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All Journal Jurnal Teknik Industri R.E.M (Rekyasa Energi Manufaktur) Jurnal Knowledge Engineering and Data Science PROZIMA (Productivity, Optimization and Manufacturing System Engineering) JATI UNIK : Jurnal Ilmiah Teknik dan Manajemen Industri Home Economics Journal Tibuana : Journal of Applied Industrial Engineering Industri Inovatif : Jurnal Teknik Industri INAQUE: Journal of Industrial & Quality Engineering Jurnal Graha Pengabdian Multidiciplinary Output Research for Actual and International Issue (Morfai Journal) Jurnal Pengabdian Masyarakat Bhinneka IRA Jurnal Pengabdian Kepada Masyarakat
Nurdiansyah Rudi
Universitas Negeri Malang
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mechanical Engineering Public Health Social Sciences Other

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Optimization of Packaging Design for Bumbu Pecel Putri Srikandi Using the Quality Function Deployment (QFD) Method Tutuko, Putri Kinanti Ayu Hapsari; Nurdiansyah, Rudi
R.E.M. (Rekayasa Energi Manufaktur) Jurnal Vol 10 No 2 (2025): December
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/r.e.m.v10i2.1782

Abstract

Micro, Small, and Medium Enterprises (MSMEs) play a vital role in the Indonesia economy, contributing over 60% to GDP and employing nearly 97% of the workforce. Competitiveness can be improved through packaging that protects product, strengthens brand identity, and attracts consumers. Putri Srikandi, a traditional peanut sauce (bumbu pecel) producer, still uses simple plastic packaging, limiting its market appeal. This study redesigns the packaging using Quality Function Deployment (QFD) through House of Quality (HoQ) to translate consumer preferences into technical specifications. Data from 112 respondents identify 13 key attributes, with readable font color (A3) and eco-friendly packaging (A5) scoring the highest (4.13), while attractive packaging design (A1) and hygiene (A12) scored the lowest (3.96). Benchmarking shows the product underperforms compared to competitors. HoQ analysis produces 13 technical responses, with top priorities are clear producer information (A6, RW = 7.75; NRW = 9%), and brand/logo visibility (A8, RW = 7.71; NRW = 8%). The final design integrates modern aesthetics, local identity, spiciness-based color coding, and eco-friendly materials to enhance competitiveness and consumer trust.
PENDEKATAN EUROPEAN FOUNDATION FOR QUALITY MANAGEMENT (EFQM) UNTUK EVALUASI DALAM PENINGKATAN KINERJA ORGANISASI SECARA BERKELANJUTAN Tamara Rahma Widowati; Aufa, Muhammad Izzul; Izzul, Muhammad; Nurdiansyah, Rudi
Inaque : Journal of Industrial and Quality Engineering Vol 13 No 2 (2025): Inaque Oktober 2025
Publisher : Teknik Industri Unikom

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/iqe.v13i2.17894

Abstract

Increasing competition drives companies to adopt performance measurement tools that ensure continuous improvement. This study assesses and improves the performance of PT. XYZ, a developing plywood manufacturer, using the European Foundation for Quality Management (EFQM) model. An explanatory quantitative approach was applied with data from 110 employees through validated and reliable questionnaires. The company scored 698 out of 1000, indicating high performance. Strengths were found in Purpose, Vision, and Strategy, while weaknesses appeared in Organizational Culture and Leadership, Driving Performance and Transformation, and Creating Sustainable Value. Significant correlations were identified between the Direction and Execution dimensions and Stakeholder Perception. Recommendations include strengthening organizational culture, enhancing human resource development, and regularly evaluating stakeholder perceptions. The EFQM model proves effective as a framework for guiding sustainable performance improvement.
COMPARATIVE ANALYSIS OF TREE-BASED ALGORITHMS FOR CUSTOMER SATISFACTION CLASSIFICATION IN THE LOGISTICS INDUSTRY: A CASE STUDY OF JNE AND J&T EXPRESS Kevin Benedicta; Rudi Nurdiansyah
Multidiciplinary Output Research For Actual and International Issue (MORFAI) Vol. 6 No. 3 (2026): Multidiciplinary Output Research For Actual and International Issue
Publisher : RADJA PUBLIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.20682199

