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INDONESIA
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 1,072 Documents
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Web Based Project Progress Monitoring for Construction Management: Pemantauan Kemajuan Proyek Berbasis Web untuk Manajemen Konstruksi Muhammad Eko Mujahidin; Rohman Dijaya
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.v26i3.2184

Abstract

General Background: Project progress reporting is a critical component of construction management because project success is determined not only by completion time and final outcomes but also by continuous monitoring of work progress. Specific Background: PT. Albi Jaya Persada manages multiple construction projects, where project monitoring is constrained by distant project locations, delays in information delivery, difficulties in verifying field reports, and the accumulation of project documentation. Knowledge Gap: The existing monitoring process relied on manual reporting and communication methods that complicated verification, supervision, and decision-making activities. Aims: This study aimed to design and implement a web-based project progress monitoring system for PT. Albi Jaya Persada to support project supervision and reporting activities. Results: The developed system provides functionalities for project data management, sub-work monitoring, material tracking, progress documentation, complaint handling, and project supervision through dedicated interfaces for administrators, foremen, and directors. Black-box testing showed that all tested system functions operated according to the expected requirements and produced valid results. Novelty: The study introduces an integrated web-based monitoring platform that combines project progress reporting, material monitoring, documentation management, and communication of project constraints within a single system environment. Implications: The system supports directors in monitoring ongoing projects, reviewing project and material data, tracking work progress, and providing solutions to issues encountered during project execution.Highlights: Integrated platform supports project records, materials, documentation, and complaint management within one environment. Separate user interfaces were developed for administrators, foremen, and directors according to their responsibilities. Functional testing confirmed that all evaluated features operated as expected and produced valid outputs. Keywords: Web-Based Monitoring System; Project Progress Monitoring; Construction Project Management; Black Box Testing; Project Supervision
ESP32 CAM Flood Warning System with Fuzzy Logic: Sistem Peringatan Banjir ESP32 CAM dengan Logika Fuzzy Roy Andi Subagia; Inggit Marodiyah
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.v26i3.2185

Abstract

General Background: Flood-prone areas require reliable early warning systems to support timely monitoring and response. Specific Background: Kedungbanteng Village, Sidoarjo Regency, experiences recurring flooding due to its lowland geographical conditions and proximity to major rivers. To address this issue, a flood warning system was developed using an ESP32-CAM microcontroller, an ultrasonic sensor, a camera module, fuzzy logic processing, indicator lights, an alarm, and Telegram-based notifications. Knowledge Gap: Previous flood detection approaches have faced challenges related to measurement accuracy and rapid information delivery, highlighting the need for a system capable of real-time monitoring and communication. Aims: This study aimed to develop and test Roy’s Flood Alarm Detector (RFAD) for real-time water level detection and remote flood monitoring. Results: The developed system measured water levels using an ultrasonic sensor, classified conditions into safe, alert, and emergency categories, activated visual and audio warnings at predefined thresholds, and transmitted notifications and images through Telegram. The ESP32-CAM successfully supported remote monitoring, while fuzzy logic was utilized to process water-level data. Novelty: The study integrates ESP32-CAM technology, ultrasonic sensing, fuzzy logic, camera-based visual verification, and Telegram communication within a single flood warning platform. Implications: The proposed system provides timely flood information that can support preventive actions and monitoring activities in flood-prone communities.Highlights: Real-time water-level monitoring was achieved through ultrasonic sensing and remote communication. Automatic alerts were generated using visual indicators, buzzer signals, and mobile notifications. Camera-based verification p Keywords: ESP32-CAM; Flood Warning System; Fuzzy Logic; Ultrasonic Sensor; Telegram Notification
Google Sheet Based Air Dryer Compressor Monitoring System: Sistem Pemantauan Kompresor Pengering Udara Berbasis Google Sheets Muhammad Irwani Amin; 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.v26i3.2186

