Pusat Publikasi Ilmiah

Effi Latiffianti, Stefanus Eko Wiratno, Samuel Aditya Christianta   Abstract This research investigates the applicability of failure detection models based on machine learning and statistical approaches to reduce unplanned

Tri Yulianto Nugroho, Umi Laili Yuhana, Daniel Siahaan   Abstract Classifying agility levels presents challenges due to variations in team members’ personalities, roles, and undesirable behaviors. This study aims

Eka Alifia Kusnanti, Chastine Fatichah, Muhamad Hilmil Pradana   Abstract Developing effective traffic monitoring systems for accident detection relies heavily on high-quality, diverse datasets. Many existing approaches focus on

Orchidea Rachmaniah, Hazira Larasati Novida Putri, Cindy Shofya Maharany, Nuniek Hendrianie, Sri Rachmania Juliastuti, Raden Darmawan, Fahmi Fahmi, Wahyu Meka   Abstract Porang (Amorphophallus muelleri Blume) is widely found