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[Comparative Analysis of Certainty Factor Method and Bayes Probability Method on ENT Disease Expert System ]]>
<![CDATA[Setyaputri, Khairina Eka]]>;
<![CDATA[Fadlil, Abdul]]>;
<![CDATA[Sunardi, Sunardi]]>
<![CDATA[ Scientific Journal of Informatics Vol 5, No 2 (2018): November 2018 ]]>
Publisher : <![CDATA[Universitas Negeri Semarang ]]>
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DOI: 10.15294/sji.v5i2.16151
<![CDATA[Expert system is computer programs that mimic the thought process and expert knowledge in solving a particular problem. Basically, an expert system has various methods to diagnose various kinds of diseases experienced by humans, animals, and plants. This research analyzes the comparison of Certainty Factor method and Bayes Probability method in the expert system of Ear, Nose, and Throat (ENT) diseases. Both methods have the same basic theory of overcoming uncertainties with existing variables. The Certainty Factor method has many variables that are used as systematic knowledge, namely the weight value of the expert which is the basis of knowledge of the system and the user input weight value, while the Bayes Probability method uses only expert knowledge in the calculation. Based on a comparative analysis of the methods obtained with 10 patients data on the ENT disease expert system, the Certainty Factor method has accuracy in diagnosing the disease by 100%, while the Probability Bayes method of system accuracy is 80%. So it can be concluded that the Certainty Factor method is more accurate in diagnosing ENT than the Bayes Probability method.]]>
<![CDATA[Cryptography Triple Data Encryption Standard (3DES) for Digital Image Security ]]>
<![CDATA[Atika Sari, Christy]]>;
<![CDATA[Rachmawanto, Eko Hari]]>;
<![CDATA[Haryanto, Christanto Antonius]]>
<![CDATA[ Scientific Journal of Informatics Vol 5, No 2 (2018): November 2018 ]]>
Publisher : <![CDATA[Universitas Negeri Semarang ]]>
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DOI: 10.15294/sji.v5i2.14844
<![CDATA[Advances in technology in the field of internet, making the Internet become the most popular data transmission media for now. This is certainly not free from the incidence of cyber crime, such as theft and data modification. Given the losses caused by data manipulation is very detrimental to the owner, then the original data can be misused in the cyber world. Cryptography offers an algorithm for randomizing data, so it can not be read by unauthorized people. The cryptography technique was implemented using Triple Data Encyption Standard (3DES) given the results of a randomized cryptographic algorithm, it is possible to arouse suspicion from the viewer. For that will be done the process of insertion of cryptographic files into another media in the form of images commonly referred to as steganography. The steganography technique that will be used is End of File (EOF). The combination of 3DES and EOF in the 64x64 pixel image with grayscale color format produces the fastest image processing time of 173.00192 seconds with the highest Peak Signal to Noise Ratio (PSNR) value of 25.0004 dB, while in the 128x128 pixel image with grayscale format has produced the highest PSNR 21.0084 dB. ]]>
<![CDATA[Automatic License Plate Recognition: A Review with Indonesian Case Study ]]>
<![CDATA[Budianto, Aris]]>
<![CDATA[ Scientific Journal of Informatics Vol 5, No 2 (2018): November 2018 ]]>
Publisher : <![CDATA[Universitas Negeri Semarang ]]>
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DOI: 10.15294/sji.v5i2.15804
<![CDATA[The Automatic License Plate Recognition (ALPR) has been becoming a new trend in transportation systems automation. The extraction of vehicleâs license plate can be done without human intervention. Despite such technology has been widely adopted in developed countries, developing countries remain a far-cry from implementing the sophisticated image and video recognition for some reasons. This paper discusses the challenges and possibilities of implementing Automatic License Plate Recognition within Indonesiaâs circumstances. Previous knowledge suggested in the literature, and state of the art of the automatic recognition technology is amassed for consideration in future research and practice.]]>
<![CDATA[The Comparison between Bayes and Certainty Factor Method of Expert System in Early Diagnosis of Dengue Infection ]]>
<![CDATA[Rachmawati, Eka Yuni]]>;
<![CDATA[Prasetiyo, Budi]]>;
<![CDATA[Arifudin, Riza]]>
<![CDATA[ Scientific Journal of Informatics Vol 5, No 2 (2018): November 2018 ]]>
Publisher : <![CDATA[Universitas Negeri Semarang ]]>
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DOI: 10.15294/sji.v5i2.15740
<![CDATA[The development of existing artificial intelligence technology has been widely applied in detecting diseases using expert systems. Dengue Infection is one of the diseases that is commonly suffered by the community and may cause in death. In this study, an expert diagnosis system for dengue infection is made by comparing between both Bayes method and Certainty Factor. The aims are to build an expert system using Bayes and Certainty Factor for early diagnosis of dengue infection and also to determine their level of accuracy. There are 80 data used in this study which are obtained from the medical records of Sekaran Health Center in Semarang City. The test results show that the level of accuracy obtained from 80 medical record data for Bayes method is 90% and the Certainty Factor method is 93,75%.]]>
