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Critical success factors for Lean Six Sigma in business school: A view from the lecturers

10.11591/ijere.v11i1.21813
Tan Owee Kowang , Lim Peidi , Lim Kim Yew , Ong Choon Hee , Goh Chin Fei , Baharudin Kadir
Lean is a process improvement approach to improve organization’s efficiency by identifying and eliminate non-value-added activities, while Six Sigma is a methodology focused on reduction of process variation. The integration of both, namely Lean Six Sigma (LSS) drives organization on waste elimination, variation reduction and value creation, which ultimately enhancing organizational performance. LSS has been viewed by prior scholars as one of effective approach for business improvement regardless of manufacturing or services industry. However, the research of LSS in education sector, particularly for business school is relatively lacking. Hence, this research aimed to identify the critical success factors (CSFs) for LSS within a business school in Malaysia. The research also aimed to explore the relationship between the LSS, CSFs, and organization performance. There were six CSFs identified from literature review, while organization performance is assessed via the concept of system theory. The research was quantitative based with the lecturers in the business school as the targeted population. Questionnaire was distributed based on stratified sampling plan with 69 responded. Descriptive and Pearson correlation analysis result revealed that lecturers within the business school perceived that all the six LSS CSFs as “very important”, and strongly correlated with organization performance, except CSF “project selection and prioritization”. As implication, finding from this research suggested that the adaption of LSS between manufacturing and education sectors shared the commonality in term of CSF. However, the business school should look into project proposal from the lecturers’ perspective as an alternate source of process improvement opportunity.
Volume: 11
Issue: 1
Page: 280-289
Publish at: 2022-03-01

Dengue hemorrhagic fever vulnerability assessment in Gorontalo Regency using analytic hierarchy process and geoinformation techniques

10.11591/ijphs.v11i1.21084
Ririn Pakaya , Yanti Hz. Hano , Muhammad Ramdhan Olii
One method of reducing the spread of dengue hemorrhagic fever (DHF) is to provide a map of DHF-prone locations based on spatial analysis. The major way to prevent the spread of DHF is to manage and control its vector by focussing on specific regions of localisation and removing appropriate breeding circumstances. Spatial analysis can detect DHF clusters that are larger than expected based on the underlying data. This research aimed to identify and map DHF vulnerability zones based on many parameters within the scope of the analytical hierarchy and geographical information systems (GIS). We found that the consistency ratio of 0.079 for analytic hierarchy process (AHP) factor weights was judged to be satisfactory. The population density, distance to the road, and distance to health facilities were shown to be the most relevant factors in determining DHF vulnerability. Gorontalo Regency is dominated by low vulnerability classes with an area of 139,493.5 ha or 65.08% of the total area. The GIS-AHP process could be used to assess transmissible DHF vulnerability zonation, which would aid in improving surveillance strategies for DHF and other vector-borne diseases in order to encourage prevention and control actions.
Volume: 11
Issue: 1
Page: 138-148
Publish at: 2022-03-01

Nominal group technique application towards design of components and elements of non-digital game framework

10.11591/ijere.v11i1.22164
Siti Khadijah Anis , Alias Masek , Muhammad Nurtanto , Nur Kholifah
Non-digital games are a tool that can help children to build and improve problem solving skills in early mathematics learning. Teachers need to design a learning activity using non-digital games taken account problem solving skills in the learning activities. However, the application of problem-solving skills in early mathematics learning activities is challenging, as there is no specific reference that can be used as a guide in implementing effective learning activities. The nominal group technique (NGT) approach is used to design the main components and elements of ProSkiND non-digital games framework based on the expert validation. A total of 12 experts were selected to validate the proposed main components and elements of the ProSkiND non-digital game using NGT online workshop. There were five main components with 41 elements were proposed: activity objective, teacher’s preparation, teacher’s role, children’s role, and activity evaluation. In this study, experts are asked to evaluate the ProSkiND non-digital games main components and elements based on the percentage value of agreement. The value of percentage of agreement that exceeds 70% (≥70%) is acceptable. The findings in this phase are used to develop main components and elements of the ProSkiND non-digital game framework based on problem solving skills for preschool early mathematics using the interpretive structural modelling (ISM) approach.
Volume: 11
Issue: 1
Page: 213-223
Publish at: 2022-03-01

Oral participation practices in classroom among university students in Afghanistan

