Joutica : Journal of Informatic Unisla
Topics cover the following areas (but are not limited to): Enterprise Systems (ES) Enterprise Resource Planning Business Process Management Customer Relationship Management Marketing Analytics System Dynamics E-business and e-Commerce Marketing Analytics Supply Chain Management and Logistics Business Analytics and Knowledge Discovery Production Management Task Analysis Process Mining Discrete Event Simulation Service Science and Innovation Innovation in the Digital Economy Information Systems Management (ISM) Software Engineering Software Design Pattern System Analysis and Design Software Quality Assurance Green Technology Strategies Strategic Information Systems IT Governance and Audits E-Government IT Service Management IT Project Management Information System Development Research Methods of Information Systems Adoption and Diffusion of Information Technology Health Information Systems and Technology Accounting Information Systems Human Behavior in Information System Social Technical Issues and Social Inclusion Domestication of Information Technology ICTs and Sustainable Development Information System in developing countries Software metric and cost estimation IT/IS audit IT Risk and Management Data Acquisition and Information Dissemination (DAID) Open Data Social Media Knowledge Management Social Networks Big Data Web Services Database Management Systems Semantics Web and Linked Data Visualization Information Social Information Systems Social Informatics Spatial Informatics Systems Geographical Information Systems Data Engineering and Business Intelligence (DEBI) Business Intelligence Data Mining Intelligent Systems Artificial Intelligence Autonomous Agents Intelligent Agents Multi-Agent Systems Expert Systems Pattern Recognition Machine Learning Soft Computing Optimization Forecasting Meta-Heuristics Computational Intelligence Decision Support Systems IT Infrastructure and Security (ITIS) Information Security and Privacy Digital Forensics Network Security Cryptography Cloud and Virtualization Emerging Technologies Computer Vision and Image Ethics in Information Systems Human Computer Interaction Wireless Sensor Networks Medical Image Analysis Internet of Things Mobile and Pervasive Computing Real-time Systems and Embedded Systems Parallel and Distributed Systems
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<![CDATA[SISTEM PENDUKUNG KEPUTUSAN PENJURUSAN SISWA PADA SMA PANCAMARGA 1 LAMONGAN MENGGUNAKAN METODE FUZZY ]]>
<![CDATA[Ahmad Fathoni]]>;
<![CDATA[Mustain Mustain]]>;
<![CDATA[Retno Wardhani]]>
<![CDATA[ Joutica Vol 3, No 1 (2018) ]]>
Publisher : <![CDATA[Universitas Islam Lamongan ]]>
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DOI: 10.30736/jti.v3i1.202
<![CDATA[must know what factors affect the performance of teachers. The results of the analysis will be beneficial to make the education development program optimally and it is very necessary to advance the quality of education. Students need special attention from the government and society therefore the government regulates the improvement of the quality of teachers or teachers nationally through Law No. 20 of 2003 on National education system. In order to enforce the law, the government issued Regulation No. 19 of 2004 on the National Education standard. Therefore developed sebi student decision support system on the sma pancamarga 1 Lamongan using fuzzy.]]>
<![CDATA[KLASIFIKASI OPINI GREEN AND CLEAN KABUPATEN LAMONGAN MENGGUNAKAN ALGORITMA MULTINOMIAL NAIVE BAYES ]]>
<![CDATA[Agus Setia Budi]]>
<![CDATA[ Joutica Vol 3, No 1 (2018) ]]>
Publisher : <![CDATA[Universitas Islam Lamongan ]]>
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DOI: 10.30736/jti.v3i1.198
<![CDATA[This study aims to process and classify an opinion (Opinion mining), opinion is a subjective statement that reflects public sentiment or perception of the entity or activity. Most opinions has not been managed well, if The Opinions properly managed will provide important information can be used to make improvements toward better at an activity or program. This study focuses on the processing of opinions that come from public opinion In Lamongan against LGC program which includes cleanliness, green and financial. The study was divided into two phases, namely the training process to produce data (dataset) to perform the classification process and the subjective (datates). Both processes are aimed to extract attributes and object components that have been commented upon in any document and to determine whether positive or negative comments. The results of the subjective test classification using Multinomial Naive Bayes algorithm has a success rate above 80% classification accuracy when it is matched with the manual classification]]>
