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All Journal Indonesian Journal of Conservation Jurnal Pendidikan Ilmu Sosial Journal of Geoscience, Engineering, Environment, and Technology Dinamika Maritim JURNAL SWARNABHUMI Journal of Digital Education, Communication, and Arts (DECA)
Wenang Anurogo, Wenang
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Arts Humanities Biochemistry, Genetics & Molecular Biology Earth & Planetary Sciences Education Engineering Environmental Science Languange, Linguistic, Communication & Media Physics Social Sciences Other

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Using Side-Scan Sonar instrument to Characterize and map of seabed identification target in punggur sea of the Riau Islands, Indonesia. Lubis, Muhammad Zainuddin; Anurogo, Wenang; Khoirunnisa, Hanah; Irawan, Sudra; Gustin, Oktavianto; Roziqin, Arif
Journal of Geoscience, Engineering, Environment, and Technology Vol 2 No 1 (2017): JGEET Vol 02 No 01 : March (2017)
Publisher : UIR PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (771.113 KB) | DOI: 10.24273/jgeet.2017.2.1.11

Abstract

Punggur sea has many habitats, object, and structured of seabed with hight tide and wave. Side scan sonar is an underwater acoustic instrument for identification of seabed. This research aims to classify types of seabed and measure seabed identification into the sea water with grain size (dB), location, altitude (m) and target using side scan sonar instrument. This research also uses one types of side scan sonar in one places with 3 line of collecting data to get more variant seabed. Side scan sonar data of 20 km of side-scan sonar profiling (CM2, C-MAX Ltd, UK) with altitude max 20 m and a working acoustic frequency of 325 kHz with the zone is taken in the punggur sea (104°08.7102 E, 1°03.2448 N until 1°03.3977N 104°08.8133 E). The data side scan sonar processed using max view software to display the image of the seabed. Results of seabed imagery in the punggur sea on track 1 have Objects found on the ship coordinates 03.3101N 1 ° and 104 ° 08.7362 E with the highest gain value is 6 dB, altitude 18 m on ping 75. Linear regression has y = 0.7016x+12.952 with R2 = 0.4125 (41%). Track 2 has target 1 is the sunken object on the seabed, while objects in the form of sand can be seen clearly. Objects found on the sunken object coordinates 1°02.8143 N ° and 104°08.5228 E with highest gain value is 9 dB with altitude 17.7 m and data ping 69. Linear regression has y = 0.2093+12.577 with R2 = 0.2093 (20%). Track 3 has Target 1 is the ship object on the seabed, while objects in the form of sand can be seen clearly. Objects found on the sunken object coordinates 1°02.5817 N and 104°08.7337 E with the highest gain value is 8 dB with altitude 16.5 m and data ping 3984. Linear regression has y = 0.5106x +12.84 with R2 = 0.5106 (51%). Track 1 has many targets identification results compared Track 2 and 3.
KARAKTERISTIK SUHU PERMUKAAN LAUT DAN KECEPATAN ANGIN DI PERAIRAN BATAM HUBUNGANNYA DENGAN INDIAN OCEAN DIPOLE (IOD) Surya, Ganda; Khoirunnisa, Hanah; Lubis, Muhammad Zainuddin; Anurogo, Wenang; Hanafi, Aditya; Rizky, Fajar; Timbang, Dirgan; Situmorang, Arini Dewi; Guspriyanto, Deny; Ramadhan, Wahyu Rizky; Mandala, Gio Fitra Tirta
Dinamika Maritim Vol 6 No 1 (2017): Dinamika Maritim, Vol. 6 No. 1, August 2017 (Special Edition)
Publisher : Coastal and Marine Resources Research Center, Raja Ali Haji Maritime University, Tanjungpinang, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1416.45 KB)

Abstract

Sea Surface Temperature and Wind Velocity in Batam Waters Its Relation to Indian Ocean Dipole (IOD) Lubis, Muhammad Zainuddin; Anurogo, Wenang; Kausarian, Husnul; Surya, Ganda; Choanji, Tiggi
Journal of Geoscience, Engineering, Environment, and Technology Vol 2 No 4 (2017): JGEET Vol 02 No 04 : December (2017)
Publisher : UIR PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1321.821 KB) | DOI: 10.24273/jgeet.2017.2.4.778

