IJISTECH (International Journal Of Information System & Technology)
IJISTECH (International Journal Of Information System & Technology) is published with both online and print versions. The journal covers the frontier issues in the computer science and their applications in business, industry and other subjects. The 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.
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<![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[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[Customer Experience Management (CEM) Supports the Quality of School Based on NFC ]]>
<![CDATA[Dendy Jonas Managas]]>;
<![CDATA[Ageng Setiani Rafika]]>;
<![CDATA[Dedy Prasetya Kristiadi]]>;
<![CDATA[Pramita Retno Ayuning Tyas]]>
<![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.v5i4.159
<![CDATA[Schools as providers of educational services are a gateway to the progress of a nation. Many prospective students look for schools with good quality in order to get something that they aspire to. While the reference for assessing school services for prospective students can only be known from students who have graduated or through poster media. Meanwhile, the assessment of student experience only refers to personal opinions and only one factor such as teaching services or administration. Each student has a different argument about school services. This study will explain the creation of a framework for determining service levels in NFC-based schools. Evaluation of services in schools using information technology through smartphone applications connected to the computer provided at the information service desk. The information generated in the form of evaluating educational services in schools aims to improve the quality of learning and academic administrative services. Furthermore, the information generated will be made a report by the data processor addressed to the leadership. With this service, it is expected that there will be an increase in the quality of education and learning services that are able to produce quality graduates and can become information and references for prospective students in choosing schools as a reference for educational services]]>
<![CDATA[Weather Determination Prediction Using Expert Fuzzy Logic Mamdani Method ]]>
<![CDATA[Intan Utnasari]]>;
<![CDATA[Narti Eka Putria]]>
<![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.v5i4.172
<![CDATA[The current climate and weather patterns are very extreme. This kind of weather condition can harm many people. In recent years, heavy rains have resulted in flooding. So far, computers can be used to help people solve problems. The smarter the system and the higher the level of information handling, the more active the role played by the Weather computer is the condition of the air at a certain time and in a certain area that is relatively narrow and in a short period of time. The weather is formed from a combination of weather elements and the weather period can only be a few hours. For example morning, afternoon, or evening, and the situation can be different for each place and every hour. The purpose of this research is to help predict the weather as information. This research uses the Mamdani method. This Mamdani method uses 4 stages to produce an output value, namely, determining the input value (fuzzification), determining the value of x (implication function application), Combination of Rules (Rules), and finally determining the final value or (Defuzzification). This research produces an output value of 35 which is located in the Panas range.]]>
<![CDATA[Steepest Ascent Hill Climbing Algorithm To Solve Cases In Puzzle Game 8 ]]>
<![CDATA[S Silvilestari]]>
<![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.v5i4.153
<![CDATA[The 8th puzzle compiling game is part of searching. Puzzle 8 is an implementation of the steepest ascent hill climbing algorithm by following the established rules. The working process of this algorithm is by looking at the initial position of the puzzle arrangement, after carrying out the process, the results of the shift are seen, whether it is approaching the correct arrangement position. The problem that often occurs is the lack of knowledge in solving game cases quickly so that it takes a long time to obtain the final state. The main purpose of this study is to provide information so that it is easy to solve puzzle game cases using an algorithm. The final result is a puzzle arrangement that is in accordance with the rules by using the concept of an algorithm so as to obtain a decision-making system to complete the puzzle game correctly.]]>
<![CDATA[Sentiment Analysis of Public Transportation Services on Twitter Social Media Using the Method Naïve Bayes Classifier ]]>
<![CDATA[Rima Tamara Aldisa]]>;
<![CDATA[Pandu Maulana]]>;
<![CDATA[Muhammad Aldinugroho]]>
<![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.v5i4.166
