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Indonesian Journal of Innovation Studies
Published by Universitas Muhammadiyah Sidoarjo
ISSN : -     EISSN : 25989936     DOI : https://doi.org/10.21070/ijins.v17i
Core Subject : Science, Education, Social, Engineering,
Computer Science & IT Education Engineering Law, Crime, Criminology & Criminal Justice
Indonesian Journal of Innovation Studies (IJINS) is a peer-reviewed journal published by Universitas Muhammadiyah Sidoarjo four times a year. This journal provides immediate open access to its content on the principle that making research freely available to the public supports a greater global exchange of knowledge.This journal aims is to provide a place for academics and practitioners to publish original research and review articles. The articles basically contains any topics concerning new innovation on all aspects. IJINS is available in online version. Language used in this journal is Indonesia or English.
Arjuna Subject : Umum - Umum
Articles 1,054 Documents
 102   103   104   105   106 
Design and Testing of a Shock Absorber Disassembly Installation Tool: Perancangan dan Pengujian Alat Pemasangan untuk Pembongkaran Peredam Kejut Akhmad Akhirudin; Mulyadi; Rachmat Firdaus; Iswanto
Indonesian Journal of Innovation Studies Vol. 26 No. 2 (2025): April
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/ijins.v26i2.2174

Abstract

General Background: Shock absorbers are critical components in heavy vehicle suspension systems, functioning to reduce vibration and absorb kinetic energy generated by uneven road surfaces. Specific Background: Maintenance procedures involving shock absorber disassembly and installation commonly require substantial force, extended working time, and present safety risks when performed using conventional manual methods. Knowledge Gap: Existing approaches for servicing shock absorbers lack a dedicated tool that combines operational simplicity, time efficiency, and safer handling during both removal and installation processes. Aims: This study aimed to design, manufacture, and evaluate a tracker-based tool for shock absorber disassembly and installation. Results: The proposed tool was designed using SolidWorks Professional 2018 and fabricated from AISI 1035 steel through cutting, drilling, and assembly processes. Testing results showed the fastest shock absorber spring removal time of 1 minute 25 seconds with an average of 1 minute 29 seconds, while the fastest installation time was 2 minutes 2 seconds with an average of 2 minutes 6 seconds. Spring analysis produced a constant of 71.42 kg/cm² under a 250 kg load and 20 kg/cm² under a 70 kg load. Novelty: The study presents a multifunctional tracker-based mechanical tool specifically developed to support both disassembly and installation of heavy-vehicle shock absorbers while incorporating structural design and numerical simulation evaluation. Implications: The developed tool provides a practical solution for reducing work duration and supporting safer maintenance operations in shock absorber servicing applications.Highlights: Tracker-based equipment completed spring removal within an average of 89 seconds. Assembly procedures required approximately 126 seconds across repeated trials. Structural evaluation and load calculations confirmed operational suitability for maintenance tasks. Keywords: Shock Absorber; Mechanical Tool Design; Suspension Maintenance; Numerical Simulation; Spring Constant
Manufacturing Planning and Production Cost of a Potato Cutting Machine: Perencanaan Produksi dan Biaya Produksi Mesin Pemotong Kentang Muhammad Fiky Dharmawan; Mulyadi
Indonesian Journal of Innovation Studies Vol. 26 No. 2 (2025): April
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/ijins.v26i2.2175

