IJISTECH
IJISTECH (International Journal of Information System & Technology) has changed the number of publications to six times a year from volume 5, number 1, 2021 (June, August, October, December, February, and April) and has made modifications to administrative data on the URL LIPI Page: http://u.lipi.go.id/1492681220 IJISTECH (International Journal Of Information System & Technology) is a peer-reviewed open-access journal published two times a year in English-language, provides scientists and engineers throughout the world for the exchange and dissemination of theoretical and practice-oriented papers dealing with advances in intelligent informatics. All the papers are refereed by two international reviewers, accepted papers will be available online (free access), and no publication fee for authors. The articles of IJISTECH will be available online in the GOOGLE Scholar. IJISTECH (International Journal Of Information System & Technology) is published with both online and print versions. The journal covers the frontier issues in computer science and their applications in business, industry, and other subjects. Computer science is a branch of engineering science that studies computable processes and structures. It contains theories for understanding computing systems and methods; computational algorithms and tools; methodologies for testing of concepts. The subjects covered by the journal include artificial intelligence, bioinformatics, computational statistics, database, data mining, financial engineering, hardware systems, imaging engineering, internet computing, networking, scientific computing, software engineering, and their applications, etc. • Artificial Immune Systems, Ant Colonies, and Swarm Intelligence • Autonomous Agents and Multi-Agent Systems • Bayesian Networks and Probabilistic Reasoning • Biologically Inspired Intelligence • Brain-Computer Interfacing • Business Intelligence • Chaos theory and intelligent control systems • Clustering and Data Analysis • Complex Systems and Applications • Computational Intelligence and Soft Computing • Cognitive systems • Distributed Intelligent Systems • Database Management and Information Retrieval • Evolutionary computation and DNA/cellular/molecular computing • Expert Systems • Fault detection, fault analysis, and diagnostics • Fusion of Neural Networks and Fuzzy Systems • Green and Renewable Energy Systems • Human Interface, Human-Computer Interaction, Human Information Processing • Hybrid and Distributed Algorithms • High-Performance Computing • Information storage, security, integrity, privacy, and trust • Image and Speech Signal Processing • Knowledge-Based Systems, Knowledge Networks • Knowledge discovery and ontology engineering • Machine Learning, Reinforcement Learning • Memetic Computing • Multimedia and Applications • Networked Control Systems • Neural Networks and Applications • Natural Language Processing • Optimization and Decision Making • Pattern Classification, Recognition, speech recognition, and synthesis • Robotic Intelligence • Rough sets and granular computing • Robustness Analysis • Self-Organizing Systems • Social Intelligence • Soft computing in P2P, Grid, Cloud and Internet Computing Technologies • Stochastic systems • Support Vector Machines • Ubiquitous, grid and high-performance computing • Virtual Reality in Engineering Applications • Web and mobile Intelligence, and Big Data
Articles
394 Documents
<![CDATA[Fuzzy Inference System In Predicting Unemployment Rate In City X Using Sugeno Method ]]>
<![CDATA[Yosdarso Afero]]>
<![CDATA[ IJISTECH (International Journal of Information System and Technology) Vol 5, No 4 (2021): December ]]>
Publisher : <![CDATA[Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa ]]>
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DOI: 10.30645/ijistech.v5i4.151
<![CDATA[Unemployment in Indonesia is currently increasing. This can be seen from the number of unemployed and workers who are looking for job vacancies either directly or through applications. The problem in this study is the lack of understanding of job applicants about the terms or criteria for applying for a job so that they are not accepted in a company. There are five criteria that must be considered in applying for a job, namely, education, vacancies, age, opportunities and knowledge. The purpose of this study is to help job seekers to complete and understand the criteria that have been set. This study uses the Sugeno method with the final result in the form of linear or constant. The working process of the Sugeno method is fuzification, inference engine, application of implication and defuzzification functions to obtain results in accordance with the decision-making system.]]>
