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Khairun Nisa
Universitas Lampung
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Hubungan Indeks Massa Tubuh (IMT) dengan Kekuatan Genggaman Otot Tangan Kanan Pada Mahasiswi Program Studi Pendidikan Dokter Universitas Lampung Angkatan 2023 Muhammad Al Ikhsan; Anggi Setiorini; Muhammad Aditya; Khairun Nisa Berawi
JIMKI: Jurnal Ilmiah Mahasiswa Kedokteran Indonesia Vol 12 No 3 (2026): JIMKI: Jurnal Ilmiah Mahasiswa Kedokteran Indonesia Vol. 12.3 (2026)
Publisher : BAPIN-ISMKI (Badan Analisis Pengembangan Ilmiah Nasional - Ikatan Senat Mahasiswa Kedokteran Indonesia)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53366/jimki.v12i3.1082

Abstract

Pendahuluan: Kekuatan otot tangan merupakan pemeriksaan paling akurat untuk menilai fungsi tangan.Kekuatan otot tangan menggambarkan kapasitas kerja otot pada tangan untuk aktivitas fisik yang menggunakan tangan.Besar kekuatan genggaman tangan dapat dipengaruhi oleh beberapa faktor seperti hormon, usia, latihan fisik, serta status gizi khususnya IMT. Penelitian ini bertujuan untuk mengetahui bagaimana hubungan antara IMT dengan kekuatan genggaman otot tangan kanan mahasiswi Program Studi Pendidikan Dokter Universitas Lampung Angkatan 2023. Metode: Penelitian ini menggunakan jenis analitik observasional dengan rancangan Cross-Sectional. Sampel penelitian adalah mahasiswi Program Studi Pendidikan Dokter Universitas Lampung Angkatan 2023, diambil secara total sampling sebanyak 142 orang dengan minimal sampel yang harus diambil sebanyak 64 orang. Variabel bebas adalah IMT dan variabel terikat adalah kekuatan genggaman otot tangan. Uji korelasi Spearman digunakan untuk menganalisis hubungan keduanya. Hasil: Rata-rata kekuatan genggaman tangan mahasiswi adalah 23,4 kg, dan rata-rata IMT adalah 18,68 pada 126 sampel yang telah didapat. Sebagian besar responden memiliki tingkat kekuatan genggaman tangan normal (76,2%) dan IMT berada dalam kategori normal (61,6%). Uji statistik Spearman mendapatkan nilai koefisien korelasi (r) sebesar 0,187 dan signifikansi (p) sebesar 0,037. Pembahasan: Nilai p = 0,037 menunjukkan hubungan yang signifikan, dengan nilai r = 0,187 menandakan hubungan positif yang lemah antara IMT dengan kekuatan genggaman otot tangan. Artinya, semakin tinggi IMT maka semakin kuat pula kekuatan genggaman otot tangan. Hubungan yang tidak selalu kuat ini disebabkan IMT tidak dapat membedakan antara massa otot dan massa lemak. Simpulan: Terdapat hubungan yang signifikan antara Indeks Massa Tubuh (IMT) dengan kekuatan genggaman otot tangan pada Mahasiswi Program Studi Pendidikan Dokter Universitas Lampung Angkatan 2023.                         Kata Kunci: IMT, Kekuatan Genggaman Otot, Mahasiswi
Performance Evaluation of Support Vector Machine (SVM) and XGBoost for Predicting Toddlers’ Stunting Status Based on Anthropometric Data Nurjoko Nurjoko; Admi Syarif; Favorisen R. Lumbanraja; Khairunisa Berawi
Journal of Applied Data Sciences Vol 7, No 2: May 2026
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v7i2.1260

Abstract

Stunting remains a primary global health concern, particularly in developing countries, due to its long-term effects on physical growth, cognitive development, and overall well-being. Despite various public health initiatives, challenges in early detection persist, highlighting the need for accurate, data-driven predictive models to support targeted interventions. This study aims to develop and compare the performance of two machine learning algorithms—SVM and Extreme Gradient Boosting (XGBoost)—for classifying stunting status among children under five, in order to determine the most effective method for early prediction. A quantitative machine learning approach was applied to a dataset comprising 17,498 records derived from Posyandu data in Lampung Province, Indonesia. The analytical pipeline included data preprocessing, class rebalancing using the Synthetic Minority Over-sampling Technique (SMOTE), and model evaluation through stratified 10-fold cross-validation. Performance was assessed using accuracy, precision, recall, and F1-score. The XGBoost model demonstrated superior performance with accuracy, precision, recall, and F1-score reaching 0.9979. In comparison, the SVM model produced slightly lower yet still strong results, achieving an accuracy of 0.9949, with similarly consistent performance across other evaluation metrics. These findings indicate that XGBoost more effectively handles high-dimensional, imbalanced data and captures nonlinear patterns in the dataset. XGBoost was identified as the optimal method for stunting classification in this study, outperforming SVM across all evaluation metrics. These results support the integration of boosting-based models into early detection systems for child nutritional assessment. Future studies should incorporate additional environmental and socioeconomic variables and evaluate model applicability in a real-time community health setting.
