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<![CDATA[Blind Spot Detection System for Phinisi Ship Navigation Safety: Sistem Deteksi Titik Buta untuk Keselamatan Navigasi Kapal Phinisi ]]>
<![CDATA[Hanifah Burhanuddin]]>;
<![CDATA[Akhmad Ahfas]]>
<![CDATA[ Indonesian Journal of Innovation Studies Vol. 27 No. 1 (2026): January ]]>
Publisher : <![CDATA[Universitas Muhammadiyah Sidoarjo ]]>
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DOI: 10.21070/ijins.v27i1.2076
<![CDATA[General Background Maritime tourism development increases the use of large vessels such as phinisi cruise ships which have operational safety challenges. Specific Background The large structure of phinisi ships creates blind spots that can lead to potential collisions with smaller vessels. Knowledge Gap Existing navigation systems have limited capability in detecting objects within blind spot areas in real-time. Aims This study aims to design and implement a blind spot sensing alert system using a laser distance sensor based on Arduino Uno. Results The developed system is capable of detecting object presence within blind spot areas and providing warning signals to assist navigation awareness. Novelty The integration of laser distance sensing with a simple microcontroller-based system provides a practical solution for blind spot monitoring on traditional vessels. Implications This system can support maritime safety by reducing collision risk and can be further developed for wider implementation in similar ship types. Keywords: Blind Spot Detection, Phinisi Ship, Laser Distance Sensor, Arduino Uno, Maritime Safety Key Findings Highlights System identifies object presence in blind navigation areas Warning mechanism supports real-time operator awareness Prototype demonstrates practical implementation on traditional vessel]]>
<![CDATA[Silicone Turbidity Monitoring System Using IoT for Extruder Machine: Sistem Pemantauan Kekeruhan Berbasis Silikon yang Menggunakan IoT untuk Mesin Ekstruder ]]>
<![CDATA[Andra Erlangga]]>;
<![CDATA[Arief Wicaksono]]>
<![CDATA[ Indonesian Journal of Innovation Studies Vol. 27 No. 1 (2026): January ]]>
Publisher : <![CDATA[Universitas Muhammadiyah Sidoarjo ]]>
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DOI: 10.21070/ijins.v27i1.2077
<![CDATA[This study presents a real-time monitoring system for silicone turbidity in an industrial extruder process. General Background: Quality control in manufacturing processes requires accurate monitoring systems to prevent product defects caused by inconsistent material composition. Specific Background: In silicone coating processes, improper silicone-to-water ratios can result in sticky or overly slippery film surfaces. Knowledge Gap: Conventional monitoring methods rely on manual observation, which is inefficient and prone to human error. Aims: This research aims to design and implement an IoT-based turbidity monitoring system to ensure optimal silicone mixture conditions. Results: The system utilizes a turbidity sensor SEN0189 integrated with NodeMCU ESP8266, displaying data via LCD and ThingSpeak platform, successfully identifying optimal ratios between 1:20 and 1:25 and triggering alarms for abnormal conditions. Novelty: The integration of real-time turbidity sensing with IoT-based remote monitoring and automated alert system provides a digital solution for industrial quality control. Implications: This system supports efficient monitoring, reduces manual inspection, and contributes to digital transformation in manufacturing aligned with Industry 4.0 principles. Keywords: Silicone Turbidity, IoT Monitoring, NodeMCU ESP8266, Industrial Quality Control, Turbidity Sensor Key Findings Highlights Real-time detection distinguishes optimal and defective mixture conditions Remote visualization enables continuous supervision without physical presence Automated alert system signals deviations from predefined standards]]>
<![CDATA[IoT Based PDAM Water Meter Monitoring System With Real Time Data: Sistem Pemantauan Meteran Air PDAM Berbasis IoT dengan Data Real-Time ]]>
<![CDATA[Radika Saifuddin]]>;
<![CDATA[Shazana Dhiya Ayuni]]>
<![CDATA[ Indonesian Journal of Innovation Studies Vol. 27 No. 1 (2026): January ]]>
Publisher : <![CDATA[Universitas Muhammadiyah Sidoarjo ]]>
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DOI: 10.21070/ijins.v27i1.2078
