Articles
<![CDATA[LOW COST WIRELESS ECG PATCH USING ESP32 ]]>
<![CDATA[Budi Sugandi]]>;
<![CDATA[Muhammad Haikal Satria]]>;
<![CDATA[Hamdani Arif]]>;
<![CDATA[Nelmiawati Nelmiawati]]>;
<![CDATA[Indra Hardian Mulyadi]]>
<![CDATA[ JURNAL INTEGRASI Vol 12 No 1 (2020): Jurnal Integrasi - April 2020 ]]>
Publisher : <![CDATA[Politeknik Negeri Batam ]]>
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DOI: 10.30871/ji.v12i1.1764
<![CDATA[Wearable-and-wireless Electrocardiograph (ECG) has been widely used for long term monitoring due to practical reasons. Besides its high Signal to Noise Ratio (SNR), one of patch benefits is its flexibility for users to place the electrodes. However, most of existing commercial wireless ECG patches displays Heart Rate Variability (HRV) only, without ability to provide or record the ECG waveform. Some of them employ two electrodes only: Right Arm (RA) and Left Arm (LA), without additional electrode called Right Arm Drive (RLD). In addition, It is beneficial to provide more than one wireless technology option for ECG patch. We propose a low cost wireless ECG patch that has ability to provide ECG waveform (Lead I) and calculate HRV automatically. Besides RA and LA, it utilized RLD electrode to increase Common Mode Rejection Ratio (CMRR). For data processing, we employed ESP32, a low-power 32-bit microcontroller equipped with Bluetooth Classic (BT), Bluetooth Low Energy (BLE), and Wifi in a compact module. The test results showed that the proposed ECG patch resulted in more accurate HRV calculation as well as 2,7 times faster transition time compared to a commercial product.]]>
<![CDATA[Prediksi Berat dan Harga Buah Mengunakan Sensor Visual ]]>
<![CDATA[Rahmi Mahdaliza]]>;
<![CDATA[Budi Sugandi]]>
<![CDATA[ JURNAL INTEGRASI Vol 13 No 1 (2021): Jurnal Integrasi - April 2021 ]]>
Publisher : <![CDATA[Politeknik Negeri Batam ]]>
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DOI: 10.30871/ji.v13i1.2916
<![CDATA[Dengan sedikitnya pengetahuan tentang nama buah yang didapat sebelumnya, tidak sedikit anak-anak maupun dewasa yang tidak mengetahui jenis maupun nama suatu buah terutama jika buah tersebut adalah buah yang langka. Selain itu kebutuhan akan alat ukur sangatlah tinggi sebanding dengan kebutuhan akan bahan pangan itu sendiri. Alat ukur yang tersedia hanyalah alat ukur yang menimbang berat buah tanpa dapat memperkirakan harga. Sehingga keberadaan akan alat ukur yang dapat mengukur berat sekaligus menampilkan harga sangatlah dibutuhkan. Dalam penelitian ini dikembangkan sistem yang menjawab kebutuhan akan sistem yang dapat memprediksi berat buah dan harga buah. Proses prediksi berat buah dilakukan dengan perhitungan jumlah pixel dan dianalisa menggunakan persamaan regresi. Hasil perkiraan berat buah ini menghasilkan eror berat rata-rata 4.44%. Sementara proses perkiraan harga buah didapat dari perkiraan bobot buah dikalikan harga per berat buah masing-masing. Hasil perkiraan harga buah ini menghasilkan eror harga buah rata-rata 5.64 %.]]>
<![CDATA[Workshop Teknologi Robotika untuk Anak Usia 8-15 Tahun di Kota Batam ]]>
<![CDATA[Indra Hardian Mulyadi]]>;
<![CDATA[Senanjung Prayoga]]>;
<![CDATA[Rifqi Amalya Fatekha]]>;
<![CDATA[Hendawan Soebhakti]]>;
<![CDATA[Eko Rudiawan Jamzuri]]>;
<![CDATA[Lindawani Siregar]]>;
<![CDATA[Heru Wijanarko]]>;
<![CDATA[Eka Mutia Lubis]]>;
<![CDATA[Ika Karlina Laila Nur Suciningtyas]]>;
<![CDATA[Vivin Oktowinandi]]>;
<![CDATA[Ridwan Ridwan]]>;
<![CDATA[Fitriyanti Nakul]]>;
<![CDATA[Budi Sugandi]]>
<![CDATA[ Jurnal Pengabdian kepada Masyarakat Politeknik Negeri Batam Vol 4 No 2 (2022): Jurnal Pengabdian kepada Masyarakat Politeknik Negeri Batam ]]>
Publisher : <![CDATA[Politeknik Negeri Batam ]]>
