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Journal of Information Systems Engineering and Business Intelligence

JISEBI
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Published by Universitas Airlangga

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Core Subject : Science,

Computer Science & IT

Jurnal ini menerima makalah ilmiah dengan fokus pada Rekayasa Sistem Informasi ( Information System Engineering) dan Sistem Bisnis Cerdas (Business Intelligence) Rekayasa Sistem Informasi ( Information System Engineering) adalah Pendekatan multidisiplin terhadap aktifitas yang berkaitan dengan pengembangan dan pengelolaan sistem informasi dalam pencapaian tujuan organisasi. ruang lingkup makalah ilmiah Information Systems Engineering meliputi (namun tidak terbatas): -Pengembangan, pengelolaan, serta pemanfaatan Sistem Informasi. -Tata Kelola Organisasi, -Enterprise Resource Planning, -Enterprise Architecture Planning, -Knowledge Management. Sistem Bisnis Cerdas (Business Intelligence) Mengkaji teknik untuk melakukan transformasi data mentah menjadi informasi yang berguna dalam pengambilan keputusan. mengidentifikasi peluang baru serta mengimplementasikan strategi bisnis berdasarkan informasi yang diolah dari data sehingga menciptakan keunggulan kompetitif. ruang lingkup makalah ilmiah Business Intelligence meliputi (namun tidak terbatas): -Data mining, -Text mining, -Data warehouse, -Online Analytical Processing, -Artificial Intelligence, -Decision Support System.

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Articles 11 Documents

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Search results for , issue "Vol. 5 No. 1 (2019): April" : 11 Documents clear

Using Webqual 4.0 and Importance Performance Analysis to Evaluate E-Commerce Website Johanes Fernandes Andry; Kevin Christianto; Fuji Rahayu Wilujeng
Journal of Information Systems Engineering and Business Intelligence Vol. 5 No. 1 (2019): April
Publisher : Universitas Airlangga

Background: The success of E-Business brings the highlight to websites as a tool to interact between company and customer. And recent studies indicate that quality of the website becomes something to be concern for company. Just like Huang pointed out that if company wants to build loyalty from their customer to get customer retention, one of much aspect that has to be noticed is the service quality from website.Objective: This study examines quality of website, such as Lazada. Website that author used in this research, to see what quality that website has and what the importance of that quality has. Methods: This study used Webqual 4.0 methodology to evaluate the website quality and see the importance of that quality using IPA (Importance Performance Analysis) to see how Lazada maintain that user expectations.Results: From three dimension that Webqual 4.0 provide for this research and total of 124 students as sample this research, authors found that all of three has significance result to satisfied customer with specific aspect on facilities, menus and contents from the website.Conclusion: Average respondent from students Bunda Mulia University was satisfied with the facilities, menus and contents in the web both from the value of all respondents and each research variable. The existing results from website user can be used as feedback on evaluation and development of Lazada website to be more accommodating to the wishes and in accordance with the expectations of website users.

The Effect of Service Quality on T-Cash Customer Satisfaction using System Dynamics Framework Dhyna Octabriyantiningtyas; Erma Suryani
Journal of Information Systems Engineering and Business Intelligence Vol. 5 No. 1 (2019): April
Publisher : Universitas Airlangga