Abstract

General Background: Manufacturing engineering integrates product design, machining processes, and production system management to transform raw materials into functional products. Specific Background: Potato cutting machines are utilized to support the processing of potatoes into uniform stick-shaped products, requiring appropriate manufacturing planning to ensure proper machine construction and operation. Knowledge Gap: Limited information is available regarding detailed manufacturing process planning and production cost estimation for a potato cutting machine driven by an electric motor. Aims: This study aims to determine suitable machining processes for manufacturing a potato cutting machine and to estimate the production cost required for its fabrication. Results: The planned manufacturing sequence consists of material cutting, welding, grinding, drilling, and assembly processes. The machine comprises a frame, electric motor, gearbox, pulleys, shafts, and cutting blades with specific operational functions. Manufacturing time is estimated at 15–23 hours, while the total material cost is Rp 2,518,500 and the production cost is Rp 3,453,125 per unit. Novelty: This study provides an integrated manufacturing planning framework that combines machining process identification, production time estimation, component specification, and production cost calculation for a stick-shaped potato cutting machine. Implications: The findings can serve as a reference for manufacturing planning, production budgeting, cost evaluation, and pricing decisions for small-scale machine fabrication projects.Highlights: Five fabrication stages were identified, including cutting, welding, grinding, drilling, and assembly. Total processing duration was estimated at 15–23 working hours for one unit. Material expenditure reached Rp 2,518,500, while unit fabrication cost was calculated at Rp 3,453,125. Keywords: Manufacturing Planning; Potato Cutting Machine; Machining Process; Production Cost; Electric Motor
LoRa Based Soil Quality Monitoring for Purple Eggplant Cultivation: Pemantauan Kualitas Tanah Berbasis LoRa untuk Budidaya Terong Ungu Himawan Nugroho; Shazana Dhiya Ayuni
Indonesian Journal of Innovation Studies Vol. 26 No. 2 (2025): April
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/ijins.v26i2.2176

Abstract

General Background: Soil quality is a critical factor in agricultural production because soil moisture, pH, and environmental conditions influence plant growth and crop management. Specific Background: Recent technological developments have enabled the application of Internet of Things (IoT) systems and Long Range (LoRa) communication for remote agricultural monitoring. Knowledge Gap: Many purple eggplant farmers still lack practical guidance and real-time tools to assess soil conditions accurately, creating challenges in maintaining suitable growing environments. Aims: This study aims to develop a LoRa-based soil quality monitoring system for purple eggplant cultivation using soil moisture, soil pH, and DHT22 sensors integrated with ESP32 and Telegram-based monitoring. Results: The developed system successfully collected and transmitted soil and environmental data through LoRa communication to a receiver and Telegram platform. Sensor readings indicated stable soil pH values of 7.79 and soil moisture levels of 88.8, while environmental parameters were monitored in real time. Novelty: The study integrates multiple soil and environmental sensors with LoRa wireless communication and Telegram-based monitoring into a single system designed for purple eggplant cultivation. Implications: The system provides continuous information on soil and environmental conditions, supporting farmers in monitoring cultivation areas and reducing risks associated with unsuitable soil conditions while facilitating more informed agricultural management decisions.Highlights: Real-time transmission of field measurements was achieved through long-range wireless communication. Integrated sensing captured acidity, moisture status, temperature, and humidity conditions simultaneously. Telegram-based access enabled remote observation of cultivation area parameters using smartphones. Keywords: LoRa; Soil Quality Monitoring; Internet of Things; Purple Eggplant; Wireless Sensor Network
Arduino Based Automated Shoe Cabinet Door System: Sistem Pintu Lemari Sepatu Otomatis Berbasis Arduino Moh Fakhri Hibatulloh; Akhmad Ahfas
Indonesian Journal of Innovation Studies Vol. 26 No. 2 (2025): April
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/ijins.v26i2.2177

Abstract

General Background: Home automation technology is increasingly utilized to support efficiency and convenience in daily activities through the integration of sensors, controllers, and actuators. Specific Background: Automatic door systems have been implemented in various applications, while the adoption of microcontroller-based automation for shoe cabinet access remains limited. Knowledge Gap: Previous studies mainly focused on automatic doors for buildings and access systems, with limited attention given to automated shoe cabinet door mechanisms using ultrasonic sensing and Arduino-based control. Aims: This study aimed to design and develop an Arduino Uno based automation system for opening and closing a shoe cabinet door using ultrasonic sensors as detection components and a servo motor as the driving mechanism. Results: The developed system successfully detected objects at predetermined distances, activated the servo motor to open the cabinet door at approximately 50 cm, and operated the blower through a relay when an object was detected at approximately 10 cm. Testing showed that the ultrasonic sensors, servo motor, and relay operated according to the programmed functions. Novelty: The proposed design applies ultrasonic sensor based automation and Arduino Uno control to a shoe cabinet door system integrated with a blower activation mechanism. Implications: The system demonstrates a practical application of microcontroller-based automation for household furniture, providing a simple approach for automated cabinet access and operation.Highlights: Object detection at approximately 50 cm triggered cabinet access through servo actuation. Distance sensing at approximately 10 cm activated blower operation via relay switching. Integrated hardware components functioned according to programmed control logic during testing. Keywords: Arduino Uno; Ultrasonic Sensor; Home Automation; Servo Motor; Automatic Cabinet Door
IoT Noise Monitoring System for Real Time Petshop Surveillance: Sistem Pemantauan Kebisingan Berbasis IoT untuk Pengawasan Toko Hewan Peliharaan Secara Real-Time Nasrul Amin; Arief Wisaksono
Indonesian Journal of Innovation Studies Vol. 26 No. 2 (2025): April
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/ijins.v26i2.2178

