HRIS application is an application that is needed to manage human resources well and integrated the system. Usability in a system is very necessary in the development of a system so that it can affect the use of the application. The author tests the usability user interface on HRIS products using the cognitive walkthrough evaluation method, which works through a series of task scenarios and asks a number of questions from the user's perspective, and the method of usefulness, satisfaction, ease of use (USE) Questionnaire to assess how much usability is done by the user. The cognitive walkthrough testing is done by using the application that has been made by the author, after that the author makes improvements to the system according to the results of the test. Then after being repaired, the system was tested again with the same application, then the results were assessed using the USE Questionnaire and compared with previous results. The result is that the system has increased from previously by 3.67 from a scale of 1-5 to 4.04, up by 0.34.
{"title":"Development of the Human Resources Information System (HRIS) Based on Usability Analysis with Usefulness, Satisfaction, Ease to Use (USE) Questionaire and Cognitive Walkthrough Methods","authors":"D. Prastyo, Sihab udin, M. Bakhtiar","doi":"10.32877/BT.V1I3.77","DOIUrl":"https://doi.org/10.32877/BT.V1I3.77","url":null,"abstract":"HRIS application is an application that is needed to manage human resources well and integrated the system. Usability in a system is very necessary in the development of a system so that it can affect the use of the application. The author tests the usability user interface on HRIS products using the cognitive walkthrough evaluation method, which works through a series of task scenarios and asks a number of questions from the user's perspective, and the method of usefulness, satisfaction, ease of use (USE) Questionnaire to assess how much usability is done by the user. The cognitive walkthrough testing is done by using the application that has been made by the author, after that the author makes improvements to the system according to the results of the test. Then after being repaired, the system was tested again with the same application, then the results were assessed using the USE Questionnaire and compared with previous results. The result is that the system has increased from previously by 3.67 from a scale of 1-5 to 4.04, up by 0.34.","PeriodicalId":405015,"journal":{"name":"bit-Tech","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129401866","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}
PT Samudera Indonesia Tbk merupakan perusahaan yang bergerak dalam bidang jasa yang berupa logistik. Sebagai perusahaan jasa, sangat mengutamakan pelayanan terutama dalam memberikan layanan informasi kepada customer atau client. Namun, dalam sering terjadi masalah teknologi sistem informasi yang digunakan khususnya yang terjadi adalah server down. Hal ini disebabkan beberapa faktor tidak bisa diprediksi. Ditambah lagi perusahaan ini masih bergantung kepada peranan personil IT untuk menunggu penanganan kejadian server down. Upaya mengetahui tingkat kritis server adalah salah satu pencegahan atau mitigasi terhadap gangguan yang beresiko fatal terhadap proses bisnis perusahaan maka dibutuhkan sistem pendukung keputusan. Dalam penelitian ini, penulis membandingkan perhitungan metode logika fuzzy mamdani dengan metode fuzzy sugeno untuk mengukur tingkat kritis server yang digunakan PT Samudera Indonesia Tbk. Penelitian ini menghasilkan sebuah Prototipe yang dibangun dengan Matlab R2013a, dapat digunakan untuk menghitung tingkat kritis pada server. Prototipe tersebut menggunakan dua metode fuzzy mamdani dan fuzzy sugeno. Metode fuzzy mamdani memiliki akurasi rata-rata 85,21%. Dari perhitungan kedua metode tersebut, hasil nilai akurasi yang tertinggi akan dijadikan sebagai acuan dalammenentukan server yang kritis.Kata Kunci: SPK, Server, fuzzy mamdani, fuzzy sugeno, Matlab R2013a
PT Samudera Indonesia Tbk是一家专业从事物流服务的公司。作为一名服务公司，服务主要集中在为客户或客户提供信息服务上。然而，在技术上经常出现信息系统问题，特别是服务器宕机。这是由于一些不可预测的因素。此外，该公司仍然依赖IT人员的角色来处理服务器事件。了解关键级别的服务器是对公司业务进程可能受到致命损害的一种预防或减轻措施，因此需要一个支持决策系统。在本研究中，作者将mamdani逻辑方法的计算方法与fuzzy sugeno方法进行比较，以测量PT Samudera Indonesia Tbk使用的服务器的临界水平。这项研究产生了一个带有R2013a Matlab的原型，可以用来计算服务器的临界水平。它使用两种模糊的哺乳动物和模糊的sugeno方法。模糊乳房法的平均准确率是85.21%。从这两种方法的计算中，在确定关键服务器时，最高的准确率得分将被用作确定关键服务器的标准。关键词:SPK，服务器，模糊mamdani，模糊sugeno, Matlab R2013a
