bluuebunny/crossref_metadata_2025_split huggingface dataset:
Spatial-based multicriteria decision-making model for coconut sugar agro-industry location selection: A case study at Indragiri Hilir District, Riau Province, Indonesia
Authors: Wardah S , Yani M 
Published: August 2022

Abstract
Coconut has become a major agricultural commodity because of its significant economic multiplier effects on people in the Indragiri Hilir District, Riau Province, Indonesia. One of the superior coconut products is coconut sugar, which may serve as a healthier substitute for conventional sugar because it has a lower glycemic index. Developing coconut sugar in the agro-industry certainly requires spatial mapping that best fits the criteria of sustainable agro-industry. Therefore, a spatial-based multicriteria decision-making model is required to select the best locations for product development. The integration between geographic information systems (GIS) and the analytical hierarchy process (AHP) was applied to acquire the target. It is relatively easy to handle various criteria with spatial and non-spatial data and balance qualitative and quantitative data. The results showed that the criteria contributing to selecting the location for the coconut sugar agro-industry included economic, social, environmental, technology, and infrastructure. Tembilahan Hulu and Kuala Indragiri became the most potential locations relevant to the analysis results. This work provides significant input and data for local governments in constructing policies related to the development of the coconut sugar agro-industry.
Analysis and design of quality control system in ground coffee SMEs
Authors: Cendikia M , Raharja S , Udin F 
Published: August 2022

Abstract
Demands for quality assurance of food products are increasing due to the implementation of free trade. These demands require improvements in the application of food quality control process. SMEs in Indonesia inspect the quality of ground coffee manually, the subjectivity and long inspection time causing the SMEs have not been widely applying the consistent quality control system. This study aims to identify the quality control point of ground coffee, classify the quality following Indonesian National Standard (SNI) requirements and determine the corrective or preventive actions needed to produce a consistent, integrated quality control system for ground coffee SME. System requirements are analyzed based on their complexity in real-world using BPMN 2.0. The system made by clustering method with the K-means algorithm. K-Means divides the data into clusters, with data in one cluster sharing similar features but differing from other clusters. The data given is quality data from the bean and ground coffee quality testing. The final results of this study are three clusters of ground coffee quality and association rules determined by the Association Rule Mining method. These rules may use as a reference in taking corrective actions and preventive actions for a nonconformance product.
Rapid assessment model on risk management based on ISO 31000:2018
Authors: Hardjomidjojo H , Pranata C , Baigorria G 
Published: August 2022

Abstract
Risk management is an integral part of the management process to identify potential risks an organisation faces and mitigation measures to eliminate the impact of risks. The organisation is committed to managing risk consistently and continuously. The application of Risk Management in decision analysis can improve the organisation’s operational performance and competitive value. ISO 31000:2018 is a standard guide, instructions, and requirements for an organisation to build a foundation and framework for a risk management program. This research aims to design a model for rapid assessment of risk management implementation based on ISO 31000:2018. The rapid assessment model developed is supported by a specific and detailed model to have detailed information about the factors that the company should improve. The rapid assessment model is based on three parts of risk management of ISO 31000:2018 according to “three lines of defence”; risk owners, risk control and compliance and risk assurance. The total number of factors measured in the rapid assessment model is 43; 9 factors for the first part, 15 for the second part, and 19 for the last part. A specific and detailed model consists of 481 measurements; 24 factors for the first part, 171 for the second part, and 286 for the last part. A trial of the model has been done for measuring the performance of risk management implementation in two agroindustries; herbal and instant beverage companies. The result shows that both companies are categorised as “well implemented” for operational risk management by using the rapid assessment model. Based on the results using a specific and detailed model, the herbal agroindustry is categorised as “well implemented” for risk management operation in the company, while for the instant beverage company, the risk management is already “implemented but needs improvement”. Thus, the instant beverage company should increase its performance in complying with ISO 31000:2018 based on the lowest scored measurement in the result.
Industrial performance achievement assessment model
Authors: Darmawan M A , Irawan F H 
Published: August 2022

