cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Hindarto
Contact Email
jurnal@umsida.ac.id
Phone
-
Journal Mail Official
jurnal@umsida.ac.id
Editorial Address
Jl. Mojopahit No. 666B, Sidoarjo, Jawa Timur
Location
Kab. sidoarjo,
Jawa timur
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 21 Documents
 1   2   3 
Search results for , issue "Vol. 25 No. 3 (2024): July" : 21 Documents clear
Indonesia's Breakthrough in Optimized Yarn Forecasting for Textile Demand Accuracy: Terobosan Indonesia dalam Peramalan Benang yang Dioptimalkan untuk Akurasi Permintaan Tekstil Lindyawati, Lely; Sari W, Indah Apriliana; Cahyana , Atikha Sidhi; Sukmono, Tedjo
Indonesian Journal of Innovation Studies Vol. 25 No. 3 (2024): July
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/ijins.v25i3.1164

Abstract

PT. XY, a textile company specializing in woven sarongs, faces fluctuating demand during Islamic religious celebrations, impacting production. In Ramadhan 2023, production increased by 30%, but warp yarn availability was insufficient. This study forecasts warp yarn production over twelve periods, comparing Double Exponential Smoothing Holt’s (DES) and Holt-Winter’s Exponential Smoothing (WES) methods, optimized using the golden section method. Using historical data from January 2021 to April 2023, WES with golden section parameters (α1 = 0.67387, β1 = 0.08756, γ2 = 0.85408) achieved the best accuracy with a MAPE of 5.5437%. The WES method is recommended for improving production planning at PT. XY, with future research suggested to explore production correlations and procurement costs. Highlight: Demand Fluctuation: PT. XY experiences significant demand changes during Islamic religious celebrations. Forecasting Methods: Comparing DES and WES methods for predicting warp yarn production. Optimal Accuracy: WES with golden section optimization achieved the lowest MAPE of 5.5437%. Keywoard: Textile Industry, Warp yarn forecasting, Production Planning, Holt-Winter's method, Golden section optimization
Queue Optimization Study for Retail Efficiency Enhancement: Studi Optimalisasi Antrian untuk Peningkatan Efisiensi Ritel Setiabudi, Edo; Cahyana, Atikha Sidhi
Indonesian Journal of Innovation Studies Vol. 25 No. 3 (2024): July
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/ijins.v25i3.1165

Abstract

Minimarkets face challenges of overcrowding and prolonged wait times, often due to suboptimal cashier staffing. This study aims to determine the optimal number of cashiers to minimize queues. Using a single-phase multi-channel queuing model, data was collected through direct observation and quantitative analysis. Initial findings with two cashiers revealed varying wait times, prompting simulation experiments. Results indicated that adding a third cashier significantly reduced wait times to 0.41-2.45 minutes, enhancing service efficiency and customer satisfaction. Future research may explore longer observation periods and assess cost-effectiveness in staffing adjustments. Highlight: Data Analysis: Direct observation, quantitative data, and Excel processing for insights. Simulation Test: Arena software simulates cashier scenarios for service optimization. Efficiency Boost: Adding a cashier reduces wait times, enhancing customer satisfaction. Keywoard: Minimarket, Queuing Model, Cashier Optimization, Service Efficiency, Customer Satisfaction.
Transforming Indonesian Washing Machines into Efficient Wind Generators: Mengubah Mesin Cuci Indonesia Menjadi Pembangkit Listrik Tenaga Angin yang Efisien Putra , Ahmad Nurwanda Bawono; Firdaus, Rachmat
Indonesian Journal of Innovation Studies Vol. 25 No. 3 (2024): July
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/ijins.v25i3.1166

Abstract

People's consumption of household electronic devices is increasing, leading to higher energy demand in Indonesia, with washing machines being a significant contributor. This study explores repurposing used washing machine dynamos into electricity generators for windmills. Researchers used an LG washing machine dynamo and N52 neo super magnets, testing pulley diameters of 12 cm, 15 cm, 18 cm, and 20 cm. Results showed that larger pulleys increased generator output, with a 20 cm pulley producing 26 volts, 1.3 amperes, and 2525 rpm. However, the efficiency was low at 8.69%, indicating a need for further optimization. This approach has potential for sustainable energy solutions and reducing electronic waste. Highlight: Repurpose Dynamos: Converts washing machines to windmill generators, reducing electronic waste. Efficiency Challenge: Larger pulleys improve output but efficiency is only 8.69%. Sustainable Impact: Offers potential for sustainable energy and lower household consumption. Keyword: household electronics, energy consumption, washing machine dynamo, windmill generator, sustainable energy
Innovation in Facility Layout Optimization through Heavy Equipment Repair revolution: Inovasi dalam Optimalisasi Tata Letak Fasilitas melalui revolusi Perbaikan Alat Berat Prediansyah, Mochamad Afan Wahyu; Cahyana , Atikha Sidhi
Indonesian Journal of Innovation Studies Vol. 25 No. 3 (2024): July
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/ijins.v25i3.1167

