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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 981 Documents
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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
Markov Method Revolutionizes Paper Industry, Slashing Maintenance Costs Globally: Metode Markov Merevolusi Industri Kertas, Memangkas Biaya Pemeliharaan Secara Global Syaifullah, Dikril Ilham; Sukmono, Tedjo
Indonesian Journal of Innovation Studies Vol. 25 No. 4 (2024): October
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/ijins.v25i4.1176

Abstract

Paper manufacturing industries rely on efficient machinery for production processes, yet neglecting maintenance can lead to substantial costs. This study addresses the maintenance cost optimization challenge in a Pasuruan paper company, where maintenance expenses exceed 20% of the standard. Utilizing the Markov chain method, the research identifies optimal paper machine maintenance costs, achieving a 32% cost reduction. By analyzing data from company documents and literature reviews, specific machine states are identified, recommending overhaul strategies to enhance operational efficiency. The study's implications underscore the method's effectiveness in reducing costs and improving productivity for paper manufacturing industries, offering valuable insights for similar sectors. Highlights: 1. Neglecting maintenance in paper manufacturing leads to substantial costs.2. Markov chain method optimizes paper machine maintenance, reducing expenses.3. Implementation of optimal maintenance strategies significantly enhances financial sustainability. Keywords: Paper manufacturing, Maintenance optimization, Markov chain method, Cost reduction, Operational efficiency.
EOQ Optimization Revolutionizes Inventory Management, Delivering Cost Savings Globally: Optimalisasi EOQ Merevolusi Manajemen Inventaris, Menghasilkan Penghematan Biaya Secara Global Wardhani, Devira Kusuma; Sukmono, Tedjo
Indonesian Journal of Innovation Studies Vol. 25 No. 4 (2024): October
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/ijins.v25i4.1177

Abstract

Efficient inventory management is crucial for companies to minimize costs while ensuring adequate supply to meet demand. PT Samawa Tirta Alam, a bottled sweet drinking water company, faces significant inventory management issues, notably with refined sugar raw materials. High transportation costs and fluctuating demand contribute to excessive inventory accumulation and increased storage costs, necessitating an optimization strategy. This study implements the Economic Order Quantity (EOQ) method to address these challenges. Through a mixed-method approach, qualitative data were gathered via observations and interviews, while quantitative analysis utilized historical data to calculate optimal order quantities, frequencies, safety stock levels, and reorder points. Results demonstrate substantial cost savings, with optimal order quantities determined, reducing order frequencies from 12 to 2 times per year, and minimizing safety stock levels. The findings underscore the effectiveness of the EOQ method in enhancing cost-effectiveness and operational performance in raw material inventory management for similar companies. Highlights: 1. Cost Efficiency: EOQ method reduces total inventory costs effectively.2. Operational Precision: Minimizing safety stock enhances operational efficiency.3. Strategic Insight: Integrated approach provides practical solutions for inventory management challenges. Keywords: Inventory Management, Economic Order Quantity (EOQ), Cost Optimization, Raw Materials, Transportation Costs
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.
Revolutionizing Foam Cutting Efficiency in Indonesia with AutoCAD: Merevolusi Efisiensi Pemotongan Busa di Indonesia dengan AutoCAD Hakim, Resha Hibatur Rahman; Mulyadi
Indonesian Journal of Innovation Studies Vol. 25 No. 4 (2024): October
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/ijins.v25i3.1179

Abstract

Foam set machines are essential for cutting foam sheets in various industries, including furniture, textiles, and foam manufacturing. PT. Amangriya, using a custom foam set machine for two years, identified the need for efficiency improvements. This research aimed to enhance the foam set machine's design using AutoCAD software. Key improvements included an automatic top clamp, a flexible side clamp, and reduced machine dimensions. These modifications resulted in a more efficient and compact machine, facilitating easier manufacturing and assembly processes. The study highlights the potential for significant efficiency gains in the foam manufacturing industry through design enhancements. Highlight: Enhanced machine design with AutoCAD software improves efficiency and functionality. Key modifications include automatic top clamp and flexible side clamp. Reduced machine dimensions facilitate easier manufacturing and assembly. Keywoard: Foam set machine, design enhancement, efficiency, AutoCAD, manufacturing
IoT revolutionizes orchid cultivation in Indonesia with precision and efficiency: IoT merevolusi budidaya anggrek di Indonesia dengan presisi dan efisiensi Bisri, Hasan; Syahrorini, Syamsudduha
Indonesian Journal of Innovation Studies Vol. 25 No. 4 (2024): October
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/ijins.v25i4.1181

