cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Rahadian Zainul
Contact Email
rahadianzmsiphd@fmipa.unp.ac.id
Phone
+6281261385385
Journal Mail Official
eksakta@ppj.unp.ac.id
Editorial Address
Jl Prof Dr Hamka Air Tawar Barat
Location
Kota padang,
Sumatera barat
INDONESIA
Eksakta : Berkala Ilmiah Bidang MIPA
Published by Universitas Negeri Padang
ISSN : -     EISSN : 25497464     DOI : https://doi.org/10.24036/eksakta/
Core Subject : Science, Education, Agriculture, Social, Engineering,
Agriculture, Biological Sciences & Forestry Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Energy Engineering Environmental Science Materials Science & Nanotechnology Mathematics Mechanical Engineering
Eksakta : Berkala Ilmiah Bidang MIPA (E-ISSN : 2549-7464) is an open access journal and peer-reviewed that publishes either original article or reviews. The journal is dedicated towards dissemination of knowledge related to the advancement in scientific research. The prestigious interdisciplinary editorial board reflects the diversity of subjects covered in this journal. Under the realm of science and technology, the coverage includes environmental science, pure and applied mathematics, agricultural research and engineering, biology, biotechnology, bioinformatics, Healthcare sciences (including clinical medicine, preventive medicine & public health), physics, biophysics, computer science, chemistry and bioengineering, to name a few. This Journal Is Published at 3 Month intervals on January-Marc, April-June, July-September and October-December
Arjuna Subject : Umum - Umum
Articles 402 Documents
 35   36   37   38   39 
Vehicle Inspection Forecasting Through Temporal Signal Processing and Ensemble Machine Learning Bambang Sismanto; Nurhayati Nurhayati; Raden Roro Hapsari Peni Agustin Tjahyaningtijas; Ja'afar Mahmud; Raimundo Eider Figueredo; Atul Varshney
EKSAKTA: Berkala Ilmiah Bidang MIPA Vol. 27 No. 03 (2026): Eksakta : Berkala Ilmiah Bidang MIPA (E-ISSN : 2549-7464)
Publisher : Faculty of Mathematics and Natural Sciences (FMIPA), Universitas Negeri Padang, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/eksakta/vol27-iss03/706

Abstract

Vehicle inspection services are essential for maintaining transportation safety and regulatory compliance. However, daily inspection volumes in developing regions exhibit high stochastic fluctuations due to operational closures and reporting inconsistencies, making direct daily forecasting unreliable. This study proposes a weekly vehicle inspection forecasting framework using ensemble machine learning with temporal signal processing. Accurate forecasting is critical for resource allocation, staffing, and service management. The dataset covers January 2020 to December 2024 from Malang Regency, Indonesia, aggregated into 258 weekly observations. Weekly aggregation acts as a low-pass filter (ω_c = 1/7 day⁻¹) to reduce high-frequency noise while preserving seasonal dynamics. Four regression models were evaluated: Random Forest (R² = 0.6198, MAE = 69.85), XGBoost (R² = 0.7198, MAE = 55.68), Gradient Boosting (R² = 0.7373, MAE = 46.41), and a weighted ensemble (R² = 0.7164, MAE = 55.89). Conventional regression methods including Linear Regression, Ridge, and Lasso were also tested as baselines. Gradient Boosting achieved the best performance. The findings indicate that tree-based ensemble models capture non-linear temporal dynamics more effectively than conventional approaches. This study demonstrates that ensemble machine learning with signal processing provides practical forecasting tools for transportation service planning.
Integration of Risk Thresholds into Enterprise Risk Management (ERM) Implementation in An Energy Company Willy Januardi; Putu Dana Karningsih; Demi Ramadian
EKSAKTA: Berkala Ilmiah Bidang MIPA Vol. 27 No. 03 (2026): Eksakta : Berkala Ilmiah Bidang MIPA (E-ISSN : 2549-7464)
Publisher : Faculty of Mathematics and Natural Sciences (FMIPA), Universitas Negeri Padang, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/eksakta/vol27-iss03/708

