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.
Articles
394 Documents
<![CDATA[Analysis of Home Security System Based Arduino ]]>
<![CDATA[Rio Wirawan]]>;
<![CDATA[Arman Syah Putra]]>;
<![CDATA[Nurul Aisyah]]>;
<![CDATA[S Suhardjono]]>
<![CDATA[ IJISTECH (International Journal of Information System and Technology) Vol 6, No 1 (2022): June ]]>
Publisher : <![CDATA[Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa ]]>
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DOI: 10.30645/ijistech.v6i1.225
<![CDATA[The background of this research is how to implement a smart security system that will be applied to a smart home concept so that it can help its residents maintain security in the house. Therefore, the proposed system can help the police in securing an area. The method used in this study is to use the SDLC method which consists of 7 stages. The first stage is training. The second stage is the pain requirements. The third stage is there, besides the 4th stage, which is software development. The fifth is testing. The 6th stage is development when the 7th is the president, with the 7 stage, the research will be clear and can find answers to the problems raised. The problem raised in this study is how to create a system that can protect a house from crime, and can protect the surrounding community for the security section, therefore the arrangement of the system made in this study will be able to raise the problem of how to make a system in a smart home. The purpose of this research is how to create a system that can protect a house from crime, and can report to the police if there is a theft in a house.]]>
<![CDATA[Decision Support System Promotion Criteria For Increasing Sales of Randang Minang Hj. Fatimah Uses Fuzzy Sugeno ]]>
<![CDATA[S Silvilestari]]>
<![CDATA[ IJISTECH (International Journal of Information System and Technology) Vol 6, No 1 (2022): June ]]>
Publisher : <![CDATA[Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa ]]>
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DOI: 10.30645/ijistech.v6i1.206
<![CDATA[Decision support system (DSS) is a system that is able to assist in making decisions from various types of choices that are made accurately and in accordance with the desired goals. Many case problems can be solved using a decision support system including the criteria for increasing sales of Rendang Hj. Fatimah in the Solok City area. The problem that occurs is the lack of promotional criteria in marketing Rendang products so that information is less affordable to consumers. The purpose of this research is to increase the price of lace sales spread throughout Indonesia. Promotion criteria that will be improved such as, Price, Taste, Package, and Size. This research uses the Sugeno method, there are 4 ways the Tsukamoto method works, namely, Fuzification, Formation of Knowledge Base (Rule in the form of IF THEN), inference engine and defuzification, the operator used is the AND operator. Output results are at Rang 1 with Output Increase]]>
<![CDATA[Application of the System Development Life Cycle Method for the South Jakarta Area Search System with User Acceptance Test ]]>
<![CDATA[Rima Tamara Aldisa]]>
<![CDATA[ IJISTECH (International Journal of Information System and Technology) Vol 6, No 1 (2022): June ]]>
Publisher : <![CDATA[Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa ]]>
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DOI: 10.30645/ijistech.v6i1.219
<![CDATA[A system designed to assist prospective new students in providing, knowing the final results of the lectures or campuses that are expected to be in the south Jakarta area. This system is built on an android based which can be installed by users easily, quickly. Users here are prospective new students primarily, this system helps in providing information, provides a map of campus routes, campuses or majors on campus and makes it easier for new students to determine where to study. From the research conducted, it provides 7 questions that produce an android-based system using the System Development Life method. The results of the test using the UAT User Acceptance Test with 30 prospective new student participants who want to continue their studies to the undergraduate level which we apply to install this application on each participant's smartphone. User Acceptance Test testing of 89.14%, meaning that results indicate that the Application of the System Development Life Cycle Method for the South Jakarta Regional Study Place Search System with User Acceptance Test was built can be used by prospective new students]]>
<![CDATA[Application of Economic Order Quantity and Reorder Point Methods in Improving the Efficiency of Coffee Raw Material Supply (Case Study At PT. Herbal Salam) ]]>
<![CDATA[Susi Susilowati]]>;
<![CDATA[Ririn Restu Aria]]>
<![CDATA[ IJISTECH (International Journal of Information System and Technology) Vol 6, No 1 (2022): June ]]>
Publisher : <![CDATA[Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa ]]>
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DOI: 10.30645/ijistech.v6i1.213
