ARTIFICIAL BEE COLONY DALAM PEMODELAN DAN OPTIMASI: KAJIAN BIBLIOMETRIK
DOI:
https://doi.org/10.30587/indexia.v7i1.9711Keywords:
Artificial Bee Colony, prediksi harga emas, analisis bibliometrik, optimasi, inflasiAbstract
Penelitian ini menyajikan analisis bibliometrik terhadap tren penelitian yang berkaitan dengan algoritma Artificial Bee Colony (ABC) dalam pemodelan prediksi ekonomi. Sebanyak 40 artikel ilmiah yang diterbitkan antara tahun 2020 hingga 2024 dianalisis untuk mengidentifikasi pola keterkaitan kata kunci serta bidang aplikasi. Hasilnya menunjukkan bahwa ABC telah banyak diterapkan dalam bidang teknik dan optimasi energi, namun penerapannya dalam bidang ekonomi—terutama untuk prediksi harga emas berbasis indikator makroekonomi—masih jarang dijumpai. Melalui visualisasi jaringan, kata kunci ekonomi seperti “inflasi” dan “harga emas” tampak memiliki koneksi yang lemah dibanding klaster teknik. Hal ini menunjukkan adanya peluang pengembangan penelitian selanjutnya. Kajian ini juga menekankan kemampuan adaptif ABC dalam menangani data yang bersifat non-linier dan dinamis, yang sangat relevan untuk prediksi ekonomi. Penelitian menyimpulkan bahwa terdapat peluang signifikan untuk mengembangkan model prediksi ekonomi berbasis algoritma ABC, khususnya dalam mendukung pengambilan keputusan strategis pada kondisi pasar yang tidak pasti.
References
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[19] A. Aurasopon, C. Takeang, and W. Khamsen, “Enhanced Local Search for Bee Colony Optimization in Economic Dispatch with Smooth Cost Functions,” Processes, vol. 13, no. 3, p. 787, Mar. 2025, doi: 10.3390/pr13030787.
[20] L. Huo, Y. Xie, and J. Li, “An Innovative Deep Learning Futures Price Prediction Method with Fast and Strong Generalization and High-Accuracy Research,” Appl. Sci., vol. 14, no. 13, p. 5602, Jun. 2024, doi: 10.3390/app14135602.
[21] X. Gu, “Application Research for Multiobjective Low-Carbon Flexible Job-Shop Scheduling Problem Based on Hybrid Artificial Bee Colony Algorithm,” IEEE Access, vol. 9, pp. 135899–135914, 2021, doi: 10.1109/ACCESS.2021.3117270.
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[23] S. W. Lingga, S. Sutarman, and O. Darnius, “Modelling of Subject Scheduling Systems Using Hybrid Artificial Bee Colony Algorithm,” Sinkron, vol. 7, no. 3, pp. 1599–1608, Jul. 2023, doi: 10.33395/sinkron.v7i3.12560.
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[25] I. C. Ferreira et al., “Artificial Bee Colony Algorithm Applied to Dynamic Flexible Job Shop Problems,” in Information Processing and Management of Uncertainty in Knowledge-Based Systems, vol. 1237, M.-J. Lesot, S. Vieira, M. Z. Reformat, J. P. Carvalho, A. Wilbik, B. Bouchon-Meunier, and R. R. Yager, Eds., in Communications in Computer and Information Science, vol. 1237. , Cham: Springer International Publishing, 2020, pp. 241–254. doi: 10.1007/978-3-030-50146-4_19.
[26] K. Zhu, L. D. Li, and M. Li, “School Timetabling Optimisation Using Artificial Bee Colony Algorithm Based on a Virtual Searching Space Method,” Mathematics, vol. 10, no. 1, p. 73, Dec. 2021, doi: 10.3390/math10010073.
[27] S. Forouzandeh, K. Berahmand, E. Nasiri, and M. Rostami, “A Hotel Recommender System for Tourists Using the Artificial Bee Colony Algorithm and Fuzzy TOPSIS Model: A Case Study of TripAdvisor,” Int. J. Inf. Technol. Decis. Mak., vol. 20, no. 01, pp. 399–429, Jan. 2021, doi: 10.1142/S0219622020500522.
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[29] W. Li, Y. Sun, T. Liu, and Y. Sun, “A honey bee requirements design study based on multi-objective optimization,” Adv. Eng. Technol. Res., vol. 4, no. 1, p. 426, Mar. 2023, doi: 10.56028/aetr.4.1.426.2023.
