The Role of Technopreneur in the Commercialization of Electric Motor Konverter kit Technology (Case Study: PT. EKM)

Most of the technology from universities (PT) related to technological innovation often fails to enter the market. This problem then becomes the basis and object of improvement in technology-based entrepreneurial practices (technopreneurs). Learning is carried out through Independence Learning Campus Independence (MBKM) which converts courses according to training subjects in collaboration with PUI UNS and BPPT. This practice is a model of participatory and collaborative learning, in which students are directly involved in solving existing case studies and act as perpetrators of technology commercialization and become technopreneurs. Students are initially given training materials in accordance with the curriculum and direct learning from existing tenants. As a result, through this learning process, students can design business process proposals that exist in tenants. The success of this learning method was assessed based on technopreneur analysis from students in answering problems faced by tenants based on aspects of product technology innovation, product development, business development, and its implementation at BMC. One of the tenants who is the object of the case study in this study is the start-up PT. EKM who have problems with the commercialization of technology in the case of konverter kit products

An Optimization Model for Electric Motorcycle Battery Swapping Station in Indonesia: A Case Study

Battery Electric Vehicle (BEV) has become a new technological innovation that effectively accelerates electrification due to their short charging and swapping processes. On the other hand, developing charging infrastructure, such as charging stations, still needs to be improved in Indonesia. The absence of government policies regulating charging station design has led each electric motorcycle company to innovate with their own standards. This research aims to implement a proposed Battery Swap Station (BSS) model to minimize swapping costs by optimizing the charging schedule for each exchanged battery based on a case study of one electric motorcycle service provider in Solo. Three factors are considered in searching for the objective function: the number of batteries taken from the stock during daily operations, battery degradation resulting from high charging scheme usage, and the electricity cost used at the station. Genetic Algorithms are proposed to determine the optimal charging scheduling, resulting in the minimum objective function. A series of battery swapping demand case studies are simulated to assess the feasibility of the proposed model, which can serve as a policy reference for the government and companies