IKN Research Group

Publications

Our Publications

2024

  1. Implementation of Hybrid Bat Algorithm-Ensemble on Human Oral Bioavailability Prediction of Drug Candidate, M.F. Wirasantoso, Hasmawati, I. Kurniawan, 2024 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS).
  2. Prediction of Tuberculosis on HIV Patients Based on Gene Expression Data Using Grey Wolf Optimization-Support Vector Machine, H.A. Fatihah, Hasmawati, I. Kurniawan, 2024 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS).
  3. Implementation of Camel Algorithm-Ensemble Method for Tuberculosis Detection on HIV Patients based on Gene Expression Data, A.M.E. Janarwati, Hasmawati, I. Kurniawan, 2024 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS).
  4. Implementation of Hybrid Bat Algorithm-Ensemble on Side Effect Prediction: Case Study Metabolism and Nutrition Disorders, D.R. Ahmad, Jondri, I. Kurniawan, 2024 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS).
  5. Ensemble Learning in QSAR: Unveiling Insights into PTP1B Inhibitors for Diabetes Mellitus Treatment, M.A.R. Bhadrika, A. Khoirunnisa, I. Kurniawan, 2023 International Conference on Artificial Intelligence, Blockchain, Cloud Computing, and Data Analytics (ICoABCD).
  6. Predicting Childhood Diabetes from Microarray Data: A Cuckoo Search Algorithm – Support Vector Machine Approach, A.A. Nasution, A. Aditsania, I. Kurniawan, 2023 International Conference on Artificial Intelligence, Blockchain, Cloud Computing, and Data Analytics (ICoABCD).
  7. Cuckoo Search-Driven Optimization of Artificial Neural Networks for Accurate Fingerprint-Based Toxicity Prediction, R.R. Rizwandy, A. Aditsania, I. Kurniawan, 2023 International Conference on Artificial Intelligence, Blockchain, Cloud Computing, and Data Analytics (ICoABCD).
  8. Improvement of Imbalanced Data Handling: A Hybrid Sampling Approach by using Adaptive Synthetic Sampling and Tomek links, F. Nhita, Adiwijaya, I. Kurniawan, 2023 Eighth International Conference on Informatics and Computing (ICIC).

2023

  1. Implementation of the Grey Wolf Algorithm in Optimization of Artificial Neural Network Method for Fingerprint-Based Toxicity Prediction, M.F. Aditya, A. Aditsania, I. Kurniawan, 2023 6th International Conference of Computer and Informatics Engineering (IC2IE).
  2. Performance and Statistical Evaluation of Three Sampling Approaches in Handling Binary Imbalanced Data Sets, F. Nhita, Adiwijaya, I. Kurniawan, 2023 International Conference on Data Science and Its Applications (ICoDSA).
  3. Implementation of SMILES2Vec-based LSTM for Predicting Drug Side Effects: Case Study of Hepatobiliary Disorder, A.F. Karimah, A.M Afinda, I. Kurniawan, 2023 International Conference on Data Science and Its Applications (ICoDSA).
  4. Gated Recurrent Unit with SMILES2Vec-based Descriptor for Predicting Drug Side Effects: Case Study of Hepatobiliary Disorders, A.M Afinda, A.F. Karimah, I. Kurniawan, 2023 International Conference on Data Science and Its Applications (ICoDSA).
  5. Medical Image-based Prediction of Brain Tumor by Using Convolutional Neural Network Optimized by Cuckoo Search Algorithm, F.M. Azizy, J. Jondri, I. Kurniawan, 2023 11th International Conference on Information and Communication Technology (ICoICT).
  6. Implementation of Ant Colony Optimization – Artificial Neural Network in Predicting the Activity of Indenopyrazole Derivative as Anti-Cancer Agent, I. Kurniawan, N. Kamil, A. Aditsania, E.B. Setiawan, Jurnal Online Informatika, vol. 8 issue 1 (2023) pp. 80-90.
  7. Implementation of Gravitational Search Algorithm – Ensemble in Predicting of Drug Side Effect: Case Study Hepatobiliary Disorders, M.R. Wiliatama, R.R. Septiawan, I. Kurniawan, 2023 International Conference on Computer Science, Information Technology and Engineering (ICCoSITE) (2023).
  8. Prediction of Human β-secretase 1 (BACE-1) Inhibitors for Alzheimer Therapeutic Agent by Using Fingerprint-based Neural Network Optimized by Bat Algorithm, A.F. Nugroho, R.R. Septiawan, I. Kurniawan, 2023 International Conference on Computer Science, Information Technology and Engineering (ICCoSITE) (2023).
  9. Valorization of Salmo salar Skin Waste for the Synthesis of Angiotensin Converting Enzyme-1 (ACE1) Inhibitory Peptides, H.S.H. Munawaroh, G.G. Gumilar, S.F. Khoiriah, F.S. Nindya, N. Berliana, S. Aisyah, V.A. Nuraini, A. Ningrum, E. Susanto, L. Martha, I. Kurniawan, N.A. Hidayati, K.W. Chew, P.-L. Show, Waste and Biomass Valorization (2023).
  10. The Implementation of Genetic Algorithm-Ensemble Learning on QSAR Study of Diacylglycerol Acyltransferase-1(DGAT1) Inhibitors as Anti-diabetes, I. Arifa, A. Aditsania, I. Kurniawan, Data Science and Emerging Technologies (2023) pp. 282-292.
  11. Implementation of Ensemble Methods on Classification of CDK2 Inhibitor as Anti-Cancer Agent, I. Kurniawan, M.M. Anggraini, A. Aditsania, E.B. Setiawan, IJCCS (Indonesian Journal of Computing and Cybernetics Systems) vol. 17 issue 1 (2023) pp. 11-22.
  12. Imbalanced Text Classification based on Corporate Culture by using Support Vector Machine, Case Study: PT XYZ, Indonesia, I. Kurniawan, I.K. Nurhayati, M.Y. Fahreza, N. Ikhsan, K.M. Lhaksmana, 2022 5th International Seminar on Research of Information Technology and Intelligent Systems, ISRITI 2022.