<![CDATA[The food industry sector is currently getting tighter competition, especially in the form of food in the form of herbal drinks in the form of powders and liquids. That way it is necessary to control the supply of the right raw materials for the smooth production process. The purpose of this study is to find out and analyze the control of coffee raw material supplies applied by PT. Herbal Salam. So that it can improve the efficiency of raw material supply and can improve the performance of raw material management at PT. Herbal Salam. The research methods used are the EOQ and ROP methods. Research results show that the company's raw material inventory has not been optimal and has not shown a minimum inventory cost. Based on analysis and policy calculations the company produces a total inventory of 72.000 per Kg in a year with an average purchase of 30 times a year, while the Economic Order Quantity (EOQ) method produces a total inventory of 5.280 per kg in a year with an average purchase of at least 14 times a year. This indicates that the EOQ method is smaller or there are savings of more than 50% compared to the company's policies.]]>
<![CDATA[Forensic Data Analysis on Smartphone Memory Android Operating System Using Framework GRR ]]>
<![CDATA[Arman Syah Putra]]>;
<![CDATA[Muji Santoso]]>;
<![CDATA[I Iwan]]>;
<![CDATA[M Mudrika]]>;
<![CDATA[Bambang Harianto]]>;
<![CDATA[Popon Handayani]]>
<![CDATA[ IJISTECH (International Journal of Information System and Technology) Vol 6, No 1 (2022): June ]]>
Publisher : <![CDATA[Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa ]]>
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DOI: 10.30645/ijistech.v6i1.226
<![CDATA[The background of this research is how to find out and search for hidden data that has been deleted on a hidden smartphone device so that it can be used as evidence of the crime, especially in cybercrimes. The method used in this study uses the four-step method, namely, the first stage is collecting data, the second stage is looking for data, the third stage is analyzing data and the fourth stage is reporting the existence of these four stages, the method will be able to help research. The problem raised in this research is how to find evidence on a smartphone that was deleted by the users of, the crime so that the data can be returned and can make evidence as evidence of a crime. The purpose of this study is to find evidence on a smartphone and test whether the data is really the data you are looking for so that it can be used as evidence in cybercrimes.]]>
<![CDATA[Expert System Troubleshooting Shortest Route Finding Using Traveling Salesman Problem (TSP) ]]>
<![CDATA[Rika Widya Perdana]]>
<![CDATA[ IJISTECH (International Journal of Information System and Technology) Vol 6, No 1 (2022): June ]]>
Publisher : <![CDATA[Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa ]]>
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DOI: 10.30645/ijistech.v6i1.207
<![CDATA[The search for the shortest route is a path that is very functional in helping human activities. The Traveling Salesman Problem (TSP) is a method of finding the shortest route that a salesman can take when they want to visit several cities without having to visit the same city more than once. The case of Route Selection plays an important role because it must be on time and choose the alternative with the smallest value to the destination. Problems that occur in the form of lack of information and logic to obtain efficient information. The aim of this research is to minimize the distance. The search for a solution to the problem is to combine each distance taken to get to a place so that the Salesman can choose the Smallest alternative. The alternative mileage that has the smallest value is STRU, USTR, and URTS with an alternative value of 18.]]>
<![CDATA[Sales Prediction Based on Sales Data Analysis Using the Moving Average Algorithm (Case in hawada refill drinking water) ]]>
<![CDATA[Asmui Mansur]]>;
<![CDATA[Fresa Dwi Juniar Sofalina]]>
<![CDATA[ IJISTECH (International Journal of Information System and Technology) Vol 6, No 1 (2022): June ]]>
Publisher : <![CDATA[Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa ]]>
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DOI: 10.30645/ijistech.v6i1.220
<![CDATA[Hawada refill drinking water depot is a line of business providing hygienic refill drinking water, which is packaged in gallon packaging which in its transaction activities still uses the SMS feature. The problem faced by the Hawada refill drinking water depot is that there is no distributed application that can assist transaction management activities, so that data input and transaction data are still manually calculated for report generation. Previous sales data has not been processed into useful information. The solution to this problem is to predict sales of refill drinking water based on sales data analysis using a moving average algorithm. By designing applications that can manage consumer transaction activities, so that data input and sales data calculations can be done automatically for report generation. As well as analyzing previous sales data, so as to get useful information to predict sales for the next period. The method is to create a mobile application to monitor online transaction activities using Hybrid Programming Technology based on the Ionic Framework, with analysis of previous sales data which will be processed by the Moving Average Algorithm to predict sales data for the next period. The designed application can process transaction activities and process previous sales data using a moving average algorithm, producing accurate predictive data in the form of sales graph reports.]]>
