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Modeling Carbon Trade with Satellite Approach and AI Technology: A Sustainable Solution for REDD+ Scheme in Indonesia Haryono, Haryono; Rahman, Arief; Zainal, Rifki Fahrial; Santoso, Bagus Teguh; Endarto, Budi
West Science Nature and Technology Vol. 3 No. 01 (2025): West Science Nature and Technology
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsnt.v3i01.1804

Abstract

The increasing urgency to mitigate climate change has intensified the need for effective carbon trading mechanisms, particularly under the REDD+ scheme. This study explores the potential of integrating satellite technology, Geographic Information Systems (GIS), and Artificial Intelligence (AI) to develop a sustainable carbon trade model tailored to Indonesia’s unique environmental and policy landscape. The research focuses on deforestation hotspots in Kalimantan, Sumatra, and Papua, leveraging high-resolution satellite imagery and machine learning algorithms for precise carbon stock estimation. Results indicate significant deforestation trends, with an average annual loss of 1.2% of forest cover and 320 million metric tons of carbon over the past decade. AI-powered predictive models achieved 92% accuracy in identifying deforestation hotspots and estimating carbon stocks, underscoring their utility in enhancing Monitoring, Reporting, and Verification (MRV) systems. Policy analysis highlights critical gaps in enforcement and community participation. This study proposes a scalable and transparent carbon trade model that aligns with REDD+ objectives, fostering equitable and sustainable climate solutions for Indonesia.
Utilizing AI and Satellite Technology to Measure the Effectiveness of Carbon Trading in East Java Protected Forests Haryono, Haryono; Rahman, Arief; Zainal, Rifki Fahrial; Santoso, Bagus Teguh; Endarto, Budi
West Science Nature and Technology Vol. 3 No. 01 (2025): West Science Nature and Technology
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsnt.v3i01.1805

Abstract

This study investigates the effectiveness of utilizing Artificial Intelligence (AI) and Geographic Information Systems (GIS) for measuring the impact of carbon trading initiatives on East Java's protected forests. The research integrates satellite imagery, AI-driven land-use classification, and carbon stock analysis to evaluate the environmental, economic, and social outcomes of these programs. Key findings indicate a significant reduction in deforestation and an increase in carbon sequestration, driven by targeted reforestation efforts and financial incentives from carbon trading. Socioeconomic benefits, including enhanced community livelihoods and reduced reliance on unsustainable practices, further underscore the program's success. However, challenges such as leakage effects and data inconsistencies highlight areas requiring improvement. The study concludes that advanced technologies, when effectively integrated, offer transformative potential for sustainable forest management and carbon trading efficacy in Indonesia.
A Holistic Approach to Carbon Trading Based on AI, Blockchain, and Satellite Data: A Study on East Java Protected Forest Haryono, Haryono; Rahman, Arief; Zainal, Rifki Fahrial; Santoso, Bagus Teguh; Endarto, Budi
West Science Interdisciplinary Studies Vol. 3 No. 03 (2025): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v3i03.1803

Abstract

This study explores a holistic approach to carbon trading by integrating Artificial Intelligence (AI), blockchain technology, and Geographic Information Systems (GIS) to address challenges in managing East Java’s protected forests. AI models were utilized to estimate carbon stocks with high accuracy, while blockchain ensured transparent and secure carbon credit transactions. GIS analysis provided real-time monitoring of forest dynamics and identified high-priority zones for carbon trading. The integrated framework demonstrated significant improvements in efficiency, accuracy, and stakeholder trust compared to traditional methods. The study concludes that this approach is a scalable and effective solution for enhancing carbon trading systems and contributing to sustainable forest management in Indonesia.
Analysis of Blockchain Integration in Carbon Trade Management: A Perspective on Forest Cover and REDD+ Schemes in Indonesia Haryono, Haryono; Rahman, Arief; Zainal, Rifki Fahrial; Santoso, Bagus Teguh; Endarto, Budi
West Science Social and Humanities Studies Vol. 3 No. 03 (2025): West Science Social and Humanities Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsshs.v3i03.1806

