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All Journal Jurnal Saintekom : Sains, Teknologi, Komputer dan Manajemen MATRIX : JURNAL MANAJEMEN TEKNOLOGI DAN INFORMATIKA
Amrullah, Ahmad Zuli
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management

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SISTEM KONTROL DAN MONITORING TANAMAN HIDROPONIK BERBASIS INTERNET OF THINGS (IoT) MENGGUNAKAN NODEMCU ESP32 Hidayat, Muh Adrian Juniarta; Amrullah, Ahmad Zuli
Jurnal Saintekom : Sains, Teknologi, Komputer dan Manajemen Vol 12 No 1 (2022): Maret 2022
Publisher : STMIK Palangkaraya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33020/saintekom.v12i1.223

Abstract

The rapid development of Internet of Things (IoT) technology makes its use even more widespread in various fields. IoT is a series of technologies that are combined to create a device that can be controlled remotely via the internet. In this study, IoT technology is applied to control and monitor hydroponic plants using one of the IoT devices, the NodeMCU ESP32. The purpose of this research is to create an automatic nutrition system for hydroponic plants by utilizing various sensors and monitoring the development of hydroponic plants remotely via the internet to see the performance of IoT technology in controlling and monitoring. The results of this study indicate that the application of IoT technology can precisely provide nutrients to hydroponic plants according to the specified time and can transmit data accurately and in real-time via the internet and displayed on web applications that can be accessed from anywhere.
Topic modeling and sentiment analysis about Mandalika on social media using the latent Dirichlet allocation method Hammad, Rifqi; Hardita, Veny Cahya; Amrullah, Ahmad Zuli
Matrix : Jurnal Manajemen Teknologi dan Informatika Vol. 12 No. 3 (2022): Matrix: Jurnal Manajemen Teknologi dan Informatika
Publisher : Unit Publikasi Ilmiah, P3M, Politeknik Negeri Bali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31940/matrix.v12i3.109-116

Abstract

The rapid and widespread dissemination of information currently affects the tourism sector. One tourist area that is quite widely discussed is the Mandalika Circuit. Twitter is one platform that provides comments related to the Mandalika Circuit. The amount of information related to the Mandalika Circuit is currently not being utilized properly by managers (government or private). It causes many topics related to the Mandalika Circuit that are currently trending, and public sentiment regarding the Mandalika Circuit is unknown to the government or private sector. Ignorance can result in delays in decision making which can harm the manager. To overcome this problem, research on sentiment analysis and topic modeling related to the Mandalika Circuit was carried out. The sentiment analysis method used is SVM and for modeling using LDA. Based on the results of the sentiment analysis, 1500 tweets were obtained before doing the pre-processing process, thus getting a dataset of 500 tweets divided into 398 positive and 102 negative tweets. So it can be concluded that more Twitter users give positive than negative responses to the Mandalika Circuit. The test results show that the SVM algorithm can classify sentiment toward the Mandalika Circuit well, as indicated by the measurement of the performance of the SVM algorithm, namely 87% accuracy, 77% precision, 84.81% recall, and 98.52% specificity. These results also show that the F1 Score compares the average precision and recall, which is weighted at 80.72%.
Co-Authors Hammad, Rifqi Hardita, Veny Cahya Hidayat, Muh Adrian Juniarta