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<![CDATA[Texture Characteristic of Local Binary Pattern on Face Recognition with Probabilistic Linear Discriminant Analysis ]]>
<![CDATA[Isnawati Muslihah]]>;
<![CDATA[Muqorobin Muqorobin]]>
<![CDATA[ International Journal of Computer and Information System (IJCIS) Vol 1, No 1 (2020): IJCIS : Vol 1 - Issue 1 - 2020 ]]>
Publisher : <![CDATA[Institut Teknologi Bisnis AAS Indonesia ]]>
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DOI: 10.29040/ijcis.v1i1.10
<![CDATA[Face recognition is an identification system that uses the characteristics of a person's face for processing. There is a feature in the face image so that it can be distinguished between one face and another face. One way to recognize face images is to analyze the texture of the face image. Texture analysis generally requires a feature extraction process. In different images, the characteristics will also differ. This characteristic will be the basis for the recognition of facial images. However, existing face recognition methods experience efficiency problems and rely heavily on the extraction of the right features. This study aims to study the texture characteristics of the extraction results using the Local Binary Pattern (LBP) method which is applied to deal with the introduction of Probabilistic Linear Discriminant Analysis (PLDA). The data used in this study are human face images from the AR Faces database, consisting of 136 objects (76 men and 60 women), each of which has 7 types of images Based on the results of testing shows the LBP method can produce the highest accuracy with a value of 95.53% in the introduction of PLDA.]]>
<![CDATA[Web Based Distribution of Zakat, Infaq, and shodaqoh (Case Study Of Surakarta City Region) ]]>
<![CDATA[Ihsan Cahyo Utomo]]>;
<![CDATA[Siti Rokhmah]]>;
<![CDATA[muqorobin muqorobin]]>;
<![CDATA[Isnawati Muslihah]]>
<![CDATA[ International Journal of Computer and Information System (IJCIS) Vol 1, No 1 (2020): IJCIS : Vol 1 - Issue 1 - 2020 ]]>
Publisher : <![CDATA[Institut Teknologi Bisnis AAS Indonesia ]]>
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DOI: 10.29040/ijcis.v1i1.4
<![CDATA[Abstract— Zakat is one of the pillars of Islam whose implementation is required for all Muslims whose wealth meets the Nisab. Nisab is a standard of property that must be Zakati. Because Zakat is the property of the people, the management must be properly channeled. Surakarta city is one of the major cities in Indonesia, there are several institutions of amil Zakat in the city of solo. However, there is no data on the distribution of Zakat in the integrated solo city, so that there are still many recipients of Zakat who receive alms from several amil Zakat. In this study, mapping of Zakat, Infaqand shadaqoh mapping was carried out with a Geographical Information System (GIS). This study aims to produce a deeper analysis of the socioeconomic life in the city of Surakarta as a basis for mapping the distribution of Zakat, Infaq, andShodaqoh. The method used to collect data with rapid appraisal. Where rapid appraisal is a method used to collect data based on socio-economic conditions in the environment, so as to produce a picture of mapping the distribution of Zakat, Infaq, andShodaqoh which is used as a reference for amil Zakat institutions in the Surakarta region to spread.]]>
<![CDATA[Estimation System For Late Payment Of School Tuition Fees ]]>
<![CDATA[Muqorobin Muqorobin]]>;
<![CDATA[Kusrini Kusrini]]>;
<![CDATA[Siti Rokhmah]]>;
<![CDATA[Isnawati Muslihah]]>
<![CDATA[ International Journal of Computer and Information System (IJCIS) Vol 1, No 1 (2020): IJCIS : Vol 1 - Issue 1 - 2020 ]]>
Publisher : <![CDATA[Institut Teknologi Bisnis AAS Indonesia ]]>
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DOI: 10.29040/ijcis.v1i1.5
<![CDATA[The Surakarta Al-Islam Vocational School is a private educational institution that requires all students to pay school tuition fees. Education is an obligation for all Indonesian citizens. The cost of education is one of the most important input components in implementing education. Because cost is the main requirement in achieving educational goals. SPP School is a routine school fee that is carried out every month. Based on last year's School Admin report, many students were late in paying school tuition fees, around 60%. This is a very big problem because the income of school funds comes from school tuition. The purpose of this research is that the researcher will build a prediction system using the best classification method, which is to compare the accuracy level of the Naïve Bayes method with the K-K-Nearest Neighbor method. Because both methods can make class classifications right or late, in paying school fees. processing using dapodic data for 2017/2018 as many as 236 data. In improving accuracy, the researcher also applies feature selection with Information Gain, which is useful for selecting optimal parameters. System testing is carried out using the Confusion Matrix method. The final results of this study indicate that the Naïve Bayes Method + Information Gain Method produces the highest accuracy, namely 95% compared to the Naïve Bayes method alone, namely 85% and the K-NN method, namely 81%.]]>
<![CDATA[Classification of Community Complaints Against Public Services on Twitter ]]>
<![CDATA[Muqorobin Muqorobin]]>;
<![CDATA[Siti Rokhmah]]>;
<![CDATA[Isnawati Muslihah]]>;
<![CDATA[Nendy Akbar Rozaq Rais]]>
<![CDATA[ International Journal of Computer and Information System (IJCIS) Vol 1, No 1 (2020): IJCIS : Vol 1 - Issue 1 - 2020 ]]>
Publisher : <![CDATA[Institut Teknologi Bisnis AAS Indonesia ]]>
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DOI: 10.29040/ijcis.v1i1.6
