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Corrosion Monitoring System On Concrete Using Concrete Resistivity Test Based On The Internet Of Things Dinda Karina; Herry Sufyan Hadi; Putri Yeni Aisyah
IPTEK The Journal of Engineering Vol 8, No 1 (2022)
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j23378557.v8i1.a10616

Abstract

Reinforced concrete, which is currently widely used as the main material for the establishment of a building infrastructure, consists of cement and iron and steel, which have the potential for corrosion by the active and passive layers of concrete. So with the high potential for corrosion that causes cracks to break and the building collapses, it is necessary to monitor the corrosion rate which can be used as a preventive measure for corrosion in concrete structures. Corrosion that occurs is also greatly influenced by the permeability and resistance of the concrete which causes the gaps of other elements to enter the concrete structure and accelerates the corrosion rate of the concrete. This study designed a corrosion Monitoring system in concrete with an IoT-based concrete resistivity test by injecting the concrete through an electric current which can be monitored with the Blynk application according to the area of the concrete.
Vanname Shrimp Health Monitoring System Using Internet of Things-based Image Processing Method Ummul Khoiriyah; Herry Sufyan Hadi; Putri Yeni Aisyah
IPTEK The Journal of Engineering Vol 8, No 1 (2022)
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j23378557.v8i1.a10596

Abstract

Viruses are known to have attacked vaname shrimp, shrimp infected with the virus showed several abnormal things, including the appearance of a reddish color on the shrimp's body, and redness on the shrimp's tail. In healthy Vannamei Shrimp, the shrimp body shows a brownish color, and there is no reddish color on the tail and body of the shrimp. Implementation of a prototype of a shrimp health monitoring system needs to be done to determine the health condition of shrimp. This final project will produce a prototype that can monitor shrimp health, by adopting Artificial Intelligent (AI) learning technology for image processing and recognition. Presenting a prototype consisting of hardware and software analysis of healthy Vannamei shrimp for the purpose of monitoring the health of Vannamei shrimp thereby increasing the productivity of the Internet of Things (IoT) based ponds.
Design of Fault Tolerant Control on Wind Turbine Speed Control Based on Bias Fault Estimation Method with Optimization l_0 Norm Constraint Putri Yeni Aisyah; Katherin Indriawati
IPTEK The Journal of Engineering Vol 7, No 2 (2021)
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j23378557.v7i2.a9033

Abstract

The availability of onshore wind power plant systems (PLTB) reaches 98%, but the maintenance costs required are still very high for the wind turbine generator system. Meanwhile, the availability of offshore PLTB is decreased by 60% due to the main cause of damage to some components in wind turbine systems. This study proposes the use of fault estimation methods of wind turbine system components in fault tolerant control (FTC) strategy. The error estimation method is build using the ℓ0 norm constraint optimization. The optimization formulation with ℓ0 norm constraint is derived by applying the compressed sensing technique so that the estimation of the bias error can be used to estimate the error of several components by a single observer. This answers the observability issues encountered in single observer use cases. The proposed implementation of observers with the FTC results in better response characteristics when compared to systems without FTC. Response characteristics on actuator errors of 0.3 – 1.3pu, system with observers resulting in a maximum undershoot value of 0.4-1% while systems without observers resulting in a maximum undershoot value of 6.2-26.4%. The characteristics of the response with the observer on sensor errors resulting 0.3-1.3pu resulting in value of 1.6-4%, 0% and 63.9- 70.7s. System without observers, with sensor errors of 0.3-1.3pu resulting in maximum undershoot, steady state error and settling time of 6.2-26.2%, 6.2-26.4%, and 0s
Development of ECU (Electronic Control Unit) to Maintain Stability of Biogas Fuelled Generator Totok Soehartanto; Dwi Nur Fitriyanah; Putri Yeni Aisyah
IPTEK The Journal of Engineering Vol 6, No 2 (2020)
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j23378557.v6i3.a7264

