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All Journal MANAJEMEN HUTAN TROPIKA Journal of Tropical Forest Management Jurnal Ilmu Pertanian Indonesia Jurnal Teknologi Industri Pertanian Agromet Seminar Nasional Aplikasi Teknologi Informasi (SNATI) JURNAL ANALISIS KEBIJAKAN KEHUTANAN Jurnal Ketahanan Nasional Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) BERITA BIOLOGI LIMNOTEK - Perairan Darat Tropis di Indonesia Forest and Society International Journal of Remote Sensing and Earth Sciences (IJReSES) JURNAL METEOROLOGI DAN GEOFISIKA PERENNIAL Jurnal Tanah dan Iklim Jurnal Risalah Kebijakan Pertanian dan Lingkungan Indonesian Journal of Multidisciplinary Science Aceh International Journal of Science and Technology Policy Brief Pertanian, Kelautan, dan Biosains Tropika The International Journal of Remote Sensing and Earth Sciences (IJReSES)

Rizaldi Boer

Department Of Geophysics And Meteorology, Faculty Of Mathematics And Natural Sciences, IPB University, Dramaga Campus, Bogor, Indonesia 16680

Author-ID : 2481053

Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Physics Public Health Social Sciences

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UNDERSTANDING FARMERS’ NEED TO CLIMATE INFORMATION Rizaldi Boer; Ismail Wahab; Mugni Hadi Hariadi
Jurnal Meteorologi dan Geofisika Vol 8, No 2 (2007)
Publisher : Pusat Penelitian dan Pengembangan BMKG

Availability of good skill seasonal climate forecast will be very useful for farmers to assist them to tailor their cropping strategies to the forecast so that the climate risks can be minimized or avoided. This study aimed to identify type of relevant climate forecast information for potato and chili farmers of Pengalengan. The study was done through interview with 60 farmers. The study reveals that the most important climate information required by farmers is the onset of rainy season and then followed by amount of rainfall, and number of rainy days during the seasons. About 75% of farmers said that they need the information at least one month before planting to enable them to prepare better planting strategy. For potato farmers, they expect that they can get information on the onset of rainy season around August. However, the increase in farmers’ capacity to use seasonal climate forecast should be followed by supporting policies or regulations or resources to maximize the benefit of using the forecast, such as price policy, and good storage facility to accommodate surplus production resulting from changing planting strategy. Ketersediaan prakiraan musim dengan skill tinggi sangat diperlukan bagi petani untuk menyesuaikan strategi budidaya dengan informasi prakiraan tersebut sehingga risiko iklim dapat diminimumkan atau dihindari. Kajian ini mengidentifikasi informasi prakiraan yang relevan bagi petani kentang dan cabe Pengalengan, Bandung-Jawa Barat dengan menginterview 60 petani. Hasil analisis menunjukkan bahwa informasi iklim yang dianggap paling penting bagi petani ialah awal masuk musim hujan dan kemudian diikuti oleh banyak hari hujan dalam musim. Sekitar 75% petani menyatakan bahwa mereka membutuhkan informasi tersebut minimal satu bulan sebelum tanam supaya mereka dapat mengatus strategi budidaya dengan baik. Untuk petani kentang, mereka mengharapkan dapat memperoleh informasi prakiraan awal musim hujan sekitar Agustus. Namun demikian para petani mengungkapkan bahwa peningkatan kemampuan mereka dalam memanfaatkan informasi iklim tidak akan bermanfaat banyak apabila tidak disertai dukungan kebijakan dan peraturan atau sumberdaya yang memungkinkan mereka untuk bisa memaksimumkan keuntungan dari menggunakan informasi prakiraan tersebut. Kebijakan yang dimaksud diantaranya kebijakan harga, dan ketersediaan fasilitas gudang yang dapat mengakomodasi kelebihan produksi yang diperoleh dari perubahan pola budidaya yang mereka lakukan.

