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All Journal ILMU KELAUTAN: Indonesian Journal of Marine Sciences Jurnal Perikanan dan Kelautan Journal of Geoscience, Engineering, Environment, and Technology Dinamika Maritim Jurnal Komposit : Jurnal Ilmu-Ilmu Teknik Sipil Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse) Jurnal Pengabdian kepada Masyarakat Politeknik Negeri Batam
Muhammad Zainuddin Lubis
Jurusan Teknik informatika konsentrasi Teknik Geomatika, Politeknik Negeri Batam
Aerospace Engineering Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Mechanical Engineering Physics Transportation Other

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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.
The Coherency and Correlation between Sea Surface Temperature and Wind Velocity in Malacca Strait: Cross Wavelet Transform and Wavelet Coherency Application Khoirunnisa, Hanah; Wisha, Ulung Jantama; Lubis, Muhammad Zainuddin
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 (1209.809 KB) | DOI: 10.24273/jgeet.2017.2.3.590

Abstract

This study tried to observe the correlation and coherency between sea surface temperature (SST) and wind velocity in the Malacca Strait at the year of 2015. The SST and wind velocity data with 6 hours interval step have been used in this study. S-Transform, the Cross Wavelet Transform, and the Wavelet Coherency were applied to observe the influence of the variation of sea surface temperature to the wind velocity in Malacca Strait. These methods could produce the phase lag and the time of occurrence between them. S-Transform was used to show the spectrum energy of the sea surface temperature variation. The strongest correlation between them has the period of 32 days during July to August and October to November at each point with significance level of 95 %. The coherency of them has the range of 4 to 64 days at each point. The last result is the spectrum energy of SST variation that has the period of 5 to 50 days at each point. It was similar to the result of the correlation and coherence period between the wind velocity and the SST data
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

PENGGUNAAN CITRA LANDSAT 8 UNTUK PEMETAAN PERSEBARAN LAMUN DI PESISIR PULAU BATAM Lubis, Muhammad Zainuddin; Sari, Dewi Puspa; Aprilliyanti, Titi; Daulay, Ari Kurniawan; Hanafi, Aditya; Ananda, Fitriya; Saputri, Dhea Ayu; Aminah, Siti; Zabid, Muhammad Anand Pratama; Ibrahim, Muhammad Ma'ruf
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

Landsat 8 satellite provides information (image / picture / photo map) operating free which can be downloaded from the official website. Lyzenga analysis is used to correction of water column so that the appearance of the object in satellite sensors for the better. The study was conducted during the month of August 2016 using the method with Lyzenga, proofreading imagery, as well as classification. The purpose of this research is to know the distribution of sea grass in coastal areas of the island of Batam using Landsat 8, by looking at the physical parameters of the ocean in-situ temperature and dissolved oxygen (DO). These results indicate the relationship of the distribution of each station has the lowest value that is at Piayu sea, and the highest brightness values are in the area of Nongsa sea, dissolved oxygen (DO) is highest in the area Piayu sea and the highest temperature in the area Sekupang sea with a value of 80 mg/l and 36.50 C. His cause is not found in mono-specific sea grass life and the area, and there are no real ecological disturbances, such as the characteristics of the habitat, community structure, and the threat of sea grass distribution plan participate discussed.
KARAKTERISTIK KONDISI FISIK OSEANOGRAFI MENGGUNAKAN CITRA LANDSAT 8 DI LAUT BATAM Lubis, Muhammad Zainuddin; Daya, Andriansyah Pratama; Suzita, Suzita; Silaban, Robby Darlinto; Anjani, Meidy; Perananda, Ade; Gultom, Susi Indah Agustina; Sihaloho, Angela Moriana; Siahaan, Feby Angelin Garizi; Siboro, Amanda T.; Ghazali, Muhammad
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

Kondisi Terumbu Karang dan Ikan Karang di Perairan Desa Waigoiyofa, Kabupaten Kepulauan Sula Alimuddin, Alimuddin; Idris, Muhammad Kemal; Lubis, Muhammad Zainuddin; Giu, La Ode M. Gunawan; Zibar, Zan
Jurnal Komposit: Jurnal Ilmu-ilmu Teknik Sipil Vol. 5 No. 2 (2021)
Publisher : Universitas Ibn Khaldun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32832/komposit.v5i2.6286

