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Journal : Foristek

RANCANG BANGUN SISTEM JARINGAN FAILOVER AUTOMATIC TELLER MACHINE (ATM) MELALUI JARINGAN PUBLIK BERBASIS PROTOCOL EOIP DAN P2TP Ardiansyah, Rizka; Pratama, Septiano Anggun; Iskandar, Iskandar; Anshori, Yusuf; Komang, Gusti
Foristek Vol. 14 No. 2 (2024): Foristek
Publisher : Foristek

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54757/fs.v14i2.584

Abstract

The network on the Automatic Teller Machine currently uses a VSAT (Very Small Aperture Terminal) network based on Geostationary Satellites. VSAT networks often experience problems such as UP-DOWN or total DOWN. Some of the problems that cause interruptions on the VSAT interconnection include the usage period of the Modem electronic device and also ODU (Outdoor Unit) devices such as RFU, LNB, and BUC, ODU devices have a transmit period and also a received period that is uncertain according to the voltage at the location. Problems with the VSAT interconnection system cause ATM services to become unusable, resulting in losses for the bank's profits. In addition, the repair process is also generally quite time-consuming. The purpose of this study is to design an inexpensive ATM backup network solution so that when there is a break/disruption in the VSAT network the service on the ATM is not interrupted and in terms of operational costs does not swell. The backup network is intended to back up the satellite-based leading network automatically so that ATM services are always available when the satellite-based network is interrupted. The result of the study is that the proposed solution can resolve service outages at ATM machines in 34 seconds. The ATM network system will experience disconnection before finally reconnecting through the backup network. The proposed solution is much cheaper than the VSAT-based failover network solution, as it is based on the public internet network.
IMPLEMENTASI ALGORITMA FORWARD CHAINRING DAN CERTAINTY FACTOR PADA SISTEM PAKAR DIAGNOSA EFEK SAMPING BAHAN PEMUTIH KOSMETIK PADA KULIT Ardiansyah, Rizka; Indrajaya, Muhammad Aristo; Joefrie, Yuri Yudhaswana; Pratiwi, Inten Sakti
Foristek Vol. 13 No. 1 (2023): Foristek
Publisher : Foristek

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54757/fs.v14i1.253

Abstract

Most people, especially women, are generally not educated about what ingredients are contained in a cosmetic and only rely on social media as a reference by looking at influencers who advertise a beauty product. To consult with a dermatologist also requires a lot of money, so they choose not to care about it, this causes many cases handled by dermatologists are cases that are too severe. Therefore, there is a need for awareness and education for women, especially teenagers regarding the use of illegal cosmetics, so through this research, the authors try to propose a free, expert-based platform that can be accessed in general by people from anywhere and anytime to carry out self- assessments or self-examinations. or education that makes it easier for the public to get easy and detailed information access regarding the hazardous ingredients contained in cosmetics. So in this study, we propose an educational media and expert-based assessment of the symptoms of the disease suffered in the form of developing an expert system based on the forward chaining algorithm and certainty factor, which involves a dermatologist. based on the results of testing the accuracy of 20 data samples, 18 data were appropriate and 2 data were not appropriate so that the accuracy obtained was 90%, and from user satisfaction testing it was found that 80% were satisfied with the system created and 20% were not satisfied.
MONITORING PARAMETER AIR BERBASIS IOT (INTERNET OF THINGS) Anshori, Yusuf; Parenrengi, Andi Fathur Alamsyah A.; Angreni, Dwi Shinta; Ardiansyah, Rizka; Joefrie, Yuri Yudhaswana
Foristek Vol. 13 No. 2 (2023): Foristek
Publisher : Foristek

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54757/fs.v14i2.322

Abstract

Water is a necessity for living things that have certain parameters to be consumed. This tool is made to measure the parameters of pH, temperature and turbidity of water quality and this tool is integrated with Internet of Things (IoT) technology so that sensor measurement data can be accessed anywhere and anytime. This tool implements Fuzzy Logic to generate “clean” and “unclean” values for water and uses the NodeMCU-ESP32s Module as the main controller, the PH-4502c sensor measures pH, the SKUSEN0189 sensor measures turbidity, and the DS18B20 sensor measures temperature. The results show that all sensors work well with an average error value of 2.95% for pH, 0.80% for temperature, and 21.32% for turbidity.