Garuda - Garba Rujukan Digital

p-Index From 2019 - 2024

3.011

P-Index

This Author published in this journals

All Journal HAYATI Journal of Biosciences Jurnal Teknik ITS IPTEK Journal of Proceedings Series IPTEK The Journal for Technology and Science Geoid - Journal of Geodesy and Geomatics Forum Geografi Jurnal Geosaintek Journal of Applied Geospatial Information Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Jurnal Penginderaan Jauh Indonesia

Jaelani, Lalu Muhamad

Departemen Teknik Geomatika Institut Teknologi Sepuluh Nopember

Author-ID : 542647

Aerospace Engineering Agriculture, Biological Sciences & Forestry Civil Engineering, Building, Construction & Architecture Computer Science & IT Earth & Planetary Sciences Education Engineering Environmental Science Physics

Published : 47 Documents Claim Missing Document

Claim Missing Document

Articles

1 2 3 4 5

Estimasi Konsentrasi Klorofil-a menggunakan Refined Neural Network (Studi Kasus: Perairan Danau Kasumigaura) Aldila Syariz, Muhammad; Denaro, Lino Garda; Nabilah, Salwa; Heriza, Dewinta; Jaelani, Lalu Muhamad; Lin, Chao-Hung
Jurnal Penginderaan Jauh Indonesia Vol 1 No 1 (2019)
Publisher : Masyarakat Ahli Penginderaan Jauh Indonesia (MAPIN) /Indonesian Society of Remote Sensing (ISRS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (302.949 KB)

Estimation of Chlorophyll-a Concentration using Refined Neural Network (Case Study: Lake Kasumigaura) Chlorophyll-a has been became one of clinical in-water constituents to represent water quality. Many researchers have used neural network method to estimate chlorophyll-a concentration in the water body. However, a few number of water samples limits the use of neural network, meaning that those number is insufficient to train the neural network model and makes the result is not reliable. One of famous interpolation method, that is Inverse Distance Weighting (IDW), is utilized in this study to enrich water samples dataset over non-station points. The data from those non-station points would further be used to train the neural network model. After the training, the neural network method was refined by using the water samples over stations such that the accuracy in chlorophyll-a estimation was increased. MERIS images are used in this study. Based on statistical analysis, RMSE value before and after the refinement is decreased from 6,7872 mg m-3 to 6,5606 mg m-3.

VALIDASI ALGORITMA ESTIMASI KONSENTRASI CHL-A DENGAN MENGGUNAKAN CITRA SATELIT LANDSAT 8(Studi Kasus : Laut Selatan Pulau Lombok, NTB) Jaelani, Lalu Muhamad; Sulistyah, Umroh Dian; Winarso, Gathot
Geoid Vol 12, No 1 (2016)
Publisher : Department of Geomatics Engineering

Lombok southern sea has a high marine productivity which signifies fertility of a body water. Chl-a is one of the factors associated with fertility in the Lombok southern sea. Remote sensing can be used for mapping the distribution of Chl-a more efficient and accurate to extract the physical parameters of the water. Physical parameters accuracy is derived from remote sensing data depending on atmospheric correction algorithms and algorithms model to calculate the concentration of Chl-a.In this study, Landsat 8 was used to validate the existing estimation concentration algorithm of Chl-a by in-situ data collected in Lombok southern sea. Atmospheric corrected reflectance by 6SV and Flaash, as well as surface reflectance product from USGS were used as input of that algorithm. The algorithm with 6SV-reflectance produced highest accuracy with NMAE of 26.095%.Instead of using existing algorithm, a new algorithm following local characteristics of Lombok southern sea was developed. The developed algorithm based on log Rrs(λ4) and log (Rrs (λ5)) produced high correlation (R2 = 0.551). Chl-a concentration estimation from Landsat 8 data, through atmospheric correction of 6SV produced NMAEof 13.484%.

