Production Supervision Research Articles

MCDM Application on Indonesia Halal Food Development Strategy

This study tries to find strategies for the development of the halal food industry in Indonesia with one of the MCDM approaches, namely ANP. Based on the experts' answers, the results show that the biggest weight in the development of halal food in Indonesia is the strategy of strengthening the halal value chain ecosystem (0.33). Next are aspects of strengthening the local market (0.25) and aspects of institutional effectiveness (0.19). Last but not least is the product diversification strategy (0.16). Based on the results of this study, regulators can develop policies that support the establishment of halal centers as part of strengthening the value chain ecosystem. This can be done by providing fiscal incentives, technical assistance, and licensing that facilitate the establishment of halal centers. Then, regulators are expected to further encourage the standardization of domestic halal products by developing policies that facilitate the standardization process, including standard development, certification, and supervision of halal products.

How does the Cigarette Company Deal with the Rise of Illegal Cigarette Products

The phenomenon of the rise of illegal cigarette products in Bekasi poses a problem for cigarette companies. The reason is that these illegal cigarettes do not use excise tapes or use fake excise tapes that are detrimental to cigarette companies or the government. The trade in illegal cigarette products does not have a circulation permit among the community. This study aims to find the influence of price and product packaging suitability on consumer purchase decisions on illegal cigarette products in East Bekasi. The method used was a quantitative approach with pre-survey results of 20 respondents. With the final survey results, 100 respondents were collected through google form using a data collection technique, namely purposive sampling. The statistical data processing used is Structural Equation Modeling Partial Least Square (SmartPLS). In combating illegal cigarette products, continuous efforts are needed and finding the right innovations in order to break the circulation of illegal cigarettes in the community. Such as strengthening regulations in collaboration with the government and law enforcement agencies. Tightening supervision of cigarette products circulating in the community. Some implications for cigarette companies such as issuing new innovations for the community to increase competitiveness in the market. A marketing campaign that promotes the importance of legality that can affect a cigarette product. A significant contribution to the literature on cigarette companies in this study is to look at business strategies from the perspective of cigarette companies in terms of dealing with the rise of illegal cigarette products. This study provides a new insight into policies that can be used into effective plans to reduce the circulation of illegal cigarettes while maintaining business sustainability.

Quality supervision mechanisms on green product for online retailing in the blockchain technology era.

With the development of e-commerce and the increase of consumers' green consciousness, more and more consumers purchase green products online. The frequent occurrence of the fake green product in online shopping has been harmful to the management and operation of the online market. In order to find the ways for the platform to supervise effectively green products quality problems, we consider the role of blockchain technology, the dynamic penalty mechanisms, the three strategy choices of seller, and the green awareness of consumers, and establish a supervision game model with the participation of online platform, online seller and consumer, which analyzes the equilibrium state of the three parties. The results show that (1) the level of the consumers' green awareness, the compensation for green consumers, and the cost saved by non-green products are the critical factors to ensure the effectiveness of the platform punishment mechanism; (2) the combine effect of dynamic punishment and blockchain supervision can effectively and rapidly improve the quality of green products; (3) the improvement of consumers' green awareness can drive sellers to sell green product, and makes the platform to strengthen the supervision of fake green products.

