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PENGONTROLAN KELEMBABAN TANAH PADA BONSAI SANCANG MENGGUNAKAN METODE FUZZY SUGENO BERBASIS ARDUINO UNO Muchammad Nashiruddin Abdurrachman; Erni Yudaningtyas; Goegoes Dwi Nusantoro
Jurnal Mahasiswa TEUB Vol. 10 No. 4 (2022)
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ABSTRAKPerkembangan teknologi dapat memberikan banyak kemudahan pada manusia. Termasuk kemudahan dalam terotomatisasinya kegiatan-kegiatan yang sebelumnya dilakukan secara manual, salah satunya adalah penyiraman tanaman bonsai. Pada saat ini jumlah pecinta bonsai semakin meningkat dan telah merambah ke generasi muda, pada generasi muda inilah terdapat sedikit masalah dimana mereka memiliki mobilitas yang tinggi sehingga terjadi kesulitan pada saat merawat bonsai. Salah satu aspek yang penting dalam perawatan bonsai adalah penyiraman, sehingga perlu dilakukan kontrol menggunakan metode fuzzy Sugeno agar sesuai dengan kebutuhan bonsai. Logika fuzzy sugeno merupakan salah satu metode dalam logika fuzzy. Input sistem berupa nilai kelembaban akan dibandingkan dengan set point untuk mendapatkan nilai error dan delta error kelembaban. Nilai tersebut akan diproses oleh arduino uno dengan menggunakan metode fuzzy Sugeno sehingga menghasilkan output berupa pengkondisian pompa penyiram bonsai. Berdasarkan implementasi fuzzy Sugeno yang sudah dilakukan dalam sistem penyiram bonsai, sistem yang dirancang telah berhasil melakukan penyiraman otomatis berdasarkan rule-rule yang telah dibuat di awal. Saat pengaplikasian sistem secara langsung pada bonsai sancang juga sudah optimal, sistem mampu menjaga kelembaban tanah sesuai dengan setpoint yaitu nilai kelembaban 60%. Pada saat pengujian didapati respon peralihan sistem berupa settling time 24 detik dengan maximum overshoot 5% dan error steady state sebesar 5%.Kata Kunci: Penyiraman bonsai otomatis, Sancang, Fuzzy Sugeno, Arduino ABSTRACTThe development of technology can provide many conveniences for humans. Including the ease of automating activities that were previously done manually, one of which is watering bonsai plants. At this time the number of bonsai lovers is increasing and has penetrated into the younger generation, in this young generation there is a slight problem where they have high mobility so that there are difficulties when caring for bonsai. One of the important aspects in bonsai care is watering, so it is necessary to control using the Sugeno fuzzy method to suit the needs of bonsai. Sugeno fuzzy logic is one of the methods in fuzzy logic. The system input in the form of humidity values will be compared with the setpoint to get the error value and the humidity error delta. This va

SISTEM PENGONTROLAN SUHU DAN KELEMBABAN PADA ALAT PENGONTROL PENETASAN TELUR AYAM MENGGUNAKAN METODE KONTROL ON-OFF Nandito Ardaffa Putra; n/a Rahmadwati; Goegoes Dwi Nusantoro
Jurnal Mahasiswa TEUB Vol. 10 No. 5 (2022)
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This study describe about design an egg incubator with temperature and humidity control. This study used the on-off control method to design an egg incubator with temperature and humidity control. The output of this control is to determine whether the lights and humidifier will turn off or on. This research has resistance to design, characterization, and testing. The setpoint used was temperature 37℃ on day 1 to and 18 and 36℃ after day 18. Then, the humidity was 60%RH on days 1 to 18 and 75%RH after day 18. Based on the test, it was found that the temperature control system was made using an on-off controller on the 1st to 18th day having ?? = 1910s, ?? = 1710s, ??? = 0,353% , after the 18th day it had ?? = 160s, ?? = 160s, ??? = 0,351%. The humidity control system was made using an on-off controller on days 1 to 18 having ?? = 1670s, ?? = 1870s, ??? = 0,562%. a