Analisis Pengaruh Tutupan Lahan terhadap Distribusi Suhu Permukaan: Kajian Urban Heat Island di Jakarta, Bandung dan Surabaya Muzaky, Handis; Jaelani, Lalu Muhamad
Jurnal Penginderaan Jauh Indonesia Vol 2 No 1 (2019)
Publisher : Masyarakat Ahli Penginderaan Jauh Indonesia (MAPIN) /Indonesian Society of Remote Sensing (ISRS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (496.779 KB)

In 2015, more than half of Indonesia's population lived in urban areas that caused the growth of impervious surface area. The impervious surface is high heat-absorbance. Thus, the air temperature in this area is higher compared to the surrounding area. This phenomenon is known as Urban Heat Island (UHI). To examine the impact of UHI, continuous temperature monitoring is needed. Temperature monitoring using weather stations has limitations in terms of coverage area, then remote sensing methods could be useful to obtain data with sufficient spatial distribution. This study examines UHI phenomena in three densest cities in Indonesia (Jakarta, Bandung, and Surabaya) using Landsat 8 OLI/TIRS imagery. Estimation of Land Surface Temperature (LST) using the Single Channel (SC) algorithm and land cover identification using three spectral indices: Vegetation Difference Index (NDVI), Modified Normalized Difference Water Index (MNDWI), and Visible Red Near Infrared Build-Up Index (VrNIR-BI). The average surface temperature in Jakarta, Bandung, and Surabaya were 35.21°C, 28.52°C, and 31.69°C respectively. The relationship between LST and land cover was analyzed using Pearson product-moment correlation. The correlation value between LST and NDVI in Jakarta, Bandung, and Surabaya were -0.49; -0,51; and -0.49 while between LST and VrNIR-BI were 0.49; 0.51; and 0.48.

Analysis of Land Cover Change of Lake Rawapening with Sentinel 1 - Synthetic Aperture Radar Data Jaelani, Lalu Muhamad; Putri, Rizky Annisa
IPTEK Journal of Proceedings Series No 6 (2017): The 3rd International Conference on Civil Engineering Research (ICCER) 2017
Publisher : Institut Teknologi Sepuluh Nopember

â€• Approximately 90% of freshwater on the earth surface is stored by lakes and reservoirs that provide benefits for human life such as for daily water needed, industry, agriculture, transportation, hydroelectric power and tourism. Most watersheds (DAS) and lakes in Indonesia have experienced the quality and quantity degradation caused by population growth, land conversion and erosion. Lake Rawapening in Central Java is one of fifteen Indonesian National Priority Lakes that should be seriously monitored and well managed. For routine monitoring of land cover change of the lake and its watershed, an optical remote sensing data that generally used was facing a problem related to cloud cover over the area of lake. In this research, we propose the utilization of Sentinel 1A, an active RADAR remote sensing data which can penetrate the cloud, thus more effective for observing land cover changes. The classification result of December 2016 data has strong relationship with field object (Kappa= 94.218%). All water objects were recognized as water, 94.595% of wetland were recognized as wetland (others as water), 91.379% of vegetation were recognized as vegetation (others as agriculture), 95.238% of agriculture were recognized as agriculture (others as urban) and 96.774% of urban were recognized as urban (others as wetland and agriculture). During May and December 2016, the landcover change was triggered by high precipitation in December and rapid-uncontrolled growth of water hyacinth in May. During May and December 2016, the landcover change was triggered by high precipitation in December and rapid-uncontrolled growth of water hyacinth in May.

IDENTIFIKASI FASE PERTUMBUHAN TANAMAN JAGUNG MENGGUNAKAN CITRA SAR SENTINEL-1A (STUDI KASUS: KECAMATAN GERUNG, LOMBOK BARAT, NTB) Wulandari, Baiq Arasya; Jaelani, Lalu Muhamad
Jurnal Penginderaan Jauh Indonesia Vol 2 No 1 (2019)
Publisher : Masyarakat Ahli Penginderaan Jauh Indonesia (MAPIN) /Indonesian Society of Remote Sensing (ISRS)