[30] X. Zhou, J. Lu, J. Huang, M. Zhong, and M. Wang, “Enhancing artificial bee colony algorithm with multi-elite guidance,” Inf. Sci., vol. 543, pp. 242–258, Jan. 2021, doi: 10.1016/j.ins.2020.07.037.
[31] R. M. Aziz, “Application of nature inspired soft computing techniques for gene selection: a novel frame work for classification of cancer,” Soft Comput., vol. 26, no. 22, pp. 12179–12196, Nov. 2022, doi: 10.1007/s00500-022-07032-9.
[32] Y. Xu, S. Wan, and F. Dong, “Problem-specific knowledge based artificial bee colony algorithm for the rectangle layout optimization problem in satellite design,” presented at the The 34th International Conference on Software Engineering and Knowledge Engineering, Jul. 2022, pp. 564–567. doi: 10.18293/SEKE2022-014.
[33] M. Xu, W. Wang, H. Wang, S. Xiao, and Z. Huang, “Multipopulation artificial bee colony algorithm based on a modified probability selection model,” Concurr. Comput. Pract. Exp., vol. 33, no. 13, p. e6216, Jul. 2021, doi: 10.1002/cpe.6216.
[34] C. Zhao, H. Zhao, G. Wang, and H. Chen, “Improvement SVM Classification Performance of Hyperspectral Image Using Chaotic Sequences in Artificial Bee Colony,” IEEE Access, vol. 8, pp. 73947–73956, 2020, doi: 10.1109/ACCESS.2020.2987865.
[35] Y. Celik, “An enhanced artificial bee colony algorithm based on fitness weighted search strategy,” Automatika, vol. 62, no. 3–4, pp. 300–310, Oct. 2021, doi: 10.1080/00051144.2021.1938477.
[36] H. Lotfi, “Multi‐objective energy management approach in distribution grid integrated with energy storage units considering the demand response program,” Int. J. Energy Res., vol. 44, no. 13, pp. 10662–10681, Oct. 2020, doi: 10.1002/er.5709.
[37] Y. Huang et al., “A quantum artificial bee colony algorithm based on quantum walk for the 0–1 knapsack problem,” Phys. Scr., vol. 99, no. 9, p. 095132, Sep. 2024, doi: 10.1088/1402-4896/ad6b55.
[38] A. A. Ewees, M. Abd Elaziz, M. A. A. Al-Qaness, H. A. Khalil, and S. Kim, “Improved Artificial Bee Colony Using Sine-Cosine Algorithm for Multi-Level Thresholding Image Segmentation,” IEEE Access, vol. 8, pp. 26304–26315, 2020, doi: 10.1109/ACCESS.2020.2971249.
[39] W. Zhang and Y. Li, “A Many-Objective Artificial Bee Colony Algorithm Based on Adaptive Grid,” IEEE Access, vol. 9, pp. 97138–97151, 2021, doi: 10.1109/ACCESS.2021.3093381.
[40] R. D. Apnena and F. Faujiyah, “A Good Relative Percentage Increase (RPI) of Variant Job Scheduling Using Artificial Bee Colony (ABC),” J. Appl. Intell. Syst., vol. 7, no. 1, pp. 80–88, May 2022, doi: 10.33633/jais.v7i1.5989.
[41] A. H. Alaidi, C. S. Soong Der, and Y. Weng Leong, “Systematic Review of Enhancement of Artificial Bee Colony Algorithm Using Ant Colony Pheromone,” Int. J. Interact. Mob. Technol. IJIM, vol. 15, no. 16, p. 172, Aug. 2021, doi: 10.3991/ijim.v15i16.24171.
[42] R. Durgut, “Improved Binary Artificial Bee Colony Algorithm,” 2020, arXiv. doi: 10.48550/ARXIV.2003.11641.
[43] B. Akay, D. Karaboga, B. Gorkemli, and E. Kaya, “A survey on the Artificial Bee Colony algorithm variants for binary, integer and mixed integer programming problems,” Appl. Soft Comput., vol. 106, p. 107351, Jul. 2021, doi: 10.1016/j.asoc.2021.107351.
[2] H. Du, P. Liu, Q. Cui, X. Ma, and H. Wang, “PID Controller Parameter Optimized by Reformative Artificial Bee Colony Algorithm,” J. Math., vol. 2022, no. 1, p. 3826702, Jan. 2022, doi: 10.1155/2022/3826702.