Abstract
The current era of globalization makes competition in the world market becomes tighter. The company’s excellent performance is needed to win the competition and become a leader in the global market. The Malcolm Baldrige’s Criteria for Performance Excellence (MBCfPE) is a guide and measurement tool for determining the performance of an organization’s excellence achievement. This research aims to design a model for measuring the performance of the agroindustry. The model is based on MBCfPE and consists of seven assessment criteria, namely: (1) Leadership, (2) Strategic planning, (3) Customer focus, (4) Measurement, analysis, and knowledge management, (5) Workforce focus, (6) operation focus, and (7) Results. There are sub-criteria under the 7 criteria mentioned before. Two analyses measure the criteria; ADLI (Approach, Deployment, Learning, Integration) and LeTCI (Level, Trend, Comparative, Integration) analysis. ADLI analysis is used to measure the achievement of the first until the 6th criteria, while for the 7th, the LeTCI analysis is used. The model was tested using secondary data from the evaluation results of three industries, PT Garam, PT Balai Pustaka and RM Cibiuk. The assessment results showed that the three companies are still in the Early Result category. The scores for PT Garam are 335.07, PT Balai Pustaka is 285.97, and RM Cibiuk is 263.70 compared to the total score of 350. The recommendation given to the agroindustries is based on the lowest score of the factors measured. After conducting three leverage tests, the scores of the three companies increased but were still in the same category. The scores for PT Garam are 348.41, PT Balai Pustaka is 301.6, and RM Cibiuk is 283.7. The model has shown a good result for measuring the dynamic change of.
Applying of human-centered design in green tea new product development
Authors: Rianne W , Anggraeni E 
Published: August 2022

Abstract
PT. X plans to develop green tea as a healthy brewed beverage product for millennials. To develop the product, PT.X must understand consumer needs and wants regarding the green tea drinks in the market. Human-centered design is used to develop products by focusing on understanding the needs and wants of the consumers and translating them into product concepts. The target consumers are millennials, Social Economic Status (SES) middle-upper, and living in urban areas. Based on the exploration, it is found that the healthy condition of millennials and product excellence are two main themes for the products that are further translated into five design principles consisting of the main benefits, healthy lifestyle, compatibility, practicality, and trust. Using these five design principles, two product concepts are designed. Concept 1 is green tea and peppermint, and Concept 2 is green tea and telang. Evaluation of human truth is relevant to what is needed by consumers, while consumers generally accept the evaluation of product concepts. Concept 2 is preferable to Concept 1 in terms of overall liking, uniqueness, and purchase intention, but Concept 1 is more chosen than Concept 2.
Identification of integrated system of sustainable agricultural with partnership system in supporting food security: a review
Authors: Sodikun  , Sukardi  , Ismayana A 
Published: August 2022

Abstract
The integration of sustainable agriculture has become an interesting object and has been studied by many world scientists to increase state income from the agricultural sector in a broad sense. Therefore, this article will identify an integration system of sustainable agriculture with a partnership system in supporting food security. This identification will present findings and opportunities for integrated sustainable agriculture integration systems with partnership systems in supporting food security. Based on the identification results, it was found that there are several obstacles to creating this effective agricultural system, which requires expertise in its management. Knowledge of agricultural management and knowledge of agriculture, animal husbandry, and fisheries are also very necessary in order to find new things that are more effective with the concept of zero waste and efficiency. In addition, the development of sustainable integrated agriculture is still very potential because the demand for domestic meat and vegetables in meeting market needs is still very large. The existence of an integrated farming system is intended to extend the biological cycle by optimizing the utilization of the other side of agriculture and animal husbandry. Every link in the cycle is attempted to produce new products that have economic value. In addition, to support a sustainable integrated farming system, it is necessary to carry out integrated agricultural activities with a partnership system.
K-means cluster approach in grouping of seaweed agroindustry development areas
Authors: Sudarwati W , Hardjomidjojo H , Machfud  , Setyaningsih D 
Published: August 2022

Abstract
Location determination is one of the important factors considered in agroindustry development. This study aimed to overview the regional grouping of seaweed agroindustry development in Indonesia. The K-mean Cluster approach was carried out to classify 26 seaweed-producing areas based on several criteria, such as availability of raw materials, labour, markets, and infrastructure. Data processing was conducted using SPSS software and produced 4 significantly different clusters. This was confirmed by a Euclidean distance obtained from ANOVA results, with a significance level below 0.05. The four clusters obtained can be categorized as “Highly Developing”, “Developing”, “Develop Enough”, and “Less Developed. Among 26 seaweed producing areas, East Java Province was included in a Highly Developing cluster, 3 provinces (South Sulawesi, Central Sulawesi, and East Nusa Tenggara) were included in a Developing cluster, 18 provinces (Maluku, West Nusa Tenggara, North Kalimantan, Southeast Sulawesi, Sulawesi North Maluku, Central Java, West Sulawesi, East Kalimantan, Gorontalo, Bengkulu, North Sumatra, West Kalimantan, South Kalimantan, Papua, West Papua, Lampung and Bali) were categorized into a “Develop Enough” cluster and 4 provinces (Banten, DKI Jakarta, West Java, Riau Islands) were categorized into a “Less Developed”.
Exploring the sustainability dimensions of coffee agro-industry: a critical review and future research agenda
Authors: Hadi A H , Suprihatin  , Pramuhadi G 
Published: August 2022

