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Desain Model Fuzzy Control UAV Berbasis Matlab/Simulink pada Arduino Flight Controller Muchamad Malik; Aan Burhanuddin
Jurnal Engine: Energi, Manufaktur, dan Material Vol 2, No 2 (2018)
Publisher : Proklamasi 45 University

Quadrocopter is an aerial vehicle platform that has become very popular among researchers from the past because it has advantages compared to conventional helicopters. The quadrocopter design is very simple and unique but seen from an unstable aerodynamic standpoint. From existing research, researchers have proposed many control system designs for quadrocopter. In this study, the author presents a fuzzy logic controller for quadrocopter. The method in this research is by designing hardware. After that the design for fuzzy controllers. Then the designed fuzzy controller is tested in the Hardware In Loop (HIL) setting. The experimental results and validation of the controller application functions are considered satisfactory and it is concluded that it is possible to stabilize quadrocopter with fuzzy logic controller.

DETEKSI SUHU TUBUH DAN MASKER WAJAH DENGAN MLX90614, OPENCV, KERAS/TENSORFLOW, DAN DEEP LEARNING Muchamad Malik
Jurnal Engine: Energi, Manufaktur, dan Material Vol 6, No 1 (2022)
Publisher : Proklamasi 45 University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30588/jeemm.v6i1.910

Digital image processing technology combined with sensors is currently being used. This technology can help various needs such as education, industry and health. During the COVID-19 crisis, people are required to wear masks for protection. The public is also required to check their temperature regularly, which will have a significant health impact. This can reduce the risk of transmitting the Covid-19 virus. In this study, the author uses a WebCam camera and a temperature sensor MLX90614 as a tool to monitor the use of masks and measure body temperature. The author uses OpenCV for digital image processing and Tensorflow as a deep learning method for mask detection. The result of this study is that Tensorflow can detect wearing a mask with 99% accuracy. The MLX90614 sensor can measure body temperature with 99% accuracy at a reading distance of 5 cm to 10 cm.

PROTOTYPE OF MASK RECOGNITION AND BODY TEMPERATURE IN REAL TIME WITH AMG8833 THERMAL CAM SENSOR FOR COVID-19 EARLY WARNING BASED ON MINICOMPUTER Muchamad Malik; Aan Burhanuddin; Yuris Setyoadi
KURVATEK Vol 7 No 2 (2022): Energy Management and Sustainable Environment
Publisher : Institut Teknologi Nasional Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33579/krvtk.v7i2.3585

On April 19, 2020, the Republican Covid Task Force declared that the Covid-19 pandemic was a national disaster in Indonesia. At that time it was confirmed that there were 6575 cases and an increase of 5.23% compared to the previous day, then there were 5307 people in treatment which increased by 5.55% compared to the previous day, it was reported that 582 people died, which increased by 8.79 % compared to the previous day, and 686 recovered patients. WHO reports that the case fatality rate (CFR) or the death rate of Covid-19 cases in Indonesia reached 8.3%, which is twice the world's CFR. In this study, the main focus is to detect masks and body temperature used by visitors with various variations of masks on the market today, and next is to control the servo motor according to the detection conditions whether using a mask in real-time. Based on research on the system that has been tested, it shows that the components used to generate heat are very effectively used and can work as expected, and the MobilenetV2 method applied to the Raspberry Pi as the brain of the system can work as expected and has an accuracy rate of 99%. The AMG8833 sensor can read effectively at a maximum distance of 30 cm, the temperature reading deviation level is 0.1⁰C.

Peningkatan Nilai Tambah Serbuk Kayu Menjadi Briket Cetak pada Warga Desa Sambireme Kecamatan Kalijambe Kabupaten Sragen Rena Juwita Sari; Syaiful Mansyur; Muchamad Malik; Fitria Basuki Sukandaru
Jurnal Pengabdian Pada Masyarakat Vol 8 No 1 (2023): Jurnal Pengabdian Pada Masyarakat
Publisher : Universitas Mathla'ul Anwar Banten

