cover
Contact Name
Mahardika Darmawan Kusuma Wardana
Contact Email
p3i@umsida.ac.id
Phone
+6285646424525
Journal Mail Official
p3i@umsida.ac.id
Editorial Address
Universitas Muhammadiyah Sidoarjo, Jl. Majapahit 666 B, Sidoarjo, East Java Indonesia
Location
Kab. sidoarjo,
Jawa timur
INDONESIA
PELS (Procedia of Engineering and Life Science)
ISSN : -     EISSN : 28072243     DOI : https://doi.org/10.21070/pels
PELS (Procedia of Engineering and Life Science) is an international journal published by Faculty of Science and Technology Universitas Muhammadiyah Sidoarjo. The research article submitted to this online journal will be double blind peer-reviewed (Both reviewer and author remain anonymous to each other). The accepted research articles will be available online following the journal peer-reviewing process. Language used in this journal is Bahasa (Indonesia) or English. Aims and Scope of this journal is science and technology.
Articles 662 Documents
UNIDA AR-Book: Interactive Virtual Application of Darussalam Gontor Campus Putri University Based On Augmented Reality Faisal Reza Pradhana; Dihin Muriyatmoko; Fulki Rusyda
Procedia of Engineering and Life Science Vol 2 (2021): Proceedings of the 3rd Seminar Nasional Sains 2021
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (869.925 KB) | DOI: 10.21070/pels.v2i0.1155

Abstract

Darussalam Gontor University is a newly established campus with fairly rapid infrastructure development. The design of the prototype building using a brochure owned by UNIDA Gontor Putri is considered unable to visually represent the buildings that have been or will be built properly. This study aims to implement Augmented Reality Book (AR-Book) technology as an introduction media and a tool for the layout of campus buildings, as well as a medium for documentation or archives that can be stored in the long term. Building data is obtained from observations by collecting data by observing directly at the location and visualizing in the form of photos or videos taken using cameras and drones. This media is based on android mobile using marker based augmented reality technology to visualize the 3-dimensional shape of the created building object. Media is built following the stages of the Software Development Life Cycle (SDLC) model. Testing is carried out through functional testing of the application using the blackbox method to test the overall function of the features in the application so that it can run well, testing the level of suitability of the application with android devices. The blackbox test results show that all features are functioning properly and there are no errors. Subsequent research this media can be developed into the form of a campus tour by utilizing virtual reality technology.
Customer Data Management Information System And Web-Based Digital Product Sales In CV. IT Brain Indonesia Muhammad Syafri Romadhon; Yulian Findawati
Procedia of Engineering and Life Science Vol 2 (2021): Proceedings of the 3rd Seminar Nasional Sains 2021
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (736.686 KB) | DOI: 10.21070/pels.v2i0.1156

Abstract

Customer Data Management Information System is a program or information system that functions to assist customer and sales data recording activities as well as product activation processes on CV. IT Brain Indonesia. This system is designed to record and input customer data from requests for demo software and customer consultations that come in daily via email marketing and also through whatsapp marketing before making a purchase and activation process. This system is shown for the marketing team on CV. IT Brain Indonesia is still using Microsoft Excel to record these data, which takes a long time to group customer needs on different sheets. In this case the author designed an Information System for Customer Data Management and Web-Based Digital Product Sales at CV. IT Brain Indonesia. The method used is the equivalence method and blackbox testing. The results of this study are in the form of a web-based information system intended for marketing and customer support that can group customer data according to their needs and record sales and product activation processes. This web-based information system was created using the CodeIgniter framework.
Optimizing the Measurement of Metal Content in Water Using the Kalman Filter Method Yulita Ayu Handayani; Ilmiatul Masfufiah
Procedia of Engineering and Life Science Vol 2 (2021): Proceedings of the 3rd Seminar Nasional Sains 2021
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (306.859 KB) | DOI: 10.21070/pels.v2i0.1158

