Articles
<![CDATA[The Implementation of MQTT Protocol using PT-100 for Monitoring the Vaccine Temperature ]]>
<![CDATA[Sigit Pramono]]>;
<![CDATA[Slamet Indriyanto]]>;
<![CDATA[Wahyu Junianto]]>
<![CDATA[ Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 6 No 2 (2022): April 2022 ]]>
Publisher : <![CDATA[Ikatan Ahli Informatika Indonesia (IAII) ]]>
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DOI: 10.29207/resti.v6i2.3988
<![CDATA[A vaccine has an essential role for humans because it can reduce the effect of organism infection and activate the body's immune. The limitation of temperature when the vaccine is stored becomes one of the influential factors for its quality. Since the recent technique used for checking the temperature is manual, the process of real-time temperature monitoring cannot be done and becomes the main problem in the process of storing vaccines. This research is aimed to develop a system for measuring temperature on a chiller through a temperature sensor and the internet of things automatically. The methods used in the MQTT protocol are published and subscribed. The quality of service (QoS) to measure network capability and PT-100 is the sensor in this research because it has a high accuracy level, linear signal change, and fast response. This sensor can measure glycol liquid with a temperature range of 2-8°C. Data distribution uses an ESP module to connect the data to Antares through the wifi network. The temperature value measurement using PT-100 toward vaccine chiller temperature obtains an accuracy value of 99,32%. This accuracy value shows that the result is compatible with the logger data measurement tool development used with an error result of 0.58%. Delay parameter testing on the quality of service level obtains the average value of 41.91 ms, while the Packet loss parameter obtains the value of 0%.]]>
<![CDATA[Sistem Monitoring Tekanan Pada Pipa Air Menggunakan Arduino Uno Pada Jaringan Lora 920-923 Mhz ]]>
<![CDATA[Sigit Pramono]]>;
<![CDATA[Prasetyo Yuliantoro]]>;
<![CDATA[Savena Rinda Pamungkas]]>
<![CDATA[ JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 6, No 1 (2022): Januari 2022 ]]>
Publisher : <![CDATA[STMIK Budi Darma ]]>
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DOI: 10.30865/mib.v6i1.3448
<![CDATA[In everyday life water is one of the components that is very important and becomes a basic need for human life and other living things. Of course, when flowing water to all corners there are obstacles such as leaks in water pipes that can be caused by air pressure. These leaks can cause the flowing water to get dirty or even not flow all the way to the destination. Therefore, this study will be created a pressure monitoring system on water pipes that will use pressure transmitter sensors that serve to read the pressure on water pipes using LoRaWAN data communication, this communication is used because the device can communicate up to a distance of 5 to 15 kilometers. To connect or send data from the sensor to LoRa requires an Arduino uno that will process the data from the sensor to be used. To store data using the Antares platform. This research is useful for monitoring pressure on water pipes and minimizing leaks in pipes. By using the method of calculating linear regression equations obtained a very accurate value for water pressure readings on pressure sensors that are 98.9%, while the results of testing the values received signal strength indicator (RSSI), signal noise radio (SNR) and packet loss are interconnected, in the value of RSSI and SNR the smaller the packet loss the more data is lost. The use of Spreading Factor values can also be taken into account if you want a longer range with a small packet loss result.]]>
<![CDATA[IMPLEMENTATION OF LINIER REGRESSIONUSING THE JSN-SR04T SENSOR FOR THE MONITORING WATER LEVEL IN WATER TANKS THROUGH ANTARES PLATFORM ]]>
<![CDATA[Garnis Hasna Iftinan Apsari]]>;
<![CDATA[Sigit Pramono]]>;
<![CDATA[Nur Afifah Zen]]>
<![CDATA[ Journal of Electronic and Electrical Power Applications Vol. 2 No. 2 (2022): JEEPA Volume 2 Nomor 2 ]]>
Publisher : <![CDATA[Program Studi Teknik Elektro Universitas Peradaban ]]>
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DOI: 10.58436/jeepa.v2i2.1277
