Pub Date : 2019-12-30DOI: 10.32493/informatika.v4i4.3782
Fadhila Cahya Ningrum, Dandi Suherman, Sita Aryanti, H. Prasetya, Aries Saifudin
Testing on an application aims to check whether a program is running properly so that the program created will be a program that has good quality. The testing technique consists of Whitebox Testing and Blackbox Testing which are widely used by examiners is appropriate. Study the software that will be examined using Blackbox Testing is a best sales selection system consisting of 1 form that will be filled with sales data, as well as sales performance while in the company. The Best Sales Selection Application will be tested using Blackbox Testing where this test only aims to look the program is the same with the function desired by program without knowing the program code used. Types of testing of the various Blackbox methods one of which is the Equivalence Partitions used by the authors in this study. Equivalence Partitions technique is a test based on entering data on each form in the best sales selection system, each menu input will be tested and grouped according to function whether it is valid or invalid. So it is expected that with this test is the quality of the software produced in accordance with the expected function, and can provide benefits for the company.
{"title":"Pengujian Black Box pada Aplikasi Sistem Seleksi Sales Terbaik Menggunakan Teknik Equivalence Partitions","authors":"Fadhila Cahya Ningrum, Dandi Suherman, Sita Aryanti, H. Prasetya, Aries Saifudin","doi":"10.32493/informatika.v4i4.3782","DOIUrl":"https://doi.org/10.32493/informatika.v4i4.3782","url":null,"abstract":"Testing on an application aims to check whether a program is running properly so that the program created will be a program that has good quality. The testing technique consists of Whitebox Testing and Blackbox Testing which are widely used by examiners is appropriate. Study the software that will be examined using Blackbox Testing is a best sales selection system consisting of 1 form that will be filled with sales data, as well as sales performance while in the company. The Best Sales Selection Application will be tested using Blackbox Testing where this test only aims to look the program is the same with the function desired by program without knowing the program code used. Types of testing of the various Blackbox methods one of which is the Equivalence Partitions used by the authors in this study. Equivalence Partitions technique is a test based on entering data on each form in the best sales selection system, each menu input will be tested and grouped according to function whether it is valid or invalid. So it is expected that with this test is the quality of the software produced in accordance with the expected function, and can provide benefits for the company.","PeriodicalId":251854,"journal":{"name":"Jurnal Informatika Universitas Pamulang","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129793985","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-12-30DOI: 10.32493/informatika.v4i4.3951
R. Taufiq, Risma Rohmatul Ummah, Irfan Nasrullah, A. Permana
Madrasah Ibtidaiyah Nurul Huda Kota Tangerang is one of the private schools, but data processing payroll in this schooll was still unintegrated. The ongoing payroll system was still in use of a manual system. The results of this were many obstacles faced by the school in the production of materials such as in payroll contracts, payroll calculations, payroll slips, and drawing up payroll reports. Also, the information presentation was less fast, inexact, inaccurate because current media transmission information consists of purely physical documents. The research method used waterfall method. Waterfall is a model of its development process for the coverage of a system, sequential or linear. The research steps were divided into: analysis, design, coding, testing and maintenance. The system would then be built using synthetic programming language PHP and Mysql as a database. The web-based employee payroll information system was intended to provide advantages in payroll data processing such as payroll process, payroll calculations, payroll slips, and payroll reports, so that manual jobs could be much easier and computerized. The result was derived from this research was development of the web-based employee payroll information system.