Abstract

Biogas fueled generator has a unique character because the converter kit on the generator has the characteristic of absorbing the biogas supply. Therefore, in this study, biogas is accommodated in a plastic container equipped with a valve that can adjust the amount of biogas supply pressure. Combustion in the Genset combustion chamber will occur if the ratio of air supply and supply of biogas (AFR = Air to Fuel Ratio) meets the stoichiometric number. So a ratio control is needed on air supply and biogas supply, which can follow changes in biogas conditions in plastic bags and generator loads. For this reason, this paper presents an ECU (Electronic Control Unit) that can regulate the ratio of air supply to biogas supply by using a servo motor valve, which is commanded by a control signal from the ECU. The resulting ECU prototype is equipped with a multi-input connector (to receive the signal output of CH4 methane gas sensor and the biogas supply pressure sensor), multi-output (control signal to the servo motor valve), and multi regulators to adjust the Set Point value for the methane gas content CH4, the value of the set point of the biogas supply pressure and to tune the value of the proportional gain control (KP). The results of the ECU performance test by trial and error by giving a dummy input signal (analogy to the signal output of methane gas sensor and the analog of the pressure sensor output signal in the form of an electric voltage generated from the signal generator) can drive the servo motor, valve air supply, and servo motor, valve supply biogas. Accordance with the gain control input from the regulator. 
IoT-based for Monitoring and Control System of Composter to Accelerate Production Time of Liquid Organic Fertilizer Safira Firdaus Mujiyanti; Putri Yeni Aisyah; Adelia Firsty Salsabilla; Tiffany Rachmania Darmawan; Abdul Rohid
IPTEK The Journal of Engineering Vol 8, No 2 (2022)
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j23378557.v8i2.a14081

Abstract

The composter is a method to produce the liquid organic fertilizer. The manual process certainly takes a long time. Thus, the automatic composter proposed in this research is equipped with a monitoring and control system. In producing liquid organic fertilizer using a composter, there are several things that can affect the maturity of the fertilizer, including pH and temperature factors. The reference temperature for produce liquid organic fertilizer in the composting process ranges from 30-40 oC, while the pH in the composter must be in the range of 4.5-6.5. This composter is designed to be able to carry out automatic mixing equipped with a temperature control system that serves to maintain temperature stability in the compost media according to the reference temperature. The composter design is equipped with a DHT 11 sensor as a temperature sensor, a pH sensor and the ESP 32 as the controller. Internet of Things (IoT) makes this system easy to control using android. Producing liquid organic fertilizer compered between the automatic and manual process. The results show that liquid organic fertilizer can be produced faster, has a better quantity and quality than the manual process.
Design and Construction Pond Temperature Control System and Automatic Nile Tilapia Fish Feeder for Aquaponics Putri Yeni Aisyah; Dyah Ayu Permadani
IPTEK The Journal of Engineering Vol 8, No 2 (2022)
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j23378557.v8i2.a14087

Abstract

Expansion of land for the development of human civilization reduces natural ecosystems. Especially land for agriculture and fisheries in densely populated areas. The more the population, the more food needs. One way to deal with this problem is aquaponic cultivation. Aquaponics is a modern practical farming system that integrates plant cultivation systems with aquatic animal cultivation. In aquaponics cultivation there are factors that need to be considered. One of these success factors is the Temperature and Automatic Feeder in the pond. To get the temperature needed by the fish, temperature control is carried out using the DS18B20 sensor. When the fish pond temperature drops below 28°C, the heater will automatically turn on to raise the pond temperature, and when the pond temperature rises above 32°C, the peltier will turn on and start lowering the pond temperature. Feeding is one of the success factors for aquaponics. If the feed given does not match the weight and age of the fish, the growth of the fish can be disrupted, causing the fish to die. Automatic feeding uses the RTC module as the set time and the servo motor as the opening valve for the fish feed container. Fish were fed at 08.00, 12.00, and 17.00. The average error obtained after validating the DS18B20 sensor is 0.61. The accuracy obtained is 98.05%. The ratio of fish RGR before and after the control system was installed was 7.14% and 11.2 The fish FCR values before and after the control system was installed were 12.50% and 21.07%. The plant growth rates before and after the control system was installed were 22.9% and 33.71%.
Perancangan Sistem Monitoring Flowrate, Kandungan Gas Metana, dan Tekanan Guna Mendapatkan Informasi Kondisi pada Bioreaktor Anaerob Jamal Fikri Tanaya; Totok Soehartanto; Putri Yeni Aisyah
Jurnal Teknik ITS Vol 11, No 2 (2022)
Publisher : Direktorat Riset dan Pengabdian Masyarakat (DRPM), ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j23373539.v11i2.86586

