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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 Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik 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 Eduvest - Journal of Universal Studies IRA Jurnal Pengabdian Kepada Masyarakat Jurnal Pengabdian Masyarakat dan aplikasi Teknologi
Nurdiansyah Rudi
Universitas Negeri Malang
Religion Aerospace Engineering 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 Neuroscience Public Health Social Sciences Other

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Pembuatan Tempat Pemilah Sampah sebagai Strategi Peningkatan Kualitas Lingkungan pada Desa Mangliawan Nurdiansyah, Rudi; Alfarisi, Zaky Salman; Yuniashafa, Risma Salaza; Muid, Abdul; Dwiastuti, Anik; Sholikha, Nikmatus; Kuswardani, Chintia Dwi Wangsa
Jurnal Pengabdian Masyarakat dan aplikasi Teknologi Vol. 4, No. 1: March 2025
Publisher : Institut Teknologi Adhi Tama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/j.adipati.2025.v4i1.6878

Abstract

Desa Mangliawan, Kecamatan Pakis, Kabupaten Malang, memiliki potensi besar dalam pengembangan masyarakat dan lingkungan. Namun, desa ini menghadapi tantangan dalam pengelolaan sampah akibat rendahnya partisipasi masyarakat dalam memilah sampah serta keterbatasan fasilitas tempat sampah. Observasi menunjukkan bahwa banyak sampah yang dibuang sembarangan, menimbulkan bau tidak sedap dan berpotensi mencemari lingkungan. Untuk mengatasi permasalahan tersebut, tempat pemilah sampah perlu dibuat untuk membantu masyarakat dalam memilah dan mengelola sampah dengan lebih efektif. Selain penyediaan fasilitas fisik, juga dilakukan pelatihan dan demonstrasi pemilahan sampah untuk meningkatkan kesadaran masyarakat akan pentingnya pengelolaan sampah yang baik. Hasil implementasi menunjukkan bahwa adanya tempat pemilahan sampah mendorong masyarakat untuk lebih sadar dalam memilah sampah sejak dari sumbernya. Hal ini berdampak pada pengurangan jumlah sampah yang masuk ke tempat pembuangan akhir, serta meningkatkan potensi daur ulang dan pemanfaatan sampah sebagai sumber ekonomi. Dengan demikian, program ini tidak hanya berkontribusi dalam menciptakan lingkungan yang lebih bersih dan sehat, tetapi juga membangun kesadaran kolektif terhadap pentingnya pengelolaan sampah yang berkelanjutan.
Evaluasi Pembelajaran Mata Kuliah Menejemen Usaha Busana Modiste Sintawati, Esin; Nurdiansyah, Rudi; Purwaningsih, Nur Endah
Home Economics Journal Vol. 1 No. 1 (2017): May
Publisher : Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (82.711 KB) | DOI: 10.21831/hej.v1i1.23279

Abstract

Menejemen Usaha Busana (MUB) Modiste merupakan mata kuliah yang diselenggarakan Program Studi Tata Busana D3 maupun S1.Tujuan penelitian  untuk   (1) mengetahui pelaksanaan model pembelajaran pada MUB Modiste berkaitan dengan komponen konteks, (2) mengetahui  efektivitas  model pembelajaran Teaching Factory- enam Model pada tahap input yang berhubungan dengan teknis pengelolaan, administrasi, alokasi waktu serta sarana dan prasarana. Penelitian ini merupakan penelitian evaluasi yang bertujuan untuk mengetahui tingkatketerlaksanaan suatu kebijakan secaracermat dengan cara mengetahui efektivitasmasing-masing komponen yang dievaluasidengan pendekatan model CIPP (Context, Input, Process, Product). Hasil penelitian menunjukkan bahwa (1) pembelajaran MUB Modiste terlaksana karena telah memiliki landasan yuridis berupa kurikulum, sesuai dengan visi misi program studi, (2) pembelajaran MUB Modiste didukung oleh aspek teknis pelaksanaan yang rinci dan konsisten, alokasi waktu pelaksanaan yang memadai untuk pelaksanaan pembelajaran usaha, administrasi yang standar sesuai yang berlaku serta sarana prasarana yang memadai, (3) aspek proses pelaksanaan pembelajaran MUB Modiste telah didukung oleh kompetensi dosen yang sesuai dan memadai, serta dalam prosesnya memiliki model yang sesuai dengan standar dan tujuan pembelajaran.
Analisis Kelayakan Kapasitas Produksi Pressure Vessel Menggunakan Metode RCCP dengan Pendekatan BOLA Kuswardani, Chintia Dwi Wangsa; Wika, Benedikta Fini Alfionita; Nurdiansyah, Rudi
JATI UNIK : Jurnal Ilmiah Teknik dan Manajemen Industri Vol. 9 No. 1 (2025): October
Publisher : Industrial Engineering, Engineering of Faculty, Universitas Kadiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30737/jatiunik.v9i1.6948

