Taufik Iqbal Ramdhani

@brin.go.id

Research Center for Artificial Intelligence and Cyber Security
Badan Riset dan Inovasi Nasional

Taufik Iqbal Ramdhani


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https://researchid.co/taufikiqbalr

RESEARCH, TEACHING, or OTHER INTERESTS

Computer Engineering, Information Systems, Artificial Intelligence
21

Scopus Publications

75

Scholar Citations

4

Scholar h-index

2

Scholar i10-index

Scopus Publications

  • COMPARATIVE STUDY OF NIR-BASED MACHINE LEARNING FOR PREDICTING SOIL NUTRIENTS IN INDONESIAN FARMLANDS
    Adnan Adnan, Taufik Iqbal Ramdhani, Yaya Suryana, Abdul Aziz, Taslim Rochmadi, Amrullah Kamaruddin, Ninon Nurul Faiza
    Acta Technologica Agriculturae, 2026
    This study evaluates the efficacy of machine learning models for predicting soil nitrogen (N), phosphorus (P), and potassium (K) concentrations from near-infrared (NIR) spectral data (750–2499 nm). A comparative analysis was conducted on models from three distinct categories: linear-based, non-linear kernel-based, and neural network-based, using data from 145 soil samples collected across four Indonesian provinces. Regularised linear modelling performed best: Ridge Regression achieved R ²/MAE of 0.999/0.00005% for N-Total, 0.868/0.01408% for P-Total, and 0.763/0.01239% for K-Total. The non-linear SVR delivered moderate fit ( R ² = 0.821 for N-Total) but produced the lowest MAE for K (0.00829%) at lower explained variance ( R ² = 0.419). Neural network-based models underperformed the linear baselines. This study demonstrates that, for this dataset, a simpler regularised linear model outperformed more complex architectures, underscoring the critical role of rigorous model selection in developing accurate spectroscopic tools for precision agriculture. Future research could explore hybrid or ensemble methods to combine the strengths of different model types, potentially improving prediction accuracy and robustness.
  • CrowPotChain: Accelerating Crowdsource Reporting of Road Potholes Using AI and Blockchain Technology
    Taufik Iqbal Ramdhani, Riri Fitri Sari
    Smart Innovation Systems and Technologies, 2026
  • LHBKM: Lightweight Hierarchical Blockchain-Based Key Management in Dynamic MEC-Enabled IoT Networks
    Taufik Iqbal Ramdhani, Ruki Harwahyu, Riri Fitri Sari
    Proceedings of 2026 International Conference on Embedded Systems Mobile Communication and Computing Emc2 2026, 2026
    The proliferation of dynamic and mobile internet of things (IoT) applications, including the internet of vehicles (IoV), internet of drones (IoD), and internet of gadgets (IoG), has introduced new challenges in secure and scalable public key management. This paper proposes LHBKM, a lightweight hierarchical blockchain-based public key management framework for interconnected mobile IoT supported by mobile edge computing (MEC) adopting a three-tier hierarchy to localize registration/verification at the edge while preserving global consistency via hierarchical anchoring. Key-registration transactions are authenticated using Boneh–Lynn–Shacham (BLS) signatures, while we comparatively evaluate three hash candidates: Ascon, BLAKE3, and Keccak (SHA3). Results show that BLAKE3 provides better overall efficiency, reducing computation time by 76.47% versus Keccak while also lowering communication and storage costs by 17.60% and 15.98%, respectively. Future work will explore the integration of deep reinforcement learning to enable intelligent key caching and longterm storage optimization.
  • Smart Farming in Indonesia: Behavioural Study on Adoption of Internet-Based Fertilisation Systems
    Susilawati, Setia Sari Girsang, Pandu Laksono, Arlyna Budi Pustika, Yanti Rina Darsani, Dorkas Parhusip, Twenty Liana, Amelia Sebayang, Agus Suprihatin, Indra Sakti, Hasil Sembiring, Alfonso Sitorus, Jeannette Maryanty Lumban Tobing, Tommy Purba, Taufik Iqbal Ramdhani, Yudha Purbawa, Novia Chairuman
    Acta Technologica Agriculturae, 2025
    Providing precise fertilisation guidance is vital for improving productivity and reducing environmental risks, yet the adoption of precision fertiliser systems remains low. The study investigates farmers’ intentions to adopt an Internet-based rice fertiliser information system across three agroecosystems: irrigated (Yogyakarta), rainfed (North Sumatra), and tidal (Central Kalimantan), with 100 farmers from each region. Applying an extended version of the technology acceptance model and using PLS-SEM analysis, the findings showed that perceived usefulness, perceived ease of use, and social norms are key determinants influencing individuals’ intention to adopt. Institutional trust also promotes adoption, while experience has no significant effect. These findings highlight the importance of trust and targeted training to boost farmers’ digital engagement with precision fertilisation technologies.
