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Applicatin of Some Evapotranspiration Models at Tropical Region Suprayogi, Slamet; Setiawan, Budi Indra; Prasetyo, Lilik Budi
Jurnal Keteknikan Pertanian Vol 17, No 2 (2003): Buletin Keteknikan Pertanian
Publisher : PERTETA

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Abstract

Potential evaporation (ETp) can be calculated by ETp models climatological parametrs. Among them, the Penman model is most frequently used for ETp estimation. The penman model requires five climatic parameters : temperature, relative humidity, wind, saturation vapor pressure, and net radiation. It also uses complicated unit conversions and lengthy calculation. There are a simple models such as : Jensen - Haise models, Hargreaves, Radiation, Turcs, and Makkinks model. These models that requires only two climatic parameters, temperature and incident radiation.
ANALISIS TINGKAT KEBISINGAN EKIVALEN DESA CATURTUNGGAL KECAMATAN DEPOK DAN DESA KALITIRTO KECAMATAN BERBAH KABUPATEN SLEMAN DAERAH ISTIMEWA YOGYAKARTA Garjito, Dany; Suprayogi, Slamet
Jurnal Bumi Indonesia Volume 1, Nomor 3, Tahun 2012
Publisher : Fakultas Geografi UGM

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Abstract

Penelitian ini untuk mengetahui tingkat kebisingan di Desa Kalitirto danDesa Caturtunggal, persepsi penduduk, dan pengendalian kebisingan yang telahdilakukan. Tingkat kebisingan diukur dengan sound level meter. Pengukuranpersepsi penduduk dengan kuesioner, dan mengetahui upaya pengendalian dengansurvei.Penelitian ini menemukan bahwa tingkat kebisingan permukiman melebihibaku mutu lingkungan, yakni 55 dBA. Kebisingan permukiman mencapai 60 – 62dBA. Persentase total masyarakat yang terganggu sebesar 36,7 % dan yang tidakterganggu 13,3 % untuk Kalitirto. Persentase yang terganggu sebesar 30,4 % danyang tidak terganggu 19,6 % untuk Caturtunggal. Pengendalian kebisingan telahdiupayakan, pihak bandar udara menambah panjang landasan pacu, penduduktelah menanam pohon peredam, akasia, namun dengan melihat masih tingginyatingkat kebisingan menandakan bahwa upaya yang telah dilakukan harus lebihditingkatkan lagi.Kata Kunci : Tingkat kebisingan, persepsi penduduk, pengendalian kebisingan
RANCANGAN DIMENSI SUMUR RESAPAN UNTUK KONSERVASI AIRTANAH DI KOMPLEKS TAMBAKBAYAN, SLEMAN DIY Werdiningsih, Werdiningsih; Suprayogi, Slamet
Jurnal Bumi Indonesia Volume 1, Nomor 3, Tahun 2012
Publisher : Fakultas Geografi UGM

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Abstract

Penelitian ini bertujuan, (a) menghitung intensitas hujan periode ulang 5, 10, 20, dan 50 tahun, (b) menghitung dan menganalisis klasifikasi kelas atap, (c) menghitung dan menganalisis desain sumur resapan untuk masing-masing kelas atap. Penelitian dilakukan dengan pengukuran permeabilitas tanah (metode invers auger hole) berdasarkan kepadatan bangunan dan lereng, pengukuran kedalaman muka airtanah, cek digitasi lapangan dan penggunaan lahan, serta profil tanah. Analisis intensitas hujan menggunakan data stasiun Adisucipto selama 24 tahun dan IDF, serta durasi hujan dominan diperoleh dari data hujan otomatik stasiun Santan. Hasil analisis menunjukkan bahwa intensitas hujan rancangan untuk periode 5, 10, 20, dan 50 tahun adalah 46,2; 51,6; 56,4; dan 62,4 mm/jam. Ketelitian hasil digitasi atap bangunan sebesar 86% dan diperoleh 8 kelas klasifikasi kelas atap, yaitu 21-36, 37-40, 41-45, 46-54, 55-60, 61-70, 71-80, dan 81-100 m2. Hasil perhitungan menunjukkan bahwa semakin besar luas atap,483intensitas hujan, periode ulang, maka kedalaman sumur resapan akan semakin besarKata kunci: konservasi airtanah, luas atap, intensitas hujan, permeabilitas, sumur resapan
Aplikasi Model Artificial Neural Network Terintegrasi dengan Geographycal Information System untuk Evaluasi Kesesuaian Lahan Perkebunan Kakao ., Hermantoro; ., Rudiyanto; Suprayogi, Slamet
Jurnal Keteknikan Pertanian Vol 22, No 1 (2008): Jurnal Keteknikan Pertanian
Publisher : PERTETA

