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Jurnal Otomasi Kontrol dan Instrumentasi
Published by Institut Teknologi Bandung
ISSN : 20852517     EISSN : 24606340     DOI : https://doi.org/10.5614/joki
Core Subject : Engineering,
Chemical Engineering, Chemistry & Bioengineering Control & Systems Engineering Engineering Industrial & Manufacturing Engineering
Jurnal Otomasi Kontrol dan Instrumentasi adalah jurnal ilmiah yang diterbitkan oleh Pusat Teknologi Instrumentasi dan Otomasi (PTIO), Institut Teknologi Bandung setahun dua kali (April - Oktober) untuk menyebarluaskan hasil-hasil penelitian dengan fokus dalam bidang otomasi, kontrol, dan instrumentasi dalam lingkup: Pengembangan Konsep dan Sistem Instrumentasi, Kontrol dan Otomasi: -Teori Kontrol -Pemodelan dan Identifikasi Sistem -Industri 4.0 -Sistem Terdistribusi -Sistem Virtual -Sistem Robotika dan Otonom -Sistem berbasis Pengolahan Citra -Sistem berbasis Kecerdasan Buatan Aplikasi Instrumentasi dan Kontrol : -Bidang Industri dan Keamanan -Bidang Transportasi dan Komunikasi -Bidang Kesehatan dan Kenyamanan Hunian -Bidang Pertanian dan Pengolahan Pangan -Bidang Manajemen Energi -Bidang Energi Terbarukan -Bidang Industri Kreatif.
Arjuna Subject : Teknik (semua kategori) - Teknik Kontrol dan Sistem
Articles 226 Documents
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Pengujian Rancangan Simulator Resistansi Termal dan Rugi-rugi Kalor pada Sistem Aliran Fluida dalam Pipa Tersekat dengan Metode Adaptive Neuro Fuzzy Inference System (ANFIS) dan Least-squares Estimation (LSE) Rahmat; Agusta , Mohammad Kemal; Ihsan , Amirul
Jurnal Otomasi Kontrol dan Instrumentasi Vol 16 No 1 (2024): Jurnal Otomasi Kontrol dan Instrumentasi
Publisher : Pusat Teknologi Instrumentasi dan Otomasi (PTIO) - Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/joki.2024.16.1.2

Abstract

Thermal resistance is essential for designing insulation systems to prevent heat losses in fluid flow through pipes. The testing method for obtaining data on the thermal resistance of nanoscale insulators is still not agreed upon, as is the explanation of the physical phenomena in the mechanism of inhibiting heat flow. This research aimed to design a simulator for testing the thermal resistance of insulators and heat losses through pipes as an alternative testing method for various insulation materials. Hot air flows through a pipe equipped with a measurement and data processing system to obtain the temperature distribution of the fluid flow in the pipe and the pipe surface temperature along the pipe. Thermal resistance and heat loss are the parameters of the insulation material. The mathematical model was solved numerically and validated with COMSOL Multiphysics software. In designing the simulator, both properties are estimated using the ANFIS and LSE methods. The ANFIS method yields the best estimation for thermal resistance and heat losses. The ANFIS estimation for thermal resistance yields an error of 0.163 m2K/W, and for heat losses yields an error value of 12.64 W/m. The developed ANFIS estimation method is highly resilient to errors in the measurement data.
Enhancing the Reliability of Photovoltaic Systems in Microgrid at Campus Area Hanadi; Christian, Hadi; Tomoyahu, Syafril; Faniama, Virara; Pradipta, Justin; Haq, Irsyad N. Haq; Leksono , Edi
Jurnal Otomasi Kontrol dan Instrumentasi Vol 16 No 1 (2024): Jurnal Otomasi Kontrol dan Instrumentasi
Publisher : Pusat Teknologi Instrumentasi dan Otomasi (PTIO) - Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/joki.2024.16.1.3

