Article Per Year (5 Year)
p-Index From 2021 - 2026
1.332
P-Index
This Author published in this journals
All Journal Jurnal Teknik Industri Terintegrasi (JUTIN) Journal of Advanced in Information and Industrial Technology (JAIIT) Airlangga Journal of Innovation Management Jurnal Inkofar Jurnal Riset Teknik Industri NUSANTARA: Jurnal Pengabdian Kepada Masyarakat Jurnal Riset Rumpun Ilmu Teknik (JURRITEK) Sainteks: Jurnal Sain dan Teknik
Hamidah, Siti Nur
Unknown Affiliation
Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Mechanical Engineering Medicine & Pharmacology Public Health Social Sciences Transportation

Published : 8 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 8 Documents
Search

 1 
Pengendalian Kualitas Produk Cacat Produksi E-Clips Menggunakan Metode Six Sigma Siti Nur Hamidah; Aprilia, Hafiza
Jurnal Riset Teknik Industri Volume 4, No. 2, Desember 2024, Jurnal Riset Teknik Industri (JRTI)
Publisher : UPT Publikasi Ilmiah Unisba

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29313/jrti.v4i2.5439

Abstract

Abstrak. PT. XYZ adalah perusahaan manufaktur milik negara di Indonesia yang memproduksi produk militer dan non-militer. Penelitian ini menggunakan metode Six Sigma dengan tahapan DMAIC (Define, Measure, Analyze, Improve, Control) untuk mengidentifikasi masalah melalui Critical to Quality (CTQ) dan mengukur kinerja menggunakan DPU, DPO, DPMO, serta nilai sigma. Hasil analisis menunjukkan nilai DPMO sebesar 2091,46 dengan rata-rata sigma 5,24. Penyebab utama cacat diidentifikasi menggunakan diagram Pareto, p-chart, dan fishbone, yang mengungkap kontribusi signifikan dari aspek manusia, mesin, material, dan lingkungan. Usulan perbaikan meliputi pelatihan karyawan untuk meningkatkan pemahaman terhadap SOP, penjadwalan perawatan mesin secara preventif dan prediktif, penggantian atau kerja sama dengan vendor baru untuk bahan baku, serta perbaikan lingkungan kerja dengan pendingin sentrifugal dan alat pelindung telinga. Implementasi usulan ini diharapkan dapat mengurangi tingkat cacat, meningkatkan kualitas produk, dan meningkatkan efisiensi produksi E-Clips pada Divisi TC-AP PT. XYZ secara berkelanjutan. Abstract. PT. XYZ is a state-owned manufacturing company in Indonesia that produces both military and non-military products. This study employs the Six Sigma methodology using the DMAIC stages (Define, Measure, Analyze, Improve, Control) to identify issues through Critical to Quality (CTQ) and assess performance using DPU, DPO, DPMO, and sigma levels. The analysis revealed a DPMO value of 2091.46 with an average sigma level of 5.24. The primary causes of defects were identified using Pareto diagrams, p-charts, and fishbone diagrams, highlighting significant contributions from human, machine, material, and environmental factors. The proposed improvements include employee training to enhance understanding of SOPs, scheduled preventive and predictive maintenance for machinery, replacement of or collaboration with new vendors for raw materials, and workplace enhancements with centrifugal cooling systems and ear protection equipment. The implementation of these recommendations is expected to reduce defect rates, improve product quality, and enhance the efficiency of E-Clips production in the TC-AP Division of PT. XYZ sustainably.
Pendekatan sistem untuk memahami jalur emisi carbon dan manfaat ekonomi pada rantai pasokan di umkm tempeh jawa barat Abdullah, Fadil; Aprilia, Hafizah; Hamidah, Siti Nur
Airlangga Journal of Innovation Management Vol. 6 No. 2 (2025): Airlangga Journal of Innovation Management
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/ajim.v6i2.72663

