Article Per Year (5 Year)
p-Index From 2021 - 2026
2.757
P-Index
This Author published in this journals
All Journal Tunas Geografi Geoplanning : Journal of Geomatics and Planning Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) Jurnal Hutan dan Masyarakat JURNAL GALUNG TROPIKA Forest and Society J SIG (Jurnal Sains Informasi Geografi) Jurnal Litbang Provinsi Jawa Tengah Jurnal Pengabdian Dharma Wacana Journal La Lifesci Jurnal Pengabdian kepada Masyarakat Jurnal Indonesia Sosial Sains Jurnal Penelitian Kehutanan Wallacea
Munajat Nursaputra, Munajat
Faculty Of Forestry, Universitas Hasanuddin, Makassar, Indonesia
Agriculture, Biological Sciences & Forestry Humanities Astronomy Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Energy Environmental Science Immunology & microbiology Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Medicine & Pharmacology Neuroscience Physics Public Health Social Sciences Other

Published : 19 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 19 Documents
Search

 1   2 
PEMANFAATAN TEKNOLOGI PESAWAT NIRAWAK UNTUK IDENTIFIKASI PEMANFAATAN LAHAN MASYARAKAT DI DALAM KAWASAN HUTAN PENDIDIKAN UNIVERSITAS HASANUDDIN Faiq, Muhammad; JB, Abdul Rachman; Afdal, Muhammad; Arkam, Muh. Iriansyah; Nursaputra, Munajat
JURNAL LITBANG PROVINSI JAWA TENGAH Vol 20 No 1 (2022): Jurnal Litbang Provinsi Jawa Tengah
Publisher : Badan Riset dan Inovasi Daerah Provinsi Jawa Tengah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36762/jurnaljateng.v20i1.888

Abstract

Drones are unmanned aircraft that are controlled by robotic systems and computer systems remotely by pilots on the ground. Drones are able to see the condition of forest areas such as identifying environmental changes and monitoring large areas, it is difficult and time consuming if carried out using land vehicles or on foot can be done easily by simply flying the drone. The use of drone technology can help the management of the Hasanuddin University Education Forest to solve the problem of forest encroachment from time to time. The educational forest area of ​​Hasanuddin University has an area of ​​1,460.50 ha and there are several lands that have been used by the community. Therefore, in this study, identification of community land use in the Education Forest area was carried out by looking at the results of drone aerial photos. The research variable is the recording of land use in the forest in the form of aerial photographs. The photo recording results are combined using agisoft to produce a perpendicular image with a resolution of 8.2 cm – 20.3 /pix. In the identification of land use, it is done using ArcGIS Software. The results of the study illustrate that community use in the forest is in the form of dry land agriculture and rice fields covering an area of ​​33.3 ha or 19% of the total area of ​​the Bengo-Bengo Education Forest area of ​​Hasanuddin University. The occupation that occurs in the Hasanuddin University Education forest is a claim of ownership over land in the forest area. The use of drone technology can help the management of the Hasanuddin University Education Forest to solve the problem of forest encroachment from time to time.
ENUMERATION OF POTENTIAL FUNGI ON POST-MINING LAND OF PT. VALE INDONESIA Tbk SOROWAKO Larekeng, Siti Halima; Nursaputra, Munajat; Nasri; Hamzah, Andi Siady; Jufri, Sri Wahyuni; Akzad, Muhammad Bima; Ardiansyah, Andri
Jurnal Galung Tropika Vol 13 No 2 (2024)
Publisher : Fakultas Pertanian, Peternakan dan Perikanan Universitas Muhammadiyah Parepare

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31850/jgt.v13i2.1170

Abstract

This study investigated the diversity and density of rhizosphere fungi in the post-nickel mining land of PT. Vale Indonesia Tbk., to assess its potential in supporting revegetation and ecological recovery. By analyzing fungal populations at various dilution levels in PDA media, this study revealed the relationship between post-reclamation duration and increased soil microbiological activity. The results showed that longer reclaimed land had denser fungal populations, especially at lower dilutions, indicating the importance of rhizosphere fungi in soil health recovery. This study confirmed that the presence of plants significantly affected the abundance and diversity of rhizosphere fungi. These findings provide insight into the importance of selecting specific fungal species for post-mining land revegetation strategies, which support plant growth and accelerate ecological recovery. It can contribute to developing best practices in ecological engineering and environmental management in post-mining areas.
Utilisation of Sentinel-2A Imagery for Estimation of Mangrove Carbon Stock in Mamminasata Area, South Sulawesi Munajat Nursaputra; Kurniawan Kurniawan; Daud Malamassam
Jurnal Indonesia Sosial Sains Vol. 5 No. 06 (2024): Jurnal Indonesia Sosial Sains
Publisher : CV. Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jiss.v5i06.1151

