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Rancang Bangun Sistem Pemantauan Cuaca Menggunakan Sensor Kecepatan Angin, Suhu dan Kelembaban Berbasis Internet of Things. Alamsyah Alamsyah; Tan Suryani Sollu; I Komang Martawan; Kristanti Bongkaombo; Nurpadila
Jurnal Fokus Elektroda : Energi Listrik, Telekomunikasi, Komputer, Elektronika dan Kendali) Vol. 9 No. 1 (2024): Jurnal Fokus Elektroda Vol 9 No 1 2024
Publisher : Jurusan Teknik Elektro Fakultas Teknik Universitas Halu Oleo

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Weather is information that is very necessary, especially on agricultural land, to support plant growth, productivity, and yield. Weather monitoring currently still uses a manual system, so it requires quite a lot of time and energy. Apart from that, manual monitoring also allows limited types of data that can be measured directly by humans. The weather monitoring system design is based on the parameters used, namely temperature, humidity, and wind speed, using the LoRa module, which can be accessed online and offline and in real-time on the website and LCD. The test results show that the system can work well with an average level of accuracy for each temperature, humidity, and wind speed sensor of 98.19%, 99.325%, and 98.17%, respectively.
IMPLEMENTASI ALGORITMA FUZZY PADA SISTEM KONTROL AQUAPONIK PADI Kahfi, Ibnu; Fauzi, Rizana; Subito, Mery; Sollu, Tan Suryani; Alamsyah, Alamsyah
Foristek Vol. 14 No. 2 (2024): Foristek
Publisher : Foristek

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54757/fs.v14i2.580

Abstract

Aquaponics is an agricultural system that combines fish and plant cultivation in one closed system. In an aquaponics system, the water used for fish cultivation is also used to irrigate plants with rice aquaponics as one example. However, monitoring and controlling aquaponic systems is still done manually, which has many shortcomings, including requiring a relatively long time and accuracy that is not guaranteed, especially in large-scale aquaponics management. Implementing the fuzzy algorithm in the rice aquaponics control system aims to make it easier for farmers to monitor the condition of the rice and control the water change system in the pond in real time via the Blynk application on their smartphone. This system combines ESP-32 technology, fuzzy algorithms, and the Internet of Things (IoT) to monitor and control the rice aquaponics system. The results of data collection from the implementation of the fuzzy algorithm in the rice aquaponics control system show that the tool functions well. This tool can monitor the condition of rice and control the water change system in the pond in real time using the Blynk application. The level of accuracy of implementing the fuzzy algorithm for monitoring rice conditions was 99.61% and the accuracy of implementing the fuzzy algorithm for pump control of the water change system was 98.95%.
Classification of weather conditions based on automatic weather station data using a multi-layer perceptron neural network Indrajaya, Muhammad Aristo; Sollu, Tan Suryani; Subito, Mery; Rahman, Yuli Asmi; Saputra, Erwin Ardias
Indonesian Journal of Electrical Engineering and Computer Science Vol 37, No 1: January 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v37.i1.pp540-550

Abstract

Weather is one of the important elements that greatly determines human activities, especially those related to economic factors. Therefore, understanding weather conditions using weather parameters as a reference is important for human life, so a method is needed to classify weather according to its category so that the information produced can be used for various needs. Determining weather conditions in an area will not run well without a reliable method that can analyze existing weather parameters. Therefore, in this study, the weather condition classification process was carried out using the multilayer perceptron algorithm, a type of neural network (NN) algorithm. All data analyzed were weather parameter data collected by mini weather stations placed on land. The weather parameters used were temperature, humidity, air pressure, wind speed, dew point, wind chill, daily rainfall, solar radiation, and UV index. This study was conducted in Palu city, Central Sulawesi Province, Indonesia. The classification process carried out by the multilayer perceptron algorithm was carried out on the Altair AI Studio application and produced an accuracy value of 93.87%, recall of 92.33%, and precision of 91.29%.
Sistem Monitoring Suhu Tubuh, Detak Jantung dan Saturasi Oksigen Berbasis Web Server Alamsyah, Alamsyah; Sollu, Tan Suryani; S, Candra
Techno.Com Vol. 24 No. 2 (2025): Mei 2025
Publisher : LPPM Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62411/tc.v24i2.12781

