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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 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

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Analysis of Crop Water Requirement for Maize with Planting Hole System under Dry Climate Condition Haruna; Yonny Koesmaryono; Tania June; Budi Kartiwa
Agromet Vol. 36 No. 1 (2022): JUNE 2022
Publisher : PERHIMPI (Indonesian Association of Agricultural Meteorology)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/j.agromet.36.1.31-41

Abstract

Crop water requirement is an important factor to increase water use efficiency and avoid crop failure in dryland. A way to increase water use efficiency is by determining an irrigation interval scenario and utilizing a planting hole system. Research on the analysis of water requirement in the planting hole system with an irrigation interval for maize is still limited. Therefore, this study aims to analyze the level of water requirement for maize in dryland. This research was conducted in Camplong Village, Kupang District, East Nusa Tenggara (NTT) from January-May 2020. The design used was a split-plot of various treatments. There were three different techniques of applying fertilizer as the main plot, and two treatments of pruning maize leaves as sub-plots. The different treatments of fertilizer application includes: 1) mixing manure with rice husk charcoal (Ls+As), 2) separating manure from rice husk charcoal (Ls/As), 3) no addition of manure or rice husk charcoal into the planting hole (control). The sub-plots were divided into 2 treatments namely with leaf pruning (P) and without leaf pruning (TP). The water requirement was analyzed based on the FAO 56 approach with the production calculation in weight unit of tiles (ubinan). The results showed that 75% water efficiency was achieved or there was a water saving of 3,119 m3/ha/planting season when compared to conventional techniques. The highest maize productivity (7 tons/ha) was attained in treatment of mixing manure with rice husk charcoal with leaf pruning. The result indicated that this water savings may be used to expand the planting area to 3 ha.
The paper describes about rainfall zoning and rainfall prediction modeling and its use for rice availability and vulnerability analysis.  The study used rainfall data from Station Baros (Banten region), Station Karawang and Station Kasomalang Subang (Northern Coastal of West-Java), and Station Tarogong (Garut).  Fuzzy clustering methods, that was applied for rainfall zoning, used the representative data for El-Nino, La-Nina and normal means condition during 1980-2006 periods.  Neural network ana Aris Pramudia; Yonny Koesmaryono; Irsal Las; Tania June; I Wayan Astika; Eleonora Runtunuwu
Forum Pasca Sarjana Vol. 31 No. 2 (2008): Forum Pascasarjana
Publisher : Forum Pasca Sarjana

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Abstract

The paper describes about rainfall zoning and rainfall prediction modeling and its use for rice availability and vulnerability analysis.  The study used rainfall data from Station Baros (Banten region), Station Karawang and Station Kasomalang Subang (Northern Coastal of West-Java), and Station Tarogong (Garut).  Fuzzy clustering methods, that was applied for rainfall zoning, used the representative data for El-Nino, La-Nina and normal means condition during 1980-2006 periods.  Neural network analysis technique was applied for rainfall prediction modeling.  Training set of the model based on the rainfall data of 1990-2002 periods, and validation model based on data of 2003-2006 periods.  The model were used to predict the rainfall of 2007-2008 periods.  The distibution of equivalence value between rainfall stations was very variative under El-Nino, La-Nina and Normal condition.  On the certain of equivalence level it could be derivated some different rainfall zone under El-Nino, La-Nina and normal condition.  Model training set could explain 88% of Baros rainfall variability, 89% of Karawang rainfall variability, and 72% of Kasomalang rainfall variability.  At Baros, Karawang and Subang, rainfall was predicted to be increased on November 2007-February 2008 period, and to be decreased on the March-June 2008, and to be increased on July-November 2008.  The rainfall decreasing on the March-June would carry a losses of rice production up to 25%.  But, applying the well irrigation management and suitable growing periods could decrease and mitigate the decreasing of paddy production.   Key words: rainfall prediction model, fuzzy clustering, neural network analysis, rice vulnerability
The field observation of this research was conducted from June 2005 to May 2007 in tropical rainforest at Lore Lindu National Park, Central Sulawesi.  The main objectives of this research were to study (i) the relationships between interception loss and rainfall properties and vegetation characters and to determine the dominant factors affected, (ii) the effect of rainfall interception on energy flux and mass transfer, and (iii) the dynamics of vertical energy flux under the forest and grass lan Abdul Rauf; Hidayat Pawitan; Cecep Kusmana; Tania June; G. Gravenhorst
Forum Pasca Sarjana Vol. 31 No. 4 (2008): Forum Pascasarjana
Publisher : Forum Pasca Sarjana

