Výsledky vyhledávání - "Hengki Tamando Sihotang"

Akademický článek

Determination of the Shortest Path Using the Ant Colony Optimization (ACO) Algorithm Approach

Autor: Hengki Tamando Sihotang

Publikováno v: ComTech, Vol 12, Iss 2, Pp 123-133 (2021)

Distribution is one of the essential activities in business because it determines the price of products or goods in the market. So, choosing the shortest path is considered one of the most important things in business, especially distributors. PT Eve

Externí odkaz: https://doaj.org/article/0bcc268130b3408eae801d4bc00b1716

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Data driven approach for stochastic DEA in machine learning and artificial intelligence to improve the accuracy, stability, and interpretability of the model

Autor: Hengki Tamando Sihotang, Zhimin Huang, Aisyah Alesha

Publikováno v: Idea: Future Research. 1:01-04

The novelty of this research lies in the integration of machine learning and artificial intelligence techniques into stochastic DEA models. While traditional DEA models have been widely used to measure the efficiency of decision-making units, they ma

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::bf73fbc3554b3ee24e62dcc22fea97a0
https://doi.org/10.35335/idea.v1i1.1

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Integrating the neural network into the stochastic DEA model

Autor: Hengki Tamando Sihotang, J. Lavemaau, Fristi Riandari, Firta Sari Panjaitan, Sonya Enjelina Gorat, Juliana Batubara

Publikováno v: Idea: Future Research. 1:5-13

The novelty of integrating neural networks (NNs) into the stochastic DEA model lies in the ability to address some of the limitations of traditional DEA models and improve the accuracy and efficiency of efficiency measurement and prediction. By integ

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::0f341dfe4253cbc61dca858e008f3f9a
https://doi.org/10.35335/idea.v1i1.2

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Efficient optimization algorithms for various machine learning tasks, including classification, regression, and clustering

Autor: Hengki Tamando Sihotang, Marc Albert, Fristi Riandari, Larry Rendell

Publikováno v: Idea: Future Research. 1:14-24

The research on efficient optimization algorithms for machine learning is novel because it addresses several gaps in previous research and proposes new solutions to improve the efficiency and accuracy of machine learning models. Firstly, the proposed

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::633b5bbd38cc287acef10845032b77ff
https://doi.org/10.35335/idea.v1i1.3

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Integration of stochastic and robust optimization techniques into DEA model for more accurate and reliable efficiency estimation

Autor: Hengki Tamando Sihotang, Patricius Michaud Felix, Aisyah Alesha, Joan De Mathew

Publikováno v: Jurnal Teknik Informatika C.I.T Medicom. 14:1-4

Efficiency assessment is vital to assessing decision-making units (DMUs) in numerous sectors. DEA is a prominent non-parametric efficiency assessment tool. Traditional DEA models assume deterministic inputs and outputs, ignoring real-world uncertaint

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::0c1445baae0714b0b97839ce946606d2
https://doi.org/10.35335/cit.vol14.2022.229.pp1-4

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Data driven approach for stochastic data envelopment analysis

Autor: Hengki Tamando Sihotang, Syahril Efendi, Muhammad Zarlis, Herman Mawengkang

Publikováno v: Bulletin of Electrical Engineering and Informatics. 11:1497-1504

Decision making based on data driven deals with a large amount of data will evaluate the process's effectiveness. Evaluate effectiveness in this paper is measure of performance efficiency of data envelopment analysis (DEA) method in this study is the

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7faaddde5d31024f1652c963fb3d1e62
https://doi.org/10.11591/eei.v11i3.3660

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Forecasting the Number of Students in Multiple Linear Regressions

Autor: Husain Husain, Hengki Tamando Sihotang, Fristi Riandari

Publikováno v: MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer. 21:249-256

The most important element of higher education was students, therefore every university must continue to improve services in the future, and one of them was by using decision support. This case could be done by utilizing the University of Big Data. P

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c2510c74690ff6fcedfdc458c4dbaab0
https://doi.org/10.30812/matrik.v21i2.1348

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Plant Disease Diagnosis Expert System Cardamom (Ammomum Cardamomum l.) Using The Naive Bayes Method Web-Based

Autor: Calvin Berkat Iman Hulu, Hengki Tamando Sihotang

Publikováno v: Jurnal Mandiri IT. 10:68-73

Diseases and pests on cardamom plants is one of the diseases and pests that can seriously attack cardamom plants. Cardamom plant diseases and pests can be diagnosed through the symptoms that are currently being experienced by the cardamom or through

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::02e863f812486670052b72b97f247a90
https://doi.org/10.35335/mandiri.v10i2.94

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