Abstract

Telah dilakukan perancangan sistem monitoring flowrate, kandungan gas metana, dan tekanan guna mendapatkan informasi kondisi pada bioreaktor anaerob. Perancangan sistem monitoring ini dilakukan menggunakan bioreaktor yang ada dihutan Pakal Benowo, Surabaya. Biogas yang di hasilkan berasal dari kotoran sapi dari peternakan yang ada disana. Pada proses pembentukan biogas ini bioreaktor sangat rentan terhadap perubahan suhu lingkungan, jumlah substrat yang tidak stabil, dan juga pH. Variabel tersebut perlu diperhatikan karena dapat mempengaruhi kecepatan, dan kualitas biogas yang dihasilkan. Temperatur lingkungan menjadi salah satu faktor utama bagi aktivitas mikroba karena akan berdampak pada tekanan yang dihasilkan. jumlah substrat yang ada dalam bioreaktor akan menentukan volume sehingga flowrate dari bisa menjadi optimal. Pengaruh dari pH dalam bioreaktor dapat mempengaruhi konsentrasi CH4 yang dihasilkan dan akan sangat berpengaruh dalam menentukan kualitas biogas. Beberapa parameter tersebut perlu dilakukan monitoring supaya informasi aktual pada plant dapat terekam, dan kualitas dari biogas yang dihasilkan bisa lebih optimal. Monitoring yang dilakukan nantinya berupa kandungan gas metana, tekanan, dan juga flowrate. Sensor yang digunakan pada bioreaktor ini harus tahan terhadap korosif karena sifat dari biogas ini. Nantinya data dari pembacaan sensor akan ditampilkan pada GUI, dan kondisi dari bioreaktor yaitu stabil, upperload, dan underload beserta output tegangan dari setiap sensor yang digunakan.
Dissolved oxygen control system in polishing unit using logic solver Totok Soehartanto; I Putu Eka Widya Pratama; Safira Firdaus Mujiyanti; Dwi Nur Fitriyanah; Putri Yeni Aisyah; Rico Pardona Pardosi; Nabiilah Azizah Tjandra
Bulletin of Electrical Engineering and Informatics Vol 12, No 2: April 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v12i2.4445

