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All Journal HAYATI Journal of Biosciences Indonesian Journal of Geography Jurnal Pembangunan Wilayah dan Kota LaGeografiA Media Komunikasi Geografi Jurnal Geografi : Media Informasi Pengembangan dan Profesi Kegeografian Majalah Geografi Indonesia JTSL (Jurnal Tanah dan Sumberdaya Lahan) Jurnal Tataloka Jurnal Geosaintek MAJALAH ILMIAH GLOBE Jurnal Environmental Science Jurnal Geografi, Edukasi dan Lingkungan Jurnal Epidemiologi Kesehatan Komunitas International Journal of Remote Sensing and Earth Sciences (IJReSES) Jurnal Geografi LIngkungan Tropik (Journal of Geography of Tropical Environments) Jurnal Geosaintek The International Journal of Remote Sensing and Earth Sciences (IJReSES)

Tambunan, Mangapul Parlindungan

Department Of Geography, Faculty Of Mathematics And Natural Sciences (FMIPA), Universitas Indonesia, Depok 16424, Indonesia

Author-ID : 1990729

Agriculture, Biological Sciences & Forestry Humanities Astronomy Civil Engineering, Building, Construction & Architecture Earth & Planetary Sciences Education Environmental Science Health Professions Physics Public Health Social Sciences Other

Published : 31 Documents Claim Missing Document

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Kajian Spasial Tingkat Kerentanan COVID-19 Di Kecamatan Pesanggrahan, Jakarta Selatan Aditya Ramadhan; Mangapul Parlindungan Tambunan; Rudy Parluhutan Tambunan
Jurnal Geografi, Edukasi dan Lingkungan (JGEL) Vol. 6 No. 1 (2022): Volume 6, No. 1 Tahun 2022
Publisher : Pendidikan Geografi Universitas Muhammadiyah Prof. Dr. Hamka

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

Pandemi COVID-19 di Jakarta mengalami lonjakan tinggi dikarenakan provinsi ini merupakan tingkat interaksi sosial yang tinggi, salah satunya di Kecamatan Pesanggrahan. Jakarta Selatan. Penelitian ini bertujuan mengidentifikasi dan menganalisa kerentanan penularan COVID-19 dari beragam parameter. Metode yang digunakan berbasis spasial berdasarkan klasifikasi yang telah dibuat dengan skoring dan pembobotan metode rangking berdasarkan enam variabel kerentanan fisik, sosial dan ekonomi. Selanjutnya, diintegrasikan Sistem Informasi Geografi untuk analisis overlay. Data penelitian menggunakan data sekunder yang berasal dari instansi terkait, sedangkan data primer diperoleh dari kegiatan langsung ke lapangan seperti melakukan penandaan lokasi dan dokumentasi. Penelitian ini menggunakan pendekatan kuantitatif deskriptif. Berdasarkan hasil penelitian diketahui bahwa Kelurahan Petukangan Utara dan Kelurahan Ulujami, seluruh wilayahnya terklasisfikasi kerentanan tinggi. Selanjutnya, Kelurahan Petukangan Selatan sebagian besar wilayahya memiliki kerentanan rendah namun terdapat wilayah dengan kerentanan sedang seluas ± 1,19 km². Kelurahan Bintaro seluruh wilayahnya memiliki kerentanan sedang ditambah sebagian kecil wilayah Kelurahan Pesanggrahan seluas ± 4,64 km² sedangkan sisanya terklasifikasi kerentanan rendah. Untuk kerentanan rendah secara keseluruhan terdapat pada Kelurahan Pesanggrahan dan Petukangan Selatan. Secara persentase keruangan Kecamatan Pesanggrahan, sebesar 20,88% luas wilayah memiliki kerentanan rendah, kerentanan sedang sebesar 43,33%, dan 35,8% terklasifikasi kerentanan tinggi.