Abstract

Population growth and land conversion have led to the degradation of mangrove forests on the southern coast of South Sulawesi, especially the Mamminasata area. Reduced mangroves increase carbon dioxide in the atmosphere. However, data on the potential carbon absorption of mangroves is still lacking. To overcome this, remote sensing is used to estimate carbon reserves. This reseach utilises Sentinel-2A imagery to estimate mangrove carbon stocks in Mamminasata. The image processing process includes radiometric correction, atmospheric correction, image classification, and extraction of NDVI values. The NDVI value is used to classify the density of mangroves into sparse, medium, and dense, covering 1,244.75 hectares. Field data collection was carried out through a survey of forest stand measurements. The results of NDVI transformation show a value range of 0.2 to 0.8 for mangrove objects in the Mamminasata area. The NDVI data on the analysed images were then made into three density classes. The rare density class has a carbon value of 3.56 – 21.16 Ton C/ha, the medium density class is between 21.17 – 31.49 Ton C/ha, and the dense density class is between 31.50 – 39.18 Ton C/ha. Regression analysis shows a strong correlation between NDVI and carbon stock (R² = 0.7134). This study confirms the effectiveness of remote sensing in environmental monitoring and mangrove conservation. These findings support conservation efforts and sustainable management policies by highlighting areas with high carbon sequestration potential.
Evaluating Forest and Land Rehabilitation Using Remote Sensing: A Case Study in Maros Regency Rijal, Syamsu; Nursaputra, Munajat; A, Chairil
Jurnal Penelitian Kehutanan Wallacea Vol. 14 No. 1 (2025)
Publisher : Foresty Faculty of Hasanuddin University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24259/jpkwallacea.v14i1.36726

Abstract

Remote sensing technology has become crucial in vegetation monitoring, particularly for assessing vegetation density. Despite its broad application, its use in evaluating land rehabilitation efforts remains limited. The increasing extent of degraded lands has underscored the importance of effective forest and land rehabilitation activities. Traditionally, evaluating these efforts involves direct site visits to monitor plant growth annually for three years post-planting, which is time-consuming, labor-intensive, and costly. According to rehabilitation standards, a program is successful if 75% of the planted vegetation survives until the end of the third year. This study presents an efficient alternative by evaluating a rehabilitation site in Maros Regency, using remote sensing technology to monitor planting success over periods of 15 years (2007), nine years (2013), and three years (2019). The evaluation utilizes multispectral drone imagery and Normalized Difference Vegetation Index (NDVI) analysis to assess vegetation density through multi-temporal analysis across wide areas. The findings reveal that the percentage of forested areas after three, nine, and fifteen years of rehabilitation activities was 24.6%, 3.1%, and 23.5%, respectively. This research demonstrates the potential for further application of Unmanned Aerial Vehicle imagery in monitoring the success of land rehabilitation projects.
Modeling of Carbon Emissions and Sequestration Due to Land Cover Changes in Makassar Using Geospatial Technology Nursaputra, Munajat; Fa'iq, Muhammad; Anila, Chaeria; Nasir, Anugrahandini; Larekeng, Siti Halimah; Rahmat, Syaeful
Tunas Geografi Vol. 13 No. 2 (2024): JURNAL TUNAS GEOGRAFI
Publisher : Department of Geography Education, Faculty of Social Sciences, Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/tgeo.v13i2.62576

