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BAREKENG: Journal of Mathematics and Its Applications is cited by articles on the Scopus database at least 218 times for 165 documents since published in July 2007.

Citation Detail:

Nurhaliza, S., Sadik, K., Saefuddin, A. “A COMPARISON OF COX PROPORTIONAL HAZARD AND RANDOM SURVIVAL FOREST MODELS IN PREDICTING CHURN OF THE TELECOMMUNICATION INDUSTRY CUSTOMER”, BAREKENG: J. Math. & App., vol. 16, no. 4, pp. 1433-1440, Dec. 2022.
DOI: https://doi.org/10.30598/barekengvol16iss4pp1433-1440

 Cited by:

  1. Emily, M. et al. “Comparative analysis of machine learning and survival analysis for breast cancer prediction", 2024, Procedia Computer Science
    DOI: https://doi.org/10.1016/j.procs.2024.10.302

Haq, I., Aidi, M. N., Kurnia, A., Efriwati, E. “A comparison of logistic regression and geographically weighted logistic regression (GWLR) on covid-19 data in west Sumatra”, BAREKENG: J. Math. & App., vol. 17, no. 3, pp. 1749-1760, Sept. 2023.
DOI: https://doi.org/10.30598/barekengvol17iss3pp1749-1760

Cited by:

  1. Rakhmetullina et al. “Research and implementation of the medical text analysis algorithm for predicting mortality”, 2024, Indonesian Journal of Electrical Engineering and Computer Science
    DOI: http://doi.org/10.11591/ijeecs.v34.i3.pp1965-1977

Huda, N.M., Mukhaiyar, U., Imro’Ah, N. “An iterative procedure for outlier detection in GSTAR (1; 1) Model”, BAREKENG: J. Math. & App., vol. 16, no. 3, pp. 975-984, Sept. 2022.
DOI: https://doi.org/10.30598/barekengvol16iss3pp975-984

Cited by:

  1. Mukhaiyar et al. “Spatial and Time Series Modelling for the Groundwater Level of Peatlands in Riau and Central Kalimantan, Indonesia”, 2024, Springer Proceedings in Mathematics and Statistics

Ansori, M., Hariyanto, S. “Analysis of banking deposit cost in the dynamics of loan: Bifurcation and chaos perspectives”, BAREKENG: J. Math. & App., vol. 16, no. 4, pp. 1283-1292, Dec. 2022.,
DOI: https://doi.org/10.30598/barekengvol16iss4pp1283-1292

Cited by:

  1. Ansori, M.F. “LOAN BENCHMARK INTEREST RATE IN BANKING DUOPOLY MODEL WITH HETEROGENEOUS EXPECTATION”, 2024, Journal of the Indonesian Mathematical Society
    DOI: https://doi.org/10.22342/jims.30.2.1779.205-217

  2. Ansori et al. “Analysis of loan benchmark interest rate in banking loan dynamics: bifurcation and sensitivity analysis”, 2023, Journal of Mathematics and Modeling in Finance
    DOI: https://doi.org/10.22054/jmmf.2023.74976.1098

Gamayanti, N. F., Junaidi, J., Fadjryani, F. “Analysis Of Spatial Effects On Factors Affecting Rice Production In Central Sulawesi Using Geographically Weighted Panel Regression”, BAREKENG: J. Math. & App., vol. 17, no. 1, pp. 0361-0370, March. 2023.,
DOI: https://doi.org/10.30598/barekengvol17iss1pp0361-0370

Cited by:

  1. Mondiana et al. “Applied fixed effect of Geographically Weighted Panel Regression (GWPR) with M- Estimator approach to estimate sugarcane yield data in East Java”, 2024, Journal of Applied and Natural Science
    DOI: https://doi.org/10.31018/jans.v16i2.5443

Wattimanela, H.J. “Analyzing Earthquake Activity Levels in North Sulawesi Using Maximum Likelihood Method and Gutenberg-Richter Law”, BAREKENG: J. Math. & App., vol. 17, no. 2, pp. 827-836, Jun. 2023.,
DOI: https://doi.org/10.30598/barekengvol17iss2pp0827-0836

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  1. Dewi et al. ”Clustering of disaster prones areas in Java Island”, 2024, AIP Conference Proceedings.
    DOI: https://doi.org/10.1063/5.0230700

Wungguli, D., Nurwan, N. “Application of Integer Linear Programming Model in Automatic Lectures Scheduling Optimization”, BAREKENG: J. Math. & App., vol. 14, no. 3, pp. 413-424, Sept. 2020.,
DOI: https://doi.org/10.30598/barekengvol14iss3pp413-424

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  1. Diallo et al. “Optimizing the Scheduling of Teaching Activities in a Faculty”, 2024, Applied Sciences (Switzerland)|DOI: https://doi.org/10.20944/preprints202409.0732.v1

Marola, G., Satyahadewi, N., Andani, W. “Application of The Black Scholes Method for Counting Agricultural Insurance Premium Price Based on Rainfall Index in Kapuas Hulu Regency”, BAREKENG: J. Math. & App., vol. 17, no. 2, pp. 819-826, Jun. 2023.,
DOI: https://doi.org/10.30598/barekengvol17iss2pp0819-0826

Cited by:

  1. Azahra et al. “Agricultural Insurance Premium Determination Model for Risk Mitigation Based on Rainfall Index: Systematic Literature Review”, 2024, Risks
    DOI: https://doi.org/10.3390/risks12120205