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DOI: 10.30871/abdimaspolibatam.v4i2.4807
<![CDATA[The Covid-19 pandemic requires elementary and junior high school students to do online learning activities at home. In practice, children interact more often with their gadget during online school hours and outside these hours. Its a concern for most Graha Nusa Batam community residents because the children there are already starting to have symptoms of gadget addiction. Against this background, Batam State Polytechnic (Polibatam) held a robotics technology workshop program for children aged 8-15 years. This activity aims to increase children's understanding of robotics technology, which includes electronics and mechanics. In addition, this activity provides several benefits, namely: being an attractive alternative for children to reduce playing with their gadgets; provide children's experiences in problem solving, creativity and collaboration; and include field experience for Polibatam students by applying the knowledge gained through Project Based Learning (PBL) for the benefit of the community.This workshop held four meetings (March to April 2021) at the At-Taqwa Al-Qur'an Education Park (TPA) building, Graha Nusa Batam housing. The robot used is an analog line follower. Pre-test and post-test were conducted to measure the increase in participants' understanding of the material. This test shows that participants' knowledge of robotics technology can increase up to 25% for participants aged 8-11 years and 22% for 12-15 years.]]>
<![CDATA[Deteksi Tepi Canny dan RMSE untuk Identifikasi Kerusakan pada Kemasan Minuman ]]>
<![CDATA[Budi Sugandi]]>;
<![CDATA[Yuniatmi Syamsudin]]>
<![CDATA[ JURNAL INTEGRASI Vol 14 No 2 (2022): Jurnal Integrasi - Oktober 2022 ]]>
Publisher : <![CDATA[Pusat Penelitian dan Pengabdian Masyarakat Politeknik Negeri Batam ]]>
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DOI: 10.30871/ji.v14i2.4420
<![CDATA[Salah satu minuman kemasan yang banyak dipakai adalah kemasan kaleng. Kekurangan kemasan minuman kaleng adalah sifatnya yang mudah rusak akibat benturan dengan benda lain maupun terjatuh. Kemasan yang rusak mengakibatkan produk menjadi tidak sempurna. Sehingga proses identifikasi kerusakan kemasan kaleng menjadi sangat penting sebagai proses penjamin kualitas produk. Penelitian ini ditujukan sebagai salah satu solusi untuk mengidentifikasi kerusakan pada kemasan minuman kaleng. Metode deteksi yang diusulkan berdasarkan pada deteksi tepi Canny dan RMSE (Root Mean Square Error). Proses awal deteksi dimulai dengan pengkapturan citra kaleng oleh kamera. Citra asli RGB ini akan dikonversi ke citra biner untuk kemudian dilakukan deteksi tepi Canny. Pada penelitian ini, digunakan nilai high threshold 20 dan low threshold 10 pada proses deteksi tepi Canny. Citra hasil deteksi tepi Canny akan dibandingkan dengan citra deteksi Canny yang menjadi referensi menggunakan nilai RMSE. Nilai RMSE yang digunakan untuk kategori OK dan NG dibatasi pada nilai 70. Hasil pengujian menunjukan nilai RMSE untuk kategori OK berada pada rentang 70.72 dan 85.24 sedangkan kategori NG berada pada rentang 47.99 dan 69.93. Pengujian dilakukan menggunakan citra kaleng bagian atas dan tengah.]]>
<![CDATA[Fruit Recognition and Weight Scale Estimation Based on Visual Sensing ]]>
<![CDATA[Budi Sugandi]]>;
<![CDATA[Ria Wahyu]]>;
<![CDATA[Sindi Apriliana]]>;
<![CDATA[Fitri Ramadani Putri]]>
<![CDATA[ International ABEC Vol. 2 (2022): Proceeding International Applied Business and Engineering Conference 2022 ]]>
Publisher : <![CDATA[International ABEC ]]>
