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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 FMEA Traditional Modifications (FMEA Improvement) in IT Risk Assessment: The FMEA Traditional Modifications Nina Fadilah Najwa; Apol Pribadi Subriadi; Okfalisa; Eki Saputra; Muhammad Ariful Furqon
International ABEC 2021: Proceeding International Applied Business and Engineering Conference 2021
Publisher : International ABEC

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Abstract

Failure mode effect and analysis (FMEA) was an essential technique in risk management. Various studies have revealed the shortcomings of FMEA, one of them is about subjectivity and the consistency of the results issues. This research contributed to the FMEA improvement as the improvement Model to minimize traditional FMEA consistency issues. Based on previous research, the present study will discuss in more detail the FMEA improvement method. The research questions formulated for this research are: (1) How was the use of the FMEA improvement model in the case study; and (2) What were the implications of the FMEA improvement model. The FMEA Improvement Model consisted of four main stages, namely: (1) the determination of risk assessment requirements; (2) risk identification; (3) risk analysis; and (4) evaluation and the recommendation control documentation. From the results of risk level categorization, one risk was at the highest level. This risk was classified as severe because it often happens almost every day. Two risks were at the medium to the high level, three risks were at the medium level, 13 risks were at the low to medium level, and 18 risks were low. Therefore, this paper's contribution was to guide researchers or IT experts to apply the FMEA improvement.
Implementation of Web Service Host To Host Payment for Pajak Bumi dan Bangunan Pekanbaru City Wawan Kurniawan; Dadang Syarif Sihabudin Sahid
International ABEC 2021: Proceeding International Applied Business and Engineering Conference 2021
Publisher : International ABEC

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Abstract

Web service is an application of a collection of data (database), software (software) or part of software that can be accessed remotely by various devices with a certain intermediary. Web service can also be interpreted as a method of exchanging data, regardless of where a database is embedded, in what language an application that consumes data is made, and on what platform a data is consumed. Web services are able to support interoperability. So that the web service is able to become a bridge between the various existing systems.
Thermal Annealing Effect of Strontium Stannate Thin Film Grown by an RF Magnetron Sputtering Yusmar Palapa Wijaya; Fatin Nor Ahmad; Khairul Anuar Mohamad
International ABEC 2021: Proceeding International Applied Business and Engineering Conference 2021
Publisher : International ABEC

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Abstract

Strontium Stannate (SrSnO3 or SSO) thin films were deposited on the ITO substrate using an RF magnetron sputtering method. Thermal annealing has been treated to the samples by 400oC, 600oC and 800oC using a furnace. Structure evolution has been observed by X-Ray diffraction (XRD), atomic force microscopy (AFM) and ultraviolet visible (UVVIS). A decrease full width at half maximum (FWHM) at (002) peak observed. The amplitude’s reduction from 0.472 to 0.354 for as deposited and as annealed sample, respectively, indicating an improvement of crystallite size by 30%. Furthermore, an absorbed wavelength by transmittance exhibited at 380 nm and 600 nm. The energy bandgap of the annealed thin film at 400oC, 600oC and 800oC were 3.33 eV, 3.28 eV and 3.20 eV, respectively.
RICE QUALITY DETECTION BASED ON DIGITAL IMAGE USING CLASSIFICATION METHOD Sellya Meizenty; Dadang Syarif Sihabudin Sahid; Juni Nurma Sari
International ABEC 2021: Proceeding International Applied Business and Engineering Conference 2021
Publisher : International ABEC

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Abstract

Rice is one of the staples that is included in the consistent list of staple food commodities (Bapok), currently some irresponsible people make the rice more durable, fragrant and whiter. Many assume that the rice is clean, odorless, and has a high price is rice with good quality and vice versa. From the existing problems the author wants to help the community to better determine good quality rice and good for consumption. This research will create a system that can recognize the type of rice based on the image of the rice. Rice data that has been collected will be sampled and trained using the K-Nearest Neighbors (k-NN) method where this method is used for the classification of the shortest distance calculation which will produce a class in the form of rice data classes, while to obtain parameter values from the rice image using the extraction feature. RGB color average (Red, Green, and Blue) and to get results with a good level of accuracy will use K-Fold Validation.
The Relationship Of Intellectual Capital Disclosure On Financial Statements Of Plantation Companies On Tax Paying Compliance Raya Puspita Sari Hasibuan; Anita Putri; William Caesar
International ABEC 2021: Proceeding International Applied Business and Engineering Conference 2021
Publisher : International ABEC

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Abstract

The long-term goal of implementing this research is to determine the relationship between the independent variable and the dependent variable and the existence of moderating variables that can strengthen or weaken the relationship between these variables. Where the independent variables in this study are the application of accounting conservatism, firm size, firm age, concentration of ownership and independent commissioners, while the dependent variable is tax compliance and the moderating variable is intellectual capital disclosure. The object of this research is all plantation companies whose financial statements have been audited from 2016-2020 and are listed on the Indonesia Stock Exchange. The analytical tool used in this research is SmartPLS. This research was conducted by downloading the financial statements of the plantation companies on the IDX website, namely www.idx.co.id. The number of companies that were sampled in this study were 75 plantation companies according to predetermined criteria. The result of this study is that all the independent variables contained in this study have no effect on the dependent variable, meaning that there is a discrepancy between the theory previously described and the results of this study. While the moderating variable in this study was able to strengthen the relationship between the dependent variable and the independent variable. Thus the results of this study need to be evaluated better with respect to the use of appropriate variables, suitability of the use of analytical tools, as well as the object under study.
AdaBoost integration with Genetic Algorithm for Psychological Aptitude Result Interpretation Model Bayu Hanif Pratama; Dadang Syarif Sihabudin Sahid
International ABEC 2021: Proceeding International Applied Business and Engineering Conference 2021
Publisher : International ABEC