<![CDATA[General Background: Water is a vital resource, and increasing demand requires accurate monitoring systems. Specific Background: Conventional PDAM water meters face limitations in accuracy, real-time monitoring, and data recording. Knowledge Gap: Existing systems lack integrated real-time monitoring with unlimited database storage for long-term usage tracking. Aims: This study aims to develop an Internet of Things based water meter monitoring system using ESP32 and YF-S201 sensor to measure water usage and cost. Results: The system displays real-time data via LCD and Blynk application while storing data in Google Spreadsheet, with an average flow error of 1.023% and cost error of 1.285%. A 30-day test recorded total water usage of 30,408.55 liters with a cost of Rp150,729.06. Novelty: The integration of real-time monitoring with automatic cloud-based data storage without capacity limitation distinguishes this system from previous studies. Implications: This system supports accurate recording, improves transparency, and offers a scalable digital solution for modern water distribution monitoring. Keywords: Internet of Things, Water Monitoring, ESP32, Water Flow Sensor, PDAM System Key Findings Highlights Real-time monitoring system records consumption and cost with low measurement deviation Cloud-based storage enables continuous and unlimited data logging Monthly testing demonstrates stable system performance in practical use]]>
<![CDATA[IoT Based UV C Baby Equipment Sterilization System With Sensor Monitoring: Sistem Sterilisasi Peralatan Bayi Berbasis IoT dengan Sinar UV-C dan Pemantauan Sensor ]]>
<![CDATA[Muhammad Riko]]>;
<![CDATA[Akhmad Ahfas]]>
<![CDATA[ Indonesian Journal of Innovation Studies Vol. 27 No. 1 (2026): January ]]>
Publisher : <![CDATA[Universitas Muhammadiyah Sidoarjo ]]>
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DOI: 10.21070/ijins.v27i1.2079
<![CDATA[General Background: Hygiene of baby feeding equipment is essential due to infants’ low immunity and high risk of bacterial contamination. Specific Background: Conventional cleaning and drying methods are often ineffective and less hygienic, while existing sterilization systems lack integrated remote monitoring. Knowledge Gap: Previous studies have not fully integrated UV-C sterilization, heating-based drying, and Internet of Things control in a single system. Aims: This study aims to develop an IoT-based UV-C sterilization device using ESP32 to monitor and control sterilization and drying processes. Results: The drying system reduced moisture to a completely dry state, while sterilization testing showed bacterial counts below SNI thresholds. The IoT system operated up to 60.2 km with an average delay of 4.86 seconds, and the DS18B20 sensor achieved an average error of 0.25°C. Novelty: The integration of UV-C sterilization, heating drying, and long-distance IoT control with real-time monitoring represents the main contribution. Implications: This system provides a practical and hygienic solution for maintaining baby equipment cleanliness with reliable remote operation Keywords: Uv C Sterilization, Internet of Things, Esp32, Baby Equipment, Temperature Sensor Key Findings Highlights Drying process achieves complete moisture removal after extended duration Bacterial testing confirms compliance with microbiological safety standards Remote operation remains stable across multiple long-distance locations]]>
<![CDATA[Voice Controlled Arduino Welding Glasses With High Accuracy Response System: Kacamata Las Arduino yang Dikendalikan Suara dengan Sistem Respons Akurasi Tinggi ]]>
<![CDATA[Yudistira Andi Pradana]]>;
<![CDATA[Izza Anshory]]>
<![CDATA[ Indonesian Journal of Innovation Studies Vol. 27 No. 1 (2026): January ]]>
Publisher : <![CDATA[Universitas Muhammadiyah Sidoarjo ]]>
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DOI: 10.21070/ijins.v27i1.2080
<![CDATA[General Background: Welding activities pose significant risks to eye safety due to exposure to intense light and radiation. Specific Background: Conventional welding glasses rely on manual operation, which often leads to inconsistent use and reduced safety compliance. Knowledge Gap: Existing solutions have not fully integrated automated control with voice-based interaction for real-time operation. Aims: This study aims to design and develop an Arduino-based automatic welding glasses system controlled by voice commands to improve operational safety. Results: The system achieved 100% command recognition accuracy with an average response time of 1.1 seconds, an effective voice recognition distance up to 50 cm, and stable operation for 60 minutes without performance degradation. Novelty: The integration of voice recognition technology with automatic lens control and cooling system provides a practical approach to hands-free safety equipment operation. Implications: This system offers a reliable solution to improve compliance in the use of protective equipment and supports safer welding practices in real working environments. Keywords: Voice Control, Arduino Uno, Welding Glasses, Voice Recognition, Safety System Key Findings Highlights Command detection achieves full recognition under controlled testing conditions System response remains consistent within short reaction time intervals Operational stability maintained during continuous usage period]]>
<![CDATA[Permanent Magnet Generator Design With Stable Output Under Variable Speed: Desain Generator Magnet Permanen dengan Output Stabil pada Kecepatan Variabel ]]>
<![CDATA[Mochamad Aldhy Saputro Alamsyah]]>;
<![CDATA[A’rasy Fahruddin]]>;
<![CDATA[Mulyadi]]>;
<![CDATA[Edi Widodo]]>
