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This study aims to explore the role of digital-based operational innovation in enhancing the competitiveness of Micro, Small, and Medium Enterprises (MSMEs) in Indonesia. The background lies in the growing need for MSMEs to adapt to technological advancements in order to maintain their existence and improve business performance amid increasingly intense competition. Using a qualitative approach with a literature review method, data were collected from various credible academic sources published within the last five years (2019–2024), including journals, institutional reports, and relevant literature. The findings reveal that the adoption of technologies such as digital point-of-sale (POS) systems, cloud-based inventory management, and Customer Relationship Management (CRM) significantly contributes to operational efficiency, market expansion, and service quality improvement. However, the digitalization process among MSMEs still faces several challenges, including low digital literacy, limited infrastructure, and inadequate access to training. In conclusion, the success of MSME digital transformation heavily depends on the collaboration between business actors, government, academia, and other stakeholders to build an inclusive and sustainable digital ecosystem.

Indonesia has around 3,500 species of therapeutic plants, one of which is utilized by the individuals of Selilau Town, Aru Islands Rule, Maluku Area.. This study aims to examine 15 types of medicinal plants that are used traditionally, including plant parts, properties, active compound content, and pharmacological activity based on scientific literature from the last 10 years. This survey points to recognize species of restorative plants commonly utilized in neighborhood conventional medication, look at the plant parts utilized, handling strategies, and maladies treated based on neighborhood experiences and to survey logical writing to decide the dynamic compound substance and pharmacological movement of each distinguished plant. The comes about of the think about appeared that the foremost broadly utilized plant is the leaf portion. Some of them are: Momordica charantia (bitter melon) for cough; Urena lobata (pulutan) to smooth postpartum blood; Morinda citrifolia (mengkudu) for broken bones; Erythrina variegata (dadap) for body recovery; Myrmecodia pendens (ant nest) for swelling and beriberi; and Carica papaya (papaya) for malaria. Other plants such as Manihot esculenta, Tradescantia spathacea, Graptophyllum pictum, Hemigraphis alternata, Mimosa pudica, Jatropha curcas, Psidium guajava, Nypa fruticans, and Stachytarpheta jamaicensis are also used for various health complaints. Active compounds such as flavonoids, alkaloids, tannins, and saponins support pharmacological activities such as anti-inflammatory, antioxidant, antipyretic, gastroprotective, and immunostimulant. This study emphasizes the importance of documenting traditional knowledge as an effort to preserve and develop local wisdom-based medicines.

This article examines the roles and applications of various types of psychological tests in personality assessment, particularly contrasting projective tests with objective tests. Psychological tests are not intended to determine pass or fail outcomes, but rather to gain a deep understanding of an individual’s psychological aspects. Projective tests, such as the Rorschach Inkblot Test and the Thematic Apperception Test (TAT), are utilized to reveal latent personality traits through ambiguous stimuli. In contrast, objective tests like the Minnesota Multiphasic Personality Inventory (MMPI) and the Edwards Personal Preference Schedule (EPPS) are designed to produce consistent and quantifiable data. This study employed a library research method, reviewing both primary and secondary sources to provide a comprehensive overview. In counseling practice, the choice of psychological test depends on the assessment goals and the client's conditions. The article emphasizes the necessity for professional competence and ethical considerations, including cultural sensitivity and the ability to accurately interpret test results.

The rapid development of the business world has driven increased complexity in competition, particularly in the retail sector which has experienced significant growth in various regions, including Tuban. In this context, the partnership between suppliers and department stores (toserba) becomes a strategic aspect that plays a crucial role in maintaining business continuity, operational efficiency, and customer satisfaction. This study aims to analyze the patterns of relationships between suppliers and department stores in Tuban, as well as to identify factors that support the success of such partnerships and their impact on operational performance and customer satisfaction. Using a qualitative descriptive approach based on library research, data were collected from various secondary sources such as scientific journals, books, and relevant publications. The results indicate that effective partnership relationships are characterized by open communication, high trust and commitment, close collaboration, and adaptation to digital transformation. Furthermore, a solid partnership between suppliers and department stores contributes to improving supply chain efficiency, reducing logistics costs, optimizing inventory management, and enhancing customer satisfaction through product availability and responsive service. This study provides valuable contributions to formulating sustainable collaborative strategies for local retail businesses to face increasingly competitive markets.

This research aims to implement the K-Means Clustering algorithm in clustering patterns of goods demand in the inventory management system at PT Semen Padang. With the development of industrial technology and the need for an efficient inventory management system, this research identifies problems faced by the company, such as manual records that are prone to errors and delays. The developed web-based system allows real-time data integration, automation of the goods request process, and analysis of demand patterns using the K-Means algorithm. The results show that the implementation of this system can improve the efficiency of inventory management, minimize recording errors, and support better decision-making in the procurement of goods.