Sebagian penduduk Desa Sambirembe, Kec. Kalijambe bekerja sebagai petani, pengusaha pengolahan kayu dan pekerja pengolahan kayu. Desa ini memiliki sekitar 154 pengrajin kayu yang membuat perabot rumah tangga seperti almari, kursi, meja dan lain-lain. Semua pengrajin kayu dalam pembuatannya masih menggunakan alat-alat yang sederhana. Di sisi lain, Dusun Wonosari, Desa Sambirembe, juga memiliki 25 unit usaha pengolahan kayu yang tersebar dari RT 05 yang merupakan milik perorangan. Pengolahan kayu tersebut akan menghasilkan limbah sisa berupa serbuk gergaji dari penggergajian kayu. Perkiraan jumlah rata-rata limbah serbuk gergaji adalah 2 kubik per hari. Hal ini menimbulkan masalah lingkungan dan kurangnya tempat penampungan serbuk gergaji jika pengolahan kayu menghasilkan produksi yang terus menerus. Khalayak sasaran adalah pengrajin kayu RT 05, Dusun Wonosari, Desa Sambirembe. Jumlah sasaran yang bergabung adalah 20 orang. Kegiatan ini dilakukan dengan dua metode, yaitu metode pelatihan dan metode praktek. Metode pelatihan dilakukan dengan memberikan materi teori tentang tata cara pembuatan briket serbuk gergaji, pelatihan branding, pelatihan pembuatan logo, pelatihan pembuatan kemasan dan pelatihan digital marketing. Metode praktik dilakukan dengan praktik langsung pembuatan briket serbuk gergaji. Selama acara penyuluhan dan pelatihan berlangsung, para peserta cukup antusias dalam mengikuti materi yang disampaikan oleh para pemateri dari tim PKM Universitas Proklamasi 45. Demikian juga dalam kegiatan praktek, partisipasi peserta sangat dominan, sehingga dapat diprediksi tingkat penyerapan materi sangat baik. Target luaran yang ingin dicapai adalah terbentuknya kelompok percontohan briket cetak serbuk gergaji kayu sebagai awal pengembangan usaha secara komersial, menghasilkan produk briket cetak yang lebih murah dibandingkan dengan kayu bakar, dan menghasilkan buku panduan teknis pembuatan briket cetak dari serbuk gergaji kayu sehingga diharapkan dapat mewujudkan kemandirian dan peningkatan kesejahteraan melalui peningkatan pendapatan keluarga. Some residents of Sambirembe Village, District. Kalijambe works as a farmer, wood processing business and wood processing worker. This village has about 154 wood craftsmen who make home furnishings such as cupboards, chairs, tables and others. All wood craftsmen in making the kingdom still use simple tools. On the other hand, Wonosari Hamlet, Sambirembe Village, also has 25 wood processing business units spread from RT 05 which are individually owned. The wood processing will produce residual waste in the form of sawdust from sawmills. The estimated average amount of sawdust waste is 2 cubic per day. This creates environmental problems and lack of sawdust storage if wood processing produces continuous production. The target audience is wood craftsmen RT 05, Wonosari Hamlet, Sambirembe Village. The number of targets joined is 20 people. This activity is carried out by two methods, namely training methods and practical methods. The training method is carried out by providing theoretical material on the procedures for making sawdust briquettes, branding training, logo making training, packaging making training and digital marketing training. The practical method is carried out by direct practice of making sawdust briquettes. During the counseling and training event, the participants were quite enthusiastic in following the material presented by the presenters from the PKM team of the Proklamasi University 45. Likewise in practical activities, the participation of the participants was very dominant, so it could be predicted that the absorption rate of the material was very good. The output target is the formation of pilot groups of wood sawdust molded briquettes as the beginning of commercial business development, producing printed briquette products cheaper than firewood, and producing a technical manual for making molded briquettes from sawdust so that it is expected to be able to realize independence and improve welfare through increased family income.

Prototype Of Mask Recognition And Body Temperature In Real Time With Amg8833 Thermal Cam Sensor For Covid-19 Early Warning Based On Minicomputer Aan Burhanuddin; Muchamad Malik; Yuris SetyoadI
Journal of Biomedical Science and Bioengineering Vol 2, No 2 (2022)
Publisher : Center for Biomechanics, Biomaterials, Biomechantronics and Biosignal Processing (CBOIM3S)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jbiomes.2022.v2i2.43-49

On April 19, 2020, the Republican Covid Task Force declared that the Covid-19 pandemic was a national disaster in Indonesia. At that time it was confirmed that there were 6575 cases and an increase of 5.23% compared to the previous day, then there were 5307 people in treatment which increased by 5.55% compared to the previous day, it was reported that 582 people died, which increased by 8.79 % compared to the previous day, and 686 recovered patients. WHO reports that the case fatality rate (CFR) or the death rate of Covid-19 cases in Indonesia reached 8.3%, which is twice the world's CFR. In this study, the main focus is to detect masks and body temperature used by visitors with various variations of masks on the market today, and next is to control the servo motor according to the detection conditions whether using a mask in real-time. Based on research on the system that has been tested, it shows that the components used to generate heat are very effectively used and can work as expected, and the MobilenetV2 method applied to the Raspberry Pi as the brain of the system can work as expected and has an accuracy rate of 99%. The AMG8833 sensor can read effectively at a maximum distance of 30 cm, the temperature reading deviation level is 0.1⁰C.