Abstract
The international coffee organisation is committed to providing information and conducting structured studies to regularly report on the development of relevant aspects or indicators of the coffee sector to reduce climate change and environmental impacts. The international community is progressively building green ecosystems that maintain an effective climate to create increased opportunities to promote low-carbon and climate-resilient development paths, and there are various kinds of drivers or indicators as key success factors in the custom and optional coffee agroindustry sector that must be considered following the social, environmental and system conditions that are implemented to achieve sustainable productivity. This paper aims to analyse the key dimensions of selected (literature) articles from 2010 to 2020 using Harzing’s or Perish, Mendeley, Microsoft Excel and Vosviewer applications by identifying, extracting and synthesising several scientific articles related to agriculture. Coffee. Industry to be the basis of a sustainable future research agenda. The determination of the sustainable dimension refers to the need for future research (future research agenda) to be carried out, while the processing and critical review of the paper (a critical review) is carried out by classifying the key dimensions related to the total factor of green productivity. The results obtained on network overlay and density visualisation resulted in further research: (1) coffee consumption, (2) sustainable supply chain, (3) environmental sustainability, (4) green coffee beans, and (5) speciality or fine coffee.
Reducing market and household organic waste with the concept of an open-loop supply chain model
Authors: Paduloh P , Rosihan R I , Widyantoro M , Zulkarnaen I 
Published: August 2022

Abstract
Waste is a challenge for many countries in the world, including Indonesia. Based on data from the Ministry of Environment, the volume of waste in Indonesia reached 64 billion tons per year. Organic waste is the most significant type of waste produced, 60% of the total type of waste. This study analyzed the causes of organic waste originating from the household and market sectors, where organic waste is not handled correctly. Parts of fruit and vegetables that should still have added value are immediately disposed of and end up in landfills. This study used an open-loop supply chain method to analyze the potential for adding value to waste. This research produced a model for processing organic waste and suggestions for adding value to the organic waste. Such as being used as animal feed, as a medium for maggot growth, water fleas with high selling value, and compost or biogas. This research could directly impact the market’s economic value, community environment, and housing.
Designing of temperature control for agitator machine using Internet of Thing
Authors: Paduloh P , Fatahillah H , Ramadhan M A , Muhendra R , Widyantoro M , Sumanto  
Published: August 2022

Abstract
Aristek Highpolymer is a company that produces emulsion polymers and synthetic resins. In the production process, the R301 agitator has often experienced overheating, which disrupted the production process and caused damage to the mixer engine motor. Currently, checking the temperature on the Agitator R301 has been done manually using a thermo-gun and often caused the information to be hampered and several times caused the stirrer motor to go off. For this reason, this study designed a tool that could facilitate checking and reporting if there was an increase in engine temperature. This tool utilized an information system using the concept of Web-Based Internet of Things (IoT). The information system was designed using UML, and the temperature reader was designed using Arduino Uno, Max6675 temperature sensor, and GSM SIM 800L module using the Fritzing application. Product design was done using QFD to get the design of the control device according to the customer’s wishes. The research and experiments obtained a machine temperature controller that could provide information directly to decision-makers if an abnormal event occurred in the machine. It could also control the engine temperature so that it increased productivity and decreased maintenance costs for the agitator machine.
A traceability model for imported dairy products using multiplatform ID product
Authors: Darajatun R A , Rusli M S 
Published: August 2022

Abstract
Milk is a food product with a long chain circulation pattern. It must be handled correctly to maintain its quality. The variety of products and suppliers creates the need for various product identities, types and patterns. Identity or ID is made in the form of a code of important information. This diversity poses a challenge for industrial-scale recipients to record and obtain information to ensure quality and traceability. This study aims to design a system that can read, store product identity data with complex patterns, different types of codes, and translate them into information. This study uses the SDLC method to build a conceptual framework, where the mapping of needs in this study is shown in UML diagrams, use case diagrams, and BPMN diagrams. The information system is made web-based. Mobile data and information are facilitated by android devices equipped with an ID code scanner (multiplatform). This system works in an online network and automatically provides decision-making information.
A system analysis and design for ubiquitous material procurement control of cocoa-agroindustry
Authors: Dianawati  , Indrasti N S , Djatna T 
Published: August 2022

