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PENGEMBANGAN INDEKS BAHAYA KEBAKARAN DI HTI SBAWI SUMATRA SELATAN Muh. Taufik; B.I. Setiawan; L.B. Prasetyo; N.H. Pandjaitan; Soewarso Soewarso
Jurnal Penelitian Hutan Tanaman Vol 8, No 4 (2011): JURNAL PENELITIAN HUTAN TANAMAN
Publisher : Pusat Penelitian dan Pengembangan Hutan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20886/jpht.2011.8.4.215-223

Abstract

Sistem peringkat bahaya kebakaran sangat penting pada kondisi pengelolaan hutan tanaman industri untuk mendeteksi potensi kebakaran. Keetch Byram Drought Index (KBDI) merupakan satuan indeks kebakaran yang dapat digunakan untuk menilai bahaya kebakaran hutan secara dini karena hanya memerlukan data curah hujan dan suhu udara maksimum harian saja. Makalah ini akan mengurai penggunaan KBDI untuk deteksi dini bahaya kebakaran hutan di SBA Wood Industries. Penelitian dilakukan di Ogan Komering Ilir, Sumatera Selatan dengan melakukan perbaikan terhadap nilai parameter KBDI agar sesuai dengan kondisi setempat. Metode yang digunakan adalah: (i) pengamatan terhadap curah hujan, suhu udara, dan kedalaman muka air tanah untuk periode 1 April 2009 sampai 11 Mei 2010 digunakan untuk penghitungan model KBDI pada lahan basah, (ii) proses optimisasi untuk memperoleh nilai parameter baru dalam perhitungan faktor kekeringan dan faktor muka air tanah. KBDI  yang dikembangkan memiliki kinerja yang baik dalam mendeteksi bahaya kebakaranhutanyaitukejadian kebakaran hanya terjadi pada level ekstrim. Hasil penelitian menunjukkan bahwa kedalaman muka air tanah kritis untuk mempertahankan KBDI pada level yang aman yaitu pada kedalaman 0,659 m, dan jika kedalaman melebihi nilai kritis tersebut maka potensi bahaya kebakaran di lokasi SBAWI akan meningkat.
Identifikasi Lokasi Potensial Panen Air Hujan Menggunakan Indeks Kesesuaian Embung dan Sistem Informasi Geografi di Provinsi Jawa Timur Indonesia: Identification of Locations for Potential Rainwater Harvesting Using the Conformity Index of Embankments and Geographic Information Systems in East Java Province, Indonesia I Putu Santikayasa; Mauludiyyatus Syarifah; Muh Taufik
Jurnal Teknik Sipil dan Lingkungan Vol. 6 No. 3: Desember 2021
Publisher : Departemen Teknik Sipil dan Lingkungan, IPB University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jsil.6.3.187-204

Abstract

Increasing population has an impact on increasing food supply to fulfil the requirement of the community. Increasing in food supply is able to be achieved by increasing the agricultural productive area. Low-water agricultural technology is one of technology can be applied in the development of agricultural areas with sufficient water availability. But on the other hand, water harvesting technology using pond is one approach in the development of agricultural land in dry areas. This study uses a geographic information system (GIS) approach to identify areas that have high potential for the development of water harvesting ponds in East Java Province, Indonesia. GIS approaches is used for spatial analysis in calculating the area potential index for the ponds deveopment based on climate, physical surface and vegetation indicators. This index is calculated based on indicators, each of which is obtained from the surface parameter data. The results of the study show that the East Java Province is categorized as the "very suitable" and "appropriate" areas on water harvesting ponds suitability by 55% and 23%, respectively. This results show that the potential of the East Java area for developing water harvesting pond is very high about 78% compared with the entire region. On the other hand, locations that is categorized as "not suitable" and "very inappropriate" are about 8.7% and 9.2% compared with total area of ​​East Java Province. Iit can be concluded that climate, physical surface and vegetation indicators are very important in determining the locations of water harvesting ponds development in East Java Province.
Pola Distribusi Spasial-Temporal Hotspot dan Variasi Standardized Precipitation Index pada Lahan Gambut Tropis di Kepulauan Meranti, Riau Maulana Dwi Putra Riyadi; Yudi Setiawan; Muh Taufik
Jurnal Ilmu Lingkungan Vol 20, No 3 (2022): July 2022
Publisher : School of Postgraduate Studies, Diponegoro Univer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jil.20.3.457-464

