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All Journal Jurnal Teknologi Industri Pertanian Emerging Science Journal International Journal of Supply Chain Management Engineering, Mathematics and Computer Science Journal (EMACS) JURNAL ILMIAH GLOBAL EDUCATION Agroindustrial Journal JURNAL POLI-TEKNOLOGI Jurnal Indonesia Sosial Teknologi Innovative: Journal Of Social Science Research
Asrol, Muhammad
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Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Public Health Social Sciences Transportation Other

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Soft System Methodology Framework for Fair and Balanced of Risk and Value-Added Distribution in Sugarcane Agroindustry Supply Chains Asrol, Muhammad; a, Marimin; a, Machfud; Yani, Moh.
International Journal of Supply Chain Management Vol 7, No 6 (2018): International Journal of Supply Chain Management (IJSCM)
Publisher : International Journal of Supply Chain Management

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Abstract

Fair risk and value-added distribution within sugarcane agroindustry supply chain stakeholder is a complex and unstructured problem which had to be solved comprehensively. This research proposed a fair and balanced risk and value-added distribution model using Soft System Methodology (SSM) framework combined with negotiation system and Fuzzy Cognitive Maps (FCM) technique. SSM is a powerful approach to identify and solve a complex and unstructured problems then recommend effective solutions. Negotiation system was modelled to operate a fair and balanced risk and value-added distribution to achieve sugarcane supply chains goals. FCM was applied to validate the conceptual model and deliver system improvements. This research succeeded to describe and structure the sugarcane supply chains problems and deliver to conceptual and quantitative solution. Fair and balanced of risk and value-added distribution model with collaboration and negotiation mechanism hadbeenformulated at fourth stage of SSM. This research also proposed a negotiation system with quantitative intelligent model to operate the supply chains collaboration. Framework for system validation and recommendation hadbeenformulated through FCM at fifth and sixth stages of SSM. For further research, this framework required to be validated with more experienced expert then applied at real cases.
Supply Chain Performance Measurement and Improvement for Sugarcane Agro-industry Muhammad Asrol; Marimin Marimin; Machfud Machfud
International Journal of Supply Chain Management Vol 6, No 3 (2017): International Journal of Supply Chain Management (IJSCM)
Publisher : International Journal of Supply Chain Management

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (13.161 KB)

Abstract

The supply chain performance is an indicator of success company in conducting the business process. The measurement of supply chain performance is required to take control and recognize the companys performance position. The objectives of this research were to identify business process value-added within the supply chain, to measure the supply chain performance, and to formulate strategies for improving the supply chain performance. The value-added identification was conducted by Hayami method. The supply chain performance was measure by Supply Chain Operation Reference (SCOR) combine with fuzzy Analytic Hierarchy Process (AHP). Strategies for supply chain performance improvement were formulated through of SWOT analyses combine with fuzzy-AHP. The value-added analysis result showed that the sugarcane factory was the highest value added ratio in the supply chain. The supply chain performance measurement result showed that the sugarcane factory has poor performance while plantation was in very low performance. Evaluation of supply chains internal and external factors through SWOT indicated a strong condition and would deal with possibly great threats. Based on Fuzzy AHP, this study suggests research encouragement and development in the sugar production system in order to maintain qualities, yields and performance to improve supply chain performance eventually.
MODEL PROSES PRODUKSI KEMASAN BERBASIS OFFSET PRINTING Zulkarnain; Novi Purnama Sari; Dianta Mustofa Kamal; Muhammad Asrol
Jurnal Poli-Teknologi Vol. 22 No. 2 (2023)
Publisher : Politeknik Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32722/pt.v22i2.4578