2022

  1. DPP IV Inhibitors Activities Prediction as An Anti-Diabetic Agent using Particle Swarm Optimization-Support Vector Machine Method, R.R. Septiawan, B.H. Prakoso, I. Kurniawan, Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), vol. 6 issue 6 (2022) pp. 974-980.
  2. Transformer Implementation for Short Term Electricity Load Forecasting, Case Study: Bali, Indonesia, A.A. Simaremare, I.A. Aditya, D. Adytia, I. Kurniawan, Jurnal Informatika dan Komputer, vol. 5 issue 3 (2022) pp. 243-248.
  3. Identification of Lung Cancer in Smoker Person Using Ensemble Methods Based on Gene Expression Data, O. Abiezer, F. Nhita, I. Kurniawan, 2022 5th International Conference of Computer and Informatics Engineering (IC2IE) (2022).
  4. Implementation of Genetic Algorithm-Support Vector Machine on Gene Expression Data in Identification of Non-Small Cell Lung Cancer in Nonsmoking Female, T.N.R. Rohimat, F. Nhita, I. Kurniawan, 2022 5th International Conference of Computer and Informatics Engineering (IC2IE) (2022).
  5. QSAR Study on Falcipain Inhibitors as Anti-malaria using Genetic Algorithm-Support Vector Machine, M.F. Ambiar, A. Aditsania, I. Kurniawan, 2022 5th International Conference of Computer and Informatics Engineering (IC2IE) (2022).
  6. QSAR Study on Predicting DPP-IV Inhibitors as Anti-Diabetic Agent by using Genetic Algorithm-Support Vector Machine, I. Kurniawan, A.M. Kasfilla, N. Ikhsan, 2022 10th International Conference on Information and Communication Technology (ICoICT) (2022).
  7. Microarray-Based Classification Model of Parkinson Identification by using Firefly Algorithm-Support Vector Machine, J.W. Harahap, F. Nhita, I. Kurniawan, 2022 10th International Conference on Information and Communication Technology (ICoICT) (2022).
  8. QSAR Study on Diacylgycerol Acyltransferase-1 (DGAT-1) Inhibitor as Anti-diabetic using PSO-SVM Methods, I.K.A.P. Putra, R.R. Septiawan, I. Kurniawan, Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), vol. 6 issue 5 (2022) pp. 735-741.
  9. Classification of Non-Small Cell Lung Cancer Based on Gene Expression in Cases of Smokers and Non-Smokers using Ensemble Methods with Statistical Based Feature Selection, F. Nhita, I. Kurniawan, Journal of Computer Science, vol. 18 issue 10 (2022) pp. 913-927.
  10. QSAR Study on Aromatic Disulfide Compounds as SARS-CoV Mpro Inhibitor Using Genetic Algorithm-Support Vector Machine, R.A. Hakim, A. Aditsania, I. Kurniawan, Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control, vol. 7 issue 2 (2022) pp. 149-160.
  11. QSAR Study of Larvicidal Phytocompounds as Anti-Aedes Aegypti by using GA-SVM Method, K. Triolascarya, R.R. Septiawan, I. Kurniawan, Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), vol. 5 issue 4 (2022) pp. 632-638.
  12. QSAR Model for Prediction PTP1B Inhibitor as Anti-diabetes Mellitus using Simulated Annealing-Support Vector Machine, H. Fadhlurrahman, A. Khoirunnisa, I. Kurniawan, 2022 International Conference on Data Science and Its Applications (ICoDSA) (2022).
  13. Classification of CDK2 Inhibitor as Anti-Cancer Agent by Using Simulated Annealing-Support Vector Machine Methods, R.Y. Ikhsanurahman, N. Ikhsan, I. Kurniawan, 2022 International Conference on Data Science and Its Applications (ICoDSA) (2022).
  14. In silico proteolysis and molecular interaction of tilapia (Oreochromis niloticus) skin collagen-derived peptides for environmental remediation, H.S.H Munawaroh, G.G. Gumilar, J.D. Berliana, S. Aisyah, V.A. Nuraini, A. Ningrum, E. Susanto, L. Martha, I. Kurniawan, N.A. Hidayati, A.K. Koyande, P.L. Show, Environmental Research, 212 (2022), pp. 113002.
  15. Microalgae as a potential sustainable solution to environment health, H.S.H. Munawaroh, F. Hazmatulhaq, G.G. Gumilar, R.N. Pratiwi, I. Kurniawan, A. Ningrum, N.A. Hidayati, A.K. Koyande, P.S. Kumar, P.L. Show, Chemosphere, vol. 295 (2022) pp. 133740.
  16. Implementation of Ensemble Method in Schizophrenia Identification Based on Microarray Data, D.N. Purba, F. Nhita, I. Kurniawan, Jurnal RESTI, vol. 6 issue 1 (2022) pp. 64-69.
  17. Investigation of Active Compounds of Brucea Javanica In Treating Hypertension Using A Network Pharmacology-Based Analysis Combined with Homology Modeling, Molecular Docking and Molecular Dynamics Simulation, A. Arwansyah, A.R. Arif, I. Ramli, H. Hasrianti, I. Kurniawan, L. Ambarsari, T.I. Sumaryada, M. Taiyeb, ChemistrySelect, vol. 7 issue 1 (2022) pp. 1-18.

