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All Journal JISA (Jurnal Informatika dan Sains) SIGMA: Information Technology Journal
Moh Khamim
Universitas Pelita Bangsa
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering

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Water Quality Monitoring System with Parameter of pH, Temperature, Turbidity, and Salinity Based on Internet of Things Yazi Adityas; Muchromi Ahmad; Moh Khamim; Khalis Sofi; Sasmitoh Rahmad Riady
JISA(Jurnal Informatika dan Sains) Vol 4, No 2 (2021): JISA(Jurnal Informatika dan Sains)
Publisher : Universitas Trilogi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31326/jisa.v4i2.965

Abstract

This research aims to monitor the quality of water used for aquariums. The physical parameters used are water pH, water temperature, water turbidity, and water salinity. Using a pH sensor, temperature sensor, turbidity sensor, and salinity conductivity sensor with Arduino as the controller. The prototype method used in this research, starting from the formulation, research, building stages to testing and evaluating the results of the research. The working process of the system is when the system is activated, the sensors will detect and capture the amount of value contained in the water, then the data from the sensor is sent to a database in the cloud using an ethernet shield that is connected to the media router as a liaison for the internet network then displayed on the website dashboard in the form of graphs and monitoring record tables in real time. The sensors function to detect water quality, where quality standards have been set in this system, namely temperature standards of 27-30°C, pH standards of 7.0-8.0, turbidity standards of 2.5-5 ntu, and salinity of 20-28 ppt. If the sensor detects non-compliance with water quality standards, the buzzer in this system will sound. From the results of system testing, sensors can detect water quality in real time within 5-10 seconds. Based on the research results, this water quality monitoring system is effective to help ensure the quality of the water in the aquarium so that it always meets the standards.
Penerapan Sistem Pendukung Keputusan Untuk Memprediksi Kinerja Supplier Terbaik Menggunakan Metode Naive Bayes (Studi PT. Shin Heung Indonesia) Muhammad Makmun Effendi; Ermanto Ermanto; Moh Khamim
Jurnal SIGMA Vol 13 No 2 (2022): Juni 2022
Publisher : Teknik Informatika, Universitas Pelita Bangsa

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Abstract

In companies usually always assessing suppliers but in this company it's still subjective so that in this research, aims to predict suppliers best by implementing decision support system for get the best supplier predictions objective with naive bayes method using assessment parameters quality, capacity, price, service and this parameter to get the criteria best supplier status, good supplier and suppliers are not good. In this research made a test data with value criteria quality, capacity, price, service by generating a prediction the best supplier status because it has the highest value with a value of 1, while for suppliers both 0.6 and suppliers unfavorable is 0.1. Support system the decision to predict the best supplier using naive algorithm method Bayes can make it easier to get best supplier predictions. Keywords: Sistem Pendukung keputusan, Php, Naïve Bayes
Co-Authors Ermanto Ermanto Khalis Sofi Muchromi Ahmad Muhammad Makmun Effendi Riady, Sasmitoh Rahmad Yazi Adityas