Abstract

General Background: Animal welfare in petshops requires continuous monitoring to ensure that environmental conditions remain safe and comfortable for animals. Specific Background: Noise disturbances caused by animal discomfort or hunger can be difficult for petshop owners to monitor continuously, particularly when they are away from the facility. Knowledge Gap: Existing petshop monitoring practices provide limited capability for remote observation and immediate notification of excessive noise conditions. Aims: This study aimed to develop an Internet of Things based noise monitoring system that detects animal noise levels, provides visual monitoring, and delivers real time notifications to petshop owners. Results: The system integrates a NodeMCU ESP8266, GY MAX4466 sound sensor, ESP32 Cam, tilt servo, Blynk application, and Telegram notifications. Testing showed that the sound sensor detected noise optimally within a range of 1–5 m, while data transmission to the Blynk platform exhibited an average delay of 1.2 s. The camera orientation could be remotely controlled through the application, and Telegram notifications were transmitted continuously until noise levels returned to a safe category. Novelty: The proposed system combines noise detection, remote visual monitoring, camera positioning control, and automated notification services within a single IoT platform for petshop environments. Implications: The developed device provides petshop owners with real time information regarding animal conditions, supporting timely monitoring and response to noise-related situations.Highlights: Sound sensing operated reliably at distances between 1 and 5 meters. Data transmission through the mobile platform recorded an average latency of 1.2 seconds. Continuous alert messages were delivered until acoustic conditions returned to the safe category. Keywords: Internet of Things; Noise Monitoring; Petshop Surveillance; ESP32 Cam; Real Time Notification
Bread Dough Mixer Design with Safe Structural Performance: Desain Mesin Pengaduk Adonan Roti dengan Kinerja Struktur yang Aman Arif Rachmandani; Mulyadi
Indonesian Journal of Innovation Studies Vol. 26 No. 3 (2025): July
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/ijins.v26i3.2179

Abstract

General Background: Bread dough mixing equipment is an essential component in food production processes and is required to support efficient and practical operations in small-scale and home industries. Specific Background: Many bread producers still rely on manual mixing methods, creating a need for machine-based solutions capable of processing dough with appropriate capacity and structural reliability. Knowledge Gap: Limited information is available regarding the conceptual design and structural simulation of a bread dough mixer specifically developed for a 3 kg dough capacity using a systematic design approach. Aims: This study aimed to develop a bread dough mixer design with a 3 kg dough capacity and evaluate the structural performance of its frame through static loading simulation. Results: Using the morphological chart method, two design concepts were generated and Concept B was selected for further development. The designed system employed a 0.5 HP AC motor and a bowl capacity of 14.7 liters. Static simulations under loads of 170 N, 200 N, and 370 N showed that the highest load produced a maximum von Mises stress of 5.97 MPa, maximum displacement of 0.02459 mm, maximum strain of 1.97 × 10⁻⁵, and a minimum safety factor of 41.9. Novelty: The study presents a structured combination of morphological concept selection, mechanical component planning, and numerical structural assessment for a 3 kg bread dough mixer design. Implications: The findings indicate that the proposed design fulfills structural safety requirements and provides a feasible reference for future realization of bread dough mixing equipment for home industry applications.Highlights: Concept B was selected through systematic concept evaluation and proceeded to detailed development. The planned machine utilized a 0.5 HP AC motor and a 14.7-liter mixing container. Structural assessment under 370 N loading produced a minimum safety factor of 41.9, indicating secure frame conditions. Keywords: Bread Dough Mixer; Mechanical Design; Morphological Chart; Static Load Simulation; Structural Safety
Real Time Tread Width Monitoring Using IoT Sensors: Pemantauan Lebar Tapak Ban Secara Real-Time Menggunakan Sensor IoT Diva Haristanto; Arief Wisaksono
Indonesian Journal of Innovation Studies Vol. 26 No. 3 (2025): July
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/ijins.v26i3.2180