<![CDATA[Abstract— Information on public services is an important part of increasing community satisfaction with government policies. Complaints and Complaints of the community become mediators to improve public services according to community needs.Twitter is one of the most widely used social media in the community to post activities, experiences, and complaints about public services through the internet easily and realtime.The amount of information on Twitter is mixed between satisfaction and extensibility of public services, making it difficult for the government to make decisions in public policy. The role of Big Data can be a solution to classifying data to predict satisfaction or extensibility of public services with parameters: markets, transportation and hospitals.Data sources taken from Twitter are 700 data texts. The twitter classification of public service complaints is built using the Naïve Bayes Algorithm Method, because the algorithm can classify based on probability values. Text processing is done by filtering text and selecting text to be ordered.The results of this study indicate that the Naïve Bayes Method is able to properly classify public service complaints based on 3 parameters, transportation, markets and hospitals. System testing using 700 data obtained the best results accuracy value: 86%, and precision: 72%, recall 81% and f-measure: 83%.]]>
<![CDATA[Binary Log Analysis on MySQL to Help Investigation Process Against Database Privillege Attacks ]]>
<![CDATA[Siti Rokhmah]]>;
<![CDATA[Ihsan Cahyo Utomo]]>
<![CDATA[ International Journal of Computer and Information System (IJCIS) Vol 1, No 1 (2020): IJCIS : Vol 1 - Issue 1 - 2020 ]]>
Publisher : <![CDATA[Institut Teknologi Bisnis AAS Indonesia ]]>
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DOI: 10.29040/ijcis.v1i1.7
<![CDATA[Abstract—Database is an important part in managing information, because a database is a collection of data that is processed to produce information. because of the importance of the database, many crimes are directed to attack the database, both attacks against access rights or attacks against the data itself. My SQL is a Database Management System (DBMS) that provides several facilities, one of which is the logging facility. Binary Log is a type of database log in the form of binary digits that contains some information including the record of the time of the transaction, the user who made the transaction and the order in the transaction. With the Binary Log, it can be seen when the transaction occurred, who made the transaction and what transaction occurred in the database. The recording of transactions in the Binary Log can be used as one way to carry out an investigation process in the event of an attack on the database. In this study the focus is on analyzing transaction records in binary logs, namely when, who, dam and what information can be taken from the Binary Log. The output of this research is a table of binary log investigation results and its relation to database attacks.]]>
<![CDATA[Employee Payroll Information System On Company Web-Based Consultant Engineering Services ]]>
<![CDATA[Itsney Nur Hikmah]]>;
<![CDATA[Muqorobin Muqorobin]]>
<![CDATA[ International Journal of Computer and Information System (IJCIS) Vol 1, No 2 (2020): IJCIS : Vol 1 - Issue 2 - 2020 ]]>
Publisher : <![CDATA[Institut Teknologi Bisnis AAS Indonesia ]]>
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DOI: 10.29040/ijcis.v1i2.11
<![CDATA[Consulting Engineering Services is a company engaged in building construction consulting services. In this company in processing employee salaries still use manual calculations and use the Ms. Excel program. This can lead to errors in calculating employee salaries and the process of printing employee salary slips which takes a long time. In solving this problem, the authors designed an employee payroll information system. In this design, the authors use the PHP programming language. The method in this research is the Waterfal Method. The method in this research is through observation, interview, documentation and literature study. The system design is made using Contex Diagram, HIPO, Input Output Design, relationships between tables and database design. The system is made in a program with the PHP programming language with a database format using MySQL. The result of this design is to produce an application program that will be used to process web-based employee salaries in CV. Consulting Engineering Services and it is hoped that companies will find it easier to input data and compile payroll reports to be faster and more efficient]]>
<![CDATA[Transaction Processing System Analysis Using The Distribution Management System (DMS) Nexsoft Distribution 6 (ND6) ]]>
<![CDATA[Isnawati Muslihah]]>;
<![CDATA[Sofia Agustin Nastura]]>
<![CDATA[ International Journal of Computer and Information System (IJCIS) Vol 1, No 2 (2020): IJCIS : Vol 1 - Issue 2 - 2020 ]]>
Publisher : <![CDATA[Institut Teknologi Bisnis AAS Indonesia ]]>
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DOI: 10.29040/ijcis.v1i2.12
<![CDATA[Distribution Management system (DMS) is an application that manages almost the entire processing of sales orders, purchases, inventory management and financial accounting. The DMS application is only intended for specific types of distribution businesses than other types of businesses, which are at least able to provide a much higher level of functionality, specifically for the needs of distribution companies. This research was conducted at PT. Succeed which is a food distribution company. The daily transaction processing system at this company uses DMS Nexsoft Distribution 6 (ND6). NexSoft Distribution 6 (ND6) is the main operating system for any trading business in carrying out daily activities. NexSoft distribution is produced by PT. Paramadaksa Teknologi Nusantara which is a company engaged in Information Technology (IT), which is headquartered in the Tangerang area.]]>
