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The positive phenomenon of Indian Ocean Dipole (IOD +) in 2019 caused an extreme dry season in parts of Indonesia, including in the province of South Sumatera. This caused massive fires on peatlands in South Sumatera. The Government of Indonesia through the Agency for Peat Restoration (BRG) has deployed an integrated equipment system to measure in situ several fire control parameters on several peatlands, including in South Sumatera. The aim is to predict and mitigate fire incidents on peatlands. One of the measured parameters is soil moisture. This study has examined the impact of the extreme dry season on the rate of decline in soil moisture at four BRG measurement stations, namely: Cinta jaya-1, Cinta Jaya-2, Padang Sugihan-3, and Karang Agung. The rate of decrease in soil moisture (% per day) obtained were: 0.06, 0.31, 0.38, 0.47 respectively for the stations Cinta jaya-1, Cinta Jaya-2, Padang Sugihan-3, and Karang Agung.

In recent years the topic of sustainable supply chain has received dramatic attention and become an important research area. These days there are some new challenges which companies should consider them such as climate changes, the negative effect of downturn, face the growing attention of people to ecology. In order to evaluate the sustainability performance measurement system becomes an important tool to assess the sustainability on environmental, social and economy aspect of supply chain management. For making the business case for sustainability issues in supply chain, it is critical to call for effective performance measurement system and metrics development.

The purpose of this article is to describe the integration model of social and physical science into digital-based learning. Indonesia’s education system currently uses digital technology in the education process so that the absorption and teaching methods will be more easily understood. The use of Econophysical modeling in digital learning can be developed in the form of recording all transaction networks carried out by consumers using physics modeling in applied physics usage. Then every track record of transactions with physics modeling will be linked to Hardware, Software, and Contents Development. So that the data process will be formed very quickly from every existing transaction. Then all existing data will be collected in big data analysis which then becomes digital-based econophysical modeling. Its application in education by teachers and lecturers is administratively contained in the lesson plan and syllabus while in the learning process linked with Hardware, Software, Contents Development for the formation of modeling in learning econophysical courses.