Abstract

Research on detection and screening of metal in the water using Atmega 8535 Microcontroller focused on designing a device to detect metal levels in the water and it could conduct metal screening in the water. There were 3 samples such as well water, gallon water, drinking water, and RO water as a neutralizer. It was obtained fluctuating or unstable result. It was because several factors like lack of sensor probe number used, sensor probe materials which were too reactive to the water, and unstable change of output value because of previous value saving. Because of these problems, this study was conducted an optimization of metal content measurements in water with TDS sensor with Arduino Uno base. The optimization was done by using the Kalman Filter method. There were refill water samples, tap water /drinking water, and well water which were tested 30 times each. The error percentage results without the method were 29.74%, 9.53%, 9.02%, while the results error percentage used the Kalman Filter method were 29.34%, 9.39%, 8.94%. In this test, the Kalman Filter method could reduce the error percentage in a row by 0.4%, 0.14% and 0.08%. In the test comparing eight samples with the TDS meter, the researcher got the average error percentage for testing without the method of 7.881%, and the average error percentage for testing with the Kalman Filter method of 6.705%. In this case, the Kalman Filter method can reduce the error percentage by 1.176%. From these data, it could be concluded that the Kalman Filter method could reduce the error percentage so that the reading of the measurement results would be more stable.
Application Of Web-Based Industrial Environment Test Results Muhammad Jamilul Iman; Mochamad Alfan Rosid
Procedia of Engineering and Life Science Vol 2 (2021): Proceedings of the 3rd Seminar Nasional Sains 2021
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (967.081 KB) | DOI: 10.21070/pels.v2i0.1159

Abstract

Tests on an industrial environment is needed to ensure the health and as a way to combat pollution in the surrounding environment. To obtain data and information about the content of chemical substances that exist in the region need of good accuracy in order to provide accurate research results. If the process using the manual method, it will take a long time to make a report of the information obtained. As for the various samples taken have different standards or methods based on government regulations. The application for processing the results of industrial environment test uses the PHP programming language and uses a MySQL database. Application uses the Black Box method from display to input action. Moreover,testing this application using a Likert scale, the author gives a questionnaire to the marketing of 5 people and laboratory 5 people with questions about the appearance results of input and output application with 5 items. The results of this test, the application of industrial environmental results can be accepted by laboratory application with a percentage of 74.4%. This laboratory application helps data management and administration PT. Xyz, becomes temporary information or the final report on the evaluation of research conducted.
Design and Build WEB-Based Applications as E-Commerce Media for Sales of Custom Products at CLOVE STORE Stores Nurul Hidayah; Mohammad Suryawinata; Hindarto; Ika Ratna Indra Astutik
Procedia of Engineering and Life Science Vol 2 (2021): Proceedings of the 3rd Seminar Nasional Sains 2021
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (511.385 KB) | DOI: 10.21070/pels.v2i0.1160

Abstract

E-commerce provides information about the items offered by business actors in the form of catalogs, which are given to make it easier for the general public or potential purchasers to select the required product. Making this e-commerce application is for owners who have full control over the e-commerce website or administrators who can enter data on products or services offered, while visitors to e-commerce websites can place orders for those products or services. The results of testing a website-based e-commerce application on the Clove Store store from the trials that have been carried out show that the success rate is 90%, In terms of the benefits of building an e-commerce website, there are many advantages, including for buyers, they don't need to come directly to the store, just by looking at the catalogs available on the website, buyers can directly order available products and for sellers in terms of promotion it will be easier and no need to spend more costs to market their products.
TKJ Laboratory Inventory Monitoring System Using Web-based AHP (Analytical Hierarchy Process) Method at SMK Negeri 1 Doko Budi Prasetyo; Dimas Fanny Hebrasianto Permadi
Procedia of Engineering and Life Science Vol 2 (2021): Proceedings of the 3rd Seminar Nasional Sains 2021
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (966.32 KB) | DOI: 10.21070/pels.v2i0.1161

Abstract

Reporting and collecting data on inventory tools using the old method does not rule out the possibility of data reporting errors and determining priorities for procurement of laboratory inventory at SMK Negeri 1 Doko. The development of increasingly advanced technology requires computerized inventory data collection, which is expected to reduce paper use, so that checking inventory conditions can be easy and efficient. To make it easier to determine the procurement of inventory, a system is needed that can make it easier to determine the priority of inventory procurement and is expected to help problems in MK Negeri 1 Doko. Therefore, research will be carried out with the aim of making it easier to monitor and determine priorities for laboratory inventory procurement. This research is a development research using the waterfall method using the AHP algorithm for system development. The results showed that the results obtained from testing the AHP calculation manually or using the application obtained that there were several values ​​that had a difference of 0.000001 the consistency ratio showed less than 10%. It could be concluded that the AHP calculation was still acceptable. BlackBox testing and beta testing the user satisfaction level of 88.25% indicates that the monitoring application system built is acceptable and can run according to its function.
Performance Improvement Strategy With Malcolm Baldrige Method Integration and SWOT Analysis (Case Study at UD. Syaiful Plastik) Mohammad Aji Prasetyo; Hana Catur Wahyuni
Procedia of Engineering and Life Science Vol 2 (2021): Proceedings of the 3rd Seminar Nasional Sains 2021
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (663.005 KB) | DOI: 10.21070/pels.v2i0.1162