Abstract

The need for packaging is currently increasing, providing opportunities for the development of the packaging printing industry, especially offset printing-based printing. This study aims to analyze the flow of the production process in the offset printing industry that produces packaging. This study uses a descriptive qualitative method to analyze the running of the production process which consists of pre-print, print, and post-print. The results showed that the results of the packaging printing production process at each stage were strongly influenced by the previous stage.
SCOR-Based Information Modeling for Managing Supply Chain Performance of Palm Oil Industry at Riau and Jambi Provinces, Indonesia Djatna, Taufik; Marimin, Marimin; Massijaya, Muh. Yusram; Asrol, Muhammad; Baidowi, Taufiq; Harison, Harison; Safriyana, Safriyana; Martini, Sri
International Journal of Supply Chain Management Vol 9, No 5 (2020): International Journal of Supply Chain Management (IJSCM)
Publisher : ExcelingTech

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59160/ijscm.v9i5.4043

Abstract

Abstract— The challenges for providing a concise performance reports along all components in Palm Oil agro-industry supply chain are urgent particularly in terms of managing each metrics of the stakeholders. This SCOR (Supply Chain Operation Reference)-based information model attempts to represent real requirements of each stakeholder. Initially, all relevance stakeholders are identified through field observation and interviews. Each SCOR model attribute, i.e. agility, assets, cost, reliability and responsiveness are mapped into respectfully definition in the field of Palm Oil agro-industry. The related attribute is derived into metrics of evaluation for measuring specific performance according to the formulation. In order to report a definitive performance measurement in each attribute, benchmarking from best practice is taken. This model functionality is evaluated by using real world data derived from two major provinces of Palm Oil agro-industry in Indonesia, namely Jambi and Riau provinces. Object relational database is generated and stationed in a cloud-based server. A framework of business process modeling and notation integrates these required processes of the model with the cloud-based database access. The integration of JavaScript (Bonita soft) based front-end with the SCOR-based database operation is ready for mobile and desktop usage. A series of visualization is provided to support fast understanding in each performance measurement, such us spider chart, histogram and line chart as well as ETL (extract, transform, load) features. A full comparison based on geographical location is ready for inquiry for each user level (farmer, trader and palm oil mill).Keywords—Agro-industry, Information, Palm Oil, Performance, SCOR
Measurement of Digital Banking Acceptance: The case of BRI Mobile Banking (Brimo) Mayandi, Zuhri; Rachman, Erpita; Tardini, Gabriella Alexander; Asrol, Muhammad
Innovative: Journal Of Social Science Research Vol. 3 No. 6 (2023): Innovative: Journal Of Social Science Research
Publisher : Universitas Pahlawan Tuanku Tambusai

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Abstract

Transformasi era digital telah dimulai, dan salah satu sektor yang terpengaruh adalah perbankan. Proses pengadopsian perbankan digital diharapkan dapat meningkatkan produktivitas, efektivitas, efisiensi, dan kesejahteraan sosial. Tujuannya adalah untuk memahami sejauh mana adopsi teknologi, khususnya perbankan digital, dipahami dan dimanfaatkan oleh masyarakat. Penelitian ini khususnya mengkaji adopsi Aplikasi Perbankan Mobile BRI (Brimo) oleh para nasabah. Pendekatan yang digunakan adalah Model Penerimaan Teknologi, yang menilai pengaruh kegunaan yang dirasakan, persepsi kemudahan penggunaan, budaya pelanggan, tingkat keamanan, dan media sosial terhadap penggunaan aktif Brimo oleh nasabah. Temuan utama dari penelitian ini menunjukkan bahwa kebiasaan menggunakan Brimo dan peningkatan penggunaan aktif dipengaruhi oleh kegunaan dan kemudahan penggunaan yang dirasakan. Variabel keamanan tidak berdampak signifikan pada persepsi kegunaan, dan variabel pengaruh sosial tidak berdampak signifikan pada persepsi kegunaan.
An Optimized Hybrid Model for Perishable Product Quality Inference in the Food Supply Chain Asrol, Muhammad; Suharjito, .; Jayadi, Riyanto
Emerging Science Journal Vol 9, No 1 (2025): February
Publisher : Ital Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/ESJ-2025-09-01-027