Abstract

The rapid growth of Indonesia’s e-commerce sector has intensified competition within the logistics industry, positioning customer satisfaction as a critical determinant of competitive advantage. However, the multidimensional and non-linear nature of service quality complicates traditional statistical analysis. This study aims to compare the performance of three tree-based machine learning algorithms (Decision Tree, Random Forest, and Gradient Boosting) in classifying customer satisfaction for JNE and J&T Express, while identifying the key service quality dimensions driving satisfaction. Using a validated dataset of 408 respondents, individual service indicators are modeled as predictive features. Hyperparameter tuning is conducted through 500-iteration Randomized Search with 5-fold cross-validation. The results show that the Decision Tree achieves the highest performance for the JNE dataset with an accuracy of 78.05%, precision of 79.16%, recall of 78.05%, and an F1-score of 77.84%. In contrast, Gradient Boosting outperforms other models for the J&T Express dataset with an accuracy of 81.71%, precision of 81.69%, recall of 81.71%, and an F1-score of 81.37%. Furthermore, Feature Importance analysis consistently identifies Shipping Cost as the dominant predictor of satisfaction. These findings highlight the efficacy of tree-based machine learning in decoding complex satisfaction patterns, offering actionable, data-driven insights for logistics service providers.
STAFFING GAP ANALYSIS FOR CONCRETE PUMP TECHNICIANS: A WLA AND FTE APPROACH IN THE HEAVY EQUIPMENT RENTAL INDUSTRY Muhammad Nursyamsu Alhafidh; Anik Dwiastuti; Rudi Nurdiansyah
Multidiciplinary Output Research For Actual and International Issue (MORFAI) Vol. 6 No. 4 (2026): Multidiciplinary Output Research For Actual and International Issue
Publisher : RADJA PUBLIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.21899646

Abstract

Ensuring operational efficiency in the heavy equipment rental business requires a precise alignment between equipment availability and workforce capacity, particularly for concrete pump technicians operating across demanding project sites. This study addresses the empirical gap in technician staffing adequacy by applying Workload Analysis (WLA) and Full-Time Equivalent (FTE) within a heavy equipment rental company. Activity data from five technicians were collected through structured interviews and verified through layered validation involving HRD judgment, managerial review, and company work reports. The analysis produced a total annual workload of 6,221.25 hours, equivalent to 3.31 FTE, quantifying an overstaffing condition in which individual FTE values ranged from 0.60 to 0.71, all classified as underload. Scenario analysis further demonstrated that a staffing level of three technicians yields an FTE of 1.10, the only configuration falling within the normal workload range. These findings extend the application of WLA and FTE to concrete pump maintenance in heavy equipment rental, a context that remains limited in prior workforce planning literature, and demonstrate the value of multi-layered data validation in improving the accuracy of workforce requirement assessments.
ERGONOMIC RISK LEVEL ANALYSIS USING NORDIC BODY MAP (NBM), RULA, AND REBA METHODS ON MURYA 2 COLLECTION TAILORS Novia Ramadhani Widya Prasetyo; Anik Dwiastuti; Rudi Nurdiansyah; Abdul Muid; Muhammad Nursyamsu Alhafidh; Rafida Salwa Nida; Zahra Aulia Fitri
Multidiciplinary Output Research For Actual and International Issue (MORFAI) Vol. 6 No. 4 (2026): Multidiciplinary Output Research For Actual and International Issue
Publisher : RADJA PUBLIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.20933631

Abstract

This study aims to analyze ergonomic risk levels among sewing workers at Murya 2 Collection using the Nordic Body Map (NBM), Rapid Upper Limb Assessment (RULA), and Rapid Entire Body Assessment (REBA). This study used a descriptive design with an observational ergonomics approach. The subjects were six active sewing workers, and data were collected through NBM questionnaires, direct observation, photographic documentation, and interviews. NBM was used to identify subjective musculoskeletal complaints, while RULA and REBA were applied to assess objective postural risks during sewing activities. The results showed that the highest complaints occurred in the upper back, neck, lower neck, right shoulder, middle back, lower back, right wrist, right hand, and right foot sole. Based on total NBM scores, two workers were categorized as high risk, while four workers were categorized as moderate risk. RULA results showed that most workers were in the medium-high risk category, whereas REBA results indicated that all workers were in the medium risk category. The use of the three methods showed that dominant complaints were generally consistent with postural risk findings. Recommended improvements include scheduled microbreaks, targeted stretching, posture awareness, foot relaxation, and simple workstation adjustments suitable for SME conditions.
EVALUATING CONTINUOUS REVIEW AND PERIODIC REVIEW SYSTEMS FOR BOTTLED WATER RAW MATERIAL INVENTORY MANAGEMENT Syahidah Amaturrosyid; Rudi Nurdiansyah; Abdul Muid; Aisyah Larasati; Sevira Nallendra Putri; Shafa Wulan Ramadhanti; Virna Rachma Fitriani
Multidiciplinary Output Research For Actual and International Issue (MORFAI) Vol. 6 No. 4 (2026): Multidiciplinary Output Research For Actual and International Issue
Publisher : RADJA PUBLIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.21914555