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Abstract

Land evaluation for specific purpose in plantation sector become very important due to increasing the competition in land use and the development of plantation sector. Land evaluation produces information of land economic values for specific land use. The objective of the research is to develop land evaluation method for cocoa estate using integrated model Artificial Neural Network (ANN) and Geographical Information System (GIS). Back propagation ANN model were used to predict cocoa yield base on land qualities parameter. The result shows that the best of ANN model to predict cocoa yield have 15 input layer, 15 hidden layer, and 1 output layer. with the determination coefficient (r2) of 0.99 and Root Mean Square Error (RMSE) of 93.83 in the training process, otherwise in the testing found the r2 of O. 76 and RMSE of 113.83. In verification stage the integrated model ofANN and GIS was used to evaluate land suitability of Wijayaarga Cocoa Plantation is seem accurate in predicting cocoa yield and easers to mapping the land suitability unit.  Keyword: ANN, GIS, Land Evaluation, Cocoa Diterima: 04 Juni 2007; Disetujui: 18 September 2007
Aplikasi Model Artificial Neural Network Terintegrasi dengan Geographycal Information System untuk Evaluasi Kesesuaian Lahan Perkebunan Kakao ., Hermantoro; ., Rudiyanto; Suprayogi, Slamet
Jurnal Keteknikan Pertanian Vol 22, No 1 (2008): Jurnal Keteknikan Pertanian
Publisher : PERTETA

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Abstract

Land evaluation for specific purpose in plantation sector become very important due to increasing the competition in land use and the development of plantation sector. Land evaluation produces information of land economic values for specific land use. The objective of the research is to develop land evaluation method for cocoa estate using integrated model Artificial Neural Network (ANN) and Geographical Information System (GIS). Back propagation ANN model were used to predict cocoa yield base on land qualities parameter. The result shows that the best of ANN model to predict cocoa yield have 15 input layer, 15 hidden layer, and 1 output layer. with the determination coefficient (r2) of 0.99 and Root Mean Square Error (RMSE) of 93.83 in the training process, otherwise in the testing found the r2 of O. 76 and RMSE of 113.83. In verification stage the integrated model ofANN and GIS was used to evaluate land suitability of Wijayaarga Cocoa Plantation is seem accurate in predicting cocoa yield and easers to mapping the land suitability unit.  Keyword: ANN, GIS, Land Evaluation, Cocoa Diterima: 04 Juni 2007; Disetujui: 18 September 2007
KONSERVASI MATA AIR BERBASIS MASYARAKAT DI UNIT FISIOGRAFI PEGUNUNGAN BATURAGUNG, LEDOK WONOSARI DAN PERBUKITAN KARST GUNUNG SEWU, KABUPATEN GUNUNGKIDUL Sudarmadji, Sudarmadji; Suprayogi, Slamet; Widyastuti, M.; Harini, Rika
Jurnal Teknosains Vol. 1 No. 1 tahun 2011
Publisher : Sekolah Pascasarjana UGM