Pola Spasial Masyarakat Dalam Pemanfaatan Ruang Terbuka Selama Pandemi Covid-19: Studi kasus : Waduk 1 dan Waduk 2 di Kelurahan Rambutan Nur Aliyah; Mangapul Parlindungan Tambunan
Jurnal Geografi, Edukasi dan Lingkungan (JGEL) Vol. 6 No. 1 (2022): Volume 6, No. 1 Tahun 2022
Publisher : Pendidikan Geografi Universitas Muhammadiyah Prof. Dr. Hamka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22236/jgel.v6i1.8104

Kebiasaan baru mengubah perilaku dan aktivitas masyarakat di ruang terbuka. Ruang terbuka di wilayah Kelurahan Rambutan yang di dalamnya terdapat aktivitas berada di RW 06 yaitu waduk 1 dan waduk 2. Penelitian ini bertujuan untuk melihat pola spasial masyarakat dalam pemanfaatan ruang terbuka selama pandemi COVID-19 dan melihat keterikatan antara pola masyarakat dengan penambahan kasus COVID-19. Metode pendekatan yang digunakan adalah keruangan dengan analisis deskriptif. Penentuan responden dengan teknik sampel aksidental menggunakan teknik wawancara dengan kuisioner. Aktivitas yang dilakukan di kedua waduk beragam seperti berolahraga, bermain, memancing atau bersosialisasi. Waduk 2 memiliki jumlah pengunjung lebih banyak karena memiliki akses dan lokasi yang baik. Pola aktivitas masyarakat di Waduk 1 didominasi oleh masyarakat yang berolahraga. Sedangkan pola aktivitas masyarakat di waduk 2, saat pagi hari didominasi oleh masyarakat yang berolahraga dan saat sore hari didominasi oleh aktivitas bermain layangan dan bersosialisasi. Dalam beraktivitas masyarakat hanya 60,7 % untuk waduk 1 dan 71,9% untuk waduk 2 yang menggunakan masker. Sebaran kasus positif COVID-19 tertinggi ada di RW 06 kemudian diikuti oleh RW 04. Pola aktivitas masyarakat di ruang terbuka memiliki risiko yang tinggi terhadap penambahan kasus positif COVID-19.

Peta Persebaran Covid-19 berbasis Sistem Informasi Geografis (SIG) di Kecamatan Sukarame Kota Bandar Lampung Annisa Putri; Mangapul Parlindungan Tambunan; Rudy Parluhutan Tambunan
LaGeografia Vol 20, No 3 (2022): Juni
Publisher : UNIVERSITAS NEGERI MAKASSAR

The spread of Covid-19 cases continues to develop every day. Sukarame is one of the districts in Bandar Lampung City with the highest number of Covid-19 patients. The public needs to understand this situation. Information that can be accessed in real-time is needed. This can be done by utilizing a Geographic Information System (GIS). The purpose of this research is to visualize data on the distribution of Covid-19 cases that is easily accessible so that it can increase the public's early awareness and assist the government in making the most appropriate decisions. The method used in this research is the descriptive analysis method and field survey. The results show that the distribution of Covid-19 at the district level can be made in the form of a web-based map. Information that can be displayed includes (1) the number of confirmed cases, died, recovered, and was monitored, in each sub-district, (2) the name, address, and photo of the community health center, and (3) the name of the maker and the last time the map was modified. The public can also take advantage of other features, such as details, base map, share, print, search, zoom in, zoom out, and find my location.AbstrakPersebaran kasus Covid-19 terus mengalami perkembangan setiap harinya. Sukarame merupakan salah satu kecamatan yang ada di Kota Bandar Lampung dengan jumlah pasien Covid-19 tertinggi. Masyarakat perlu memahami situasi ini. Informasi yang dapat diakses secara real-time sangat dibutuhkan. Hal ini dapat dilakukan dengan menggunakan Sistem Informasi Geografis (SIG). Tujuan penelitian ini ialah membuat visualisasi data persebaran kasus Covid-19 yang mudah diakses sehingga mampu meningkatkan kewaspadaan dini masyarakat dan membantu pemerintah dalam membuat keputusan yang paling tepat. Metode yang digunakan dalam penelitian ini adalah metode deskriptif analisis dan survei lapang. Hasil penelitian menunjukkan bahwa persebaran Covid-19 di tingkat kecamatan dapat dibuat dalam bentuk peta berbasis web.. Informasi yang dapat ditampilkan, antara lain (1) jumlah kasus konfirmasi, meninggal, sembuh, dan pemantauan, di setiap kelurahan, (2) nama, alamat, dan foto puskesmas, dan (3) nama pembuat dan waktu terakhir peta dimodifikasi. Masyarakat juga dapat memanfaatkan fitur lainnya, seperti details, base map, share, print, search, zoom in, zoom out, dan find my location.