[3] I. Brajević, P. S. Stanimirović, S. Li, and X. Cao, “A Hybrid Firefly and Multi-Strategy Artificial Bee Colony Algorithm:,” Int. J. Comput. Intell. Syst., vol. 13, no. 1, p. 810, 2020, doi: 10.2991/ijcis.d.200612.001.
[4] Badan Pusat Statistik, “Kurs Tengah Beberapa Mata Uang Asing Terhadap Rupiah di Bank Indonesia dan Harga Emas di Jakarta (Rupiah), 2024,” Badan Pusat Statistik. Accessed: May 13, 2025. [Online]. Available: https://www.bps.go.id/id/statistics-table/2/Mjg0IzI%3D/kurs-tengah-beberapa-mata-uang-asing-terhadap-rupiah-di-bank-indonesia-dan-harga-emas-di-jakarta.html?
[5] Reuters, “Indonesia cbank says policy aims to ensure inflation controlled, rupiah stable,” Reuters. Accessed: May 13, 2025. [Online]. Available: https://www.reuters.com/business/finance/indonesia-cbank-says-policy-aims-ensure-inflation-controlled-rupiah-stable-2024-06-14/
[6] H. Hardiansyah, “A modified ABC algorithm for solving optimal power flow problem,” Serbian J. Electr. Eng., vol. 17, no. 2, pp. 199–211, 2020, doi: 10.2298/SJEE2002199H.
[7] M. Y. Erten and İ. Eke, “Application of Economic Load Distribution to Power Systems with the Artificial Bee Colony Algorithm Approach,” Türk Doğa Ve Fen Derg., vol. 12, no. 3, pp. 60–65, Sep. 2023, doi: 10.46810/tdfd.1303531.
[8] M. A. Kamarposhti, H. Shokouhandeh, I. Colak, S. S. Band, and K. Eguchi, “Optimal Location of FACTS Devices in Order to Simultaneously Improving Transmission Losses and Stability Margin Using Artificial Bee Colony Algorithm,” IEEE Access, vol. 9, pp. 125920–125929, 2021, doi: 10.1109/ACCESS.2021.3108687.
[9] R. A. A. Saleh and R. Akay, “Artificial bee colony algorithm with directed scout,” Soft Comput., vol. 25, no. 21, pp. 13567–13593, Nov. 2021, doi: 10.1007/s00500-021-06062-z.
[10] A. Thilakar and G. Govindasamy, “Optimization Based Control of Pressure regulation for Mechanical Ventilation System using Artificial Bee Colony Optimization (ABC) algorithm,” Mar. 09, 2022, In Review. doi: 10.21203/rs.3.rs-1419966/v1.
[11] vishnu suresh, P. Janik, and M. Jasinski, “Metaheuristic approach to optimal power flow using mixed integer distributed ant colony optimization,” Arch. Electr. Eng., Jan. 2024, doi: 10.24425/aee.2020.133029.
[12] B. Yildiz et al., “Analysis of electricity consumption and thermal storage of domestic electric water heating systems to utilize excess PV generation,” Energy, vol. 235, p. 121325, Nov. 2021, doi: 10.1016/j.energy.2021.121325.
[13] M. Mei and Z. Chen, “Evaluation and selection of sustainable hydrogen production technology with hybrid uncertain sustainability indicators based on rough-fuzzy BWM-DEA,” Renew. Energy, vol. 165, pp. 716–730, Mar. 2021, doi: 10.1016/j.renene.2020.11.051.
[14] T. Bayraktar, F. Ersöz, and C. Kubat, “Effects of memory and genetic operators on Artificial Bee Colony algorithm for Single Container Loading problem,” Appl. Soft Comput., vol. 108, p. 107462, Sep. 2021, doi: 10.1016/j.asoc.2021.107462.
[15] N. T. T. Binh, “Comparative Analysis of Gold, Art, and Wheat as Inflation Hedges,” J. Risk Financ. Manag., vol. 17, no. 7, p. 270, Jun. 2024, doi: 10.3390/jrfm17070270.
[16] W. Cao, J. Xu, Y. Zhang, S. Zhao, C. Xu, and X. Wu, “A Hybrid Discrete Artificial Bee Colony Algorithm Based on Label Similarity for Solving Point-Feature Label Placement Problem,” ISPRS Int. J. Geo-Inf., vol. 12, no. 10, p. 429, Oct. 2023, doi: 10.3390/ijgi12100429.
