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All Journal Jurnal Informatika dan Teknik Elektro Terapan POROS TEKNIK Jurnal Noken: Ilmu-Ilmu Sosial INTECOMS: Journal of Information Technology and Computer Science JURNAL PENDIDIKAN TAMBUSAI International Journal of Social Service and Research Shautuna: Jurnal Ilmiah Mahasiswa Perbandingan Mazhab Prosiding Seminar Nasional Biologi, Teknologi dan Kependidikan (Biotik) Sisfo: Jurnal Ilmiah Sistem Informasi Sewagati PARAPOLITIKA: Journal Of Politics and Democracy Studies Transcendent Journal of Mathematics and Applications VISA: Journal of Vision and Ideas Al-Ihtiram: Multidisciplinary Journal of Counseling and Social Research DISCOURSE : Indonesian Journal of Social Studies and Education Indonesian Journal of Islamic Law (IJIL) Jurnal Audit, Pajak, Akuntansi Publik Jurnal Transportasi dan Bahari (ALTAIR) Journal of Engineering and Technological Sciences
Saputra, Ilham
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Journal : Transcendent Journal of Mathematics and Applications

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Improved Particle Swarm Optimization in Nutrition Adjustment for Hypertension Patient Rosidha, Anisa Nur; Mardianto, Lutfi; Saputra, Ilham; Nasution, Achmad Suryadi
Transcendent Journal of Mathematics and Applications Vol 3, No 1 (2024)
Publisher : Syiah Kuala University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/tjoma.v3i1.37791

Abstract

Hypertension is one of the biggest contributors to the death cause in the world. This disease arises due to an unhealthy lifestyle and improper diet. In order to fulfill proper nutrition for people with hypertension, the composition of food for people with this disease needs to be regulated to produce optimal results according to their needs with the Improved Particle Swarm Optimization (IPSO) algorithm. Data collection was carried out on 96 patients with 1000 particles, a maximum iteration of 1000 and acceleration coefficients , , serta . The results show that the best fitness is 6,284 determined by price Rp 28.000 and 14 different variety of food. Based on the tests, the IPSO algorithm is effective in optimizing the nutrition of food composition with an accuracy rate of more than 99%.
Co-Authors Achmad Suryadi Nasution Ahmad, M. Ridwan Said Alhanannasir, Alhanannasir Amelia, Devi Amin, Abd. Rauf Muhammad Anderson, Ranap Angraini, Ria Apriade Voutama Ari Purnawan Ayu, Fidia Banggu, Masni Berlian, Alviona Bukhari Bukhari Chang, Shyang-Jye Dea Rizky Amalia Putri Ditta Kharisma Yolanda Putri FAQIH, ABDULLAH Gomes, Efrem Olivio Hartati, Diah Vitaloka Hayatul Khairul Rahmat Idealistuti, Idealistuti Jufri , Agustion Laila, Dwi Nuraini Mardianto, Lutfi Muhammad afrizal Mulawarman Murtado, Asep Dodo Musyfikah Ilyas, Musyfikah Ni Luh Darmayanti Nofriadi Nofriadi Nurmala, Eka Oktaviani, Melinda Parameswara, Prasetyo Prisiantika, Intan Rahmaddeni Rahmaddeni Rahmi Rahmi Ravitilova, Ravitilova Rinda, Rinda Rosidha, Anisa Nur Sari, Difka Augustina Diana Satria, Riyan Sebayang, Nico Setiyoko, Didik Tri Surbakti , Valina Singka Tusriadi Widjatma, Ridho Rahadina Yuli Yetri Zamzamia, Izatun Zuhriah Mumtazah Zulqarnain, A Muhammad Iman