Analisis Spasial Potensi Ekonomi dengan Fuzzy Overlay di Sekitar Bandara Internasional Jawa Barat Nurina Rachmita; Mangapul Parlindungan Tambunan; Masita Dwi Mandini Manessa; Rudy Parluhutan Tambunan
Jurnal Pembangunan Wilayah dan Kota Vol 17, No 4 (2021): JPWK Volume 17 No. 4 December 2021
Publisher : Universitas Diponegoro, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/pwk.v17i4.34681

Hadirnya Bandara Internasional Jawa Barat (BIJB) di Kecamatan Kertajati telah memberikan dampak positif terhadap pembangunan infrastruktur di wilayah tersebut. Dengan dibangunnya berbagai infrastruktur diharapkan dapat memicu dan meningkatkan pertumbuhan perekonomian. Peningkatan pertumbuhan ekonomi dapat tercapai jika didukung oleh aktivitas atau kegiatan perekonomian di sekitarnya. Penelitian ini bertujuan untuk mengidentifikasi kesesuaian wilayah kegiatan ekonomi di Kecamatan Kertajati, Jatitujuh dan Ligung kemudian menganalisa kesesuaian wilayah tersebut terhadap Rencana Tata Ruang Wilayah (RTRW). Parameter yang digunakan pada penelitian ini adalah data jaringan jalan, permukiman dan lokasi kegiatan perekonomian yang telah ada sebelumnya. Metode yang digunakan dalam penelitian ini adalah analisis spasial dengan pemodelan logika fuzzy pada software ArcGIS. Dari penelitian ini menghasilkan tiga kategori wilayah kesesuaian: ‘Cukup Sesuai’, ‘Sesuai’ dan ‘Sangat Sesuai’. Ditemukan lokasi wilayah yang bertampalan dengan kawasan yang dilindungi berupa kawasan resapan air seluas 0,55 Km2. Hal ini dapat dijadikan pertimbangan dan masukan bagi investor dan Pemerintah Daerah Kabupaten Majalengka dalam melakukan pengembangan dan penataan wilayah.

ANALISIS SPASIAL DAERAH POTENSI RAWAN LONGSOR DI KOTA AMBON DENGAN MENGGUNAKAN METODE SMORPH Heinrich Rakuasa; S Supriatna; Mangapul Parlindungan Tambunan; Melianus Salakory; Wiclif. S. Pinoa
Jurnal Tanah dan Sumberdaya Lahan Vol. 9 No. 2 (2022)
Publisher : Departemen Tanah, Fakultas Pertanian, Universitas Brawijaya

The geographical condition of Ambon City, which is 75% a hilly area resulted in most communities building in marbled areas with slopes above 20%, which has the potential to threaten life and landslide disasters. This study simply looked at the influence of slopes and slope shapes in Ambon City that can be analyzed using geographic information systems (GIS) to map areas that have the potential for landslides. Identification and mapping of potential landslide areas have an important role as an effort in overcoming and anticipating the occurrence of landslide disasters. This study aimed to analyze the spread of potential landslide areas in Ambon City based on the results of SMORPH modeling. The study used the slope morphology or SMORPH method, which has a better degree of accuracy than the Storie Index and SINMAP methods to identify and classify potential landslide areas based on the matrix between slope shape and slope angle. This study resulted in 4 levels of landslide potential areas, namely very low, low, medium and high potential. Areas with high landslide potential dominate the northern and southern parts of Ambon City. In the region, most landslides occur in the form of sunken and convex slopes. The region has a hilly and mountainous topography with a steep slope. The results of this research using the SMORPH method can illustrate that the slope of the increasingly higher slope accompanied by the shape of a convex or concave slope will cause the potential for landslides that are higher in the region.

URBAN HEAT ISLAND DI KOTA TANGERANG SELATAN Agita Devi Prastiwi; Supriatna Supriatna; Rudy P. Tambunan; Mangapul Parlindungan Tambunan
Jurnal Geosaintek Vol 8, No 2 (2022)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25023659.v8i2.11721

Abstract. The industrial revolution opened up opportunities in changing people’s lives from an agrarian economic activity to an industry-based economy so that many people mass produced the phenomenon of migration. In 2018, 55% of the world’s population live in urban areas and by 20150 this will increase to 70 percent (United Nations, 2019). Migration disturbs the heat energy balance in urban areas as compared to suburban or surrounding areas, resulting in a temperature difference phenomenon known as urban heat island (Sharma et al. 2019). South Tangerang is one of the districts adjacent to the city of DKI Jakarta which is known as the world’s big city so it has vulnerability as a migration destination. So it is necessary to conduct a study that can provide an overview of the future phenomena of the emergence of potential urban heat island (UHI) that can be used as mitigation of the impacts of climate changes. As a results, from 2004 and 2020 there was an increase 0,30C UHI Index. The UHI phenomenon that occurs in South Tangerang City is also a result of existing developments in DKI Jakarta for areas that are directly connected to DKI Jakarta, such as Pondok Karya, Pondok Betung, and Cirendeu will experience urban growth.

