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Contact Name
Eko Didik Widianto
Contact Email
rumah.jurnal@live.undip.ac.id
Phone
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Journal Mail Official
budiyono@live.undip.ac.id
Editorial Address
Faculty of Engineering University of Diponegoro Semarang Central Java Indonesia
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Kota semarang,
Jawa tengah
INDONESIA
IJEE (International Journal of Engineering Education)
Published by Universitas Diponegoro
ISSN : -     EISSN : 25409808     DOI : -
The scope of journal covers all area in a wide variety of research areas in the field of engineering education. Some of research area such as (1) engineering epistemologies (what constitutes engineering thinking and knowledge), (2) engineering learning mechanisms (how learners develop knowledge and competencies), (3) engineering learning systems (instructional cultures and institutional practices), (4) engineering diversity and inclusiveness (how human diversity contributes to engineering processes and products), and (5) engineering assessment (development and use of assessment methods, instruments, and metrics).
Articles 35 Documents
A Robust Grey Wolf-based Deep Learning for Brain Tumour Detection in MR Images Geetha A. Geetha; Gomathi N. Gomathi
International Journal of Engineering Education Vol 1, No 1 (2019)
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1531.556 KB) | DOI: 10.14710/ijee.1.1.9-23

Abstract

In recent times, the detection of brain tumour is a common fatality in the field of the health community. Generally, the brain tumor is an abnormal mass of tissue where the cells grow up and increase uncontrollably, apparently unregulated by mechanisms that control cells. A number of techniques have been developed so far; however, the time consumption in detecting brain tumor is still a challenge in the field of image processing.  This paper intends to propose a new detection model even accurately. The model includes certain processes like Preprocessing, Segmentation, Feature Extraction and Classification. Particularly, two extreme processes like contrast enhancement and skull stripping are processed under initial phase, in the segmentation process, this paper uses Fuzzy Means Clustering (FCM) algorithm. Both Gray Level Co-occurrence Matrix (GLCM) as well as Gray-Level Run-Length Matrix (GRLM) features are extracted in feature extraction phase. Moreover, this paper uses Deep Belief Network (DBN) for classification. The DBN is integrated with the optimization approach, and hence this paper introduces the optimized DBN, for which Grey Wolf Optimization (GWO) is used here.  The proposed model is termed as GW-DBN model. The proposed model compares its performance over other conventional methods in terms of Accuracy, Specificity, Sensitivity, Precision, Negative Predictive Value (NPV), F1Score and Matthews Correlation Coefficient (MCC), False negative rate (FNR), False positive rate (FPR) and False Discovery Rate (FDR), and proven the superiority of proposed work. 
Developing systems thinking in a Project-Based Learning environment Sigal Kordova
International Journal of Engineering Education Vol 2, No 1 (2020)
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1416.692 KB) | DOI: 10.14710/ijee.2.1.63-81

Abstract

As science and engineering projects are becoming increasingly more complex, sophisticated, comprehensive and multidisciplinary, there is a growing need for systems thinking skills to ensure successful project management. Systems thinking plays a major role in the initiation, effective management, and in facilitating inter-organizational tasks. This research assesses the capacity for engineering systems thinking and its contribution in carrying out a multidisciplinary project. The research also reviews the cognitive process through which systems thinking skill is acquired. The study focused on a group of students who have completed their senior design projects in high-tech industry, while their plans were being integrated into existing larger projects in the respective industrial sites. The systems thinking skill of the students was examined according to a questionnaire for assessing the Capacity for Engineering Systems Thinking (CEST). Statistical analysis shows significant differences in the students capacity for systems thinking at the beginning and end of the work (p<0.001). This research demonstrates that systems thinking skills can be improved through awareness and involvement in multidisciplinary projects.
Road Transport Accident Analysis from A System-Based Accident Analysis Approach Using Swiss Cheese Model Raymond Akuh; Charles Atombo
International Journal of Engineering Education Vol 1, No 2 (2019)
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1210.275 KB) | DOI: 10.14710/ijee.1.2.99-105

