Urban rivers water quality is not suitable for use. The volume of river water in the city is fast full when it rains. Both of these problems need to be monitored. The purpose of monitored to give a warning to a community around the rivers. The rivers water quality determined base on the pH sensor, and turbidity sensor detection. The river water level is determined based on the results of ultrasonic sensor readings. The reading of three sensors is sent via GSM (General Service Mobile) communication network in SMS (Short Message Service) form. The reading also sent via internet data communication network to the server and displayed on web page form. This study indicates that all three sensors are able to detect pH, turbidity, and surface level of the river. The Sensors reading delivered via the GSM communication network, it provides real-time river water information. Whereas sensor readings sent via data communication networks provide river water information that is not real-time. Thus, sensor readings of water urban rivers better delivered via GSM on SMS form than via data communication on Web page form.
ABSTRAKBus Transjakarta adalah alat transportasi darat yang dapat menampung jumlah penumpang dalam kapasitas besar. Fungsi Bus Transjakarta ini digunakan untuk mempermudah dalam proses pengantaran para penumpang dari halte ke halte selanjutnya. Permasalahan yang sering kita jumpai bahwa Bus Transjakarta saat ini kurang mengutamakan rasa kenyamanan dan ketertiban para penumpangnya, seperti yang kita ketahui terdapat sebagian penumpang yang tetap memaksakan dirinya untuk tetap masuk ke dalam bus dimana bus tersebut sudah melebihi batas kapasitas yang dianjurkan, hal itu dapat mengakibatkan terdesaknya penumpang didalam bus dan membuat penumpang lainnya merasa kurang nyaman dan juga semakin kurang berlakunya social distancing yang dianjurkan pemerintah dalam situasi pandemik seperti saat ini. Oleh sebab itu untuk mempermudah kernet bus dalam memonitoring penumpang, maka terwujudlah suatu komponen Arduino Uno yang terhubung langsung dengan sensor infrared yang berfungsi untuk meng-Input otomatis ketika penumpang ingin masuk & keluar bus. Proses pengujian infrared dapat di hasilkan bahwa sensor tersebut dapat mendeteksi objek dengan maksimal jarak 15cm. Pada penelitian ini menggunakan Algoritma Naïve Bayes dan K-Nearest Neighbor (KNN) untuk menghitung nilai akurasi dari setiap data input pada kinerja sensor infrared yaitu dengan menghitung penumpang yang masuk maupun yang keluar dari Bus Transjakarta. Berdasarkan hasil uji yang telah dilakukan menggunakan 300 data dari pengujian smartcounter yang diolah menggunakan software RapidMiner pada algoritma Naïve Bayes sebesar 96,67% dan Algoritma K-Nearest Neighbor (KNN) memperoleh hasil sebesar 86,67%. Algoritma Naïve Bayes lebih unggul pada data yang digunakan di penelitian ini daripada Algoritma K-Nearest Neighbor (KNN) dalam menghitung skala akurasi ketepatan input data.
This article discusses the functional potentialities of the static long-take application, as an alternative filming method to the coverage approach, in the film-making style of Apichatpong Weerasethakul. By employing stylistic analysis on Sang Sattawat/Syndromes and a Century (2006) and Sud Sanaeha/Blissfully Yours (2002), the study argues that the patterning of the static long-take technique in handling lengthy conversation scenes sacrifice narrational clarity to foreground the expressivity and nuances of interpersonal interaction. An important facet of this expressivity is the deliberation of indirect communication, that is ‘the means in which one meaning is conveyed indirectly through utterances or non-verbal behaviors in order to achieve certain goal, or the means in which one’s intent is revealed in a roundabout way’. But acting more than a creative exercise in the poeticization of human communicative behaviour, this foregrounding of indirect communication opens up a wider socio-historical framework that Apichatpong’s film-making taps into.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.