10.11591/ijere.v11i1.21865
Hamza Atifnigar , Hedayatullah Bawar , Malang Momand , Siti Aishah Abdul Hamid
This study aimed at exploring factors affecting classroom participation among students in the English department of Laghman University, Afghanistan. More precisely, this research discovered factors related to teachers and class-size that hinder students’ practice of oral participation in the classroom. In collecting the data, this study employed mixed-method research with concurrent design. An adapted questionnaire and a semi-structured interview have been used as the data collection instrument of this study. An online survey questionnaire was conducted with 110 respondents. In addition, a semi-structured interview was conducted with five of the respondents at the English Department of Laghman University. The data from the questionnaire was descriptively analyzed through using statistical package for social science (SPSS), and the semi-structured interview data were thematically analyzed and interpreted. The findings revealed that class-size related factor is the first influential factor in affecting oral participation among students and it is due to having large number students in a class. Teacher’s related factor is the second influential factor that affects the oral participation of students. Majority claimed that teachers’ approach, behavior, and qualification have prominent impact on their level of oral participation. Based on the finding, it can be seen that class-size related, and teachers’ factors affected oral participation of the students at the English Department of Laghman University. It is recommended that the Ministry of Higher Education of Afghanistan strive to decrease the number of students in each class and enforce teachers in implementing a student-centered learning approach while teaching.
Volume: 11
Issue: 1
Page: 409-420
Publish at: 2022-03-01

Cost analysis of on-premise versus cloud-based implementation of moodle in Kufa University during the pandemic

10.11591/ijeecs.v25.i3.pp1787-1794
Abdulhussein Abdulmohson , Mohammed Falih Kadhim , Othman M. Hussein Anssari , Ahmed A. Al-Jobouri
Many organizations often use physical hardware resources, such as storage devices and firewall, to store their essential applications and data. Recently, the Coronavirus pandemic represented a significant challenge for the University of Kufa, which utilize an on-premise data center for e-learning since 2009. Whether the learning management system (LMS) is installed on an on-premise data center or the cloud, it is crucial for any university, to decide which implementation is more suitable because of the differences between the two options, especially in terms of cost. This study uses the total cost of ownership (TCO) model to highlight the cost aspect when using on-premise datacenter versus cloud-based implementation for e-learning and to determine which option is cost effective. The results may help other universities, inside or outside Iraq, deciding which implementation is more suitable (financially) for the organization. The final results show that the cloud-based solution costs approximately 20% less than the currently used on-premise option. Despite all drawbacks of on-premise datacenter such as unstable electricity, bad Internet service, and costing more than cloud hosting, it maybe still more convenient in the case of the University of Kufa due to the sensitive data stored in the data center.
Volume: 25
Issue: 3
Page: 1787-1794
Publish at: 2022-03-01

AraBERT transformer model for Arabic comments and reviews analysis

10.11591/ijai.v11.i1.pp379-387
Hicham EL Moubtahij , Hajar Abdelali , El Bachir Tazi
Arabic language is rich and complex in terms of word morphology compared to other Latin languages. Recently, natural language processing (NLP) field emerges with many researches targeting Arabic language understanding (ALU). In this context, this work presents our developed approach based on the Arabic bidirectional encoder representations from transformers (AraBERT) model where the main required steps are presented in detail. We started by the input text pre-processing, which is, then, segmented using the Farasa segmentation technique. In the next step, the AraBERT model is implemented with the pertinent parameters. The performance of our approach has been evaluated using the ARev dataset which contains more than 40,000 comments-remarks records relate to the tourism sector such as hotel reviews, restaurant reviews and others. Moreover, the obtained results are deeply compared with other relevant states of the art methods, and it shows the competitiveness of our approach that gives important results that can serve as a guide for further improvements in this field.
Volume: 11
Issue: 1
Page: 379-387
Publish at: 2022-03-01

Optimized scheduling of scientific workflows based on iterated local search

10.11591/ijeecs.v25.i3.pp1615-1624
Alaa Abdalqahar Jihad , Sufyan T. Faraj Al-Janabi , Esam Taha Yassen
Recent years have witnessed a great interest in scientific applications with large data and processing-intensive, so cloud computing is used which provides the resources needed to implement and run these applications. One of the challenges in the management of scientific workflow applications is scheduling them to solve many combinatorial optimization problems, including reducing execution time, cost, resource utilization, and energy consumption. Due to the fact that the iterated local search algorithm (ILS) has been successfully applied to solve many combinatorial optimization problems, this paper investigates the performance of ILS in solving the scientific workflow scheduling problem which is a highly constrained problem. The main components that are different from one problem to others are the ILS parameters, local search, and perturbation, which must be carefully designed. The performance of the standard ILS has been examined and compared with the latest technology. The experimental results show that the proposed algorithm (ILS) obtained good results compared to the best-known results in the literature. This is due to the ILS being an adaptable metaheuristic, which can be simply adapted to different search situations and instances.
Volume: 25
Issue: 3
Page: 1615-1624
Publish at: 2022-03-01

Using Health Belief Model for predicting COVID-19 prevention practices among university student and staff

