Article Per Year (5 Year)
p-Index From 2020 - 2025
0.702
P-Index
This Author published in this journals
All Journal International Journal of Advances in Applied Sciences Metode : Jurnal Teknik Industri
Rachmadewi, Ira Promasanti
Unknown Affiliation
Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mathematics Physics

Published : 4 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 4 Documents
Search

 1 
PENERAPAN METODE 5S+SAFETY DI BAGIAN PRODUKSI PABRIK GULA Dewi, Alifa Permata; Rachmadewi, Ira Promasanti; Qurtubi; Iryani, Devina Inayah
Metode : Jurnal Teknik Industri Vol. 10 No. 2 (2024): Jurnal Metode
Publisher : Universitas Muhammadiyah Sorong

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33506/mt.v10i2.3133

Abstract

PT. PQR is a sugar factory company whose facilities are distributed unevenly throughout the factory, making the workers in the production division not very clean and organized. The research aims to identify problems in the work environment and provide suggestions regarding the issues found. Therefore, a method is needed to determine the work environment, namely 5S+Safety, using tools like a 6S assessment form for each aspect. The results obtained were 2.808, which means that the activities needed to be carried out more, and only a tiny part of the 6S was carried out. For short, with a value of 1.75; for set in order, with a value of 2.4; for shine, with a value of 2.8; for standardize, with a value of 3.2; for sustain, with a value of 3.4; and finally safety, with a value of 3. This research was used to determine the cultural conditions and work environment that can be used as evaluation material for this company to create a clean, comfortable, and safe work environment.
SISTEM PENGAMBILAN KEPUTUSAN UNTUK EMPLOYEE AWARD MENGGUNAKAN ANALYTICAL NETWORK PROCESS Elfahmi, Azzati Sahirah; Rachmadewi, Ira Promasanti; Qurtubi; Mujafar, Iqbal Hilal
Metode : Jurnal Teknik Industri Vol. 10 No. 2 (2024): Jurnal Metode
Publisher : Universitas Muhammadiyah Sorong

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33506/mt.v10i2.3136

Abstract

PT FGH is a state-owned company that annually holds an Employee Award to appreciate and motivate the company's workers or employees. Currently, the company is still carrying out the process of selecting the best employees through analysis and manual calculations in the form of average values of the criteria set by the company, which causes this process to take a long time. There is no weighting of criteria and methods or application of a decision support system in selecting the best employees. This research aims to conduct a decision-making system by applying a ranking method that can simplify calculations in determining the best employees by considering factors and relationships between criteria. The method used is the Analytic Network Process method with the help of Super Decision Software. The results of this research from five alternative employees based on four criteria, namely personal aspect, community aspect, organizational aspect, and management aspect, obtained the best employee, namely employee 1, with an ideal weight value of 1.
Determining the retail sales strategies using association rule mining Yanti, Roaida; Maradjabessy, Prita Nurkhalisa; Qurtubi, Qurtubi; Rachmadewi, Ira Promasanti
International Journal of Advances in Applied Sciences Vol 13, No 3: September 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijaas.v13.i3.pp530-538

Abstract

Competitive competition in the retail industry requires retailers to maintain improvements and formulate accurate strategies to maintain their competitiveness. A small number of daily visitors visit retail store Y if compared to other retail stores, which leads to decreased store revenue due to the small number of products sold. Therefore, it is crucial to formulate the right business strategy to increase sales by utilizing customer shopping behavior derived from transaction data. The method used is association rule mining (ARM) with a frequent pattern growth (FP-growth) algorithm to determine consumer buying patterns. Data processing results generate five valid rules that meet the specified criteria for an association relationship. Utilization rules are acknowledged by determining retail sales strategies by recommending store layouts, shopping catalogs, and voucher discounts to attract customers.
Bibliometric study of association rule-market basket analysis Yanti, Roaida; Elquthb, Jundi Nourfateha; Rachmadewi, Ira Promasanti; Qurtubi, Qurtubi
International Journal of Advances in Applied Sciences Vol 13, No 2: June 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijaas.v13.i2.pp282-290

Abstract

Association rule-market basket analysis (AR-MBA) is a data mining technique for finding distinguished relationship patterns from a collection of items. The application of AR-MBA is also increasingly widespread, starting from retail and hotels to hospitals. So, bibliometrics related to AR-MBA needs to be done to reveal what research opportunities can be later carried out by reviewing and analyzing publications about AR-MBA. 91 bibliographies in 1 decade from 2012-2022 were collected using Harzing's Publish or Perish (PoP). VOSviewer is also employed to map authorship and publication topic trends. This paper is innovative because it identifies trends and future research directions in data mining, specifically in association with AR-MBA. The findings show publication productivity, top authors, types of publications, annual topic trends within a decade, term distribution, most cited and most influential articles, and research gaps that can be opportunities for further research.
Co-Authors Dewi, Alifa Permata Elfahmi, Azzati Sahirah Elquthb, Jundi Nourfateha Iryani, Devina Inayah Maradjabessy, Prita Nurkhalisa Mujafar, Iqbal Hilal Qurtubi Qurtubi Qurtubi, Qurtubi Yanti, Roaida