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Journal : Computer

PERANCANGAN SISTEM INFORMASI OPERASIONAL PENJUALAN TOKO SUNFLORIST Victor; Darmansah
Computer Science and Industrial Engineering Vol 11 No 1 (2024): Comasie
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/comasiejournal.v11i1.8981

Abstract

ABSTRACT Sun Florist is a business engaged in the sale of flowers. In managing its business operations, Sun Florist still faces challenges such as recording sales transactions, marketing and promoting products, and knowing sales turnover reports. In managing data such as product data, ordering data, and transactions, it is still done manually, recorded on paper. Additionally, document storage media such as purchase orders, invoices, and delivery orders are also recorded on paper and stored in folders, thus the encountered difficulties in tracing the data recording process flow due to lack of integration and requiring large storage space, and consumers needing relatively long time or having difficulty obtaining information about the required products. From these issues, this research produces a web-based operational sales information system to assist the company in business efficiency and effectiveness. The research methodology used includes interview, observation, and literature study, while the system development methodology utilizes the Rapid Application Development (RAD) method and the Unified Modeling Language (UML) as a system depiction tool, with PHP as the programming language and MySQL as the database.
SISTEM INFORMASI ABSENSI MENGGUNAKAN TEKNOLOGI RFID DI CV MULTI KARYA MITRA BERBASIS WEB ROPIKA AYU YOLANDA; Darmansah
Computer Science and Industrial Engineering Vol 11 No 1 (2024): Comasie
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/comasiejournal.v11i1.9035

Abstract

In previous research that the author conducted on practical work implementation, the author created a system that can carry out attendance using Radio-Frequency Identification (RFID) which will read each RFID Identification (ID) or Unique Identifier (UID) owned by each employee. The UID has previously been stored in the program so that it can be detected when it is registered. However, this system has a few shortcomings, namely that it has not been integrated with each other between the main office and branch offices, so the existing systems still stand alone. Apart from that, the monthly absenteeism recapitulation process is also not optimal because it cannot automatically calculate the number of attendances for each employee. Given the problems above, the author developed a system that had previously been created by integrating the two attendance devices with a Web-based database system so that the attendance data for each employee would be directly stored in the database. This data will later be used to facilitate monthly recapitulation for each employee. By integrating the device with a database, the storage carried is not easily lost, so it can be used at another time
ANALISIS POLA PENJUALAN PRODUK PENJUALAN PRODUK AKSESORIS INTERIOR PADA PT SRI INDAH LESTARI MENGGUNAKAN ALGORITMA APRIORI zheng, Agustiawan; Darmansah
Computer Science and Industrial Engineering Vol 13 No 2 (2025): Comasie Vol 13 No 2
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/comasiejournal.v13i2.10339

Abstract

Sri Indah Lestari is a company engaged in the sales of interior accessories and architectural hardware. The company faces challenges in understanding consumer purchasing patterns and lacks accurate data to design effective promotional strategies. This study aims to apply the Apriori algorithm to analyze transaction data and identify frequent itemsets that can be used to develop targeted promotions. The research uses a descriptive quantitative method with a data mining approach. Sales transaction data from September to December 2024 were processed using Tanagra software. The analysis applied a minimum support value of 30% to identify product combinations frequently purchased together. The results show that Cylinder Dekkson Cyl, Door Closer Dekkson, and Hinge Dekkson are the most frequently purchased items. Several strong association rules were also identified based on support and confidence values. These findings can help the company design more effective product bundles and improve promotional strategies. The Apriori algorithm has proven to be a useful tool in generating data-driven insights for business decision-making at PT. Sri Indah Lestari. Keywords: Data Mining, Apriori Algorithm, Purchase Pattern, Promotion Strategy, Tanagra