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All Journal Prosiding Seminar Nasional Sains Dan Teknologi Fakultas Teknik Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Journal of Applied Information, Communication and Technology (JAICT) Techne : Jurnal Ilmiah Elektroteknika Elektrika Seminar Nasional Hasil Riset dan Pengabdian (SNHRP)

Andi Kurniawan

Teknik Elektro, Universitas Semarang

Author-ID : 3401583

Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering Other

Published : 14 Documents Claim Missing Document

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PERANCANGAN TRAINER PID ANALOG UNTUK MENGATUR KECEPATAN PUTARAN MOTOR DC M. Subchan Mauludin; Andi Kurniawan
Prosiding SNST Fakultas Teknik Vol 1, No 1 (2013): PROSIDING SEMINAR NASIONAL SAINS DAN TEKNOLOGI 4 2013
Publisher : Prosiding SNST Fakultas Teknik

Show Abstract | Download Original | Original Source | Check in Google Scholar

PID (Proportional Integral Derivative) merupakan kontroler untuk menentukan presisi suatu sistem instrumentasi dengan karakteristik adanya umpan balik pada sistem tersebut. Didalam suatu sistem kontrol mengenal adanya beberapa macam aksi kontrol, diantaranya yaitu aksi kontrol proporsional, aksi kontrol integral dan aksi kontrol derivative . Masing-masing aksi kontrol ini mempunyai keunggulan-keunggulan tertentu, aksi kontrol proporsional mempunyai keunggulan risetime yang cepat, aksi kontrol integral mempunyai keunggulan untuk memperkecil error , dan aksi kontrol derivative mempunyai keunggulan untuk memperkecil derror atau meredam overshot/undershot. Untuk itu agar dapat menghasilkan output dengan risetime yang tinggi dan error yang kecil kita dapat menggabungkan ketiga aksi kontrol ini menjadi aksi kontrol PID. Trainer Kendali PID Analog menggunakan IC 741 sebagai perangkat op Amp. Tujuan dari penelitian ini adalah untuk mendapatkan nilai Kp, Ki, dan Kd yang ideal sehingga dapat mengendalikan plant motor DC. Kata Kunci: Risetime, error, overshoot, PID Analog, IC 741, motor DC

RANCANGAN ANTENA TELEVISI MICROSTRIP MENGGUNAKAN FIBERGLASS EPOXY M. Subchan Mauludin; Andi Kurniawan
Prosiding SNST Fakultas Teknik Vol 1, No 1 (2014): PROSIDING SEMINAR NASIONAL SAINS DAN TEKNOLOGI 5 2014
Publisher : Prosiding SNST Fakultas Teknik

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Teknologi mikrostrip adalah Antena susunan berupa sisipan dua buah lapisan konduktif yang saling paralel yang dipisahkan oleh suatu substrat dielektrik. Konduktor bagian atas adalah potongan metal yang tipis (biasanya tembaga atau emas), aplikasi antena ini biasanya digunakan dalam sistem radar, GPS dan lainnya. Hal ini dikarenakan antena dengan basis teknologi ini memiliki ukuran yang relatif lebih kecil dengan kehandalan unjuk kerja yang baik. Dengan menggunakan teknologi berbasis mikrostrip diharapkan akan membuat suatu antena dengan lebih handal dan kecil yang bisa digunakan untuk menggantikan peran dari antena indoor maupun outdoor pada penerimaan sinyal televise. Penelitian ini menggunakan bahan pengganti dielektrik antena yakni berupa PCB. Bahan dielektrik antena dari bahan emas atau tembaga menjadi PCB epoxy double layer dapat lebih ekonomis . Untuk menambah unjuk kerja antenna, dengan menambahkan elemen array pada antenna menyesuaikan keadaan ataupun topologi daerah pemasangan antena. Keunggulan dari antena ini selain kecil bentuknya, harganya juga cukup terjangkau dan tidak perlu pemasangan diluar ruangan (outdoor). Kata-Kata Kunci : Antena,mikrostrip,PCB, epoxy double layer,elemen array.

