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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 13 Documents
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Search results for , issue "Vol. 1 No. 3 (2024): Journal for Technology and Science" : 13 Documents clear
STUDY OF PROPERTIES CDS NANOCRYSTALLINE THIN FILM AS A PHOTODETECTOR Abdulelah , Haider; Shabeeb , Ghufran Mohammad
Journal for Technology and Science Vol. 1 No. 3 (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.v1i3.159

Abstract

It has been discussing the use of cadmium sulfide (CdS) as a material for photodetectors. CdS is a direct bandgap II-VI semiconductor with desirable properties for photodetectors, including high sensitivity, fast response time, and wide spectral range from ultraviolet to near-infrared. X-ray diffraction analysis confirmed the cubic crystal structure of the porous CdS thin film. Scanning electron microscopy revealed a porous morphology with macropores ranging from 200-300 nm in size. The performance of the porous CdS photodetector was evaluated. Under visible light illumination, the device generated a photocurrent of 16 nA, with response times of around 5 seconds for both the rising and falling edges of the light-induced current
PHYSICAL CHEMICAL CHARACTERISTICS OF JELLY CANDY HYDROXYAPATITE FROM YELLOWFIN TUNA FISH BONE WASTE (THUNNUS ALBACARES) izar, Shaflina; Faisal , Hendri; Khairunisah , Dinda; Nasution , Rizka Hasmi
Journal for Technology and Science Vol. 1 No. 3 (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.v1i3.165

Abstract

Introduction:  jelly candy is a soft-textured candy that is generally given to children with the aim of optimal growth and development with calcium. Hydroxyapatite content in the preparation of jelly candy can be achieved by using the addition of ingredients containing calcium that come from nature, one of which is by using yellowfin tuna fish bone meal as the main ingredient to increase the calcium content in  jelly candy. The aim of the research was to find out that hydroxyapatite from yellowfin tuna bones (Thunnus albacares) can be formulated in the form of jelly candy to determine the hydroxyapatite of yellowfin tuna bones (Thunnus albacares) contains calcium. The research method uses laboratory experimental research. The treatment in this research is a dosage formulation of jelly candy from the bones of yellowfin tuna (Thunnus albacares). The results showed that the higher the concentration of yellowfin tuna bone meal (Thunnus albacares) the higher the calcium levels. The conclusion of this research is that hydroxyapatite of yellowfin tuna bones (Thunnus albacares) can be formulated into dosage forms jelly candy. Yellowfin tuna bone hydroxyapatite (Thunnus albacares) contains calcium and the highest calcium content is in F3 (7%) with a value of 39.3%.
ENHANCING PVDF POLYMER PROPERTIES VIA VARIED BARIUM TITANATE MORPHOLOGIES AND SYNTHESIS TECHNIQUES: REVIEW Abdulelah, Haider; Sweah, Zainab J; Fouad, Firas; Modhi, Hussein
Journal for Technology and Science Vol. 1 No. 3 (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.v1i3.183

Abstract

Background: Polyvinylidene fluoride (PVDF) is widely utilized in electronic devices due to its piezoelectric properties, which can be enhanced through the incorporation of barium titanate (BT). However, the impact of various fabrication methods on the crystallinity and beta-phase content of PVDF/BT nanocomposites remains underexplored. Specific Background: Different manufacturing techniques, including 3D printing, electrospinning, solvent casting, and compression molding, influence the structural and functional properties of PVDF/BT composites. The crystallinity and beta-phase content of PVDF are critical for optimizing the dielectric and piezoelectric performance of these materials. Knowledge Gap: There is a lack of comprehensive studies comparing the effects of these fabrication techniques on the crystallinity and beta-phase enhancement of PVDF/BT composites, particularly concerning their dielectric, piezoelectric, and mechanical properties. Aims: This study aimed to investigate the impact of integrating BT into PVDF using various fabrication methods on the crystallinity and beta-phase formation. The goal was to determine how these modifications influence the material’s structural characteristics and, consequently, its electronic properties. Results: X-ray Diffraction (XRD) and Fourier-Transform Infrared Spectroscopy (FTIR) analyses revealed that 3D printing and electrospinning methods significantly enhanced the beta-phase content and crystallinity of PVDF/BT composites compared to solvent casting and compression molding. Scanning Electron Microscopy (SEM) confirmed improved morphological features in the PVDF matrix with these techniques. Novelty: This study provides new insights into how different fabrication methods can optimize the crystallinity and beta-phase of PVDF/BT nanocomposites, which are crucial for enhancing piezoelectric performance. Implications: The findings suggest that 3D printing and electrospinning are superior to traditional methods for fabricating PVDF/BT composites with enhanced piezoelectric properties. These results can guide the development of more efficient electronic devices by selecting appropriate fabrication techniques to achieve desired material properties.
ANALYSIS AND DESIGN OF ANDROID APPLICATIONS FOR PROCESSING CUSTOMER DATA IN PRINTING CV. SUMBER REZEKI Dohare, Meniada; Fauzi, Mohammad; Simanjuntak, Perlindungan
Journal for Technology and Science Vol. 1 No. 3 (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.v1i3.192

