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IMPLEMENTASI MONITORING PARAMETER LOCALIZER BERBASIS INTERNET OF THINGS Afandi Sahputra; Mutiara Widasari Sitopu; Eriansyah Saputra Hasibuan; Donna Nurhaida Masdiana Sirait
JURTEKSI (Jurnal Teknologi dan Sistem Informasi) Vol 7, No 3 (2021): Agustus 2021
Publisher : STMIK Royal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/jurteksi.v7i3.1020

Abstract

Abstract: In this study, one of the 4.0 industrial technologies was used to monitor the parameters of the localizer using an android based internet of things application to simplify and shorten the time for monitoring instrument landing system (ILS) equipment. Technicians, management of the Public Company (Perum) Indonesian Aviation Navigation Service Organizing Agency, and the Navigation Inspector do not have to go the runway to check the performance of the landing system instrument, simply use the android application to monitor the parameters of the localizer instrument. In the experiment, measuring the input voltage to the Arduino pin with a negative ground position and positive in the A9 pin position with the playing condition o Tx1 in the on position using a multimeter, the voltage value is 2.99 volt, while the main position on Tx1 is in the off condition, the voltage value is obtained 4.88 volts.       Keywords: instrument landing system; internet of things  Abstrak: Pada penelitian ini digunakan salah satu teknologi industri 4.0 untuk memonitoring parameter dari Localizer menggunakan aplikasi android berbasis Internet of Things (IoT) untuk mempermudah dan mempersingkat waktu dalam monitoring peralatan instrument landing system (ILS). Teknisi, manajemen Perusahaan Umum (Perum) Lembaga Penyelenggara Pelayanan Navigasi Penerbangan Indonesia LPPNPI dan Inspektur Navigasi tidak harus ke landasan pacu untuk mengecek kinerja instrument landing system cukup menggunakan aplikasi android untuk memonitoring parameter Localizer instrument landing system (ILS). Pada percobaan pengukuran tegangan input ke pin arduino dengan negatif pada posisi ground dan positif berada pada posisi pin A9 dengan kondisi main di TX1 pada posisi on dengan menggunakan multimeter didapat nilai tegangan 2,99 Volt, sedangkan posisi main di TX1 pada kondisi off didapat nilai tegangan 4,88 Volt. Kata kunci: instrument landing system; internet of things  
Sentiment Analysis of Platform X Users on Starlink Using Naive Bayes M. Khalil Gibran; Rifki, Mhd Ikhsan; Hasugian, Abdul Halim; Siahaan, Ahmad Taufik Al Afkari; Afandi Sahputra; Ong, Russell
Bahasa Indonesia Vol 16 No 03 (2024): Instal : Jurnal Komputer
Publisher : Cattleya Darmaya Fortuna

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/jurnalinstall.v16i03.240

Abstract

This research aims to analyze public sentiment towards Starlink through tweets collected using the hashtag "starlink." The data crawling process was successful in collecting 1888 tweets. However, upon checking and processing the data, we reduced the number of valid and relevant tweets to 416. This reduction occurred due to duplicate data and the use of common keywords. We performed sentiment classification using the Naive Bayes model, yielding the following sentiment distribution: We classified 287 tweets (68.99%) as positive, 112 tweets (26.92%) as neutral, and 17 tweets (4.09%) as negative. The model performance evaluation shows good results with a recall of 0.80, precision of 0.90, F1 score of 0.83, and accuracy score of 0.80. The results of this study indicate that the majority of tweets related to Starlink have positive sentiments, indicating a generally favorable public perception of the service. A small proportion of tweets showed neutral and negative sentiments, which can provide valuable input for service improvement. The Naive Bayes model is able to classify sentiment with fairly high accuracy, making it one of the most effective tools for sentiment analysis.