Madrasah Ibtidaiyah Nurul Huda Kota Tangerang是其中一所私立学校，但这所学校的数据处理工资仍然没有整合。现行的薪给制度仍然使用手工系统。其结果是学校在编制工资合同、工资计算、工资条、编制工资报表等资料时遇到了许多障碍。此外，由于目前的媒体传播信息纯粹由物理文档组成，因此信息呈现速度较慢，不准确，不准确。研究方法采用瀑布法。瀑布式开发是系统覆盖范围的开发过程模型，可以是顺序的，也可以是线性的。研究步骤分为:分析、设计、编码、测试和维护。然后使用合成编程语言PHP和Mysql作为数据库来构建系统。基于web的员工工资单信息系统旨在提供工资单数据处理方面的优势，如工资单处理、工资单计算、工资单和工资单报告，从而使手工工作变得更加容易和计算机化。本研究的结果是基于web的员工工资信息系统的开发。
{"title":"Rancang Bangun Sistem Informasi Penggajian Pegawai Berbasis Web di Madrasah Ibtidaiyah Nurul Huda Kota Tangerang","authors":"R. Taufiq, Risma Rohmatul Ummah, Irfan Nasrullah, A. Permana","doi":"10.32493/informatika.v4i4.3951","DOIUrl":"https://doi.org/10.32493/informatika.v4i4.3951","url":null,"abstract":"Madrasah Ibtidaiyah Nurul Huda Kota Tangerang is one of the private schools, but data processing payroll in this schooll was still unintegrated. The ongoing payroll system was still in use of a manual system. The results of this were many obstacles faced by the school in the production of materials such as in payroll contracts, payroll calculations, payroll slips, and drawing up payroll reports. Also, the information presentation was less fast, inexact, inaccurate because current media transmission information consists of purely physical documents. The research method used waterfall method. Waterfall is a model of its development process for the coverage of a system, sequential or linear. The research steps were divided into: analysis, design, coding, testing and maintenance. The system would then be built using synthetic programming language PHP and Mysql as a database. The web-based employee payroll information system was intended to provide advantages in payroll data processing such as payroll process, payroll calculations, payroll slips, and payroll reports, so that manual jobs could be much easier and computerized. The result was derived from this research was development of the web-based employee payroll information system.","PeriodicalId":251854,"journal":{"name":"Jurnal Informatika Universitas Pamulang","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130282084","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-09-30DOI: 10.32493/informatika.v4i3.3249
Z. Abidin, Indra Gita Anugrah, Ryco Puji Setyono
Determine the best candidate in a company is something that is natural. There are several methods to determine the best candidate. One of them using the "Profile Matching" method. The method will rate employees from the highest to the lowest value, the assessment is carried out with several aspects of assessment which are categorized into two categories, namely core factors and scondary factors. Core factor is an assessment of the main factors in an assessment and the scondary factor is the supporting factors in an assessment. In weight determining the core factor and scondary factors greatly influence the results of the assessment. With the use of the "Profile Matching" method, it is expected that employee assessment can be maximized and provide results as expected. But in the calculation, there are several factors that are very influential so that the results obtained are unsuitable. Normal calculation using the Profile Matching method with standard values is the middle value produces the best candidate that is not appropriate. Requires modification of the weighting gap table so that the results produced can be maximized and appropriate.
{"title":"Maksimalisasi Penggunaan Metode Profile Matching dalam Menentukan Kandidat Terbaik","authors":"Z. Abidin, Indra Gita Anugrah, Ryco Puji Setyono","doi":"10.32493/informatika.v4i3.3249","DOIUrl":"https://doi.org/10.32493/informatika.v4i3.3249","url":null,"abstract":"Determine the best candidate in a company is something that is natural. There are several methods to determine the best candidate. One of them using the \"Profile Matching\" method. The method will rate employees from the highest to the lowest value, the assessment is carried out with several aspects of assessment which are categorized into two categories, namely core factors and scondary factors. Core factor is an assessment of the main factors in an assessment and the scondary factor is the supporting factors in an assessment. In weight determining the core factor and scondary factors greatly influence the results of the assessment. With the use of the \"Profile Matching\" method, it is expected that employee assessment can be maximized and provide results as expected. But in the calculation, there are several factors that are very influential so that the results obtained are unsuitable. Normal calculation using the Profile Matching method with standard values is the middle value produces the best candidate that is not appropriate. Requires modification of the weighting gap table so that the results produced can be maximized and appropriate.","PeriodicalId":251854,"journal":{"name":"Jurnal Informatika Universitas Pamulang","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131741430","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-09-30DOI: 10.32493/informatika.v4i3.3169
H. A. Hidayah, Richa Fadlilatul Mu’affifah, U. Chotijah
