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<![CDATA[Financial Incentives and Students Achievement: A Qualitative Study on Students' Success in Engineering Program ]]>
<![CDATA[NUR HIDAYAH MOHAMED YUNUS]]>;
<![CDATA[TS. DR. AINI NAZURA PAIMIN]]>
<![CDATA[ International ABEC 2021: Proceeding International Applied Business and Engineering Conference 2021 ]]>
Publisher : <![CDATA[International ABEC ]]>
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<![CDATA[Issues on retention in higher education have been discussed from variety of perspectives and is complex to be understood. There is an urge need to understand how some engineering students could survive until final year while the others not. Financial incentive is suggested as an important external motivational factor that could influence student’s achievement in the program. These beliefs have led to the use of financial incentives (along with the intrinsic incentives already presumed to be present) to motivate students. This study explores the role of financial incentives in motivating positive emotions of students in collectivist context, Malaysia. The main aim of this study is to qualitatively explore how financial incentive contributes to students’ academic achievement. 24 final year engineering undergraduates were purposely selected from four Malaysian Technical Universities Network (MTUN) who obtaining a CGPA of at least 3.60 and above were selected as research informants. Data were collected using semistructured interviews, integrated with two creative methods namely graph sketching and photo-card activity. Data were analysed using a thematic coding approach and the coding process was assisted using Atlas.Ti software. Findings of the study discussed how education loan and scholarship play role in.]]>
<![CDATA[Face Recognition for an Attendance System ]]>
<![CDATA[Daniel Pamungkas]]>;
<![CDATA[Frederik Mahardika]]>
<![CDATA[ International ABEC 2021: Proceeding International Applied Business and Engineering Conference 2021 ]]>
Publisher : <![CDATA[International ABEC ]]>
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<![CDATA[In the pandemic era, the attendance system needs to be contactless. Moreover, this system needs to be more automatic compare to the existing systems. This paper introduces the visual system using face recognition. The Haar cascade method and Local Binary pattern histogram algorithm is used to recognize the user’s identity. To capture the face, a webcam is used. This system enables detection and identifies the users. It also stores the time that check-in and checks out of the users automatically. The proposed system adequate to detect face up to 55 cm in the low lighting condition. Furthermore, this system enables to detection of multiple users in one frame.]]>
<![CDATA[Development of Real-Time Dissolved Oxygen Optimizer for Caged Fish Farm ]]>
<![CDATA[Mohd Sani Said]]>;
<![CDATA[Muhammad Sufyan Safwan Mohamad Basir]]>;
<![CDATA[Azhar Abdullah]]>
<![CDATA[ International ABEC 2021: Proceeding International Applied Business and Engineering Conference 2021 ]]>
Publisher : <![CDATA[International ABEC ]]>
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<![CDATA[This paper presents the development of real-time dissolved oxygen (DO) optimiser for caged fish farm. The prototype is for maintaining the DO level especially for sea basses, red snappers and groupers. An EZO-DO sensor senses the DO level, which then is sent to an Arduino microcontroller to process the data gathered. The prototype works by triggering the DO water pump if the DO level is less than 3 mg/L, and if the DO level is less than 4.5 mg/L, the paddle wheels will spin. The proposed DO optimiser is powered by a solar panel, hence it is suitable to be implemented in remote areas that are far from lagoon. The proposed DO optimiser is expected to maintain the DO level within 3 – 7 mg/L. Future work will focus on the system performance.]]>
<![CDATA[Synthesis of Materials Al(OH)3 Based on Sand in Batam Island as a Geopolymer for Brick Materials ]]>
<![CDATA[Ulfa Nabilla]]>;
<![CDATA[Dianita Wardani]]>;
<![CDATA[Amnur Akhyan]]>;
<![CDATA[Roni Novison]]>
<![CDATA[ International ABEC 2021: Proceeding International Applied Business and Engineering Conference 2021 ]]>
Publisher : <![CDATA[International ABEC ]]>
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<![CDATA[Bauxite sand is beach sand on the island of Batam which contains a lot of kaolin, this is the result of the FTIR test that has been tested. Kaolin has a good composition of alumina (Al₂O₃) and silica (SiO₂) compounds to produce geopolymer materials for quality building materials. The geopolymer material synthesis process uses materials, namely Batam island bauxite sand, fly ash from burning sugarcane waste, and redmud and then mixed with wet materials such as NaOH and Sodium silica which are varied as much as 7% and 5%. After the geopolymer material, XRD testing was carried out to determine the angle 2 on the geopolymer and continued with the process of making bricks with a mixture of geopolymer and clay materials and then molding them with brick molds manually. The bricks were given curing or heating treatment for 24 hours with temperature variations of 80°C and 90°C then aging or left in the open for 14 days, then the bricks will be tested by testing hardness, compressive strength and impact testing at the Mechanical Engineering workshop Caltex Riau Polytechnic. The results of the tests that have been carried out are found that the compressive strength of the geopolymer brick composition 1 at 90°C is the brick that has the highest compressive strength value of 12.84 kg/cm². Impact testing is to see the toughness value of a material increases the impact value, the object is getting more, in this test geopolymer brick composition 1 + 90°C and geopolymer brick Composition 2 + 80°C are materials that are not or easily brittle with an impact price of 0.0063 J/mm² and 0.0071 J/mm². In the Brinell hardness test, the highest value was found by geopolymer bricks with a composition of 1 + 90°C, after three experiments the average HB value was 83.21. is the highest HB value of other composition geopolymer bricks and ordinary bricks.]]>
