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PENGARUH KONDISI OSEANOGRAFI TERHADAP PERUBAHAN IKLIM DI DAERAH PERAIRAN BATU AMPAR, KEPULAUAN RIAU Lubis, Muhammad Zainuddin; Silaban, Robby Darlinto; Siboro, Amanda T; Garizi Siahaan, Feby Angelin; Anurogo, Wenang
Jurnal Kelautan Vol 11, No 2 (2018)
Publisher : Department of Marine Sciences, Trunojoyo University of Madura, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (966.654 KB) | DOI: 10.21107/jk.v11i2.4766

Abstract

Dinamika oseanografi perairan timur samudera Hindia dipengaruhi oleh keterkaitan yang kompleks antara gaya penggerak jauh (remote forcing) dari bagian ekuator Samudera Hindia serta pengaruh lokal yang kuat. Perubahan iklim adalah perubahan jangka panjang dalam distribusi cuaca yang nyata secara statistik sepanjang periode waktu tertentu (biasanya dekade atau lebih). Hal ini mengakibatkan terjadinya di lapisan atmosfer paling bawah, yaitu fluktuasi curah hujan yang tinggi dan kenaikan muka laut. Tujuan dari penelitian ini adalah menghasilkan kondisi perubahan iklim terhadap parameter oseanografi. Analisis nilai klorofil-a, suhu permukaan laut dan pasang surut dilakukan untuk melihat perubahan iklim global di perairan Batu Ampar. Hasil analisis tersebut menunjukkan bahwa tinggi muka air laut tertinggi yaitu dengan nilai ketinggian adalah 3,1 meter, dengan suhu permukaan laut yang berada pada kisaran 29,50C - 29,750C, pada waktu 00.05-02.55 (1 Agustus 2017 - 1 September 2017). Hasil analisis kondisi oseanografi di perairan Batu Ampar tidak mengalami perubahan secara fluktuatif terhadap perubahan iklim global.   Kata kunci : Iklim, Klorofil-a, Suhu permukaan laut, Pasang surut, Perairan Batu AmparABSTRACTOceanographic dynamics of the eastern waters of the Indian Ocean are influenced by the complex interrelationship between the remote forcing of the equatorial parts of the Indian Ocean and strong local influences. Climate change is the long-term change in weather distribution statistically for a certain period of time (mostly in a decade or more). This phenomenon causes the fluctuation of the precipitation and sea level rise. The objective of this research is to examine the climate change condition based on oceanography parameters. Chlorophyll-a, sea surface temperature, and tide value analysis is done to observe the global climate change in Batu Ampar waters. The result of the analysis shows that the maximum sea level is at 3.1 m with sea surface temperature ranges from 29.50C – 29.750C and the sea surface data is taken from August 1st 2017 to September 1st 2017, at 00:05 to 02:55. Thus, the oceanography condition analysis results in Batu Ampar waters does not fluctuate regarding global climate change.Keywords: Climate, Chlorophyll-a, Sea surface temperature, Tides, Batu Ampar waters
Factors affecting land transfer function and its impact on farmers' income in Srigading Village, Sanden Sub-district, Bantul Regency Anurogo, Wenang; Lubis, Muhammad Zainuddin; Khoirunnisa, Hanah
Jurnal Pendidikan Geografi: Kajian, Teori, dan Praktek dalam Bidang Pendidikan dan Ilmu Geografi Vol 24, No 1 (2019)
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (201.111 KB)

