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Bulletin of Engineering Science, Technology and Industry
Published by PT. RADJA INTERCONTINENTAL PUBLISHING
ISSN : -     EISSN : 30255821     DOI : https://doi.org/10.59733/besti
Core Subject : Science, Engineering,
Civil Engineering, Building, Construction & Architecture Computer Science & IT Electrical & Electronics Engineering Engineering
Bulletin of Engineering Science, Technology and Industry | ISSN: 3025-5821 is a peer-reviewed journal that publishes popular articles in the fields of Engineering, Technology and Industrial Science. This journal is published 4 times a year, namely in March, June, September and December. We invite scientists, practitioners, researchers, lecturers and students from various countries and institutions to contribute to publishing their work and research results in the fields of Engineering, Technology and Industry.
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 15 Documents
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Search results for , issue "Vol. 2 No. 3 (2024): September" : 15 Documents clear
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.
IMPLEMENTATION OF CLOUD COMPUTING ON APPLICATIONS MOBILE JOB INFO Resha Russita; Hari Toha Hidayat; Safriadi; Muhammad Nasir
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.v2i3.66

Abstract

Job vacancy info mobile application has now become an important tool for job seekers in the digital era since the COVID-19 pandemic which recorded a significant spike in the number of unemployed people in Indonesia. In facing this challenge, cloud computing implementation is a crucial solution. This research aims to test performance using the stress testing method and test cloud services from Google Cloud Platform using the Quality of Service (QoS) method. The results show that the server can withstand loads of up to 7000 users simultaneously within 180 seconds or 3 minutes. QoS testing shows that cloud services from Google Cloud Platform achieve an average throughput of 1301.4 kbps with a packet loss rate of 0.54%, an average delay of 0.0019 ms, and an average jitter of 0.00 ms. These results confirm that the implementation of cloud computing in the mobile application of job vacancy information can improve efficiency and quality of service, in accordance with the demands of a dynamic labor market and facing a significant surge in users.
EVALUATION OF THE SUITABILITY OF GREEN OPEN SPACE LAND AGAINST MEDAN CITY SPATIAL PLANNING Gusti Elcitra Limbong; Feby Milanie; Abdi Sugiarto
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.v2i4.81

Abstract

This study aims to evaluate the suitability of Green Open Space (RTH) land in Medan City based on the established Regional Spatial Plan (RTRW). Along with the rapid development of urbanization, land conversion, and increasing space needs in urban areas, Medan City faces challenges in maintaining and allocating RTH according to applicable standards. In this study, an analysis of land distribution in various sub-districts in Medan City was conducted to identify the suitability between the existing RTH area and the provisions of the RTRW. Data is processed using Geographic Information System (GIS) technology to produce accurate spatial visualization related to RTH allocation. The results of the study show that several sub-districts have green open space areas that are still below the standards set in the RTRW. Factors contributing to this mismatch include urbanization pressure, land conversion for industrial and residential purposes, and lack of supervision in the implementation of the RTRW. To address this problem, the study recommends strategies to increase green open space suitability through strengthening regulations, utilizing GIS technology for land monitoring, incentives for land owners, multi-sector collaboration, and adaptive RTRW revisions. With the implementation of this strategy, it is hoped that Medan City can improve the suitability of green open space according to the RTRW, which not only provides ecological benefits, but also supports sustainable urban development and improves the quality of life of the community.
ANALYSIS OF RESIDENTIAL AREA DEVELOPMENT IN KARO DISTRICT Hendra Gunawan Halawa; Wahyu Hidayat; Feby Milanie
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.v2i4.85

Abstract

The development of a region is greatly influenced by the development of settlements to accommodate the population in the region. Settlement problems often occur due to lack of settlement development planning, resulting in a decline in the quality of settlements. Therefore, it is necessary to conduct an analysis of settlement development. This study was conducted in the scope of Karo Regency which aims to analyze potential land to be used as a settlement area in Karo Regency. The approach used in this study is descriptive qualitative using the superimpose analysis method (overlay) and SWOT analysis. The superimpose method is carried out by overlaying a physical map of the region, and areas that have the potential to be protected. So that it produces a direction for the potential development of the settlement area. The research results show that the limited area of 128,127.81 hectares can be pushed into protected areas and agricultural areas,The constraint area of 44,812.12 Ha is a constraint area that can be developed in a limited way as residential development, and the potential area of 45,791.61 Ha is a potential area that is highly recommended as land for built-up or residential development.

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