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All Journal Jurnal Jaringan Telekomunikasi
M. Nanak Zakaria
State Polytechnic of Malang
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering

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RANCANG BANGUN SISTEM MONITORING TINGGI, BERAT BADAN DAN INDEX MASSA TUBUH (IMT) MENGGUNAKAN NODEMCU ESP8266 BERBASIS ANDROID M. Nanak Zakaria; Koesmarijanto Koesmarijanto; Mariyah El Qibthiyah
Jurnal Jaringan Telekomunikasi Vol 12 No 1 (2022): Vol. 12 No. 01 (2022) : March 2022
Publisher : Politeknik Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/jartel.v12i1.263

Abstract

Generally, height and weight measurements are carried out separately as well as to determine the Body Mass Index must be calculated manually using specific formulas that not everyone understands, so it is difficult to know whether the body has reached a normal number or not. This study will provide suggested solutions to support the body to be healthy in measuring devices and android applications, for height measurement using ultrasonic sensors, weight using loadcell sensors and NodeMCU ESP8266 as data processors. The results of measuring height and weight appear on an LCD, the results of Body Mass Index (BMI) and the recommended solutions to meet standard body numbers in calculating BMI appear on the android application. Based on the results of the tests carried out, it is known that designing a measuring instrument with NodeMCU ESP8266 based on Android has been successfully carried out. The measuring instrument by implementing the Ultrasonic Sensor HC-SR04 as a height measurement can perform a success percentage of 96.95% and Loadcell Sensor as a weight measurement can perform the percentage of success is 98.97%, while in measuring Body Mass Index (BMI) can do a success percentage of 90.84%, the measuring instrument can also emit sound in the form of body condition in accordance with the measurement results obtained by the microcontroller with a success percentage of the sound output of 100% but has an average percentage of voice output delay variations of 2.1 seconds.
COVID-19 Disease Diagnosis Expert System with Certainty Factor Method using iOS-Based App Supriatna Dwi Atmaja Suprayitno; M. Nanak Zakaria; Ahmad Wilda Yulianto
Jurnal Jaringan Telekomunikasi Vol 12 No 3 (2022): Vol. 12 No. 03 (2022) : September 2022
Publisher : Politeknik Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/jartel.v12i3.336

Abstract

The drop in COVID-19 patients in Indonesia from January to February 2022 made many companies prepare policies to no longer enforce work from home. At the office, we can interact and meet other people directly and it is possible to be exposed to Covid-19 that could potentially become a new wave of COVID-19. This effect poses a serious risk to all people who come into contact with COVID-19-infected individuals or are close to them. The major course of action that may be performed when someone has COVID-19 is self-isolation and tracking anyone who is around or has a health condition associated to COVID-19. We require an iOS-based COVID-19 diagnosis expert system application to track the health status of everyone around us because we are unable to know the health status of everyone. The application uses artificial intelligence technology in the form of an expert system to check health conditions. The expert system replaces the role of the expert with the certainty factor method. This app should be used every time before entering a potentially crowded place to clarify tracking by using maps feature. In addition to COVID-19, this expert system can also diagnose diseases that have the same symptoms as Typhoid Fever and Pneumonia. The results of the expert system are in the form of diagnosing the user's health condition based on the symptoms given with a confidence level of up to 0.9999952130944 or 99.99952130944% for COVID-19, 0.9676 or 96.76% for Typhoid Fever, and 97% for Pneumonia.
A Component Loan Application Design and Check Loan Transactions for Dependent Free Letters at the AI Building at The State Polytechnic of Malang Web-Based Cindy Dwi Puspita Sari; M. Nanak Zakaria; Rieke Adriati Wijayanti
Jurnal Jaringan Telekomunikasi Vol 12 No 3 (2022): Vol. 12 No. 03 (2022) : September 2022
Publisher : Politeknik Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/jartel.v12i3.343

Abstract

The development of information and communication technology is a major need in this advanced era with the aim of all computerized activities ranging from office work, banking, administration, libraries, education, government, organizations, and many more that are very dependent on the sophistication of computers and existing applications. inside it. In the AI ??Polinema Building in the component borrowing room, the component borrowing system and transaction checking for existing collateral-free letters still use the conventional system which causes ineffectiveness in component borrowing and free-of-liberty letter processing. Therefore, a research will be conducted to design a component loan application and check loan transactions for a Web-based free letter. Based on the problems above, in this study the researchers created a system that can support component lending and checking loan transactions for Web-based free letters. This system uses the Visual Studio Code application. From this study, it was found that the system that has been created by the researcher can run well and can help improve the performance of the technicians on duty in the loan room as well as the effectiveness of time for students in the loan process and managing free letters.
Indoor Positioning and Navigating System Application Using Wi-Fi with Fingerprinting Method and Weighted K-Nearest Neighbor Algorithm: English Arya Putra Hadi Yulianto; M. Nanak Zakaria; Ahmad WIlda Yulianto
Jurnal Jaringan Telekomunikasi Vol 12 No 3 (2022): Vol. 12 No. 03 (2022) : September 2022
Publisher : Politeknik Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/jartel.v12i3.493

Abstract

The need for accurate indoor location determination, object tracking, digital maps and indoor travel routes is increasing along with the construction of buildings that have complex and spacious layouts. The current Global Positioning System navigation system is only effective for outdoor use. However, when used indoors it becomes inaccurate due to factors such as signal attenuation and multipath caused by wall obstructions in the building. This study designed an application of Indoor Positioning and Navigating System Using Wi-Fi with Fingerprinting method and Weighted K-Nearest Neighbor algorithm. In the design process, it is necessary to create a fingerprinting database by considering the number of Access points and environmental conditions. Based on the results of the study, the location results of the application show that from floors 1,2, and 3. Floor 1 has a room accuracy result of 89% and a point accuracy of 86% with an average deviation of 1.42 px or 0.9 m, floor 2 has room accuracy results. of 65% and a point accuracy of 70% with an average deviation of 2.43 px or 1.7 m, and the 3rd floor has a room accuracy of 86% and a point accuracy of 68% with an average deviation of 2.27 or 1.5 m. Based on the data above, this application is proven to be able to detect the position of someone in the room with a success percentage on the 1st floor by 90%, the 2nd floor by 55%, and the 3rd floor by 80%.
Co-Authors Ahmad Wilda Yulianto Arya Putra Hadi Yulianto Cindy Dwi Puspita Sari Koesmarijanto Koesmarijanto Mariyah El Qibthiyah Rieke Adriati Wijayanti Supriatna Dwi Atmaja Suprayitno