Faculty Of Engineering Research Articles

E-Learning Evaluation Based on Context, Input, Process, and Product (CIPP)

The development of internet-based information technology has had an impact on many aspects of human life, including education. Online learning is made possible by the learning paradigm in the industrial era 4.0. During the COVID-19 pandemic, many universities implemented online learning methods using E-Learning, in line with government recommendations to implement health protocols to break the chain of the COVID-19 virus, such as wearing masks, washing hands and maintaining distance. The Faculty of Engineering, Batam University has used e-learning for learning during the pandemic and continues after the pandemic, but its implementation has never been evaluated. The aim of this research is to assess the context, input, process and product (CIPP) of e-learning at the Faculty of Engineering, Batam University. This research uses a quantitative and qualitative approach (mixed research) by distributing questionnaires to lecturers and students of study programs within the Faculty of Engineering, Batam University. Based on research conducted by evaluating E-Learning from the context aspect, both lecturers and students gave very good responses so it needs to be maintained. Furthermore, from the input aspect it provides a very good response, therefore it needs to be maintained and improved. The response from lecturers for the process aspect is in the very good category, while the response from students is in the good category, so the process element needs to be improved. Assessment of the product aspect shows that E-Learning at the Faculty of Engineering, Batam University must be improved.

PENYULUHAN DAN PENANAMAN BIBIT-BIBIT DURIAN PADA LAHAN KRITIS DI DESA CURUG, KOTA BOGOR

The region in Indonesia is indicated to have many critical lands. Critical lands are lands that have experienced degradation so that the land cannot function properly. In other words, efforts to obtain benefits from the level of productivity that should not be comparable to the results of production. Therefore, efforts must be made to improve the land so that its productivity can recover. In the Curug sub-district, Bogor City, there are critical lands. This critical land is caused by steep land topology and high rainfall. One of the critical land areas is the Curug River watershed. The slope of the land on the side of the river exceeds a slope of 45º. High rainfall causes the land to experience cracks accompanied by subsidence of the land surface. One of the handling efforts that can be carried out on an ongoing basis is integrated reforestation. Based on these problems, the aim of this community service (PKM) is to provide education regarding the dangers of critical land and cultivating critical land with durian seeds. This activity was carried out by a team consisting of source persons, lecturers and students from the Faculty of Earth and Energy Technology, Trisakti University. The PKM activity was attended by the Head of RW 13 and the Head of RT 3 in Curug Village and their staff. Apart from that, the PKM was attended by the men and women of RT 3 residents who actively participated in counseling activities and planting durian seeds along the areas along the river and other areas.

The Influence Analysis of Marketing Mix on Customer Satisfaction “X” Books Store in the Faculty of Engineering, University Oo Sam Ratulangi Manado

Marketing mix or marketing mix is a set of marketing tools that companies use continuously to achieve their marketing goals in accordance with the market or target. The purpose of this study was to determine the effect of product, price, place, and promotion on customer satisfaction of “X” Books Store at the Faculty of Engineering, Sam Ratulangi University Manado. The type of research used in this research is quantitative with an explanatory research approach. Data collection was carried out by filling out questionnaires by respondents. The population of this study were students of the Department of Civil Engineering and Architecture totaling 1196, of which a sample of 93 students was taken based on the slovin calculation. Data analysis was carried out using Coefficient of Determination, and Ttest. Simultaneously using the Coefficient of Determination test, the 4P variables, namely product, price, place, and promotion, have an effect on customer satisfaction at the X “Books Store at the Faculty of Engineering, Sam Ratulangi University Manado with a percentage of 39.6%. Based on the Pasal test using the T test, the 4P variable hypothesis, namely product and promotion, does not have a significant effect on customer satisfaction with a percentage of 12% and 10.5%. Meanwhile, price and place have a significant effect on customer satisfaction with a percentage of 26.7% and 35.1% at the Faculty of Engineering, Sam Ratulangi University Manado. This research has implications for the importance of effective marketing mix management at “X” Books Store in order to increase customer satisfaction.