ASAS PENGAYOMAN DALAM SISTEM JAMINAN PRODUK HALAL DI KABUPATEN ACEH BARAT

Aceh Qanun No. 8/2016 on Halal Product Guarantee System is based on the principle of protection. The principle of protection is a function of the Government of Aceh to protect the lives of all people, not only Muslims, but all other religious communities. In this case, the Government of Aceh tries to provide a guarantee of legal certainty for products consumed by the community. Based on the data found, there are 94 MSMEs in West Aceh Regency, but only 30 MSMEs have halal certificates. Based on this, there are two problems, namely the implementation of the principle of protection in the halal product guarantee system and how the form of Local Government supervision of the halal product guarantee system in West Aceh Regency. The research method used is empirical juridical which produces descriptive data regarding the Principle of Protection in the Halal Product Guarantee System in West Aceh Regency. The result of the research found that the implementation of the principle of penayoman by the Government of Aceh to provide legal certainty guarantees for products consumed by the public has not been maximized. This can be seen from the number of Micro, Small and Medium Enterprises that do not have halal certificates that are still many. The application of the principle of protection that has not been maximised is also influenced by the supervision system that has not been maximised either. Supervision involves several institutions in the West Aceh District Government such as the Ministry of Religion and the Health Office. The main obstacle that occurs is the lack of funds allocated for this limited supervision so the supervision of halal products for Micro, Small and Medium Enterprises in West Aceh is not optimal

The Implementation of Aceh Qanun on Halal Labeling for MSMEs in West Aceh Regency

The purpose of this study is to determine the implementation of Aceh Qanun Number 8 of 2016 on the Halal Product Assurance System (The Aceh Qanun on Halal Label) on Micro, Small, and Medium Enterprises (MSMEs) and to understand the supervision of the implementation of the Aceh Qanun on Halal Label in West Aceh Regency. The study method used is empirical juridical, producing descriptive data regarding implementing the Aceh Qanun on Halal Label towards MSMEs in the West Aceh Regency. This study is important because data from the Health Office of West Aceh Regency shows that 30 MSMEs have obtained halal certificates. In comparison, 64 MSMEs do not have halal certificates for their marketed food products. Based on the data, this fact does not comply with the provisions of Article 4 of Law Number 33 of 2014 on Halal Product Assurance (hereinafter referred to as the Halal Product Guarantee Law 2014), which obliges all products traded in Indonesia to have halal certification. This provision is in line with Article 4 of the Aceh Qanun on Halal Label, which states that the Halal Product Assurance System aims to provide protection, peace of mind, and legal certainty to the community in consuming and using Halal and hygienic products for physical and spiritual health. The assurance of halal products refers to legal certainty regarding the halal status of products, proven by halal certificates, halal registration numbers, and halal labels. Many MSMEs in West Aceh do not have halal product certificates, so the objectives of the Aceh Qanun on Halal Label have yet to be well implemented. The suboptimal supervision also influences the suboptimal implementation of the Aceh Qanun on Halal Label. This supervision involves various West Aceh Regency Local Government institutions, such as the Ministry of Religious Affairs and the Health Office. The main constraint is the limited funds allocated for such supervision, resulting in suboptimal halal product supervision for MSMEs in West Aceh.

Rapid and duplex detection of sweetpotato and maize components in starch products using Proofman-LMTIA method

To simultaneously detect sweetpotato and maize components in starch products, this study develops a rapid analysis method based on ladder-shape melting temperature isothermal amplification (LMTIA) coupled with proofreading enzyme-mediated probe cleavage (Proofman). Internal transcription spacer (ITS) gene sequences were targeted to design species-specific primers linked with Proofman probes. The detection of this duplex Proofman-LMTIA method could be completed in 20 min under the optimal temperature of 61 ℃. The specificities of sweetpotato and maize ITS primers were verified with seven other species. The sensitivities of sweetpotato and maize DNA extracts were 10 pg/μL and 1 pg/μL, respectively. The detection limits of sweetpotato and maize DNA samples extracted from artificially adulterated starch powders were both 1 %. To demonstrate the effectiveness of the established duplex Proofman-LMTIA method, a total of 19 commercial sweetpotato noodles and 14 starch products were collected and tested for sweetpotato and maize authentication. Taken together, the LMTIA method is suitable for rapid and accurate detection of sweetpotato and maize components in starch products. The popularization of this method will provide guidelines for ingredients authentication and market supervision of products.