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Abstract

SMA Darma Yudha Pekanbaru has a special program to facilitate students in knowing their interests and talents. The process is carried out by conducting special tests that can only be carried out by a certified psychologist. The psychologist is an educational worker under the division of guidance and counseling. The results of the test will be interpreted by psychologists with an output in the form of interests that can be used to determine the selection of majors in further study in college. Moreover, the results of the interpretation also contain recommendations of interest and talent for a career after the learner graduated from college. However, the recommendations of interest and talent are the result of unilateral analysis by psychologists without a supporting device to confirm the truth and accuracy. In this case the author will conduct research in the form of analysis of the results of interpretation issued by the psychologist of course with a variety of assessment instruments and not only that, to further ensure the results of interpretation, the author conducts analysis using 2 (two) machine learning methods and will then be done in order to get the best results. In this study, the authors used machine learning by comparing the results of analysis from 2 (two) methods namely Naïve Bayes and Decision Trees Classifier which then the classification results will be improved with AdaBoost.
Credit Scoring Models and Applications Based on Personality Predictions Using Twitter Data and Debtor Big Data at PT. Bank Riau Kepri sugianto; Dadang Syarif Sihabudin Sahid; Juni Nurma Sari; Yohana Dewi Lulu Widyasari
International ABEC 2021: Proceeding International Applied Business and Engineering Conference 2021
Publisher : International ABEC

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Abstract

The development of social media in Indonesia is very fast, even the latest data shows that social media users in Indonesia have increased from year to year. The total active social media is 160 million or 59% of the total Indonesian population aged 16 to 64 years. 99% of social media users via mobile. The most widely used social media is the Twitter platform. Rapid development, many business lines are starting to use social media analysis to see the personality of users. This phenomenon is called personality analysis by utilizing Big Data. In the internal of Bank Riau Kepri itself, there are no tools that can be used to analyze a person, including the analysis of prospective debtors. Therefore, debtor data in the Core Banking System at Bank Riau Kepri internal and tweet data on the twitter platform will be analyzed using Big Data using a machine learning model with the application of the Decision Tree and Random Forest algorithms. This analysis aims to see the personality of prospective debtors by utilizing the Twitter platform social data media combined with big data from Bank Riau Kepri debtors to see the character, capacity, and capital. After the analysis is done, testing is done on the model built by performing Split validation and cross validation to determine the level of model accuracy. The end result will help to see the credit analysis of the prospective debtor, which will be visualized in the application in the form of credit scoring. Credit scoring using algorithms combined with Big Data shows a very good level of accuracy, as evidenced by several previous studies.
Investigating the Effect of Climate on National Rice Production using Machine Learning Rizkyana Rizkyana; Yohana Dewi Lulu
International ABEC 2021: Proceeding International Applied Business and Engineering Conference 2021
Publisher : International ABEC

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Abstract

This paper examines the influence of climate on national rice productivity using K-Mean Clustering through the Fact Constellation scheme. The research was conducted to see the effect of climate on national rice productivity, especially on the island of Sumatra. For the clustering, the popular machinelearning tool K-Nime was used whose visualization feature was principally useful to determine the patterns, dependencies, and relationships of rice yield on different climate and soil factors of rice production. Research shows that several climateComponents such as temperature, humidity and solar radiation have a very strong influence on national rice productivity.
Implementation And Performance Analysis Development Security Operations (DevSecOps) using Static Analysis and Security Testing (SAST) Wedy Freddy Santoso; Dadang Syarif Sihabudin Sahid
International ABEC 2021: Proceeding International Applied Business and Engineering Conference 2021
Publisher : International ABEC

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Abstract

DevSecOps solves the problem by integrating the security of development operations through various development life cycles. benefits, implementation and challenges during the process. in addition to many documented web hacks. For the scope of work reported that the focus is on two widely used digital library systems: DSpace and Greenstone, in performing Static Application Security Testing (SAST) in addition to more traditional port scanning. Weaknesses were found and details how to make improvements to both systems to make them more secure. can ensure by considering more broadly on the forms of security problems found, to assist the development of software architecture in the future.
Design and Development of Information System for Administration and Monitoring of Authentic Deed Services for Notary and Conveyancing Using the Prototyping Method Rekyahim Rekyahim; Indah Lestari
International ABEC 2021: Proceeding International Applied Business and Engineering Conference 2021
Publisher : International ABEC

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Abstract

Notary Asep Sudrajat, SH., M.Kn. is a company that provides legal services in making authentic deeds and other legally regulated authorities. Currently, Notary Asep Sudrajat, SH., M.Kn has many requests for authentic deed processing, which is currently the filing process and also for submitting information, clients must come to the office or call the notary to find out the stages of transactions that the client has submitted at this time. The notary must look for files to provide information on the progress of deed processing to clients. Sometimes the delivery of information still occurs problems because the deed completion process takes about 1 to 3 months, this can make it difficult for the notary to find the file. From these problems, an Authentic Deed Service Administration and Monitoring Information System will be built. This information system will be developed based on the website in the notary section with the PHP and MYSQL programming language as the database and the android application will be used by the client. As well as the development method using the prototyping method with 2 iterations. Based on the test results, the system built was in accordance with the requests and needs of the Notary Asep Sudrajat, SH., M.kn. The application also runs well with usability testing with the SUS method resulting in a total value of 84, these results indicate that the application has been accepted by the notary client.

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