Article Per Year (5 Year)
p-Index From 2021 - 2026
2.911
P-Index
This Author published in this journals
All Journal HAYATI Journal of Biosciences Jurnal Agronomi Indonesia (Indonesian Journal of Agronomy) Jurnal Ilmu Pertanian Indonesia Agromet Forum Pasca Sarjana BIOTROPIA - The Southeast Asian Journal of Tropical Biology TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal Sumberdaya Lahan Journal of Mathematical and Fundamental Sciences Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) BERITA BIOLOGI Omni-Akuatika LIMNOTEK - Perairan Darat Tropis di Indonesia Jurnal Penelitian Kelapa Sawit Jurnal Penelitian Sosial dan Ekonomi Kehutanan EKOLOGIA : Jurnal Ilmiah Ilmu Dasar dan Lingkungan Hidup JURNAL METEOROLOGI DAN GEOFISIKA Jurnal Sumberdaya Lahan Jurnal Tanah dan Iklim Agrotech Journal Jurnal Manusia dan Lingkungan Policy Brief Pertanian, Kelautan, dan Biosains Tropika Jurnal Meteorologi dan Geofisika Journal of Statistics and Data Science
Tania June
Departemen Geofisika Dan Meteorologi, Fakultas Matematika Dan Ilmu Pengetahuan Alam, Institut Pertanian Bogor, Bogor, 16680
Agriculture, Biological Sciences & Forestry Humanities Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Energy Environmental Science Immunology & microbiology Mathematics Physics Social Sciences Veterinary Other

Published : 54 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 54 Documents
Search

 2   3   4   5   6 
Machine learning-based reconstruction of missing rainfall extremes: a comparative analysis with classical models Yanuar Henry Pribadi; Tania June; I Putu Santikayasa; Supari Supari; Ana Turyanti
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 23, No 6: December 2025
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v23i6.27404

Abstract

The limited availability of daily rainfall data remains a key challenge in rainfall data analysis. This study assesses the effectiveness of spatial interpolation and bias correction techniques using satellite-derived rainfall data to fill missing observations in the Banten and Jakarta regions. Three interpolation methods inverse distance weighting (IDW), kriging, and spline were compared. Nine statistical and machine learning-based bias correction methods were applied to climate hazards group infrared precipitation with station data (CHIRPS), multi-source weighted-ensemble precipitation (MSWEP), and global precipitation measurement-integrated multi-satellite retrievals for GPM (GPM IMERG). Performance was evaluated using root mean square error (RMSE), mean absolute error (MAE), bias, Pearson correlation (R), and Kling-Gupta efficiency (KGE) in the expert team on climate change detection and indices (ETCCDI) extreme index. The research findings indicate that CHIRPS with quantile mapping (QM) bias correction delivers the best performance, followed by random forest regression (RFR) as the most accurate machine learning method. In spatial interpolation, IDW stands out as the leading method. Testing the extreme index ETCCDI confirms that CHIRPS-QM consistently outperforms machine learning and interpolation methods. In general, CHIRPS-QM and IDW represent the most effective combination of techniques for reconstructing daily rainfall, particularly extreme events. This study uniquely integrates spatial interpolation and bias correction in a unified evaluation.
ANALYSIS OF THE TEMPERATURE DEPENDENCE OF CO2 ASSIMILATION RATE (STUDY CASE: GLYCINE MAXL. MERR) TANIA JUNE
BIOTROPIA No. 24 (2005)
Publisher : SEAMEO BIOTROP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11598/btb.2005.0.24.176

Abstract

The maximum rate of carboxylation (Kcmax) and maximum rate of regeneration of Ribulose bisphosphate (RuBP) (controlled by the rate of electron transport, Jmax) arc two processes governing the photosynthetic capacity of plants. Both processes are affected by temperature. This paper examines how the response of these two photosynthetic capacities to temperature determines the temperature response curve of the CO2-assimilation rate for plants grown at different temperatures, by using the concept of the Farquhar €3 photosynthesis model. The goal is to use photosynthetic parameters from CO2 and light curves to predict the temperature dependence of the CO2-assimilation rate (A) of soybean and to estimate the preferred growth temperature. Analysis shows that the optimum temperature of the assimilation rate changes with the changing temperature dependence of carboxylation and regeneration of RuBP. Key words :  temperature dependence/soybean/modeling photosynthesis/preferred growth temperature.
THE LIGHT GRADIENTS INSIDE SOYBEAN LEAVES AND THEIR EFFECT ON THE CURVATURE FACTOR OF THE LIGHT RESPONSE CURVES OF PHOTOSYNTHESIS TANIA JUNE
BIOTROPIA No. 25 (2005)
Publisher : SEAMEO BIOTROP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11598/btb.2005.0.25.213

Abstract

ABSTRACT  Light gradients within leaves are not included in the model of Farquhar, although a steep light gradient does exist within leaves. For a bifacial  leaf, the model shows good agreement with measured data, but for an isobilateral leaf the model may underestimate photosynthesis measured by conventional gas exchange. Isobilateral leaves easily developed when plants were grown in growth chambers where some light were reflected from the growth chamber metal base onto the lower surface of the leaves during growth, resulting in adjustment of the photosynthetic capacity inside the leaves. This could also happen in the  field when canopy is very sparse and lower surface of leaves was exposed to reflected light from soil surface.  Complications occurred when fitting the light response curves of the electron transport rate, due to the interaction between the quantum yield of electron transport (a2) and the curvature factor (Θ). It is suspected that there may be an interaction with the light gradient  within the leaf. This manuscript discusses the effect of a light gradient inside a soybean leaf on the estimation of Θ. It is shown in the manuscript how the light curves of the isobilateral leaves (at different degree) responded when measured using conventional gas exchange and  how it affected the estimation of  Θ and the electron transport capacity, Jmax. An experiment was conducted to prove the hypothesis that this “out of ordinary” estimate of Θ (and hence Jmax) was due to the unmatched distribution of photosynthetic capacity with distribution of absorbed light.   Keywords :  light gradient / photosynthetic capacity (Jmax) / curvature factor (Θ) / gas exchange   
INTEGRATION OF NPP SEMI MECHANISTIC - MODELLING, REMOTE SENSING AND CIS IN ESTIMATING CO2 ABSORPTION OF FOREST VEGETATION IN LORE LINDU NATIONAL PARK TANIA JUNE; ANDREAS IBROM; GRAVENHORsr
BIOTROPIA Vol. 13 No. 1 (2006): BIOTROPIA Vol. 13 No. 1 June 2006
Publisher : SEAMEO BIOTROP

