No abstract

Alat ukur kadar gas metana (CH4), suhu dan kelembaban telah dilakukan. Alat ukur ini dapat diaplikasikan di perkebunan kelapa sawit di lahan gambut. Alat ukur ini terdiri dari sensor TGS2611, sensor SHT11, catu daya, voltage follower, mikrokontroler ATMega8535 dan LCD karakter 16x2. Tegangan keluaran sensor TGS2611 dikondisikan dengan rangkaian voltage follower kemudian dihubungkan dengan ADC internal mikrokontroler ATMega8535. Persamaan karakteristik sensor TGS2611 ditentukan dengan cara mengambil beberapa data kadar gas metana dan tegangan keluaran sensor pada datasheet sensor TGS2611 kemudian dibuat grafik persamaan karakteristiknya, sehingga diperoleh persamaan karakteristik sensor V=0,544ln(x)-2,113, dengan V adalah tegangan keluaran sensor dan x adalah kadar gas metana (ppm). Sensor SHT11 merupakan sensor digital yang sudah terkalibrasi pabrik, sehingga sensor SHT11 bisa langsung dihubungkan dengan catu daya, lalu data dari sensor dihubungkan ke mikrokontroler ATMega8535. Data hasil pengukuran ditampilkan pada LCD karakter 16x2 dan ditampilkan pada komputer dengan program yang telah dibuat menggunakan Delphi 7.0. Data hasil pengukuran juga tersimpan dalam database. Hasil pengukuran yang dilakukan selama 2 hari dengan durasi pengukuran satu setengah jam pada hari pertama dan 2 jam pada hari kedua menyatakan bahwa keberadaan gas metana tidak terdeteksi di kebun kelapa sawit yang ditanam di lahan gambut. Pada hari pertama pengukuran nilai suhu udara berkisar antara 28,8 0C – 30 0C dan nilai kelembaban udara berkisar 87,6% - 89,6%. Pada hari kedua pengukuran nilai suhu udara berkisar antara 26,6 0C - 33,1 0C dan nilai kelembaban udara berkisar 85,1% - 88,4%.

ABSTRACT− Thickness measurement tools of materials based on microcontroller has been done. This instrument consists of mechanical system, ultrasonic sensor HC-SR04, Arduino UNO microcontroller module, stepper motor, and MicroSD Card module. Ultrasonic sensor HC-SR04 is integrated with the Arduino UNO module and measurement data is displayed on LCD 20 X 4 characters, then the measurement result of date was stored automatically in MicroSD Card. The accuracy of the thickness meter is done by comparing between the measurement data from the thickness meter with the measurement manually. The measurement result of composite board thickness has 93,8% accuracy on flat composite and 50% on the uneven composite board test. KEYWORD : Arduino UNO, composite board, thickness, ultrasonic sensor HC-SR04 I. PENDAHULUANPapan partikel merupakan salah satu jenis produk komposit yang terbuat dari partikel-partikel kayu atau bahan berlignoselulosa lainnya yang diikat dengan perekat sintesis kemudian dikempa panas (Maloney 1993). Papan partikel dapat ditinjau dari segi pengempaan, kerapatan, kekuatan (sifat mekanis), macam perekat, susunan partikel, arah partikel, pengolahan, dan bentuk. Papan partikel umumnya berbentuk datar dengan ukuran relatif panjang, lebar, tipis, dan mempunyai bentuk tertentu tergantung pada acuan (cetakan) yang digunakan (Sutigno 1994).Untuk mengukur ketebalan selama ini digunakan jangka sorong dan mikrometer sekrup. Jangka sorong adalah alat ukur dengan tingkat ketelitian 0.1 mm. Sedangkan mikrometer sekrup dapat digunakan untuk mengukur benda mencapai ketelitian 0,01 mm (Darmawan 1984 ABSTRACT− Thickness measurement tools of materials based on microcontroller has been done. This instrument consists of mechanical system, ultrasonic sensor HC-SR04, Arduino UNO microcontroller module, stepper motor, and MicroSD Card module. Ultrasonic sensor HC-SR04 is integrated with the Arduino UNO module and measurement data is displayed on LCD 20 X 4 characters, then the measurement result of date was stored automatically in MicroSD Card. The accuracy of the thickness meter is done by comparing between the measurement data from the thickness meter with the measurement manually. The measurement result of composite board thickness has 93,8% accuracy on flat composite and 50% on the uneven composite board test.

Sound distribution and background noise, is an important aspect in the making of study-purposed room. Properly distributed sound would ensure everyone in the room to hear the same quality of sound. Good sound quality is defined as a sound that did not diminish its character (sound intensity and sound clarity) significantly to its sound source. In this research, has been fabricated an in-room sound distribution measuring instrument, based on the Arduino microcontroller that equipped with nRF24L01 to be wirelessly functionated. The fabricated measuring instrument consist of 4 transmitter devices and 2 receiver devices. The transmitter devices is an Arduino Pro Mini microcontroller that equipped with nRF24L01 and a sound sensor. The receiver devices is an Arduino Nano microcontroller equipped with nRF24L01, that connected to a PC, and an Arduino Pro Mini microcontroller equipped with nRF24L01 that connected to a speaker. The fabricated measuring instrument equipped with a Python 2.7-based acquisition software to acquire data in real time and store it in CSV (Comma Separated Value) format. Test was carried out to the transmitter devices that equipped with a sound sensor and the receiver device that connected to a speaker. The transmitter devices was compared with a standard sound level meter, and showed 0,65% - 1,24% of error percentage. The test made to receiver device showed that sound intensity of 100 dB could only be achieved with frequency of 2000 Hz and 3000 Hz. On  the measurement of sound distribution, the primary data of Einstein Hall sound distribution has been obtained, with 16 sound level measuring point, 7 variations of sound source position, and 5 variations of sound source frequency.The background noise measurement of Einstein Hall of the FMIPA ULM, showed the value varied between 57 dB – 60,56 dB.

<p>Cervical cancer is the most common gynecologic cancer in women. Cervical cancer and the normal cervix usually have similar attenuations on CT images which are obtained. The normal cervix and the tumour cannot be distinguished on normal CT images. CT image of cervical cancer is used by the experts for the analysis of diseases. In this research study, CT image of cervical cancer is done with process of image segmentation and coloring. The process of image segmentation is done after the image sharpening process and the determination of cervical cancer’s area. Fuzzy C-Means is used as the algorithm for image segmentation. The colors of image segmentation result are changed by program module. The result is the colors of image segmentation uniform with the other results. The image is overlayed with image result of image sharpening process. Coloring image purposes are to distinguish between cervical cancer’s area and normal organ and to localize the existence of cervical cancer. Based on the doctor’s observation, the empirical rate of testing 20 samples on the program is 100%.</p>