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Showing 4 results for Maflahah
Design of Environmental Impact Mitigation Strategy In The Furniture Industry Using Life Cycle Assessment
Weny Findiastuti, Fitri Agustina, Rullie Annisa, Ach Dafid, Iffan Maflahah, Ananda Rafli Siswanto,
Volume 0, Issue 0 (IJIEPR 2024)
Abstract
Indonesia faces environmental challenges due to the increasing exploitation of natural resources and industrial emissions. This study aims to design an environmental impact mitigation strategy in the furniture industry using the Life Cycle Assessment (LCA) method, with a case study of UD Putra Bali. The analysis includes the Life Cycle Inventory (LCI), Life Cycle Impact Assessment (LCIA), and Life Cycle Interpretation to identify the greatest impacts and develop recommendations for improvement. The results of the study indicate that the life cycle of wooden door products produces an environmental impact of 13.1 kPt. The stage with the greatest impact is the finishing process, especially in the human toxicity water category of 11.3 kPt, due to thinner-based paint. In addition, the delivery of finished products contributes to the global warming category of 0.0539 kPt, which is caused by the use of vehicles with high emission specifications and inefficient delivery routes. Recommendations for improvement include the implementation of cleaner production, namely replacing thinner-based paint with more environmentally friendly water-based paint and optimizing delivery routes using the saving matrix nearest insert method to reduce the total distance traveled and transportation emissions. After the implementation of the mitigation strategy, the environmental impact of the finishing process decreased to 10.3 kPt, while the impact of the finished product delivery decreased to 0.0526 kPt. This study shows that the application of LCA can identify the main sources of environmental impacts and generate data-based improvement strategies. The implementation of this strategy is expected to enhance the sustainability of the furniture industry and reduce the production process's environmental footprint.

Revenue Farmers Assessment using System Dynamics Approach: Seablite (Suaeda Maritima) Salt Production Case Study
Iffan Maflahah, Wila Wirvikananda, Hamzah Fansuri, Dian Farida Asfan, Raden Faridz,
Volume 35, Issue 3 (IJIEPR 2024)
Abstract
Seablite salt (Suaeda maritima) was a unique product currently under development. Seablite is a low-sodium salt essential for modern society, particularly for those who prioritize their health. This investigation aims to employ a dynamic system approach to evaluate the revenue and profit generated by the salt production system. The dynamic systems approach steps: the construction of the causal loop diagram, the development of the stock-and-flow model, the parameterization of the model, the simulation to analyze the system's behavior under various conditions, the verification and validation, the development of policy recommendations, and the conclusion with a summary of the core findings. The model was developed using four submodels: (1) demand, (2) supply, (3) production cost, and (4) revenue. The moderate scenario demonstrates that the salt flow requirements can be satisfied by utilizing the dynamic system to protect the revenue and production costs. It was consistent with the escalating production expenses. According to the optimistic scenario, the salt demand can be satisfied until 2026. The company's revenue is insufficient to cover production costs due to the rise in raw material prices. Farmers begin to reap the rewards in this scenario. It's because the overall revenue exceeds the production costs.

Agglomeration Agricultural Zone Analysis Based on the Hybrid Hierarchical Clustering Approach in Madura, Indonesia
Iffan Maflahah, Dian Farida Asfan, Selamet Joko Utomo, Fathor As, Raden Arief Firmansyah,
Volume 35, Issue 4 (IJIEPR 2024)
Abstract
Madura Island, comprising four regencies, exhibits a diverse array of agricultural resource potential, particularly in paddy, maize, cassava, and soybeans. Althought the Gross Regional Domestic Product assesses economic progress. it inadequately reflects the whole spectrum of potential within each region. A comprehensive observation of this diversity is required to facilitate a more focused development approach. This study aims to employ a hybrid hierarchical clustering method to delineate and classify the geographical regions of Madura Island according to their agricultural potential. K-means clustering, that part of hybrid hierarchical clustering approach was used to achieve aims of research. Number of farmers, land area, and commodities production were variable that used to classify regional based on its potentials. First, hierarchical method was performed to determine the appropriate number of clusters then K-means clustering was applied to classify the regions based on agricultural commodities. The results show effectively determined Madura Island's agricultural potential using the hybrid hierarchical clustering method, which categorizes locations based on characteristics of agricultural production. The research reveals six clusters, each characterized by a unique profile of primary commodity production, including paddy, corn, soybeans, and cassava. Implication of this result is offering insights into regional development of Madura based on agricultural potential.

Risk Evaluation in Corn Supply Chain with FMEA Approach: Challenges and Opportunities for Supply Efficiency
Muh Syarif, Ismie Roha Mohamed Jais, Iffan Maflahah, Ihsannudin Ihsannudin,
Volume 36, Issue 1 (IJIEPR 2025)
Abstract
The research focuses on improving the performance of the corn supply chain in Madura Island, Indonesia. The purpose of the study is to identify, evaluate, and prioritize risks that have the potential to disrupt the smooth operation of the corn supply chain. The research method uses Failure Mode and Effects Analysis (FMEA) to identify risk levels and Root Cause Analysis (RCA) approach for mitigation strategies. Risk level assessment is based on severity, probability, and detectability at the level of farmers, middlemen, processing industries, and distributors. Based on the analysis, it shows that the risks are a priority in handling and prevention as well as proposals that can be made to improve the root cause of the occurrence of risks with the highest category based on the RPN value at the farmer level are the occurrence of pest and disease attacks (648), the middleman level is when the amount of corn is abundant (336), the processing industry level is the price of corn is unpredictable (252), and the level of distributors is a limitation in product promotion (324). To improve the efficiency and quality of the corn supply chain, namely increasing storage capacity, using more efficient processing technology, flexible production planning, and more innovative marketing strategies. The managerial implications of corn-supply chain risk assessment are the need to improve product quality, corn supply stability, price management, and strengthen partnerships and mutual benefits between all parties in the supply chain. Every element of the supply chain needs to encourage the adoption of modern technologies in maize cultivation, processing, and distribution to increase productivity and reduce risks associated with manual processes. It is necessary to establish mitigation strategies to address environmental risks, including the implementation of sustainable agricultural practices and early warning systems.

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