Abstract

This study aims to identify and map the tempeh industry's supply chain to understand the economic pathway and carbon emissions. The research method uses a system-based approach with the output of a causal loop diagram that explores the dynamic relationship between variables in the small and medium scale tempeh industry supply chain. The results showed that the potential of the small and medium-scale tempeh industry in West Java is very high, especially in contributing to the economic value of the surrounding community. However, this potential has challenges regarding raw material procurement, where dependence on imported soybean raw material supplies makes the economic value for MSEs or the surrounding community not too large. This is due to the efficiency in the procurement of local soybeans and the inadequate stock of local soybean resilience to meet the needs of tempeh production in West Java’s supply chain. The findings also show that the longer the supply chain, the smaller the profitability and create more environmental impacts related to the carbon emissions generated. This study recommends a policy meeting to cut and streamline, and prioritize local soybeans and increase local soybean resilience stocks to better benefit tempeh SMEs in gaining profitability and minimizing the impact of carbon footprint risks, so that business and industrial activities are more sustainable.
Peran Quality Engineering dalam Optimasi Proses Produksi : (Studi Literatur pada Industri Manufaktur Kontemporer) Siti Nur Hamidah; Moh. Ayip Fathani; Zulfadlillah Zulfadlillah; Kardita Kardita
JURNAL RISET RUMPUN ILMU TEKNIK Vol. 3 No. 1 (2024): April : Jurnal Riset Rumpun Ilmu Teknik
Publisher : Pusat riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jurritek.v3i1.4775

Abstract

This systematic literature review examines the evolving role of Quality Engineering (QE) in optimizing production processes within Industry 4.0 contexts. By analyzing 78 peer-reviewed studies (2010–2025), the research identifies critical shifts in QE methodologies, emphasizing integration with artificial intelligence (AI), machine learning (ML), and real-time digital twin technologies. Key findings reveal enhanced robustness through adaptive optimization algorithms (e.g., Bayesian optimization, NSGA-II), improved defect prediction via AI-driven quality control systems, and streamlined process interoperability through Manufacturing Execution Systems (MES) and Quality 4.0 frameworks. The study underscores digital integration as a catalyst for reducing variability, accelerating decision-making, and aligning quality management with Industry 4.0’s demands for agility and interconnected systems. Recommendations include adopting hybrid methodologies combining classical Six Sigma with ML-driven analytics and investing in workforce training for digital QMS adoption.
ANALISIS PENGGUNAAN LEARNING MANAGEMENT SYSTEM (LMS) MENGGUNAKAN DELONE & MCLEAN DALAM MENINGKATKAN KUALITAS PEMBELAJARAN DI FAKULTAS TEKNIK UNIVERSITAS SEHATI INDONESIA Hamidah, Siti Nur; Anggara, Ikbal
Jurnal Inkofar Vol 9, No 1 (2025)
Publisher : Politeknik META Industri Cikarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46846/jurnalinkofar.v9i1.441

Abstract

Learning Management System (LMS) is a learning method based on E-learning. The purpose of this study is to analyze the relationship between several factors that support the utilization, impact, and development of LMS usage. Data collection using sampling techniques on students of the Faculty of Engineering, Sehati Indonesia University. The method used in this study used a quantitative study with the Delone & McLean model consisting of 6 variables that are compared, namely system quality, information quality, service quality, use, user satisfaction and net benefit. Research analysis using SEM-PLS. The results of the study indicate that there is a strong and positive relationship between the System Quality (SQ) and Service Quality (SeQ) variables that have a positive effect on customer satisfaction or User Satisfaction (SAT), but also in the use of this LMS has several challenges with the low influence of system use on satisfaction and benefits, indicating the need for efforts to improve literacy and digital skills among students and lecturers. The implications of this study suggest the need for technical support and more optimal and intensive training
Minimizing the Shipping Costs for Soes Cakes by Sari Asih SME Using the Transportation Method Aprilia, Hafiza; Dewi, Sarastya; Hamidah, Siti Nur
Sainteks: Jurnal Sain dan Teknik Vol 7 No 02 (2025): September
Publisher : Universitas Insan Cendekia Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37577/sainteks.v7i02.896

Abstract

The increasing demand for jobs in Indonesia, coupled with limited employment opportunities, has encouraged many to establish Small and Medium Enterprises (SMEs). Effective management is vital, especially for businesses with multiple branches, to ensure efficient product distribution and cost minimization. This study focuses on Sari Asih SME, a soes cake producer with several production facilities that supply various marketing locations. Using the Transportation Method from operational research, the study found that the optimal shipping cost is IDR 48,750, demonstrating a feasible and efficient solution.
Penerapan Metode Quality Engineering dalam Peningkatan Kualitas Produk UMKM melalui Pengabdian Masyarakat Siti Nur Hamidah
Nusantara: Jurnal Pengabdian kepada Masyarakat Vol. 4 No. 3 (2024): Agustus : Jurnal Pengabdian Kepada Masyarakat
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/nusantara.v4i3.4780