Multi-mode monitoring and energy management for photovoltaic-storage systems

The integration of photovoltaic generation systems and variable demand can cause instability in the distribution network, due to power fluctuations and the increase in reactants, particularly in the industrial sector. In response, photovoltaic units have been equipped with local storage systems, which eventually absorb power fluctuations and improve installation performance. However, during this procedure other functionalities that energy storage could provide are neglected. Consequently, this study provides a multi-mode energy monitoring and management model that enables voltage regulation, frequency regulation and reactive power compensation through the optimal operation of energy storage systems. With this objective, a smoothing control algorithm is developed that interacts with parameters of the electrical grid at the common connection point and also allows the compensation of reactive power based on an industrial demand profile. This strategy uses the Long short-term memory neural network of historical demand data prior to energy consumption with a relatively low RMSE of 1.2e-09. The results are previously validated in a development environment using a real-time OPAL-RT simulator and tests in the electrical Microgrid laboratory at the University of Cuenca. This configuration allows establishing a demand forecasting model that improves the supervision, automation and analysis of daily energy production. A series of results are provided and analyzed that demonstrate that the new tool allows taking advantage of the provision of multimode functionalities, achieving optimal voltage regulation and improving power quality by reducing the total harmonic distortion THD (V) and THD (I) indices by 0.5. % and 2 % respectively.

Analyzing transformative marketing strategies for empowering enterprise sales achievement

Marketing management is the systematic organization and supervision of businesses' production and sales activities, focusing on market research to satisfy consumer demand and generate profits. Advertising is a crucial managerial operation, alongside finance, production, research and logistics. According to the management theory, marketing demands consumers vote with their money for the products that are essential to them. This decides the profitability of the business and meets the needs of the client. The majority mistakenly associated this idea with sales and promotion as marketing is the means of persuading the people to make an investment. The main component of sales is face-to-face interaction, where vendors interact with prospective consumers. Marketing uses media outlets and other means to generate demand and persuade individuals, even those without personal connections, to purchase goods or services. The goal is to understand consumers, so that the product or service matches their needs and sells itself, focusing on unnecessary sales.

Design and Test of Intelligent Farm Machinery Operation Control Platform for Unmanned Farms

The unmanned farm control platform is of great significance in promoting the supervision of farm production with less manpower or autonomous operation of farm machinery and the construction of farm informatization. Addressing the existing control platform for farm location information acquisition is time-consuming, labor-intensive, and lacks the whole process control of multiple types of farm machinery. In this paper, we propose an Internet of Things (IoT) control scheme for intelligent farm machinery operation of unmanned farms and design the access standards for multiple types of farm machinery, as well as realize the remote control of intelligent farm machinery operation by constructing a remote control model. A high-precision map construction method is designed to improve the DeepLabV3+ algorithm to identify fields and roads. The control models of path planning, remote task, remote control, and safety system are built to achieve the remote control of intelligent agricultural machinery operation. The proposed technology is implemented in the platform integration and application tests are carried out. The error of the constructed high-precision map is less than 3 cm, the completeness rate of the automatic boundary extraction rate is 96.71%, and the correctness rate is 95.63%, which can be used to obtain the boundary instead of manual labeling or on-site point picking. The use of the platform for the simultaneous control of three farm machinery operations reduces the number of people in operation and production and reduces the professional requirements of the personnel, which will promote the management of the entire farm by one person or even by no one in the future.

State market surveillance of non-food products in Ukraine: analysis of the decision of the Constitutional Court of Ukraine № 9-r(ii)/2023 dated November 1, 2023 in case № 3-53/2022(126/22)

