Scientific Journal of Informatics
Scientific Journal of Informatics published by the Department of Computer Science, Semarang State University, a scientific journal of Information Systems and Information Technology which includes scholarly writings on pure research and applied research in the field of information systems and information technology as well as a review-general review of the development of the theory, methods, and related applied sciences.
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<![CDATA[Abstract Keyword Searching with Knuth Morris Pratt Algorithm ]]>
<![CDATA[Ependi, Usman]]>;
<![CDATA[Oktaviani, Nia]]>
<![CDATA[ Scientific Journal of Informatics Vol 4, No 2 (2017): November 2017 ]]>
Publisher : <![CDATA[Universitas Negeri Semarang ]]>
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DOI: 10.15294/sji.v4i2.9797
<![CDATA[This research was conducted to answer the problems of researchers for finding publication or papers that suitable with their topics. In this research was developed software for searching abstract keyword using Knuth Morris Pratt algorithm to answer the problems of researchers. Waterfall model used to develop abstract keywords searching software as tools development that has five phases, namely communication, planning, modeling, construction and deployment. The software was developed can display search results effectively and efficiently according to the enter search keywords, it can see while search results are shown is in case sensitive. The software is also tested; the testing process is conducted by functional observation with black box testing approach, Observation results while testing is conducted show the software running suitable with expected or 100% same with entered keyword, so worthy to be used as one of the tools of researchers searching articles.]]>
<![CDATA[Implementation of Analytic Network Process Method on Decision Support System of Determination of Scholarship Recipient at House of Lazis Charity UNNES ]]>
<![CDATA[Rahmanda, Primana Oky]]>;
<![CDATA[Arifudin, Riza]]>;
<![CDATA[Muslim, Much Aziz]]>
<![CDATA[ Scientific Journal of Informatics Vol 4, No 2 (2017): November 2017 ]]>
Publisher : <![CDATA[Universitas Negeri Semarang ]]>
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DOI: 10.15294/sji.v4i2.11852
<![CDATA[The scholarship is one of the forms of giving/ rewarding funds to individuals or students to use for sustainability during their education. Scholarships are awarded as government or institutional efforts to ease the burden of students in meeting the need for increasingly expensive education costs. The mechanism for selecting scholarship recipients, the selection team of UNNES Charity House of Lazis still use the scoring of the scholarship scores manually based on the total sum of criteria assessment without considering the priority weighted value of each criterion. So that cause the disbursement of scholarship funds that are not on target. To solve the problem, it is necessary to apply a decision support system to help provide consideration of the award of the scholarship recipient. Decision support system used requires data as a guidance assessment in the form of data criteria and alternative data by implementing Analytic Network Process method. The ANP method is used to determine the criteria and alternate priority weight values and the results are rankings. The purpose of this research is to build and implement ANP method in decision support system of awarding of scholarship recipients. The criteria used include the work of parents, parent income, the amount/ grade of Single Tuition, grade point average cumulative. The results of this study indicate that the use of ANP method implementation can determine the scholarship recipients who declared feasible or not to receive the scholarship based on the ranking results of the priority weight of the alternative.]]>
<![CDATA[Prediction The Number of Dengue Hemorrhagic Fever Patients Using Fuzzy Tsukamoto Method at Public Health Service of Purbalingga ]]>
<![CDATA[Hikmawati, Zahra Shofia]]>;
<![CDATA[Arifudin, Riza]]>;
<![CDATA[Alamsyah, Alamsyah]]>
<![CDATA[ Scientific Journal of Informatics Vol 4, No 2 (2017): November 2017 ]]>
Publisher : <![CDATA[Universitas Negeri Semarang ]]>
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DOI: 10.15294/sji.v4i2.10342
<![CDATA[DHF (Dengue Hemorrhagic Fever) is still a major health problem in Indonesia. One of the factors that led to an increase in dengue cases is uncertain climate that causes dengue fever is difficult to be predicted. Prediction is an important thing that is used to determine future events by identifying patterns of events in the past. When knowing the events that happen, it will make everyone to make better preparation for everything. This research is aimed at determining the accuracy of Tsukamoto Fuzzy method in the number of dengue patients in Puskesmas Purbalingga. Tsukamoto Fuzzy method can be used for prediction because it has the ability to examine and identify the pattern of historical data. Tsukamoto fuzzy that used to predict the number of dengue fever patients at Puskesmas Purbalingga has several stages. The first stage is the collection of climate data includes precipitation, humidity, water temperature and the data of dengue fever patients in Puskesmas Purbalingga. The next stage is processing the data that has been obtained. The last stage is to make predictions. Based on the results of the implementation by Tsukamoto Fuzzy method in predicting the number of dengue fever patients in Purbalingga for twelve months in 2016, it was obtained a percentage error (MAPE) of 8.13% or had an accuracy rate of 91.87 %. With the small value of MAPE and high accuracy, it shows that the system can predict well.]]>
