Papers by Novrindah Alvi Hasanah
Register: jurnal ilmiah teknologi sistem informasi, Feb 16, 2021
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Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), Jun 19, 2021
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The intense competition between e-Commerce makes every e-Commerce has a way to be able to compete... more The intense competition between e-Commerce makes every e-Commerce has a way to be able to compete in the market, one of which is to improve the quality of e-Commerce websites. Therefore, research is needed to find out the quality of the web with the buyer’s intention on the E-commerce web by evaluating it. There are various standard software evaluation models used such as ISO / IEC 25010. This paper, the ISO/IEC 25010 to assess the functional suitability of various Indonesian e-Commerce websites, namely Wadezig!, Screamous, 347 Clothing, Thanksinsomnia and Bloods, which were determined through Bukalapak customer reviews. Functional suitability has three calculated attributes, namely completeness, correctness, and appropriateness. From the measurements that have been made, the functional suitability can help e-Commerce websites to improve the quality of their website, especially in terms of functional suitability so as to provide comfort and good service to customers. This evaluation can also be used as a reference for developing e-Commerce websites to be better.
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Ultimatics : Jurnal Teknik Informatika
Summarization is a process to simplify the contents of a document by eliminating elements that ar... more Summarization is a process to simplify the contents of a document by eliminating elements that are considered unimportant but do not reduce the core meaning the document wants to convey. However, as is known, a document will contain more than one topic. So it is necessary to identify the topic so that the summarization process is more effective. Latent Dirichlet Allocation (LDA) is a commonly used method of identifying topics. However, when running a program on a different dataset, LDA experiences "order effects", that is, the resulting topic will be different if the train data sequence is changed. In the same document input, LDA will provide inconsistent topics resulting in low coherence values. Therefore, this paper proposes a topic modelling method using a combination of LDA and VSM (Vector Space Model) for automatic summarization. The proposed method can overcome order effects and identify document topics that are calculated based on the TF-IDF weight on VSM generated ...
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2020 7th International Conference on Information Technology, Computer, and Electrical Engineering (ICITACEE), 2020
The intense competition between e-Commerce makes every e-Commerce has a way to be able to compete... more The intense competition between e-Commerce makes every e-Commerce has a way to be able to compete in the market, one of which is to improve the quality of e-Commerce websites. Therefore, research is needed to find out the quality of the web with the buyer’s intention on the E-commerce web by evaluating it. There are various standard software evaluation models used such as ISO / IEC 25010. This paper, the ISO/IEC 25010 to assess the functional suitability of various Indonesian e-Commerce websites, namely Wadezig!, Screamous, 347 Clothing, Thanksinsomnia and Bloods, which were determined through Bukalapak customer reviews. Functional suitability has three calculated attributes, namely completeness, correctness, and appropriateness. From the measurements that have been made, the functional suitability can help e-Commerce websites to improve the quality of their website, especially in terms of functional suitability so as to provide comfort and good service to customers. This evaluation can also be used as a reference for developing e-Commerce websites to be better.
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Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), 2021
Undergraduate thesis as the final project, or in Indonesian called as Tugas Akhir, for each under... more Undergraduate thesis as the final project, or in Indonesian called as Tugas Akhir, for each undergraduate student is a pre-requisite before student graduation and the successfulness in finishing the project becomes as one of learning outcomes among others. Determining the topic of the final project according to the ability of students is an important thing. One strategy to decide the topic is reading some literatures but it takes up more time. There is a need for a recommendation system to help students in determining the topic according to their abilities or subject understanding which is based on their academic transcripts. This study focused on a system for final project topic recommendations based on evaluating competencies in previous academic transcripts of graduated students. Collected data of previous final projects, namely titles and abstracts weighted by term occurences of TF-IDF (term frequency–inverse document frequency) and grouped by using K-Means Clustering. From each...
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2020 International Seminar on Application for Technology of Information and Communication (iSemantic), 2020
Combining games with learning methods are the most effective way to increase learning motivation,... more Combining games with learning methods are the most effective way to increase learning motivation, ratification, concentration, and student skills in understanding and solving problems. One of the most popular games is Sudoku. Traditional methods that have used to solve problems in the Sudoku game show a fairly complex solution. So, a good method for solving these problems is needed such as Ant Colony Optimization, which can be used for path searching. This research uses Ant Colony Optimization as a method to find the best path effectively and efficiently to complete the game. Test results used as a benchmark for the Ant Colony Optimization method are better at completing the game by compiling it with traditional methods such as Backtracking. The result of this research shows that Ant Colony Optimization has better performance than Backtracking algorithm. It was proven by 75 trials conducted at three levels of the game resulting in 67 trials (89%) showing Ant Colony Optimization completing the game faster than Backtracking Algorithm.
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Register: Jurnal Ilmiah Teknologi Sistem Informasi, 2021
The COVID-19 pandemic has various impacts on changing people’s behavior socially and individually... more The COVID-19 pandemic has various impacts on changing people’s behavior socially and individually. This study identifies the Degree-of-Concern topic of COVID-19 through citizen conversations on Twitter. It aims to help related parties make policies for developing appropriate emergency response strategies in dealing with changes in people’s behavior due to the pandemic. The object of research is 12,000 data from verified Twitter accounts in Surabaya. The varied nature of Twitter needs to be classified to address specific COVID-19 topics. The first stage of classification is to separate Twitter data into COVID-19 and non-COVID-19. The second stage is to classify the COVID-19 data into seven classes: warnings and suggestions, notification of information, donations, emotional support, seeking help, criticism, and hoaxes. Classification is carried out using a combination of word embedding (Word2Vec and fastText) and deep learning methods (CNN, RNN, and LSTM). The trial was carried out wi...
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2020 International Seminar on Application for Technology of Information and Communication (iSemantic), 2020
Nowadays, many methods have been applied for brain segmentation on MRI data. This paper proposes ... more Nowadays, many methods have been applied for brain segmentation on MRI data. This paper proposes a new method for brain segmentation using Adaptive Thresholding, K-Means Clustering, and Morphological Mathematics in MRI data. The adaptive threshold was chosen because the adaptive threshold method will vary across images to suit various lighting conditions and background changes. We segment the corpus callosum. This experiment shows that with the Adaptive Thresholding, K-Means Clustering, and Mathematical Morphology to segment the corpus callosum produces the highest Dice Similarity Coefficient (DSC) value of 0.757.
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Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), 2021
Monitoring public concern in the surrounding environment to certain events is done to address cha... more Monitoring public concern in the surrounding environment to certain events is done to address changes in public behavior individually and socially. The results of monitoring public attention can be used as a benchmark for related parties in making the right policies and strategies to deal with changes in public behavior as a result of the COVID-19 pandemic. Monitoring public attention can be done using Twitter social media data because the users of the media are quite high, so that they can represent the aspirations of the general public. However, Twitter data contains varied topics, so a classification process is required to obtain data related to COVID-19. Classification is done by using word embedding variations (Word2Vec and fastText) and deep learning variations (CNN, RNN, and LSTM) to get the classification results with the best accuracy. The percentage of COVID-19 data based on the best accuracy is calculated to determine how high the public's attention is to the COVID-19...
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Papers by Novrindah Alvi Hasanah