Abstract

General Background: Compressed air systems require moisture control to maintain reliable operation and protect pneumatic equipment from damage caused by water vapor. Specific Background: Air dryer compressors equipped with evaporator systems are commonly used to reduce humidity in compressed air, while real-time monitoring is needed to observe operating conditions such as temperature, humidity, and pressure. Knowledge Gap: Conventional monitoring approaches often provide limited accessibility and do not integrate operational data into a cloud-based platform for continuous observation and data storage. Aims: This study aimed to design and develop an air dryer compressor with an evaporator system integrated with Google Sheet-based monitoring using Internet of Things technology. Results: The developed system employed DHT22 and pressure transmitter sensors connected to an ESP32 microcontroller to measure temperature, humidity, and air pressure, with data transmitted and displayed in Google Sheet in real time. Sensor testing showed close agreement with standard measuring instruments, while the monitoring platform continuously recorded operational parameters and generated organized data records. Novelty: The study presents the integration of an evaporator-based air dryer compressor with IoT-enabled monitoring and cloud-based data logging through Google Sheet within a single operational system. Implications: The proposed system provides accessible remote monitoring, structured data management, and continuous observation of compressor operating conditions, supporting reliable pneumatic system operation and maintenance activities.Highlights: Real-time data transmission enabled continuous observation of temperature, humidity, and air pressure parameters. DHT22 measurements showed close agreement with reference instrument readings during testing. Cloud-based records provided organized storage and remote access to operational information. Keywords: Air Dryer Compressor; Internet of Things; ESP32; Google Sheet Monitoring; Pressure Transmitter
Six Sigma Analysis of Halal Food Packaging Defects: Analisis Six Sigma terhadap Cacat Kemasan Makanan Halal Nurria Peppi Yuwana; Hana Catur Wahyuni
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.v26i3.2187

Abstract

General Background: Product quality control is a critical requirement in manufacturing industries to maintain production consistency, reduce defects, and support customer satisfaction. Specific Background: PT. XYZ, a wafer manufacturing company, experienced a packaging defect rate of 1.24% over a 12-month period, exceeding the company’s tolerance limit of 1%, with 7,962 defective packages recorded during production. Knowledge Gap: Previous studies have applied Six Sigma to packaging quality problems; however, limited studies have integrated Six Sigma (DMAIC), Root Cause Analysis (RCA), and a 5W+1H approach using a long-term observation period to identify the root causes of packaging defects in halal food products. Aims: This study aimed to identify the dominant packaging defect, determine its root causes, and formulate improvement recommendations to reduce defects within the company’s tolerance limits. Results: The findings revealed 12 types of packaging defects, with endseal corner tear defects representing the largest proportion at 44% of total defects. The average Defect Per Million Opportunities (DPMO) value was 1,131.46, and the average sigma level was 4.56. Root cause analysis identified five contributing factors: method, machine, man, environment, and material. Novelty: The study integrates Six Sigma DMAIC, RCA, fishbone analysis, and 5W+1H within a 12-month evaluation framework to provide a comprehensive diagnosis of packaging quality issues. Implications: The proposed corrective actions, including machine maintenance, standardized operating procedures, process monitoring, operator training, and material control, can serve as a reference for reducing packaging defects and improving production quality management in halal food manufacturing.Highlights: Endseal corner tear accounted for 44% of total packaging nonconformities. Average process performance reached 1,131.46 DPMO with a sigma level of 4.56. Five primary causal categories were identified: method, machine, man, environment, and material. Keywords: Six Sigma; Root Cause Analysis; Packaging Quality; Halal Food Products; DMAIC
Integrated Seven Tools Approach Reduces Flat Glass Defects: Integrasi Pendekatan Seven Tools Untuk Mengurangi Cacat Kaca Lembaran Citra Wahyuning; Rr. Rochmoeljati
Indonesian Journal of Innovation Studies Vol. 27 No. 3 (2026): July
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/ijins.v27i3.2003

Abstract

General Background: Product quality control is a central requirement in manufacturing because defects can reduce production performance, increase waste, and weaken company reputation. Specific Background: PT XYZ, a major flat glass manufacturer in Indonesia, faced quality problems in flat glass production during January to September 2025, including inclusion, shellchip, scratch, and stain. Knowledge Gap: The manuscript identifies the need for structured defect analysis, causal diagnosis, and priority repair strategies to minimize flat glass product defects. Aims: This study aimed to identify flat glass defect types using Seven Tools and formulate quality improvement proposals using New Seven Tools. Results: The study recorded 567 defective units. Shellchip was the dominant defect, accounting for 50% or 285 units, followed by scratch at 22% or 123 units, inclusion at 16% or 91 units, and stain at 12% or 68 units. The proposed priority improvements were tightening raw material quality checks from suppliers, implementing double checks during press cutter machine setting, routinely cleaning dirt on the roll, conducting spray tests before coating, and creating a preventive maintenance schedule for coating machines. Novelty: The study combines Seven Tools for quantitative defect analysis with New Seven Tools for structured causal exploration and improvement prioritization. Implications: The findings offer practical quality control actions for reducing flat glass defects and strengthening production reliability. Highlights: A total of 567 faulty units were recorded from January to September 2025. Scratch, inclusion, and stain followed at 22%, 16%, and 12%. Five priority actions addressed supplier checks, cutter setup, roll cleaning, spraying, and maintenance. Keywords: Flat Glass, New Seven Tools, Product Defect, Seven Tools, Quality Control
Lean Six Sigma Evaluation of Melamine Paint Delivery Quality Performance: Evaluasi Lean Six Sigma terhadap Kinerja Kualitas Pengiriman Cat Melamine Nurul Amalliyah; Dira Ernawati
Indonesian Journal of Innovation Studies Vol. 27 No. 3 (2026): July
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/ijins.v27i3.2008

