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Komparasi Algoritma SVM dan Random Forest Dalam Sentimen Analisis Review Shopee di Google Play Store Dengan Anova
Eko Susanto
; Sharipuddin Sharipuddin
; Benni Purnama
Prosiding Seminar Nasional Ilmu Teknik
Vol 2
, No 2
(2026)
The rapid growth of e-commerce in Indonesia, particularly the Shopee platform, has generated a large volume of user reviews on the Google Play Store, which can be analyzed to understand consumer sentiment. This study aims to compare the performance of the Support Vector Machine (SVM) and Random Forest (RF) algorithms in binary sentiment classification (positive and negative) on Shopee reviews, as well as to statistically test the significance of their differences using One-Way ANOVA. A total of...
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Penerapan Algoritma K-Means Untuk Klasterisasi Balita Rentan Stunting dan Wasting Berdasarkan Indikator Antropometri
Rizky Khairun’nisa
; Benni Purnama
; Sharipuddin Sharipuddin
Prosiding Seminar Nasional Ilmu Teknik
Vol 2
, No 2
(2025)
Stunting and wasting are nutritional problems in toddlers that remain a double burden of malnutrition in Indonesia and have an impact on the quality of health and future human resource development. Monitoring the nutritional status of toddlers is generally carried out using anthropometric indicators, but the use of this data is still limited to descriptive analysis. This study aims to apply the K-Means algorithm in clustering infants vulnerable to stunting and wasting based on anthropometric ind...
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Analisis Kepuasan Pengguna Aplikasi VSCO di Kota Jambi dengan Menggunakan Metode EUCS
Fitria, Choryn
; Benni Purnama
; Suyanti Suyanti
; Dwi Junita
Prosiding Seminar Nasional Ilmu Teknik
Vol 2
, No 2
(2025)
The use of the VSCO application continues to face technical issues, including errors during editing, limited feature access, and login problems that affect user satisfaction. This study analyzes user satisfaction with the VSCO application using the End User Computing Satisfaction (EUCS) method. The study involved 385 VSCO users as respondents, with data collected through questionnaires and analyzed using SmartPLS 3.0. In this research, Accuracy variable does not affect user satisfaction, whereas...
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Analisis Kelayakan Pemberian Kredit dengan Algoritma Naïve Bayes untuk Antisipasi Risiko Kredit Bermasalah Pada BPR Ukabima Lestari Cabang Jambi
Anggi Saputra
; Setiawan Assegaff
; Benni Purnama
Prosiding Seminar Nasional Ilmu Teknik
Vol 2
, No 2
(2025)
This study analyzes creditworthiness assessment and predicts non-performing loan (NPL) risk using the Naïve Bayes algorithm at BPR Ukabima Lestari, Jambi Branch. A quantitative data mining approach with probabilistic classification is applied. The dataset includes borrower attributes such as age, occupation, income, loan amount, tenor, collateral, and repayment history. Research stages comprise data preprocessing, model development, and performance evaluation using accuracy, precision, recall, a...
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Analisis Kepuasan Pengguna Aplikasi WPS Office Menggunakan Metode End User Computing Satisfaction (EUCS)
Fournia Nova
; Setiawan Assegaff
; Benni Purnama
Prosiding Seminar Nasional Ilmu Teknik
Vol 2
, No 2
(2025)
WPS Office stands for Writer, Presentation, and Spreadsheets—a software suite offering diverse office functions, including document processing, spreadsheet creation, and presentation tools. This study analyzes user satisfaction levels and the influence of the variables Content, Accuracy, Format, Ease of Use, and Timeliness on WPS Office application users in Jambi City, using the End User Computing Satisfaction method. Data were gathered through an online questionnaire distributed to students in...
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