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Abstract

Spring is as one of the water resources potential that can not be ignored. Gunungkidul district has three physiographic units: Baturagung Hills, Wonosari Basin and Gunung Sewu Karst Hills. All of them affect the distribution of springs in the Gunungkidul Regency. On the other hand, physiography will affect the community adaptation to the environment. It will contribute to the springs conservation effort. The purposes of this research are:  1) to identify the characteristics of springs, 2) to analyze the community participation in conserving  the springs as basic information to develop spring conservation models. To identify the socio-economic characteristics and the springs characteristics in the research areas use a survey method. Unit sampling and analysis is done purposively based on three zones: Baturagung Hills, Wonosari Basin and Gunung Sewu Karst Hills. Socio-economic survey was done by sampling on the 90 respondents, divided into 3 zones through direct interviews using quetionare. Quantitative descriptive analysis was performed through statistical tests. The results show that the quality of spring water in all physiographic zones meet to the water quality standard, except those for colli bacteria. The discharge of karst springs in the hills of Gunung Sewu greater than the discharge of the two other zones. The springs distribution is more in Wonosari Basin and Karst Hills of Gunung Sewu than Baturagung Hills. The level of the community participation in springs conservation is mostly done in groups through user spring groups. Generally, socio-economic factors affect to the level of participation in prevention of springs damage.
ESTIMASI EVAPOTRANSPIRASI POTENSIAL MENGGUNAKAN JARINGAN SYARAF TIRUAN Suprayogi, Slamet; Setiawan, Budi Indra; Suroso, Suroso Suroso
Majalah Geografi Indonesia Vol 18, No 1 (2004): Maret 2004
Publisher : Fakultas Geografi, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (342.549 KB) | DOI: 10.22146/mgi.13265

Abstract

ABSTRAK Berbagai model evapotranspirasi potensial (ETp) telah dikembangkan, mulai dart model-model yang sederhana sampai dengan model-model yang kompleks membutuhkan konversi-konversi dan perhitungan rumit. Model ETp Penman termasuk model yang kompleks membutuhkan parameter-parameter iklim yang cukup banyalcyaitu: suhu udara, kelembaban relatif(relative humidity), kecepatan angin, tekanan uap jenuh (saturation vapor pressure), dan radiasi netto. Proses perhitungannya membutuhkan waktu relatif lama, karena harus melakukan konversi-konversi. Perhitungan ETp dapat dilalcukan secara efisien yalan proses perhitungan cukup singkat dan hasilnya secara basil perhitungan model Penman yaitu dengan model Jaringan SyarafTiruan (Artificial Neural Network), model tersebut merupakan penjabaran fungsi otak manusia (human brain) dalam bentukfungsi matematik yang menjalankan proses perhitungan secara paralel.Tujuan penelitian ini adalah mengestimasi ETp menggunakan model Jaringan Syaraf Tiruan (JST) dengan penjalaran balik (backpropagation). Data yang digunakan adalah data parameter iklim stasiun Serang tahun 1999 sid tahun 2001. Parameter iklim yang digunakan analisis adalah suhu udara, kecepatan angin, kelembaban relatif (RH), dan lama penyinaran matahari. Proses pembelajaran model Jaringan syaraf tiruan penjalaran balik menggunakan input parameter iklim dan output ETp basil perhitungan model Penman. Data training dan test adalah ETp model Penman, parameter iklim tahun 1999, dan ETp, parameter iklim tahun 2000. Verifikasi digunakan ETp, parameter iklim tahun 2001, dengan indikator kesalahn Root Mean Squared Enos (RMSE) digunakan pula koefisien determinasi (R2).Hasil training dan test data menggunakan model jaringan syaraf tiruan penjalaran balik (backpropagation) menunjukkan bahwa data tahun 1999 dan 2000 merupakan data yang representatif dengan.nilai RMSE adalah 0,00056 dan R2 adalah 0,98, sehingga data tersebut dapat mewaldli data parameter iklim stasiun Serang. Verifilcasi dilakukan dengan cara membandingkan ETp harian tahun 2001 basil perhitungan model jaringan syaraf tiruan dengan ETp harian tahun 2001 basil perhitungan model Penman. Nilai RMSE ETp harian tahun 2001 model Jaringan syaraf tiruan dengan model Penman adalah 0,3262, sedangkan koefisien determinasi (R2) adalah 0,88. Nilai tersebut menunjukkan ETp model jaringan syaraf tiruan penjalaran balik (backpropagation) mempunyai nilai yang secara dengan ETp model Penman. Dengan demikian nilaipembobot (weight) basil pembelajaran model JST dapat digunakan untuk mengestimasi ETp stasiun Serang pada tahun-tahun berilannya maupun tahun-tahun yang lalu.
Distribution of Accuracy of TRMM Daily Rainfall in Makassar Strait Giarno, G; Hadi, Muhammad Pramono; Suprayogi, Slamet; Murti, Sigit Heru
Forum Geografi Vol 32, No 1 (2018): July 2018
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1175.045 KB) | DOI: 10.23917/forgeo.v32i1.5774