  • Quantitative landslide risk analysis with limited dataset by leveraging geospatial approaches in Indonesia
    Dian Nuraini Melati, Astisiasari Astisiasari, Raditya Panji Umbara, Wisyanto Wisyanto, Sukristiyanti Sukristiyanti, Yukni Arifianti, Syakira Trisnafiah, Trinugroho Trinugroho, Taufik Iqbal Ramdhani, Ahmad Luthfi Hadiyanto, Argo Galih Suhadha, Diyah Krisna Yuliana, Muhammad Iqbal Habibie, Ritha Riyandari, Jarot Mulyo Semedi, Guruh Samodra
    Natural Hazards, 2025
  • Landslide exposure analysis by utilizing big geodata in Bogor area, West Java Province of Indonesia
    Astisiasari Astisiasari, Wisyanto Wisyanto, Dian Melati, Sukristiyanti Sukristiyanti, Raditya Umbara, Yukni Arifianti, Trinugroho Trinugroho, Lian Andikasari, Taufik Ramdhani
    Journal of the Bulgarian Geographical Society, 2025
    Landslide exposure is an adept approach to measuring the consequences of a landslide hazard on elements at risk. Landslides in the Bogor area, Province of West Java, Indonesia, have increased in number and consequences since 2015. The Bogor area also has a fairly large population that may aggravate the impact. Accordingly, this study aims to measure the landslide exposures over two substantial elements (i.e., population and land use). The actual resources for these exposed elements are available from the open-access geodata and the Google Earth Engine (GEE) platform. For the land use classification, this study employs two robust machine-learning (ML) algorithms on a GEE-based Object-based Image Analysis (OBIA), i.e., Random Forest (RF) and Gradient Tree Boosting (GTB). Moreover, the population data were retrieved from WorldPop estimates. Landslide exposures were then analyzed through an overlay between these two elements with a landslide hazard map sourced from the former study. The results show that in 2020, the Bogor area had an exposed population of 885,353 people, with Bogor Selatan District having the highest exposed population (135,475 people). Moreover, in 2021, the Bogor area had a total exposed land use reaching 347.9 km2, with built-up area having the most extensive, reaching 45.9% of the total exposed area. Here, Sukajaya District had the largest exposed land use (39.1 km2). This study is expected to reach multifaceted entities that contribute to strengthening landslide risk reduction. Through this spatial awareness of the highly exposed areas to landslides, mitigation measures can be taken accordingly.
  • Enhancing Maize Germplasm Selection for Genebanks: A Decision Support System Combining Shannon-Weaver Diversity Index and Machine Learning
    Adnan Adnan, Yaya Suryana, Abdul Aziz, Taslim Rochmadi, Arie Rakhman Hakim, Andari Risliawati, Arifuddin Kasim, Fahrodji Fahrodji, Amrullah Kamaruddin, Wenny Oktaviani, Laela Nuraini, Anugerah Fitri Amalia, Nizam Ghazali, Adim Hadi, Taufik Iqbal Ramdhani, Puji Lestari, Willy Bayuardi Suwarno, Trikosoemaningtyas Trikosoemaningtyas, Sobir Sobir
    International Journal of Design and Nature and Ecodynamics, 2024
    While core collections offer various advantages, achieving a balance between representing genetic diversity and ensuring the practical manageability of the entire genebank collection is crucial.This study investigated the utility of the Shannon-Weaver diversity index and machine learning as a support system for the acceptability of new maize accessions into the genebank collection.This study examined 1279 maize germplasm accessions from the Agricultural Genebank Indonesia.The maize germplasm collection was divided into two parts.The first part, namely subset A, contains 600 accessions, which acted as original collections and were randomly selected for calculating the diversity values in each kernel character using the Shannon-Weaver diversity index.The second part, subset B, consisting of 679 accessions, was used to determine whether each accession was similar or different from subset A using an Excel macro-based application built by the authors.Principal