Article Per Year (5 Year)
p-Index From 2021 - 2026
1.633
P-Index
This Author published in this journals
All Journal Jurnal Online Mahasiswa (JOM) Bidang Perikanan dan Ilmu Kelautan Journal of Civil Engineering Jurnal Sistem Informasi Prosiding University Research Colloquium Jurnal Riset Rumpun Ilmu Teknik (JURRITEK) LEGALITAS : Jurnal Ilmiah Ilmu Hukum Saturnus: Jurnal Teknologi dan Sistem Informasi
Imron Imron
Unknown Affiliation
Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Earth & Planetary Sciences Engineering Environmental Science Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mechanical Engineering Medicine & Pharmacology Transportation

Published : 13 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 13 Documents
Search

 1   2 
Analisis Sentimen Aplikasi Liputan6.Com pada Ulasan Pengguna di Google Playstore dengan Menggunakan Algoritma Support Vector Machine (Svm) dan Naïve Bayes Yayang Tika Robiatush Sholiha; Lubna Asjad Muhda Nabilah; Imron Imron
Saturnus: Jurnal Teknologi dan Sistem Informasi Vol. 3 No. 3 (2025): Juli: Saturnus: Jurnal Teknologi dan Sistem Informasi
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/saturnus.v3i3.867

Abstract

This study aims to evaluate user sentiment toward the Liputan6.com application available on the Google Play Store. In the digital era, user reviews serve as a significant indicator in assessing the quality of an application. However, the inconsistency between rating scores and review content renders manual analysis less objective. To address this issue, a machine learning approach was adopted by comparing two algorithms, namely Support Vector Machine (SVM) and Naïve Bayes (NB). A total of 2,500 reviews were collected through a web scraping process and automatically labeled based on the rating (positive if ≥ 3, negative if < 3). The data preprocessing stages included cleaning, case folding, tokenizing, stopword removal, and token filtering. Subsequently, word weighting was carried out using the TF-IDF method, followed by classification using 10-Fold Cross Validation in RapidMiner. The evaluation results indicate that, in the positive class, NB demonstrated superior precision (89.47%), whereas SVM achieved higher recall (98.94%) and F1-score (90.96%). In the negative class, SVM performed better in terms of precision (66.15%), while NB attained higher recall (65.65%) and F1-score (36.34%). Further evaluation based on AUC and accuracy positioned SVM in the good category (AUC 0.842; accuracy 83.82%), while NB was categorized as fail (AUC 0.505; accuracy 60.87%). Overall, SVM is considered to be more effective than NB.
Penerapan Bulding Information Modelling (BIM) Autodesk Revit dalam Pembuatan Bar Bending Schedule (BBS) Pondasi Pile Cap Proyek Apartemen Jkt Living Star - Jakarta Timur Muhamad Alimin; Imron Imron; Muhammad Taulani
JURAL RISET RUMPUN ILMU TEKNIK Vol. 2 No. 2 (2023): Oktober : Jurnal Riset Rumpun Ilmu Teknik
Publisher : Pusat riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jurritek.v2i2.1599

Abstract

Bar bending schedule is a systeem of bending patterns of reinforcement that includes data on diameter, shape, length and number of reinforcement. The purpose of this study is to obtain images of bar bending schedule documents, pile cap foundation iron volumes and find out whether Autodesk Revit software is more efficient and effective than conventional methods. This research uses quantitative methods and the manufacturing process uses the concept of Building Information Modeling (BIM) with autodesk revit software. The results showed that the use of Autodesk Revit software makes it more effective, especially in making bar bending schedule documents, because everything is made automatically. The volume of pile cap iron produced by Autodesk Revit software is 46,878 kg has a difference with the existing (conventional) volume. The volume result of autodesk revit software is less with a difference of 1.29%. This shows that Autodesk Revit software is more efficient in terms of calculating the volume of concrete iron.
NON-LINEAR SECTIONAL ANALYSIS OF REINFORCED CONCRETE COLUMN STRENGTHENED BY REINFORCED CONCRETE JACKETING WITH HIGH-STRENGTH STEEL Imron Imron; Bambang Piscesa; Achfas Zacoeb
Journal of Civil Engineering Vol. 37 No. 2 (2022)
Publisher : Institut Teknologi Sepuluh Nopember (ITS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j20861206.v37i2.7614

Abstract

This paper presents a nonlinear sectional analysis of reinforced concrete (RC) columns strengthened by RC jacketing, which also utilizes a high-strength reinforcing bar. A simple interface slip model was used to model the relationship between the old and the new concrete material. The initial axial load and bending moment are included in the analysis by introducing an initially prescribed strain before loading. The nonlinear sectional analysis was performed using an in-house MATLAB code utilizing the fiber-based method. The RC section was discretized with constant strain triangles (CST). The developed RC column model with jacketing was validated using the available test results in the literature. After the validation of the model was completed, the parametric study was carried out to gain an insight into the effect of using high strength reinforcing bar in the jacket structural element. The curvature and I10 ductility index were evaluated based on pure axial and constant axial loads with increased bending moment. From the validation of the model with the test result, the model predictions were satisfactorily showing a good fit, concluding that the developed MATLAB code can be used to evaluate RC columns strengthened with concrete jacketing. For the parametric study, the high strength reinforcing bar in RC column jacketing can increase the flexural, axial, and lateral load capacity but reduce the overall ductility. On the other hand, utilizing only high strength reinforcing bar for transverse reinforcement with tighter spacing resulted in higher ductility than if all the reinforcing bar was made from a high strength one.
Co-Authors Abdul Ghopur Achfas Zacoeb Ahmad Jaelani Bambang Piscesa Joko Samiaji Lailatul Mufida Laily Mardiyati Lubna Asjad Muhda Nabilah Maryam Jamilah Yanayirtika Miftakhuddin Miftakhuddin Muhamad Alimin Muhammad Taulani Nadya, Nadya Rifardi Untaji Affan Yayang Tika Robiatush Sholiha