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Proceeding International Applied Business and Engineering Conference
Published by ABEC: Konsorsium Politeknik Se-Sumatra
ISSN : -     EISSN : 27984664     DOI : -
Core Subject : Religion, Economy, Humanities, Science, Education, Agriculture, Social, Engineering,
Religion Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Social Sciences Transportation Other
Proceedings of the Sumatra Polytechnic conference, scope: electrical engineering, mechanical engineering, computer engineering, civil engineering, social sciences, business administration, accounting, English, agriculture, tourism
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 79 Documents
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The Relationship of Product Design Quality and User Satisfaction for Academic Potential Tests Simulation Mobile Application Development with User-Centered Design Anggy Trisnadoli; Istianah Muslim; Indah Lestari; Adella Syafira
International ABEC Vol. 2 (2022): Proceeding International Applied Business and Engineering Conference 2022
Publisher : International ABEC

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Abstract

In developing a user-centered software, there are various things that need to be considered, such as expectations for better development, as well as quite different stages of work. One method that can be used to develop software that is in accordance with the user’s expectation is User-Centered Design (UCD), this method is proven to have produced a software that is believed to have a good quality value. The Academic Potential Test Mobile Application is a mobile-based application that can be used as a simulation to assess and measure the value of a person's academic potential. This mobile application was developed specifically to be used as a supporter in the New Student Admission process at Politeknik Caltex Riau. This mobile application is developed using the user-centred design method, by using this method the application product is also expected to have a good value. User satisfaction is an absolute opinion given by application users shortly after they use the application, although it is of good value in terms of product quality, sometimes user satisfaction is neglected. It is necessary to keep measuring user satisfaction even though the product quality value has been declared good. Another study shows that there is a relationship between the value of product quality and the value of user satisfaction for desktop application. So, in this research we would like to prove the relationship between those two variables, in the development of mobile applications then it will become a reference for other developers in developing a mobile application with User-Centered Design method.
Experimental Study of the Effect of Crude Palm Oil (Non-Newtonian Fluid) Viscosity on Increasing Flowrate Capacity Bela Amelia; Amnur Akhyan
International ABEC Vol. 2 (2022): Proceeding International Applied Business and Engineering Conference 2022
Publisher : International ABEC

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Abstract

: Crude Palm Oil's viscosity level is very influential in the distribution in palm oil mills. This research shows that the high temperature will cause the viscosity to decrease. The force given to Crude Palm Oil can also reduce its viscosity levels. This proves that Crude Palm Oil is a Non-Newtonian fluid. This test shows that Crude Palm Oil with a temperature below 60°C has a discharge that is still changing from the first minute to the third minute. Meanwhile, Crude Palm Oil with a temperature above 60°C has a discharge that does not change after the first minute. From this, it can be concluded that 60°C is the best temperature for palm oil mills in the distribution of Crude Palm Oil.
Application of Microservice Architecture in the Development of Website-Based Drainage System for Rumbai Area (Case Study: PUPR Service Pekanbaru) Deanira Fadrinaldi; Shumaya Resty Ramadhani; Retno Tri Wahyuni
International ABEC Vol. 2 (2022): Proceeding International Applied Business and Engineering Conference 2022
Publisher : International ABEC

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Abstract

Flood has always been an annual problem that hit most of the areas in Indonesia including Pekanbaru. According to the city's official website, there are 375 flood-prone points, and several roads have poor drainage systems. This is what triggers a large number of flood and damaged drainage reports by the public community per day. The management of the public's complaint data will need a significant amount of time and effort from the community and government staff. Additionally, errors and the risk of data loss in archiving public complaints reports are prone to occur because the flood complaint data is kept in hardcopy in the file cabinet. However, information regarding the details of the drainage system is still not fully available in the PUPR Office database. Hence, this research made a system with microservice architecture which is divided into 4 services: a backend service to handle user authentication, a backend service to manage public community’s complaint data, a backend service to provide drainage monitoring data, and a frontend admin service. This website application will be named DRAINIT. This web application will only have one user level, admin, and will be managed by the Pekanbaru PUPR service officer. According to the test that has been conducted, namely unit testing, integration testing, and user acceptance testing, this web application is thought to have successfully met the requirements requested by Pekanbaru's PUPR service which are to records public complaints reports, see GIS- based drainage network, and see drainage monitoring history. This study performed load testing for the performance test, and the results showed that the application could handle 19.3 requests per second.
Mobile Based Rumbai Flood And Broken Drainage Reporting System Using Exteme Programming Aziz Kandias; Shumaya Resty Ramadhani; Retno Tri Wahyuni
International ABEC Vol. 2 (2022): Proceeding International Applied Business and Engineering Conference 2022
Publisher : International ABEC