Peritoneal Tuberculosis Presenting as Chronic Ascites with Scrofula: A Case Report

Bacteria are one of the factors that cause skin infections. Staphylococcus aureus was the most prevalent type, and because of the frequent use of antibacterial, many of them have become resistant. From this principle, this study was conducted at the Faculty of Medical Technology, Islamic University, from January 2023 to May 2023, and the aim of the study is to investigate and detect bacteria that cause skin infections and test the antifungal synergy of with the antibacterials. the results show (Staphylococcus aureus 45%, Escherichia coli,35%, pseudomonas aeruginosa 8%, Staphylococcus epidermidis 5%, klebsiella pneumoniae %4 and proteus mirabilis 1%) and it is necessary to test new antibiotic. The combination of the antifungal itraconazole with the antibacterial amoxicillin, norfloxacin and trimethoprim was tested, and some results gave a higher effect compared to the antibacterial. It is possible to use these synergies for skin infections, and we conclude that the anti-fungal has an effect on the bacteria when it is mixed with other antibiotics.

Field Study of Vegetated Channel at UTHM Campus

A vegetated channel refers to a form of infrastructure that aims to mitigate stormwater runoff through the utilization of either natural or constructed systems that replicate the behavior observed in natural environments. The condition of the vegetated channel has the potential to influence the hydraulic behavior of the channel. The regulation of stormwater quantity in the management of drainage systems is influenced by the characteristics of the vegetated channel. Field data was gathered from a channel located in the parking lot of the Faculty of Civil Engineering and Built Environment at the University Tun Hussien Onn Malaysia (UTHM) campus. The purpose of this data collection was to assess the influence of various sectional circumstances on the velocity profile. The measurement of stream flow velocity is conducted by the utilization of current meter equipment during field investigation. The Manning's coefficient for each section was analyzed to assess the impact of variations in this parameter on the flow rate of the channel. In accordance with the results obtained, the coefficient value of Manning's ranged from 0.160 to 0.826. The velocity offlow in the vegetated channel ranged from 0.003 m/s to 0.010 m/s. In the interim, the flow discharge magnitude for the channel exhibits variability within the range of 0.0005 m3/s to 0.002 m3/s. This study examines the impact of bed surface condition, channel slope, and Manning's coefficient on flow rate. Therefore, the flow rate and Manning's coefficient were found to be impacted by both the bed condition and the slope of the channel.

Dynamic modelling and optimal operation of the photovoltaic/thermal

This paper aims to introduce a dynamic model for a photovoltaic/thermal system, highlighting an approach and synthesis of existing dynamic models to depict the full photovoltaic/thermal system. The model was validated using data from an experimental setup at the Institute of Energy Technology, Faculty of Energy Technology, University of Maribor, under different weather conditions. The model's accuracy was assessed through normalized Root Mean Square Error, normalized Mean Bias Error, Correlation Coefficient, and the coefficient of determination error metrics, focusing on the temperature and electrical output power of the photovoltaic/thermal modules, as well as the temperature of the thermal energy storage tank. Furthermore, the paper also focuses on the optimal operation of the photovoltaic/thermal system under different mass flow rates of the working medium.

Wave height reduction through the under surface pipe structure model

The model of the subsurface pipe structure is designed as a reducer of the height of an incident wave generated. Part of the wave will be reflected, and some will be transmitted through the pipe structure. Experiments on the calculation of reflection and transmission coefficients on the subsurface pipe structure model were carried out with variations in the depth of water in the flume. This experimental study aims to determine the effect of changes in incident waves on variations in water depth above the subsurface pipe structure (d-h = 0.0h; 0.1h; 0.2h). This research was conducted at the Hydraulics Laboratory of the Department of Civil Engineering, Faculty of Engineering, Hasanuddin University. Experimental laboratory research method using a wave generator flume with the characteristics of the generated waves consisting of 3 variations of the period (T=1.0 seconds, T=1.1 seconds, T=1.2 seconds) with three variations of water depth (d) which used, i.e., d=1.0h; d=1,1h and d=1,2h, where h is the height of the pipe structure. The results of this study indicate that the deeper water above the structure, the smaller the reflection coefficient and the greater the transmission coefficient.