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<![CDATA[This paper aims to develop a system to recognize fruit and estimate its weight scale based on visual sensing. The images of fruit are captured by camera and processed by image processing to be recognized and estimated their weight. The fruit recognition is performed based on average of RGB histogram. The RGB histogram of each fruit is calculated and saved as training data. To evaluate the recognition process, the testing data is compared with training data. The weight scale estmation is performed by calculating the height dan width of the detected fruit image. The regression equation is used to determine the weight of the fruit. The experiment was performed to 8 types of fuit with 10 samples data of each. The experiment results show the effectivenes of the algorithm to recognize and estimate the weight of fuit with average error 9.38 % of recognition and 4.85% of weight estimation.]]>
<![CDATA[Deteksi dan Pelacakan Wajah Berdasarkan Warna Kulit Menggunakan Partikel Filter ]]>
<![CDATA[Budi Sugandi]]>
<![CDATA[ Jurnal Rekayasa Elektrika Vol 14, No 2 (2018) ]]>
Publisher : <![CDATA[Universitas Syiah Kuala ]]>
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DOI: 10.17529/jre.v14i2.10974
<![CDATA[Face detection and tracking are one of the areas which always in progress in many applications such as security system, biometric and so on. However, face detection and tracking can become a complex problem when it is done in real time condition. Many problems are appeared such as dependency the detection result to lightness and diversity of background colour. In this article, we presented a new method to overcome the above problems by using the HSL colour filter (Hue, Saturation, Luminance) combined with the particle filter algorithm. The HSL colour filter detected face based on skin colour with adjusting the threshold of each H, S and L colour. The next step is face tracking using particle filter. It initialised by generating the particle filter randomly around the detected face. The weight of each particle was calculated based on a distance of each particle to face position and resampled to obtain a new particles distribution. The particle with high weight would be selected many times, and particle with small weight would be disappeared. The last process in particle filter is resampling process which was done by averaging the particle's position. The experimental results showed the average error of face tracking using 100, 200 and 500 particles on X and Y axis were (1.25; 1.02), (0.86; 0.81) and (0.59; 0.57) respectively. ]]>
<![CDATA[Deteksi dan Pelacakan Wajah Berdasarkan Warna Kulit Menggunakan Partikel Filter ]]>
<![CDATA[Budi Sugandi]]>
<![CDATA[ Jurnal Rekayasa Elektrika Vol 14, No 2 (2018) ]]>
Publisher : <![CDATA[Universitas Syiah Kuala ]]>
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DOI: 10.17529/jre.v14i2.10974
<![CDATA[Face detection and tracking are one of the areas which always in progress in many applications such as security system, biometric and so on. However, face detection and tracking can become a complex problem when it is done in real time condition. Many problems are appeared such as dependency the detection result to lightness and diversity of background colour. In this article, we presented a new method to overcome the above problems by using the HSL colour filter (Hue, Saturation, Luminance) combined with the particle filter algorithm. The HSL colour filter detected face based on skin colour with adjusting the threshold of each H, S and L colour. The next step is face tracking using particle filter. It initialised by generating the particle filter randomly around the detected face. The weight of each particle was calculated based on a distance of each particle to face position and resampled to obtain a new particles distribution. The particle with high weight would be selected many times, and particle with small weight would be disappeared. The last process in particle filter is resampling process which was done by averaging the particle's position. The experimental results showed the average error of face tracking using 100, 200 and 500 particles on X and Y axis were (1.25; 1.02), (0.86; 0.81) and (0.59; 0.57) respectively. ]]>