PENGATURAN SUHU UNTUK MENGATASI BAYI TERBAKAR BERBASIS ARDUINO DAN LABVIEW PADA INFANT INCUBATOR Dicky Rivaldo Ramdani; Andi Kurniawan Nugroho; Budiani Destyningtias
Elektrika Vol 11, No 1 (2019): April 2019
Publisher : Universitas Semarang

An incubator is a place designed to maintain a certain temperature condition. Incubators are often found in hospitals and farms. In hospitals, the Incubator functions to warm newborns, or premature babies. On farms, this incubator is usually used for egg hatchers and as a place for newly hatched chicks. Incubators are usually in the form of a room or box (box) of a certain size. In this research will be designed a prototype to modify the infant incubator by adding sensors to regulate the temperature and control using a Arduino microcontroller. This incubator has a measurement system and temperature regulation using LM35 sensors, heaters and fans as actuators that can cool the incubator room with Arduino as controlling. Temperature setting will be monitored by LABVIEW. In the Arduino system a program can be set up that can adjust the temperature . The temperature required by the premature baby, so that it can maintain the stability of the temperature. If the temperature in the incubator is smaller than the temperature setting, the heater will turn on and the fan speed will decrease to increase the temperature according to the settings entered. If the temperature in the incubator is greater than the temperature setting entered, the heater will turn off. The results showed that the linear regression value between the temperature values with the ADC value of y = 0.4883x with a determination coefficient of 1, while the linear regression value between the temperature with a voltage value of y = 99.481x with a coefficient of 0.9984.Keywords: Infant Incubator, temperature sensor, LM35.

RANCANG BANGUN AUTOMATIC RAIN RECORDING (ARR ) BERBASIS DEVELOPMENT BOARD MIKROAVR128 Andi Kurniawan Nugroho; Edy Susilo; Diah Setyati Budiningrum
Elektrika Vol 9, No 1 (2017): April 2017
Publisher : Universitas Semarang

The right use of rain can provide many benefits. For this reason, mapping of rainfall areas is needed. This is intended to determine the level of disaster preparedness for each region. In mapping, a tool is needed to calculate the rainfall that falls. In the market there are only manual measuring devices, while rainfall gauges are not available which can measure automatically and directly but additional equipment is needed separately. In addition, the measurement results cannot be seen by the public. Therefore we need a tool that works automatically that can display measurement results directly and can be seen directly by the public. Thus the community can see and measure rainfall that falls. In this plan Automatic Rain Recording is used by using a proximity sensor placed on top of a measuring cup and the sensor is connected to the AVR128 Development Board as the control center to convert sensor data into ADC (Analog to Digital Converter) data. This tool is connected with a microSD with a capacity of 8Gbyte to store rainfall level data. AVR128 will store every 2 minutes with a total of 275,368 data and 382 days of storage capability.Keywords : rainfall, ARR, ADC, AVR128, mikroSD

RANCANG BANGUN ROBOT PEMADAM API BERODA DENGAN NAVIGASI SENSOR KOMPAS BERBASIS ATMEGA 128 Yusuf Nurul hilal; Sri Heranurweni; Andi Kurniawan N
Elektrika Vol 9, No 1 (2017): April 2017
Publisher : Universitas Semarang

CMPS03 an electronic compass sensor navigation sensor that helps in determining the direction toward the robot and in tracing the wall or room that works according to the principle of the compass in general. CMPS03 electronic compass sensor has two sensors that will detect ferrous magnetic Earth's magnetic field and also has a range of angles 360Ëš, the resulting data is then sent to the microcontroller Keywords: Compass Sensor, Robot, and Microcontroller.

RANCANG BANGUN TACHOMETER DIGITAL BERBASIS ARDUINO DILENGKAPI CHARGING DAN MODE PENYIMPAN DATA Imam Tri Harsoyo; Andi Kurniawan Nugroho; Nuriman Nuriman
Elektrika Vol 11, No 2 (2019): Oktober 2019
Publisher : Universitas Semarang

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%

Analisa Citra Medis Pada Pasien Stroke dengan Metoda Peregangan Kontras Berbasis ImageJ Budiani Destyningtias; Andi Kurniawan N; Sri Heranurweni
Elektrika Vol 10, No 1 (2018): April 2018
Publisher : Universitas Semarang

Penelitian ini bertujuan mengembangankan teknologi pengolahan citra medis terutama citra medis CT Scan penderita stroke. Dokter dalam menentukan tingkat keparahan pasien stroke biasanya menggunakan citra medis CT scan dan mengalami kesulitan dalam menginterpretasikan luasan cakupan perdarahan.Solusi yang digunakan dengan peregangan kontras yang akan membedakan jaringan sel, tulang tengkorak dan jenis perdarahan. Penelitian ini menggunakan peregangan kontras dari hasil citra CT Scan yang dihasilkan dengan terlebih dahulu mengubah Citra DICOM menjadi citra JPEG dengan menggunakan bantuan program ImageJ. Hasil penelitian menunjukkan bahwa metode histogram ekualisasi dan analisis tekstur statistik dapat digunakan untuk membedakan yang normal MRI dan abnormal MRI yang terdeteksi stroke. Kata Kata Kunci : Stroke, MRI , Dicom, JPEG, ImageJ, Peregangan Kontras