<![CDATA[Information System for Product Data Collection Using Barcode System on Android-based Devices at My Kids Store Medan ]]>
<![CDATA[Liza Fitriana]]>;
<![CDATA[Shiva Awallu Nissa]]>;
<![CDATA[D David]]>
<![CDATA[ IJISTECH (International Journal of Information System and Technology) Vol 5, No 5 (2022): February ]]>
Publisher : <![CDATA[Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa ]]>
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DOI: 10.30645/ijistech.v5i5.183
<![CDATA[Data collection is the most important thing in selling goods. Accuracy and speed in the process of storing and searching data are very influential in determining company profits. This research provides an alternative in implementing the data collection process using barcodes and implemented on Android-based mobile devices. It is hoped that this research will provide results in accordance with the objectives, which are to facilitate and accelerate users in processing data in order to produce accurate and fast information.]]>
<![CDATA[Comparison of Algorithms on Machine Learning For Spam Email Classification ]]>
<![CDATA[Hery Iswanto]]>;
<![CDATA[Erni Seniwati]]>;
<![CDATA[Yuli Astuti]]>;
<![CDATA[Dina Maulina]]>
<![CDATA[ IJISTECH (International Journal of Information System and Technology) Vol 5, No 4 (2021): December ]]>
Publisher : <![CDATA[Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa ]]>
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DOI: 10.30645/ijistech.v5i4.164
<![CDATA[The rapid development of email use and the convenience provided make email as the most frequently used means of communication. Along with its development, many parties are abusing the use of email as a means of advertising promotion, phishing and sending other unimportant emails. This information is called spam email. One of the efforts in overcoming the problem of spam emails is by filtering techniques based on the content of the email. In the first study related to the classification of spam emails, the Naïve Bayes method is the most commonly used method. Therefore, in this study researchers will add Random Forest and K-Nearest Neighbor (KNN) methods to make comparisons in order to find which methods have better accuracy in classifying spam emails. Based on the results of the trial, the application of Naïve bayes classification algorithm in the classification of spam emails resulted in accuracy of 83.5%, Random Forest 83.5% and KNN 82.75%]]>
<![CDATA[Decision Making System on The Selection of Gypsum According To User Demand Using Sugeno Method ]]>
<![CDATA[Yosdarso Afero]]>
<![CDATA[ IJISTECH (International Journal of Information System and Technology) Vol 5, No 5 (2022): February ]]>
Publisher : <![CDATA[Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa ]]>
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DOI: 10.30645/ijistech.v5i5.178
<![CDATA[Gypsum is a ceiling that is often used by many people for housing parts that are on the ceiling of the house which serves to limit the height of a house or building that is useful for security, security and beauty in a room. Everyone has a desire to have a good gypsum building to be comfortable when in the house. The problem in the research is the lack of user knowledge in determining a good form of gypsum and having resistance for a long period of time. The purpose of this study is to assist users in selecting gypsum according to the wishes of the user. This study uses a decision-making system using the Sugeno method using the AND operator. Fuzzy logic has four work steps to obtain a decision-making system. The final output results obtained a value of 1 which is in the Interest Decision.]]>
<![CDATA[Utilization of Asmuth-Bloom Algorithm In Data Security Using Secret Sharing Protocol ]]>
<![CDATA[Heri Santoso]]>;
<![CDATA[Aidil Halim Lubis]]>;
<![CDATA[Ali Darta]]>
<![CDATA[ IJISTECH (International Journal of Information System and Technology) Vol 5, No 4 (2021): December ]]>
Publisher : <![CDATA[Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa ]]>
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DOI: 10.30645/ijistech.v5i4.158