Abstract

Intuition-based inventory planning at PT XYZ, a brand-owning bottled water company, has led to inventory imbalances resulting in overstocking and stockouts that trigger cost inefficiencies. This study aims to perform a comparative analysis between the company's actual policy, the Continuous Review System (Q-System), and the Periodic Review System (P-System) methods to optimize inventory costs. The research utilizes a quantitative comparative approach on 330 mL and 600 mL variants using 2025 operational data. The results indicate that the Q-System can reduce operational costs by up to 33,62%, while the P-System only yields marginal cost savings of 4,04% compared to the actual method. For both the 330 mL and 600 mL variants, the Q-System proved to be the definitively superior model by maintaining a much smaller, yet highly secure safety stock. In conclusion, the company is advised to fully transition its inventory policy to the Q-System to minimize physical holding costs while effectively eliminating the expensive risk of stockouts in a volatile market.
CUSTOMER SATISFACTION ANALYSIS ON SERVICE QUALITY USING SERVQUAL, CUSTOMER SATISFACTION INDEX, AND IMPORTANCE PERFORMANCE ANALYSIS Nur Afifah; Anik Dwiastuti; Rudi Nurdiansyah; Rizky Asyari; Ammar Hilmi Fauzaan; Syechan Ali
Multidiciplinary Output Research For Actual and International Issue (MORFAI) Vol. 6 No. 4 (2026): Multidiciplinary Output Research For Actual and International Issue
Publisher : RADJA PUBLIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.21867091

Abstract

This study aims to analyze customer satisfaction toward service quality at PH Clothing in Malang City using SERVQUAL, Customer Satisfaction Index (CSI), and Importance Performance Analysis (IPA) approach. A quantitative descriptive method is employed by involving 75 respondents. Data are collected from a structured questionnaire based on five SERVQUAL dimensions and analyzed through gap analysis, CSI computation, and IPA mapping. The results indicate that all SERVQUAL dimensions exhibit negative gap values, with the largest gap found in the reliability dimension (−1.45), highlighting issues in product consistency and delivery punctuality. The overall service quality ratio (Q = 0.958) confirms that service performance has not yet met customer expectations. The CSI value of 72.62% places customer satisfaction in the “satisfied” category. IPA results identify four critical attributes requiring immediate improvement, i.e. clarity of production and delivery information, complaint handling, product quality, and service speed. These findings provide actionable insights into strategic service improvement to enhance customer satisfaction and competitiveness.
OPTIMIZATION OF LSTM HYPERPARAMETERS USING GREY WOLF OPTIMIZATION AND HYPERBAND FOR PREDICTING BRI STOCK PRICES Eko Budi Pratama; Rudi Nurdiansyah; Muhammad Ali Ridho; Irsyad Khoirun Ramadhan; Ibnu Toharri
Multidiciplinary Output Research For Actual and International Issue (MORFAI) Vol. 6 No. 5 (2026): Multidiciplinary Output Research For Actual and International Issue
Publisher : RADJA PUBLIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.22040049

Abstract

This research compares the performance of the Hyperband and Grey Wolf Optimization (GWO) algorithms in optimizing the hyperparameters of the Long Short-Term Memory (LSTM) model for predicting the stock price of Bank Rakyat Indonesia (BRI). Stock price prediction is a complex problem due to the dynamic and nonlinear characteristics of time series data. The dataset used consists of historical BRI stock data for the 2018-2025 period, obtained from Yahoo Finance. The optimization process was performed on several LSTM hyperparameters, including units, learning rate, dropout, optimizer, batch size, and epoch. Model performance was evaluated using Root Mean Square Error (RMSE). The results show that the LSTM-GWO model outperforms the LSTM-Hyperband model, with an RMSE of 75.93 compared to 77.60. However, Hyperband is more computationally efficient than GWO. The findings indicate that the GWO algorithm is more effective at improving prediction accuracy, while Hyperband excels in tuning efficiency. This study is expected to contribute to the development of hyperparameter optimization methods for deep learning models used in time-series-based stock price prediction.
The Effect of the Number of Hidden Layers on The Performance of Deep Q-Network for Traveling Salesman Problem Hanif, Benzfica; Larasati, Aisyah; Nurdiansyah, Rudi; Le, Trung
Knowledge Engineering and Data Science
Publisher : citeus