Abstract

The integration of blockchain technology in carbon trade management offers transformative potential for improving transparency, monitoring, and efficiency in Indonesia's REDD+ schemes. This study employs a qualitative approach, analyzing data from three informants—a blockchain expert, an environmental policymaker, and a conservationist—using NVivo software for thematic analysis. Findings reveal that blockchain enhances transparency and trust, streamlines Monitoring, Reporting, and Verification (MRV) processes, and addresses challenges in carbon trade systems. However, barriers such as infrastructure gaps, high implementation costs, and regulatory ambiguities remain. The study underscores the need for targeted capacity building, pilot programs, and robust policy frameworks to enable effective blockchain adoption in Indonesia's carbon markets.
Integrative Blockchain for Transparency and Efficiency of Carbon Trade Marketing Model in Bromo-Tengger-Semeru Region Haryono, Haryono; Rahman, Arief; Zainal, Rifki Fahrial; Santoso, Bagus Teguh; Endarto, Budi
West Science Social and Humanities Studies Vol. 3 No. 03 (2025): West Science Social and Humanities Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsshs.v3i03.1807

Abstract

The integration of blockchain technology with Geographic Information Systems (GIS) offers an innovative solution for enhancing transparency and efficiency in carbon trade marketing. This study explores the development of an integrative blockchain-based carbon trade marketing model for the Bromo-Tengger-Semeru region, utilizing GIS analysis for spatial verification and dynamic monitoring of carbon stock. Results indicate significant carbon sequestration potential in the region, with high carbon stock zones and reforestation opportunities identified through GIS. The blockchain system improves transaction transparency, traceability, and efficiency through the use of smart contracts and decentralized ledgers. Stakeholder workshops demonstrated strong support for the proposed model, emphasizing its potential to overcome existing challenges in carbon trading. The integration of GIS and blockchain ensures spatial accuracy and enhances stakeholder confidence, making it a viable approach for scaling carbon trade initiatives. This study contributes to the advancement of sustainable carbon trade practices, offering a replicable model for other regions.
Apakah Profitabilitas Memoderasi Pengaruh Penghindaran Pajak Terhadap Nilai Perusahaan? Bukti Empiris dari Indonesia Arief Rahman; Ayu Tri Astuti
E-Jurnal Akuntansi Vol 32 No 3 (2022)
Publisher : Accounting Department, Economic and Business Faculty of Universitas Udayana in collaboration with the Association of Accounting Department of Indonesia, Bali Region

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/EJA.2022.v32.i03.p04

Abstract

The purpose of the study was to examine the effect of tax avoidance and audit quality on firm value with profitability as a moderating variable. Measurement of tax avoidance is carried out using the Effective Tax Rate (ETR). Meanwhile, audit quality uses a dummy indicator, namely the classification of the Big Four KAP auditors and KAP auditors Other than the Big Four and profitability is measured using Return on Assets (ROA). This study involved a sample of 54 companies that were registered on IDX in 2015-2019. The analysis technique used is Moderated Regression Analysis (MRA). The results showed that tax avoidance had no effect on firm value, although audit quality had a positive effect on firm value. The moderating variable for profitability affects the relationship between tax avoidance and firm value, but the moderating variable for profitability does not affect the relationship between audit quality and firm value. Keywords: Tax Avoidance; Profitability; Firm Value; Audit Quality.
EnglishExamination Of Factors Determining Transfer Price In Indonesian Mining Companies Arief Rahman; Ernawati Ernawati
E-Jurnal Akuntansi Vol 32 No 5 (2022)
Publisher : Accounting Department, Economic and Business Faculty of Universitas Udayana in collaboration with the Association of Accounting Department of Indonesia, Bali Region

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/EJA.2022.v32.i05.p07

Abstract

The purpose of this study was to examine the effect of firm size, leverage, tax planning, tunneling incentives, intangible assets, and multinationality on the decision to transfer pricing. The research was conducted on mining sector companies listed on the Indonesia Stock Exchange in 2015-2019 by applying multiple linier regression analysis. Samples were obtained by purposive sampling method. Based on the results of the hypotheses in this study, it shows that firm size, leverage, intangible assets, multinationality affect transfer pricing, whereas tax planning and tunneling incentives do not affect transfer pricing. The results have substantial implications for theory as well as practice, in understanding transfer pricing decision, particularly for mining companies. Keywords: Transfer Pricing; Leverage; Intangible Assets; Multinationality.
Perbandingan Algoritma LBP dan Cascading LBP-GLCM untuk Ekstraksi Fitur pada Citra Beras Rahman, Arief; Darnis, Febriyanti; Ansori, Yulian
KOMPUTEK Vol. 8 No. 2 (2024): Oktober
Publisher : Universitas Muhammadiyah Ponorogo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24269/jkt.v8i2.2962

