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All Journal Jurnal Agronomi Indonesia (Indonesian Journal of Agronomy) MANAJEMEN HUTAN TROPIKA Journal of Tropical Forest Management J-Sil (Jurnal Teknik Sipil dan Lingkungan) Agromet Forum Pasca Sarjana International Journal of Science and Engineering (IJSE) MEDIA KOMUNIKASI TEKNIK SIPIL Jurnal Ilmu Lingkungan Teknik Mesin "TEKNOLOGI" Jurnal Keteknikan Pertanian Jurnal Ilmu Komputer dan Agri-Informatika Majalah Geografi Indonesia AGRIVITA, Journal of Agricultural Science Agrokreatif Jurnal Ilmiah Pengabdian kepada Masyarakat GEA, Jurnal Pendidikan Geografi Jurnal Teknik Sipil Jurnal Irigasi Communications in Science and Technology Bawal : Widya Riset Perikanan Tangkap JURNAL PANGAN JURNAL TEKNIK HIDRAULIK Jurnal Tanah dan Iklim APPLIED RESEARCH ON CIVIL ENGINEERING AND ENVIRONMENT (ARCEE) JOURNAL OF WETLANDS ENVIRONMENTAL MANAGEMENT J-Sil (Jurnal Teknik Sipil dan Lingkungan)
Budi Indra Setiawan
Departemen Teknik Sipil Dan Lingkungan, Fakultas Teknologi Pertanian, Institut Pertanian Bogor (IPB University), Jl. Raya Dramaga, Kampus IPB Dramaga, Bogor 16002, Indonesia
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Earth & Planetary Sciences Economics, Econometrics & Finance Education Engineering Environmental Science Materials Science & Nanotechnology Mechanical Engineering Social Sciences Transportation

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Journal : Agromet

 1 
ANALISIS PERUBAHAN IKLIM LOKAL DAN DEBIT SUNGAI DI DAS CIDANAUANALYSIS OF LOCAL CLIMATE CHANGE AND DISCHARGE IN CIDANAU WATERSHED Fadli Irsyad; Satyanto Krido Saptomo; Budi Indra Setiawan
Agromet Vol. 25 No. 1 (2011): JUNE 2011
Publisher : PERHIMPI (Indonesian Association of Agricultural Meteorology)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (737.29 KB) | DOI: 10.29244/j.agromet.25.1.17-23

Abstract

Climate change causes uncertainty in water availability. The change may include annual rainfall, evapotranspiration and the shift of rainy and dry seasons, thus, it affects hydrological response in the region. Water demand will increase over time with population, industrial and business growth but the water availability has not been ascertained to sustainably satisfy those needs.  Cidanau Watershed has wetland ecosystem so-called the Rawa Danau (Caldera), with an area of around 2,500 ha. This watershed receives average annual rainfall around 2,500 mm. Climate change especially the local climate in the region of Cidanau was analyzed to illustrate how the relationship with Cidanau river discharge. It is expected that climate change does not affect the water availability in the watershed. In this study, the analysis of local climate change and its impact on the availability of water resources on Cidanau Watershed was based on climate trends, water balance analysis, and estimation of  discharge of Cidanau Watershed. This research was carried out using climate data and discharge from 1996 until 2010. The results showed that climate variables have changed from 1996 to 2010. This change mainly occurred in temperature, annual rainfall, and evapotranspiration. Based on the analysis, the discharge of Cidanau Watershed will decrease due to changes in rainfall and evapotranspiration. The estimated minimum river discharge of Cidanau Watershed ranges from 0.5 to 1 m3/s until 2050.
Penentuan Awal dan Durasi Musim Kemarau Menggunakan Fungsi Polynomial dengan Aplikasi Visual Basic for Applications (VBA) Fadli Irsyad; Satyanto Krido Saptomo; Budi Indra Setiawan
Agromet Vol. 28 No. 1 (2014)
Publisher : PERHIMPI (Indonesian Association of Agricultural Meteorology)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (497.975 KB) | DOI: 10.29244/j.agromet.28.1.40-46

