The development of computer vision has expanded widely as there is a vast number of its applications in various aspects of daily life. One of its implementations is integrating the image processing technique on a prototype coffee machine based on the speech recognition system. This study aims to detect the requested coffee colour spoken by users which are black, middle and light. The sensor used in this research is a digital PC camera and the applied method is Multilevel Colour Thresholding. Of all experiments conducted, the image processing technique can work perfectly as the camera is able to identify the requested colour of the coffee solution. Furthermore, the system might be developed by improving the multilevel colour thresholding technique as well as advancing the hardware design in order to establish more robust coffee machine based on the requested colour.

The use of information technology in educational institutions be necessary for work to be efficient and flexible. The process of reporting student data and assessment results at SMA Negeri 1 Dharmasraya is still manual using paper (paper-based), and there is no specific storage for the database. To make reports on student learning outcomes and share resources easier then an information system was built on a client-server network using object-oriented programming with a centralized database so that the stored data can be organized. The build systems using the System Development Life Cycle waterfall model, which starts from the analysis, design, coding, testing, and maintenance. The results of this study are the establishment of a multiuser system that implements the use of client-server computer networks to process student grades.Key Words: Client-Server, Information Systems, OOP

This research aims to identify misalignment of the rotor dynamics based on sound spectrum characteristic. In this study, rotor dynamics consist of motor, shaft, coupling and bearings. Three types of misalignment were considered, namely parallel, angular, and combination misalignment. In order to obtain the best signal, microphones were used as sensors to capture sound signal placed on coupling and each bearing. The signal obtained was in time series. The sound signal in the time domain is then filtered to remove noise signals, which are then transferred to be signals in the frequency domain using Fast Fourier Transform (FFT). From the test results, it is found that in the case of parallel misalignment, the sound frequency spectrum is obtained with a peak amplitude at 2x rpm. The case of angular misalignment obtained a sound spectrum with a peak amplitude value and is dominant at 1x rpm than 2x rpm. Meanwhile, in the case of a combination of parallel and angular misalignment, a peak amplitude sound spectrum appears at 1x rpm and 2x rpm with relatively close spacing between the peaks of the sound spectrum. The result shows that sound signal can be used for identification of misalignment of the rotor dynamics.

Angka kematian Ibu hamil (AKI) karena preeklampsia masih cukup tinggi di Indonesia umumnya dan provinsi Bengkulu khususnya. Belum ada metoda yang efektif untuk mencegah terjadinya preeklampsia, tetapi deteksi dini dapat menolong untuk penanganan dan pengobatan yang cepat dan tepat. Monitoring kondisi kehamilan sangat penting, tetapi pandemi COVID-19 menyebabkan ibu hamil tidak dianjurkan untuk ke fasilitas kesehatan. Oleh karena itu dirancang sistem monitoring kondisi kehamilan untuk deteksi dini preeklampsia menggunakan metoda Certainty Factor berbasis Android. Sistem ini terdiri dari alat ukur tekanan darah dan sistem pakar. Alat ukur tensimeter menggunakan sensor tekanan MPX5500, filter high pass butteworth dan mikrokontroller Arduino terhubung ke smartphone android melalui Bluetooth. Sistem pakar akan mendiagnosa ibu hamil beresiko preklampsia atau hipertensi dalam kehamilan tanpa resiko preklamsia. Alat ukur tekanan darah yang dirancang untuk mendukung sistem, bekerja dengan rata-rata selisih terhadap pengukuran tensimeter aneroid sebesar 7,05 mmHg dengan galat 6,24 % pada tekanan sistolik dan 10,15 mmHg dengan galat 13,13 % pada tekanan diastolik. Hasil diagnosa sistem pakar memiliki akurasi sebesar 91,45 %. Sehingga dapat dikatakan bahwa sistem yang dirancang telah dapat digunakan.