Abstract

General Background: CV. Sumber Rezeki, a printing company, currently processes customer orders manually, requiring customers to visit the shop and place orders face-to-face. This method is inefficient and inconvenient for both customers and administrators. Specific Background: There is a growing need for businesses to adopt digital systems to enhance customer service and streamline order processing. CV. Sumber Rezeki’s current system lacks the ability to handle customer data, item lists, and order reports efficiently, resulting in delays and miscommunication. Knowledge Gap: Despite the clear benefits of digital transformation in retail and service sectors, the implementation of such systems in small-to-medium-sized enterprises like CV. Sumber Rezeki has been limited. Aims: The aim of this research is to develop a system that improves customer service by simplifying and digitizing the ordering process, thereby making it faster and more efficient for both customers and the company’s administration. Results: The system design includes features for customer data management, item cataloging, and order tracking through a user-friendly interface. The software development employed a structured approach including system analysis, design, coding, testing (via black-box testing), and ongoing support. Novelty: This study introduces an order management system tailored for a small printing business, enabling customers to place orders remotely and allowing the business to manage these orders in real time. Implications: The implementation of this system increases operational efficiency, reduces face-to-face interaction requirements, and saves time for both customers and staff. Further research is needed to explore scalability and integration with other business processes, such as inventory management and customer feedback mechanisms.
EFFECT OF FISH PROTEIN HYDROLYSATE ON GROWTH, YIELD AND STORABILITY OF SOME FEMALE CUCUMBER HYBRIDS (Cucumis Sativus L) GROWN IN PLASTIC HOUSE IN BASRA Hassan , Mohammed Khazal; Al-Maliki , Abdul Hussein Qasim; Hamza, Hamza Abbas
Journal for Technology and Science Vol. 1 No. 3 (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.v1i3.200

Abstract

General Background: Cucumber (Cucumis sativus L.) is a widely cultivated vegetable, valued for its nutritional and economic significance. Specific Background: The application of biostimulants, such as fish protein hydrolysate, has gained attention for enhancing plant growth and yield. However, the impact of varying concentrations of fish protein hydrolysate on different cucumber hybrids remains underexplored. Knowledge Gap: Despite existing research on biostimulants, the specific effects of fish protein hydrolysate on hybrid cucumber performance, particularly in unheated plastic houses, are inadequately documented. Aims: This study aimed to evaluate the effects of different concentrations of fish protein hydrolysate on the growth and yield of three cucumber hybrids ("Super Faris," "Ballistic," and "Darina") during the winter agricultural season of 2023/2024. Results: Conducted in a randomized complete block design with six factorial treatments and three replicates, the results indicated that the "Darina" hybrid significantly outperformed the other hybrids in key growth parameters, including plant height, stem diameter, leaf count, fruit number, fruit weight, individual plant yield, total yield, and total dissolved solids. Additionally, concentrations of fish protein hydrolysate at 2 and 4 ml L-1 demonstrated significant benefits over control treatments for most vegetative and yield indicators, although no effect on vitamin C content was observed. Novelty: This study provides new insights into the synergistic effects of hybrid selection and biostimulant application in cucumber cultivation. Implications: The findings suggest that the strategic application of fish protein hydrolysate can enhance cucumber production, highlighting its potential as a sustainable agricultural practice to improve crop yield and quality.
SPLIT DUCT AC LEAKAGE MONITORING SYSTEM VIA GOOGLE SHEETS Cahyo , Chandra Darmawan Dwi; Jamaaluddin, Jamaaluddin
Journal for Technology and Science Vol. 1 No. 3 (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.v1i3.208