Telussa, A.D.E.M., Persulessy, E.R., Leleury, Z.A. “APPLICATION OF PARTIAL CORRELATION ANALYSIS TO DETERMINE THE RELATIONSHIP OF THE IMPLEMENTATION OF EMPLOYEE MANAGEMENT FUNCTIONS WITH THE EFFECTIVENESS OF EMPLOYEE WORK (Case Study on Revenue Agency, Financial Management and Maluku Province Assets)”, BAREKENG: J. Math. & App., vol. 7, no. 1, pp. 15-18, Mar. 2013.,
DOI: https://doi.org/10.30598/barekengvol7iss1pp15-18

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  1. Nadzirah et al. “Estimating Harvest Yield Using Sentinel 2 Derivative Vegetation Indices (Case Study: Organic Paddy in Candipuro, Lumajang)”, 2024, AIP Conference Proceedings
    DOI: https://doi.org/10.1063/5.0224302

  2. Ramanel et al. “Data Integration for Improving the Precision of Per Capita Expenditure Estimation Using Machine Learning Method”, 2024, Procedia Computer Science
    DOI: https://doi.org/10.1016/j.procs.2024.10.272
  3. Sari et al. “The distribution of the macro-zoobenthos community based on the characteristics of the mangrove sediments in Aceh Besar”, 2021, IOP Conference Series: Earth and Environmental Science
    DOI: https://doi.org/10.1088/1755-1315/674/1/012022

Ilma, H., Notodiputro, K. A., Sartono, B. “ASSOCIATION RULES IN RANDOM FOREST FOR THE MOST INTERPRETABLE MODEL”, BAREKENG: J. Math. & App., vol. 17, no. 1, pp. 0185-0196, March. 2023.,
DOI: https://doi.org/10.30598/barekengvol17iss1pp0185-0196

Cited by:

  1. Moh’d et al. “Enhancing interpretability in random forest: Leveraging inTrees for association rule extraction insights”, 2024, IAES International Journal of Artificial Intelligence
    DOI: http://doi.org/10.11591/ijai.v13.i4.pp4054-4061

Saputro, D. R. S., Prasetyo, H., Wibowo, A., Khairina, F., Sidiq, K., Wibowo, G. N. A. “Bibliometric analysis of neural basis expansion analysis for interpretable time series (nbeats) for research trend mapping”, BAREKENG: J. Math. & App., vol. 17, no. 2, pp. 1105-1114, Jun. 2023.,
DOI: https://doi.org/10.30598/barekengvol17iss2pp1103-1112

Cited by:

  1. Coşkun et al. “Bibliometric Analysis of Yearbook of Turkic Studies-Belleten: 1953-2024 | Türk Dili Araştırmaları Yıllığı – Belleten Dergisinin Bibliyometrik (Kaynak Ölçüm) Çözümlemesi: 1953-2024”, 2024, BELLETEN Yearbook of Turkic Studies
    DOI: https://doi.org/10.32925/tday.2024.123

Muhammad, Hubbi, Qonita, Niswah, Fibrianti, R.A.W., Susanti, Yeni, “Bipartite Graph Associated With Elements and Cosets of Subrings of Finite Rings”, BAREKENG: J. Math. & App., vol. 17, no. 2, pp. 0667-0672, Jun. 2023.,
DOI: https://doi.org/10.30598/barekengvol17iss2pp0667-0672

Cited by:

  1. Muhammad et al. “THE NON-BRAID GRAPH OF DIHEDRAL GROUP Dn”, 2024, Journal of the Indonesian Mathematical Society
    DOI: https://doi.org/10.22342/jims.30.1.1401.110-120

Hakim, L., Widayanti, L. “Boundedness and existence analysis solution of an optimal control problems on mathematical COVID-19 model”, BAREKENG: J. Math. & App., vol. 18, no. 2, pp. 0797-0808, Jun. 2023.,
DOI: https://doi.org/10.30598/barekengvol18iss2pp0797-0808

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  1. Hakim. et al. “MATHEMATICAL STOCHASTICS MODEL OF TUBERCULOSIS USING EMPIRICAL DATA FROM MALANG CITY”, 2024, Communications in Mathematical Biology and Neuroscience.
    DOI: https://doi.org/10.28919/cmbn/8930

Irawan, W., Sugeng, K.“Characteristic antiadjacency matrix of graph join”, BAREKENG: J. Math. & App., vol. 16, no. 1, pp. 041-046, Mar. 2022.,
DOI: https://doi.org/10.30598/barekengvol16iss1pp041-046

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  1. Sugeng. et al. “Several properties of antiadjacency matrices of directed graphs”, 2024, AIMS Mathematics.
    DOI: https://doi.org/10.3934/math.20241351

Yahdin, S., Desiani, A., Andini, S. P., Cahyawati, D., Arhami, M., Eliyati, N.“Combination of KNN and Particle Swarm Optimization on air quality prediction”, BAREKENG: J. Math. & App., vol. 16, no. 1, pp. 7-14, Mar. 2022.,
DOI: https://doi.org/10.30598/barekengvol16iss1pp007-014

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  1. Asklany. et al. “Advanced Machine Learning Swarm Intelligence Algorithms in Atmospheric Pollutants Prediction”, 2024, International Journal of Mathematics and Computer Science.
    DOI: https://doi.org/10.1016/j.atmosenv.2023.119987

Ilmiyah, N.F., Al Hasani, S.Z.N., Renaningtyas, D.“Combination of saw-topsis and borda count methods in sequencing potential convalescent plasma donors”, BAREKENG: J. Math. & App., vol. 17, no. 3, pp. 1521-1532, Sept. 2023.,
DOI: https://doi.org/10.30598/barekengvol17iss3pp1521-1532