IDENTIFIKASI DAN DELINEASI WILAYAH ENDEMIK KEKERINGAN UNTUK PENGELOLAAN RISIKO IKLIM DI KABUPATEN INDRAMAYU Woro Estiningtyas; Rizaldi Boer; Irsal Las; Agus Buono
Jurnal Meteorologi dan Geofisika Vol 13, No 1 (2012)
Publisher : Pusat Penelitian dan Pengembangan BMKG

Tulisan ini menyajikan hasil analisis, survey dan wawancara dengan petani di Kabupaten Indramayu terkait dengan kejadian kekeringan. Klasifikasi dan peta tingkat endemik kekeringan dianalisis berdasarkan plot antara anomali luas kekeringan dan anomali frekuensi kejadian kekeringan. Berdasarkan survey di Kabupaten Indramayu, kekeringan menjadi penyebab utama gagal panen (79,8%). Kekeringan paling sering terjadi selama 6 bulan dan bulan Juni adalah bulan yang dominan terjadi kekeringan. Sebaran rata-rata luas kekeringan per kecamatan adalah 26 Ha sampai dengan 1602,5 Ha, dengan rata-rata 406 Ha/per kecamatan. Jumlah kejadian kekeringan berkisar antara 1-9 kejadian dan rata-rata 4 kejadian kekeringan dalam kurun waktu 2005-2011. Peta endemik kekeringan menghasilkan sebaran wilayah dengan klasifikasi endemik kekeringan tinggi, agak tinggi, agak rendah dan rendah. Beberapa pilihan teknologi untuk pengelolaan risiko iklim diusulkan dalam penelitian ini berdasarkan peta endemik kekeringan, karakteristik dan diskripsi setiap wilayah. Wilayah endemik tinggi merupakan prioritas pertama penanganan apabila terjadi bencana kekeringan. Pada wilayah ini dapat diterapkan teknik irigasi bergilir teratur, penggunaan varietas sangat genjah dan toleran kekeringan. Untuk sawah tadah hujan digunakan padi gogorancah pada MH dan walik jerami pada MK, pergiliran varietas dan pengaturan pola tanam. This paper presents the results of analysis, surveys and interviews with farmers in Indramayu district. Drought becomes a major cause of crop failure (79,8%). Classification and map of drought were analysis based on anomaly drought area and frequency drought data.. Distribution of average drought in Indramayu district is 406 ha and 4 incidents in 2005-2011. Map of endemic drought is produce four classification : high, middle high, middle low and low. Several technologies for managing climate risk in this research can be designed based on the map of endemic drought, the characteristics and description of each area. Highly endemic areas is the first priority handling in case of drought. In this irrigation techniques can be applied to regular rotation, the use of very early maturing varieties and drought tolerant. For rainfed land, gogorancah can be applied during wet season, and walik jerami in dry season, rotating varieties and cropping patterns.

PENGGUNAAN METODE FUZZY SIMILARITY DALAM PENENTUAN CAKUPAN WILAYAH INDEKS CURAH HUJAN Woro Estiningtyas; Agus Buono; Rizaldi Boer; Irsal Las
Jurnal Meteorologi dan Geofisika Vol 14, No 2 (2013)
Publisher : Pusat Penelitian dan Pengembangan BMKG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31172/jmg.v14i2.155

