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All Journal Antivirus : Jurnal Ilmiah Teknik Informatika Jurnal Teknologi Informasi dan Terapan (J-TIT)
M. Taofik Chulkamdi
Universitas Islam Balitar
Computer Science & IT Electrical & Electronics Engineering

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PERANCANGAN DAN IMPLEMENTASI ALAT UKUR KUALITAS AIR MENGGUNAKAN METODE NEFELOMETRIK M. Taofik Chulkamdi
Jurnal Teknologi Informasi dan Terapan Vol 4 No 1 (2017)
Publisher : Jurusan Teknologi Informasi Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25047/jtit.v4i1.19

Abstract

Turbid warter is one of the characteristics of unclean water and unhealthy. Importance of water clarity to humans at this time then designed a device that could measure water quality using a LDR sensor, where the sensor can detect light from a diode light levels. LED penetrating the water, it will be detected water quality. Microcontroller in the system that became controlleris arduino uno. Out of this toolis the percentage rate that water quality will be displayed on the LCD. Testing water quality measuring instrument is using nefelometric. System testing is done by detecting changes in the level of water quality in five sampel of bottled water, drinking water processed two and three wastewater. The results are not clear, the higher the level of water or less clear water, the sensor output voltage is also higher.
PENERAPAN ALGORITMA K-NEAREST NEIGHBOR UNTUK KLASIFIKASI PENYAKIT DIABETES MELITUS: STUDI KASUS : WARGA DESA JATITENGAH Happy Andrian Dwi Fasnuari; Haris Yuana; M. Taofik Chulkamdi
Antivirus : Jurnal Ilmiah Teknik Informatika Vol 16 No 2 (2022): November 2022
Publisher : Universitas Islam Balitar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35457/antivirus.v16i2.2445

Abstract

Diabetes is a disease characterized by high levels of sugar in the blood which causes this disease to be very dangerous. If diabetes is not controlled properly it will lead to death. The death rate due to diabetes mellitus is relatively high because the patient does not feel the symptoms of diabetes or does not understand the characteristics of diabetes. To determine a person suffering from diabetes mellitus, several medical tests are needed so that the diagnostic results can be guaranteed authenticity and the clinical trial process certainly takes a long time. long. Based on these problems, a program for the classification of diabetes mellitus was made using the K-Nearest Neighbor (KNN) algorithm. The KNN algorithm is a method for classifying new objects based on training data that has the closest neighbor to the object. This study uses 8 variables, namely easy thirst, weight loss despite regular food consumption, high blood pressure, there is a history of diabetes in the family, wounds that are difficult to heal, frequent urination at night, results of blood sugar checks and age. The data used are 108 training data and 27 testing data resulting in 93% accuracy at K=9, 100% precision, 60% recall and 75% F1-Score. With an accuracy rate of 93%, this study is considered to have succeeded in applying the KNN method to classify diabetes mellitus.
ENERAPAN FORWARD CHAINING SEBAGAI IDENTIFIKASI DAMPAK NEGATIF KECANDUAN GAME ONLINE PADA KESEHATAN MENTAL DAN PERILAKU REMAJA Farisa Sadza Wardani; Sri Lestanti; M. Taofik Chulkamdi
Antivirus : Jurnal Ilmiah Teknik Informatika Vol 16 No 2 (2022): November 2022
Publisher : Universitas Islam Balitar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35457/antivirus.v16i2.2459

Abstract

The development of increasingly sophisticated technology provides changes in the form of human activity, one of which is the type of game. With the advent of audio-visual games that can be accessed via the internet. Known by the name of online games. Playing online games with a high level of intensity can have a positive or negative impact. The risk of dependence that can arise from online game addiction can cause mental health problems and behavioral changes that can occur in adolescents. So it is necessary to identify based on the habit of playing online games in adolescents. From solving these problems, an expert system was created to see whether the habits of playing online games by teenagers affected their mental health and behavior. The forward chaining method is used for the inference engine on the expert system to process data from interviews with experts in the field of psychology, there are 17 symptoms in the form of addiction disorders based on aspects of health, psychological, academic, social and financial aspects. Based on the results of the analysis, expert system testing was carried out using verification and validation tests by testing the rules compiled based on the forward chaining method as many as 39 data, the verification test produced results that matched the rules compiled with the results from expert experts and the system validation test resulted in a percentage of 94 %. So based on the research that has been done, the forward chaining method can be used in determining the diagnosis of the negative impact of online game addiction on mental health and adolescent behavior.
Co-Authors Farisa Sadza Wardani Happy Andrian Dwi Fasnuari Haris Yuana Sri Lestanti