Abstract

Sistem monitoring kesehatan seperti suhu tubuh, detak jantung, dan saturasi oksigen merupakan aspek yang sangat vital dalam mendeteksi gejala awal dari berbagai penyakit seseorang terutama dalam kondisi pasca-pandemi COVID-19. Namun, permasalahan yang muncul adalah adanya keterbatasan dalam sistem monitoring konvensional yang bersifat manual dan tidak real-time yang seringkali menghambat efisiensi dalam proses memonitoring kesehatan, khususnya di lingkungan rumah sakit, puskesmas, atau pemantauan individu di rumah. Untuk itu, tujuan penelitian ini adalah merancang dan mengembangkan sistem monitoring kesehatan yang mampu mengukur tanda-tanda vital sign secara real-time dan terintegrasi dengan web server agar data dapat diakses secara jarak jauh melalui smartphone. Penerapan metode yang digunakan dalam penelitian ini mencakup perancangan perangkat keras menggunakan sensor MLX90614 untuk suhu tubuh, sensor MAX30100 untuk denyut jantung dan saturasi oksigen, serta mikrokontroler ESP32-CAM yang memiliki konektivitas Wi-Fi dan kamera. Data yang diperoleh dari sensor dikirimkan secara otomatis ke web server berbasis protokol HTTP dan ditampilkan dalam antarmuka berbasis web yang ramah pengguna. Kebaruan dari penelitian ini terletak pada integrasi sensor vital sign dengan ESP32-CAM berbasis IoT yang tidak hanya mengirimkan data biometrik secara real-time, tetapi juga memungkinkan pengawasan visual melalui kamera bawaan, yang sangat berguna untuk verifikasi pasien dalam konteks monitoring jarak jauh. Hasil pengujian sistem menunjukkan bahwa perangkat mampu membaca dan mengirimkan data dengan tingkat akurasi rata-rata suhu tubuh sebesar 99,34 %, detak jantung sebesar 87,89 %, dan saturasi oksigen sebesar 99,13%.   Kata Kunci - monitoring, suhu, detak jantung, saturasi oksigen, web server.
SISTEM MONITORING CUACA PADA LAHAN PERTANIAN BERBASIS IoT Julianto, Diki; Sollu, Tan Suryani; Alamsyah, Alamsyah; Mustari, Aidynal; Martdiansyah, Martdiansyah
Foristek Vol. 15 No. 1 (2025): Foristek
Publisher : Foristek

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54757/fs.v15i1.753

Abstract

Weather is information that is very necessary, especially on agricultural land, to support plant growth, productivity, and yield. Weather monitoring currently still uses a manual system, so it requires quite a lot of time and energy. Apart from that, manual monitoring also allows limited types of data that can be measured directly by humans. The weather monitoring system design is based on the parameters used, namely temperature, humidity, wind speed, light intensity, and rain conditions, using the LoRa module, which can be accessed online and offline and in real- time on the website and LCD.The test results show that the system can work well with the parameters used, namely temperature, with an average error value of 1.81% and an accuracy of 98.19%; humidity, with an average error value of 0.675 and an accuracy of 99.325%; and average wind speed. The error value is 1.83% with an accuracy of 98.17%, the average light intensity error value is 2.42% with an accuracy of 97.58%, and the rainy conditions are successful in providing information whether it is raining or not.
Peningkatan Kompetensi Guru SD Inpres 3 Tatura Melalui Pelatihan Google Classroom Sebagai Media Pembelajaran Daring Alamsyah, Alamsyah; Sollu, Tan Suryani; Anggriani, Riri; Adrianton, Adrianton
Jurnal Masyarakat Madani Indonesia Vol. 4 No. 3 (2025): Agustus
Publisher : Alesha Media Digital

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59025/0q6qwe51

Abstract

Perkembangan teknologi informasi dalam dunia pendidikan menuntut guru untuk mampu mengintegrasikan perangkat digital ke dalam proses pembelajaran, terutama dalam konteks pembelajaran daring. Namun, mitra kegiatan, yaitu guru-guru di Sekolah Dasar Inpres 3 tatura, mengalami kendala dalam pemanfaatan platform Google Classroom sebagai media pembelajaran. Permasalahan yang dihadapi meliputi rendahnya pemahaman terhadap fitur-fitur Google Classroom, kurangnya keterampilan teknis dalam mengelola kelas digital, serta keterbatasan pengalaman dalam menyusun materi ajar secara daring. Untuk mengatasi permasalahan tersebut, tim pelaksana mengusulkan program pelatihan Google Classroom secara bertahap dan praktis, dengan pendekatan partisipatif dan berbasis kebutuhan mitra. Tujuan kegiatan ini adalah meningkatkan kompetensi digital guru, khususnya dalam perencanaan, pelaksanaan, dan evaluasi pembelajaran melalui Google Classroom. Metode pelaksanaan kegiatan terdiri dari observasi awal, penyusunan modul pelatihan, pelaksanaan workshop secara langsung, sesi praktik mandiri, dan evaluasi pascapelatihan. Hasil kegiatan menunjukkan bahwa 90% peserta mengalami peningkatan signifikan dalam keterampilan menggunakan Google Classroom, baik dalam membuat kelas, mengelola tugas, maupun melakukan interaksi digital dengan siswa. Kesimpulannya, pelatihan ini efektif dalam meningkatkan kompetensi digital guru, serta memberikan kontribusi nyata dalam mendukung pembelajaran daring yang lebih efisien dan interaktif.
PERANCANGAN SISTEM ANTRIAN ANTI COVID 19 BERBASIS INTERNET of THINGS MENGGUNAKAN RASPBERRY Pi W ZERO Laksmana, Agum; Amir, Ardi; Sollu, Tan Suryani; Indrajaya, Muhammad Aristo
Foristek Vol. 12 No. 2 (2022): Foristek
Publisher : Foristek