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

Accurate land resource information is needed to support agricultural management planning in Indonesia. Mapping regarding corn land needs to be performed because corn is one of the commodities that are highly required both for food and as a primary material for industry. Cornland mapping and identification is performed by monitoring its growth phase. By considering the area and spatial distribution of agricultural land, remote sensing becomes an efficient and accurate monitoring solution. In the tropical region, optical remote sensing is often obstructed by clouds; thus, a Synthetic Aperture Radar (SAR) sensor that has the ability to penetrate clouds and can operate in rainy weather conditions is required. For this reason,  time-series SAR Sentinel-1A radar image data recorded over Gerung District, West Lombok, in April 2018 to April 2019 were used for corn farms monitoring. The growth phase classification is carried out by the supervised classification method using the RGB: VV, VH, and cross-ratio of VV/VH composites. By analyzing the backscattering value (?°; backscatter), identification of corn stands, and the growth phase pattern of corn plants can be performed. The coefficient value of ?° of corn plant was known to be in the range of -14 to -23 dB for VH polarization and -8 to -14 dB for VV polarization with kappa accuracy of 67%.

Analysis of Air Traffic Density using GIS, Case Study: Jakarta-Surabaya Sekartadji, Ratih; Ahyudanari, Ervina; Jaelani, Lalu Muhamad
IPTEK Journal of Proceedings Series No 6 (2017): The 3rd International Conference on Civil Engineering Research (ICCER) 2017
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j23546026.y2017i6.3288

The growth of air transportation is encouraged by high demand to travel fast. Jakarta-Surabaya route is placed as the fourth busiest traffic in the world. This busy route still possible to increase, unless there is an alternative mode of transport to serve the demand of this route. Aircraft flies at a certain flight level that is influenced by the flight distance and the type of aircraft. Jakarta-Surabaya route is served by aircrafts with different types. This means that some flight levels between Jakarta and Surabaya are occupied by these serving aircrafts. On the other hand, at the same flight level, there will be some other planes for other routes. This research attempts to picture the density of the flight level of Jakarta-Surabaya route. The density value will be useful to predict the air quality and the available air space to add the flight frequencies. Data collection of Jakarta-Surabaya flights was aimed to identify the occupied flight level by this route. For other routes that may be crossed or in line with the Jakarta-Surabaya route, are derived from International Civil Aviation (ICAO) Charts. Incorporating the route volume resulting the traffic derivation from the charts and scheduled flight into the network attribute of GIS. Data histories of the flight density from ICAO Charts are used to predict the future density utilizing the GIS. The horizon year for this research is year 2030 where some airports will be improved into higher level airport groups, according to PM No. 69 year 2013.

Implementation of Geoportal for Cultural Heritage Preservation of Penanggungan and Trowulan Jaelani, Lalu Muhamad; Bachtiar, Jayed Ali
IPTEK Journal of Proceedings Series No 6 (2017): The 3rd International Conference on Civil Engineering Research (ICCER) 2017
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j23546026.y2017i6.3306

Cultural heritage is a cultural richness of the nation as a manifestation of human lifeâ€™s, thoughts and behaviors that are important for understanding the history as well as the science and culture of our ancestors. In East Java there are two cultural heritage areas have been selected by the government: Penanggungan (as of January 14, 2015) and Trowulan (as of December 30, 2013) as provincial and national cultural heritages, respectively. In this research, we built a geoportal data infrastructure for collecting, storing and visualizing the spatial distribution of cultural heritages in these two areas as one of the role in maintaining the preservation of cultural heritages. Based on our geoportal data, the location of cultural heritage located in the elevation ranged from 228 m- 1330 m (above sea level). The lowest cultural heritage was Situs Belahan and the highest one wasÂ Temple of Kama I. Trowulan Site has 75 artifact findings. This indicated that the Trowulan Site area was a residential area. While in Penanggungan site, the heritage was dominated by cultural object in the form of temple (about 32 object). It might be an indicator that Penanggungan site wasÂ a basis for ancient community worship rituals.

