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Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management)
Published by Institut Pertanian Bogor
ISSN : 20864639     EISSN : 24605824     DOI : https://doi.org/10.29244/jpsl
Core Subject : Science, Agriculture, Social,
Agriculture, Biological Sciences & Forestry Earth & Planetary Sciences Environmental Science
JPSL publishes articles in fields: Environmental Policy and Management, Disaster Mitigation, Regional Planning, Land Resources Evaluation, Hidrology, Systems Modelling and Sciences, Water Pollution, Air Pollution, Environmental Technology, Ecotourism, Biodiversity, Environmental Economics, Public Communications, Social Sciences, Anthropology, Environmental Health
Arjuna Subject : Ilmu Lingkungan (semua ketegori) - Konservasi Alam dan Lahan
Articles 701 Documents
 67   68   69   70   71 
Isothermal Modelling of Glyphosate Herbicide Adsorption Using Biochar andHumic Substances from Palm Oil Mill Waste Athiyya, Salma; Yulnafatmawita; Amsar Maulana; Herviyanti
Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) Vol 15 No 6 (2025): Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (JPSL)
Publisher : Pusat Penelitian Lingkungan Hidup, IPB (PPLH-IPB) dan Program Studi Pengelolaan Sumberdaya Alam dan Lingkungan, IPB (PS. PSL, SPs. IPB)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jpsl.15.6.947

Abstract

Penggunaan herbisida glifosat secara luas menimbulkan masalah lingkungan karena sifatnya yang persisten dan berpotensi mencemari sistem air dan tanah. Mengoptimalkan pengembangan metode adsorpsi yang ramah lingkungan dengan memanfaatkan limbah pabrik kelapa sawit melalui konversi menjadi biochar dan zat humat, dapat mengurangi polusi dan mendukung pengelolaan limbah yang berkelanjutan. Penelitian ini telah melakukan pemodelan adsorpsi isotermal herbisida glifosat menggunakan konversi limbah pabrik kelapa sawit dalam bentuk larutan. Adsorpsi isotermal herbisida glifosat dengan metode kesetimbangan batch. Adsorpsi herbisida glifosat pada limbah pabrik kelapa sawit yang dikonversi dalam bentuk larutan menunjukkan peningkatan dengan meningkatnya konsentrasi glifosat dan pH. Kapasitas adsorpsi dan koefisien herbisida glifosat dengan formulasi 25% biochar-tandan kosong kelapa sawit dan 75% zat humat-padatan dekanter basah adalah 750,53 mg g-1 dan 93,70 L g-1 pada pH 5,2 dan konsentrasi 20,025 mg L-1. Isoterm adsorpsi herbisida glifosat terjadi pada model Freundlich dan Langmuir (Langmuir > Freundlich) di mana, model Freundlich (y = -0,9563x + 4,9729; R² = 0,4961) dengan nilai n (1,04); KF sebesar 93.950,69 (L mg-1)1/n, dan 1/n sebesar 0,96. Sementara itu, model Langmuir (y = 2,4112x + 0,0002; R² = 0,9785), dengan Qm rata-rata 5.000 mg g-1; KL sebesar 0,0001 L mg-1 dan RL sebesar 0,0002 (menguntungkan). Aplikasi biochar 25% tandan kosong kelapa sawit dan formulasi padatan dekanter basah 75% zat humat dari biokonversi limbah pabrik kelapa sawit, berpotensi mengurangi pencemaran/polusi glifosat pada lahan perkebunan kelapa sawit sebagai pembenah tanah dan mendukung pengelolaan limbah berkelanjutan.
Assessing Amdalnet’s Role in Digitalizing Environmental Approval in Indonesia:An Information System Success Model Approach Mohammad, Farid; Sutjahjo, Surjono Hadi; Effendi, Hefni; Sitanggang, Imas S.; Sasongko, Dwi P.
Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) Vol 15 No 6 (2025): Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (JPSL)
Publisher : Pusat Penelitian Lingkungan Hidup, IPB (PPLH-IPB) dan Program Studi Pengelolaan Sumberdaya Alam dan Lingkungan, IPB (PS. PSL, SPs. IPB)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jpsl.15.6.980