{"title":"Penentuan Server Kritis Dengan Menggunakan Fuzzy Mamdani Dan Fuzzy Sugeno Pada PT SAMUDERA INDONESIA TBK","authors":"Suhaemi Suhaemi, Moedjiono Moedjiono, Arriyadi Ade Sunarto","doi":"10.32877/BT.V1I3.62","DOIUrl":"https://doi.org/10.32877/BT.V1I3.62","url":null,"abstract":"PT Samudera Indonesia Tbk merupakan perusahaan yang bergerak dalam bidang jasa yang berupa logistik. Sebagai perusahaan jasa, sangat mengutamakan pelayanan terutama dalam memberikan layanan informasi kepada customer atau client. Namun, dalam sering terjadi masalah teknologi sistem informasi yang digunakan khususnya yang terjadi adalah server down. Hal ini disebabkan beberapa faktor tidak bisa diprediksi. Ditambah lagi perusahaan ini masih bergantung kepada peranan personil IT untuk menunggu penanganan kejadian server down. Upaya mengetahui tingkat kritis server adalah salah satu pencegahan atau mitigasi terhadap gangguan yang beresiko fatal terhadap proses bisnis perusahaan maka dibutuhkan sistem pendukung keputusan. Dalam penelitian ini, penulis membandingkan perhitungan metode logika fuzzy mamdani dengan metode fuzzy sugeno untuk mengukur tingkat kritis server yang digunakan PT Samudera Indonesia Tbk. Penelitian ini menghasilkan sebuah Prototipe yang dibangun dengan Matlab R2013a, dapat digunakan untuk menghitung tingkat kritis pada server. Prototipe tersebut menggunakan dua metode fuzzy mamdani dan fuzzy sugeno. Metode fuzzy mamdani memiliki akurasi rata-rata 85,21%. Dari perhitungan kedua metode tersebut, hasil nilai akurasi yang tertinggi akan dijadikan sebagai acuan dalammenentukan server yang kritis.Kata Kunci: SPK, Server, fuzzy mamdani, fuzzy sugeno, Matlab R2013a","PeriodicalId":405015,"journal":{"name":"bit-Tech","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133922426","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}
This research aims to collaborate between automation systems involving 3 main components namely Actuators, transducers / sensors, and microcontrollers are also implementations of IoT that are implemented in accessing, controlling, supervising, and monitoring all activities that are generally related to warehousing as well as increasing the efficiency and security of those who do not have the authority to access the room. In This research the hardware used as a control system is an integrated circuit board ARDUINO MEGA 2560 based on ATMega2560 Chipset that has 13 I / O pins for analog pins and 40 digital pins, the selection of that number of I / O pins as anticipated if this design will be developed further by using instruments that require hardware to support operational activities in specific warehouses of general, ESP8266 as a module device used for IoT communication using the Blynk application on Smartphone devices, and the RFID Mifare RC522 module used to access the room if there is an internet connection failure
本研究旨在涉及3个主要组件的自动化系统之间的协作，即执行器，传感器/传感器和微控制器，它们也是物联网的实现，用于访问，控制，监督和监控通常与仓储相关的所有活动，以及提高那些无权进入房间的人的效率和安全性。在本研究中，作为控制系统使用的硬件是基于ATMega2560芯片组的集成电路板ARDUINO MEGA 2560，具有13个模拟引脚和40个数字引脚，如果本设计将通过使用需要硬件支持特定仓库操作活动的仪器进一步开发，则选择预期的I / O引脚数量。ESP8266作为模块设备，用于在智能手机设备上使用Blynk应用程序进行物联网通信，RFID Mifare RC522模块用于在互联网连接失败时访问房间
{"title":"Prototype of Warehouse Automation System Using Arduino Mega 2560 Microcontroller Based on Internet of Things","authors":"Yusuf Kurnia, Jeksen Li Sie","doi":"10.32877/BT.V1I3.78","DOIUrl":"https://doi.org/10.32877/BT.V1I3.78","url":null,"abstract":"This research aims to collaborate between automation systems involving 3 main components namely Actuators, transducers / sensors, and microcontrollers are also implementations of IoT that are implemented in accessing, controlling, supervising, and monitoring all activities that are generally related to warehousing as well as increasing the efficiency and security of those who do not have the authority to access the room. In This research the hardware used as a control system is an integrated circuit board ARDUINO MEGA 2560 based on ATMega2560 Chipset that has 13 I / O pins for analog pins and 40 digital pins, the selection of that number of I / O pins as anticipated if this design will be developed further by using instruments that require hardware to support operational activities in specific warehouses of general, ESP8266 as a module device used for IoT communication using the Blynk application on Smartphone devices, and the RFID Mifare RC522 module used to access the room if there is an internet connection failure","PeriodicalId":405015,"journal":{"name":"bit-Tech","volume":"282 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121816667","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}