Abstract

The research consists of two parts, the first one is to design the dynamic plant model of polishing unit using artificial neural network (ANN) type backpropagation, and the second one is to design a simulation of a close loop control system on Simulink consisting of logic solver, control valve and ANN polishing unit. The ANN polishing unit was trained and obtained the best model structure 4-24-3 with four inputs chemical oxygen demand (COD) influent, oil in water (OIW) influent, urea, and triple superphosphate (TSP), twenty-four hidden layer nodes, and three outputs (OIW effluent, COD effluent and dissolved oxygen (DO)). The mean square error (MSE) and root mean square error (RMSE) from ANN trained were 0.00485 and 0.06964, obtained by the second iteration. From the simulation results on Simulink by giving several scenarios in the logic solver condition table, the action is brought in the form of urea and TSP nutrition issued by the control valve. The values are used to achieve the DO setpoint (2 mg/L), among others: when COD and OIW influent exceed the quality standard, COD exceeds the quality standard, and OIW does not exceed the quality standard, and the DO error is below zero.
Pembuatan Mesin Penggiling Kotoran Kambing untuk Kelompok Tani Karya Bakti II sebagai Upaya Mendukung Program SIGARPUN – Aksi Gerakan Pemupukan Organik di Kabupaten Lumajang Putri Yeni Aisyah; Dwi Nur Fitriyanah; Adhista Widya Nandasari; Tsurayya Alifia Zahrah; Yanuari Rizqii Waahidah; Leyli Lathifatul Azizah
Sewagati Vol 7 No 1 (2023)
Publisher : Pusat Publikasi ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (5493.446 KB) | DOI: 10.12962/j26139960.v7i1.128

Abstract

Lumajang sebagai wilayah agraris dimana 80% penduduk bermata pencaharian sebagai petani. Data semester I tahun 2011, lahan pertanian sebagai sumber pangan menunjukkan kondisi yang hampir kritis, dengan kandungan bahan organik tanah berkisar 0,63 – 1,51% akibat penggunaan pupuk kimia. Salah satu strategi yang wajib ditempuh adalah melalui kegiatan meningkatkan kandungan bahan organik tanah dengan penggunaan pupuk organik dalam program SIGARPUN – Aksi Gerakan Pemupukan Organik. Kelompok Tani Karya Bakti II Desa Kenongo Kecamatan Gucialit adalah kelompok tani yang mendukung suksesnya program tersebut dengan potensi yang dimiliki yaitu melimpahnya bahan baku berupa kotoran kambing. Namun Unit Pengolahan Pupuk Organik yang dimiliki kelompok Tani tidak bisa memecah kotoran kambing dengan baik sehingga perlu proses dan waktu yang lama untuk menjadikan pupuk organik. Kotoran kambing adalah limbah yang tidak bermanfaat dan memiliki geometri kulit yang keras. Dari keluhan masyarakat terkait kesulitan pengolahan pupuk organik dari kotoran kambing, maka pada abdimas akan dibuat mesin penggiling kotoran kambing untuk menghancurkan geometri kulit yang keras sehingga bisa digunakan sebagai pupuk. Mesin penggiling kotoran kambing adalah sebuah mesin dengan sistem mekanik dengan penggerak motor bensin yang dilengkapi dengan dua buah roll pengiling, motor bensin sebagai penggerak utama, dan di transmisikan dengan dua buah pulley dan v-belt.
Pressure and Flow Control System to Prevent Drinking Water Pipe Leaks Putri Yeni Aisyah; Akhmad Ibnu Hija; Ega Prawira Hadi
IPTEK The Journal of Engineering Vol 9, No 3 (2023)
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j23378557.v9i3.a16729

Abstract

The distribution of water through pipes experienced an average water loss of 35%. This is caused by a lack of pipe management, measurement tool management, and pressure management. In this study, a drinking water company miniplant was made using PVC pipe as a simulation to show the action of the solenoid valve as a pressure controller and water flow rate against leakage. This study monitors pressure differences and flow rates. Global valve acts as an actuator to control flow pressure while ball valve acts as an actuator to control flow rate. The results of the validation of the pressure sensor, on average the four sensors produce an accuracy of 99.587% and an inaccuracy of 0.413%. The results of the flow sensor validation, the average of the four sensors produces an accuracy of 97.558% and an inaccuracy of 2.442%. The results of system testing on the solenoid valve pressure control, work according to the set point in controlling pressure. The results of system testing on the solenoid valve pipe leakage control, work according to the set point in controlling pipe leakage but the ratio is high. The ratio is too high because the flow after the solenoid valve is getting slower, but the flow before the solenoid valve is still moving to fill the empty space in the pipe until there is no water flow.