<![CDATA[KLASIFIKASI KATEGORI BUKU PADA PERPUSTAKAAN TEKNIK INFORMATIKA UNIVERSITAS ISLAM LAMONGAN ]]>
<![CDATA[Nurul Qomariyah]]>;
<![CDATA[Nur Nafi’iyah]]>;
<![CDATA[Ayu Ismi Hanifah]]>
<![CDATA[ Joutica Vol 3, No 1 (2018) ]]>
Publisher : <![CDATA[Universitas Islam Lamongan ]]>
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DOI: 10.30736/jti.v3i1.203
<![CDATA[The large number of library materials in the form of new book available in the library every year cause officer have difficulty in classification process book. Similarly, faced by librarian of Islamic University of Lamongan became the object of this research, determining the type or category of book at first the usual system. The process is made a lot of errors because it is based on the knowledge of officers from reading the title or the appropriate category so that makes it difficult for library users to find the materials needed. Application applied in the research is a data classification application that is done automatically using the application developed by Naive Bayes Classifier method with the application of client software web-based. Web-based server application function to input book by administrator and to classify data book based on the title. Based on the experience, and then in this research built an Classification Of Books Category At The Islamic University Of Lamongan Engineering Library]]>
<![CDATA[SISTEM INFORMASI BURSA KERJA KHUSUS DENGAN REKOMENDASI MENGGUNAKAN METODE CONTENT BASED FILTERING DI STMIK YADIKA BANGIL ]]>
<![CDATA[M. Noval Riswandha]]>;
<![CDATA[Miftakhul Nuryuda]]>
<![CDATA[ Joutica Vol 3, No 1 (2018) ]]>
Publisher : <![CDATA[Universitas Islam Lamongan ]]>
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DOI: 10.30736/jti.v3i1.199
<![CDATA[The author makes a special job stock information system (BKK) in STMIK YADIKA Bangil because the job search process for alumni students is currently running less effectively, alumni students should seek information to BKK officers, while BKK officers have to look for alumni data who have not got a job. Therefore, the authors make a special job market information system with recommendations using content based filtering method. Content based filtering method can be used to suggest job vacancy information in accordance with user profile or job seeker so as to facilitate the information search process.System of recommendation in the application of special job market is used to recommend the right job vacancy information for the alumni of the student.In this system expected alumni students Can receive job vacancy information properly and in accordance with the criteria it has]]>
<![CDATA[PEMBANGKITAN DATA UJI BERBASIS DIAGRAM AKTIVITAS DAN DIAGRAM STATECHART ]]>
<![CDATA[Arif Rahman Sujatmika]]>;
<![CDATA[Yanuangga Gala Hartlambang]]>
<![CDATA[ Joutica Vol 3, No 1 (2018) ]]>
Publisher : <![CDATA[Universitas Islam Lamongan ]]>
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DOI: 10.30736/jti.v3i1.200
<![CDATA[Testing is the stage of software development used to determine whether a software is ready for release or not. In making test cases using reference activity diagrams and statechart diagrams, a help representation was made, ie State-Activity-Diagram (SAD). The generation of test cases using a reference between the statechart diagram and the status diagram is still inadequate because in the case of the test produced there is no test data. The selection of test data for many test cases will be tedious and time consuming. In this paper, it is proposed to generate test data automatically based on existing test cases. Test data created based on class diagrams, and data dictionaries. The test case data consists of inputs and results. First enter information about the functions involved in the test case into the SAD node so that the SAD-S Diagram is obtained. Second, after the process of making the test case is completed, the test data is made by looking at the data dictionary function so that the test data is formed.]]>
<![CDATA[SISTEM APLIKASI BERBASIS OPTIMASI METODE ELBOW UNTUK PENENTUAN CLUSTERING PELANGGAN ]]>
<![CDATA[Elly Muningsih]]>;
<![CDATA[Sri Kiswati]]>
<![CDATA[ Joutica Vol 3, No 1 (2018) ]]>
Publisher : <![CDATA[Universitas Islam Lamongan ]]>