Abstract

This study compares two image feature extraction algorithms: Gray Level Co-occurrence Matrix (GLCM) and a combination of Local Binary Pattern with GLCM (LBP GLCM), for rice image classification. The objective is to evaluate the effectiveness of both methods in generating features such as ASM, contrast, correlation, entropy, and energy, as well as to measure the computational time. The results show that the LBP GLCM algorithm significantly improves classification accuracy compared to pure GLCM, but requires 13-17 times longer computational time. While GLCM is more efficient in terms of time, its classification accuracy is relatively lower. These findings align with previous studies indicating that adding LBP to GLCM enhances classification performance. In conclusion, LBP GLCM is superior in accuracy, making it a better choice for applications that prioritize precise classification results. However, the trade-off in computational time should be considered, especially for applications requiring fast processing. These findings are relevant for further development in agriculture and image processing. 
Influence of Alkaline and Acidic Co-precipitation Media on Fe₃O₄/TiO₂ Photocatalyst Performance for the Photodegradation of Cypermethrin Nengsih, Sri; Rahman, Arief; Nur, Suardi
POSITRON Vol 15, No 1 (2025): Vol. 15 No. 1 Edition
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam, Univetsitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/positron.v15i1.92902

Abstract

The persistence of pesticide residues such as cypermethrin in water bodies has raised environmental concerns, necessitating the development of effective photocatalytic materials for their degradation. This study examines the influence of solvent-assisted magnetite synthesis on the structural, magnetic, and photocatalytic properties of Fe₃O₄/TiO₂ composites for cypermethrin degradation under UV light with a focus on a comparative approach between alkaline and acidic synthesis routes, which has not been extensively reported. Fe₃O₄ was synthesized via co-precipitation using NaOH and HCl to assess the impact of solvent conditions. Xray diffraction confirmed the spinel-phase structure in both samples, while SEM showed finer and more uniform particles in the NaOH-derived sample. VSM analysis revealed that Fe₃O₄–HCl exhibited higher saturation magnetization (Ms = 57.98 emu/g) but lower coercivity (Hc = 0.0206 T) than Fe₃O₄–NaOH (Ms = 41.26 emu/g; Hc = 0.0241 T), indicating synthesis-dependent magnetic properties. UV–Vis analysis identified a cypermethrin absorption peak at 220 nm, which was used to monitor degradation. The Fe₃O₄–NaOH:TiO₂ composite showed superior photocatalytic activity (31.98% degradation in 90 minutes) compared to Fe₃O₄– HCl:TiO₂ (22.86%). Kinetic modeling using the pseudo first-order equation yielded a higher rate constant for Fe₃O₄-NaOH:TiO₂ (k = 0.00172 min⁻¹; R² = 0.769), while Fe₃O₄–HCl:TiO₂ showed slower kinetics but better linearity (k = 0.00030 min⁻¹; R² = 0.9999). These results suggest that alkaline synthesis enhances particle morphology and charge transfer efficiency, improving photocatalytic performance. Therefore, Fe₃O₄–NaOH:TiO₂ represents a promising candidate for cypermethrin remediation in wastewater treatment.
Pencegahan Tindak Pidana Narkotika dan Bantuan Hukum di Desa Sindangsari, Kuningan Akhmaddhian, Suwari; Budiman, Haris; Hidayat, Sarip; Rahman, Arief; Rizal, Muhamad; Maulana, Pani; Bilhaq, Rhejan Gema Mahardika; Elvany, Virgin; Agustina, Vinda
Empowerment Vol. 6 No. 03 (2023): Empowerment
Publisher : Program Studi Ilmu Hukum Fakultas Hukum Universitas Kuningan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25134/empowerment.v6i03.8824

