ANALISIS IMPLEMENTASI JUAL BELI SISTEM PRE ORDER MENURUT FATWA DSN NO 05/DSN-MUI/IV/2000 TENTANG JUAL BELI SALAM (Studi Kasus Pada Pengrajin Batik Asad Kertijayan Pekalongan)

This study aims to examine the suitability of the implementation of the pre–order buying and selling system (Salam) carried out by the entrepreneur or batik producer Asad Kertijayan Pekalongan based on Fatwa DSN NO 05/DSN-MUI/IV/2000 about “Salam” buying and selling system. It is a qualitative study with an observation and interview as a data collecting technique. The subject of this data was chosen by snowballing data. This system is customer orders batik from the Batik Asad Kertijayan Pekalongan. The buyer pays the full amount of money that has been determined as a sign of the contractin accordance with the goods ordered. Meanwhile, the seller will explain the specifications of the ordered goods, the type, the time and the place of delivery. About the implementation of pre – order buying and selling system (Salam) in Batik Asad Kertijayan Pekalonga, the provisions on payment, on goods, on delivery of goods and the provisions on the pillars and terms of sale and purchase of Salam in islam, based on Fatwa DSN NO 05/DSN-MUI/IV/2000, this system has been complied with the Fatwa. Keywords : Salam, buying and selling, the provisions of payment, the provisions of goods, the provisions of delivery.

Ethics and the Prospect of E-Commerce Platforms in Doing Business in Nigeria

Following the outbreak of the pandemic, more Nigerians became liberal towards accepting and engaging e-commerce platforms for their purchases. However, there is a surging scepticism about the ability of e-commerce platforms in Nigeria to meet the demands of consumers. Nigerians have accused e-commerce platforms of uncompetitive turnaround time, discrepancy between customer orders and deliveries and failure to and deliver on brand promise. This chapter explores the ethical remedy to the unethical concerns expressed by Nigerian consumers when engaging ecommerce platforms. The study purposively gathered selected data on customers’ feedback from Jumia Nigeria’s website between April 1st and July 31st 2020 when lockdown measures were enforced in Nigeria. The study found that consumers’ mistrust and complaints about e-commerce platforms can be attributed to the absence of transparency on the part of e-commerce platforms to effectively use communication in keeping their customers abreast of the status of their order. Based on the findings, it was recommended that effective communication channels should be deployed to keep customers abreast of circumstances resulting in the delay or cancelling of their orders.

Black Dawet App Android Based

Restaurants with large crowds may face queues and large orders. One of them is the Dawet Jembut Kecabut Restaurant which sells dawet ireng. This restaurant has not implemented technology in terms of queuing and customer orders so that there is not a maximum queue of buyers and sellers have to ask every order to the buyer. From the above problems, the Black Dawet App was made. Android based queue and order tracking application. The waterfall method is applied in building this application. This application uses the Flutter SDK which uses the Dart programming language as an android display and CodeIgniter for the backend and MySQL as database management. With this application you can maximize the order queue at the Dawet Jembut Kecabut Restaurant, because the buyer must have a queue number and enter the order when going to buy.

IMPLEMENTATION OF APRIORI ALGORITHM WITH CUSTOMER ORDER PATTERN ANALYSIS FOR DETERMINATION OF RAW MATERIAL INVENTORY

Ordering products from home-based trading businesses have not utilized data mining algorithms that can help analyze transaction data to optimize product order transactions and also manage inventory on raw materials from products by reducing a lot of leftover raw materials and products that are not purchased by customers. To avoid the occurrence of a lot of raw material leftovers from products that are not in demand and to find out which types of products are in demand by customers, then the apriori algorithm is needed. The purpose of this research is that the owner can carry out good and efficient management of the availability of raw materials from the product so that the raw materials can be processed into products, which must be adjusted to the number of products ordered by customers so that there is no accumulation of raw materials from fewer transactions. The results obtained from this research are if a customer orders product H, then he will order product L with a support value of 42% and 83% confidence, if a customer orders product L then he will order product G with a support value of 67% and a confidence of 90% -100%, and if a customer orders product H, he will order product G with a support value of 42% and 100% confidence. From the rules of this association, it can be concluded that this business owner can determine the management of raw materials by prioritizing the materials used to make products from L, H, and G so that the purchase and use of raw materials for these products are more manageable and efficient.

Supplier and Customer Relationships in Toyota Manufacturing USA: Proposal of Development of Advanced TPS for Global Production Strategy

Toyota Motor Corporation has developed a process to enhance the supplier and customer relationships through their Tier 1 shipping process. The Tier 1 shipping entity is the supplier to the customer producing the completed product. In their system, quality gates are inserted into the process to act as the gates from order through shipment to ensure the correct material is ordered and shipped on the proper dates to sustain Just-in-Time delivery. This paper describes the Toyota Manufacturing USA process to fulfill customer orders and build a successful business relationship.