10.11591/ijphs.v11i1.21059
Hidayati Hidayati , Nia Musniati , Ahmad Hidayat , Mochamad Iqbal Nurmansyah
Large-scale social restriction (PSBB-Pembatasan Sosial Berkala Besar) is a policy aimed at reducing the spread of coronavirus disease 2019 (COVID-19). The purpose of this study was to determine the respondents' compliance behaviors towards the PSBB regulations according to the Health Belief Model. This cross-sectional study was conducted at a private university in Jakarta using quantitative methods. Data collection was carried out on July 2020, where 116 respondents were selected and recruited in the study using convenience non-probability sampling. Online self-administered questionnaire was used to collect data. The independent variables were adopted from Health Belief Model theory. These included; perceived susceptibility, perceived severity, health motivation, perceived benefit, perceived barrier and cues to action. The dependent variable was COVID-19 prevention behavior. Results showed that variables of health motivation (p-value=0.001), perceived benefits (p-value=0.008), and perceived barriers (p-value=0.007), advertising (p-value=0.027), counseling (p-value=0.001), and media access (p-value=0.000) had significant effects on the respondents' compliance to COVID-19 prevention behaviors. Multivariate analysis showed significant association of health motivation and perceived benefits with COVID-19 prevention behavior. An intervention is required to improve the community’s perception and belief towards the benefits and effectiveness of COVID-19 prevention behavior in preventing the COVID-19 pandemic.
Volume: 11
Issue: 1
Page: 20-27
Publish at: 2022-03-01

STEM literacy in growing vocational school student HOTS in science learning: A meta-analysis

10.11591/ijere.v11i1.21647
Qori Agussuryani , Sudarmin Sudarmin , Woro Sumarni , Edy Cahyono , Ellianawati Ellianawati
The low higher order thinking skills (HOTS) of vocational students is shown from the approaches and models used in learning that are not specific, learning activities are limited to methods that have not been able to grow HOTS. One of the approaches offered in science, technology, engineering, and mathematics (STEM). The research objective was to analyze STEM in growing HOTS through literature studies. The data collection method used a STEM systematic review from 2016-2020 based on the indexed findings of Google Scholar and Scopus (Database: Elsevier, Scopus, and Science Direct). Qualitative descriptive data analysis technique was employed on inductive deductive patterns. Based on data analysis, there are findings of 18 Google Scholar indexed articles and 20 Scopus indexed articles according to the inclusion criteria. The results showed that: i) STEM integration patterns in growing HOTS obtained six STEM literacy patterns of 28% on Google Scholar and four STEM integration patterns by 65% in Scopus; ii) The trend of STEM and HOTS research from 2016-2020 has increased the most in 2020 by 56% on Google Scholar and 40% on Scopus. Most of the methods used are research and development (R&D) with data analysis techniques in the form of t-test on Google Scholar data and survey methods with descriptive analysis on Scopus data. The difference in the publication trend on the integration pattern, the number of samples used is greater in the Scopus data. The method used is more dominant in the survey than R&D, but whatever the research design in STEM literacy is, in principle, it can empower HOTS to increase learning activities.
Volume: 11
Issue: 1
Page: 51-60
Publish at: 2022-03-01

Modelling minicab drivers' disordered behaviour for choosing passenger and destination in Akure, Nigeria

10.11591/ijaas.v11.i1.pp19-28
Adetayo Olaniyi Adeniran , Olorunfemi Samuel , Njoku Ikpechukwu
This study investigated the disordered behaviour of minicab drivers for choosing passenger and destination in Akure using the multinomial model and nested logit model respectively. Information was gathered by the distribution of questionnaires to minicab drivers plying the Federal University of Technology Akure (FUTA) North gate to the Oja-Oba axis in Akure, Nigeria. The objectives were to validate the performance of logit models; to identify the major parameters for selecting passenger and destination by disordered minicab drivers, and to examine the interrelationships of variables employed. Primary data was obtained from 314 respondents. The study found that the nested logit model gives a better utility value than the multinomial logit model with ρ02 = 0.48 more than ρc2 = 0.46 which justifies the assertion. Also, the major parameters for selecting passengers and destination by disordered minicab drivers in Akure are transport rates variable, distance variable, and travel time variable. The study recommends that an accurate pricing policy of minicab operation should be efficiently formulated, implemented, and enacted to prevent overcharging and undercharging.
Volume: 11
Issue: 1
Page: 19-28
Publish at: 2022-03-01

Supporting mental health during the pandemic: the elements of mattering in expressive writing