Abstract

This research aims to evaluate rainfall estimates of satellite products in regions that have high variations of rainfall pattern. The surrounding area of Makassar Strait have chosen because of its distinctive rainfall pattern between the eastern and western parts of the Makassar Strait. For this purpose, spatial distribution of Pearson’s coefficient correlation and Root Mean Square Error (RMSE) is used to evaluate accuracy of rainfall in the eastern part of Kalimantan Island and the western part of Sulawesi Island. Moreover, we also used the contingency table to complete the parameter accuracy of the TRMM rainfall estimates. The results show that the performance of TRMM rainfall estimates varies depending on space and time. Overall, the coefficient correlation between TRMM and rain observed from no correlation was -0.06 and 0.78 from strong correlation. The best correlation is on the eastern coast of South West Sulawesi located in line with the Java Sea. While, no variation in the correlation was related to flatland such as Kalimantan Island. On the other hand, in the mountain region, the correlation of TRMM rainfall estimates and observed rainfall tend to decrease. The RMSE distribution in this region depends on the accumulation of daily rainfall. RMSE tends to be high where there are higher fluctuations of fluctuating rainfall in a location. From contingency indicators, we found that the TRMM rainfall estimates were overestimate. Generally, the absence of rainfall during the dry season contributes to improving TRMM rainfall estimates by raising accuracy (ACC) in the contingency table.
Applicatin of Some Evapotranspiration Models at Tropical Region Suprayogi, Slamet; Setiawan, Budi Indra; Prasetyo, Lilik Budi
Jurnal Keteknikan Pertanian Vol 17, No 2 (2003): Buletin Keteknikan Pertanian
Publisher : PERTETA

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Potential evaporation (ETp) can be calculated by ETp models climatological parametrs. Among them, the Penman model is most frequently used for ETp estimation. The penman model requires five climatic parameters : temperature, relative humidity, wind, saturation vapor pressure, and net radiation. It also uses complicated unit conversions and lengthy calculation. There are a simple models such as : Jensen - Haise models, Hargreaves, Radiation, Turcs, and Makkinks model. These models that requires only two climatic parameters, temperature and incident radiation.
Estimation of Solar Radiation using Artificial Neural Network Suprayogi, Slamet
Forum Geografi Vol 18, No 1 (2004)
Publisher : Forum Geografi

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Abstract

The solar radiation is the most important fator affeccting evapotranspiration, the mechanism of transporting the vapor from the water surface has also a great effect. The main objectives of this study were to investigate the potential of using Artificial Neural Network (ANN) to predict solar radiation related to temperature. The three-layer backpropagation were developed, trained, and tested to forecast solar radiation for Ciriung sub Cachment. Result revealed that the ANN were able to well learn the events they were trained to recognize. Moreover, they were capable of effecctively generalize their training by predicting solar radiation for sets unseen cases.