IMPLEMENTATION OF THE DECISION TREE METHOD PREDICTING STUDENT GRADUATION ON TIME WITH C5.0 ALGORITHM

The percentage of students who graduate on time is one of the benchmarks for assessing a university's accreditation. To get good accreditation results, it is necessary to predict the graduation rate using a method so that students can anticipate delays in graduating. The C5.0 algorithm is a Decision Tree based algorithm which is a refinement of the ID3 and C4.5 algorithms created by Ross Quinlan in 1987. In this research, researchers analyzed several variables used in the input variables, there are several variables used, namely the SKS variable, Academic Leave, Student Status, Relationship/Communication with Family, Interests and Talents, Family Economics, Relationship/Communication with Lecturers, Number of Revisions, Final Assignment Material or Method. Meanwhile, in the target variable there is the Study Period. The aim of this research is to obtain the results of the implementation of graduation predictions for Strata 1 (S1) Mathematics Study Program students, Faculty of Science and Technology, UIN North Sumatra Medan using the C5.0 Decision Tree Algorithm. There are several steps taken, namely data preprocessing, data division, calculating information gain for the entire case, calculating information gain and entropy for each attribute. Calculate the total entropy and Gain value of each attribute, create a branch from each root node category, if the result of the branch becomes an internal node, the process is carried out until the attribute categories cannot be split. After carrying out the analysis, the accuracy rate was 82.81%. With a high level of accuracy, it can be developed into a rule that can provide predictions or input in making decisions about whether students will graduate on time

Investigation into the impact of certain leaf extracts derived from Inula viscosa L. on various strains of pathogenic bacteria in poultry

The study was designed to investigate the efficacy of acetone, ethanol, hexane, diethyl ether, and aqueous extracts from clay plants against four pathogenic bacteria commonly found in poultry: Escherichia coli, Streptococcus aureus, Pseudomonas aeruginosa, and Clostridium perfringens. The research took place in the microbiology and drug laboratories of the Faculty of Pharmacy at the University of Tartous, as well as the microbiology laboratory at the Faculty of Agricultural Engineering at Tishreen University. Tayon plant leaves were harvested in October and November of 2021 from the Safita region, dried, and stored for future use. The susceptibility tests were carried out on the four bacteria under investigation using the five different extracts. The findings revealed that Escherichia coli, Streptococcus aureus, Pseudomonas aeruginosa, and Clostridium perfringens were all impacted by the extracts, except for Escherichia coli which displayed resistance to acetone, ethanol, hexane, and diethyl ether extracts, but not to the aqueous extract. Pseudomonas aeruginosa also exhibited resistance to the diethyl ether extract at concentrations of 20 and 40 μl, with no inhibition zone observed. At a concentration of 80 μl, the largest average diameter of the bacterial growth inhibition zone was observed for the acetone extract (4.82, 24.95, 15.41, and 22.14 mm), ethanol (9.32, 28.11, 22.98, and 29.24 mm), hexane (6.42, 18.91, 13.23, and 17.47 mm), diethyl ether (9.33, 21.22, 9.56, and 18.75 mm), and aqueous extract (23.45, 26.22, 15.71, and 24.12 mm), respectively, in comparison to concentrations of 20 and 40 microliters and the control. These results suggest that the plant leaf extracts possess antimicrobial properties against the pathogenic bacterial strains tested, indicating their potential as natural sources of antibiotics in the future.

Learn English With Artificial Intelligence (Sosialisasi Pemanfaatan Teknologi Kecerdasan Buatan (AI) dalam Belajar Bahasa Inggris)

The community service activity "Learn English With Artificial Intelligence" at Islamic Village Vocational School, led by lecturers from the Informatics Engineering Study Program, Faculty of Engineering, Muhammadiyah University of Tangerang (UMT), aims to integrate artificial intelligence (AI) technology in English language learning. This activity succeeded in increasing understanding of the concept of AI and its benefits in education, motivating students to study English more intensely, and increasing the effectiveness of learning through AI applications such as Duolingo and Grammarly. provide regular training for teachers, encourage collaboration between schools, and conduct further research to measure the long-term impact of using AI in education. Thus, the success of this activity is not only in achieving the set educational goals, but also in expanding the boundaries of innovation in ways of learning English and the potential for further development in the increasingly connected and digital context of modern education. supporting education at the Islamic Village Vocational School.