Abstract

All state-owned enterprises are obligated to implement risk management effectively. Risk management implementation can be assessed using the Risk Maturity Index (RMI). The 2024 RMI assessment at one of the state-owned energy subsidiaries indicated that the Company is at the "Developing" stage (score 2.9 out of 5). Critical weaknesses occurred because the company had not conducted a comprehensive risk capacity calculation. Risk capacity constitutes a key component of an organization's risk threshold and serves as the basis for determining risk appetite, risk tolerance, and risk limits. This study aims to identify an appropriate method for calculating the risk threshold value and to apply the selected approach for the year 2026. Risk capacity is calculated based on the Company's financial statements from 2019 to 2024 using a Modified Altman Z-Score approach is proposed to determine the financial distress point as a measure of risk capacity. The resulting risk capacity was estimated at IDR 1.42 trillion and subsequently validated using the Value at Risk (VaR) method. The findings of this study are expected to provide a quantitative basis for the Company in formulating its 2026 risk strategy, while also contributing to the improvement of its RMI score.  
Implementation of Smart Lectures for Chemistry Teachers of the MGMP in Padang Panjang City Rahadian Zainul; Budhi Oktavia; Dony Novaliendry; Amalia Putri Lubis
EKSAKTA: Berkala Ilmiah Bidang MIPA Vol. 23 No. 04 (2022): Eksakta: Berkala Ilmiah Bidang MIPA (E-ISSN : 2549-7464)
Publisher : Faculty of Mathematics and Natural Sciences (FMIPA), Universitas Negeri Padang, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/eksakta/vol23-iss02/295

Abstract

The Chemistry Teachers Working Group (MGMP) of Padang Panjang City serves as a forum for senior high school chemistry teachers in Padang Panjang to collaboratively develop their professional careers and scientific competencies. The teachers' enthusiasm to improve more effective, high-quality, and innovative learning was demonstrated through their request for training in designing and implementing E-Learning in senior high school chemistry instruction. The methods used in the introduction and development program related to E-Learning through the flagship product, Smart Lecture, were conducted through lectures, question-and-answer sessions, mentoring, and workshops. The results of the community service program showed that: (1) the training participants were able to understand the preparation, design, and implementation of high-quality and interactive E-Learning in senior high school chemistry instruction, thereby improving the quality of chemistry learning; (2) the chemistry teachers of the MGMP of Padang Panjang City were able to motivate other teachers to diversify the strategies used in senior high school chemistry instruction; and (3) chemistry teachers were able to apply and implement senior high school chemistry learning strategies using E-Learning.
Artificial Intelligence in Teacher Soft-Skill Development: A Review of Educational Initiatives in West Sumatra Rahadian Zainul; Dony Novaliendry; Budhi Oktavia; Fitrah Mey Harmi Siregar; Maiti Faddila; Hidayatul Husna; Delsya Helvira Suci
EKSAKTA: Berkala Ilmiah Bidang MIPA Vol. 25 No. 04 (2024): Eksakta : Berkala Ilmiah Bidang MIPA (E-ISSN : 2549-7464)
Publisher : Faculty of Mathematics and Natural Sciences (FMIPA), Universitas Negeri Padang, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/eksakta/vol23-iss02/301

Abstract

This study examines the application of artificial intelligence (AI) in developing teachers' soft skills in West Sumatra. AI technology plays an important role in supporting the improvement of communication skills, classroom management, and critical thinking through personalized training and instant feedback. This study uses a qualitative descriptive method with a case study approach to analyze the effectiveness of AI in supporting teacher competency development. The results of the study show that although AI is able to provide positive impacts, the main challenges faced are the digital infrastructure gap and low digital literacy among teachers, especially in remote areas. However, with the support of the right policies and more inclusive training, AI has great potential to improve the quality of education in West Sumatra.
Artificial Intelligence-Based E-Learning in Chemistry Learning: A Review of Implementation in High Schools Rahadian Zainul; Dony Novaliendry; Budhi Oktavia; Fitrah Mey Harmi Siregar; Maiti Faddila; Hidayatul Husna; Delsya Helvira Suci
EKSAKTA: Berkala Ilmiah Bidang MIPA Vol. 25 No. 04 (2024): Eksakta : Berkala Ilmiah Bidang MIPA (E-ISSN : 2549-7464)
Publisher : Faculty of Mathematics and Natural Sciences (FMIPA), Universitas Negeri Padang, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/eksakta/vol25-iss04/307