Abstract

This study aimed to observe the characteristics of sea surface temperature (SST) and wind velocity and its relation with the Indian Ocean Dipole (IOD) in the waters of Batam. The data used in this study were the SST datasets and the wind speed of 2016 in the waters of Batam. The method used in this research were the visual analysis using the data ocean view (ODV) to observe at the spatial and temporal distribution of the SST and the wind speed in Batam waters at different seasons. The next method is a fast Fourier transform (FFT). The earlier monsoon season that occurred in April has the highest wind speed with the value of 3.9 MS ** - 1 for components U. As for the V, the component has the highest value of -3.6 MS ** - 1. The SST Batam observed high in April occurred on 19-04-2016 with a value of 304.2 ° K (31.05 ° C). West monsoon winds that occurred in January has the highest wind speed with a value of 4.5 MS ** - 1 for components U. As for the V, the component has the highest value of 5.2 MS ** - 1 in the waters of Batam. The highest SST in Batam was  occurred in January on 19-01-2016 with a value of 302.8 ° K (29.65 ° C). Based on the results of the FFT, wind speed and SST in the waters of the Island has a dominant 6-month period (semiannual).
Mapping Of Vegetation And Mangrove Distribution Level In Batam Island Using SPOT-5 Satellite Imagery Rizki, Fajar; Situmorang, Arini Dewi Lestari; Wau, Nirwana; Lubis, Muhammad Zainuddin; Anurogo, Wenang
Journal of Geoscience, Engineering, Environment, and Technology Vol 2 No 4 (2017): JGEET Vol 02 No 04 : December (2017)
Publisher : UIR PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (725.228 KB) | DOI: 10.24273/jgeet.2017.2.4.1002

Abstract

Mangrove is a plant that plays a significant role in the balance of the ecosystem and coastal environment. Batam Island which is one of the island in Batam island become one of the areas rich in mangrove plants. As time goes by, mangrove forests are getting worse. This research uses SPOT-5 imagery data in analyzing mangrove density value in Batam island with MSAVI (Modified Soil Adjusted Vegetation Index) method. The results of this study have mangrove density in Batam Island which is divided into four classes, which is very tenuous, tenuous, medium, and very tightly where Batam Island is dominated by a class of density. Theoretically, NDVI values range from -1 to +1 but the mangrove vegetation index values are generally in the range between +0,1 to +0,7. NDVI values greater than this range are associated with a representation of a better level of vegetation health in the islands of Batam.
Seabed Detection Using Application Of Image Side Scan Sonar Instrument (Acoustic Signal) Lubis, Muhammad Zainuddin; Kausarian, Husnul; Anurogo, Wenang
Journal of Geoscience, Engineering, Environment, and Technology Vol 2 No 3 (2017): JGEET Vol 02 No 03 : September (2017)
Publisher : UIR PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (731.039 KB) | DOI: 10.24273/jgeet.2017.2.3.560

Abstract

The importance of knowing the method for seabed detection using side-scan sonar images with sonar instrument is a much-needed requirement right now. This kind of threat also requires frequent sonar surveys in such areas. These survey operations need specific procedures and special equipment to ensure survey correctness. In this paper describes the method of observation and retrieval of marine imagery data using an acoustic signal method, to determine a target based on the sea. Side scan sonar is an instrument consisting of single beam transducer on both sides. Side scan sonar (SSS) is a sonar development that is able to show in two-dimensional images of the seabed surface with seawater conditions and target targets simultaneously. The side scan sonar data processing is performed through geometric correction to establish the actual position of the image pixel, which consists of bottom tracking, slant-range correction, layback correction and radiometric correction performed for the backscatter intensity of the digital number assigned to each pixel including the Beam Angle Correction (BAC), Automatic Gain Control (AGC), Time Varied Gain (TVG), and Empirical Gain Normalization (EGN).
Modified Soil-Adjusted Vegetation Index In Multispectral Remote Sensing Data for Estimating Tree Canopy Cover Density at Rubber Plantation Anurogo, Wenang; Lubis, Muhammad Zainuddin; Mufida, Mir'atul Khusna
Journal of Geoscience, Engineering, Environment, and Technology Vol 3 No 1 (2018): JGEET Vol 03 No 01 : March (2018)
Publisher : UIR PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (812.215 KB) | DOI: 10.24273/jgeet.2018.3.01.1003