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DOI: 10.30736/jti.v3i1.196
<![CDATA[Customer is a very important asset for the company. Having customers who are loyal to the company is an absolute and important for the progress of the company. This study aims to help companies, especially in the online shop to create a better customer management by identifying and grouping customers into several clusters or groups to know the characteristics of their loyalty to the company. The method used in this research is K-Means method which is one of the best and most popular method in clustering algorithm. To overcome the weakness of the K-Means method in determining the number of clusters, we use the Elbow method where this method gets the comparison of the number of clusters added by calculating the SSE (Sum of Square Error) of each cluster value. This research starts from collecting the necessary data and will be processed. From total transaction data 478 then done cleaning of data and result 73 data. Then the data processed with RapidMiner software from Cluster 2 up to 10 to search the data center of each cluster. From the calculated SSE value found that the best number of clusters is 3. The end result of the research is a Visual Basic based application program that is expected to provide ease in grouping or clustering customers. Software development method using Waterfall method.]]>
<![CDATA[PENERAPAN ALGORITMA C4.5 UNTUK PREDIKSI TINGKAT KOMPETENSI KARYAWAN PT MULTISTRADA ARAH SARANA ]]>
<![CDATA[Wahyono Wahyono]]>;
<![CDATA[Agung Nugroho]]>
<![CDATA[ Joutica Vol 3, No 1 (2018) ]]>
Publisher : <![CDATA[Universitas Islam Lamongan ]]>
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DOI: 10.30736/jti.v3i1.201
<![CDATA[The success of an organization or company is influenced by the competence of human resources in it in carrying out its duties. Assessment of competence in the company is very important because it is necessary to determine the level of competence of employees. So far, the competency level assessment is still done manually by providing certain criteria by the Personnel Department (HRD). The number of criteria and employees employed is quite difficult in the assessment of employee competency. In addition, the quality of employee work is also often changing. This is very influential on the future prospects of the company. The purpose of this study is to analyze and know the pattern of employee competency level. The research method used is Decission Tree Learning (DCT). The C4.5 algorithm is part of DCT. Algorithm C4.5, the data mining technique to create a decision tree that represents rules or rules. Of the 257 overall employee data is divided into two partitions, 80% for training data and 20% data testing. The result of application of algorithm C4.5 got its accuracy 80,39% with calculation of RapidMiner 5.3. This research produces a pattern of competency level that can be used by PT Multistrada Arah Sarana for employee monitoring process to determine whether or not to need training or promotion promotion]]>
<![CDATA[SISTEM INFORMASI PENGELOLAAN NILAI MAHASISWA BERBASIS WEB PADA STMIK STIKOM INDONESIA ]]>
<![CDATA[Komang Kurniawan Widiartha]]>;
<![CDATA[Made Dona Wahyu Aristana]]>
<![CDATA[ Joutica Vol 3, No 1 (2018) ]]>
Publisher : <![CDATA[Universitas Islam Lamongan ]]>
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DOI: 10.30736/jti.v3i1.197
<![CDATA[The scores management system conducted by the STMIK STIKOM Indonesia institution is still done manually, where the lecturer writes in the form of physical or paper assessment which is then re-input by the staff of the Academic Administration Bureau (BAAK) into the existing system. This has an impact on the ineffectiveness and inefficiency in the process of scores management and presentation in the form of report on the recapitulation of values that require long enough for the students. It takes a computerized system in the management of values that can accelerate the process of scores management, where the lecturers directly perform input and scores management into a system that is synchronized with the academic system as well as information in the form of a report of value to the party in need. The system to be designed and built is a web-based student information management system. In this study, the main objective is to facilitate lecturers and staff in the management of student scores and manufacture of computerized assessment report recapitulation.]]>
