Evidence-driven development
We connect research questions, datasets, algorithms, evaluation, and publication with software that can be tested in real settings.
ᜉᜈᜈᜎᜒᜃ᜔ᜐᜒᜃᜈ᜔ ᜅ᜔ ᜋᜃᜐ
Build research.
Ship technology.
MAKASA stands for Modern, Adaptive Knowledge in Agriculture, Science, and Applications. MAKASA Laboratory works across artificial intelligence, software systems, applied research, extension, and student-led innovation.
MAKASA Laboratory × Full Stack Masters
in collaboration with the Computing Society — Bohol Island State University, Bilar Campus
Research & Development
Software Development
in collaboration with
Computing Society — BISU Bilar
Student computing organization
About the laboratory
Research translated into usable systems.
We organize research, software development, academic collaboration, and technology projects around real institutional and community needs. The laboratory serves as a space where ideas can move from problem definition and experimentation to implementation, evaluation, and continued improvement.
Software that gets used
Projects move beyond prototypes toward maintainable web, mobile, data, and AI systems with clear users and operational goals.
Student-led collaboration
Students contribute through development, testing, documentation, research assistance, and iterative project work under guided supervision.
Collaboration
Research × Development × Student Community.
MAKASA Laboratory × Full Stack Masters works in collaboration with the Computing Society — BISU Bilar to connect applied research with student-led software engineering, testing, documentation, innovation, and deployment. Each group retains its distinct identity while contributing to a shared research-to-deployment pipeline.
MAKASA Laboratory
Research design, AI and applied computing, project incubation, system integration, evaluation, and research-to-deployment direction.
Full Stack Masters
Software engineering, full-stack development, technical mentorship, implementation, testing support, and project continuity.
Computing Society — BISU Bilar
Student engagement, computing activities, competitions, peer collaboration, and participation in development and innovation initiatives.
Research Problem→MAKASA→Development Teams→Full Stack Masters + Computing Society→Testing & Deployment→Research Output
Full Stack Masters Leadership
Student leadership with faculty guidance.
Full Stack Masters is led by student officers who carry development practice, mentorship, and project continuity forward each school year, with faculty guidance connecting technical work to research, extension, and institutional outcomes.
Current Officer-in-Charge · 2026
Kevin Esto
Leads the current Full Stack Masters cohort, coordinates development activity, and supports continuity across student software projects.
OIC · Full Stack Masters
Faculty Adviser
Max Angelo D. Perin
maxangelo987.page ↗Provides faculty guidance in software engineering, applied research, project incubation, technical mentorship, and research-to-deployment direction.
Adviser · MAKASA Laboratory × Full Stack MastersLeadership continuity
2025
Paul Jr. E. Salarda
Officer-in-Charge
2024
John Stephen Malarejes
Officer-in-Charge
Focus areas
Where MAKASA builds.
Our work spans interconnected areas in computing and applied technology.
Artificial Intelligence
Machine learning, computer vision, OCR, intelligent decision support.
Machine learning, computer vision, OCR, intelligent decision support.
Software Systems
Web, mobile, information systems, automation, and data platforms.
Web, mobile, information systems, automation, and data platforms.
Applied Research
Research prototypes, scholarly outputs, validation, and technology evaluation.
Research prototypes, scholarly outputs, validation, and technology evaluation.
Extension & Innovation
Community-facing systems, education technology, and collaborative deployment.
Community-facing systems, education technology, and collaborative deployment.
Research publications
Peer-reviewed research from MAKASA Laboratory.
Published scholarly work by MAKASA Laboratory collaborators, connecting machine learning and applied computing with real-world biodiversity and ecological monitoring problems.
iBon: A Web Application for Aerial Fauna Identification and Counting Using Machine Learning
Authors: John Stephen Buslon Malarejes, Vanesa Bea Man-On Salvaleon, Joseph Espina Mission, and Max Angelo Dapitilla Perin.
Published in the 2025 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), Vilnius, Lithuania.
A Comparative Study of Bird Species Classification Using K-Nearest Neighbors, Convolutional Neural Networks, and Support Vector Machines
Authors: John Stephen Buslon Malarejes, Vanesa Bea Man-On Salvaleon, Joseph Espina Mission, and Max Angelo Dapitilla Perin.
Published in the 2025 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), Vilnius, Lithuania.
Open development
Explore the work on GitHub.
Repositories, research builds, student projects, and active software development are organized under the MAKASA Laboratory GitHub organization.