This study aims to identify the type of coffee powder aroma from the coffee beans blending using backpropagation artificial neural network (ANN). Backpropagation is a controlled training implementing a weight adjustment pattern to achieve a minimum error value between the the predicted and the actual output. Within this study, the coffee aroma testing utilized electronic tasting sensor system consisted of 4 sensors namely TGS 2611, TGS 2620, TGS 2610 and TGS 2602. The coffee aroma monitoring and data collection in this system applied LabVIEW software as a virtual instrumentation. The testing result of this ANN was able to distinguish the coffee variety of Robusta, Arabica coffee powder and the one without any coffee aroma. The backpropagation architecture was formed by 3 layers consisting of 1 input layer with 4 input nerve cells, 1 hidden layer with 8 neural cells, and 2 output layers by applying the backpropagation training algorithm. The training data was taken from 70 data samples of each circumstance of coffee with 5 testing times. The results of the training and testing showed that the established backpropagation was capable to identify and differenciate the coffee powder in accordance with the given input with different average success rate;  91.96% for Robusta coffee, 100 % for Arabica coffee, and no 84.24% for without coffee aroma.

Smartphones are electronic devices that are widely used in the current modern era. Ranging from children to adults are using smartphones. Lack of knowledge from smartphone users makes the use of smartphones improperly exceeding the body's limits. This makes a variety of negative impacts of using a smartphone. One way to overcome this problem is to use an electrocardiograph (ECG) sensor. The use ECG is to determine the fatigue of smartphone users based on heart rate rhythm. The sensor used as fatigue detection is the type AD8232. The result of this process is a secure or insecure condition for using a smartphone. When BPM is worth 60 <BPM <120, the condition of smartphone users is safe, whereas when BPM <60 or BPM> 120, the condition of smartphone users is unsafe. Based on the results that have been tested, the longer the use of a smartphone, the value of the BPM will sharply be reduced.

Fatigue is a protection mechanism to avoid further damage, so that recovery occurs after a break. Fatigue (fatigue) is a subjective feeling. Work fatigue is a condition that is accompanied by a decrease in efficiency and the need to work. the effects of excessive activity result in fatigue. lack of knowledge results in excessive effects of fatigue. the way to overcome this problem is by utilizing an electrocardiograph (ECG) sensor. The use of electrocardiograph sensors (ECG) to determine the fatigue of smartphone users based on heart rate rhythm. The sensor used as a fatigue detection is the AD8232 type. The result of this process is safe or unsafe when using a smartphone. When BPM is worth 60 <BPM <120, the condition of smartphone users is safe, whereas when BPM <60 or BPM> 120, the condition of smartphone users is unsafe. Based on the results that have been tested on four samples there was a change in heart rate rhythm (BPM) during one hour and fifteen minutes of testing.

Tujuan dari penelitian ini adalah merancang dan membuat timbangan digital menggunakan sensor Load cell berbasis mikrokontroler dengan koneksi printer thermal. Perangkat keras yang digunakan untuk merealisasikan sistem terdiri dari sensor Load cell, keypad, LCD, Modul I2C, Printer Thermal dan Arduino. Untuk menampilkan dan menyimpan data dalam bentuk excel melalui aplikasi Parallax Data Acquisition tool (PLX-DAQ). Dari hasil pengujian diperoleh Load cell beban 0 kg - 3 kg setiap kenaikan berat beban sebesar 1 kg maka terjadi perubahan tegangan keluaran sekitar 0,5 mV. Semakin besar beban yang diukur makan semakin besar pula tegangan outputnya. Tingkat kesalahan pengukuran rata-rata 2,01%, sedang tingkat keberhasilan timbangan digital 97,99%. Secara keseluruhan alat dapat berfungsi dengan baik.

WiMAX is Broadband Wireless Acces (BWA) technology evolution with interactive fitur. WiMAX not only have issue about data speed problem but also about open standard. It means, communications between WiMax instruments between some different vendors are not proprietary. WimAX orientations are not only for fixed market, but also for portable and mobile market. WiMAX with high speed data (up to 70 MBps) is suitable to apply in last mile broadband connections, backhaul and high speed enterprise.