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Abstract

The field observation of this research was conducted from June 2005 to May 2007 in tropical rainforest at Lore Lindu National Park, Central Sulawesi.  The main objectives of this research were to study (i) the relationships between interception loss and rainfall properties and vegetation characters and to determine the dominant factors affected, (ii) the effect of rainfall interception on energy flux and mass transfer, and (iii) the dynamics of vertical energy flux under the forest and grass land. Rainfall interception was 36.34% of gross rainfall in 200 events, Depth rainfall and LAI factors had strong effects on rainfall interception.  The relationships could be expressed as Ic = 0.980+0.239P+0.035LAI (R2 = 0.78).  The output of this equation was compared with Gash model and the observation value showed that deviation of the equation was 1% and less than Gash model, so that equation gave as good result as Gash model gave.  By considering the data requirements and calculation procedures it was concluded that this equation is applicable for interception prediction.  Land use type had effects on radiative and energy balance.  Net radiation (Rn) in the forest was 10.66 MJ/m2/day and higher than in the grass land where incident global radiation was similar.  Vertical latent heat flux in the forest was 9.53 MJ/m2/day or 89.40% Rn in rainy day and 8.41 MJ/m2/day or 74.56% Rn in dry day, on the other hand, in the grass land, sensible heat flux was higher than latent heat flux of all weather condition.  Direct effect of rainfall interception on energy flux and mass transfer it is needed latent heat about 9.0 MJ/m2/rainy day to evaporate the rain intercepted 3.69 mm/rainy day.  Effect of rainfall interception had positive correlation with  latent heat flux and the negative correlation  with sensible heat flux.   Key words: interception, energy, mass and tropical rainforest
Strategi Peningkatan Produktivitas Kopi serta Adaptasi terhadap Variabilitas dan Perubahan Iklim melalui Kalender Budidaya Yeli Sarvina; Tania June; Elza Surmaini; Rita Nurmalina; Sutjahjo Surjono Hadi
Jurnal Sumberdaya Lahan Vol 14, No 2 (2020)
Publisher : Indonesian Center for Agriculture Land Resource Development

