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Journal : BULLET : Jurnal Multidisiplin Ilmu

Pengembangan Strategi Perusahaan Percetakan Dengan Pendekatan Bisnis Model Canvas Dalam Menghadapi Era Digital Rahman, Arif; Perdana, Surya; Widjajanto, Tulus
BULLET : Jurnal Multidisiplin Ilmu Vol. 3 No. 2 (2024): BULLET : Jurnal Multidisiplin Ilmu
Publisher : CV. Multi Kreasi Media

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Abstract

PT. XYZ is a printing company in Jakarta. The products produced by this company are newspapers, books, magazines, tabloids, brochures and also the Koran. In running its business, companies need the right strategy to be able to compete with competitors. The aim of this research is to develop a strategy for printing companies so they can survive in the digital era. The method used in this research is the Business Model Canvas approach. In this research, data was obtained from interviews with employees who work at the company PT. XYZ. The data obtained is then made into a business model on one canvas sheet which has nine key elements to analyze the company's business position. From the Business Model Canvas analysis, the printing business competition can be categorized as tight competition. Printing companies must improve the quality of their products and services to compete with other companies. Companies must also improve cost efficiency and enhance technological capabilities to increase their competitiveness. Companies must also improve their marketing capabilities to attract new customers and retain existing customers.
PKM Strategi Pemilihan Supplier Dengan Metode ANP Dan TOPSIS Pada PT. Delta Graha Makmur (Grha Delta) Wibisono, Deny; Rahman, Arif; Widjajanto, Tulus
BULLET : Jurnal Multidisiplin Ilmu Vol. 4 No. 4 (2025): BULLET : Jurnal Multidisiplin Ilmu (INPRESS)
Publisher : CV. Multi Kreasi Media

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Abstract

Delta Graha Makmur faces challenges in selecting steel plate raw material suppliers due to a manual system that focuses solely on price, resulting in 30% delivery delays, inconsistent quality, unreliable supplier dependency, as well as increased costs and production disruptions. This study aims to develop an ANP-TOPSIS-based supplier selection system to evaluate structured criteria such as quality, timeliness, price, and reliability. The objectives include: (1) formulating recommendations for the best suppliers with TOPSIS scores >0.8, (2) reducing production delays by 40% within three months post-implementation, and (3) developing a training module for the procurement team. The research method is carried out in four stages over 12 weeks: ANP modeling through interviews, performance data collection from five suppliers, TOPSIS analysis and simulation, as well as system implementation and training. The expected outcomes are improved supplier selection efficiency and reduced negative impacts on production.