<![CDATA[Artificial Intelligence In Cooking Oil Price Prediction Using the Fuzzy Inference System Concept ]]>
<![CDATA[Dedi Mahrizon]]>
<![CDATA[ IJISTECH (International Journal of Information System and Technology) Vol 6, No 1 (2022): June ]]>
Publisher : <![CDATA[Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa ]]>
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DOI: 10.30645/ijistech.v6i1.214
<![CDATA[At the end of 2021 in October the price of cooking oil increased very sharply in packaged cooking oil and bulk cooking oil. Cooking oil had recorded a deflation in February 2022 of 0.11%, then increased again with a deflation of 0.04%. The causes of the increase in oil consist of 4 types including very sharp international oil prices, reduced oil production caused by disruptions in the distribution chain, increase in demand and the last one. Logistical disruptions during the Covid-19 pandemic, such as the reduced number of containers in the cooking oil delivery process. The problem that will be discussed in this study is to see the cause of the increase in cooking oil in the market. The purpose of this study is to examine the causes of the increase in cooking oil prices and the development of market prices for cooking oil circulating in the market. The basic concept of this research uses the concept of Marketing Management and Artificial Intelligence using Sugeno's Fuzzy Logic Method. The criterion variable consists of 4 input variables 1. Oil Price, 2 Cooking Oil Production, 3 Demand and the fourth is Logistics Disorder while the output variable produces a Normal Decision with a value of 0, Expensive with a value of 1. The final result of this study obtains an Output value of 0, 85 which is in the Expensive range. To find out the other x values, it is enough to enter the x value into each search to find out the next output value which can be used as a reference in predicting the current cooking oil price.]]>
<![CDATA[The Relationship of Salary And Annual Bonus To Employee Performance In Export Import Companies ]]>
<![CDATA[Heriston Sianturi]]>;
<![CDATA[Idah Yuniasih]]>;
<![CDATA[Teni Agustina]]>;
<![CDATA[Rooswhan Budhi Utomo]]>;
<![CDATA[S Sriyanto]]>;
<![CDATA[Arman Syah Putra]]>
<![CDATA[ IJISTECH (International Journal of Information System and Technology) Vol 6, No 1 (2022): June ]]>
Publisher : <![CDATA[Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa ]]>
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DOI: 10.30645/ijistech.v6i1.227
<![CDATA[The background of scientific writing is how to find out the relationship between annual bonus salaries and employee performance do these three variables have a significant relationship or not, therefore with this research it will be known whether the variables can be related to the company even better. The method in this study uses a quantitative method by conducting a survey of 100 employees at an import-export company and conducting a literature review study in order to find research problems that can be raised with very high novelty carried out by researchers. The problem raised in this study is there is a relationship between salary and employee performance then is there a relationship between annual bonuses and employee performance with the 2 hypotheses, it will be sought to find out whether the two variables and other variables are related to each other significantly. This study produces data, namely, there is a very significant relationship between salary and employee performance which has a significant value of 0.003 and there is a significant relationship between annual bonuses and employee performance which has a significant value of 0.002 with this value, the independent and dependent variables have a significant relationship very significant.]]>
<![CDATA[Application of Artificial Intelligence on Puzzle-8 Using Steepest Ascent Hill Climbing Algorithm ]]>
<![CDATA[Y Yendrizal]]>
<![CDATA[ IJISTECH (International Journal of Information System and Technology) Vol 6, No 1 (2022): June ]]>
Publisher : <![CDATA[Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa ]]>
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DOI: 10.30645/ijistech.v6i1.208
<![CDATA[The Steepest-Ascent Hill Climbing algorithm is part of the implementation of artificial intelligence. To solve the case problem in Puzzle 8, an algorithm is needed to obtain the final result. Problems that often occur in this algorithm include, 1. the state of all adjacent boxes is worse or equal to its own state, 2. the state of all adjacent cities is the same as its own state, 3. local optimum which is due to the inability to use all operators at once. The way the Ascent Hill Climbing algorithm works is to start with the initial state, perform the test, if it is a goal then stop, and if not, continue with the current state as the initial state. The final result of this research is that there are 5 incorrect positions, after the completion process there are 8 correct puzzle positions according to the final state. Thus the test is stopped because it has obtained the final state.]]>