A project consists of various types or work. Between one type of work with another type of work has a very close relationship. The types of work will show the scale or failure of a project. The more types of work to be done, the greater the scale of the project, and vice versa. The relationship between the type of work one with the other type of work on a large-scale project will be very complex, the smaller the scale, the relationship between types of work will be more simple. One of the construction companies in Gresik, namely CV. ANEKA JASA TEKNIK, applies the make to order strategy to respond to requests from consumers. That way, the company can send orders with quality and delivery time in accordance with the wishes of consumers. In this project the problem faced is how to forecast project work orders in the coming month. The data used in this study is work order data from January 2016 to April 2019. Data analysis uses the Autoregressive Integrated Moving Average (ARIMA) method. The tools used in this study are Minitab. The analysis obtained from calculations using the ARIMA model (1,1,1) and forecasting results until the month of October. The analysis results obtained from calculations using the ARIMA model (1,1,1) and forecasting results until October. Work order construction project is Zt = μ - 0,9647Zt-1 + at, Forecasting work order construction projects for the coming month, starting from January 2016 to April 2019 experiencing a gradual decline, comparison between work order forecast project construction not much different from the work order of the actual construction project.Output in the form of data prediction the number of work orders is displayed in the form of tables and graphs so that it is easy to understand.
{"title":"Estimasi Jumlah Work Order Project Konstruksi Menggunakan Metode ARIMA (Autoregressive Integrated Moving Average)","authors":"H. A. Hidayah, Richa Fadlilatul Mu’affifah, U. Chotijah","doi":"10.32493/informatika.v4i3.3169","DOIUrl":"https://doi.org/10.32493/informatika.v4i3.3169","url":null,"abstract":"A project consists of various types or work. Between one type of work with another type of work has a very close relationship. The types of work will show the scale or failure of a project. The more types of work to be done, the greater the scale of the project, and vice versa. The relationship between the type of work one with the other type of work on a large-scale project will be very complex, the smaller the scale, the relationship between types of work will be more simple. One of the construction companies in Gresik, namely CV. ANEKA JASA TEKNIK, applies the make to order strategy to respond to requests from consumers. That way, the company can send orders with quality and delivery time in accordance with the wishes of consumers. In this project the problem faced is how to forecast project work orders in the coming month. The data used in this study is work order data from January 2016 to April 2019. Data analysis uses the Autoregressive Integrated Moving Average (ARIMA) method. The tools used in this study are Minitab. The analysis obtained from calculations using the ARIMA model (1,1,1) and forecasting results until the month of October. The analysis results obtained from calculations using the ARIMA model (1,1,1) and forecasting results until October. Work order construction project is Zt = μ - 0,9647Zt-1 + at, Forecasting work order construction projects for the coming month, starting from January 2016 to April 2019 experiencing a gradual decline, comparison between work order forecast project construction not much different from the work order of the actual construction project.Output in the form of data prediction the number of work orders is displayed in the form of tables and graphs so that it is easy to understand.","PeriodicalId":251854,"journal":{"name":"Jurnal Informatika Universitas Pamulang","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133341551","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-09-30DOI: 10.32493/informatika.v4i3.3186
Yono Cahyono, Saprudin Saprudin
At present the development of the use of social media in Indonesia is very rapid, in Indonesia there are a variety of regional languages, one of which is the Sundanese language, where some people especially those living in West Java use Sundanese language to express comments, opinions, suggestions, criticisms and others in social media. This information can be used as valuable data for individuals or organizations in decision making. The huge amount of data makes it impossible for humans to read and analyze it manually. Sentiment analysis is the process of classifying opinions, analyzing, understanding, evaluating, emotions and attitudes towards a particular entity such as individuals, organizations, products or services, topics, events, in order to obtain information. The purpose of this research is the Naїve Bayes Classifier (NBC) classification algorithm and Feature Chi Squared Statistics selection method can be used in Sundanese-language tweets sentiment analysis on Twitter social media into positive, negative and neutral categories. Chi Square Statistic feature test results can reduce irrelevant features in the Naïve Bayes Classifier classification process on Sundanese-language tweets with an accuracy of 78.48%.