In this modern era, education begin to use more advanced technology in order to ease their activities such as semester exams. By taking advantage of computer technology in education will make semester exams become simpler during the process of the exam and scoring, as in shuffling the order of the question and scoring become faster and more accurate. Currently, Agathos Vocational High School still use manual exam system, and the process cost is high. They have to print out the test and answer paper, undisciplined students can cheating during exam, mistakes during marking the test, and unorganized archives when filing the student’s results. After finding out the current system in Agathos Vocational High School, To solving their current problems is develop a system that will organize the information electronically in filling the student’s grades and making a random order of questions, using Linear Congruential Generator (LCG) method. This computerized system will help the teachers to making the questions with inputting process, and will be done in three days, marking the answers and filling the grade are automatically done by system, then print it out to be Student’s Report. With using LCG method, can motivating the students to study as the order of the question is randomized by Student’s ID Number, the students will not be able to continue filling their answers after the time is up and this will reducing the possibility of cheating. The time needed to prepare exam questions was reduced from 8 days to 1 day. The system test results is 64% can be accepted by the user.
{"title":"The Analysis and Design Computerized Semester Exams by Randomization Order of The Questions with Linear Congruential Generator Methods (Study Case : Agathos Vocational High School)","authors":"Fernaldi Makmur, Benny Daniawan, Andri Wijaya","doi":"10.32877/BT.V1I3.68","DOIUrl":"https://doi.org/10.32877/BT.V1I3.68","url":null,"abstract":"In this modern era, education begin to use more advanced technology in order to ease their activities such as semester exams. By taking advantage of computer technology in education will make semester exams become simpler during the process of the exam and scoring, as in shuffling the order of the question and scoring become faster and more accurate. Currently, Agathos Vocational High School still use manual exam system, and the process cost is high. They have to print out the test and answer paper, undisciplined students can cheating during exam, mistakes during marking the test, and unorganized archives when filing the student’s results. After finding out the current system in Agathos Vocational High School, To solving their current problems is develop a system that will organize the information electronically in filling the student’s grades and making a random order of questions, using Linear Congruential Generator (LCG) method. This computerized system will help the teachers to making the questions with inputting process, and will be done in three days, marking the answers and filling the grade are automatically done by system, then print it out to be Student’s Report. With using LCG method, can motivating the students to study as the order of the question is randomized by Student’s ID Number, the students will not be able to continue filling their answers after the time is up and this will reducing the possibility of cheating. The time needed to prepare exam questions was reduced from 8 days to 1 day. The system test results is 64% can be accepted by the user.","PeriodicalId":405015,"journal":{"name":"bit-Tech","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132592712","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}