Abstract

Studi ini menilai keberhasilan Amdalnet menggunakan Model Keberhasilan Sistem Informasi DeLone dan McLean, dengan fokus pada enam dimensi: kualitas sistem, kualitas informasi, kualitas layanan, kegunaan, kepuasan pengguna, dan manfaat bersih. Survei online terstruktur dilakukan dengan 125 pengguna konsultan, pengulas, dan administrator yang menggunakan skala Likert dengan lima poin. Pemodelan Persamaan Struktural Kuadrat Terkecil Parsial digunakan untuk menganalisis data (PLS-SEM). Lima dari delapan hipotesis didukung. Khususnya, kualitas informasi tidak secara signifikan memengaruhi kepuasan pengguna atau penggunaan sistem, dan kepuasan pengguna tidak berdampak signifikan pada manfaat bersih. Temuan ini menunjukkan bahwa keterlibatan pengguna dalam platform digital wajib seperti Amdalnet lebih didorong oleh kepatuhan daripada nilai yang dirasakan. Studi ini menyoroti perlunya desain berorientasi pengguna dalam sistem informasi peraturan untuk meningkatkan kinerja dan legitimasi dalam tata kelola lingkungan.
Developing a Decision Tree Algorithm for Detecting Agroforestry and Monoculture Coffee Plantations Using Landsat 8 Imagery: A Case Study inBandung Regency, Indonesia Adhiguna, Agasta; Surati Jaya, I Nengah; Puspaningsih, Nining
Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) Vol 15 No 6 (2025): Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (JPSL)
Publisher : Pusat Penelitian Lingkungan Hidup, IPB (PPLH-IPB) dan Program Studi Pengelolaan Sumberdaya Alam dan Lingkungan, IPB (PS. PSL, SPs. IPB)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jpsl.15.6.1009

Abstract

Kopi arabika merupakan komoditas unggulan di Kabupaten Bandung, Provinsi Jawa Barat, Indonesia, yang memiliki potensi pengembangan yang besar dengan menggunakan sistem penanaman agroforestri. Oleh karena itu, penelitian ini bertujuan untuk mendeskripsikan pengembangan algoritma pohon keputusan dengan mengkombinasikan variabel spektral yang berasal dari citra Landsat 8 dan variabel sosio-geo-biofisik. Variabel yang dikaji meliputi citra sintetis dan faktor sosio-geo-fisik, seperti elevasi, kemiringan lereng, jarak dari jalan dan sungai, jarak dari permukiman, kepadatan penduduk, jarak dari desa, dan peta tutupan lahan yang ada. Algoritma decision tree machine learning (DTML) dikembangkan untuk mendeteksi distribusi spasial penanamn kopi agroforestri dan kopi monokultur di Kabupaten Bandung. Parameter pohon keputusan yang diuji untuk mengidentifikasi bobot masing-masing variabel adalah gain ratio, information gain, dan gini indeks. Sementara itu, metode brute force diterapkan untuk memilih variabel yang paling signifikan dalam model. Hasil penelitian menunjukkan bahwa variabel yang paling signifikan untuk mengidentifikasi agroforestry dan monokultur kopi adalah kombinasi dari variabel spektral, biogeofisik, dan tutupan lahan, dengan kriteria terbaik adalah information gain. Penggunaan peta penggunaan dan tutupan lahan yang ada merupakan variabel yang paling berpengaruh dalam model. Dalam konteks ini, akurasi keseluruhan (OA) yang diperoleh adalah 84,65%, dengan akurasi kappa (KA) sebesar 82,60%.
Monitoring Forest Cover Change and Encroachment Risk Mapping Using the Normalized Difference Fraction Index (NDFI): A Case Study of Gunung HalimunSalak National Park, Indonesia Ahmad Fahrur Rizqi; Hartoyo, Adisti Permatasari Putri; Mursalina Nur Buana; Novia Damayanti; David Anderson Lubis; Yurico Bakhri
Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) Vol 15 No 6 (2025): Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (JPSL)
Publisher : Pusat Penelitian Lingkungan Hidup, IPB (PPLH-IPB) dan Program Studi Pengelolaan Sumberdaya Alam dan Lingkungan, IPB (PS. PSL, SPs. IPB)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jpsl.15.6.1060

