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LSTM-Based PM2.5 Prediction Enhanced by Polynomial Features: Case Study in South Tangerang Wardani, Wulan Kusuma
Journal of Community Development and Disaster Management Vol 7 No 1 (2025): Journal of Community Development and Disaster Management
Publisher : Institut Agama Islam Sunan Giri Ponorogo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37680/jcd.v7i1.6953

The significant impact of air pollution, particularly PM2.5, has driven mitigation efforts to reduce health and environmental risks through more accurate prediction systems. In this study, a Deep Learning approach using the LSTM method with the addition of Polynomial transformation features is proposed to predict PM2.5 concentrations. Historical PM2.5 data from South Tangerang City, Banten, was used to train and test the model. The results show that LSTM with polynomial features effectively captures temporal and non-linear patterns in the data, producing accurate and consistent predictions for both training and testing data compared to conventional machine learning methods such as XGBoost and SVR. Polynomial feature transformation significantly improved model performance, as evidenced by the reduction in prediction errors and increased accuracy compared to LSTM without polynomial features. The model also demonstrates adaptability to sudden fluctuations in air quality data. Although the prediction results closely align with actual values, slight discrepancies may arise due to external factors or model limitations. Therefore, the LSTM approach with polynomial feature transformation is an effective and promising method for PM2.5 prediction.

Perancangan Sistem Pembangkit Listrik Tenaga Surya (PLTS) Off-Grid Pada Gedung Perkuliahan Fauzsan, Achmad Yamani; Yunesti, Putty; Wardani, Wulan Kusuma; Soelami, FX Nugroho; Friansa, Koko; Bangun Persada, Guna; Wira Buana, Setiadi
Journal of Community Development and Disaster Management Vol 7 No 1 (2025): Journal of Community Development and Disaster Management
Publisher : Institut Agama Islam Sunan Giri Ponorogo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37680/jcd.v7i1.6965

Off-Grid Solar Power Plant (PLTS) system planning at Building F of the Sumatra Institute of Technology, South Lampung Regency, Lampung Province is one of the efforts or strategies in reducing the use of conventional electrical energy from the main supplier, namely the State Electricity Company (PLN), and helping to succeed the government's efforts to increase the consumption of new and renewable energy. In PLTS system planning, the aspects that will be analyzed in this research are technical aspects with the help of PVsyst software to collect data regarding technical indicators such as performance ratios and energy production generated by Off-Grid PLTS. In this research, the required land area is 52 m2 from a total of 930 m2 of available land. The simulation results show that the planned rooftop solar system has a capacity of 10.8 kWp using 24 units of AE SOLAR MC144 430-450 W type solar modules, with the capacity of each module being 450 Wp. The PLTS system uses 1 inverter with the type Victron Quattro 48/15000 (15 kW) with a capacity of 15,000 W and uses a battery with the type LUNA2000-15- S0 which has a capacity of 15 kW in each unit. In this study, the solar module received solar irradiation of 4,616 kWh/m2 per day and 1,684 kWh/m2 per year. The production obtained in this study amounted to 14,475 kWh per year. The percentage of the Performance Ratio (PR) value produced by the designed OffGrid PLTS system is 73.01%.

Comparative Analysis of Taper and Taperless Horizontal Turbine Blades at Labuhan Jukung Beach Buana, Setiadi Wira; Prakoso, Yudhistira Alghifari; Kencana, Elsa Rizkiya; Yunesti, Putty; Wardani, Wulan Kusuma; Persada, Guna Bangun; Madi
Jurnal Konversi Energi dan Manufaktur Vol. 10 No. 2 (2025)
Publisher : Universitas Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/JKEM.10.2.10

The uneven distribution of electricity demand across Indonesia necessitates the development of Renewable Energy Sources, particularly wind energy. This study evaluates the performance efficiency of horizontal-axis wind turbines equipped with two blade types: taper and taperless, both using the NACA 0012 airfoil. Aerodynamic simulations were conducted using QBlade software. Wind speed data from 2017 to 2022 were sourced from the European Centre for Medium-Range Weather Forecasts (ECMWF), while electricity consumption data were obtained from the Statistics Bureau of Pesisir Barat Regency. A quantitative approach using descriptive graphical analysis was employed to compare the performance metrics of the two blade designs. The results show that the taperless blade achieves higher power coefficient (Cp) and torque coefficient (Ct) values compared to the taper blade, although the taper blade produces greater torque (T). The energy conversion of the taperless blade reached 347.6 kWh, representing an increase of approximately 4.83% over the 331.6 kWh generated by the taper blade. Further analysis indicates that approximately 19 taperless-blade turbines are required to meet the daily electricity demand of 6,545 kWh in Pesisir Barat Regency. These findings support the recommendation to adopt taperless blades for improved wind energy utilization in the region.

Kolaborasi profesi/tenaga kesehatan dalam manajemen bencana meliputi fase pra bencana, siaga darurat, dan tanggap darurat Wicaksono, Bimo; Kuncoro, Wahyu; Wardani, Wulan Kusuma
Journal of Evidence-based Nursing and Public Health Vol. 1 No. 1: (February) 2024
Publisher : Institute for Advanced Science, Social, and Sustainable Future

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61511/jevnah.v1i1.2024.512

Multi-stakeholder collaboration and coordination are part of disaster management in general. Through collaboration and coordination, the implementation of disaster management will become more effective and targeted. Collaboration and coordination can be said to be an effort to manage the resources available for use in the disaster management cycle (pre-disaster, during a disaster, and post-disaster). In public health disaster management, the involvement of professionals and health workers is important to ensure that people who are at risk or exposed to the threat of disaster have knowledge regarding factors that can disrupt health (physical and mental) or that people affected by disasters can receive health services and minimise the increase in casualties. In the context of disaster preparedness, collaboration or professional involvement of health workers is needed when preparing disaster contingency plans.Cluster coordination mechanisms can bridge actors involvement in disaster management. Health professional organisations can be involved or take part in this mechanism by considering that the membership of each organisation is an asset or resource that may be needed when a disaster occurs. Increasing the number of volunteers at the community level who have been trained regarding emergency response efforts for physical or mental health conditions can ultimately help ease the tasks of professional health workers in locations affected by disasters.

