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Topic Modelling Using VSM-LDA For Document Summarization Luthfi Atikah; Novrindah Alvi Hasanah; Agus Zainal Arifin
ULTIMATICS Vol 14 No 2 (2022): Ultimatics : Jurnal Teknik Informatika
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/ti.v14i2.2854

Abstract

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 by LDA. The results of the proposed topic modeling method on the 1300 Twitter data resulted in the highest coherence value reaching 0.72. The summary results obtained Rouge 1 is 0.78, Rouge 2 is 0.67 dan Rouge L is 0.80.
Implementation of a Web-Based Goods Delivery Service System Using the Waterfall Method Novrindah Alvi Hasanah; Luthfi Atikah
Journal of Applied Informatics Research Vol. 1 No. 2 (2025): December
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jair.v1i2.50102

Abstract

The development of information technology is driving changes in people's transaction patterns, particularly in online buying and selling activities. However, not all consumer needs can be met through available e-commerce platforms, especially for certain products that are limited or not always available. Therefore, consignment services have become a popular alternative solution. This study aims to implement a web-based consignment service system that can facilitate the ordering process, product data management, and transactions between customers and service providers in a structured and efficient manner. The system development method used is the Waterfall method, which consists of the stages of needs analysis, system design, implementation, testing, and maintenance. The system built has two main types of users, namely admin and customer, with different interfaces and access rights. The implementation results show that the system is able to support the online consignment service process, from product search, ordering, transaction management, to report presentation, thereby increasing the ease, speed, and accuracy of the web-based consignment service.