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All Journal Jurnal Media Infotama Pedagogik Journal of Islamic Elementary School JOURNAL OF SCIENCE AND SOCIAL RESEARCH SINTA Journal (Science, Technology, and Agricultural) MAHESA : Malahayati Health Student Journal Jurnal Dehasen Untuk Negeri Jurnal Media Computer Science Jurnal Dehasen Mengabdi Jurnal Inovasi Kerja Nyata (JIKN)
Ahmad Asyhari
Universitas Dehasen Bengkulu
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Journal : jurnal media computer science

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Application Of The Term Frequency-Inverse Document Frequency (TF-IDF)-Based Support Vector Machine (SVM) Method For Sentiment Classification Of Customer Reviews On My Lova Bengkulu Muhammad Sihab; Prahasti Prahasti; Ahmad Asyhari
Jurnal Media Computer Science Vol 5 No 3 (2026): Juli
Publisher : LPPJPHKI Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmcs.v5i3.11981

Abstract

This study aims to apply a Term Frequency-Inverse Document Frequency (TF-IDF)-based Support Vector Machine (SVM) method for sentiment classification of My Lova Bengkulu customer reviews. The research data consisted of 109 reviews obtained from Google Reviews, which were then subjected to a preprocessing process involving cleaning and stemming. Next, weighting was performed using TF-IDF, and classification was carried out using the SVM algorithm. The results showed that 93 reviews (85.32%) were positive, while 16 reviews (14.68%) were negative. The model achieved an Accuracy of 81.82%, Precision of 81.80%, Recall of 100%, and an F1-Score of 90.00%. These results demonstrate that the TF-IDF-based SVM method is capable of effectively classifying customer sentiment.
The Implementation of Mobile Application for Queue Management and Customer Service at Babe Barbershop Using Agile Method Musa Alhadi Pulungan; Devi Sartika; Ahmad Asyhari
Jurnal Media Computer Science Vol 5 No 1 (2026): Januari
Publisher : LPPJPHKI Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmcs.v5i1.10153

Abstract

Babe Barbershop faced manual queuing problems that affected schedule irregularities and customer comfort. This research aims to design and implement a more efficient and structured mobile application for queue management and customer service. Development was carried out at Babe Barbershop (Bengkulu) from February to June 2025 using Agile method with iterative stages from planning to launch, in order to easily adapt to changing needs. The application was developed with Vue.js and Firebase stack; key features include registration/login, service booking with barber and time slot selection, attendance confirmation, walk-in input, barber dashboard, and a public queue page for transparency. Black-box testing showed that all functions worked well according to the scenario: bookings were saved and had a BOOKED status, cancellations updated the status, “Already Present” changed the status and barber queue, and application navigation was smooth without errors. These results confirm that the application supports operational efficiency, reduces waiting times, and improves the service experience at Babe Barbershop..
Co-Authors Antoni Tsaputra Arif, Hilda Meisya Asnawati Asnawati Devi Sartika Diah Azhari Diva Parera Elsa Efrina Fahrul Ikram Nizar Ferdianto Felino Gita Dahlia Lestari Herlinda Jumadi, Juju Jusuf Wahyudi Karona Cahya Susena Khairil Khairil Kharien Eka Putri M. Sihab Marlina Marlina Mayzan Dwi Yusandi Muhamad Bitang Firdaus Muhammad Heri Saputra Muhammad Sihab Musa Alhadi Pulungan Nizar, Fahrul Ikhram Prahasti Putri Maretta Gultom Retni Ardiana Rika Hayati Rila Muspita Riska Ayuni Saputri Rizka Tri Alinse Sella Syaputri Selvianti, Dita Tiara Desri Meisena Ummul Khaira Aziz Wahyu Hidayat Yance Pransiska