Abstract

This study examines the application of Quality Engineering methods to Micro, Small, and Medium Enterprises (MSMEs) through a community service program. Using a qualitative approach based on literature studies conducted via a webinar at Universitas Sehati Indonesia (USINDO), the research explores how systematic quality improvement strategies can be introduced and adapted for MSMEs to enhance product quality and competitiveness, this study analyzed scientific publications, community service reports, and quality improvement program documentation from 2019-2024. The findings demonstrate that Quality Engineering principles-including Quality Function Deployment (QFD), Seven Basic Tools of Quality, and Statistical Process Control (SPC)-significantly enhance product quality when adapted to SMEs' specific contexts. Case studies reveal improvements ranging from 29.5% to 97.92% across various aspects including customer satisfaction, food safety, and production efficiency. The research identifies key challenges in implementation, including technical knowledge limitations, resource constraints, and difficulties in maintaining long-term changes. The successful integration of Quality Engineering methods depends on active participation from SME stakeholders, approaches tailored to local contexts, and continuous post-program mentoring. This study contributes to developing an integrative framework that combines Quality Engineering principles with practical SME needs, supporting sustainable quality culture development in the SME sector.
Perancangan model bisnis dengan triple layered business model canvas untuk pengembangan UMKM Kecap Segi Tiga Majalengka Hamidah, Siti Nur; Suhendra, Agus Achmad; Martini, Sri
Jurnal Teknik Industri Terintegrasi (JUTIN) Vol. 7 No. 4 (2024): October
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jutin.v7i4.33399

Abstract

This study aims to design a business model that supports the development strategy of the soy sauce business in UMKM Kecap Segi Tiga Majalengka, using the Triple Layered Business Model Canvas (TLBMC) approach. This research identifies the company's strategic position through SWOT analysis and determines strategy priorities using the Analytical Hierarchy Process (AHP) method. The samples used include owners, managers, production staff, marketing, customers, and representatives of the industrial office. The results of the SWOT analysis show that the Kecap Segi Tiga MSME is in a grow and develop position (quadrant I), which requires a growth strategy. The highest weight in the AHP analysis for the economic layer was found in revenue streams and cost structure (score 0.33297), the environmental layer in functional value and materials (score 0.1890), and the social layer in employee aspects (score 0.2830). This proposed business model is reorganized in the form of TLBMC to support the development of MSMEs.
Prototype Development of a Real-Time Monitoring System Based on Android and Cloud Database for Textile Non-Thermal Plasma Treatment Fadil Abdullah; Putra, Valentinus Galih Vidia; Hamidah, Siti Nur; Hafizah Aprilia
Journal of Advances in Information and Industrial Technology Vol. 7 No. 2 (2025): Nov
Publisher : LPPM Telkom University Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52435/jaiit.v7i2.686

Abstract

The textile modification process using plasma treatment requires accurate monitoring of gas species generated during operation; however, no system is currently available to measure these gas concentrations in real time. To address this gap, this study develops a plasma gas monitoring system for textile material modification, using experimental data obtained from laboratory tests conducted in 2024. The research employs a practical prototyping approach consisting of four stages: requirement identification, system design, prototype construction, and performance validation. The system is designed to continuously record plasma-generated gas concentrations and store the data in an internet-based database. The prototype consists of two main components: (1) a sensing unit built on an Arduino Uno microcontroller integrated with DHT-11 and MQ-131 sensors for measuring temperature, humidity, and ozone concentration, and (2) a data management platform using Google Spreadsheet connected to a mobile application to enable real-time monitoring and control. Evaluation results show that the monitoring tool achieved a Mean Absolute Error (MAE) of 0.6625 ppm, indicating that the system provides reasonably accurate measurements for initial validation. As this assessment is preliminary, future studies should employ a larger dataset to increase statistical robustness and further verify system performance. Overall, the findings contribute to the development of an accessible, Android-based plasma treatment monitoring system capable of supporting real-time monitoring in textile material modification applications.   
Co-Authors Agus Achmad Suhendra Anggara, Ikbal Aprilia, Hafiza Dewi, Sarastya Fadil Abdullah Fadil Abdullah Kardita Kardita Moh. Ayip Fathani Putra, Valentinus Galih Vidia Sri Martini Zulfadlillah Zulfadlillah