Speech Recognition pada Kontrol Gerak Tangan Bionik berbasis Raspberry Pi dan Arduino Syaiful Mansyur; Muchamad Malik; Aan Burhanuddin; Jihan Abdul Malik
Jurnal Engine: Energi, Manufaktur, dan Material Vol 7, No 1 (2023)
Publisher : Proklamasi 45 University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30588/jeemm.v7i1.1431

The bionic hand is a broad bio-mechatronic device that incorporates various concepts involving biology and mechatronics. In this journal, the authors research finger movements in bionic hands using voice commands. In designing this bionic hand, the author made a mechanical design using a 3D printing machine. The hardware design used by the Raspberry Pi to process voice data is then transmitted to Arduino to carry out servo movement commands so that it can move bionic fingers. Software design uses the Python language using the Google text-to-speech API. From this research, data was generated with 100% accuracy. The movement of bionic fingers moves according to the commands spoken.

Analisis Sistem Pemantauan Pemisah Sampah Logam dan Non Logam berbasis Internet of Things Muchamad Malik; Sumpena Sumpena
Jurnal Engine: Energi, Manufaktur, dan Material Vol 7, No 1 (2023)
Publisher : Proklamasi 45 University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30588/jeemm.v7i1.1462

Waste has become a serious problem, especially in big cities, not only in Indonesia but also around the world. Waste production continues to increase along with population growth, and changes in consumption patterns and people's lifestyles have increased the amount of waste, the type, and the diversity of waste characteristics. Waste bins are infrastructure available in every city park that makes it easier for park visitors to dispose of waste. make it easier for park visitors to dispose of waste. In some places, There are no bins based on the basic material of the waste, namely metal bins and non-metal bins that can be monitored in real-time. So a smart trash can is made that can sort metal or non-metal waste that can be monitored in real-time with the Internet of Things. The hardware used is Metal Proximity Sensor, Infrared Sensor, Servo Motor, Ultrasonic Sensor, MQ135 Gas Sensor, and ESP32 Microcontroller. The capacity in the trash can be monitored through the Blynk application, which will provide notification when the trash can is full. Based on the test results of the volume reading of the trash can, the success of the sensor to open and close is 99.26%. To sort non-metal waste and metal waste using proximity sensors with the results of testing the reading of waste objects obtained success in non-metal waste by 95% and metal waste by 100%.

Prototype of a Dust Monitoring Device in the Mechanical Engineering Laboratory at PGRI University Semarang Using the GP2Y1010AU0F Sensor Rifki Hermana; Muchamad Malik; Agus Mukhtar; Andrew Joewono; Gostsa Khusnun Naufal
Jurnal Engine: Energi, Manufaktur, dan Material Vol. 8 No. 2 (2024)
Publisher : Proklamasi 45 University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30588/jeemm.v8i2.1999

ABSTRACT This study aims to develop an accurate and real-time air quality monitoring system in the Mechanical Engineering Laboratory that provides information on the measured parameter values. The research employs an experimental approach to determine the effectiveness of variables within the experiment. The primary sensor used is the GP2Y1010AU0F Optical Dust Sensor, which operates based on infrared light to measure particulate dust concentration levels. Analysis of sensor testing results was conducted by observing variations in sensor readings, notably after trials involving tissue burnt as a dust source. The dust sensor consistently recorded an average dust concentration of 0.597 Kg/m³. Subsequently, tests were conducted using baby powder with a constant weight of 30 mg per trial. Sensor readings varied between 0.35 Kg/m³ and 0.38 Kg/m³, indicating that within the given weight range, the powder mass does not significantly impact sensor readings. Further, tests on indoor dust density, with an average concentration of 36.01 µg/m³, revealed a relatively low average dust concentration in the room during the measurement period..

