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All Journal Indonesian Journal of Innovation Studies PELS (Procedia of Engineering and Life Science) Proceedings of The ICECRS
Atikha Sidhi Cahyana
Program Studi Teknik Industri, Fakultas Sains dan Teknologi, Universitas Muhammadiyah Sidoarjo
Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics

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Dimensional Deviations Determine Canned Packaging Rejection Rates Using Failure Mode Analysis: Deviasi Dimensi Menentukan Tingkat Penolakan Kemasan Kaleng Menggunakan Analisis Mode Kegagalan Bima Aulia Cahya; Atikha Sidhi Cahyana
Proceedings of The ICECRS Vol. 12 No. 3 (2024)
Publisher : International Consortium of Education and Culture Research Studies

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/icecrs.v12i3.1965

Abstract

General Background The packaging industry requires rigorous quality control systems to satisfy stringent medical and consumer standards. Specific Background PT United Can recently reported a 2.16% rejection rate in rigid container production, exceeding the allowable tolerance limit. Knowledge Gap While general product evaluations exist, precise prioritization of specific operational errors in medical-grade aluminum and steel receptacles remains necessary to minimize production waste. Aims This study evaluates operational errors to isolate the highest defect contributors and formulate targeted corrective procedures. Results Pareto calculations and risk evaluations reveal that structural non-conformities constitute 54% of total rejections, earning the highest Risk Priority Number of 245. This critical error originates from imperfect machine rounding, preventing proper closure assembly, while rust and dents present significantly lower risks with scores of 90 and 30, respectively. Novelty This research isolates imperfect rounding mechanisms as the primary quantitative risk factor in rigid container manufacturing, providing a direct metric for targeted intervention. Implications Manufacturers must prioritize strict visual monitoring and precise machine calibration to minimize closure assembly errors and maintain industry competitiveness. Highlights: Imperfect machine rounding produces closure assembly errors and represents the highest operational risk. Visual monitoring protocols mitigate manufacturing errors and ensure consistent product standards. Rust and dents constitute minor production risks compared to structural inconsistencies. Keywords: Quality Control, Risk Priority Number, Rigid Containers, Defect Mitigation,Machine Calibration
The Effect Of Product Quality And Service Quality On Customer Satisfaction Of Smoked Tilapia In Penatarsewu Village Atikha Sidhi Cahyana; Marcellia Nur Fitri; Indah Apriliana Sari; Wiwik Sulistiyowati
Indonesian Journal of Innovation Studies Vol. 26 No. 4 (2025): October
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/ijins.v26i4.2379

Abstract

Product consistency remains a essential determinant in sustaining consumer trust within traditional food processing micro-enterprises. General Background Small and medium enterprises relying on traditional processing methods often encounter operational challenges regarding finished product uniformity. Specific Background Smoked tilapia production in Penatarsewu Village utilizes manual coconut-shell combustion, generating variations in product maturity, color, and hygiene that directly affect buyer perceptions. Knowledge Gap Empirical evaluations evaluating how product attributes and service delivery simultaneously direct customer satisfaction in localized smoked fish processing remain limited. Aims This investigation evaluates the direct effects of product quality and service quality on customer satisfaction among consumers of smoked tilapia in Penatarsewu Village. Results Multiple linear regression analysis of questionnaire data from 60 respondents established that product quality ($t = 3.835, p < 0.05$) and service quality ($t = 3.230, p < 0.05$) demonstrate positive, significant contributions to customer satisfaction, with a combined determination coefficient ($R^2$) of 0.794. Novelty This empirical framework provides quantified regression metrics specific to traditional smoked fisheries, identifying price conformance, product durability, and responsiveness as dominant drivers. Implications Processing actors can utilize these findings to modernize smoking technology, stabilize product attributes, and structure responsive delivery protocols to strengthen long-term customer retention. Key Findings Highlights Product quality significantly increases customer satisfaction with a partial regression coefficient of 0.630 ($t = 3.835$). Service quality demonstrates a positive significant effect on customer satisfaction with a coefficient of 0.330 ($t = 3.230$). Combined product and service quality variables account for 79.4% of the variance in customer satisfaction levels. Keywords : Product Quality, Service Quality, Linear Regression, Smoked Tilapia, Customer Satisfaction
Quality Control Analysis of Water Based Paint Products by Using the Six Sigma Method: Analisa Pengendalian Mutu Produk Cat Water Based dengan Menggunakan Metode Six Sigma Deny Achmad Rahendra; Atikha Sidhi Cahyana
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.v25i4.2393

