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All Journal HAYATI Journal of Biosciences Indonesian Journal of Geography Jurnal Teknik ITS IPTEK Journal of Proceedings Series IPTEK The Journal for Technology and Science Forum Geografi Jurnal Geosaintek Journal of Applied Geospatial Information Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Jurnal Penginderaan Jauh Indonesia Jurnal Ners Jurnal Ilmiah Geomatika SEWAGATI: Jurnal Pengabdian Kepada Masyarakat Jurnal Geosaintek Jurnal Penginderaan Jauh Indonesia Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Geoid - Journal of Geodesy and Geomatics
Jaelani, Lalu Muhamad
Departemen Teknik Geomatika Institut Teknologi Sepuluh Nopember
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STUDY OF CORAL BLEACHING MAPPING USING HIGH RESOLUTION IMAGES (A case study: The Water Area of PLTU Paiton Probolinggo) Jaelani, Lalu Muhamad; Afifi , Zulfahmi
GEOID Vol. 11 No. 2 (2016)
Publisher : Departemen Teknik Geomatika ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/geoid.v11i2.1496

Abstract

The rising temperature of Andaman Sea in May 2010 causing many Indonesia’s waters experienced 4°C temperature rise. This phenomena triggers coral bleaching in many Indonesia’s coastal area, one of them is Probolinggo beach. Probolinggo beach is a beach with very fascinating coral reefs, one of them is located near Paiton Power Plant area. Paiton plant unit is a power plant that is owned by PT. PJB which used to supply almost three of fourth part of the electricity in Java and Bali. PLTU Paiton is established at the seaside of Probolinggo beach, which has a coolant circulation system located adjacent to the sea. Coral bleaching mapping with remote sensing method with in situ data was used to detect the extent of areas experiencing coral bleaching. WorldView-2 Satellite Imagery was used with the processing performed on the blue bands and green bands which has the depth of water penetration. Water column correction is done to eliminate the effect of depth. Supervision classification is performed to get the alleged spot of coral bleaching. Classification results showed that the total area of the bleached corals from the five-point field observations with area of each point is 100m^2 is ± 726 m^2.The coral bleaching phenomenon in Paiton’s Power Plant coastal waters is caused by two main factors, the former is the rise of sea surface temperatures and the latter is the activity of Paiton itself. Dredging activities for the construction of new generating units and water discharge processing activities plant added the negative effect for the bleaching, aside from rising sea surface temperatures of ± 4° C.
COMPARISON OF C2WP BOUREAL LAKES PROCESSOR AND REGIONAL WATER PROCESSOR ALGORITHM ON EXTRACTING ESTIMATED TOTAL SUSPENDED SOLID DATA OF LAKE SENTANI Jaelani, Lalu Muhamad; Syariz, M. Aldila
GEOID Vol. 11 No. 2 (2016)
Publisher : Departemen Teknik Geomatika ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/geoid.v11i2.1499

Abstract

Lake Sentani is one of fifteen Indonesian National Priority Lakes. In the Jurnal Biologi Papua, Surbakti (2011) said that Lake Sentani is an euthropic lake. MEdium Resolution Imaging Spectrometer (MERIS) is one of a few sensors at Envisat Satellite which is used to monitor water-quality conditions. At BEAM VISAT, MERIS image can be processed using 3 algorithms to extract water-quality. Those algorithms are Case-2 Water Processor (C2WP) Euthropic Lakes, Case-2 Water Processor (C2WP) Boureal Lakes, and Regional Water Processor Water Processor (WP). In this research, we compared the performance of C2WP Boureal and Regional WP on extracting Total Suspended Solid (TSS) data. Extracting TSS data using C2WP Euthropic were used as data validation because Lake Sentani was an euthropic lake.
STUDY OF SEA LEVEL RISE USING SATELLITE ALTIMETRY DATA (A case study: Sea Of Semarang) Cahyadi, M. Nur; Jaelani, Lalu Muhamad; Dewantoro, Aryasandah H.
GEOID Vol. 11 No. 2 (2016)
Publisher : Departemen Teknik Geomatika ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/geoid.v11i2.1501