Abstract

This study analyzes the challenges and opportunities for implementing artificial intelligence (AI)-based e-learning in West Sumatra, with global and regional comparisons. Infrastructure gaps are a major obstacle, with 30% of the region lacking adequate internet access, especially in rural areas. In addition, 25% of teachers do not have adequate training in the use of AI technology, hampering the effectiveness of its implementation in schools. Other challenges identified are low digital literacy and limited access to technological devices, which impact 20-25% of schools. This study uses a comparative approach and the results are expected to provide insights and recommendations for policy makers in improving infrastructure, teacher training, and digital literacy, in order to accelerate the adoption of AI in education in West Sumatra.
Use of Nanoemulsion-Based Merkubung (Macaranga gigantea) Sap Extract Inhibitor to Improve Corrosion Inhibition Efficiency on Steel Adetra Febriani Naibaho; Alya Adiningtyas Putri; Dian Natasya; Grescia Angelita Sinaga; Wan Nurul Fadillah; Diah Riski Gusti
EKSAKTA: Berkala Ilmiah Bidang MIPA Vol. 27 No. 02 (2026): Eksakta : Berkala Ilmiah Bidang MIPA (E-ISSN : 2549-7464)
Publisher : Faculty of Mathematics and Natural Sciences (FMIPA), Universitas Negeri Padang, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/eksakta/vol27-iss02/471

Abstract

Corrosion frequently affects steel. Although it is an unavoidable natural process, its progression can be managed and its rate reduced. One strategy for mitigating corrosion is the use of corrosion inhibitors. Inhibitors derived from organic sources are widely employed because of their high inhibition efficiency. Sap extract from Merkubung (Macaranga gigantea) can function as a corrosion inhibitor due to the presence of secondary metabolites such as tannins. Tannins are promising corrosion inhibitors since their –OH groups enable them to form complexes with metal surfaces. This study evaluates the performance of a nanoemulsion containing Merkubung sap extract as a steel corrosion inhibitor. The methodology includes extraction, nanoemulsion formulation, and assessment of corrosion rate and inhibition efficiency at various concentrations and temperatures. In this work, nanoemulsion‑based inhibitors were applied to improve corrosion protection of steel. The nanoemulsion demonstrated the lowest corrosion rate (0.902 mg cm⁻² h⁻¹) and the highest inhibition efficiency (66.05 %) at 500 ppm and 30 °C. These results show that the nanoemulsion enhances inhibition performance, making it an effective corrosion inhibitor.
Molecular Viability Assay: Improving Leprosy Diagnosis beyond Current Gold Standard Clara Imaniar; Ibnu Agus Ariyanto; Yeva Rosana
EKSAKTA: Berkala Ilmiah Bidang MIPA Vol. 26 No. 04 (2025): Eksakta : Berkala Ilmiah Bidang MIPA (E-ISSN : 2549-7464)
Publisher : Faculty of Mathematics and Natural Sciences (FMIPA), Universitas Negeri Padang, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/eksakta/vol26-iss04/568

Abstract

Neglected tropical diseases are still part of the health problems faced by the world. One of the neglected tropical diseases that has not yet reached 100% elimination is leprosy. Mycobacterium leprae is the pathogen responsible for leprosy, a chronic infectious disease that affects the skin and peripheral nerves and can lead to significant disability if left untreated. Currently, the gold standard for diagnosis is detecting acid-fast bacilli (AFB) with Ziehl-Neelsen staining; however, this method cannot distinguish between living and dead bacteria, complicating treatment assessment, relapse detection, and resistance tracking. Therefore, more accurate diagnostic instruments that can differentiate bacterial viability are needed. Since M.leprae cannot be cultured in artificial media, molecular-based assays are promising tools for rapid diagnosis. This study aims to identify recent assays for assessing bacterial viability in leprosy. Articles used are limited to the publication year between 2019 until 2024 from databases such as PubMed, ProQuest, Scopus and Google Scholar, using PRISMA methods. After filtration, from 143 articles we found 5 articles that discussed the viability of leprosy-causing bacteria. The selected studies showed that molecular assays to determine bacterial viability can be used and explored to strengthen the existing gold standard for monitoring treatment of leprosy patients
Gastrointestinal Dysfunction after Traumatic Brain Injury: Mechanisms Linking The Gut, Inflammation, and the HPA Axis Dwi Hastuti; Sri Widia A Jusman; Reni Paramita
EKSAKTA: Berkala Ilmiah Bidang MIPA Vol. 26 No. 04 (2025): Eksakta : Berkala Ilmiah Bidang MIPA (E-ISSN : 2549-7464)
Publisher : Faculty of Mathematics and Natural Sciences (FMIPA), Universitas Negeri Padang, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/eksakta/vol26-iss04/601