component analysis (PCA) and Mahalanobis distances were used in the first step to identify outliers in data points with nine independent variables, namely kernel type, kernel color, presence of white cap, mottled type, kernel upper surface shape, kernel weight, kernel length, width, and thickness.Seventeen outlier samples, detected through PCA and Mahalanobis distances, were intentionally excluded from the dataset to ensure the integrity of subsequent machine learning analyses.The subset B was then divided into two parts to perform conventional and novel machine learning, i.e., linear discriminant analysis (LDA) and Tabnet.The results of this study show that the model's accuracy of LDA and TabNet were 89.36% and 86.4%, respectively.By integrating the Shannon-Weaver diversity index and machine learning methodologies, this research offers a comprehensive decision support system for guiding the acceptance of new maize accessions.The proposed system implies optimizing genebank strategies for the integrity and adaptability of maize germplasm collections.
  • A comparative evaluation of landslide susceptibility mapping using machine learning-based methods in Bogor area of Indonesia
    Dian Nuraini Melati, Raditya Panji Umbara, Astisiasari Astisiasari, Wisyanto Wisyanto, Syakira Trisnafiah, Trinugroho Trinugroho, Firman Prawiradisastra, Yukni Arifianti, Taufik Iqbal Ramdhani, Samsul Arifin, Maria Susan Anggreainy
    Environmental Earth Sciences, 2024
  • SambalChain: Revolutionizing the Indonesian Chili Paste Supply Chain through Blockchain for Enhanced Traceability and Authenticity
    Muhammad Fajar Sidiq, Taufik Iqbal Ramdhani, Akbari Indra Basuki
    2nd International Symposium on Information Technology and Digital Innovation Creative Trends in Sustainable Information Technology Design and Innovation Isitdi 2024, 2024
    The Indonesian chili paste market, vital to both local and global cuisines, faces challenges such as adulteration, counterfeiting, and quality inconsistency that jeopardize consumer health and reduce market trust. Traditional supply chain management methods fail to adequately address these issues due to their fragmented nature and lack of robust traceability. To overcome these hurdles, this paper introduces SambalChain, a novel blockchain-based system designed specifically for the Indonesian chili paste industry. SambalChain utilizes Hyperledger Fabric to create a secure, decentralized platform that ensures the traceability and authenticity of each spice, which is crucial for preserving the unique characteristics and quality of chili paste. This system enhances transparency by documenting every transaction on the blockchain, from spice procurement to final product distribution. Using smart contracts, SambalChain automates compliance with food safety regulations, quality checks, and payment processes, significantly reducing the potential for fraud while improving operational efficiency. This paper details the architecture and the implementation of SambalChain, demonstrating its impact on the chili paste supply chain. Performance tests indicate that blockchain integration slightly increases response times, particularly under high-load conditions, significantly enhancing product traceability and security. It concludes with discussions on potential applications of this model in other sectors of Indonesian agriculture, aiming to set new standards for food safety and transparency.
  • Secure Vehicle Tracking Using Blockchain and IoV
    Akbari Indra Basuki, Muhammad Fajar Sidiq, Taufik Ibnu Salim, Arief Indriarto Haris, Taufik Iqbal Ramdhani, Ibrahim Danial Bisulthon
    Icsmech 2024 1st International Conference on Smart Mechatronics Transformative Innovations in Smart Mechatronics Bridging AI Robotics and Lot for A Sustainable Future, 2024
    Vehicle tracking has become a mandatory feature in modern mobility. Nonetheless, the ownership and licensing rights of tracking data are mostly unclear or beyond the authority of the vehicle owners. This paper proposed a self-managed blockchain-driven vehicle tracking that considers the owner as the central actor who owns and authorizes vehicle trajectory data. We use data partitioning schema to encrypt vehicle trajectory data and store them in distributed storage. The implementation takes the form of a system service run within the Internet-on-Vehicle (IoV) system. The proposed method is secure against brute-force attacks since each data partition has its unique password. In addition, the encryption schema enables a flexible licensing authority for the owner without sharing the entire trajectory data. The proposed method is affordable requiring only 328 hex digits per transaction that result in 0.5 and 3 USD monthly fee for hourly recap using Celo and Polygon networks.
