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All Journal INTEGER: Journal of Information Technology SMARTICS Journal J I M P - Jurnal Informatika Merdeka Pasuruan Jurnal Teknologi Terpadu SPIRIT
Muhammad Misdram
Jurusan Informatika Fakultas Teknologi Informasi Universitas Merdeka Pasuruan
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering

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Journal : SPIRIT

 1 
OPTIMASI KOMPOSISI MAKANAN UNTUK PENDERITA ANEMIA MENGGUNAKAN METODE VARIABLE NEIGHBORHOOD SEARCH Muhammad Misdram; Adi Cahyono
SPIRIT Vol 13, No 1 (2021): Jurnal SPIRIT
Publisher : STMIK YADIKA BANGIL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53567/spirit.v13i1.201

Abstract

Abstract: Lack of blood or anemia is a condition when the body lacks healthy red blood cells or when red blood cells do not function properly. Anemia is defined as a low concentration of hemoglobin (Hb) in the blood (WHO, 2015). Anemia is one of the problems with anemia that commonly occurs when the number of erythrocytes is less than normal or due to low hemoglobin concentrations in the blood (Depkes, 2008). One of the efforts to live a healthy life in patients with anemia is to pay attention to the consumption of healthy foods as needed. The composition of food by paying attention to the level of iron content in food can be done using the Variable Neighborhood Search (VNS) method. The data used in this study are 100 food data and data on nutritional needs according to age and gender. VNS has several stages, namely after generating the initial solution then doing the shaking stage, local search. The test results show that the average fitness results are seen from the criteria values. The number of local searches that are too many does not guarantee a solution with the best fitness, but a large number of local searches can provide wider search opportunities. The results of the study were in the form of optimizing the composition of food that had been selected by the patient by approaching the nutritional needs of the anemic patient.Keywords: Anemia, Food Composition, Variable Neighborhood Search
KLASIFIKASI DATA SET VIRUS CORONA MENGGUNAKAN METODE NAÏVE BAYES CLASSIFIER Muhammad Misdram; Fahmi Syarifuddin; Anang Aris Widodo
SPIRIT Vol 12, No 2 (2020): SPIRIT
Publisher : STMIK YADIKA BANGIL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53567/spirit.v12i2.184

Abstract

Abstract: At the beginning of 2020 the world of health was shocked by the discovery of a new virus that was known to have originated from this virus in Wuhan, China. Almost the whole world has experienced this virus pandemic. Then on February 11, 2020, the World Health Organization named the new virus Severa acute respiratory syndrome coronavirus-2 (SARS-CoV-2) and the name of the disease as Coronavirus Disease 2019 (COVID-19) (WHO, 2020). At first, the transmission of this virus could not be determined whether it was between animal-human or human-human. Meanwhile, the number of cases continues to increase over time. At that time, there were 15 medics infected by one of the patients. It was finally confirmed that the transmission of pneumonia can be transmitted from human to human. Until now, the handling of Covid-19 patients is still continuing. This is because the number of patients continues to grow every day. For this reason, an application is needed that can monitor the cure rate for Covid-19 patients. This system is built using the Naïve Bayes Classification (NBC) method. The NBC method is a method used for classification and can predict future opportunities based on past experiences. The test results show that using the Nive Bayes Method has a fairly good accuracy, namely 84%. Keywords : Covid-19, classification, Naïve Bayes Classifier
Co-Authors Abdul Aziz Adi Cahyono Ainunnisa Indah Rizqya Anang Aris Widodo Danang Tisma Amijaya Dian Ahkam Sani Fahmi Syarifuddin Laila Safira Nanda Martyan Anggadimas