Abstract

Penelitian ini menganalisis perencanaan kapasitas pada proses produksi Pressure Vessel di PT. Boma Bisma Indra (BBI) yang sering mengalami keterlambatan pengiriman meski karyawan bekerja lembur. Permasalahan utama berasal dari sistem perencanaan produksi berbasis make to order tanpa peramalan permintaan jangka panjang dan tanpa evaluasi kesesuaian kapasitas. Metode Rough-Cut Capacity Planning (RCCP) dengan Bill of Labor Approach (BOLA) digunakan untuk menilai ketersediaan kapasitas terhadap Master Production Schedule (MPS). Hasil penelitian menunjukkan mayoritas kelayakan kapasitas yaitu Load Capacity (LC) bernilai negatif, menandakan kapasitas tersedia tidak mampu memenuhi permintaan. Kondisi ini berimplikasi pada tingginya beban kerja, biaya produksi, serta keterlambatan pengiriman. Oleh karena itu, diperlukan perencanaan jangka panjang oleh Perusahaan yang mempertimbangkan tren permintaan, ketersediaan bahan baku, efisiensi produksi, serta evaluasi berkala guna mengoptimalkan kapasitas dan meningkatkan ketepatan pengiriman. Perhitungan RCCP dengan pendekatan BOLA di PT. BBI secara langsung mengidentifikasi kesenjangan antara kapasitas total yang dibutuhkan dan kapasitas yang tersedia, sehingga analisis dapat dilakukan secara agregat tanpa perlu memecah per stasiun kerja.
Empowering MSMEs through Visual and Digital Transformation: Strengthening Branding and Technology-Based Market Access Sholikha, Nikmatus; Nurdiansyah, Rudi; Alhafidh, Muhammad Nursyamsu; Hamas, Ryan Wajdy; Alfarisyi, Ri’syad Salman; Toyyibah, Corin Saila Rizqi
Jurnal Pengabdian Masyarakat Bhinneka Vol. 4 No. 2 (2025): Bulan November
Publisher : Bhinneka Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58266/jpmb.v4i2.651

Abstract

Digital transformation has become a key foundation for the development of micro, small, and medium enterprises (MSMEs) in Indonesia, expanding market access and improving business efficiency. However, many MSMEs—especially those in the micro-scale batik handicraft sector—still face obstacles in digital adaptation, such as low technological literacy, limited infrastructure, and a lack of relevant branding strategies. This community service activity aims to empower MSMEs through visual and digital transformation to strengthen their brand image (branding) and expand technology-based market access. The approach used includes digital literacy training, visual rebranding assistance, website-based company profile creation, and marketing optimization through marketplaces and social media. Furthermore, artificial intelligence (AI) technology was applied to efficiently create visual promotional content. The activity results showed an increase in participants' abilities in visual identity management, brand narrative development, and digital platform utilization. Partner MSMEs experienced increased market reach and brand professionalism, and were able to integrate digital marketing processes with promotional cost efficiencies of up to 40%. This activity demonstrates that visual and digital transformation plays a significant role in strengthening the sustainability and competitiveness of local MSMEs in the technology-driven economy.
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.
Quality Control and Efficiency of Pants Production Process Using Six Sigma DMAIC and Triz at PT Magnum Attack Indonesia Devi, Ni Putu Sania Sita; Nurdiansyah, Rudi
Eduvest - Journal of Universal Studies Vol. 5 No. 10 (2025): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v5i10.52246