Abstract

Sea level rise was one thing that can threaten human life, especially those living coastal region. Not only the coastal areas threatened by sea level rise but small islands outermost region of Indonesia also threatened by sea level rise and almost lost due to sea level continued to rise from year to year. On the island of Java in particular, there are several cities that are experiencing serious problems of sea level rise call Jakarta, Semarang, Pekalongan, Tuban and Surabaya. Sea level rise that occurred in cities is caused by rising global temperatures resulting in melting glaciers and ice there dikutub, consequently the volume of water in the sea increased dramatically and lead to sea level rise. It is also exacerbated by the rate of decline in soil is very high, namely the city of Semarang, the rate of decline in soil between 8-13 cm / year. So it is very threatening to the survival of people living in coastal areas, therefore the observation of sea level rise should continue to be observed annually. One of the emerging technologies and widely used for observing the sea level rise that satellite altimetry. In this study used satellite altimetry Jason-1 to observe the rate of sea level rise in the region Semarang in 2009 to 2011 to obtain prediction with mathematical methods to determine the annual rate for the next year. On this study, large sea level rise semarang is 12.83 mm / year.
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 : Departemen Teknik Geomatika ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/geoid.v12i1.1510

Abstract

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( 4) and log (Rrs ( 5)) produced high  correlation (R2 = 0.551). Chl-a concentration estimation from Landsat 8 data, through atmospheric correction of 6SV produced NMAEof 13.484%.
ANALISIS KUALITAS AIR LAUT UNTUK PENENTUAN LOKASI BUDIDAYA KERAPU BEBEK MENGGUNAKAN CITRA SATELIT LANDSAT-8 (Studi Kasus : Teluk Lampung, Lampung) Jaelani, Lalu Muhamad; Kartikasari, Fitriana; Winarso, Gathot
GEOID Vol. 12 No. 1 (2016)
Publisher : Departemen Teknik Geomatika ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/geoid.v12i1.1524

Abstract

Cromileptes Altivelis is one kind of exported fish commodities which are common in some areas of Indonesia. It cultured using Keramba Jaring Apung (KJA). Lampung Bay is one of the waters area that have potential as a location for the cultivation of those fishs. Determination of location for Cromileptes Altivelis aquaculture activities has strongly influenced by the quality of water because it affects the metabolism of fish growth. Described in the Standar Nasional Indonesia (SNI) 6487.4:2011 on Enlargement Production Cromileptes Altivelis in Keramba Jaring Apung (KJA) where the salinity, sea surface temperature, and pH are the important parameters that can affect the quality of sea water. In this research, the method that used to determine the location of CromileptesAltivelis aquaculture was remote sensing using Landsat-8 satellite imagery. This was because the Landsat-8 could work at visible wave (visible spectrum) where there are channels that can be used to extract quality parameters of ocean water. In determining the concentration of sea water quality parameters, this research used Son, et al algorithm and Syariz, et al algorithm to determine the value of salinity and sea surface temperature.Condition of water quality parameters in the Bay of Lampung was quite in accordance with the limit values listed in SNI 6487.4:2011 to be location of CromileptesAltivelis. Dominance value of sea surface temperature distribution was 26.05-30.05 C, dominance value of salinity distribution was 31.40-39.25 psu, and dominance value of pH distribution was 7.00–13.99. Based on the analysis of sea water quality parameters in Lampung Bay, territorial waters obtained 85.171,76 ha area corresponding to the location of Cromileptes Altivelis aquaculture.
VALIDASI REFLEKTAN PERMUKAAN HASIL DARI KOREKSI ATMOSFER METODE SEN2COR MENGGUNAKAN DATA IN SITU (STUDI KASUS: DANAU KASUMIGAURA, JEPANG) Jaelani, Lalu Muhamad; Wardani , Romadina Indah
GEOID Vol. 14 No. 2 (2019)
Publisher : Departemen Teknik Geomatika ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/geoid.v14i2.1601

Abstract

Salah satu manfaat penginderaan jauh adalah pemantauan Suspended Solid (SS) sebagai parameter kualitas air. Nilai estimasi SS umumnya tergantung pada keakuratan koreksi atmosfer dan model yang menghubungkan antara reflektan dengan parameter kualitas air yang akan diekstrak. Organisasi ESA (European Space Agency) mengeluarkan metode koreksi atmosfer Sen2Cor untuk citra satelit Sentinel-2. Dalam penelitian ini dilakukan validasi reflektan permukaan hasil koreksi atmosfer Sen2Cor dan hasil estimasi SS menggunakan data in situ yang diambil di Danau Kasumigaura, Jepang yang digunakan diambil pada tanggal 27 Oktober 2016 dan 29 November 2016. Validasi menggunakan metode uji koefisien determinasi (R2), RMSE dan NMAE. Hasil dari validasi reflektan permukaan terhadap data in situ untuk uji R2, RMSE dan NMAE masing-masing sebesar 0,737; 0,004; dan 114,087%. Berdasarkan nilai tersebut, reflektan permukaan dianggap tidak akurat untuk digunakan dalam perhitungan ekstraksi parameter kualitas air, dikarenakan syarat nilai NMAE untuk melakukan ektraksi parameter kualitas air adalah <=30%. Sedangkan, validasi estimasi SS terhadap data in situ untuk uji R2, RMSE dan NMAE masing-masing menghasilkan nilai sebesar 0,153; 5,665; dan 24,965%. Meskipun nilai NMAE memenuhi syarat, namun untuk nilai R2 dan RMSE menghasilkan nilai yang tidak akurat. Maka, hal ini membuktikan bahwa akurasi nilai reflektan permukaan sangat mempengaruhi hasil estimasi SS.
UJI AKURASI PRODUK REFLEKTAN PERMUKAAN LANDSAT-8 BESERTA PENGARUHNYA TERHADAP PENENTUAN KONSENTRASI SUSPENDED SOLID (STUDI KASUS:DANAU KASUMIGAURA, JEPANG) Jaelani, Lalu Muhamad; tyastiti , erika yuniar
GEOID Vol. 15 No. 1 (2019)
Publisher : Departemen Teknik Geomatika ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/geoid.v15i1.1632