Abstract

This paper assesses the reliability of photovoltaic systems within a microgrid, considering the system's operational mode and monthly data on solar radiation and load demand. The evaluation encompasses various reliability metrics, including microgrid failure rate, interruption duration, system unavailability, EENS, EIR, LOLE, and LOLP, with the objective of minimizing these parameters. The methodologies applied involve the Markov model and artificial intelligence algorithms such as Naive Bayes and Support Vector Machine (SVM). Results indicate that the microgrid exhibits enhanced reliability in an on-grid mode configuration, with a LOLP value of 0.0008. Furthermore, employing machine learning, specifically SVM, for LOLP calculation based on solar radiation yields a more precise value of 0.7245. This study offers valuable insights for policymakers and system designers in determining the optimal configuration for microgrids.
Pengangkut Muatan Kapasitas 2 kg Berbasis Mikrokontroler Syahwir, Irawati Dewi; Nainggolan , Thomas Rocky Roganda
Jurnal Otomasi Kontrol dan Instrumentasi Vol 16 No 2 (2024): Jurnal Otomasi Kontrol dan Instrumentasi
Publisher : Pusat Teknologi Instrumentasi dan Otomasi (PTIO) - Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/joki.2024.16.2.1

Abstract

Energy transformation is growing, and trade is becoming more complex and dynamic regarding energy efficiency and flexible production design. The development of a semi-automatic transporter aims to improve intralogistics' flexibility whereas the electrical power requirements and time efficiency can be analyzed. The analysis method measures the rotational speed of the semi-automatic transport wheel and identifies its model. The rotation speed of the wheels on a semi-automatic transporter is based on translational movement, rotary movement, and transport and load. The measurement results show that the energy requirements for translational and rotational movements increase due to the mass of the charge. However, in the same situation, an increase in the speed value of the semi-automatic transporter results in lower energy requirements, even though the need for electrical power is increasing. The capacity of the DC motor decreases with increasing load, namely from 239.184 rpm to 166.204 rpm, and likewise for the battery from 20000 mhA to 5400 mhA. In dynamic measurement conditions, namely, measurements made while the motorbike is running, there is an average measurement error of –0.11 cm to –0,03 cm in backward movements.
Audit Energi Menggunakan Intensitas Konsumsi Energi untuk Konservasi Energi di Gedung Kampus Faniama, Virara; Hanadi; Christian, Hadi; Tomoyahu, Syafril; Pradipta, Justin; Nashirul Haq, Irsyad; Leksono, Edi
Jurnal Otomasi Kontrol dan Instrumentasi Vol 16 No 1 (2024): Jurnal Otomasi Kontrol dan Instrumentasi
Publisher : Pusat Teknologi Instrumentasi dan Otomasi (PTIO) - Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/joki.2024.16.1.6

Abstract

Energy auditing is an essential step in optimizing energy use in commercial buildings. This research explores the application of energy auditing with the Energy Consumption Intensity method to improve energy efficiency in campus buildings. Considering the changes in occupancy and activity patterns in the university environment can provide a comprehensive insight into the associated energy consumption patterns. The audit analyzed the building's energy consumption and identified potential energy savings to improve energy efficiency. Energy data was collected and analyzed to evaluate the building's energy performance. Recommended energy conservation measures include updating the lighting system, optimizing the cooling system, and improving the efficiency of equipment use. This research recommends that campus building managers adopt sustainable practices in energy management, which can lead to reduced operational costs and lower environmental impacts. Thus, the energy audit approach with the IKE method is a relevant and effective strategy for achieving energy conservation goals in the university environment. Based on the analysis, the latest IKE for Labtek V is 38.01 (2021), while the IKE for Labtek VI is 16.75 (2021), showing inefficiency of energy use in both buildings inefficient.
Evaluasi Spasial Estimasi Curah Hujan pada Radar Cuaca Menggunakan Metode Z-R Marshall-Palmer di Wilayah Jawa Barat Ananda, Naufal; Mukhlish, Faqihza; Wicaksana, Haryas Subyantara; Budiawan, Irvan
Jurnal Otomasi Kontrol dan Instrumentasi Vol 16 No 1 (2024): Jurnal Otomasi Kontrol dan Instrumentasi
Publisher : Pusat Teknologi Instrumentasi dan Otomasi (PTIO) - Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/joki.2024.16.1.4