10.11591/ijphs.v11i1.21102
Jia Yi Khor , Shakti Velan Raja Kumar , Wen Yu Cai , Chen Sung Wong , Kususanto Ditto Prihadi
Previous studies indicated that the sense of mattering played signifant protective role for mental health amidst the pandemic. This current study aims to explore whether elements of mattering in people’s mind are expressed through expressive writing during the hardships such as pandemic situation. Ten young adults who were not diagnosed with any mental health issue were recruited in to take part in an online experiment over a period of four weeks, where they were instructed to expressively write their weekly positive experiences. Thematic analysis suggested that the content of their writings were consistent to the constructs of interpersonal mattering, such as attention, importance and ego extension, as well as the absence of individuality and noted absence. These findings indicated that elements of mattering were embedded in the positive thoughts of our participants, and were expressed through their writings. Further studies are suggested in order to inestigate the effectiveness of expressive writing to improve the sense of mattering to prevent mental health issues during the pandemic.
Volume: 11
Issue: 1
Page: 204-210
Publish at: 2022-03-01

Parallelized solution to the asymmetric travelling salesman problem using central processing unit acceleration

10.11591/ijeecs.v25.i3.pp1795-1802
Akschat Arya , Boominathan Perumal , Santhi Krishnan
Travelling salesman problem is a well researched problem in computer science and has many practical applications. It is classified as a NP-hard problem as its exact solution can only be obtained in exponential time unless P = NP. There are different variants of the travelling salesman problem (TSP) and in this paper, asymmetric travelling salesman problem is addressed since this variant is quite often observed in real world scenarios. There are a number of heuristic approaches to this problem which provides approximate solutions in polynomial time, however this paper proposes an exact optimal solution which is accelerated with the help of multi-threading-based parallelization. In order to find the exact optimal solution, we have used the held-karp algorithm involving dynamic programming and to reduce the time taken to find the optimal path, we have used a multi-threaded approach to parallelize the processing of sub-problems by leveraging the central processing unit cores (CPUs). This method is an extension of a well researched solution to the TSP; however, this method shows that solutions to computationally intensive problems involving sub-problems such as the asymmetic travelling salesman problem (ATSP) can be accelerated with the help of modern CPUs.
Volume: 25
Issue: 3
Page: 1795-1802
Publish at: 2022-03-01

Development of teaching factory competency-based for vocational secondary education in Central Java, Indonesia

10.11591/ijere.v11i1.21709
Sintha Wahjusaputri , Bunyamin Bunyamin
This research was conducted to analyze the teaching factory model in vocational high school (sekolah menengah kejuruan/SMK) in Central Java Province, Indonesia according to the teaching factory's success factors. This research used meta-ethnography for qualitative methods and Delphi technique, Research and Development, and social problem-solving models for quantitative methods. This research involved five vocational secondary education in Central Java Province, with 140 students as the respondents. The findings of teaching factory model implementation are applied to school management, human resources, marketing promotion, workshops, laboratories, learning patterns, and business and industry relationships. This model should increase the competency of graduates relevant to business and industry needs in the 4.0 era industry.
Volume: 11
Issue: 1
Page: 353-360
Publish at: 2022-03-01

Group investigation model to improve interpersonal skills

10.11591/ijere.v11i1.21914
Nur Ainiyah , Anik Ghufron , Marzuki Marzuki , Said Subhan Posangi , Kasim Yahiji , Abdul Rohman , Moch. Tolchah , St. Wardah Hanafie Das
This study aimed to prove the effectiveness of the application of the group investigation learning model in improving students' interpersonal skills. The sample of this study was 116 students, which was determined by a simple random sampling technique. This experimental research used pre-test post-test Control Group Design. Data were obtained by direct observation of the interpersonal skills of students during the learning process. Final observation score of interpersonal skills is 0.026 and the t value count greater than t table (2.272>1.980). Thus, there are differences in interpersonal skills between the experimental class and the control class. This means that the use of the group investigation model is effective in improving students' interpersonal skills.
Volume: 11
Issue: 1
Page: 467-474
Publish at: 2022-03-01

An investigation study for risk calculation of security vulnerabilities on android applications

10.11591/ijeecs.v25.i3.pp1736-1748
Radhwan M. Abdullah , Abedallah Zaid Abualkishik , Najla Matti Isaacc , Ali A. Alwan , Yonis Gulzar
Applications within mobile devices, although useful and entertaining, come with security risks to private information stored within the device such as name, address, and date of birth. Standards, frameworks, models, and metrics have been proposed and implemented to combat these security vulnerabilities, but they remain to persist today. In this review, we discuss the risk calculation of android applications which is used to determine the overall security of an application. Besides, we also present and discuss the permission-based access control models that can be used to evaluate application access to user data. The study also focuses on examining the predictive analysis of security risks using machine learning. We conduct a comprehensive review of the leading studies accomplished on investigating the vulnerabilities of the applications for the Android mobile platform. The review examines various well-known vulnerabilities prediction models and highlights the sources of the vulnerabilities, prediction technique, applications and the performance of these models. Some models and frameworks prove to be promising but there is still much more research needed to be done regarding security for Android applications.
Volume: 25
Issue: 3
Page: 1736-1748
Publish at: 2022-03-01
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