INFORMATION SEEKING BEHAVIOUR OF LECTURERS IN THE FACULTY OF ENGINEERING, UNIVERSITY OF MAIDUGURI, BORNO STATE, NIGERIA

The study investigated the information seeking behavior of lecturers in the Faculty of Engineering, University of Maiduguri, Borno State. The objectives were to find out their sources of information of the lecturers; determine their information needs, their information seeking methods and identify the problems militating against availability and accessibility of information by the lecturers. The population of the study was 178 lecturers from the faculty, which informed the use of total enumeration to draw the sample. Questionnaire was used for data gathering while data collected were analysed using histogram and percentage. It recommended that Management of the University of Maiduguri should improve on its Internet facilities to assist faculties in their search for information; provide more books and journals (electronic and print), to aid faculties’ academic and research needs. In addition, the library should provide both online and offline databases for their consultation and use, among others.

Machine Learning to Predict Student Satisfaction Level Using KNN Method and Naive Bayes Method

This research aims to apply machine learning techniques in classifying student satisfaction levels at the Faculty of Science and Technology, using the K-Nearest Neighbors (KNN) and Naive Bayes methods. This method was chosen because of its ability to manage classification data and provide accurate predictions regarding student satisfaction with the faculty. It is hoped that this research will provide a deeper understanding of the factors that influence student satisfaction as well as the potential for developing a better evaluation system in the future. This research was carried out through structured stages, starting from selecting the right data to collect relevant information, designing the model by applying the KNN and Naive Bayes methods, to evaluating the performance of the model being built. The data used consisted of 110 student data, where the classification results showed that 104 students were satisfied and 6 other students were dissatisfied with the faculty. The evaluation process produced excellent accuracy, with the Test and Score results and confusion matrix showing an accuracy level exceeding 90%. In conclusion, this research succeeded in showing that the KNN and Naive Bayes methods were effective in classifying the level of student satisfaction at the Faculty of Science and Technology. The results obtained confirm that both methods are reliable in managing and analyzing student satisfaction data efficiently, and provide valuable insights for educational institutions to improve student services and experiences in the future

Evaluation of the Level of Awareness and Knowledge of Self-Examination and Mammography Examination among a Group of Libyan Women in Misurata City

Cancer is one of the significant public health problems in the world. Also, breast cancer is a malignant cell, which may start in the breast tissue. Breast self-examination (BSE) is a simple, non-invasive, and low-cost, to detect any changes in breast tissue at an early time. This study aims to assess the awareness and knowledge of BSE and mammography examination among females with different levels of education in city of Misurata-Libya. This study used validated questionnaire divided into two sections. The data collection was from December 2021 to May 2022. 550 questionnaires were distributed to adult volunteers who attending an out-patient clinic at a hospital clinic and/or students and teaching staff at Faculty of medical technology in Misurata. There was a high return rate with 460 (83.63%) returned in total. Statistical analyses were performed using the Statistical Package for the Social Sciences, version 24 (IBM, Armonk NY). Statistical significance was set at p < 0.05. The study showed that 14.8% of the participants practiced BSE practice as a monthly routine. However, the majority of respondents 251 (54.6%) in this study were rarely do the BSE practice. 92.17% of participants had very low knowledge about the mammography examination. The results of this study have demonstrated the extremely low level of awareness of breast mammography examination and performing BSE was particularly low among Misurata Libyan woman community.