Abstract

Manufacturing competition demands improved quality and efficiency with the lowest possible defects. This study optimizes the pants production process at PT Magnum Attack Indonesia through the integration of Six Sigma DMAIC and TRIZ. Secondary data for July–December 2024 were analyzed to map CTQ, calculate DPMO and sigma levels, and identify root causes using Pareto and fishbone; Improvement recommendations are formulated through the TRIZ contradiction matrix and inventive principles. The results showed a total production of 6,951 units with 430 defects (DPU 0.06186; Final Yield 93.82%; total DPMO 127,024; average sigma 4.45). The dominant defects were suture (43.95%) and precision (31.86%) which accounted for 75.81% of the total defects. Key solutions: layout/ergonomics and visual aids (principle 17), enforcement of inspection SOPs (principle 10), local quality in critical embroidery areas (principle 3), and digitization of CAD-based techpacks (principle 28). This approach suppresses defects without sacrificing productivity and provides a basis for continuous improvement for increased competitiveness.
Developing Strategies for Improving The Performance of Educational Institutions Using The European Excellence Model: Pengembangan Strategi Peningkatan Kinerja Institusi Pendidikan Menggunakan European Excellence Model Nurdiansyah, Rudi; Aufa, Muhammad Izzul; Sholikha, Nikmatus; Kuswardani, Chintia Dwi Wangsa; Widowati, Tamara Rahma
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
Optimization of XGBoost Hyperparameters using Three Dimensional Learning AVOA for Retail Demand Prediction Noor Ibrahim , Alza; Nada, Dhea Qurrotun; Nurdiansyah, Rudi; Andoko, Andoko
Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Vol. 28 No. 1 (2026): June 2026
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.9744/jti.28.1.%p

Abstract

Accurate demand forecasting is critical for retail supply chains, particularly in the Fast-Moving Consumer Goods (FMCG) sector, where even small discrepancies between predicted and actual demand can lead to excess inventory or stock shortages. This study proposes a hybrid TDLAVOA–XGBoost model that adaptively optimizes key hyperparameters to improve forecasting accuracy and stability. The analysis is conducted using 990 FMCG inventory records from a publicly available dataset to examine the impact of metaheuristic-based optimization on model performance. The TDLAVOA algorithm identifies an effective hyperparameter configuration (max_depth = 3, learning_rate = 0.01, n_estimators = 100, gamma = 1.97, subsample = 0.57, and colsample_bytree = 0.66), enabling the proposed model to achieve an RMSE of 22.53 ± 0.50 and an MAE of 19.32 ± 0.33. Compared with the default XGBoost baseline, this represents a substantial reduction in prediction error and variability. Comparative results show that TDLAVOA–XGBoost achieves performance comparable to SARIMAX and demonstrates superior accuracy relative to deep learning models, including LSTM and MLP, for limited-sample tabular FMCG demand data. Statistical validation using one-way ANOVA and Tukey’s HSD confirms that the performance differences among models are statistically significant (p < 0.0001). Overall, the findings indicate that TDLAVOA–XGBoost provides a practical and reliable approach for supporting data-driven inventory planning in retail environments.
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

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.
Co-Authors Abdul Muid Aisyah Larasati Alfarisi, Zaky Salman Alfarisyi, Ri’syad Salman Alhafidh, Muhammad Nursyamsu Andoko Andoko, Andoko Apriliana Sari W., Indah Aufa, Muhammad Izzul Azzahra, Prestika Dilla Boy Isma P. Budi Santosa Budi Santosa Budi Santosa Devi, Ni Putu Sania Sita Dwiastuti, Anik Eridani Budi Darmawan, Vertic Erwin Komara Mindarta Esin Sintawati Fini Alfionita Umar Fuad Indra Kusuma Hamas, Ryan Wajdy Hanif, Benzfica Haque, Salma Ayu Indah Apriliana Sari Isma P., Boy Izzul, Muhammad Kareem, Nafi Karika, Sri Kevin Benedicta Kuswardani, Chintia Dwi Wangsa Le, Trung Mubarok, Zamruda Sariangi Sauqi Muhammad Mukhsin J. Nada, Dhea Qurrotun Nikmatus Sholikha, Nikmatus Noor Ibrahim , Alza Nur Endah Purwaningsih Permana, Yafi Elian Sandi Surya Wijaya Stefanus Eko Wiratno Stefanus Eko Wiratno, Stefanus Tamara Rahma Widowati Toyyibah, Corin Saila Rizqi Tutuko, Putri Kinanti Ayu Hapsari Widayat, Vereline Abigael Widowati, Tamara Rahma Yudistira, Febrina Dzuldah Yuniashafa, Risma Salaza