Abstract

General Background: Automated measurement systems are increasingly required in industrial environments to support product quality and operational consistency. Specific Background: In motorcycle tire production, tread width monitoring is commonly performed manually using a roll meter, while tread dimensions vary according to production requirements. This study designed an automatic tread width measurement and monitoring system using VL53L0X sensors, an Arduino Uno microcontroller, an ESP8266 module, an I2C LCD, and Google Sheets for real-time data recording. Knowledge Gap: Previous studies have applied non-contact laser measurement for profile monitoring; however, the integration of automatic tread width measurement with real-time cloud-based monitoring was not addressed. Aims: This study aimed to design and evaluate an automatic system for measuring and monitoring motorcycle tire tread width. Results: The developed system successfully displayed measurement results on an LCD and transmitted data to Google Sheets through serial communication between Arduino Uno and ESP8266. Sensor measurements were generally within acceptable limits, with accuracy ranging from 95% to 100%, while data transmission operated consistently for real-time monitoring. Novelty: The proposed system combines dual VL53L0X-based tread width measurement, local display, and cloud-connected monitoring through Google Sheets within a single integrated platform. Implications: The system provides an alternative to manual measurement methods by offering automated tread width monitoring and online data accessibility for production environments with varying tread sizes.Highlights: Automated dimensional assessment achieved accuracy levels between 95% and 100%. Cloud-connected data transfer operated consistently through ESP8266 communication. Online recording and local display were integrated within one monitoring platform. Keywords: Tread Width Measurement; VL53L0X Sensor; Arduino Uno; Real-Time Monitoring; Google Sheets
IoT Based Real Time Monitoring of WWTP Motor Power Consumption: Pemantauan Konsumsi Daya Motor Instalasi Pengolahan Air Limbah Secara Real-Time Berbasis IoT Darmaliya Andilir Rokhman; Arief Wisaksono
Indonesian Journal of Innovation Studies Vol. 26 No. 3 (2025): July
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/ijins.v26i3.2181

Abstract

General Background: Wastewater Treatment Plants (WWTPs) require reliable motor operation to support continuous wastewater treatment processes. Specific Background: Monitoring electrical parameters such as voltage, current, and power is important for maintaining the operational condition of single-phase WWTP motors and supporting maintenance activities. Knowledge Gap: Previous studies have monitored operational parameters of WWTP motors; however, the integration of electrical power monitoring, cloud-based data storage, and remote motor control in a single Internet of Things (IoT) system remains limited. Aims: This study aimed to develop a Google Spreadsheet-based control and monitoring system for single-phase WWTP motor electrical power consumption using IoT technology. Results: The proposed system integrated an ESP32 microcontroller, a PZEM-004T sensor, Google Spreadsheet as a real-time database, and the Blynk application for remote motor control. Testing demonstrated average measurement errors of 0.12% for voltage, 0% for current, and 0.172% for power, indicating high measurement accuracy. Novelty: The study presents an integrated IoT framework that combines real-time monitoring of voltage, current, and power with Google Spreadsheet-based data logging and virtual-button motor control through Blynk. Implications: The system provides a practical solution for WWTP managers to monitor motor conditions, support maintenance scheduling, prevent equipment damage, and facilitate real-time supervision of motor operation.Highlights: Integrated cloud-connected architecture combining ESP32, PZEM-004T, Google Spreadsheet, and Blynk. Measurement testing produced average errors of 0.12% for voltage, 0% for current, and 0.172% for power. Remote operation and continuous data logging support maintenance and condition supervision of WWTP equipment. Keywords: Internet of Things; Wastewater Treatment Plant; ESP32; PZEM-004T; Real-Time Monitoring
Cloud Based Hand Grip Measurement for Stroke Patients: Pengukuran Kekuatan Genggaman Tangan Berbasis Awan untuk Pasien Stroke Erwin Hari Nugroho; Arief Wisaksono; Dwi Hadidjaja Rasjid Saputra
Indonesian Journal of Innovation Studies Vol. 26 No. 3 (2025): July
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/ijins.v26i3.2182

