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 Data Mining Associations on Drug Sales at Pharmacies with APRIORI Techniques ]]>
<![CDATA[Salam Irianto Nadeak]]>;
<![CDATA[Yusmar Ali]]>
<![CDATA[ IJISTECH (International Journal of Information System and Technology) Vol 5, No 1 (2021): June ]]>
Publisher : <![CDATA[Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa ]]>
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DOI: 10.30645/ijistech.v5i1.113
<![CDATA[The purpose of the research is to utilize artificial intelligence techniques in analyzing drug sales. Sources of data used are observations and interviews with shop owners. The method used as a solution is the Association method with the Apriori technique. By using the RapidMiner software, the test results are obtained using a minimum support of 25% and a minimum of 60% confidence as many as 5 rules with a predetermined itemset. The results of the study are expected to provide information and make it easier for related parties to find combinations of selling items. The results of this analysis can be used by pharmacies for marketing strategies and product promotion.]]>
<![CDATA[Implementation of Product Sales Forecast Using Artificial Neural Network Method ]]>
<![CDATA[Cholid Fauzi]]>;
<![CDATA[Aly Dzulfikar]]>
<![CDATA[ IJISTECH (International Journal of Information System and Technology) Vol 5, No 2 (2021): August ]]>
Publisher : <![CDATA[Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa ]]>
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DOI: 10.30645/ijistech.v5i2.126
<![CDATA[Product sales forecasting is used by companies to estimate or predict future sales levels using sales data in the previous year. The Artificial Neural Network Backpropagation Algorithm can forecast the sales of goods for the next period for each item in the company. The forecasting process begins by determining the variables needed in the network pattern, and then the established network pattern continued in the network training process using the backpropagation algorithm. After carrying out the network training process, the researcher comparisons with several network patterns formed. This research was conducted to discuss the forecasting analysis of PT XYZ products on spiral and leaf springs. Forecasting carried out on Toyota 48210-25290 R3 type leaf springs using the Artificial Neural Network Backpropagation method with a learning rate weight value of 0.1 hidden layers four and an error of 0.01. From the data processing analysis that has been carried out based on the weight parameters selected, the prediction of sales in April.]]>
<![CDATA[Aplication of The SMARTER Method for The Selection of The Best Ambassador Brand ]]>
<![CDATA[Nasib Marbun]]>;
<![CDATA[Muhammad Zarlis]]>;
<![CDATA[Rahmat Widia Sembiring]]>
<![CDATA[ IJISTECH (International Journal of Information System and Technology) Vol 5, No 2 (2021): August ]]>
Publisher : <![CDATA[Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa ]]>
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DOI: 10.30645/ijistech.v5i2.120
<![CDATA[This study aims to provide convenience for the company's management to solve problems in the process of selecting the best Brand Ambassador in promoting cosmetic tools. The problem identified in this study is the large number of prospective Brand Ambassadors, causing the management to find it difficult to determine the best Brand Ambassador. In this study, the decision support method applied is SMARTER which can determine the ranking results in the final decision using the level of importance of each parameter. The results of this study conclude that the selection of the best Brand Ambassador who is ranked first is A5 (Lucky) with a value of 0.653108466]]>
<![CDATA[Comparative Analysis of Ranking Methods of WASPAS+ROC with Preference Selection Index (PSI) in Determining the Performance of Young Lecturers ]]>
<![CDATA[Fince Tinus Waruwu]]>;
<![CDATA[M Mesran]]>
<![CDATA[ IJISTECH (International Journal of Information System and Technology) Vol 5, No 2 (2021): August ]]>
Publisher : <![CDATA[Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa ]]>
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DOI: 10.30645/ijistech.v5i2.136
<![CDATA[Young Lecturers are lecturers who have a relatively new tenure compared to lecturers who have served more than 10 (ten years) at a university. Assessment of the performance of young lecturers at universities is very necessary, it aims to get an assessment of the performance achievements of the tri dharma of higher education that have been passed in several years. In order for the assessment of performance achievements to be more effective, a method is needed in generating decisions. In this study, an analysis of the combination of the Weighted Aggregated Sum Product Assessment (WASPAS) and Rank Order Centroid (ROC) methods was carried out with the Preference Selection Index (PSI) method. The WASPAS method is a ranking method that requires weights. For this reason, the ROC method is used to generate weight values. While the PSI method is a PSI method that is used to rank without the need for a weight value for each attribute. The results showed that alternative A1 is the best alternative with the highest performance with a value of 0.323 (WASPAS+ROC method) and a value of 2.016 (PSI method).]]>