{"title":"Analisis Sentiment Tweets Berbahasa Sunda Menggunakan Naive Bayes Classifier dengan Seleksi Feature Chi Squared Statistic","authors":"Yono Cahyono, Saprudin Saprudin","doi":"10.32493/informatika.v4i3.3186","DOIUrl":"https://doi.org/10.32493/informatika.v4i3.3186","url":null,"abstract":"At present the development of the use of social media in Indonesia is very rapid, in Indonesia there are a variety of regional languages, one of which is the Sundanese language, where some people especially those living in West Java use Sundanese language to express comments, opinions, suggestions, criticisms and others in social media. This information can be used as valuable data for individuals or organizations in decision making. The huge amount of data makes it impossible for humans to read and analyze it manually. Sentiment analysis is the process of classifying opinions, analyzing, understanding, evaluating, emotions and attitudes towards a particular entity such as individuals, organizations, products or services, topics, events, in order to obtain information. The purpose of this research is the Naїve Bayes Classifier (NBC) classification algorithm and Feature Chi Squared Statistics selection method can be used in Sundanese-language tweets sentiment analysis on Twitter social media into positive, negative and neutral categories. Chi Square Statistic feature test results can reduce irrelevant features in the Naïve Bayes Classifier classification process on Sundanese-language tweets with an accuracy of 78.48%.","PeriodicalId":251854,"journal":{"name":"Jurnal Informatika Universitas Pamulang","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134526243","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-09-30DOI: 10.32493/informatika.v4i3.3310
Alvino Octaviano, Sofa Sofiana
The limited number of teaching aids is the general shortage of private schools due to the limited cost of procuring props for the PGM-FI sistem. The less interesting learning model is also a factor in the low value of students in certain subjects. Augmented Reality is a technology that develops in the world, combining two-dimensional or three-dimensional virtual objects into a real three-dimensional environment and then projecting these virtual objects in real time. in previous studies have introduced Augmented Reality Applications that still use markers. But the application still has limitations. The need for paper printing and sticking to the object to be studied. Through markerless technology other than without the need for paper printing and pasting. This application can further adjust the appearance of injection machines
{"title":"Penerapan Aplikasi Markerless Augment Reality untuk Pemodelan Mesin Injection","authors":"Alvino Octaviano, Sofa Sofiana","doi":"10.32493/informatika.v4i3.3310","DOIUrl":"https://doi.org/10.32493/informatika.v4i3.3310","url":null,"abstract":"The limited number of teaching aids is the general shortage of private schools due to the limited cost of procuring props for the PGM-FI sistem. The less interesting learning model is also a factor in the low value of students in certain subjects. Augmented Reality is a technology that develops in the world, combining two-dimensional or three-dimensional virtual objects into a real three-dimensional environment and then projecting these virtual objects in real time. in previous studies have introduced Augmented Reality Applications that still use markers. But the application still has limitations. The need for paper printing and sticking to the object to be studied. Through markerless technology other than without the need for paper printing and pasting. This application can further adjust the appearance of injection machines","PeriodicalId":251854,"journal":{"name":"Jurnal Informatika Universitas Pamulang","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115618361","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-09-30DOI: 10.32493/informatika.v4i3.2877
Bobi Agustian, I. Kusyadi, Yusep Jaelani
At present, the world has entered the era of information-based competition. Information becomes a valuable asset for a business institution in winning business competition. At PT MNC Sky Vision Tbk is currently using an information system in the form of the use of computer equipment in carrying out its work activities, but in processing data on demand for goods currently in processing data is still less efficient, fast, accurate, and there are still errors in the monthly report, because when In the average daily demand for goods there are 10 requests, both departments / divisions and from branch offices namely KPP, KPD and KPU, which number around 46 departments / divisions and 75 branch offices, for the number of goods requested by the Demand Management Information System Web-Based Goods at PT. MNC Sky Vision Tbk. In one transaction, there were 8 types out of a total of 738 types of goods, so in the process of recapitulating data, demand for goods requires a long time either in adding data, changing data, deleting data and searching data for items needed in a month. Based on these problems, it is needed an application in processing demand data, especially office stationery (ATK) and other supporting operational activities of the office. In this study, the data collection method uses observation, interviews and literature studies. The application is compiled with the procedure of development stage which includes analysis of needs, making data flow diagrams, implementation using PHP as a programming language and MySql as the database. From the research conducted, a Web-based demand management information system software is produced, which can help in day-to-day office operations, namely data storage or data recap and also avoid losses due to human error.