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54757/fs.v13i2.148

Abstract

Utilization of electronic technology in various aspects of human life, both in household needs, education, industry, and human habitation itself. In this discussion is how to design a queuing system based on the Internet of Things using a Raspberry Pi W Zero controller. Internet of Things is a concept in which an object or object is implanted with technologies such as sensors and software with the aim of communicating, controlling, connecting, and exchanging data through other devices while still connected to the internet. In designing this queuing system, a website is needed to support this tool to make it easier for users to register online without having to manually take queue numbers. The programming language used for the Raspberry Pi W Zero controller uses python. Testing this queuing system 100% went well and according to what was designed for the design of an Internet of Things based anti covid 19 queuing system using the Raspberry Pi W Zero. With this tool, it can make it easier for users to register queue numbers and be able to run the appropriate Health protocol system.
RANCANG BANGUN SOLAR TRACKER DENGAN PENGUKURAN ARUS DAN TEGANGAN SECARA DIGITAL BERBASIS MIKROKONTROLER Saputra, Erwin Ardias; Fauzi, Rizana; Sollu, Tan Suryani; Demmassewa, Jurnianto
Foristek Vol. 13 No. 1 (2023): Foristek
Publisher : Foristek

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54757/fs.v14i1.254

Abstract

The design of a solar tracker with digital current and voltage measurements based on a microcontroller is a system that can follow the direction of the sun automatically based on the LDR sensor. The working principle of this tool is to direct the solar panels to follow the direction of the sun automatically and the current and voltage can be monitored digitally based on a data logger. The result of this design is that the solar tracker is programmed using Arduino Uno as the control center, LDR sensor for detecting sunlight as a determinant of the slope of the solar panel to the sun. To drive it, it uses two (2) power window motors which are controlled using the BTS7960 motor driver, and uses the INA219 sensor to measure the current and voltage. The output current and voltage of the solar panel is displayed on the LCD (Liquid Crystal Display) and can be monitored using the PLX-daq data logger.
RANCANG BANGUN TEMPAT SAMPAH OTOMATIS DENGAN PEMILAH SAMPAH ORGANIK DAN ANORGANIK DISERTAI NOTIFIKASI SMS BERBASIS ARDUINO Santoso, Rudi Santoso; Qisti, Saiful; Subito, Mery; Sollu, Tan Suryani; Fauzi, Rizana; Ardias, Erwin
Foristek Vol. 13 No. 2 (2023): Foristek
Publisher : Foristek

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54757/fs.v14i2.323

Abstract

Garbage is a material left over from human activities which is an environmental issue and causes environmental pollution. Humans themselves are lazy to throw garbage in its place or are accustomed to littering, causing garbage to be scattered everywhere which in turn can cause garbage pollution, unpleasant odors and in the end can cause flooding. In this study, we will make a tool to sort organic and inorganic waste along with an Arduino-based SMS notification, namely by making a tool to sort out the types of organic waste and inorganic waste types which will later be classified separately and collected in their own place so that the waste is not mixed. To distinguish organic and inorganic waste using a capacitive proximity sensor as a separator of organic waste, an inductive proximity sensor as a separator of inorganic waste, arduino nano as a microcontroller to run all the work of the tool system. Servo motor as a sorting drive. GSM SIM 800l module as a sender of SMS notification of garbage that has been successfully sorted.
IMPLEMENTASI SENSOR FLEX PADA PENYANDANG DIFABEL MENGGUNAKAN DFPLAYER SEBAGAI INFORMASI AUDIO Rasyid, Anas; Sollu, Tan Suryani; Indrajaya, Muhammad Aristo; Alamsyah, Alamsyah
Foristek Vol. 14 No. 1 (2024): Foristek
Publisher : Foristek

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54757/fs.v14i1.372

Abstract

Sign language is a form of language that can be learned which prioritizes communication with body language, facial expressions, and some non-sounds. This sign language is widely used by the deaf and mute. However, there is still a lack of institutions teaching sign language, books on sign language, and a tool for learning sign language. This study aims to design a hardware system that can translate sign language and output in the form of audio and display on the LCD. The stages of the research included designing the physical form of the device, testing the sensor flex, testing the MPU6050, testing the Nrf24l01, testing the Dfplayer, testing the Liquid Crystal Display (LCD), and testing the overall device on the A-Z alphabet. The results showed that when the Flex sensor was not indented the average error was 1.23%, and when it was indented the average error was 2.01%. The delay time required in sending data using Nrf24l01 media for conditions without obstructions is 0 seconds with a distance of 1 meter, with a barrier of 9.84 seconds with a distance of 3 meters, at a distance of 3 meters the data cannot be sent.