Abstract

This study addresses the challenge of prolonged forklift repair times at PT Karya Mitra Teknik, a heavy equipment repair company, attributed to inefficient facility layout. Through field observations and stakeholder interviews, Activity Relationship Chart (ARC) and Analysis Allocation Diagram (AAD) methods were applied to identify inefficiencies and propose layout improvements. Results show a significant reduction in total repair area distance from 110 meters to 55 meters, indicating enhanced operational efficiency. The findings underscore the importance of optimizing facility layout in heavy equipment repair workshops to streamline operations and reduce repair turnaround times, offering practical implications for similar industries seeking cost-effective solutions. Highlights: 1. Efficient facility layout reduces repair area distance.2. ARC and AAD methods streamline resource allocation.3. Optimal layout enhances operational efficiency, reduces turnaround times. Keywords: Facility Layout Optimization, Heavy Equipment Repair, Operational Efficiency, Activity Relationship Chart (ARC), Analysis Allocation Diagram (AAD)
Revolutionizing Project Resilience through Advanced Risk Mitigation Strategy Launched: Merevolusi Ketahanan Proyek melalui Strategi Mitigasi Risiko Tingkat Lanjut Diluncurkan Oktaviana, Hanifah; Jakaria, Ribangun Bamban
Indonesian Journal of Innovation Studies Vol. 25 No. 3 (2024): July
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/ijins.v25i3.1168

Abstract

This study examines the risks associated with project delays in the Mover Tram rail line repair project at TMII and proposes mitigation strategies using a combination of Risk Breakdown Structure (RBS), Analytical Network Process (ANP), and Bow Tie Analysis methodologies. Through expert interviews, questionnaires, and document analysis, key risks were identified and prioritized. Results indicate that construction management emerged as the dominant risk group, with specific risks including delays in critical path tasks and discrepancies between drawings and methods. Mitigation strategies were developed focusing on these dominant risks. The study underscores the importance of integrating diverse risk assessment techniques for effective project management and suggests avenues for future research to enhance risk management frameworks in construction projects. Highlights: 1. Integrated risk analysis enhances project resilience.2. Construction management pivotal for identifying and mitigating project risks.3. Future research: Explore cost-related risks for improved project outcomes. Keywords: Project delays, Risk management, Construction projects, Mitigation strategies, Analytical methodologies
Revolutionizing Crystal Guava Production through Six Sigma and Kaizen Insights: Merevolusi Produksi Jambu Kristal melalui Wawasan Six Sigma dan Kaizen Mauli, Fajar Dwi; Cahyana , Atikha Sidhi; Sukmono, Tedjo; Jakaria, Ribangun Bamban
Indonesian Journal of Innovation Studies Vol. 25 No. 3 (2024): July
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/ijins.v25i3.1169

Abstract

This study addresses the quality issues in crystal guava production at UD Bumiaji Sejahtera using the Six Sigma and Kaizen methodologies. By analyzing factors like non-uniform maturity, black spots, fruit rot, shape defects, and seed defects, this research aims to identify key areas for improvement. Results indicate that non-uniform maturity contributes significantly to defects, highlighting the need for improved pest control, efficient application methods, regular maintenance, material inspection, and enhanced standards for farmers and agricultural workers. These findings offer practical insights for enhancing crystal guava production quality and reducing defects at UD Bumiaji Sejahtera. Highlight: Six Sigma and Kaizen for Crystal Guava Quality Enhancement. Non-uniform Maturity Identified as Key Defect Contributor. Recommendations: Improved Pest Control, Application Methods, and Standards for Farmers. Keyword: Crystal Guava Production, Six Sigma, Kaizen, Quality Improvement, Defect Reduction
Optimized Smart Home Temperature Monitoring Using IoT: Pemantauan Suhu Rumah Pintar yang Dioptimalkan Menggunakan IoT Putra, Dandi Pratama; Ayuni , Shazana Dhiya
Indonesian Journal of Innovation Studies Vol. 25 No. 3 (2024): July
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/ijins.v25i3.1170

Abstract

This research aims to monitor residential home temperatures using the Internet of Things (IoT) and Google Sheets. By adopting a Research and Development (R&D) approach, the study designs and tests a temperature monitoring tool with DHT11 sensors, NodeMCU ESP8266, and LCD displays. Data is integrated into Google Sheets for real-time access. The results show improved service efficiency, reducing waiting times to 0.41-2.45 minutes, with fewer waiting customers and lower utilization rates. This system enhances living conditions by providing easy temperature monitoring, recommending future studies to extend data collection periods for comprehensive analysis. Highlight: Efficient Monitoring: Real-time temperature data via Google Sheets. Integrated System: Uses DHT11 sensors and NodeMCU ESP8266. Research Implications: Extend data collection for thorough analysis. Keywoard: Temperature Monitoring, Internet of Things, Google Sheets, DHT11 Sensors, NodeMCU ESP8266
Overcoming Boredom with a Better Work Environment in Indonesia: Mengatasi Kebosanan dengan Lingkungan Kerja yang Lebih Baik di Indonesia Afiyanto, Muhammad Alfin; Putra , Boy Isma
Indonesian Journal of Innovation Studies Vol. 25 No. 3 (2024): July
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/ijins.v25i3.1172