Abstract

Misuse of Narcotics and illegal drugs (narkoba) is a phenomenon that has long been experienced by the countries all over the world, including Indonesia. This is basically a transnational crime, considering the chain link of the drug misuse includes production and trade activities to the countryside. Considering that this crime is an expanding chain, it is necessary to have legal counseling about the dangers and prevention of narcotics and legal aid for all regions in Indonesia, including the Kuningan Regency. Provision of legal aid is one way to realize access to law and justice for the poor which is provided by the state on the mandate of the constitution. Several regulations regarding legal aid have been issued by the state through laws and implementing regulations as well as from the Supreme Court or the Constitutional Court through Supreme Court Regulations and Constitutional Court decisions. This article will describe systematically and scientifically which takes place in Kuningan Regency, Sindangsari Village of Sindangagung District. Based on the results of counseling there are some problems in preventing narcotics crime and implementing the provision of legal aid in the community which make the provision of legal aid to rural communities less effective, therefore, it is necessary to optimize the provision of legal aid to rural communities which is an idea to response this problem to realize the access to law and justice for rural communities, especially the poor.
Co-Authors -, Baidhawi - Achmad Affandi Achmad Hidayat Ade Mulada, Diman Ade Putra Adithya Sudiarno Adiwilaga, Mochamad Hisam Adlian, Adlian Ady Purnama Afisina, Annisa Agustina, Vinda Al Aziz, Muhammad Daffa Alfons Patandung Alhumary, Farid M Ali Djamhuri Almuqtadir, Thariq Alwi Fahruzy Nasution Amalina Nur Arifah Amardhani, Athaa Faishal Amir, Andi Besse Andi Gunawan Andika Andika ANDRI KURNIAWAN Angga Pratama Anggreni, Anggreni Annisa, Farah Ansori, Yulian Anwar, Rusli Apriliani, Rifka Dwi Arba Arba Arba, H.M. Ari Sujarwo Aries Saifudin Ariyanto, Renaldi Jafras Arwin, Zurhadi Asmaraningtyas, Kinanthi Trah Asuhadi, Sunarwan Athaya, Ahmad Faiq Aulia Ikhsan AW, Iselia Ayu Tri Astuti Azhima, Rizkan Aziza, Humairo bagus teguh santoso, bagus teguh Bagus, Alif Baidhawi Baidhawi Bambang Setiawan Banyuriatiga Banyuriatiga Benny Aprial M Bilhaq, Rhejan Gema Mahardika Bimantara, Alvin Blasefa, Terra Buana, Panji Jayadi Budi Endarto Cahyaningratri, Amina Jasmine Chomariah, Chomariah Danang Wahyu Muhammad Darnis, Febriyanti Daulay, Dicky Edwar Delano, M. Fabian Reinhard Destrinelli Destrinelli Desy Rahmadani, Ayu Devi, Priesta Mayestika Karunia Dewi Ayu Lestari Dewi Rachmawati Dewi, Dyah Santhi Dhomas Hatta Fudholi Dia, Riana Diana Purwitasari Dien Ajeng Fauziah Diman Ade Mulada, Diman Ade Dimas Adi Wibowo Dipa, Syahrul Ridha DUAKAJU, NELLA NAOMI Dwi, Inna Edi Purwanto Effendi, Rijal Ega Rizkiyah, Ega Elvany, Virgin Emi Maulani Endang Wahyati Yustina, Endang Wahyati Eny Enawaty Epi Supriyani Siregar Erlina Ernawati Ernawati Eva Ayuzar, Eva Fahrizal Fahrizal Faizatul Faridy Fakhrur Rozi, Fakhrur Farhan Abdillah, Maulana Farhany O., Asti Farhat, Yasir Fathoni, M. Yazid Feby Arma Putra Ferry Fatnanta Galih Febrianto Gamar Al Haddar Ghazali Syamni Gios Adhyaksa Gulo, Syukur Putra Abadi Hadri Kusuma Hapipah, Riska Harukmi, Anggun Pramesthi Haryono Haryono Hasanah, Sevia Hasnawati Heny Fitriani Hikmah, Syafaqoh Mahdiyatul Hurip Pratomo Husnawati Yahya Ibrizatun, Amin Ihsan Saddam Ahmadi Ilfiani, Pratiwi Dian Indarti, Adrian Intan Nuraini Iqbal Syauqi Mubarak Isma, Fera Hendra Istighfarin, Rahmatul Jamaluddin Jamaluddin Jamil, Muhamad Fauzi Jarir, Jarir Jayadi, Panji Jayadi Buana Jemmy Najoan, Jemmy Joko