Article Per Year (5 Year)
p-Index From 2020 - 2025
0.61
P-Index
This Author published in this journals
All Journal Jurtik STMIK Bandung JURTIK
Efrizal Fikri Yusmansyah
STMIK Bandung
Computer Science & IT Decision Sciences, Operations Research & Management Education Engineering Library & Information Science

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search

 1 
PROTOTYPE ALAT DETEKSI KEBOCORAN GAS LPG MENGGUNAKAN NODEMCU ESP8266 Indra Maulana Yusup Kusumah; Dede Suarna Ramadhani; Efrizal Fikri Yusmansyah
JURTIK:Jurnal Penelitian dan Pengembangan Teknologi Informasi dan Komunikasi Vol 11 No 2 (2022): JURTIK: Jurnal Teknologi Informasi dan Komunikasi
Publisher : LPPM STMIK BANDUNG

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1031.684 KB) | DOI: 10.58761/jurtikstmikbandung.v12i2.172

Abstract

Limited natural resources make humans use gas fuel. However, this gaseous fuel has a negative effect, namelyfrequent fires caused by gas explosions. In general, fires often occur in people's homes due to LPG gas explosions that cannot be anticipatedproperly.Therefore, to anticipate this, we need a tool that can detect gas leaks, so that explosions caused by gas leaks can be anticipated immediately so that the fire does not spread. The gas leak detector that will be made can detect gas leaks and provide information in the event ofa gas leak.The gas leak detector uses the MQ 2 sensor and the ESP8266 Wifi Module, LCD and buzzer, fan and fire sensor as notifications, capable of detecting gas leaks and providing information to the owner so thatfires can be anticipated as early as possible. The information generated from this tool is in the form of alarm sounds and messages sent via telegram that are sent
MENENTUKAN PURCHASE ORDER DENGAN METODE WEIGHTED MOVING AVERAGE BERBASIS WEB Dayanni Vera Versanica; Efrizal Fikri Yusmansyah
JURTIK:Jurnal Penelitian dan Pengembangan Teknologi Informasi dan Komunikasi Vol 12 No 1 (2023): JURTIK: Jurnal Teknologi Informasi dan Komunikasi
Publisher : LPPM STMIK BANDUNG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58761/jurtikstmikbandung.v12i1.180

Abstract

Gilang Mandiri Tasik is a company that sells various kinds of products such as basic necessities, biscuits, snacks and others. The problem that is often faced in the inventory management process is the risk of overstock. So we need a system to predict stock in the future period by referring to data from the previous period. This study uses the Weighted Moving Average method. The Weighted Moving Average method is a moving average method that is widely used to determine the trend of a time series. In testing the system, the author examines the data collected, namely transaction data on CV. Gilang Mandiri Tasik from November 2021 to April 2022. Based on the results of the analysis, the data for the last 6 months (sales transaction period) under the name of Resto Cooking Oil product, was analyzed using a 3-month moving period and the number of periods predicted for the next 2 months. Processed according to the WMA formula produces: MSE (Mean Squared Error) = 20.136.574.07, RMSE (Root Mean Squared Error) = 4.487.38, MAE (Mean Absolute Error) = 2.861.11, MAPE (Mean Absolute Percentage Error) = 38, 33%. Then the prediction results are known to meet the stock for the next 2 months (May 2022 = 6,083 Stock) and (June 2022 = 6,708 Stock).
Menentukan Purchase Order Dengan Metode Weighted Moving Average Berbasis Web (Studi Kasus: CV. Gilang Mandiri Tasik) Dayanni Vera Versanika; Efrizal Fikri Yusmansyah; Mira Novianti
Jurnal Teknologi Informasi dan Komunikasi Vol. 12 No. 1 (2023): JURTIK : Jurnal Teknologi Informasi dan Komunikasi
Publisher : LPPM STMIK Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58761/jurtikstmikbandung.v12i1.1927

Abstract

CV. Gilang Mandiri Tasik adalah salah satu perusahaan yang menjual berbagai macam produk seperti sembako, biscuit, snack dan masih banyak lagi yang lainnya. Permasalahan yang sering dihadapi dalam proses manajeman persediaan adalah resiko terjadinya overstock. Maka diperlukan sistem untuk memprediksi stok diperiode yang akan datang dengan acuan data dari periode sebelumnya. Penelitian ini menggunakan metode Weighted Moving Average. Metode Weighted Moving Average merupakan Metode rata-rata bergerak yang banyak digunakan untuk menentukan trend dari suatu deret waktu. Dalam uji coba sistem penulis meneliti data yang dikumpulkan yaitu data transaksi pada CV. Gilang Mandiri Tasik dari bulan ke November 2021 sampai April 2022. Sesuai yang di analisis, data 6 bulan kebelakang (periode transaksi penjualan) dengan nama jenis produk Minyak Goreng Resto, dianalisis menggunakan periode moving 3 bulan dan jumlah periode yang diramal 2 bulan kedepan. Diperoses dengan sesuai rumus WMA menghasilkan : MSE (Mean Squared Error) = 20,136,574.07, RMSE (Root Mean Squared Error) = 4,487.38, MAE (Mean Absolute Error) = 2,861.11, MAPE (Mean Absolute Percentage Error) = 38.33%. Maka diketahui hasil prediksi untuk memenuhi stok 2 bulan kedepen (Mei 2022 = 6,083 Stok) dan (Juni 2022 = 6,708 Stok).
Co-Authors Dayanni Vera Versanica Dayanni Vera Versanika Dede Suarna Ramadhani Indra Maulana Yusup Kusumah Mira Novianti