Articles
<![CDATA[PKM Aplikasi Android Deteksi Pencurian Kendaraan untuk Tingkatkan Keamanan dan Kenyamanan Karangtaruna Gajahmada Gebangsari Semarang ]]>
<![CDATA[Munaf Ismail]]>;
<![CDATA[Sri Arttini Dwi Prasetyowati]]>;
<![CDATA[Achmad Sulchan]]>
<![CDATA[ E-Dimas: Jurnal Pengabdian kepada Masyarakat Vol 11, No 3 (2020): E-DIMAS ]]>
Publisher : <![CDATA[Universitas PGRI Semarang ]]>
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DOI: 10.26877/e-dimas.v11i3.4731
<![CDATA[Kasus pencurian kendaraan bermotor di daerah sekitar kampus lebih banyak dibanding dengan daerah lainya, termasuk lingkungan mitra Program Kemitraan Masyarakat (PKM) yaitu Karangtaruna Gajahmada Kelurahan Gebangsari Kecamatan Genuk Kota Semarang yang letaknya dekat dengan kampus UNISSULA. Jarak mitra PKM dengan kampus UNISSULA kurang lebih 2 Km. Banyak tempat usaha yang menyediakan kebutuhan mahasiswa seperti rumah kos, rumah makan, warnet, rental computer/photocopy dll. Hal ini meningkatkan jumlah motor/mobil disekitar Kelurahan Gebangsari, hal ini juga meningkatkan jumlah kasus pencurian motor/mobil. Pada tahun 2017 terjadi 23 kasus curanmor di kecamatan Genuk kota Semarang. Dari isolasi permasalahan lewat pertemuan dan diskusi tim PKM dengan Karangtaruna Gajah Mada muncul kesimpulan bersama untuk meningkatkan partisipasi masyarakat dalam menjaga keamanan lingkungan tidak hanya di bebankan kepada aparat keamanan saja. Peran aktif dari masyarakat dapat menjaga kendaraan pribadinya khususnya dan pada umumnya dapat menjaga keamanan lingkungan disekitarnya hal ini dapat mencegah dan mengurangi kasus pencurian kendaraan bermotor. Pemanfaatan teknologi tepat guna aplikasi android sebagai deteksi pencurian kendaraan bermotor (curanmor) pada masyarakat Kelurahan Gebangsari Semarang, untuk membantu meningkatkan kewaspadaan masyarakat guna menjaga keamanan lingkungan mitra PKM khususnya keamanan kendaraan bermotor milik masyarakat. Hasil dari abdimas ini adalah 1) Meningkatnya kewaspadaan karangtaruna dan masyarakat menjaga kendaraan pribadinya kususnya dan pada umumnya dapat menjaga keamanan lingkungan disekitarnya. 2) Meningkatnya sinergi karangtaruna, masyarakat dengan aparat keamanan. 3) Berkurangnya jumlah curanmor yang terjadi di lokasi mitra dari 23 kasus tahun 2017 menjadi 10 kasus yang terjadi periode Januari – Agustus 2019 berdasar data Polsek Genuk Semarang. Melalui kegiatan Program Kemitraan Masyarakat ini diharapkan dapat terus berjalan dan diimplementasikan untuk daerah yang lebih luas sehingga efek positifnya lebih dirasakan masyarakat banyak.]]>
<![CDATA[Aplikasi Mobile Untuk Pencegahan Pencurian Kendaraan Menggunakan Protokol IEEE 802.11 ]]>
<![CDATA[Munaf Ismail]]>;
<![CDATA[Jenny Putri Hapsari]]>;
<![CDATA[Sri Arttini Dwi Prasetyowati]]>
<![CDATA[ Setrum : Sistem Kendali-Tenaga-elektronika-telekomunikasi-komputer Vol 7, No 1 (2018): Edisi Juni 2018 ]]>
Publisher : <![CDATA[Fakultas Teknik Elektro - Universitas Sultan Ageng Tirtayasa ]]>
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DOI: 10.36055/setrum.v7i1.3308
<![CDATA[Angka kasus pencurian kendaraan bermotor (curanmor) di wilayah Indonesia masih tinggi. Menurut Kapolri sepanjang tahun 2017, aksi curanmor di wilayah Indonesia mencapai 28.623 kasus.Tingginya kasus curanmor membuat pemilik kendaraan bermotor perlu meningkatkan kewaspadaanya dan melengkapi kendaraan bermotor dengan peralatan keamanan tambahan. Penelitian ini menggunakan protokol IEEE 802.11 sebagai pemancar WiFi yang dipasang pada kendaraan dan aplikasi android sebagai penerima sinyal WiFi yang dipancarkan. Pemancar menggunakan mini router wifi yang mempunyai frekuensi 2,4 GHz, perangkat ini mempunyai jangkauan sinyal WiFi sampai 24 meter. Ketika ada indikasi kendaraan bermotor dicuri, kendaraan akan bergerak menjauh dan sinyal WiFi di aplikasi