Dalam pengembangan asuransi indeks iklim, diperlukan informasi berapa luas cakupan indeks iklim yang disusun dari suatu stasiun hujan yang dapat mewakili berlakunya suatu indeks. Penelitian ini menyajikan suatu pendekatan penentuan cakupan indeks hujan menggunakan metode Fuzzy Similarity (FS). Metode FS tergolong baru dalam aplikasi cakupan indeks hujan ini. Dalam analisisnya, metode FS tidak memerlukan periode data yang sama pada setiap stasiun hujan. Hal ini sangat membantu karena seringkali satu stasiun hujan hanya memiliki data yang pendek sementara ada stasiun lain yang cukup panjang datanya. Untuk analisis ini digunakan stasiun Cikedung, Lelea, Terisi dan Kandanghaur yang semuanya tercakup dalam wilayah administratif Kabupaten Indramayu, Jawa Barat. Masing-masing stasiun referensi dikorelasikan dengan 41 stasiun di seluruh Kabupaten Indramayu. Cakupan wilayah indeks hujan ditetapkan berdasarkan nilai korelasi lebih dari 0.45. Hasil penelitian menunjukkan bahwa cakupan wilayah untuk stasiun pewakil Terisi adalah yang paling luas. Sekitar 53.8% dari seluruh stasiun di Kabupaten Indramayu memiliki kemiripan data dengan stasiun Terisi. Sebaliknya stasiun pewakil Kandanghaur, hanya berlaku untuk stasiun itu sendiri karena korelasinya yang sangat rendah terhadap stasiun lainnya. This research provides an option method of determining the coverage area of the rainfall station for the implementation of climate indices with Fuzzy Similarity (FS). Four rainfall station selected for each sub district as reference station is Cikedung, Lelea, Terisi and Kandanghaur, Indramayu District, West Java. Each reference station was correlated with 41 stations across the district Indramayu. The result shows that the coverage area for the Terisi station was the most extensive. Approximately 53.8% of all stations in Indramayu district have similarities with the Terisi rainfall station data. Whilst for Kandanghaur station, it only covers Kandanghaur because there is low correlation with another rainfall station.

Assessment of Livelihood Vulnerability to Climate Change Using Three Index Methods Divina Umanita Iliyyan; Rizaldi Boer; Rini Hidayati
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.36.2.88-100

Vulnerability assessment based on composite indices such as Livelihood Vulnerability Index (LVI) or Sistem Informasi Data Indeks Kerentanan (SIDIK) is widely used, and it is practically known as the initial step to determine the adaptation policies for climate change. Various vulnerability assessment methods that have been developed including LVI and SIDIK raise the possibility that different methods can lead to different conclusions. This research aimed to assess whether the results of vulnerability analysis using different methods on the same data offer consistent results. Comparative studies on this topic based on the different indexing methods may also provide a beneficial insight for stakeholders. We tested LVI, LVI-IPCC, and SIDIK methods in Tanah Merah and Lobuk villages in Sumenep Regency, East Java. We collected the primary data based on interviews with households in the field. Climate data (monthly rainfall, maximum, and minimum air temperature) with 0.05o spatial resolution from 2001-2020 was obtained from CHIRPS and TerraClimate. Our results showed that both villages were consistently categorized as vulnerable according to LVI, LVI-IPCC, and SIDIK methods. This result is also consistent at village and household levels. The findings showed difference in the key indicators driving the vulnerability in both villages. The key indicators in Tanah Merah Village were households without waste management, training from government, and no early warning system. In contrast, the key indicators driving the vulnerability for Lobuk were households with small land ownership and households with debt. Further, action recommendations for Tanah Merah are providing waste banks and waste sorting facility, upgrading public capacity through workshops, and adopting social media to share climate-related information. For Lobuk, the recommendations are the determination of regulatory instruments related to space utilization in the coastal area, mapping area affected by climate change, and financial literacy improvement especially promoting savings in the community.

Comparison Performance of the Multi-Regional Climate Model (RCM) in Simulating Rainfall and Air Temperature in Batanghari Watershed Unggul Handoko; Rizaldi Boer; Edvin Aldrian; Arnida L. Latifah; Bambang D. Dasanto; Apip Apip; Misnawati Misnawati
Aceh International Journal of Science and Technology Vol 8, No 2 (2019): August 2019
Publisher : Graduate Program of Syiah Kuala University