<![CDATA[ Indonesian Journal of Innovation Studies Vol. 27 No. 1 (2026): January ]]>
Publisher : <![CDATA[Universitas Muhammadiyah Sidoarjo ]]>
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DOI: 10.21070/ijins.v27i1.2081
<![CDATA[General Background: Electrical energy demand continues to increase, requiring reliable generation systems with efficient performance. Specific Background: Permanent magnet synchronous generators are widely used due to their simplicity and ability to operate at low speeds. Knowledge Gap: Previous studies have not fully explored optimal design parameters for achieving stable output under varying rotational conditions. Aims: This study aims to design and analyze a permanent magnet generator to evaluate its electrical output characteristics. Results: The generator produces measurable voltage, current, and power under different rotational speeds, demonstrating consistent performance trends across testing conditions. The output increases proportionally with rotational speed, indicating stable operational behavior. Novelty: The study presents a practical implementation of generator design with systematic testing under variable speed conditions. Implications: The results provide a reference for developing small-scale power generation systems with stable electrical output for various applications. Keywords: Permanent Magnet Generator, Electrical Energy, Generator Design, Output Voltage, Rotational Speed Key Findings Highlights Electrical output shows proportional relationship with rotational variation System testing confirms consistent behavior across multiple operating conditions Prototype demonstrates feasibility for small scale energy conversion applications]]>
<![CDATA[FMCW Radar Based Human Detection System for Smart Home Security: Sistem Deteksi Manusia Berbasis Radar FMCW untuk Keamanan Rumah Pintar ]]>
<![CDATA[Yuswono Hariswanda]]>;
<![CDATA[Shazana Dhiya Ayuni]]>
<![CDATA[ Indonesian Journal of Innovation Studies Vol. 27 No. 1 (2026): January ]]>
Publisher : <![CDATA[Universitas Muhammadiyah Sidoarjo ]]>
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DOI: 10.21070/ijins.v27i1.2082
<![CDATA[This study addresses the development of a home security system utilizing Frequency Modulated Continuous Wave radar for human presence detection. General Background: Home security systems require reliable detection technologies capable of operating under various environmental conditions. Specific Background: Conventional systems such as CCTV and PIR sensors face limitations in low-light and obstructed environments. Knowledge Gap: There is a need for a detection system that maintains accuracy regardless of lighting and can detect through obstacles. Aims: This study aims to design and implement a human detection system using a 24 GHz HLK-LD2450 sensor integrated with an ESP32 microcontroller and Telegram-based notification system. Results: The system successfully detects human presence in real time within a 6-meter range and ±60° angle, providing stable measurements of position, distance, and speed, with consistent updates every eight seconds. Novelty: The integration of FMCW radar with real-time Telegram notifications provides a combined local and remote monitoring capability under non-line-of-sight conditions. Implications: The proposed system offers a practical solution for improving home security by enabling reliable detection in diverse environmental conditions and enhancing remote monitoring capabilities. Keywords: Fmcw Radar, Human Detection, Home Security System, Esp32, Telegram Notification Key Findings Highlights Real-time tracking provides stable spatial and motion data in indoor environments Radar sensing enables detection under obstructed and low-light conditions Integrated messaging system delivers continuous remote monitoring capability]]>
<![CDATA[Current Sensor Based Electrical Leakage Detection System with Audible Alarm: Sistem Deteksi Kebocoran Listrik Berbasis Sensor Arus dengan Alarm Suara ]]>
<![CDATA[Ainul Yaqin]]>;
<![CDATA[Shazana Dhiya Ayuni]]>
<![CDATA[ Indonesian Journal of Innovation Studies Vol. 27 No. 1 (2026): January ]]>
Publisher : <![CDATA[Universitas Muhammadiyah Sidoarjo ]]>
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DOI: 10.21070/ijins.v27i1.2083