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  1. Aleksić. et al. “Application of the AHP and VIKOR methods of individual decision making and the Borda method of group decision making when choosing the most efficient way of performing preparatory shooting at serial number one from a 12.7 mm long range rifle M-93”, 2024, Military Technical Courier/Vojnotehnicki glasnik.
    DOI: https://doi.org/10.5937/vojtehg72-52204

Melina, M. “Comparative analysis of time series forecasting models using arima and neural network autoregression methods”, BAREKENG: J. Math. & App., vol. 18, no. 4, pp. 2563-2576, Dec. 2024.,
DOI: https://doi.org/10.30598/barekengvol18iss4pp2563-2576

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Destia, B., Kartikasari, M.D. “Comparison of fuzzy c-means and fuzzy Gustafson-Kessel cluster-ing methods in provincial grouping in Indonesia based on criminality-related factors”, BAREKENG: J. Math. & App., vol. 17, no. 2, pp. 1095-1104, Jun. 2023.,
DOI: https://doi.org/10.30598/barekengvol17iss2pp1093-1102

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  1. Niewiadomski. et al. “The Elusive Phenomenon: Unveiling Deconsumption in the EU”, 2024, Sustainability (Switzerland).
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Fauzi, F., Setiayani, W., Utami, T.W., Yulianto, E., Harmoko, I.W.“COMPARISON OF RANDOM FOREST AND NAeVE BAYES CLASSIFIER METHODS IN SENTIMENT ANALYSIS ON CLIMATE CHANGE ISSUE”, BAREKENG: J. Math. & App., vol. 17, no. 3, pp. 1439-1448, Sept. 2023.,
DOI: https://doi.org/10.30598/barekengvol17iss3pp1439-1448

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  1. Anhsori. et al. “Comparison Performance of SVM, Naïve Bayes and XGBoost Classifier on Climate Change Issue”, 2024, Proceedings - 2024 International of Seminar on Application for Technology of Information and Communication: Smart And Emerging Technology for a Better Life, iSemantic 2024.
    DOI: https://doi.org/10.1109/iSemantic63362.2024.10762214

Jana, P., Rosadi, D., Supandi, E. D. “Comparison of Robust Estimation on Multiple Regression Model”, BAREKENG: J. Math. & App., vol. 17, no. 2, pp. 0979-0988, Jun. 2023.,
DOI: https://doi.org/10.30598/barekengvol17iss2pp0979-0988

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  1. Wijokongko. et al. “The Influence of Social, Economic and Environmental Aspects on the Welfare of Traditional Diamond Mining in Cempaka District, Banjarbaru City, Indonesia ”, 2024, Journal of Ecohumanism.
    DOI: https://doi.org/10.62754/joe.v3i7.4289

Fitrianto, A., Xin, S. H. “Comparisons Between Robust Regression Approaches in The Presence of Outliers and High Leverage Points”, BAREKENG: J. Math. & App., vol. 16, no. 1, pp. 243-252, Mar. 2022.,
DOI: https://doi.org/10.30598/barekengvol16iss1pp243-252

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  1. Deng. et al. “Few shot intelligent assessment method for compaction quality of earthwork considering uncertainty”, 2024, Expert Systems with Applications.
    DOI: https://doi.org/10.1016/j.eswa.2024.125000

  2. Ania. et al. “ROBUST SPATIAL TEMPORAL ANALYSIS WITH IMPROVED GEOGRAPHICALLY AND TEMPORALLY WEIGHTED REGRESSION MODEL OF DENGUE INCIDENCE RATE”, 2024, Communications in Mathematical Biology and Neuroscience.
    DOI: https://doi.org/10.28919/cmbn/8376

  3. Sujatono. et al.  “NEW PREDICTION MODEL OF BLAST-INDUCED PPV BASED ON EMPIRICAL APPROACH IN SEDIMENTARY ROCK, International Journal of GEOMATE.
    DOI: https://doi.org/10.21660/2023.112.4024

Ahsan, M., Susanto, T.Y., Virania, T.A., Jaya, A.I. “Credit Card Fraud Detection Using Linear Discriminant Analysis (Lda), Random Forest, and Binary Logistic Regression”, BAREKENG: J. Math. & App., vol. 14, no. 4, pp. 1337-1346, Dec. 2022.,
DOI: https://doi.org/10.30598/barekengvol16iss4pp1337-1346

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  1. Ulandari. et al. “Modeling of home ownership loan fraud risk using binary logistic regression and multivariate adaptive regression spline”, 2024, AIP Conference Proceedings.
    DOI: https://doi.org/10.1063/5.0241477

Vahlepy, R., Winarno, F.N.A., Rinaldi, D.N. “Customer Satisfaction Analysis on Sales Engineering Service Using Servqual and Factor Analysis in Packaging Industry”, BAREKENG: J. Math. & App., vol. 16, no. 2, pp. 663-674, Jun. 2022.,
DOI: https://doi.org/10.30598/barekengvol16iss2pp663-674

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  1. Rebualos. et al. “Analysis of service quality in engineering design department through SERVQUAL framework”, 2024, Procedia Computer Science.
    DOI: https://doi.org/10.1016/j.procs.2024.03.159

Astuti, C, Wiguna, A, Latifa, F, Olvyya, A “Development of Android-based "mbarengi" statistics e-module as an innovation for statistics learning media with hybrid learning”, BAREKENG: J. Math. & App., vol. 16, no. 2, pp. 515-524, Jun. 2022.,
DOI: https://doi.org/10.30598/barekengvol16iss2pp515-524

Cited by:

  1. Gamit. et al. “Enhancing statistical literacy: Developing and implementing Androidbased performance tasks in mathematics”, 2024, International Journal of Advanced and Applied Sciences.
    DOI:https://doi.org/10.21833/ijaas.2024.12.024

Muliyana, A., Panjaitan, A.W., Simatupang, F.“Development of Geometry Mobile Learning to Enhance Students’ Mathematics Learning Interest”, BAREKENG: J. Math. & App., vol. 18, no. 2, pp. 1369-1380, Jun. 2024.,
DOI: https://doi.org/10.30598/barekengvol18iss2pp1369-1380

Cited by:

  1. Ikhsan. et al. “DEVELOPMENT OF GEO-MATH APPLICATION BY INTEGRATING GEO-GEBRA APPLETS TO IMPROVE STUDENTS’ SPATIAL ABILITY”, 2024, Jurnal Ilmiah Peuradeun.
    DOI: https://doi.org/10.26811/peuradeun.v12i3.1492

Herlambang, T., Suryowinoto, A., Adrianto, D., Rahmalia, D., Nurhadi, H. “Diving Motion Estimation of Remotely Operated Vehicle Using Ensemble Kalman Filter and H-Infinity”, BAREKENG: J. Math. & App., vol. 17, no. 1, pp. 95-100, Mar. 2023.,
DOI: https://doi.org/10.30598/barekengvol17iss1pp0095-0100

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  1. Suryowinoto. et al. “Trajectory Estimation of Remote Operated Vehicle Using Particle Filter for Circular Motion”, 2024, AIP Conference Proceedings.
    DOI: https://doi.org/10.1063/5.0223047

Mahardika, D., Kartika, S. “Dynamic system of tuberculosis model using optimal control in semarang city indonesia”, BAREKENG: J. Math. & App., vol. 18, no. 1, pp. 43-52, Mar. 2024.,
DOI: https://doi.org/10.30598/barekengvol18iss1pp0043-0052

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  1. Nivetha. et al. “A comparison of stochastic and deterministic dynamics of tuberculosis model”, 2024, Stochastic Analysis and Applications.
    DOI: https://doi.org/10.1080/07362994.2024.2413632

Putri, A. R., Saida, M. A., Syafwan, M. “Dynamics of the Rumor Spreading model of Indonesia Twitter Case”, BAREKENG: J. Math. & App., vol. 16, no. 2, pp. 625-634, Jun. 2022.,
DOI: https://doi.org/10.30598/barekengvol16iss2pp625-634

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  1. Baishya. et al. “Rumor spread dynamics and its sensitivity analysis under the influence of the Caputo fractional derivatives”, 2024, Computational Methods for Differential Equations.
    DOI: https://doi.org/10.22034/cmde.2023.55650.2316

Sopamena, P., Juhaevah, F. “Ethnomathematical characteristics of the Nuaulu tribe in Maluku in the Cakalele traditional symbols”, BAREKENG: J. Math. & App., vol. 13, no. 2, pp. 75-84, Jun. 2019.,
DOI: https://doi.org/10.30598/barekengvol13iss2pp075-084ar772

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  1. Kusuma. et al. “Exploration Of Ethnomathematics Research In Indonesia 2010-2023”, 2024, Infinity Journal.
    DOI: https://doi.org/10.22460/infinity.v13i2.p393-412

Dsn, A., Putri, I.M., Listiawan, T. “Ethnomathematics of Javanese Culture: Mathematics Learning Innovation in Ethnomathematics Exploration Schools on Batik Gajah Mada Motif Sekar Jagad Tulungagung [Eksplorasi Etnomatematika Pada Batik Gajah Mada Motif Sekar Jagad Tulungagung]”, BAREKENG: J. Math. & App., vol. 14, no. 1, pp. 101-112, Mar. 2020.,
DOI: https://doi.org/10.30598/barekengvol14iss1pp101-112

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  1. Nurcahyo. et al. “Exploration Of Mathematical Concepts In Batik Truntum Surakarta”, 2024, Infinity Journal.
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  2. Uula. et al.  “Ethnomathematics: Geometrical concept in Batik Sidomulyo solo”, 2024, AIP Conference Proceedings.
    DOI: https://doi.org/10.1063/5.0183039
  3. Repiyan. et al. “Ethnomathematics: Mathematical concepts in Yogyakarta's typical hand-drawn Batik”, 2023, AIP Conference Proceedings.
    DOI: https://doi.org/10.1063/5.0141606

Rianda, F., Usman, H. “Forecasting Tourism Demand During the COVID-19 Pandemic: ARIMAX and Intervention Modelling Approaches”, BAREKENG: J. Math. & App., vol. 17, no. 1, pp. 0285-0294, Mar. 2023.,
DOI: https://doi.org/10.30598/barekengvol17iss1pp0285-0294

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Febriani, V., Lestari, D., Mardiyati, S., Lilyasari, O. “Fuzzy logistic regression application on predictions coronary heart disease”, BAREKENG: J. Math. & App., vol. 17, no. 1, pp. 571-580, Mar. 2023.,
DOI: https://doi.org/10.30598/barekengvol17iss1pp0571-0580

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  2. Kapoor. et al. “Heart attack prediction using random forest classifier approach”, 2024, Revolutionizing Healthcare Treatment With Sensor Technology.
    DOI: https://doi.org/10.4018/979-8-3693-2762-3

Sinaga, M.S., Molik, A.Y., Febrian, D. “Game theory application on online transportation company and driver income levels during the pandemic”, BAREKENG: J. Math. & App., vol. 16, no. 2, pp. 713-720, Jun. 2022.,
DOI: https://doi.org/10.30598/barekengvol16iss2pp713-720