Many scientists assume that RCM output is directly used as input for climate change impact models, while it consists of systematic errors. Consequently, RCM still requires bias correction to be used as an input model. The purpose of this study was to analyze the RCM performance before and after bias correction, its best performance from several models, as well as to clarify the importance of bias correction before it is used to analyze climate change. As a result of this, the method used for bias correction was Distribution Mapping method (for rainfall) and Average Ratio-method (for air temperature). While the Generalized Extrem Valuedistribution (GEV) was used to analysis extreme rainfall. To determine the performance of the model before and after bias correction, statistical analysis was used namelyR2, NSE, and RMSE. Furthermore, ranking for every single model and Taylor Diagram was used to determine the best model. The results showed that the RCMs performance improved with bias correction. However, CSIRO-Mk3-6-0, CCSM4, GFDL-ESM2M, and MPI-ESM-MR models can be ignored as ensemble models, because they demonstrated poor performance in simulating rainfall. From this study, it was suggested that the best model in simulating daily and monthly rainfall was ACCESS1-0, while MIROC-ESM-CHEM (daily air temperature) and ACCESS1-0 (monthly air temperature) were best models used in simulating air temperature. Key words: RCM, bias correction, performance, rainfall, air temperature

Statistical Assessment of High-Resolution Climate Model Rainfall Data in the Ciliwung Watershed, Indonesia Widya Ningrum; Rizaldi Boer; Apip
Agromet Vol. 37 No. 1 (2023): JUNE 2023
Publisher : PERHIMPI (Indonesian Association of Agricultural Meteorology)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/j.agromet.37.1.21-33

The impact of climate change on hydrometeorological hazards pointed out the necessity for information on rainfall data. Using Climate Hazard Group InfraRed Precipitation with Station (CHIRPS) data could solve the problem of the scarcity of observed rainfall data at a finer spatial resolution. This paper examines the performance of high-resolution rainfall climate model data called CORDEX SEA and NEXGDPP in the Ciliwung watershed, Indonesia. We used CHIRPS data as observed data, which was separately divided for calibration (1981-2005) and validation (2006-2020) of the climate models. Totally 14 climate models were used, comprised of 4 CORDEX and 10 NEXGDPP. The models accuracy was assessed based on three statistical indicators: bias, mean absolute percentage error (MAPE), and mean square error (MSE). We determined the best model based on Taylor Diagram. The results showed that the bias value in the dry season was smaller than in the wet and transitional seasons. All models performed well as shown by the low bias values except for the ACCESS1-0 RCP8.5 model. The findings revealed that MRI-CGCM was the best model for calibration, whereas EC-Earth was the best model in the validation period for both RCP4.5 and RCP8.5 scenarios. Further, the choice of climate model may influence water resource management over watershed scale.

Evaluating the feasibility of oil palm agroforestry in Harapan Rainforest, Jambi, Indonesia Rahmani, Tabah Arif; Nurrochmat, Dodik Ridho; Hero, Yulius; Park, Mi Sun; Boer, Rizaldi; Satria, Arif
Forest and Society Vol. 5 No. 2 (2021): NOVEMBER
Publisher : Forestry Faculty, Universitas Hasanuddin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24259/fs.v5i2.10375

About 2.5 million hectares of a total of 15 million hectares of oil palm plantation in Indonesia are planted in, or conflict with, the forest zone. Oil palm plantations face a conflict between socio-economic and ecological issues. This study was conducted in the Harapan Rainforest, Jambi to evaluate the potential of oil palm-based agroforestry to reconcile economic and ecological interests, by considering socio-economic and financial feasibility as well as biodiversity and land cover. The financial feasibility of oil palm agroforestry is compared to oil palm monoculture, employing a discounted cash flow approach using three indicators: net present value (NPV), benefit-cost ratio (BCR), and internal rate of return (IRR). Two ecological indicators—biodiversity and land cover—are evaluated in an experimental plot of oil palm agroforestry in Jambi. This study indicates that the NPV, BCR, and IRR of oil palm monoculture are IDR 62,644,836 (US$ 4,476.84), 1.39, and 20.77%, respectively, while the oil palm agroforestry planted in the experimental plot potentially generates much better values of financial indicators with NPV, BCR, and IRR being IDR 209,221,212 (US$ 14,951.76), 1.79, and 24.42%, respectively. Besides evaluating financial feasibility, we also found that the reviewed current studies indicate that the oil palm agroforestry provides positive ecological impacts, such as increased forest land cover, invertebrate fauna, and bird diversity.

