Article Per Year (5 Year)
p-Index From 2020 - 2025
0.659
P-Index
This Author published in this journals
All Journal Applied Information System and Management Journal of Electrical Power Control and Automation (JEPCA) Jurnal Ilmiah Pendidikan dan Keislaman
Saputra, Hendi
Unknown Affiliation
Religion Education Electrical & Electronics Engineering Languange, Linguistic, Communication & Media Other

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

Found 3 Documents
Search

 1 
INTEGRASI NILAI-NILAI MODERASI BERAGAMA DI PONDOK PESANTREN NURUSSALAM DESA MENTAYAN KECAMATAN BANTAN KABUPATEN BENGKALIS Sari, Elfi; Saputra, Hendi; Umam, Nurul
Jurnal Ilmiah Pendidikan dan Keislaman Vol. 3 No. 2 (2023): Jurnal Ilmiah Pendidikan dan Keislaman
Publisher : STAI Darul Qalam Tangerang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55883/jipkis.v3i2.62

Abstract

The purpose of this study is to provide an explanation of the integration of religious moderation values at the Nurussalam Islamic Boarding School, Mentayan Village, Bantan District, Bengkalis Regency. This research is a qualitative research presented in the form of a description without intervention from the author. The results of the study reveal that in order to live life in a heterogeneous culture of society, it is necessary to strengthen the values of religious moderation, especially from within the pesantren itself. This is because Islamic boarding schools are used as the vanguard appointed by the community to restore universal Islamic teachings by taking the middle way (wasathiyah) by highlighting the values of religious moderation in order to create a harmonious life. In cultivating an attitude of religious moderation, Islamic boarding schools apply nine values that are included in various activities at the Nurussalam Islamic boarding school. The nine values in religious moderation are tawassuth (middle), I’tidal (perpendicular), tasamuh (tolerance), shura (deliberation), ishlah (reform), qudwah (pioneering), and muwathanah (love of the motherland), al -la'unf (non-violence) and I'tiraf al-'urf (culturally friendly).
Study Evaluasi Pemasangan Pembangkit Listrik Tenaga Surya Sistem Hybrid pada PT. Makmur Indah Selaras Internasional Kabupaten Muaro Jambi Provinsi Jambi Saputra, Hendi; Thamrin, NJ.; Yusiana, Venny
Journal of Electrical Power Control and Automation (JEPCA) Vol 7, No 1 (2024): Juni
Publisher : Universitas Batanghari Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33087/jepca.v7i1.113

Abstract

PT. Makmur Indah Selaras is an oil palm industry company operating in Muaro Jambi Regency, Jambi Province. For the industrial sector, electrical energy is needed for lighting as well as electric machines and motors. At PT. Makmur Indah Selaras Internasional this has led to an increase in the need for electrical energy. Solutions for the development of electrical energy needs at PT. Makmur Indah Selaras Internasional is by replacing the roof with solar panels with the use of new renewable energy (NRE) New renewable energy which is provided in the form of solar power plants. Roof to maximize the use of solar roofs as land in the application of solar panels. Calculating the power produced by PLTS HYBRID PT. Makmur Indah Selaras International. Calculating the number of materials and components used in PLTS HYBRID PT. prosperous Indah Selaras International. Electrical energy is produced during the day more than in the morning or evening. The average energy produced during the day is 379 -389 Volts.
Sentiment Analysis of COVID-19 Booster Vaccines on Twitter Using Multi-Class Support Vector Machine Nurkholis, Andi; Styawati, Styawati; Alim, Syahirul; Saputra, Hendi; Ferriyan, Andrey
Applied Information System and Management (AISM) Vol. 8 No. 1 (2025): Applied Information System and Management (AISM)
Publisher : Depart. of Information Systems, FST, UIN Syarif Hidayatullah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/aism.v8i1.42911

Abstract

The Indonesian government's implementation of a booster vaccination program as part of its COVID-19 response has generated diverse public reactions, particularly on social media platforms like Twitter. This study aims to analyze public sentiment regarding booster vaccines by examining Twitter data to understand the prevailing discourse and attitudes toward this policy. The research employs sentiment analysis, a text mining and processing technique, to classify tweets into positive, neutral, and negative categories. The study utilizes the Support Vector Machine (SVM) algorithm, evaluating its performance through a multi-class parameter assessment. Two multi-class strategies, One-against-one (OAO) and One-against-rest (OAR) are combined with various kernels (Sigmoid, Polynomial, and RBF) to identify the most accurate model for sentiment classification. The results show that the OAO method with the RBF kernel achieves the highest accuracy of 96%, outperforming other combinations like OAO with Polynomial (95.2%) and Sigmoid (93.7%) kernels. Similarly, the RBF kernel performs best with 95.5% accuracy in the OAR approach. Using the optimal model, sentiment analysis classifies 49 tweets as positive, 927 as neutral, and 24 as negative, revealing a predominantly neutral public sentiment with limited positive and negative opinions. In conclusion, this study demonstrates the effectiveness of SVM, particularly the OAO method with the RBF kernel, for sentiment analysis of social media data. The findings provide insights into public perceptions of the booster vaccine program, offering policymakers a data-driven basis for designing targeted communication strategies to address concerns and enhance public acceptance.
Co-Authors Andi Nurkholis Andrey Ferriyan, Andrey Nj. Thamrin, Nj. Sari, Elfi Styawati, Styawati Syahirul Alim Umam, Nurul Venny Yusiana