  • Utilization of Frequency Ratio and Logistic Regression Model for Landslide Susceptibility Mapping in Bogor Area
    Raditya Panji Umbara, Dian Nuraini Melati, Astisiasari, Wisyanto, Syakira Trisnafiah, Trinugroho, Yukni Arifianti, Firman Prawiradisastra, Taufik Iqbal Ramdhani, Samsul Arifin, Maria Susan Anggreainy
    International Journal on Advanced Science Engineering and Information Technology, 2024
  • Mo-BAPER: A Modified TabNet Employing Global Average Pooling for Bogor Area Landslide Prediction
    Taufik Iqbal Ramdhani, Raditya Panji Umbara, Dian Nuraini Melati, Ninon Nurul Faiza, Yuni Arti, Astisiasari, Wisyanto, Yukni Arifianti, Sukristiyanti, Syakira Trisnafiah, Trinugroho, Argo Galih Suhadha
    2024 IEEE International Conference on Aerospace Electronics and Remote Sensing Technology Icares 2024 Proceedings, 2024
  • Predictive soil nutrient modeling with spectral data and machine learning in four major Indonesian Provinces located on the island of java
    T I Ramdhani, Adnan, Y Suryana, T Rochmadi, A Aziz, A Kamaruddin, N Ghazali, A Hadi, W Oktaviani, S V Budiwati, A R Hakim, Fahrodji, L Nuraini
    Iop Conference Series Earth and Environmental Science, 2024
  • Approximation-based homomorphic encryption for secure and efficient blockchain-driven watermarking service
    Didi Rosiyadi, Akbari Indra Basuki, Taufik Iqbal Ramdhani, Heru Susanto, Yusnan Hasani Siregar
    International Journal of Electrical and Computer Engineering, 2023
  • CFPChain: An Optimization of Research Funding Selection System Employing A Consortium Blockchain Based Approach
    Taufik Iqbal Ramdhani, Akbari Indra Basuki, Heru Susanto, Raditya Panji Umbara, Samsul Arifin, Ninon Nurul Faiza
    Proceedings 2023 10th International Conference on Computer Control Informatics and Its Applications Exploring the Power of Data Leveraging Information to Drive Digital Innovation Ic3ina 2023, 2023
  • BC-MTD: Blockchain-driven Moving Target Defense for Secure Vehicle Access
    Muhammad Fajar Sidiq, Akbari Indra Basuki, Taufik Iqbal Ramdhani, Iwan Setiawan, Arief Indriarto Haris, Didi Rosiyadi, Heru Susanto, Taufik Ibnu Salim
    Proceeding 2023 International Conference on Radar Antenna Microwave Electronics and Telecommunications Empowering Global Progress Innovative Electronic and Telecommunication Solutions for A Sustainable Future Icramet 2023, 2023
  • The PROPER program evaluation to support the development of a national life cycle inventory database: recommendations
    A I Yanuar, Nadirah, B Rustianto, H Bahua, Z Murti, R Herdioso, I Z Kurniawati, M L D Wardani, N R Ariyani, A W Sani, H Febriansyah, T I Ramdhani
    Iop Conference Series Earth and Environmental Science, 2023
  • Environmental challenge of landslide in geothermal areas: an introductory study
    R Riyandari, Astisiasari, R P Umbara, D N Melati, Wisyanto, Trinugroho, Y Arifianti, F Prawiradisastra, S Trinafsiah, T I Ramdhani, S Arifin, M S Anggreainy
    Iop Conference Series Earth and Environmental Science, 2023
  • Accelerating Encrypted Watermarking using Wavelet Transform and CKKS Homomorphic Encryption
    Akbari Basuki, Iwan Setiawan, Didi Rosiyadi, Taufik Iqbal Ramdhani, Heru Susanto
    ACM International Conference Proceeding Series, 2022
  • Artificial intelligence, blockchain framework, cyberthreat defenses of resilient digital ecosystems
    Heru Susanto, Mohammad Qawiul Azim, Leu Fang-Yie, Alifya Kayla Shafa Susanto`, Desi Setiana, Fahmi Ibrahim, Akbari Indra Basuki, Taufik Iqbal Ramdhani, Iwan Setiawan, Budhi Riyanto, Rd Angga Ferianda, Arief Indriarto Haris, Raden Muhammad Taufik Yuniantoro, Ulaganathan Subramanian
    Handbook of Research on Artificial Intelligence and Knowledge Management in Asia S Digital Economy, 2022
  • Designing Service Architecture Platform using SCSE Framework for National Archive System Based on OAIS and Microservice Modeling
    Ninon Nurul Faiza, Suhardi, Taufik Iqbal Ramdhani
    Proceeding 2022 International Symposium on Information Technology and Digital Innovation Technology Innovation During Pandemic Isitdi 2022, 2022