<![CDATA[Public transportation services in Indonesia, especially Jabodetabek, have used social media, especially Twitter, as a way to improve services. Currently, the use of online transportation services is like a need; it is necessary to conduct a sentiment analysis of online transportation to find out how people respond to these online transportation services. This research was made to analyze community responses with data analysis in the form of tweets that filtered with a public transportation-related keyword then classified into positive and negative classes using the Naïve Bayes Classifier method. Based on the system built, the total sentiment results for the percentage of the occurrence of positive words were 0.507843137, and the sentiment results for the percentage of negative word occurrences were 1.4132493. The results show that the level of negative sentiment from public tweets is greater than the level of positive sentiment.]]>
<![CDATA[Classification of Generation By Population by Region in Indonesia Using K-Means Algorithm ]]>
<![CDATA[Ririn Restu Aria]]>;
<![CDATA[Susi Susilowati]]>
<![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.v5i4.160
<![CDATA[Population growth caused by the year of birth led to the classification of population groups into several generations. Classification is important because in each generation there is based on population growth has different characteristics and traits in each generation. This research was conducted to try to group generations based on provinces in Indonesia based on the number of residents owned. When researchers analyzed the data obtained from population census data conducted by the central statistics agency (BPS). The method used in generation classification grouping uses the K-Means algorithm method based on 3 clusters. Based on the results of calculations carried out for 3 clusters obtained cluster 1 has 25 provinces, cluster 2 has 3 provinces and cluster 3 has 6 provinces. Based on the 2020 census that has been conducted, the current population is generation Z, generation and Pre Boomer generation is last in line so that from the available data can provide information about mapping in 34 provinces to be able to improve communication patterns between generations and fulfill public facilities that can be used every generation]]>
<![CDATA[The Effect of Corona's Impact on the Community's Economy In The Automotive Marketing Sector Using FIS ]]>
<![CDATA[Dedi Mahrizon]]>
<![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.v5i4.154
<![CDATA[Corana is very influential on the economy in Indonesia, especially in the marketing of Automotive Goods. At present, there is a very significant decline in turnover. This resulted in sluggish market prices and a lack of consumer interest in shopping due to declining economic conditions. The problem that occurs is the lack of marketing of goods, especially in the automotive sector. The purpose of this research is to study how to improve the marketing of goods in the automotive sector so that the economy can increase as much as possible. The research method used is descriptive qualitative method. In addition, the Mamdani method uses the AND operator to obtain an inference engine. The Mamdani method has four stages, namely Demand, Supply and Purchase and the output obtained is Income Value. using secondary data sources from research results, references and online news related to research. The results of this study obtained 3 inputs, namely, requests, offers and purchases, the final result obtained was a decision-making system in the form of smooth or not automatic marketing based on the data to be processed. inputs.]]>
<![CDATA[Evaluation and Development of Web-Based Information Systems of Unit Pelaksana Teknis Mengwi District Based on Usability Method and User Experience ]]>
<![CDATA[I Made Suryana Dwipa]]>;
<![CDATA[I Made Candiasa]]>;
<![CDATA[Luh Joni Erawati Dewi]]>
<![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.v5i4.167
<![CDATA[Unit Pelaksana Teknis (UPT) of Mengwi District is one of the regional agencies of Badung Regency. UPT Mengwi has an important task in terms of educational services in the Mengwi District. There were several problems found by users, namely problems related to the interface and some functional systems that did not run optimally. Therefore, continuous evaluation and development were needed. The evaluation of SIUPT Mengwi was carried out using the evaluation techniques of Performance Measurement, Retrospective Think Aloud, and User Experience Questionnaires. The results in the initial evaluation phase with the Performance Measurement technique showed that it was still not effective and efficient. The analysis of user satisfaction on the attractiveness aspect was 1.45, clarity aspect was 1.05, efficiency aspect was 1.21, and accuracy aspect was 1.45. It discovers that the satisfaction Level of the SIUPT Mengwi has not reached the set standard, so that development efforts were needed. The results of the evaluation after the development phase showed that SIUPT has been effective and efficient with a failure rate of 0%, and there was no significant difference in the time to complete the task. All aspects of user satisfaction gained a very good category with an average score for the attractiveness aspect, which was 2.39, the clarity aspect was 2.29, the efficiency aspect was 2.50, the accuracy aspect was 2.41, the stimulation aspect was 2.43, and the novelty aspect was 2.40. For future evaluation and development, some improvements can be made to the Graphic User Interface (GUI) on the system to improve the research which will be carried out.]]>