<![CDATA[Developing The 7 Stages of Startup (The Maturity Level of Startup): The Concepts of Startup Development Methodology ]]>
<![CDATA[Asih Rohmani]]>;
<![CDATA[Indra Gamayanto]]>;
<![CDATA[Titien S Sukamto]]>
<![CDATA[ IJISTECH (International Journal of Information System and Technology) Vol 5, No 1 (2021): June ]]>
Publisher : <![CDATA[Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa ]]>
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DOI: 10.30645/ijistech.v5i1.114
<![CDATA[The development of e-commerce is growing very fast and cannot stop; it changes various sides of human life. This change is a big challenge for everyone, and this is a condition that must occur so that everyone can carry out activities more effectively and efficiently. This research produces a few kinds of Startup classification and Customer Relationship Management (CRM) classification. Furthermore, it provides C=R.S2 formula, a formula for developing CRM, and S=H.I2.M formula, a formula for developing a Startup. These two formulas were eventually evolving into the seven stages of Startup (the maturity level of Startup), where the seven steps are the stages in developing a Startup, starting from the local level to the international level. These seven stages work so that the Startup founder can gradually understand what needs and how to develop it by focusing more on CRM. The results of this study are a framework to be able to implement the seven stages. This research results from previous studies' development: The Development of Innovative CRM E-Commerce: The Case of Blibli. Com.]]>
<![CDATA[Implementation of Geolocation and Jquery Latest For Salesman Monitoring in Android Based Applications ]]>
<![CDATA[Ganda Yoga Swara]]>;
<![CDATA[Putri Mandarani]]>;
<![CDATA[G Giatman]]>;
<![CDATA[S Syahril]]>
<![CDATA[ IJISTECH (International Journal of Information System and Technology) Vol 5, No 2 (2021): August ]]>
Publisher : <![CDATA[Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa ]]>
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DOI: 10.30645/ijistech.v5i2.127
<![CDATA[The purpose of this study is to design a sales activity monitoring application by utilizing the existing GPS on a smartphone. This research is an experimental research with the waterfall method. There are 5 stages in the waterfall method, namely requirements analysis, system design, implementation, integration & testing, operation & maintenance. Testing is done by testing the latest geolocation and jquery to see the success, failure or delay in the three test locations. The result of this research is that under the tree the highest success rate is 0.875, the lowest failure rate is 0.125 and the smallest delay (distance between data entry) is 0.45. The conclusion of this study is that the tracking system using Geolocation and the Latest jQuery if implemented in an open space with conditions under trees gets the highest rating compared to other test locations]]>
<![CDATA[Maturity Level Analysis of Inventory Information Systems Using COBIT 4.1 Framework at PT. MEDISTA UTAMA ]]>
<![CDATA[Susi Susilowati]]>
<![CDATA[ IJISTECH (International Journal of Information System and Technology) Vol 5, No 1 (2021): June ]]>
Publisher : <![CDATA[Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa ]]>
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DOI: 10.30645/ijistech.v5i1.108
<![CDATA[PT. Medista Utama is a company engaged in the distribution of medical devices. We have implemented an information system in the inventory section that is used to control the movement of products in the company. The system used must be able to manage, convey and maintain information security properly. So it is necessary to carry out an audit that aims to evaluate the information system governance that is running and ensure that the existing procedures support the existing business processes in the company. The audits were conducted following the standards of the COBIT 4.1 Framework for IT governance. This study will focus on the Delivery Service and Support (DSS) domain to analyze several aspects of IT that are currently running in this company, from the level of system security used to the management carried out by the system. In this domain, the research is focused on the DS5, DS10, and DS11 sub-domains. From the research results it is known that DS5 is at the level of 1.3; DS10 and DS11 are at level 2 (Repetitive but Intuitive). The conclusion is the level of capability obtained from the inventory information system of PT. Medista Utama is still below the expected level. And many improvements are needed to maximize the company's performance to achieve the expected Maturity Level value.]]>