Abstract

Koreksi atmosfer merupakan proses yang sangat penting karena efek atmosfer mampu mempengaruhi gelombang elektromagnetik dari matahari ke objek dan dari objek ke sensor yang menyebabkan terjadinya kesalahan pada data citra. Salah satu metode koreksi atmosfer yang sering digunakan adalah metode 6SV (Second Simulation of the Sensor Signal in the Solar Spectrum-Vector). Landsat-8 adalah citra satelit yang sering dimanfaatkan karena kemudahan perolehan data yang gratis. Pada tahun 2014, USGS mengeluarkan produk level tinggi untuk surface reflectance (Reflectance-BOA). Dengan keluarnya produk ini, maka kendala koreksi atmosfer yang harus dilakukan menjadi berkurang. Namun, belum diketahui seberapa besar tingkat akurasi dari produk ini. Pada penelitian ini akan dilakukan uji akurasi dari produk Landsat-8 surface reflectance menggunakan data in-situ Remote sensing reflectance (Rrs ( )) dan Suspended Solid (SS) yang direkam secara langsung di 5 (lima) stasiun sepanjang Danau Kasumigaura, Jepang. Sebagai perbandingan, data tersebut akan dibandingkan dengan data Landsat-8 yang dikoreksi dari efek atmosfer menggunakan parameter koreksi dari hasil simulasi menggunakan metode 6SV. Dari hasil penelitian ini, menunjukkan bahwa nilai Rrs ( )-6SV dan Rrs ( )-L memiliki nilai yang lebih tinggi dari Rrs ( )-insitu di sepuluh stasiun. Sedangkan untuk korelasinya (R2) Rrs ( )-L memiliki korelasi lebih tinggi yaitu sebesar 0,926 dibandingkan dengan Rrs ( )-6SV yang hanya 0,123. Besarnya NMAE serta RMSE yang dihasilkan Rrs ( )-6SV dan Rrs ( )-L ini secara berturut-turut adalah 140,262%; 0,012 dan 140,061%; 0,008.
ANALISIS POTENSI WILAYAH TANAH LONGSOR DI KAWASAN LERENG GUNUNG WILIS DENGAN MENGGUNAKAN DATA DEM TERRASAR-X Jaelani, Lalu Muhamad; Fahlefi , Rizha
GEOID Vol. 15 No. 1 (2019)
Publisher : Departemen Teknik Geomatika ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/geoid.v15i1.1633

Abstract

Tanah longsor seringkali terjadi ketika musim penghujan dengan tingkat curah hujan tinggi yang umumnya terjadi pada kelerengan tanah cukup curam. Air juga merupakan faktor penting yang dapat mempengaruhi terjadinya longsor. Pada bulan April 2017 lalu, terjadi peristiwa longsor di beberapa lokasi kawasan lereng gunung Wilis. Adanya peristiwa longsor tinggi dan terjadi dalam waktu bersamaan di lereng gunung Wilis, untuk itu perlu dilakukan penelitian potensi tanah longsor dengan menggunakan data DEM TERRASAR-X yang memiliki resolusi tinggi dalam menghasilkan data ketinggian tanah. Dengan menggabungkan faktor lain seperti data tutupan lahan, jenis geologi, dan jumlah curah hujan akan didapatkan informasi tingkat potensi tanah longsor di lereng gunung Wilis. Metode pengolahan dengan mempertimbangkan skor setiap kelas parameter dan pembobotan sebesar 20% tutupan lahan, 20% curah hujan, 30% jenis geologi, serta 30% kelerengan tanah akan didapatkan informasi potensi longsor dengan rentang 0,8-1,375 dikategorikan rendah, 1,375-1,95 kategori menengah, 1,95-2,525 untuk kategori tinggi dan rentang 2,525-3,1 untuk kategori sangat tinggi. Potensi longsor akan dibandingkan dengan data rekam kejadian tanah longsor di lapangan dalam rentang waktu 2-5 tahun terakhir sebelum 2017. Hasil perbandingan sebagian besar menunjukkan adanya kesesuaian terkait wilayah yang berpotensi tinggi terhadap longsor dengan peristiwa yang terjadi di lapangan.
Perbandingan Metode Koreksi Atmosfer Dark Spectrum Fitting Dan Exponential Extrapolation Untuk Citra Satelit Landsat 8 Jaelani, Lalu Muhamad; Sayono , Gilang Amrullah
GEOID Vol. 17 No. 1 (2021)
Publisher : Departemen Teknik Geomatika ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/geoid.v17i1.1704

