Construction is hard work which involves many elements, from the use of heavy equipment to the involvement of large amounts of materials. This causes the world of construction to have a higher risk of work accidents compared to other types of work. For this reason, all parties must understand the importance of implementing Occupational Safety and Health (K3) in construction projects. Socialization of the application of K3 was carried out including the bridge project on Jalan Bilal, Medan. The service will be held on January 16 2023 at 11.00 – 13.00 WIB with the lecture and discussion method. In the early stages, the speaker gave a lecture by introducing the types of personal protective equipment and the importance of applying K3. Then a discussion was held, where the presenter gave the opportunity to the participants to ask questions about K3. In-depth knowledge of OSH and awareness of workers to implement OSH is the result to be achieved in this service

Customary forest and state forest are still a dichotomy contested by indigenous peoples and the state. The forests around Singkarak Lake, West Sumatra are managed in different ways which are related to the capacity of indigenous communities around the forest. The indigenous Minangkabau people of Nagari Malalo Tigo Jurai have local wisdom for the management of customary forests, but the recognition of their customary forest is beginning to be disturbed by the new recognition of this forest as state forest. This study examines the communal efforts carried out by the indigenous peoples in recognizing the customary forest management rights in Nagari Malalo Tigo Jurai customary forest. This study using a qualitative approach with in-depth interview techniques, observation and literature study. This research shows that there have some local wisdom practiced for forest management in the customary forest area for many years. Lately, there is a strong communal movement of the indigenous peoples for recognition of their customary forest areas.

Land use change is an important issue in the regional planning and development. This research uses a remote sensing approach of Landsat images and Geographic Information System (GIS) analysis to detect land use change in Solok Regency by time series of 2006, 2011, and 2016. Land use changes were interpreted through Landsat TM satellite images of 2006 and 2011 and Landsat 8 OLI 2016. GIS is used in analysing land use classifications. Land use classification found in Solok Regency is classified into 9 classes which dominated by primary and secondary forests followed by rice fields, mixed gardens, crop field, water bodies, settlement, shrubs and plantations. Based on the results of research, there is a continue increasing of agricultural and settlement expansion. There also expansion of mixed garden against secondary forests, and then there is a significant expansion of settlement land against the rice field. These results indicate that there has been a change of land conversion from non-cultivation to cultivation, and the development of residential areas.

There has been a large increase in understanding the relationship between aboveground forest biomass and climate change in recent years. Aboveground Biomass (AGB) estimation is very important in understanding the contribution of forests to the regional carbon cycle. AGB in tropical forest areas is often carried out by utilizing the transformation of the vegetation index because the value obtained is a combination of several channels in the image to highlight the appearance of vegetation. Difficulties in field surveys due to tropical forest field conditions transform the vegetation index calculation is an effective alternative approach to estimate biomass. The purpose of this study is to estimate biomass by utilizing remote sensing data to estimate carbon stock. The study was conducted on tropical forests in Solok Regency, West Sumatra Province. The method used is calculating the surface biomass content with the index value of each transformation of the vegetation index type. The results of this study show the level of accuracy and total carbon content of each transformation of the vegetation index type (NDVI, TNDVI, RVI, TRVI). NDVI is the best accuracy for estimating biomass density with R2 of 60%. The surface biomass estimates in Solok Regency as 115.6 tons/ha. The amount of stored surface biomass varies, depending on the level of greenness and the age of the vegetation.