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All Journal JOURNAL OF APPLIED INFORMATICS AND COMPUTING Prosiding Seminar Riset Mahasiswa The Indonesian Journal of Computer Science
Laurenso, Justin
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Computer Science & IT Education Electrical & Electronics Engineering Engineering

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Implementation of K-Means, Hierarchical, and BIRCH Clustering Algorithms to Determine Marketing Targets for Vape Sales in Indonesia Laurenso, Justin; Jiustian, Danny; Fernando, Felix; Suhandi, Vartin; Rochadiani, Theresia Herlina
Journal of Applied Informatics and Computing Vol. 8 No. 1 (2024): July 2024
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v8i1.4871

Abstract

In today's era, smoking is a common thing in everyday life. Along with the development of the times, an innovation emerged, namely the electric cigarette or vape. Electric cigarettes or vapes use electricity to produce vapor. The e-cigarette business is very promising in today's business world due to the consistent increase in market demand. However, determining the target buyer is one of the things that is quite important in determining the success of a business. In this analysis, the background of each region in Indonesia has different diversity; therefore, observation of data is needed to find out which regions in Indonesia have the potential to increase marketing based on profits (margins) to support the target market analysis process so that companies do not suffer losses and increase business success. In this study, the analysis will be carried out using vape quantity, margin, and purchasing power data in each region, which is processed using 3 algorithms: K-Means, Hierarchical, and BIRCH. The results of the clustering of the three algorithms produce two clusters. The K-means, Hierarchical, and BIRCH algorithms produce the same clusters: a potential cluster consisting of 18 cities and a non-potential cluster consisting of 45 cities. To see the performance of the model results, an evaluation was carried out using the Silhouette score, Davies Bouldin, Calinski Harabasz, and Dunn index, which obtained results of 0.765201, 0.376322, 315.949434, and 0.013554. From these results, it can be concluded that the clustering results are not too good and not too bad because the greater the Silhouette Score, Calinski Harabasz, and Dunn Index value, the better the clustering results while for Davies Bouldin the smaller the value means the better the clustering results.
Machine Health in a Click: A Website for Real-Time Machine Condition Monitoring Rochadiani, Theresia Herlina; Santoso, Handri; Aprilia, Novia Pramesti; Laurenso, Justin; Suhandi, Vartin
The Indonesian Journal of Computer Science Vol. 12 No. 6 (2023): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v12i6.3592

Abstract

Globalization in the current digital era has made it easier to use information technology to obtain fast and accurate information. One source of information is a website that can be used to monitor machine conditions in the industry. A good machine maintenance strategy is needed to maintain and increase machine productivity. Therefore, this research aims to build a website to monitor machine conditions in real-time. The machine condition is monitored using sushi sensors to track parameters such as temperature, acceleration, and velocity. Deep learning analysis is then used to identify anomalies in the machine. Using the SCRUM method, this website was successfully built. From the results of tests carried out using unit testing and integrated testing, every feature on this website can run well and according to user needs.
Perancangan Aplikasi Fire Report untuk Mendukung Smart City di Kota Pontianak Lim, Fredrick; Laurenso, Justin; Ayunda, Afifah Trista
Prosiding Seminar Riset Mahasiswa Vol 1, No 1: Maret 2023
Publisher : Universitas Islam Sultan Agung

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Pontianak adalah salah satu kota dengan jumlah pemadam kebakaran terbanyak di Indonesia. Koordinasi dan kecepatan adalah kunci sukses dari pemadaman api. Objektif penelitian ini adalah merancang aplikasi Fire Report (FiRe) untuk mengintegrasikan pemadam dan masyarakat dalam satu aplikasi sehingga proses komunikasi dan pertukaran informasi menjadi lebih efektif dan efisien. Preliminary research dilakukan untuk menganalisis kebutuhan aplikasi Fire Report menggunakan kuisioner yang disebarkan kepada seluruh masyarakat Pontianak. Perancangan aplikasi menghasilkan prototype dengan fitur- fitur yang diperuntukan untuk masyarakat, pemadam kebakaran, polisi, PLN dan jurnalis. Fitur- fitur dirancang untuk memperoleh informasi mengenai kebakaran, peringatan apabila terjadi kebakaran dan riwayat laporan. Pengujian aplikasi dilakukan menggunakan SUS untuk mengukur usability dari aplikasi. Berdasarkan usability testing yang telah dilakukan menghasilkan skor 73,72 dengan kategori Good yang menyatakan bahwa aplikasi Fire Report layak untuk digunakan.Keyword: Fire Report, Perancangan, Prototype, Smart City, Usability testing
Co-Authors Aprilia, Novia Pramesti Ayunda, Afifah Trista Fernando, Felix Jiustian, Danny Lim, Fredrick Rochadiani, Theresia Herlina Santoso, Handri Suhandi, Vartin Yohannis, Alfa Ryano