Abstract

Coastal area is a specific area where the region can be used as a tourist area, settlements, and agriculture. Some forms of utilization in the field of agriculture, among others, is farming of paddy fields or fishery ponds. As is the case along the southern coast of the Special Territory of Yogyakarta. Coastal residents of Bantul and Kulon Progo districts utilize coastal land as dryland farming and fishery ponds. This study aims to determine the effect of land use change in the Srigading Village (especially for the conversion of shrimp ponds) to the farmers' income in the Village. This research uses the tools of remote sensing technology to identify land use change that happened in the research area and combine with interview result data to know earnings difference from a farmer. The result of the analysis shows that land use in the coastal area of Srigading Village, Sanden Sub-District, Bantul Regency, before being used as shrimp pond is dominated by agricultural land and garden/moor. There are also settlements, and bodies of water contained in the study area. Land in the form of gardens/moor and agricultural land is a land that has the potential to switch function to shrimp farms as long as get enough brackish water supply. The distance is quite close to the beach and the river makes the land is very potential to switch functions into ponds. The results of the analysis also showed that farmers' income before and after shrimp farming in Srigading village experienced an average increase of almost 50%.Kawasan pesisir merupakan wilayah yang berpotensi mengalami perubahan penggunaan lahan. Penduduk pesisir Kabupaten Bantul dan Kulon Progo memanfaatkan lahan pesisir sebagai pertanian lahan kering dan kolam perikanan. Penelitian ini bertujuan untuk mengetahui pengaruh perubahan penggunaan lahan di Desa Srigading (terutama untuk konversi tambak udang) terhadap pendapatan petani di desa. Penelitian ini menggunakan alat teknologi penginderaan jauh untuk mengidentifikasi perubahan penggunaan lahan yang terjadi di daerah penelitian dan digabungkan dengan data hasil wawancara untuk mengetahui perbedaan pendapatan dari petani. Hasil analisis menunjukkan bahwa penggunaan lahan di wilayah pesisir Desa Srigading, Kecamatan Sanden, Kabupaten Bantul, sebelum digunakan sebagai tambak udang didominasi oleh lahan pertanian dan kebun/tegalan. Ada juga pemukiman, dan area air yang terdapat di wilayah studi. Kebun/tegalan dan lahan pertanian adalah lahan yang berpotensi untuk beralih fungsi ke tambak udang selama mendapat pasokan air payau yang cukup. Jaraknya yang cukup dekat dengan pantai dan sungai menjadikan tanah sangat potensial untuk beralih fungsi menjadi kolam. Hasil analisis juga menunjukkan bahwa pendapatan petani sebelum dan sesudah budidaya udang di desa Srigading mengalami peningkatan rata-rata hampir 50%.DOI: http://dx.doi.org/10.17977/um017v24i12019p034
Mangrove Distribution in Riau Islands Using Remote Sensing Technology Irawan, Sudra; Kurniawan, Dwi Ely; Anurogo, Wenang; Lubis, Muhammad Zainuddin
Journal of Applied Geospatial Information Vol 1 No 2 (2017): Journal of Applied Geospatial Information (JAGI)
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jagi.v1i2.456

Abstract

Mangrove mapping is done with remote sensing technology using high-resolution image data. Application and information are then presented in web form. This study aims to map the mangrove distribution in Riau Islands, Indonesia. Based on the analysis, from the research data obtained the total area of mangrove in Riau Islands in 2011 and 2017 amounted to 71,504.83 Ha and 64,218.90 Ha, decreased by 7,285, 93 Ha or decreased by 10.19%. Based on the regency, the largest mangrove area in 2017 is located in Batam City of 22,964.77 Ha, then Karimun Regency (13,659,58 Ha), Lingga Regency (11,881.61 Ha), Regency of Bintan (9,701.49) Ha, Natuna Regency (2,477.16 Ha), Tanjungpinang City (1,847.65 Ha), and Anambas Regency (1,686.61 Ha). The magnitude of the widespread change (widespread reduction) occurring over the years between 2011 and 2017 by district, Natuna Regency experienced the largest reduction of 1,949.69 Ha or around 41.39%, followed by Lingga Regency of 1,947.15 Ha (14.08%), Tanjungpinang Municipality of 284.13 Ha (13.33%), Karimun Regency 1,920.93 Ha (12.33%), Anambas Regency of 195.90 Ha (10.40%), Batam City 1,094.83 Ha (4.55%) and Bintan Regency with 93.29 Ha (0, 95%). Opportunities that the pixels classified on the mangrove image are truly mangrove on the facts in the field.
Pemetaan kualitas permukiman dengan menggunakan penginderaan jauh dan SIG di kecamatan Batam kota, Batam Farizki, M.; Anurogo, Wenang
Majalah Geografi Indonesia Vol 31, No 1 (2017): Maret 2017
Publisher : Fakultas Geografi, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (124.601 KB) | DOI: 10.22146/mgi.24231