Abstract

Rainfall is one of the weather parameters that affect various sectors. High rainfall intensity can trigger hydrometeorological disasters, so rainfall observation data is vital to monitor rainfall conditions in an area. An automatic rain gauge is an instrument that measures rainfall at an observation point, but the instrument has reasonably low coverage and has yet to reach the entire region. Weather radar is a remote sensing instrument capable of spatially estimating rainfall. Weather radar data can be used to estimate rainfall using the Marshall-Palmer Z-R method. The application of the method can be an alternative for areas that do not have rainfall observation equipment. However, the estimation needs to be evaluated to improve the accuracy of the estimation value. Based on the evaluation, the highest coefficient of determination was 0.92, and the lowest was 0.67. The lowest RMSE value was 2.40, the highest was 6.76, the highest ME value was 16.59, and the lowest was 5.93; the highest bias was 12.90, and the lowest was 5.30. The study results show that the weather radar can operate according to the specifications of the maximum observation distance of up to 220 KM, but the farther the observation distance to a point, the higher the performance of rainfall estimation accuracy.
Estimasi Kecepatan Angin Permukaan pada Jaringan Anemometer Menggunakan Temporal Convolutional Network Wicaksana, Haryas; Mukhlish, Faqihza; Ananda, Naufal; Budiawan, Irvan; Khamdi, Arif Nur; Habib , Abdul Hamid Al
Jurnal Otomasi Kontrol dan Instrumentasi Vol 16 No 1 (2024): Jurnal Otomasi Kontrol dan Instrumentasi
Publisher : Pusat Teknologi Instrumentasi dan Otomasi (PTIO) - Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/joki.2024.16.1.5

Abstract

Surface winds in various locations are measured simultaneously using a multisite anemometer network. This network is susceptible to system failures due to sensor damage, causing a data gap during sensor removal and reinstallation. This research develops a wind speed estimation model on a multisite anemometer using the Temporal Convolutional Network (TCN) algorithm. TCN processes time domain signals in parallel, thus significantly cutting the computation time. Minutely wind speed data set was obtained from four anemometers at Juanda International Airport in Surabaya from January 1, 2022 – December 24, 2023. The model design comprises data pre-processing, dominant wind direction analysis, hyperparameter determination, training, and testing on actual data. TCN estimation models are divided into easterly, westerly, transitional, and all-directional models. These wind speed estimation models strongly correlate with actual data, with correlation coefficients of 0.70, 0.77, and 0.87. Overall, the accuracy of the TCN-based estimation model conforms to World Meteorological Organization (WMO) requirements for wind speed measurements. It achieves RMSE<5 m/s and MAE<3 m/s. As for computation duration, TCN processes the training for 87 seconds per epoch and completes the estimation in 37 seconds, much faster than CNN-BiDLSTM’'s training duration of 2206 seconds per epoch and estimation completion of 548 seconds.
Perbandingan Specific Refining Energy pada Mesin Refiner Jenis Double Disk dengan Conical: Studi Kasus pada Pembuatan Kertas Tulis Cetak Susantini, Ni Njoman Manik; Pinasih, Intan; Erwin, Erwin; Hanifadinna, Hanifadinna
Jurnal Otomasi Kontrol dan Instrumentasi Vol 16 No 2 (2024): Jurnal Otomasi Kontrol dan Instrumentasi
Publisher : Pusat Teknologi Instrumentasi dan Otomasi (PTIO) - Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/joki.2024.16.2.2

Abstract

The refining process is a part of the paper-making process that requires a large amount of energy. The strategy used is to change the type of refiner machine from Conical to Double Disc Refiner (DDR) because DDR spends less energy. At a consistent range of 4% Specific Edge Load (SEL) DDR is 1.4–4 J/m while conical SEL is 0.9–6.0 J/m. This research will test the energy used in making HVS paper 80-gram by referring to what has been mentioned. The consistency used is in the range of 4.4–4.6%. As supporting parameters, the physical properties of HVS 80-gram paper were used, namely bulk, tearing, tensile, and bursting. Energy and physical properties were measured for 28 days with 6 samplings per day. The comparison was carried out on days 10 to 26 because there was incomplete data on DDR on days 7–9 and day 27. The results of this study showed that the type replacement from conical to DDR was at 1.52%. The physical property of the paper that experienced a significant change was the paper porosity, which was 28.58%.
Rancang Bangun Particle Counter untuk Monitoring Konsentrasi PM1, PM2.5 dan PM10 di Udara Berbasis IoT Falahuddin, Muhamad Anda; Puloh, Asep; Sumeru, Sumeru; Arman, Muhammad; Ayu, Wirenda Sekar; Susilawati, Susilawati
Jurnal Otomasi Kontrol dan Instrumentasi Vol 16 No 2 (2024): Jurnal Otomasi Kontrol dan Instrumentasi
Publisher : Pusat Teknologi Instrumentasi dan Otomasi (PTIO) - Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/joki.2024.16.2.3

