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Journal for Technology and Science
Published by Antis Publisher
ISSN : -     EISSN : 30474337     DOI : https://doi.org/10.61796/ipteks.v1i1
Core Subject : Engineering,
Aerospace Engineering Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Electrical & Electronics Engineering
The Journal for Technology and Science published by Antis Publisher eISSN 3047-4337 is a scholarly journal that focuses on original research articles in natural science and technology relevant to industries and communities in developing countries. Released annually in March, August, and November, it is inclusive of scientists, researchers, educators, and scholars. The journals scope encompasses various topics addressing current challenges encountered by industries, governments, and communities in developing nations. With a commitment to advancing knowledge and fostering innovation, The Journal for Technology and Science welcomes submissions that contribute to the advancement of science, technology, and their applications in addressing societal needs and promoting sustainable development in emerging economies
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 95 Documents
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ANALYTICAL AND SIMULATED STUDY OF A BIPOLAR TRANSISTOR'S INPUT CHARACTERISTICS USING NI MULTISIM 14.2 PROGRAM Abdullah Z. Nuri
Journal for Technology and Science Vol. 3 No. 3 (2026): Journal for Technology and Science
Publisher : PT ANTIS INTERNATIONAL PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61796/ipteks.v3i3.527

Abstract

Objective: This research presents a comprehensive study of the input characteristics of an NPN transistor in a common-emitter configuration using NI Multisim 14.2 at a constant output voltage across the transistor (VCE = 2 V). Method: The research methodology focuses on the increase in base current (Ig)   as a result of the voltage increase (VBE). The switching voltage, i.e., the critical operating point, is determined using the dynamic resistance equation. Results: The results obtained from NI Multisim 14.2 and the mathematical equations for a silicon diode that accepts or consumes a lower voltage (approximately 0.8 V) are crucial. Novelty: The most important conclusion of this research is that these calculations, relating to base current, emitter-base voltage, and a low dynamic resistance (7.58 Ω), form the basis for designing electronic circuits and the switching and amplification processes they undergo.
ANALYZE RISKS IN AWS/AZURE ENVIRONMENTS USING AI-DRIVEN MONITORING AND ANOMALY DETECTION Samira Alam Chowdhury; Mahbub Hasan; Fahmida Akter; Rabia Akter Sukhi; Abdul Rahman Mohammad
Journal for Technology and Science Vol. 1 No. 1 (2024): Journal for Technology and Science
Publisher : PT ANTIS INTERNATIONAL PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61796/ipteks.v1i1.551

Abstract

Objective: In this research we explore the use of AI-driven monitoring and anomaly detection for analyzing risks in AWS and Azure environments, with an exploratory study on the Cloud Data Center Workload Dataset. The research will explore the following objectives: understanding the behavior of cloud workloads, detecting abnormal workload behavior, investigating the correlation between cloud monitoring parameters, and evaluating the risks of the operational environment of cloud infrastructure. Method: The methodology is based on an exploratory research approach with data preprocessing, exploratory data analysis, statistical analysis, and implementation of the monitoring framework using AI and R Studio. To interpret the behavior of the cloud, multiple visualizations were developed: workload distribution, resource utilization analysis, anomaly monitoring dashboard, correlation network, and operational risk dashboard. Results: The results indicate that changes in CPU usage, network traffic, memory consumption, processor temperature, or virtual machine activity affect the performance of the cloud and uncover potential points of vulnerability for operation. Moreover, with AI-powered monitoring one can easily detect abnormal patterns of resource consumption and continuously assess operational risk by combining the monitoring parameters into a composite risk index. In conclusion, the study demonstrates that AI support in monitoring bolsters cybersecurity management practices, enhances infrastructure visibility, aids in early detection of anomalies, and aids in proactive management of operational risks across AWS and Azure cloud platforms. Novelty: This study integrates AI-driven monitoring and anomaly detection with cloud workload analysis to evaluate operational risks across both AWS and Azure environments using the Cloud Data Center Workload Dataset.
THE USE OF GRAPHENE AND SMART COATINGS TO PROTECT SURFACES FROM CORROSION Ahmed A. Qanbar
Journal for Technology and Science Vol. 3 No. 3 (2026): Journal for Technology and Science
Publisher : PT ANTIS INTERNATIONAL PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61796/ipteks.v3i3.558