IDENTIFIKASI SISTEM PLANT SUHU DAN KELEMBABAN PADA ALAT PENETAS TELUR AYAM DENGAN METODE RECURSIVE LEAST SQUARE Rayyan Ghaus Rahmat; n/a Rahmadwati; Goegoes Dwi Nusantoro
Jurnal Mahasiswa TEUB Vol. 10 No. 5 (2022)
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The identification method can be done by observing a physical system that will provide input and output signals. The input and output signals generated by the system will be calculated with the identification method's algorithm to produce filter parameters that can represent the system. The algorithm used in this thesis is Recursive Least Square (RLS). The components contained in the temperature and humidity plant system, namely the Digital Temperature and Humidity sensor (DHT22), a 25 Watt incandescent lamp, and a 24 Volt mist maker. The structure of the model used in this thesis is the Auto Regressive Moving Average Exogenous (ARMAX). The order used in this thesis is second-order according to the residual analysis, indicating that the second-order graph is between the dotted line and close to the zero axis point. The parameter results obtained at the plant temperature are a1 = -1.331; a2 = - 0.3402; b1 = 0.1775; b2 = –0,1682; c1 = –0.5658; c2 = –0,2031. In plant humidity is a1 = -0.9459; a2 = -0.043202; b1 = 0.008937; b2 = 0.002168; c1 = 0.05638; c2 = 0.03856. Akaike's FPE validation results on the temperature and humidity plant model are 0.009251 and 0.1663, respectively. The accuracy test results with the setpoint signal at the plant temperature and humidity were FIT = 95.43%, respectively; FIT = 93.86%.Keywords: Temperature and Humidity Plant, System Identification, ARMAX, RLS

SISTEM PENGONTROLAN SUHU DAN KELEMBAPAN PADA ALAT PENGONTROL PENETAS TELUR AYAM MENGGUNAKAN PID CONTROLLER DAN KONTROL ON-OFF Afdhol Goyanda Hidayatullah; n/a Rahmadwati; Goegoes Dwi Nusantoro
Jurnal Mahasiswa TEUB Vol. 10 No. 6 (2022)
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Peternak ayam mendapatkan tantangan untuk memenuhi kebutuhan ayam yang semakin meningkat setiaap tahunnya dengan menjaga kualitas dan kuantitasnya. Oleh karena itu, dalam upaya peningkatan usaha pembibitan ayam, para peternak ayam menggunakan inkubator untuk membantu dalam proses penetasan telur ayam. Selain itu inkubator juga dapat meningkatkan kualitas dan kuantitas penetasan telur sehingga para peternak ayam bisa lebih mengembangkan usaha dan meningkatkan keuntungan usaha mereka. adapun konsep dari inkubator yaitu dengan mengontrol lingkungan dengan menggunakan parameter yang ideal selama 21 hari dalam proses penetasan telur, parameter-parameter yang dikontrol diantaranya suhu, kelembaban, dan posisi telur. Suhu yang ideal dalam proses penetasan telur untuk hari ke satu sampai 18 berkisar 36°–38° C dan untuk kelembabannya 55-65%. Setelah hari ke 18, suhu sebaiknya diturunkan menjadi 35°– 37° C dan untuk kelembabannya dinaikkan menjadi 70-80%. Sedangkan untuk posisi telur di gerakan dalam kurun waktu tertentu dan konstan. Setelah proses tadi dilakukan maka para peternak dapat merasakan tingkat keberhasilan antara 80-90%. Pada penelitian ini dirancang sistem untuk mengontrol suhu ruangan menggunakan lampu pijar yang dikontrol menggunakan kontroler PID dan mengontrol kelembaban ruangan menggunakan humidifier yang dikontrol menggunkan Kontrol On-Off. perancangan dilakukan dengan menggunakan metode kurva Ziegler Nichols. Kemudian didapatkan parameter PID dengan aturan Ziegler Nichols kurva reaksi yaitu nilai Kp sebesar 7.407, Ki sebesar 0.04115, dan Kd sebesar 333.315. Respon sistem pengontrolan suhu pada hari ke 1-hingga ke-18 dengan setpoint 36-38℃ memiliki settling time (ts) = 880s dan error steady state sebesar = 0,27%.Dan respon sistem pengontrolan suhu pada hari ke 18-hingga selesai dengan setpoint 35-37℃ memiliki settling time (ts) = 140s dan error steady state sebesar = 0,277%.Sistem pengontrolan kelembaban dibuat dengan menggunakan kontroler on-off. Respon sistem pengontrolan kelembaban pada hari ke-1 hingga ke-18 dengan setpoint 55-65% memiliki time rise (tr) = 1670s, dan memiliki settling time (ts) = 1870s. Batas atas dan bawah saat steady state adalah 60,2 dan 59,6. Dan juga terdapat error steady state sebesar: 0,562%. Respon sistem pengontrolan kelembaban pada hari ke-1 hingga ke-18 dengan setpoint 70-80% memiliki time rise (tr) = 2130s, dan memiliki settling time (ts) = 2270s. Batas atas dan bawah saat steady state adalah 75,8 dan 74,6. Dan juga terdapat error steady state sebesar: 0,531%. Kata Kunci: Penetasan telur ayam, inkubator, suhu dan kelembaban, kontrol PID, kontrol On-Off