Abstract

General Background: Split duct air conditioners are prone to leaks, often resulting from corrosion in water catchment systems, which can lead to significant operational hazards such as electrical fires. Specific Background: Given the prevalence of these issues, there is an urgent need for effective monitoring solutions to maintain optimal air conditioner performance and prevent leaks. Knowledge Gap: Current monitoring systems lack integration with real-time data reporting mechanisms that can alert users promptly to potential issues. Aims: This research aims to develop a monitoring device utilizing NodeMCU ESP8266, water level sensors, and Google Sheets to enable real-time monitoring and management of water levels in split duct air conditioners. Results: The device successfully operates by turning on the fan when water levels are below 2 cm and activating the pump when levels exceed this threshold. The data is continuously sent to Google Sheets, allowing for easy monitoring and management. Novelty: This study presents a novel approach to air conditioner leak monitoring by integrating IoT technology, offering an efficient and user-friendly solution for residents. Implications: The developed monitoring tool significantly enhances the ability to detect and manage potential leaks in real time, thereby improving safety and operational efficiency. Future research should focus on enhancing sensor accuracy through specialized equipment and exploring alternative IoT platforms for improved data visualization, thereby providing users with an even more effective monitoring experience.
AUTOMATIC COOKER HOOD MONITORING SYSTEM BASED ON INTERNET OF THINGS Raharjo , Annas Wismo; Ayuni, Shazana Dhiya
Journal for Technology and Science Vol. 1 No. 3 (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.v1i3.209

Abstract

Acute Respiratory Tract Infection (ARI) poses a significant health risk, particularly for housewives frequently exposed to kitchen smoke, which contains harmful pollutants like carbon monoxide, potentially leading to serious conditions such as cancer and pneumonia. To address this issue, the development of an effective smoke removal system is crucial. This research employs a Research and Development methodology to design and test an automatic cooker hood that utilizes the MQ-7 sensor for smoke detection, controlling a 12V DC fan through a relay to operate at three adjustable speeds: low, medium, and high, based on real-time smoke intensity. The Aims of this study are to create a monitoring tool that efficiently removes kitchen smoke and provides immediate feedback on air quality. Results indicate that the system functions optimally, with the fan speed successfully adjusting according to detected smoke levels and displaying data on a 16x2 I2C LCD as well as through the Blynk application, offering clear visualization of air quality metrics. This research introduces a Novelty in integrating IoT technology for real-time air quality monitoring in kitchens, enhancing user awareness and intervention capabilities. However, fluctuations in smoke readings from the MQ-7 sensor present a Knowledge Gap, highlighting inconsistencies that affect PPM accuracy. The Implications of this study suggest the potential for improved health outcomes through better indoor air quality management, while future research should explore sensor accuracy enhancements and optimal placement strategies to ensure more reliable measurements, thereby further advancing the effectiveness of the automatic cooker hood system.
IOT-BASED VANAME SHRIMP WATER QUALITY MONITORING PROTOTYPE USING GOOGLE SPREADSHEET Arifani , Nico Bagus; Wisaksono , Arief
Journal for Technology and Science Vol. 1 No. 3 (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.v1i3.210

