Articles
40 Documents
<![CDATA[Home Kredit Integration System and Vehicle Insurance Policy Simas Insurtech at Sinar Mas Insurance ]]>
<![CDATA[Jemi Yosua Laoere]]>
<![CDATA[ International Journal of Information Technology and Business Vol. 7 No. 1 (2024): November: International Journal of Information Techonology and Business ]]>
Publisher : <![CDATA[Universitas Kristen Satya Wacana ]]>
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DOI: 10.24246/ijiteb.712022.22-28
<![CDATA[Web service API is meant for each platform to be connected and can be used for personal, group, or company needs. Web service API in the insurance world is used for insured parties to get their policy numbers and payment details for insurance purposes both for self-insurance and the property of the insured. By using a primary data collection method that is directly from the source, by using existing parameters in the procedure that was made previously to be able to get a valid policy number and is used by the insured as a form of cooperation with the Sinar Mas Insurance company. The results of the analysis are the number of policies that have been processed, will be used for the insured to make insurance claims on the insurance. This API has been made which aims to facilitate interaction between application platforms both web-based or mobile in data retrieval without regard to the platform used so that the activity of exchanging data between applications can run properly.]]>
<![CDATA[Artificial Intelligence Powered Chatbot for Business ]]>
<![CDATA[Effah Abdullah Kadasah]]>
<![CDATA[ International Journal of Information Technology and Business Vol. 5 No. 2 (2023): April : International Journal of Information Technology and Business ]]>
Publisher : <![CDATA[Universitas Kristen Satya Wacana ]]>
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DOI: 10.24246/ijiteb.522023.18-23
<![CDATA[Text has become an essential interaction manner between people. The use of chatbots improved quickly in business area including marketing, customer service and e-commerce. Users value chatbots because they are fast, intuitive and convenient. This paper discussed about the artificial intelligence technology that used to develop and implement chatbots which can the organization used to benefit in their businesses. A chatbot is a computer program that can interact with a human by using natural language. The main three areas in business that using chatbot the most are marketing, customer service and e-commerce fields. The roles of chatbot in mentioned areas has been discussed in this paper. AI powered chatbots transform business by reducing costs, increasing revenue and enhancing the customer experience. The benefits and limitation of chatbots have been also discussed in this paper.]]>
<![CDATA[cANT WUM : Web User Classification using Ant Colony Optimization Algorithm ]]>
<![CDATA[Abdurrahman Abdurrahman]]>;
<![CDATA[Riyanto BT]]>;
<![CDATA[Govindaraju R]]>;
<![CDATA[Mandala R]]>
<![CDATA[ International Journal of Information Technology and Business Vol. 6 No. 2 (2024): April: International Journal of Information Technology and Business ]]>
Publisher : <![CDATA[Universitas Kristen Satya Wacana ]]>
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DOI: 10.24246/ijiteb.622024.11-16
<![CDATA[Web Usage Mining (WUM) is the use of data mining methods to extract knowledge from web usage data. One function of WUM is to support Business Intelligence (BI) purpose in which one of the important information needed is the classification of web users that can be used for acquisition, penetration, and user retention activity. There are two main problems encountered in conducting the classification of web users. The first is the determination of antecedent attributes as a term of classification rules, which is a major problem in data mining classification function in general. The second problem is the preprocessing activity which involves preparing the supporting data for the web users’ classification need which is the most difficult stage in WUM. For the web user classification method, we propose a classification method based on ant colony optimization method (ACO) as a distributed intelligent system using heuristic function which is in line with the problem areas. We proposed a heuristic functions for web user classification based on web usage data that uses entropy of antecedent candidate, information gain from attribute of total number of web user access and average of access duration of web user. For preprocessing purpose, a method of data preparation that can support the needs of web users’ classification is proposed. The data used consists of web access log data, web user profile data and web transaction data. The preprocessing activity consists of parsing, data cleansing, and extraction of the web user sessions using heuristic method concerning web page access timeout and differences in web browser agent. Testing is done by comparing the performance of the proposed algorithm with Ant-Miner algorithm, cAnt-Miner algorithm, and the Continuous Ant-Miner algorithm. The results of testing of four web data shows that the performance of the proposed algorithm is better in terms of accuracy of rules and simplification of rules.]]>
<![CDATA[The Distribution Pattern of New Students Admissions Using the K-Means Clustering Algorithm ]]>
<![CDATA[Mercylia Jillsy Miranda Moningkey]]>;
<![CDATA[Daniel Riano Kaparang]]>;
