Nowadays medical science has developed rapidly, diagnostic and treatment techniques have provided life expectancy for patients. One way of examining brain tumor sufferers is radiological examination that needs to be done, including MRI with contrast. MRI brain images are useful for seeing tumors in the initial steps of diagnosis and are very good for classification, erosions / destruction lesions of the skull. Smoothing image processing, segmentation with otsu method and feature extraction are carried out to facilitate the training and testing process. This study, will apply texture analysis with the parameters contrast, correlation, energy, homogenity to distinguish the texture of brain tumor images and normal so as to produce a standard gold value based on existing texture characteristics. Training and testing of texture features using backpropagation method of artificial neural networks with variations in learning rate values so that it is expected to obtain a classification of the image conditions of patients with brain tumors. The data used are 29 brain images that produce classification accuracy of 96.55%.Keywords : MRI images, brain tumors, textur, backprogation

A good and feasible centrifuge is needed in the world of health, therefore a digital tachometer is needed to calibrate a centrifuge. Digital tachometer is a measuring instrument used to measure the rotation speed of a motor. This tachometer will be tested to function by being compared to using Digital Laser Photo Tachometer. This tachometer will display the number of rotations per minute of a motor according to the speed setting on the centrifuge using the output of this E18-D80NK sensor which will later be processed by the Arduino Nano. As for this feature charger and data storage mode, so that user can save the data of measurement results on SD Card, and beside that user can also be a way of charging when after usage or before usage. At testing the tool used point settings 1000, 2000, 3000, 4000, 5000, and 12000 RPM. Based on the measurement results of centrifuge using tachometer module and comparison tachometer have average percentage of error varying at each setting point. The smallest error 0.8% at the setting Point 3000 RPM, while the largest error 4.9% at the setting point 1000 RPM. The Tacometer error value on this Centrifuge measurement is still within the tolerance limit of ± 10%

Di era digital saat ini, peran technopreneur semakin krusial dalam mendorong inovasi dan pertumbuhan ekonomi di Indonesia, terutama dalam menghadapi persaingan global yang semakin ketat. Usaha digital menjadi salah satu pilar utama dalam perkembangan ekonomi nasional, namun tantangan seperti kurangnya infrastruktur teknologi dan akses modal masih menjadi hambatan bagi technopreneur untuk mengoptimalkan potensi mereka. Penelitian ini bertujuan untuk mengkaji bagaimana technopreneur berkontribusi dalam menciptakan peluang usaha baru, meningkatkan daya saing, serta mengatasi tantangan yang dihadapi oleh industri digital di Indonesia. Penelitian ini menggunakan desain kuantitatif, dengan pengumpulan data melalui teknik purposive sampling terhadap 100 technopreneur (pelaku bisnis yang memanfaatkan teknologi) dengan menyebarkan kuesioner yang berisi sepuluh pertanyaan mengenai peran technopreneur dalam pengembangan bisnis digital di Indonesia. Hasil penelitian menunjukkan Hasil penelitian menunjukkan bahwa technopreneur memainkan peran yang signifikan dalam transformasi digital. Kesimpulan penelitian ini adalah technopreneur memiliki peran penting dalam mendorong inovasi dan pertumbuhan ekonomi digital di Indonesia. Namun, diperlukan dukungan yang lebih baik dari pemerintah dan pemangku kepentingan lainnya untuk memfasilitasi technopreneur dalam mengembangkan potensi mereka secara optimal.

This review explores the benefits of Mesenchymal Stem Cell (MSC) therapy concerning Down syndrome (DS), cognitive and behavioral disorders, and other related physiological complications. Two pediatric patients with DS participated in this study, receiving MSC therapy over six months through a qualitative case study approach. Patient A was a 5-year-old male experiencing moderate developmental delays and recurrent infections. Patient B was a 6-year-old female facing mild intellectual disabilities and difficulties in social interaction. The initial and follow-up assessments conducted at baseline, three months, and six months after treatment revealed that patients A and B significantly improved in linguistic abilities, attention, social interactions, and motor coordination. Moreover, enhancing inflammatory indices, such as CRP and IL-6, indicated effective regulation of the immune response and reduced inflammation. Both patients adhered to the therapy without any reported side effects. Thus, the findings highlight the potential neuroprotective and immunomodulatory effects of MSC therapy, suggesting it may serve as a viable adjunct treatment for DS. However, due to the limited number of participants and the relatively short observation period, some limitations, such as the small group size and brief study duration, should be acknowledged, necessitating further larger-scale trials to validate these results and establish protocols. This study adds to the existing literature on MSCs in neurodevelopmental disorders and aims to provide a foundation for exploring new treatment options for DS.

Gout is the final metabolite of purines. Purines are part of the nucleic acids found in the nuclei of body cells. Increased gout can cause rheumatic pain in the joint area and is often associated with extreme pain for those exposed to the disease. Doctors need to monitor so that they can assist patients in monitoring and treatment. Gout detection devices are only available in hospitals, clinics, health centers, laboratories, and equipment that was previously portable but could not be controlled directly by a doctor. The purpose of this study is to help make it easier for doctors to monitor patients with gout remotely or telemedicine via the internet. The research method uses blood to determine gout levels using the Internet of Things. Data acquisition is carried out with a resistance sensor (Authocheck) which is processed by the Arduino microcontroller. The processed data is then sent to the ESP8266 web server via WiFi. The use of the Internet of Things as a data transmission method for online use does not require human-to-human interaction. The sensor resistance value in the analog range obtained is 441.03 to 782.32 with a sensor voltage of 1.91 to 3.82 volts. The measured gout level is between 4 mg/dL and 8 mg/dL. The percentage of measured data with an average accuracy of 95.74% and an average error rate of 4.26% for the seven test data. Data is displayed directly on the device's LCD screen and on a web server that sends data from the ESP8266. Keywords: gout, Internet of Things, resistance sensor (Autocheck), telemedicine, web server ABSTRAKAsam urat merupakan metabolit akhir dari purin. Purin adalah bagian dari asam nukleat yang ditemukan dalam inti sel tubuh. Asam urat yang meningkat dapat menyebabkan nyeri rematik di area persendian dan sering dikaitkan dengan rasa sakit yang luar biasa bagi yang terpapar penyakit. Dokter perlu memantau agar dapat membantu pasien dalam pemantauan dan pengobatan. Alat pendeteksi asam urat hanya terdapat di rumah sakit, klinik, puskesmas, laboratorium dan alat-alat yang sebelumnya portable namun tidak dapat dikontrol langsung oleh dokter. Tujuan dari penelitian ini membantu memudahkan dokter untuk memantau pasien dengan penyakit asam urat secara jarak jauh atau telemedicine melalui internet. Metode penelitian menggunakan darah untuk menentukan kadar asam urat menggunakan Internet of Things. Akuisisi data dilakukan dengan sensor resistansi (Authocheck) yang diproses oleh mikrokontroler Arduino. Data yang telah diproses kemudian dikirim ke web server ESP8266 melalui WiFi. Penggunaan Internet of Things sebagai metode transmisi data untuk penggunaan secara online tidak memerlukan interaksi manusia ke manusia. Nilai resistansi sensor pada rentang analog yang diperoleh adalah 441,03 hingga 782,32 dengan tegangan sensor 1,91 hingga 3,82 volt. Kadar asam urat yang diukur adalah antara 4 mg/dL dan 8 mg/dL. Persentase data terukur dengan akurasi rata-rata 95,74% dan rata-rata tingkat kesalahan 4,26% untuk tujuh data uji. Data ditampilkan langsung di layar LCD perangkat dan di web server yang mengirimkan data dari ESP8266.