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All Journal Indonesian Journal of Innovation Studies PELS (Procedia of Engineering and Life Science)
Hana Catur Wahyuni
Program Studi Teknik Industri, Fakultas Sains dan Teknologi, Universitas Muhammadiyah Sidoarjo
Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering Law, Crime, Criminology & Criminal Justice

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Analysis of Halal Supply Chain Management Implementation in the Food Industry: Analisis Implementasi Halal Supply Chain Management Pada Industri Pengelolaan Makanan Anis Ibnal Firasil Adam; Hana Catur Wahyuni
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.v25i4.2394

Abstract

General Background Halal supply chain management is an important framework for ensuring product integrity in food service businesses. Specific Background In the restaurant sector, maintaining strict halal compliance throughout raw material sourcing, production, serving, and distribution processes poses operational challenges for small-scale culinary operations. Knowledge Gap Empirical investigations detailing step-by-step operational workflows of halal supply chain practices in local restaurant environments remain limited. Aims This study investigates how a Indonesian food restaurant implements halal supply chain practices across production preparation, cooking, and product distribution. Results Qualitative evaluation reveals that operational practices prioritize cleanliness, raw material hygiene, and strict avoidance of non-halal cross-contamination at every processing stage, establishing consumer assurance despite the absence of official certification standards. Novelty The research details practical operational mappings of halal supply chain stages specifically adapted to local restaurant operations. Implications Establishing structured hygiene and supply chain control mechanisms offers an operational model for culinary businesses seeking to maintain product integrity and customer satisfaction. Key Findings Highlights Halal supply chain integration across production, cooking, distribution, and consumption guarantees operational cleanliness and customer reassurance. Strict hygiene routines and cross-contamination prevention maintain product integrity across all food handling stages. Consumer trust remains high due to transparent food preparation and consistent adherence to Islamic dietary rules despite lacking official certification. Keywords Halal Industry, Food Products, Supply Chain, Restaurant Management, Quality Control
Analysis of the Sugar Production Process at PT. PG Candi Baru uses the Method Statistical Quality Control: Analisis Proses Produksi Gula di PT. PG Candi Baru menggunakan Metode Statistical Quality Control Achmad Irfan Adi Surya; Hana Catur Wahyuni
Indonesian Journal of Innovation Studies Vol. 26 No. 1 (2025): January
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/ijins.v26i1.2407

Abstract

General Background Industrial sugar manufacturing requires strict quality control across multi-stage production processes to maintain product standards and reduce waste. Specific Background PT PG Candi Baru produces white crystal sugar under standardized raw material criteria but experiences persistent product defects in its finishing operations. Knowledge Gap Detailed empirical statistical analysis connecting process-level variations to specific sugar physical defect categories remains limited in local processing plants. Aims This study evaluates process stability and identifies root causes of product defects at PT PG Candi Baru using Statistical Quality Control tools. Results Pareto analysis reveals that oversized granules ("krikilan" at 11.8%) and undersized dust particles ("debuan" at 10.3%) represent the primary quality failures, with P-chart analysis confirming process instability exceeding upper control limits. Novelty The research maps explicit causal relations between machine vacuum pressure drops, operator inconsistencies, and grain size distribution in sugar manufacturing. Implications Establishing targeted standard operating procedures and preventive machine maintenance schedules will stabilize production quality and reduce defect rates. Key Findings Highlights Oversized sugar granules ("krikilan") and fine dust ("debuan") constitute 22.1% of total production defects. Statistical P-chart analysis demonstrates that defect proportions consistently exceed established upper control limits. Fishbone analysis links quality failures primarily to low evaporator vacuum pressure and unstandardized operator practices. Keywords Statistical Quality Control, Sugar Production, Defect Analysis, Pareto Diagram, Quality Management
Analysis of the Electricity Distribution Network Asset Data Management Process at PLN UP3 Sidoarjo Using Bottleneck and PIECES Methods: Analisis Proses Pengelolaan Data Aset Jaringan Distribusi Listrik Di PLN UP3 Sidoarjo Dengan Metode Bottleneck dan PIECES Riyadhus Ilhamsyahjati; Hana Catur Wahyuni
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.v10i1.3139

Abstract

General Background Electrical networks distribute energy directly to end-users, requiring meticulous equipment maintenance and reliable information systems to secure continuous operational capability. Specific Background Maintenance strategies depend on precise spatial and operational characteristics, yet technicians frequently must extract this data from disjointed digital infrastructures. Knowledge Gap While independent platforms store critical asset information, the procedural bottlenecks and inefficiencies caused by constantly switching between these fragmented systems during daily operations remain systematically unquantified. Aims This study investigates an asset data management workflow, aiming to identify operational bottlenecks and evaluate system deficiencies across six performance dimensions. Results Observational data demonstrated that a single data management sequence requires 24 minutes to complete. Bottleneck analysis identified that manually recording findings into spreadsheets and repeatedly searching for specific asset data across multiple platforms consumed the most time, requiring five minutes each. Furthermore, evaluating the system using the PIECES framework highlighted significant inefficiencies, specifically concerning repeated data entry, redundant verification procedures, and the lack of a centralized information hub. Novelty This research directly correlates specific time-measured procedural delays with qualitative system deficiencies across multiple disjointed platforms in a public utility environment. Implications Deploying a centralized web interface that aggregates spatial, operational, and fundamental asset data eliminates redundant data entry, accelerates retrieval times, and streamlines maintenance planning. Highlights: Extracting comprehensive asset information requires navigating disjointed platforms, resulting in a 24-minute procedural workflow. Manually recording findings into spreadsheets and repeatedly searching multiple platforms consume the most time, requiring five minutes each. Aggregating spatial, operational, and fundamental data into a centralized interface eliminates redundant entry and accelerates maintenance planning. Keywords: Asset Data Management, Bottleneck Analysis, PIECES Framework, Electricity Distribution Network, System Integration
Co-Authors Achmad Irfan Adi Surya Anis Ibnal Firasil Adam Riyadhus Ilhamsyahjati