Sales Analysis Using Forecasting Method aims to improve effectiveness and efficiency that facilitates companies in business transaction processes, improve the delivery of information quickly, accurately, and transaction data well and minimize errors. The method used in the presentation of this scientific work is by using a forecasting method which helps determine the approximate stock of goods to come. With 3 forecasting modules are: Moving Average, Weighted Moving Average, Trend Projection is used to perform the forecasting process of the upcoming stock of goods. Can solve problems that exist in the current system so that it can help in improving its services by calculating the stock and helping by determining the average data that has been linked to the forecasting module whose results can be concluded through reports per period. It can be concluded that the results of implementing this new system can help companies in recording each transaction that occurs becomes more efficient and effective, so that it can overcome the problems that exist in the current system. With this we can predict the current flow of goods that have been calculated based on 3 (three) modules that have connections with the system
Sales Analysis Using prediction Method的目的是为了提高企业业务交易流程的有效性和效率，提高信息的传递速度、准确性和交易数据的完整性，最大限度地减少错误。在这项科学工作的介绍中使用的方法是通过使用一种预测方法来帮助确定即将到来的货物的大致库存。有3个预测模块:移动平均，加权移动平均，趋势预测是用来执行即将到来的库存商品的预测过程。可以解决当前系统中存在的问题，从而通过计算库存和确定与预测模块相关联的平均数据来帮助改进其服务，预测模块的结果可以通过每个时期的报告得出。可以得出结论，实施这个新系统的结果可以帮助公司在记录发生的每笔交易时变得更加高效和有效，从而可以克服现有系统中存在的问题。这样，我们就可以根据与系统有连接的3(3)个模块来预测已经计算出来的货物的当前流量
{"title":"Sales Analysis Using the Forecasting Method","authors":"Amesanggeng Pataropura, Riki Riki, Ariadi Saputra","doi":"10.32877/BT.V1I3.79","DOIUrl":"https://doi.org/10.32877/BT.V1I3.79","url":null,"abstract":"Sales Analysis Using Forecasting Method aims to improve effectiveness and efficiency that facilitates companies in business transaction processes, improve the delivery of information quickly, accurately, and transaction data well and minimize errors. The method used in the presentation of this scientific work is by using a forecasting method which helps determine the approximate stock of goods to come. With 3 forecasting modules are: Moving Average, Weighted Moving Average, Trend Projection is used to perform the forecasting process of the upcoming stock of goods. Can solve problems that exist in the current system so that it can help in improving its services by calculating the stock and helping by determining the average data that has been linked to the forecasting module whose results can be concluded through reports per period. It can be concluded that the results of implementing this new system can help companies in recording each transaction that occurs becomes more efficient and effective, so that it can overcome the problems that exist in the current system. With this we can predict the current flow of goods that have been calculated based on 3 (three) modules that have connections with the system","PeriodicalId":405015,"journal":{"name":"bit-Tech","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124650151","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}
Business Intelligence Lifecycle is a method for developing effective business intelligence (BI) decision support applications such as the Academic Dashboard. There are six steps in the BI life cycle from the beginning to implementation such as Justification, Planning, Business Analysis, Design, Construction, and Deployment, where each step is developed to be more detailed in accordance with BI's environmental needs (L. T. Moss). Management of tertiary institutions in Indonesia requires appropriate and fast academic reports that make it possible to make strategic decisions and in order to improve the quality of education. Academic evaluations can be presented with the dashboard being easy for decision making. The dashboard is a page that displays graphics as a KPI from an organization and provides everything needed to make key research results [4]. Problems that occur there are a lot of academic data that is stored but when turning it into a report at the time of evaluation academic activities are difficult and require a long time and require monitoring, evaluation and measurement tools that can measure the performance of universities. The Business Intelligence Lifecycle can be used to provide information to produce high resolution by adding KPI components.