Abstract

Traumatic brain injury (TBI) is a major global health problem that often leads to systemic complications beyond neurological damage, notably gastrointestinal (GI) dysfunction. The mechanisms linking TBI to GI complications remain inconclusive. We conducted a systematic review using current clinical evidence on the pathophysiological processes underlying post-TBI GI dysfunction, focusing on two principal mechanisms: inflammatory-oxidative processes and hypothalamic–pituitary–adrenal (HPA) axis alterations. A comprehensive search was conducted through PubMed, Cochrane Library, and Scopus to identify eligible studies. Evidence indicates that surges of proinflammatory mediators and chemokines, along with reduced anti-inflammatory mediators, drive systemic immune imbalance. Moreover, iNOS upregulation and gut microbiota dysbiosis contribute to mucosal injury. Concurrently, HPA axis dysregulation exerts a bidirectional impact. Elevated ACTH and cortisol reflect an intact stress response that may stabilise metabolism if combined with early enteral nutrition, whereas critical illness-related corticosteroid insufficiency (CIRCI) and hypergastrinemia are strongly associated with gastrointestinal bleeding and mortality. Together, these findings underscore the synergistic role of inflammatory and endocrine disturbances in driving gastrointestinal vulnerability after TBI. Understanding these mechanisms is crucial for developing biomarker-based monitoring and targeted interventions to improve prognosis and reduce GI-related complications in TBI patients.
Identification of Aquifer Potential Using Electrical Resistivity Tomography (ERT) Method in the Karst Area of Giritontro, Wonogiri, Central Java Nadia Putri Nur Asri; Rahma Puspa; Anggara Putra Prasetya; Budy Santoso
EKSAKTA: Berkala Ilmiah Bidang MIPA Vol. 27 No. 01 (2026): Eksakta : Berkala Ilmiah Bidang MIPA (E-ISSN : 2549-7464)
Publisher : Faculty of Mathematics and Natural Sciences (FMIPA), Universitas Negeri Padang, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/eksakta/vol27-iss01/605

Abstract

Karst regions exhibit unique geological characteristics due to the dissolution of carbonate rocks, lending to the formation of complex underground aquifer systems. This study was conducted in BayemharjoVillage, Giritontro Sub-district, Wonogiri Regency part of the Sewu Karst Zone to identify aquifer potential using the dipole dipole electrical resistivity method. The survey was carried out along three measurement lines ranging from 216 to 710 meters in length, utilizing 72 electrodes with 10 meter spacing. The research involved data acquisition, processing, and interpretation using specialized resistivity software. Interpretation result revealed rock layers with potential as aquifers, particulary those with porous and permeable lithologies such as sandy limestone. Additionally, the presence of aquitard and aquiclude layers was identified, acting as barriers or flow paths for groundwater movement. The resistivity patterns and geological structures indicate the existence of groundwater pockets at various depths, which are crucial for managing clean water resources in this drought-prone region. The resistivity method prove to be effective in delineating aquifers zone within the complex karst environment.
Smart Law Application Engineering for Post-Disaster Recovery in Sumatra Refa Swinta Maharani; Inggrit Fernandes
EKSAKTA: Berkala Ilmiah Bidang MIPA Vol. 26 No. 04 (2025): Eksakta : Berkala Ilmiah Bidang MIPA (E-ISSN : 2549-7464)
Publisher : Faculty of Mathematics and Natural Sciences (FMIPA), Universitas Negeri Padang, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/eksakta/vol26-iss04/607

Abstract

Flood disasters frequently occur in West Sumatra and cause multidimensional impacts on micro, small, and medium enterprises (MSMEs). Beyond physical and economic damage, MSMEs face serious administrative and legal challenges, particularly in restoring trademark legality due to lost documents, disrupted archives, and limited access to legal services. These conditions weaken legal protection and reduce business competitiveness during post-disaster recovery. This study aims to engineer a Smart Law application, a digital portal integrated with artificial intelligence (AI), designed to support post-disaster trademark legality recovery for MSMEs in Sumatra. The research employed a research and development (R&D) approach consisting of needs assessment, system design, prototype development, and limited user testing. Data were collected through literature review, regulatory analysis, interviews with disaster-affected MSMEs, and field observations, and analyzed using a qualitative descriptive method. The results indicate that the Smart Law application is capable of delivering structured legal information, contextual guidance, and AI-based preliminary recommendations tailored to MSME conditions. The application functions as an initial legal assistance tool that improves accessibility, efficiency, and understanding of trademark recovery procedures in post-disaster contexts. This study contributes to the development of AI-assisted legal services and digital solutions for MSME resilience in disaster-prone regions.