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Permukiman adalah bagian dari lingkungan hidup yang berfungsi sebagai lingkungan tempat tinggal. Kondisi dari suatu permukiman sangat mempengaruhi kelangsungan kehidupan dan kesejahteraan makhluk hidup di permukiman tersebut. Untuk mengetahui kualitas permukiman di Kecamatan Batam Kota dibutuhkan parameter-parameter penentu yang di interpretasi dari citra resolusi tinggi (Google Earth). Untuk membantu proses analisis dengan memanfaatkan teknologi penginderaan jauh dan untuk pemetaan menggunakan software SIG. Metode yang digunakan adalah metode pengharkatan (scoring), tumpang susun (overlay). Hasil dari overlay tersebut adalah peta kualitas permukiman di kecamatan Batam Kota, Kota Batam. Dari penelitian ini dapat diketahui bahwa permukiman di Kecamatan Batam Kota dengan kualitas baik dengan luas 476.88 Ha, kualitas sedang dengan luas 650 Ha, dan kualitas buruk dengan luas 48.89 Ha. Dari hasil tersebut permukiman di Kecamatan Batam Kota didominasi oleh permukiman dengan kualitas sedang. The neighborhood is part of the environment that serves as a neighborhood residence. The condition of a settlement extremely affects to the continuity of life and the well-being of living creatures in the neighborhood. To find out the quality of the neighborhoods in districts of Batam City required parameters in determining the interpretation of high-resolution images (Google Earth). To help the analysis process by making use of remote sensing technology for the mapping, and using software SIG. The Method is using score (scoring), and stack bundles (overlay). The result of the overlay mapped quality neighborhoods in districts of Batam city, Batam city. From this research it can be known that settlements in Batam City with good quality with extensive 476.88 Ha, better quality with an area of 650 Hectares, and bad quality with extensive 48.89 Ha. The results of the neighborhoods in districts of Batam City are dominated by the neighborhoods with better quality.
Fish stock estimation in Sikka Regency Waters, Indonesia using Single Beam Echosounder (CruzPro fish finder PcFF-80) with hydroacoustic survey method Lubis, Muhammad Zainuddin; Anurogo, Wenang
Aceh Journal of Animal Science Vol 1, No 2: December 2016
Publisher : Syiah Kuala University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (467.799 KB) | DOI: 10.13170/ajas.1.2.5463

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Sikka regency waters including fishery management with a high utilization status so that the necessary stages of an intensive monitoring and research potential of fish resources. This study aimed to obtain the estimated value of stock biomass and density of fish resources with the acoustic method. Quantitative data obtained will be a source of current information on the state of fish resources in the Sikka regency waters, Indonesia. The research was conducted in May 2015. Acoustic data retrieval, using instruments CruzPro fish finder PcFF-80 with sound velocity of 1516 m / s, power 2560 Watt, and method in survey acoustic use hydroacoustic long transect. The horizontal distribution shows a fluctuation striking at research location has the highest salinity levels in the range of 29.3-29.8 psu. Total biomass of fish in this study showed more the number is at a depth of 11-20 m that is 2,008 tons/km and at a depth of 1-10 m have the total fish biomass is 12.33 tons/km, single detection is done using a single target hydroacoustic show more dominance at a depth of 11-20 m in Sikka regency waters, MTB, Indonesia in May 2015. Number of data from results obtained by looking at the relationship between the number of the data with the total biomass in 1-10 m depth has equation Y = 0.0967x + 0.0486 with R2 is 0.0464 (4%) , while at a depth of 11-20 m has a regression equation is Y = 0.0003x + 0041 with the R2 is 0.0091 (0.9%). Variations in the data or the detection of single targets have variations over the data that is at a depth of 11-20 m with the lowest regression is 0.9%.Keywords:   Hydroacoustic, Salinity, Biomass, Stock estimation, Sikka regency waters.
PENGARUH PASANG SURUT TERHADAP DINAMIKA PERUBAHAN HUTAN MANGROVE DI KAWASAN TELUK BANTEN Anurogo, Wenang; Lubis, Muhammad Zainuddin; Khakhim, Nurul; Prihantarto, Wikan Jaya; Cannagia, Lingga Renggana
Jurnal Kelautan Vol 11, No 2 (2018)
Publisher : Department of Marine Sciences, Trunojoyo University of Madura, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (629.846 KB) | DOI: 10.21107/jk.v11i2.3804