The article analyzes the problem of state market supervision of non-food products in Ukraine. Problematic aspects of administrative and economic responsibility for putting into circulation products that do not meet the established requirements are considered. The decision of the Constitutional Court of Ukraine No 9-р(ii)/2023 of November 1, 2023 in case No 3-53/2022(126/22) and the separate opinion of the judge of the Constitutional Court of Ukraine G.V. Yurovskaya were analyzed on this issue. It is noted that strengthening consumer protection and improving quality control and safety of products and services are important tasks for any country, including Ukraine. And the creation of an effective legislative mechanism that guarantees consumer rights and determines the responsibility of enterprises for the quality and safety of products stimulates the development of entrepreneurship and competitiveness in the market, which in turn helps to improve the investment climate and ensures a balanced development of the economy. The process of improving legislation on the protection of consumer rights is considered. It has been proven that legislative changes in this area were aimed at reducing corruption risks in the field of monitoring compliance with requirements for the quality and safety of products and services, and the increase in fines for product distributors who did not provide the necessary documentation for supplier identification was aimed at creating economic conditions at which it will be unprofitable to trade products without proper documents. Attention has been drawn to the possibility of establishing absolutely defined and (or) non-alternative sanctions in acts of public legislation in the case when the subject of law enforcement is a government body other than a court. A balance between clarity of sanctions and flexibility in their application has been proven to help ensure fairness and efficiency of the legal system.

Design of Safety Evaluation and Risk Traceability System for Agricultural Product Quality

The quality and safety of agricultural products involve a variety of risk factors, a large amount of risk information data, and multiple circulation and disposal processes, making it difficult to accurately trace the source of risks. To achieve precise traceability of agricultural product quality and safety, the monitoring and supervision level of agricultural product traceability systems needs to be improved. In this paper, the agricultural product quality- and safety-related detection data are taken as the research object, the agricultural product supply chain and business process are sorted out, the agricultural product risk factors under the influence of heavy metals are analyzed, and the agricultural product quality and safety risk evaluation model is established. The agricultural product risk traceability system was designed based on the six-layer architecture of the equipment layer, data layer, service layer, application layer, display layer, and user layer. Combined with the agricultural product quality and safety risk evaluation model, the system data were stored and modified by using the MySQL relational database, and the agricultural product risk traceability system was developed, which realized the accurate traceability of the risk link of the quality and safety of agricultural products. The research results of this paper provide an effective information means for the quality and safety supervision of agricultural products, and provide a technical reference for the development of a traceability system of risk factors related to agricultural products, which has good practical significance.

Innovation in Hong Kong Offshore RMB Products Based on Stablecoin,Blockchain,and Smart Contract

The rapid development of stablecoin has become one of the important issues of concern for central banks and governments around the world. As an international financial center, Hong Kong has launched many explorations on the issuance, supervision and operation of stablecoin-related digital products. This article suggests that Hong Kong can create a stablecoin anchored to the offshore RMB and, based on this stablecoin, use limited distributed blockchain technology and smart contracts to establish a new digital financial infrastructure platform. The above platform. will have broad application prospects in three aspects: advancing the construction of the Guangdong-Hong Kong-Macao Greater Bay Area international financial center cluster, promoting the internationalization of RMB, and enhancing national security in the financial sector.

DETERMINING THE WEIGHT OF OIL EXTRACTED WITH A SCREW PRESS USING A STRAIN GAUGE SENSOR, HX711 MODULE, AND ARDUINO

This research presents an automated system for quantifying oil extracted from a screw press, leveraging a strain gauge sensor and HX711 module in synergy with the Arduino platform. This innovative setup measures the target mass of extracted oil, wherein the collected data is further processed by an Arduino microcontroller. User-defined measurement parameters, such as specific oil mass, dictate when the system terminates the screw press operation. Hitting the set oil mass triggers the Arduino microcontroller to halt the press, allowing for the conservation of raw materials and energy, and consequently ensuring product quality consistency. Conversely, if the desired mass value remains unreached, the extraction continues until fulfillment of target outcomes. This approach optimizes press use, manifesting in maximum efficiency and selectivity in the production process. It demonstrates how such a control system can automate measurement and production supervision, thus fostering optimal screw press operation. The article suggests the solution for integrating Arduino, HX711 module, and strain gauge sensor to measure the weight of the oil extracted through the screw press. The strain gauge and HX711 module were programmed within the Arduino Integrated Development Environment, enabling the accurate measurement of extracted oil mass and data transference to the Arduino controller. A housing bracket 3D model for the strain gauge and HX711 module within the existing screw press was also created using 3D modelling and subsequently printed and implemented. This aids reliable sensor fitting and ensures system stability for oil mass measurement. This study demonstrates the potential for implementing this advancement within pre-existing press infrastructures with minimal changes. Our methodology offers prospective enhancements in quality and efficiency, notably within the oil production domain.