Peatland fire regime across Riau peat hydrological unit, Indonesia Rossita, Annuri; Boer, Rizaldi; Hein, Lars; Nurrochmat, Dodik; Riqqi, Akhmad
Forest and Society Vol. 7 No. 1 (2023): APRIL
Publisher : Forestry Faculty, Universitas Hasanuddin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24259/fs.v7i1.21996

Peatland stretches across approximately 8% of Indonesia's land area. Peat fire disturbance, which affects the carbon dynamics of the ecosystem, will determine the country's vision for a long-term strategy for low carbon development. While the impact of excessive draining on peatland fire is well-known to the scientific community, much less is known about peatland fire regimes in distinctive land management systems. We examined the effect of land use, land management, and climatic factors in peatland fires. The examination was performed at the Peat Hydrological Unit at Gaung?Batang Tuaka, Riau, Indonesia. We used a semi-automatic approach to determine the area of burned peatland and used a spatial analysis tool to analyze the spatio-temporal pattern of peatland fire in the region. Our results demonstrate an increasing trend of peatland fires between 2001 and 2020, with 33% of the burned peatland undergoing multiple fires. The bulk of the burned land was covered by either wet shrubs or estate crops, with the area of burned wet shrub-land cover was two times higher than the burned estate crop-land cover. Concerning peatland draining, this study found a positive correlation between draining intensity, as represented by canal density, and burned area in peatland forests. In managed and unmanaged land, canal density had no apparent correlation with the area of peatland burned; however, we found that the weighted area of burned peatland was, on average, seven times higher in the unmanaged area compared to the managed area. These findings urgently demand an increase in community participation in the utilization of unmanaged land and prompt execution of peatland rewetting in drained peat forests. While the government of Indonesia has developed a social forestry and agrarian reform scheme to enable the legal utilization of unproductive land in forest areas, we argue that greater impacts can only be achieved if environmental services incentive schemes escalate non-party actors' participation.

The Potential Ecological Impact of Oil Palm Agroforestry as Term of Improvement for Restoring Harapan Rainforest Rahmani, Tabah Arif; Nurrochmat, Dodik Ridho; Park, Mi Sun; Boer, Rizaldi; Ekayani, Meti
Jurnal Manajemen Hutan Tropika Vol. 30 No. 3 (2024)
Publisher : Institut Pertanian Bogor (IPB University)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.7226/jtfm.30.3.376

Around 20.000 ha of forestland in the Harapan Rainforest, Jambi Province, Indonesia, is currently under encroachment by local communities. Local communities encroach on forest land converted into oil palm plantations. Expanding oil palm plantations into forest areas led to biodiversity loss and massive carbon emissions. The annual net carbon emissions of oil palm transformation from the forest in Indonesia is around 12.41–25.83 ton-1 ha-1 year-1. Oil palm agroforestry is considered to be able to increase carbon sequestration and the biodiversity level. CRC-990/EFForTS has established an oil palm agroforestry experimental plot in Jambi Province, Indonesia, namely B11 plot. This study compares the carbon sequestration and biodiversity level between oil palm monoculture and agroforestry. The data collected in this study was obtained from the CRC-990 experimental plots. We collected data on the CRC-990 oil palm agroforestry plot in 6 plots of 40 m × 40 m and 6 plots of 20 m × 20 m. We chose the location and theme of this research because, until now, no research has been conducted yet to calculate the potential carbon absorption capacity and biodiversity level of oil palm agroforestry patterns in B11 plot. This study uses an allometric equation and IPCC guidelines to estimate biomass and carbon sequestration. SNI 8014 is used to evaluate the biodiversity level. This study found that oil palm agroforestry has more significant carbon sequestration. Increasing intercropping in oil palm agroforestry will increase the amount of carbon sequestration. This study also found that oil palm agroforestry has a higher biodiversity level. The species diversity of oil palm agroforestry is moderate, while oil palm monoculture is low. These potential ecological impacts can be considered an initial step in restoring the Harapan Rainforest. It is important to choose appropriate intercrops and proper management to increase the successful implementation of oil palm agroforestry.