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Abstract

Floods and broken drainage are often experienced by the community, but only a few people report these cases by reporting directly to the local government which takes a long time because they must report the cases with official letter. Besides that, most people do not know where and how to report cases of flood and broken drainage. On the other hand, Pekanbaru Public Works Agency (PUPR) handles, and updates reports through internal WhatsApp group so that report updates are not stored in a structured way and public community cannot see the updates directly. Because of the problem above a system is needed to handle the problem, the system that is going to be created implemented extreme programming methodology and built with flutter for fastest development that covering both IOS and Android devices and expected to facilitate easy access and speeds up the process for creating reports from the public community and the PUPR officer to flood or broken drainage and could provide and record up-to-date data and status of the reports. Based on the results of testing, that is unit, integration and black box testing found that the functionality of the system was going well. Then, for usability testing with the SUS method, the results were 78. Based on the usability testing, it can be concluded that the system that has been created is categorize as good acceptable and it can help public community to simply create flood and broken drainage report also provide the up-to-date report of submitted report.
Object Detection And Monitor System For Building Security Based On Internet Of Things (IoT) Using Illumination Invariant Face Recognition Ivan Chatisa; Yoanda Alim Syahbana; Agus Urip Ari Wibowo
International ABEC Vol. 2 (2022): Proceeding International Applied Business and Engineering Conference 2022
Publisher : International ABEC

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (688.688 KB)

Abstract

Theft, burglary and intrusion are criminal acts that often occur in the environment when there are opportunity or negligence made by the owner and security officers. Many studies have been carried out to improve environmental security by applying cameras as a surveillance medium. However, the camera is still not optimal at detecting objects if the environment is in poor lighting conditions (dark). Therefore, in this study, a monitoring and object detection system was built by applying the Illumination Invariant model. Illumination Invariant model that is used to improve the appearance of object images from light and shadow reflections. In this study, the detection process and objects are carried out using human facial features captured by the camera. The camera used is a Logitec C270 Webcam HD 720p via the USB port on the Raspberry Pi. Raspberry Pi processes human face image data and sends the results of data processing to a MySQL database using the HTTP Protocol. The process of sending data is done with the concept of API (Application Programming Interface) using Python Flask. In this study, all tests were carried out on the system using black box testing techniques with the results of the functional requirements being successfully executed 100%. In this study, testing the object detection feature based on different lighting conditions. The test was carried out 15 times by comparing the original image and the results of the implementation of the Illumination Invariant model. Based on the test results by applying the illumination of the Invariant model, the quality of object detection accuracy is 86.7%.
The Effect of Bending Strength of Concrete Using Machine Crushed Fine Aggregate Enita Suardi; Mukhlis; Oni Guspari; Illona Giovanni; Ila Putri Yani
International ABEC Vol. 2 (2022): Proceeding International Applied Business and Engineering Conference 2022
Publisher : International ABEC

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Abstract

Concrete is a mixture of Portland cement or other hydraulic cement, fine aggregate, coarse aggregate, and water with or without additives to form a solid mass. Cement concrete pavement is a pavement construction with aggregate as raw material and uses cement as a binding material, so it has a relatively high level of rigidity, especially when compared to asphalt pavement. The fine aggregate commonly used is natural fine aggregate. Due to the increasing use of fine aggregate in construction so as to obtain the fine aggregate by means of sand mining, ecological damage in some areas. Therefore, the use of natural fine aggregate can be replaced with machine crushed aggregate. Based on this, this study aims to determine the maximum compressive strength of concrete, maximum flexural strength of concrete blocks using a mixture of machined aggregate percentage. The research method was carried out with 15cm x 15cm x 60cm beams. Variation of the test specimen mixture is a mixture that meets the maximum combined gradation limit of 30mm. Flexural strength testing was carried out at the age of 56 days. The highest flexural strength test results are found in variation 2, which is 4.85 MPa.
Implementation of Data Mining Clustering Using the K-Means Method in Grouping Library Books Maria Ulfah; Andi Sri Irtawty
International ABEC Vol. 2 (2022): Proceeding International Applied Business and Engineering Conference 2022
Publisher : International ABEC

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Abstract

The K-Means algorithm is an iterative grouping algorithm in partitioning the data set into a number of clusters that have been set at the beginning. The formulation of the problem in this study is how to apply Data Mining with the K-Means clustering algorithm to find solutions in adding types of reading books that students are interested in. The application of the K-Means Algorithm aims to assist the librarian in classifying the data on borrowing books that students really like or are interested in. In the k-means algorithm, it can analyze more deeply by processing book lending transaction data with results that explain various information - information about the distribution of the intensity of borrowing a book so that the information from the processing results can help the library to determine the addition of a collection of books that are right on target. which is then processed using Rapid Miner. This provides benefits for the Politeknik Negeri Balikpapan Library in the plan to increase the collection of reading books in the library. The final results of the research are 107 book titles with a borrowing frequency of 231 times in the period 2019-June 2022. The test is carried out by finding the smallest value of the Davies Bouldin Index (DBI) where after the data is processed it is known that the smallest value is 0.407 with a total of 3 clusters. It was concluded that scores with the Highest, Medium and Low Clusters were obtained in the grouping of library books, namely the Highest Cluster with the number of book data being 2 titles, namely Teknologi Beton, teori dan Praktik Hotel Front Office. These two types of books are the most borrowed so that they can be recommended to be proposed in the procurement of library book collections. Medium cluster with 23 book titles and low cluster with 82 book titles.
Early Detection Of Alzheimer Disease In Elderly Web-Based Using Support Vector Machine Classification Method Juni Nurma Sari; Syaparudin BS; Kartina Diah KW; Puja Hanifah
International ABEC Vol. 2 (2022): Proceeding International Applied Business and Engineering Conference 2022
Publisher : International ABEC