android penerima akan semakin kecil. Aplikasi android akan memberi notifikasi alarm kepada pemilik kendaraan. Apabila benar tejadi curanmor, pemilik kendaraan bisa mematikan kendaraanya dari jarak jauh memanfaatkan SMS (short message service) yang akan diterima oleh rangkaian GSM shield, selanjutnya arduino akan mematikan pengapian kendaraan dan menyalakan alarm speaker. Berdasarkan pengujian pada aplikasi, penggunaan protocol IEEE 802.11 mempunyai keakuratan jarak 8 meter, lebih baik dibanding dengan penelitian serupa yang menggunakan aplikasi berbasis GPS dengan keakuratan jarak 9,25 meter.]]>
<![CDATA[Implementation of Least Mean Square Adaptive Algorithm on Covid-19 Prediction ]]>
<![CDATA[Sri Arttini Dwi Prasetyowati]]>;
<![CDATA[Munaf Ismail]]>;
<![CDATA[Badieah Badieah]]>
<![CDATA[ JUITA : Jurnal Informatika JUITA Vol. 10 No. 1, May 2022 ]]>
Publisher : <![CDATA[Department of Informatics Engineering, Universitas Muhammadiyah Purwokerto ]]>
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DOI: 10.30595/juita.v10i1.11963
<![CDATA[This study used Corona Virus Disease-19 (Covid-19) data in Indonesia from June to August 2021, consisting of data on people who were infected or positive Covid-19, recovered from Covid-19, and passed away from Covid-19. The data were processed using the adaptive LMS algorithm directly without pre-processing cause calculation errors, because covid-19 data was not balanced. Z-score and min-max normalization were chosen as pre-processing methods. After that, the prediction process can be carried out using the LMS adaptive method. The analysis was done by observing the error prediction that occurred every month per case. The results showed that data pre-processing using min-max normalization was better than with Z-score normalization because the error prediction for pre-processing using min-max and z-score were 18% and 47%, respectively.]]>
<![CDATA[Neural network training for serial multisensor of autonomous vehicle system ]]>
<![CDATA[Eka Nuryanto Budisusila]]>;
<![CDATA[Sri Arttini Dwi Prasetyowati]]>;
<![CDATA[Bhakti Yudho Suprapto]]>;
<![CDATA[Zainuddin Nawawi]]>
<![CDATA[ International Journal of Electrical and Computer Engineering (IJECE) Vol 12, No 5: October 2022 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijece.v12i5.pp5415-5426
<![CDATA[This study aims to find the best artificial neural network weight values to be applied to the autonomous vehicle system with ultrasonic multisensor. The implementation of neural network in the system required long time process due to its training process. Therefore, this research is using offline training before implementing to online training by embedding the best network weight values to obtain the outputs faster according to desired targets. Simulink were used to train the system offline. Eight ultrasonic sensors are used on all sides of the vehicle and arranged in a serial multisensory configuration as inputs of neural network. With eight inputs, one sixteen-depth hidden layer, and five outputs, it was trained using the back-propagation algorithm of artificial neural network. By 100000 iterations, the output values and the target values are almost the same, indicating its convergency with minimum of errors. The result of this training is the best weights of the networks. These weight values can be implemented as fixed-weight in online training.]]>
<![CDATA[IMAGE PROCESSING FOR PERCENTAGE ANALYSIS OF VESSELS FOR VESSELS IN CORONARY HEART DISEASE PATIENTS ]]>
<![CDATA[Agung Satrio Nugroho]]>;
<![CDATA[Sri Arttini Dwi Prasetyowati]]>;
<![CDATA[Arief Marwanto]]>
<![CDATA[ Journal of Telematics and Informatics Vol 8, No 2 (2020) ]]>
Publisher : <![CDATA[Universitas Islam Sultan Agung ]]>
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DOI: 10.12928/jti.v8i2.
