Articles
Sistem Monitoring Suhu pada Proses Pendingin Larutan Nutrisi Hidroponik Menggunakan Elemen Peltier dan TDS Meter
Siti Aisyah;
Harmadi Harmadi
Jurnal Fisika Unand Vol 13 No 3 (2024)
Publisher : Universitas Andalas
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DOI: 10.25077/jfu.13.3.336-342.2024
Telah dilakukan perancangan sistem monitoring suhu pada proses pendingin larutan nutrisi hidroponik menggunakan elemen peltier dan TDS meter. Proses pendingin larutan nutrisi hidroponik menggunakan elemen peltier yang terhubung dengan sensor DS18B20 sedangkan TDS meter menggunakan nutrisi ABmix untuk menghasilkan konsentrasi terlarut sebesar 200 ppm – 1100 ppm. Elemen peltier aktif ketika suhu diatas 26°C sedangkan suhu dibawah 26°C elemen peltier mati. Konsentrasi terlarut yang dirancang dapat mengaktifkan buzzer ketika dibawah 200 ppm sedangkan diatas 200 ppm buzzer mati. Data berupa suhu dan konsentrasi terlarut yang didapat kemudian diproses oleh mikrokonteler Arduino Uno kemudian suhu dan konsentrasi terlarut ditampilkan ke LCD. Persentase error yang didapat pada pengujian sensor DS18B20 dengan alat pembanding sebesar 2,08% dan sensor TDS meter dengan alat pembanding sebesar 0,25%.
Pemanfaatan Computer Vision Sebagai Pemantauan Perkembangan Bibit Tanaman Tomat Berbasis IoT
Muhammad Ridho Isdi;
Harmadi Harmadi
Jurnal Fisika Unand Vol 13 No 2 (2024)
Publisher : Universitas Andalas
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DOI: 10.25077/jfu.13.2.234-240.2024
Perkembangan bibit tanaman tomat memiliki faktor lingkungan yang harus diperhatikan seperti suhu, kelembapan udara dan intensitas cahaya. Faktor tersebut mempengaruhi keadaan bibit dari hari ke hari. Penelitian ini memanfaatkan computer vision untuk memantau perkembangan bibit tanaman tomat berbasis IoT yang diharapkan dapat memantau perkembangan bibit tanaman tomat secara berkala dan mengantisipasi bibit yang belum tumbuh. Pemantauan lingkungan pada bibit menggunakan sensor DHT11 untuk mendeteksi suhu dan kelembapan udara. Sensor LDR untuk mendeteksi intensitas cahaya. Kipas angin DC dan module mist spray fog maker untuk mengontrol keadaan suhu dan kelembapan udara pada tempat pembibitan. Pemantauan dengan computer vision menggunaan algoritma YOLOV8 untuk mendeteksi perkembangan bibit antara tumbuh dan belum tumbuh. Pengambilan data pengukuran dilakukan selama rentang waktu 10 hari. Hasil semua data pengukuran dikirim ke database dengan API, kemudian data tersebut ditampilkan melalui website. Perkembangan bibit tanaman tomat menggunakan sistem lebih cepat 1 hari daripada tidak menggunakan sistem. Pemantauan perkembangan bibit menggunakan YOLOV8 memiliki tingkat akurasi sebesar 96% yang berarti sistem dapat membedakan bibit yang tumbuh dan belum tumbuh.Â
Sistem Fotobioreaktor dilengkapi Pemantauan Konsentrasi CO2 dari Kabut Asap pada Model Kebakaran Lahan Gambut
Azzahra Zhuhrii;
Harmadi Harmadi
Jurnal Fisika Unand Vol 13 No 6 (2024)
Publisher : Universitas Andalas
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DOI: 10.25077/jfu.13.6.827-833.2024
Indonesia's peatlands are quite extensive and often cause fires that lead to haze. Haze contains harmful compounds, namely carbon dioxide (CO2). One of the efforts to reduce CO2 content is using a microalgae Chlorella vulgaris photobioreactor system. This research makes a photobioreactor system equipped with monitoring the concentration of CO2 emissions from haze on a peatland fire model. The photobioreactor is equipped with an MQ-135 sensor to detect CO2 concentration and an LM35 sensor to determine changes in temperature in the microalgae container. The temperature in the microalgae container is set in the range of 25ºC30ºC according to the habitat of microalgae. The output data from the sensors is processed by Arduino Uno R3. The measurement results of CO2 concentration and temperature are displayed on the I2C LCD in units of ppm and ºC. This study uses a variety of light sources in the form of red, green, blue LEDs and sunlight. The results of the study found that blue LED lights play a more active role to increase the ability of microalgae to reduce CO2 emissions in the room. The photobioreactor system using Chlorella vulgaris microalgae is able to reduce the concentration of CO2 produced from haze in the peatland fire model of 655.08 ppm down to 620.47 ppm within 1 hour.