Abstract

The Orchidaceae family is highly valued in ornamental, perfume, medical, and cosmetic industries, but cultivation often fails due to human error. This research aims to design an IoT-integrated automation system to monitor and control key parameters such as air temperature, humidity, and moss moisture for orchid cultivation. Using the research and development method, we observed plant needs, reviewed relevant literature, designed an effective system, and tested sensor accuracy and system reliability. Results showed the DHT-22 sensor had a minimal error in temperature (0.9%) and humidity (2.1%) readings, and the soil moisture sensor had a 3.65% error. The system maintained optimal conditions, and the Blynk app effectively displayed data. This innovation reduces human error and enhances orchid cultivation efficiency, with potential applications in other sensitive plant systems. Highlight: Error Reduction: IoT system minimizes human error in orchid cultivation. Sensor Accuracy: DHT-22 sensors show minimal temperature (0.9%) and humidity (2.1%) errors. Optimal Conditions: Maintains air humidity 40%-80%RH and moss moisture 50%-80%RH. Keyword: Orchidaceae, IoT automation, sensor accuracy, environmental control, orchid cultivation
Innovative Service Quality Boosts Patient Satisfaction: Kualitas Layanan yang Inovatif Meningkatkan Kepuasan Pasien Firdaus, Muhammad Zaqqi Zamroni; Cahyana , Atikha Sidhi
Indonesian Journal of Innovation Studies Vol. 25 No. 4 (2024): October
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/ijins.v25i4.1182

Abstract

This study examines factors affecting service quality, patient satisfaction, and loyalty at Puskesmas XYZ, using Structural Equation Modeling (SEM) on data from 108 respondents. The results pinpoint doctor-patient interaction as crucial for service quality (loading factor 0.732), satisfaction (0.692), and loyalty (0.758). Suggestions include improving queue management, proposing a web-based system for efficiency. Future research can expand service quality variables for broader impact assessment. Highlight: Key Findings: Doctor interaction highly impacts patient loyalty and satisfaction. Recommendation: Implement web-based queue management for improved healthcare service. Future Research: Expand service quality variables for a broader patient assessment. Keyword: Service Quality, Patient Satisfaction, Loyalty, Structural Equation Modeling (SEM), Queue Management
NaOH Treatment Revolutionizes Strength of Fiber Composites Globally: Perlakuan NaOH Merevolusi Kekuatan Komposit Serat Secara Global Pamungkas, Wahyu Aji; Widodo, Edi
Indonesian Journal of Innovation Studies Vol. 25 No. 4 (2024): October
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/ijins.v25i4.1183

Abstract

This study investigates Sansivera fiber-reinforced composite materials treated with 15% NaOH alkaline liquid for different durations using the hand lay-up method. The aim is to determine the optimal treatment duration that enhances the tensile properties of these composites. Results indicate that longer NaOH treatment periods positively impact tensile strength, with the best outcomes observed at 15% treatment for 8 hours. These findings contribute to improving the mechanical performance of Sansivera fiber composites for various industrial applications. Highlight: Sansivera composites strengthen with 15% NaOH for 8 hours. Hand lay-up method enhances industrial applicability. Optimal treatment duration for Sansivera fibers is highlighted. Keyword: Sansivera fiber composites, NaOH alkaline treatment, Tensile strength enhancement, Hand lay-up method, Industrial applications
Markov Chains Slash Inventory Costs in Indonesia: Rantai Markov Memangkas Biaya Persediaan di Indonesia Mishani, Adinda Chamilia; Sukmono, Tedjo
Indonesian Journal of Innovation Studies Vol. 25 No. 4 (2024): October
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/ijins.v25i4.1184

Abstract

PT. Varia Usaha Beton, facing an 8% decline in 2022 targets due to uncontrolled inventory and a 15,150-ton overstock of sand at its BSP Sayung plant, needed an effective solution. This study applied a Markov chain model with perfect enumeration to optimize sand inventory management. Qualitative data from observations, expert interviews, and company records (2021-2022) and quantitative analysis identified Policy 58 as optimal, reducing excess costs to Rp. 32,463,360 monthly. Implementing improvements in specific overstock states (3, 4, 5, and 6) provides a strategic approach to minimize sand overstock and associated costs. Highlight: Inventory Decline: 8% target drop due to uncontrolled inventory in 2022. Optimal Policy: Policy 58 reduced monthly excess costs to Rp. 32,463,360. Strategic Improvements: Implement changes in states 3, 4, 5, and 6 to manage overstock. Keywoard: Inventory Control, Markov Chain, Perfect Enumeration, Overstock Management, Construction Materials
Transforming Aluminum Welding Through FSW Innovations: Mengubah Pengelasan Aluminium Melalui Inovasi FSW Sjaifulah, Sandifta Iffah; Mulyadi
Indonesian Journal of Innovation Studies Vol. 25 No. 4 (2024): October
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/ijins.v25i4.1186

Abstract

This study explores the impact of process parameters on the macrostructure of Aluminum alloy AA6061-T651 welded via Friction Stir Welding (FSW). Using Fillet joints and hexagonal tool geometries, the study investigates variations in tool rotation speed, tool tilt angle, and depth of penetration. Results show that specimens with a tool tilt angle of 3.4° exhibit optimal macrostructural properties, including equiaxed structures and increased Mg2Si phases, enhancing mechanical properties. This research contributes valuable insights for optimizing FSW parameters in AA6061-T651 welding, with implications for improving weld quality and performance in industrial applications. Highlight: FSW affects AA6061-T651 macrostructure. Optimal parameters improve mechanical properties. Study enhances aluminum weld quality. Keyword: Friction Stir Welding (FSW), Aluminum alloy AA6061-T651, Process parameters, Macrostructure analysis, Mechanical properties

Page 59 of 99 | Total Record : 981

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