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Web-Based DSS for Madrasah Teacher Performance Appraisal Roji, M. Fatkhur; Selviana, Renita; Hikmah, Nurul
Journal of Electrical Engineering and Computer (JEECOM) Vol 8, No 1 (2026)
Publisher : Universitas Nurul Jadid

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33650/jeecom.v8i1.14551

Abstract

Teacher performance appraisal in Madrasah Diniyah Hidayatul Mubtadiin was previously carried out manually using spreadsheets and paper archives, leading to slow processing, input errors, and weak traceability of historical results. This study proposes and implements a web-based Decision Support System (DSS) to automate the appraisal process and support transparent ranking using the Profile Matching method. Teacher performance is assessed on five aspects pedagogic, professional, personality, discipline, and social using a 1–5 rating scale, with an ideal target profile set to 5 for all factors. For each factor, the system computes a GAP between actual and target values, converts the GAP to a weight via a predefined mapping, and aggregates scores by separating Core Factors and Secondary Factors. Aspect scores are calculated using a 60%:40% composition between core and secondary components, and overall rankings are produced through inter-aspect weighting. The DSS is developed with the Laravel MVC framework and supports three roles (admin, teacher, and principal), including principal verification and automatic generation of signed PDF reports for each appraisal period. Functional validation using black-box testing across ten key scenarios shows that all critical modules—data management, scoring input, computation, verification, ranking, and reporting—operate as expected. The proposed system reduces manual workload, accelerates semester appraisal activities, and improves auditability of appraisal decisions for madrasah management.
Utilizing MBTI to Enhance Career Fit for Information Technology Students Mualim, Wildan; Roji, M. Fatkhur; Astrella, Nathania Bayu
Journal of Electrical Engineering and Computer (JEECOM) Vol 8, No 1 (2026)
Publisher : Universitas Nurul Jadid

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33650/jeecom.v8i1.14616

Abstract

A significant challenge faced by students in Information Technology (IT) programs is the mismatch between their personality traits and career paths. Many students struggle to determine the right career trajectory in the IT industry, often choosing based on market trends or peer influence rather than considering the alignment of their personality with job requirements. The lack of a psychometric-based counseling system to help align personality with career choices further exacerbates this issue. This study aims to explore the effectiveness of using the Myers-Briggs Type Indicator (MBTI) to align students' personalities with their career preferences. The research was conducted with a sample of 80 final-year students from the Information Technology and Systems program at Yadika Institute of Technology and Business Pasuruan. The findings revealed that the majority of students exhibited introverted personality traits, with INFP and INTP being the most common types. A statistically significant correlation was found between MBTI types and preferred career fields. For instance, students with INFP and INTP types leaned toward creative and analytical professions such as UI/UX design, software engineering, and data science, while ESTJ types favored managerial roles. Additionally, 73% of students reported high satisfaction with the career recommendations provided based on their MBTI results. This research supports the use of MBTI as an effective tool for career counseling, offering a more personalized approach to career decision-making.