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Journal : Jurnal Transformatika

DESAIN SISTEM INFORMASI GEOGRAFIS PEMETAAN GIZI BURUK DI KOTA SEMARANG Agus Herlambang, Bambang; Veria Setyawati, Vilda Ana
Jurnal Tr@nsForMat!ka Vol 13, No 2 (2016)
Publisher : Jurusan Teknologi Informasi Universitas Semarang

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Abstract

Severe Protein Energy Malnutrition (PEM) are four major problems in the nutrition world. Such as iodine deficiency disorders, and lack of vitamin A. It also often called malnutrition caused by shortages associated poor dietary intake in terms of quality and quantity. Based on data from Semarang Health Office in 2013, the scope of severe PEM in children under five with BGM (Down Red Lines) of 1,502 (1.7%) and children with severe malnutrition by 32 (0.04%). The number of infants with BGM (Down Red Lines) in Semarang in 2013 was 1,502 or 1.7%. Geographical Information Systems (GIS) is one of the information technology that was designed to use spatial and non spatial data. The system could report information and summarize the malnutrition data thus help to process analysis of the causes of malnutrition in the region. Geographic information systems development method used waterfall method with Unified Modeling tools laguage (UML). System testing was done by white box method for testing complexity groove siklomatis on system design and black box to test the input and output.
Implementasi Algoritma Linear Congruent Method Pada Pengacakan Soal Kuis dalam Aplikasi Mobile Learning Anemia Berbasis Android (MobiliA) Herlambang, Bambang Agus; Wibowo, Setyoningsih; Choirunnisa, Choirunnisa; Setyawati, Vilda Ana Veria
Jurnal Transformatika Vol. 18 No. 2 (2021): January, 2021
Publisher : Jurusan Teknologi Informasi Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/transformatika.v18i2.2382

Abstract

Anemia is a lack of blood condition with reduction in hemoglobin as one of indicator.  According to data from the Basic Health Research in 2013, the prevalence of anemia sufferers in Indonesia was high at 37.1%. The figure was almost close to severe public health problems with an anemia prevalence limit of more than 40%. However, this was not accompanied by low public knowledge about anemia.Therefore, researcher created an anemia mobile learning application based on android to increase people knowledge about anemia in everytime.There were quizzes randomly issued using the Linear Congruent Method algorithm. Linear Congruent Method algorithm, which was an algorithm that produced random permutations from a finite set. Testing Linear Congruent Method (LCM) algorithm was able to produce an effective randomization problem, where there was no repetition of the same value if the value of the declared variable meets the determination parameters of the existing LCM Algorithm i.e. the increment value and modulus must be relatively prime.