Article Per Year (5 Year)
p-Index From 2020 - 2025
1.556
P-Index
This Author published in this journals
All Journal SARGA Engineering Science Letter The International Journal of Remote Sensing and Earth Sciences (IJReSES)
Abdullah Ali
Unknown Affiliation
Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology

Published : 7 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 7 Documents
Search

 1 
Sustainable and Green Architecture Industrial Technology: Challenges and Future Directions Aryanti, Dwi; Abdullah Ali; Usman, Ridwan; Sri Mumpuni Ngesti Rahaju; Ghazali, Ihwan
Engineering Science Letter Vol. 3 No. 03 (2024): Engineering Science Letter
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56741/esl.v3i03.568

Abstract

Sustainable design plays a pivotal role in addressing environmental and social concerns within the field of architecture. This concept involves the integration of sustainability principles throughout the architectural design process, encompassing social sustainability, sustainable materials and construction methods, and sustainability assessment. Architects can create structures that demonstrate environmental consciousness, optimize resource use, promote social inclusivity, and preserve cultural significance by incorporating these fundamental principles. However, the successful implementation of sustainable architecture faces several challenges. These challenges include limited awareness among professionals, resistance to change in the industry, complexities in integrating sustainability, and budget constraints. Overcoming these hurdles necessitates comprehensive education, government support, adherence to regulations, technology utilization, and economic incentives to encourage the adoption of sustainable design techniques. Despite these challenges, the field of sustainable architecture holds significant potential for further advancement. Opportunities for exploration include integrating emerging technologies like artificial intelligence and machine learning, applying sustainable architectural principles in urban planning, advancing sustainable materials and construction methods, considering social sustainability, and developing comprehensive frameworks for holistic sustainability assessment. By advancing knowledge and innovation in these areas, sustainable architecture can contribute substantially to creating a more sustainable built environment. Architectural professionals, through collaboration, interdisciplinary approaches, and a commitment to long-term sustainability, have the potential to play a crucial role in shaping a sustainable future for urban areas and communities.
Urban Farming Sebagai Strategi Penataan Ruang Mikro: Studi Kasus Kelurahan Bukit Duri, Jakarta Selatan Abdullah Ali; Dwi Aryanti; Erita Oktasari
SARGA: Journal of Architecture and Urbanism Vol. 19 No. 2 (2025): July 2025
Publisher : Universitas 17 Agustus 1945

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56444/v19i2.327

Abstract

Urban farming tidak hanya menjadi strategi ketahanan pangan perkotaan, tetapi juga pendekatan spasial dalam menata ruang mikro di kawasan padat penduduk. Penelitian ini bertujuan menganalisis kontribusi urban farming dalam optimalisasi ruang sempit melalui pendekatan arsitektur mikro dan pemberdayaan komunitas. Lokasi penelitian adalah Kelurahan Bukit Duri, Jakarta Selatan, yang memiliki karakter spasial padat dan terbatas namun aktif mengembangkan kebun komunitas berbasis rumah tangga. Pendekatan metode kualitatif deskriptif dengan studi kasus digunakan untuk mengidentifikasi pola adaptasi ruang dan transformasi fungsi ruang residual menjadi produktif secara ekologis dan sosial. Hasil penelitian menunjukkan bahwa urban farming berperan sebagai penghubung antar-ruang, media ekologis pasif, serta wadah rekreasi mikro komunitas. Penataan ruang mikro dilakukan melalui partisipasi warga dikoordinir oleh tim penggerak PKK, pemrograman urban farming berbasis komunitas, dengan pengelolaan air limbah rumah tangga sederhana. Penelitian ini memperkuat urgensi integrasi arsitektur lanskap mikro dan strategi ketahanan komunitas dalam penataan ruang kota yang berkelanjutan dengan pendekatan urban farming.
SPATIAL ANALYSIS OF QUANTITATIVE PRECIPITATION FORECAST ACCURACY BASED ON STRUCTURE AMPLITUDE LOCATION (SAL) TECHNIQUE Abdullah Ali; Achmad Rifani; Supriatna; Yunus Subagyo Swarinoto; Umi Sa’adah
International Journal of Remote Sensing and Earth Sciences Vol. 20 No. 2 (2023)
Publisher : BRIN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/j.ijreses.2023.v20.a3854

