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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 48 Documents
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COMPARISON OF THE EFFECT OF SUXXX, V-POXXX FUEL AND THEIR MIXTURES ON R15 MOTORCYCLE ENGINE PERFORMENCE Wahid , M. Luqman; Firdaus , Rachmat
Journal for Technology and Science Vol. 1 No. 2 (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.v1i2.205

Abstract

General Background: With the increase in motorcycle usage worldwide, optimizing engine performance through fuel selection has become a focus, as fuel type significantly impacts torque, power, and specific fuel consumption. Specific Background: Public motorcycle transportation options include various fuel types, such as suxxx and v-poxxx, as well as blends with ethanol, which are commonly used for enhanced engine efficiency. Knowledge Gap: There is limited research directly comparing the performance impacts of suxxx, v-poxxx, and their mixtures, especially with ethanol, on motorcycles over a range of RPMs. Aims: This study aims to evaluate the differences in motorbike performance using pure suxxx, v-poxxx, a 50-50 blend of suxxx and v-poxxx, and an 85-15 blend of suxxx and ethanol by examining torque, power, and specific fuel consumption (SFC) on an R15 motorbike through dynotest trials. Results: Findings indicate that v-poxxx, with its higher octane level, provides superior torque, power, and SFC compared to suxxx and mixed fuels, especially at low and high RPMs. Meanwhile, the 85% suxxx and 15% ethanol blend achieves the best SFC but has slightly lower torque and power at specific RPMs compared to v-poxxx. Novelty: This study provides comparative insights into the effectiveness of mixed ethanol fuels in motorcycles, identifying performance variances across a range of RPMs, which is less explored in the context of motorcycle engines. Implications: The results suggest that high-octane fuels enhance engine performance, while ethanol mixtures could serve as efficient alternatives for fuel savings. These insights are valuable for consumers and manufacturers aiming to optimize fuel usage for different riding conditions.
THE USE OF THE ATUMICS METHOD FOR THE DEVELOPMENT OF DESIGNS FOR WOMEN'S LEATHER BAGS Fernanda , Daffa Afisona; Jakaria , Ribangun Bamban
Journal for Technology and Science Vol. 1 No. 2 (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.v1i2.206

Abstract

Abstract: Leather bags are popular consumer products, frequently undergoing innovations to meet evolving aesthetic preferences and market demands. While leather artisans continuously experiment with new designs, integrating traditional and contemporary styles remains an underexplored area, especially in the application of batik printing on leather. To address this knowledge gap, this study seeks to enhance leather bag designs by incorporating batik printing, aiming to modernize traditional motifs and elevate the cultural value of these products. Using the ATUMICS method—a structured approach that harmonizes traditional and modern elements through Artifact, Technique, Utility, Material, Icon, Concept, and Shape criteria— the study examined the impact of adding batik printing designs on the feasibility and consumer appeal of leather bags. Findings reveal that leather bags with batik printing achieve higher feasibility scores, with product evaluations improving from 30–65% to 80–100% after applying the ATUMICS method, based on a questionnaire completed by ten experienced artisans. Validity and reliability tests yielded values (validity: 0.716–0.967; reliability: Cronbach's Alpha 0.885) that confirm the robustness of the instrument used. The novelty of this research lies in demonstrating the potential of batik-printed leather bags as a culturally resonant, modern product for broader markets. Implications suggest that integrating traditional patterns with contemporary aesthetics can revitalize interest in leather crafts and serve as a model for other traditional crafts, providing artisans with valuable insights into product differentiation and market adaptation. Future research should expand on design variations in form and color to further enhance the diversity of leather bag offerings and maintain the cultural significance of traditional art forms in modern fashion.
DESIGN OF A LIGHTNING STRIKE COUNTER TOOL IN THE MOJOSARI ULP DISTRIBUTION NETWORK BASED ON IOT Maulana , Mochamad Rizal; Ahfas , Akhmad
Journal for Technology and Science Vol. 1 No. 2 (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.v1i2.207

