Introduction: According to data from the Central Bureau of Statistics (BPS), log production fluctuated every quarter of 2020. Log production experienced a decline in the second quarter from a total production of 14.58 million m3 in the first quarter to 13.87 million m3. Purpose: to apply the K-Means data mining technique which is classified as a potential log production based on wood species with high and low criteria. Method: The type of research to be used is quantitative research. Discussion result: based on data on production and types of logs from 2016 to 2020, the West Java Forestry Service, log production in each district/city area in West Java is not evenly distributed for products and types of logs processed, therefore with the application of the K-Means algorithm is expected to help the production potential and types of logs in the West Java region. Therefore, the West Java Forestry Service determines the grouping of logs based on wood species into 2 clusters, namely high and low. Conclusion: The data is calculated based on 2 clusters, namely clusters with low potential (C1) and clusters with high potential (C2). The Forest Management Unit (KPH) area with the highest log production potential (C2) is the North Bandung KPH.

This paper presents results and discussion regarding the addition of steel fibre in stone mastic asphalt (SMA) application. SMA is a gap-graded asphalt mixture that consists of a large proportion of coarse aggregate, a high percentage of asphalt binder and a substantial amount of filler that provides a durable surface course. However, SMA has its own problem which is asphalt binder drain-down due to the high asphalt binder content which leads to permanent deformation. There is a need to improve the performance of the HMA mix. Thus, the aim of this study is to utilize the steel fibre that has a high tensile strength to overcome the problem of SMA. Among the tests involve are marshall stability and flow, cantabro loss, resilient modulus and dynamic creep. From the properties and performance results of this study, the use of steel fibre improved the stability and stiffness of the mix in terms of dynamic creep and resilient modulus values. The addition of 0.3% steel fibre is the most optimum percentage to be used as a modifier in the SMA mixture. Therefore, it can be concluded that the addition of steel fibre in the SMA mixture significantly enhances the overall efficiency and performance.