This article describes the automatic transcription process of a gambang ensemble, a type of Balinese gamelan, from multitrack audio recordings. This project showcases the use of artificial intelligence techniques that have proven efficient in the literature, namely multi-layer perceptron classifiers trained on chroma analysis, and here adapted to repertoire that offers specific challenges due to its musical realities. After describing the musical formation and its musical context, we will describe the method used for data acquisition, the analysis process of aforesaid dataset and transcription, concluding with an evaluation of the process' efficiency and discussion on further developments of the algorithm.