RECENT SCHOLAR PUBLICATIONS

  • LHBKM: Lightweight Hierarchical Blockchain-Based Key Management in Dynamic MEC-Enabled IoT Networks
    TI Ramdhani, R Harwahyu, RF Sari
    2026 International Conference on Embedded Systems, Mobile Communication and … , 2026
    2026
  • Smart farming in Indonesia: behavioural study on adoption of internet-based fertilisation systems.
    Susilawati, SS Girsang, P Laksono, AB Pustika, YR Darsani, D Parhusip, ...
    2025
  • Landslide exposure analysis by utilizing big geodata in Bogor area, West Java Province of Indonesia
    A Astisiasari, W Wisyanto, D Melati, S Sukristiyanti, R Umbara, Y Arifianti, ...
    Journal of the Bulgarian Geographical Society 53, 119-138 , 2025
    2025
  • Quantitative landslide risk analysis with limited dataset by leveraging geospatial approaches in Indonesia
    DN Melati, A Astisiasari, RP Umbara, W Wisyanto, S Sukristiyanti, ...
    Natural Hazards 121 (17), 20453-20487 , 2025
    2025
  • Evaluasi Kualitas Website dan Peralatan yang Digunakan pada Rekrutmen Anggota Polri dalam Rangka Mewujudkan SDM Polri yang Unggul
    H Raslin, A Yusuf, TI Ramdhani
    Jurnal Litbang Polri 28 (2), 110-137 , 2025
    2025
  • CrowPotChain: Accelerating Crowdsource Reporting of Road Potholes Using AI and Blockchain Technology
    TI Ramdhani, RF Sari
    International Conference on Information and Communication Technology for … , 2025
    2025
  • Predictive soil nutrient modeling with spectral data and machine learning in four major Indonesian Provinces located on the island of java
    TI Ramdhani, Adnan, Y Suryana, T Rochmadi, A Aziz, A Kamaruddin, ...
    IOP Conference Series: Earth and Environmental Science 1419 (1), 012007 , 2024
    2024
  • Secure Vehicle Tracking Using Blockchain and IoV
    AI Basuki, MF Sidiq, TI Salim, AI Haris, TI Ramdhani, ID Bisulthon
    2024 IEEE International Conference on Smart Mechatronics (ICSMech), 255-259 , 2024
    2024
    Citations: 1
  • Mo-BAPER: A Modified TabNet Employing Global Average Pooling for Bogor Area Landslide Prediction
    TI Ramdhani, RP Umbara, DN Melati, NN Faiza, Y Arti, Y Arifianti, ...
    2024 IEEE International Conference on Aerospace Electronics and Remote … , 2024
    2024
  • SambalChain: Revolutionizing the Indonesian Chili Paste Supply Chain through Blockchain for Enhanced Traceability and Authenticity
    MF Sidiq, TI Ramdhani, AI Basuki
    2024 2nd International Symposium on Information Technology and Digital … , 2024
    2024
  • Kajian arsitektur berlapis untuk pengembangan aplikasi dalam mendukung pembangunan aplikasi di pemerintahan Provinsi Jawa Barat