SISTEM PENGONTROLAN KELEMBABAN TANAH DENGAN KONTROL LOGIKA FUZZY BERBASIS ARDUINO UNO PADA PERANGKAT SMART GREENHOUSE UNTUK TANAMAN HIAS PURING Affan Affandi; Muhammad Aziz Muslim; Goegoes Dwi Nusantoro
Jurnal Mahasiswa TEUB Vol. 10 No. 6 (2022)
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During the Covid-19 pandemic, caring for ornamental plants was one of the activities that many people liked, resulting in a drastic increase in demand for ornamental plants. However, the process of caring for plants that can bring out their uniqueness is very difficult. The puring plant (Codiaeum Variegatum) is an ornamental plant that is unique in its leaves, the puring plant grows in tropical climates, and requires sufficient water. The benefit of croton plants is that they can degrade the pollutants around them. To optimize the care of croton plants, a device is needed that can meet the water needs of croton plants. The research begins with designing device designs and control systems. Followed by assembling the prototype device and testing it according to the characteristics of the croton plant. Furthermore, data collection and analysis were carried out using the Mamdani method of fuzzy logic control. The fuzzy logic control will regulate the soil moisture needed by croton plants, with a setpoint of 30%RH which is the ideal humidity for croton plants. The test results show that the device can function according to the design that has been made.Keywords: Croton Plant, Fuzzy Logic Control, Mamdani Method, Soil moisture

RANCANG BANGUN SISTEM KONTROL SUHU PADA PERANGKAT SMART GREENHOUSE UNTUK TANAMAN PURING DENGAN FUZZY LOGIC METODE MAMDANI Mochammad Habib Anshory; Muhammad Aziz Muslim; Goegoes Dwi Nusantoro
Jurnal Mahasiswa TEUB Vol. 11 No. 1 (2023)
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When Covid 19 Pandemic, Ornamental plant cultivation is one of favourite sector, thus the farmer of ornamental plant received so many demands cannot fulfil that. Beside of that, there are some kinds of ornamental plant which is hard to be treated. Croton is an ornamental plant which is hard to be treated, but become so famous in Indonesia recently. So a tool that can facilitate the plant is needed to make the plant grown optimally. The research started with designing the smart greenhouse’s design, then designing the hardware and software of the smart greenhouse. After the design is finished, smart greenhouse can be tested with the desired parameter. After it work properly, then carry out the sample data to analyse with the fuzzy logic mamdani method with 28°C as setpoint.Based on the test during the day, System has the output that is able to control the temperature, but it does not match with the setpoint that have been set. Beside of that, system take a long time to reach the steady state condition, which is 45 minutes and 42 seconds. But during the night, system can not work properly because there is no heating actuator in this system Keywords: Temperature, Smart Greenhouse, Fuzzy Logic, Croton