Background: Every year, the number of T-Cash users is increasing significantly. However, the increase is not in sync with the number of T-Cash transactions. In this year, it was noted that active T-Cash users were only 35%. Some clinical studies have established an assessment of the quality of services, there are several dimensions assessed according to the topic of research. The dimensions of service quality used in this study are dimensions of efficiency, reliability, responsiveness, privacy, and security.Objective: This study aims to build general models and simulations in increasing customer satisfaction with the quality of T-Cash services and produce the best scenarios that can be used by policymakers in increasing customer satisfaction.Methods: System dynamics framework is utilized for the development of the model and scenarios. Because by using a system dynamics framework can predict service quality sometime in the future so that it can produce policies for the company.Results: The simulation results are considered valid because they produce E1 values of 3% (E1 valid when E1 ≤ 5%) and E2 of 7% (E2 valid when E2 ≤ 30%). E1 is mean comparison and E2 is error variance. Based on these 2 scenarios, a policy can be taken that scenario 1 significantly increases customer satisfaction compared to scenario 2.Conclusion: Based on the simulation that has been done, it can be concluded that the dimensions of responsiveness, privacy, reliability, security, and efficiency have an effect on improving service quality. On the scenario 1, it can be concluded that with the addition of the user friendliness dimension, the service quality will experience a significant increase over the next 5 years.

An Innovative Tour Recommendation System using Graph Algorithms Md. Sabir Hossain; Ahsan Sadee Tanim; Nabila Nawal; Sharmin Akter
Journal of Information Systems Engineering and Business Intelligence Vol. 5 No. 1 (2019): April
Publisher : Universitas Airlangga

Background: Tour recommendation and path planning are the most challenging jobs for tourists as they decide Points of Interest (POI).Objective: To reduce the physical effort of the tourists and recommend them a personalized tour is the main objective of this paper. Most of the time people had to find the places he wants to visit in a difficult way. It kills a lot of time.Methods: To cope with this situation we have used different methodology. First, a greedy algorithm is used for filtering the POIs and BFS (Breadth First Search) algorithm will find POI in terms of user interest. The maximum number of visited POI within a limited time will be considered. Then, the Dijkstra algorithm finds the shortest path from the point of departure to the end of tours.Results: This work shows its users list of places according to the user's interest in a particular city. It also suggests them places to visit in a range from the location of the user where a user can dynamically change this range and it also suggests nearby places they may want to visit.Conclusion: This tour recommendation system provides its users with a better trip planning and thus makes their holidays enjoyable.

Customer Satisfaction Analysis of Online Taxi Mobile Apps Army Justitia; Rini Semiati; Nadhila Ramadhini Ayuvinda
Journal of Information Systems Engineering and Business Intelligence Vol. 5 No. 1 (2019): April
Publisher : Universitas Airlangga

Background: High number of complaints that have been filed about the performance of online taxi services has prompted research on customer satisfaction factor analysis. Substantial research has addressed customer satisfaction factors in online taxi services, but none of them investigated the satisfaction in using the mobile apps.Objective: This study aims to find out the level of customer satisfaction and customer satisfaction factors in the online taxi mobile app services.Methods: This study is quantitative in nature, using questionnaires and purposive sampling method. The Customer Satisfaction Index (CSI) and Important-Performance Analysis (IPA) were used to determine the customer satisfaction factors, with the variables being route detection, connection, interaction, content, and service quality; as well as customer satisfaction, customer’s complaint, and customer loyalty. The data was processed using SPSS software.Results: The results showed that the level of customer satisfaction was 76.117% and fell into Cause of Concern category. This means that the system performance did not meet customer expectations. The results also showed that the best three factors in online taxi mobile apps are route detection, interaction, and content quality. Meanwhile, the factors that caused customer dissatisfaction were connection and service quality. The variables that led to satisfaction need to be maintained and the variables that did not were in Quadrant 1.Conclusion: The customer satisfaction was low so it is advisable that the companies immediately take an action to improve their performance and revise their strategic planning. In doing so, they must prioritize the attributes which have the biggest gap because these are the ones that will improve customer satisfaction.

