About Arif Mu’amar Wahid

PhD Student at Kanazawa University and Lecturer at Universitas Amikom Purwokerto.

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My work connects biological signal analysis, machine learning, teaching, and practical software development. For research outputs, see the Research and Publications pages.

Professional Biography

I am a computer science researcher, lecturer, and doctoral student working across machine learning, data mining, and applied artificial intelligence. My current doctoral research centers on plant bioelectric potential signals and machine-learning methods for biological time-series data.

At Kanazawa University, I study within the Graduate School of Natural Science and Technology, Division of Electrical, Information and Communication Engineering. Alongside my doctoral study, I serve as a lecturer in the Department of Informatics, Faculty of Computer Science, Universitas Amikom Purwokerto.

My broader academic experience includes research, teaching, curriculum and accreditation support, institutional quality assurance, and data-driven higher-education development.

Education

Oct 2025–present

PhD Student

Kanazawa University, Japan

Graduate School of Natural Science and Technology; Division of Electrical, Information and Communication Engineering. MEXT Scholarship awardee.

2023–2025

Master of Computer Science

Universitas Amikom Purwokerto, Indonesia

GPA 4.00/4.00. Thesis: Optimization of Feature Extraction Algorithm and Visual-Based Recommendation in Image-Based Website Theme Recommendation System with Transfer Learning.

2011–2016

Bachelor of Mathematics Education

Universitas Negeri Semarang, Indonesia

GPA 3.44/4.00. Undergraduate thesis on the effectiveness of probing-prompting learning with question cards for students’ problem-solving ability.

Academic & Professional Experience

2025–present

Lecturer, Department of Informatics, Faculty of Computer Science

Universitas Amikom Purwokerto, Indonesia

Teaching and student research support in informatics, including Data Science, Multivariate Analysis, Persuasive Technology, machine learning, and predictive analytics. On doctoral study in Japan under MEXT.

2017–present

Staff, Educational Development and Quality Assurance Center

Universitas Amikom Purwokerto, Indonesia

Study-program and institutional accreditation, academic program development, KPI monitoring, curriculum development, internal quality assurance and audit.

2023–2024

Teaching and Research Assistant

Universitas Amikom Purwokerto, Indonesia

Assisted Data Science, Multivariate Analysis, and Persuasive Technology teaching and student projects in analytics and machine learning.

Teaching and Research Support

My teaching and student project experience includes Data Science, Multivariate Analysis, Persuasive Technology, Machine learning and predictive-analytics projects. Beyond teaching, I have worked on curriculum and accreditation support, internal quality assurance, and institutional analytics.

Selected Academic Leadership

Chair, Graduate Student Association

Universitas Amikom Purwokerto · Jun 2024–Mar 2025

Vice President, Student Executive Board

Universitas Negeri Semarang · Jan–Dec 2015

Scholarly Service

Selected editorial, reviewing, and conference roles listed in my August 2026 CV. Appointments may have changed since that date.

National Editorial Board Member

TIERS Information Technology Journal · Listed in CV, Aug 2026

Executive Manager / Principal Contact

International Journal for Applied Information Management (IJAIM) · Listed in CV, Aug 2026

Reviewer

Jurnal Pendidikan dan Teknologi Indonesia (JPTI) · Listed in CV, Aug 2026

Support Contact

Artificial Intelligence in Learning · Listed in CV, Aug 2026

Conference organizing and peer-review support

ICCRAIDS 2026, Purwokerto · 10–11 Apr 2026

View the public academic CV →