Abstract

Forecasting the occurrence of the onset of dry season and its length is important in determining the availability of water for irrigation, domestic and industrial uses. The length of dry season is used for reference in calculating water demand. Prediction of drought can be studied based on the rainfall patterns that have occurred. This is possible because there is a tendency that the rain will repeat a certain pattern at a certain time. The purpose of this study was to predict the onset of dry and rainy seasons as well as their length. Determination of the onset of dry season and its length was conducted using polynomial function of the cumulative amount of rain every single day based on the rain data. The research was conducted using rainfall data from Climate Station III in Serang from 1989 to 2010. The sum of daily rainfall could form a polynomial function. If the magnitude of daily rainfall in a certain period of time is less than the slope of the cumulative annual rainfall, then at that time the dry season is occurred. Determination of the dry season peak can be done by finding the maximum (extreme) point from the polynomial function by getting the second derivative which value is close or equal to zero. In average, the dry season occurred in Serang city started on the 132nd until 300th day. Deviation value for the onset of dry and rainy seasons were 23 and 38 days, respectively, with an average of length of 168 days. The average of R2 value for polynomial function was 0.9937.
Identification of Climate Trends and Patterns in South Sumatra Riani Muharomah; Budi Indra Setiawan
Agromet Vol. 36 No. 2 (2022): DECEMBER 2022
Publisher : PERHIMPI (Indonesian Association of Agricultural Meteorology)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/j.agromet.36.2.79-87

Abstract

South Sumatra is one of low-lying provinces in Indonesia with a vast area of peatland that is prone to peat fires and floods. Understanding climate patterns in South Sumatra is very important to anticipate the impacts of extreme weathers. This study identified the climate trends and patterns based on the daily data of temperature, rainfall and evapotranspiration obtained from 1975 to 2021 (46 years). Here, the trend and its significance were detected based on the linear regression and Mann-Kendall test approaches. Characteristics of wet/dry season (start, peak, end) were identified annually based on the 6th polynomial equation using rainfall and evapotranspiration data. The results show an increased trend of annual average temperature (0.04oC per year), rainfall (6.83 mm per year), and evapotranspiration (0.77 mm per year). Other findings reveal that the cyclic season in South Sumatra is wet season (starts from 1±30 to 163±79 Julian day), followed by dry season (from 172±152 to 273±90 Julian day), then wet season (until 244±90 Julian day). The mean excess of annual rainfall was 708 mm (593 mm and 114, respectively, for wet and dry season). Further, we found that South Sumatra experienced extreme dry season (8 times) with the longest in 2019 that lasted for 167 days in a row. As a precaution, extreme wet spells may occur in November-December, and March, whereas extreme dry seasons can be found in July-September each year.
The Use of Artificial Neural Networks to Estimate Reference Evapotranspiration Haris, Abdul; Marimin; Wahjuni, Sri; Setiawan, Budi Indra
Agromet Vol. 39 No. 1 (2025): JUNE 2025
Publisher : PERHIMPI (Indonesian Association of Agricultural Meteorology)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/j.agromet.39.1.1-7

Abstract

Evapotranspiration is defined as the loss of water from soil and vegetation to the atmosphere, driven by weather conditions. It reduces the availability of water for agricultural purposes, which affects the amount of irrigation water, particularly during the dry season. The objective of this paper is to present a comparative analysis of the estimated reference evapotranspiration value based on artificial neural networks (ANN) with backpropagation bias 1 (BP-1) and backpropagation bias 0 (BP-0) architectures. The model was fed with data of air temperature, relative humidity, and solar radiation. The model is utilized to calculate the evapotranspiration using the Hargreaves method as the training data. The performance of ANN model was evaluated using the mean square error (MSE), root mean square error (RMSE), and coefficient determination (R2). Our results showed that both ANN models performed well as indicated by low error (MSE < 0.01) and high R2 (>0.99). Also, we found that air temperature and relative humidity determine the optimal prediction. Further, this proposed model can serve as a reference for other models seeking to determine the most appropriate computational model for evapotranspiration value estimation.
Flood Management Strategy Based on Analysis of Regional Characteristics and Causal Factors in Kendari City Agus Sakawuna, Wandira; Indra Setiawan, Budi; Perdinan
Agromet Vol. 39 No. 1 (2025): JUNE 2025
Publisher : PERHIMPI (Indonesian Association of Agricultural Meteorology)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/j.agromet.39.1.56-66