Abstract

General Background Supply chain quality control is essential for ensuring that distributed products reach customers on time and in acceptable condition. Specific Background Melamine paint delivery involves several packaging types, including bottles, jericans, gallons, and pails, yet shipment defects still occur in the form of leaking gallons, burst gallons, dented pails, and broken bottles. Knowledge Gap Delivery quality studies still require integrated defect measurement and improvement prioritization that combines Lean Six Sigma, Root Cause Analysis, and Analytical Hierarchy Process in finishing material distribution. Aims This study evaluates the sigma level of melamine paint delivery defects and determines prioritized improvement actions to reduce shipment defects. Results Using Lean Six Sigma with the DMAIC approach, the study identified four Critical to Quality categories: leaking gallons, burst gallons, dented pails, and broken bottles. Pareto analysis showed that broken bottles were the dominant defect, with 463 cases or 66% of total defects, followed by dented pails at 15%, burst gallons at 13%, and leaking gallons at 6%. The average DPMO was 20,848, with a sigma level of 3.54. AHP weighting placed broken bottles as the highest-priority CTQ with a weight of 0.62. Novelty This study integrates Lean Six Sigma, RCA, and AHP to measure delivery defects and prioritize corrective actions. Implications Adding plywood bases to truck beds, stacking bottles by size, and arranging paint by delivery sequence can support better shipment quality control. Highlights: One packaging failure type accounted for 66% of total cases. Average DPMO reached 20,848 with a sigma level of 3.54. Top corrective actions focused on truck base protection and loading sequence. Keywords: Analytical Hierarchy Process, Defect, Lean Six Sigma, Melamine Paint, Root Cause Analysis
Waste Identification and Improvement in Raw Material Procurement Processes: Identifikasi dan Perbaikan Pemborosan dalam Proses Pengadaan Bahan Baku Ari Vera Hardiyanti; Dira Ernawati; Nur Rahmawati
Indonesian Journal of Innovation Studies Vol. 27 No. 3 (2026): July
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/ijins.v27i3.2009

Abstract

General Background: Efficient raw material procurement is essential for maintaining manufacturing flow, operational stability, and supply chain performance. Specific Background: PT XYZ, a steel plate and pipe fabrication company, faced procurement inefficiencies caused by non-value-added activities, delayed supplier delivery, limited storage capacity, repeated inspection, material returns, and suboptimal warehouse arrangement. Knowledge Gap: Previous studies have widely applied Value Stream Mapping to production processes, yet limited attention has been given to raw material procurement in steel fabrication, particularly through integrated waste mapping and risk prioritization. Aims: This study aimed to identify procurement waste and formulate targeted process recommendations using Value Stream Mapping, Failure Mode and Effect Analysis, and the 5W+1H framework. Results: The current condition showed a total lead time of 482 minutes, dominated by non-value-added activities. Waiting, defect, and overprocessing were the most critical waste categories, with Risk Priority Number values of 336, 315, and 252, respectively. Future Value Stream Mapping reduced total lead time to 318 minutes, yielding a 164-minute reduction. Novelty: The study integrates VSM and FMEA to connect process visualization with risk-based priority setting in raw material procurement. Implications: The findings provide a structured basis for supplier coordination, material quality standardization, inspection simplification, administrative streamlining, and procurement efficiency in steel fabrication operations. Highlights: Initial duration decreased from 482 to 318 after redesign. Waiting, defects, and overprocessing carried the highest risk priorities. The 5W+1H framework directed supplier, quality, inspection, and administration actions. Keywords: Failure Mode and Effect Analysis (FMEA), Raw Material Procurement, Value Stream Mapping (VSM)
Motorization Affects and Density Lowers Indonesian Environmental Quality: Motorisasi Berdampak dan Kepadatan Penduduk Menurunkan Kualitas Lingkungan di Indonesia Andreas Butarbutar; Ririt Iriani Sri Setiawati
Indonesian Journal of Innovation Studies Vol. 27 No. 3 (2026): July
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/ijins.v27i3.2139