Geographic Information System for Mapping the Potency of Batik Industry Centre Taryadi Taryadi; Sattriedi Wahyu Binabar; Dicke JSH Siregar
Journal of Information Systems Engineering and Business Intelligence Vol. 5 No. 1 (2019): April
Publisher : Universitas Airlangga

Background: As one of batik producer city in Indonesia, Pekalongan city needs medium and infrastructure that able to provide the information needed by either the local government or the society. The need about information of Batik city center in Pekalongan will provide the information about the batik center for the local government in the potency, obstacle and the needs of Small and Medium Batik Enterprises Centre to improve the Batik Production.Objective: The research is aimed at mapping the potency of batik center in Pekalongan city by implementing Geographic Information System Technology. The information about batik center in Pekalongan city needs to be maintained. The maintenance in information field is needed upon the batik center in Pekalongan.Methods: The method used in mapping the batik potency in Pekalongan city is the Geographic Information System (GIS) by providing the information based on a spatial data. Whereas the waterfall system development is used in developing the GIS.Results: The research resulted the application in mapping the batik center with GIS based that provide reference to the related parties about information and planning as well as investment in batik business.Conclusion: The system is able to provide the information needed by users, such as business mapping, the mapping about the amount of business in one area, the batik potency in each district that is figured for mapping location.

Understanding the Risk Model to the Management Information System of the Supply Chain in the Company's Logistics Process Dedy Ricardo Serumena; Alb Joko Santoso; B Kristyanto
Journal of Information Systems Engineering and Business Intelligence Vol. 5 No. 1 (2019): April
Publisher : Universitas Airlangga

Background: Various company resources involved in the business become a common commodity that must be used the distinguished is how the management needs manage its information system. Risk Management is one of the arts and sciences in identifying, analyzing, and responding to every risk throughout the product lifecycle.Objective: to investigate the effects of risk management on the performance of the company so they have competitive advantage to maintain their market profits.Methods: We identified and analyzed the weaknesses of one of the Fishing Companies (Pt. Nusantara Fisheries) located in Eastern Indonesia (Ambon) the capital of Maluku province. The approach was carried out by interviewing the highest chair (Branch Head), then 2 administrative and information systems staff, 6 raw material processing company technicians, 4 agents and 16 suppliers from 4 different vessels. The questionnaire was used to find out how important the risk management in the logistics and supply chain so that it found out the risks that were affecting their performance.Results: The results of this approach provided almost 90% of the information needed to analyze the response of this company in the Supply Chain Management conceptual strategy because it had a positive impact on selection, determined the scope of the company, developed a realistic schedule and estimated the right target costs in involving team members to determine strengths and weaknesses in the Supply Chain Process.Conclusion: the companies were able to minimize business failures and the strategy had positive impact.

Anapedia – An Open Web-based Encyclopedia for Indonesian Children Nur Hayatin; Rizky Ade Mahendra; Dwi Arif Al-mubarok; Ahmad Dhana Renomi; Elbert Setiadharma; Adhi Bagus Setiawan; Tri Fidriyan Arya; Farid Dadhee; Fadil Ramadhan; Sandy Young; Ahmad Al Ghivani
Journal of Information Systems Engineering and Business Intelligence Vol. 5 No. 1 (2019): April
Publisher : Universitas Airlangga

Background: The limited number of web and child applications becomes a challenge especially providing web or education app that can be a source of information referral to help the school task, especially for the needs of children in Indonesia.Objective: This study answers the challenge by designing a special encyclopedia for children called Anapedia, an open web-based encyclopedia for children.Methods: Anapedia designed for the quality of content for education and design for entertainment that is suitable for children's needs by considering the children cognitive abilities.Results: The features are full-color, simple layout, large font sizes, and simple language with illustrated drawing to make it easier. For maintain the quality of the articles, this app involves the educator as a contributor who have better understand the characteristic and need of school-level children. This also provided a search feature based on keywords using information retrieval system with spell checker.Conclusion: The results of testing result with Black Box Method, it can be concluded that the entire system being tested has been functioning properly in accordance with expectations.