Abstract

Road safety has become a major concern to both developed and developing countries due to its negative economic impacts. Although, numerous approaches of accident analysis have been conducted, there seem to be an increase in road crashes every year. The main aim of this study is to analyse a driving school accident using a system-based accident analysis approach. The data for the study was collected using an interview. A Swiss Cheese Accident Causation Model was used to identify the factors that contributed to the accident. The study identified four weaknesses in the system defences of the driving school that created a possible accident trajectory. It is concluded that adopting system-based accident analysis approach in analysing road transport accidents, could lead to a greater understanding of latent conditions and road user error, which in turn could inform the development of intervention strategies within a road transport domain as suggested by other studies. Finally, the short falls of using only person approach of accident analysis in road transport domain are also highlighted.
Learning Models in Educational Game Interactions: A Review Aulia Akhrian Syahidi; Ahmad Afif Supianto; Tsukasa Hirashima; Herman Tolle
International Journal of Engineering Education Vol 3, No 1 (2021)
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (409.123 KB) | DOI: 10.14710/ijee.3.1.%p

Abstract

Educational games have now been used as innovative media and teaching strategies to achieve more effective learning and have an impact that tends to be very good in the learning process. However, it is important to know and systematically prove that the application of the learning model in the interaction of educational games is indeed feasible to be adopted and has an effect. This paper aims to present empirical evidence of the current situation regarding the application of learning models in the flow of educational game interactions. The method used is a systematic literature review by adopting three main stages, namely: 1) Planning; 2) Implementation; 3) Reporting. Then recommend the ten steps in the systematic literature review process along with the selection process through the test-retest approach. The initial search obtained 1,405,310 papers, then go through the selection stage. The selection process took place at stage B1 with the number of papers that successfully passed 198, at the B2 selection stage there were 102 papers, and we focus 75 papers that have passed a fairly rigorous screening and selection process on the quality assessment process for primary studies, used to answer research objectives and questions. We can confirm and conclude that 75 papers have applied the learning model in educational game interactions. The dominating domain is Education, the type of game that dominates is Educational Game, for the most dominating subjects are Programming, Student Learning Motivation as the most dominating impact, Experimental Design as a trial technique, the most widely used evaluation instruments are Questionnaires and Tests, a population that dominates between 79-2,645 people, and 8 papers to support learning in vocational education.
Effect of Collaborative Learning Strategies on Student Achievement in Various Engineering Courses Geraldine Gonzaga Nerona
International Journal of Engineering Education Vol 1, No 2 (2019)
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1269.119 KB) | DOI: 10.14710/ijee.1.2.114-121

Abstract

This study focused on determining the effectiveness of collaborative learning strategies in improving students' performance in three general engineering courses. The pretest-posttest control group experimental design was used in the study. From the results of the Z-test, there were no significant differences in the pretest scores of the experimental and control groups. However there were significant differences in the posttest scores of the respondents, with the experimental groups engagedin collaborative learning obtaining significantly higher achievement scores than their control group counterparts,who were exposed to the traditional lecture-discussion and individual learning methods. Effect sizes were also positive for the experimental groups, meaning, they were able to perform better in class compared to their control group counterparts.
Fostering Employability Skills of Mechanical Technology Students through Mentoring Approach in Industrial Training Programme Shola Francis Bakare; Azlan Bin Abdul Latib; Muhammad Sukri Saud
International Journal of Engineering Education Vol 2, No 2 (2020)
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (867.021 KB) | DOI: 10.14710/ijee.0.0.%p

Abstract

Mentorship can be provided in form of counseling, role model, as well as career support to a less experienced person. Mentoring differs in one circumstance to the other. It is interpreted in different ways by different individuals. The tenacity of this study is how mentoring technique can be used tactically to accomplish employability skills development. The study adopted descriptive survey with a structured questionnaire which was administered to sample size of 153 which comprises of 78 technical college teachers and 75 professionals in the industries. The data for the study was analyzed according to the formulated for the study with the aid of Statistics Package for Social Science (SPSS). Mean score and standard deviation was used to answer the research questions. The study revealed that mentoring in ITP promotes employability skills developments of technical and vocational education (TVE) students in the field of mechanical technology. The study also revealed that some factors are militating against the effectiveness of mentoring and employability skills development during industrial training programme of TVE. Based on the findings, the study concludes with certain recommendations. The mandate for the development of workforce employability skills has been on the increase in the world over.  To gain access to the world of work is enormously depending upon having employability skills required by the industries. The acquisition of employability skills can be better activated when the recipients are still in the training institutions. Finally, the study presents mentoring from the perspectives of students’ industrial training programme (ITP) as a strategic approach to foster employability among mechanical technology students.
A Novel HWRR-SJF Scheduling Algorithm for Optimal Performance Improvement in LTE System Pradeep S
International Journal of Engineering Education Vol 1, No 1 (2019)
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (20.994 KB) | DOI: 10.14710/ijee.1.1.1-8

