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The technological advancement in learning has made it possible for students to study beyond space and time restrictions, known as online learning. Impacted by the pandemic for an extended period, most students have adapted to online learning and, even more, have realized the vast benefits of online learning despite all the minor disadvantages. As a result, worldwide institutions, including Indonesia, are now offering online degrees and courses. Previous studies have shown contradictory results of cost factor effects on online courses, from the least important to the most critical factor for student achievements. Therefore, deciding the online course rates has been a major concern for online course providers. This research aims to answer the fundamental question of designing costs for online learning by analyzing online course preferences and ensuring sustainability by proposing a framework for the E-learning Pricing Model Policy in Higher Education using literature studies and qualitative approaches. The results show four main phases: the preparation phase, which conducts market research to understand consumer demand and behavior; the implementation phase, which includes marketing expenses and tutor fees; evaluation phase, which includes the course content material and video production revisions for further implementation. In addition, the infrastructure phase as the Learning Management System's virtual space is added with the Cloud Expenses. However, as a limitation of this research, countless factors influence online course rates, and no exact number can determine those rates. Nevertheless, the course cost can be estimated by considering the factors that affect the overall cost and the number of learners who take the course. As a result, this framework acts as an essential foundation for institutions to determine sustainable online course rates.

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As a country that supports the development of renewable energy, Indonesia has policies to direct the use of biodiesel as fuel energy source. In 2020, the Government of Indonesia (GoI) implements mandate of biodiesel from palm oil, one of Indonesia’s best plantation products. The increase in the mandate up to B30 makes the national biodiesel plant’s capacity to operate up to 80% so that a new plant is needed to meet biodiesel for national and export demand. Taking North Sumatra province as the location of study, this research expects to determine the biodiesel plant’s location that will be built to meet the needs of petrodiesel fuel in the North Sumatra area to minimize transportation costs at each stage. Mathematical modelling is conducted to reach the objective. The model aims to determine the most appropriate location and size of the biodiesel plant to be made, by taking into account the distance between several two-transportation points, the availability of feedstocks, demand, and supply chain costs. Mixed-integer linear programming (MILP) is employed to simulate the model. Result suggests that two regions are suitable locations for establishing biodiesel factories to meet the needs of the people of North Sumatra, namely Langkat Regency and Serdang Bedagai Regency. The result can serve as recommendations for policymakers to minimize the biodiesel supply chain cost in North Sumatra.

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