Abstract

CV. Lima Cahaya, a printing services company, faced a significant increase in employee-related complaints from 2021 to 2022, primarily due to lack of thoroughness linked to boredom. This study aimed to analyze the impact of physical and non-physical work environments and psychological conditions on employee boredom. Using a questionnaire completed by 20 employees and analyzed through multiple linear regression and Importance Performance Analysis (IPA), results showed that improvements in the work environment significantly reduce boredom (Y=0.721+0.547X1+0.339X2+0.088X3). The high satisfaction levels (above 80%) indicate that the current environment meets employee expectations, providing insights for management to enhance employee performance and reduce complaints. Highlight: Complaint Rise: 37% increase in employee complaints due to boredom. Influential Factors: Work environment and psychological conditions affect employee boredom. High Satisfaction: IPA shows over 80% satisfaction with current work conditions. Keyword: printing services, employee boredom, work environment, multiple linear regression, Importance Performance Analysis
Revealing the Smartphone Purchasing Behavior of Umsida Students : Mengungkap Perilaku Pembelian Smartphone Mahasiswa Umsida Fernata, Farhan; Cahyana , Atikha Sidhi
Indonesian Journal of Innovation Studies Vol. 25 No. 3 (2024): July
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/ijins.v25i3.1175

Abstract

This study investigates the factors influencing smartphone purchasing decisions among Umsida students, focusing on product quality, price, brand, and promotion. Using a quantitative approach with 140 respondents and Structural Equation Modeling (SEM) analysis, the research found that while product quality and price had no significant impact on purchasing decisions, promotion and brand significantly influenced students' choices. These findings offer valuable insights for marketing strategies targeting this demographic, suggesting a need to prioritize promotional efforts and brand positioning to enhance consumer engagement and decision-making processes among Umsida students. Highlight: Quantitative Analysis with SEM: Rigorous methodology for smartphone purchasing factors among Umsida students. Promotion and Brand Impact: Crucial influencers in Umsida students' smartphone buying decisions. Marketing Insights: Prioritize promotion and brand for effective Umsida student engagement. Keyword: Smartphone Purchasing Decisions, Umsida Students, Product Quality, Promotion, Brand Influence
Neural Network Sales Revolution Outperforms Exponential Smoothing: Revolusi Penjualan Jaringan Syaraf Mengungguli Perataan Eksponensial Sari, Safia Meilia; Sari Wulandari, Indah Apriliana
Indonesian Journal of Innovation Studies Vol. 25 No. 3 (2024): July
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/ijins.v25i3.1178

Abstract

This research addresses the challenges faced by food manufacturing companies, focusing on UD. XYZ as a case study. With fluctuating sales levels causing raw material buildup and shortages, the study proposes an improved sales forecasting method to enhance raw material control. By comparing Artificial Neural Network (ANN) and Double Exponential Smoothing Holts, the research aims to optimize inventory management and production processes. Results indicate ANN's superiority over Holts, with an accuracy rate of 0.118 compared to 11.639. The ANN model accurately forecasts sales for the upcoming twelve-month period, highlighting a decline from July 2023 to May 2024. Implementing advanced forecasting methods can mitigate raw material-related risks and enhance operational efficiency for companies like UD. XYZ. Highlight: Enhanced sales prediction methods crucial for inventory planning. Artificial Neural Network outperforms traditional forecasting techniques. Improved forecasting mitigates raw material shortages and excesses. Keywoard: Sales forecasting, Artificial Neural Network, Raw material control, Inventory management, Production optimization.

Page 2 of 3 | Total Record : 21

 1   2   3 

Filter by Year

2024 2024


Reset
Filter By Issues
All Issue Vol. 27 No. 2 (2026): April Vol. 27 No. 1 (2026): January Vol. 26 No. 4 (2025): October Vol. 26 No. 3 (2025): July Vol. 26 No. 2 (2025): April Vol. 26 No. 1 (2025): January Vol. 25 No. 4 (2024): October Vol. 25 No. 3 (2024): July Vol. 25 No. 2 (2024): April Vol. 25 No. 1 (2024): January Vol. 24 (2023): October Vol. 23 (2023): July Vol. 22 (2023): April Vol. 21 (2023): January Vol. 20 (2022): October Vol. 19 (2022): July Vol. 18 (2022): April Vol. 17 (2022): January Vol. 16 (2021): October Vol. 15 (2021): July Vol. 14 (2021): April Vol. 13 (2021): January Vol. 12 (2020): October Vol. 11 (2020): July Vol. 10 (2020): April Vol. 9 (2020): January Vol. 8 (2019): October Vol. 7 (2019): July Vol. 6 (2019): April Vol. 5 (2019): January More Issue