Abstract

Luas hutan mangrove Indonesia menurun sekitar 4,5 juta ha menjadi 1,9 juta ha. Penurunan luas hutan mangrove paling dominan disebabkan oleh faktor manusia. Pemantauan tingkat kerusakan hutan mangrove dengan menggunakan metode konvensional memakan waktu lama dan mahal. Pemantauan tingkat kerusakan ini sangat penting bagi para stakeholder dalam mengelola kawasan hutan mangrove. Pemanfaatan data spasial dapat memudahkan dan mempercepat interaksi dengan benda-benda di permukaan bumi. Tahapan dalam penelitian ini meliputi tiga bagian, yaitu tahap pre-field, field dan post-field. Tahap pre-field termasuk pengumpulan data, pengolahan gambar, dan identifikasi tutupan lahan di daerah penelitian untuk setiap tahunnya. Data tutupan ekstraksi dari data citra penginderaan jauh di setiap tahun kemudian dipisahkan dari data tutupan lahan mangrove. Data tutupan lahan mangrove untuk tahun pencatatan 2017 digunakan sebagai unit analisis yang digunakan sebagai basis referensi untuk pengambilan informasi di lapangan. Tahap post-field dimaksudkan untuk memproses data yang dikumpulkan, analisis statistik, menguji keakuratan hasil perubahan dan menilai kemampuan gambar penginderaan jauh dalam mengidentifikasi hutan mangrove dan transfer fungsi utilitas mereka. Luas hutan mangrove di Kabupaten Banten sekitar 681,86 Ha. Penyebaran hutan mangrove terbesar adalah di kecamatan Tirtayasa dan Pontang. Kedua kawasan tersebut memiliki nilai persentase 29,75% dan 28,46% dari total luas hutan mangrove di Teluk Banten. Tingkat distribusi terkecil adalah Kabupaten Kramatwatu yang hanya sekitar 3,11% atau 21,19 Ha dari total luas hutan mangrove di Teluk Banten.Kata kunci: Mangrove, Dinamika perubahan mangrove, Data Spasial, Pasang SurutABSTRACTThe extent of Indonesia's mangrove forest declines from the initial area of about 4.5 million ha to 1.9 million ha. The decline in the area of mangrove forest is most dominant due to the damage caused by human factors. Monitoring the extent of mangrove forest destruction by using conventional methods takes a long time and is expensive. Monitoring this level of damage is very important for the stakeholders in managing the mangrove forest area. Utilization of spatial data can facilitate and accelerate in interacting with objects found on the surface of the earth. Stages in this research outline include three parts, namely pre-field stage, field stage and post-field stage. The pre-field stage includes data collection to be used, image processing, and land cover identification in the research area for each year of image recording. The cover data of the extraction from remote sensing image data in each recording year is then separated from mangrove land cover data. The mangrove land cover data for the recording year 2017 is then used as the unit of analysis used as the reference base for information retrieval in the field by using the sample. The post-field stage is intended to process the data collected, statistical analysis, test the accuracy of the results of changes and assess the capabilities of remote sensing images in identifying mangrove forests and transfer of their utility functions. The mangrove forest in Banten regency is about 681.86 Ha. The largest spread of mangrove forest is in Tirtayasa and Pontang sub-districts. The two sub-districts have a percentage value of 29.75% and 28.46% of the total mangrove forest area in Banten Bay. The smallest extent of distribution is in Kramatwatu District which is only about 3.11% or 21.19 Ha of the total area of mangrove forest in Banten Bay.Keywords: Mangrove, Dynamics of mangrove changes, Spatial Data, Tidal
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.
Kajian Ketahanan Kawasan Wisata Berbasis Masyarakat Dalam Penguatan Ekonomi Lokal Serta Pelestarian Sumberdaya Kebudayaan Kawasan Kotagede Yogyakarta Anurogo, Wenang; Lubis, Muhammad Zainuddin; Hartono, Hartono; Pamungkas, Daniel Sutopo; Dilaga, Ahmad Prasetya
Jurnal Ketahanan Nasional Vol 23, No 2 (2017)
Publisher : Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jkn.25929

