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All Journal Panrita Abdi - Jurnal Pengabdian pada Masyarakat Jurnal Mantik Penusa IJISTECH (International Journal Of Information System & Technology) IJISTECH Information System Journal (INFOS) Jurnal Abdi Masyarakat Indonesia
Erni Seniwati
Universitas AMIKOM Yogyakarta
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Public Health Social Sciences Other

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Journal : IJISTECH

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Alfa Value Scalability on Single and Double Exponential Smoothing Comparatives Yuli Astuti; Irma Rofni Wulandari; Muhammad Noor Arridho; Erni Seniwati; Dina Maulina
IJISTECH (International Journal of Information System and Technology) Vol 5, No 4 (2021): December
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v5i4.165

Abstract

To find out sales forecasts in the future, it is not only based on estimates but must be calculated carefully based on the experience of previous sales transactions. This observation can be made based on sales data a few months ago to be used as actual data to get predictive value in the future period. Prediction or forecasting is done with two methods Single Exponential Smoothing (SES) and Double Exponential Smoothing (DES), from these two methods, will be sought the most suitable alpha value to get the percentage error value. There are two error values : Mean Absolute Deviation (MAD) and Mean Absolute Percentage Error (MAPE). By using sales data from February to December 2019, the predicted value of 430 orders was obtained in the SES method and resulted in a sales prediction of 402 orders in the DES method with the smallest error accuracy value of 26.88% in the SES method and an accuracy value of 22.71%. in the DES method with the acquisition of scalability of the right alpha value for both, namely 0.3 and the beta value of 0.3 in the DES method
Comparison of Algorithms on Machine Learning For Spam Email Classification Hery Iswanto; Erni Seniwati; Yuli Astuti; Dina Maulina
IJISTECH (International Journal of Information System and Technology) Vol 5, No 4 (2021): December
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v5i4.164

Abstract

The rapid development of email use and the convenience provided make email as the most frequently used means of communication. Along with its development, many parties are abusing the use of email as a means of advertising promotion, phishing and sending other unimportant emails. This information is called spam email. One of the efforts in overcoming the problem of spam emails is by filtering techniques based on the content of the email. In the first study related to the classification of spam emails, the Naïve Bayes method is the most commonly used method. Therefore, in this study researchers will add Random Forest and K-Nearest Neighbor (KNN) methods to make comparisons in order to find which methods have better accuracy in classifying spam emails. Based on the results of the trial, the application of Naïve bayes classification algorithm in the classification of spam emails resulted in accuracy of 83.5%, Random Forest 83.5% and KNN 82.75%
Implementation of The Economic Order Quantity Method For Inventory of Goods Muhammad Iqbal Kusrachmansyah; Erni Seniwati; Acihmah Sidauruk
IJISTECH (International Journal of Information System and Technology) Vol 6, No 1 (2022): June
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v6i1.217

Abstract

The inventory system that is being carried out at this time is by manual method where the inventory is still made using Microsoft Office in the form of Microsoft Word and Microsoft Excel in which data is written about data on the presentation of basic food items sold, expenditure of goods and orders. However, the presentation of goods is less efficient and effective. By looking at this situation and condition, the author makes a system "implementation of the economic order quantity method for inventory" where this system can help shop owners and employees who work at the shop make their work easier and also help streamline and be effective in recording the goods sold , issuing goods, and also ordering goods. In this system the author uses the PHP programming language with a MySQL database, where later the data will be entered and stored in the database and connected to PHP programming so that inventory control is easier, more efficient, and effective.
Co-Authors Achmad Lukman Acihmah Sidauruk Adhisti Eka Putri Andi Sutra Kusumaningrum Banu Santoso Barka Satya Bayu Setiaji Diana Koesuma Dina Maulina Hastari Utama Hery Iswanto Irma Rofni Wulandari La Ode Syafaat Hidayat M.Iqbal Abdullah Sukri Muhammad Iqbal Kusrachmansyah Muhammad Noor Arridho Nila Feby Puspitasari Yuli Astuti Yuli Astuti