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IoT-based viscometer fabrication using the falling ball method for laboratory applications Alwi Nofriandi; Yulkifli Yulkifli; Asrizal Asrizal; Nur Anisa Sati’at
Indonesian Journal of Electrical Engineering and Computer Science Vol 34, No 1: April 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v34.i1.pp89-97

Abstract

This study outlines the production procedure of internet of things (IoT)- enabled viscometers designed for laboratory use. These viscometers utilize photodiode sensors, lasers, and falling ball techniques. The system is equipped with a temperature sensor that is utilized to quantify the impact of temperature on viscosity. The temperature sensor’s characterization yielded a R-square value of 0.999. The photodiode and laser sensors are utilized to operate a timer within the system, ensuring precise time measurement. The R-square value for the sensor characterization is 0.996. A viscometer equipped with an integrated IoT module for seamless wireless transmission of data. The photodiode timer sensor has an accuracy of 95.76% and a precision of 99.96%, while the temperature sensor has an accuracy of 99.43% and a precision of 99.93%. The viscometer transmits the measured viscosity data to the server using wireless technology. This IoT viscometer has the potential to enhance the efficiency and precision of liquid viscosity measurement in laboratory settings. Additionally, it enables real-time monitoring and data collection for subsequent analysis and research purposes.
Rancang Bangun Sistem Kontrol dan Monitoring Suhu Udara Pada Smart Farming Stroberi Berbasis IoT Mutia Oktaviani, Annisa; Yulkifli, Yulkifli; Nofriandi, Alwi
Jurnal Pendidikan Tambusai Vol. 7 No. 3 (2023): Desember 2023
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai, Riau, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jptam.v7i3.10683

Abstract

Teknologi berperan penting pada sektor pertanian di Indonesia, teknologi meningkatkan efisiensi dan pertumbuhan ekonomi, terutama untuk komoditas buah-buahan seperti stroberi. Stroberi dapat tumbuh dengan baik pada daerah beriklim subtropis. Stroberi dari segi teknis membutuhkan kondisi lingkungan tumbuh yang sejuk dan lembap, dengan suhu optimal berkisar antara 22 hingga 28°C. Sehingga penanaman stroberi di daerah iklim tropis bersuhu tinggi seperti di Kota Padang akan sulit dilakukan. Oleh karena itu, Smart Farming berbasis IoT merupakan solusi untuk mengontrol dan memonitoring suhu udara pada tanaman stroberi di daerah tropis. Penelitian ini tergolong kedalam penelitian rekayasa. Penelitian ini menggunakan NodeMCU ESP8266, sensor DS18B20, kipas, dan Blynk. Sistem yang dirancang mencapai ketepatan rata-rata 99,48%, menunjukkan akurasi tinggi. Ketelitian sistem mencapai 0,9993 dengan tingkat ketelitian 0,01. Pengujian sistem kontrol menunjukkan bahwa kipas hidup saat suhu di atas 22°C dan mati saat di bawah 22°C, sesuai dengan set point yang ditetapkan.
Systematic Literature Review Method for Identifying Efficiency and Photovoltaic Technology as a Renewable Energy Innovation Audia, Washilla; Yendri Sudiar, Nofi; Hamdi; Yulkifli; Nofriandi, Alwi
Journal of Climate Change Society Vol. 2 No. 1 (2024)
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jccs/Vol2-iss1/24

Abstract

Photovoltaics or solar cells are a device that can convert/convert solar energy into electrical energy. The use of photovoltaics as a renewable energy innovation is very necessary in developing photovoltaic technology and increasing the efficiency of the energy produced. The main electricity supply is PLN, which is not always continuous in its distribution due to the limited availability of fossil energy. This can result in disruption of human activities and productivity. The technology developed is organic and inorganic photovoltaic technology. Photovoltaic efficiency refers to the ability of solar panels to convert sunlight energy into electrical energy. Currently it is not known how much technology has been developed by photovoltaics and the efficiency that photovoltaics have produced. This research aims to identify developments in photovoltaic efficiency research and technology used in the world whose data was obtained from related journals in 2013-2022. There are 1,503 studies related to photovotaic efficiency. The method used in this research is the Systematic Literature Review (SLR) Method. The SLR method is used to identify, review, evaluate, and interpret all available research on a topic area of ​​interest, with specific relevant research questions. By using the SLR method, a systematic review and identification of journals can be carried out, with each process following predetermined steps or protocols. The research results show that the technology that is widely used in developing photovoltaic efficiency is organic photovoltaic technology and the highest efficiency that has been obtained is 38.9%.
Heavy Metals Contamination and the Evolution of Environmental Policy: A Comprehensive Bibliometric Reviews Nofriandi, Alwi; Frinaldi, Aldri; Lanin, Dasman; Rembrandt, Rembrandt; Yulkifli, Yulkifli; Dewata, Indang; Siregar, Dewi Rahmadani; Insani, Munadia; Sati’at, Nur Anisa; Febrina, Suci
Science and Environmental Journal for Postgraduate Vol 7 No 1 (2024): Science and Environmental Journals for Postgraduate (SENJOp)
Publisher : Postgraduate School, Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/senjop.v7i1.273