<![CDATA[Herry Sumual]]>
<![CDATA[ International Journal of Information Technology and Business Vol. 6 No. 2 (2024): April: International Journal of Information Technology and Business ]]>
Publisher : <![CDATA[Universitas Kristen Satya Wacana ]]>
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DOI: 10.24246/ijiteb.622024.01-10
<![CDATA[The characteristics of prospective new students who re-register can produce a distribution pattern of new student admissions according to the data obtained. The results of the distribution pattern can be used as material for decision making in determining the socialization and promotion of study programs at universities. To produce a pattern, it requires grouping based on data that has the same character. The k-means algorithm, which is an algorithm in data mining processing methods for clustering, is successful in classifying new student admissions by maximizing the similarity of characteristics between data in one cluster which is different from data in other clusters. This is evidenced by direct application based on data mining procedures to data on new student admissions for Engineering Faculty, Manado State University for 2018, 2019, and 2020 with 8 selected variables. After clustering using the RStudio application, Data 2018 generates 6 clusters, 2019 data generates 3 clusters, and 2020 data generates 4 clusters. There are some re-registration characteristics that are common to all three years, which can be read easily after clustering.]]>
<![CDATA[New Design of Encryption with Covertext and Reordering ]]>
<![CDATA[Eka Ardhianto]]>;
<![CDATA[Widiyanto Tri Handoko]]>;
<![CDATA[Hari Murti]]>;
<![CDATA[Rara Sri Artati Redjeki]]>
<![CDATA[ International Journal of Information Technology and Business Vol. 5 No. 2 (2023): April : International Journal of Information Technology and Business ]]>
Publisher : <![CDATA[Universitas Kristen Satya Wacana ]]>
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DOI: 10.24246/ijiteb.522023.01-05
<![CDATA[Documents for some entities are confidential and important, so security is required. Encryption with Covertext and Reordering (ECR) is a text-based document security model. ECR uses a random key to generate the ciphertext. The ECR’s random key is selected using the human-generated method. This research aims to increase the level of document security based on the ECR mechanism. This paper proposes a new method by using a random key in a permutated table. The random key is generated automatically by a function. The entropy is used as a measurement of the security level of the encrypted documents. The experimental shows that the permutated table inside the ECR provides better entropy values. It implies a better security level. The use of permutated tables also makes it easier to use ECR to secure documents.]]>
<![CDATA[Data Mining Modeling Feasibility Patterns of Graduates Ability with Stakeholder Needs Using Apriori Algorithm ]]>
<![CDATA[Henny Indriyawati]]>;
<![CDATA[Titin Winarti]]>
<![CDATA[ International Journal of Information Technology and Business Vol. 5 No. 2 (2023): April : International Journal of Information Technology and Business ]]>
Publisher : <![CDATA[Universitas Kristen Satya Wacana ]]>
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DOI: 10.24246/ijiteb.522023.12-17
<![CDATA[This The speed of information, the accuracy of data, the ease of information services, and accountability are very important reasons for the implementation of the system. Semarang University (USM) is a private university in Semarang that has the most 2 students in Central Java. Based on the 2019 USM tracer data showing horizontal alignment, namely how close the relationship between the field of study and alumni work is, it appears that there is still a discrepancy in the ability of graduates with stakeholders. The Apriori algorithm is the best-known algorithm for finding high-frequency patterns Rules that state associations between attributes are often called affinity analysis or market basket analysis. The use of the Apriori Algorithm in data mining calculations using data from the Semarang University tracer that the limit of the minimum support is 50% and the minimum confidence is 100% so that it forms 4 rules. From the four rules produced that modeling using the Apriori Algorithm can produce several rule formations so that it can provide an evaluation to the University for compiling steps, this can be seen because the resulting rules are different because each graduate relationship with the desired desires and different styles. ]]>
<![CDATA[MSMEs Sales Information System by Papuan Children’s in Nabire ]]>
<![CDATA[Penison Wenda]]>;
<![CDATA[Eko Sediyono]]>
<![CDATA[ International Journal of Information Technology and Business Vol. 6 No. 1 (2023): November : International Journal of Information Technology and Business ]]>
Publisher : <![CDATA[Universitas Kristen Satya Wacana ]]>
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DOI: 10.24246/ijiteb.612023.10-16