Academic Business Intelligence: Can a Small and Medium-sized University Afford to Build and Deploy it within Limited Resources? Wahyudi Agustiono
Journal of Information Systems Engineering and Business Intelligence Vol. 5 No. 1 (2019): April
Publisher : Universitas Airlangga

Background: For many years, researches on Business Intelligence (BI) development have been popular in primary industry (trading, telecommunication, and manufacturing). Nevertheless, the academic sector has not been the primary beneficiary. This lack of practices also means there has been limited knowledge relating to the development of BI in the academic sectorObjective: This study presents the development of an Academic Business Intelligence (ABI). Taking an actual ABI development project in a small and medium-sized university in Indonesia context, it specifically sought to understand as to why the university needed an ABI and how it could be developed within the limited resources (funding, IT infrastructure and expertise).Methods: Following the business intelligence development roadmap, this study was able to develop an ABI as an attempt to provide a smart way for generating valuable information from scattered data interactively. It also successfully deployed the newly developed ABI into the existing IT legacy and then run a series of pilot testing involving the intended users.Results: The results showed the acceptance rate was high (87.25%) and suggested that the system found to be usable for conducting students' performance assessment and decision making faster. In short, this study contributes to the growing body of BI development literature by providing empirical evidence on how to successfully develop a BI within the unique context of the academic sector.Conclusion: Considering the findings, this study also draws practical recommendations and highlights a few limitations from which future study could address, especially when developing BI or similar ABI in particular.

Academic Decision Support System for Choosing Information Systems Sub Majors Programs using Decision Tree Algorithm Cut Fiarni; Evasaria M. Sipayung; Prischilia B.T. Tumundo
Journal of Information Systems Engineering and Business Intelligence Vol. 5 No. 1 (2019): April
Publisher : Universitas Airlangga

Background: Educational data mining is an emerging trend, especially in today Big Data Era. Numerous method and technique already been implemented in order to improve its process to gain better understanding of the educational process and to extract knowledge from various related data, but the implementation of these methods into Decision support system (DSS) application still limited, especially regarding help to choose university sub majors .Objective: To design an academic decision support system (DSS) by adopting Theory of Reasoned Action (TRA) concept and using Data Mining as a factor analytic apporach to extract rules for its knowledge model.Methods: We implemented factor analysis method and decision tree method of C.45 to produce rules of the impact course of the sub- majors and the job interest as the basic rules of the DSS.Results: The proposed academic decision support system able to give sub majors recommendations in accordance with student interest and competence, with 79.03% of precision and 61.11% of recall. Moreover, the system also has a dashboard feature that shows the information about the statistic of students in each sub majors.Conclusion: C.45 algorithm and factor analysis are suitable to build a knowledge model for Academic Decision Support System for Choosing Information System Sub Majors Bachelor Programs. This system could also help the academic adviser on monitoring and make decision accordance with that academic information

Decision Support System for Classification of Early Childhood Diseases Using Principal Component Analysis and K-Nearest Neighbors Classifier Damar Dananjaya; Indah Werdiningsih; Rini Semiati
Journal of Information Systems Engineering and Business Intelligence Vol. 5 No. 1 (2019): April
Publisher : Universitas Airlangga

Background: Data on early childhood disease collected in clinics has accumulated into big data. Those data can be used for classification of early childhood diseases to help medical staff in diagnosing diseases that attack early childhoods.Objective: This study aims to apply Principal Component Analysis (PCA) and K-Nearest Neighbor (K-NN) Classifier for the classification of early childhood diseases.Methods: Data analysis was performed using PCA to obtain variables that had a major influence on the classification of early childhood diseases. PCA was done by observing the correlation between variables and eliminating variables that have little influence on classification. Furthermore, data on early childhood disease was classified using the K-Nearest Neighbor Classifier method.Results: The results of system evaluation using 150 test data indicated that the classification system by applying PCA and KNN Classifier had an accuracy value of 86%.Conclusion: PCA can be used to reduce the number of variables involved so that it can improve system performance in terms of efficiency. In addition, the application of PCA and KNN can also improve accuracy in the classification of early childhood diseases.

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