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1126.457 KB) | DOI: 10.11598/btb.2006.13.1.217

Abstract

Net Primary Production, NPP, is one of the most important variables characterizing the performance of an ecosystem. It is the difference between the total carbon uptake from the air through photosynthesis and the carbon loss due to respiration by living plants. However, field measurements of NPP are time-consuming and expensive. Current techniques are therefore not useful for obtaining NPP estimates over large areas. By combining the remote sensing and GIS technology and modelling, we can estimate NPP of a large ecosystem with a little ease. This paper discusses the use of a process based physiological sunshade canopy models in estimating NPP of Lore Lindu National Park (LLNP). The discussion includes on how to parameterize the models and how to scale up from leaf to the canopy. The version documented in this manuscript is called NetPro Model, whicha potential NPP model where water effect is not included yet. The model integrates CIS and the use of Remote Sensing, and written in Visual Basic 6.0 programming language and Map Objects 2.1. NetPro has the capability of estimating NPP of Cs vegetation under present environmental condition and under future scenarios (increasing [CO2], increasing temperature and increasing or decreasing leaf nitrogen level). Based on site-measured parameterisation of VaM* (Photosynthetic capacity), /JjRespiration) and leaf nitrogen ONi), the model was run under increasing CO2 level and temperature and varied leaf nitrogen. The output of the semi-mechanistic modelling is radiation use efficiency (?). Analysis of remote sensing data give Normalized Difference Vegetation Index (NDVI) and related Leaf Area Index (LAI) and traction of absorbed Photosynthetically Active Radiation (/M>AK). Climate data are obtained from 12 meteorological stations around die parks, which includes global radiations, minimum and maximum temperature. CO2 absorbed by vegetation (Gross Primary Production, GPP) is then calculated using the above variables and parameters with the following equation:estimating NPP, while ecosystem respiration is set as a function of temperature for estimating NEE. Under present condition, the net absorption of CO> by the vegetation of Lore Lindu National Park (NPP) is 1330.31 gCm"2year"' and at double CO2 and temperature increased of 3.5 "C, it increased by 23 %, reaching 1638.80 gCm'2 year'1.Key words : NPP Semi-mechanistic model, photosynthesis, carbon sequestration, net primary-production, tropical forest
Co-Authors ,, Impron - Sutanto ABDUL RAUF Ade Irawan Ahmad Bey Ahmad Bey Ahmad Faqih Akhmad Faqih Alexander Knohl Alexander Knohl Alexander Knohl Ali, Ashehad Aswen Ana Meijide Ana Turyanti Andi Safitri Sacita ANDREAS IBROM Ani Iryani Antonius B. W. Ari Suharto Aris Pramudia Aris Pramudia Artika Ashehad Ashween Ali Aulia, Felia Rizky Bambang Sapto P Budi Kartiwa Christian Stiegler Christian Stiegler Christian Stiegler Dhohir, Nur Muhammad Abdul Dodik Ridho Nurrochmat Dyah Lukita Sari, Dyah Lukita Edvin Aldrian Eleonora Runtunuwu Eleonora Runtunuwu Elza Surmaini Erliza Noor Firsta Zukhrufiana Setiawati G. Gravenhorst GRAVENHORsr Hadi Susilo Arifin Handoko Handoko Haruna Herlina Ika Ratnawati Hermawan, Rachmad Hidayat Pawitan I Wayan Astika Impron Impron Irsal Las Iryani, Ani Kharmila S. Hariyanti Kii, Meriana Ina Knohl, Alexander M. Ardiansyah M. BL. de Rozari Ma'rufah, Ummu Mega Fatimah Rosana Misnawati, Misnawati Moh. Yani Mubarak, Syahrun Muh. Taufik Mujito Mujito Naimatu Solicha Nasibatul Mahmudah Ni Wayan Srimani Puspa Dewi Ni Wayan Srimani Puspa Dewi P. Perdinan Pradiko, Iput Rahmat Hidayat Rahmat Hidayat Rahmat Hidayat Resti Salmayenti Retno Larasati Rinandyta, Kharisma Rini Hidayati Rita Nurmalina Rizaldi Boer Rudi Kurnianto Salis Deris Artikanur Santikayasa, I Putu Santikayasa, I Putu Sarvina, Yeli Siti Nadia Nurul Azizah Sonya Dewi Suman Sangadji Supari Supari Suria Darma Tarigan Surjono Hadi Sutjahjo Surmaini, Elza Sutanto, - Syaiful Anwar Tommy Harianto Tsamarah Nada Saninah Ummu Ma'rufah Ummu Ma'rufah Vivi Fitriani Vonny Koesmaryono Wido Hanggoro Yanuar Henry Pribadi Yeli Sarvina Yon Sugiarto Yon Sugiarto Yonni Koesmaryono Yonny Koesmaryono Yudha Kristanto Yudi Riadi Fanggidae Yudi Setiawan Za’immatul Mu’allimah