The purpose of this research is to design a basic food sales information system at Misman Store to assist the performance of Store employees in processing data and selling basic necessities which still use a manual recording system in managing stocks and transactions in the store, which causes inefficiencies in monitoring inventory of goods. Research using qualitative methods with data collection techniques through observation, interviews, and literature studies. The results of the study, among others, make it easier for employees at misman shops to complete the main tasks of selling goods such as data management to be easier, more efficient, and effective with this system. sales and sales transaction reports. The designed web-based information system has several main features such as system login, dashboard, item category management, inventory management, and transaction recording and reporting. This system is designed to improve the efficiency of store operations and facilitate the management of goods data and sales transactions.

This study aims to analyze the optimization of seaweed seedling inventory management using the Economic Order Quantity (EOQ) method to enhance cost efficiency for farmers in Tarakan City. The research employs a quantitative descriptive approach, integrating EOQ with forecasting techniques (Moving Average and Exponential Smoothing) to predict raw material needs accurately. Data were processed using Microsoft Excel and POM-QM for Windows to ensure precision. The results indicate that EOQ yields an optimal order quantity of 878 ropes per order, with a frequency of 6 orders per year, a reorder point of 16 ropes, and a total inventory cost (TIC) of IDR 842,681. Compared to traditional methods (TIC IDR 2,132,083), EOQ reduces costs by 60.5%. Forecasting analysis reveals that Exponential Smoothing (MAPE 19.67%) outperforms Moving Average (MAPE 22.5%) in accuracy. These findings highlight EOQ’s effectiveness in minimizing waste, preventing stockouts, and improving productivity. The study provides practical insights for coastal small-scale farmers and policymakers in the marine sector.

The inventory of medicinal plants involves collecting and organizing data regarding natural resources for resource management planning and serving as a database to reveal the potential of plants in a given area. This study aims to inventory the types of medicinal plants found in the home gardens of the residents of Negeri Latu, Amalatu District, West Seram Regency. The data collection methods employed were exploration and descriptive surveys. The gathered data was subsequently analyzed to identify the benefits or uses of the plants based on relevant literature. The results indicate that 57 species of medicinal plants were found in the home gardens of the residents of Negeri Latu. These plants possess various properties, including antidiabetic, antimalarial, anti-inflammatory, antioxidant, anticholesterol, anticancer, antidysentery, analgesic, antipyretic, and mosquito-repellent effects. This finding highlights the significant potential of home gardens in Negeri Latu as a rich natural resource of medicinal plants. The diversity of plant species reflects the local traditional knowledge of utilizing flora as a natural solution to various health issues.

This research discusses the settlement of Sultan Ground (SG) and Pakualaman Ground (PAG) land controlled by the community based on the principle of people's sovereignty. The special status of the Yogyakarta Special Region (DIY) grants the Sultanate and Pakualaman Duchy the authority to manage SG and PAG land. However, in practice, the inventory process of these lands has led to legal issues, particularly concerning ownership and the rights of communities that have long occupied the land. This study employs normative legal research methods with statutory and conceptual approaches. The sources of data include primary, secondary, and tertiary legal materials. The findings indicate a dualism in agrarian law between the Basic Agrarian Law (UUPA) and the Yogyakarta Special Region Law, which results in legal uncertainty for communities that have long inhabited SG and PAG land. The study concludes that the community's rights over SG and PAG land before the inventory process can be based on the magersari and anggaduh principles, which are recognized in customary law. However, the lack of legal recognition within the national legal system causes communities to lose rights over the land they have utilized for generations. Therefore, a legal solution that accommodates the principle of people's sovereignty is needed to resolve land disputes in Yogyakarta, ensuring legal certainty and justice for the community.

The supply chain is a network of companies that work together to produce and deliver products to end users. UMKM Getuk Lindri Bu Umi has problems related to the management of cassava raw material inventory used in Getuk Lindri production, namely the supply of raw materials, storage of raw materials, and product marketing. The purpose of this study is to analyze the supply chain management (SCM) used by MSMEs in carrying out their production processes to be effective and efficient in achieving predetermined goals. The method used in this research is a qualitative method carried out as much as observation and direct observation of MSME owners. The solutions offered include establishing communication with suppliers or adding new suppliers who are more cooperative, collaborating with universities to get better storage technology.

