Article Per Year (5 Year)
p-Index From 2020 - 2025
1.896
P-Index
This Author published in this journals
All Journal Indonesian Journal of Artificial Intelligence and Data Mining J-SAKTI (Jurnal Sains Komputer dan Informatika) JURTEKSI Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal JOURNAL OF SCIENCE AND SOCIAL RESEARCH Jutsi: Jurnal Teknologi dan Sistem Informasi Jurnal Teknisi J-SAKTI (Jurnal Sains Komputer dan Informatika) J-Com (Journal of Computer)
Sena, Maulana Dwi
Unknown Affiliation
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Social Sciences

Published : 12 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search
Journal : Indonesian Journal of Artificial Intelligence and Data Mining

 1 
Implementation of Apriori Algorithm in Determining the Layout of Items Putry, Yollanda; Andri Agus, Raja Tama; Sena, Maulana Dwi
Indonesian Journal of Artificial Intelligence and Data Mining Vol 8, No 1 (2025): March 2025
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/ijaidm.v8i1.31206

Abstract

Shopping at mini markets is now becoming popular as people's shopping orientation changes. This results in consumers preferring to shop in modern markets rather than to stalls or traditional shops. Because consumers want to shop comfortably and practically or in terms of finding goods in an easy way and knowing the location of the desired item. Risaga Jaya is a retail business that sells various needs such as staples, cosmetics, stationery, various snacks, During its operation, many goods are not in demand and there is a buildup of goods in the warehouse because there is no strategy for placing the position of goods that are more attractive to consumers. The purpose of this research is to create a strategy for placing goods to maximize sales using data mining with the apriori algorithm. By using the apriori algorithm, it can organize and organize the layout of an item by bringing related items closer together so that it can increase sales at the store based on consumer purchasing patterns, namely if consumers buy chitato then buy snack candy with a support given of 10% and a confidence given of 75%.
Single Moving Average Method Forecasting to Predict Skincare Sales Marhama, Siti; Sembiring, Muhammad Ardiansyah; Sena, Maulana Dwi
Indonesian Journal of Artificial Intelligence and Data Mining Vol 8, No 1 (2025): March 2025
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/ijaidm.v8i1.32028

Abstract

Nada Nadine Skincare Store is a business engaged in the sale of beauty skincare. Nada Nadine Skincare Store was established in 2023 and is located on Jalan Lingkungan IV Air Joman, Asahan Regency. The problem at Nada Nadine Skincare Store is that it has difficulty in estimating the level of demand for beauty skincare (Wardah) for inventory because it is still guessing and experience from the production department of Nada Nadine Skincare Store and there is no beauty skincare sales forecasting system that will make it easier for Nada Nadine Skincare Store to determine the amount of beauty skincare (Wardah) inventory. The purpose of this system is to be able to apply the single moving average method to the beauty skincare (Wardah) sales demand forecasting system at the Nada Nadine Skincare Store and to be able to design a website-based beauty skincare (Wardah) sales demand forecasting system at the Nada Nadine Skincare Store using the PHP programming language and MySql database. From the problem analysis, the author tries to predict the amount of beauty skincare demand using the Single Moving Average (SMA) method. The conclusion that can be drawn from research on the Single Moving Average (SMA) based skincare sales forecasting system forecasts the sales demand for beauty skincare (wardah) at the Nada Nadine Skincare Store so The system calculation results are the same as the manual calculation forecast July 2024 is 33,50, forecast August 2024 is 32,75, MAD value is 2,70, MSE value is 11,31 and MAPE value is 8,84%.
Food Stock Analysis with the Utilization of the Single Moving Average Method Febrianti, Intan; Hambali, Hambali; Sena, Maulana Dwi
Indonesian Journal of Artificial Intelligence and Data Mining Vol 8, No 2 (2025): July 2025
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/ijaidm.v8i2.36134

Abstract

A grocery store is a store that sells daily necessities. Nine basic ingredients or better known as basic necessities are the type of business that anyone needs. The community needs a grocery store that sells daily necessities at affordable prices and close to the neighborhood. Sahriul Grosir is a business engaged in the sale of rice where uncertain demand makes this business to determine the stock for the following month. This research aims to implement the single moving average method for rice stock forecasting to support proper decision making. By using historical sales data from January 2024 to January 2025 to forecast the next 6 months. Forecasting results for the next 6 months, from February 2025 to July 2025.  With a forecasting value obtained of 223, MAD value of 23.32, MSE value of 1203.20 and MAPE value of 9.43.
Co-Authors . Zulfan Andri Agus, Raja Tama Andriyan, Diki Dalimunthe, Ruri Ashari Dhana, Muhammad Bayu Al Febrianti, Intan Hambali Hambali Herman Saputra Marhama, Siti Muhammad Ardiansyah Sembiring Nirda Julianda Putri Rahmadani, Putri Putry, Yollanda Rahmadani, Nurul Risnawati Risnawati Risnawati Risnawati Sitorus, Eliya Azizi Sulistiawan, Defry Nazhira Wulan Dari, Wulan Yusda, Riki Andri