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All Journal Jurnal Media Infotama CESS (Journal of Computer Engineering, System and Science) JURNAL MEDIA INFORMATIKA BUDIDARMA JurTI (JURNAL TEKNOLOGI INFORMASI) JOURNAL OF SCIENCE AND SOCIAL RESEARCH GATOTKACA Journal (Teknik Sipil, Informatika, Mesin dan Arsitektur) Jurnal Multidisiplin Dehasen (MUDE) Jurnal Dehasen Untuk Negeri Jurnal Media Computer Science Digital Transformation Technology (Digitech) Jurnal Dehasen Mengabdi Jurnal Karya Nyata Pengabdian Jurnal Komputer, Informasi dan Teknologi
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Universitas Dehasen Bengkulu
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Journal : jurnal media computer science

 1 
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.
Decision Support System For Evaluating The Performance Of Medical Personnel At Klinik Pratama Alwid Baroqah Using Vikor Method Wahyu Al-Amar; Herlina Latipa Sari; Prahasti Prahasti
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.v5i1.8996

Abstract

Klinik Pratama Alwid Baroqah is one of the health clinics located in Bengkulu City. Until now, the evaluation of medical staff performance has not been systematic, making it difficult for the management of Klinik Pratama Alwid Baroqah to make appropriate decisions regarding recommendations for contract extensions, termination of employment, or employment relationships. The Decision Support System for Evaluating the Performance of Medical Staff at Klinik Pratama Alwid Baroqah using Vikor Method can serve as an alternative in decision-making for evaluating the performance of medical staff at the clinic and can assist in providing performance evaluations of medical staff at the clinic, thereby making the evaluation process more structured and systematic. This Decision Support System was developed using Visual Basic Net programming language with SQL Server database. From the test data used, involving 10 medical staff during the evaluation period from July to December 2023, the results showed that with a Vikor index value range of 0.000–0.750, 8 medical staff had their employment contracts extended, while with a Vikor index value range of 0.917–1.000, 2 medical staff did not have their employment contracts extended. Based on the system testing conducted, it can be concluded that the decision support system application for evaluating the performance of medical staff at the Klinik Pratama Alwid Baroqah has been functioning well and successfully implemented Vikor method on the performance evaluation data of medical staff according to the evaluation period and year, and displayed recommendation results for decision-making regarding each medical staff member.
Implementation Of The SAW Method In A Decision Support System To Determine The Best-Selling Products At Kz Allshop Lidia Nur Hafiza; Hari Aspriyono; Prahasti Prahasti
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.v5i1.9021

Abstract

The rapid development of the business world requires quick and precise decisions in determining the best-selling products to increase sales. KZ Allshop faces challenges in determining which products have the highest demand and should get more attention. For this reason, this research aims to implement the Simple Additive Weighting (SAW) method in a decision support system (SPK) to help determine the best-selling products. SAW method was chosen for its ability to give weights to various relevant criteria, such as price, quality, and number of sales. This research collects data from various products available in the store and calculates the preference value of each product based on predetermined criteria. The implementation results show that SAW method can effectively identify the best-selling products, which helps management in making more objective and data-driven decisions. Thus, the use of SAW method in this decision support system can be an effective solution in improving the efficiency of product management at KZ Allshop.
A Decision Support System In Determining The Admission Of New Student To TJKT Vocational Program At SMK Negeri 3 Bengkulu City Using SAW Method Wijaya Anugerah Kusuma; Indra Kanedi; Prahasti Prahasti
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.v5i1.10156

Abstract

The admissions of New student are an important process that determines the quality of students at a school. Until now, the selection process for prospective students at SMK Negeri 3 Bengkulu City, particularly in the Computer Network and Telecommunications Engineering (TJKT) program, has been carried out manually, which is time-consuming and prone to subjectivity in decision-making. To overcome this, this study aims to develop a Decision Support System (DSS) for new student admissions using Simple Additive Weighting (SAW) method, which can help schools determine eligible prospective students more quickly, accurately, and objectively. This system was developed using PHP programming language with MySQL database and tested using the black box method to ensure that all functions ran as required. The results of testing 15 prospective new student data for the 2025/2026 academic year showed that the system was able to display the calculation results automatically and provide recommendations on eligibility for admission. From this test, 7 prospective students were accepted and 8 prospective students were not accepted..
Co-Authors Aditya Dwi Kurniawan Agung Aprianto Agung Pradana Iskandar Ahmad Asyhari Artha Dwika Santosa Asnawati Asnawati Desi Mahdalena Deti Karmanita Devi Sartika Dewi Harwini Eko Suryana Ferdynan Mashaq Feri Hari Feri Feri Hari Utami Feri Ramadiansyah Haluan Saputra Andalah Hari Aspriyono Helvi Ramadhanti Rossa Herlina Latipa Sari Herlina Latipa Sari Jusuf Wahyudi Kanedi, Indra Kanedi Karona Cahya Susena Leni Natalia Zulita Lidia Nur Hafiza Liza Yulianti Mardiansa Mardiansa Maria Agustina Br.Nambela Maryaningsih Maryaningsih Mirnawati Mirnawati Muhammad Bendy Muhammad Sihab Nofi Qurniati Ockhy Jey Fhiter Wassalam Ofta Prastiyo Apriansyah Panji Dwi Atmojo Rahmad Arfandi Ricky Zulfiandri Sallaby, Achmad Fikri Sapri Sapri Sayka Damayanti Shely Priselia Deyanti Sriyanto Sriyanto Toibah Umi Kalsum Tri Ramadani Venny Novita Sari Victor Yonathan Gultom Wahyu Al-Amar Wijaya Anugerah Kusuma Yessi Mardiana Yupianti, Yupianti