This study aims to explore the role of metacognitive awareness in improving the speaking performance of hospitality vocational students. Using a mixed-methods design, this study involved 50 students of the Prasetiya Mandiri Polytechnic and combined quantitative data from the adapted Metacognitive Awareness Inventory (MAI) as well as role-play-based speaking tests, with qualitative data from in-depth interviews. The results of correlation analysis showed a significant positive relationship (r = 0.65) between metacognitive scores and speaking performance. The most dominant metacognitive strategies reported by students included self-monitoring during speaking and post-task reflection. These findings reveal that students with high metacognitive awareness tend to be able to manage their communication more effectively in professional situations. Research implications include the importance of integrating metacognitive training in vocational curricula, such as through reflective journals and communication strategy guides. The study also highlights a curriculum gap, where only 32% of respondents reported having received explicit training related to metacognitive strategies. Limitations include small sample sizes, so it is recommended that follow-up studies be conducted longitudinally and across institutions.    

Currently, MD Drafika faces challenges due to a lack of proper inventory management, such as safety stock regulations and reorder schedules. This has led to inventory levels that often fail to meet customer demand. The objective of this research is to optimize inventory costs at MD Drafika to enhance cost efficiency. This study employs a descriptive quantitative method, utilizing data collected through observation and interviews to explain the relevant aspects of the research object. The results of the research reveal an optimal order quantity and a reduction in inventory costs. Inventory optimization was achieved by adjusting safety stock levels and reorder points. The calculations for 2023 showed an optimal order quantity of 3,349 pieces, with four purchasing cycles within the period. The safety stock was determined to be 945 pieces, and the reorder point was 992 pieces. The cost difference between the EOQ method and the company’s current approach amounted to IDR 1,179,928.

This study aims to analyze the Pareto distribution of stock quality in 16 Apotek Kimia Farma outlets in Southeast Sulawesi during the period of January to October 2024, with a focus on inventory management based on ABC analysis. The research employed a descriptive quantitative design with a longitudinal (time series) approach, involving descriptive, trend, comparative, and correlation analyses to evaluate stock distribution and its stability. The findings show that, overall, the stock distribution in Kimia Farma outlets follows the Pareto principle, with category A accounting for an average of 73-86% of total sales value. However, significant variations were found across outlets, with outlets such as KF 004 and KF Hasanuddin Kendari showing high stability in category A distribution, while outlets like KF BULOG and KF Kolaka exhibited greater fluctuations. Seasonal patterns were also identified, with a decrease in category A percentages in April-May and October. Based on these findings, optimizing inventory management strategies based on Pareto distribution can enhance stock management efficiency, with recommendations to focus on category A, conduct regular evaluations of categories B and C, and adjust for seasonal patterns. This study suggests the implementation of more flexible inventory management strategies for each outlet to improve operational efficiency and customer service.

Software testing is a crucial stage in the development of information systems to ensure that applications can function according to user needs. System feasibility testing using UAT is intended to ensure that the system meets the functional requirements specified by the users. This study aims to apply UAT to a financial and inventory management information system used to manage various operational needs of the company, such as inventory recording, expense and income reporting, and employee wages. The UAT process is conducted by the system’s end-users, consisting of 16 respondents, including employees and the owner of CV. Nitah Tirta Makassar. The testing methodology includes several stages: UAT planning, preparing test questions through a Google Forms (gforms) questionnaire, conducting the tests, and analyzing the test result calculations. The results of this study indicate that the financial and inventory management information system meets user needs, based on UAT questionnaire score calculations that achieved an average interpretation score above 87% with a "very good" rating. With the implementation of UAT, it can be concluded that the financial and inventory management information system meets the users' requirements.

This study analyzes the management of facilities and infrastructure at SMP Negeri 35 Medan in an effort to improve education quality. The research employs a qualitative descriptive approach, with data collected through observations and interviews conducted at the school. Observations focus on assessing the condition of classrooms, laboratories, libraries, and supporting infrastructure, while interviews with key informants, including a science teacher and the vice principal for facilities, provide deeper insights into the management and challenges of school infrastructure. The findings indicate that although the school meets the minimum facility standards as stipulated in Government Regulation No. 19 of 2005, several challenges remain, including budget constraints, lack of facility maintenance by students, and limited human resources. To optimize facility usage, the school needs to implement strategies such as regular maintenance, budget optimization through external collaborations, enhancement of the digital inventory system, and strengthening Standard Operating Procedures (SOPs). Additionally, integrating technology in learning and increasing student awareness of facility maintenance are crucial solutions. By implementing these recommendations, facility and infrastructure management is expected to become more effective, creating a more comfortable and supportive learning environment for both students and educators.

