Maximizing preferences for teacher-subject assignments using integer linear programming / Nur Jazlin Sofia Nuzulludin, Nur Nadhirah Ngajizan @ Azizan and Nur Iffah Athirah Ismail

Nuzulludin, Nur Jazlin Sofia and Ngajizan @ Azizan, Nur Nadhirah and Ismail, Nur Iffah Athirah (2024) Maximizing preferences for teacher-subject assignments using integer linear programming / Nur Jazlin Sofia Nuzulludin, Nur Nadhirah Ngajizan @ Azizan and Nur Iffah Athirah Ismail. [Student Project] (Unpublished)

Abstract

The teacher-subject assignment problem is an integral aspect of the broader school timetabling challenge, involving the allocation of teachers to specific subjects while considering various constraints. This study is centered on addressing teacher-subject assignment issues within Sekolah Kebangsaan Sungai Tiram, Manjung, Perak. The primary challenges revolve around achieving a balanced workload and accommodating teacher preferences. To address these issues, an Integer Linear Programming (ILP) model is employed, implemented through Excel Solver. The outcomes reveal that the optimized timetable generated by the ILP model outperforms the initial timetable in terms of satisfying teacher preferences while adhering to specified constraints. A well-optimized teacher-subject assignment is crucial for enhancing the overall teaching experience, benefiting both teachers and students alike.

Metadata

Item Type: Student Project
Creators:
Creators
Email / ID Num.
Nuzulludin, Nur Jazlin Sofia
UNSPECIFIED
Ngajizan @ Azizan, Nur Nadhirah
UNSPECIFIED
Ismail, Nur Iffah Athirah
UNSPECIFIED
Subjects: L Education > LB Theory and practice of education > Higher Education > Dissertations, Academic. Preparation of theses
Divisions: Universiti Teknologi MARA, Negeri Sembilan > Seremban Campus
Programme: Bachelor of Science (Hons.) (Mathematics)
Keywords: Teacher-subject assignments, integer linear programming, Excel Solver, Sekolah Kebangsaan Sungai Tiram, Manjung, Perak
Date: 2024
URI: https://ir.uitm.edu.my/id/eprint/94985
Edit Item
Edit Item

Download

[thumbnail of 94985.pdf] Text
94985.pdf

Download (172kB)

Digital Copy

Digital (fulltext) is available at:

Physical Copy

Physical status and holdings:
Item Status:

ID Number

94985

Indexing

Statistic

Statistic details