<![CDATA[Conventional cryptographic algorithms cannot be applied to solve a plaintext (message) into several ciphertexts because conventional cryptographic algorithms can only produce a ciphertext from a plaintext (message). In this case, a cryptographic protocol can be applied, namely the Asmuth-Bloom secret sharing protocol. The methodology used to analyze and design application software and learning the Asmuth-Bloom secret sharing protocol is the Waterfall method. This research is intended to produce a learning software that is able to display the working process of the Asmuth-Bloom secret sharing protocol and the application of the Asmuth-Bloom secret sharing protocol. The working procedure described by the software includes the key formation process, the shadow formation process and the shadow merge process. The software also provides an interface to do the process of splitting a text file into n shadow files and merging m shadow files into the original text file. In addition, the software also provides basic theories related to the two cryptographic protocols and reports the results of the calculation process are stored in a text file with *.txt extension]]>
<![CDATA[Detection of Ripeness of Manggosteen Fruit Using Hsv Color Space Transformation Method ]]>
<![CDATA[Mhd. Furqan]]>;
<![CDATA[Muhammad Ikhsan]]>;
<![CDATA[Annafiah Dalimunthe]]>
<![CDATA[ IJISTECH (International Journal of Information System and Technology) Vol 5, No 4 (2021): December ]]>
Publisher : <![CDATA[Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa ]]>
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DOI: 10.30645/ijistech.v5i4.171
<![CDATA[Rapid advances in innovation in the PC field are increasingly making applications and exploration of image handling strategies created. Image processing has an important role in various fields. Image processing applications are concerned with image processing with regard to color transformation. In this case, the method of transforming the color space as part of the image processing helps in detecting the colors in the image and processing them. Color space is a mathematical model that describes the color represented in the number model. HSV color space is a color space composed of 3 components, namely Hue, Saturation, Value. Hue is related to purity (color pattern), Saturation is related to the saturation of the color, Value expresses the brightness level of the color. In this study, based on the results of testing using mangosteen fruit imagery to detect the type of ripeness by transforming RGB color space into HSV color space conducted using sample data as much as 60 fruit data consisting of 45 training samples consisting of 15 images of mangosteen fruit in each type of ripeness, and 15 test samples consisting of 5 samples of ripe mangosteen fruit, 5 samples of half-cooked mangosteen fruit and 5 samples of raw mangosteen fruit obtained success rate accuracy of 86.6%, so it can be concluded that the HSV Color Space Transformation method can be used to detect the ripeness of mangosteen fruit.]]>
<![CDATA[The Utilization of The Best First Search Algorithm in The Solution of The Traveling Salesman Problem Case In City X ]]>
<![CDATA[Etza Nofarita Nofarita]]>
<![CDATA[ IJISTECH (International Journal of Information System and Technology) Vol 5, No 4 (2021): December ]]>
Publisher : <![CDATA[Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa ]]>
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DOI: 10.30645/ijistech.v5i4.152
<![CDATA[The heuristic search is part of a method that is often used by people in solving the case of finding the shortest route, the search for the shortest path to solve the distance problem can be converted into a graph structure, where the point represents the city and the side represents the path that connects the two cities. The General and test process is one of the methods in which the case testing uses heuristic functions. The problem that often occurs in this case is to find the shortest path of a city and the various available paths. The process of this method is in the form of determining the distance between cities which can be seen from how far it is traveled so that it can take an alternative to find the shortest path. The main purpose of solving this case is to find alternative ways to find the shortest path and have benefits in saving time and costs so that optimal results are obtained. The use of algorithms in General and test can be used as an information system in making decisions on a travel route. The use of the best first search method in general and tests can be used to search for the shortest path to obtain maximum results]]>
<![CDATA[Implementation of Sibi And Bisindo Letters Recognition Using Augmented Reality During Pandemic ]]>
<![CDATA[Putu Wirayudi Aditama]]>;
<![CDATA[I Gede Adi Sudi Anggara]]>;
<![CDATA[I Nyoman Jayanegara]]>
<![CDATA[ IJISTECH (International Journal of Information System and Technology) Vol 5, No 5 (2022): February ]]>
Publisher : <![CDATA[Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa ]]>
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DOI: 10.30645/ijistech.v5i5.184
