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The purpose of this study was to obtain data on irrigation assets in the Grojogan irrigation network at this time, to analyze the performance conditions of the Grojogan Irrigation Network system (very good, good, less or poor), to obtain the results of the Grojogan irrigation system performance index from the results of the performance assessment using the ePAKSI application. The results of the irrigation asset management inventory include the main building consisting of 1 dam. The carrier channel consisting of a secondary channel of 1.71 km and a tertiary channel of 2.62 km. The building on the carrier channel consisting of 5 regulatory buildings and complementary buildings (4 culverts, 2 waterfalls, 6 inlets, 1 side spillway building, and 4 bridges). The performance conditions of the irrigation system are included in the Poor Performance (J) criteria so that immediate attention and handling are needed. The overall results of the Irrigation System Performance Index (IKSI) from the performance assessment of the main irrigation system and tertiary irrigation system are 51.18% (<55%)

This study is to develop a web-based inventory management information system for grocery merchants in order to speed up the stock recording process. The system is built according to the waterfall style of system development, using PHP and MySQL. Data collection techniques include observation, interviews, and literature research. As a result, store managers can improve operating efficiency and reduce errors in manual stocktaking by using a system that allows real-time product stock input, updating, and monitoring. This study provides a practical digital solution to support the digitization of small businesses in Indonesia.

Manual transaction and stock recording at Ubay Galon causes various issues, such as data loss, record inaccuracies, and lack of real-time access. This study aims to design and develop a web-based sales information system to improve operational efficiency and data accuracy. The research was conducted at Ubay Galon, South Tangerang, using the Waterfall development method. Data collection techniques include observation, interviews, and literature studies. The system was designed using UML and implemented with web technologies. The result is a sales information system that records transactions, manages inventory, and generates automatic and real-time reports. The system also enhances data security with login and automatic backup features. In conclusion, the system effectively supports the digital transformation of Ubay Galon's business processes.

Stockpiles are accumulations of materials such as coal or ore stored at specific locations. Accurate stockpile volume measurement is crucial in the mining and logistics industries for inventory management and cost efficiency. Conventional methods like Real-Time Kinematic (RTK) GPS rely on surface coordinate measurements but require numerous points, especially for irregular-shaped objects. Newer technologies like Terrestrial Laser Scanners (TLS) offer high-precision alternatives by capturing thousands of points per second, expediting and enhancing the resolution of volume measurements. This study compares TLS and RTK GPS methods in measuring the volume of andesite rock stockpiles at PT Bara Tabang. This research uses a quantitative approach, involving six Ground Control Points (GCPs) measured using the Sokkia GRX2 RTK GPS on October 24, 2024. TLS generated over 8.6 million point cloud data filtered down to 35,197 points, while RTK GPS yielded 2,276 coordinates. Accuracy testing showed very small RMSE values (RMSEr: 0.008 m; RMSEz: 0.007 m), and both LE90 and CE90 demonstrated 90% confidence within a 0.012 m range. Volume calculation using Surpac software with the cut and fill method showed TLS produced a volume of 18,766 bcm (51,982 tons/m³), while RTK GPS resulted in 18,694 bcm (51,782 tons/m³), with a difference of 72 bcm or 0.211%.These results indicate that both methods offer acceptable accuracy; however, TLS provides greater data density, efficiency, and precision, particularly for complex or large-scale stockpile objects. Therefore, TLS is recommended for high-accuracy volume measurement in mining operations that require efficiency and detailed analysis.

This study aims to examine the storage and arrangement system of facilities and infrastructure implemented at SMPN Nuris as an effort to improve the effectiveness of the learning process and the efficiency of school management. Well-managed facilities and infrastructure can create a safe, comfortable learning environment that supports the achievement of educational goals. The research method used is a qualitative descriptive approach with data collection techniques including observation, interviews, and documentation. The findings show that although SMPN Nuris has a relatively structured system of storage and organization, there are still several challenges such as limited storage space, lack of regular maintenance, and minimal use of technology in inventory management. This study offers recommendations for improving the management system of facilities and infrastructure to support better school governance.