<![CDATA[Its use as a water storage location means that it is not uncommon for the water tank to overflow if the water level exceeds the maximum limit. One of the airtight ultrasonic sensors is the JSN-SR04T ultrasonic sensor for measuring water levels. However, this sensor has a weakness in the measurement reading that is less accurate. One way to improve the accuracy of this sensor's reading is to use the Linear Regression method. The purpose of this research is to test the accuracy of sensor measurement and the effect of linear regression implementation. The platform used in this research is Antares which is used for storing measurement data results. The results of the sensor measurement test show that the sensor is less accurate in measurement, after being implemented with the linear regression method the measurement results are approaching accurate but there is still a slight difference. The linear regression method is able to improve the accuracy of measurement data results better than before using linear regression.]]>
<![CDATA[IMPLEMENTATION OF MOVING AVERAGE FILTER FOR THE MONITORING WATER LEVEL IN WATER TANKS USING ANTARES. ]]>
<![CDATA[Raffi Noval Pambudi]]>;
<![CDATA[Slamet Indriyanto]]>;
<![CDATA[Sigit Pramono]]>
<![CDATA[ Journal of Electronic and Electrical Power Applications Vol. 2 No. 2 (2022): JEEPA Volume 2 Nomor 2 ]]>
Publisher : <![CDATA[Program Studi Teknik Elektro Universitas Peradaban ]]>
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DOI: 10.58436/jeepa.v2i2.1279
<![CDATA[Almost all monitoring systems for measuring the height of water reservoirs use ultrasonic sensors. One of the ultrasonic sensors that is already waterproof is the JSN-SR04T ultrasonic sensor. However, this sensor has a weakness, namely the high error rate of sensor readings, thereby reducing the accuracy of sensor readings. One way to reduce errors that occur in sensors is to implement a Moving Average Filter (MAF) data filter. The MAF used in this study are MAF 5 and MAF 10. The purpose of this study is to test the sensor by comparing the sensor error value if not using MAF by using MAF 5 and MAF 10. For the monitoring system and the database of sensor measurement results used in this study is to use the Antares platform. The test results of the JSN-SR04T ultrasonic sensor reading value state that if the sensor does not use MAF, the sensor reading value produces an average error of 5.41%. Then if the sensor uses MAF 5 produces an average error of 3.42% and MAF 10 produces an average error of 5.21%. These results prove that the implementation of the Moving Average Filter is able to reduce the JSN-SR04T ultrasonic sensor reading error.]]>
<![CDATA[Implementasi Moving Average Filter untuk Sensor Tegangan pada Sistem Kontrol dan Monitoring Lampu Jalan ]]>
<![CDATA[Sigit Pramono]]>;
<![CDATA[Jhon Bryan Tarihoran]]>;
<![CDATA[Gunawan Wibisono]]>
<![CDATA[ Dinamika Rekayasa Vol 19, No 1 (2023): Jurnal Ilmiah Dinamika Rekayasa - Februari 2023 ]]>
Publisher : <![CDATA[Jenderal Soedirman University ]]>
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DOI: 10.20884/1.dr.2023.19.1.536
<![CDATA[Perkembangan teknologi saat ini mampu memanfaatkan infrastruktur yang ada sebagai jalur komunikasi. Power line Carrier (PLC) adalah teknologi komunikasi data yang dilakukan melalui kabel listrik. Penerangan jalan yang baik memegang peranan penting terutama pada kondisi malam hari. Penerangan jalan ini berguna untuk menciptakan kondisi jalan yang terang. Untuk memudahkan pengguna mengontrol lampu jalan dan memonitoring lampu dari jarak jauh maka dibuat peralatan untuk mengontrol dan memonitoring lampu melalui PLC. Tujuan dari penelitian ini adalah pengujian sensor tegangan dengan menggunakan Moving Average Filter(MAF) dengan menggunakan PLC pada sistem kontrol dan monitoring lampu jalan dan mengukur kinerja sensor tegangan ZMPT101B menggunakan Moving Average Filter. Sistem yang dirancang memiliki 2 perangkat utama yaitu perangkat kontrol dan sensor lampu kemudian terdapat juga perangkat yang digunakan untuk melakukan monitoring dengan menggunakan display LCD 16x2. Nilai rata-rata persentase error dari keseluruhan nilai tegangan yaitu ketika pembacaan tanpa menggunakan MAF memiliki niliai rata-rata error sebesar 0.38%, kemudian ketika menggunakan MAF 5 persentase error turun menjadi 0.18% dan MAF 10 menghasilkan nilai yang terbaik dengan rata-rata error sebesar 0.14%. Penggunaan filter MAF 10 menghasilkan grafik yang lebih stabil dibandingkan dengan tidak menggunakan filter MAF.]]>