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  1. Stoilova. et al. “An Integrated SIMUS–Game Theory Approach for Sustainable Decision Making—An Application for Route and Transport Operator Selection”, 2024, Sustainability.
    DOI: https://doi.org/10.3390/su16219199

Anam, S., Putra, M.R.A., Fitriah, Z., Yanti, I., Hidayat, N., Mahanani, D.M. “Health Claim Insurance Prediction Using Support Vector Machine With Particle Swarm Optimization”, BAREKENG: J. Math. & App., vol. 17, no. 2, pp. 797-806, Jun. 2023.,
DOI: https://doi.org/10.30598/barekengvol17iss2pp0797-0806

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  1. Aboul Ela. et al. “A Novel Hybrid ANFIS-NARX and NARX-ANN Models to Predict the Profitability of Egyptian Insurance Companies”, 2024, Statistics, Optimization and Information Computing.
    DOI: https://doi.org/10.19139/soic-2310-5070-2104
  2. Nanda. et al. “Big Data Analytics Function in Financial Institutions for Risk Management Practices”, 2024, Proceedings of International Conference on Communication, Computer Sciences and Engineering, IC3SE 2024.
    DOI: http://dx.doi.org/10.1109/IC3SE62002.2024.10592891
  3. Gill. et al. “Healthcare Insurance Cost Classification Using Machine Learning's Linear Regression Approach”, 2024, 2024 IEEE 9th International Conference for Convergence in Technology, I2CT 2024.
    DOI: http://dx.doi.org/10.1109/I2CT61223.2024.10544081

Adhitama, R. P., Saputro, D. R. S., Sutanto, S. “Hill Climbing Algorithm On Bayesian Network To Determine Probability Value Of Symptoms And Eye Disease”, BAREKENG: J. Math. & App., vol. 16, no. 4, pp. 1271-1282, Des. 2022.,  
DOI: https://doi.org/10.30598/barekengvol16iss4pp1271-1282

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  1. Deng. et al. “Neural network integrating graph attention and LSTM based on brain effective connectivity for diagnose of Alzheimer's disease”, 2024, Proceedings of SPIE - The International Society for Optical Engineering.

Bariklana, M., Fauzan, A. “Implementation of the dbscan method for cluster mapping of earthquake spread location”, BAREKENG: J. Math. & App., vol. 17, no. 2, pp. 867-878, Jun. 2023.,
DOI: https://doi.org/10.30598/barekengvol17iss2pp0867-0878

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  1. Barrera. et al. “Characterization of earthquakes in northern Chile using clustering techniques for the identification of possible first response points”, 2024, Ingeniare.
    DOI: https://doi.org/10.1117/12.3039959

Ahsan, M., Anam, A.K., Julian, E., Jaya, A.I. “Interpretable Predictive Model of Network Intrusion Using Several Machine Learning Algorithms”, BAREKENG: J. Math. & App., vol. 16, no. 1, pp. 057-064, Mar. 2022.,
DOI: https://doi.org/10.30598/barekengvol16iss1pp057-064

Cited by:

  1. Kaleem. et al. “Does ESG Predict Business Failure in Brazil? An Application of Machine Learning Techniques”, 2024, Risks.
    DOI: https://doi.org/10.3390/risks12120185

Widyaningsih, Y., Arum, G.P., Prawira, K. “K-fold cross validation application in determining the best negative binomial regression model”, BAREKENG: J. Math. & App., vol. 15, no. 2, pp. 057-064, Jun. 2022.,
DOI: https://doi.org/10.30598/barekengvol15iss2pp315-322

Cited by:

  1. Anamisa. et al. “Selection System of Madura Tourism Object as The Best Recommendation Based on Comparative Analysis of K-NN and Naive Bayes Methods”, 2022, International Conference of Science and Information Technology in Smart Administration, ICSINTESA 2022.

Loupatty, G.“Karakteristik Energi Gelombang Dan Arus Perairan Di Provinsi Maluku”, 2022, BAREKENG: J. Math. & App., vol. 7, no. 1, pp. 19-22, Mar. 2013.,
DOI: https://doi.org/10.30598/barekengvol7iss1pp19-22

Cited by:

  1. Ekodwi Haryono. et al. “The slope dynamic of cilacap backshore during transition season“, 2018, E3S Web of Conferences.
    DOI: https://doi.org/10.1109/ICSINTESA56431.2022.10041571

Elake, A.Y., Talahatu, M., Nanlohy, P. “Korelasi Multivariabel Enso, Monsun Dan Dipolemode Terhadap Variabilitas Curah Hujan Di Maluku”, BAREKENG: J. Math. & App., vol. 12, no. 1, pp. 7-16, Mar. 2018.,
DOI: https://doi.org/10.30598/vol12iss1pp7-16ar359

Cited by:

  1. Lessy. et al. “Understanding Multi-Hazard Interactions and Impacts on Small-Island Communities: Insights from the Active Volcano Island of Ternate, Indonesia“ 2024, Sustainability.
    DOI: https://doi.org/10.3390/su16166894

Usdianto, D. A., Setiyowati, R. “Mathematical Model Of Rice Commodity Supply Chain In Indonesia”, BAREKENG: J. Math. & App., vol. 17, no. 2, 1139-1148, Jun. 2023.,
DOI: https://doi.org/10.30598/barekengvol17iss2pp1139-1148

Cited by:

  1. Ahmad. et al. “Changes in the Properties of Green Concrete Due to an Acidic Environment“, 2024, International Journal on Advanced Science, Engineering and Information Technolog.
    DOI: https://doi.org/10.18517/ijaseit.14.4.17495