<![CDATA[Development of DPB6043 E-Notes Business Project Mobile Applications ]]>
<![CDATA[Habsah Mohamad Sabli]]>;
<![CDATA[Siti Khadijah Sebli Joney]]>;
<![CDATA[Mohamad Shafiq Mohamed Nasaruddin]]>
<![CDATA[ International ABEC 2021: Proceeding International Applied Business and Engineering Conference 2021 ]]>
Publisher : <![CDATA[International ABEC ]]>
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<![CDATA[The Covid-19 pandemic and Movement Control Order (MCO) resulted in the closure of all higher education institutions throughout the country to prevent the spread of this contagious outbreak. The teaching and learning process becomes fully online learning due to this situation. Students living in rural areas face the problem of no internet access. Hence, the purpose of the innovation DPB6043 E-Notes in the form of mobile application to assist students who faced problem with online learning during Covid-19 pandemic. This mobile application was developed using Thunkable and Google Sites based on TAM theory, CBAAM, and ADDIE model. Data were obtained using the survey research method. A total of 33 students from the final semester of Diploma in Business Studies (DPM) program from the Commerce Department, Politeknik Mukah Sarawak participated in the survey. The survey findings further revealed that DPB6043 E-Notes improves students' understanding and is very important for online learning with the highest mean = 4.484. The outcome of this research can benefit the decision-makers of higher institutions in Mukah Sarawak regard to the way to enhance m-learning and promote effective teaching and learning activities as well as strengthening the quality of learning delivery.]]>
<![CDATA[Electronics Diagnose for Jaundice Disease Integrated with Informative SMS Notification: Diagnose Jaundice Expert System (DIJAD) ]]>
<![CDATA[Fazeha Nasya Abd Malik]]>;
<![CDATA[Muhammad Thariq A Razak]]>
<![CDATA[ International ABEC 2021: Proceeding International Applied Business and Engineering Conference 2021 ]]>
Publisher : <![CDATA[International ABEC ]]>
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<![CDATA[Medical expert system is very important nowadays to detect any disease as early as we can. Electronics Diagnose For Jaundice Disease Integrated With Informative SMS Notification: Diagnose Jaundice Expert System (DIJAD) has been designed and developed to help early detection of jaundice by identifying the symptoms statistically after diagnosing the patient, based on the information available in its database. The system is conducted to detect the type of the jaundice faster based on the initial sign or symptom of the disease. It will provide the result of diagnosing jaundice and the nearest clinic via Short Message Service (SMS) to the patient. The interview were conducted to validate the functionality and effectiveness of the DIJAD, two method is used which is user test and system function test. The result indicated that 5 random user 2 doctors agree that the system is user-friendly and easy to use. Other than that, the result from system function test. It can be concluded that the system is fully functioning, and no error occurred. This system uses Forward Chaining method. Forward Chaining is method that is driven by the data where the tracking stars from the observation of the input information and the try to describe the conclusions. DIJAD developed using Hypertext Preprocessor (PHP) for the programming language in conjunction with MySQL as a database system. The outcome of DIJAD able to facilitate community in diagnose early jaundice disease that can save time and give positive impact in our effort to prevent jaundice to become worst.]]>
<![CDATA[Prediction of the Second Transition Point of Tool Wear Phase Using Vibratory Signal Analysis (ZROT) ]]>
<![CDATA[Nur Adilla Kasim]]>;
<![CDATA[Mohd Ghafran Mohamed]]>;
<![CDATA[Mohd Zaki Nuawi]]>
<![CDATA[ International ABEC 2021: Proceeding International Applied Business and Engineering Conference 2021 ]]>
Publisher : <![CDATA[International ABEC ]]>