Abstract

This study investigates the relationship between heavy metal pollution and environmental policy through a bibliometric analysis of research published between 2009 and 2023. Heavy metal contamination, involving toxic elements such as lead, cadmium, and mercury, poses significant risks to human health and ecosystems, particularly in areas of intensive industrial activity. The study aims to assess research trends, policy advancements, and collaborative networks to identify gaps and propose future directions. Data were extracted from Scopus, employing keywords like “heavy metals” and “environmental policy”. Biblioshiny software facilitated analyses of publication trends, geographic distribution, co-authorship networks, and citation impact. The findings reveal a marked increase in research output from 2015, driven by international policy initiatives like the Minamata Convention. China leads in publication volume, reflecting its industrial challenges, while other nations like India and Brazil emphasize collaborative efforts. Keyword analyses highlight themes such as health risks, pollution monitoring, and policy evaluation. The study underscores the critical role of global cooperation in addressing pollution through innovative technologies and effective policies.Future research should explore the impact of climate change on heavy metal mobility, long-term health effects, and the integration of AI and IoT in environmental monitoring. These steps are vital for advancing sustainable solutions to mitigate heavy metal pollution.
Simulator Gempa Menggunakan Konsep Vibrating Table Berbasis Sensor MPU6050 Audia, Washilla; Yulkifli, Yulkifli; Nofriandi, Alwi; Yohandri, Yohandri; Ahadi, Suaidi
POSITRON Vol 14, No 2 (2024): Vol. 14 No. 2 Edition
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam, Univetsitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/positron.v14i2.76159

Abstract

Indonesia merupakan salah satu negara dengan wilayah berpotensi gempa tertinggi di dunia, yang sering kali menimbulkan kerugian besar. Simulator gempa berbiaya rendah menjadi topik penting dalam berbagai penelitian untuk mendukung mitigasi bencana. Oleh karenanya, pengembangan dan pengujian vibrating table semakin banyak dilakukan di pusat penelitian teknik gempa di seluruh dunia. Penelitian ini bertujuan untuk mengembangkan simulator gempa berbasis konsep vibrating table yang hemat biaya, mudah digunakan, dan akurat, dengan memanfaatkan sensor MPU6050 untuk karakterisasi getaran. Sistem ini menggunakan motor DC sebagai sumber getaran, sementara sensor MPU6050 mendeteksi getaran yang terjadi saat simulator diujikan dan mengukur percepatan getaran yang dihasilkan. Purwarupa yang dikembangkan ini kemudian dikalibrasi menggunakan vibration meter sebagai alat ukur standar. Pada penelitian ini ditemukan bahwa variasi kecepatan putar motor (rpm) memengaruhi hasil respons dari percepatan getaran (m/s2) pada prototipe simulator gempa dan memiliki hubungan berbanding lurus.  Simulator ini memiliki tingkat ketepatan 96,1% dan ketelitian 99,6% setelah kalibrasi. Dengan demikian, purwarupa ini mampu menyimulasikan gempa dengan respons getaran yang akurat dan  menjadikannya solusi yang memiliki potensi dalam pengembangan teknologi mitigasi bencana yang terjangkau dan efektif.
Diferensiasi Jahe Emprit Menggunakan Genose 118c Berbasis Principal Component Analysis Pratama, Rayvol Dion; Yulkifli, Yulkifli; Darvina, Yenni; Nofriandi, Alwi; Audia, Washilla
Journal of Comprehensive Science Vol. 4 No. 5 (2025): Journal of Comprehensive Science (JCS)
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/jcs.v4i5.3160

Abstract

Indonesia merupakan salah satu produsen jahe terbesar di dunia, namun kualitas dan keaslian jahe yang beredar di pasaran, khususnya dalam bentuk bubuk, rentan terhadap pemalsuan. Oleh karena itu, diperlukan metode autentikasi yang cepat, akurat, dan efisien. Penelitian ini bertujuan untuk membedakan jahe emprit berdasarkan variasi massa, suhu pemanasan, dan waktu pemanasan menggunakan teknologi electronic nose (GeNose 118C) yang dikombinasikan dengan metode Principal Component Analysis (PCA). Sampel diuji berdasarkan parameter massa (3g, 6g, 9g), suhu (40°C–90°C), dan waktu pemanasan (5–15 menit), kemudian diekstraksi nilai maksimum dari sinyal 8 sensor gas dan dianalisis menggunakan PCA dua dimensi (PC1 dan PC2). Hasil menunjukkan bahwa metode ini mampu membedakan sampel dengan baik: variasi massa (PC1 = 94,59%), variasi suhu (PC1 = 92,17%), dan variasi waktu pemanasan (PC1 = 96,01%). Temuan ini membuktikan efektivitas E-nose berbasis PCA dalam klasifikasi jahe emprit melalui deteksi senyawa volatil. Implikasi penelitian ini penting bagi pengembangan sistem autentikasi rempah-rempah berbasis aroma yang cepat, murah, dan aplikatif, terutama dalam industri pengolahan herbal dan kontrol mutu pangan.