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

Rancang Bangun Aplikasi e-GISH Pencarian Lokasi Hydrant di Kota Batam Sunarsan Sitohang; Rikson Pandapotan Tampubolon
Prosiding Vol 2 (2019): SNISTEK
Publisher : LPPM Universitas Putera Batam

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Abstract

Kota Batam merupakan kota industri dengan padat pemukiman dan penduduk yang berpotensi terkena bencana kebakaran. Berbagai fasilitas-fasilitas yang dibutuhkan dalam penanggulangan bencana kebakaran telah disediakan oleh pemerintah Kota Batam, salah satunya adalah hydrant. Hydrant adalah fasilitas yang disediakan pemerintah Kota Batam sebagai sumber air pada saat proses pemadaman api. Masalah yang dihadapi yaitu lokasi hydrant yang tidak terpetakan dengan baik dan sulit mencari letak posisinya secara akurat. Apalagi di Kota Batam sedang galaknya pembangunan infrakstruktur yang berujung pada adanya kemungkinan pemindahan letak hydrant. Tujuan dari penelitian ini adalah membuat rancang bangun aplikasi e-GISH sehingga memudahkan personil pemadam dalam pencarian lokasi hydrant. Selain itu aplikasi ini diharapkan dapat memberikan ruang untuk tata-kelola hydrant yang lebih baik. Teknik pengumpulan data dilakukan dengan wawancara dan observasi lansung kelapangan. Wawancara dilakukan dengan tujuan mendapatkan kebutuhan-kebutuhan pihak pemadam untuk dibuat pada aplikasi. Observasi langsung dilakukan untuk mencari koordinat latitude dan longitude hydrant diseluruh Kota Batam dan dimasukkan kedalam database aplikasi. Aplikasi e-GISH dibangun berbasis web dan memanfaatkan layanan google map. Layanan map didapat dari mapcoordinates.net. Untuk database aplikasi dibangun dengan MySql. Rancang bangun aplikasi e-GISH diharapkan sebagai awal mula untuk menyediakan sistem informasi hydrant dan tata kelola hydrant yang lebih baik. e-GISH akan sangat membantu personil pemadam dalam pencarian lokasi hydrant terdekat dengan lokasi kebakaran.
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.