Abstract

Objective: Coatings that utilize graphene nanomaterials are considered one of the most efficient materials for corrosion prevention of metals. Unfortunately, the usage of these coatings is not commercially feasible since the process of synthesis is very expensive due to imperfection in the process itself. Method: In this regard, few-layer graphene nanomaterials that were synthesized using the process of self-propagation of high-temperature synthesis were used to create coatings. In a salt spray chamber, the effectiveness of these coatings in preventing metal from corroding was examined. Results: It has been demonstrated that the resulting coatings are far more effective than polymeric coatings, which are mostly composed of epoxy resin, at preventing corrosion on steel surfaces. Novelty: A few-layer graphene particle-based coating hypothesis with excellent efficiency was put fortacross both AWS and Azure environments using the Cloud Data Center Workload Dataset.
GLOBAL WARMING, ITS CAUSES, ENVIROMENTAL EFFECT AND SOLUTION TO AVOID THIS PHENOMENA Atiaf Sami Saeed
Journal for Technology and Science Vol. 3 No. 4 (2026): Journal for Technology and Science
Publisher : PT ANTIS INTERNATIONAL PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61796/ipteks.v3i4.569

Abstract

Objective: A serious environmental problem, global warming is mostly brought on by an increase in greenhouse gases in the atmosphere. Among the gases that trap heat and contribute to a gradual rise in global temperatures are carbon dioxide (CO₂), nitrous oxide (N2O), and methane (CH₄). Method: These emissions are mostly resulting from human activities such as burning fossil fuels, industrial processes, and deforestation. Results: The planet is consequently facing dire repercussions, such as melting polar ice, increasing sea levels, severe weather, and dangers to human health and biodiversity. Novelty: Sustainable environmental policies, the use of renewable energy sources, and international cooperation are all necessary to combat global warming. For future generations to live on a stable and healthy planet, immediate action is necessary to lessen its effects.
COMPARATIVE IN VITRO EVALUATION OF LL-37 AND STANDARD ANTIBIOTICS AGAINST ESCHERICHIA COLI ISOLATES FROM URINARY TRACT INFECTIONS: A SUSTAINABLE HEALTHCARE PERSPECTIVE Sura A Al-Ganahi; Bushra Hamad Obaid; Robeena Farzand
Journal for Technology and Science Vol. 3 No. 4 (2026): Journal for Technology and Science
Publisher : PT ANTIS INTERNATIONAL PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61796/ipteks.v3i4.580

Abstract

Objective: This study aimed to evaluates the in vitro antibacterial activity of the human cathelicidin peptide LL-37 towards E. coli which isolated from UTI patients, as well as to compare its effect with the common antibiotics like amoxicillin-clavulanic acid (AMC), aztreonam (ATM), and ceftriaxone (CRO). Method: In well diffusion test, LL-37 showed a clear inhibition zone, revealing strong antimicrobial activity. The time-kill assay also authorized its bactericidal action, showing a ≥3 log₁₀ CFU/mL reduction within few hours and almost complete killing after 24 hours. Results: The mean zone diameter for LL-37 (18.4 ± 1.7 mm) was obviously greater than AMC (13.2 ± 2.1 mm) (p < 0.01) and higher than ATM (16.1 ± 1.9 mm), although the difference with ATM was not significant (p > 0.05). CRO confirmed smaller zone (14.3 ± 1.8 mm), which kind of highlight the stronger effect of LL-37. Novelty:    The results generally supports the idea that LL-37 could be a promising alternative antimicrobial agent, showing strong activity than some of the usual antibiotics against E. coli. Its possible role in treating drug-resistant UTIs still need more studying, especially now when resistance to β-lactam antibiotics keeps increasing.
STUDY OF MINERAL LEVELS OF INFECTED PEOPLE WITH H. PYLORI Asraa Nadhum Abd-Alsatar; Baraa Jalil Saeed; Zainab Falih Dakhil; Khairunnuur Fairuz Azman
Journal for Technology and Science Vol. 3 No. 4 (2026): Journal for Technology and Science
Publisher : PT ANTIS INTERNATIONAL PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61796/ipteks.v3i4.582