<![CDATA[Cardiovascular disease is the highest cause of death worldwide, for this reason early detection is important to reduce mortality due to heart disease and blood vessels, so that a program is needed to calculate the narrowing that occurs in blood vessels experienced in patients affected by coronary heart disease, so can make it easier for a doctor to analyze and give a medical decision whether to do the ring installation or just administering drugs for blood thinning. This research uses the development of image processing technology from angiographic results by utilizing cropping to determine the area to be analyzed and image segmentation, where image segmentation is in the form of a denoise as a mean filter and increases the transmission of the image to be analyzed and thresholding which is a way of emphasizing the image by changing the image to black and white. Where the narrowing area is obtained from counting the number of logical pixels 1 of the image area that has been blocked and has been reconstructed while the normal area is calculated from the number of pixels having logic 1 plus the pixel area having logic 1, logic pixel 0 is an area of the vessel that is not narrowed. The results showed that the narrowing of the vessels in patients experienced by patients affected by coronary heart can be measured how narrowing is experienced. Of the 11 patient data measured, there were 4 patient data that were compared with the measurement results of the angiography instrument with the highest obtained error value of 3.9% and the lowest error value of 0.1% with an average value of error 1.8% where the error value is still within the tolerance value. Keywords: image processing, vessels for vessels, coronary heart disease]]>
<![CDATA[Exploration of Generator Noise Cancelling Using Least Mean Square Algorithm ]]>
<![CDATA[Sri Arttini Dwi Prasetyowati]]>;
<![CDATA[Bustanul Arifin]]>;
<![CDATA[Agus Adhi Nugroho]]>;
<![CDATA[Muhammad Khosyi’in]]>
<![CDATA[ Journal of Electrical Technology UMY Vol 6, No 1 (2022): June ]]>
Publisher : <![CDATA[Universitas Muhammadiyah Yogyakarta ]]>
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DOI: 10.18196/jet.v6i1.14826
<![CDATA[Generator noise can be categorized as monotonous noise, which is very annoying and needs to be eliminated. However, noise-cancelling is not easy to do because the algorithm used is not necessarily suitable for each noise. In this study, generator noise was obtained by recording near the generator (outdoor signal) and from the room (indoor signal). Noise generator exploration is carried out to determine whether the noise signal can be removed using the Adaptive LMS method. Exploration was carried out by analyzing statistical signals, spectrum with Fast Fourier Transform (FFT) and Inverse FFT (IFFT), and analyzing the frequency distribution of the remaining noise. The results showed that the correlation coefficients were close to each other. Outdoor and indoor signals are at low frequency. The behavior of FFT and IFFT if described in two dimensions, namely real and imaginary axes, formed a circle with a zero center and has parts that come out of the circle. It confirms that noise-cancelling with adaptive LMS can be realized well even though some noise is still left. The residual noise has formed an impulse that showed normally distributed with mean=-0.0000735 and standard deviation =0.000735. This indicates that the residual noise was no longer disturbing.]]>
<![CDATA[SISTEM PENDETEKSI KETERSEDIAAN DAN LOKASI TEMPAT DUDUK PADA RUANGAN MENGGUNAKAN MOVABLE PASSIVE INFRA RED (PIR) ARRAY ]]>
<![CDATA[Ari Wibowo]]>;
<![CDATA[Sri Arttini Dwi Prasetyowati]]>;
<![CDATA[Suryani Alifah]]>
<![CDATA[ Elkom : Jurnal Elektronika dan Komputer Vol 15 No 2 (2022): Desember : Jurnal Elektronika dan Komputer ]]>
Publisher : <![CDATA[STEKOM PRESS ]]>