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21082/jsdl.v14n2.2020.65-78

Abstract

Abstrak. Rendahnya produktivitas kopi merupakan salah satu permasalahan utama dalam sistem produksi kopi Indonesia. Hal ini diantaranya disebabkan tidak adanya perawatan kopi yang optimal dengan memperhatikan fase fenologi kopi, serta dampak variabilitas dan perubahan iklim. Berbagai teknologi adaptasi kopi sudah banyak dihasilkan namun langkah adaptasi dengan memanfaatkan prakiraan iklim dalam bentuk penyesuian kegiatan budidaya dengan fase fenologi atau disebut sebagai kalender budidaya belum dikembangkan. Tulisan ini memaparkan tentang dampak variabilitas dan perubahan iklim pada tanaman kopi, teknologi adaptasi kopi yang sudah tersedia, perlunya pengembangan kalender budidaya kopi sebagai bentuk strategi adaptasi dan peningkatan produktivitas serta potensi dan tantangan pengembangan kalender budidaya kopi di Indonesia. Hasil review ini menunjukkan kalender budidaya kopi berpotensi dikembangkan sebagai strategi peningkatan produktivitas serta adaptasi terhadap variabilitas dan perubahan iklim. Abstract. Low productivity is one of the main challenges in Indonesia's coffee production system .It is low due to cultivation management; most of the coffee farmer does not manage their plantation base on the coffee phenology phase.  Moreover climate variability and change also have important effect on coffee productivity. Various technologies on adaptation and measurement to climate change and variability have been identified. Unfortunately, the technology which use climate forecast through adjusting cultivation activity and coffee phenology called as cultivation calendar do not exist yet. This paper provides an overview on the impact of climate variability and change to coffee production, the existing adaptation strategy, and the importance of cultivation calendar as a strategy for adapting and increasing productivity, and the potential and challenges to develop cultivation calendar in Indonesia. This review reveals that coffee cultivation calendar is a potential strategy for increaseing productivity and adapting climate change and variability.
ANALYSIS OF THE TEMPERATURE DEPENDENCE OF CO2 ASSIMILATION RATE (STUDY CASE: GLYCINE MAXL. MERR) TANIA JUNE
BIOTROPIA - The Southeast Asian Journal of Tropical Biology 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 - The Southeast Asian Journal of Tropical Biology 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   
ANALISIS KESESUAIAN IKLIM UNTUK PENGEMBANGAN CENDANA (Santalum album L.) DI NUSA TENGGARA TIMUR Rizaldi Boer; Tania June
BERITA BIOLOGI Vol 5, No 5 (2001)
Publisher : Research Center for Biology-Indonesian Institute of Sciences

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/beritabiologi.v5i5.1466

Abstract

Land suitability analysis method is introduced for sandalwood (Santalum album L.) in Nusa Tenggara Timur. It includes analysis on its (I) agro ecological suitability based on crop requirement for climate and soil characteristic, (2) ecological suitability, and (3) social-economic requirement for sustainable and profitable production. Approach to these three components is conducted through desk study/survey and on site research. All information collected and analyzed is combined together in GIS (Geographical Information System) for further use.
Vulnerability of Primary Productivity and Its Carbon Use Efficiency to Unfavorable Climatic Conditions in Jambi Province, Indonesia Ummu Ma'rufah; Tania June; Ashehad Ashween Ali; Akhmad Faqih; Yonny Koesmaryono; Christian Stiegler; Alexander Knohl
Journal of Mathematical and Fundamental Sciences Vol. 54 No. 1 (2022)
Publisher : Institute for Research and Community Services (LPPM) ITB

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/j.math.fund.sci.2022.54.1.4

Abstract

Climatic conditions and land cover play crucial roles in influencing the process of carbon uptake through vegetation. This study aimed to analyze the effect of climate variability on carbon uptake of four different land covers in Jambi Province, Indonesia. The four land cover types studied were: forest, shrub, grass, and irrigated soybean, based on Community Land Model version 5. Forest was found to have the highest net primary production (NPP) compared to the other land covers. Seasonal climate variability showed no major effect on NPP and gross primary production (GPP). However, GPP and NPP experienced significant declines during El Niño Southern Oscillation (ENSO), particularly in 2015. Carbon use efficiency (CUE = NPP/GPP) was also affected by ENSO, where CUE decreased during El Niño, particularly in October and November with an increased number of days without rainfall. In addition, the difference between latent (LE) and sensible heat (H) flux, denoted as (LE-H), decreased from August to November. This difference was highly correlated with NPP. This result indicates that when water supply is low, stomata will close, thereby reducing photosynthesis and transpiration, and allocating more of the available energy to sensible heat flux rather than latent heat flux.
NERACA KARBON PRA DAN POST HTI DI BLOK KHUSUS KESATUAN PENGELOLAAN HUTAN TASIK BESAR SERKAP RIAU Ari Suharto; Dodik Ridho Nurrochmat; Tania June
Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) Vol. 7 No. 1 (2017): Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (JPSL)
Publisher : Graduate School Bogor Agricultural University (SPs IPB)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jpsl.7.1.19-28