    TI Ramdhani
    Creative Research Journal 10 (01), 17-26 , 2024
    2024
    Citations: 4
  • Spatial-based landslide vulnerability index assessment in Bogor area, Indonesia
    S Trisnafiah, T Trinugroho, A Astisiasari, R Riyandari, MP Handayani, ...
    Geosfera Indonesia 9 (1), 16-28 , 2024
    2024
    Citations: 3
  • Enhancing Maize Germplasm Selection for Genebanks: A Decision Support System Combining Shannon-Weaver Diversity Index and Machine Learning
    A Adnan, Y Suryana, A Aziz, T Rochmadi, AR Hakim, A Risliawati, ...
    Journal homepage: http://iieta. org/journals/ijdne 19 (2), 629-637 , 2024
    2024
  • Utilization of Frequency Ratio and Logistic Regression Model for Landslide Susceptibility Mapping in Bogor Area.
    RP Umbara, DN Melati, S Trisnafiah, Y Arifianti, F Prawiradisastra, ...
    International Journal on Advanced Science, Engineering & Information … , 2024
    2024
    Citations: 4
  • CFPChain: Optimalisasi Sistem Seleksi Pendanaan Riset BRIN Menggunakan Pendekatan Berbasis Konsorsium Blockchain
    TI Ramdhani, NN Faiza, M Wulandari, AD Nastiti, H Kurniawan
    Jurnal Teknologi Informasi Dan Ilmu Komputer 11 (1), 27-36 , 2024
    2024
    Citations: 4
  • A comparative evaluation of landslide susceptibility mapping using machine learning-based methods in Bogor area of Indonesia
    DN Melati, RP Umbara, A Astisiasari, W Wisyanto, S Trisnafiah, ...
    Environmental Earth Sciences 83 (3), 86 , 2024
    2024
    Citations: 27
  • Environmental challenge of landslide in geothermal areas: an introductory study
    R Riyandari, Astisiasari, RP Umbara, DN Melati, Wisyanto, Trinugroho, ...
    IOP Conference Series: Earth and Environmental Science 1266 (1), 012036 , 2023
    2023
    Citations: 1
  • BC-MTD: Blockchain-driven Moving Target Defense for Secure Vehicle Access
    MF Sidiq, AI Basuki, TI Ramdhani, I Setiawan, AI Haris, D Rosiyadi, ...
    2023 International Conference on Radar, Antenna, Microwave, Electronics, and … , 2023
    2023
    Citations: 3
  • CFPChain: An Optimization of Research Funding Selection System Employing A Consortium Blockchain Based Approach
    TI Ramdhani, AI Basuki, H Susanto, RP Umbara, S Arifin, NN Faiza
    2023 International Conference on Computer, Control, Informatics and its … , 2023
    2023
    Citations: 1
  • Approximation-based homomorphic encryption for secure and efficient blockchain-driven watermarking service
    D Rosiyadi, AI Basuki, TI Ramdhani, H Susanto, YH Siregar
    Int. J. Electr. Comput. Eng.(IJECE) 13 (4), 4388 , 2023
    2023
    Citations: 6