2021

  1. Drug Review-based Diabetes Prediction by Using Naïve Bayes Method, A.M. Rasunah, E.B. Setiawan, I. Kurniawan, 2021 International Conference Advancement in Data Science, E-learning and Information Systems (ICADEIS), (2021).
  2. Implementation of Support Vector Machine on Text-based GERD Detection by using Drug Review Content, A.N. ’Izzaturrahmah, F. Nhita, I. Kurniawan, 2021 International Conference Advancement in Data Science, E-learning and Information Systems (ICADEIS), (2021).
  3. Optimizing Convolutional Neural Network by Using Genetic Algorithm for COVID-19 Detection in Chest X – Ray Image, M.I. Mahendra, I. Kurniawan, 2021 International Conference on Data Science and Its Applications (ICoDSA), (2021).
  4. Implementation of Random Forest in Classification Model of Diabetes Prediction based on Drug Review Content, S. Karimah, E.B. Setiawan, I. Kurniawan, 2021 International Conference on Data Science and Its Applications (ICoDSA), (2021).
  5. Classification Model of Consumer Question about Motorbike Problems by Using Naïve Bayes and Support Vector Machine, E. Wicaksana, D.T. Murdiansyah, I. Kurniawan, Indonesia Journal on Computing (Indo-JC), vol. 6, issue 2, (2021), pp. 1-10.
  6. Implementation of Simulated Annealing-Support Vector Machine on QSAR Study of Indenopyrazole Derivative as Anti-Cancer Agent, M.F. Rizqi, R.R. Setiawan, I. Kurniawan, 2021 9th International Conference on Information and Communication Technology (ICoICT), (2021).
  7. Molecular modelling on SARS-CoV-2 papain-like protease: an integrated study with homology modelling, molecular docking, and molecular dynamics simulations, A. Arwansyah, A.R. Arif, G. Syahputra, S. Sukarti, I. Kurniawan, SAR and QSAR in Environmental Research, vol. 32 issue 9 (2021) pp. 699-718.
  8. QSAR Study for Prediction of HIV-1 Protease Inhibitor Using the Gravitational Search Algorithm–Neural Network (GSA-NN) Methods, I. Kurniawan, R. Wardhani, M. Rosalinda, N. Ikhsan, Lontar Komputer : Jurnal Ilmiah Teknologi Informasi, vol. 12 issue 2 (2021) pp. 62-77.
  9. Theoretical studies of Thiazolyl-Pyrazoline derivatives as promising drugs against malaria by QSAR modelling combined with molecular docking and molecular dynamics simulation, A. Arwansyah, A.R. Arif, G. Syahputra, S. Sukarti, I. Kurniawan, Mol. Simul., vol. 47 issue 12 (2021) pp. 988-1001.
  10. CoMFA, Molecular Docking and Molecular Dynamics Studies on Cycloguanil Analogues as Potent Antimalarial Agents, I. Kurniawan, M.S. Fareza, P. Iswanto, Indones. J. Chem, vol. 21 issue 1 (2021) pp. 66-76.
  11. Predicting Water Quality Parameters in a Complex River System, I. Kurniawan, G. Hayder, H.M. Mustafa, J. Ecol. Eng., vol. 22 issue 1 (2021) pp. 250-257.
  12. Implementation of Machine Learning Methods for Monitoring and Predicting Water Quality Parameters, G. Hayder, I. Kurniawan, H.M. Mustafa, Biointerface Res. Appl. Chem., vol. 11 issue 2 (2021) pp. 9285-9295.