商业智能生命周期是开发有效的商业智能(BI)决策支持应用程序(如学术仪表板)的一种方法。在BI生命周期中，从开始到实现有六个步骤，如论证、计划、业务分析、设计、构建和部署，其中每个步骤都根据BI的环境需求进行了更详细的开发(L. T. Moss)。印度尼西亚高等教育机构的管理需要适当和快速的学术报告，以便能够做出战略决策，并提高教育质量。学术评估可以通过仪表板呈现，便于决策。仪表板是一个页面，它将图形显示为来自组织的KPI，并提供生成关键研究结果所需的一切[4]。出现的问题有很多学术数据是存储的，但在评估学术活动时将其转化为报告是困难的，需要很长时间，需要监控，评估和测量工具来衡量大学的表现。商业智能生命周期可以用来提供信息，通过添加KPI组件来产生高分辨率。
{"title":"Business Intelligent Method For Academic Dashboard","authors":"Niki Destiandi, Aditiya Hermawan","doi":"10.32877/bt.v1i2.42","DOIUrl":"https://doi.org/10.32877/bt.v1i2.42","url":null,"abstract":"Business Intelligence Lifecycle is a method for developing effective business intelligence (BI) decision support applications such as the Academic Dashboard. There are six steps in the BI life cycle from the beginning to implementation such as Justification, Planning, Business Analysis, Design, Construction, and Deployment, where each step is developed to be more detailed in accordance with BI's environmental needs (L. T. Moss). Management of tertiary institutions in Indonesia requires appropriate and fast academic reports that make it possible to make strategic decisions and in order to improve the quality of education. Academic evaluations can be presented with the dashboard being easy for decision making. The dashboard is a page that displays graphics as a KPI from an organization and provides everything needed to make key research results [4]. Problems that occur there are a lot of academic data that is stored but when turning it into a report at the time of evaluation academic activities are difficult and require a long time and require monitoring, evaluation and measurement tools that can measure the performance of universities. The Business Intelligence Lifecycle can be used to provide information to produce high resolution by adding KPI components.","PeriodicalId":405015,"journal":{"name":"bit-Tech","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132031741","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}
The lecturer performance evaluation activity is the routine of an university in continuously improving internal quality as an evaluation and development of educational institutions. Buddhi Dharma University Tangerang, every semester evaluates lecturers' performance. But the results obtained are not optimal, this is due to the absence of an effective and efficient method in determining the results, especially in the Faculty of Science and Technology, Information System Departement. The assessment process is carried out by distributing questionnaire papers and filled out by students. This study aims to analyze the results of the questionnaire, calculated by combining the Analytical Hierarchy Process (AHP) method for weighting and combined the Simple Addictive Weighting (SAW) method for ranking. The results obtained were the level of criteria weighting accuracy reached 90.39% with 28 lecturers which teaching 47 subjects in the Information Systems Departement.
{"title":"Evaluation of Lecturer Teaching Performance Using AHP and SAW Methods","authors":"Benny Daniawan","doi":"10.32877/bt.v1i2.41","DOIUrl":"https://doi.org/10.32877/bt.v1i2.41","url":null,"abstract":"The lecturer performance evaluation activity is the routine of an university in continuously improving internal quality as an evaluation and development of educational institutions. Buddhi Dharma University Tangerang, every semester evaluates lecturers' performance. But the results obtained are not optimal, this is due to the absence of an effective and efficient method in determining the results, especially in the Faculty of Science and Technology, Information System Departement. The assessment process is carried out by distributing questionnaire papers and filled out by students. This study aims to analyze the results of the questionnaire, calculated by combining the Analytical Hierarchy Process (AHP) method for weighting and combined the Simple Addictive Weighting (SAW) method for ranking. The results obtained were the level of criteria weighting accuracy reached 90.39% with 28 lecturers which teaching 47 subjects in the Information Systems Departement.","PeriodicalId":405015,"journal":{"name":"bit-Tech","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133937038","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}
This research is based on the application of data mining processing to produce information that is useful in helping decision making. In this study aims to determine the superior algorithm between C4.5, Naive Bayes and SVM algorithms in predicting which customers who have high potential to open deposits. The data used in this study is secondary data where its data is obtained from the UCI dataset. The comparison results of the accuracy value of C4.5 Algorithm 90.57%, accuracy of Naive Bayes 87.70% and SVM 89.29%. Based on the results of the comparison of accuracy values, it is found that the C4.5 algorithm has the highest level of accuracy. So that the application of supporting applications to predict customers who have the potential to open deposits uses the rules for establishing C4.5 data processing.