Abstract

Objective: Results from earlier research on the relationship between Helicobacter pylori (H. pylori), as well as osteoporosis. A few studies have examined H's effects. The current study aims to detect the effects of H. pylori on patients' mineral levels, particularly copper. Blood levels of copper, zinc, calcium, and magnesium are affected by pylori infection. Methods: The blood samples were collected using sterile containers. A H. pylori diagnosis was performed using a stool culture, and blood magnesium and calcium levels were measured using a Fujifilm device (Japan) while Zinc and copper were measured using commercially accessible colorimetric analyze kit (ABC Diagnostic Egypt). Results: This study showed significant decreased (P< 0.05) in blood levels of magnesium, calcium and copper in H. pylori positive patients (1.85 ± 0.44 mg/dl, 2.07 ± 0.16 mg/dl and 144.9±28.92 µg/dl respectively) compared with control (2.94 ± 0.32mg/dl, 3.88 ± 0.31mg/dl, 170.23±25.95µg/dl respectively) in contrast to zinc concentration that considerably augmented in H. pylori positive sick (372.5±111.2µg/dl) compared with control (368.9±120.1 µg/dl). Furthermore, H. pylori contagion related with reduction in blood ranks of magnesium, calcium, zinc and copper compared with patients with peptic ulcer caused by other etiologies but not significantly (P > 0.05). Novelty: We institute H. pylori contagion might be related with an augmented hazard of emerging osteoporosis throughout their role in malabsorption of essential minerals in patients food.
AN INVESTIGATION OF THE POTENTIAL ANTI-PROLIFERATIVE AND ANTI-INVASIVE EFFECTS OF NANO-GENISTEIN ON MCF-7 BREAST CANCER CELLS Nawres Adnan Abdulameer; Baydaa Talib Mahdi; Shoabith, H. J; Ibtissem Ben Amara
Journal for Technology and Science Vol. 3 No. 4 (2026): Journal for Technology and Science
Publisher : PT ANTIS INTERNATIONAL PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61796/ipteks.v3i4.583

Abstract

Objective: The purpose of this work was to analyze the effects of nanogenistein on the proliferation and metastasis of MCF-7 human breast most cancers cells, as well as to understand the underlying molecular mechanisms. Method: The MCF-7 human breast most cancers mobile panel was supplemented with 10% foetal bovine serum (FBS), 1% penicillin-streptomycin, and 1% American Type Culture Collection (ATCC) non-crucial amino acids. The cells had been incubated at a temperature of 37°C in a managed surroundings with 5% carbon dioxide and were frequently refreshed each 3-4 days. Results: The consequences showed that nanogenistein correctly suppressed the growth of MCF-7 breast cancer cells. The results obtained from the dosage and length of remedy offer critical insights into the efficacy of nanogenistein within the treatment of breast cancer. Novelty: Additional investigation is essential to examine the capability therapeutic use of this nanoformulation in treating breast cancer, as it has shown more suitable anti-proliferative and anti-invasive effects.
MOLECULAR IDENTIFICATION OF CLINICAL ISOLATES OF FUNGI CAUSING MUCORMYCOSIS IN DIABETIC PATIENTS Laila Jasim Shaebth; Roaa Abid Jaythoom; Ganim A. Abass
Journal for Technology and Science Vol. 3 No. 4 (2026): Journal for Technology and Science
Publisher : PT ANTIS INTERNATIONAL PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61796/ipteks.v3i4.584