Page 37 of 41 | Total Record : 402

 35   36   37   38   39 

Filter by Year

2017 2026


Reset
Filter By Issues
All Issue Vol. 27 No. 04 (2026): Eksakta : Berkala Ilmiah Bidang MIPA (E-ISSN : 2549-7464) In Progress Vol. 27 No. 03 (2026): Eksakta : Berkala Ilmiah Bidang MIPA (E-ISSN : 2549-7464) In Progress Vol. 27 No. 03 (2026): Eksakta : Berkala Ilmiah Bidang MIPA (E-ISSN : 2549-7464) Vol. 27 No. 02 (2026): Eksakta : Berkala Ilmiah Bidang MIPA (E-ISSN : 2549-7464) Vol. 27 No. 01 (2026): Eksakta : Berkala Ilmiah Bidang MIPA (E-ISSN : 2549-7464) Vol. 26 No. 04 (2025): Eksakta : Berkala Ilmiah Bidang MIPA (E-ISSN : 2549-7464) Vol. 26 No. 03 (2025): Eksakta : Berkala Ilmiah Bidang MIPA (E-ISSN : 2549-7464) Vol. 26 No. 02 (2025): Eksakta : Berkala Ilmiah Bidang MIPA (E-ISSN : 2549-7464) Vol. 26 No. 01 (2025): Eksakta : Berkala Ilmiah Bidang MIPA (E-ISSN : 2549-7464) Vol. 25 No. 04 (2024): Eksakta : Berkala Ilmiah Bidang MIPA (E-ISSN : 2549-7464) Vol. 25 No. 03 (2024): Eksakta : Berkala Ilmiah Bidang MIPA (E-ISSN : 2549-7464) Vol. 25 No. 02 (2024): Eksakta : Berkala Ilmiah Bidang MIPA (E-ISSN : 2549-7464) Vol. 25 No. 01 (2024): Eksakta : Berkala Ilmiah Bidang MIPA (E-ISSN : 2549-7464) Vol. 24 No. 04 (2023): Eksakta : Berkala Ilmiah Bidang MIPA (E-ISSN : 2549-7464) Vol. 24 No. 03 (2023): Eksakta : Berkala Ilmiah Bidang MIPA (E-ISSN : 2549-7464) Vol. 24 No. 02 (2023): Eksakta : Berkala Ilmiah Bidang MIPA (E-ISSN : 2549-7464) Vol. 24 No. 01 (2023): Eksakta : Berkala Ilmiah Bidang MIPA (E-ISSN : 2549-7464) Vol. 23 No. 04 (2022): Eksakta: Berkala Ilmiah Bidang MIPA (E-ISSN : 2549-7464) Vol. 23 No. 03 (2022): Eksakta: Berkala Ilmiah Bidang MIPA (E-ISSN : 2549-7464) Vol. 23 No. 02 (2022): Eksakta : Berkala Ilmiah Bidang MIPA (E-ISSN : 2549-7464) Vol. 23 No. 01 (2022): Eksakta : Berkala Ilmiah Bidang MIPA (E-ISSN : 2549-7464) Vol. 23 No. 04 (2022): Eksakta: Berkala Ilmiah Bidang MIPA Vol. 22 No. 4 (2021): Eksakta : Berkala Ilmiah Bidang MIPA (E-ISSN : 2549-7464) Vol. 22 No. 3 (2021): Eksakta : Berkala Ilmiah Bidang MIPA (E-ISSN : 2549-7464) Vol. 22 No. 2 (2021): Eksakta : Berkala Ilmiah Bidang MIPA (E-ISSN : 2549-7464) Vol. 22 No. 1 (2021): Eksakta : Berkala Ilmiah Bidang MIPA (E-ISSN : 2549-7464) Vol. 21 No. 2 (2020): Eksakta : Berkala Ilmiah Bidang MIPA (E-ISSN : 2549-7464) Vol. 21 No. 1 (2020): Eksakta : Berkala Ilmiah Bidang MIPA (E-ISSN : 2549-7464) Vol. 20 No. 2 (2019): Eksakta : Berkala Ilmiah Bidang MIPA (E-ISSN : 2549-7464) Vol. 20 No. 1 (2019): Eksakta : Berkala Ilmiah Bidang MIPA (E-ISSN : 2549-7464) Vol. 19 No. 2 (2018): Eksakta : Berkala Ilmiah Bidang MIPA (E-ISSN : 2549-7464) Vol. 19 No. 1 (2018): Eksakta : Berkala Ilmiah Bidang MIPA (E-ISSN : 2549-7464) Vol. 18 No. 02 (2017): Eksakta : Berkala Ilmiah Bidang MIPA (E-ISSN : 2549-7464) Vol. 18 No. 01 (2017): Eksakta : Berkala Ilmiah Bidang MIPA (E-ISSN : 2549-7464) More Issue