Abstract

AbstrakTerumbu karang sangat dipengaruhi oleh kegiatan manusia dan kenaikan suhu permukaan laut karena perubahan global.  Penelitian ini bertujuan untuk mengetahui kondisi terumbu karang dan ikan karang di Desa Waigoiofa tahun 2019. Pengambilan data karang menggunakan metode Line Intercept Transect (LIT) sedangkan pengambilan data ikan karang menggunakan metode visual sensus. Parameter perairan yang diukur adalah suhu, salinitas, derajat keasaman (pH), kecerahan dan kecepatan arus. Berdasarkan pengamatan, suhu perairan berkisar antara 30,1 °C – 30,2 °C.  Salinitas perairan bernilai 30 "°. pH perairan bernilai 6,76 – 6,77 yang menunjang bagi kehidupan biota karang.  Tingkat kecerahan perairan adalah 100 %. Kecepatan arus sebesar 0,1 m/det. Kondisi ekosistem terumbu karang berdasarkan persentase penutupan karang keras berkisar antara 18,24 % – 44,44 % dengan kategori buruk sampai sedang. Indeks mortalitas karang di lokasi studi adalah kecil berkisar antara 0 – 0,471, artinya bahwa tidak ada perubahan berarti bagi karang hidup. Kelimpahan ikan karang berkisar antara 1,96 ind/m2 – 2,58 ind/m2 yang didominasi oleh famili Pomacentridae dan Labridae dimana kedua famili tersebut merupakan kelompok ikan yang memanfaatkan terumbu karang sebagai habitat untuk mencari makan. Nilai indeks keanekaragaman ikan karang di ekosistem terumbu karang di semua lokasi berkisar 3.95 – 4,11 yang berada dalam kategori sedang. Indeks keseragaman berada dalam kategori tinggi dengan nilai berkisar antara 0,63 – 0,64 yang menggambarkan perbedaan jumlah individu tiap spesies relatif sama dan tidak terlalu berbeda nyata. Indeks dominansi ikan karang berada dalam kategori rendah yaitu berkisar antara 0,02 – 0,03 yang menunjukkan bahwa dominasi spesies adalah rendah, sehingga kondisi komunitas ikan karang relatif stabil.Kata kunci: Metode LIT, Metode visual sensus, struktur komunitas, persentase penutupanAbstractCoral reefs are greatly affected by human activities and rising sea surface temperatures due to global changes. This study aims to determine the condition of coral reefs and reef fish in Waigoiofa Village in 2019. Data collection of coral reefs using Line Intercept Transect method while data collection of reef fishes using the visual census method. The water parameters measured were temperature, salinity, acidity (pH), brightness and current speed. Based on observations, the water temperature ranged from 30.1 °C – 30.2 °C. The salinity of the waters is 30"°. The pH of the waters is 6.76 – 6.77 which supports the life of coral biota. The brightness level of the waters is 100%. The current speed is 0.1 m/s. Conditions of coral reef ecosystems based on the percentage of hard coral cover ranged from 18.24% - 44.44 % with low to medium categories. The coral mortality index in the study area was small ranged from 0 – 0.471, meaning that there was no significant change for live corals. The abundance of reef fishes ranged from 1.96 ind/m2 – 2.58 ind/m2 which was dominated by families Pomacentridae and Labridae where both families are groups of fish that use coral reefs as a habitat for foraging. The index value of reef fish diversity in coral reef ecosystems at all stations ranged from 3.95 to 4.11 where the diversity index value was in the medium category. The uniformity index is in the high category with values ranging from 0.63 to 0.64 which illustrates the difference in the number of individuals of each species is the same and not different significantly. Reef fishes dominance index is in the low category, ranging from 0.02 to 0.03 which indicates that the species dominance is low, so the condition of the reef fish community is relatively stable.Keyword: LIT method, visual sensus method, community structure, coverage percentage
Spectral Characterization in Seaweed, Kappaphycus alvarezii, using AS7285x Spectroscopy Sensor Device Kusuma, Hollanda Arief; Suhendra, Tonny; Ilhamdy, Aidil Fadli; Ilhami, Carel Candigia Sahid; Setyono, Dwi Eny Djoko; Lubis, Muhammad Zainuddin
ILMU KELAUTAN: Indonesian Journal of Marine Sciences Vol 30, No 2 (2025): Ilmu Kelautan
Publisher : Marine Science Department Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/ik.ijms.30.2.183-191