<![CDATA[BISINDO or Indonesian Sign Language is one of the sign systems used in Indonesia. BISINDO comes from the first language or mother tongue for the deaf. The phenomenon of the Covid 19 pandemic has changed the world of education globally. The results of a survey of people with hearing impairments in Bali, especially in Denpasar, showed that 72 respondents, 62.5%, stated that it was difficult to understand the learning process carried out at home during the pandemic. 37.5% indicated that they had no difficulty understanding the learning process at home during the pandemic. According to respondents, 75.7% of respondents chose BISINDO, which is easy to understand and 24.3% chose SIBI. An augmented reality application was designed to recognize the BISINDO alphabet from this data. This application is expected to provide a solution to make it easier for deaf people to understand BISINDO sign language during a pandemic. SIBI is an adaptation of American Sign Language which is currently applied in special schools (SLB). To provide support in learning SIBI sign language, in advance of technology, the design of Augmented Reality to introduce SIBI letters will help in the learning process. The results of the black box test show that all the features and functions of the application can run well. In observing the response time when scanning markers using the Xiaomi PocoF1 marker on the SIBI letters, the average time is 6.05 seconds. Observation of the scan distance of SIBI letters, the average scan distance of markers that can be scanned at a distance of 5 cm to 50 cm. ]]>
<![CDATA[Alfa Value Scalability on Single and Double Exponential Smoothing Comparatives ]]>
<![CDATA[Yuli Astuti]]>;
<![CDATA[Irma Rofni Wulandari]]>;
<![CDATA[Muhammad Noor Arridho]]>;
<![CDATA[Erni Seniwati]]>;
<![CDATA[Dina Maulina]]>
<![CDATA[ IJISTECH (International Journal of Information System and Technology) Vol 5, No 4 (2021): December ]]>
Publisher : <![CDATA[Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa ]]>
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DOI: 10.30645/ijistech.v5i4.165
<![CDATA[To find out sales forecasts in the future, it is not only based on estimates but must be calculated carefully based on the experience of previous sales transactions. This observation can be made based on sales data a few months ago to be used as actual data to get predictive value in the future period. Prediction or forecasting is done with two methods Single Exponential Smoothing (SES) and Double Exponential Smoothing (DES), from these two methods, will be sought the most suitable alpha value to get the percentage error value. There are two error values : Mean Absolute Deviation (MAD) and Mean Absolute Percentage Error (MAPE). By using sales data from February to December 2019, the predicted value of 430 orders was obtained in the SES method and resulted in a sales prediction of 402 orders in the DES method with the smallest error accuracy value of 26.88% in the SES method and an accuracy value of 22.71%. in the DES method with the acquisition of scalability of the right alpha value for both, namely 0.3 and the beta value of 0.3 in the DES method]]>
<![CDATA[Improved Digital Image Quality Using the Gaussian Filter Method ]]>
<![CDATA[S Sriani]]>;
<![CDATA[Ilka Zufria]]>;
<![CDATA[Mhd. Syahnan]]>
<![CDATA[ IJISTECH (International Journal of Information System and Technology) Vol 5, No 5 (2022): February ]]>
Publisher : <![CDATA[Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa ]]>
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DOI: 10.30645/ijistech.v5i5.179
<![CDATA[Digital imagery from digital image cameras often has some disturbances that may occur, such as lenses not focusing, spots appear caused by the imperfect capture process. This ineptness can be caused by uneven lighting resulting in uneven intensity, low image contrast and the appearance of noise in the image. Of course all these negative effects will reduce the quality on digital imagery. To overcome the noise, efforts need to be made to improve the quality of that image. One of them is by filtering the image both linearly and non-linearly. There are many methods that can be used to perform linear and non-linear filtering. Images that contain noise can limit the valuable information needed when image analysis is done. Gaussian filter is one of the linear filters that serves to smooth and eliminate noise in an image. Mean Filter is very simple and easy to implement and is very useful for reducing the variation in value of a pixel with the next pixel. This filter works by replacing the intensity of the pixel value with the average the neighboring pixels.]]>