Abstract

Gunung Halimun Salak National Park (GHSNP) is one of the most biodiversity-rich protected areas in Java, yet it remains highly vulnerable to deforestation and forest degradation. This study examines forest cover dynamics from 1994 to 2024 and projects village-level encroachment risk for 2034. Landsat 5 TM, Landsat 7 ETM+, and Landsat 8–9 OLI imagery were processed in Google Earth Engine to generate the Normalized Difference Fraction Index (NDFI) using spectral mixture analysis of GV, NPV, soil, and shade fractions. Changes in NDFI (ΔNDFI) were used to classify degradation, deforestation, regrowth, and intact forest. Encroachment risk mapping was modeled using a 3 × 3 kernel neighborhood with two analytical approaches: the sum of risk weight and the majority of risks around. Forest cover declined by 19,424 ha between 1994 and 2004, largely driven by illegal encroachment linked to governance uncertainty in 2003. An increase of 6,678 ha during 2004–2014 reflects the impact of restoration initiatives and strengthened area protection, although a subsequent decline of 1,992 ha occurred between 2014 and 2024 due to renewed encroachment. Model evaluation indicates low predictive performance for both kernel methods (Precision 4%). Despite this limitation, areas of elevated risk consistently appeared along forest edges near settlements and footpath access routes. Citorek Kidul was identified as the village most susceptible to encroachment in 2034. Improving the accuracy of encroachment prediction will require the integration of socio-economic drivers and advanced machine-learning approaches capable of capturing the complex and non-linear patterns of forest encroachment. 
Ecological Index and Aboveground Biomass Carbon Value on Burn SwampForests After Rehabilitation Sujatmoko, Sujarwo; Rum, Muhammad; Susanty, Farida Herry; Andriani, Susy; Sopan, Mohamad; Qirom, Muhammad Abdul
Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) Vol 15 No 6 (2025): Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (JPSL)
Publisher : Pusat Penelitian Lingkungan Hidup, IPB (PPLH-IPB) dan Program Studi Pengelolaan Sumberdaya Alam dan Lingkungan, IPB (PS. PSL, SPs. IPB)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jpsl.15.6.995

Abstract

Rehabilitation efforts were conducted in 2018 and 2020 to restore, maintain, and enhance forest and land functions following the 2015 fire on forest area with special purpose (KHDTK) Tumbang Nusa, Central Kalimantan. This study aims to determine the characteristics of stand structure, quantitative ecological values, aboveground biomass values, and preliminary projections of rehabilitation plant valuation in post-fire peat forest ecosystems. Study area was conducted in two rehabilitation blocks in 5 and 7 years old after rehabilitation. Vegetation analysis employed a nested sampling method, utilizing a plot size of 60 x 60 m, with Block I contain three plots (27 subplots) and Block II containing eight plots (72 subplots). Vegetation inventory and four carbon pool measurements were carried out on the understorey, seedlings, saplings, poles, and trees. The stand density value in Block I is 379 stems ha–1 with a basal area of 21.18 m2 ha–1 , while in Block II it is 503 stems ha–1 and 11.27 m2 ha–1 . The stands have good ecological value and stable vegetation, with a medium-scale species diversity level (H' = 1.53–2.80), a low-scale species dominance level (D = 0.10–0.42), commonly a high species richness value (R = 3.07–6.01), and medium to high species evenness values. The composition of rehabilitation plants are similar, but Block I has a higher proportional basal area of 3.72%. The projection of aboveground carbon biomass is 70.7 ton ha–1 and 77.7 ton ha–1 , respectively. As a preliminary study, the effectiveness of the rehabilitation valuation approach can be assessed by the productivity and quantitative ecology. 
Utilization of Biomass in Sustainable Integrated Dairy and Coffee Farming: CaseStudy Boyolali, Central Java, Indonesia Hutahaean, Lintje; Rustiadi, Ernan; Fauzi, Anas Miftah; Nurmalina, Rita; Rubiyo
Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) Vol 16 No 1 (2026): Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (JPSL)
Publisher : Pusat Penelitian Lingkungan Hidup, IPB (PPLH-IPB) dan Program Studi Pengelolaan Sumberdaya Alam dan Lingkungan, IPB (PS. PSL, SPs. IPB)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jpsl.16.1.1