Peran Kesatuan Pengelolaan Hutan Pasca terbit Undang-Undang Cipta Kerja dan Implikasinya Nugroho, Bramasto; Setiajiati, Fitta; Rahayu, Nur Hygiawati; Indarto, Adi Misda; Meilantina, Mayang; Boer, Rizaldi; Rafiuddin, Alwan
Policy Brief Pertanian, Kelautan, dan Biosains Tropika Vol 5 No 1 (2023): Policy Brief Pertanian, Kelautan dan Biosains Tropika
Publisher : Direktorat Kajian Strategis dan Reputasi Akademik IPB University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/agro-maritim.0501.497-499

KPH sebagai ujung tombak pengelolaan hutan negara di tingkat tapak memiliki peran sentral dalam masa depan kehutanan Indonesia. Pengelolaan KPH yang masih belum ideal, saat ini mendapat tantangan baru dengan adanya UUCK dan peraturan turunannya (PP No. 23 tahun 2021 tentang Penyelenggaraan Kehutanan). Sejarah pembentukan KPH diawali dengan semangat pengelola tingkat tapak yang mandiri dan dapat berkontribusi kepada daerah, tetapi saat ini muncul kekecewaan dengan adanya perubahan wewenang, dari awalnya dapat “memanfaatkan hutan” menjadi “fasilitator kegiatan”. Pengurangan wewenang yang berimplikasi pada penurunan anggaran kegiatan ini berpotensi menyebabkan demotivasi para pengelola KPH, sehingga fungsi KPH sulit tercapai dan masa depan pengelolaan hutan Indonesia di tingkat tapak dipertanyakan.

Co-Authors . Suciantini Abujamin Ahmad Nasir Adi Rakhman Agus Buono Agus R. Nugroho Ahmad Bey Ahmad Bey Ahmad Bey Akhmad Faqih Akhmad Faqih Akhmad Riqqi, Akhmad Amir Kedang Andria Anria Anggary Pasha Dewani Anita Silvia Apip Apip Apip Apip, Apip Arif Satria Arnida L. Latifah Baba Barus Bagus P. Purwanto Bambang Dwi Dasanto Bambang Juanda Bambang Pramudya Bambang Pramudya Bramasto Nugroho Divina Umanita Iliyyan Dodik Ridho Nurrochmat Dudung Darusman Edvin Aldrian Edvin Aldrian Edvin Aldrian Elza Surmaini Fithriya Yulisiasih Rohmawati Fitta Setiajiati Gamin Gamin Gamin Gamin, Gamin Gusti Hardiansyah H. Siregar Hasril Hasan Hein, Lars Hidayat Pawitan Impron Impron Indah Prasasti Indah Prasasti Indarto, Adi Misda Irlas Las Irsal Las Irsal Las Irsal Las Irsal Las Irsal Las Irsal Las Irwan Nasution Ismail Wahab Jacob Nulik Justika S. Baharsjah Kartodihardjo, Hariadi Lailan Syaufina Lala M Kolopaking Lukytawati Anggraeni Lutfi Rohman M. Mukhlis Meilantina, Mayang Meti Ekayani Misnawati Misnawati Misnawati, Misnawati Mugni Hadi Hariadi Mugni Hadi Hariadi Muhammad Ardiansyah Musyaffa, Muhammad Elfaza Faishal Ng. Gintings Nurrochmat, Dodik Nurul Jannah Park, Mi Sun Rafiuddin, Alwan Rahayu, Nur Hygiawati Rahmani, Tabah Arif Rilus Kinseng Rini Hidayati Rossita, Annuri S. Sutikno Sisi Febriyanti Muin Sjafrida Manuwoto Soepri, Wahyoe Subiyanto, Adi Sudirman Yahya Sulistiyanti Sulistiyanti Suryahadi (Suryahadi) Tania June Unggul Handoko Unggul Handoko, Unggul Upik Kesumawati Hadi W. Guntoro Werenfridus Taena Widya Ningrum Woro Estiningtyas Woro Estiningtyas Woro Estiningtyas Yenni Vetrita Yonny Koesmaryono Yuli Suharnoto Yulius Hero

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