Abstract

Pemanfaatan citra satelit dalam penelitian penginderaan jauh semakin banyak dilakukan. Hal tersebut didukung oleh ketersediaan data yang berlimpah dengan cakupan spasial, spektral, dan temporal, serta kemudahan akses untuk mendapatkannya. Data citra satelit perlu melewati proses koreksi atmosfer agar dapat digunakan untuk identifikasi objek di permukaan bumi berdasarkan informasi spektralnya. Koreksi atmosfer dilakukan untuk menghilangkan pengaruh atmosfer pada data penginderaan jauh yang direkam oleh sensor. Permasalahan terkait pengaruh atmosfer tersebut lebih sering ditemukan pada perairan keruh. Kondisi perairan keruh ini banyak ditemukan pada danau, sungai, dan wilayah pesisir pantai. Oleh karena itu, penelitian dilakukan di Danau Matano dan Towuti, Danau Kasumigaura, dan perairan Pulau Poteran. Penelitian ini membandingkan dua metode koreksi atmosfer yaitu Exponential Extrapolation (EXP) dan Dark Spectrum Fitting (DSF). Data citra satelit yang digunakan adalah citra satelit Landsat 8. Hasil dari olahan kedua metode akan dibandingkan dengan data in situ berupa reflektan permukaan dan konsentrasi klorofil-a. Uji korelasi digunakan untuk mengetahui tingkat keeratan kedua metode tersebut. Hasil penelitian ini menunjukkan bahwa metode DSF memiliki hasil yang lebih baik dengan diperoleh hasil korelasi reflektan permukaan dengan nilai 0,905 untuk Danau Matano Towuti, 0,916 untuk Perairan Pulau Poteran, dan 0,973 untuk Danau Kasumigaura. Sedangkan untuk metode EXP dihasilkan nilai korelasi sebesar 0,905 untuk danau Matano Towuti, tidak terdefinisi untuk Perairan Pulau Poteran, dan 0,975 untuk Danau Kasumigaura. Hasil dari reflektan permukaan akan mempengaruhi nilai estimasi persebaran klorofil-a. Pengaruh ini dapat dilihat dari hasil perolehan hasil NMAE. Untuk metode DSF nilai NMAE berturut-turut sebesar 259,955%, 93,258%, dan 40,326%. Sedangkan untuk metode EXP berturut-turut sebesar 259,955%, tidak terdefinisi, dan 36,500%.
Monitoring of Lake Water Quality Through Streamlit Web Application (Case Study: Lake Matano And Lake Towuti, South Sulawesi) Jaelani, Lalu Muhamad; Pangestu, Martanti Aji
GEOID Vol. 18 No. 2 (2023)
Publisher : Departemen Teknik Geomatika ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/geoid.v18i2.1779

