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All Journal TELKOMNIKA (Telecommunication Computing Electronics and Control) Bulletin of Electrical Engineering and Informatics LEMMA: Letters Of Mathematics Education MUST: Journal of Mathematics Education, Science and Technology BAREKENG: Jurnal Ilmu Matematika dan Terapan JOURNAL OF APPLIED INFORMATICS AND COMPUTING Eksakta : Berkala Ilmiah Bidang MIPA Jurnal Varian Pelita Eksakta Majalah Ilmiah Matematika dan Statistika (MIMS) Journal of Applied Data Sciences Journal of Science and Technology MATHunesa: Jurnal Ilmiah Matematika Journal of Mathematics UNP Mathematical Journal of Modelling and Forecasting Journal of Statistics and Data Science
Devni Prima Sari
Universitas Negeri Padang
Agriculture, Biological Sciences & Forestry Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering 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 Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Social Sciences Transportation Other

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Journal : Journal of Mathematics UNP

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Prediksi Penyakit Diabetes Dengan Naive Bayes Wardana, Yuni; Sari, Devni Prima
Journal of Mathematics UNP Vol 8, No 3 (2023): Journal Of Mathematics UNP
Publisher : UNIVERSITAS NEGERI PADANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/unpjomath.v8i3.15070

Abstract

Diabetes is one of the top ranked diseases for non-communicable diseases which is top cause of death worldwide. Every year 442 million people worldwide have diabetes and 1.6 million people die due to diabetes. With increasing cases of diabetes every year, this detection may need to be done before diabetes occurs. So a research was conducted on diabetes prediction using the Naïve Bayes method. According to the Naïve Bayes model, people with diabetes have a 28% chance of developing diabetes and a 72% chance of not having diabetes. And this research achieved 94% accuracy, 95% precision, and 98% recall.
Analisis Pemilihan Supplier Bahan Baku Menggunakan Multi-Choice Goal Programming (Studi Kasus: Jagung Super Manis F1 Aina Batuhampar) Filfiqri, Hamimatul; Sari, Devni Prima
Journal of Mathematics UNP Vol 7, No 4 (2022): Journal Of Mathematics UNP
Publisher : UNIVERSITAS NEGERI PADANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/unpjomath.v7i4.13835

Abstract

Supplier selection is a stage to determine the best suppliers needed by industry players to provide materials or raw materials in the production process. To obtain quality raw materials, companies must be selective in choosing suppliers. The study aims to facilitate the decision-making process in selecting raw material suppliers for Aina Batuhampar Super Sweet Corn F1 with Multi-Choice Goal Programming. This study analyzes the loss value for each criterion with the TLF and determines the weight value of each criterion with the AHP. These represent both of them the coefficients of MCGP is to determine the best supplier using Lindo software. The objective function by calculating using Lindo, we conclude that the best supplier priorities for Aina Batuhampar's F1 super sweet corn sequentially E, A, C, D, and B with respective cost are Rp. 7.175, Rp. 92.534, Rp. 104.222, Rp. 110.171, and Rp. 110.603.
Co-Authors 1004, Anisa Abda Abda Adellia, Clara Febby Adhitya Ronnie Effendie, Adhitya Ronnie Afifah Humayrah Afifah, Wardah Hasna Anggraini, Fira Anis, Mei Syarah arsilla uswatunnisa Danardono Danardono Dedi Rosadi Deswita, Siska Dina Agustina Dina Fakhriyana Emmelia Safani Fadhilah Fitri Febri, Fera Malianis Filfiqri, Hamimatul Gulo, Trimodesman Hardinsyah Gusvira Widuri irwandi irwandi Jayawarsa, A.A. Ketut Jeri Jefrianto Lestari, Adika Risky Media Rosha Medika, Amelia Nurul Miftha Delinda Muhammad Rashif Hilmi nur hafizah Pepi Novianti Prastika, Ifa Pratama, Tasya Putri Puja Ermiati Putri, Elisa Ananda Putri, Muthiara Hazimah Putri, Rahma Dana Putriyana Nursal Rara Sandhy Winanda Riri Indriani Rohadatul Aisy Sadli, Wanda Hamidah Soleha, Annisa Sumita, Nurmaya Tessy Octavia Mukhti Tri Rahmayani Ulfasari Rafflesia Wardana, Yuni Yolandafitri Zulvia