cover
Contact Name
Purnomo Hadi Susilo
Contact Email
teknikinformatika_unisla@yahoo.co.id
Phone
+6285733290212
Journal Mail Official
teknikinformatika_unisla@yahoo.co.id
Editorial Address
Joutica : Journal of Informatic Unisla Program Studi Teknik Informatika - Fakultas Teknik - Universitas Islam Lamongan Jl. Veteran 53 A Lamongan
Location
Kab. lamongan,
Jawa timur
INDONESIA
Joutica : Journal of Informatic Unisla
ISSN : 2503071X     EISSN : 2621511X     DOI : https://doi.org/10.30736/jti.v7i1.747
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
Articles 8 Documents
Search results for , issue "Vol 2, No 2 (2017)" : 8 Documents clear
PERANCANGAN SISTEM KOREKSI OTOMATIS UJIAN ONLINE MULTIPLE CHOICE DAN ESSAY PADA KULIAH MIKROPROSESOR BERBASIS TF-IDF DAN VEKTOR SPACE MODEL DI STMIK ASIA MALANG Tria Aprilianto; Jaenal Arifin
Joutica Vol 2, No 2 (2017)
Publisher : Universitas Islam Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (195.882 KB) | DOI: 10.30736/jti.v2i2.70

Abstract

In this research will be developed an online-based system (website) that is able to conduct assessment or correction of the results of semester midterm or semester end automatically. About the exam given the system in the form of multiple choice and essay. Multiple choice selection process is done automatically by the system by automatically matching the results with the answer given by the lecturer, while the process of essay system essay giving a slightly different treatment that is by looking for similarity value / proximity to query or answer and alternative the answer given by the lecturer. The process of calculating similarity search between answers and queries is done by weighting TF-IDF (Term Frecuency - Invers Document Frecuency) and vector Space Modeling (Space Modeling Vector). TF-IDF is a term weighting method that is widely used as a benchmark against new weighting methods. In this method, the calculation of term t weight in a document is done by multiplying the value of Term Frequency with Inverse Document Frequency. The result of this Weighting is the similarity value of the document with the query. While the vector space modeling in this study is used to improve the value of similarity generated by weighting TF-IDF so that it is not possible to occur two the same highest value. The result of the method and modeling is then modified again so that it becomes a value that corresponds to the value (the desired answer rating weight). The process of preprocessing is done by the collection of documents obtained on the final exam of even semester microprocessor courses. From the results of the tests conducted then in this study it is concluded that the system built in www.ujianasia.net can work with the maximum and test algorithm done got 100% recall value, 85.4% precision and accuracy and similarity system against the answer given is 92.4%.
APLIKASI GAME PETUALANGAN SI KANCIL BERBASIS ANDROID Erin masfufah; M Ghofar Rohman; Purnomo Hadi Susiolo
Joutica Vol 2, No 2 (2017)
Publisher : Universitas Islam Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (157.065 KB) | DOI: 10.30736/jti.v2i2.65

Abstract

Games are actually very important for the development of the human brain because a human will start thinking when faced with a problem. While in a game, the user is faced with various problems and required to solve them so that the user can finish or even win the game being played. The purpose of this research is to make adventure genred game with educational content and change the paradigm of the most users about the character of Kancil who is famous by stealing cucumbers because in this game Kancil is portrait trying to collect coins and find golden cucumbersby passing various obstacles on his way. This game is made using Construct 2 application and presented with visual media images completed with good sound to make this game more interesting. This game is as a medium of entertainment. This game is presented in the form of 2d game with .apkformat in Android based system. This game is made and given to the users for its usability testing by using questionnaire. This game is very feasible to use in accordance with the final percentage of 91,1%.
SISTEM PENERIMAAN PEGAWAI DI FIF PT ASTRA KABUPATEN LAMONGAN DENGAN METODE FUZZY LOGIC TSUKAMOTO Kemal Farouq Mauladi
Joutica Vol 2, No 2 (2017)
Publisher : Universitas Islam Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (148.595 KB) | DOI: 10.30736/jti.v2i2.71

Abstract

Problems contained in a company that is the system of recruitment. Employee recruitment system is used to obtain employees who fit the characteristics of the company ASTRA OTOPARTS located in Lamongan. Therefore, the computer is one of the tools to meet the needs of companies in accelerating the process of determining the appropriate candidates to become employees of customer service or as an expert thus will facilitate the trainer to inform the number of candidates who pass the certificate and obtain a certificate of training to human resources development (HRD) . The method of fuzzy tsukamoto as decision-making of training outcome, which will give solution solution to trainer to overcome the existing problems with the result of data accuracy equal to 95% and eliminate the process of recruitment manually where determined by a manager and can minimize fraud in recruitment at FIF ASTRA OTOPART in Lamongan District.
SISTEM PREDIKSI JUMLAH PENGUNJUNG WISATA WEGO KEC.SUGIO KAB.LAMONGAN MENGGUNAKAN METODE FUZZY TIME SERIES Fitri Rohmawati; M Ghofar Rohman; Siti Mujilahwati
Joutica Vol 2, No 2 (2017)
Publisher : Universitas Islam Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (173.341 KB) | DOI: 10.30736/jti.v2i2.66