<![CDATA[Developing e-Commerce of Unique Indonesian Souvenirs with Web Engineering ]]>
<![CDATA[Cholid Fauzi]]>;
<![CDATA[M. Hoeru Riza]]>
<![CDATA[ IJISTECH (International Journal of Information System and Technology) Vol 5, No 2 (2021): August ]]>
Publisher : <![CDATA[Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa ]]>
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DOI: 10.30645/ijistech.v5i2.121
<![CDATA[E-Commerce Unique Regional Souvenirs in Indonesia is a buying and selling application made to make it easier for tourists to find a place or location for typical regional gifts and make it easier for tourists to order souvenirs during a pandemic like now, as well as a means for traveler's local souvenir sellers to promote their products online. Making regional e-commerce specialties in Indonesia uses the Web Engineering paradigm and system modeling with UML (unified modeling language) with business cases, activities, use cases, and class diagrams. At the same time, the database management software uses MySQL with the PHP programming language and the Laravel Framework. The system design is expected to make it easier for people to find local souvenirs based on the place or location of souvenir merchants and local souvenir sellers to promote their products online]]>
<![CDATA[Data mining techniques are being used to map the number of foreign guests at Indonesian star hotels ]]>
<![CDATA[Debi Masri]]>;
<![CDATA[Sri Kasnelly]]>
<![CDATA[ IJISTECH (International Journal of Information System and Technology) Vol 5, No 2 (2021): August ]]>
Publisher : <![CDATA[Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa ]]>
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DOI: 10.30645/ijistech.v5i2.137
<![CDATA[Statistics on foreign tourist arrivals show an upward trend in recent years. This is beneficial because foreign exchange in the tourism sector is generated by spending by foreign tourists visiting Indonesia. Mapping the number of tourists who visit Indonesia is necessary to determine the extent of a region's natural potential. The number of foreign guests at Indonesia's star hotels is one indicator that can be used. The goal of this study is to use data mining techniques to visualize the mapping pattern of the number of foreign guests at five-star hotels in order to obtain important information. The Central Statistics Agency (abbreviated BPS) provided the data for the number of foreign guests at five-star hotels in 2017-2019. Clustering with the k-medoids technique is the data mining method employed. The Davies-bouldin index (DBI) operator is used to calculate the number of clusters. The number of good clusters was 3 (k=3), with cluster 0 (low) = 20 provinces, cluster 1 (normal) = 23, and cluster 2 (high) = 1 province, and a DBI value of 0.215 (k=3). According to the study's findings, the province of Bali is one of the areas with the greatest potential for foreign tourist visits (high cluster). Meanwhile, there are 20 provinces with a low number of foreign visitor visits, so this can be used to assess how to increase the number of foreign visitor visits to the province.]]>
<![CDATA[Decision Making on Student Academic Achievement Assessment Using the Topsis Method ]]>
<![CDATA[S Susliansyah]]>;
<![CDATA[Aditia Dwinanto]]>;
<![CDATA[Heny Sumarno]]>;
<![CDATA[Hendro Priyono]]>;
<![CDATA[Linda Maulida]]>
<![CDATA[ IJISTECH (International Journal of Information System and Technology) Vol 5, No 1 (2021): June ]]>
Publisher : <![CDATA[Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa ]]>
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DOI: 10.30645/ijistech.v5i1.115
<![CDATA[Student academic achievement is a very important matter for all school parties that are directly or indirectly related, especially for Depok Tourism Vocational School, student academic achievement is one of the benchmarks in the success of education. Currently, the process of determining student achievement from the academic side of the Depok Tourism Vocational School is still using a manual system, so it takes a long time to determine the assessment of student academic achievement, because there are quite a lot of student data recording. In addition, it is still less relevant because it has not used the right calculation method, resulting in inaccurate calculations. This research uses the Technique For Order Preference by Similarity to Ideal Solution (TOPSIS) method, because this method is a simple concept and easy to understand and to help the optimal decision-making process to solve practical decision problems. The results of the research using the Technique For Order Preference by Similarity to Ideal Solution (TOPSIS) method found that students with the name Akmal Adnanto got the first rank with the highest preference value of 0.760.]]>