Abstract

In currently, the revolution in a high-speed broadband network is the requirement and also endless demand for high data rate and mobility. To achieve above requirement, the 3rd Generation Partnership Project (3GPP) has been established the Long Time Evolution (LTE). LTE has established an improved LTE radio interface named LTE-Advanced (LTE-A) and it is a promising technology for providing broadband, mobile Internet access. But, better Quality of Service (QoS) to provide for customers is the main issue in LTE-A. To reduce the above issue, the packets should be utilized by using one of the most significant function of packet scheduling to upgrading system performance via determines the throughput performance. In existing scheme, the user with poor Channel Quality Indicator (CQI) has smaller throughput issue is not focused. In this paper, a Hybrid Weighted Round Robin with Shortest Job First (HWRR-SJF) Scheduling technique is proposed to enhance efficient throughput and fairness in LTE system for stationary and mobile users. In this proposed scheduling, to schedule users according to a different criterion like fairness and CQI. HWRR-SJF Scheduling has been proposed for scheduling of the users and it produces increased throughput for various SNR values simulated alongside Pedestrian and Vehicular moving models. The proposed method also uses a 4G-LTE filter or Digital Dividend (DD) in order to align the incoming signal. The digital dividend is used to remove white spaces, which refer to frequencies assigned to a broadcasting service but not used locally. The proposed model is very effective for users in terms of the performance metrics like packet loss, throughput, packet delay, spectral efficiency, fairness and it has been verified through MATLAB simulations.
THE ANALYSIS IS FOR THE DESIGN OF DIFFERENT CLUB FACE’S THICKNESSES OF FAIRWAY WOOD TO THE CHARACTERISTIC TIME Kueipin Kuo
International Journal of Engineering Education Vol 2, No 1 (2020)
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (612.334 KB) | DOI: 10.14710/ijee.2.1.11-19

Abstract

Background: The main factors to influence on the stroking performance of club head are alloy and spring-like effect. Design the structure of new club face to create the fairway wood which can show best stroking feeling and let driving distance become longer. Purpose: The club face of fairway wood is processed through the iron alloy heating procedure and CNC to innovate the club head with high spring-like effect (characteristic time). Method: (1) Use 455 stainless steel processed by heating and aging treatment, to do the analysis on microstructure and mechanical properties. (2) Through CNC to design seven different patterns for the back of club face, each pattern for three club head. The total amount is twenty-one. (3) Make finished product be test the characteristic time and the ability of strike by the practical measurement. (4) To analyze after the compare between three-way ANOVA and LSD. Results: After 455 stainless steel was heated in procedure S850℃-A550℃, mechanical properties became superior and had the better malleability, it is suitable for developing the club face of high spring-like effect. Before and after grinding among three-way ANOVA (pattern*thickness*place), did not achieve the significant level on the figure of characteristic time. Through two-way ANOVA (pattern*place and thickness*place), showed the significant deviation before and after grinding. After doing the crash test by 45m/s, all the results can reach the higher limited standard. Summary: 455 stainless steel was designed with the different club face’s thicknesses of fairway wood can make spring-like effect achieve high characteristic time. The much thinner club face let the characteristic time perform highly. But there was no obvious effects from the patterns of the back club face.
IJEE template Editor Support
International Journal of Engineering Education IJEE TEMPLATE
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (504.881 KB) | DOI: 10.14710/ijee.0.0.%p

Abstract

IJEE template
Predictive analysis of instruction in science to students’ declining in-terest in science-An analysis of gifted students of sixth - and seventh-grade in Taiwan Chia-Yen Hsieh
International Journal of Engineering Education Vol 2, No 1 (2020)
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1202.043 KB) | DOI: 10.14710/ijee.2.1.33-51

Abstract

Students’ interest in science declines substantially in the transition from elementary to secondary education. Using students’ ratings of their instruction on the topic of oxidation-reduction reaction, we examined if changes in instructional practices accounted for differences in situational interest in science imagination instruction and enduring individual interest in science imagination between elementary and secondary school classrooms. Multilevel regression analyses were conducted for a sample of 162 sixth - and 161 seventh-grade gifted classrooms. The use of student experiments, the elicitation of student explanations, and lack of clarity accounted to varying degrees for disparities in science interest between grade levels. The impact of instructional practices on individual interest was mediated by situational interest.

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