<![CDATA[Decision Support System for Supplier Selection using Analytical Hierarchy Process (AHP) Method ]]>
<![CDATA[Juliana, Juliana]]>;
<![CDATA[Jasmir, Jasmir]]>;
<![CDATA[Jusia, Pareza Alam]]>
<![CDATA[ Scientific Journal of Informatics Vol 4, No 2 (2017): November 2017 ]]>
Publisher : <![CDATA[Universitas Negeri Semarang ]]>
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DOI: 10.15294/sji.v4i2.12015
<![CDATA[Technological growth is characterized by a variety of technological finds and computational methods used to facilitate human work in the era of globalization that is the method of Decision Support System (DSS) that helps decision makers to use data and models to solve problems that are not Structured. Toko Harapan Baru in making decisions in determining the best suppliers still use intuition, analysis, calculation and comparison of the manual in determining the supplier of goods to his shop takes a long time, the difficulty of searching data because there is no data processing cause is quite complicated without any particular method which gives inaccurate results. Then, Toko Harapan Baru requires a system that can be a solution to the problem that is being encountered. The Analytical Hierarchy Process (AHP) method is a functional hierarchy to help decision-makers better in making decisions on many objective issues.]]>
<![CDATA[The Analysis of Implementation Business Model Canvas At The E-Marketplace Dipeta Company ]]>
<![CDATA[Purnawati, Ni Wayan]]>;
<![CDATA[Setyohadi, Djoko Budiyanto]]>
<![CDATA[ Scientific Journal of Informatics Vol 4, No 2 (2017): November 2017 ]]>
Publisher : <![CDATA[Universitas Negeri Semarang ]]>
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DOI: 10.15294/sji.v4i2.9945
<![CDATA[In the internet Era as now everything is easily accessible, obtaining good information, education, services even trade. E-Marketplace as a new innovation for interaction between buyer and seller can also encourage micro medium to promote his business. www.pesansaja.com released by dipeta in the field of E-Marketplace of local culinary, which still require a lot of innovation to be able to attract customers and keep them. Innovation is also needed to be able to compete with other competitors on the E-Marketplace that engaged in the same. Hence the need for the implementation of the business model in this business model Canvas to get new business models to suit the wishes of the customer and an evaluation based on the strong and weak points of this business. The results of the implementation are expected to make the companys E-Marketplace is getting big and compete at a national level as an E-Marketplace of successful culinary attract customers]]>
<![CDATA[Performance Appraisal of Seluma Districts Agricultural Extensionist with Fuzzy Simple Additive Weighting Method ]]>
<![CDATA[Suranti, Dewi]]>;
<![CDATA[Ikhsan, Mohamad]]>
<![CDATA[ Scientific Journal of Informatics Vol 4, No 2 (2017): November 2017 ]]>
Publisher : <![CDATA[Universitas Negeri Semarang ]]>
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DOI: 10.15294/sji.v4i2.12016
<![CDATA[Measuring the performance of an agricultural extensionist is essential for future evaluation and monitoring. An appraisal of agricultural extensionist workers should be performed to determine the achievements achieved by each agricultural extensionist agent. For that according to Permentan 2013 every Agricultural organization is obliged to conduct agricultural extensionist performance appraisal. This study aims to measure the peformance of agricultural extensionist of Seluma Regency by using Fuzzy Simple Additive Weighting (FSAW) method because this method determines the weight value for each attribute, followed by a ranking process that will select the best alternative from a number. This study aims to apply Fuzzy Simple Additive Wighted in the assessment of agricultural extensionist performance in Seluma district and to know the performance of agricultural extensionist workers in organizing agricultural extensionist. The system built is expected to facilitate BP3K sukaraja in carrying out routine performance appraisal of extensionist worker who has been a constraint in carrying out the appraisal performance appraisal. This system can result in accurate assessment of the performance of extensionist workers in accordance with the programs and work plans that have been made and implemented by agricultural extensionist.]]>
<![CDATA[An Evaluation Model Using Perceived User Technology Organization Fit Variable for Evaluating the Success of Information Systems ]]>
<![CDATA[Muslimin, Imam]]>;
<![CDATA[Hadi, Sasongko Pramono]]>;
<![CDATA[Nugroho, Eko]]>