<![CDATA[Forecasting Inflation Rate Using Support Vector Regression (SVR) Based Weight Attribute Particle Swarm Optimization (WAPSO) ]]>
<![CDATA[Priliani, Erlin Mega]]>;
<![CDATA[Putra, Anggyi Trisnawan]]>;
<![CDATA[Muslim, Much Aziz]]>
<![CDATA[ Scientific Journal of Informatics Vol 5, No 2 (2018): November 2018 ]]>
Publisher : <![CDATA[Universitas Negeri Semarang ]]>
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DOI: 10.15294/sji.v5i2.14613
<![CDATA[Data mining is the process of finding patterns or interesting information in selected data by using a particular technique or method. Utilization of data mining one of which is forecasting. Various forecasting methods have progressed along with technological developments. Support Vector Regression (SVR) is one of the forecasting methods that can be used to predict inflation. The level of accuracy of forecasting is determined by the precision of parameter selection for SVR. Determination of these parameters can be done by optimization, to obtain optimal forecasting of SVR method. The optimization technique used is Weight Attribute Particle Swarm Optimization (WAPSO). The use of WAPSO can find optimal SVR parameters, so as to improve the accuracy of forecasting. The purpose of this research is to implement SVR and SVR-WAPSO to predict the inflation rate based on Consumer Price Index (CPI) and to know the level of accuracy. The data used in this study is CPI Semarang City period January 2010-February 2018. Implementation experiments using Netbeans 8.2 gives results, SVR method has an accuracy of 94.654%. SVR-WAPSO method has an accuracy of 97.459%. Thus, the SVR-WAPSO method can increase the accuracy of 2,805% of a single SVR method for inflation rate forecasting. This research can be used as a reference for the next researcher can make improvements in determining the range of SVR parameters to get the value of each parameter more effective and efficient to get more optimal accuracy.]]>
<![CDATA[GRAV3D Validation using Generalized Cross-Validation (GCV) Algorithm by Lower Bounds Approach for 3D Gravity Data Inversion ]]>
<![CDATA[Adhi, Mochamad Aryono]]>;
<![CDATA[Wahyudi, Wahyudi]]>;
<![CDATA[Suryanto, Wiwit]]>;
<![CDATA[Sarkowi, Muh]]>
<![CDATA[ Scientific Journal of Informatics Vol 5, No 2 (2018): November 2018 ]]>
Publisher : <![CDATA[Universitas Negeri Semarang ]]>
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DOI: 10.15294/sji.v5i2.16736
<![CDATA[The completion of gravitational data inversion results in a smooth recovered model. GRAV3D is one software that can be used to solve 3D inversion problems of gravity data. Nevertheless there are still fundamental problems related to how to ensure the validity of GRAV3D to be used in 3D inversion. One approach used is to use lower bounds as inversion parameters. In this study lower bounds are set from  to . The results obtained show that the use of lower bounds decreases resulting in a larger data misfit which means that the more data that meets the tolerance calculation, the better recovered model produced.]]>
<![CDATA[Quickpropagation Architecture Optimization Based on Input Pattern for Exchange Rate Prediction from Rupiah to US Dollar ]]>
<![CDATA[Zulkarnaen, Harits Farras]]>;
<![CDATA[Endah, Sukmawati Nur]]>
<![CDATA[ Scientific Journal of Informatics Vol 5, No 2 (2018): November 2018 ]]>
Publisher : <![CDATA[Universitas Negeri Semarang ]]>
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DOI: 10.15294/sji.v5i2.15889
<![CDATA[Money exchange between countries was done by using exchange rates. One of the examples was the exchange between Rupiah and US Dollar. Exchange rates prediction to US Dollar was an attempt to assist all related economic actors to avoid losses during the process of decision making. The prediction could be done by using artificial neural network method. Quickpropagation was one of artificial neural network models considered suitable for prediction. Quickpropagation network architecture consisted of input layer, hidden layer, and output layer. The input layer of quickpropagation architecture could be determined by using autoregression (AR) for the input pattern. In this research, the authors aim to optimize the quickpropagation network architecture method using Nguyen-Widrow weight initialization to predict the Rupiah exchange rate to US Dollar. The research data were the exchange rate from the BI website from May 2017 to July 2017 with a total of 57 data. The test was performed by using K-Fold Cross Validation with k = 11 values for data without AR and k = 8 for AR data. The results show that quickpropagation method using AR has better performance than quickpropagation method without AR in terms of MSE training and testing. The best parameters are in alpha 0,6 and hidden neuron 5, with MSE training value 0,03272 and MSE testing 0,02873 for selling rate and at alpha 0,9 and hidden neuron 5, with MSE training value 0,03297 and MSE testing 0,02828 for buying rate with maximal epoch 100.000 and target error 0,05.]]>
<![CDATA[Java Card Approach to Emulate The Indonesian National Electronic ID Smart Cards ]]>