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<![CDATA[Early intervention to change worn cutting tool before its failure could avoid unexpected machine downtime. A mathematical based predictive model is employed to estimate early tool failure using vibratory signal. The statistical based signal analysis technique as wear tracking analysis is applied in the predictive model to outline the data pattern concerning wear and number of cutting. The signal analysis based on the changes in the vibration signatures that captured from accelerometer during the milling operation throughout the tool life. A significant correlation between the tool flank wear and the statistical index has achieved. The tool life as a function of the acceleration amplitude of assimilated vibrations. Selected curve fitting equations are considered to decide the transition point between the steady state and failure region. The result shows a significant expectation of determining the second transition point with estimate value of 0.235mm below the rapid wear (<0.25mm). The accuracy, reliability and robustness of the predicted transition point were then parallel against another sensing elements where it predicts almost the same transition point. The de-termination of the second transition point will assist the preparation to anticipate the tool to be bro-ken. The results reflected that the model gives reasonable estimation of tool life and the transition points at which changes of the region transpire.]]>
<![CDATA[Mining Student's Reviews to Obtain Their Perception toward College Department Performance ]]>
<![CDATA[Yuliska Yuliska]]>;
<![CDATA[Dini Hidayatul Qudsi]]>;
<![CDATA[Lya Anggraini]]>;
<![CDATA[Juanda Hakim Lubis]]>
<![CDATA[ International ABEC 2021: Proceeding International Applied Business and Engineering Conference 2021 ]]>
Publisher : <![CDATA[International ABEC ]]>
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<![CDATA[Student’s perception toward department performance can be crucial, therefore, it can be used to evaluate the department outcome and take an immediate action to improve its management. This study applies sentiment analysis and topic modeling to the student’s reviews of college department at Politeknik Caltex Riau in order to mine student’s perception for seven college departments performance. Sentiment analysis with Support Vector Machine (SVM) is employed to obtain student’s sentiment. There are 3 types of sentiments to be analyzed; positive, negative and neutral. Topic modeling with Latent Dirichlet Allocation (LDA) is also carried out to get some important keywords in the student’s reviews. Our experiments show that Positive is the most prominent sentiment in the student’s reviews while LDA reveals some important topics toward preferences.]]>
<![CDATA[Detection of Congested Traffic Flow during Road Construction using Improved Background Subtraction with Two Levels RoI Definition ]]>
<![CDATA[Yoanda Alim Syahbana]]>;
<![CDATA[Yasunari Yokota]]>
<![CDATA[ International ABEC 2021: Proceeding International Applied Business and Engineering Conference 2021 ]]>
Publisher : <![CDATA[International ABEC ]]>
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<![CDATA[This study is aimed to detect traffic congestion that may occur during roadblocks of road construction. We improved the background subtraction method by considering Region of Interest (RoI) in the video frame to detect the congestion. The proposed method has experimented with video test material that shows traffic condition in the road construction site. The performance of the proposed method is evaluated using Confusion Matrix by comparing the result of the experiment with ground truth obtained visually. As a benchmarking process, the performance is also compared with the conventional background subtraction method. The result shows that the proposed method can achieve an accuracy of 83.2% for video from the first camera and 82.3% for video from the second camera. In comparison, the conventional background subtraction method only achieves 49.8% for video from the first camera and 0% for video from the second camera. Based on this evaluation, the proposed method can support implementation of efficient traffic control using adaptive traffic light that is equipped with camera.]]>
<![CDATA[The Influence of Financial Ratio on Changes in Profit in Mining Companies Listed on The Indonesia Stock Exchange (Bei) ]]>
<![CDATA[Sastra Karo-Karo]]>;
<![CDATA[Hartono]]>
<![CDATA[ International ABEC 2021: Proceeding International Applied Business and Engineering Conference 2021 ]]>
Publisher : <![CDATA[International ABEC ]]>
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<![CDATA[The purpose of this study was to determine the effect of financial ratios consisting of quick ratio, return on equity, and debt to assets ratio on profit changes in mining companies listed on the Indonesia Stock Exchange. The population in this study were all companies engaged in the coal mining sector which were listed on the Indonesia Stock Exchange until 2019, while the sampling in this study use purposive sampling method with the criteria of coal mining companies that published their financial reports in 2017 to 2019 and have made profits in the 2017 – 2019 financial year period as many as 22 companies. The data testing technique uses multiple linear regression and partial hypothesis testing with a significance level of alpha = 5%. The results of the research show that the financial ratios consisting of the quick ratio, return on equity, and debt to assets ratio has no effect on changes in profits in coal mining companies. In conclusion, this research supports the research conducted by Justina (2015) and Lestari (2020) because Justina and Lestari’s research results showed that financial ratios have no effect on changes in earnings and are contradictory to research done by Prameswari (2018). Prameswari’s research results conclude that the current ratio, debt to equity ratios affects profit growth.]]>