Abstract

Kebakaran hutan dan lahan yang terjadi setiap tahun di Indonesia sebagian besar berlokasi di lahan gambut. Bencana tersebut berdampak besar terhadap berbagai aspek kehidupan, salah satunya adalah terdegradasinya lahan gambut tropis. Pada tahun 2014, kebakaran hutan dan lahan di Kepulauan Meranti turut berkontribusi terhadap bencana kabut asap yang dirasakan hingga ke Singapura dan Malaysia. Pemerintah Indonesia melalui Badan Restorasi Gambut dan Mangrove (BRGM) telah berupaya melakukan restorasi ekosistem gambut. Pemantuan data hotspot dan curah hujan secara rutin dilakukan sebagai salah satu upaya mitigasi bencana kebakaran hutan dan lahan. Penelitian ini bertujuan untuk mengidentifikasi pola distribusi hotspot dan variasi Standardized Precipitation Index (SPI) serta mengetahui korelasinya terhadap kebakaran hutan dan lahan. Penelitian ini menggunakan data hotspot dari Moderate Resolution Imaging Spectroradiometer (MODIS) dan curah hujan dari Climate Vunerabilities Group InfraRed Precipitation with Station data (CHIRPS) selama 21 tahun yang dianalisis secara spasial-temporal dan koefisien korelasi Pearson. Sekitar 97.2% atau 7403 hotspot berada pada lahan gambut. Frekuensi hotspot tertinggi terjadi pada 2014, 2005, dan 2019. Distribusi hotspot bulanan mengikuti fluktuasi curah hujan dengan jumlah kejadian tertinggi terjadi pada Februari-Maret. Nilai SPI-1, SPI-3, SPI-4, SPI-6, SPI-12 tahun 2001-2021 bervariasi dari -3.5 hingga 3.0. Selama 21 tahun, Kepulauan Meranti telah mengalami musim basah dan kering yang ekstrim. Nilai SPI dan hotspot bervariasi mengikuti fenomena El Nino dan La Nina. Nilai SPI-1, SPI-3, SPI-4, SPI-6 berkorelasi kuat dengan data hotspot 2001-2021 dengan nilai r lebih dari 60%. Korelasi antara SPI dengan curah hujan mampu meprediksi puncak periode basah dan kering. Variabel hotspot dan SPI tidak dapat dipisahkan karena bisa menjadi salah satu faktor penting yang membantu proses perumusan arahan mitigasi dan adaptasi bencana kebakaran hutan dan lahan.ABSTRACTForest and land fires in Indonesia every year are mainly located on peatlands. The disaster had a significant impact on various aspects of life, one of which was the degradation of tropical peatlands. In 2014, forest and land fires in the Kepulauan Meranti contributed to the haze disaster that was felt as far as Singapore and Malaysia. Through the Peat and Mangrove Restoration Agency (BRGM), the Government of Indonesia has tried to restore the peat ecosystem. Monitoring of hotspot and rainfall data is routinely carried out as one of the efforts to mitigate forest and land fire disasters. This study aims to identify the distribution pattern of hotspots and Standardized Precipitation Index (SPI) variations and determine their correlation to forest and land fires. This study uses hotspot data from the Moderate Resolution Imaging Spectroradiometer (MODIS) and rainfall from Climate Vulnerabilities Group InfraRed Precipitation with Station data (CHIRPS) for 21 years which were analyzed spatially-temporal and Pearson correlation coefficient. Around 97.2% or 7403 hotspots are on peatlands. The highest frequency of hotspots occurred in 2014, 2005, and 2019. The monthly distribution of hotspots follows fluctuations in rainfall, with the highest number of occurrences occurring from February to March. The values of SPI-1, SPI-3, SPI-4, SPI-6, SPI-12 in 2001-2021 varied from -3.5 to 3.0. For 21 years, the Meranti Islands have experienced extreme wet and dry seasons. The value of SPI and hotspot varies according to El Nino and La Nina phenomena. The values of SPI-1, SPI-3, SPI-4, SPI-6 are strongly correlated with the 2001-2021 hotspot data with an r-value of more than 60%. The correlation between SPI and rainfall can predict the peak of the wet and dry periods. Hotspot and SPI variables cannot be separated because they can be important factors that help formulate directives for mitigation and adaptation to forest and land fire disasters.
Sifat Fisik Tanah dan Hubungannya dengan Kapasitas Infiltrasi DAS Tamiang Cut Azizah Jakfar; Hidayat Pawitan; Bambang Dwi Dasanto; Iwan Ridwansyah; Muh Taufik
Jurnal Tanah dan Iklim (Indonesian Soil and Climate Journal) Vol 43, No 2 (2019)
Publisher : Balai Besar Penelitian dan Pengembangan Sumberdaya Lahan Pertanian

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21082/jti.v43n2.2019.167-173