Abstract

General Background: Electrical distribution systems frequently face disruptions, particularly in tropical climates like Indonesia, where lightning strikes are prevalent due to high humidity. Specific Background: These disruptions necessitate effective monitoring tools to manage lightning impacts on power distribution networks. Knowledge Gap: Despite existing solutions, there is a lack of real-time monitoring systems tailored for the specific conditions of Indonesian distribution networks. Aims: This study aims to develop an Internet of Things (IoT) based lightning monitoring device that leverages ACS712, DHT11, and LDR sensors, facilitating real-time data acquisition and notifications. Results: The system achieved sensor accuracies of 95.2% for the ACS712, 98.5% for the DHT11, and a satisfactory performance from the LDR sensor. The processed data is displayed on a 16x2 LCD and sent as notifications via Telegram. The device also includes a buzzer for immediate alerts during lightning strikes and features buttons for data logging and resets. Novelty: The research presents a novel application of IoT technology to create a user-friendly monitoring solution for lightning strikes, specifically designed for the 20KV distribution networks in the ULP Mojosari work area. Implications: By enabling timely notifications and efficient localization of lightning-related disruptions, this tool significantly enhances the operational response of field officers, improving the resilience of power distribution systems during adverse weather conditions. However, it is essential to note that the device requires an internet connection for Telegram notifications, and the ACS712 sensor has a maximum current reading limit of 30 amperes.
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.
ANALYSIS OF SPARE PART INVENTORY CONTROL USING ECONOMIC ORDER QUANTITY (EOQ) AND CONTINUOUS REVIEW METHODS Damayanti , Maharani Lutfiah; Sukmono , Tedjo
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.v1i3.213

Abstract

General Background: In the concrete manufacturing industry, the reliance on machines for production activities necessitates a robust spare parts inventory management system to ensure operational continuity. Specific Background: However, fluctuating demand for spare parts often leads to overstock or stockout situations, significantly impacting inventory costs and cash flow. Knowledge Gap: Existing studies primarily focus on static inventory management approaches, neglecting the dynamic nature of spare parts demand in manufacturing environments. Aims: This research aims to optimize total inventory costs while determining efficient order and reorder point quantities by integrating the Economic Order Quantity (EOQ) method with continuous review techniques. Results: The findings reveal an optimal order quantity of 131 units and a reorder point of 18 units, resulting in a total inventory cost of IDR 2,414,609,989—an efficiency improvement of IDR 293,152,400, equivalent to an 11% cost saving compared to previous inventory management practices. Novelty: This study innovatively employs a probabilistic approach to account for demand variability, enhancing the accuracy of inventory control measures. Implications: The outcomes suggest that implementing the proposed inventory management strategy can mitigate the risks of overstocking and stockouts, ultimately fostering improved financial performance in the company. Furthermore, the research highlights the necessity for regular inventory reviews and suggests future studies to develop more dynamic inventory control models that incorporate price fluctuations for spare parts, thereby addressing potential risks associated with cost variability.
IMPLEMENTATION OF FUZZY INVENTORY METHOD AND ARTIFICIAL NEURAL NETWORK IN DETERMINING SAFETY INVENTORY OF BAG PRODUCTS Rahmansyah, Muhammad Miftah Arzaq; Sukmono , Tedjo
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.v1i3.214

Abstract

General Background: Effective inventory management is crucial for small and medium enterprises (SMEs) to address fluctuating demand and avoid shortages, especially in sectors like handcrafted products. Specific Background: In the context of PTK MSMEs (Karangtanjung Bag Craftsmen) in Sidoarjo Regency, bag product sales often vary monthly, necessitating accurate demand forecasting and optimal inventory levels. Knowledge Gap: While previous studies have explored demand prediction and inventory management, few have integrated advanced methodologies like Artificial Neural Networks (ANN) and Fuzzy Inventory approaches to cater specifically to SMEs in the handicraft sector. Aims: This research aims to predict the sales demand for bag products and establish safety inventory levels using ANN and Fuzzy Inventory methods, ultimately to control demand and reduce inventory costs. Results: The study yielded a Root Mean Square Error (RMSE) of 45.031 from the ANN analysis, indicating a good forecasting performance, while the Fuzzy Inventory method calculated a safety stock of 43,647 pieces for 2023. Novelty: The integration of ANN for demand forecasting and Fuzzy Inventory for safety stock determination offers a novel approach for SMEs, enabling them to respond proactively to market fluctuations. Implications: The findings provide a framework for MSMEs to enhance their inventory management practices, thus improving operational efficiency and reducing holding costs, which can significantly impact their sustainability and competitiveness in the market.

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