Canvassing KUR Products At Sharia Pegadaian UPS RS. Suwondo Pati

Canvassing activities for KUR products at the Sharia pawnshop UPS RS. Suwondo Pati was carried out by Internship Students from the IAIN Kudus Sharia Banking study program, which is a Field Experience Practice activity for customers that focuses on canvassing KUR products in the Pati unit sharia pawnshops. This activity was divided into 3 stages, namely the first stage in the form of supervision of KUR products, the second stage in the form of implementation and the third stage in the form of supervision carried out by students in marketing KUR products around the Pati area. With this activity, it is hoped that customers can understand KUR products at the UPS RS sharia pawn shop. Suwondo Pati and Through this canvassing activity, Pegadaian Syariah seeks to provide an in-depth explanation of the benefits and process of applying for KUR to prospective borrowers. In addition, by interacting directly, the sales and marketing of Pegadaian Syariah can better understand the needs and challenges faced by Micro, Small and Medium Enterprises, so that they can provide more targeted financial solutions.

Identification and quantification of viable Lacticaseibacillus rhamnosus in probiotics using validated PMA-qPCR method.

The identification and quantification of viable bacteria at the species/strain level in compound probiotic products is challenging now. Molecular biology methods, e.g., propidium monoazide (PMA) combination with qPCR, have gained prominence for targeted viable cell counts. This study endeavors to establish a robust PMA-qPCR method for viable Lacticaseibacillus rhamnosus detection and systematically validated key metrics encompassing relative trueness, accuracy, limit of quantification, linear, and range. The inclusivity and exclusivity notably underscored high specificity of the primers for L. rhamnosus, which allowed accurate identification of the target bacteria. Furthermore, the conditions employed for PMA treatment were fully verified by 24 different L. rhamnosus including type strain, commercial strains, etc., confirming its effective discrimination between live and dead bacteria. A standard curve constructed by type strain could apply to commercial strains to convert qPCR Cq values to viable cell numbers. The established PMA-qPCR method was applied to 46 samples including pure cultures, probiotics as food ingredients, and compound probiotic products. Noteworthy is the congruity observed between measured and theoretical values within a 95% confidence interval of the upper and lower limits of agreement, demonstrating the relative trueness of this method. Moreover, accurate results were obtained when viable L. rhamnosus ranging from 103 to 108 CFU/mL. The comprehensive appraisal of PMA-qPCR performances provides potential industrial applications of this new technology in quality control and supervision of probiotic products.

Cold Chain Logistics Supervision of Agricultural Products Supported Using Internet of Things Technology

Cold Chain Logistics Supervision of Agricultural Products Supported Using Internet of Things Technology

Energy Management Model for a Remote Microgrid Based on Demand-Side Energy Control