Co-Authors Abimanyu Darmawan Adisti, Fransiska Admi Syarif Admi Syarif Afifah, Syafira Hasna Agung, Leni Yulinda Kesuma Agus Wantoro Agustyas Tjiptaningrum Ahmad Arkan Ichsan Ahmad Arkan Ichsan Ahmad Farishal Akuba, Nanda Nurrohim Al Ghifari, Ghaza Ahmad Alicia Rahma, Cinta Alinta Ayuningtyas Alinta Almufit, Sabrina Early Amalia Tirzaningrum Amir, Anzela Andhika Mahatidanar Anggi Setiorini Anggraeni Janar Wulan anggraini janar wulan Angraini, Dwi Indria Ani Yuli Yanti Puspitasari Anisa Adelia Annisa Adietya Pratama Annisa Fath Annisa Putri Perdani Apri Lyanda Aprilia, Sandrina Audy Arif Yudho Prabowo Arif Yudho Prabowo Arsistya Ayu Marella Asep Sukohar Asiah Nurul Izzah Assidiq, Hans Pratama Astiti, Feni Ayu Dinda Fatimah Azizah, Nailul Azizza, Zahra Qori Azkiya Balqis, Gasela Zalianti Bayu Anggileo Pramesona Candra Kurniawan Chicy WIdya Morfi Christy, Angelica Philia CNA Qolbi Daulay, Suryani Agustina Dea Okta Pabiola Desty Marini Dewi Nur Fiana Dewi Nur Fiana Dewi Nur Fiana Dian Isti Anggraini Dian Isti Angraini Dian Isti Angraini Dian Syafitri Dian Syafitri Dian Syafitri Diana Mayasari Dilangga, Pad Dinda Annisa Fitria Diva Iole Humaira Dwita Oktaria Dyah Wulan Sumekar Rengganis Wardani Dyah Wulan Sumekar Rengganis Wardani Eca Cania Edward Sintong Samosir Efrida Warganegara Ekki Pirmansyah Emantis Rosa Ester Krisdayanti Ety Apriliana Exsa Hadibrata Farhati, Soraya Fathia Radinda Salsabila Fathia Sabila Umar Fauzi Ahmad Muda Fauziyyah Nuur Al Azizah Fitria Putridewi Abidin Fitria Saftarina Frigandra Syahputri Ghaitsa Lulua Giska Tri Putri Gozali, Achmad Haikal Nirfandi Hanif, Fauziah Hanna Mutiara Happy, Terza Aflika Haq, Rais Amaral Helmi Ismunandar Helmi Ismunandar Hendra Tarigan Sibero Hendri Busman Heni Sulistiani Herdato, M. Junus Didiek Hj. Rahma Amtiria Ilham Nugroho Ilham Nugroho Indri Windarti Intan Kusumaningtyas Intanri Kurniati Irawati, Nur Ayu Virginia Iswandi Darwis Jovan Widjaja Jovan Widjaja Karima, Nisa Khalisah Nurjihany Salsabila Kurnia Muludi Kurniawan, Ryanda Masri Kurniawaty, Evi Kusumajati, Pusparini Latief, Adhi Nugroho Leni Ervina, Leni Lesilolo, Caroline Virgine Putri Liana Sidharti Liana Sidharti Lumbanraja, Favorisen R M Masykur Berawi M. Aqmal Hidayah M. Irfan zaki Rici Maharani, Atifah