Abstract

The supply chain for perishable products faces significant challenges in monitoring and maintaining product quality. These products are particularly vulnerable to environmental dynamic conditions and variations in distribution and transportation. To address these challenges, leveraging the Internet of Things (IoT) and quality inference techniques during transportation can provide valuable insights for both consumers and producers. The objective of the research is to develop a model for inferring the quality of perishable products using an IoT sensor dataset to monitor perishable product quality continuously. This research applied a hybrid approach combining a Fuzzy Inference System (FIS), clustering models, and genetic algorithms to infer the product quality during supply chain distribution with IoT sensors. The result shows that the hybrid FIS model, which employs Gaussian membership functions and fuzzy c-means clustering for rule generation, achieves a high accuracy with an R²: 0.873. This research contributes to improving the model by employing genetic algorithms in optimizing the inference model by activating only five out of seven rules. The model optimization achieves optimal computation time while aiming to preserve model accuracy. However, test results indicate that the combination of rules has not yet significantly enhanced the model's accuracy, though it holds potential for future development. Doi: 10.28991/ESJ-2025-09-01-027 Full Text: PDF
Supply Chain Sustainability Measurement in Telecommunications Industry in Indonesia Nabil, Abdullah; Asrol, Muhammad
Engineering, MAthematics and Computer Science Journal (EMACS) Vol. 6 No. 2 (2024): EMACS
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/emacsjournal.v6i2.11307

Abstract

In the fiercely competitive telecommunications industry of Indonesia, the significance of innovation and perpetual improvement cannot be underestimated. It is imperative for businesses to explore the potential of sustainable supply chain management, as it allows for the integration of environmental, economic, and social dimensions. By implementing a comprehensive and thorough approach, this study offers a theoretical framework for measuring sustainable supply chain performance. Through qualitative and quantitative methods, you'll be able to identify the attributes that greatly impact the success of your sustainable supply chain management. On this research Analytic Hierarchy Process (AHP) utilize to define Consistency Ratio (CR) and weight between dimension using SuperDecisions software. Then, Multidimensional Scaling (MDS) is utilized to measure performance of supply chain sustainability. At the same time, a stress value also measured to indicate the sustainability measurement of one specific dimension is sufficient in accordance with existing condition or not. Next, to better indicate which attributes are most influential on improving dimensional sustainability performance, it is essential to conduct a sensitivity analysis and Montecarlo analysis for each attribute. In the end, this research successfully determined which attributes that influence sustainable supply chain management and measure the value of supply chain sustainability in the telecommunications industry in Indonesia.
Coffee Supply Chain Performance Measurement In Ulu Belu District, Tanggamus Regency, Lampung Province Sylvia, Teny; Wiyono, Teguh; Putra, Endo Pebri Dani; Asrol, Muhammad; Sembiring, Noveliska Br; Yunira, Eka Nur'azmi; Subara, Deni; Devita, Wilda Harlia
Agroindustrial Journal Vol 12, No 1 (2025)
Publisher : Department of Agroindustrial Technology, Faculty of Agricultural Technology UGM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/aij.v12i1.106071

Abstract

Ulu Belu District, as the largest producer of robusta coffee in Lampung Province, faces challenges throughout its coffee supply chain, from cultivation to marketing. This study aims to examine the structure of the coffee supply chain, evaluate its performance using the Supply Chain Operations Reference (SCOR) model combined with the Analytic Network Process (ANP), and recommend strategies for improvement. The identification results reveal that the coffee supply chain in Ulu Belu District involves several key actors, including farmers, commodity aggregators, collectors, business partners, ground coffee processors, domestic roasters, retailers, exporters, and consumers. This supply chain operates through the flow of products, information, and financial resources among these actors. The coffee supply chain performance measurement results in Ulu Belu District indicate a very poor overall performance score of 58.855. Performance at the three supply chain tiers also reflects concerning conditions: farmers scored 59.721, indicating a very poor performance; collectors scored 62.888, reflecting a poor condition; and business partnerships scored the lowest at 53.957, also categorized as very poor. The strategies for improving supply chain performance include providing training and outreach on Good Agricultural Practices (GAP), implementation of GAP and Good Handling Practices (GHP), implementation of the Common Code for the Coffee Community (4C) certification, increasing storage warehouse capacity, implementing Collaborative Planning, Forecasting, and Replenishment (CPFR) in supply chain management in Ulu Belu, determining safety stock, and planning delivery schedules.
Influence of Consumer Perception and Packaging Design on the Increase of Consumer Satisfaction with Packaged Drinking Water Fernando, Rio; Asrol, Muhammad
Jurnal Ilmiah Global Education Vol. 6 No. 3 (2025): JURNAL ILMIAH GLOBAL EDUCATION
Publisher : LPPM Institut Pendidikan Nusantara Global

