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All Journal NALARs Nature: National Academic Journal of Architecture JCES (Journal of Character Education Society) Jurnal Arsir Martabe : Jurnal Pengabdian Kepada Masyarakat International Journal of Community Service Learning Jurnal Teknologi Informasi dan Terapan (J-TIT) Inersia : Jurnal Teknik Sipil Dharma Raflesia : Jurnal Ilmiah Pengembangan dan Penerapan IPTEKS Jurnal Lingkungan Binaan Indonesia Ranah Research : Journal of Multidisciplinary Research and Development Jurnal Arsitektur ARCADE
Atik Prihatiningrum, Atik
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Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Public Health Social Sciences Transportation Other

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Menemukenali Karakter Konstruksi Hunian Masyarakat Rejang di Desa Gunung Alam, Kabupaten Lebong Ramawangsa, Panji Anom; Prihatiningrum, Atik; Haidi, Akhdan
Jurnal Lingkungan Binaan Indonesia Vol. 9 No. 2 (2020): JLBI
Publisher : Ikatan Peneliti Lingkungan Binaan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32315/jlbi.v9i2.101

Abstract

Bangunan vernakular yang ada di nusantara merupakan arsitektur yang lahir, tumbuh, dan berakar dari tradisi serta masyarakat etnik. Pada pemukiman di Desa Gunung Alam, Kecamatan Pelabai, Kabupaten Lebong yang dihuni oleh Suku Rejang Asli dan keturunannya. Di Desa Gunung Alam terdapat hunian dengan orientasi bangunan menghadap ke jalan, memiliki bentuk denah yang sederhana berbentuk persegi panjang memanjang ke belakang, tata ruang yang simetri, dan sistem bangunan panggung yang tetap kokoh dan bertahan hingga saat ini walaupun telah mengalami guncangan gempa bumi berkekuatan tinggi serta ancaman banjir. Mengenal dan mendeskripsikan konstruksi hunian masyarakat Rejang dalam konteks mitigasi Rejang akan memperkaya pengetahuan mengenai perwujudan arsitektur lokal yang adaptif dengan alam dan iklim daerah Bengkulu.
Child Stunting Risk Analysis through Machine Learning Models using XGBoost Algorithm Renaningtias, Nurul; Prihatiningrum, Atik; Hardiansyah, Hardiansyah; Setiawan, Yudi; Vatresia, Arie
Jurnal Teknologi Informasi dan Terapan Vol 12 No 2 (2025): December
Publisher : Jurusan Teknologi Informasi Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25047/jtit.v12i2.452

Abstract

Stunting is a chronic nutritional disorder that significantly affects child growth, development, and the overall quality of future human resources. According to the 2024 Indonesian Nutritional Status Survey (SSGI), the prevalence of stunting remains high at 19.8%, equivalent to approximately 4.48 million children under five. Early detection of stunting risk is essential for timely and data-driven interventions. This study employed the CRISP-DM methodology, encompassing business understanding, data collection, preparation, modeling, and evaluation phases. The dataset was processed through cleaning, variable encoding, and stunting status classification based on WHO standards. An XGBoost-based predictive model was developed and evaluated using accuracy, precision, recall, and F1-score metrics. The model achieved 98% accuracy in predicting stunting risk. Feature importance analysis revealed that height is the most influential variable determining stunting risk.
Co-Authors Agus Heru Purnomo, Agus Heru Anom Ramawangsa, Panji Arie Vatresia B Heru Santosa, B Heru Besperi, Besperi Debie Rizqoh Diyas Widiyarti Eka Vuspa Sari Haidi, Akhdan Hanif, Muhammad Fauzan Hardiansyah Hardiansyah Islam, Mukhlis Meidiyanti, Prima Nugraheni, Enny Nurul Renaningtias, Nurul Oktavallyan, Dwi Oktavallyan Panji Anom Ramawangsa Rabi, Alfa Ramawangsa, Panji Anom Razali, Makmun Reza Reza Razali, Makmun Samsul Bahri Saputri, Dwi Oktavallyan Seftyarizki, Debby Shody Ashari, Amin Wahyuni, Ade Sri Yudi Setiawan