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Evaluation and Design of User Interface / User Experience on the INMAX Property Website Using the Double Diamond Model Laksono, Bagus; Sagirani, Tri; Wardhanie, Ayouvi Poerna
Jurnal Sistem Informasi dan Komputerisasi Akuntansi (JSIKA) Vol 10, No 1 (2021)
Publisher : Jurnal Sistem Informasi Universitas Dinamika (JSIKA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1405.909 KB)

Abstract

PT Inmaksindo Infiniti Graha is a real estate company in Surabaya and has a website, namely https://www.inmaxproperty.com. The website is used for the process of buying and renting property, users of the INMAX Property website are people who are looking for property to buy or rent. The problem is when users who want to buy property access the website there are several problems, such as inadequate information, there is a lack of filters in the search feature, no login and register features, and no agent scheduling and indent property features. From these problems, evaluation is carried out using the Heuristic Evaluation method consisting of 10 principles, namely Visibility of system status, Match between system and the real world, User control and freedom, Consistency and standards, Error prevention, Recognition rather than recall, Flexibility and efficiency of use, Aesthetic and minimalist design, help users recognize, diagnose, and recover from errors, Help and documentation. Based on the results of the evaluation, it was found that there were improvements in the indicators of Consistency and Standards, Flexibility and Efficiency of Use, and Help and Documentation. Therefore, a redesign was carried out with the Double Diamond model with the steps Discover, Define, Develop and Deliver. Based on the results of the redesign that have been evaluated, it is found that the display indicator of the KPR simulation on the principle of Consistency and Standards which was previously 1.90 (respondents disagreed) after the redesign increased to 2.73 (respondents agreed). Meanwhile, the Email Agent button is available to discuss the property on the principle of Flexibility and Efficiency of Use before redesigning the mean is 2.43 (respondents disagree) after redesign it increases to a mean of 3.03 (respondents agree). Whereas in the indicator there is a contact us feature to make it easier for users who want to ask about the desired property in the Help and Documentation principle before redesigning the mean 2.47 (respondents disagree) after redesign it increases to mean 3.30 (respondents agree). For other principles, there is no need for improvement because the respondent agrees with the existing design.
Evaluation and Design of User Interface / User Experience on the INMAX Property Website Using the Double Diamond Model Laksono, Bagus; Sagirani, Tri; Wardhanie, Ayouvi Poerna
Jurnal Sistem Informasi dan Komputerisasi Akuntansi (JSIKA) Vol 10, No 1 (2021)
Publisher : Jurnal Sistem Informasi Universitas Dinamika

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

PT Inmaksindo Infiniti Graha is a real estate company in Surabaya and has a website, namely https://www.inmaxproperty.com. The website is used for the process of buying and renting property, users of the INMAX Property website are people who are looking for property to buy or rent. The problem is when users who want to buy property access the website there are several problems, such as inadequate information, there is a lack of filters in the search feature, no login and register features, and no agent scheduling and indent property features. From these problems, evaluation is carried out using the Heuristic Evaluation method consisting of 10 principles, namely Visibility of system status, Match between system and the real world, User control and freedom, Consistency and standards, Error prevention, Recognition rather than recall, Flexibility and efficiency of use, Aesthetic and minimalist design, help users recognize, diagnose, and recover from errors, Help and documentation. Based on the results of the evaluation, it was found that there were improvements in the indicators of Consistency and Standards, Flexibility and Efficiency of Use, and Help and Documentation. Therefore, a redesign was carried out with the Double Diamond model with the steps Discover, Define, Develop and Deliver. Based on the results of the redesign that have been evaluated, it is found that the display indicator of the KPR simulation on the principle of Consistency and Standards which was previously 1.90 (respondents disagreed) after the redesign increased to 2.73 (respondents agreed). Meanwhile, the Email Agent button is available to discuss the property on the principle of Flexibility and Efficiency of Use before redesigning the mean is 2.43 (respondents disagree) after redesign it increases to a mean of 3.03 (respondents agree). Whereas in the indicator there is a contact us feature to make it easier for users who want to ask about the desired property in the Help and Documentation principle before redesigning the mean 2.47 (respondents disagree) after redesign it increases to mean 3.30 (respondents agree). For other principles, there is no need for improvement because the respondent agrees with the existing design.
Integration of SMOTE and Ensemble Models for Predicting Airline Passenger Satisfaction Laksono, Bagus; Kurniawati, Ika; Sriwiyanta, Aditya Budi; Zaenudin, Zen Zen; Ramadha, Johan Afrian; Alfian, Desri
Innovation in Research of Informatics (Innovatics) Vol 7, No 1 (2025): March 2025
Publisher : Department of Informatics, Siliwangi University, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37058/innovatics.v7i1.14001

Abstract

The high public interest in air transportation has become a polemic for airline companies that are competing to maintain their existence by continuously improving their services. The passenger satisfaction survey data collected has several problems such as unbalanced data, missing values, noise, difficulty finding significant patterns and biased data. Imbalanced class causes the classification results to lean more towards the majority class, this can reduce the performance of the prediction model. SMOTE is one of the over-sampling methods to balance the dataset by increasing the number of samples in the minority class based on k-nearest neighbors to approach the same class. Boosting is a machine learning strategy that combines many very fragile and poor prediction rules to produce very accurate prediction rules. In this study, we conducted a model experiment by integrating the SMOTE and AdaBoost ensembles with the classification algorithm to obtain the best performance metrics. The results showed that the performance of integrating the DT + SMOTE and DT + SMOTE + AdaBoost models produced an accuracy of 91.88%, this performance is superior to the traditional DT model. Significant performance improvements also occur in the integration of NB+SMOTE+AdaBoost and NB+AdaBoost, which is an increase of around 5% compared to NB. However, the application of SMOTE to NB decreases accuracy because SMOTE produces synthetic samples that can disrupt the independence assumption of NB. The results of this study demonstrate the superiority of our proposed method, a robust ensemble learning compared to traditional machine learning classifiers. Both techniques are very efficient in improving classification capabilities, especially in cases of complex and imbalanced data. AdaBoost, Customer satisfaction prediction, Data mining, Ensemble learning, Imbalanced data, SMOTE.