Abstract

Forest inventories such as tree canopy density information require a long time and high costs, especially on extensive forest coverage. Remote sensing technology that directly captures the surface vegetation character with extensive recording coverage can be used as an alternative to carrying out such inventory activities. This research aims to determine the level of vegetation canopy cover density on rubber plants that became the location of the research and know the accuracy of the resulting data. The method used in this research is a combination of remote sensing image interpretation, geographic information system, and field measurement. Information retrieval from remote sensing data is done by using ASTER data imagery. This stage includes three parts, namely: pre-field stage, field stage, and post-field stage. The pre-field stage includes the collection of data to be used (including literature studies related to the theme of the study), image processing (geometric and radiometric correction), cropping, masking, land cover classification, vegetation index transformation, and sample determination. The final result of data processing showed that the density of the vegetation canopy in the research area ranged between 7.31 – 12.952 cm / m2 in each grade of vegetation density. These values indicate the range of low-class vegetation canopy cover density to high-class vegetation canopy cover density in the research area. In this research error rate or root mean square error obtained from the calculation of canopy cover density is equal to 1.89.
MULTIMEDIA INTERAKTIF PENGENALAN HEWAN DAN TUMBUHAN LANGKA MENGGUNAKAN MODEL TUTORIAL Sembiring, Evaliata Br; Wahyuni, Dwi; Anurogo, Wenang
JOURNAL OF DIGITAL EDUCATION, COMMUNICATION, AND ARTS (DECA) Vol 1 No 2 (2018): Journal of Digital Education, Communication, and Arts (DECA)-September 2018
Publisher : Pusat Penelitian dan Pengabdian Masyarakat, Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1020.025 KB) | DOI: 10.30871/deca.v1i2.839

Abstract

Knowledge of endangered animals and plants is very important for children. Material about those two begins to be studied in class III at the elementary school. A book is used as a medium to deliver the materials. This resulted in a lack of understanding of students toward knowledge about endangered animals and plants. One of the solutions being made is to use the interactive learning media. This paper elaborates on the creation of interactive multimedia learning containing text, images, sound, and animation of 2D. The research shows that: (1) Interactive multimedia is created in the form of tutorials and practice questions in the .exe format so that their use does not depend on a specific software; (2) the aspect of interest-ness of the multimedia is 82.4%; (3) pretest and post-tests show that the interactive multimedia experience increased the student understanding, namely achieving 50% with the average value of the students' score reaches 83.3%.
Suksesi Vegetasi di Gunung Merapi Menggunakan Cellular Automata dengan Referensi Tertentu pada Model Rantai Markovian untuk Pemodelan Terintegrasi Sistem Sosial-Lingkungan Prihantarto, Wikan Jaya; Anurogo, Wenang
Indonesian Journal of Conservation Vol 9, No 1 (2020): June 2020
Publisher : Badan Pengembang Konservasi UNNES