Abstract

Quantitative Precipitation Forecast (QPF) is the final product of a short-term forecasting algorithm (nowcasting) based on weather radar data which is widely used in hydrometeorological aspects. The calculation of the accuracy value using point data on a rainfall gauge often causes a double penalty problem because the QPF prediction results are in the form of spatial objects. This study aims to apply object-based spatial verification in analyzing the accuracy of QPF based on the Short Term Ensemble Prediction System (STEPS) algorithm using the SAL technique. The verification process is carried out by calculating the index value of the structure component (S), amplitude (A), and location (L) in the QPF prediction results based on the results of weather radar observations. The index values for components S and A have a range of -2 to 2, and 0 to 1 for component L with a perfect value of 0. The case study used is the occurrence of heavy rains that caused flooding in Bogor Regency in 2020. SAL verification results from 26 case studies used shows the average value of the components S, A, and L, respectively 0.51, 0.38, and 0.21. As many as 75% of all case studies have S and L component values less than 0.5 which indicate the structure and location of the QPF prediction object is close to the structure and location of the object of observation. A positive value in component A indicates that the QPF prediction results based on the STEPS algorithm tend to be overestimated but on a low scale, namely 0.38 out of 2.
RADAR-BASED STOCHASTIC PRECIPITATION NOWCASTING USING THE SHORT-TERM ENSEMBLE PREDICTION SYSTEM (STEPS) (CASE STUDY: PANGKALAN BUN WEATHER RADAR) Abdullah Ali; Supriatna; Umi Sa’adah
International Journal of Remote Sensing and Earth Sciences Vol. 18 No. 1 (2021)
Publisher : BRIN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/j.ijreses.2021.v18.a3527

Abstract

Nowcasting, or the short-term forecasting of precipitation, is urgently needed to support the mitigation circle in hydrometeorological disasters. Pangkalan Bun weather radar is single-polarization radar with a 200 km maximum range and which runs 10 elevation angles in 10 minutes with a 250 meters spatial resolution. There is no terrain blocking around the covered area. The Short-Term Ensemble Prediction System (STEPS) is one of many algorithms that is used to generate precipitation nowcasting, and is already in operational use. STEPS has the advantage of producing ensemble nowcasts, by which nowcast uncertainties can be statistically quantified. This research aims to apply STEPS to generate stochastic nowcasting in Pangkalan Bun weather radar and to analyze its advantages and weaknesses. Accuracy is measured by counting the possibility of detection and false alarms under the 5 dBZ threshold and plotting them in a relative operating characteristic (ROC) curve. The observed frequency and forecast probability is represented by a reliability diagram to evaluate nowcast reliability and sharpness. Qualitative analysis of the results showed that the STEPS ensemble produces smoothed reflectivity fields that cannot capture extreme values in an observed quasi-linear convective system (QLCS), but that the algorithm achieves good accuracy under the threshold used, up to 40 minutes lead time. The ROC shows a curved upper left-hand corner, and the reliability diagram is an almost perfect nowcast diagonal line.
PRELIMINARY STUDY OF A RADIO FREQUENCY INTERFERENCE FILTER FOR NON-POLARIMETRIC C-BAND WEATHER RADAR IN INDONESIA (CASE STUDY: TANGERANG WEATHER RADAR) Abdullah Ali; Iddam Hairuly Umam; Hidde Leijnse; Umi Sa’adah
International Journal of Remote Sensing and Earth Sciences Vol. 18 No. 2 (2021)
Publisher : BRIN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/j.ijreses.2021.v18.a3727

