Article Per Year (5 Year)
p-Index From 2021 - 2026
0.408
P-Index
This Author published in this journals
All Journal Jurnal Penelitian Sains Teknologi
Adi Jufriansah
Faculty of Mathematics and Natural Sciences, Universitas Gadjah Mada
Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Library & Information Science Materials Science & Nanotechnology Mechanical Engineering Physics Transportation

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
NuminaMath 7B: Revolutionizing Math Solving with Integrated Reasoning Advanced Generative AI Tools and Python REPL Adi Jufriansah; Irwan Akib; Naufal Ishartono; Azmi Khusnani; Tanti Diyah Rahmawati; Edwin Ariesto Umbu Malahina; Osniman Paulina Maure; Nova Tri Romadloni
Jurnal Penelitian Sains Teknologi Vol. 2, No. 1, March 2026
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/saintek.v2i1.15728

Abstract

The efficacy of NuminaMath 7B, an AI model that was created to address mathematical challenges, is assessed in this investigation. We evaluated the model's accuracy and efficiency against conventional methods through experiments that produced quantitative data. Qualitative data were collected through surveys and interviews with users to gain insight into their experiences and pinpoint areas for improvement. The survey results indicated that users found NuminaMath 7B to be pertinent, effective, and user-friendly, as evidenced by the exceptionally high average scores in user experience (95), perception of features and interface (90), and additional feedback (85). NuminaMath 7B was able to offer mathematical solutions with logical and detailed explanations as a result of the model's development through two phases of adjustments, which were conducted using the Chain of Thought (CoT) methodology and inspiration from the Tool-Integrated Reasoning Agent (ToRA) framework. Testing demonstrated that the model achieved a score of 29 out of 50 in the AI Math Olympiad competition, despite encountering difficulties in resolving more intricate problems. This study underscores the significance and urgency of AI technology, particularly in the field of mathematics, as well as the significant potential of AI models to facilitate a more comprehensive comprehension of mathematical concepts.
Temporal and Spatial Dynamics of Volcanic Aerosols: Absorbing Aerosol Index (AAI) Analysis During the Eruption of Mount Lewotobi Laki-laki Azmi Khusnani; Adi Jufriansah; Dedi Suwandi Wahab; Fazaki Ramadhani Anwar Samana; Sitti Arafah Bahruddin; Zaina Anwar; Wingki Nursilawati; Anggun Syafira Arifin
Jurnal Penelitian Sains Teknologi Vol. 2, No. 1, March 2026
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/saintek.v2i1.15729

Abstract

In November 2024, the eruption of Mount Lewotobi Laki-laki on Flores Island, Indonesia, resulted in the release of substantial volcanic aerosols, including sulfur dioxide (SO₂) and volcanic debris. These aerosols impacted the environment, health, and aviation activities. The objective of this investigation is to examine the temporal and spatial dynamics of volcanic aerosols by employing the Absorbing Aerosol Index (AAI) in conjunction with TROPOMI satellite data (Sentinel-5P). The methodologies employed are as follows: spatial-temporal analysis with Google Earth Engine (GEE), aerosol dispersion simulation with the HYSPLIT model, and data processing with the Sentinel Application Platform (SNAP). The results indicated a substantial increase in volcanic activity from November 8th to 11th, 2024, as evidenced by an ash column that reached a height of as much as 10,945 m. The distribution of aerosols was influenced by atmospheric dynamics, with high concentrations observed in the vicinity of Mount Lewotobi Laki-laki and extending to the east-southeast. Although the level of volcanic activity declined in late November, aerosol concentrations were still detected in the atmosphere. This investigation offers critical insights into the distribution of volcanic aerosols during the eruption and its effects on disaster risk mitigation and air quality. It is anticipated that these discoveries will facilitate the implementation of more sustainable and effective risk management strategies for volcanic eruptions.
Co-Authors Anggun Syafira Arifin Azmi Khusnani Dedi Suwandi Wahab Edwin Ariesto Umbu Malahina Fazaki Ramadhani Anwar Samana Irwan Akib Naufal Ishartono Nova Tri Romadloni Osniman Paulina Maure Sitti Arafah Bahruddin Tanti Diyah Rahmawati Wingki Nursilawati Zaina Anwar