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Rancang Bangun Monitoring dan Pengendali Suhu, pH dan Kekeruhan Air pada Smart Akuarium Utami, Amalia Rizqi; Erlangga, Muhamad; Sugiarto, Kharis
SPECTA Journal of Technology Vol. 8 No. 1 (2024): SPECTA Journal of Technology
Publisher : LPPM ITK

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35718/specta.v8i1.1171

Abstract

Fish is a food source that is easily obtained in Indonesia, fish can not only be found in rivers and the sea. Along with developments in technology, fish can be cultivated at home with limited land. In fish farming, water quality has a major influence on fish production. There are several parameters that can be used as a reference to determine whether water is said to have good quality, namely temperature, pH and water turbidity. In this research, ESP32 is used as a microcontroller to process the readings of the temperature sensor DS18B20, pH sensor and TDS sensor in the aquarium, with data that can be monitored via LCD and smartphone. This tool can set the pump ON/OFF based on predetermined water condition parameters. The comparison results between aquariums that use smart aquariums and aquariums that do not use smart aquariums show that using smart aquariums is more effective in maintaining water quality (pH 6.8, temperature 29.4ºC, turbidity 96 ppm) compared to not using smart aquariums (pH 3.5, temperature 28.9ºC, turbidity 178 ppm). Using a smart aquarium is also more efficient because it only consumes an average of 64.6 watts per day with a monthly cost of IDR 2,798, compared to a continuous pump which consumes 324 watts per day with a monthly cost of IDR 14,035. So pumps controlled by smart aquariums can better maintain water quality and save electricity costs.
Soialisasi Pengelolaan Bank Sampah Serta Pengembangan Pendidikan Anak di Kelurahan Sungai Nangka Balikpapan Sugiarto, Kharis; Utami, Amalia Rizqi; Yuniar, Risty Jayanti; Rombe, Nelson
ADMA : Jurnal Pengabdian dan Pemberdayaan Masyarakat Vol 3 No 2 (2023): ADMA: Jurnal Pengabdian dan Pemberdayaan Masyarakat
Publisher : LPPM Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/adma.v3i2.2556

Abstract

During this pandemic, environmental hygiene needs to be maintained to prevent the spread of the Covid-19 virus and other diseases. Environmental cleanliness must be a concern for all aspects of the community. In Sungai Nangka Village, RT.10, waste management is still not optimal so it has a negative impact on environmental conditions and raises various environmental problems. To follow up on this waste problem, it is necessary to have a commitment with the community in their participation to be able to manage waste so that it can be something useful and reduce environmental problems. One of the innovations in dealing with this case is through managing waste starting from the source, which can be started from the waste bank. The waste bank itself is a place for sorting and collecting waste that can be recycled and reused so that it has beneficial economic value. Apart from the waste problem, the pandemic also has an impact on the education of children in Sungai Nangka Village. Currently, formal education activities are conducted online and school children are required to study from home. This makes it difficult for children to learn because they are unable to follow the material presented online. Learning difficulties can lead to a decrease in children's achievement. Children who have problems with learning can usually be seen from several factors, namely the achievement achieved by the class group is relatively low, the results are not balanced with the effort made, and are late in doing learning assignments. The implementation of this community service activity is expected to increase public understanding of handling environmental problems, and education for children in Sungai Nangka Village, RT.10.
Identifikasi Zona Warna Dengan Sensor TCS3200 Pada Robot KRSTI Sugiarto, Kharis; Sulthana Hilmi, Kafin; Pradana, Argya; Fadhillah, Irvan
Jurnal Sistim Informasi dan Teknologi 2023, Vol. 5, No. 4
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60083/jsisfotek.v5i4.320

