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Pemberian pakan babi otomatis berbasis Arduino Mega Aloysius Gonzaga Lai Boro; Aries Boedi Setiawan
SinarFe7 Vol. 2 No. 1 (2019): Sinarfe7-2 2019
Publisher : FORTEI Regional VII Jawa Timur

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Abstract

Penelitian ini di laksanakan di peternakan babi milik Bapak Santo, di Bandulan Barat, Kecamatan Sukun Kota Malang Provinsi Jawa Timur selama 4 minggu (1 bulan).penelitian ini menggunakan 4 ekor babi dimana 2 ekor diberi pakan secara otomatis dan 2 ekornya tetap menggunakan cara manual. Tujuan dari penelitian ini adalah dapat memberi informasi kepada peternak mengenai efek dari memberi makan tepat waktu terhadap peningkatan bobot babi. Metode yang digunakan adalah percobaan (eksperimen) yang terdiri dari 2 percobaan yang pertama dilakukan pemberian pakan secara otomatis terhadap 2 ekor babi yang kedua memberi pakan secara manual terhadap 2 ekor babi sehingga dapat menemukan perbandingan dari percoaan tersebut . Melihat hal ini, maka penulis merancang suatu alat pengatur penjadwalan dan pemberian pakan secara otomatis berbasis Arduino Mega 2560. Dengan alat ini, penulis berharap dapat membantu peternak babi dalam meningkatkan bobot babi dan meringankan pekerjaan peternak. Dengan demikian dapat meningkatkan kesejahteraan peternak babi. Hasil dari percobaan menunjukan pertumbuhan babi dengan menggunakan sistem otomatis lebih baik dengan hasil 0,58 – 0,68 kg per harinya.
Pengaturan pH Media Tanam Dan Suhu Tanaman Tomat Pada Sistem Hidroponik Drip Menggunakan Fuzzy Mamdani Budi Prasetya; Aries Boedi Setiawan; Basitha Febrinda Hidayatulail
SinarFe7 Vol. 2 No. 1 (2019): Sinarfe7-2 2019
Publisher : FORTEI Regional VII Jawa Timur

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Abstract

Tanaman Tomat merupakan salah satu komoditas pertanian yang banyak dibutuhkan oleh masyarakat. Kebanyakan petani menanam tomat dengan cara konvensional disawah, ladang atau dikebun tanpa adanya kontrol dan pengukuran hanya mengandalkan pengalaman dan faktor kebiasaan saja, sehingga kebutuhan pH dan suhu ruang tanam dari tanaman tomat tidak dapat diberikan sesuai kebutuhannya,adapun kebutuhan pH dari tanaman tomat berkisar antara 4,5 sampai dengan 6,5 dan suhu ruang tanam 23°C sampai dengan 32°C, dengan metode tanam menggunakan hidroponik drip yang dikontrol dengan penerapan fuzzy mamdani memudahkan dalam melakukan pengaturan pH media tanam menggunakan sensor pH tanah sebagai input dan suhu ruang tanam menggunakan sensor suhu LM35, yang diproses oleh mikrokontroller berbasis arduino, untuk mendapatkan pH dan suhu ruang tanam yang sesuai dengan kebutuhan tanaman tomat, sebagai output sistem maka digunakan fan dan selenoid valve. Dengan melakukan kontrol terhadap nutrisi sesuai dengan kebutuhan tanaman tomat maka buah tomat yang dihasilkan akan memiliki rasa yang lebih manis dan jumlah buah yang lebih banyak dibandingkan dengan tanaman tomat yang ditanam tanpa alat ini.
Pengolahan Citra Untuk Mengetahui Derajat Korosi Pada Insulator Dengan Metode Decision Tree Muhammad Alfitrah Chakra Wardana; Aries Boedi Setiawan; Abd. Rabi
Jurnal Teknik Mesin, Industri, Elektro dan Informatika Vol. 2 No. 4 (2023): Desember : JURNAL TEKNIK MESIN, INDUSTRI, ELEKTRO DAN INFORMATIKA
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jtmei.v2i4.2873