Abstract

This study explores the spectral characterization of seaweed, Kappaphycus alvarezii, using the SparkFun Triad Spectroscopy Sensor AS7265x to assess the relationship between water content and light intensity. This research aims to provide a foundation for non-destructive monitoring of post-harvest seaweed quality using spectral techniques. The SeaSpec device was constructed using an ESP32 microcontroller, a TFT display, and the AS7265x sensor. Seaweed samples were collected from the coastal area of Karimun Islands and subjected to a controlled drying process at 40°C to determine the water content in the seaweed. The spectral data were recorded across 18 channels in the visible and infrared spectra, highlighting distinct patterns that correlate with varying moisture levels. A multiple linear regression analysis was employed to determine the contributions of individual spectral channels to water content prediction, revealing that each channel has its own unique contribution to the model. Coefficient of determination (R²), percentage error (%), and percentage accuracy (%) were also used to assess model performance. The results indicated that higher water content corresponds to increased light intensity. The analysis indicated that the visible spectrum outperformed the infrared spectrum in predictive accuracy, with an R² value of 0.79 compared to 0.61 for the infrared spectrum. This indicates that the visible light spectrum is more effective in predicting water content in K. alvarezii. The findings underscore the potential of spectral analysis as a reliable method for assessing the physico-chemical properties of seaweeds, advancing the use of optical sensors in aquaculture and environmental monitoring while paving the way for future research.
Review: Split Beam Echo Sounder in Acoustic Systems for Determine Abundance of Fish in Marine Fisheries Lubis, Muhammad Zainuddin; Surya, Ganda; Timbang, Dirgan; Rizki, Fajar; Ardian, Sandi; Hanafi, Aditya; Ariwinata Saragih, Diaz; Pradipta Ramdhani, Bayu; Novanto, Perdi; Ependi, Fikriansyah; Nofranda, M Andrew; Apriliani, Dhilla; Lestari Situmorang, Arini Dewi
Journal of Ocean, Mechanical and Aerospace -science and engineering- Vol 40 No 1 (2017): Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse)
Publisher : International Society of Ocean, Mechanical and Aerospace -scientists and engineers- (ISOMAse)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36842/jomase.v40i1.388

Abstract

In the ocean, acoustic waves are transmitted into the subsurface ocean will experience scattering (scattering) caused by marine organisms, material distributed, the structure is not homogeneous in seawater, as well as reflections from the surface and the seabed. Estimation of fish stocks in the waters wide as in Indonesia have a lot of them are using the acoustic method. The acoustic method has high speed in predicting the size of fish stocks so as to allow acquiring data in real time, accurate and high speed so as to contribute fairly high for the provision of data and information of fishery resources. Split beam echo sounder comprises two aspects, and a transducer. The first aspect is the high-resolution color display for displaying echogram at some observations and also serves as a controller in the operation of the echo sounder. The second aspect is transceiver consisting of transmitter and receiver. The echosounder divided beam first inserted into the ES 3800 by SIMRAD beginning of the 1980s and in 1985 was introduced to fishermen in Japan as a tool for catching up. Split beam transducer is divided into four quadrants. Factors that contribute affect the value of Target Strength (TS) fish Strength target can generally be influenced by three factors: a target factor itself, environmental factors, and factors acoustic instrument.
APLIKASI GOOGLE EARTH ENGINE UNTUK KLASIFIKASI HABITAT BENTIK PESISIR NONGSA BATAM MENGGUNAKAN ALGORITMA RANDOM FOREST Prabowo, Nico Wantona; Rusli, Ari; Ghazali, Muhammad; Lubis, Muhammad Zainuddin; radityani, Fitri afina
Jurnal Perikanan dan Kelautan Vol 15, No 1 (2025)
Publisher : JURNAL PERIKANAN DAN KELAUTAN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33512/jpk.v15i1.33372

Abstract

This study aims to map benthic habitats in the coastal area of Nongsa, Batam, using Sentinel-2A satellite imagery processed using the Random Forest (RF) algorithm on the Google Earth Engine (GEE) platform. The study area includes Teluk Mata Ikan, Tanjung Bemban, and Batu Besar, Nongsa District, Batam City, Kepulauan Riau Province. Field data were obtained through snorkeling surveys and underwater photo documentation in 16-18 August 2024. The four main habitat classes that were successfully identified include coral, sand, seagrass, and rubble (dead coral fragments). The classification results show the dominance of non-living substrates in the form of sand and rubble in most of the study area, while seagrass and coral are distributed in a limited area. Validation of the classification results produced an Overall Accuracy value of 89.90%, indicating a very good level of classification accuracy and suitability. The combination of Sentinel-2A imagery, RF algorithm, and GEE has proven to be effective, efficient, and replicable for mapping tropical benthic habitats spatially and periodically as a basis for sustainable coastal area management.
Pembuatan Peta Foto Udara Menggunakan Drone DJI Phantom 4 RTK dalam Pembelajaran Berbasis Proyek di Tanjung Riau, Kota Batam Roziqin, Arif; Gustin, Oktavianto; Irawan, Sudra; Lubis, Muhammad Zainuddin; Pratama, Rizki Widi; Rassarandi, Farouki Dinda; Sari, Luthfiya Ratna; Chayati, Siti Noor; Raptama, Mulia; Silvia, Ega; Haadi, Maulana Rafly Al; Zahra, Mulyani Aprilia; Sormin, Naomi Septania; Nova, Dithia Mardi; Adha, Muhammad; Sebayang, Amira Leoni Br; Lubis, Alwi Raihan; Nazara, Kasih Riang Bohouni
Jurnal Pengabdian kepada Masyarakat Politeknik Negeri Batam Vol. 5 No. 2 (2023): Jurnal Pengabdian kepada Masyarakat Politeknik Negeri Batam
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/abdimaspolibatam.v5i2.5542