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DOI: 10.51903/elkom.v15i2.753
<![CDATA[Based on statistical data, every year there is an increase in population. This also happened to the increasing number of Catholics. The increase member in Saint Aloysius Church of Mojosongo isn’t accompanied by an increase of seating facilities, to solved this, a device was designed which will show seats that have been used or still empty through a viewer that will be placed near the entrance. The research method used in this study is a quantitative method. The number of seats used by in one block is 25 seats, the seat sample is 9 seats. Three (3) PIR sensors are placed above the row to the seat 2, where the direction of the PIR sensor is drived by a stepper motor with an angle is 22.61°. Detection alternated and sequentially starting from row A, row B and row C. In general, the seat detection system based on ATMEGA16 works according to the design. People can find an empty seat position by looking at the viewer (LED) and looking for LED lights that are not lit.]]>
<![CDATA[The Impact of Telemetry Received Signal Strength of IMU/GNSS Data Transmission on Autonomous Vehicle Navigation ]]>
<![CDATA[Muhammad Khosyi'in]]>;
<![CDATA[Sri Arttini Dwi Prasetyowati]]>;
<![CDATA[Bhakti Yudho Suprapto]]>;
<![CDATA[Zainuddin Nawawi]]>
<![CDATA[ Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Vol 10, No 4: December 2022 ]]>
Publisher : <![CDATA[IAES Indonesian Section ]]>
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DOI: 10.52549/ijeei.v10i4.3901
<![CDATA[This paper presents the effect of received signal strength on IMU/GNSS sensor data transmission for autonomous vehicle navigation. A pixhawk 2.1 flight controller is used to build the navigation system. Straight lines with back-and-forth routes were tested using two types of SiK telemetry: Holybro and RFD. The results of the tests show that when the RSSI value falls close to the receiver's sensitivity value, the readings of the gyro sensor data, accelerometer, magnetometer, and GNSS compass data are disturbed. When the RSSI signal collides with noise, the radio telemetry link is lost, affecting the accuracy of speed data and the orientation of autonomous vehicles. According to Cisco's conversion table, the highest RSSI on Holybro telemetry is -48 dBm, and the lowest is -103 dBm, with a receiver sensitivity of -117 and data reading at a distance of about 427 meters. While the highest RSSI value on RFD telemetry is -17 dBm and the lowest is -113 dBm, even the lowest value is above the receiver's sensitivity limit of -121 dBm with data readings at a distance of approximately 749.4 meters. RFD outperforms Holybro in terms of RSSI and sensitivity at low data rates. When reading distance data to reference distance data using Google Earth and ArcGIS, RFD telemetry has a higher accuracy, with an average accuracy of 98.8%.]]>
<![CDATA[PERANCANGAN MESIN PENGHANCUR LIMBAH MULTIPLEX DAN BLOCKBOARD DENGAN MEMPERTIMBANGKAN ASPEK ERGONOMI DAN EKONOMI ]]>
<![CDATA[Akhmad Syakhroni]]>;
<![CDATA[Rieska Ernawati]]>;
<![CDATA[Sri Arttini Dwi Prasetyowati]]>;
<![CDATA[Iqbal Sobri Bagasghani]]>
<![CDATA[ RADIAL : Jurnal Peradaban Sains, Rekayasa dan Teknologi Vol. 10 No. 2 (2022): RADIAL: JuRnal PerADaban SaIns RekAyasan dan TeknoLogi ]]>
Publisher : <![CDATA[Universitas Bina Taruna Gorontalo ]]>
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DOI: 10.37971/radial.v10i2.290
