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All Journal JIKO (Jurnal Informatika dan Komputer) Journal of Information Systems and Informatics
Luthfan Hadi Pramono
Teknik Informatika STMIK AKAKOM
Computer Science & IT

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PENGARUH STEMMING TERHADAP EKSTRAKSI TOPIK MENGGUNAKAN METODE TF*IDF*DF PADA APLIKASI PDS Luthfan Hadi Pramono; Cuk Subiyantoro
JURNAL INFORMATIKA DAN KOMPUTER Vol 2, No 1 (2017): FEBRUARI - AGUSTUS 2017
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat - Universitas Teknologi Digital Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (711.523 KB) | DOI: 10.26798/jiko.v2i1.57

Abstract

Personal Digital Secretary (PDS) is a system that was developed to be a "personal secretary" who work alongside users digitally. PDS convey information to users in the form of email, social media and news. In order to know the information and news from the outside, it must be done by extracting user topics through email and social media, with the result that news information will have corresponding relationships with users. User topic extraction through email and social media in PDS is using modified weighting method in TF*IDF algorithm named TF*IDF*DF. In the further development, added stemming process in hopes of obtaining an appropriate topic. From the research that has been done, there are differences in terms obtained from the topic extraction without addition stemming process and with addition of stemming process. News information obtained by the addition of stemming process has more focused results than the news information obtained from the topics extraction without additional stemming process. With the addition of stemming process on the TF*IDF*DF algorithm indicates that the word (terms) results obtained from the extraction process has become the basic words because of stemming process. These Basic words are the basic form that an indication of a topicKeywords: User topic, topic extraction, TF*IDF, topic model, fiture selection.
PENGARUH STEMMING TERHADAP EKSTRAKSI TOPIK MENGGUNAKAN METODE TF*IDF*DF PADA APLIKASI PDS Luthfan Hadi Pramono; Cuk Subiantoro
JURNAL INFORMATIKA DAN KOMPUTER Vol 2, No 1 (2017): FEBRUARI - AGUSTUS 2017
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat - Universitas Teknologi Digital Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (711.523 KB) | DOI: 10.26798/jiko.v2i1.49

Abstract

Personal Digital Secretary (PDS) is a system that was developed to be a "personal secretary" who work alongside users digitally. PDS convey information to users in the form of email, social media and news. In order to know the information and news from the outside, it must be done by extracting user topics through email and social media, with the result that news information will have corresponding relationships with users. User topic extraction through email and social media in PDS is using modified weighting method in TF*IDF algorithm named TF*IDF*DF. In the further development, added stemming process in hopes of obtaining an appropriate topic. From the research that has been done, there are differences in terms obtained from the topic extraction without addition stemming process and with addition of stemming process. News information obtained by the addition of stemming process has more focused results than the news information obtained from the topics extraction without additional stemming process. With the addition of stemming process on the TF*IDF*DF algorithm indicates that the word (terms) results obtained from the extraction process has become the basic words because of stemming process. These Basic words are the basic form that an indication of a topicKeywords: User topic, topic extraction, TF*IDF, topic model, fiture selection.
User Experience in Cloud Computing Services-Based LMS: a Case Study Pramono, Luthfan Hadi
Journal of Information System and Informatics Vol 5 No 4 (2023): Journal of Information Systems and Informatics
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v5i4.600

Abstract

This research explores user experiences with Learning Management Systems (LMS) in the context of online education, focusing on the Google Classroom application. Conducted at SDIT Salsabila 4 Jetis, Indonesia, the study navigates challenges faced during the transition to remote learning, particularly amid the COVID-19 pandemic. Evaluating features such as media upload, assignment scheduling, quizzes, and grading, the research identifies key areas of user engagement that require optimization. Effective teacher-student communication emerged as pivotal, underlining the need for tailored training programs to enhance teachers' proficiency with LMS features. Network stability also significantly influenced user experience. The study's insights emphasize the LMS's potential as a powerful educational tool and highlight specific areas for improvement. Recommendations include broader data collection across institutions, facilitating a nuanced understanding of LMS adoption curves. Moreover, targeted training initiatives are crucial, ensuring educators' comprehensive grasp of LMS functionalities. These findings provide a foundational framework for refining online education practices, promoting a more seamless and effective learning environment for educators and students alike.
Co-Authors Cuk Subiantoro Cuk Subiyantoro