<![CDATA[Purwarupa Alat Kalibrasi Kerataan Bidang Kerja menggunakan Laser Sensor ]]>
<![CDATA[SUGANDI, BUDI]]>;
<![CDATA[WIYONO, SURADI]]>
<![CDATA[ ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 6, No 2: Published May 2018 ]]>
Publisher : <![CDATA[Institut Teknologi Nasional, Bandung ]]>
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DOI: 10.26760/elkomika.v6i2.274
<![CDATA[ABSTRAKSalah satu elemen teknologi pendukung dari industri manufaktur elektronika adalah mesin Die Attach. Mesin ini digunakan pada proses assembly komponen dengan metode pick and place komponen pada material. Sebagai proses yang penting dalam industri manufaktur, mesin ini memerlukan kalibrasi secara reguler dan tepat yang akan menjadi kunci sukses dari kualitas suatu produksi. Penelitian ini bertujuan membuat suatu purwarupa alat yang digunakan sebagai pengontrol kalibrasi dengan menggunakan laser sensor. Proses kalibrasi dilakukan dengan cara mengukur kerataan titip sisi work holder menggunakan laser sensor. Kerataan didapatkan dengan membandingkan jarak yang terukur oleh laser sensor pada tiap titik uji. Jarak yang sama pada tiap titik uji menunjukkan kerataan dari work holder. Pergerakan laser sensor dikontrol oleh dua buah motor yang bergerak ke arah sumbu X dan Y. Alat ini telah diuji dengan mengkalibrasi pada empat sisi work holder. Hasil pengujian kemudian dibandingkan dengan pengukuran manual dan didapatkan error rata-rata pengukuran sekitar 4%.Kata kunci: Laser sensor, kerataan, kalibrasi, die attach machine ABSTRACTOne of the element technology supporting an industrial manufacturing is Die Attach machine. This machine is used at component assembly using component pick and place. As an important process, this machine requires regular and precise calibration to support quality of the product. This research aims to build a prototype system using laser sensor which can be used as calibration instrument. The callibration proses was done by measuring the flatness of each side of work holder using laser sensor. The flatness was obtained by comparing the distance of each testing point. The same distance on each testing point represented the flatness of the wrok holder. The movement of laser sensor was controlled by two motors which moved to X and Y axis. The system has been tested to calibrate each side of work holder. The experimental results were then compare with manual measurement and showed the measurement error about 4%.Keywords: Laser sensor, flatness, callibration, die attach machine.]]>
<![CDATA[Pengaruh Beban Gas Turbine Generator terhadap Efisiensi Heat Recovery Steam Generator pada Pembangkit Listrik Tenaga Gas Uap (PLTGU) ]]>
<![CDATA[SUGANDI, BUDI]]>;
<![CDATA[ATABIQ, FAUZUN]]>;
<![CDATA[ASTI, RIFKA ADELIA]]>
<![CDATA[ ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 11, No 3: Published July 2023 ]]>
Publisher : <![CDATA[Institut Teknologi Nasional, Bandung ]]>
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DOI: 10.26760/elkomika.v11i3.639
