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All Journal Jurnal Transformatika TELEKONTRAN: Jurnal Ilmiah Telekomunikasi, Kendali dan Elektronika Terapan Bakti Cendana: Jurnal Pengabdian Masyarakat Mitra Mahajana: Jurnal Pengabdian Masyarakat Jurnal Dialektika Informatika (Detika) Jurnal Nasional Teknik Elektro dan Teknologi Informasi J-Icon : Jurnal Komputer dan Informatika Jurnal Pengabdian Masyarakat Bangsa Jurnal PETISI (Pendidikan Teknologi Informasi) JuTISI (Jurnal Teknik Informatika dan Sistem Informasi)
Adriana Fanggidae
Universitas Nusa Cendana
Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Mathematics Medicine & Pharmacology Nursing Physics Public Health Social Sciences

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Pemanfaatan Differential Evolution dalam Optimasi Kebutuhan Gizi Balita Gizi Kurang dan Buruk Sinyo April Dethan; Adriana Fanggidae; Juan Rizky Mannuel Ledoh; Yulianto Triwahyuadi Polly
Jurnal Teknik Informatika dan Sistem Informasi Vol 12 No 1 (2026): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v12i1.12788

Abstract

Abstract — Malnutrition in toddlers, particularly wasting and severe wasting, remains a significant challenge in Indonesia, particularly in the East Nusa Tenggara (NTT) province. This study aims to develop a daily food menu optimization system for wasted and severely wasted toddlers aged 12-59 months using the Differential Evolution (DE) algorithm. The system is designed to balance macronutrient (energy, protein, fat, carbohydrates, fiber) and micronutrient (calcium, iron, zinc, copper, phosphorus, vitamin C) needs. The utilized database consists of food items commonly found and easily accessible in NTT, categorized into staple foods, side dishes, vegetables, and fruits. The DE algorithm was implemented to generate optimal, varied, and affordable menu combinations. The results show that the DE algorithm successfully created balanced menu recommendations. The optimal configuration was achieved with a population size of 20 and 1,500 iterations, consistently producing valid menu solutions with efficient computation time. This system proves to be an effective tool for addressing toddler nutritional fulfillment by considering local food variety and affordability.
Optimasi Perencanaan Menu Makanan Untuk Anak Gangguan Gizi Usia 5-18 Tahun Menggunakan Algoritma Genetika Antonius Rivaldy Praing; Adriana Fanggidae; Yelly Yosiana Nabuasa; Yulianto Triwahyuadi Polly
JURNAL PETISI (Pendidikan Teknologi Informasi) Vol. 7 No. 3 (2026): JURNAL PETISI (Pendidikan Teknologi Informasi)
Publisher : Universitas Pendidikan Muhammadiyah Sorong

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36232/jurnalpetisi.v7i3.4206

Abstract

Penelitian ini mengembangkan sistem optimasi perencanaan menu makanan bergizi untuk anak usia 5 sampai 18 tahun yang mengalami gangguan gizi di Indonesia menggunakan pendekatan algoritma genetika. Sistem dirancang untuk menghasilkan menu yang variatif dan optimal guna memenuhi kebutuhan gizi seimbang berdasarkan parameter makronutrien (energi, protein, lemak, karbohidrat) dan mikronutrien (kalsium, fosfor, zat besi, tembaga, seng, dan vitamin C). Algoritma genetika diterapkan dengan teknik pengkodean real-number encoding, seleksi berbasis peringkat (rank-based selection), Simulated Binary Crossover (SBX), dan Gaussian mutation. Pengujian dilakukan dengan crossover rate 0,8 dan mutation rate 0,2, menggunakan variasi populasi 20 dan 30 serta iterasi 1000, 2000, dan 3000 yang masing-masing diulang 20 kali. Hasil terbaik diperoleh pada populasi 30 dan 2000 iterasi, menghasilkan rata-rata 79,75 menu optimal dengan waktu komputasi 1529,90 detik. Sistem ini terbukti efektif dalam menyusun menu seimbang sesuai kebutuhan gizi anak.
Co-Authors Adnan Putra Rihi Pati Afriani Afriani Afriani Anggal, Virgilius Ananias Anita M Sonbay Antonius Rivaldy Praing Arfan Y Mauko Ari, Valensius Justicio Gaso Bana, Delisber Bernadete B. Koten Bire, Mey Trinithy Bloemhard, Putri E Clarissa Elfira Amos Pah David Wewo De Rosari, Bernaditho Epyfilipdav Sven Derwin R Sina Derwin Rony Sina, Derwin Dethan, Sinyo April Djati, Fadli Firmansyach Djawa, Herijuart Dwitala, Allen Miquel Emerensye S Y Pandie Emerensye S. Y. Pandie Farhan Aditya Rafi Gever Imanuel Taopan Giri, Imanuel Raja Hardin, Archangela Zita Henuk, Rally Solendra Hepiyana V Runesi Jesica Cecilia Djami Manu Juan Rizky Mannuel Ledoh Katarina N. Lakonawa Kornelis Letelay Lifere, Anggi Tri Sujada lona, ririn Manek, Marselina Devita Meiton Boru Meiton Boru Mellanie Lette Metkono, Denni Irvanto Missa, Trivena Dayana Nabuasa, Yelly Yosiana Nelci D Rumlaklak Nelci Dessy Rumlaklak Nge, Mariana Elisabeth Carolina Rahmadanilah Rahmadanilah Rizal Pebianto Rumlaklak, Nelci Dessy Sebastianus A S Mola Sebastianus A. S. Mola Sebastianus Adi Santoso Mola Sebastinaus Adi Mola Setiawan, Sultan Pablo Sihotang, Dony Martinus Sinyo April Dethan Theresia Kolo Tiwuk Widiastuti Viani Anika Afeanpah yelly y nabuasa yelly y nabuasa Yelly Yosiana Nabuasa Yulianto T Polly Yulianto Triwahyuadi Polly Yulianto Triwahyuadi Polly