{"title":"Comparison of C4.5 Algorithm, Naive Bayes and Support Vector Machine (SVM) in Predicting Customers that Potentially Open Deposits","authors":"Yusuf Kurnia, Kuera Kusuma","doi":"10.32877/bt.v1i2.46","DOIUrl":"https://doi.org/10.32877/bt.v1i2.46","url":null,"abstract":"This research is based on the application of data mining processing to produce information that is useful in helping decision making. In this study aims to determine the superior algorithm between C4.5, Naive Bayes and SVM algorithms in predicting which customers who have high potential to open deposits. The data used in this study is secondary data where its data is obtained from the UCI dataset. The comparison results of the accuracy value of C4.5 Algorithm 90.57%, accuracy of Naive Bayes 87.70% and SVM 89.29%. Based on the results of the comparison of accuracy values, it is found that the C4.5 algorithm has the highest level of accuracy. So that the application of supporting applications to predict customers who have the potential to open deposits uses the rules for establishing C4.5 data processing.","PeriodicalId":405015,"journal":{"name":"bit-Tech","volume":"254 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133190175","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}
An agency cannot be separated from the role of human resources (HR) working in it. The quality of human resources is one factor to improve the productivity of an institution's performance. Therefore, an assessment in employee selection is an important part of providing qualified employees for the company. Problems that occur in CV Techindo Global Solutions is the process of receiving employees who are still using the manual way and based on subjective assessment results so that the process of acceptance of employees to be slow and inaccurate. The absence of an application program in support of decision making for employee recruitment. Based on this, the author designed the decision support system of employee appraisal on CV. Techindo Global Solutions using AHP (Analytic Hierarchy Process) and TOPSIS (Technique For Order Preference by Similarity to Ideal Solution) methods. Employee acceptance system is done by using Analytic Hierarchy Process method to determine the weight of each criterion and the use of Technique For Order Performance by Similarity to Ideal Solution to conduct ranking alternatives in the form of employee data. This system is built with PHP and MySQL programming language as database. With the program using AHP and TOPSIS method, the new employee's assessment is better than the individual assessment and with the decision support information system, the process of receiving the employee can be helped from the evaluation side.
一个机构不能脱离在其中工作的人力资源(HR)的角色。人力资源的质量是提高机构绩效生产力的一个因素。因此，在员工选拔中进行考核是为企业提供合格员工的重要环节。CV Techindo Global Solutions存在的问题是接收员工的过程中仍然使用人工的方式，并且基于主观的评估结果，使得员工的接受过程缓慢且不准确。缺乏支持员工招聘决策的应用程序。在此基础上，设计了基于简历的员工评价决策支持系统。Techindo全球解决方案采用AHP(层次分析法)和TOPSIS(理想解相似性排序偏好技术)方法。员工接受度系统采用层次分析法确定各指标的权重，并采用与理想解相似的顺序绩效技术以员工数据的形式进行排序替代。本系统采用PHP和MySQL编程语言作为数据库。采用AHP和TOPSIS方法的方案，对新员工的评估优于个人评估，通过决策支持信息系统，可以从评估方帮助接收员工的过程。
{"title":"Design of Acceptance Decision Support System for New Employees in the Technician Position Using AHP and TOPSIS Methods at CV. Techindo Global Solution","authors":"Domi Setiawan, Riki Riki, Yo Ceng Giap","doi":"10.32877/bt.v1i2.5","DOIUrl":"https://doi.org/10.32877/bt.v1i2.5","url":null,"abstract":"An agency cannot be separated from the role of human resources (HR) working in it. The quality of human resources is one factor to improve the productivity of an institution's performance. Therefore, an assessment in employee selection is an important part of providing qualified employees for the company. Problems that occur in CV Techindo Global Solutions is the process of receiving employees who are still using the manual way and based on subjective assessment results so that the process of acceptance of employees to be slow and inaccurate. The absence of an application program in support of decision making for employee recruitment. Based on this, the author designed the decision support system of employee appraisal on CV. Techindo Global Solutions using AHP (Analytic Hierarchy Process) and TOPSIS (Technique For Order Preference by Similarity to Ideal Solution) methods. Employee acceptance system is done by using Analytic Hierarchy Process method to determine the weight of each criterion and the use of Technique For Order Performance by Similarity to Ideal Solution to conduct ranking alternatives in the form of employee data. This system is built with PHP and MySQL programming language as database. With the program using AHP and TOPSIS method, the new employee's assessment is better than the individual assessment and with the decision support information system, the process of receiving the employee can be helped from the evaluation side.","PeriodicalId":405015,"journal":{"name":"bit-Tech","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130089331","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}