Abstract

Flooding is a disaster that causes environmental damage, economic losses, and social problem. Kendari City is one of the Indonesian cities that frequently experiences floods due to various factors, including high rainfall, land use changes, poor drainage conditions, and improper spatial management. This study aims to (1) assess the factors contributing to flooding, (2) analyze government governance and community participation in flood management, and (3) formulate an integrated flood management strategy. The methods used were descriptive analysis, spatial approach, SWOT analysis, and Quantitative Strategic Planning Matrix (QSPM). The results showed that there is evidence of land use changes between 2013 – 2023 based on spatial image analysis. We found there were three sub-districts, which is categorized on high flood vulnerability namely Baruga, Kadia, and Kambu sub-districts. Based on the level of community preparedness parameters including knowledge and attitudes, emergency plans, early warning, and resource mobilization, Baruga belongs to the medium category (74.60%), while Kambu (57.42%) and Kadia (59.58%) were in low category. QSPM analysis recommends two priority strategies to reduce flood vulnerability namely accelerating drainage system improvements and replicating the Baruga model in other areas. Future research should focus on climate change-induced flood modeling, gender-sensitive vulnerability assessments, and economic loss estimation to enhance the effectiveness of flood management strategies.
Co-Authors - Nurfaijah - Reskiana - Rudiyanto - Wiranto Adlan Adlan Agus Sakawuna, Wandira Ahmad Fausan Ahmad Fausan Akfia Rizka Kumala Akfia Rizka Kumala, Akfia Rizka Aldi , Kukuh Allen Kurniawan Amalia Nurul Huda Amalia, Regina Anggara, Heru Anna Farida Ardiansyah -- -- Ari Sugiarto Arief Sabdo Yuwono Arief Sabdo Yuwono Armanto, Muhammad Edi Bagus Rahmansyah Priyoadi Bakri Bakri Bakri Bakri Budiman Minasny Budy Wiryawan Chusnul Arif Deka Trisnadi Munarso Drajat Martianto Edi Susanto Eka Sulaecha Elhamida Rezkia Amien Elokpere, Immanuel Nauk Enan Mulyana Adiwilaga Endang Gunawan Erfiana, Eka Erizal , Euis Kania Kurniawati Fachruddin Fachruddin Fachruddin, Fachruddin Fadli Irsyad Fitry Hedianty, Riska Hadi Susilo Arifin Hanhan Ahmad Sofiyuddin Hanhan Ahmad Sofiyuddin Haris, Abdul Hermantoro . Hidayat Pawitan Hideki Furuya I Dewa Made Subrata Ihsani, Nanda Nashiha Immanuel Nauk Elokpere Joice Ester Manihuruk Joko Sumarsono Julianto, Baskoro Tri Kamarudin Abdulah Kazutoshi Osawa Khusnita Azizah Kukuh Aldi Kunihiko Yoshino Leopold O. Nelwan Lilik B. Prasetyo LILIK BUDIPRASETYO Lismining Pujiyani Astuti Liyantono Liyantono . Lolly M. Martief Luthfi Riady M. Yanuar J. Purwanto Manihuruk, Joice Ester Marimin , Martianto D Martianto D Martianto D, Martianto D Masaru Mizoguchi Masaru Mizoguchi Matsuda, Hiroshi Meiske Widyarti Meiske Widyarti Moch Ridwan Widiansyah Momon Sodik Imanuddin Muh. Sakti Muhammadiah Muh. Taufik Muhamad Askari Muhamad Askari Muhammad Didik Nugraha Muhammad Edi Armanto Muhammad Ihsan Muhammad Ihsan Muhammad Nor Mahmudi Muhammad Nor Mahmudi Muhammad Yanuar J. Purwanto Mustafril . Mustafril Mustafril Mustafril Mustafril Mustafril Mustafril Mustafril, Mustafril Nana Mulyana Arifjaya Naresworo Nugroho Niken Tanjung Murti Pratiwi Nora H. Pandjaitan NP, Ratmini S Nur Aini Iswati Hasanah Nur Aini Iswati Hasanah Nur Aini Iswati Hasanah Nurfaijah Nurfaijah Nurwahid Dimas Saputro Oktari Ega P. Perdinan Popi Redjekiningrum Dwi Mustatiningsih Popi Rejekiningrum Pradha Wihandi Sinarmata Prasetyo LB Prasetyo LB, Prasetyo LB,, Prasetyo LB Prastowo Prastowo Prastowo, Prastowo Priyoadi, Bagus Rahmansyah Purwanto MYJ Purwanto MYJ Purwanto MYJ, Purwanto MYJ Rahmat Isnain Ramadan, Risky Ratmini S NP Riani Muharomah Riani Muharomah Riani Muharomah, Riani Risky Ramadan Roh Santoso B. Waspodo Roh Santoso Budi Waspodo Rosmina Zuchri, Rosmina Rudi Yanto Rudi Yanto, Rudi rudiyanto Rudiyanto . Rudiyanto Rudiyanto Rusianto Saputra, Septian Fauzi Dwi Satyanto Krido Saptomo Septian Fauzi Dwi Saputra Slamet Suprayogi Slamet Suprayogi Slamet Widodo Slamet Widodo Soewarso Soewarso Sri Wahjuni Suhardi . Sulaecha, Eka Suroso Suroso Suroso Suwardi Suwardi Syafriyandi, Debby Tamrin Tamura, Koremasa Tarissa Kristina Teuku Devan Assiddiqi Umi Hanifah Vita Ayu Kusuma Dewi Widiansyah, Moch Ridwan Willy Bayuardi Suwarno Wiranto . Yanto Surdianto Yanuar Chandra Wirasembada Yanuar Chandra Wirasembada Yazid Ismi Intara Yudi Chadirin Yuli Suharnoto