleda Mawena Ansar CS Awantano, Jems R. Rikson Babingga, Hariyanto CS, Ansar Daniel Womsiwor Dewi Nurhidayah Dwipa, Bhakti Saka Ermelinda Yersin Putri Larung Ermelinda Yersin Putri Larung EVA SINAGA Eva Sinaga Eva Sinaga Evi Sinaga Fitrine Christiane Abidjulu Fredika Novela Usior Friska Sari Gracia Sinaga Friska Sari Gracia Sinaga Gerdha Kristina Ivony Numberi I Putu Eka Wijaya Putra I Putu Eka Wijaya Putra Ibrahim Ibrahim Ibrahim Ibrahim Ibrahim Ibrahim Ibrahim Ikanubun, Meilania Ipa Sari Kardi Irfan Deny Oktavian Jelita, Skolastika Jems R. Awantano Johni J Numberi Juliant Salsabillah Nugroho Junalia Muhammad Kapitaraw, Risal Kurdi Kurdi Kurdi KUSTIAWAN, ANDRI ARIF Larung, Ermelinda Yersin Putri Ledoh, Cantika Candra Ledoh, Cartika Candra Lewier, Meilani Paulina Maniagasi, Austin Bill Eduardo Meilani Paulina Lewier Mia, Chirtitia Miftah Fariz Prima Putra Monika Gultom Nasruddin Nasruddin Nasruddin Nasruddin Nasruddin Noriwari, Yunita Christianti Numberi, Gerdha Ivony Kristina Oscar Oswald O. Wambrauw Raihan Ramadhan Abdullah Ramadhani, Yulia Citra Remuz MB Kmurawak Saharuddin Ita Samal, Asmathil Bari Samuel Piter Irab Sianto, Moh. Ifkhal Sinaga, Dewi Oktavia Sirampun, Elsi Siska Sinaga Soleh Solahuddin Soleh Solahuddin Sutoro . Syahruddin - Syamsul Arifin Tery Wanena Trajanus Laurens Jembise Tri Setyo Guntoro Untung Muhdiarto Wagha, Ermelinda Fransiska Wahyu Indra Bayu Wigati Yektiningtyas Yohanis Manfred Mandosir Yos Wandik Yulia Citra Ramadhani