Abstract

General Background Quality control serves as a crucial element in chemical manufacturing to minimize operational losses and maintain standard output specifications. Specific Background PT. XYZ, an industrial coating chemical manufacturer, experiences substantial defect occurrences in water-based paint production across January to June, reaching 675 kg out of 77,750 kg total production. Knowledge Gap Empirical evaluations integrating the Six Sigma framework specifically within mid-scale water-based paint formulation processes remain limited in regional industrial manufacturing settings. Aims This study identifies primary defect categories, evaluates defect-per-million-opportunities rates, and isolates root causes within water-based paint production. Results Statistical process evaluation using DMAIC reveals four defect types—settling, bad odor, weather damage, and adhesion failure—with settling dominating 56% of total defects, yielding an average Defect per Million Opportunities of 52,656.14 and a Sigma level of 2.5. Novelty The research establishes structured operational benchmarks combining fishbone analysis with quantitative DMAIC evaluation specific to water-based paint manufacturing workflows. Implications Standardizing operational procedures, upgrading cleaning maintenance, and optimizing raw material selection directly reduce manufacturing defects and elevate process efficiency. Key Findings Highlights Settling constitutes the primary defect type in water-based paint production, accounting for 56% of total defective output. Process evaluation establishes a Defect per Million Opportunities level of 52,656.14, corresponding to a 2.5 Sigma rating. Root cause breakdown attributes defects to operator oversights, procedure non-compliance, equipment residue, and raw material variations. Keywords Quality Control, Water Based, Six Sigma, Defect Analysis, Industrial Coating
The Importance of Quality Control in Answering Sugar Consumer Needs: Pentingnya Quality Control dalam Menjawab Kebutuhan Konsumen Gula Atikha Sidhi Cahyana; Ahmad Ramadhani
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.v25i4.2395

Abstract

General Background Quality control is an essential operational framework in manufacturing industries to maintain product standardization and ensure customer satisfaction. Specific Background In sugar processing plants such as PG XYZ, operational challenges persist regarding defective output including porous sugar, lump sugar (krikilan), and oversized sugar (babonan). Knowledge Gap Quantitative evaluations identifying specific root causes of defects and actionable quality control recommendations in sugar production environments remain under-examined. Aims This study analyzes sugar quality control processes at PG XYZ using Seven Tools to identify primary defect causes and provide optimization solutions. Results The analysis reveals total production defect items totaling 1,090 kg, dominated by porous sugar at 53% and improper sugar sizes at 47%, caused mainly by worker oversight, excessive dust, improper pipe cleaning schedules, and equipment issues. Novelty This work maps structured cause-and-effect relationships specifically customized for sugar manufacturing stations using Seven Tools integration. Implications Implementing systematic machine maintenance, worker training, and strict operational adherence provides a clear quality control roadmap for sugar producers. Key Findings Highlights Quality evaluation identified porous sugar (53%) and non-standard crystal sizing (47%) as the dominant defect categories during production. Fishbone analysis traced quality deviations to human negligence, environmental dust, unmaintained equipment, and irregular cleaning schedules. Establishing scheduled pipe cleaning and equipment maintenance protocols maintains output consistency and improves overall customer satisfaction. Keywords Quality Control, Sugar, PG XYZ, Seven Tools, Defect Analysis
Production Water Inventory Control for Ready Mix Concrete to Minimize Production and Delivery Delays: Pengendalian Persediaan Air Produksi Berbasis Rantai Pasok pada Industri Beton Siap Pakai Riska Novia Febriyanti; Atikha Sidhi Cahyana
Procedia of Engineering and Life Science Vol. 10 No. 1 (2026): Proceedings of the 9th Seminar Nasional Sains 2026
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/pels.v10i1.3142

Abstract

General Background Ready-mix concrete manufacturing relies heavily on continuous material flows to fulfill construction project demands. Specific Background Water serves as the primary mixing medium for concrete products, requiring precise supply chain coordination to prevent operational stoppage. Knowledge Gap While inventory management models are frequently applied to general manufacturing raw materials, studies calculating optimal water procurement parameters specifically for concrete batching plants remain highly limited. Aims This study determines the optimal order quantity, safety stock, and reorder point for production water to prevent material shortages and distribution delays. Results Based on consumption data from May to July, the Economic Order Quantity method establishes an optimal purchase volume of 69,288 liters per order. Furthermore, statistical analysis of daily demand fluctuations dictates a necessary safety stock of 14,580.68 liters. Consequently, factoring in a one-day procurement lead time, the reorder point is precisely set at 27,916.19 liters. Novelty The research formulates a specific mathematical inventory framework, transitioning water procurement from estimation-based ordering to a data-driven replenishment strategy within the ready-mix concrete industry. Implications Adopting these calculated parameters minimizes stockout risks, secures continuous mixing operations, and ensures punctual concrete deliveries to customers. Highlights: Transitioning water procurement from estimation to calculated models resolves continuous stockout and distribution delay issues. The Economic Order Quantity calculation dictates an optimal purchasing volume of 69,288 liters per transaction. Establishing a 27,916.19-liter reorder point and a 14,580.68-liter safety stock secures production during one-day lead times. Keywords: Economic Order Quantity, Reorder Point, Safety Stock, Ready Mix Concrete, Inventory Control
Co-Authors Ahmad Ramadhani Bima Aulia Cahya Deny Achmad Rahendra Indah Apriliana Sari Marcellia Nur Fitri Riska Novia Febriyanti Wiwik Sulistiyowati