Lewaherilla, Norisca, Maitimu, Fransiska AAP, Niani, Cukri Rahmi “Model Penyebaran Penyakit Meningitis pada Musim Haji di Madinah dan Mekkah”, BAREKENG: J. Math. & App., vol. 11, no. 1, pp.  55-62, Mar. 2017.,
DOI: https://doi.org/10.30598/barekengvol11iss1pp55-62

Cited by:

  1. Sulma. et al. “Optimal Control of Transmission Dynamics of Meningitis Disease with Vaccination, Campaign, and Treatment Factors“ 2025, Journal of Advanced Research in Applied Sciences and Engineering Technology.
    DOI: https://doi.org/10.37934/araset.43.2.2131

Mardiana, N., Faqih, A., “Model SEM-PLS Terbaik Untuk Evaluasi Pembelajaran Matematika Diskrit Dengan LMS [The Best SEM-PLS Model for Evaluating Discrete Mathematics Learning with LMS]”, BAREKENG: J. Math. & App., vol. 13, no. 3, pp.  157-170, Sep. 2019.,
DOI: https://doi.org/10.30598/barekengvol13iss3pp157-170ar898

Cited by:

  1. Prastiwi. et al. “Does Whistleblowing Facility Affect Taxpayer Compliance?“, 2024, Asian Journal for Public Opinion Research.

  2. Prastiwi. et al. “Building Trust and Enhancing Tax Compliance: The Role of Authoritarian Procedures and Respectful Treatment in Indonesia“, 2023, Journal of Risk and Financial Management.
    DOI: https://doi.org/10.3390/jrfm16080375
  3. Mustofa. et al. “Exploring educational students acceptance of using movies as economics learning media: PLS-SEM analysis“, 2022, International Review of Economics Education.
    DOI: https://doi.org/10.1016/j.iree.2022.100236

Alwansyah, M.A., Rachmawati, R. “Modeling the Many Earthquakes in Sumatra Using Poisson Hidden Markov Models and Expectation Maximization Algorithm”, BAREKENG: J. Math. & App., vol. 18, no. 1, pp.  163-170, Mar. 2024.,
DOI: https://doi.org/10.30598/barekengvol18iss1pp0163-10135

Cited by:

  1. Surya. et al. “A Systematic Literature Review of Insurance Claims Risk Measurement Using the Hidden Markov Model“, 2024, Risks.
    DOI: https://doi.org/10.3390/risks12110169

Uwaheren, O.A., Adebisi, A.F., Ishola, C.Y., Raji, M.T., Yekeem, A.O., Peter, O.J. “Numerical Solution of Volterra integro-differential Equations by Akbari-Ganji’s Method”, BAREKENG: J. Math. & App., vol. 16, no. 3, pp.  1123-1130, Sep. 2022.,
DOI: https://doi.org/10.30598/barekengvol16iss3pp1123-1130

Cited by:

  1. Kaur. et al. “Numerical simulation of Volterra PIDE with singular kernel via modified cubic exponential and uniform algebraic trigonometric tension B-spline DQM”, 2024, Mathematics and Computers in Simulation.
    DOI: https://doi.org/10.1016/j.matcom.2024.07.025
  2. Shams. et al. “On a Stable Multiplicative Calculus-Based Hybrid Parallel Scheme for Nonlinear Equations“, 2024, Mathematics.
    DOI: https://doi.org/10.3390/math12223501
  3. Raji. et al. “Numerical solution of eight order boundary value problems using Chebyshev polynomials“, 2023, Mathematics and Computational Sciences.
    DOI: http://dx.doi.org/10.30511/mcs.2023.1988829.1108

Leleury, Arthur, Z. “Optimal control on Dynamic Model Epidemic Dengue Using MISER3”, BAREKENG: J. Math. & App., vol. 6, no. 2, pp. 17-21, Jun. 2012.,
DOI: https://doi.org/10.30598/barekengvol6iss2pp17-2

Cited by:

  1. Debora. et al. “Transmission Dinamics Model of Dengue Fever“, 2018, IOP Conference Series: Materials Science and Engineering.
    DOI: https://doi.org/10.1016/j.csfx.2023.100098

Susila, M.R. “Pemodelan multivariate kunjungan wisatawan mancanegara ke indonesia melalui pintu udara, laut, dan darat yang melibatkan dampak wabah COVID-19”, BAREKENG: J. Math. & App., vol. 15, no. 3, pp. 467-478, Sep. 2021.,
DOI: https://doi.org/10.30598/barekengvol15iss3pp467-478

Cited by:

  1. Bahri. et al. “Fuzzy Wavelet Dynamic Neural Network Model for Modeling the Number of Tourist Visits to West Nusatenggara Province“, 2024, International Journal of Computational Methods and Experimental Measurements.
    DOI: https://doi.org/10.18280/ijcmem.120101

Leleury, Z.A., Tomasouw, B.P. “PENGELOMPOKKAN DAN PEMETAAN KARAKTERISTIK KEMISKINAN DI KABUPATEN MALUKU BARAT DAYA PROVINSI MALUKU DENGAN MENGGUNAKAN SELF-ORGANIZING MAP DAN ANALISIS BIPLOT”, BAREKENG: J. Math. & App., vol. 13, no. 2, pp. 93-106, Aug. 2019.,
DOI: https://doi.org/10.30598/barekengvol13iss2pp093-106ar810

Cited by:

