Article Per Year (5 Year)
p-Index From 2021 - 2026
1.431
P-Index
This Author published in this journals
All Journal International Journal of Natural Science and Engineering International Journal of Economic, Business, Accounting, Agriculture Management and Sharia Administration (IJEBAS) Jurnal Permata Indonesia JRUP: JURNAL REFERENSI DAN ULASAN PERPAJAKAN MULTIPLE: Journal of Global and Multidisciplinary Indonesian Journal of Education and Social Humanities Bulletin of Engineering Science, Technology and Industry
Mursyidah
Unknown Affiliation
Religion Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Languange, Linguistic, Communication & Media Medicine & Pharmacology Nursing Public Health Social Sciences Other

Published : 9 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : Bulletin of Engineering Science, Technology and Industry

 1 
ANDROID BASED BODY MASS INDEX DETECTION Mutia Utami; Muhammad Nasir; Mursyidah
Bulletin of Engineering Science, Technology and Industry Vol. 2 No. 1 (2024): March
Publisher : PT. Radja Intercontinental Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59733/besti.v2i1.28

Abstract

Obesity and malnutrition are important health problems. To deal with the big risk of health problems, early detection can be carried out by using a standard Body Mass Index (BMI) formula. This detection application will take a photo of the object, which will later determine its Body Mass Index. The image obtained was RoIed using the Thersholding technique with a single threshold value of 160. It is hoped that it can help someone find out the value and category of their Body Mass Index by processing digital images via pixels. The research data obtained is able to inform body weight and pixel height from digital images so that the application can detect Body Mass Index efficiently and practically and can be used by the wider community with a Body Mass Index Detection accuracy of 70% at a distance of 230 cm between the camera and the object.
IOT MONITORING WATER NEEDS IN RICE FIELDS Nanang Prihatin; Hari Toha Hidayat; Mursyidah; Hafhis Gustiawan
Bulletin of Engineering Science, Technology and Industry Vol. 2 No. 2 (2024): June
Publisher : PT. Radja Intercontinental Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59733/besti.v2i1.30

Abstract

Water management is a very important role in the success of increasing rice production in fields. This study took a case study on irrigated rice fields. In an effort to improve the quality and efficiency of water management in rice fields, a good monitoring system is also needed. Generally, monitoring has been done manually so far, the interaction between farmers and irrigation officers is still using the telephone, which costs a lot of money. With the IoT (Internet of Things) technology, it can be applied to a monitoring system for managing water needs in rice fields using mobile-based AHP, which is a system that provides notifications in the form of information on water levels and the best humidity values for rice plants in rice fields in real-time and is able to deliver reports via internet transmission media. This study aims to obtain the value of report delivery speed through monitoring applications and to be able to detect water levels and soil moisture in paddy fields using the Analytical Hierarchy Process (AHP) method and sensor accuracy so that the results are as expected. The research data has been obtained by looking at the suitability of soil moisture information in the application with the ETP302 measuring instrument with an accuracy value of 86.12% and the water level in applications with an actual water level of 66.35%. In testing the speed of sending reports an average value of 1.67 s. In the best soil moisture detection test using the AHP method, the suitability value is up to 91.7% and the water level reaches 93.4%. The sensor can also be turned off or on through the monitoring application.
Co-Authors Binti Mod Zaid, Hasnah Bukhari Hafhis Gustiawan Hari Toha Hidayat Jullimursyida Keumalawati, Seri Mawardati Muhammad Nasir Munjiah Mutia Utami Norlena Nur Hadziqoh Nurlaili Nurul Azmi Prihatin, Nanang Rahmayeni, Foni Ratih Purwanti, Ratih Saipudin