MOST CITED SCHOLAR PUBLICATIONS

  • A comparative evaluation of landslide susceptibility mapping using machine learning-based methods in Bogor area of Indonesia
    DN Melati, RP Umbara, A Astisiasari, W Wisyanto, S Trisnafiah, ...
    Environmental Earth Sciences 83 (3), 86 , 2024
    2024
    Citations: 27
  • Artificial intelligence, blockchain framework, cyberthreat defenses of resilient digital ecosystems
    H Susanto, MQ Azim, L Fang-Yie, AKS Susanto, D Setiana, F Ibrahim, ...
    Handbook of research on artificial intelligence and knowledge management in … , 2023
    2023
    Citations: 16
  • Approximation-based homomorphic encryption for secure and efficient blockchain-driven watermarking service
    D Rosiyadi, AI Basuki, TI Ramdhani, H Susanto, YH Siregar
    Int. J. Electr. Comput. Eng.(IJECE) 13 (4), 4388 , 2023
    2023
    Citations: 6
  • Kajian arsitektur berlapis untuk pengembangan aplikasi dalam mendukung pembangunan aplikasi di pemerintahan Provinsi Jawa Barat
    TI Ramdhani
    Creative Research Journal 10 (01), 17-26 , 2024
    2024
    Citations: 4
  • Utilization of Frequency Ratio and Logistic Regression Model for Landslide Susceptibility Mapping in Bogor Area.
    RP Umbara, DN Melati, S Trisnafiah, Y Arifianti, F Prawiradisastra, ...
    International Journal on Advanced Science, Engineering & Information … , 2024
    2024
    Citations: 4
  • CFPChain: Optimalisasi Sistem Seleksi Pendanaan Riset BRIN Menggunakan Pendekatan Berbasis Konsorsium Blockchain
    TI Ramdhani, NN Faiza, M Wulandari, AD Nastiti, H Kurniawan
    Jurnal Teknologi Informasi Dan Ilmu Komputer 11 (1), 27-36 , 2024
    2024
    Citations: 4
  • Spatial-based landslide vulnerability index assessment in Bogor area, Indonesia
    S Trisnafiah, T Trinugroho, A Astisiasari, R Riyandari, MP Handayani, ...
    Geosfera Indonesia 9 (1), 16-28 , 2024
    2024
    Citations: 3
  • BC-MTD: Blockchain-driven Moving Target Defense for Secure Vehicle Access
    MF Sidiq, AI Basuki, TI Ramdhani, I Setiawan, AI Haris, D Rosiyadi, ...
    2023 International Conference on Radar, Antenna, Microwave, Electronics, and … , 2023
    2023
    Citations: 3
  • National archival platform system design using the microservice-based service computing system engineering framework
    TI Ramdhani, NN Faiza
    Computer Science and Information Technologies 4 (2), 95-105 , 2023
    2023
    Citations: 3
  • Accelerating encrypted watermarking using wavelet transform and ckks homomorphic encryption
    A Basuki, I Setiawan, D Rosiyadi, TI Ramdhani, H Susanto
    Proceedings of the 2022 International Conference on Computer, Control … , 2022
    2022
    Citations: 2
  • Secure Vehicle Tracking Using Blockchain and IoV
    AI Basuki, MF Sidiq, TI Salim, AI Haris, TI Ramdhani, ID Bisulthon
    2024 IEEE International Conference on Smart Mechatronics (ICSMech), 255-259 , 2024
    2024
    Citations: 1
  • Environmental challenge of landslide in geothermal areas: an introductory study
    R Riyandari, Astisiasari, RP Umbara, DN Melati, Wisyanto, Trinugroho, ...
    IOP Conference Series: Earth and Environmental Science 1266 (1), 012036 , 2023
    2023
    Citations: 1
  • CFPChain: An Optimization of Research Funding Selection System Employing A Consortium Blockchain Based Approach
    TI Ramdhani, AI Basuki, H Susanto, RP Umbara, S Arifin, NN Faiza
    2023 International Conference on Computer, Control, Informatics and its … , 2023
    2023
    Citations: 1
  • LHBKM: Lightweight Hierarchical Blockchain-Based Key Management in Dynamic MEC-Enabled IoT Networks
    TI Ramdhani, R Harwahyu, RF Sari
    2026 International Conference on Embedded Systems, Mobile Communication and … , 2026
    2026
  • Smart farming in Indonesia: behavioural study on adoption of internet-based fertilisation systems.
    Susilawati, SS Girsang, P Laksono, AB Pustika, YR Darsani, D Parhusip, ...
    2025
  • Landslide exposure analysis by utilizing big geodata in Bogor area, West Java Province of Indonesia
    A Astisiasari, W Wisyanto, D Melati, S Sukristiyanti, R Umbara, Y Arifianti, ...
    Journal of the Bulgarian Geographical Society 53, 119-138 , 2025
    2025
  • Quantitative landslide risk analysis with limited dataset by leveraging geospatial approaches in Indonesia
    DN Melati, A Astisiasari, RP Umbara, W Wisyanto, S Sukristiyanti, ...
    Natural Hazards 121 (17), 20453-20487 , 2025
    2025
  • Evaluasi Kualitas Website dan Peralatan yang Digunakan pada Rekrutmen Anggota Polri dalam Rangka Mewujudkan SDM Polri yang Unggul
    H Raslin, A Yusuf, TI Ramdhani
    Jurnal Litbang Polri 28 (2), 110-137 , 2025
    2025
  • CrowPotChain: Accelerating Crowdsource Reporting of Road Potholes Using AI and Blockchain Technology
    TI Ramdhani, RF Sari
    International Conference on Information and Communication Technology for … , 2025
    2025
  • Predictive soil nutrient modeling with spectral data and machine learning in four major Indonesian Provinces located on the island of java
    TI Ramdhani, Adnan, Y Suryana, T Rochmadi, A Aziz, A Kamaruddin, ...
    IOP Conference Series: Earth and Environmental Science 1419 (1), 012007 , 2024
    2024