p-Index From 2020 - 2025
7.164
P-Index
This Author published in this journals
All Journal Jurnal Bahasa dan Sastra Jurnal Penelitian Sains (JPS) JURNAL PENGABDIAN KEPADA MASYARAKAT Berkala Ilmiah Pendidikan Fisika Jurnal Penelitian Sains (JPS) Jurnal Inovasi dan Pembelajaran Fisika JIPFRI (Jurnal Inovasi Pendidikan Fisika dan Riset Ilmiah) Jurnal Penelitian Sains JOURNAL OF MECHANICAL ENGINEERING, MANUFACTURES, MATERIALS AND ENERGY Seminar Nasional Pendidikan IPA Jurnal Penelitian Pendidikan IPA (JPPIPA) Jurnal Ilmiah Pendidikan Fisika Jurnal Pendidikan Fisika dan Teknologi Kasuari: Physics Education Journal (KPEJ) JURNAL MAHAJANA INFORMASI Jurnal Informasi dan Teknologi JAGAT (Jurnal Geografi Aplikasi dan Teknologi) Jurnal Info Sains : Informatika dan Sains EKONOMIKA45 JIFP (Jurnal Ilmu Fisika dan Pembelajarannya) PEKBIS Jurnal Nasional Teknologi Komputer Jurnal Hasil Pengabdian Masyarakat (JURIBMAS) Jurnal Ilmu Sosial, Pendidikan Dan Humaniora Jurnal Riset Rumpun Ilmu Teknik (JURRITEK) Jurnal Pendidikan Sains Indonesia (Indonesian Journal of Science Education) Jurnal Nakula: Pusat Ilmu Pendidikan, Bahasa Dan Ilmu Sosial Jurnal Pengabdian Masyarakat dan Riset Pendidikan Peksos: Jurnal Ilmiah Pekerjaan Sosial Jurnal Pendidikan & Pengajaran Jurnal Dharma Pendidikan dan Keolahragaan Bridge: Jurnal Publikasi Sistem Informasi dan Telekomunikasi Bulletin of Engineering Science, Technology and Industry Jurnal Elektronik Pendidikan Matematika Tadulako Teknofile, Jurnal Sistem Informasi Abdimas, Jurnal Pengabdian Masyarakat
Claim Missing Document
Check
Articles

Found 3 Documents
Search
Journal : Bulletin of Engineering Science, Technology and Industry

OPTIMIZATION OF WIFI NETWORK IN KUALANAMU INTERNATIONAL AIRPORT Hendra Harnanda; Andysah Putra Utama Siahaan; Leni Marlina; Muhammad Iqbal; Zulham Sitorus
Bulletin of Engineering Science, Technology and Industry Vol. 2 No. 4 (2024): December
Publisher : PT. Radja Intercontinental Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59733/besti.v2i4.67

Abstract

A reliable and efficient WiFi network is a crucial facility to support the activities of passengers and visitors at Kualanamu International Airport. This study aims to identify issues affecting WiFi network performance and provide optimization solutions based on technical analysis and user needs. Data collection was conducted by measuring network parameters such as throughput, delay, jitter, and packet loss across various strategic airport areas, including waiting rooms, departure terminals, and commercial zones. The analysis revealed key challenges, such as high user density during peak hours and uneven access point distribution. To address these issues, the study proposes optimization steps, including bandwidth capacity expansion, reconfiguration of network devices, and the adoption of advanced technologies like WiFi 6. Implementing these recommendations is expected to enhance the quality of the WiFi network at Kualanamu International Airport, improve user experience, and support overall airport operations effectively.
ANALYSIS OF GOOGLE USER SENTIMENT TOWARDS UNIVERSITAS PEMBANGUNAN PANCA BUDI BASED ON REVIEWS GOOGLEUSING THE NAÏVE BAYES ALGORITHM M Imam Santoso; Rian Farta Wijaya; Zulham Sitorus; Muhammad Iqbal; Leni Marlina
Bulletin of Engineering Science, Technology and Industry Vol. 2 No. 3 (2024): September
Publisher : PT. Radja Intercontinental Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59733/besti.v2i3.63