Abstract

Objective: The objectives of this study were to evaluate molecular and traditional diagnostic methods in the diagnosis of mucormycosis in the diabetic population, as well as characterization of demographic and clinical profile. Method: The study was performed on 100 diabetics with clinical suspicion of mucormycosis. Patient demographic, clinical features and fungal identification outcome based data were explored. Molecular approaches were carried out at this level to identify species in addition to traditional culture techniques including PCR amplification of ITS and 18S rRNA gene sections. Results: The mean age of cohort patients was 58.3 ± 12.7 years and 62% were male. The rhino-orbital-cerebral region was responsible for 78% of the infections with 15% involvement in the lungs, 5% in the cutaneous area, and 2% into the gastrointestinal tract. While traditional culture tests revealed Mucorales in 88 (88%) of cases, molecular identification through PCR assays detected DNA in 95 (95%) of clinical specimens. Based on sequence analysis, Rhizopus oryzae (54.7%), Rhizopus microsporus (18.9%), as well as Mucor circinelloides (12.6%) were the most frequent species of Mucorales. Compared to conventional culture approaches, molecular techniques helped identify the species closer to the origin and were faster and accurate. Novelty: The identification of the appropriate Mucorales species in patients with a history of diabetes with mucormycosis needs a sensitive and accurate molecular diagnostics method to determine it, indicated in this work. Relevance for patient management and the treatment of targeted antifungals are indicated from the results.
BEST SOURCE OF PRECIPITATION DATA AS AN ALTERNATIVE TO GROUND STATION MONITORING: (DHI QAR GOVERNORATE – IRAQ) CASE STUDY Mohammed Azeez; Hisham M.Jawad Al Sharaa; Abdul Razzak T.Zboon
Journal for Technology and Science Vol. 3 No. 4 (2026): Journal for Technology and Science
Publisher : PT ANTIS INTERNATIONAL PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61796/ipteks.v3i4.585

Abstract

Objective: In this research, six sources (TRMM, IMERG, PERSIANN-CDR, GSMaP, and ERA5) of precipitation data collected by satellites/global reanalysis were evaluated to find the best source of precipitation data as an alternative method to monitoring from GWS. Method: The evaluation was based on two methods; the first is the use of statistical metrics (Pearson's Correlation Coefficient (CoC), Mean Error (ME), mean absolute error (MAE), Root Mean Square Error (RMSE), and Bias (BIAS) and the second is the use of precipitation data quality metrics Probability of Detection (POD), the False Alarm Ratio (FAR), and the Critical Success Index (CSI). In both methods, monitoring adopted precipitation data from GWS as the source data (the most accurate), and compared it with estimation data (extracted from remote sensing (RE) techniques /reanalysis data). Results: Based on the results of the quality metrics, it was found that CHIRPS is the most reliable alternative to GWSs for precipitation data, followed by TRMM and IMERG. However, the statistical metrics results indicated that ERA5 outperformed the other data sources. Novelty: The study concludes that quality measures are better at verifying the validity of data when it comes to temporal and numerical discrepancies between GWSs and RE techniques/reanalyzed data, as these measures are not sensitive to the number of observations. Therefore, it was suggested to use CHIRPS data as an alternative source to study drought and hydrology instead of relying exclusively on GWS.
IDENTIFYING HAZARDOUS TRAFFIC CRASHES AREA UTILIZING THE APPLICATION OF GIS Sawsan A. AL-Omrani; Hamsa Zubaidi
Journal for Technology and Science Vol. 3 No. 4 (2026): Journal for Technology and Science
Publisher : PT ANTIS INTERNATIONAL PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61796/ipteks.v3i4.586

Abstract

Objective: This study aims to explore the problems related to the current design of the city of Al-Diwaniyah-Iraq, address the problems it faces of road deficiencies and traffic crashes, and find alternative solutions to them. Method: The program (ArcMap 10.8.2 and ArcGIS pro-3.0.2) and aerial photos were used from the Al-Diwaniyah municipality Directorate and spatial analysis to carry out this study, and the data from the Al-Diwaniyah Teaching Hospital. Results: The number of crashes in the City of Al-Diwaniyah reached 14,243 from 2015 to 2023. According to the results, using hot spot analysis, the hottest area with the highest number of crashes is the Al-Jamieih district, which has a rate of 50.13 crashes per mile on paved roads only. The results showed that the hottest region was the Al-Jumhurii Al-Sharqii, with a rate of 9.5 crashes per mile. The road area is small, with 7.65 miles occupied by 654 crashes. Novelty: The crash rate was also estimated by roads in general (paved and unpaved).

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