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/ijc.v9i1.23815

Abstract

Suksesi vegetasi merupakan suatu proses alami yang terjadi pada suatu ekosistem. Proses suksesi dimulai dari perkembangan tanaman perintis yang berkembang tergantikan secara gradual oleh vegetasi sejati dengan kanopi yang jelas hingga menjadi vegetasi berkayu keras. Perkmbangan tersebut dapat terjadi akibat adanya kompetisi dan penyesuaian dengan lingkuangan yang ada. Pengideraan jauh memberikan kemudahan dalam monitoring perubahan tutupan lahan oleh vegetasi dengan kemampuan synoptic overview yang dimiliki. Selaras dengan hal tersebut, perkembangan Sistem Informasi Geografis memungkinkan pemodelan multitemporal untuk prediksi, salah satunya dengan metode cellular aoutomata. Tujuan dari penelitian ini adalah memodelkan perembetan vegetasi di sebagai bentuk suksesi pada daerah terdampak erupsi gunungapi dengan menggunakan metode cellular automata. Selain itu, penelitian ini diarahkan untuk mengevaluasi hasil pemodelan perembetan vegetasi cellular automata. Kelas strata vegetasi yang ada meliputi vegetasi kerapatan redah, sedang, dan tinggi berkembang secara spasial serta mengekspansi lahan berpasir secara natural dari tahun 2011 hingga 2015. Sekalipun hasil model 2015 menunjukkan statistik yang cukup logis dimana tidak memungkinkan terjadinya perubahan dari level tutupan yang lebih tinggi, namun tidak memberikan signifikansi pada pola spasial saat divalidasi dengan data eksisting tahun 2015. Akurasi total model sebesar 0,703 dengan nilai ideks kappa sebesar 0,579 menunjukkan pemodelan cellular automata untuk kasus ini perlu dievaluasi.
UPDATING SMALL WORKING AREA STATISTICS MAPPING USING HIGH- RESOLUTION IMAGE DATA: A CASE STUDY TO FACILITATE POPULATION CALCULATION IN BATAM MUNICIPALITY, INDONESIA Anurogo, Wenang; Annisa, Fitri; Wulandari, Dwi Anjen Setia; Bacut, Geubrina Tari; Aji, Satriya Bayu; Darmanto, Adi
JURNAL PENDIDIKAN ILMU SOSIAL Vol 29, No 2 (2020)
Publisher : Universitas Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/jpis.v29i2.28170

Abstract

The identification of the administrative area maps is done using the data from boundary mapping conducted by field workers. This mapping was carried out with a process of field survey and renewal of the position of the boundaries of the area. These regional boundaries will be processed by supporting applications (QGIS). Maps are simply presented as a description of the area of information placed in the form of territorial boundaries. This research aims to update the statistical data map used to calculate the population in the research area. The regional apparatuses (District, Sub District,) serve as a starting point for mapping processing and as information on the smoothness of the 2020 population census. The processing produces administrative boundary data that has been updated from the previous map in the form of gender and infrastructure (facilities and infrastructure), the number of residents per District, the area per District and the location of astronomical lines in the region. Based on the mapping identification results, there are several boundaries of the area whose position has been shifted due to two factors, namely changes by natural factors and changes by human activities as well as a discrepancy between Digital Maps and Analog Maps. Then it is necessary to map administrative areas that are in accordance with the application of satellite imagery (SW Maps) which are represented in vector format.
KARAKTERISTIK SUHU PERMUKAAN LAUT DAN KECEPATAN ANGIN DI PERAIRAN BATAM HUBUNGANNYA DENGAN INDIAN OCEAN DIPOLE (IOD) Surya, Ganda; Khoirunnisa, Hanah; Lubis, Muhammad Zainuddin; Anurogo, Wenang; Hanafi, Aditya; Rizky, Fajar; Timbang, Dirgan; Situmorang, Arini Dewi; Guspriyanto, Deny; Ramadhan, Wahyu Rizky; Mandala, Gio Fitra Tirta
Dinamika Maritim Vol 6 No 1 (2017): Dinamika Maritim, Vol. 6 No. 1, August 2017 (Special Edition)
Publisher : Pusat Penelitian Sumberdaya Pesisir dan Laut, Universitas Maritim Raja Ali Haji, Indonesia

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Abstract

Co-Authors Aditya Hanafi, Aditya Annisa, Fitri Arif Roziqin, Arif Arini Dewi Lestari Situmorang, Arini Dewi Lestari Bacut, Geubrina Tari Darmanto, Adi Dirgan Timbang, Dirgan Dwi Wahyuni Fajar Rizki, Fajar Ganda Surya, Ganda Guspriyanto, Deny Guspriyanto, Deny Hanah Khoirunnisa, Hanah Hanim, Liza Meutia Heldayani, Eni Husnul Kausarian Mandala, Gio Fitra Tirta Mandala, Gio Fitra Tirta Mufida, Mir'atul Khusna Muhammad Zainuddin Lubis Nirwana Wau, Nirwana Oktavianto Gustin Prihantarto, Wikan Jaya Ramadhan, Wahyu Rizky Ramadhan, Wahyu Rizky Rizky, Fajar Rizky, Fajar Satriya Bayu Aji, Satriya Bayu Sembiring, Evaliata Br. Situmorang, Arini Dewi Situmorang, Arini Dewi Sudra Irawan, Sudra Tiggi Choanji, Tiggi Wulandari, Dwi Anjen Setia