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All Journal Jurnal Sistem Informasi Universitas Dinamika Gudang Jurnal Multidisiplin Ilmu Jurnal Ilmiah Multidisiplin Indonesia Al-Zayn: Jurnal Ilmu Sosial & Hukum Presidensial: Jurnal Hukum, Administrasi Negara, Dan Kebijakan Publik Merkurius: Jurnal Riset Sistem Informasi dan Teknik Informatika Inventa: Journal of Science, Technology, and Innovation An-Nuriyah Journal Of Islamic Technology And Informatics Education
Muhamad Fikri
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Klasifikasi Status Stunting Pada Anak Bawah Lima Tahun Menggunakan Extreme Gradient Boosting Muhamad Fikri
Merkurius : Jurnal Riset Sistem Informasi dan Teknik Informatika Vol. 2 No. 4 (2024): Juli: Merkurius: Jurnal Riset Sistem Informasi dan Teknik Informatika
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/merkurius.v2i4.159

Abstract

Stunting is a condition of failure to thrive in children, in Indonesia it is still a serious problem with a fairly high prevalence. The government is trying to reduce stunting rates with various health programs, and early detection through routine measurements is very important. This research uses the Extreme Gradient Boosting (XGBoost) algorithm to classify stunting status in children under five years. This study uses a relevant dataset containing anthropometric information on children, such as gender, age, birth weight and length, current weight and length, and breastfeeding status. The research stages include dataset search, preprocessing, classification, evaluation, and implementation in a local web-based prediction program. The XGBoost algorithm was chosen because of its advantages in speed, scalability, and efficiency. After preprocessing and data sharing, the model was trained and tested, resulting in 86% accuracy, 89% precision, 95% recall, and 92% F1-score. Evaluation using the confusion matrix and classification report shows that this model is quite effective in classifying stunting status.
Membangun Resiliensi Perempuan dalam Menghadapi Banjir di Sumatera Utara: Perspektif Kebijakan Responsif Gender Juwita Siregar; Muhamad Fikri; Ika Arinia Indriyany
Presidensial: Jurnal Hukum, Administrasi Negara, dan Kebijakan Publik Vol. 3 No. 1 (2026): Maret: Presidensial : Jurnal Hukum, Administrasi Negara, dan Kebijakan Publik
Publisher : Asosiasi Peneliti dan Pengajar Ilmu Hukum Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62383/presidensial.v3i1.1563

Abstract

Floods are one of the most frequent hydrometeorological disasters in Indonesia and cause various social, economic, and environmental impacts on communities. In disaster situations, women often face greater vulnerability than men due to limited access to resources, high domestic responsibilities, and minimal protection in disaster policies. Although the government has adopted a gender mainstreaming policy in development, its implementation in disaster management policies remains suboptimal. This study aims to analyze how flood management policies integrate gender perspectives and identify the impacts of floods on women. The study used a qualitative approach using literature study methods and media content analysis to understand the dynamics of policies and women's experiences in disaster situations. The results show that disaster management policies still tend to focus on technical and infrastructure aspects, while women's specific needs are often overlooked, particularly regarding security in refugee camps, access to reproductive health services, and increased domestic burdens during crises. This condition indicates that the integration of a gender perspective in disaster policies still faces various structural and institutional barriers. Therefore, efforts are needed to strengthen the implementation of gender-responsive policies so that disaster management does not only focus on physical mitigation, but is also able to provide fairer and more inclusive protection for all community groups.
Co-Authors Abdullah Abdullah Alif Fazri Ramadhan Ari Ramadhan Azra Fitri Alifia Dila Nur Sakinah Farhan Ramadhan Fauzi Abdul Rohim Hifni Fadhilah Hikmatullah Ika Arinia Indriyany Juwita Siregar Laeli Nur Khanifah Landjar Wira Laksmana M. Ilham Setya Aji M. J. Dewiyani Sunarto M.Rifki Alfa Rizki Miftahul Huda Muhammad Hasbi Asshidiqi Muhammad Hilman Naufal Muhammad Rafly Azmi Oky Tria Saputra Pantjawati Sudarmaningtyas Poozasya Niagaralillah Rahmi Desnada Syarif Riko Dwi Lestiyanto Saidi Saidi Sandra Murcia Sani Satrio Ramadhan Shafiyyah, Shafiyyah Yasmin Yasmin Zulva Al’Ilmi