[17] Z. Peng, Y. Huang, and Y. Zhong, “A discrete artificial bee colony algorithm for quadratic assignment problem,” J. High Speed Netw., vol. 28, no. 2, pp. 131–141, May 2022, doi: 10.3233/JHS-220684.
[18] G. Arora, H. Kaur, H. Emadifar, S. Roudgarnejad, and H. Emadifar, “Forecasting Pollution Using Numerical Simulation Implementing Artificial Bee Colony Optimization,” Discrete Dyn. Nat. Soc., vol. 2023, pp. 1–10, Aug. 2023, doi: 10.1155/2023/5844407.
[19] A. Aurasopon, C. Takeang, and W. Khamsen, “Enhanced Local Search for Bee Colony Optimization in Economic Dispatch with Smooth Cost Functions,” Processes, vol. 13, no. 3, p. 787, Mar. 2025, doi: 10.3390/pr13030787.
[20] L. Huo, Y. Xie, and J. Li, “An Innovative Deep Learning Futures Price Prediction Method with Fast and Strong Generalization and High-Accuracy Research,” Appl. Sci., vol. 14, no. 13, p. 5602, Jun. 2024, doi: 10.3390/app14135602.
[21] X. Gu, “Application Research for Multiobjective Low-Carbon Flexible Job-Shop Scheduling Problem Based on Hybrid Artificial Bee Colony Algorithm,” IEEE Access, vol. 9, pp. 135899–135914, 2021, doi: 10.1109/ACCESS.2021.3117270.
[22] Y. A. Sarumaha, D. R. Firdaus, and I. Moridu, “The Application of Artificial Bee Colony Algorithm to Optimizing Vehicle Routes Problem,” J. Inf. Syst. Technol. Eng., vol. 1, no. 1, pp. 11–15, May 2023, doi: 10.61487/jiste.v1i1.9.
[23] S. W. Lingga, S. Sutarman, and O. Darnius, “Modelling of Subject Scheduling Systems Using Hybrid Artificial Bee Colony Algorithm,” Sinkron, vol. 7, no. 3, pp. 1599–1608, Jul. 2023, doi: 10.33395/sinkron.v7i3.12560.
[24] X.-M. Han, L.-L. Wang, L. Zheng, Y.-Y. Dang, and L.-M. Wang, “Bee Spices Transition with Rapid Global Optimization Algorithm,” DEStech Trans. Comput. Sci. Eng., no. cmso, Jan. 2020, doi: 10.12783/dtcse/cmso2019/33604.
[25] I. C. Ferreira et al., “Artificial Bee Colony Algorithm Applied to Dynamic Flexible Job Shop Problems,” in Information Processing and Management of Uncertainty in Knowledge-Based Systems, vol. 1237, M.-J. Lesot, S. Vieira, M. Z. Reformat, J. P. Carvalho, A. Wilbik, B. Bouchon-Meunier, and R. R. Yager, Eds., in Communications in Computer and Information Science, vol. 1237. , Cham: Springer International Publishing, 2020, pp. 241–254. doi: 10.1007/978-3-030-50146-4_19.
[26] K. Zhu, L. D. Li, and M. Li, “School Timetabling Optimisation Using Artificial Bee Colony Algorithm Based on a Virtual Searching Space Method,” Mathematics, vol. 10, no. 1, p. 73, Dec. 2021, doi: 10.3390/math10010073.
[27] S. Forouzandeh, K. Berahmand, E. Nasiri, and M. Rostami, “A Hotel Recommender System for Tourists Using the Artificial Bee Colony Algorithm and Fuzzy TOPSIS Model: A Case Study of TripAdvisor,” Int. J. Inf. Technol. Decis. Mak., vol. 20, no. 01, pp. 399–429, Jan. 2021, doi: 10.1142/S0219622020500522.
[28] M. Ajuji, A. Abubakar, and D. Emmanuel Useni, “Experimental Analysis of Time Complexity and Solution Quality of Swarm Intelligence Algorithm,” Jul. 24, 2020, MATHEMATICS & COMPUTER SCIENCE. doi: 10.20944/preprints202007.0593.v1.
[29] W. Li, Y. Sun, T. Liu, and Y. Sun, “A honey bee requirements design study based on multi-objective optimization,” Adv. Eng. Technol. Res., vol. 4, no. 1, p. 426, Mar. 2023, doi: 10.56028/aetr.4.1.426.2023.
