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An Excel Based Tool Development for Scheduling Optimization Muhammad Afwan Mohamad; Zulfan Adi Putra; M Roil Bilad; Nik Abdul Hadi Md Nordin; M Dzul Hakim Wirzal
ASEAN Journal of Science and Engineering Education Vol 1, No 1 (2021): AJSEE: March 2021
Publisher : Universitas Pendidikan Indonesia (UPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (616.789 KB) | DOI: 10.17509/ajsee.v1i1.32398

Abstract

Scheduling can be seen in many areas such as chemical processing, logistic, supply chain, and class. In this study, two different cases of scheduling problems are addressed which are batch reactor process scheduling and University Class Scheduling (UCS) problems. The aim for the batch reactor process scheduling is to minimize the total discrepancies between the size of the assigned reactors and their corresponding assigned capacities or reactor sizes. The approach taken into consideration includes some constraints such as desired products, the production capacities, and the reactor capacities. Meanwhile, for the UCS problem, the concern is on the number of needed courses assign to certain classrooms while at the same time noting the constraints such as the size of the classroom and the number students. The UCS problem also seeks to optimize the distribution of courses remarkably to classrooms refers to the ratio of classroom capacity to course enrolment. These issues will be resolved using Integer Linear Programming (ILP) in the form of Excel-based software. The ILP model tool for both scheduling problems, therefore, is developed and resolved using the Excel solver utilizing Visual Basic Applications (VBA) and Macro.
Bibliometric Analysis of Research on Scientific Literacy between 2018 and 2022: Science Education Subject Mohd Dzul Hakim Wirzal; Nik Abdul Hadi Md Nordin; Mohamad Azmi Bustam; Maria Joselevich
International Journal of Essential Competencies in Education Vol. 1 No. 2: December 2022
Publisher : Lembaga Penelitian dan Pemberdayaan Masyarakat (LITPAM)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1233.729 KB) | DOI: 10.36312/ijece.v1i2.1070

Abstract

This study presents the results of a bibliometric scientific literacy analysis on science education subjects. The main objectives of this study are (1) to analyze trends in scientific publications on scientific literacy in science education subjects; (2) identification of networks between authors, institutions, and countries; and (3) to understand the structure and focus of research and teaching themes of scientific literacy on science education subject. This research uses 451 published documents from 2018-2022 from the SCOPUS database. VosViewer software is used to analyze and visualize research data. The results of the research show (1) scientific publications on the topic of scientific literacy in science education subject have increased significantly in the last five years; (2) research results on this topic are published in reputable scientific journals (ranked Q1 and Q2); (3) United States is the country with the highest number of documents, citations, and institutions; and (4) there are six groups of keywords used, namely scientific literacy, science education, nature of science, students, education, and teacher education. This study recommends that research at the primary and secondary education levels by taking into account aspects of SL traits can be carried out in future research.