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All Journal Mechatronics, Electrical Power, and Vehicular Technology Journal of Engineering and Technological Sciences Journal of Science and Applicative Technology Jurnal Otomasi Kontrol dan Instrumentasi Jurnal Nasional Teknik Elektro dan Teknologi Informasi Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering) Journal of Engineering and Technological Sciences
Justin Pradipta
Institut Teknologi Bandung
Aerospace Engineering Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering

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Comparasion of HVAC Energy Consumption Prediction in an Academic Building using LSTM and DNN Hadi Christian; Koko Friansa; Justin Pradipta; Irsyad Nashirul Haq; Edi Leksono
Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering) Vol 11 No 1 (2024): Jurnal Ecotipe, April 2024
Publisher : Jurusan Teknik Elektro, Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/jurnalecotipe.v11i1.4488

Abstract

Energy consumption information is a collection of information obtained from datasets that is useful for making decisions for energy conservation. In this paper, we proposed a modern approach based on LSTM and DNN. While many researchers have employed these methods for predicting energy consumption, this paper seeks to compare their efficacy to determine which is superior. The comparative analysis in question employs accuracy metrics such as Mean Absolute Error (MAE), Mean Squared Error (MSE), Root Mean Squared Error (RMSE), and R-squared (R2) values. Furthermore, the accuracy metric outcomes indicate that the LSTM method surpasses the DNN approach in terms of the R-squared (R2) value, with respective scores of 0.931 and 0.782. Meanwhile, for other accuracy metrics, the DNN method outperforms LSTM. Nevertheless, the performance of the two proposed methods is excellent, as evidenced by the R-squared (R2) value exceeding 0.75, which aligns with modeling standards observed in numerous research studies.
Sistem Arsitektur Manajemen Bangunan untuk Memaksimalkan Swakonsumsi pada Bangunan Universitas: Studi Kasus Puspita, Yumna; Nanda, Rezky Mahesa; Arif M. Natawidjaja, Reyza; Friansa, Koko; Pradipta, Justin; Armanto Mangkuto, Rizki; N. Haq, Irsyad; Leksono, Edi; Wasesa, Meditya
Jurnal Otomasi Kontrol dan Instrumentasi Vol 15 No 2 (2023): 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.2023.15.2.5

Abstract

Due to its intermittent nature, significant adoption of solar PV into the grid can decrease grid reliability. One solution to increase it is to increase PV self-consumption with two methods: adding Energy Storage System (ESS) and conducting Demand Side Management (DSM). University building has a distinct characteristic in its complex dynamics. Therefore, there is a lack of research to control both methods of increasing self-consumption. This paper aimed to do an integrated literature review on increasing self-consumption and then propose a system architecture recommendation for university building management based on the review. The Smart Grid Architectural Model (SGAM) evaluated the case study object. The result showed that a data-driven controller has been chosen as the most suitable controller for the university building management system. The data needed to build a data-driven controller could be obtained through readily available sensors in the case study object, making it feasible for implementation.
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.
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.
Analisis Pengaruh Variasi Laju Aliran Air pada Sistem Pendinginan Modul Fotovoltaik dengan Simulasi CFD (Computational Fluid Dynamics) Tomayahu, Syafril Agustion; Rozaq, M. Sya'banur; Romadhon, Rahmat; Pradipta, Justin; Haq , Irsyad N.; Leksono, Edi
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.2024.16.2.9

