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DETERMINATION OF DIGITAL MARKETING STRATEGY WITH APPLICATION OF QUANTITATIVE STRATEGIC PLANNING MATRIX (QSPM) IN ENTERPRISE RESOURCE PLANNING (ERP) SYSTEM COMPANY’S SNELL X Muhammad Isa Lufti; Rizaldi Mu'min; Jakfat Haekal
Jurnal PASTI (Penelitian dan Aplikasi Sistem dan Teknik Industri) Vol 16, No 1 (2022): Jurnal PASTI
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (254.237 KB) | DOI: 10.22441/pasti.2022.v16i1.003

Abstract

Marketing is one of the most important instruments in doing business, because marketing is the cornerstone of buying and selling transactions. Meanwhile, in the digital era, there have been several adjustments to marketing strategies according to market needs and behavior. Snell X is a company engaged in ERP system implementation services in companies. In developing its business, Snell X needs to do digital marketing. The method that is used on this research is the analysis of the SWOT (Strengths, Weaknesses, Opportunities and Threats), this analysis includes internal and external factors which then to be examined by numbers and ratings. The other tool that will be used is QSPM (Quantitative Strategic Planning Matrix) instruments which then examined based on what is found on SWOT matrix. Through these instruments, Snell X can determine their digital marketing strategies precisely and accurately. This research helps companies to develop digital marketing that will be carried out to build a brand image for customers. This research shows the significance of product and service development in Snell X’s advertising is rather important compared to market development.
The Implementation of Cloud Enterprise Resource Planning by Snell X in Manufacturing Process Strategy: A Case Study of Skincare’s Company Rizaldi Mu’min; Jakfat Haekal; Muhammad Isa Lutfi; Muhammad Kholil; Khairul Nizam Mohd Yunus
Jurnal PASTI (Penelitian dan Aplikasi Sistem dan Teknik Industri) Vol 17, No 1 (2023): Jurnal PASTI
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/pasti.2023.v17i1.002

Abstract

In the midst of the growing awareness of the Indonesian people to use skincare products from various manufacturers, Company X is one of the SMEs involved in it. Skincare products are sensitive products that can have a direct impact on the wearer. The risk in the skincare business is that Company X must ensure that all materials and production processes are carried out safely and according to procedures. Meanwhile, Company X must also pay attention to maximizing existing resources, including time efficiency. Through this problem, Company X decided to implement an ERP system in its manufacturing process. The purpose of this research is to find out how the process takes place on the production side if it is implemented into the ERP system, as well as observe the benefits and challenges that will be faced by Company X. The method used in this research is qualitative with systematic review which will be described descriptively by conducting direct observations. As a result, the manufacturing process runs normally with the use of several new terms in the system, besides that several advantages are found such as cutting time and costs, however, regarding the limitation, this research only mentions time efficiency advantage. Due to the new system, the adaptation of employees and the high cost of maintaining the system will be the challenges for Company X.
Structured Defect Data-Based K-Means Clustering Analysis and Framework for Quality Control (QC) Prioritization in Manufacturing Haekal, Jakfat; Mu’min, Rizaldi
Jurnal PASTI (Penelitian dan Aplikasi Sistem dan Teknik Industri) Vol 18, No 3 (2024): Jurnal PASTI
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/pasti.2024.v18i3.011

Abstract

Quality Control (QC) sangat penting dalam manufaktur untuk memastikan kualitas produk dan meminimalisir cacat produk. Namun, meningkatnya kompleksitas produk dan proses manufaktur telah membuat identifikasi dan prioritas cacat untuk QC menjadi lebih menantang, sementara sebagian besar studi hanya berfokus pada inspeksi visual. Oleh karena itu, studi ini mengusulkan analisis berbasis data cacat terstruktur dan kerangka kerja untuk menemukan prioritas dalam proses QC. Kerangka kerja ini menggunakan pengelompokan K-Means untuk mengelompokkan cacat berdasarkan karakteristiknya, seperti jenis, lokasi, dan tingkat keparahan yang memengaruhi tingkat biaya perbaikan. Untuk memvalidasi model, Davis-Bouldin Index dan Silhouette Score digunakan untuk mengukur kualitas model. Eksplorasi data menunjukkan bahwa setiap fitur memiliki hubungan serta dampak terhadap biaya perbaikan di mana tingkat keparahan yang lebih besar sejalan dengan biaya perbaikan yang lebih tinggi. Penemuan menunjukkan bahwa cluster 0 adalah yang harus diprioritaskan karena memiliki biaya perbaikan tertinggi di antara yang lain. Hasil penelitian menunjukkan bahwa kerangka kerja tersebut dapat secara efektif mengidentifikasi dan memprioritaskan cacat untuk QC, yang berpotensi mengarah pada peningkatan kualitas produk dan pengurangan biaya manufaktur.