Abstract

There are problems that faced at UD. Syaiful Plastik including in the sector of leadership, measurement management, and company product output. This results in the quality and quantity of the company's products not being able to fulfill consumer expectations. To follow up on this problem, the Malcolm Baldrige method is used to analyze the company's performance with seven categories of assessment and SWOT analysis to determine the factorc that affect the company's performance, by assessing internal factors (strenghts and weaknesses), external factors (opportunities and threats). From the measurement results, Malcolm Baldrige's total score is 474 points with an overall percentage of 47% from a maximum score of 1000. This value is at the average level including the early improvement category (point scale 376-475). The results of the internal evaluation contained 8 attributes of strength elements and 4 attributes of weakness elements. The results of the external evaluation contained 5 opportunity attributes and 5 threat attributes. Mapping the IFE-EFE matrix followed by a SWOT analysis resulted in 4 alternative strategies that can be done to build progress and a more competitive company advantage.
Raindrop Removal On A Single Image Using The Generative Adversarial Network Muhammad Rizal Muttaqin1; Oddy Virgantara Putra; Lukman Effendi
Procedia of Engineering and Life Science Vol 2 (2021): Proceedings of the 3rd Seminar Nasional Sains 2021
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1012.104 KB) | DOI: 10.21070/pels.v2i0.1163

Abstract

The presence of raindrops attached to the window glass or vehicle glass reduces visibility of the actual scene. The area covered by raindrops forms a round image and reflects light from the actual scene, this image is called Raindrop. In some cases, the camera's focus is blocked by Raindrop will result in a blurry image. The problem faced is that there is no actual landscape image, so to overcome this this research tries to adapt the research from Rui Qian and MaybeShewill-CV which uses the Generative Adversarial Network architecture, by adding the Raindrop and Groundtruh datasets from observations at Darussalam Gontor University. The purpose of this study is to remove raindrops from a single image. This is important to research because it provides updates and optimizes the results of previous research. This study shows the accuracy of PSNR 21.37 and SSIM 0.7561. The model managed to remove Raindrops from the image, but still couldn't match the Groundtruth image. Inability to handle raindrops due to lack of time to run a large number of epochs to produce PSNR values ​​above 40 db and SSIM above 0.9. PSNR and SSIM values ​​can continue to increase along with the addition of the dataset as well as the number of epoch training models carried out.
Classification of Book Collections Based on DDC 23 Using Text Mining Algorithm at UNIDA Gontor Library Muhammad Alwi; Oddy Virgantara Putra; Dihin Muriyatmoko1
Procedia of Engineering and Life Science Vol 2 (2021): Proceedings of the 3rd Seminar Nasional Sains 2021
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (513.927 KB) | DOI: 10.21070/pels.v2i0.1164

Abstract

The collection of books in a library is a means of information that has become the main actor as a supporter of the existence of a library. UNIDA Gontor library uses the 23rd edition of the Dewey Decimal Classification (DDC 23) classification system, as a reference for the classification numbering system for each book collection. However, in the classification numbering there is no automatic system that helps librarians in assigning classification numbering to each collection. So it is necessary to select a suitable model system to be applied to the automatic classification system. The data used in this study is in the form of blurb data on each collection of Indonesian public books in the UNIDA Gontor Library. In this study, four methods of text mining algorithms were applied to be tested and compared. The algorithm used in testing this research is Multinomial Nb, Logistic Regression, Random Forest, and Support Vector Classifier. From the test results, the highest accuracy results are the Support Vector Classifier algorithm of 72%, while the Logistic Regression algorithm is 69%, Random Forest 69%, and Multinomial Nb 59%. Further research is recommended to apply the support vector classifier algorithm into the UNIDA Gontor library information system.
Payment Application Design Using Cart (Classification And Regression Tree) Method Elfinda Lusiana Ika Pradita; Kurnia Paranita Kartika; Filda Febrinita
Procedia of Engineering and Life Science Vol 2 (2021): Proceedings of the 3rd Seminar Nasional Sains 2021
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (253.301 KB) | DOI: 10.21070/pels.v2i0.1165

Abstract

This payroll application is used to calculate the amount of salary that will be received by the Lion Parcel Blitar courier. This study aims to help find solutions for admins to complete payroll tasks quickly and accurately by developing a payroll system that is easy to implement. This research uses the RND (Research and Development) method according to Sugiyono (2012), because this method is used to generate and test the effectiveness of a product. To facilitate the grouping of couriers delivering the most packages and delivering the least packages, the method used by the author in this study is the CART method with the final result being a confusion matrix class a ( <= 600 ) of 5 data and a confusion matrix of class b (> 600 ) of 3 data. In addition, Black Box testing is also used with a percentage of 92.3% and questionnaires to validators of 86.1%, as well as prospective users as testing applications with a percentage of 90.4%. So this application is declared very feasible.