Abstract
Cocoa is an annual plant passed down from generation to generation in farming communities. The Indonesian cocoa-based product agroindustry, in practice, still depends on cooperative ties with partner farmers to fulfil its raw materials. The problem with controlling cocoa procurement is the manual communication and information system with cocoa partner farmers. Data systems and document tracking are incomplete and tidy. This study proposes a task analysis and design material procurement control for cocoa beans in partner farmers. The methodology designs consisted of the use case diagram actor relational analysis. The model is equipped with the design process initiated with the BPMN. The data attributes construction was based on partnership contracts, resulting in database table relation schemes. A partnership contract was constructed based on the decision trees mechanism to get recommendations and evaluations in future contracts. The analysis results showcased how traceability systems work in the digital business ecosystem involved in dispersed stakeholders. Stakeholders provide manual data transformation to the digital system by using digital applications.
Blockchain traceability for agroindustry - a literature review and future agenda
Authors: Marfuah U , Yuliasih I 
Published: August 2022

Abstract
The development of technology is increasingly fast, making the demands of life also continue to increase. Until this blockchain technology is present, interest in research on the blockchain has risen in recent times. This literature study was conducted to discover the current development of blockchain technology and research trends focusing on contributions to traceability systems. After knowing the latest research developments and trends, it is hoped that other researchers can take the gap to develop the research further and utilise this technology in a variety of industrial applications. The method approach used in this article uses the literature review method. Scopus is used as a source of data to determine the development of blockchain research from year to year. Search results data from the web Scopus with the keyword ‘Blockchain Traceability’, filtered and sorted based on research methods, study subjects and content analysis. The development of current research trends that are still limited by conceptual and descriptive methods on issues of computer science studies can be seen. With content analysis in the financial or financial sector, recommendations are given for further research (future research) for researchers based on current research trends.
Application of artificial intelligent on agriculture: a cellular automata like multi-agents engine for agroecosystem simulation
Authors: Rodin V , Ballet P , Pottier B 
Published: August 2022

Abstract
This short paper corresponds to the talk given as an invited speaker during the ITaMSA 2021 conference, Bogor (Indonesia). In this short paper, the reader can find the major concepts used for the modeling and simulation of agroecosystems. On the one hand, the concept of Multi-Agents Systems is presented with the main properties of these systems. On the second hand, the foundations and the characteristics of Cellular Automata are detailed. Designing a system with a set of agents allows the modeler to focus on the interactions between entities. This type of modeling is more natural than a classical mathematical approach at the population’s scale. Finally, a case study is presented. This case study is designed with a freely available tool developed at the University of Brest (France) based on a multi-agents engine with Cellular Automata facilities.
Human gelatin-based composite hydrogels for osteochondral tissue engineering and their adaptation into bioinks for extrusion, inkjet, and digital light processing bioprinting
Authors: Bedell Matthew L , Torres Angelica L , Hogan Katie J , Wang Ziwen , Wang Bonnie , Melchiorri Anthony J , Grande-Allen K Jane , Mikos Antonios G 
Published: August 2022

Abstract
The investigation of novel hydrogel systems allows for the study of relationships between biomaterials, cells, and other factors within osteochondral tissue engineering. Three-dimensional (3D) printing is a popular research method that can allow for further interrogation of these questions via the fabrication of 3D hydrogel environments that mimic tissue-specific, complex architectures. However, the adaptation of promising hydrogel biomaterial systems into 3D-printable bioinks remains a challenge. Here, we delineated an approach to that process. First, we characterized a novel methacryloylated gelatin composite hydrogel system and assessed how calcium phosphate and glycosaminoglycan additives upregulated bone- and cartilage-like matrix deposition and certain genetic markers of differentiation within human mesenchymal stem cells (hMSCs), such as RUNX2 and SOX9. Then, new assays were developed and utilized to study the effects of xanthan gum and nanofibrillated cellulose, which allowed for cohesive fiber deposition, reliable droplet formation, and non-fracturing digital light processing (DLP)-printed constructs within extrusion, inkjet, and DLP techniques, respectively. Finally, these bioinks were used to 3D print constructs containing viable encapsulated hMSCs over a 7 d period, where DLP printed constructs facilitated the highest observed increase in cell number over 7 d (∼2.4×). The results presented here describe the promotion of osteochondral phenotypes via these novel composite hydrogel formulations, establish their ability to bioprint viable, cell-encapsulating constructs using three different 3D printing methods on multiple bioprinters, and document how a library of modular bioink additives affected those physicochemical properties important to printability.