  1. Leleury. et al. “Row Metric Preserving Biplot Analysis to Discover the Demands of Graduates of Mathematics Study Programs in Maluku Province“, 2023, AIP Conference Proceedings.
    DOI: http://dx.doi.org/10.1063/5.0111799

Ilwaru, V.Y.I., Rahakbauw, D.L., Tetimelay, J. “Penjadwalan Waktu Proyek Pembangunan Rumah dengan Menggunakan CPM (Critical Path Method)”, BAREKENG: J. Math. & App., vol. 12, no. 2, pp. 061-068, Jun. 2018.,
DOI: https://doi.org/10.30598/vol12iss2pp061-068ar617

Cited by:

  1. Djohim. et al. “Risk Analysis of Modest Housing Projects Scheduling using Monte Carlo Simulation“, 2024, Civil Engineering Dimension.
    DOI: https://doi.org/10.9744/ced.26.2.160-172

Mardiatmoko, G. “Pentingnya Uji Asumsi Klasik Pada Analisis Regresi Linier Berganda”, BAREKENG: J. Math. & App., vol. 14, no. 3, pp. 333-342, Sep. 2020.,
DOI: https://doi.org/10.30598/barekengvol14iss3pp333-342

Cited by:

  1. Panjaitan. et al. “The Effect of Bottom Up Approach in Development Planning on Regional Economic Development in North Sumatra Province, Indonesia“, 2024, Journal of Ecohumanism.
    DOI: https://doi.org/10.62754/joe.v3i4.3506
  2. Ibdayanti. et al. “Multiple Regression Analysis to The Influence of Communication Management on Project Success“, 2024, E3S Web of Conferences.
    DOI: https://doi.org/10.1051/e3sconf/202447601001
  3. Urrahmi. et al. “Analysis of The Success of Construction Projects Based on Labor Productivity“, 2024, E3S Web of Conferences.
    DOI: https://doi.org/10.1051/e3sconf/202447601002

Putera, M. L. S. “Peramalan transaksi pembayaran non-tunai menggunakan ARIMAX-ANN dengan konfigurasi kalender [Forecasting cashless payment transactions using ARIMAX-ANN with calendar configuration]”, BAREKENG: J. Math. & App., vol. 14, no. 1, pp. 135-146, Mar. 2020.,
DOI: https://doi.org/10.30598/barekengvol14iss1pp135-146

Cited by:

  1. Wahyuningsih. et al. “Forecasting food prices in Central Java with the hybrid ARIMAX calendar variation model“, 2024, Songklanakarin Journal of Science and Technology.
  2. Wahidah. et al. “Forecasting the Value of Indonesia’s Exports using Model Hybrid Arimax-NN“, 2024, Science and Technology Asia.

Nurdiati, S., Najib, M. K., Bukhari, F., Revina, R., Salsabila, F. N. “Performance Comparison of Gradient-Based Convolutional Neural Network Optimizers for Facial Expression Recognition”, BAREKENG: J. Math. & App., vol. 16, no. 3, pp. 927-938, Sep. 2022.,
DOI: https://doi.org/10.30598/barekengvol16iss3pp927-938

Cited by:

  1. Nugrahani. et al. “Sensitivity and feature importance of climate factors for predicting fire hotspots using machine learning methods”, 2024, IAES International Journal of Artificial Intelligence.
    DOI: http://doi.org/10.11591/ijai.v13.i2.pp2212-2225

Aziza, V.N., Moh'd, F.H., Maghfiroh, F.A., Notodiputro, K.A., Angraini, Y. “Performance comparison of sarima intervention and prophet models for forecasting the number of airline passenger at Soekarno-Hatta international airport”, BAREKENG: J. Math. & App., vol. 17, no. 4, pp. 927-938, Dec. 2023.,
DOI: https://doi.org/10.30598/barekengvol17iss4pp2107-2120

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  1. Shishkin. et al. “Short-Term Predictions of the Trajectory of Mpox in East Asian Countries, 2022–2023: A Comparative Study of Forecasting Approaches”, 2024, Mathematics.
    DOI: https://doi.org/10.3390/math12233669
  2. Lundaeva. et al. “Demand Forecasting Model for Airline Flights Based on Historical Passenger Flow Data”, 2024, Applied Sciences (Switzerland).
    DOI: https://doi.org/10.3390/app142311413
  3. Negre. et al. “Prediction of footwear demand using Prophet and SARIMA”, 2024, Expert Systems with Applications.
    DOI: https://doi.org/10.1016/j.eswa.2024.124512

F. Abqorunnisa, E. Erfiani, and A. Djuraidah, “PERFORMANCE OF LASSO AND ELASTIC-NET METHODS ON NON-INVASIVE BLOOD GLUCOSE MEASUREMENT CALIBRATION MODELING”, BAREKENG: J. Math. & App., vol. 17, no. 1, pp. 0037-0042, Apr. 2023.
DOI: https://doi.org/10.30598/barekengvol17iss1pp0037-0042

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  1. Abu Afouna. et al. “The Impact of Heterogeneity in High-Ranking Variables Using Precision Farming”, 2024, Malaysian Journal of Fundamental and Applied Sciences.
    DOI: https://doi.org/10.11113/mjfas.v20n6.3564

M. Octavia, F. Fitriani, and A. Faisol, “PETRI NET MODEL IN THE PROCESS OF SUBMISSION FOR CUSTOMER CREDIT OF BPR LAMBANG GANDA SERANG”, BAREKENG: J. Math. & App., vol. 15, no. 3, pp. 565-574, Sep. 2021.
DOI: https://doi.org/10.30598/barekengvol15iss3pp565-574