Abstract

Robot seni tari Engang ITK yang berpartisipasi dalam Kontes Robot Seni Tari Indonesia (KRSTI) saat ini belum dapat secara akurat mengidentifikasi zona warna di arena lomba. Kekurangan ini mengakibatkan robot menampilkan gerakan tarian yang tidak tepat sesuai lokasinya. Untuk mengatasi hal ini, diperlukan kontrol otomatis yang menggunakan sensor warna TCS3200. Sensor TCS3200 akan memperoleh informasi mengenai komposisi RGB secara akurat melalui perhitungan frekuensi. Hasil dari penelitian ini menunjukkan bahwa robot seni Engang ITK berhasil membedakan zona dengan memanfaatkan warna putih, biru, merah, hijau dan biru muda dengan tingkat keberhasilan sebesar 80%. Ketika robot mendeteksi warna yang sudah ditentukan untuk setiap zona, secara otomatis robot akan menampilkan gerakan tarian yang telah diprogram sesuai dengan zona. Ketika robot berpindah ke zona dengan warna yang berbeda, robot akan menghentikan gerakan menari pada zona sebelumnya dan memulai gerakan menari yang sesuai dengan zona yang baru. Meskipun demikian, terdapat banyak gangguan (noise) saat melakukan pengujian sehingga nilai RGB yang digunakan untuk mengatur gerakan tarian berubah-ubah, sehingga robot tidak responsif terhadap perintah yang dimasukkan ke dalam program. Nilai RGB yang stabil diperoleh ketika kondisi badan robot tegak lurus terhadap zona warna. Nilai inilah yang digunakan sebagai acuan untuk gerakan menari yang sesuai.
Implementing hue-saturation-value filter and circle hough transform for object tracking on ball-wheeled robot Sugiarto, Kharis; Kusuma, Vicky Andria; Firdaus, Aji Akbar; Suprapto, Sena Sukmananda; Putra, Dimas Fajar Uman
International Journal of Reconfigurable and Embedded Systems (IJRES) Vol 13, No 1: March 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijres.v13.i1.pp52-58

Abstract

The ball-wheeled robot relies on a camera for receiving information on the object to be followed. Object tracing is one of the methods that can be used for detecting object movement. In recognizing objects around it, the robot requires an image analysis process that involves visual perception. Image processing is the process of processing and analyzing images that involves visual perception, and is characterized by input data and output information in the form of images. This is how the robot can see objects around it and then be assisted by computer vision to make a decision. The object tracking method with hue-saturation-value (HSV) colour filtering and shape recognition with circle hough transform (CHT) is applied to the ball-wheeled robot. The front vision of the robot uses HSV colour filtering with various test values to determine the thresholding value, and it was found that the ball could be identified up to a distance of 1,000 cm. To further improve the performance of recognizing the ball object, CHT was applied. It was found that the ball could be identified up to a distance of 700 cm. Furthermore, the ball can be identified in obstructed conditions up to 75%.
Perancangan Plant Automation untuk Battery Monitoring System Menggunakan Arduino Uno Saputra, Riza Hadi; Sugiarto, Kharis; Lesmana, Muhammad Faisal
Jurnal Teknik Elektro dan Komputasi (ELKOM) Vol 6, No 1 (2024): ELKOM
Publisher : Universitas Muhammadiyah Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32528/elkom.v6i1.10062

Abstract

BMS (Battery Monitoring System) merupakan contoh penerapan otomasi dalam pengawasan dan pemantauan baterai. Dalam perancangan otomasi pada BMS sederhana, terdapat empat parameter yang diawasi, yaitu tegangan, arus, temperatur, dan SOC (State Of Charge). Pada parameter tegangan, terdapat selisih antara nilai yang dihasilkan dengan multimeter dan nilai yang ditampilkan pada database, yakni sekitar 0.1 V hingga 0.35 V. Meskipun terdapat perbedaan tersebut, hasil analisis menggunakan Mean Squared Error (MSE) menunjukkan nilai sekitar 0.19, yang mengindikasikan bahwa alat yang dibuat dapat dianggap layak. Parameter arus listrik juga mengalami perbedaan antara nilai yang diukur dan nilai sebenarnya. Nilai arus negatif menunjukkan tidak adanya beban yang terhubung, sedangkan nilai arus positif menunjukkan adanya beban yang terhubung. Terdapat selisih antara nilai arus listrik yang diukur dan nilai sebenarnya sebesar 0.002 A hingga 0.02 A, dengan nilai MSE percobaan sebesar 2. Pada parameter SOC, terdapat kesulitan dalam penggunaan sintaks "map" yang mengakibatkan banyak kesalahan saat terjadi penurunan tegangan. Nilai selisih SOC berkisar antara 1% hingga 10%, dan menghasilkan nilai MSE sebesar 4.39. Terakhir, parameter temperatur juga menunjukkan selisih antara nilai pengukuran dan nilai sebenarnya sebesar 0.0210C hingga 0.6450C. Hasil analisis MSE akan menjadi dasar untuk mengevaluasi keberhasilan alat otomasi yang dirancang. Evaluasi ini penting dalam menentukan apakah alat tersebut memenuhi standar yang ditetapkan dan dapat diandalkan dalam pemantauan baterai. Dengan demikian, pemahaman terhadap hasil otomasi pada BMS sederhana ini memberikan kontribusi penting dalam pengembangan teknologi otomasi yang lebih efektif di masa depan.