Abstract

The agricultural sector plays a strategic role in improving economic sustainability and responding to environmental challenges. A sustainable agricultural approach based on the integration of coffee and dairy cattle is a potential solution to these challenges. This study aims to analyze financial feasibility by comparing two types of coffee and dairy cattle integration farming systems, namelytype 1 (existing coffee-dairy cattle integration) and type 2 (improved integration). The difference between the two types lies in the connectivity of input and output use in the integration system. The method used is financial feasibility analysis with investment criteria indicators in the form of NPV, IRR, Net B/C, and payback period. The research was conducted in Boyolali Regency. The resultsof the financial feasibility analysis show that the improved coffee and dairy cow integration type (type 2) is financially superior to type 1, with an NPV of IDR 1,714,402,922.83 and an IRR of 22%, far exceeding type 1 (IRR of 16%), with a payback period of 6 years and 8 months. This financial benefit came from lower costs for feed, energy, and fertilizer, as well as big economic gains from diversifyingproducts that came from making better use of waste. Using biodigester technology to turn biomass into energy is another way to cut down on greenhouse gas emissions from manure waste. These findings provide a strong basis for encouraging the implementation of improved coffee and dairy cow integration through a series of fiscal incentive policies and farmer assistance.
Spatial and Quantitative Analysis of Historical Pollution Incidents: Sulfur Dioxide Emissions from Copper Smelting during Japan's Modernization Era Takahashi, Takuya; Inoue, Kazuya
Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) Vol 15 No 6 (2025): Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (JPSL)
Publisher : Pusat Penelitian Lingkungan Hidup, IPB (PPLH-IPB) dan Program Studi Pengelolaan Sumberdaya Alam dan Lingkungan, IPB (PS. PSL, SPs. IPB)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jpsl.15.6.1051

Abstract

During Japan’s modernization and westernization over a century ago, copper mining and smelting became a key export industry. However, the resulting sulfur dioxide emissions caused significant damage to crops and forests. Due to the limited availability of historical environmental records, this study utilizes the atmospheric dispersion simulation tool AIST-ADMER, developed by the National Institute of Advanced Industrial Science and Technology, to reconstruct pollution patterns associated with the Besshi Copper Mine in Ehime Prefecture. We assess the plausibility of the simulated dispersion patterns by examining their correlation with historical records of environmental damage and compensation. The results reveal a moderate correlation between simulated sulfur dioxide concentrations and compensation levels, whereas the correlation with recorded damage is relatively weak. Regression analysis further indicates that compensation amounts are significantly associated with both concentration levels and the proportion of forest land use. Applying this model to counterfactual scenarios, we estimate that relocating the smelting facilities to alternative sites, such as a coastal onshore site or a mountainous inland area which could have increased compensation payments by approximately three and five times, respectively. These findings shed light on how corporate decisions shaped responses to environmental damage and compensation, highlighting the complex trade-offs companies faced in managing pollution under evolving social and environmental pressures. This research fills a significant gap in the literature by establishing a quantitative framework that links simulated pollution patterns with historical evidence, enabling a deeper understanding of past environmental impacts and corporate responses.
Evaluation of Leaf Spot and Blight Diseases in Mahogany (Swietenia mahagoni) Seedlings in Rumpin Nursery, Bogor Regency, Indonesia Islami, Naluri Siyasah; Istikorini, Yunik; Lelana, Neo Endra; Wulandari, Arum Sekar
Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) Vol 16 No 1 (2026): Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (JPSL)
Publisher : Pusat Penelitian Lingkungan Hidup, IPB (PPLH-IPB) dan Program Studi Pengelolaan Sumberdaya Alam dan Lingkungan, IPB (PS. PSL, SPs. IPB)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jpsl.16.1.25

Abstract

Seedling propagation in nurseries often faces problems such as disease attack. Leaf spot and blight are the main threats that usually hamper the growth of small-leaf mahogany (Swietenia mahagoni (L.) Jacq.) seedlings in the nursery. This study aims to determine the incidence and severity of disease, factors affecting the development of leaf spot and blight on small-leaf mahogany seedlings, and identify the causative pathogen. The research method included observations of disease incidence and severity in two sample plots representing the nursery with a sampling intensity of 10%. Leaf samples showing disease symptoms were isolated and tested for Koch’s Postulates. The result showed that the incidence of leaf spot and blight reached 95,44% and the disease severity was lower (44,72%). The environmental conditions at Rumpin Nursery, including high rainfall and humidity, as well as moderate temperatures (22-30 °C), favored the spread of disease. There were four types of fungal pathogens of leaf spot and blight on small-leaf mahogany seedlings, namely Pestalotiopsis sp., Rhizoctonia sp., Colletotrichum sp., and Bipolaris sp., with an incubation period of 1-2 days. This incubation period indicates rapid infectious ability under favorable environmental conditions.
Menilai Pemulihan Ekologis: Analisis Ekonomi Lingkungan terhadap Remediasi Tanah Terkontaminasi Minyak di Hutan Hujan Tropis Lubis, Abdillah; Bahruddin; Suwondo; Efriyeldi
Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) Vol 15 No 6 (2025): Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (JPSL)
Publisher : Pusat Penelitian Lingkungan Hidup, IPB (PPLH-IPB) dan Program Studi Pengelolaan Sumberdaya Alam dan Lingkungan, IPB (PS. PSL, SPs. IPB)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jpsl.15.6.1073