2020

  1. Hoax Detection System on Twitter using Feed-Forward and Back-Propagation Neural Networks Classification Method, C.W. Kencana, E.B. Setiawan I. Kurniawan, Jurnal RESTI, vol. 4 issue 4 (2020) pp. 655-663.
  2. Implementation of Simulated Annealing-Support Vector Machine on QSAR Study of Fusidic Acid Derivatives as Anti-Malarial Agent, F. Rahman, K.M. Lhaksmana, I. Kurniawan, 2020 6th International Conference on Interactive Digital Media (ICIDM).
  3. Implementation Information Gain Feature Selection for Hoax News Detection on Twitter using Convolutional Neural Network (CNN), H.K. Farid, E.B. Setiawan, I. Kurniawan, Jurnal Indo-JC, vol. 5 issue 3, (2020) pp. 23-26.
  4. Text Analysis of Applicants for Personality Classification Using Multinomial Naïve Bayes and Decision Tree, N.Y. Hutama, K.M. Lhaksmana, I. Kurniawan, Jurnal INFOTEL, vol. 12 issue 3, (2020) pp. 72-81.
  5. Implementation of Convolutional Neural Network and Multilayer Perceptron in Predicting Air Temperature in Padang, I. Kurniawan, L.S. Silaban, D. Munandar, Jurnal RESTI, vol. 4 issue 6, (2020) pp. 1165 – 1170.
  6. Modeling Traffic Flow on Buah Batu Exit Toll Gate Using Cellular Automata, R.F. Ketaren, F.H. Danufane, I. Kurniawan, 2020 International Conference on Data Science and Its Applications (ICoDSA), (2020).
  7. In-vitro molecular docking analysis of microalgae extracted phycocyanin as an anti-diabetic candidate, H.S.H. Munawaroh, G.G. Gumilar, F. Nurjanah, G. Yuliani,S. Aisyah, D. Kurnia, A.P. Wulandari, I. Kurniawan, A. Ningrum, A.K. Koyande, P.L. Show, Biochem. Eng. J., vol. 161 (2020), p. 107666.
  8. QSAR Study of Fusidic Acid Derivative as Anti-Malaria Agents by using Artificial Neural Network-Genetic Algorithm, H.F. Azmi, K.M. Lhaksmana, I. Kurniawan, 2020 8th International Conference on Information and Communication Technology (ICoICT), (2020).
  9. Analyzing TF-IDF and Word Embedding for Implementing Automation in Job Interview Grading, A.W. Romadon, K.M. Lhaksmana, I. Kurniawan, D. Richasdy, 2020 8th International Conference on Information and Communication Technology (ICoICT), (2020).
  10. Implementation of Ensemble Methods on QSAR Study of NS3 Inhibitor Activity as Anti-Dengue Agent, I. Kurniawan, M. Rosalinda, N. Ikhsan, SAR QSAR Environ. Res., vol. 31 issue 6 (2020) pp. 477-492.
  11. Photostabilization of phycocyanin from Spirulina platensis modified by formaldehyde, H.S.M. Munawaroh, G.G. Gumilar, C.R. Alifia, M. Marthania, B. Stellasary, G. Yuliani, A.P. Wulandari, I Kurniawan, R. Hidayat, A. Ningrum, A.K. Koyande, P.L. Show, Process Biochem. vol. 94 (2020), pp. 297-304.