Analisis Sensitivitas Sensor GY-ML8511 dalam Deteksi Formalin
M. Farhan Ramadhan;
Meqorry Yusfi;
Harmadi Harmadi
Jurnal Fisika Unand Vol 13 No 5 (2024)
Publisher : Universitas Andalas
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DOI: 10.25077/jfu.13.5.684-689.2024
Food safety is a crucial aspect in meeting people's nutritional needs. Formalin, a dangerous preservative, is often used illegally to extend the shelf life of foodstuffs, posing serious risks to consumer health. This research develops a portable technology for rapid detection of formaldehyde in foodstuffs. The method utilizes the interaction between UV light and the concentration of formaldehyde in a sample treated with Schiff reagent, enabling the measurement of UV uptake proportional to formaldehyde concentration. The Schiff reagent reacts with formalin to produce a colored compound whose absorbance is measured to detect and quantify formalin in the sample. The designed optical system focuses on measuring the intensity of light from a UV LED source, which is then transmitted through the sample. The successfully transmitted light intensity is converted into an electrical signal by the GY-ML8511 sensor, which is then processed by the NodeMCU ESP8266 to display the concentration of formalin on the LCD screen. This research also analyzes the sensitivity and selectivity of the GY-ML8511 sensor to evaluate its performance and reliability in detecting formaldehyde, with the ultimate goal of improving food safety through innovative detection technologies, such as the use of biosensors and advanced spectroscopy. This technology contributes to existing solutions by enabling rapid and accurate detection at various stages of food production, thereby reducing the risk of contamination and improving compliance with food safety standards
Rancang Bangun Alat Ukur Tekanan Hidrostatis dan Kedalaman Perairan Berbasis Sensor Serat Optik
M Fachri Yunus;
Harmadi Harmadi
Jurnal Fisika Unand Vol 13 No 5 (2024)
Publisher : Universitas Andalas
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DOI: 10.25077/jfu.13.5.718-724.2024
The design of hydrostatic pressure and water depth measuring instrument based on optical fiber sensor using intrinsic method has been carried out. The design of this hydrostatic pressure and water depth measuring instrument consists of fiber optic sensors which include a light source in the form of a 5V diode laser, FD-620-10 optical fiber as a light transmission medium and OPT101 photodetector. Arduino Uno R3 board as a data processor, and I2C LCD as a viewer of measurement results. Characterization of the fiber optic sensor is done by varying the bending based on the number of serrations that cause differences in output voltage on the fiber optic sensor. Optimal results were obtained when the serrations amounted to 5 with a sensitivity value of -0.0863 V/kPa. The maximum hydrostatic pressure that can be measured is at a water depth of 1.5 m. The measurement results of hydrostatic pressure and water depth obtained with the designed tool against the theory and comparison tool obtained a percentage error of 4.42% and 4.32%, respectively
Education of Disaster Awareness through Disaster Readiness Socialization as an Effort to Increase Community Knowledge around the Nobita Hill Tourism Area on Disaster Mitigation
Marzuki Marzuki;
Mutya Vonnisa;
Harmadi Harmadi;
Dwi Pujiastuti;
Arif Budiman;
Dwi Puryanti;
Sri Oktamuliani;
Imam Taufiq;
Meqorry Yusfi;
Rahmat Rasyid; Astuti Astuti;
Sri Handani;
Sri Rahayu Alfitri Usna;
Dian Fitriyani;
Elvaswer Elvaswer;
Muhammad Arif;
Muhammad Kahfi;
Naela Amalia Zulfa;
Iqbal Ramadhan;
Nurul Hasanah;
Feriska Handayani Irka
Warta Pengabdian Andalas Vol 31 No 2 (2024)
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat (LPPM) Universitas Andalas
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DOI: 10.25077/jwa.31.2.353-361.2024
Nobita Hill, a tourist site in Padang City, is undergoing development as a tourist destination that offers a bird's-eye view of Padang City. Unfortunately, the hilly topography with steep slopes increases the risk of landslides in this area. In order to address the problem, the community service team from the Physics Department of Andalas University has carried out a six-month community service program from July to December 2022. It focused on disaster awareness education and used a qualitative approach. This activity aims to socialize disaster mitigation efforts, especially those related to landslides and earthquakes, considering that Padang City is also prone to earthquakes. The results of this activity showed an increase in the knowledge of the local community after the socialization, but repeated activities are needed to achieve optimal results. This ongoing activity is essential to ensure continuous improvement in the community's understanding of disaster mitigation and to support efforts to make Bukit Nobita a disaster-resilient area. Thus, this activity makes a positive contribution to shaping a safe, sustainable, and disaster-resilient tourism environment.