<![CDATA[Priyasta, Dwidharma]]>;
<![CDATA[Cesar, Wahyu]]>;
<![CDATA[Susanti, Yanti]]>;
<![CDATA[Junde, Juliati]]>
<![CDATA[ Scientific Journal of Informatics Vol 5, No 2 (2018): November 2018 ]]>
Publisher : <![CDATA[Universitas Negeri Semarang ]]>
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DOI: 10.15294/sji.v5i2.16347
<![CDATA[This paper presents a successful effort in emulating the Indonesian national electronic ID smart cards using Java Card. The aim is to provide theopportunity for other smart card products to contribute in the national electronic ID program. The life cycle status, the file system concept, commands and security procedures implemented in the Indonesian national electronic ID were reproduced and emulated ina Java Card applet. In the first stage, the emulator applet was tested using some test scenarios developed during the implementation phase. Later on, the emulator applet was tested in the real system under supervisioned by Direktorat Jenderal Kependudukan dan Pencatatan Sipil in order tomeasure its reliability as well as to determine that its behaviour is identical with the Indonesian national electronic ID. The results confirmed that this approach was fruitful.]]>
<![CDATA[Application of Exponential Comparison Method and Simple Additive Weighting Method in Assessment of Agricultural Extension Performance ]]>
<![CDATA[Suranti, Dewi]]>
<![CDATA[ Scientific Journal of Informatics Vol 5, No 2 (2018): November 2018 ]]>
Publisher : <![CDATA[Universitas Negeri Semarang ]]>
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DOI: 10.15294/sji.v5i2.16128
<![CDATA[In order to build qualified and reliable agricultural human resources, it is necessary for professional, creative, innovative and global oriented Agricultural Extension workers in the provision of productive, effective and efficient extension services. Agricultural Extension is directed to carry out advisory and consultation tasks for the main actors and business actors in developing their agribusiness business, so the adoption of appropriate technology can run well and in turn increase the empowerment of the main actors, productions, productivity, income and welfare of farmers and their families. The performance of agricultural extension workers can be seen in the aspects of preparation, implementation, evaluation and reporting, development of agricultural extension and agricultural extension profession profession. In addition, agricultural extension programs should be based on analysis of farmers needs and reflect current target audience conditions. Applying Simple Additive Wighted and Exponential Comparison Method in appraisal of farmer extension performance at UPT BPP Sukaraja aims to know the performance of agricultural extension in conducting counseling at UPT BPP Sukaraja. This is due to the lack of extension workers in BP3K Sukaraja. The results of the resulting assessment in the form of work performance ranking of each extension worker. Based on the results of the calculation both methods show the same performance rankings. With this is expected to make it easy for UPT BPP sukaraja in carrying out routine performance appraisal performance of extension workers who had been a constraint in conducting appraisal performance extension. Agricultural extension workers can carry out their duties and responsibilities]]>
<![CDATA[Powerpoint for Android Design Using Think Talk Write Model to Improve the Junior High School Studentsâ Concepts Understanding ]]>
<![CDATA[Buchori, Achmad]]>;
<![CDATA[Cintang, Nyai]]>
<![CDATA[ Scientific Journal of Informatics Vol 5, No 2 (2018): November 2018 ]]>
Publisher : <![CDATA[Universitas Negeri Semarang ]]>
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DOI: 10.15294/sji.v5i2.15357
<![CDATA[As the development of Science and Technology also influence the development of learning media. Media learning is one of the determinants of student learning success. Utilization of android technology so far is not only used as a means of communication, or just entertainment but now can be developed for learning media. This research aims to develop powerpoint for android with Think Talk Write model to improve understanding of SMP students concept. The research method used is Research and Development and the type of research used is ADDIE. (1) Analyze, student needs analysis shows students need learning media. (2) Design, the products produced in this study media powerpoint for android. (3) Development, media developed then validated by 84% media experts, 82% material experts, and 85% design learning experts so it is said to be valid. (4) Implementation, student responses in class VII C achievement rate 89% are in the practical category. (5) Evaluation, the data in this study consists of preliminary data in the form of values obtained through pretest and final data in the form of values obtained through posttest. The result of the second posttest of the class is tested equality of two averages (right-t test) obtained α = 0.05 obtained t_table = 1.669 and t_count = 3.251 because Since t_count> t_table then H0 rejected and H1 accepted, so it can be concluded learning using Powerpoint for Android with Think Talk Write model to improve concept understanding is said to be valid, practical, and effective than the conventional learning model.]]>