Abstract

General Background: Effective monitoring of water quality is crucial in shrimp farming, as poor conditions can lead to significant harvest failures. Specific Background: The integration of Internet of Things (IoT) technology provides a promising solution for continuous water quality assessment, enabling farmers to monitor conditions remotely. Knowledge Gap: Despite advancements in monitoring technologies, there is limited research on the practical implementation of IoT-based systems in aquaculture settings, particularly for Vannamei shrimp. Aims: This study aims to develop an IoT-based water quality monitoring tool using a combination of sensors and cloud-based data storage to enhance shrimp farming productivity. Results: The system incorporates DS18B20, pH, and conductivity sensors linked to an Arduino Uno and NodeMCU ESP8266, successfully transmitting data to Google Sheets. The TDS sensor, DS18B20 sensor, and robotic DF pH sensor demonstrated accuracies of 98.59%, 98.59%, and 94.89%, respectively, with standard deviations indicating good reliability. Novelty: The proposed system offers a user-friendly interface via Google Sheets, allowing real-time monitoring without geographical constraints, making it accessible for farmers. Implications: The findings underscore the potential of IoT technologies in aquaculture for optimizing water quality management, thereby maximizing shrimp production and minimizing economic losses due to harvest failures. This innovative approach could serve as a model for future research and application in sustainable aquaculture practices.
IMPLEMENTATION OF THE FUZZY TSUKAMOTO METHOD TO EARLY DETECTION TYPES OF GASTRIC DISEASES Kholifah, Rizka Nur; Azizah, Nuril Lutvi
Journal for Technology and Science Vol. 1 No. 3 (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.v1i3.211

Abstract

Abstract: The stomach is a critical organ within the human digestive system, and gastric diseases represent significant health concerns often underestimated by the public. Factors such as poor dietary habits, stress, and bacterial infections contribute to these ailments, whose initial symptoms can easily be misinterpreted due to their similarity with other gastrointestinal disorders. The knowledge gap exists in the diagnostic challenges faced by both patients and healthcare professionals, necessitating the development of improved diagnostic tools. This study aims to enhance the diagnostic process for gastric diseases through the implementation of an expert system utilizing the Fuzzy Tsukamoto method. By employing questionnaires and expert interviews to gather data on symptoms, we develop a comprehensive fuzzy inference system. Results indicate that the system accurately classifies stomach ailments based on user-reported symptoms, facilitating early diagnosis and treatment. The novelty of this research lies in the application of the Fuzzy Tsukamoto method, which allows for nuanced symptom analysis and inference, providing a more accessible means for the general public to identify potential gastric diseases. Furthermore, the system design includes flowcharts, data flow diagrams, and entity relationship diagrams to ensure a user-friendly interface. The implications of this study are significant, as it offers a robust tool for early detection of gastric diseases, thereby potentially improving patient outcomes and reducing healthcare costs associated with late-stage interventions. This expert system not only assists in diagnosing gastric conditions but also serves as a valuable resource for enhancing the understanding of symptomology in gastroenterology.
MAINTENANCE PRIORITIZATION FOR AN INDUCTION FURNACE WITH ANALYTICAL HIERARCHY PROCESS IN PT. LINGGA SAKTI INDONESIA Putra, Alvian Aries; Wulandari, Indah Apriliana Sari
Journal for Technology and Science Vol. 1 No. 3 (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.v1i3.212

Abstract

Abstract: The effective operation of induction furnaces in steel casting is crucial for maximizing production efficiency, yet equipment breakdowns remain a significant concern for manufacturers like PT. Lingga Sakti Indonesia. Despite existing maintenance strategies, there is a need for a more systematic approach to enhance Overall Equipment Effectiveness (OEE). This study addresses the knowledge gap in maintenance system optimization by employing the Analytical Hierarchy Process (AHP) to prioritize predictive maintenance tasks. The aim of this research is to assess the current OEE, calculated at 73.26%, and propose an updated maintenance framework based on the AHP findings, which involved input from four respondents across six criteria and nine alternatives. The results indicate that electrical monitoring emerged as the highest-ranked maintenance task, suggesting its implementation as a critical strategy for improving equipment reliability. The novelty of this approach lies in integrating AHP for maintenance decision-making, offering a quantifiable method for prioritizing tasks based on expert criteria. The implications of this study are significant, as the recommended maintenance system could enhance OEE and operational efficiency, ultimately leading to reduced downtime and improved productivity. Future research should focus on the practical implementation of these proposals and their impact on long-term maintenance effectiveness within the steel casting sector.

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