Analisis Sensitivitas Sensor GY-ML8511 dalam Deteksi Formalin
Ramadhan, M. Farhan;
Yusfi, Meqorry;
Harmadi, Harmadi
Jurnal Fisika Unand Vol 13 No 5 (2024)
Publisher : Universitas Andalas
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DOI: 10.25077/jfu.13.5.684-689.2024
Food safety is a crucial aspect in meeting people's nutritional needs. Formalin, a dangerous preservative, is often used illegally to extend the shelf life of foodstuffs, posing serious risks to consumer health. This research develops a portable technology for rapid detection of formaldehyde in foodstuffs. The method utilizes the interaction between UV light and the concentration of formaldehyde in a sample treated with Schiff reagent, enabling the measurement of UV uptake proportional to formaldehyde concentration. The Schiff reagent reacts with formalin to produce a colored compound whose absorbance is measured to detect and quantify formalin in the sample. The designed optical system focuses on measuring the intensity of light from a UV LED source, which is then transmitted through the sample. The successfully transmitted light intensity is converted into an electrical signal by the GY-ML8511 sensor, which is then processed by the NodeMCU ESP8266 to display the concentration of formalin on the LCD screen. This research also analyzes the sensitivity and selectivity of the GY-ML8511 sensor to evaluate its performance and reliability in detecting formaldehyde, with the ultimate goal of improving food safety through innovative detection technologies, such as the use of biosensors and advanced spectroscopy. This technology contributes to existing solutions by enabling rapid and accurate detection at various stages of food production, thereby reducing the risk of contamination and improving compliance with food safety standards
Rancang Bangun Alat Ukur Tekanan Hidrostatis dan Kedalaman Perairan Berbasis Sensor Serat Optik
Yunus, M Fachri;
Harmadi, Harmadi
Jurnal Fisika Unand Vol 13 No 5 (2024)
Publisher : Universitas Andalas
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DOI: 10.25077/jfu.13.5.718-724.2024
The design of hydrostatic pressure and water depth measuring instrument based on optical fiber sensor using intrinsic method has been carried out. The design of this hydrostatic pressure and water depth measuring instrument consists of fiber optic sensors which include a light source in the form of a 5V diode laser, FD-620-10 optical fiber as a light transmission medium and OPT101 photodetector. Arduino Uno R3 board as a data processor, and I2C LCD as a viewer of measurement results. Characterization of the fiber optic sensor is done by varying the bending based on the number of serrations that cause differences in output voltage on the fiber optic sensor. Optimal results were obtained when the serrations amounted to 5 with a sensitivity value of -0.0863 V/kPa. The maximum hydrostatic pressure that can be measured is at a water depth of 1.5 m. The measurement results of hydrostatic pressure and water depth obtained with the designed tool against the theory and comparison tool obtained a percentage error of 4.42% and 4.32%, respectively
Fabric materials classification device using YOLOv8 algorithm
Alawiya, Tuti;
Isdi, Muhammad Ridho;
Yusfi, Meqorry;
Harmadi, Harmadi
Indonesian Journal of Electrical Engineering and Computer Science Vol 38, No 3: June 2025
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v38.i3.pp1479-1488
The fashion industry in Indonesia significantly contributes to the country’s creative economy. However, public knowledge about various types of fabric materials is still limited, often leading to fraud. This research aims to develop a device that can classify fabric materials based on their structure using computer vision techniques. The device uses a digital microscope endoscope magnifier 1600x USB camera to capture fabric structure images and the YOLOv8 algorithm to classify 17 types of fabric materials from 1,700 raw image data. The research methodology includes collecting fabric image datasets, preprocessing data, and training the YOLOv8 model. The results show that the YOLOv8 model achieves an accuracy of 98%. The classification results are displayed on an LCD connected to NodeMCU ESP8266. System testing shows that the device effectively classifies fabric materials, sends the results to the database via API, and displays the results on the LCD. Overall, this device provides an effective solution for distinguishing types of fabrics and preventing fraud in fabric purchases.
Pengaruh Penambahan Phenethylammonium Iodida (PEAI) terhadap Struktur dan Sifat Optik Lapisan Perovskite Solar Cell FAPbI3
Manda, Poni Dwi;
Dahlan, Dahyunir;
Harmadi, Harmadi;
Umar, Akrajas Ali
Jurnal Fisika Unand Vol 14 No 3 (2025)
Publisher : Universitas Andalas
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DOI: 10.25077/jfu.14.3.298-304.2025
This study explores the effect of doping phenethylanimum iodide (PEAI) on grain size and absorption ability in the perovskite formanidinium lead iodide (FAPbI3) layer. FAPbI3 was chosen as the object of study because of its potential application in perovskite-based solar cell technology. In this experiment, the FAPbI3 perovskite layer was prepared with a PEAI doping variation using a two-stage spin-coating method. Ultraviolet-visible (UV-Vis) spectrum analysis showed that the perovskite layer has typical optical absorption characteristics at a wavelength of 780 nm, with a measured energy gap value of 1.48 eV at a PEAI concentration of 2 mg/ml. In addition, the surface morphology of FAPbI3 showed an increase in grain size along with the addition of PEAI doping, where the optimal grain size was recorded at a doping of 2 mg/ml with a size of 0.54 ± 0.03 μm and a smooth and homogeneous morphology. These findings are expected to make a significant contribution to the development of more efficient and stable solar cells