Article Per Year (5 Year)
p-Index From 2020 - 2025
0.444
P-Index
This Author published in this journals
All Journal Jurnal Pengembangan Sistem Informasi dan Informatika JURNAL ISIP VOICE : Jurnal Ilmu Sosial dan Ilmu Politik
Iqrom, Redho Aidil
Unknown Affiliation
Religion Humanities Computer Science & IT Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Social Sciences

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Penerapan Metode Support Vector Machine Dalam Menganalisis Sentimen Pengguna Aplikasi Sirekap 2024 Di Google Playstore Iqrom, Redho Aidil; Syahril, Muhammad; Jakak, Pamuji Muhamad; Irawan, Indra; Febyani, Yanita
Jurnal Pengembangan Sistem Informasi dan Informatika Vol. 6 No. 1 (2025): Jurnal Pengembangan Sistem Informasi dan Informatika
Publisher : Training & Research Institute - Jeramba Ilmu Sukses

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47747/jpsii.v6i1.2565

Abstract

Sirekap is a mobile application that was built to help the public monitor and oversee the development of the 2024 elections held in Indonesia. The research aims to apply the Support Vector Machine algorithm in analyzing sentiment about the use of the Sirekap application in 2024. The Support Vector Machine method is used to classify user sentiment into classes, namely positive, negative, and very negative. The amount of data used is 15,000 data sourced from Sirekap application reviews on Google PlayStore, with more detailed research stages including data collection, data preprocessing, data labeling, visualization, word weighting, and testing and analysis. The results show that the Support Vector Machine algorithm provides an accuracy of 88% for the Sirekap 2024 application. These results are expected to help developers to develop further the Sirekap 2024 application in improving the quality of the application and providing better user comfort Based on the results of the sentiment analysis of Sirekap 2024 application users on the Google Play store using the Support Vector Machine (SVM) method, an accuracy rate of 88% was obtained in classifying the sentiment of reviews into positive, negative, and very negative. This shows that the Support Vector Machine method is quite accurate for sentiment analysis of Indonesian text data. Overall, most reviews are very negative with a percentage reaching 76.9%, followed by negative reviews at 12.6%, and the least are positive reviews at 11%.
Operational Management of Ship Guidance PT. Pelabuhan Indonesia II (Persero) Palembang Branch: Pengelolaan Operasional Pemanduan Kapal PT. Pelabuhan Indonesia II (Persero) Cabang Palembang Austin, Trecy; Ramadhan, M. Nur; Iqrom, Redho Aidil; Ibrahim, Ibrahim
JURNAL ISIP VOICE : Jurnal Ilmu Sosial dan Ilmu Politik Vol. 3 No. 2 (2024): JULI-DESEMBER
Publisher : Gayaku Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58222/jiv.v3i2.992

Abstract

As we know, ship management is an activity carried out to initiate a process in work related to ships. This research aims to understand the operational management of ship guidance at PT. Pelabuhan Indonesia II (PERSERO) branch in Palembang. This company is engaged in the provision of shipping, port services for shipping routes, and docking places for ships. Pilotage is the service provided by a vessel when it is about to dock at a stop. The implementation of ship piloting and towing is governed by the Regulation of the Minister of Transportation of the Republic of Indonesia Number 57 of 2015. This research examines how they manage the operational guidance of ships. The findings in the field are related to delays in processes, lack of punctuality, and various other issues. Various operations in the shipping sector using services are wasted time or inefficient. Researchers use the POAC Theory: planning, organizing, actuating, and controlling. This research has informants, namely; (1) Captain of the Sea Pilot, (2) Captain of the Port Pilot, (3) ship entry staff, (4) customer service staff, and (5) ship agents who frequently use the services. The analysis of research involves data reduction or data summarization, data presentation or the objectives to be achieved, and the formulation of conclusions. The research results indicate that the operational management of ship guidance conducted by PT. Pelabuhan Indonesia II (PERSERO) Palembang Branch, when related to the POAC theory, has not been optimal. The hope is that the company's information sources must continue to be updated. The commitment of the guides and staff must be further enhanced so that they can work collaboratively.
Co-Authors Austin, Trecy Febyani, Yanita Ibrahim Ibrahim Indra Irawan Muhammad Syahril Pamuji Muhamad Jakak Ramadhan, M. Nur