Pengembangan Sistem Kendali Lengan Robot Humanoid Berbasis Pengolahan Citra Real-Time Menggunakan MediaPipe Lupito, Vemas Nandra; malik, Muchamad; Burhanudin, Aan
JURNAL CRANKSHAFT Vol 8, No 2 (2025): Jurnal Crankshaft Vol. 8 No. 2 (2025)
Publisher : Universitas Muria Kudus

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24176/cra.v8i2.15117

Perkembangan teknologi pengenalan gerakan manusia telah mendorong inovasi dalam pengendalian robot humanoid berbasis visi komputer. Penelitian ini bertujuan untuk mengimplementasikan sistem kendali lengan robot humanoid menggunakan framework MediaPipe berbasis Python yang diintegrasikan dengan kamera laptop sebagai sensor utama. Sistem ini dirancang untuk meniru gerakan tangan manusia secara real-time, dengan memanfaatkan data landmark pose tubuh yang dihasilkan oleh MediaPipe Pose Tracking. Koordinat titik-titik tubuh (bahu, siku, pergelangan tangan) dikalkulasikan menjadi sudut artikulasi menggunakan prinsip trigonometri vektor, kemudian dikonversi ke dalam sinyal kendali motor servo. Rangka robot dibangun menggunakan komponen cetak 3D berbahan PLA dengan konfigurasi sambungan pada bahu, siku, dan pergelangan tangan. Servo HS-805BB digunakan sebagai aktuator utama yang dikendalikan oleh mikrokontroler ESP32 melalui komunikasi serial. Hasil pengujian menunjukkan bahwa sistem mampu meniru gerakan tangan dengan tingkat responsivitas yang baik dalam lingkungan terkendali. Rentang gerak robot mendekati proporsi gerakan manusia, dengan gerakan fleksi siku mencapai 135° atau 93% dari gerakan alami. Beban torsi pada sambungan bahu sebesar 20 kg·cm masih berada dalam batas aman dari kapasitas servo. Kesimpulannya, sistem ini berhasil merepresentasikan prototipe awal kendali robot humanoid berbasis visi yang efektif dan ekonomis. Pengembangan lebih lanjut disarankan pada aspek stabilitas gerakan, akurasi pelacakan, dan adaptasi terhadap kondisi pencahayaan yang dinamis. Kata kunci: MediaPipe, robot humanoid, kendali visual, servo, Python, ESP32

Rancang Bangun Prototype Alat Pengukur Kualitas Air Sumur Berdasarkan Salinitas PH dan Kekeruhan Menggunakan Metode Fuzzy Logic Maulana, Ilham Rizki; Malik, Muchamad; Mukhtar, Agus
JURNAL CRANKSHAFT Vol 8, No 2 (2025): Jurnal Crankshaft Vol. 8 No. 2 (2025)
Publisher : Universitas Muria Kudus

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24176/cra.v8i2.15133

Air tanah merupakan sumber utama air bersih yang dimanfaatkan masyarakat untuk kebutuhan harian seperti mandi, mencuci, memasak, dan konsumsi. Namun, kualitas air sumur sering kali menurun akibat kontaminasi lingkungan seperti intrusi air laut, rembesan limbah domestik seperti rembesan septic tank, serta tingginya kandungan logam berat dan partikel tersuspensi. Masalah ini umum terjadi di daerah pesisir dan kawasan pemukiman padat dengan sanitasi yang kurang memadai. Penelitian ini bertujuan untuk merancang dan menguji prototype alat ukur kualitas air sumur dengan pendekatan fuzzy logic mamdani, yang mengklasifikasikan kualitas air ke dalam tiga kategori yaitu baik, cukup, dan buruk. Sistem dirancang menggunakan mikrokontroler ESP32 yang terintegrasi dengan sensor salinitas, pH, dan kekeruhan. Data ditampilkan secara real-time pada layar LCD. Pengujian dilakukan terhadap sampel air sumur di wilayah Kaligawe, Kota Semarang. Sensor salinitas menunjukkan akurasi 94,76% dengan kadar garam 1438 ppm, melebihi ambang batas air layak konsumsi. Sensor pH memiliki akurasi 92,90% dengan nilai pH 7,9, masih dalam rentang standar (6,5–8,5). Sensor kekeruhan mencatat akurasi 90,89% dengan nilai 10,6 NTU, di atas batas aman 5 NTU. Validasi dengan MATLAB menunjukkan deviasi rata-rata hanya 0,88%, menandakan sistem memiliki tingkat presisi yang sangat baik. Hasil menunjukkan bahwa air sumur tidak layak dikonsumsi karena tingginya kadar garam, sesuai dengan batasan dalam Permenkes No. 2 Tahun 2023.

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