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The Traveling Salesman Problem (TSP) effectively represents the complex distribution issues encountered by couriers, who must carefully plan a route that includes all customer addresses while minimizing the distance traveled. As the magnitude of deliveries and the range of destinations expand, the courier's responsibility becomes progressively challenging. In this particular context, the objective of our research is to expand the existing knowledge and explore the complete capabilities of Deep Q-Network (DQN) models in order to achieve the most efficient route determination. This endeavor can potentially bring about significant changes in the courier and delivery service sector. The foundation of our unique methodology relies on an empirical inquiry, utilizing a comprehensive dataset including 178 observations obtained from motorcycle-based package delivery agents. Our research is carefully planned and executed using a comprehensive factorial experimental design. This design incorporates three crucial factors: the number of hidden layers, episodes, and epochs. The hidden layer parameter is set to a singular level, while the episode parameter is configured to explore five levels, and the epoch parameter is designed to travel four levels. The evaluation of our DQN models' performance is conducted utilizing the MSE metric as a measure. This assessment is carried out at every iterative cycle, ensuring thorough scrutiny. The central focus of our research centers on the intricate connection between episodes and epochs, and their influence on MSE. The findings of our study reveal that the association between episodes, epochs, and errors is not statistically significant although different level of episodes and epochs produces slightly different level of error.
Developing Strategies for Improving The Performance of Educational Institutions Using The European Excellence Model: Pengembangan Strategi Peningkatan Kinerja Institusi Pendidikan Menggunakan European Excellence Model Rudi Nurdiansyah; Muhammad Izzul Aufa; Nikmatus Sholikha; Chintia Dwi Wangsa Kuswardani; Tamara Rahma Widowati
PROZIMA (Productivity, Optimization and Manufacturing System Engineering) Vol. 9 No. 2 (2025): December
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/prozima.v9i2.1693

Abstract

This study aims to develop performance improvement strategies for educational institutions based on theEuropean Excellence Model (EEM). The research is conducted at an upper secondary-level educational institution in Malang City using a self-assessment method and a questionnaire constructed based on seven criteria and 32 subcriteria of the EEM. The analysis involves scoring and examining correlations between the Direction and Execution dimensions with the Results dimension, particularly stakeholder perceptions. The institution scores a total of 360 points, identifying several priority areas for improvement, such as organizational culture and performance transformation. The proposed strategies leverage significant internal strengths to address the identified weaknesses
Co-Authors Abdul Muid Aisyah Larasati Alfarisyi, Ri’syad Salman Alhafidh, Muhammad Nursyamsu Ammar Hilmi Fauzaan Anik Dwiastuti Apriliana Sari W., Indah Aufa, Muhammad Izzul Azzahra, Prestika Dilla Budi Santosa Budi Santosa Budi Santosa Chintia Dwi Wangsa Kuswardani Eko Budi Pratama Erwin Komara Mindarta Esin Sintawati Fini Alfionita Umar Fuad Indra Kusuma Hamas, Ryan Wajdy Hanif, Benzfica Ibnu Toharri Irsyad Khoirun Ramadhan Isma P., Boy Izzul, Muhammad Kareem, Nafi Karika, Sri Kevin Benedicta Kuswardani, Chintia Dwi Wangsa Le, Trung Mubarok, Zamruda Sariangi Sauqi Muhammad Ali Ridho Muhammad Izzul Aufa Muhammad Mukhsin J. Muhammad Nursyamsu Alhafidh Nikmatus Sholikha Nikmatus Sholikha, Nikmatus Novia Ramadhani Widya Prasetyo Nur Afifah Nur Endah Purwaningsih Permana, Yafi Elian Rafida Salwa Nida Rizky Asyari Sandi Surya Wijaya Sevira Nallendra Putri Shafa Wulan Ramadhanti Stefanus Eko Wiratno Stefanus Eko Wiratno, Stefanus Syahidah Amaturrosyid Syechan Ali Tamara Rahma Widowati Tamara Rahma Widowati Toyyibah, Corin Saila Rizqi Tutuko, Putri Kinanti Ayu Hapsari Virna Rachma Fitriani Widayat, Vereline Abigael Yudistira, Febrina Dzuldah Zahra Aulia Fitri