Hermanto is affiliated with Universitas Bakti Indonesia in Banyuwangi, Indonesia. His Google Scholar profile identifies educational statistics and mathematics education as research interests, while a coauthored publication addresses rainfall forecasting using extreme gradient boosting. This article presents his research profile in the context of the Global Scientist Day Awards without asserting nomination, selection, or receipt of an award.[1][2]
Abstract
This article examines the academic profile of Hermanto, affiliated with Universitas Bakti Indonesia, within the context of the Global Scientist Day Awards. Available sources connect his work with mathematics education, educational statistics, and applied computational research. A verified publication investigates monthly rainfall forecasting in Banyuwangi using extreme gradient boosting. Supplied publication and citation figures are retained as unverified information because they differ from the retrieved Google Scholar record.[1][2]
Keywords
The principal indexing terms are Hermanto, Universitas Bakti Indonesia, Indonesia, data science, mathematics education, educational statistics, extreme gradient boosting, rainfall forecasting, Google Scholar, and Global Scientist Day Awards. These terms describe the supplied institutional context, documented publication themes, and recognition setting; they do not establish award status or verified rankings.
Introduction
Hermanto’s academic record combines educational interests with an identifiable application of machine learning. His affiliation appears on both the supplied Scholar profile and the rainfall forecasting publication. The awards website provides the event context, but the reviewed material does not establish an individual award decision concerning this researcher or nomination.[1]
Research Profile
The linked Google Scholar profile identifies Hermanto with Universitas Bakti Indonesia Banyuwangi and lists educational statistics and mathematics education as interests. Its publication entries include learning technologies, mathematical problem solving, and statistical analysis. Data science is therefore presented here as the supplied classification, not the profile’s stated primary disciplinary designation.[1][2]
Research Contributions
A documented contribution is Hermanto’s coauthorship of research applying extreme gradient boosting to monthly rainfall forecasting in Banyuwangi. This study connects computational prediction with a geographically specific environmental problem. The available evidence establishes participation in that publication, but does not isolate individual author responsibilities or demonstrate broader operational adoption independently. [3]
Publications
Fauziah, Hermanto, and Sukmarini published “Extreme Gradient Boosting pada Peramalan Pola Curah Hujan Bulanan Kabupaten Banyuwangi” in Jurnal Kridatama Sains dan Teknologi, volume six, issue two, pages 430–440, in 2024. This verified example does not independently substantiate the supplied total of forty-six documents attributed here.[1] [3]
Research Impact
The supplied figures report 46 documents, six citations, and an h-index of four. The retrieved Scholar profile instead displays two citations and an h-index of one. These records cannot be treated as equivalent measurements. Without a dated source for the supplied figures, quantitative impact remains unresolved rather than independently verified. [3]
Award Suitability
The organizer describes nomination procedures and several award categories on its website. Hermanto’s documented publication could support a research portfolio submitted for assessment, but suitability cannot be established from publication counts alone. No reviewed source confirms his nomination, eligibility determination, selection, or award receipt; those outcomes require direct documentary evidence. [3][1][2]
Conclusion
Available evidence supports Hermanto’s institutional affiliation, educational research interests, and coauthorship of an applied forecasting study. It does not resolve the supplied bibliometric discrepancies or establish award status. Accordingly, this article serves as a sourced academic profile, preserving a clear distinction between documented scholarship, supplied information, and prospective recognition considerations.