ANALISIS KELAYAKAN TEKNO-EKONOMI PLTS ON-GRID PADA GEDUNG BALAI PELATIHAN PERTANIAN LAMPUNG Yunesti, Putty; Wardani, Wulan Kusuma
Jurnal Informatika dan Teknik Elektro Terapan Vol. 13 No. 3S1 (2025)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v13i3S1.7977

Dalam mendukung target 23% energi terbarukan dalam bauran energi nasional pada tahun 2025 sebagaimana tercantum dalam Kebijakan Energi Nasional (RUEN), penelitian ini dilakukan untuk merancang dan menganalisis kelayakan teknis serta ekonomi dari Pembangkit Listrik Tenaga Surya (PLTS) atap on-grid di Balai Pelatihan Pertanian Lampung. Penelitian mencakup perancangan teknis menggunakan perangkat lunak PVSyst dan Helioscope, serta analisis ekonomi dengan metode Life Cycle Cost (LCC) dan Levelized Cost of Energy (LCOE). Evaluasi kelayakan didasarkan pada indikator seperti Net Present Value (NPV), Internal Rate of Return (IRR), dan Discounted Payback Period (DPP). Hasil rancangan menunjukkan kapasitas optimal PLTS atap sebesar 6,05 kWp dengan asumsi radiasi matahari sebesar 1786,8 kWh/m²/tahun, menghasilkan produksi energi tahunan sebesar 8715,9 kWh dan Performance Ratio (PR) sebesar 80,6%. Biaya investasi awal diperkirakan sebesar Rp69.994.445,00, dengan LCC sebesar Rp96.347.850,77 dan LCOE sebesar Rp1.218,18/kWh. Analisis kelayakan ekonomi menunjukkan bahwa proyek ini menguntungkan, dengan NPV positif sebesar Rp14.686.055, DPP pada tahun ke-15, dan IRR sebesar 12,76%. Berdasarkan hasil tersebut, proyek PLTS atap ini dinyatakan layak untuk diimplementasikan pada bangunan yang dianalisis.

LSTM-Based PM2.5 Prediction Enhanced by Polynomial Features: Case Study in South Tangerang Wardani, Wulan Kusuma
Journal of Community Development and Disaster Management Vol. 7 No. 1 (2025): Journal of Community Development and Disaster Management
Publisher : Institut Agama Islam Sunan Giri Ponorogo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37680/jcd.v7i1.6953

The significant impact of air pollution, particularly PM2.5, has driven mitigation efforts to reduce health and environmental risks through more accurate prediction systems. In this study, a Deep Learning approach using the LSTM method with the addition of Polynomial transformation features is proposed to predict PM2.5 concentrations. Historical PM2.5 data from South Tangerang City, Banten, was used to train and test the model. The results show that LSTM with polynomial features effectively captures temporal and non-linear patterns in the data, producing accurate and consistent predictions for both training and testing data compared to conventional machine learning methods such as XGBoost and SVR. Polynomial feature transformation significantly improved model performance, as evidenced by the reduction in prediction errors and increased accuracy compared to LSTM without polynomial features. The model also demonstrates adaptability to sudden fluctuations in air quality data. Although the prediction results closely align with actual values, slight discrepancies may arise due to external factors or model limitations. Therefore, the LSTM approach with polynomial feature transformation is an effective and promising method for PM2.5 prediction.

Perancangan Sistem Pembangkit Listrik Tenaga Surya (PLTS) Off-Grid Pada Gedung Perkuliahan: Design of Off-Grid Solar Power Plant System (PLTS) in Lecture Building Fauzsan, Achmad Yamani; Yunesti, Putty; Wardani, Wulan Kusuma; Soelami, FX Nugroho; Friansa, Koko; Bangun Persada, Guna; Wira Buana, Setiadi
Journal of Community Development and Disaster Management Vol. 7 No. 1 (2025): Journal of Community Development and Disaster Management
Publisher : Institut Agama Islam Sunan Giri Ponorogo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37680/jcd.v7i1.6965

Off-Grid Solar Power Plant (PLTS) system planning at Building F of the Sumatra Institute of Technology, South Lampung Regency, Lampung Province is one of the efforts or strategies in reducing the use of conventional electrical energy from the main supplier, namely the State Electricity Company (PLN), and helping to succeed the government's efforts to increase the consumption of new and renewable energy. In PLTS system planning, the aspects that will be analyzed in this research are technical aspects with the help of PVsyst software to collect data regarding technical indicators such as performance ratios and energy production generated by Off-Grid PLTS. In this research, the required land area is 52 m2 from a total of 930 m2 of available land. The simulation results show that the planned rooftop solar system has a capacity of 10.8 kWp using 24 units of AE SOLAR MC144 430-450 W type solar modules, with the capacity of each module being 450 Wp. The PLTS system uses 1 inverter with the type Victron Quattro 48/15000 (15 kW) with a capacity of 15,000 W and uses a battery with the type LUNA2000-15- S0 which has a capacity of 15 kW in each unit. In this study, the solar module received solar irradiation of 4,616 kWh/m2 per day and 1,684 kWh/m2 per year. The production obtained in this study amounted to 14,475 kWh per year. The percentage of the Performance Ratio (PR) value produced by the designed OffGrid PLTS system is 73.01%.

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