- Volume 10, Number 1 (2023)
GREEN ENGINEERING IN CONCRETE: ECO-FRIENDLY MEASURES TO BOOST SPLIT TENSILE STRENGTH USING GROUNDNUT SHELL POWDER
Fauziyah Alwi Ramli
Concrete, being one of the most widely utilized building materials globally, faces challenges due to its contribution to greenhouse gas emissions during cement manufacture. To mitigate the environmental impact and improve concrete performance, researchers are exploring the incorporation of supplemental cementitious materials (SCMs). Groundnut shell powder (GSP), a byproduct of the groundnut industry, has emerged as a promising SCM, owing to its abundant availability and pozzolanic properties. Obtained from groundnut shells, GSP is rich in silica and can react with calcium hydroxide during cement hydration, forming new cementing compounds. Previous research suggests that GSP, when partially replacing cement in concrete,...
SHORELINE PROSPERITY: INVESTIGATING THE ECONOMIC VIABILITY OF BUBON PORT THROUGH A FEASIBILITY STUDY
Rina Darmawan Siregar
Indonesia, with its extensive maritime territory, holds significant potential for maritime activities, and shipping plays a crucial role in driving the nation's economy and societal interactions. To facilitate sea transportation effectively, ports hold a vital position, serving as essential facilities that link various regions. The success of a port is contingent on its effectiveness, efficiency, and adequacy of facilities. Given this importance, the physical development and associated costs of ports necessitate meticulous assessment through feasibility studies, which help identify viable projects and mitigate potential losses. In this context, the Port of Kuala Bubon in West Aceh is a relevant candidate...
ANALYZING AUDIO AESTHETICS: AN EMPIRICAL EXAMINATION OF MUSIC GENRE CLASSIFICATION USING MULTILAYER PERCEPTRON AND FEATURE EXTRACTION
Ahmad Yusril Abdul Gani
The exponential growth of music databases has led to the challenge of manual music categorization, making it difficult to search for specific music genres in vast collections. Digital music development, particularly in genre classification, has facilitated the study and retrieval of songs. Consequently, there is a need for a convenient and efficient genre classification method that optimizes the learning process and ensures accurate results. This study explores the comparison between two music genre classification approaches: one using the Multilayer Perceptron (MLP) model with Chroma Feature extraction, and the other with Mel Frequency Cepstral Coefficients (MFCC) extraction. The dataset utilized in...