Abstract

This thesis examines user sentiment towards Panca Budi Development University by utilizing Google reviews as the main data and using the Naïve Bayes algorithm for sentiment analysis. This research aims to understand the public's perception of the university through reviewing reviews available on the Google platform. The data used consists of user reviews collected from Google Reviews. The analysis process begins with data pre-processing, including text cleaning and tokenization, followed by the development of a Naïve Bayes model for classification of review sentiment into positive, negative, or neutral categories. The results of this analysis provide insight into the strengths and weaknesses of Panca Budi Development University from a user perspective, as well as identifying areas that require improvement. It is hoped that these findings can become a basis for the university to improve the quality of its services and reputation in the eyes of the public. This research also highlights the effectiveness of the Naïve Bayes algorithm in sentiment analysis, and contributes to further studies on sentiment analysis in the education sector
COMPARATIVE ANALYSIS OF NAIVE BAYES ALGORITHM AND C4.5 ALGORITHM IN SELECTING TYPES OF UMKM PRODUCTS IN BBPSDMP KOMINFO MEDAN TRAINING Alex Siregar; Leni Marlina; Khairul; Muhammad Iqbal; Andysah Putera Utama Siahaan
Bulletin of Engineering Science, Technology and Industry Vol. 2 No. 3 (2024): September
Publisher : PT. Radja Intercontinental Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59733/besti.v2i3.64

Abstract

This study compares the accuracy of the Naïve Bayes and C4.5 algorithms in determining the most suitable product types for Micro, Small, and Medium Enterprises (MSMEs) participating in the Digital Entrepreneurship Academy (DEA) training program at BBPSDMP Kominfo Medan. This study uses a dataset from DEA participants between 2021 and 2022. The analysis shows that the C4.5 algorithm has a higher accuracy compared to Naïve Bayes, indicating its better effectiveness in helping MSMEs choose product types. These findings suggest that C4.5 is more suitable for applications that require a high level of accuracy, especially in the context of this study. This study provides valuable insights into the selection of algorithms to support decision making in the MSME sector.
Co-Authors Ahmad Fali Oklilas Ainun Daniaty Annisah Alex Siregar Andysah Putera Utama Siahaan Anida Chairatunnisa Anida Chairatunnisa Anisa Ramadhani Anissa Arianti Apit Fathurohman Ardi Arika Sari Aris Toteles Azhar Azhar Bakhtaruddin Nasution Bayong Tjasyono Billy Pratama Kahimpong Caska - Delia Septimiranti Dewi Rawani Diah Kartika Sari Dion Apri Adi Saputra Dona Liza Dwi Nevitasari Ely Lestari Br Purba Esti Susiloningsih Fachri, Barany Feri Iskandar Feri Iskandar fima ratna sari Fitriani Fitriani Gea, Lusiana Aliran Pinta Wati Gelby Pradina Paramitha Hairil Adzulyatno Hadini Hamdi Akhsan Har tanto Hartanto Hartanto Hendra Harnanda Hermansyah Ida Sriyanti Ida Sriyanti Ida Sriyanti Iham Iqbal Geni Pratama Irvan Nur Rizki Ismet Ismet Iwin Arnova Jabil Muklis Jaidan Jauhari Jaidan Jauhari Karmila Ketang Wiyono Ketang Wiyono Ketang Wiyono Khairul Khairul Khairul, Khairul Khairurijal . Khairurijal Khairurijal L.M Iradat Salihin Liliasari , Lintang Auliya Kurdiati Lisnani Lisnani Lita Luciana M Imam Santoso M Rama Almafie Mahdum Maliyan Karenina Meilinda Meilinda Mr Sumar Hendayana Muhamad Habil Khotami Muhammad Muhammad Iqbal Muhammad Ismail Nasution Muhammad Rama Almafie Muhammad Rama Almafie Muhammad Rudi Sanjaya Mulya Yusnarti Murniati . Mutia Faradini Ramadhanty Mutiara Putri Nunung Hendriani Nuriz Dariyani Opi Andriani Pedi Riswandi PUPUT MELATI Putra, Randi Rian Putri Nadya Agustin Reyhan Rahmanita Ratu Ilma Indra Putri Rian Farta Wijaya Rina Aprilia Rizky ananda fradana Samsuryadi Samsuryadi Sardianto Markos Siahaan Sela, Melinia Siti Sopiah Sitorus, Zulham srilistari srilistari Sudirman Sudirman, Sudirman Suheri Sulastri Sulastri Syuhendri, Syuhendri Tria Gustiningsi Ujang Supriyadi Wiko Pratama Wina Aulia Yahya Eko Nopiyanto Yanti Yuliarti Yurika Usparianti L Zahara Lutfiya Azmi Zahara Lutfiya Azmi Zahara Lutfiya Azmi Zen, Muhammad Zulkardi Zulkardi