Abstract

Abstrak. Daerah Aliran Sungai (DAS) Tamiang merupakan wilayah rawan bencana dan digolongkan sebagai DAS kritis di Indonesia karena rawan banjir. Mitigasi banjir memerlukan analisis kuantifikasi limpasan yang diprediksi dari curah hujan dikurangi kapasitas infiltrasi. Penelitian ini bertujuan untuk mengetahui distribusi parameter fisik tanah dan hubungannya dengan kapasitas infiltrasi DAS Tamiang. Parameter fisik tanah yang dianalisis adalah tekstur tanah, berat jenis, kadar air, permeabilitas dan porositas. Hasil penelitian menunjukkan tekstur tanah didominasi clay sehingga Hydrologic Soil Grups (HSG) termasuk dalam kapasitas infiltrasi sedang, berat jenis tanah 0,9-1,5 g cm-3, nilai kadar air  pada musim kemarau 20-78 % (volume), nilai permeabilitas termasuk kategori sedang dan agak cepat (3-8 cm jam-1), dan nilai porositas 44-68%. Distribusi parameter fisik tanah menunjukkan kualitas yang kurang baik untuk kapasitas infiltrasi DAS Tamiang. Hasil penelitian dapat digunakan pada perencanaan pengelolaan sumberdaya air yang memerlukan data tanah untuk penelitian terkait. Abstract. The Tamiang River Basin is one of a disaster-prone and considered as a critical area in Indonesia due to vulnerability to flood. Flood mitigation requires an analysis of runoff quantification derived from the difference between rainfall and infiltration capacity. This study aimed to determine the distribution of soil physical parameters and their relationship to the infiltration capacity of the Tamiang watershed. Soil physical parameters analyzed were soil texture, bulk density, moisture content, permeability and porosity. The results showed the texture of the soil was predominantly clay so that the Hydrologic Soil Grups (HSG) was included in the medium infiltration capacity group, soil bulk density was 0.9-1.5 g cm-3, water content in the dry season was 20-78% (by volume), permeability belonged to medium and fairly fast categories (3-8 cm hour-1), and the porosity is was 44-68%. The distribution of soil physical parameters indicate somewhat poor infiltration capacity of the Tamiang watershed. The results of this study can be used in water resources management planning that requires soil data for related research
Baseflow Index Analysis for Bengawan Solo River, Indonesia Muh Taufik; Siti Annisa'
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.36.2.70-78

Abstract

Hydrological investigation for major Java rivers remains research challenge todays, particularly in identification of runoff characteristics situated in monsoonal climate. This study aims to investigate the value of baseflow index for Bengawan Solo river. We employed daily streamflow data for period 1980-2010 to derive baseflow index (BFI) based on the smoothed minima. We utilized different approaches comprising the non-overlapping 3 days (BFI3), 5 days (BFI5), and 7 days (BFI7) of streamflow to compute the index. We found the average BFI3, BFI5, and BFI7 for this study period are 0.67, 0.56, and 0.49, respectively. It revealed that higher number of non-overlapping days would produce lower BFI, which could be an indication of less baseflow contribution to total streamflow. Additionally, our findings show there is an increasing trend of BFI in the last decade that may be associated with decreasing forest cover in the catchment area. Furthermore, the BFI value will provide a valuable information for key leader in water sector in particular during dry season, and further research is needed to integrate this BFI into sustainable water management index.
Analisis Karakteristik Kekeringan DAS Kapuas Kalimantan Barat Berdasarkan Luaran Global Climate Model Andi Ihwan; Hidayat Pawitan; Rahmat Hidayat; Arnida Lailatul Latifah; Muh. Taufik
POSITRON Vol 9, No 2 (2019): November Edition
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam, Univetsitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1394.205 KB) | DOI: 10.26418/positron.v9i2.35072

