Article Per Year (5 Year)
p-Index From 2021 - 2026
0.444
P-Index
This Author published in this journals
All Journal Sebatik Informatika Wicida
Andi Yusika Rangan
Teknik Informatika, STMIK Widya Cipta Dharma
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
RANCANG BANGUN SISTEM KEMANAN RUMAH DENGAN MENGGUNAKAN MODULE NODEMCU BERBASIS IOT (INTERNET OF THINGS) Salmon Salmon; Andi Yusika Rangan; Bagus Ari Ramadhan
Jurnal Informatika Wicida Vol 12 No 2 (2022): Juli 2022
Publisher : STMIK Widya Cipta Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (500.816 KB) | DOI: 10.46984/inf-wcd.1956

Abstract

Penelitian dilakukan untuk dapat membuat sebuah Rancang Bangun Sistem Kemanan Rumah Dengan Menggunakan Module Nodemcu Berbasis IoT (Internet Of Things) yang nanti nya jika penelitian ini berhasil bisa membantu pemilik rumah untuk mengawasi rumah mereka jika rumah tersebut dalam keadaan kosong. Penelitian ini dilakukan sebuah Perumahan Talang Sari Regency yang beralamat di Tanah Merah Samarinda Utara. metode pengumpulan data yang digunakan yaitu wawancara yang mengajukan pertanyaan-pertanyaan yang berkaitan dengan pemillik rumah. Dengan cara observasi, yaitu mengadakan pengamatan secara langsung rumah yang bersangkutan. Adapun hasil akhir dari penelitian ini yakni berupa Rancang Bangun Sistem Kemanan Rumah Dengan Menggunakan Module Nodemcu Berbasis IoT (Internet Of Things) yang dapat membantu pemilik rumah untuk menginggalkan rumahnya dengan aman.
Cigarette Sales Forecasting at Bali Jaya Store Using the Single Method Exponential Smoothing I Ketut Andri Purna Wijaya; Andi Yusika Rangan; Muhammad Ibnu Saad
Sebatik Vol. 30 No. 1 (2026): June 2026
Publisher : STMIK Widya Cipta Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46984/sebatik.v30i1.2805

Abstract

This study aims to forecast cigarette sales at Toko Bali Jaya using the Single Exponential Smoothing method as a quantitative approach to support more effective inventory management. The problems faced are the unstructured sales recording process and the manual determination of stock levels, which leads to inaccuracy in inventory control and potentially leads to overstocking or understocking. The Single Exponential Smoothing method was chosen because it is known to be effective in forecasting time series with fluctuating data patterns and no significant trends. The data used are cigarette sales data for 12 months which are processed to produce forecast values for the following period. The accuracy evaluation process is carried out using the Mean Absolute Percentage Error (MAPE) as an indicator of the level of forecast error. The results show that the best smoothing constant value is obtained at α = 0.3 with a MAPE value of 5.93%. This value indicates a low error rate, so the method used is able to produce forecasts that are close to the actual data. Thus, this method can be used as a basis for decision-making related to cigarette inventory management in a more systematic and measurable manner.
Co-Authors Bagus Ari Ramadhan I Ketut Andri Purna Wijaya Muhammad Ibnu Saad Salmon Salmon