Abstract

One of the important parts that ensures the availability of electrical energy supplies which takes place from the central power plant and then through the transmission line to distribution to the load is the insulator. However, over time, insulators can experience anomalies such as corrosion. Insulator corrosion can be caused by many environmental factors, including pollution, humidity, high temperatures and exposure to chemicals. Previously, maintenance personnel usually identified the level of corrosion on insulators visually by using their knowledge and experience through routine inspection activities to check the condition of the insulators. This technique, however, takes a long time and is often subjective. Therefore, in this research, the way to detect the degree of corrosion on insulators is by using image processing and using active contour segmentation to determine the degree of corrosion on insulators and using decision trees as a method to create a classification model for the degree of corrosion. This can help reduce reliance on subjective human judgment, increase the effectiveness of the recognition process, and optimize overall isolator maintenance efforts. The application created in this research has a user interface that makes it easier to process images of corrosion insulators. The front page, practice page, and test page comprise this interface. Meanwhile, the results of classification using a decision tree for the low category are in the ratio x1 < 0.082104, the medium category is in the ratio 0.082104 =< x1 < 0.15061, and the high category is in the ratio x1 >= 0.15061 with an accuracy result obtained of 93.33% for test image data and recall and precision values ​​obtained 100% results.
Rancang Bangun Kendali Aircraft Jacking pada Pesawat Boeing 737-800 untuk Pengaturan Sudut Kemiringan Aditya Ghiffari Rukmananda; Aries Boedi Setiawan; Wahyu Dirgantara
Venus: Jurnal Publikasi Rumpun Ilmu Teknik  Vol. 2 No. 6 (2024): Desember : Venus: Jurnal Publikasi Rumpun Ilmu Teknik
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/venus.v2i6.657

Abstract

This research aims to design an Aircraft Jacking control system for the Boeing 737-800 to automatically balance the aircraft's inclination using an MPU6050 sensor and servo actuators. The system can detect pitch and roll angles with an accuracy of ±0.5° and an average response time of 150 ms. Based on tests using five datasets, the balancing time ranges from 400 to 600 ms, depending on the initial imbalance. In Dataset 5, with a pitch of 3.5° and a roll of -2.3°, the system required 600 ms to achieve balance, demonstrating its ability to handle critical conditions. The servo actuators successfully adjusted the jacking height within a range of 2 cm with a precision of ±0.02 cm, while the OLED-based monitoring system allowed operators to observe the inclination angles in real-time. Furthermore, ESP-NOW-based communication achieved a data transmission success rate of 98%, supporting efficient centralized control. This research demonstrates the system's effectiveness in balancing the aircraft quickly and accurately, providing a foundation for further development under extreme conditions and energy efficiency improvements.
Model PLTA Skala Kecil dengan Generator DC 24 Volt Yeskiel Astara; Aries Boedi Setiawan; Wahyu Dirgantara
JURNAL RISET RUMPUN ILMU TEKNIK Vol. 4 No. 2 (2025): Agustus : Jurnal Riset Rumpun Ilmu Teknik
Publisher : Pusat riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jurritek.v4i2.6094

Abstract

Small-scale Hydropower Plants (HPP) are an effective renewable energy alternative to meet electricity needs in remote areas. This study aims to develop and test a small-scale HPP model using a 24-volt DC generator as the main component. The development process involves analyzing water flow rates, head height, and the conversion of mechanical energy into electrical energy. The 24-volt DC generator was chosen due to its availability, high efficiency, and ease of integration with energy storage systems.This small-scale HPP model is expected to provide a reliable electricity solution for households or small communities, particularly in areas not yet connected to conventional power grids. This study also paves the way for further development, especially in optimizing design and utilizing more efficient components. With a generator capacity of 24 volts, the voltage produced will tend to be stable compared to a generator with a capacity of 12 volts. So that this study is able to provide an accurate impact given by the water discharge that drives the.