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All Journal Indonesian Journal of Geography Indonesian Journal of Agricultural Science agriTECH Jurnal Ilmiah Rekayasa Pertanian dan Biosistem SAINS TANAH - Journal of Soil Science and Agroclimatology Jurnal Irigasi Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Jurnal Pengabdian dan Pengembangan Masyarakat Jurnal Litbang Kota Pekalongan
Bayu Dwi Apri Nugroho
Universitas Gadjah Mada
Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Earth & Planetary Sciences Education Engineering Environmental Science Languange, Linguistic, Communication & Media Library & Information Science Public Health

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Journal : Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering)

 1 
Dampak Perubahan Curah Hujan Terhadap Tingkat Kerentanan Erosi Tanah Di Sub DAS Merawu, Jawa Tengah Donnie Koes Nugraha; Bayu Dwi Apri Nugroho; Chandra Setyawan
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol 10, No 3 (2021): September
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtep-l.v10i3.356-366

Abstract

This research was held to estimate rainfall and change in soil erosion vulnerability from 2020 to 2050 in Merawu Sub-Watershed, Banjanegara District with RCP 2.6, 4.5 and 8.5. The RCP is an overview of the concentration trends for greenhouse gases, aerosols and land use change created by the climate modeling community. Rainfall prediction was generated from SDSM Software and combined with USLE to predict soil erosion in ArcGIS 10.4. Changes in rainfall intensity are an important factor in changes of soil erosion rates because the kinetic energy of falling rainwater can cause soil erosion.The results showed rainfall in Banjarnegara Station at 2020-2050 with RCP 2.6,4.5 and 8.5 were increasing by +0,26%; +0,60%; +0,52%, while in Kalisapi Station were decreasing by -1,54%; -1,65% dan -2,20%. The change of soil erosion vulnerability prediction showed that soil erosion in Sub-DAS Merawu at 2020-2050 with RCP 2.6,4.5 and 8.5 in very light category were -0,02%;-0,02%;-0,03%, light category were -0,17%;-0,17%;-0,17%, moderate category -0,05%;-0,05%;-0,04%, heavy category -0,26%;-0,35%;-0,37%, and very heavy category were +1,46%;+1,88%;+1,95%. While the average soil erosion prediction at RCP 2.6, 4.5 and 8.5 were +0,86, +1,19% and +1,03%, respectively.  Keywords: soil erosion prediction, rainfall prediction, SDSM Software, Sub-DAS Merawu
Effect of Extreem Rainfall Pattern on The Growth and Yield of Chili Peppers Wini Prayogi Abdila; Bayu Dwi Apri Nugroho; Chandra Setyawan
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol 11, No 1 (2022): March
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtep-l.v11i1.117-129

Abstract

The purpose of this study was to observe the effect of extreme rainfall patterns in the DI Yogyakarta region on the growths of rawit/cayenne (Capsicum frutescens L.) and keriting/curly (Capsicum annum) chili peppers. The experimental design used was Randomized Complete Block Design (RCBD) with single factor consisting of three levels namely: maximum frequency index (P1), rainfall intensity index (P2), and control treatment (K).  The frequency and intensity indexes (P1 and P2) of May-June-July from each weather station were used as the bases of rainfall simulations applied in watering the rawit and keriting chili pepper cultivations. Whilst, control (K) was the watering on the basis of optimum crop water requirement. The growth parameters observed included plant height, number of leaves, age of flowering, age of fruiting, age of first harvest, final weight of biomass, and yield. The data sets were analyzed by using one-way Analysis of Variance (ANOVA) at α=0.05 for each species. The results showed that the three levels of treatments did not significantly affect the growth and yield based on all parameters observed for both of the two species. So even the potted media were flooded, the water easily drained through the holed base of pots, making plant growth undisturbed. This finding suggested that planting chili peppers in pots or elevated media could mitigate the effect of extreme rainfalls.Keywords: Extreme Precipitation, Extreme Indices, Plant Growth, chili pepper
MODEL PREDIKSI LEVEL AIR DI LAHAN PERKEBUNAN KELAPA SAWIT DENGAN JARINGAN SARAF TIRUAN BERDASARKAN PENGUKURAN SENSOR RAIN GAUGE DAN ULTRASONIK Hasan Al Banna; Bayu Dwi Apri Nugroho
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol 10, No 1 (2021): Maret
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtep-l.v10i1.104-112

Abstract

Monitoring and regulating water levels in oil palm swamps has an essential role in providing sufficient water for crops and conserving the land to not easily or quickly deteriorate. Presently, water level is still manual and has weaknesses, one of which is the accuracy of the data taken depending on the observer. Technology such as sensors integrated with artificial neural network is expected to observe and regulate water levels. This study aims to build a prediction model of water levels in oil palm plantations with artificial neural networks based on the rain gauge and ultrasonic sensors installed on Automatic Weather Station (AWS). The obtained results showed that the prediction model runs well with an R2 value of 0,994 and RMSE 1,16 cm. The water level prediction model in this research then tested for accuracy to prove the model's success rate. Testing the water level prediction model's accuracy in the dry season obtained an R2 value of 0,96 and an RMSE of 1,99 cm. Testing the water level prediction model's accuracy in the rainy season obtained an R2 value of 0,85 and an RMSE value of 4,2 cm. Keywords : artificial neural network, automatic weather station, palm oil, water level
Rainfall Thresholds Analysis for Early Warning of Landslides in The Bompon Watershed Milya Aflah Ulul Albab; Bayu Dwi Apri Nugroho
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol 13, No 3 (2024): September 2024
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtep-l.v13i3.628-636

Abstract

The transitional zone between the central and southern morphologies of Java is characterized by steep slopes and thick soil. On the other hand, high rainfall in the area poses a potential threat of landslide hazards. This research is conducted in the Bompon Watershed, located in the transitional zone between Mount Sumbing and the Menoreh Mountains. This study aims to examine the rainfall dynamics leading to landslides in the Bompon Watershed using rainfall threshold analysis. Intensity and duration are selected as parameters to establish the rainfall threshold model. The research findings indicate that long-duration rainfall is the dominant cause of landslides in the Bompon Watershed. High-intensity rainfall can trigger landslides when lasting for more than one day. The established rainfall threshold equation in the Bompon Watershed is I = , where I is intensity and D is duration. The effects of long-duration rainfall include raising the groundwater level, thereby increasing the slope load. The presence of clay in the Bompon Watershed can hinder proper rainwater infiltration. Poorly infiltrated water adds to the slope load and induces slope instability. The calculated rainfall threshold can serve as the basis for early landslide warning systems. Keywords: Landslide, Rainfall threshold, Bompon watershed, Rrainfall intensity, Rainfall duration
Co-Authors Abi Prabowo Ardiansyah -- -- Badi’atun Nihayah Benito Heru Purwanto Benyamin Nahak Chandra Setyawan, Chandra Chusnul Arif Donnie Koes Nugraha Fadila Suryandika Hanggar Ganara Mawanda Hasan Al Banna Hertiyana Nur Annisa Maftukhah, Rizki Milya Aflah Ulul Albab Muchamad Wahyu Trinugroho Muhammad Khoiru Zaki Muhammad Rasyid Ridla Ranomahera Muhammad Wiji Nur Huda Huda Murtiningrum Murtiningrum Ngadisih Ngadisih Nur Aini Iswati Hasana Nuzul Hijri Darlan Prieskarinda Lestari Prima Diarini Riajaya Putu Sudira Reza Kusuma Nurrohman Sahid Susanto SIGIT SUPADMO ARIF Sri Nuryani Hidayah Utami Umi Hapsari Wini Prayogi Abdila