The internet of things is undergoing rapid expansion, transforming diverse industries by facilitating device connectivity and supporting advanced applications. In the domain of energy production, internet of things holds substantial promise for streamlining processes and enhancing efficiency. This research introduces a comprehensive monitoring and energy management model tailored for the University of Cuenca’s microgrid system, employing internet of things and ThingSpeak as pivotal technologies. The proposed approach capitalizes on intelligent environments and employs ThingSpeak as a robust platform for presenting and analyzing data. Through the integration of internet of things devices and sensors, the photovoltaic system’s parameters, including solar radiation and temperature, are monitored in real time. The collected data undergo analysis using sophisticated models and are presented visually through ThingSpeak, facilitating effective energy management and decision making. The developed monitoring system underwent rigorous testing in a laboratory microgrid setup, where the photovoltaic system is interconnected with other generation and storage systems, as well as the electrical grid. This seamless integration enhances visibility and control over the microgrid’s energy production. The results attest to the successful implementation of the monitoring system, highlighting its efficacy in improving the supervision, automation, and analysis of daily energy production. By leveraging internet of things technologies and ThingSpeak, stakeholders gain access to real-time data, enabling them to analyze performance trends and optimize energy resources. This research underscores the practical application of internet of things in enhancing the monitoring and management of energy systems with tangible benefits for stakeholders involved.

Business Management

The business management discussed in this article includes the functions and roles of management, company organization, management of the production of goods and services, and management of human resources. The main focus is understanding how effective management can improve company performance through strategic planning, good organization, efficient production supervision, and human resource management oriented towards developing employee potential. This article details the importance of integrating all these aspects in achieving business goals and increasing a company's competitiveness in a dynamic business environment. This article was created using the Literature Study Method by searching from book sources related to Business Management which were then studied and collected into data. In business management, the role and function of management is very crucial. Management is responsible for organizing the company, managing the production of goods and services, and managing human resources. By designing efficient organizational structures, coordinating production processes, and leading human resource development, management helps achieve business goals in a sustainable manner. Overall, the role of integrated management plays a key role in the success and growth of the business.

Determining the geographical origin and glycogen content of oysters using portable near-infrared spectroscopy: Comparison of classification and regression approaches

Oysters are extensively cultivated worldwide. However, significant variations in chemical composition, quality, and price exist between oysters from different geographical origins. This study employed portable near-infrared spectroscopy in conjunction with chemometric analysis to determine the geographical origin and glycogen content of oysters. Pretreatment methods (multiplicative scattering correction, first derivative, and second derivative) were used to preprocess the raw spectra. Partial least squares discriminant analysis (PLS-DA), orthogonal partial least squares discriminant analysis (OPLS-DA), and support vector machine (SVM) were then adopted to establish the qualitative models. Partial least squares regression (PLSR) and support vector machine regression (SVMR) were compared for predicting the glycogen content. The results revealed that the PLS-DA, OPLS-DA, and SVM models classified the geographical origin of oysters with 100% accuracy. For quantitative analysis, the regression equations displayed high predictive ability. The SVMR model was superior to the PLSR model for glycogen content prediction, with a coefficient of determination of prediction (R2P) of 0.9253 and a residual prediction deviation (RPD) of 3.62. Therefore, the proposed approach is suitable for the accurate and environmentally friendly determination of the geographical origin and glycogen content of oysters, thus representing an attractive alternative method for the traceability supervision and quantitative analysis of seafood products.

Establishment of dairy product risk rank model based on the perspective of time, space, and potential contaminants

China ranks third in the global production of dairy products; however, dairy products are extremely vulnerable to contamination, which leaves harmful effects on the human body. This study assesses the risk classification of hazards, and examines regional and temporal distribution patterns using sample data on dairy products produced in China from 2017 to 2021. The risk value was estimated using the entropy weight method. Both global and local spatial autocorrelations were applied. The findings indicate that the primary high and relatively high-risk substances in circulation and production are veterinary medications, additives, microorganisms, and chromium whereas the main high and relatively high-risk substances in catering are additives, microorganisms, and chromium. Unqualified dairy samples were reported from 2017 to 2021. The categorical sampling of dairy products primarily takes place in western China, and only coliform group and total bacterial counts demonstrated high–high and low–low agglomeration, respectively. The dynamic adjustment of targeted regulatory opinions and regulatory plans is proposed to provide scientific basis for the safe supervision of dairy products through the classification of risk substances and the characteristics of related time and space distribution.