<![CDATA[Abstrak: Perancangan Mesin Penghancur Limbah Multiplex dan Blockboard dengan Mempertimbangkan Aspek Ergonomi dan Ekonomi. Meningkatnya pesanan furniture CV. Bahana Raya mengakibatkan melimpahnya limbah kayu. CV. Bahana Raya menghasilkan limbah potongan multiplex dan blockboard rata-rata 5-7 m3 /hari. Limbah multiplex yang berupa potongan dan serpihan kayu tersebut, selama ini hanya digunakan sebagai bahan bakar untuk memasak dan sisanya dibakar begitu saja sebagai sampah. Limbah multiplex dan blockboard yang berupa potongan-potongan dan serpihan kayu yang tidak lagi dimanfaatkan. Penelitian ini dilakukan untuk memberikan solusi dalam penanganan limbah yang ada berupa penciptaan mesin Penghancur limbah multiplex dan blockboard. Peneliti ingin mengembangkan alat atau mesin yang mampu mengatasi semua kelemahan tersebut. Dengan mempertimbangkan aspek ergonomi dan ekonomi, peneliti dapat menentukan merancang mesin yang sesuai dengan kebutuhan dan menyesuaikan postur pekerja. Hasil dari penelitian ini adalah terciptanya sebuah mesin Penghancur Limbah Multiplex dan Blockboard yang memiliki beberapa keunggulan dari mesin serupa yang sudah ada, hasil serbuk yang lebih halus sesuai dengan kriteria bahan baku MDF (0,43 g/m3). Dari segi analisis ekonomi hasil perhitungan payback period mesin Penghancur Limbah Multiplex dan Blockboard diperoleh 48 hari. Berdasarkan hasil perhitungan tersebut menjadi solusi atas permasalahan penanganan limbah di CV. Bahana Raya Kata kunci: Mesin Penghancur Limbah Multiplex dan Blockboard ; multiplex; blockboard; Ergonomi; Payback Period Abstract: Design Of Multiplex dan Blockboard Waste Machine by Considering Ergonomics and Economics Aspects. Increased orders for furniture CV. Bahana Raya results in an abundance of production waste. CV. Bahana Raya produces an average of 5-7 m3/day of multiplex and blockboard waste. So far, the multiplex waste in the form of pieces and wood chips has only been used as fuel for stoves to cook employee lunches and the rest is simply burned as waste. Multiplex and blockboard waste in the form of pieces and chips of wood that are no longer being used. This research was conducted to provide solutions in waste handling in the form of the creation of multiplex and blockboard waste crushing machines. Researchers want to develop tools or machines that are able to overcome all these weaknesses. By considering ergonomic and economical aspects, researchers can determine which machine to design according to the needs and adjust the worker's posture. The result of this research is the creation of a Multiplex and Blockboard Waste Crusher machine which has several advantages over similar existing machines, finer powder according to the criteria for MDF raw material (0.43 g/m3). In terms of economic analysis, the results of calculating the payback period for the Multiplex and Blockboard Waste Crusher machines are 48 days. Based on the results of these calculations, it is a solution to the problem of waste handling at CV. Bahana Raya Keywords: Axiomatic Design of multiplex and blockboard waste machine; multiplex; blockboard; Ergonomic; Payback Period]]>
<![CDATA[Rancang Bangun Kapal Pengukur Volume Sedimen dengan Algoritma PID ]]>
<![CDATA[Muhammad Khoirun Faza]]>;
<![CDATA[Sri Arttini Dwi Prasetyowati]]>;
<![CDATA[Bustanul Arifin]]>
<![CDATA[ Aviation Electronics, Information Technology, Telecommunications, Electricals, Controls (AVITEC) Vol 5, No 2 (2023): August ]]>
Publisher : <![CDATA[Institut Teknologi Dirgantara Adisutjipto ]]>
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DOI: 10.28989/avitec.v5i2.1712
<![CDATA[Penelitian ini merancang sebuah alat berupa kapal pengukur volume sedimen. Alat ini menggunakan algoritma PID yang berfungsi untuk mengontrol pergerakan motor PG45 dan PG28. Nilai yang diukur adalah panjang, lebar, tinggi dan volume. Adjustable infrared sensor switch dan rotary encoder digunakan sebagai acuan pengukuran volume sedimen dengan pemroses data berupa Arduino Mega 2560. Hasil penelitian ini alat mampu membaca volume sedimen. Didapatkan nilai perbandingan antara nilai asli dan nilai hasil pengukuran alat yang implementasikan dalam bentuk persentase nilai error. Dalam 10 kali percobaan didapatkan rata-rata nilai error panjang sebesar 2,13 %, lebar sebesar 7,09 %, tinggi sebesar 0,95 %, dan volume sebesar 4,74 %.]]>