Abstract

General Background: Environmental quality is increasingly pressured by daily human activities, demographic concentration, mobility growth, land conversion, waste generation, and fossil-fuel-based transportation. Specific Background: Indonesia experienced ecological challenges during 2018–2022, while motor vehicle growth and population density increased across provinces. Knowledge Gap: Previous studies on environmental quality commonly emphasized macroeconomic variables such as economic growth and industrialization, while direct human activity pressure through transportation mobility and demographic density remains less isolated in panel analysis. Aims: This study aimed to examine the relationship between motor vehicle numbers, population density, and the Environmental Quality Index across Indonesian provinces. Results: Using quantitative panel data from 34 provinces during 2018–2022 and the Fixed Effect Model selected through Chow and Hausman tests, the findings show that motor vehicle numbers had a positive and significant relationship with the Environmental Quality Index, with β = 0.0000065 and p = 0.0000. Population density had a negative and significant relationship, with β = −0.0223 and p = 0.0430. The model explained 87.689% of environmental quality variation. Novelty: This study isolates transportation mobility and demographic pressure as core human activity variables in Indonesian environmental quality analysis. Implications: The findings call for balanced policies that manage mobility growth, demographic pressure, and environmental protection while considering regional fiscal and ecological heterogeneity. Highlights: Vehicle numbers showed a positive significant coefficient. Demographic concentration reduced ecological carrying capacity. Provincial heterogeneity required Fixed Effect Model estimation. Keywords: JKB, Population Density, Environmental Quality
Workload and Decision Errors in Copper Cathode Harvesting Ira Galuh Ristanti; Tranggono Tranggono; Mega Cattleya Prameswari Anissa Islami
Indonesian Journal of Innovation Studies Vol. 27 No. 3 (2026): July
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/ijins.v27i3.2141

Abstract

General Background: Workload management is essential in high-risk manufacturing operations because excessive physical and cognitive demands can reduce concentration, productivity, and workplace safety. Specific Background: Copper cathode harvesting requires operators to work in demanding refinery conditions involving physical endurance, sustained attention, and accurate task execution. Knowledge Gap: Existing workload assessments often examine physical workload or human error separately, while integrated evidence combining cardiovascular load and cognitive reliability analysis in copper cathode harvesting remains limited. Aims: This study aimed to analyze operators’ physical and mental workload and identify potential human errors in copper cathode harvesting operations. Results: Using Cardiovascular Load and Cognitive Reliability and Error Analysis Method, data from 20 operators showed an average %CVL of 40.11%, classified as moderate physical workload, although one operator reached the heavy category and two operators reached the moderately heavy category. CREAM analysis placed the work in tactical control mode, with error probability ranging from 0.001 to 0.1. The highest Human Error Probability value was 0.1, found in evaluate, identify, and record cognitive activities. Novelty: This study integrates CVL and CREAM to connect physical workload, cognitive control mode, and human error probability in copper cathode harvesting. Implications: The findings support workload balancing, fatigue control, decision support, procedural reinforcement, and targeted safety improvements in refinery operations. Highlights: Average %CVL reached 40.11%, indicating a moderate burden category. Tactical control mode produced an error range of 0.001 to 0.1. Evaluate, identify, and record activities showed the highest HEP value. Keywords: CREAM, CVL, Human Error, Refinery Plant, Workload.
Distribution of The #Indonesiagelap Information Network on Social Media in The Audience's Social Movement Against Government Regulations: Distribusi Jaringan Informasi #Indonesiagelap di Media Sosial dalam Gerakan Sosial Khalayak Terhadap Regulasi Pemerintah Radita Gora Tayibnapis; Ana Kuswanti; Tito Dos Santos Baptista Jr; Amaliyah Izzul Islam
Indonesian Journal of Innovation Studies Vol. 27 No. 3 (2026): July
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/ijins.v27i3.2143

Abstract

General Background: Digital media has become a major arena for public protest, collective expression, political participation, and hashtag-based social movements. Specific Background: The #IndonesiaGelap movement emerged on social media as a public response to government regulations and policies perceived as unfavorable to society, and it circulated through platforms such as Twitter and TikTok. Knowledge Gap: The manuscript states that previous literature had not positioned #IndonesiaGelap as the main research object, while studies combining social movement analysis with network and survey approaches to identify negative communication remained limited. Aims: This study aimed to examine the distribution of information and communication networks around #IndonesiaGelap, identify actor roles, and analyze negative communication, hoax, and hate speech patterns using Network Society theory. Results: The study found that the social media network functioned as persuasive communication through unfiltered information and hate speech circulation. Actor networks appeared centralized, with driving actors forming sub-networks and anomalous accounts emerging within supporting clusters. Analysis of 64,816 comments on X showed 81% negative sentiment, 13% neutral sentiment, and 6% positive sentiment, with anger dominating negative comments at 22,482 comments. Novelty: The study focuses on #IndonesiaGelap through big data-based network analysis combined with survey logic. Implications: The findings support more transparent policy communication, dialogue-based governance responses, and deeper analysis of digital opinion leaders in contemporary social movements. Highlights: Big data mapping showed clustered actor roles and subgroups. Unfiltered information and hate speech circulated across platforms. Anomalous accounts appeared within supporting subclusters. Keywords: Social Movement, #Indonesiagelap, Social Network, Government Regulation

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