Estimasi Tinggi Gelombang Laut Menggunakan Citra Satelit Alos-Palsar, Studi Kasus Perairan Pulau Poteran, Sumenep Adlan Nadzir, Zulfikar; Jaelani, Lalu Muhamad; Sulaiman, Albertus
Jurnal Geosaintek Vol 2, No 3 (2016)
Publisher : Institut Teknologi Sepuluh Nopember

Energi gelombang air laut adalah salah satu jenis ocean renewable energy (ORE) yang menjadi salah satu potensi kemaritiman dari Indonesia. Energi tersebut mempunyai beberapa keunggulan bila dibandingkan dengan energi fosil (minyak dan gas bumi) dan menjadi salah satu jenis energi terbarukan yang banyak diteliti dan dikembangkan oleh peneliti dari seluruh dunia. Salah satu upaya memetakan potensi energi gelombang laut adalah dengan menghitung tinggi gelombang air laut tersebut menggunakan berbagai metode pengamatan, salah satunya adalah Synthetic Aperture Radar (SAR). SAR adalah salah satu jenis sensor penginderaan jauh yang sedang berkembang dimana dapat memonitor dan memetakan tinggi gelombang air laut secara cepat dan efektif. Dalam penelitian ini, sebuah citra SAR diolah untuk mendapatkan tinggi gelombang di perairan Pulau Poteran, Madura. Pengolahan data citra SAR dilakukan dengan menggunakan metode Fast Fourier Transform (FFT) dan Band-Pass Filetring setelah mengalami proses pengolahan awal dengan perangkat lunak Matlab. Data SAR yang digunakan adalah citra satelit ALOS-PALSAR bertanggal 12 Mei 2009 dan diakuisisi dalam mode Full-Polarimetry. Hasil pengolahan menunjukkan bahwa di perairan sekitar Pulau Poteran, Madura mempunyai panjang gelombang dominan sebesar 559,0170 dan 883,8835 m dan periode sebesar 56,579 dan Â 89,3609 sekon yang memenuhi syarat menjadi sebuah swell. Tinggi gelombang signifikan (H1/3) yang dihasilkan mencapai 3,713 meter dengan rerata dari semua indeks matriks (H1/2) sebesar 2,986 meter.

Analisis Sebaran Padatan Tersuspensi dan Transparansi Perairan Menggunakan Landsat 8 (Studi Kasus : Perairan Bintan, Kepulauan Riau) Irma'atus Sholihah; Lalu Muhamad Jaelani; Salam Tarigan
Jurnal Teknik ITS Vol 5, No 2 (2016)
Publisher : Direktorat Riset dan Pengabdian Masyarakat (DRPM), ITS

Perairan Bintan memiliki sumberdaya pesisir dan laut yang sangat potensial untuk wisata bahari dan kehidupan biota laut. Akan tetapi, adanya kegiatan manusia seperti penambangan, pembuangan limbah rumah tangga akan memberikan dampak negatif terhadap penurunan kualitas perairan dan sumber daya pesisir. Faktor utama yang mempengaruhi kualitas perairan pada badan air pada setiap bentang lahan adalah padatan tersuspensi dan transparansi. Analisis padatan tersuspensi dan transparansi menggunakan metode penginderaan jauh dengan didukung data in situ. Data in situ digunakan untuk melakukan validasi data estimasi citra menggunakan NMAE. Pada penelitian ini konsentrasi TSS yang dihasilkan memiliki rentang nilai antara 0-45 mg/l. Sedangkan sebaran nilai transparansinya memiliki rentang nilai antara 3-6 meter. Kondisi TSS dan transparansi tersebut masih berada pada batas yang ditentukan dalam Keputusan Menteri Negara Lingkungan Hidup No 51 Tahun 2004.

Analisis Sebaran Konsentrasi Suhu Permukaan Laut Dan pH Untuk Pembuatan Peta Lokasi Budidaya Kerapu Bebek Menggunakan Citra Satelit Landsat -8 (Studi Kasus: Teluk Lampung, Lampung) Fitriana Kartikasari; Lalu Muhamad Jaelani; Gathot Winarso
Jurnal Teknik ITS Vol 5, No 2 (2016)
Publisher : Direktorat Riset dan Pengabdian Masyarakat (DRPM), ITS