Abstract

General Background: Stroke remains a major health problem, and continuous monitoring of motor function is important for assessing patient rehabilitation progress. Specific Background: Hand grip strength is commonly used to evaluate motor conditions in post-stroke patients; however, previous measurement systems either required manual patient data recording or relied on limited-capacity local storage. Knowledge Gap: Existing hand grip measurement devices have not adequately provided integrated patient identification and cloud-based data storage for long-term monitoring. Aims: This study aimed to develop a hand grip strength measurement system for stroke patients using Internet of Things (IoT) technology, RFID-based patient identification, and Google Spreadsheet cloud storage. Results: The proposed system utilized an ESP32 module, RFID-RC522, load cell sensor, HX711 module, and LCD display. Testing showed a load cell error rate of 0.3%, an average RFID data transmission delay of 3.4 seconds, and an overall system error of 1.09% based on measurements from 10 stroke patients compared with a CAMRY Hand Dynamometer Model 101. Measurement results were automatically stored in Google Spreadsheet and could be accessed by healthcare providers and patient families. Novelty: The system integrates hand grip assessment, RFID-based patient identification through E-KTP, and cloud-based data storage within a single IoT platform. Implications: This design provides a practical approach for structured and accessible monitoring of hand grip strength data in stroke patient therapy programs.Highlights: Sensor calibration testing produced a measurement error of only 0.3%. RFID-RC522 transmitted patient identification data with an average delay of 3.4 seconds. Comparison with a commercial dynamometer showed a mean system error of 1.09% across ten participants. Keywords: Stroke; Hand Grip Strength; Internet of Things; Google Spreadsheet; RFID
NodeMCU ESP32 Motorcycle Electrical Monitoring System: Sistem Pemantauan Kelistrikan Sepeda Motor NodeMCU ESP32 Dony Hari Ramadhan; Dr. Syamsudduha Syahrorini ST., MT
Indonesian Journal of Innovation Studies Vol. 26 No. 3 (2025): July
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/ijins.v26i3.2183

Abstract

General Background: Motorcycle electrical systems are essential for supporting engine operation and vehicle functionality, yet electrical faults often require time-consuming manual inspection. Specific Background: Conventional troubleshooting commonly involves dismantling motorcycle body parts and measuring electrical components using instruments such as avometers, making the process impractical for riders and workshop personnel. Knowledge Gap: Existing monitoring studies have addressed electrical parameter observation in other applications, but a system specifically designed to monitor motorcycle electrical components and provide real-time fault notifications through a smartphone remained limited. Aims: This study aimed to develop a NodeMCU ESP32-based motorcycle electrical monitoring system capable of monitoring battery, headlight, horn, and starter electrical conditions and delivering notifications via Telegram. Results: The developed system operated optimally by monitoring voltage values through DC voltage sensors and transmitting data to a smartphone application. The displayed voltage readings were clear and accurate, with normal electrical conditions showing corresponding voltage values and damaged components displaying a value of 0. The system achieved a data transmission delay of 1.14 seconds, while the average difference in delivery delay remained relatively small at 0.4%. Novelty: The study presents a motorcycle electrical monitoring system integrating DC voltage sensors, NodeMCU ESP32, and Telegram-based notifications for real-time detection of electrical faults in key motorcycle components. Implications: The system enables riders to identify electrical faults more quickly without manual inspection procedures and provides accessible information regarding motorcycle electrical conditions through a smartphone-based platform.Highlights: Smartphone alerts provided immediate identification of battery, headlight, horn, and starter faults. Voltage readings corresponded to component status, with damaged circuits indicated by zero-value measurements. Data delivery through Telegram was achieved with a transmission delay of 1.14 seconds and a small average delay difference. Keywords: NodeMCU ESP32; Motorcycle Electrical System; DC Voltage Sensor; Real-Time Monitoring; Telegram Notification

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