Abstract

Climate change is the current global issue that has been discuss over two decades. In Indonesia context, the total greenhouse gases (GHG) emissions from all sectors including land use change forestry, energy, peat fire, waste, agriculture and industry is 1.377.982,95 Gg CO2e. The GHG emission only counted by three main gases such as CO2, CH4 and N2O. Related to mitigation efforts by private company to reduce these emissions. This study more focus on comparation on how much natural forest can generate CO2 absorpsion from tree growth and how much plantation plantation company generate CO2 absorpsion from tree growth and their emission from its operational activities specially on transportation and N addition by synthentic fertilizer. The study conducted in specific block of forest management unit of Tasik Besar Serkap, Riau Province since January 2016 until June 2016. Based on this study, CO2 absorpsionfrom natural forest is  33.199.866,70 ton CO2, CO2 emissionfrom natural forest is 0, CO2 absorpsion from plantation company 13.366.266,32 ton CO2, CO2 emissionfrom synthetic fertilizer is 66.558.58 ton CO2, and CO2 emissionfrom transportation for operationalization of plantation company is 16.688,24 ton CO2.   Keyword: GHG emission, CO2 absorpsion, plantation Company, transportation, synthetic fertilizer
ESTIMASI POLA DISPERSI DEBU, SO2 DAN NOX DARI INDUSTRI SEMEN MENGGUNAKAN MODEL GAUSS YANG DIINTEGRASI DENGAN SCREEN3 Ni Wayan Srimani Puspa Dewi; Tania June; Mohammad Yani; Mujito Mujito
Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) Vol. 8 No. 1 (2018): Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (JPSL)
Publisher : Graduate School Bogor Agricultural University (SPs IPB)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jpsl.8.1.109-119

Abstract

Industrial activities are sources of air pollution. Pollutants dispersion in air influenced by meteorological condition, such as wind speed, wind direction, air temperarture, air turbulence and atmospheric stability. Air quality monitoring is important in controling the worst condition of pollutants concentration. Air quality monitoring is not easy to do, because it is time consuming, costly and need technology, so that air quality model is developed as an alternative air quality monitoring. This research used gaussian model, a model for predicting pollutant concentrations in downwind area. This model is applied in cement industry, focusing on major pollutants of the cement industry. Sources of pollutants consist of dust, SO2 and NOx. The modeling results showed maximum ground level concentration of dust, SO2 and NOx occur at night (7-10 PM). The maximum ground level concentration of dust, SO2 and NOx at night respectively were 13.16 μg / Nm3, 32.69 μg / Nm3, 100.21 μg / Nm3 (N1 stack) and 14.65 μg / Nm3, 36.65 μg / Nm3, 128.10 μg / Nm3 (N2 stack) based from downwind scenarios at night when atmospheric condition was stable. The distance where the maximum ground level concentration occured has a strong correlation with wind speed (-0.82 ≤ r ≤ -1). Based on gaussian model output, air quality monitoring should be executed at night time (stable atmospheric condition) and located at ground level where maximum concentration occured. Increasing 50m of stack can decrease 57% pollutant concentrations in stable condition.
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 Ani Iryani Antonius B. W. Ari Suharto Aris Pramudia Aris Pramudia Artika Ashehad Ashween Ali 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 Felia Rizky Aulia G. Gravenhorst GRAVENHORsr Hadi Susilo Arifin Handoko Handoko Hariyadi, Hariyadi Haruna Herlina Ika Ratnawati Hermawan, Rachmad Hidayat Pawitan I Wayan Astika IBROM, ANDREAS Impron Impron Irsal Las Iryani, Ani Kharmila S. Hariyanti Kii, Meriana Ina Knohl, Alexander M. Ardiansyah M. BL. de Rozari Ma'rufah, Ummu Misnawati, Misnawati Moh. Yani Mubarak, Syahrun 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 Salis Deris Artikanur Santikayasa, I Putu Sarvina, Yeli Siti Nadia Nurul Azizah Sonya Dewi Suman Sangadji 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 Yeli Sarvina Yon Sugiarto Yon Sugiarto Yonni Koesmaryono Yonny Koesmaryono Yudha Kristanto Yudi Riadi FanggidaE Yudi Setiawan Za’immatul Mu’allimah