Abstract

Land-use change significantly affects carbon emissions, particularly in rapidly growing cities such as Makassar. This study uses geospatial technology to analyze the impact of land cover changes on carbon emissions and sequestration in Makassar City from 2022 to 2041. The Rapid Carbon Stock Appraisal (RaCSA) method and the QUES-C feature of the LUMENS software were utilized to model land cover changes based on the Makassar City spatial planning scenario (RTRW). The results indicate that expanding residential areas and reducing green spaces, such as mangrove forests and agricultural land, have increased carbon emissions. However, carbon sequestration in certain areas, especially in the Tallo District and reclamation areas, has increased significantly due to the establishment of local protection zones. This study highlights the importance of spatial planning that supports the protection and restoration of green spaces to enhance carbon sequestration capacity and support sustainable development strategies in Makassar City.
PEMODELAN HIDROLOGI BERBASIS SPASIAL UNTUK IDENTIFIKASI DAN ANALISIS DAERAH RAWAN BANJIR DI DAS LAMASI Nursaputra, Munajat; Syahrul R, A. Muhammad; Rijal, Syamsu; Fa'iq, Muhammad
J SIG (Jurnal Sains Informasi Geografi) Vol 7, No 2 (2024): Edisi November
Publisher : Universitas Muhammadiyah Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31314/jsig.v7i2.3365

Abstract

This study investigates the changes in flood inundation areas in the Lamasi Watershed, focusing on the integration of HEC-RAS and SWAT models from 2013-2022 with projections up to 2031. This research is motivated by the increased frequency and extent of flooding in DAS Lamasi, attributed to land use changes and hydrological variability. The methodology employed involves hydrological simulation using the SWAT model to estimate river discharge based on historical land use, climate, and topography data. The output from the SWAT model is then integrated into the HEC-RAS model to simulate flood distribution and extent. The Flow Regime Coefficient (KRS) is also analyzed to assess flow quality and identify flood risk indicators. The results indicate an expected increase in flood inundation area from 1,825.88 hectares in 2021 to 1,860.62 hectares in 2031. The KRS analysis reveals that 17 sub-basins in poor condition in the downstream areas exhibit a high risk of flooding. Based on these findings, the study recommends the development of mitigation strategies including enhanced drainage infrastructure and more effective land management. This study provides crucial insights for the planning of flood management and risk mitigation in DAS Lamasi, supporting efforts to adapt to the impacts of land use changes and climate dynamics in the future.
Utilisation of Sentinel-2A Imagery for Estimation of Mangrove Carbon Stock in Mamminasata Area, South Sulawesi Nursaputra, Munajat; Kurniawan, Kurniawan; Malamassam, Daud
Jurnal Indonesia Sosial Sains Vol. 5 No. 06 (2024): Jurnal Indonesia Sosial Sains
Publisher : CV. Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jiss.v5i06.1151

Abstract

Population growth and land conversion have led to the degradation of mangrove forests on the southern coast of South Sulawesi, especially the Mamminasata area. Reduced mangroves increase carbon dioxide in the atmosphere. However, data on the potential carbon absorption of mangroves is still lacking. To overcome this, remote sensing is used to estimate carbon reserves. This reseach utilises Sentinel-2A imagery to estimate mangrove carbon stocks in Mamminasata. The image processing process includes radiometric correction, atmospheric correction, image classification, and extraction of NDVI values. The NDVI value is used to classify the density of mangroves into sparse, medium, and dense, covering 1,244.75 hectares. Field data collection was carried out through a survey of forest stand measurements. The results of NDVI transformation show a value range of 0.2 to 0.8 for mangrove objects in the Mamminasata area. The NDVI data on the analysed images were then made into three density classes. The rare density class has a carbon value of 3.56 – 21.16 Ton C/ha, the medium density class is between 21.17 – 31.49 Ton C/ha, and the dense density class is between 31.50 – 39.18 Ton C/ha. Regression analysis shows a strong correlation between NDVI and carbon stock (R² = 0.7134). This study confirms the effectiveness of remote sensing in environmental monitoring and mangrove conservation. These findings support conservation efforts and sustainable management policies by highlighting areas with high carbon sequestration potential.
Ecological Disaster in Northern Sumatra: How Extreme Rainfall and Land-Cover Disturbance Triggered Widespread Flash Flooding Nasri, Nasri; Nursaputra, Munajat; Arif, Abdur Rahman; Dwiyani, Risye; Chania, Lady; Agastya, Ida Bagus Oka; Arif, Dian Adhetya Arif
Jurnal Penelitian Kehutanan Wallacea Vol. 14 No. 2 (2025)
Publisher : Foresty Faculty of Hasanuddin University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24259/jpkwallacea.v14i2.48907