<![CDATA[Sistem Pemantauan Parameter Kelistrikan berbasis Komunikasi LoRaWAN dengan Platform Antares ]]>
<![CDATA[Fredre Nico Panggabean]]>;
<![CDATA[Sigit Pramono]]>;
<![CDATA[Anjar Taufik Hidayat]]>
<![CDATA[ Journal of Electronic and Electrical Power Applications Vol. 3 No. 1 (2023): JEEPA Volume 3 Nomor 1 ]]>
Publisher : <![CDATA[Program Studi Teknik Elektro Universitas Peradaban ]]>
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DOI: 10.58436/jeepa.v3i1.1427
<![CDATA[Electrical power is an important parameter to determine how much electrical energy is consumed or produced. Some systems that consume or generate electricity are located in remote or difficult-to-reach locations, for example monitoring volcanoes or micro-hydro power plants at the mountains. Therefore, we need a tool to monitor the electric power from afar. In this research a tool has been designed that can monitor electrical energy with the PZEM004T-10A sensor in real time using the LoRaWAN network on the Antares platform. From the results of system testing, it can be concluded that the designed system can run well according to its function. The results of the average percentage error reading of the PZEM004T sensor against the power meter measuring instrument show a very good value where the average error obtained in the voltage parameter is 0.45%, while the error value obtained for the current parameter is 0.22%, power is 1.44% and power factor of 0.15%. The performance of the Quality of Service delay value on the network according to the standard criteria issued by TIPHON, the delay value produced by SF7 and SF10 is categorized as a bad delay. Then the delay on SF9 and SF12 is included in the good category, and the delay produced by SF8 and SF11 is categorized as a very good delay. Meanwhile, the packet loss value is included in the very good criteria for SF8-SF12 and good for SF 7.]]>
<![CDATA[Web Server Berbasis ATmega 128 Untuk Monitoring dan Kontrol Peralatan Rumah ]]>
<![CDATA[Sigit Pramono]]>;
<![CDATA[Eka Wahyudi]]>;
<![CDATA[Luthfi Hendra Lukmana Hendra Lukmana]]>
<![CDATA[ JURNAL INFOTEL Vol 7 No 1 (2015): May 2015 ]]>
Publisher : <![CDATA[LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO ]]>
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DOI: 10.20895/infotel.v7i1.31
<![CDATA[Penggunaan mikropengendali untuk mengendalikan perangkat yang ada di rumah tentu menjadi salah satu penerapan prinsip kerja yang praktis dan fleksibel.Mikropengendali dapat digunakan untuk memudahkan dalam mengendalikan lampu ruangan, pemantauan suhu, dan pengendalian sistem penggerak tirai.Dengan memanfaatkan modul jaringanNM7010A TCP/IP Starter Kit maka aplikasi rumah tersebut dapat dikendalikan melalui jaringan intranet. Pada mikropengendali ATmega128, data akan diproses dan dieksekusi untuk mengendalikan sistem kerja keseluruhan rangkaian. Dari hasil pengujian membuktikan bahwa mikropengendali dapat berperan sebagai Embedded Server untuk mengendalikan lampu, pengaktifan kanal Analog to Digital Converter (ADC) yang digunakan untuk memantau suhu.Hasil pengujian terhadap LM35 menunjukan bahwa rata-rata error konversi sebesar 0,64%. Untuk mengeksekusi sistem melalui jaringan TCP/IP diperlukan waktu tunda antara 0,5 sampai 1,2 detik.]]>
<![CDATA[Implementasi Jaringan Hotspot Dengan Sistem Koin Menggunakan Raspberry Pi Dirumah Makan UMI ]]>
<![CDATA[Richi Riyan]]>;
<![CDATA[Sigit Pramono]]>;
<![CDATA[Shinta Romadhona]]>
<![CDATA[ Jurnal Riset Rekayasa Elektro Vol 4, No 2 (2022): JRRE VOL 4 NO 2 DESEMBER 2022 ]]>
Publisher : <![CDATA[LEMBAGA PUBLIKASI ILMIAH DAN PENERBITAN, UNIVERSITAS MUHAMMADIYAH PURWOKERTO ]]>
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DOI: 10.30595/jrre.v4i2.15749