Experimental Study of the Relationship between Slope and Opening Height of OWC Type Wave Breaker Model on Wave Reflection

Breakwater is a very effective wave dampening building to be used as a coastal protection against coastal abrasion by destroying wave energy before it reaches the coast. The working mechanism of the OWC type is the rise and fall of ocean waves which will push the air in the OWC column, then will rotate the turbine connected to the generator to produce electricity. This study aims to determine the effect of slope and opening height on breakwater on wave reflection. Then analyze the parameters that affect the amount of wave reflection and compare the resulting wave parameters. This research was conducted at the Hydraulics Laboratory, Department of Civil Engineering, Faculty of Engineering, Hasanuddin University. The method used was experimental based. The resulting wave characteristics consist of three depth variations, three period variations and three stroke variations. The research model used is an Oscillating Water Column (OWC) type breakwater with slope variations of 45°, 60° and 90° and open wall variations as high as 5 cm, 10 cm and 15 cm. The reading of the water level fluctuation is done electronically through the reading of the wave monitor. The results showed that the magnitude of the reflection coefficient is influenced by structural parameters, namely the slope and height of the model opening and hydraulic parameters, namely depth, period and wave height. The effect of the model slope on the reflection coefficient is that the greater the slope, the greater the reflection coefficient value. The effect of the model opening height is that the greater the opening height, the smaller the reflection coefficient value.

Freshmen: Incentive to Participate in Research Activities in Laboratories at The Faculty of Mechanical Engineering of UFPA

Objective: This work aims to analyze the impacts of the participation of freshmen of the Mechanical Engineering course of the Federal University of Pará in research projects and in the preparation of scientific articles. This approach seeks to encourage the insertion of these students in laboratory activities, promoting their academic and scientific development since the beginning of the course. Theoretical Framework: Entry to university brings many challenges. Therefore, the practice of activities that inhibit academic evasion are beneficial for the scientific environment and labor market, by acting in the development of new professionals. Method: Freshmen of the Mechanical Engineering course were invited to experimental activities in order to encourage them to research and inclusion in academia, acting in the production of scientific articles for the Brazilian Symposium for the Progress of Science (SBPC)for its 75th Annual Meeting of 2023. Results and Discussion: Initially 22 students participated in the project, however only 5 remained until the end, resulting in 5 work submissions. In addition, it was verified the insertion of a portion of the students who gave up the project in other laboratories of the Faculty of Mechanical Engineering. Research Implications: Affirmative actions that promote student integration are beneficial, providing opportunities for teamwork, knowledge sharing and appreciation of inclusion in the academic environment. Originality/Value: This type of incentive has a significant impact on the academic and professional life of the students involved, favoring curricular complementation for those who wish to follow postgraduate courses, or in the engineering job market.

The Potential of Using Artificial Intelligence (AI) to Analyse the Impact of Construction Industry on the Carbon Footprint

AbstractConstruction is an important sector of human activity that significantly impacts the environment. The impact of this sector can be analysed from different perspectives, such as consumption of natural resources, waste generation, energy intensity, and environmental change. The sector is increasingly promoting using renewable materials, energy-efficient practices, and planning those respects ecological processes and biodiversity. Against this background, it is important to take coordinated action across the sector and move to net-zero carbon standards through immediate action to raise awareness, implement innovation, and improve carbon management and reporting processes. Tools supporting the reduction of the adverse impacts of construction activities include artificial intelligence tools. The construction industry has long been considered a conservative and traditional industry but is now experiencing a technological revolution. Gradually, artificial intelligence (AI) principles and tools are beginning to be integrated into the various lifecycle processes of construction projects. This paper analyses the AI tools used to analyse carbon footprinting in the construction sector in terms of selected functionalities. The results of the research will form the basis for the development of a strategic plan for the development of AI within the research activities at the Faculty of Civil Engineering in Košice.

Analisis Klasifikasi Konsentrasi Mahasiswa Menggunakan Algoritma K-Nearest Neighbor

Hamzanwadi University located in West Nusa Tenggara boasts a Faculty of Engineering, which plays a pivotal role in delivering top-notch higher education. This faculty offers four highly coveted programs—Informatics Engineering, Information Systems, Computer Engineering, and Environmental Engineering—that attract a significant number of students. The increase in enrollment in these programs underscores the faculty's success, particularly owing to the promising job opportunities in these fields. Nevertheless, students often encounter intricate challenges when selecting their area of specialization that resonates with their interests and capabilities. In addressing this concern, the Faculty of Engineering at Hamzanwadi University provides diverse concentration options like Data Science, RPL, and Multimedia. To aid students in making informed decisions regarding their study concentration, this study employs the K-Nearest Neighbor (KNN) algorithm to analyze the classification of student concentrations. This research adopts an experimental approach and utilizes data collection methods such as observation, interviews, and surveys. The dataset comprises seven attributes including NIM, Gender, GPA, Data Science Course Grade, RPL Course Grade, and Multimedia Course Grade, processed using the KNN algorithm through Google Colab. The research outcomes reveal that with k=2 and 8-fold cross-validation, the achieved accuracy stands at 67%.

