Halal Supply Chain Management requires an assurance that the entire process of procurement, distribution, handling, and processing materials, spare parts, livestock, work-in-process, or finished inventory to be well documented and performed fit to the Halal and Toyyib. Blockchain technology is one alternative solution that can improve Halal Supply Chain as it can integrate technology for information exchange during the tracking and tracing process in operating and monitoring performance. This technology could improve trust, transparency, and information disclosure between supply chain participants since it could act as a distributed ledger and entitle all transactions to be completely open, yet confidential, immutable, and secured. This study uses a Blockchain Network with three channels and uses raft consensus algorithm in designing web interfaces and testing their capabilities. From the web interface, there were no failures in the validity test during the invoke test and the query test. In addition, the web interface was also successfully tested to thwart the formation of a block in case of data input errors from the user. The server can also do the process as a provider of information and validator for the web interface. From the results of simulations conducted on the Blockchain Network that was made, Blockchain’s transaction speed is fast and all the transaction is successfully transferred to other peers. Thus, Permissioned Blockchain is useful for Halal Supply Chain not just because it can secure transactions from some of the halal issues, but the transaction speed and rate to transfer data are very effective.

The use of ride-hailing services as a solution to current transportation problems is currently attracting much attention. Their benefits and convenience mean many people use them in their everyday lives and discuss them in the social media. As a result, ride-hailing service providers utilize social media to capture customers' opinions and to market their services. If these opinions and comments are analyzed, service providers can obtain feedback to evaluate their services in order to achieve customer satisfaction. This study combines the text mining approach, in the form of aspect-based sentiment analysis to identify topics in customer opinions and their sentiments, with scoring of ride-hailing service providers in general, and more specifically based on the topics and sentiments. The study analyzes customers' opinions on Twitter of three ride-hailing service providers. Text data were classified based on six topics derived from the topic modeling process, along with the sentiments expressed on them. Scoring of the three ride-hailing service providers was based on the number of positive and negative comments in relation to each topic, as well as overall comments. The results of the study can be used as input to evaluate and improve the service in Indonesia, thus the customer satisfaction and loyalty can be maintained and improved.

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