<![CDATA[This study presents the development of an electrical cable leakage detection system based on a current sensor integrated with an audible alarm. General Background: Electrical leakage poses serious risks to safety, including equipment damage and fire hazards, requiring reliable detection systems. Specific Background: Conventional monitoring methods are often limited in responsiveness and require continuous manual observation. Knowledge Gap: There is a need for a real-time, automated, and low-cost system capable of detecting leakage current and providing immediate warning. Aims: This research aims to design and implement a leakage current detection system using the ACS712 current sensor and an Arduino microcontroller with a buzzer alarm feature. Results: The system detects leakage current exceeding a threshold of 450 mA, achieving accuracy above 90% and an average response time of 0.96 seconds, with stable real-time monitoring and clear LCD display output. Novelty: The integration of a current sensor with a direct audible alarm and simple microcontroller-based processing provides a practical and accessible detection mechanism. Implications: The proposed system offers a cost-effective solution for improving electrical safety in residential and small industrial environments through early warning capability. Keywords: Current Sensor, Leakage Detection, Arduino, Audible Alarm, Electrical Safety Key Findings Highlights Real-time monitoring identifies abnormal current conditions rapidly Sound alert activates immediately when threshold is exceeded System maintains stable operation under varied electrical loads]]>
<![CDATA[Welding Current Variation Determines Tensile Strength of Low Carbon Steel: Variasi Arus Las Menentukan Kekuatan Tarik Baja Karbon Rendah ]]>
<![CDATA[Slamet Fauji Riyanto]]>;
<![CDATA[Jamaaludin]]>
<![CDATA[ Indonesian Journal of Innovation Studies Vol. 27 No. 1 (2026): January ]]>
Publisher : <![CDATA[Universitas Muhammadiyah Sidoarjo ]]>
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DOI: 10.21070/ijins.v27i1.2084
<![CDATA[This study examines the relationship between welding current variation and the tensile strength of low carbon steel joints. General Background: Welding is a critical process in manufacturing industries, where joint strength determines structural reliability. Specific Background: Shielded Metal Arc Welding (SMAW) is widely used due to its flexibility, but welding parameters such as current significantly affect joint quality. Knowledge Gap: Previous studies have discussed welding parameters, yet limited focus is given to specific current variations and their direct relation to tensile strength in certain steel materials. Aims: This research aims to analyze the effect of different welding current levels on the tensile strength of low carbon steel. Results: The findings indicate that variations in welding current produce different tensile strengths, with a specific current level yielding the highest strength, while excessively high or low currents reduce joint performance. Novelty: The study provides focused experimental evaluation of current variation on tensile strength using controlled parameters in SMAW welding. Implications: The results offer practical guidance for selecting appropriate welding current to achieve optimal mechanical properties in industrial applications. Keywords: Welding Current, Tensile Strength, Low Carbon Steel, SMAW Welding, Mechanical Properties Key Findings Highlights Different current levels produce distinct mechanical responses in welded joints Peak strength occurs at a specific parameter setting during testing Improper current selection leads to reduced joint performance]]>
<![CDATA[Steam Turbine Performance Analysis Based on Operational Parameter Variation: Analisis Kinerja Turbin Uap Berdasarkan Variasi Parameter Operasional ]]>
<![CDATA[Luthfi Frans Setiawan]]>;
<![CDATA[.A’rasy Fahruddin]]>
<![CDATA[ Indonesian Journal of Innovation Studies Vol. 27 No. 1 (2026): January ]]>
Publisher : <![CDATA[Universitas Muhammadiyah Sidoarjo ]]>
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DOI: 10.21070/ijins.v27i1.2085
<![CDATA[This study analyzes the performance of a steam turbine in relation to operational parameters within a power generation system. General Background: Steam turbines play a critical role in converting thermal energy into mechanical energy in power plants. Specific Background: Turbine performance is influenced by parameters such as steam flow rate, pressure, and blade configuration, which determine efficiency and output power. Knowledge Gap: Previous studies have examined turbine performance, yet limited attention has been given to detailed evaluation under specific operational conditions in practical systems. Aims: This research aims to evaluate the performance characteristics of a steam turbine by analyzing efficiency and operational parameters. Results: The findings show that variations in steam flow and operational conditions produce measurable differences in turbine efficiency and output, with certain conditions yielding optimal performance. Novelty: The study provides a focused evaluation of turbine performance using real or simulated operational parameters within a controlled framework. Implications: The results offer practical insights for optimizing turbine operation to achieve better energy conversion in power plant systems. Keywords: Steam Turbine, Performance Analysis, Efficiency, Power Plant, Energy Conversion Key Findings Highlights Operational parameters determine variations in output and system behavior Specific conditions yield peak operational performance during evaluation Measured data shows consistent patterns across tested scenarios]]>