{"title":"Perancaangan Sistem Informasi Manajemen Permintaan Barang Berbasis Web pada PT MNC SKY VISION Tbk","authors":"Bobi Agustian, I. Kusyadi, Yusep Jaelani","doi":"10.32493/informatika.v4i3.2877","DOIUrl":"https://doi.org/10.32493/informatika.v4i3.2877","url":null,"abstract":"At present, the world has entered the era of information-based competition. Information becomes a valuable asset for a business institution in winning business competition. At PT MNC Sky Vision Tbk is currently using an information system in the form of the use of computer equipment in carrying out its work activities, but in processing data on demand for goods currently in processing data is still less efficient, fast, accurate, and there are still errors in the monthly report, because when In the average daily demand for goods there are 10 requests, both departments / divisions and from branch offices namely KPP, KPD and KPU, which number around 46 departments / divisions and 75 branch offices, for the number of goods requested by the Demand Management Information System Web-Based Goods at PT. MNC Sky Vision Tbk. In one transaction, there were 8 types out of a total of 738 types of goods, so in the process of recapitulating data, demand for goods requires a long time either in adding data, changing data, deleting data and searching data for items needed in a month. Based on these problems, it is needed an application in processing demand data, especially office stationery (ATK) and other supporting operational activities of the office. In this study, the data collection method uses observation, interviews and literature studies. The application is compiled with the procedure of development stage which includes analysis of needs, making data flow diagrams, implementation using PHP as a programming language and MySql as the database. From the research conducted, a Web-based demand management information system software is produced, which can help in day-to-day office operations, namely data storage or data recap and also avoid losses due to human error.","PeriodicalId":251854,"journal":{"name":"Jurnal Informatika Universitas Pamulang","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125754071","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-06-30DOI: 10.32493/informatika.v4i2.2730
I. A. Pratama, I. M. A. Wikantyasa
Internet have evolved so rapidly in this day and age from where user only can access to internet service through cable UTP(LAN) and now user can access it from every where through nirkable (Wireless Network) and from this improvement it caused lots of device connected and heavy traffic coming in and out from a network. Because of this situation the network industry come with a new idea using a new network architecture that known as Software Defined Network (SDN). Software Defined Network (SDN) is a new way to manage, design and implementing network architecture where data flow from the control plane separated from the hardware. Network industry believe that SDN can change the network architecture that people using now that known as Traditonal Network because SDN can overcome the weakness of Tradional network that tend to be closed and distributed can be changed by SDN to be open source, can be programmed and can be controlled centrally. In this research will be implementing and analys simulation Quality Of Service (QOS) and Perfomance device openflow switch using ONOS as controller to monitor the device perfomance and iperf3 as a Quality Of Service testing.