Triyono JT, Paska Juliansyah Harahap, Juliansyah Kartika Sari Kembaren, Emmia Tambarta khalid, Nakzim Kinanti, Ulfa kusrini, Desi Laila M. Rasyid Lalu Achmad Fathoni Lelanovita Sardianti, Andi Lestari, Nana Citrawati Liana, Nova M. Rizal M. Ulil Albab Surya Negara Madewi, Ketut Ayusia Mahdaliana, Mahdaliana Mahendra, Anindhita Satria Mahsina Mahsina, Mahsina Mahuda, Isnaini Mainisa, Mainisa Marcella Elwina Simandjuntak Margaret Stevani Maria G.M. Polii, Maria G.M. Mariestiara, Salsanabila Marlendi, Sri Marta Pramudita, Marta Martina Martina Marwansyah, Marwansyah Maryana Maryana Maryani, Anny Maryani, Anny Matondang, Abdul Rahman Maulana, Pani Maulana, Teuku Rian Mawaddah, Faizah Mawardati Mawardati Maylisa, Azizah Firdausy Mayseptyana, Annik Miftahus Sholihin Minokaura, Muh. Fachrul Mirasari, Rossy MS, Tasya Muhamad Yazid Bustomi Muhammad Habibie Al Hamzah Muhammad Hatta Muhammad Ibnu Fajar Muhammad Muhammad Muhammad, Raihan Muhdor, Ali Muhyiddin, Fajar Nugraha Muliani, M Mumtiza, Rizka Munawwar Khalil, Munawwar Murdianingsih, Dian Mursidah Mutammimul Ula Muzakir Nana, Cut Naufal, Muhammad Alifiro Neni Nurhayati Ngapiyatun, Sri Nila Mustika Aini Ningsih, Diah Wuriah Novitasari, Dita Dwi NP, Meliya Nur Aida, Nur Nur Aini Rakhmawati Nurdin, Muhammad Yusuf Nurmawanti, Nunung Nurul Ummi Nusa Sebayang Nyahu Rumbang Obeth, Ernita Oce Astuti Panca Kusuma, Bangbang Pandhu Rochman Suosa, Pandhu Rochman Panji Randilla Apriama Pangendra Pannyiwi, Rahmat Pertiwi, Dinda Dwi Anugrah Petrus Jacob Pattiasina Prabowo, Hendi Yogi Pranomo, Agung Prasetyo, Diknas Pratama, Ganang Raditya Pratiwi, Wike Priono, Joko Priyatna, Aufa Irsyad Puji Hariati Pujowaskito, Prihati Puspita Puspita Puspita, Della Putri, Malfa Liya Putri, Supanca Ade R., Echa Alfa Raharjo, Indarno Sugeng Rahendra Maya, Rahendra Rahman, Fadhilla Rahman, Taufikel Rahmanita, Dini Rakhmanita, R Rakhmanita, Rakhmanita Ramdhani, Muhammad Hanif Rani Rahmawati Ratna Sari Dewi Ratnawati, Yeni Repiyasa, I Wayan Restiatun, Restiatun Retno Widyaningrum, Retno Riani Riani, Riani Rifki Fahrial Zainal Rika Saraswati, Rika Rini Meiyanti Risma, Mauliza Rizal, Muhammad Ainur Rochyana, Mochamad Furqon Rohendi, Aulia Rosnina Rosnina, Rosnina Rukhayah, R. Siti Sahnan Sahnan Saiful Adhar salamah salamah Salsabila, Natasya Sanusi, Ruchan Saptiani, Anggun Sardianti, Andi Lelanovita Sari, Putri Dina Saridanti, Andi Lelanovita Sarip Hidayat, Sarip Saroyo Sarundayang, Jenneka Ika Sarwo, Budi Sastrayana, I Gede Ngurah Satibi, Syawal Satriawan, Hera Alvina Satriawansyah, Tri Shelly Arsy Cahyani Shinta Andriyani Sholah, Adam Fajrus Sholahudin, Sholahudin siddiq, Nakzim Khaliq Sika Azkia, Czidni Singkoh, Marina Flora Oktavine Siregar, Imanuddin Siswati, Endang Siti Khadijah Sofiah Nur Iradawaty SP, Dinda Sri Agustina, Sri Sri Gunani Partiwi Sri Mulyati sri nengsih, sri Sry Lestari Samosir Suardi Nur Sugiawiharja, Egi Suhardi, Rapon Yuniar Sukariyan, Sukariyan Sulistia, Indryanti Sulistiyaningsih, Nani Sumarmo Sumarmo SUMIATI, LILIK Suparno Susi Astuti Suwari Akhmaddhian syaddam, syaddam Syaeful Rohman, Pupung Syahputra, Guntur Adham Syibral Malasyi, Syibral T. Muhammad, Ashari T.W, Lila Irawati Tanjung, Aris Muda Tanjung, Yulia Tiara TAUFIKEL RAHMAN Teuku Muhammad Ashari Tinting S, Ruben Umi Laili Yuhana Utary, Baiq Ishariaty Wika Veri Ilhadi Veronika Widi Prabawasari Wahidar, Agung Wahyati, Endang Warto - Wartomo, Wartomo Wibi, Prasetyo Widyawati, Wahyu Win Kuara, Rezeki Winarni, Budi Winerungan, Shella Agnessy Jullyta Wirawan Putrayadi, Wirawan Wiwiek Wahyuningsih Wiwik Handayani Yasmin Aulia Ramadhini Yeni Ratnawati Yochanan, E. Yudiantoro, Ismanu Yurni, Irma Yusuf, Siti Agrippina Alodia Zainab Zakiyah Sanur, Haura Zlukhu, Anuarman Zulkifli