KLASIFIKASI POLA IMAGE PADA PASIEN TUMOR OTAK BERBASIS JARINGAN SYARAF TIRUAN ( STUDI KASUS PENANGANAN KURATIF PASIEN TUMOR OTAK ) Sri Heranurweni; Budiani Destyningtias; Andi Kurniawan Nugroho
Elektrika Vol 10, No 2 (2018): Oktober 2018
Publisher : Universitas Semarang

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

Rancang Bangun Alat Bantu Menentukan Arah Kiblat Sholat dan Pengingat Jumlah Rakaat untuk Penyandang Tunanetra Berbasis Arduino dengan Sensor Kompas HMC5883L Hidayatulloh Patmin; Andi Kurniawan Nugroho; Puri Muliandhi
Techné : Jurnal Ilmiah Elektroteknika Vol. 21 No. 2 (2022)
Publisher : Fakultas Teknik Elektronika dan Komputer Universitas Kristen Satya Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31358/techne.v21i2.325

Pada dasarnya setiap manusia di ciptakan oleh Allah SWT di dunia ini khususnya umat yang beragama Islam di wajibkan untuk melaksanakan sholat 5 waktu. Para penyandang tunanetra yang beragama Islam seringkali mengalami kesulitan untuk mencari arah kiblat saat hendak melaksanakan sholat. Hal ini terjadi karena penyandang tunanetra tidak dapat melihat dan menentukan arah kiblat dengan pas. Kebutuhan sistem pendeteksi arah kiblat dan pengingat jumlah rakaat untuk penyandang tunanetra sangat perlu untuk bantuan sholat. Untuk mengatasinya maka dibuatlah sistem pendeteksi arah kiblat dan pegingat jumlah rakaat untuk penyandang tunanetra berbasis arduino. Dari hasil analisa yang dibutuhkan bahwa sistem yang dibutuhkan adalah yang dapat mendeteksi arah kiblat serta mejadi pengingat jumlah rakaat yang sudah dikerjakan. Sistem dirancang dan dibangun menggunakan Arduino Uno dan Arduino Nano sebagai mikrokontroler, Sensor Kompas HMC5883L dan Sensor Infrared sebagai pencari arah kiblat dan pendeteksi jumlah rakaat. Df player mini sebagai output untuk mempermudah para penyandang tunanetra, saat menggunakan sistem ini dirancang apabila Sensor mendeteksi arah kiblat akan mengeluarkan suara yang sudah di setting begitu juga untuk pengingat jumlah rakaat sholat.

VEGETABLE TYPE CLASSIFICATION USING NAIVE BAYES ALGORITHM BASED ON IMAGE PROCESSING Hanny Nurrani; Andi Kurniawan Nugroho; Sri Heranurweni; Eko Supriyanto; Generousdi -
JAICT Vol 7, No 2 (2022)
Publisher : Politeknik Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32497/jaict.v7i2.3762

There are so many different varieties of vegetables in Indonesia that the sorting procedure presents difficulties. In an effort to expedite the introduction of smart farming in Indonesia, more agricultural assistance techniques will be created. Utilizing the Naive Bayes algorithm is one way that may be used to advance agriculture in Indonesia. Image processing consists of converting RGB images to grayscale images, segmenting images using the thresholding method, collecting image features based on the HSV average value and object area, and classifying pictures using the Naive Bayes algorithm. This research seeks to use image processing technologies to agricultural products, particularly vegetables. The system is comprised of a single picture captured by a digital camera. There were eight varieties of vegetables employed for the picture data, with a total of eighty consisting of 64 training data and 16 test data. Spinach, green chilies, red chilies, chayote, cucumber, eggplant, tomatoes, and carrots were the vegetables categorized. The categorization findings indicate that 87.5 % of the test values produced using this approach are accurate. This study demonstrates that the Naive Bayes method has a high degree of accuracy for the categorization of vegetables based on image processing. It is anticipated that the findings of this study would promote the implementation of smart farming 4.0 in Indonesia.

Co-Authors Agus Supriyanto Ari Endang Jayati Budiani Destyningtias Daniyah Daniyah Dicky Rivaldo Ramdani Edy Susilo Eko Supriyanto Generousdi - Hanny Nurrani Hidayatulloh Patmin Imam Tri Harsoyo La Ode Muhamad Idris M. Subchan Mauludin M. Subchan Mauludin Nuriman Nuriman Puri Muliandhi Setyati Budiningrum, Diah Sri Heranurweni Sri Heranurweni Sri Heranurweni Stefanus Christyan Aditama Yusuf Nurul hilal

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