Abstract

C-Band weather radar that operates at a frequency of 5 GHz is very vulnerable to radio frequency interference (RFI) because it is located on a free used frequency. RFI can cause image misinterpretation and precipitation echo distortion. The new allocation for free spectrum recommended by the World Radio Conference 2003 and weather radar frequency protection in Indonesia controlled by the Balai Monitoring Spektrum Frekuensi (BALMON) have not provided permanent protection against weather radar RFI. Several RFI filter methods have been developed for polarimetric radars, but there have been no studies related to RFI filters on non-polarimetric radars in Indonesia. This research aims to conduct an initial study of RFI filters on such radars. Four methods were applied in the initial study. The Himawari 8 cloud mask was used to eliminate interference echo based on VS, IR, and I2 channels, while the nature of false echo interference that does not have a radial velocity value was used as the basis for the application of the Doppler velocity filter. Another characteristic in the form of consistent echo interference up to the maximum range was used as the basis for applying a beam filling analysis filter with reflectivity thresholds of 5 dBZ and 10 dBZ, with beam filling of more than 75%. Finally, supervised learning Random Forest (RF) was also used to identify interference echo based on the characteristics of the sampling results on reflectivity, radial velocity, and spectral width data. The results show that the beam filling analysis method with a threshold of 5 dBZ provides the best RFI filter without eliminating echo precipitation.
AN ENHANCEMENT TO THE QUANTITATIVE PRECIPITATION ESTIMATION USING RADAR-GAUGE MERGING Abdullah Ali; Gumilang Deranadyan; Iddam Hairuly Umam
International Journal of Remote Sensing and Earth Sciences Vol. 17 No. 1 (2020)
Publisher : BRIN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/j.ijreses.2020.v17.a3316

Abstract

Quantitative Precipitation Estimation (QPE) is quite important information for the hydrology fields and has many advantages for many purposes. Its dense spatial and temporal resolution can be combined with the surface observation to enhance the accuracy of the estimation. This paper presents an enhancement to the QPE product from BMKG weather radar network at Surabaya by adjusting the estimation value form radar to the real data observation from rain gauge. A total of 58 rain gauge is used. The Mean Field Bias (MFB) method used to determine the correction factor through the difference between radar estimation and rain gauge observation value. The correction factor obtained at each gauge points are interpolated to the entire radar grid in a multiplicative adjustment. Radar-gauge merging results a significant improvement revealed by the decreasing of mean absolute error (MAE) about 40% and false alarm ratio (FAR) as well an increasing of possibility of detection (POD) more than 50% at any rain categories (light rain, moderate rain, heavy rain, and very heavy rain). This performance improvement is very beneficial for operational used in BMKG and other hydrological needs.
PRELIMINARY STUDY OF HORIZONTAL AND VERTICAL WIND PROFILE OF QUASI-LINEAR CONVECTIVE UTILIZING WEATHER RADAR OVER WESTERN JAVA REGION, INDONESIA Abdullah Ali; Riris Adriyanto; Miming Saepudin
International Journal of Remote Sensing and Earth Sciences Vol. 15 No. 2 (2018)
Publisher : BRIN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/j.ijreses.2018.v15.a3075

Abstract

One of the weather phenomena that potentially cause extreme weather conditions is the linear-shaped mesoscale convective systems, including squall lines. The phenomenon that can be categorized as a squall line is a convective cloud pair with the linear pattern of more than 100 km length and 6 hours lifetime. The new theory explained that the cloud system with the same morphology as squall line without longevity threshold. Such a cloud system is so-called Quasi-Linear Convective System (QLCS), which strongly influenced by the ambient dynamic processes, include horizontal and vertical wind profiles. This research is intended as a preliminary study for horizontal and vertical wind profiles of QLCS developed over the Western Java region utilizing Doppler weather radar. The following parameters were analyzed in this research, include direction pattern and spatial-temporal significance of wind speed, divergence profile, vertical wind shear (VWS) direction, and intensity profiles, and vertical velocity profile. The subjective and objective analysis was applied to explain the characteristics and effects of those parameters to the orientation of propagation, relative direction, and speed of the cloud system’s movement, and the lifetime of the system. Analysis results showed that the movement of the system was affected by wind direction and velocity patterns. The divergence profile combined with the vertical velocity profile represents the inflow which can supply water vapor for QLCS convective cloud cluster. Vertical wind shear that effect QLCS system is only its direction relative to the QLCS propagation, while the intensity didn’t have a significant effect.
Co-Authors Achmad Rifani Dwi Aryanti Erita Oktasari Gumilang Deranadyan Hanang Septioyudho Hidde Leijnse Iddam Hairuly Umam Ihwan Ghazali Miming Saepudin Ridwan Usman Riris Adriyanto Sri Mumpuni Ngesti Rahaju Supriatna Umi Sa’adah Wahyunengsih, Wahyunengsih Yunus Subagyo Swarinoto