The development of the number of Private Universities in Indonesia requires Private Universities to have good Performance and Quality. Private Universities must apply a new angle of thinking that contains elements of flexibility, speed, innovation, and integration. Flexibility, speed, innovation and integration really need human resources full of creativity. Creativity can arise from human resources who have excellence in science. Thus, Private Universities is expected to not only be able to produce the best graduates, but also be able to develop two things contained in the Tri Dharma of higher education, namely researching the results of high-quality research and developing technology for community service. For that Private Universities must always be able to adapt, develop and make improvements through organizational learning. This study aims to determine the strategy model for improving performance using a combination of AHP (Analytical Hierarchy Process) and Multivariate Data Analysis (MDA) methods. The sample of this research is management that manages Private Universities (Private Universities leaders) from several Private Universities in the Province of Lamping. AHP (Analytical Hierarchy Process) method is an analytical tool that can be used to make decisions on conditions with complex factors, especially if the decision is subjective. While the Multivariate Data Analysis (MDA) method refers to the statistical technique used to analyze data that appears from more than one variable. The results of this study indicate that there is a significant effect. Organizational Learning Factors, External Environment, Reputation, Competence, Professionalism, and Performance have a significant effect on Private Private Universities Performance. These criteria and sub-criteria are used as references for Private Universities management as a strategy to improve Private Universities performance in Lampung Province. This is basically a model of reality where each decision involves more than one single variable. This research is important to determine the best model in Private Universities Performance Improvement strategies. The results of this study contributed to the decision maker or management of Private Universities as a reference material in the member policies in improving the Performance of Private Universities
{"title":"Model Design of Performance Improvement Strategy of Private Higher Education Using Analytic Hierarchy Process (AHP) Method and Mutivariate Data Analysis (MDA)","authors":"S. Hartati, Kenny Puspita Sari, Satria Abadi","doi":"10.32877/bt.v1i2.33","DOIUrl":"https://doi.org/10.32877/bt.v1i2.33","url":null,"abstract":"The development of the number of Private Universities in Indonesia requires Private Universities to have good Performance and Quality. Private Universities must apply a new angle of thinking that contains elements of flexibility, speed, innovation, and integration. Flexibility, speed, innovation and integration really need human resources full of creativity. Creativity can arise from human resources who have excellence in science. Thus, Private Universities is expected to not only be able to produce the best graduates, but also be able to develop two things contained in the Tri Dharma of higher education, namely researching the results of high-quality research and developing technology for community service. For that Private Universities must always be able to adapt, develop and make improvements through organizational learning. This study aims to determine the strategy model for improving performance using a combination of AHP (Analytical Hierarchy Process) and Multivariate Data Analysis (MDA) methods. The sample of this research is management that manages Private Universities (Private Universities leaders) from several Private Universities in the Province of Lamping. AHP (Analytical Hierarchy Process) method is an analytical tool that can be used to make decisions on conditions with complex factors, especially if the decision is subjective. While the Multivariate Data Analysis (MDA) method refers to the statistical technique used to analyze data that appears from more than one variable. The results of this study indicate that there is a significant effect. Organizational Learning Factors, External Environment, Reputation, Competence, Professionalism, and Performance have a significant effect on Private Private Universities Performance. These criteria and sub-criteria are used as references for Private Universities management as a strategy to improve Private Universities performance in Lampung Province. This is basically a model of reality where each decision involves more than one single variable. This research is important to determine the best model in Private Universities Performance Improvement strategies. The results of this study contributed to the decision maker or management of Private Universities as a reference material in the member policies in improving the Performance of Private Universities","PeriodicalId":405015,"journal":{"name":"bit-Tech","volume":"2 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130272160","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}
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