<p><em>The cigarette smoke is one of the habits that exist in everyday life that cannot be avoided. Smoking can damage health such as respiratory disorders, poisoning of the central nervous system and heart. One of the causes of cigarette smoke, such as cervical cancer, heart impotence, pregnancy disorders and many more. Not only that, smoking can harm other people to take part in inhaling the smoke. From these problems, a Cigarette Smoke Monitoring System was created using a Flame Sensor, MQ 135 Sensor and DHT11 Sensor with Wemos D1 R1 and Blynk to increase usage and monitoring efficiency to properly neutralize Cigarette Smoke in the room. So that a solution appears to the above problems by making this tool, the cause of harmful cigarette smoke can be minimized and the amount of cigarette smoke can be monitored every day due to the manufacture of this tool. The cigarette smoke monitoring system also functions to warn people who violate the smoking ban in a certain room. This research produces a prototype tool using 3 Flame Sensors, DHT11 Sensors and MQ 135 Sensors to detect the presence of fire. Blynk IoT to display data on smartphones and can be monitored via the Thingspeak Web to temporarily store data. Based on the test and measurement results obtained, the sensor used in the final project works properly. The MQ 135 sensor detects CO2 gas levels with an error value of 13.8%, the DHT 11 sensor when it detects temperature gets an error value of 7.17% and when it detects humidity it gets an error value of 3.29%.</em></p><p> </p><p><strong><em>Keywords</em></strong><em>: Cigarette Smoke Monitoring, Internet Of Things (IoT), Web Thingspeak.</em></p><p> </p><p class="Abstract" align="center"><strong>ABSTRAK  </strong></p><p>Asap Rokok merupakan salah satu kebiasaan yang ada di kehidupan sehari-hari yang tidak bisa dihindari. Merokok dapat merusak kesehatan seperti gangguan pernafasan, keracunan sistem saraf pusat dan jantung. Salah satu penyebab asap rokok seperti kanker serviks, impotensi jantung gangguan kehamilan dan masih banyak lagi. Tidak hanya itu saja, merokok bisa membahayakan orang lain untuk ikut menghirup asapnya. Dari permasalahan tersebut dibuatlah Sistem Monitoring Asap Rokok menggunakan Flame Sensor, Sensor MQ 135 dan Sensor DHT11 dengan Wemos D1 R1 dan Blynk untuk meningkatkan efisiensi penggunaan dan monitoring untuk menetralisir Asap Rokok pada ruangan dengan baik. Sehingga muncul solusi terhadap permasalahan diatas dengan pembuatan alat ini, asap rokok yang berbahaya itu dapat diminimalisir penyebabnya dan dapat dimonitoring banyaknya asap rokok setiap harinya karena pembuatan alat ini. Sistem monitoring asap rokok berfungsi juga untuk memperingatkan kepada orang yang melanggar larangan merokok pada suatu ruangan tertentu, Peneletian  ini menghasilkan sebuah prototype alata dengan menggunakan 3 sensor Flame Sensor, Sensor DHT11 dan Sensor MQ 135 Mendeteksi kebaradaan api  Suhu,Kelembaban dan Kadar Asap CO2 sebagai parameter input untuk diproses pada Mikrokontroller Wemos D1 R1 ESP8266 kemudian buzzer relay dan fan sebagai indikator apabila terdeteksi asap rokok pada ruangan operasi ini menghasilkan nilai output pada tampilan OLED.  Blynk IoT untuk menampilkan data pada smartphone dan bisa dapat dimonitoring melalui Web Thingspeak untuk menyimpaan data sementara. Berdasrkan hasil pengujian dan pengukuran yang di dapat, sensor yang digunakan dalam project akhir bekerjadengan semestinya.Sensor MQ 135 mendeteksi kadar asap gas CO2 memiliki nilai error cukup besar 13,8 %,Sensor DHT 11 pada saat mendeteksi suhu mendapatkan nilai error sebesar 7,17 % dan  pada saat mendeteksi kelembapan mendapatkan nilai error sebesar 3,29 %.</p>

WLAN is a wireless telecommunications network in the process of distributing data or information. This network is easier and economical to build because without having to do the design of cable lines and no need for cables as devices. In the main building of the Faculty of Industrial Technology UNISSULA already has a WLAN network, but there are blankspots in several areas. The layout and number of Access Points (AP) greatly affect the quality of the WLAN signal, besides the number of users. Optimization is done by comparing the number of AP exiting with the number of APs based on the coverage area and number of users. The parameters used for network quality are signal strength more than -75 dBm and Signal to Noise Ratio (SNR) of more than 25 dB. Retrieval of existing network quality data with walktest method using the Ekahau Site Survey software. The quality of signal strength and SNR based on the coverage area is calculated using the COST 231 Multiwall method, while those based on the number of users are calculated using the ratio of Airtime per Device (APD) to Number of Device (NoD). The next step, simulating the AP layout using the Ekahau Site Survey software. The research concluded that each floor only requires 2 pieces AP. The percentage value of signal strength&gt; -75 dBm after optimization is 86%, 89.8%, and 87.4% for floors 1, 2, and 3 respectively. While the SNR percentage values&gt; 25 dB after optimization are 81.1%, 86.3%, and 84.5% for floors 1, 2, and 3 respectively.<p class="Abstract">  </p>