Fadilah Marcellia, Selvi Marzon, Mafalda Melinda Maharani Messah, Anse Diana Valentiene Mia Trihasna Asrizal Morfi, Chicy Widya Muhammad Aditya Muhammad Aditya, Muhammad Muhammad Aditya, Muhammad Aditya Muhammad Al Ikhsan Muhammad Farid Adityo Muhammad Maulana Muhammad Morsa Habibie Muhammad Ricky Ramadhian Muhammad Ricky Ramadhian Muhammad Rifki Pratama Muhartono Muhartono Murfi, Syahrani Alya Nadyanka Zafirah Daya Adiwiguna Neema Putri Prameswari Nelly Yuana Ni MAde Ida Damma Nisa Karima Nisa Karimah Nur Anggraini Nurhaliza, Suci Nurjoko Nurjoko Nurul Islamy Nurul Islamy Nurul Utami Oktadoni Saputra Oktafany, Oktafany Oktavia Ningtias, Nabila Padmadisastra, Jauzaa Faishal Ahmad Perdami, Roro Rukmi Windi Pertiwi, Nabila Rahma Prambudi Rukmono Pramesona, , Bayu Anggileo Prayogi, Norbertus Marcell Purnama, Dara Marissa Widya Puspaningrum, Dewi Ayu Putri Giani Purnamasari Qanita Arindia, Naifa Hana Rahma, Cinta Alicia Rahmah, Azizah Nur rahmawati, selvi Ramadhan Triyandi Ramadhan, Yasmine Aulia Ramadhana Komala Rani Himayani Rasmi Zakiah Oktarlina Ratna Dewi Puspita Sari Ratna, Maya Ganda Ratri Mauluti Larasati Ratu Nirmala Wahyunindita Redi Bintang Pratama Reni Zuraida Rianto, Muhamad Arif Rika Lisiswanti Risti Graharti Riyan Wahyudo Roro Rukmi Windi Perdani, Roro Rukmi RR. Ella Evrita Hestiandari Rudiyanto, Waluyo Safira, Ditya Ananda Salma Khairunnisa Samsul Bakri Sangging, Putu Ristyaning Ayu Sembiring, Rinawati Septiani, Linda Setiawan, Gigih Setiorini, Anggi Sheira Indah Anjani Shiddiq, Haikal Shinta Nareswari, Shinta Siregar, Maulana Irfan Hazairin Smith Imanuel Saputra Soemarwoto, Retno Ariza S. Sowiyah Sowiyah Sri Ratna Sulistiyanti Suharmanto Suharmanto Suharmanto Suryadi Islami Suryani Agustina Daulay Susianti Susianti Sutarto Sutarto Sutyarso Sutyarso Sutyarso Syahfira, Reisyah Syahrani, Fitri Aulia Syarel, Radin Ghefira Naura Syazili Mustofa Ta Larasati TA Larasati Tasya Khariena Akbar Theodora Agverianti Theodorus, Emeraldha Verizka, Talitha Warsito Warsito Warsono Warsono Wibowo, Gatra Hadimuti Winda Trijayanthi Utama, Winda Trijayanthi Wiwi Febriani Wuryaningsih Dwi Sayekti Yoga, M. Agung Prasetya Adnyana Yolanda, Jennifer Ester Yulita Yulita Yuningrum, Hesti Zahra, Tsurayya Fathma Zefanya, Ezekial