<![CDATA[ Scientific Journal of Informatics Vol 4, No 2 (2017): November 2017 ]]>
Publisher : <![CDATA[Universitas Negeri Semarang ]]>
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DOI: 10.15294/sji.v4i2.12012
<![CDATA[In the information systems field, the fit between the components of information systems is a topic that has attracted the attention of many researchers. Various concepts of the fit such as Task-Technology Fit (TTF), Fit between Individuals, Tasks, and Technology (FITT), and Human Organization Technology Fit (HOT-Fit) are proposed and studied in various studies. In those various concept, the fit is one of the keys to the successful implementation and acceptance of information systems. Through a study of relevant literature, this study proposes a model consisting of human, organization, and technology characteristics, and adds the Perceived User Technology Organization Fit (PUTOF) variable as the initiated variable that influences the intention to use. In subsequent research, this model can be tested quantitatively with case studies of the information system implementation in an organization.]]>
<![CDATA[Expert System Diagnosis of Bowel Disease Using Case Based Reasoning with Nearest Neighbor Algorithm ]]>
<![CDATA[Vedayoko, Lucky Gagah]]>;
<![CDATA[Sugiharti, Endang]]>;
<![CDATA[Muslim, Much Aziz]]>
<![CDATA[ Scientific Journal of Informatics Vol 4, No 2 (2017): November 2017 ]]>
Publisher : <![CDATA[Universitas Negeri Semarang ]]>
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DOI: 10.15294/sji.v4i2.11770
<![CDATA[Expert System is a computer system that has been entered the base of knowledge and set of rules to solve problems like an expert. One method in the expert system is Case Based Reasoning. To strengthen the retrieve stage of this method, the Nearest Neighbor algorithm is used. Bowel is one of the digestive organs susceptible to disease. The purpose of this study is to implement expert systems using Case Based Reasoning with Nearest Neighbor algorithm in diagnosing bowel disease and determine the accuracy of the system. Data used in this research are 60 data, obtained from medical record RSUD dr. Soetrasno Rembang. Variables used are general symptoms and types of diseases. The level of system accuracy resulting from scenario are 40 data as source case, and 20 data as target case that is equal to 95%.]]>
<![CDATA[Information Retrieval System for Determining The Title of Journal Trends in Indonesian Language Using TF-IDF and Na?ve Bayes Classifier ]]>
<![CDATA[Trihanto, Wandha Budhi]]>;
<![CDATA[Arifudin, Riza]]>;
<![CDATA[Muslim, Much Aziz]]>
<![CDATA[ Scientific Journal of Informatics Vol 4, No 2 (2017): November 2017 ]]>
Publisher : <![CDATA[Universitas Negeri Semarang ]]>
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DOI: 10.15294/sji.v4i2.11876
<![CDATA[The journal is known as one of the relevant serial literature that can support a researcher in doing his research. In its development journal has two formats that can be accessed by library users namely: printed format and digital format. Then from the number of published journals, not accompanied by the growing amount of information and knowledge that can be retrieved from these documents. The TF-IDF method is one of the fastest and most efficient text mining methods to extract useful words as the value of information from a document. This method combines two concepts of weight calculation that is the frequency of word appearance on a particular document and the inverse frequency of documents containing the word. Furthermore, data analysis of journal title is done by Nave Bayes Classifier method. The purpose of the research is to build a website-based information retrieval system that can help to classify and define trends from Indonesian journal titles. This research produces a system that can be used to classify journal titles in Indonesian language, with system accuracy in determining the classification of 90,6% and 9,4% error rate. The highest percentage result that became the trend of title classification was decision support system category which was 24.7%.]]>
<![CDATA[Implementation of Firebase Realtime Database to Track BRT Trans Semarang ]]>
<![CDATA[Wiratno, Andreas Ragil]]>;
<![CDATA[Hastuti, Khafiizh]]>
<![CDATA[ Scientific Journal of Informatics Vol 4, No 2 (2017): November 2017 ]]>
Publisher : <![CDATA[Universitas Negeri Semarang ]]>
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DOI: 10.15294/sji.v4i2.10829
<![CDATA[Many application developed to help people get information about BRT (Bus Rapid Transit) Trans Semarang. However, the existing application felt less effective and unable to provide what user need. So we proposed a prototype of android based application which able to provide information about BRT Trans Semarang in an effective ways. The developed system contains two application, that is driver side application and user side application. The reason for using Firebase Realtime Databse is because of every data changes in database it will synchronize to the user automatically without waiting user to refresh or reload the application. Our proposed method is well designed and implemented and succeed to provides what user need which proved by a user acceptance test]]>