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55681/jige.v6i3.3943

Abstract

The Indonesian Bottled Drinking Water (AMDK) industry faces complex and multidimensional challenges, especially those related to consumer satisfaction and environmental sustainability. One of the main issues highlighted is consumer dissatisfaction with the current AMDK packaging, which is often considered impractical, environmentally unfriendly, and raises concerns about the safety and cleanliness of the water content. These concerns significantly influence consumer preferences and purchasing behavior in a highly competitive market. The main objective of this study is to identify the influence of consumer perceptions of the quality, safety, and added value of AMDK products on overall consumption satisfaction. The research method consists of several stages, including problem identification, literature study focusing on the application of the Quality Function Deployment (QFD) method in developing Bottled Drinking Water products, formulation of survey questions regarding factors that influence purchasing decisions, and identification of critical attributes through QFD analysis. The research findings show a strong positive response from respondents at the questionnaire validation stage. Consumers highly value aspects such as innovative product design, use of high-quality and environmentally friendly materials, appropriate capacity, increased bottle thickness, and the potential for large-scale production of the product. These results suggest that integrating consumer input into the product development process can significantly improve satisfaction and market acceptance.
AN OPTIMIZE DISTRIBUTION USING HYBRID MODEL: CUSTOMER SEGMENTATION AND TRAVELING SALESMAN PROBLEM Suyoko, Agum Maulana; Asrol, Muhammad
Jurnal Teknologi Industri Pertanian Vol. 34 No. 2 (2024): Jurnal Teknologi Industri Pertanian
Publisher : Department of Agroindustrial Technology, Bogor Agricultural University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24961/j.tek.ind.pert.2024.34.2.117

Abstract

The research is motivated by issues encountered in the process of distributing products such as shifts in consumption patterns post the Covid-19 pandemic, and potential losses arising from the process of delivering food to customers. The objective of this study is to identify customer segmentation in order to enhance the efficiency of the distribution process and to identify the most efficient route for the distribution process. During the segmentation process, it is critical to identify the suitable attributes. Moreover, once the attributes have been identified, the segmentation process will be implemented using the K-Means method. Subsequently, the optimization process will be executed using the Traveling Salesman Problem. The result showed the segmentation process enable to find the optimal number of cluster, this is shown by reducing the number of clusters from 14 clusters to 9 clusters. Furthermore, the research outcomes regarding the optimization process demonstrate that the model is indeed optimal. The results indicate a 15.16% reduction in the overall travel distance, resulting in a decrease from 3,386.5 kilometers to 2,940.8 kilometers. Keywords : distribution process, customer segmentation, k-means, traveling salesman problem
Co-Authors . Suharjito Baidowi, Taufiq Devita, Wilda Harlia Dianta Mustofa Kamal E. Gunawan, Fergyanto Endo Pebri Dani Putra Erliza Hambali Erpita Rachman Jayadi, Riyanto Karmana, Asep Machfud Machfud Machfud Machfud Marimin , Marimin Marimin Mayandi, Zuhri Moh. Yani Muh. Yusram Massijaya Nabil, Abdullah Noveliska Br Sembiring, Noveliska Br Novi Purnama Sari Rio Fernando, Rio Safriyana, Safriyana Sri Martini Subara, Deni Suyoko, Agum Maulana Tardini, Gabriella Alexander Teguh Wiyono Yunira, Eka Nur'azmi Zulkarnain