Abstract

Lamongan Regency has enormous potential in tourism development. The need for tourist attractions in Lamongan Regency is in great demand makes the government certainly needs to observe it, the government in this case refers to the Tourism Departmentin Lamongan Regency to maintain and take care of these tourist attractions in order to provide comfort for the visitors. Realized or not, the number of visitors who come to a tourist attraction depends on the convenience of the place for the visitors.Wegois one of the tourist attractions in Lamongan Regency that is very potential in an effort to increase the economic growth in Lamongan Regency that should get the special attention.The rate of tourists who visit Wego increases on certain days.Seeing that potential, the professional handling by the manager of the tourist attraction must be done in an effort to achieve the target company. Related to the problem, then the manager must be able to predict and set the target number of Wego tourist attraction’s visitors for the next period.
IMPLEMENTASI TEKNOLOGI COMPUTER VISION SEBAGAI PENGENDALI MOBILE ROBOT BERBASIS KAMERA WEB Samsul Arifin; Erwien Tjipta Wijaya
Joutica Vol 2, No 2 (2017)
Publisher : Universitas Islam Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (348.011 KB) | DOI: 10.30736/jti.v2i2.72

Abstract

In this research will be developed autonomous Mobile Robot navigation system, using vision sensor in the form of web camera. The ability of the robot to find the path, avoiding obstacles in an indoor environment becomes the key to the success of navigation. One of the things that underlies the robot navigation system is the process of image information processing from a web camera. So it takes a method that can process image information from the web camera into image data more easily read by the computer. The method that can be used to solve this problem is Canny Edge Detection. Canny Edge Detection has some of the most optimum edge detection criteria that localize the image well, detect objects well and clear response. With these advantages, the Canny Edge Detection method can produce a more representative image approaching the real object. After the edge detection process is completed then the next step is to identify and identify paths or obstacles that exist. Paths and obstructions that have been identified will be used as models to determine which direction the robot will run. The whole process of computing and control will be done using Raspberry pi, while for image processing using OpenCV application.
SISTEM APLIKASI PENGELOLAHAN DATA KOMPLAIN UNTUK MENGUKUR KUALITAS KINERJA UNIT PDE BERBASIS WEB DI RSUD Teguh Pradana; Anggit Septa Yurika
Joutica Vol 2, No 2 (2017)
Publisher : Universitas Islam Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (365.517 KB) | DOI: 10.30736/jti.v2i2.67

Abstract

Decision Support Systems (DSS) are interactive computer-based system, which helps decision-makers to use the data and models to solve unstructured problems. Decisions can be taken by right (time and objective) and can be accounted for if it is supported by a system without doing individual aspects of the decision itself as well as the context of the problems faced.Thus the authors will take advantage of the application system pengelolahan complaint of data to measure performance web-based EDI unit. This system which will bridge the gap between students and the concentration of the majors to be taken with the help of the head of the study program. Decision Support System for Determination of Concentration Programs are designed using the programming language PHP and Mysql data base. And system design using CMS as decision support in determining the concentration of the majors to be taken in studying at the Faculty of Economics, University of the Free Pasuruan. Students are no longer confused / scared wrong in taking decisions for determination majors is to be retrieved
PENERAPAN DATA MINING UNTUK PRAKIRAAN CUACA DI KOTA MALANG MENGGUNAKAN ALGORITMA ITERATIVE DICHOTOMISER TREE (ID3) Broto Poernomo T.P; Rina Dewi Indah Sari
Joutica Vol 2, No 2 (2017)
Publisher : Universitas Islam Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (727.167 KB) | DOI: 10.30736/jti.v2i2.68

Abstract

In the preparation of weather forecasts information there are several obstacles, involving many sources of data and weather forecasts relying on the ability of the forerunner, so that the interpretations produced may differ between forecasters because of their own experience. Differences in interpretation can confuse users and potentially reduce the quality of information submitted. Based on this problem the author intends to study the forecast model with data mining using ID3 algorithm to obtain the appropriate model so as to facilitate the process of weather analysis and forecast. In building the application, data obtained from BMKG website is addressed dataonline.bmkg.go.id and the data taken is datacuaca on January 1, 2012 through November 30, 2015 for a total of 2414 data and 9 attributes. After the selection of attributes (only weather related attributes) and removing damaged data (incomplete data and outliers), the data is reduced to 1790 and attributes reduced to 6 pieces. In the testing process performed with 179 data (10% of the data set) random, it is known that there are 112 databases corresponding to the actual weather data. So it can be concluded that the accuracy of 73.74%.
SISTEM PAKAR MENDIAGNOSA PENYAKIT PADA UNGGAS DENGAN METODE TEOREMA BAYES BERBASIS WEB Achmad Rido'i; Retno Wardhani; Masruroh masruroh
Joutica Vol 2, No 2 (2017)
Publisher : Universitas Islam Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (146.856 KB) | DOI: 10.30736/jti.v2i2.64

Abstract

Poultry has many benefits such as its eggs and meat that cannot be separated from the needs of daily consumption. However, there is a major problem that almost experienced every year for the breders. The disease in poultry is a serious problem that becomes obstacles for the breeders. Based on this problem, the application maker made an expert system application to diagnose the disease in poultry with Bayes theorem method. This application is expected to help the breeders in diagnosing the disease in poultry, therefore the death of poultry can be minimized. This application has been successfully designed and implemented using notepad ++ and php MySQL through several steps of main menu design system, those are; consultation, diseases, and aid. The coding making is done in notepad ++ application. Then making the database is done in php MySQL. The result reveals that this application is made to identify the disease based on the existing symptoms. In testing, 10 breeders stated that this application can help diagnose the disease in poultry.

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