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All Journal Jurnal Puan Indonesia Jurnal Pengabdian Kepada Masyarakat Prosiding Seminar Nasional Ilmu Sosial dan Teknologi (SNISTEK)
Very Karnadi
Universitas Putera Batam
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Economics, Econometrics & Finance Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Public Health Social Sciences Other

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Journal : Prosiding Seminar Nasional Ilmu Sosial dan Teknologi (SNISTEK)

 1 
Desain System Smart Clothesline Berbasis Arduino Dengan Metode Logika Fuzzy Joni Eka Candra; Very Karnadi
Prosiding Vol 1 (2018): SNISTEK
Publisher : LPPM Universitas Putera Batam

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Abstract

Drying clothes is one activity that moften done in household life. Batam islands almost rainfall throughout the year and the people of Batam City are working in the industrial and government sectors indirectly often outside the house so that the activities of drying clothes left abandoned or working, so become it rains or when the night come can not lift clothesline. Based on these problems the researcher wishes to design and build a system that can work automatically by using arduino uno R3 as control system and fuzzy logic method mamdani as logic control system and utilizing water sensors and LDR sensors as input data from the outside environment in case of change. Based on the result of testing of smart clothesline system based on Arduino using fuzzy logic method can be concluded that the system has been in accordance with the rule base created using fuzzy mamdani logic approach. That servo motors can move from angle 0˚ to angle 90˚, which means to move close when the water sensor exposed to water (rain) and LDR sensor when not exposed to light (night), and servo motors can move from corner 90˚ to corner 0 ˚ which means moving open when the dry water sensor (Heat) and the LDR sensor are exposed to light (Daylight).
Prediksi Harga Saham Menggunakan Generalize Fuzzy Inference System (GENFIS3) Sunarsan Sitohang; Very Karnadi
Prosiding Vol 3 (2020): SNISTEK
Publisher : LPPM Universitas Putera Batam

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Abstract

The stock market has been very hard hit during the Covid 19 pandemic, many stock prices have plummeted which is influenced by negative sentiment in the form of uncertainty about when this Covid will end. On the other hand, this situation is a very big opportunity to invest because it buys cheap stock prices. Prediction is an instrument that can assist in making decisions about buying and selling shares. We can process daily time series data of stock prices as a reference in estimating the ups and downs of stock prices. In this study, the data used are daily data on the highest stock pricesduring the Covid-19 period. This data pattern formation is assumed with six days as input and the seventh day as the expected target. The data pattern that is formed is divided into two parts, namely the training data pattern and the test data pattern. The prediction method used is the Generalize Fuzzy Inference System (Genfis3). Genfis3 is a combination of Fuzzy C-Means and Adaptive Neural Fuzzy Inference (ANFIS). The training data will be clustered into 3 (low, medium and high) using FCM then the membership function of each cluster will be entered into ANFIS to form an inference engine. Based on the results of the research, Genfis 3 could recognize the pattern of training data well with a MAPE of 3.7%. Based on the test with the test data pattern, GENFIS 3 is able to predict the test data pattern very well with a MAPE of 2.24%.
Perancangan Aplikasi Harga Cerdas Berbasis Android Very Karnadi; Sunarsan Sitohang
Prosiding Vol 3 (2020): SNISTEK
Publisher : LPPM Universitas Putera Batam

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Abstract

The increasing number of customers at minimarkets creates problems in the convenience and effectiveness of the shopping process at the minimarket. The problem of information regarding the data of goods is often complained of by customers, such as there is often a difference in the price listed on the shelf with the price at the checkout and the lack of information makes customers busy looking for employees to ask about item details. The purpose of this study is to produce an android-based cashier application to help minimarket visitors to see information about the price of goods, the amount of groceries and the total shopping to be paid at the cashier. In addition, this application also includes information on expired items so that customers can find comfort in the forest. This application has a barcode scanning feature where each item is scanned and can view item details such as id, name, dimensions, quantity, color, price, and images of goods and expiration date. This mini market application is based on android which is integrated on a server via the internet and is supported by the MYSQL Database. By using a system like this, customer comfort and satisfaction when it is expected will increase and become more value from the minimarket side itself so that it helps cashiers in the process of managing sales data more effectively, efficiently and accurately so that customers get comfort in shopping activities and do not feel suspicious about the cheating of convenience stores.
Co-Authors Algifanri Maulana, Algifanri candra, joni eka Dian Lestari Siregar Raymond Riki Tantowi Sitohang, Sunarsan Suharyanto, Cosmas Eko Syaifullah Syaifullah