{"title":"Implementasi dan Analisis Simulasi QOS dan Perfomance Device dengan Menggunakan ONOS dan Iperf3","authors":"I. A. Pratama, I. M. A. Wikantyasa","doi":"10.32493/informatika.v4i2.2730","DOIUrl":"https://doi.org/10.32493/informatika.v4i2.2730","url":null,"abstract":"Internet have evolved so rapidly in this day and age from where user only can access to internet service through cable UTP(LAN) and now user can access it from every where through nirkable (Wireless Network) and from this improvement it caused lots of device connected and heavy traffic coming in and out from a network. Because of this situation the network industry come with a new idea using a new network architecture that known as Software Defined Network (SDN). Software Defined Network (SDN) is a new way to manage, design and implementing network architecture where data flow from the control plane separated from the hardware. Network industry believe that SDN can change the network architecture that people using now that known as Traditonal Network because SDN can overcome the weakness of Tradional network that tend to be closed and distributed can be changed by SDN to be open source, can be programmed and can be controlled centrally. In this research will be implementing and analys simulation Quality Of Service (QOS) and Perfomance device openflow switch using ONOS as controller to monitor the device perfomance and iperf3 as a Quality Of Service testing.","PeriodicalId":251854,"journal":{"name":"Jurnal Informatika Universitas Pamulang","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124354481","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-06-30DOI: 10.32493/informatika.v4i2.3235
Yum Leifita Nursimpati, Aries Saifudin
Students who graduate not on time create an imbalanced ratio between lecturers and students. The current selection system is ineffective because it has not been able to detect prospective students who have the possibility of not being able to complete their education on time so that many students who are accepted do not graduate on time and leave without completing their education. This condition causes a decrease in performance of study programs and institutions. The classification algorithm can use for classifying new students as graduate timely or not. Naive Bayes classification algorithm can use to classify data in certain classes, using the history of alumni of informatics engineering at Pamulang university as training data and prospective student data as test data. Some attributes used to determine which label class to graduate on time and not on time are gender, school majors, year difference, math grades, English, Indonesian. To improve the results of the classification of Naive Bayes, Bagging (Bootstrap Aggregating) technique is used. From the test results of the alumni dataset, the informatics study program using bagging techniques as an optimization of the Naive Bayes classification algorithm has a lower failure rate than without using bagging techniques. The results of the calculation of performance data using bagging techniques can increase accuracy by 2.381% and AUC by 1.470% on the student graduation prediction model for new student selection using the Naive Bayes classification.
{"title":"Penerapan Teknik Bagging Berbasis Naïve Bayes untuk Seleksi Penerimaan Mahasiswa","authors":"Yum Leifita Nursimpati, Aries Saifudin","doi":"10.32493/informatika.v4i2.3235","DOIUrl":"https://doi.org/10.32493/informatika.v4i2.3235","url":null,"abstract":"Students who graduate not on time create an imbalanced ratio between lecturers and students. The current selection system is ineffective because it has not been able to detect prospective students who have the possibility of not being able to complete their education on time so that many students who are accepted do not graduate on time and leave without completing their education. This condition causes a decrease in performance of study programs and institutions. The classification algorithm can use for classifying new students as graduate timely or not. Naive Bayes classification algorithm can use to classify data in certain classes, using the history of alumni of informatics engineering at Pamulang university as training data and prospective student data as test data. Some attributes used to determine which label class to graduate on time and not on time are gender, school majors, year difference, math grades, English, Indonesian. To improve the results of the classification of Naive Bayes, Bagging (Bootstrap Aggregating) technique is used. From the test results of the alumni dataset, the informatics study program using bagging techniques as an optimization of the Naive Bayes classification algorithm has a lower failure rate than without using bagging techniques. The results of the calculation of performance data using bagging techniques can increase accuracy by 2.381% and AUC by 1.470% on the student graduation prediction model for new student selection using the Naive Bayes classification.","PeriodicalId":251854,"journal":{"name":"Jurnal Informatika Universitas Pamulang","volume":" 11","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113949434","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-06-30DOI: 10.32493/informatika.v4i2.3204
B. Santoso, Sofyan Mufti Prasetiyo, Agung Wijoyo
Construction industries are a must in developing countries. Constructions take part in almost every corner of the country. In construction projects, reinforced concrete plays big part in any construction. A long bar of steel are cut into be several lengths to satisfy the requirements of the buildings to be build. In this process, waste cannot be avoided. And the waste of steel bar is very destructive to environment. This research is to find a way to minimize the waste in the process of cutting steel bars. The algorithm used is Greedy Search. Greedy Search is where the optimized solution in every step is taken, in the hope that the overall solution will be optimized for the problem. Optimized solution here is the minimum waste by the steel bar cutting. This will minimize the cost by the construction companies and at the same time preserve the environment.
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