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ABSTRACT Kotagede Cultural Heritage area had been considered less attention. The tour trail activity was able to provided historical, fun and healthy knowledge as it could only be preserved or on foot. The activity depended on the interest of the people and tourists in choosing the tour. This research was intended to contributed  to the objective analysis in one of the important destinations in Yogyakarta City which was the cultural art and heritage of Kotagede and provided a spatial picture of the existing cultural tourism attractions to provided informative knowledge to the public to be in demand and continue to preserved the tour.The study of Kotagede tourism object used qualitative method combined with the use of high-resolution remote sensing image data in more interactive visualization results.The result of Kotagede tourism study showed that tourism object in Kotagede Culture area was cultural object, tradition, craft, and art which was summarized into four recommended route that were spiritual trail tour package, hallway trail tour package, architectural trail  tour package, and study trail  tour package. Managed in a participatory manner by the surrounding community and could still grew better if received direct attention from the government and stakeholders related to the management of the tourist area of Kotagede. ABSTRAK Kawasan Cagar Budaya (KCB) Kotagede selama ini dinilai kurang mendapat perhatian. Kegiatan tour wisata heritage trail ini mampu memberi pengetahuan sejarah, menyenangkan, dan menyehatkan karena hanya dapat dilalui dengan bersepeda atau berjalan kaki. Kegiatan tersebut tergantung dari minat masyarakat dan wisatawan dalam memilih tour wisata. kajian ini dimaksudkan untuk turut memberikan kontribusi dalam analisis destinasi di salah satu tujuan penting di Kota Yogyakarta yaitu kawasan seni budaya dan heritage Kotagede dan memberikan gambaran spasial tentang atraksi wisata budaya yang ada di sana guna memberikan pengetahuan yang informatif kepada masyarakat agar tertarik dan terus bisa melestarikan wisata tersebut.Kajian objek wisata heritage trail di Kotagede ini menggunakan metode kualitatif ditambah dengan pemanfaatan data citra penginderaan jauh resolusi tinggi dalam visualisasi hasil yang lebih interaktif.Hasil kajian wisata kawasan Kotagede menunjukkan bahwa atraksi wisata yang ada di kawasan Cagar Budaya Kotagede berupa benda-benda budaya, tradisi, kerajinan, dan kesenian yang dirangkum ke dalam empat rute yang direkomendasikan yakni, paket wisata jelajah spiritual, paket wisata jelajah lorong, paket wisata jelajah arsitektural, dan paket wisata jelajah studi. Paket wisata tersebut dikelola secara partisipatif oleh masyarakat sekitar dan masih dapat berkembang menjadi lebih baik lagi apabila mendapat perhatian secara langsung dari pemerintah maupun stakeholder yang berkepentingan terkait dengan pengelolaan kawasan wisata Kotagede.
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

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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).
Desain dan Uji Coba Sederhana Pada Obstacle Avoiding Robot Menggunakan Mikrokontroler Arduino Lubis, Muhammad Zainuddin; Anurogo, Wenang; Sihombing, Perdi Novanto
JURNAL INTEGRASI Vol 10 No 1 (2018): Jurnal Integrasi - April 2018
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/ji.v10i1.704

Abstract

This paper discusses the design, construction and control of the self-balancing robot obstacle avoiding thetwo-wheeled robot. The system circuit consists of a pair of DC motors and an Arduino microcontroller board,using a HC-SR04 ping sensor which is an ultrasonic sensor to detect the distance to the obstacle and from wherethe located of the robot. The results obtained from the test show the value of distance to the ping value (pingnumber) perpendicular, the more the distance will increase the higher the ping time generated. The value of thesensor distance to the object and the lowest ping time is 2 cm, and 132 μS, and the highest with a distance of 20 cmwith a ping time of 1160 μS. The further the obstacle distance, the time it takes the sensor to send back thedetection result is also longer.