<![CDATA[Web Based Fosti Information System at Muhammadiyah University of Surakarta ]]>
<![CDATA[Nendy Akbar Rozaq Rais]]>;
<![CDATA[Aini Zahra]]>
<![CDATA[ International Journal of Computer and Information System (IJCIS) Vol 1, No 2 (2020): IJCIS : Vol 1 - Issue 2 - 2020 ]]>
Publisher : <![CDATA[Institut Teknologi Bisnis AAS Indonesia ]]>
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DOI: 10.29040/ijcis.v1i2.13
<![CDATA[Abstract—The student unit activity is an institution to achieve goals by holding events within the institution. FOSTI is one of the student activity units on the campus of the Muhammadiyah University of Surakarta that uses a web-based information system, of course in this application to make it easier to collect data or register for events being held. The purpose of this final semester assignment is to find out how to make or design an application system and train to analyze the existing system and evaluate the deficiencies in the system to the user. The registration process for event participants is done manually, often incorrectly in recording or data collection of event participants and creating piles of data in the form of papers, allowing data to be inserted due to negligence on the part of the committee. To solve this problem, it is necessary to have a registration application system. Making this system using the framework system Laravel Based Framework. Used to find easy alternatives. The method in this management information system uses Laravel Based. Making a system in a program with the PHP programming language, the process of registering events held by the laravel based method can facilitate the registration and data collection process, which previously used the manual method which took quite a long time. The method in this research uses the method of observation, interviews, and literature study. for designing the system using Contex Diagram, HIPO, and DAD. The purpose of this study is to find out how to make or design an application system and train to analyze existing systems and evaluate the deficiencies of the system to the user. The final result in the registration process and event data collection is in the form of types of events in the FOSTI organization, Muhammadiyah University of Surakarta and participant data reports.]]>
<![CDATA[Evaluation Information System Using UTAUT (Case Study : UMS Vocational School) ]]>
<![CDATA[Nendy Akbar Rozaq Rais]]>;
<![CDATA[Muqorobin Muqorobin]]>
<![CDATA[ International Journal of Computer and Information System (IJCIS) Vol 1, No 2 (2020): IJCIS : Vol 1 - Issue 2 - 2020 ]]>
Publisher : <![CDATA[Institut Teknologi Bisnis AAS Indonesia ]]>
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DOI: 10.29040/ijcis.v1i2.14
<![CDATA[Abstract—This admissions study evaluates users and the use of models for the Vocational School information system at the Muhammadiyah University of Surakarta with the UTAUT model by Venkatesh (2003) which has been modified by adding the System Service and Information Quality variables. The respondents are 100 students. From the results of the F and T tests, it is concluded that the variables Performance Expectance, Effort Expectance, Social Influence, System Service and Information Quality have an influence on Behavioral Intention, but only Social Influence and System Service variables have a significant partial effect on Behavioral Intention. In addition, another result is the variable Facilitating Condition and Behaviural Intention simultaneously affect Behavioral Usage. Validity, reliability and assumptions of classical test data show value as a measure of this analysis.]]>
<![CDATA[Analysis of the Role of Information Systems Technology in Lecture Learning during the Corona Virus Pandemic ]]>
<![CDATA[Muqorobin Muqorobin]]>;
<![CDATA[Nendy Akbar Rozaq Rais]]>
<![CDATA[ International Journal of Computer and Information System (IJCIS) Vol 1, No 2 (2020): IJCIS : Vol 1 - Issue 2 - 2020 ]]>
Publisher : <![CDATA[Institut Teknologi Bisnis AAS Indonesia ]]>
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DOI: 10.29040/ijcis.v1i2.15
<![CDATA[Abstract— At this time the spread of the Corona Covid-19 Virus was sweeping the world, Indonesia was also affected, especially in the world of education where the teaching and learning process was usually carried out face-to-face in the classroom. So as a result of this pendemi the teaching and learning process must be done online. The role of information systems technology is very meaningful in lecture learning. This study aims to analyze a model of campus learning conditions and the role of information system technology in college learning amid the COVID-19 corona virus pandemic at STMIK Sinar Nusantara Surakarta. The research method is to make observations and literature studies to obtain data and information used in research. The results of this study indicate the use of information technology has a very important role in the implementation of online distance learning in the midst of the corona covid 19 virus pandemic, among online online media such as: google classroom, whatsapp, zoom. Of the online learning media, it is proven that Google Classroom: 55.9% is widely used as media for sharing materials and assignments, while video conferences lectures are the most users of Google Meet as much as: 70.6%. The results of the analysi s of the online learning value are: 44.1%. Based on this data, it shows that the role of information system technology plays an important role and helps in the teaching and learning process amid the Covid-19 corona virus pandemic.]]>