<![CDATA[Offline and online business developments continue to develop in the midst of the covid-19 outbreak that continues to hit, some are unable to adapt so that their business goes bankrupt and some are able to survive and also grow, for that the MSMEs (Micro Small and Medium Enterprises) sales information system of Karya Anak Papua must be able to understand the existing situation because technological developments continue to develop in every business sector. This situation has an impact on the local community, especially the local Papuan community, who with improvised conditions and minimal business strategies try to survive in any way so that their daily needs can be met, some have started to pick up technology by starting to market their work online, but some have also started to pick up technology by starting to market their work online. which have not been. The role of MSMEs (Micro Small and Medium Enterprises) for the country's economy is very important and strategic. This is supported by data on MSMEs (Micro Small and Medium Enterprises) macroeconomic indicators which are quite dominant in the Indonesian economy. In accordance with the economic development of the regions in Indonesia, there are many obstacles faced by the local government in developing MSMEs originating from internal and external. the best policy in developing MSMEs. This study wants to examine the development of MSMEs (Micro Small and Medium Enterprises) leading commodities in Nabire Regency.]]>
<![CDATA[Closed Beta Testing on Filariasis Treatment Monitoring Applications ]]>
<![CDATA[Eko Budi Susanto]]>;
<![CDATA[Paminto Agung Christianto]]>;
<![CDATA[Mohammad Reza Maulana]]>;
<![CDATA[Nur Fadhilah]]>
<![CDATA[ International Journal of Information Technology and Business Vol. 5 No. 2 (2023): April : International Journal of Information Technology and Business ]]>
Publisher : <![CDATA[Universitas Kristen Satya Wacana ]]>
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DOI: 10.24246/ijiteb.522023.06-11
<![CDATA[Monitoring applications for filariasis treatment have been developed to overcome the problem of elephantiasis or filariasis, one of which is the lack of monitoring during the distribution of elephantiasis medicines. One of the stages of application development is testing. Testing is conducted to ensure the application is ready to be implemented. In this study, closed beta testing was conducted to determine the feasibility of the application. The results of the validity test and reliability test showed that the results obtained were that all items on the questionnaire were declared valid and reliable. While the results of the feasibility test on the questionnaire results stated that the application was very feasible to be implemented.]]>
<![CDATA[Improving Batik and Dropship SMEs Market through Geographic Information System ]]>
<![CDATA[Agus Ilyas]]>;
<![CDATA[Sattriedi Wahyu Binabar]]>;
<![CDATA[Tri Agus Setiawan]]>;
<![CDATA[Paminto Agung Christianto]]>
<![CDATA[ International Journal of Information Technology and Business Vol. 5 No. 2 (2023): April : International Journal of Information Technology and Business ]]>
Publisher : <![CDATA[Universitas Kristen Satya Wacana ]]>
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DOI: 10.24246/ijiteb.522023.24-30
<![CDATA[The information providing about dropship, Small and Mid-size enterprise (SMEs), in Pekalongan city recently is done by brochure, banner and social media. Nevertheless, other than social media, the promotion media is possible to be seen when visitor is on the spot. The research is aimed at supporting the troubleshooting matters by adapting the Geographic Information System (GIS) in mapping about Batik SMEs dropship in Pekalongan city. The web based GIS will ease the market player, tourists or visitors as well as the society to get such information about dropship, SME centre and Batik market. The providing of web based GIS in informing the dropship, SME centre and Batik market in Pekalongan city is expected to give positive impact to Batik businessmen and to improve the economic rate in Pekalongan city.]]>
<![CDATA[Conditional GAN Approach for Image to Image Translation on Potato Leaf ]]>
<![CDATA[Radius Tanone]]>
<![CDATA[ International Journal of Information Technology and Business Vol. 6 No. 1 (2023): November : International Journal of Information Technology and Business ]]>
Publisher : <![CDATA[Universitas Kristen Satya Wacana ]]>
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DOI: 10.24246/ijiteb.612023.17-20
<![CDATA[In taking pictures using a camera, for example, it often results in poor image quality. The resulting image quality can be in the form of black and white images. This can interfere with further processing of the image. Specifically, this can happen in the agricultural sector, such as the results of a bad potato leaf image (black and white). In fact, the images of leaves from agricultural land will be used for image processing which can help with the planting process, for example. This is of course very disturbing, so a way is needed to translate a gray scale image into an image that has a color resembling the shape of an actual leaf. In fact, the development of Deep Learning with various models has grown rapidly, one of which is the Conditional GAN which can process image to image translation. Seeing the purpose of the Conditional GAN, this paper implements the Pix2Pix model based on the Conditional GAN which aims to translate black and white images into images that have color. This experiment produces images with colors that match the original image with good quality. So that with the results of this experiment, it is hoped that problems with taking images that are sometimes not good enough can be solved by image translation using deep learning. ]]>
