Internet of things (IoT) is a hardware (Raspberry Pi) that can connect to the internet with the aim to expand the internet network that is connected thoroughly to the hardware. The development of the Internet of things (IoT) has been widely used, especially in this day and age, one of the utilization of this IoT technology is the control of electronic room light equipment through global network controlled via smartphone that can be operated remotely. This research aims to build a remote-control device by utilizing internet technology to perform the process of controlling the lights based on the Internet of things (IoT). This research is done by building a prototype with mobile based application using python and php programming language. In this research there is a feature of controlling the room lights with the first condition of control of one lamp used to turn one room light and the second condition is used to turn the lights simultaneously.

The presence of large peatland in Riau, Indonesia, could cause air pollution due to peatland fires which causes the presence of thick smoke every year in Riau,  dis-rupting human activities. In order to monitor the air quality, in this paper,  the main advantage of the  Internet of Things (IoT) is the ability to transfer data over the network without requiring human-to-human or human interaction to the com-puter   used. In this paper, we propose an air quality monitor that can display web-based information to show the temperature and air humidity, and detects CO, CO2 gases, and alcohol in real time with the help of DHT11 and MQ135 sensors, Arduino Uno and Raspberry Pie. The results show our proposed system can successfully show each parameter of the air quality on the website and make suggestions about the overall air quality level. With our proposed system, we hope the government can respond faster to mitigate the bad air quality level and give information to public about the air quality level in a faster and more accurate way.

Abstract-Internet of Thing (IoT) is a concept with the aim of expanding the connectivity of internet networks connected to the global network. Internet of Thing (IoT) Abstract -Internet of Thing (IoT) adalah merupakan konsep dengan tujuan untuk memperluas konektivitas jaringan internet yang terhubung dengan jaringan global. Internet of Thing (IoT) dimanfaatkan untuk mengendalikan peralatan-peralatan elektronik seperti lampu dengan jarak jauh melalui jaringan internet secara global. Penelitian ini bertujuan untuk membangun perangkat remote control yang memanfaatkan teknologi internet untuk melakukan proses pengendalian di jaringan lokal melalui server web yang disematkan ke perangkat remote control. Ada dua fitur kontrol yaitu kontrol lampu yang digunakan untuk menyalakan satu lampu dan fitur kedua kontrol lampu secara keseluruhan untuk menyalakan semua lampu pada satu waktu. Ujian yang dilakukan dalam bentuk prototipe. Kondisi terakhir dari pin Raspberry Pi yang muncul di web server berbeda dengan kondisi terakhir dari peralatan elektronik yang dikontrol pada lampu. Thing (IoT), Raspberry Pi 3, lamp, internet, web server. Kata kunci-Internet of

Decision-making is the act of choosing a strategy that someone believed in providing the best solutions on something. The goal is to help a person to make decisions, and can provide support for considerations. For that we need a decision support system in the so-called Decision Support System (DSS), which is an information system that provides information, modeling, and manipulating the data, Analytic Hierarchy Process (AHP) has been a decision-making tool most widely used in various areas such as planning, selecting a good alternative location, resources, resolve conflicts, optimization and others.

A well-balanced diet is essential for individuals, particularly athletes, because it improves overall health by supplying energy besides repairing and replacing damaged cells. A well-balanced diet is also benefitting athletes to fuel their bodies before, during, and after training. This study aims to examine the intellectual structure of sports nutrition research using bibliometric measures from 1959 to 2021 based on the Scopus database. The study was investigated using SciMAT software, which employed keyword co-occurrence analysis to extract performance and scientific output vis-à-vis critical topics or themes in sports nutrition. The findings indicated that sports nutrition possesses enormous potential and growth potential. The most prevalent themes in this research area are trace elements, exercise, questionnaire, carbohydrate, and adolescent. Also, this study put up to analysing sports nutrition in countless fields, assisting in understanding its intellectual structure. Future researchers could use this data to identify the focus of awareness and make decisions in multiple ways. This study has a few limitations: 1) the researchers’ interpretation of the themes in this study was grounded on their knowledge; 2) this study only considered publication records from the Scopus database, and some sports nutrition publications may not have been included; and 3) if additional databases, such as Google Scholar, Microsoft Academics, or Dimensions, were accessed, the subject area may have shifted. The findings of this study should be accepted as a single evidence-based framework for developing future studies on sports nutrition research that will benefit researchers, practitioners, and policymakers.