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Abstract

Alzheimer's disease is characterized by dimentia diseases that usually begin with a decrease in memory. The number of people in around the world with dimentia diseases is estimated to reach 47.5 million and is increased to quadruple by 2050. The risk factors that make someone exposed Alzheimer's disease are aging, alcohol consumption, anterosclerosis, diabetes mellitus, down syndrome, genetics, hypertension, depression, and smoking. Aging is the biggest risk factor for Alzheimer's disease. People with age 65 years and over have a higher risk. Therefore, it is important to early detect Alzheimer's disease in order to start planning adequate care and medical needs. This study aims to create a web-based system for early detection of Alzheimer's disease in the elderly using support vector machine classification. Detection of Alzheimer's disease using the metric Mini Mental State Examination (MMSE) and Clinical Dementia Rating (CDR) obtained through questionnaires to find out about cognitive function, thinking ability and ability to perform daily tasks. Classification is carried out using the Support Vector Machine (SVM) algorithm. Alzheimer's classification testing uses a confusion matrix with an accuracy value of 85%. For system testing carried out User Acceptance Test with general practitioner, the results were obtained that all the features and functions of the system had run as expected.
Peat Soil Temperature Monitoring System With IoT Technology Hatta Zulkifli; Agus Urip Ari Wibowo; Memen Akbar
International ABEC Vol. 2 (2022): Proceeding International Applied Business and Engineering Conference 2022
Publisher : International ABEC

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Abstract

Peat soil is a soil element that is very susceptible to burning if it is dry and when burned peat will be synonymous with giving rise to dense smoke and giving rise to embers. Prevention has been carried out so far by building a monitoring tower to see the condition of a peatland from a certain height, but because this is done by humans, there will certainly be limitations in monitoring quickly and precisely. By utilizing the development of Internet of Things technology, a solution that can be done by building a system called Silahan Gambut (SILAGA), where this system has been tested on peatlands using the DB18S20 sensor calibrated with a DHT 22 sensor Using Internet of Things technology, it has been successfully monitored in real time the condition of a peatland that has the potential to burn. The results of the sensor data are managed using MongoDB noSQL so that the data obtained is well managed on peat soils at a certain time, condition and region.
Hotpoint Monitoring System Power Cable Termination Based On Internet of Things (IoT) Using Telegram Bot Muhammad Syahri; Agus Urip Ari Wibowo; Dadang Syarif Sihabudin Sahid
International ABEC Vol. 2 (2022): Proceeding International Applied Business and Engineering Conference 2022
Publisher : International ABEC

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Abstract

Electricity is energy that is needed in any field, both industry and ordinary people. To be able to produce good quality electrical energy, it is necessary to monitor and maintain electrical power equipment to prevent equipment damage that can interfere with the electrical energy distribution system to consumers. One of the disturbances that are often experienced is the Hotpoint at the terminal connection section between the conductor cable and the equipment at the substation. Hotpoint is an increase in the production of acoustic pulses (sound) and an increase in temperature that causes energy dissipation resulting in the heating of a localized area. This Hotpoint will cause damage to the equipment if it occurs for a long time. In this research, a Hotpoint monitoring system for 20 kV power cable termination based on the Internet of Things was built to monitor the temperature condition of the 20 kV power cable termination in real-time. This system uses the MLX90640 IR Thermal Camera sensor as the cable termination temperature gauge and the DHT22 temperature sensor to measure the 20 kV cubicle panel temperature. This temperature value will be compared to determine whether there is a Hotpoint at the termination of the 20 kV power cable. This system uses a MySQL database and HTTP protocol for communication between the Raspberry Pi4 and the website dashboard, then for notifications using the Telegram bot. The sensor accuracy test is carried out by comparing the temperature value between the DHT22 sensor and the Hygrometer with an average measurement value difference of -1.7%, while the MLX90640 and Fluke Ir 568 sensor accuracy tests have an average measurement value difference of -1.13%°C. Based on the sensor accuracy testing, it can be concluded that all sensors have a fairly good performance in measuring the required temperature parameters.

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