<![CDATA[ABSTRAKPembangkit Listrik Tenaga Gas Uap (PLTGU) merupakan kombinasi Pembangkit Listrik Tenaga Gas (PLTG) dan Pembangkit Listrik Tenaga Uap (PLTU). Kombinasi ini menggunakan sistem combine cycle power plant. Untuk meningkatkan efisiensi pembangkit, PLTGU memanfaatkan panas gas buang turbin untuk memanaskanair pada pipa-pipa Heat Recovery Steam Generator (HRSG) menjadi uap yang digunakan untuk menggerakkan bilah-bilah turbin uap dan memutar generator guna menghasilkan energi listrik. Artikel ini membahas pengaruh beban terhadap efisiensi HRSG. Pengamatan dilakukan selama 24 jam selama beberapa hari. Hasil penelitian menunjukkan bahwa efisiensi rata-rata HRSG selama periode tersebut adalah 65% dengan beban rata-rata 28184 kW. Efisiensi tertinggi HRSG dicapai pada saat beban 25957 kW yaitu 75.14%. sedangkan efisiensi terendah saat beban 30127 kW yaitu 56.77%. Koefisien korelasi diperoleh sebesar –0.7 yang berarti pengaruh beban terhadap efisiensi kuat dan berbanding terbalik. Nilai R Square menunjukkan pengaruh pembebanan terhadap efisiensi HRSG yaitu 48.23 %.Kata kunci: PLTGU, efisiensi HRSG, koefisien korelasi, combine cycle power plant ABSTRACTSteam Gas Power Plant (PLTGU) is a combination of Gas Power Plant (PLTG) and Steam Power Plant (PLTU). This combination is called combine cycle power plant. To increase generator efficiency, PLTGU utilizes heat from turbine exhaust gas to heat water in the Heat Recovery Steam Generator (HRSG) tubing into steam, which is used to drive the steam turbine blades and rotate the generator to produce electricity. This research analyzes effect of load on efficiency of HRSG. The results showed that the average HRSG efficiency during that period was 65 % with an average load of 28184 kW. The highest HRSG efficiency is 75.14% when the load is 25957 kW while the lowest is 56.77% when the load 30127 kW. The correlation is obtained -0.7 that showed the effect of load to the efficiency is strong and inversely proportional. The R Square showed effect of load on HRSG efficiency is 48.23%.Keywords: PLTGU, efficiency of HRSG, correlation coefficient, combine cycle power plant]]>
<![CDATA[Pelatihan Trainer Kit CIM Arm-Robot kepada SMK ]]>
<![CDATA[Adlian Jefiza]]>;
<![CDATA[Siregar, Nahum Hita Dior]]>;
<![CDATA[Nurhasanah, Armeilia]]>;
<![CDATA[Wifandi, Akhfi]]>;
<![CDATA[Ramadhan, Farhan Rizqi]]>;
<![CDATA[Suprayogi, Bagus]]>;
<![CDATA[Nugraha, Muhammad Wahyu]]>;
<![CDATA[Rafif, Carelenton Muhammad]]>;
<![CDATA[Pitriani, Shelly Sri]]>;
<![CDATA[Mulyono, Dwi Imam]]>;
<![CDATA[Diputra, Muhammad Naufal Airlangga]]>;
<![CDATA[Sugandi, Budi]]>;
<![CDATA[Akbar, Muahmmad Daneoviori]]>
<![CDATA[ Journal of Sustainable Community Development Vol. 2 No. 2 (2024): Journal of Sustainable Community Development ]]>
Publisher : <![CDATA[MID Publisher International ]]>
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DOI: 10.5281/zenodo.14439790
<![CDATA[Sekolah Menuju Kejuruan (SMK) adalah tempat dimana siswa memerlukan pembelajaran praktis dan keahlian teknis. Teknologi yang berkembang menantang para siswa untuk mempunyai keterampilan praktis sehingga dapat meminimalkan kesenjangan keterampilan diantara para siswa. Pengabdian CIM trainer kit Arm Robot yang kami susun bertujuan untuk membantu siswa-siswa SMK guna meningkatkan kualitas pendidikan dan mempersiapkan siswa dengan keterampilan yang relevan sebagai bekal untuk sukses di dunia kerja. Selain itu, dengan pengabdian ini dapat untuk melakukan simulasi, K3, pengurangan biaya, membantu pemecahan masalah, peningkatan keterlibatan dan kualitas pembelajaran untuk memperoleh keterampilan yang relevan dengan dunia kerja, meningkatkan peluang pekerjaan, dan membangun fondasi yang kuat untuk karir masa depan mereka. Pelatihan ini juga mendukung perkembangan ekonomi suatu negara dengan menyediakan tenaga kerja terampil yang dibutuhkan oleh industri.]]>