Abstract

The Indonesian government, through the National Medium Term Development Plan (RPJMN) 2015-2019, stated that water reservation, including the function of lakes, is one of the priorities. Lakes are not only functioned to maintain the ecological balance but also to provide water, protein, mineral, energy sources, and even tourism to support the community's economic growth. Lake Matano and Lake Towuti are designated as Nature Tourism Park areas. However, the lakes' environment is starting to be damaged. The damages exist in areas such as water-absorbent areas, lake borders, and lake waters. In addition, these damages increase the disaster risk. Therefore, to maintain the lake's sustainability, it is necessary to conduct research on the parameters of the condition of the fertility level of the lake waters. One of the parameters of the fertility level of the waters is chlorophyll-a. In the previous studies, observations of chlorophyll-a in Lake Matano and Lake Towuti have been carried out using Landsat-8. However, with these observations, a chlorophyll-a had not properly been monitored by using an application through web-based satellite imagery using web applications using the primary python programming language. The data for processing chlorophyll-a itself are obtained through the geemap library. Chlorophyll-a itself was processed using the existing algorithm. The current web application displays several features, namely the web application information and the results of the chlorophyll-a map. The results of the estimated value of chlorophyll-a range from 0 - 0.6 mg/m3. The minimum value of chlorophyll-a was found in 2014 which was 0.4 mg/m3, while the highest value of chlorophyll-a was found at 0.6 mg/m3 in 2016. The results of this chlorophyll-a analysis was categorized into oligotrophic waters with low fertility.
Co-Authors Abdul Rasam, Abdul Rauf Adillah Alfatinah Afifi , Zulfahmi Agnes Rusnalia T. Agung Budi Cahyono Ahyudanari, Ervina Aji, Pujo Albertus Sulaiman Albertus Sulaiman, Albertus Alina, Aldea Noor Amalia Putri Rivani Andie Setiyoko Andika Yudha Gutama Andri A. Wibowo Ari Matiur Aries Sulisetyono Arik Yumna Pratiwi Aryasandah H. Dewantoro Aryasandah H. Dewantoro, Aryasandah H. Azmi, Rahajeng Aulia Bachtiar, Jayed Ali Bangun Muljo Sukojo Bangun Muljo Sukojo, Bangun Muljo Benedict Budi Prasetyo Denaro, Lino Garda Denaro, Lino Garda Diah Ardiani Eddy Setyo Koenhardono, Eddy Setyo erika yuniar tyastiti Fahlefi , Rizha Faisal Adam Yudithia Faradila, Naura Annisa Feny Arafah Filsa Bioresita, Filsa Firmansyah Maulana Azhali Fitriana Kartikasari Fitriana Kartikasari Fultriasantri, Indah Gathot Winarso Gathot Winarso Gathot Winarso, Gathot Gilang Amrullah Sayono Gutama, Andika Yudha Hanansyah, Megivareza Putri Harliyanti, Novi Ika Heni Agustina Hepi Hapsari Handayani Hepi Hapsari Handayani Hepi Hapsari Handayani, Hepi Hapsari Heriza, Dewinta Heriza, Dewinta Hidayat, Arfico Rizky Hidayat, Husnul Husnul Hidayat, Husnul Ilyas Ilyas Irma&#039;atus Sholihah Jayed Ali Bachtiar Jayeng Rangga Bhirawa Kristina Putri Laili, Nurahida Lena Sumargana Lena Sumargana Lin, Chao-Hung Lin, Chao-Hung Loryena Ayu Karondia, Loryena Ayu M. Aldila Syariz, M. Aldila M. Nur Cahyadi M. Nur Cahyadi, M. Nur Martanti Aji Pangestu Mochamad Indrawan Muhammad Aldila Syariz Muhammad Hanif Muhammad Rizka Arief Pratama Muhammad Rizka Arief Pratama, Muhammad Rizka Arief Muhammad Taufik Muhammad Wildan Bobsaid Muhsi Muzaky, Handis Nabilah, Salwa Nabilaha, Salwa Nadzir, Zulfikar Adlan Nia Kurniadin Niken rahayuningtyas Noorlaila Hayati, Noorlaila Norida Maryantika Novi Ika Harliyanti Nur Aina Rizki Rahmadani Nurahida Laili Nurgiantoro, Nurgiantoro Oktavianto G. Pamungkas, Adjie Pangestu, Martanti Aji Pratama, Febryanto Pratomo, Danar Guruh Pratomo, Danar Guruh Putri, Rizky Annisa R A, Dwi Ayu Rahmansyah, Ferdian Zaki Ramadhanni, Rizky Fitria Ramdhanu, Lalu Teguh Purnama Resti Limehuwey Ricko Andrew FG. Rivani, Amalia Putri Rizha Fahlefi Romadina Indah Wardani Rossita Yuli Ratnaningsih Salam Tarigan Salsabila, Shada Sanjaya, Hartanto Sayono , Gilang Amrullah Sekartadji, Ratih Sri Ratna Ningsih, Sri Ratna Sukojo , Bangun Muljo Sulaiman, Albertus Sulistiawati Sulistiawati Sulistyah, Umroh Dian Sulistyah, Umroh Dian Syariz, Muhammad Aldila Tambunan, Mangapul Parlindungan tyastiti , erika yuniar Wardani , Romadina Indah Wulandari, Baiq Arasya Yennie Marini Yennie Marini, Yennie Zulfahmi Afifi