<![CDATA[Perkembangan teknologi khususnya internet sangat berperan dalam kehidupan sehari-hari. Di era modern ini kebutuhan akan internet sudah menjadi hal utama bagi Sebagian besar orang. Rumah makan merupakan usaha mikro yang sangat menguntungkan. Hal ini berdampak pada usaha rumah makan untuk lebih berpikir kreatif dalam menciptakan konsep yang berbeda dari rumah makan yang lainnya. Peningkatan fasilitas pemilik rumah makan dilakukan dalam hal penyedian akses internet secara gratis seperti hotspot agar menarik para konsumen untuk makan dan bersantai menghabiskan waktu luang. Dengan memanfaatkan Mini PC sebagai pengontrol jarak jauh melalui bahahsa pemrograman,menjadikan lebih efisien. Pada penelitian ini menggunakan mini PC Raspberry Pi 3 model b yang memiliki fitur GPIO (general Purpose input output) yang berfungsi sebagai port-port yang mengirimkan perintah sesuai instruksi atau sesuai dengan program yang dibuat. Dalam penelitian ini menggunakan percobaan uang koin 1000 dan 500. mencari jumlah waktu dan bandwidth yang akan didapatkan oleh user. Pada percobaan ini Dilihat dari waktu dan bandwidth yang didapatkan bahwa uang koin 1000 memiliki waktu 10 menit perkoinnya sedangkan uang koin 500 memiliki waktu 5 menit perkoinnya, pada perbandingan ini memiliki besar bandwidth yang sama yaitu 1.024mbps. Waktu dan jumlah bandwidth hanya dapat disetting oleh admin sebagai user hanya mendapatkan apa yang sudah di setting oleh admin.]]>
<![CDATA[Pendugaan Tinggi Muka Air Tanah Pada Lahan Gambut Dengan Menggunakan Sensor Submersible ]]>
<![CDATA[Putra, Erianto Indra]]>;
<![CDATA[Syakbandani, Muhammad Uqbah El]]>;
<![CDATA[Pramono, Sigit]]>;
<![CDATA[Saad, Asmadi]]>
<![CDATA[ Jurnal Silvikultur Tropika Vol 15 No 01 (2024): Journal of Tropical Silviculture ]]>
Publisher : <![CDATA[Departemen Silvikultur, Fakultas Kehutanan dan Lingkungan, Institut Pertanian Bogor (IPB) ]]>
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DOI: 10.29244/j-siltrop.15.01.65-69
<![CDATA[Peatland fires pose a significant challenge in peatland management, with declining groundwater levels being a contributing factor. Real-time monitoring of groundwater levels (GWL) is essential to address this issue effectively. This study examines GWL data collected from submersible sensors and manual readings in peatlands of Tangkit Baru and Pematang Rahim villages, Jambi Province. Results reveal an increase in GWL in Tangkit Baru coinciding with rising precipitation, while Pematang Rahim experiences a contrasting decrease despite heavy rainfall. Statistical analysis, specifically t-tests, indicates no significant difference (p > 0.05) between the two measurement methods. However, slight discrepancies (0.1-1 cm) between submersible sensor and manual measurements underscore the importance of sensor maintenance for accurate GWL assessment. Keywords: Peatlands, sensors, groundwater level]]>
<![CDATA[Pendekatan Algoritma Tree dalam Prediksi Populasi pada Smart Poultry ]]>
<![CDATA[Wahyu Nugroho, Nicolaus Euclides]]>;
<![CDATA[Ramadhan, Nur Ghaniaviyanto]]>;
<![CDATA[Wibowo, Merlinda]]>;
<![CDATA[Pramono, Sigit]]>
<![CDATA[ Building of Informatics, Technology and Science (BITS) Vol 4 No 3 (2022): December 2022 ]]>
Publisher : <![CDATA[Forum Kerjasama Pendidikan Tinggi ]]>
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DOI: 10.47065/bits.v4i3.2609
<![CDATA[Intelligent systems for monitoring poultry in kennels are experiencing an increasing trend in several studies. Monitoring poultry is very important in the cage so that you can find out the chickens' condition and environment in the cage. Conditions that can be monitored include the weight of the chickens, whether or not there is enough water in a day, CO2 levels in the cages, air temperature, and humidity in the cages. Several studies have been conducted studies on monitoring poultry cages using IoT-based sensors. However, people have yet to predict the poultry population for tomorrow. So this study aims to predict the number of poultry populations in kennels based on related parameters. The prediction method used in this research is a decision tree and Support Vector Machine (SVM) to see which prediction method is better. The results evaluation techniques used in this study are Mean Square Error (MSE), Root Mean Square Error (RMSE), Mean Absolute Error (MAE), and R2. The experimental results show that using the decision tree method, and the results are MSE 61987.202, RMSE 248.972, MAE 85.086, and R2 0.969. Overall the results of the decision tree method are superior to SVM.]]>
