Article Per Year (5 Year)
p-Index From 2020 - 2025
0.659
P-Index
This Author published in this journals
All Journal Jurnal Teknik Elektro Jurnal Media Informatika Jurnal Ilmiah MEA (Manajemen, Ekonomi, dan Akuntansi)
Candra, Kevin
Unknown Affiliation
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search

 1 
Pengendalian Tegangan Keluaran DC-DC Boost Converter Tipe Voltage Doubler Menggunakan Mikrokontroler STM32F1038CT Candra, Kevin; Pratomo, Leonardus Heru
Jurnal Teknik Elektro Vol 12, No 2 (2020): Jurnal Teknik Elektro
Publisher : Jurusan Teknik Elektro, Fakultas Teknik, Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jte.v12i2.25662

Abstract

Five-level inverter is widely used in many industrial applications, for example as a three-phase electric motor drive, PLTS, etc. This inverter works using two separated DC voltage sources in order to form different voltage level. Five-level inverter using one DC voltage source will be more efficient. A DC-DC boost converter on Voltage Doubler type is used in order to solve the problem. The focus of this research is on controlling the DC-DC boost converter on Voltage Doubler type. The switch control method uses a shifted pulse width modulation of 1800. To get a suitable output voltage, an output voltage control system is applied. A proportional and integral type control is implemented using STM32F1038CT microcontroller.  The output voltage controlled DC-DC boost converter is validated through computational simulation with Power Simulator software and as the final step will be implemented on hardware in the laboratory. Based on the simulation and implementation, Voltage-Doubler type of DC-DC boost converter is able to produce the required output voltage, which is two times greater than the conventional DC-DC boost converter output voltage.
Perbandingan Metode Support Vector Machine (SVM) Dan Naive Bayes Pada Analisis Sentimen Ulasan Aplikasi OVO Lowell, Alvis; Lowell, Audric; Candra, Kevin; Indra, Evta
Jurnal Media Informatika Vol. 6 No. 2 (2025): Jurnal Media Informatika
Publisher : Lembaga Dongan Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55338/jumin.v6i2.5134

Abstract

In the rapidly evolving digital era, sentiment analysis has become crucial for understanding diverse user opinions. However, there is a gap in comparative studies on the effectiveness of machine learning methods for sentiment analysis of e-wallet applications in Indonesia. This research aims to compare the performance of Support Vector Machine (SVM) and Naive Bayes methods in sentiment analysis of user reviews for the OVO application, sourced from the Google Play Store. A total of 3,000 reviews were collected and processed through text preprocessing stages, including data cleaning, case folding, stopword removal, tokenizing, and stemming. Sentiment labeling was performed automatically using the VADER method, resulting in three categories: positive, neutral, and negative. The data was then transformed into numerical format using TF-IDF before being applied to the SVM and Naive Bayes models. Model performance was evaluated using a confusion matrix with metrics such as accuracy, precision, recall, and F1-score. The results showed that the SVM method delivered better outcomes with an accuracy of 89%, precision of 89%, recall of 89%, and F1-score of 88%, compared to the Naïve Bayes method, which achieved an accuracy of 86%, precision of 88%, recall of 86%, and F1-score of 87%. These findings can serve as a reference in selecting machine learning methods for sentiment analysis of e-wallet applications and assist OVO in improving service quality based on user feedback.
PENGARUH HARGA, PROMOSI DAN KUALITAS PELAYANAN TERHADAP VOLUME PENJUALAN DAN KEPUASAN KONSUMEN SEBAGAI VARIABEL MODERASI PADA PT OCEAN CENTRA FURNINDO Candra, Kevin; Siregar, Riris Mangerbang; Candra, David; Yonatan, Yonatan; Ramadani, Apriansyah
Jurnal Ilmiah Manajemen, Ekonomi, & Akuntansi (MEA) Vol 8 No 1 (2024): Edisi Januari - April 2024
Publisher : LPPM STIE Muhammadiah Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31955/mea.v8i1.3812

Abstract

Penelitian ini bertujuan untuk menguji dan menganalisis pengaruh harga, promosi dan kualitas pelayanan terhadap volume penjualan. Dari data keluhan konsumen menunjukkan bahwa masih konsisten terjadi keluhan pada setiap bulannya. Pada volume penjualan di perusahaan juga terlihat bahwa perusahaan mengalami penurunan penjualan. Harga yang kompetitif dapat menarik perhatian konsumen dan meningkatkan daya saing perusahaan di pasar. Promosi merupakan strategi pemasaran yang dapat digunakan untuk meningkatkan kesadaran konsumen tentang produk springbed dari PT Ocean Centra Furnindo. Pelayanan yang baik mencakup respons yang cepat terhadap pertanyaan dan keluhan konsumen, keterampilan dan keramahan karyawan dalam memberikan informasi tentang produk, serta kualitas layanan purna jual yang memuaskan. Penelitian ini menggunakan metode penelitian kuantitatif dengan sampel yang digunakan adalah 110 orang dengan simple random sampling. Metode analisis yang diterapkan adalah analisis statistik deskriptif, uji normalitas, uji multikolinearitas, uji heteroskedastisitas, regresi linier berganda, uji parsial, uji simultan, dan koefisien determinasi. Pada hasil penelitian menunjukkan bahwa variabel harga, promosi dan kualitas pelayanan secara parsial dan simultan berpengaruh positif dan signifikan terhadap volume penjualan. Pada volume penjualan berpengaruh positif dan signifikan terhadap kepuasan konsumen
Co-Authors Candra, David Indra, Evta Leonardus Heru Pratomo Lowell, Alvis Lowell, Audric Ramadani, Apriansyah Siregar, Riris Mangerbang Yonatan, Yonatan