Suhu permukaan laut dan pH merupakan parameter kualitas air yang memiliki peranan sangat penting untuk kelangsungan budidaya ikan kerapu bebek karena dapat mempengaruhi metabolisme pertumbuhan ikan. Salah satu perairan di Indonesia yang memiliki potensi sebagai lokasi budidaya kerapu bebek adalah Teluk Lampung. Dijelaskan dalam Standart Nasional Indonesia (SNI) 6487.4:2011 tentang “Produksi Pembesaran Ikan Kerapu Bebek di Keramba Jaring Apung (KJA)”, suhu permukaan laut dan pH merupakan parameter yang mempengaruhi kualitas air laut. Dalam penelitian ini, metode yang digunakan untuk menentukan sebaran suhu permukaan laut adalah penginderaan jauh menggunakan citra satelit Landsat-8. Hal ini dikarenakan citra Landsat-8 dapat bekerja pada gelombang tampak (visible spectrum) dimana terdapat kanal– kanal yang dapat digunakan untuk mengekstrak konsentrasi suhu permukaan laut di perairan. Sebaran estimasi suhu permukaan laut di perairan Teluk Lampung ditentukan menggunakan algoritma Syariz [8], sedangkan sebaran konsentrasi pH ditentukan menggunakan metode interpolasi Inverse Distance Weighted (IDW). Kondisi suhu permukaan laut dan pH di perairan Teluk Lampung sudah cukup sesuai dengan batas nilai yang tercantum dalam SNI 6487.4:2011 untuk dijadikan sebagai lokasi budidaya kerapu bebek. Sebaran suhu permukaan laut menunjukkan dominasi nilai 26,05-30,05 ˚C dan pH menunjukkan dominasi nilai 7,000–13,99. Berdasarkan hasil intersect terhadap sebaran suhu permukaan laut dan pH di perairan Teluk Lampung, didapatkan wilayah perairan seluas 85.334,41 ha yang dapat digunakan sebagai lokasi budidaya kerapu bebek.

Co-Authors Adillah Alfatinah Adlan Nadzir, Zulfikar Agnes Rusnalia T. Agung Budi Cahyono Ahyudanari, Ervina Aji, Pujo Albertus Sulaiman Amalia Putri Rivani Andie Setiyoko Andika Yudha Gutama Andri A. Wibowo Ari Matiur Aries Sulisetyono Arik Yumna Pratiwi Aryasandah H. Dewantoro Bachtiar, Jayed Ali Bangun Muljo Sukojo Bangun Muljo Sukojo, Bangun Muljo Benedict Denaro, Lino Garda Diah Ardiani Eddy Setyo Koenhardono, Eddy Setyo erika yuniar tyastiti Faisal Adam Yudithia Feny Arafah Firmansyah Maulana Azhali Fitriana Kartikasari Fitriana Kartikasari Gathot Winarso Gathot Winarso Gathot Winarso, Gathot Gilang Amrullah Sayono Hepi Hapsari Handayani Hepi Hapsari Handayani Heriza, Dewinta Hidayat, Husnul Ilyas Ilyas Irma'atus Sholihah Jayed Ali Bachtiar Jayeng Rangga Bhirawa Kristina Putri Lena Sumargana Lin, Chao-Hung Loryena Ayu Karondia M. Nur Cahyadi Mangapul Parlindungan Tambunan Martanti Aji Pangestu Mochamad Indrawan Muhammad Aldila Syariz Muhammad Rizka Arief Pratama Muhammad Taufik Muhammad Wildan Bobsaid Muhsi Muhsi Muzaky, Handis Nabilah, Salwa Nia Kurniadin Niken rahayuningtyas Norida Maryantika Novi Ika Harliyanti Nur Aina Rizki Rahmadani Nurahida Laili Nurgiantoro, Nurgiantoro Oktavianto G. Pamungkas, Adjie Pratomo, Danar Guruh Putri, Rizky Annisa Resti Limehuwey Ricko Andrew FG. Rizha Fahlefi Romadina Indah Wardani Rossita Yuli Ratnaningsih Salam Tarigan Sekartadji, Ratih Sulaiman, Albertus Sulistyah, Umroh Dian Wulandari, Baiq Arasya Yennie Marini Zulfahmi Afifi

Title

Found 47 Documents
Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title Search

Found 47 Documents Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title

Found 47 Documents
Search