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  1. Dila. et al. “Verification and validation of business processes in business architecture using the formal method with V-Model concept”, 2024, Procedia Computer Science.
    DOI: https://doi.org/10.1016/j.procs.2024.03.058

I. Hasbiyati, R. Desri, and M. D. Gamal, “PRE-EMPTIVE GOAL PROGRAMMING METHOD FOR OPTIMIZING PRODUCTION PLANNING”, BAREKENG: J. Math. & App., vol. 17, no. 1, pp. 0065-0074, Apr. 2023.
DOI: https://doi.org/10.30598/barekengvol17iss1pp0065-0074

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  1. Wijayanti. et al. “Financial optimization modeling on asset liability management with weighted goal programming”, 2024, Decision Science Letters.
    DOI: http://dx.doi.org/10.5267/j.dsl.2024.7.004

N. Permatasari, S. Asy Syahidah, A. Leofiro Irfiansyah, and M. G. Al-Haqqoni, “PREDICTING DIABETES MELLITUS USING CATBOOST CLASSIFIER AND SHAPLEY ADDITIVE EXPLANATION (SHAP) APPROACH”, BAREKENG: J. Math. & App., vol. 16, no. 2, pp. 615-624, Jun. 2022.
DOI: https://doi.org/10.30598/barekengvol16iss2pp615-624

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  1. Tompra. et al. “Strategic Machine Learning Optimization for Cardiovascular Disease Prediction and High-Risk Patient Identification”, 2024, Algorithms.
    DOI: https://doi.org/10.3390/a17050178

D. Dalimunthe, I. Sulistiana, D. Saputra, H. Aldila, and S. Pririzki, “PROJECTION OF THE INFLATION RATE IN PANGKALPINANG CITY USING THE AUTOREGRESSIVE MOVING AVERAGE (ARMA)”, BAREKENG: J. Math. & App., vol. 17, no. 3, pp. 1513-1520, Sep. 2023.
DOI: https://doi.org/10.30598/barekengvol17iss3pp1513-1520

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  1. Zuhedi. et al.  “Forecasting air quality index (AQI) and air quality health index (AQHI) by time series models in Ahvaz, Iran”,  2024, Environmental Health Engineering and Management.
    DOI: http://dx.doi.org/10.34172/EHEM.2024.46
  2. Al-Khateeb. N. “Use Seasonal Autoregressive Integrated Moving Averages and Linear Regression to Forecast Jordan's Information Technology Revenue”, 2024, IEEE 30th International Conference on Telecommunications, ICT 2024.

A. Sari, S. Sifriyani, and M. Huda, “REGRESSION NONPARAMETRIC SPLINE ESTIMATION ON BLOOD GLUCOSE OF INPATIENTS DIABETES MELLITUS AT SAMARINDA HOSPITAL”, BAREKENG: J. Math. & App., vol. 17, no. 1, pp. 0147-0154, Apr. 2023.  
DOI: https://doi.org/10.30598/barekengvol17iss1pp0147-0154

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  1. Sifriyani. et al. “Selection of optimal knot point and best geographic weighted on geographically weighted spline nonparametric regression model”, 2024, MethodsX.
    DOI: https://doi.org/10.1109/ICT62760.2024.10606127

R. Wibowo, K. Nisa, H. Venelia, and W. Warsono, “ROBUST CLUSTERING OF COVID-19 PANDEMIC WORLDWIDE”, BAREKENG: J. Math. & App., vol. 16, no. 2, pp. 687-694, Jun. 2022.
DOI: https://doi.org/10.30598/barekengvol16iss2pp687-694

Cited by:

  1. Saidi. et al. “Environmental-based diseases of students in urban and rural areas, Lampung province, Indonesia”, 2023, International Journal of Innovative Research and Scientific Studies.
    DOI: https://doi.org/10.53894/ijirss.v6i2.1249

E. Halim and L. Zakaria, “SAWI TRANSFORMATION FOR SOLVING A SYSTEM OF LINEAR ORDINARY DIFFERENTIAL EQUATIONS”, BAREKENG: J. Math. & App., vol. 17, no. 4, pp. 2171-2186, Dec. 2023.
DOI: https://doi.org/10.30598/barekengvol17iss4pp2171-2186

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  1. Al-Wadi. et al. “Mittag-Leffler Functions and the Sawi Transform: A New Approach to Fractional Calculus”, 2024, WSEAS Transactions on Mathematics.
    DOI: https://doi.org/10.37394/23206.2024.23.85

M. Putera Khano, D. Saputro, S. Sutanto, and A. Wibowo, “SENTIMENT ANALYSIS WITH LONG-SHORT TERM MEMORY (LSTM) AND GATED RECURRENT UNIT (GRU) ALGORITHMS”, BAREKENG: J. Math. & App., vol. 17, no. 4, pp. 2235-2242, Dec. 2023.
DOI: https://doi.org/10.30598/barekengvol17iss4pp2235-2242

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  1. Yibeyin. et al. “Public opinion mining in social media about Ethiopian broadcasts using deep learning”, 2024, Scientific Reports.
    DOI: https://doi.org/10.1038/s41598-024-76542-3

K. Lestari, M. Utami, and M. Yudhanegara, “SIMPLE ALGORITHM TO CONSTRUCT CIRCULAR CONFIDENCE REGIONS IN CORRESPONDENCE ANALYSIS USING R”, BAREKENG: J. Math. & App., vol. 16, no. 1, pp. 065-074, Mar. 2022.
DOI: https://doi.org/10.30598/barekengvol16iss1pp065-074

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  1. Afrianti. et al. “Elliptic Confidence on Correspondence Analysis Stainless Steels Corrosion