PERSEPSI DAN STRATEGI SEKTOR PERTANIAN DALAM MENGHADAPI RISIKO PERUBAHAN IKLIM : STUDI KOMPARASI PULAU ARANG (BANGLADESH) DAN SEMARANG (INDONESIA) Eva Nurrahmi Lukman; Mangapul Parlindungan Tambunan; Raldi Hendro Toro Seputro Koestoer
Jurnal Environmental Science Vol 4, No 1 (2021): Oktober
Publisher : UNIVERSITAS NEGERI MAKASSAR

ABSTRACTClimate change is a serious environmental problem that cannot be avoided due to global warming. This is because the impacts of climate change have been felt in every aspect of human life, one of which is the agricultural sector. Agriculture is the sector that is experiencing the most serious impact due to climate change because the agricultural sector relies on the water and weather cycle to maintain its productivity. Humans alone cannot control climate behavior. Arang Island in Bangladesh and Semarang district, Indonesia are faced with the threat of climate change risks in agriculture. The purpose of this paper is to review and compare the risks of climate change in the two regions with descriptive methods and to examine how the strategies of the two regions in dealing with climate change. The analysis shows that the people of the charcoal islands in Bangladesh applied several adaptation strategies in agriculture such as implementing new or alternative agricultural practices, changing planting times, and cultivating short-duration varieties. And farmers in Semarang district can change cropping patterns or shift planting times according to the arrival of the rainy season to reduce the risk of crop failure.

An Extensive Coverage Anoa Distribution Modelling in Sulawesi Using Maximum Entropy Lalu Muhamad Jaelani; Benedict; Diah Ardiani; Mangapul Parlindungan Tambunan; Mochamad Indrawan; Andri A. Wibowo
HAYATI Journal of Biosciences Vol. 30 No. 4 (2023): July 2023
Publisher : Bogor Agricultural University, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.4308/hjb.30.4.716-724

As an endangered species, Anoa (Bubalus depressicornis and Mountain Bubalus quarlesi) inhabiting the Sulawesi island requires proper conservation both in and out of their native habitat. The study of anoa habitat is mainly conducted through field studies based on firsthand observations of anoa appearance, footprints, or excrement or through social surveys from residents who saw it directly. The studies are carried out specifically in a particular area with a relatively narrow. However, in practice, this method has limitations, such as the research location determined based on the possibility of anoa, limited research area, and inefficient use of resources. Therefore, this study aimed to model the potential habitat of anoa in the whole of Sulawesi island. This study was based on physical and environmental independent variables such as DEM, surface slope, LST, NDVI, and access to inland water, as well as in-situ species distribution retrieved from scientific papers and reports. This study discovered the likely anoa distribution on Sulawesi island, both inside and outside of its native habitat. LST is the most important independent variable in determining habitat suitability, accounting for 80% of the total, followed by water (15.3%), NDVI (2.9%), DEM (1.6%), and slope (0.3%).

TEA PLANT HEALTH RESEARCH USING SPECTROMETER Dwi Hastuti; Masita Dwi Mandini Manessa; Mangapul Parlindungan Tambunan
International Journal of Remote Sensing and Earth Sciences (IJReSES) Vol 19 No. 2 (2022)
Publisher : Ikatan Geografi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/j.ijreses.2022.v19.a3831

Tea leaves are the most important part for consumption. Leaves that are healthy have a distinct color, while leaves that are not healthy have a color that is very different from the original. Chlorophyll in leaves effects the reflection of infrared light, allowing healthy plants to reflect more infrared light than unhealthy plants. Leaf color and chlorophyll have an important role in showing the growth and health of tea plants. Remote sensing consists of collecting information about objects and features without contacting the equipment. The Normalized Difference Vegetation Index (NDVI), one of the first remote sensing analysis products used to simplify the complexity of multispectral imaging, is now the most commonly used index for botanical assessment. inconsistencies in NDVI depending on sensor-specific spatial and spectral resolutions. Different parts of the leaf have discolored spots due to health conditions or nutritional stress, so there are different spectral values on different parts of the leaf. Unhealthy tea leaves have low NIR values due to disease, insects, and sunburn, which damage the chloroplast structure of the leaves, weaken the absorption of the appropriate band, and increase reflectance. There is a difference between the measurement results of the NDVI spectrometer and the sentinel image. This is due to the fact that the Sentinel-2 image can only retrieve image pixels with a resolution and not diseased leaf parts, as with the use of a spectrometer, which directly extracts the value of the infected area from the normal part of the plant

