Object Detection for Wheeled Mobile Robot Based Using Deep Learning: Systematic Review

 Hapsari Peni Agustin Tjahyaningtijas, Parama Diptya Widayaka, Raissa Alfatikarani, Sayyidul Aulia Alamsyah, Pradini Puspitaningayu, L Endah Cahya Ningrum, Jessie R Paragas
 May 2025

The integration of deep learning technologies in object detection has significantly enhanced the capabilities of wheeled mobile robots, making them more efficient and intelligent in navigating complex environments. These technologies continue reading : Object Detection for Wheeled Mobile Robot Based Using Deep Learning: Systematic Review

GEOGAS App: A Geo Routing LPG Delivery Service Application

 Rico Jajeb Cabugatan, Cynthia Esponga, Marinel G Giguracion, Mark Anthony Refuerzo, Jessie Richie N De Los Santos, Giovanni N De Los Santos, Lorna G De Los Santos
 February 2025

The GEOGAS App is equipped with a web application and geolocation technology that enhances the effective and efficient delivery of Liquefied Petroleum Gas in the Municipality of Burauen, Leyte, Philippines. continue reading : GEOGAS App: A Geo Routing LPG Delivery Service Application

Indonesia Rupiah Currency Detection for Visually Impaired People Using Transfer Learning VGG-19

 Raissa Alfatikarani, Laras Suciningtyas, Genta Garuda Bimasakti, Faqisna Putra Mardhatillah, Jessie R. Paragas, Hapsari Peni Agustin Tjahyaningtijas
 February 2025

People with visual impairments often face difficulties in determining the authenticity of paper money, which is a crucial skill to avoid fraud. The limitations of traditional methods, like blind codes continue reading : Indonesia Rupiah Currency Detection for Visually Impaired People Using Transfer Learning VGG-19

Development of an Algorithm-Based Analysis-Compression Integrated Communication Tracking Management Information System (iCTMIS)

 Carlo Jude P Abuda, Ritchell S Villafuerte
 2024

This study addresses the challenges of administrative tasks and communication tracking at Visayas State University Alangalang (VSUA), highlighting the inefficiencies in the current manual tracking of communication processes. The objective continue reading : Development of an Algorithm-Based Analysis-Compression Integrated Communication Tracking Management Information System (iCTMIS)

GPA and Graduation Prediction on Bachelor Degree for Counseling Purposes with Machine Learning Prediction Approach

 Jessie R. Paragas, Nanang Husin, Hapsari Peni Agustin Tjahyaningtijas, Lusia Rakhmawati, Rindu Puspita Wibawa, Alim Sumarno, Wahyu Pratomo Sapto Warsono, Asmunin, Hasanuddin Al-Habib
 April 9, 2024

At this moment, machine learning (ML) is used concurrently with data mining in many fields, including education. They give improved insight to identify the critical factors from the student that continue reading : GPA and Graduation Prediction on Bachelor Degree for Counseling Purposes with Machine Learning Prediction Approach

Implementing a Support Vector Classifier for Student Risk Assessment in Colegio de Getafe: A Machine Learning Approach

 Alvin T Remolado, Deborah G Brosas
 April 2024

This study addresses the persistent need for technological advancement in higher education to provide quality higher education and early classification for students who are struggling academically. The study’s focus is continue reading : Implementing a Support Vector Classifier for Student Risk Assessment in Colegio de Getafe: A Machine Learning Approach

Machine learning on academic education: Bibliometric studies

 Hapsari Peni Agustin Tjahyaningtijas, Nanang Husin, Hasanuddin Al Habib, Asmunin Asmunin, Rindu Puspita Wibawa, Alim Sumarno, Jesse R. Paragas, Endang Susantini
 November 2023

The use of Machine Learning exhibits significant promise in facilitating advancements in the field of education. It is vital to conduct a comprehensive review of existing research to ascertain the continue reading : Machine learning on academic education: Bibliometric studies

I Love Tacloban App

 Syvel Grace O. Cabonce, Lyra K. Nuevas, Dindo C. Obediencia, John Philip S. Macamay, Jessie R. Paragas, Diane B. Remot, Carlo L. Geran
 2021

Innovation became important today’s generation. There are new-found technologies to help users to cope with the fast and modern development of technologies. The study “I love Tacloban App” is an continue reading : I Love Tacloban App