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A Analisa Sentimen Terhadap Twitter IndihomeCare Menggunakan Perbandingan Algoritma Smote, Support Vector Machine, AdaBoost dan Particle Swarm Optimization Ferdian Syah; Hanif Fajrin; Abiyyu Nur Afif; Muhamad Rafi Saeputra; Dinda Mirranty; Dedi Dwi Saputra
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 7 No 1 (2023): JANUARY-MARCH 2023
Publisher : KITA Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v7i1.686

Abstract

Indihome is one of the largest internet service providers in Indonesia with an increasing number of subscribers every year. Indihome subscribers until the end of March 2022 were recorded at 8.7 million, growing 7.2 percent over the same period last year. However, over time, many customers have complained to IndiHome about slow internet access, sudden increases in billing and so on. Based on the description above, it is interesting to conduct research on the use of Indihome tweets which are the result of channeling opinions and comments on Twitter social media. This study uses the Smote method, Support vector machine, Adaboost and Particle swarm optimization so that the results can be compared with the level of accuracy. The results of this research show that by using the Smote method, Support vector machine obtained values of Accuracy 80.48, Precision 85.29, Recall 73.75 and AUC 0.907. As for the Smote, Support vector machine and AdaBoost methods, the Accuracy values are 80.21, Precision 85.01, Recall 73.36 and AUC 0.861. Finally, the results of the Smote and Particle swarm optimization methods obtained Accuracy values of 76.59, Precision 76.57, Recall 80.35 and AUC 0.868. Based on the research results, the Smote method and the Support vector machine (SVM) have the largest results and are considered effective with the existing dataset
Pelatihan Sistem Pengajuan Keuangan untuk Meningkatkan Kinerja Pengurus Yayasan Dompet Yatim dan Dhuafa Depok Dinda Mirranty Legowo; Ferdiyan Syah; Hanif Fajrin; Indah Purnamasari
TAAWUN Vol. 3 No. 01 (2023): TA'AWUN FEBRUARY 2023
Publisher : Pusat Penelitian Pengabdian Pada Masyarakat Sekolah Tinggi Ilmu Tarbiyah Al-Fattah Siman Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37850/taawun.v3i01.395

Abstract

The main purpose of community service activities in the form of training on the financial submission system of the Dompet Yatim and Dhuafa Foundation is to help increase the knowledge of the Foundation's administrators in terms of using the financial submission system that has been applied to this Foundation previously. With theimplementation of this system, it is hoped that the daily operational activities of the Foundation will be more optimal where the existence of the Foundation's financial submission system will make it easier for administrators to make financial submissions anywhere and anytime according to the needs of their respective divisions. This community service activity was carried out in the form of training and guidance to the relevant Foundation administrators and was carried out for two days at the secretariat office of the Dompet Yatim Foundation and Dhuafa Depok. There are four stages in this PKM activity, namely the planning, preparation, implementation and evaluation stages. At the planning stage, surveys and interviews with relevant partners are carried out regarding the obstacles and problems faced. Furthermore, at the stage of implementing this community service activity, the participants received a presentation on material related to the use of the Foundation's financial submission system and also the provision of a system use module. At the evaluation stage, assistance is carried out on the use of the system after the activity. The expected result of the service activities in the form of this training is to increase the understanding and skills of the Foundation's administrators in terms of using the financial submission application system so that they can optimize the daily operational activities of the Dompet Yatim and Dhuafa Foundations.