Judul: Analisis Akurasi Sensor Gas Amonia dan Karbon Dioksida untuk Kandang Kuda di Unit Rehabilitasi dan Reproduksi (URR) SKHB IPB
Abstrak: Penyakit pada hewan dapat disebabkan karena masalah kebersihan kandang yang di dalamnya terdapat berbagai gas, seperti NH3 dan CO2. Oleh karena itu, perlu implementasi IoT untuk mengukur kadar gas NH3 dan CO2 yang akan memudahkan monitoring kadar gas di kandang. Penelitian ini dilakukan di kandang kuda URR SKHB IPB dan menggunakan tahapan identifikasi kebutuhan, desain, implementasi, dan pengujian. Dalam penelitian ini perangkat keras yang digunakan adalah ESP32, MICS-6814, MICS-4514, BME-680, dan MH-Z19. Dengan adanya berbagai jenis sensor, maka perlu pengujian untuk membandingkan akurasinya. Pengujian dilakukan selama enam hari dan dilakukan dua tahap, yaitu kalibrasi dan pengukuran akurasi. Setelah itu diambil data satu hari pengujian yang dianggap paling lengkap sebelum dan sesudah kalibrasi, lalu dibuat scatter plot untuk mendapatkan persamaan regresi dan korelasinya. Namun, ternyata NH3 tidak dapat dijadikan ukuran kebersihan kandang kuda karena kandang kuda URR kebersihannya sangat terjaga. MH-Z19 dapat digunakan untuk pengukuran gas CO2 karena akurasinya sebesar 96±3% setelah kalibrasi. BME-680 tidak dapat mengukur gas CO2 dan PM2.5 karena korelasinya sangat kecil., Diseases in animals can be caused by problems with the cleanliness of cages in which various gases, such as NH3 and CO2. Therefore, it is necessary to implement IoT to measure NH3 and CO2 gas levels which will make it easier to monitor gas levels in the cage. This research was conducted at the URR SKHB IPB and used the stages of needs identification, design, implementation and testing. In this research, the hardware used was ESP32, MICS-6814, MICS-4514, BME-680, and MH-Z19. With various types of sensors, testing is needed to compare their accuracy. Testing was carried out for six days and carried out in two stages, namely calibration and accuracy measurement. After that, data from one day of testing was taken which was considered the most complete before and after calibration, then a scatter plot was made to get the regression equation and correlation. However, it turns out that NH3 cannot be used as a measure of the cleanliness of a horse stable because the URR horse stable is very clean. MH-Z19 can be used for measuring CO2 gas because its accuracy is 96 ± 3% after calibration. BME-680 cannot measure CO2 and PM2.5 gases because the correlation is very small.
Keyword: horse stable, sensor, karbon dioksida, kandang, carbon dioxide, sensors, animal welfare, ammonia, kesejahteraan hewan, Internet of Things (IoT), amonia, cages

Judul: Ground Level Ozone Measurement Device Design with Internet of Things Based
Abstrak: Pencemaran udara merupakan risiko gangguan kesehatan terbesar di dunia. Namun jumlah Stasiun Pemantauan Kualitas Udara Ambien (SPKUA) di Indonesia masih terbatas, sehingga menyebabkan pemantauan kualitas udara masih belum optimal. Kualitas udara di Indonesia digambarkan dengan Indeks Status Pencemaran Udara (ISPU). Ozon merupakan salah satu parameter ISPU yang memiliki dampak buruk bahkan saat ISPU berkategori baik dan termasuk parameter dengan intensitas tertinggi terbanyak pada SPKUA. Penelitian ini bertujuan membuat alat pemantauan konsentrasi ozon udara ambien yang mengirim data melalui jaringan nirkabel dengan komponen yang ekonomis. Penelitian ini menggunakan sensor MQ131, sensor DHT22, mikrokontroler STM32 Blue Pill, dan modul Lora. Alat dilengkapi catu daya, pelindung alat, dan juga dapat menampilkan hasil pemantauan yang memberikan gambaran dan informasi tambahan terkait kualitas udara lokasi pemantauan pada website. Berdasarkan pengujian alat yang dilakukan, diketahui bahwa pada lokasi pengujian rata-rata kadar ozon udara ambien adalah 20,33 µg/m3 dengan rata-rata persen kesalahan 2,34%, yaitu bernilai ISPU 8 dan status ISPU berkategori baik., Air pollution is the world's largest health problem. However, air quality monitoring in Indonesia is still not optimal due to the lack of ambient air quality monitoring stations. Air quality in Indonesia is explained by the air pollution status index, abbreviated as ISPU. Ozone is one of the parameters of ISPU that adversely affects even when ISPU is in a good category and one of the highest intensity parameters at the ambient air quality monitoring stations. This research aims to build an ambient air ozone concentration system that sends data over a wireless network with components that are capable, but cheaper. This research uses MQ131 sensor, DHT22 sensor, STM32 Blue Pill microcontroller and Lora module. Equipped with a power supply, casing, and displaying monitoring results that provide an overview and additional information related to air quality of the monitoring location on the website. Based on the device testing, it is known that at the monitoring location the average ambient air ozone level is 20.33 µg/m3 with an average percent of error is 2.34%, which is an ISPU value of 8 and the ISPU status is categorized as good.
Keyword: air quality, internet of things, ozone, website, wireless sensor network

Judul: Konstruksi Hukum Grup Kurva Eliptik Atas F3m
Abstrak: Elliptic curves upon F3m can be divided in two cases, i.e. supersingular and nonsupersingular case. Based on group laws on elliptic curves, a new arithmetic upon F3m can be formulated as an addition process of two random points on the curve. This addition process can then be applied to the ElGamal algorithm.
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