ENVIRONMENT QUALITY IDENTIFICATION USING LANDSAT-8 IN THE PERIOD OF COVID-19 LOCKDOWN IN JAKARTA Khalifah Insan Nur Rahmi; Mangapul Parlindungan Tambunan; Rudy Tambunan
International Journal of Remote Sensing and Earth Sciences (IJReSES) Vol 20, No 2 (2023)
Publisher : Ikatan Geografi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/j.ijreses.2023.v20.a3850

The quality of the urban environment during the Covid-19 lockdown became a concern because it was reported that it had improved but the spatial studies were still limited. Spatial information at regional scale can be extracted from Landsat-8 imagery. This study aims to spatially and temporally analyze environmental quality variables from Landsat-8 Imagery and compare environmental quality indices before, during and after the Covid-19 lockdown in Jakarta. Environmental quality variables extracted from Landsat-8 imagery are PM10, LST, NDVI, NDWI, NDMI. Radiometric correction and masking were applied to obtain Landsat-8 reflectance and radian values. PM10 concentrations were estimated using linear regression between station data and visible-near infrared (VNIR) reflectance band values. The variable land surface temperature (LST) is obtained from the brightness temperature band 10 extraction. NDVI, NDWI, and NDMI are extracted from the transformation of the reflectance band index. The environmental quality index is extracted from a weighted linear combination method where each variable has a weighted value of 50% PM10, 31% LST, 11% NDVI, 5% NDWI, and 3% NDMI. The results of the distribution of the environmental quality index before, during and after the Covid-19 lockdown show changes. Before the lockdown, some areas in Jakarta had a poor environmental quality index, while during the lockdown, only a few areas were still of poor quality, including the reclamation island and the Cilincing industrial area, North Jakarta. After the lockdown, the environmental quality index decreased again i.e. good, medium and bad categories but the distribution was not as wide as before the lockdown.

Co-Authors Aditya Ramadhan Agita Devi Prastiwi Agung Syetiawan, Agung Andri A. Wibowo Annisa Putri Bayu Prasetyo Pambudi Benedict Diah Ardiani Dwi Hastuti Elok Lestari Paramita Elok Lestari Paramita, Elok Lestari Firdaus, Pramudhian Fitriani, Sarah Putri Heinrich Rakuasa Heinrich Rakuasa Isranto Handoyo Putra Jaelani, Lalu Muhamad Khairullah, Muhammad Qabus Abid Khalifah Insan Nur Rahmi Khalifah Insan Nur Rahmi Kuswantoro Marko Lukman, Eva Nurrahmi Mannesa, Masita Dwi Mandini Maryanto Maryanto Masita Dwi Mandini Manessa MASITA DWI MANDINI MANESSA, MASITA DWI MANDINI Masita Dwi Mandini Mannesa Melianus Salakory Mochamad Indrawan Muhammad Dimyat Muhammad Sufwandika Wijaya Nur Aliyah Nurina Rachmita Nurwita Mustika Sari Pambudi, Bayu Prasetyo Permatasari, Ni Ketut Feny Pinoa, W S Prastiwi, Agita Devi Rakuasa, Heinrich Raldi Hendro Toro Seputro Koestoer Ratna Saraswati Revi Hernina Rezky Yunita Ristiantri, Yusniar Rah Ayu Ristiantri, Yusniar Rah Ayu Rokhmatuloh Rokhmatuloh Rudy P. Tambunan Rudy P. Tambunan Rudy P. Tambunan Rudy P. Tambunan Rudy Parluhutan Tambunan Rudy Parluhutan Tambunan Rudy Parluhutan Tambunan Rudy Parluhutan Tambunan Rudy Parluhutan Tambunan Rudy Tambunan S Supriatna Suliyanti Pakpahan Supriatna Supriatna Supriatna Supriatna Tambunan, Rudy Tambunan, Rudy Parlindungan Tambunan, Rudy Parluhutan Tambunan, Rudy Parluhutan Taqyuddin, Taqyuddin Wayan Gede Krisna Arimjaya Widiastuti, Rastika Widyastuti, Ratri

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