Abstract

The rapid development of large-scale infrastructure in Indonesia indicates the need for solutions for fast crack applications with accurate results using methods that are efficient in terms of time and data generated. One example of the development of mapping technology in this modern era is aerial photography not only using manned aircraft, but you can also use an unmanned aerial vehicle or UAV (Unmanned Aerial Vehicle). This unmanned aircraft is better known as a drone, which is currently at an affordable price, easy to get and has the ability to shoot like a manned aircraft. Measurements were made using photogrammetric techniques from aerial photographs produced by drones. With results that have high accuracy, and can be done in the shortest possible time, then the use of drones in making topographic maps will be more widely used in the future. In our study and research survey that we conducted in the form of PBL (Project Based Learning) Politeknik Negeri Batam students in community service in the soaking village, Tanjung Riau, Batam Island, namely for making aerial photo maps using the DJI Phantom 4 RTK drone which we carried out in the village soak.
Co-Authors Aditya Hanafi, Aditya Ananda, Fitriya Ananda, Fitriya Anjani, Meidy Anjani, Meidy Apriliani, Dhilla Aprilliyanti, Titi Aprilliyanti, Titi Ardian, Sandi Arif Roziqin, Arif Arini Dewi Lestari Situmorang, Arini Dewi Lestari Ariwinata Saragih, Diaz Chayati, Siti Noor Daulay, Ari Kurniawan Daulay, Ari Kurniawan Daya, Andriansyah Pratama Daya, Andriansyah Pratama Dewi Puspa Sari, Dewi Puspa Dirgan Timbang, Dirgan Dwi Eny Djoko Setyono, Dwi Eny Djoko Ependi, Fikriansyah Fajar Rizki, Fajar Ganda Surya, Ganda Ghazali, Muhammad Ghazali, Muhammad Giu, La Ode M. Gunawan Gultom, Susi Indah Agustina Gultom, Susi Indah Agustina Guspriyanto, Deny Guspriyanto, Deny Haadi, Maulana Rafly Al Hanah Khoirunnisa, Hanah Henry Munandar Manik Hollanda Arief Kusuma Husnul Kausarian Ibrahim, Muhammad Ma'ruf Ibrahim, Muhammad Maruf Idris, Muhammad Kemal Ilhami, Carel Candigia Sahid Kasih Anggraini, Kasih Lestari Situmorang, Arini Dewi Lubis, Alwi Raihan Mandala, Gio Fitra Tirta Mandala, Gio Fitra Tirta Mufida, Mir'atul Khusna Muhammad Adha Nazara, Kasih Riang Bohouni Nirwana Wau, Nirwana Nofranda, M Andrew Nova, Dithia Mardi Novanto, Perdi Oktavianto Gustin Perananda, Ade Perananda, Ade Prabowo, Nico Wantona Pradipta Ramdhani, Bayu Pratama, Rizki Widi Radityani, Fitri Afina Ramadhan, Wahyu Rizky Ramadhan, Wahyu Rizky Raptama, Mulia Rassarandi, Farouki Dinda Rizky, Fajar Rizky, Fajar Rusli, Ari Saputri, Dhea Ayu Saputri, Dhea Ayu Sari, Luthfiya Ratna Sebayang, Amira Leoni Br Siahaan, Feby Angelin Garizi Siahaan, Feby Angelin Garizi Siboro, Amanda T. Siboro, Amanda T. Sihaloho, Angela Moriana Sihaloho, Angela Moriana Silaban, Robby Darlinto Silaban, Robby Darlinto Silvia, Ega Siti Aminah Situmorang, Arini Dewi Situmorang, Arini Dewi Sormin, Naomi Septania Sri Pujiyati Sudra Irawan, Sudra Suzita, Suzita Suzita, Suzita Tiggi Choanji, Tiggi Tonny Suhendra Ulung Jantama Wisha Wenang Anurogo, Wenang Zabid, Muhammad Anand Pratama Zabid, Muhammad Anand Pratama Zahra, Mulyani Aprilia Zibar, Zan