Abstract

The hydrocarbon contamination affects approximately 5.9 ha of soil in Sultan Syarif Hasyim Grand Forest Park (Tahura SSH), a tropical rainforest in Riau Province, Indonesia. This study aims to determine the costs required to rehabilitate petroleum-contaminated soil and evaluate the economic significance of ecological restoration in a 5.9 ha area designated in Tahura SSH. This study provides a novel economic framework for assessing ecological damage and guiding recovery in a hydrocarbon-impacted area, integrating the Replacement Cost Method (RCM) through restoration cost calculations and the Resource Equivalence Analysis (REA) to assess and compensate for environmental damage-related losses. The study results show that the three main remediation technologies selected, bioventing, bioaugmentation & biostimulation, and ex-situ landfarming, were used to remediate oil-contaminated soil in Tahura SSH. The highest remediation costs are exsitu landfarming, followed by bioaugmentation and biostimulation, and then bioventing. The ex-situ land farming method incurred the highest remediation costs. Nevertheless, it causes ecological harm in the SSH Tahura Area. REA determined that the area required to replace oil-contaminated land should be twice the baseline from 5.9 ha to 12.8 ha. Furthermore, the compensation paid by REA for environmental damage exceeded the initial assessment by 116.1% compared to using the Replacement Cost Method (Bioaugmentation & Biostimulation, Bioventing, and Ex-Situ Landfarming). This study offers stakeholders guidance on determining a fair environmental value for oil-contaminated soil. Future studies 
Optimizing DNA Extraction Methods from Leaf and Wood Tissues to Support Dipterocarp Conservation and Sustainable Forest Management Arrofaha, Nawwall; Rachmat, Henti Hendalastuti; Dwiyanti, Fifi Gus; Adinugroho, Wahyu Catur; Siregar, Iskandar Zulkarnaen; Kamal, Irsyad; Syaputra, Dhika; Salamah, Andi
Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) Vol 16 No 1 (2026): Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (JPSL)
Publisher : Pusat Penelitian Lingkungan Hidup, IPB (PPLH-IPB) dan Program Studi Pengelolaan Sumberdaya Alam dan Lingkungan, IPB (PS. PSL, SPs. IPB)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jpsl.16.1.13

Abstract

Dipterocarpaceae are economically important, contributing over 85% of Indonesia's timber exports. However, this crucial resource is increasingly threatened by illegal logging, habitat destruction, and the illegal timber trade, which jeopardize dipterocarp population. Furthermore, conservation efforts utilizing genetic and forensic techniques often encounter substantial challenges due to the complexities in DNA extraction protocol. To address this, the study aimed to enhance the efficiency of DNA extraction methodologies by comparing two methods: the modified cetyltrimethylammonium bromide (CTAB) and the Genomic DNA Mini Kit (Plant) from Geneaid Biotech Ltd. The research focused on leaf and wood samples from two species, spesifically Rubroshorea leprosula (Miq.) P.S.Ashton & J.Heck and Shorea laevis Ridl. For each of these species, five leaf and five wood samples were extracted using both methods. The quality of the DNA extraction was evaluated using electrophoresis and quantified with a Qubit fluorometer. Higher DNA concentrations were obtained with the modified CTAB method compared to the GeneAid kit for both R. leprosula and S. laevis, particularly in leaf tissue. The GeneAid kit consistently exhibited low DNA yield efficiency compared to the modified CTAB method for both species. Additionally, PCR amplification of both leaf and wood samples confirmed that the extracted DNA was suitable formolecular analyses. These findings not only contributed to laboratory applications but also served as practical tools for species identification and genetic conservation for sustainable forest management and law enforcement.

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