Abstract

Daerah aliran sungai (DAS) Kapuas, walaupun berada di wilayah benua maritim Indonesia dengan curah hujan yang tinggi sepanjang tahun, namun sering mengalami kebakaran lahan dan hutan. Bencana kebakaran lahan dan hutan tersebut merupakan dampak dari kekeringan yang berkepanjangan. Informasi tentang karakteristik kekeringan di wilayah DAS Kapuas masih kurang diungkap terutama terkait dengan penggunaan data iklim global. Penelitian ini bertujuan untuk menganalisis karakteristik kekeringan meteorologis dan kekeringan hidrologis DAS Kapuas. Analisis kekeringan meteorologis digunakan pendekatan Standardize Precipitation Index (SPI) dan kekeringan hidrologis digunakan Standarized Runoff Index (SRI). Data curah hujan dan runoff dari Global Climate Model (GCM) yang telah di-downscaling menjadi 20 km x 20 km digunakan sebagai input data. Berdasarkan indeks kekeringan skala satu bulanan selama 30 tahun (1981-2010), diperoleh bahwa DAS Kapuas telah mengalami kekeringan meteorologis sebanyak 45 kali dan 48 kali kekeringan hidrologis dengan kategori moderat kering sampai dengan ekstrim kering. Luas wilayah yang mengalami kekeringan meteorologis maksimum terjadi pada tahun 1986 yakni 11,01% dari total wilayah DAS, kekeringan hidrologis maksimum terjadi pada tahun 1991 yakni 13,9% dari total wilayah DAS. Durasi kejadian kedua jenis kekeringan tersebut dominan berdurasi satu bulan. Luas wilayah kekeringan, tingkat keparahan, frekuensi, dan durasi kekeringan cenderung meningkat saat kejadian El-Niño. Hasil analisis karakteristik kekeringan menunjukkan bahwa data GCM dapat digunakan untuk analisis kekeringan di DAS Kapuas.
ANALYSIS OF METEOROLOGICAL DROUGHT PROPAGATION TOWARDS HYDROLOGICAL DROUGHT IN THE UPPER BRANTAS WATERSHED, EAST JAVA Samba Wirahma; I Putu Santikayasa; Muh Taufik; Findy Renggono
Jurnal Sains & Teknologi Modifikasi Cuaca Vol. 23 No. 2 (2022): December 2022
Publisher : BPPT

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55981/jstmc.v23i2.5406

Abstract

Abstract Drought is defined as a water deficit condition from normal conditions in the hydrological system. Hydrological drought is a complex process that is preceded by a rainfall deficit. Unlike many other natural disasters, droughts develop slowly, making it difficult to pinpoint the beginning and end of a drought event. Research that focuses on studying the propagation of meteorological drought to hydrological drought is fundamental to revealing the processes and mechanisms of drought propagation. Drought propagation describes the change of meteorological drought signal into hydrological drought through the hydrological cycle. This study aims to analyze the characteristics of drought and evaluate the propagation of drought in the Upper Brantas watershed of East Java. This study uses the Standardized Precipitation Index (SPI) and Standardized Streamflow Index (SSI) methods with an accumulated time of 1, 3, 6, and 12 months to analyze meteorological and hydrological drought characteristics, while the drought propagation was analyzed using Pearson correlation. The results showed that the duration and severity of drought increased with the increase in the period of accumulation of SPI and SSI, while the number of drought events was inversely proportional to the period of accumulation of SPI and SSI. The severity of hydrological drought is higher than the severity of meteorological. The worst hydrological drought (SSI1 = -22.9) with a duration of 12 months occurred in 1997-1998. The high correlation in the condition that there is no time lapse between SSI and SPI shows that the meteorological drought indicator with SPI has the potential to be used as an early detection tool for hydrological drought in the Upper Brantas watershed. This research can be the first step to developing a hydrological drought early detection technique that is very useful in water resource management in watersheds for hydropower operations.
PREDIKSI DEBIT JANGKA PANJANG UNTUK SUNGAI BENGAWAN SOLO Marliana Tri Widyastuti; Muh Taufik; I Putu Santikayasa
Jurnal Geografi : Media Informasi Pengembangan dan Profesi Kegeografian Vol 15, No 2 (2018)
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jg.v15i2.15387

Abstract

Sungai Bengawan Solo merupakan sungai terpanjang di Pulau Jawa dimana daerah alirannya telah diklasifikasikan sebagai salah satu Daerah Aliran Sungai (DAS) kritis di Indonesia. Penelitian ini mencoba memprediksi debit jangka panjang Sungai Bengawan Solo, dengan tujuan khusus untuk (i) melakukan kalibrasi dan validasi model Soil and Water Assessment Tool (SWAT) dalam mengestimasi debit skala bulanan, dan (ii) mensimulasikan debit bulanan untuk periode 1901 – 2016. Penelitian ini, model SWAT menggunakan input data iklim bulanan, penggunaan lahan, dan karakteristik tanah. Berdasarkan hasil evaluasi, secara statistik model mampu mensimulasikan debit bulanan dengan baik ditunjukkan dengan nilai yang rendah dari percent bias (PBIAS: -2.30%) dan RMSE standard ratio (RSR: 0.44), dan nilai Kling-Gupta Efficiency yang tinggi (KGE: 0.87). Berdasarkan debit hasil simulasi, kami menemukan bahwa debit maksimum terjadi pada bulan Maret, sedangkan debit minimum terjadi pada bulan Agustus. Karakteristik debit bulanan Sungai Bengawan Solo untuk aliran tinggi (Q5) sebesar 198.00 mm/bulan, sedangkan aliran rendah (Q90) sebesar 13.00 mm/bulan. Informasi tentang karakteristik hidrologi sungai sangat penting untuk pengelolaan DAS terpadu, terutama untuk mengantisipasi iklim yang sering berubah.