Introducing Security Mechanisms in OpenFog-Compliant Smart Buildings

Designing smart building IoT applications is a complex task. It requires efficiently integrating a broad number of heterogeneous, low-resource devices that adopt lightweight strategies. IoT frameworks, especially if they are standard-based, may help designers to scaffold the applications. OpenFog, established as IEEE 1934 standard, promotes the use of free open source (FOS) technologies and has been identified for use in smart buildings. However, smart building systems may present vulnerabilities, which can put their integrity at risk. Adopting state-of-the-art security mechanisms in this domain is critical but not trivial. It complicates the design and operation of the applications, increasing the cost of the deployed systems. In addition, difficulties may arise in finding qualified cybersecurity personnel. OpenFog identifies the security requirements of the applications, although it does not describe clearly how to implement them. This article presents a scalable architecture, based on the OpenFog reference architecture, to provide security by design in buildings of different sizes. It adopts FOS technologies over low-cost IoT devices. Moreover, it presents guidelines to help developers create secure applications, even if they are not security experts. It also proposes a selection of technologies in different layers to achieve the security dimensions defined in the X.805 ITU-T recommendation. A proof-of-concept Indoor Environment Quality (IEQ) system, based on low-cost smart nodes, was deployed in the Faculty of Engineering of Vitoria-Gasteiz to illustrate the implementation of the presented approach. The operation of the IEQ system was analyzed using software tools frequently used to find vulnerabilities in IoT applications. The use of state-of-the-art security mechanisms such as encryption, certificates, protocol selection and network partitioning/configuration in the OpenFog-based architecture improves smart building security.

Professional Competencies in Internship in Work-Based Learning Setting

The main objective of this study was to find a model of internship in the context of Work-based learning in order to improve professional competencies for prospective teachers who must have 4 competencies (pedagogical, personality, social, and professional). The research was designed in stages by using the Research and Development (R & D) approach. The respondents of this research are students of the Faculty of Engineering, Universitas Negeri Semarang and the manager of the industrial work practice program. The results of the study found a model of the contextual employment practice of work-based learning in order to improve professional competence for prospective teachers. The analysis of the discussion shows the variety of readiness, attitudes, and quality of learning in the place of internship, so it needs to do the more further analysis so that students are better prepared in preparing themselves to participate in industrial work practice programs. In addition, the management of Internship has not used a model in the context of work-based learning, as expressed by the head of the fieldwork group of the Faculty of Engineering, Universitas Negeri Semarang. The implications of the findings of this model can be in line with the programs that have been prepared in the management of internship with an emphasis on work-based learning, which is expected to improve the professional competence of prospective ex-LPTK teachers.

Perception of the Importance of Professional Communication among Civil Engineering Students

This paper aims to find out the attitudes and perceptions of civil engineering students about the importance of professional communication and their current and future competencies. In addition, this work aims to investigate their interest in courses on communication skills. For this research, a quantitative research method was used - an online survey. The research sample consists of 109 students of all years of undergraduate and graduate studies in Civil Engineering at the Faculty of Civil Engineering, Architecture, and Geodesy in Split. The work is based on three hypotheses that were tested with non-parametric statistical tests after the research was carried out. The results of the research rejected the first hypothesis that students of higher years of civil engineering studies consider professional communication skills more important for work in industry compared to students of lower years of studies. Furthermore, this research determined that there is a statistically significant correlation between the ratings of the importance of professional communication among civil engineering students and the ratings of their communication skills and that there is a statistically significant correlation between civil engineering students who show a preference for communication skills and interest in attending courses in the field of communication.