This study aims to analyze the efficiency of raw material inventory control for bread products at Rejeki Bakery in Mijen, Semarang, and to examine the application of the Material Requirement Planning (MRP) method in optimizing raw material inventory costs. The research employs a quantitative approach using secondary data as the main source. The data analysis technique utilized in this study is the Material Requirement Planning (MRP) method, which includes three inventory control techniques: Lot For Lot (LFL), Economic Order Quantity (EOQ), and Period Order Quantity (POQ). Each method was analyzed to determine the most efficient inventory cost. The results show that the raw material inventory cost using the Lot For Lot (LFL) method is Rp 2,400,000.00, the Economic Order Quantity (EOQ) method results in an inventory cost of Rp 2,992,600.00, while the Period Order Quantity (POQ) method incurs a cost of Rp 6,924,800.00. Additionally, the current raw material inventory cost under Rejeki Bakery’s management policy is Rp 2,681,600.00. Based on these findings, the implementation of the Material Requirement Planning (MRP) method at Rejeki Bakery in Mijen, Semarang, has demonstrated its effectiveness in improving the efficiency of inventory management. Among the three techniques analyzed, the Lot For Lot (LFL) method proves to be the most cost-effective, as it minimizes excess inventory while ensuring that production needs are met. This study highlights the importance of selecting an appropriate inventory control method to optimize costs and enhance operational efficiency in bakery production.

In facing fluctuations in the demand for spare parts at PT. SUN STAR MOTOR SURABAYA to avoid shortages that could disrupt its business operations, the company must ensure it can meet customer demands for specific items or orders. This means the company will lose an opportunity to earn profits. Before applying Safety Stock, Reorder Point, Economic Order Quantity, Maximum Inventory, and Total Inventory Cost, the company frequently faced spare parts stock shortages. To solve this issue, Safety Stock, Reorder Point, Economic Order Quantity, Maximum Inventory, and Total Inventory Cost are applied to determine order quantity, order time, and inventory levels for reordering. The results from inventory calculations can help determine the optimal spare parts needs for the company.

KUD Plongkowati Timur is located at Jalan Godong-Karangrayung, Grobogan Regency, which apart from operating in the savings and loan business unit, is also a distributor of fertilizer products produced by PT. Petrokima Gresik and PT. Pupuk Sriwidjaja Palembang. In running the fertilizer distributor business unit at KUD Plongkowati Timur, the process of recording purchase and sales transactions is not carried out using an integrated system in the database, all data is still recorded conventionally by the administration section, while the administration section's computer functions to create reports which are copied from notes provided by cashier so that data security is not guaranteed because the database is not yet integrated. Based on the problems that exist in the East Plongkowati KUD, the author would like to propose a design of a Fertilizer Inventory application system to be taken into consideration in helping speed up the process of recording purchase and sales transactions and can provide the information needed by the East Plongkowati KUD, Grobogan Regency in the form of purchase reports, sales reports, reports. suppliers, customer reports. So the design of the fertilizer inventory information system uses the Microsoft Visual Basic 6.0 programming language with a database from Microsoft Access 2007 and the design of reports from Crystal Report 7. It is hoped that making this application can be one of the efforts that can be made to overcome problems that often occur so that it can increase work effectiveness which of course will have an impact on improving the quality of service to customers.

Ambarawa Regional General Hospital (RSUD) is a Public Service Agency Regional (BLUD) belonging to Semarang Regency which operates in the field of public health services. Ambarawa Regional Hospital is located at Jalan Kartini No. 101 Ambarawa. So far, inventory data processing. At the Ambarawa Regional General Hospital (RSUD) it is still processed manually, there are several problems. What often arises is not knowing the depreciation value of goods each month, not yet applying it database system and low inventory data security system. The author used 3 research methods for data collection in this research, namely observation, interviews and literature study. The observation method used by the author is by carry out direct practice on problems that occur. Interview conducted by the author with the employees concerned, while in the literature study the author looked for related literature with research and used as a theoretical basis. From the analysis and research results, it can be seen that the solution to the problem above is: create an Inventory Data Recording Information System that uses a programming language Microsoft Visual Basic 6.0 and Microsoft SQL Server 2000 database processing system. Procedures will consist of p5 main parts, namely inventory data collection, room data collection, inventory item placement transactions, inventory item mutation transactions and line method depreciation straight. This system is expected to increase the effectiveness of inventory data processing in hospitals Ambarawa Regional General Hospital (RSUD).    

This study aims to analyze the effectiveness of implementing Accurate accounting software in financial report management at PT. XYZ). Accurate is utilized to enhance operational efficiency, recording accuracy, and real-time financial reporting. The findings reveal that the use of Accurate reduces recording errors and accelerates the financial reporting process. Integration features across modules such as purchasing, sales, and inventory improve interdepartmental data consistency. Additionally, Accurate helps the company comply with Indonesian Financial Accounting Standards (PSAK) and tax regulations through automated reporting. Key success factors include adequate employee training and feature customization tailored to the needs of manufacturing companies. This study concludes that technology-based accounting software not only improves financial data accuracy but also supports better strategic decision-making for management.