ABSTRAKPendeteksian golongan darah dilakukan untuk mengetahui golongan darah yang dimiliki. Hingga saat ini pendeteksian golongan darah masih dilakukan oleh petugas analis kesehatan menggunakan kemampuan mata manusia. Pada penelitian ini dilakukan perancangan alat pendeteksi golongan darah menggunakan ESP32-CAM. Alat ini menggunakan kamera OV2640 untuk menangkap citra, yang diproses menggunakan Tensorflow Object Detection API sebagai framework untuk melatih serta mengolah citra darah. Model latih akan digunakan pada kondisi pendeteksian langsung dan ditampilkan dalam bentuk jendela program golongan darah beserta tingkat akurasinya. Dalam penelitian ini pengujian dilakukan menggunakan 20 dataset dengan jarak pengukuran antara ESP32-CAM dengan citra golongan darah yaitu sejauh 20 cm. Hasil yang didapat selama pengujian mayoritas golongan darah yang dapat terdeteksi adalah golongan darah AB.Kata kunci: ESP32-CAM, Tensorflow, Python, Golongan Darah, Pengolahan Citra ABSTRACTBlood group detection is performed to determine the blood group. Currently, in detecting blood type, it still relies on the ability of the human eyeThis paper presents a human blood group detection device using ESP32-CAM. This tool uses ESP32-CAM to capture images, and the Tensorflow Object Detection API as a framework used to train and process an image. The way this tool works is that the ESP32-CAM will capture an image of the blood sample and then send it via the IP address. Through the IP Address, the python program will access the image, then the image will be processed based on a model that has been previously trained. The results of this processing will be displayed in the form of a window program along with the blood type and level of accuracy. In this study, testing was carried out based on the number of image samples, the number of datasets, and the measurement distance. The ideal measurement distance between the ESP32-CAM and the blood group image is 20 cm long. The results obtained during the testing of the majority of blood groups that can be detected are AB blood group.Keywords: ESP32-CAM, Tensorflow, Python, Blood Type, Image Processing

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In general, the parking doorstop system used in Indonesia, still using a cable or bluetooth to connection to a button or switch for open and close the parking doorstop. To record the identity of the vehicle still using manual paper, and to enter and leave the vehicle still using the operator. This results in a quite solid vehicle queue. The parking system above is not reliable for a faster parking system. So this research will utilize Visible Light Communication technology by utilizing the characteristics of several photodiode sensors and lighting to send and receive text data from Visible Light Communication (VLC). In this parking system will utilize vehicle lights in the form of Light Emitting Diode (LED) lights, and use Pulse Width Modulation (PWM) communication from the sender with a frequency of 490 hz with time efficient. In this research, vehicle that will be used is a motorcycle. The results of the study for receiving and sending data using PWM modulation which can still be read and received correctly are at a distance of 220cm during the day with a value of 245 and 290cm lux at night with a value of 163 lux. receipt of data from the sender that is equal to 0.28 seconds. In this study the data transmission angle was changed and obtained the recipient response value at vulnerable distances of 50 to 90cm with effective data that is at an angle of 5 degrees.

WiMAX IEEE 802.16e merupakan non-line of sight (NLOS) Broadband Wireless Access (BWA) yang dikeluarkan oleh WiMAX Forum yang dikembangkan berdasarkan standar IEEE 802.16. Teknologi ini mampu diimplementasikan untuk mobile wireless access yang dapat memenuhi kebutuhan layanan data dengan bandwidth yang cukup besar 20 MHz, coverage yang luas 50 km, dengan bitrate yang tinggi 75 Mbps. Pergerakan user/mobile station akan mempengaruhi kualitas layanan suara pada jaringan WiMAX IEEE 802.16e yaitu akan terjadinya efek doppler spread yang mengakibatkan perubahan frekuensi terhadap mobile station yang bergerak. Penelitian mengenai pengaruh pergerakan user/mobile station terhadap kualitas sinyal suara pada jaringan WiMAX IEEE 802.16e ini dilakukan dengan cara membuat simulasi sistem transmisi WiMAX 802.16e yang dilewatkan pada kanal yang bersifat multipath fading karena bersifat komunikasi non-line of Sight (NLOS) dengan cara terdistribusi rayleigh dan noise AWGN dengan pemodelan kanal propagasi SUI (Stanford University Interim). Parameter kecepatan user/mobile station yang disimulasikan mulai 0 km/jam (user statis), <15km/jam (user berjalan kaki), 16-50 km/jam (user berkendaraan sedang), sampai dengan 51-120 km/jam (user kecepatan tinggi). Hasil simulasi dan analisa memperlihatkan bahwa kecepatan pergerakan user sangat berpengaruh terhadap fluktuasi fading pada kanal rayleigh. Berdasarkan standar komunikasi digital yaitu nilai BER sebesar 10, nilai Eb/No yang dihasilkan dibawah 12 dB untuk modulasi BPSK kecepatan user bisa mencapai 50 km/jam, sementara untuk QPSK kecepatan maksimal user dibawah 50 km/jam, dan 8PSK kecepatan user dibawah 30 km/jam. Sehingga modulasi yang paling baik untuk system ini adalah BPSK.

In Society 5.0, the central concept is Human-Centered and supported by super-smart technology that frees humans from burdened workloads and allows humans to innovate new values ??without limits. All of this results in prosperity for everyone and that is the achievement of the global Sustainable Development Goals (SDGs). The application of this concept must be realized by all stakeholders of the nation, including universities that are responsible for the education of the younger generation. However, the implementation of sustainability university has been very numerous, varied, and there is no clear definition in the literature or practice. This study aims to develop a Human-Centered sustainable model that can be used as a reference in implementation. The research method used is qualitative by conducting library research, interviews and observations. Respondents and objects of interviews and observations are Telkom University’s sustainability teams and programs/ projects. The result of this study is a Human-Centered sustainable university model that is recommended as an implementation reference, not only for Telkom University but also for other universities with similar characteristics. Keywords—Human-Centered; Sustainability; Tridharma; University; Model