Zulfahmi Syahputra
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AUTOMATIC GALLON WATER SYSTEM MONITORING APPLY FUZZY LOGIC Zulfahmi Syahputra; Muhammad Syahputra Novelan; Purwa Hasan Putra
INFOKUM Vol. 9 No. 2, June (2021): Data Mining, Image Processing and artificial intelligence
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (351.533 KB)

Abstract

A dispenser is a household appliance that is used by almost every Indonesian citizen, a dispenser is a household appliance that functions as a container for gallons of water to refill. Because water is a very promising need, the water refill gallon business is very rapidly developing, both water depot owners or consumers sometimes cannot know when the gallon water runs out unless they see it directly, sometimes due to dense activity so they cannot monitor repeatedly when the water is gallon. it ran out so research was carried out on the manufacture of automatic dispensers. To carry out the automation process, it is assisted by a microcontroller device called Wemos D1, besides that there are two sensors as sending messages, namely the ultrasonic sensor and the infrared tcrt 5500 sensor with the help of an Android-based application so that water notifications run out on the smartphone. In addition, to calculate the messages sent through the sensor, the fuzzy logic method is used. After testing in this study, the ultrasonic sensor sends a message for water conditions in gallons and has a vulnerable value (0 - 40) 0 is a full gallon and 40 is an exhausted gallon. While the infrared tcrt 5500 sensor sends a message for gallon conditions and has a vulnerable value (100-1000) 100 is the value of gallons installed (GTS) and 1000 is the value of gallons not installed (GTT), it can be concluded that the applied method can determine the water condition used up and the condition of the gallon that is not installed and the accuracy obtained is 98%.
Prediksi Aktivitas Tanpa Masker Dengan Kombinasi Metode Single Exponential Smoothing Dan Fuzzy time series Edi Suranta Sembiring; Zulfahmi Syahputra
J-Com (Journal of Computer) Vol 2, No 1 (2022): MARET 2022
Publisher : LPPM STMIK Royal Kisaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/j-com.v2i1.1588

Abstract

Abstract: The government has continued to work hard in efforts to prevent the COVID-19 virus with complete vaccines for the community due to the importance of complete vaccination as an aspect of consideration for the implementation of the policy of doing activities without masks. Currently, only 15.91 percent of Indonesia's total population is fully vaccinated. Still a long way from the published figure of 50% of the total population. The goal of this study is to model and predict when the Indonesian government will be able to implement policies that will allow its citizens to move around without wearing masks, assuming that at least 50% of the Indonesian population has received the full dose of the vaccine. As a result, we require calculation guidelines to assist us.            Keywords: Mask; SES; FTS.  Abstrak: Pemerintah terus bekerja keras dalam upaya pencegahan virus COVID-19 dengan vaksin lengkap bagi masyarakat mengingat pentingnya vaksinasi lengkap sebagai aspek pertimbangan implementasi kebijakan beraktivitas tanpa masker. Saat ini, hanya 15,91 persen dari total penduduk Indonesia yang divaksinasi lengkap. Masih jauh dari angka yang dipublikasikan 50% dari total populasi. Tujuan dari penelitian ini adalah untuk memodelkan dan memprediksi kapan pemerintah Indonesia akan dapat menerapkan kebijakan yang memungkinkan warganya untuk bergerak tanpa memakai masker, dengan asumsi bahwa setidaknya 50% penduduk Indonesia telah menerima vaksin dosis penuh. Akibatnya, kami memerlukan pedoman perhitungan untuk membantu kami. Kata kunci: Masker; SES; FTS