SISTEM PENGONTROLAN INTENSITAS CAHAYA PADA PERANGKAT SMART GREENHOUSE UNTUK TANAMAN HIAS PURING MENGGUNAKAN FUZZY LOGIC CONTROL DENGAN METODE MAMDANI Muhammad Akbar Kamal; Muhammad Aziz Muslim; Goegoes Dwi Nusantoro
Jurnal Mahasiswa TEUB Vol. 11 No. 2 (2023)
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During the Covid-19 pandemic, the cultivation of ornamental plants became one of the activities that people liked a lot. That's because ornamental plants have a value of beauty and attractiveness, so they are usually used for decoration. However, the ways to care for ornamental plants are very diverse and have varying difficulties. The croton plant (Codiaeum Variegatum) is an ornamental plant that stands out on the leaves, the croton plant grows in 2 tropical climates and really needs sunlight. The benefits of the croton plant apart from being an ornamental plant, can also degrade the pollutants around it. With the aim of optimizing the cultivation of croton plants, a device is needed that is able to properly meet all the needs of croton plants. Testing begins with designing the control system and device design. Then proceed with making a prototype device and testing according to the characteristics of croton plants. Furthermore, data collection and data analysis were carried out using fuzzy logic control with the mamdani method. The fuzzy logic control will adjust the light intensity produced by the LED grow light. The setpoint in the test is 600 lux which is the ideal lighting for croton plants. The test results show that the LDR sensor used has an error of 0.08% with a reading error tolerance of ±2%. The sensor readings on each side of the smart greenhouse device can be said to be the same. The condition of the actuator in the power range of 70%-100% is bright, 50%-60% is dim and 0%-40% is off. The results of LED grow light lighting are in accordance with the setpoint. However, the system response can be said to be quite slow to reach the setpoint. The effect of implementing croton ornamental plants on a smart greenhouse device which was carried out for 14 days (2 weeks) resulted in a change in the initial plant height of 21.8 cm to 25.3 cm with a total growth of 3.5 cm and a more striking change in leaf color (redness) and therefore the device can function according to the design that has been made. Keywords: Light Intensity, Smart Greenhouse, Fuzzy Logic Control, Fuzzy Mamdani

SISTEM PENGONTROLAN SUHU DAN PH AIR DENGAN KONTROL LOGIKA FUZZY BERBASIS ARDUINO PADA PERANGKAT SMART AKUARIUM UNTUK IKAN MAS KOKI M Naufal Bariz Abdullah; Mochammad Rusli; Goegoes Dwi Nusantoro
Jurnal Mahasiswa TEUB Vol. 11 No. 4 (2023)
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This study aims to realize a system of controlling the degree of acidity of water and temperature of aquarium water in goldfish using fuzzy logic control so that it is expected to be able to produce healthy and good quality fish. The input data consists of pH and temperature while the output water flow debit is discharged by DC water pumps and heaters.There are pH and temperature sensors that each read every 1.5 seconds with fuzzy output discharge cycles every 1 minute. The design was carried out by the Sugeno method. Based on the test data, 315 data were obtained within 10 minutes, where the system was able to reach the setpoint value when it was in the 292th data, with a time of 8 minutes 47 seconds. The next data of the system runs in steady state. As for steady state errors of 1,05%. Keywords: Fuzzy logic control, Sugeno method, DC water pump, heater, pH sensor, temperature sensor, goldfish.

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