Abstract

Developing renewable energy is one of the main strategies to reduce greenhouse gas emissions and achieve global goals to limit global warming above pre-industrial temperatures. This study analyzes the effect of varying the cooling water flow rate on MS100-36 type polycrystalline photovoltaic modules through ANSYS Fluent 2024 R1 Student simulation. This simulation was conducted from 08:00 to 17:00, focusing on the influence of inlet water temperature on the temperature distribution of photovoltaic modules. The simulation results indicate thermal steady-state conditions at an irradiation of 463 W/m² with a natural coefficient of 5 W/m².There is a temperature distribution process occurring in the photovoltaic module under fluent conditions, where the effect of the inlet water temperature on the surface of the PV module is examined for a water temperature range of 20°C to 30°C in 5°C intervals, with water flow rates of 0.05, 0.1, and 0.2 kg/s. The contour images indicate that an increase in water flow rate can enhance the cooling effect of the photovoltaic module. Higher inlet water temperatures transfer less heat, producing higher temperatures for the photovoltaic modules. A water flow rate of 0.2 kg/s and an inlet water temperature of 20°C produce a lower and more uniform temperature distribution on the photovoltaic modules. Thus, increasing the water flow rate and decreasing the inlet water temperature have proven effective in enhancing the cooling performance of photovoltaic modules.
Kontrol Adaptif Referensi Model untuk Netralisasi pH dalam Pengolahan Air Limbah Batik Nazuwatussya'diyah Nazuwatussya'diyah; Estiyanti Ekawati; Justin Pradipta
Jurnal Otomasi Kontrol dan Instrumentasi Vol 18 No 1 (2026): 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.2026.18.1.4

Abstract

The batik industry generates wastewater with elevated pH levels due to sodium hydroxide usage in dyeing processes, frequently exceeding the regulatory standard of pH 6–9. Traditional dilution methods prove economically inefficient, necessitating more adaptive control strategies. This research designs and simulates a nonlinear adaptive control system based on Model Reference Adaptive Control (MRAC) for pH neutralization using acetic acid. The Continuous Stirred Tank Reactor (CSTR) mathematical model was developed from mass balance, acid-base equilibrium, and electroneutrality principles, then simulated using Ordinary Differential Equation (ODE) functions in MATLAB. MRAC performance was compared with conventional PI controller across various initial wastewater pH conditions. Simulation results demonstrate that MRAC achieves faster convergence, reaching pH 7 in 2488.68 seconds from initial pH 9, compared to PI controller (3080.96 seconds) or uncontrolled system (10225 seconds). With settling time of 2377 seconds versus 2566.4 seconds for PI, MRAC reduces neutralizer consumption by 0.61% (9.5380 L versus 9.5969 L) while maintaining safety criteria above the lower pH bound of 6.80. Lyapunov stability analysis confirms the asymptotic stability of the adaptive controller. This study demonstrates that MRAC offers superior performance for batik wastewater pH control while reducing dependency on uneconomical dilution methods.
Co-Authors Alief Widjoseno Damar Persada Aretha Fieradiella Pahrevi Arif M. Natawidjaja, Reyza Armanto Mangkuto, Rizki Auditio Mandhany Christian, Hadi Edi Leksono Edi Leksono Edi Leksono Edi Leksono Edi Leksono Estiyanti Ekawati F.X. Nugroho Soelami Faizatuzzahrah Rahmaniah Faniama, Virara Friansa, Koko FX Nugroho Soelami Hadi Christian Hanadi Hanafi Kusumayudha Handre Kertha Utama, Putu Haq , Irsyad N. Haq, Irsyad N. Haq Haq, Irsyad Nashirul Indrapraja, Rachmadi Koko Friansa Koko Friansa Koko Friansa Kristiawan Ariwibawa Leksono , Edi M Daya Imannata Mahesa Nanda, Rezky Meditya Wasesa Mediya Wasesa Mochammad Iqbal Bayeqi Muhamad Riezar Satria Sheba Muhammad Fatih Hasan N. Haq, Irsyad Nanda, Rezky Mahesa Nazuwatussya'diyah Nazuwatussya'diyah Puspita, Yumna Putu Handre Kertha Utama Putu Handre Kertha Utama Putu Handre Kertha Utama Reza Fauzi Iskandar Rezky Mahesa Nanda Robi Sobirin Romadhon, Rahmat Rozaq, M. Sya'banur Salsabila Regita Timothius Pratama Tjahja Tomayahu, Syafril Agustion Tomoyahu, Syafril Tua Agustinus Tamba Tua Agustinus Tamba Wasesa, Meditya