Article Per Year (5 Year)
p-Index From 2019 - 2024
0.408
P-Index
This Author published in this journals
All Journal Borneo Journal of Medical Laboratory Technology Jurnal Teknologi Informasi dan Komunikasi
Alghifari, Muhammad
Unknown Affiliation
Biochemistry, Genetics & Molecular Biology Computer Science & IT Control & Systems Engineering Health Professions Medicine & Pharmacology

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Hubungan Tingkat Pengetahuan Ibu Dan Usia Pemberian Mp-Asi Dengan Kejadian Diare Pada Balita Wilayah Kerja Puskesmas Tampa Kabupaten Barito Timur : Relationship Between Level Of Maternal Knowledge And Age Of Feeding With Diarrhea Incidence In Toddlers, Tampa Health Center, East Barito Alghifari, Muhammad; Lestarisa, Trilianty; Yuliani, Ni Nyoman Sri; Sasmithae, Lia; Balyas, Abi Bakring
Borneo Journal of Medical Laboratory Technology Vol. 6 No. 1 (2023): Borneo Journal of Medical Laboratory Technology
Publisher : Institute for Research and Community Services Universitas Muhammadiyah Palangkaraya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33084/bjmlt.v6i1.6084

Abstract

Diarrhea is defined as a digestive disorder that has the characteristics of defecation 3 times or more during one day which produces a watery stool consistency and can be followed by blood. diarrhea cases that occurred in the East Barito area in 2019 were around 3,428 people for all ages and 1,584 toddlers. maternal knowledge and age of complementary feeding is one of the factors that cause diarrhea. The purpose of the study was to determine the relationship between the level of maternal knowledge and the age of complementary feeding with the incidence of diarrhea in toddlers. This research method is a cross sectional analysis with purposive sampling technique totaling 100 samples. Data were obtained through questionnaires. The results showed a percentage distribution of good knowledge level of 75%. The percentage of the age of giving MP-ASI is exactly 76%. Maternal knowledge and the incidence of diarrhea have a significant relationship with a p value of 0.001. Age of complementary feeding and the incidence of diarrhea have a significant relationship with a p value of 0.001. It is hoped that this research can be an evaluation material in health services.
MACHINE LEARNING PENGAMAN BRANKAS BERBASIS IoT MENGGUNAKAN METODE ALGORITMA NAIVE BAYES PADA PLATFORM THING SPEAK Faritcan Parlaungan Siallagan, Timbo; Alghifari, Muhammad
Jurnal Teknologi Informasi dan Komunikasi Vol 16 No 2 (2023): Oktober
Publisher : STMIK Subang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47561/a.v16i2.244

Abstract

A safe is a tool used to store items, including money, jewelry, or other assets and securities. It is claimed to be simple but carries a high risk because it makes it easy for the safe to be broken into without the owner's knowledge. A household assistant (ART) with the initials HS stole a safe from inside her employer's house located in Taman Kedoya Permai, Kebon Jeruk, West Jakarta, "The safe contained securities documents, two house certificates, and several other documents," said Kebon Jeruk Police Chief Commissioner Slamet Riyadi in Jakarta. With this, the author developed by creating a tool entitled "Machine Learning for Safe Security Based on IoT (Internet of Things) Using the Naïve Bayes Algorithm Method on the ThingSpeak Platform" equipped with RFID as safe door access, SW-420 sensors to detect vibrations in the event of a forced break-in. , a Passive Infra Red sensor to detect movement by the user, and an HX-711 Load Cell sensor to measure the volume weight of the safe to obtain 4 parameters, then the data is processed using the Naïve Bayes algorithm. Naïve Bayes is a statistical grouping that can be used to predict the probability of class members. Naïve Bayes also has extreme accuracy and speed when applied to databases with big data.
Co-Authors Balyas, Abi Bakring Faritcan Parlaungan Siallagan, Timbo Lestarisa, Trilianty Sasmithae, Lia Yuliani, Ni Nyoman Sri