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Abstrak :
Kadar kualitas udara yang ada pada suatu daerah menjadikan tolak ukur keamanan dan kebersihan daerah tersebut. Begitu juga dengan area tertutup seperti parkiran bawah tanah (basement). Persentase kadar gas yang terperangkap di parkiran basement jauh lebih tinggi dibandingkan tempat tertutup lainnya. Hal ini dikarenakan pada area tersebut terdapat aktivitas keluar masuk kendaraan sehingga potensi terperangkapnya gas karbon monoksida (CO) yang berasal dari kendaraan sangat tinggi. Berdasarkan kondisi tersebut diperlukan untuk dibuat sistem monitoring kadar gas CO di area parkir. Pada penelitian ini, dibuat rancang bangun alat deteksi kadar gas CO berbasis Internet of Things (IoT). Sensor gas yang dipakai adalah MQ-7 yang digabungkan dengan mikrokontroler Arduino Uno. Untuk jalur pengiriman data secara real-time digunakan WiFi modul ESP8266. Data yang telah diambil oleh sensor akan disimpan dalam ThingSpeak cloud melalui ESP8266. Berdasarkan hasil monitoring didapatkan nilaikadar gas CO parkiran basement mall di Jakarta Utara memiliki nilai rata-rata yang tertinggi, yaitu dengan nilai rata-rata 16,22 ppm dan mall di Jakarta Timur memiliki nilai rata-rata terendah di antara wilayah-wilayah lain di Jakarta, yaitu 15,03 ppm. ......Air quality levels that exist in an area make a measure of the safety and cleanliness of the area, likewise with closed areas such as basement parking. The percentage of gas trapped in the basement parking lot is much higher than in other enclosed places. It is because, in that area, there is an activity in and out of the vehicle so that the potential for trapping carbon monoxide (CO) gas coming from the vehicle is very high. Under these conditions, it is necessary to set up a CO gas content monitoring system in the parking area. In this research, an Internet of Things (IoT)-based CO gas detection tool was designed. The gas sensor used is the MQ-7, that combined with the Arduino Uno microcontroller. The WiFi module ESP8266 used for the data transmission path in realtime. The researcher used ThingSpeak cloud via ESP8266 to store the data that has been taken by the sensor. Based on the monitoring results, the CO gas basement mall basement level in North Jakarta has the highest average value, with an average value of 16.22 ppm and the mall in East Jakarta has the lowest average cost among other regions in Jakarta, which is 15.03 ppm

Abstrak :
Monitoring proyek konstruksi adalah proses melacak, meninjau, dan meregulasi progres dan kinerja proyek, serta mengidentifikasi masalah yang muncul selama implementasi proyek. Laporan monitoring proyek juga berfungsi untuk menyelesaikan proyek sesuai anggaran dan waktu rencana. Proses monitoring proyek secara konvensional membutuhkan banyak tenaga kerja, memakan waktu, dan rawan error sehingga tidak efektif. Oleh karena itu, dibutuhkan sebuah sistem monitoring proyek yang berlangsung secara otomatis, terintegrasi secara disgital, serta efektif dan efisien untuk diterapkan pada proyek berskala besar, seperti pembangunan Sumbu Kebangsaan IKN. Pada penelitian ini akan dibahas tentang Tinjauan literatur dilakukan untuk mengidentifikasi aktivitas monitoring proyek konstruksi, sehingga instrumen monitoring dapat disusun sesuai dengan kebutuhan aktivitas monitoring proyek konstruksi. Tinjauan literatur juga dilakukan dari berbagai sumber untuk mengumpulkan data instrumen monitoring seperti fungsi, kelebihan, kekurangan, dan haga instrumen. Kerangka kerja disusun untuk menggambarka interoperabilitas antar instrumen, serta proses pengumpulan data monitorinng dari area proyek, hingga pelaporan dan pengambilan tindakan. Pada studi kasus aktivitas monitoring proyek gedung Command Center yang terletak di area Sumbu Kebangsaan IKN, diperlukan instrumen UAV, SLAM, RGB Camera, Wide Angle Camera, LiDAR, Machine Learning, Ultra Wideband, BIM, IoT, Infrared Camera, dan WiFi. ......Construction project monitoring is a process of tracking, reviewing, and regulating project progress and performance, as well as identifying problems that arise during project implementation. The project monitoring report also used to accomplish the project according to the planned budget and schedule. The conventional project monitoring process reuires a lot of manpower, time-consuming, and error-prone, thus not effective to be implemented. Therefore, a project monitoring that is automatic, digitally integrated, effective and efficient is needed to be apllied to large-scale projects, such as the construction of the Sumbu Kebangsaan IKN. In this study, a literature review will be discussed to identify construction project monitoring activities, so that monitoring instruments can be prepared according to the needs of construction project monitoring activities. A literature review was also conducted from various sources to collect monitoring instrument data such as the tools function, advantages, disadvantages, and price of the instrument. The framework is developed to describe the interoperability between instruments, as well as the process of collecting monitoring data fom the construction site, until reporting and acion taking. In the case study of monitoring activities for the  Command Center building located at the Sumbu Kebangsaan IKN area, the instruments reuired are UAV, SLAM, RGB Camera, Wide Angle Camera, LiDAR, Machine Learning, Ultra Wideband, BIM, IoT, Infrared Camera, and WiFi.