Abstract

Poor air quality is a serious health and environmental issue. Microscopic particles such as PM1, PM2.5, and PM10 cause respiratory disorders and other health problems. Therefore, accurate and continuous air quality monitoring is crucial to mitigate the impacts of air pollution. This research aims to design an Internet of Things (IoT)--based particle counter capable of real-time air quality monitoring and reporting via an online platform. The system utilizes a PMS5003 sensor to measure PM1, PM2.5, and PM10 concentrations precisely. Data from the sensor is processed by an ESP8266 microcontroller connected to the internet, enabling direct data transmission to an online platform for further analysis and visualization. Testing is done by creating a 1x1x1 meter testing chamber to simulate various environmental conditions and validate the device's performance. Results show that the particle counter provides accurate data, with an error rate of less than 10% compared to standard devices. The device demonstrates reliable operation across different environmental conditions, showcasing its robustness in practical applications. This IoT-based particle counter offers an innovative solution for effective and efficient air quality monitoring. It is expected to significantly contribute to human health protection efforts and minimize the adverse environmental impacts of air pollution.
Penerapan Automatic Particle Counter untuk Pemantauan Kondisi Oli Hidrolik Erdani, Yuliadi; Gumadi, Riki Adiwijaya
Jurnal Otomasi Kontrol dan Instrumentasi Vol 16 No 2 (2024): Jurnal Otomasi Kontrol dan Instrumentasi
Publisher : Pusat Teknologi Instrumentasi dan Otomasi (PTIO) - Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/joki.2024.16.2.4

Abstract

High solid particle contamination in hydraulic oil can cause abnormal damage to hydraulic system components. Monitoring the hydraulic oil solid particle contamination level is necessary to ensure it is always within permissible limits. Monitoring of solid particle contamination in hydraulic oil is still done manually by taking an oil sample and then measuring the level of solid particle contamination in the oil sample. This method still relies on human power. Therefore, there is still a possibility that oil conditions are not monitored due to human negligence. This research aims to design a system that automatically samples hydraulic oil and measures solid particle contamination. The level of solid particles in the hydraulic oil is measured by the Automatic Particle Counter (APC) sensor, and then the data is sent to the microcontroller. The microcontroller will process this data and provide information regarding the level of solid particles in the hydraulic oil in real-time. This research produces a system that automatically monitors and produces ISO Cleanliness Code values and a warning system when solid particle levels exceed specified limits. Therefore, this tool can help users monitor hydraulic oil conditions more easily.
Perancangan Purwarupa Pengukur Kadar Air dan Kualitas Pangan Komoditas Beras dan Jagung Menggunakan Sensor Kapasitif Firmansyah, Dudi; Rahmawati, Riski Amalia; Firmansyah, Vera; Gianto, Gianto; Sutanto, Willi; Waras, Nandang Gunawan Tunggal; Yasri, Budi; Muslim, Azis; Irwanto, Decky Ari; Karsono, Eko; Alam, Hilman Syaeful; Sanjaya, Ari Susandy
Jurnal Otomasi Kontrol dan Instrumentasi Vol 16 No 2 (2024): Jurnal Otomasi Kontrol dan Instrumentasi
Publisher : Pusat Teknologi Instrumentasi dan Otomasi (PTIO) - Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/joki.2024.16.2.6

Abstract

Water content is an indicator that can affect food quality and safety as well as commodity prices. Therefore, measuring the moisture content of commodities is important to ensure the food system viability. The development of increasingly sophisticated technology has led many companies to introduce water content measuring instruments called Moisture Content Meters (MCM). However, this tool is marketed at an expensive price. In this research, a prototype for measuring the moisture content and food quality of rice and corn commodities using a cheap capacitive sensor has been successfully made according to the design. Based on the testing results, this prototype has an accuracy value of 98,9%, precision of 97,4%, and error of 1,1%. The test results show that this prototype is accurate enough to measure the moisture contents of rice and corn samples, accompanied by consistent food quality indications according to applicable quality standards.  

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