Abstract

In November 2025, Northern Sumatra experienced one of the most extreme flood disasters in recent history, triggered by a rare combination of sustained high-intensity rainfall and long-term land-cover disturbance. Using satellite-based rainfall estimates, historical rainfall records, and land-cover change analysis, this study examines the spatial and temporal dynamics of the event. The rainfall produced over 950 mm within four days, with daily accumulation exceeding 390 mm and hourly peaks surpassing 40 mm/hr. Statistical analysis using the Generalized Extreme Value (GEV) distribution estimated a return period of approximately 192 years for the daily maximum. Land-cover analysis revealed extensive deforestation between 1990 and 2024, including in designated protection and conservation forest zones. Flood impacts were concentrated in watersheds with high forest loss and recent land disturbance, particularly in Aceh and North Sumatra. This study highlights how compounding hydroclimatic extremes and upstream land degradation can significantly amplify flood risk. The findings underscore the importance of integrating forest conservation and multi-day rainfall indicators into regional flood risk assessments and early warning systems.
Profile of Sentinel 2 Vegetation Index as Impact of Forest Change: Case Study Enrekang Regency 2019 – 2024 Periods Rijal, Syamsu; Nursaputra, Munajat; Ahmad, Afandi; Chairil; Sinaga, Revalina Theresia; Kasang, Helen Natalia; Tangdilintin, Yulanda Angel; Natsir, Anugrahandini; Basri, Nurul Muchlisah
Jurnal Hutan dan Masyarakat VOLUME 17 NO 2, DESEMBER 2025
Publisher : Fakultas Kehutanan, Universitas Hasanuddin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24259/jhm.v17i2.48920

Abstract

Land cover change is one of the key factors influencing environmental quality and ecosystem dynamics, especially in areas experiencing pressure from land use and the growth of anthropogenic activities. The Indonesian Government’s commitment to reducing greenhouse gas emissions from the land-use sector by national FOLU Net Sink 2030. This study was conducted to provide a quantitative of the vegetation indices as a response to forest cover dynamic. The study showed that the SAVI and NDVI are able to describe the change of forest to other vegetated land cover. Meanwhile, EVI index only sensitive to the change of forest to settlement area. It could be concluded that monitoring of forest change could be done by utilizing vegetation indices from Sentinel 2 satellite imagery. However, it is also necessary to pay attention to variables such as weather data, pioneer vegetation on the shrub or bareland area, as well as band processing of satellite imagery that could affect the sensitivity of vegetation indices to land cover changes in an area.
Co-Authors A Mujetahid A, Chairil A. Mujetahid Abdur Rahman Arif Abdur Rahman Arif, Abdur Rahman Agastya, Ida Bagus Oka Ahmad Syamsu Rijal Ahmad Zamzam Hidayatullah Ahmad, Afandi Akzad, Muhammad Bima Andang Suryana Soma Andi Sadapotto Andi Siady Hamzah Andri Ardiansyah Andri Ardiansyah Anila, Chaeria Ardiansyah, Andri Arif, Dian Adhetya Arif Aris Prio Ambodo Aris Prio Ambodo Arkam, Muh. Iriansyah Asriyanni Asriyanni Basri, Nurul Muchlisah Chairil Chania, Lady Daud Malamassam Daud Malamassam Dwiyani, Risye Emban Ibnurusyd Mas'ud Fa'iq, Muhammad Faiq, Muhammad Fatwa Faturachmat Hamzah, Andi Siady Haudec Herrawan Jaya, Risman JB, Abdul Rachman Jufri, Sri Wahyuni Kasang, Helen Natalia Kurniawan Kurniawan Kurniawan Kurniawan Lalu Kharismananda Hakiki Larekeng, Siti Halima Leny Rachmawati Muh Alif KS Muh Faisal Mappiasse Muhammad Afdal Muhammad Aidin Habib Khair Muhammad Alif K. Sahide Muhammad Syahrul Taufiq Ibrahim Mustari, Andi Subhan Nasir, Anugrahandini Nasri Nasri Nasri Nasri Nasri, Nasri Natsir, Anugrahandini Nurhady Sirimorok Rahmat, Syaeful Roland Alexander Barkey Samuel A. Paembonan Sinaga, Revalina Theresia SITI HALIMAH LAREKENG, SITI HALIMAH Sri Rahayu Ayuba Sri Rahayu Ayuba Supratman Supratman Supratman Supratman Syahrul R, A. Muhammad Syamsu Rijal Syamsu Rijal Syamsuddin Millang Tangdilintin, Yulanda Angel Tisen Tisen Wilan Mooduto Yohan Lawang Yohan Lawang Yusran Yusran