[30] X. Zhou, J. Lu, J. Huang, M. Zhong, and M. Wang, “Enhancing artificial bee colony algorithm with multi-elite guidance,” Inf. Sci., vol. 543, pp. 242–258, Jan. 2021, doi: 10.1016/j.ins.2020.07.037.
[31] R. M. Aziz, “Application of nature inspired soft computing techniques for gene selection: a novel frame work for classification of cancer,” Soft Comput., vol. 26, no. 22, pp. 12179–12196, Nov. 2022, doi: 10.1007/s00500-022-07032-9.
[32] Y. Xu, S. Wan, and F. Dong, “Problem-specific knowledge based artificial bee colony algorithm for the rectangle layout optimization problem in satellite design,” presented at the The 34th International Conference on Software Engineering and Knowledge Engineering, Jul. 2022, pp. 564–567. doi: 10.18293/SEKE2022-014.
[33] M. Xu, W. Wang, H. Wang, S. Xiao, and Z. Huang, “Multipopulation artificial bee colony algorithm based on a modified probability selection model,” Concurr. Comput. Pract. Exp., vol. 33, no. 13, p. e6216, Jul. 2021, doi: 10.1002/cpe.6216.
[34] C. Zhao, H. Zhao, G. Wang, and H. Chen, “Improvement SVM Classification Performance of Hyperspectral Image Using Chaotic Sequences in Artificial Bee Colony,” IEEE Access, vol. 8, pp. 73947–73956, 2020, doi: 10.1109/ACCESS.2020.2987865.
[35] Y. Celik, “An enhanced artificial bee colony algorithm based on fitness weighted search strategy,” Automatika, vol. 62, no. 3–4, pp. 300–310, Oct. 2021, doi: 10.1080/00051144.2021.1938477.
[36] H. Lotfi, “Multi‐objective energy management approach in distribution grid integrated with energy storage units considering the demand response program,” Int. J. Energy Res., vol. 44, no. 13, pp. 10662–10681, Oct. 2020, doi: 10.1002/er.5709.
[37] Y. Huang et al., “A quantum artificial bee colony algorithm based on quantum walk for the 0–1 knapsack problem,” Phys. Scr., vol. 99, no. 9, p. 095132, Sep. 2024, doi: 10.1088/1402-4896/ad6b55.
[38] A. A. Ewees, M. Abd Elaziz, M. A. A. Al-Qaness, H. A. Khalil, and S. Kim, “Improved Artificial Bee Colony Using Sine-Cosine Algorithm for Multi-Level Thresholding Image Segmentation,” IEEE Access, vol. 8, pp. 26304–26315, 2020, doi: 10.1109/ACCESS.2020.2971249.
[39] W. Zhang and Y. Li, “A Many-Objective Artificial Bee Colony Algorithm Based on Adaptive Grid,” IEEE Access, vol. 9, pp. 97138–97151, 2021, doi: 10.1109/ACCESS.2021.3093381.
[40] R. D. Apnena and F. Faujiyah, “A Good Relative Percentage Increase (RPI) of Variant Job Scheduling Using Artificial Bee Colony (ABC),” J. Appl. Intell. Syst., vol. 7, no. 1, pp. 80–88, May 2022, doi: 10.33633/jais.v7i1.5989.
[41] A. H. Alaidi, C. S. Soong Der, and Y. Weng Leong, “Systematic Review of Enhancement of Artificial Bee Colony Algorithm Using Ant Colony Pheromone,” Int. J. Interact. Mob. Technol. IJIM, vol. 15, no. 16, p. 172, Aug. 2021, doi: 10.3991/ijim.v15i16.24171.
[42] R. Durgut, “Improved Binary Artificial Bee Colony Algorithm,” 2020, arXiv. doi: 10.48550/ARXIV.2003.11641.
[43] B. Akay, D. Karaboga, B. Gorkemli, and E. Kaya, “A survey on the Artificial Bee Colony algorithm variants for binary, integer and mixed integer programming problems,” Appl. Soft Comput., vol. 106, p. 107351, Jul. 2021, doi: 10.1016/j.asoc.2021.107351.
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Published
2025-05-18
How to Cite
Siregar, G. M. A., & Imammuzzikra, I. (2025). ARTIFICIAL BEE COLONY DALAM PEMODELAN DAN OPTIMASI: KAJIAN BIBLIOMETRIK. Indexia, 7(1), 69–80. https://doi.org/10.30587/indexia.v7i1.9711
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