2019

  1. Pemodelan Produksi Biogas pada Reaktor Tipe Batch Menggunakan Metode Hamming Predictor-Corrector, A. Assegaf, R.F. Umbara, I. Kurniawan, Indonesia Journal on Computing (Indo-JC), vol. 4 issue 1 (2019), pp. 1-8.
  2. QSAR modeling of PTP1B inhibitor by using Genetic algorithm-Neural network methods, I. Kurniawan, D. Tarwidi, Jondri, J. Phys.: Conf. Ser., vol. 1192 (2019).
  3. Theoretical studies on electronic structure and properties of type I copper center in copper proteins, I. Kurniawan, K. Kawaguchi, K. Sugimori, T. Sakurai, H. Nagao, Sci. Rep. Kanazawa Univ., vol. 63 (2019), pp. 1-13.
  4. Molecular dynamics study of free energy profile for dissociation of ligand from CA I active site, MS. Arwansyah, K. Kodama, I. Kurniawan, T. Kataoka, K. Kawaguchi, H. Nagao, Sci. Rep. Kanazawa Univ., vol. 63 (2019), pp. 15-28.

2018

  1. A Theoretical Study on Redox Potential and pKa of [2Fe-2S] Cluster Model from Iron-Sulfur Proteins, I. Kurniawan, K. Kawaguchi, M. Shoji, T. Matsui, Y. Shigeta, H. Nagao, BCSJ, vol. 91 issue 9 (2018), pp. 1451-1456.
  2. Quantum Chemical Study of Axial Ligand Effect on the Electronic Properties of Type I Copper Protein, I. Kurniawan, K. Kawaguchi, K. Sugimori, T. Sakurai, H. Nagao, Chem. Lett., vol. 47 issue 9 (2018), pp. 1172-1175.
  3. Theoretical study on interaction of cytochrome f and plastocyanin complex by a simple coarse-grained model with molecular crowding effect, S. Nakagawa, I. Kurniawan, K. Kodama, M. S. Arwansyah, K. Kawaguchi, H. Nagao, Mol. Phys., vol. 116 issue 5-6 (2018), pp. 666-677.
  4. A coarse-grained model of the effective interaction for charged amino acid residues and its application to formation of GCN4-pLI tetramer, K. Kawaguchi, S. Nakagawa, I. Kurniawan, K. Kodama, M. S. Arwansyah, H. Nagao, Mol. Phys., vol. 116 issue 5-6 (2018), pp. 649-657.
  5. Theoretical studies on association/dissociation process of plastocyanin and cytochrome f in photosynthesis, I. Kurniawan, T. Matsui, S. Nakagawa, K. Kawaguchi, H. Nagao, J. Phys.: Conf. Ser., vol. 1136 (2018).

2017

  1. Implementasi Metode Runge-Kutta-Gill pada Anaerobic Digestion Model No. 1 untuk Memodelkan Produksi Biogas, A. Dewantara, R.F. Umbara, I. Kurniawan, Indonesia Journal on Computing (Indo-JC), vol. 2 issue 1 (2017), pp. 1-6.

2016

  1. Implementasi Newton Raphson Termodifikasi pada Prediksi Distribusi Tekanan Pipa Transmisi Gas Alam, A. Aditsania, I. Kurniawan, Indonesia Journal on Computing (Indo-JC), vol. 1 issue 2 (2016), pp. 27-36.
  2. Pemodelan Dan Simulasi Produksi Biogas Dari Substrat Glukosa Menggunakan Anaerobic Digestion Model No. 1 (ADM1), I. Kurniawan, A. Aditsania, Indonesia Journal on Computing (Indo-JC), vol. 1 issue 1 (2016), pp. 49-60.

2015

  1. A hybrid-type approach with MD and DFT calculations for evaluation of redox potential of molecules, M. Iwayama, I. Kurniawan, H. Saito, K. Kawaguchi, H. Nagao, Mol. Simul. vol. 41 issue 10-12 (2015), pp. 936-941.