Economic Order Quantity (EOQ) is one of the methods in inventory management used to determine the optimal order quantity to minimize total inventory costs, which include ordering costs and storage costs. This study aims to analyze the application of the EOQ model in managing inventory in a company. By using data on raw material usage, ordering costs, and storage costs, the results show that the application of EOQ can optimize the amount of purchases and order frequency more efficiently. The results of the analysis show that the application of the EOQ model contributes to reducing operational costs and increasing the effectiveness of stock management. Therefore, EOQ can be used as an appropriate inventory management strategy to support the efficiency and productivity of the company. Economic Order Quantity (EOQ) in controlling coffee inventory at the Suteki Medan Coffee Shop to minimize total inventory costs. The EOQ method is used to determine the optimal order quantity with the most efficient cost, as well as considering safety stock, reorder point, and total inventory cost.    

Inventory management of raw materials is a crucial aspect in the manufacturing industry, particularly in the pharmaceutical sector, as it directly affects the continuity of the production process. This study aims to analyze the raw material inventory accounting system in inventory control at PT Bernofarm Pharmaceutical Company. The methods used include direct observation of operational processes and interviews with management to obtain relevant and accurate data. The results of the study show that PT Bernofarm has implemented an integrated accounting information system within an ERP framework, covering procedures for raw material requisition, issuance, return, and recording of production costs. Each procedure is systematically arranged with clear task separation and is fully computerized. This facilitates internal control and monitoring of raw material flow, while minimizing recording errors. With this effective system, the company is able to avoid both overstocking and stock shortages that could disrupt production. This study is expected to serve as a reference for improving the efficiency and accuracy of raw material inventory management in other pharmaceutical companies.

This research investigates the implementation of stock opname procedures in the General Affair warehouse at PT Bernofarm Pharmaceutical Company, a major pharmaceutical manufacturer. The study responds to the problem of discrepancies in inventory data, which can disrupt operations due to inaccurate recording or delays in documentation. The objective is to analyze the effectiveness and structure of stock opname procedures in controlling non-productive inventory. A qualitative descriptive method was employed, utilizing observation and interviews with Accounting and General Affair warehouse staff to collect primary data. The findings reveal that stock opname at PT Bernofarm is conducted periodically through coordinated stages: scheduling, preparation of inventory data, physical inspection, data reconciliation, reporting, and inventory adjustment. The procedures are carried out collaboratively between the Accounting and General Affair divisions, with clearly defined responsibilities and documentation such as stock cards, credit memos, and goods receipts. Despite a difference in theoretical and practical implementation—where inventory recording is managed by warehouse staff rather than accounting—the presence of functional segregation and supervisory checks ensures effective internal control. The study concludes that a structured and consistent stock opname process improves data accuracy, minimizes discrepancies, and enhances accountability. This research is limited to non-productive inventory in a single company division, and further studies are suggested to explore digital solutions or comparative analyses across industries.

Makmur Jaya is a company engaged in the production of snacks and faces challenges in controlling raw material inventory, such as inaccuracy in the number of orders and high storage costs. This study aims to apply the Economic Order Quantity (EOQ) method to improve efficiency in inventory management. The EOQ method is used to determine the optimal number of orders that can minimize the total cost of inventory, including ordering and storage costs. The results of the analysis show that the implementation of EOQ is able to significantly reduce the total cost of inventory compared to the conventional method that has been used by the company. In addition, EOQ also provides benefits in scheduling raw material orders more efficiently and systematically. Thus, the application of the EOQ method is an effective strategy in improving the efficiency of raw material inventory control in Makmur Jaya.

This study aims to philologically examine the Simalungun script manuscript containing the early history of Simalungun. This manuscript is one of the important sources in understanding the history, culture, and identity of the Simalungun people from a traditional perspective. This study uses a philological approach by implementing several stages, namely inventory, physical description of the manuscript, transliteration into Latin letters, translation into Indonesian, and content analysis. Through this method, the content of the text can be revealed in depth to reconstruct historical information and cultural values contained in the manuscript scientifically. This research is important to do considering that the existence of Simalungun script manuscripts is increasingly rare and has not received much special scientific attention. The results of the analysis show that the manuscript contains a narrative about the origins of the Simalungun people, including the story of ancestral migration, the formation of clan areas, traditional leadership systems, and cultural values that are passed down from generation to generation. In addition to being a historical document, this manuscript also reflects the identity and outlook on life of the Simalungun people in the past. Through this philological study, the manuscript was successfully reconstructed and interpreted scientifically so that it can become an important source in preserving culture and strengthening regional script literacy.  

Economic Order Quantity (EOQ) is one of the methods in inventory management used to determine the optimal order quantity to minimize total inventory costs, which include ordering costs and storage costs. This study aims to analyze the application of the EOQ model in managing inventory in a company. By using data on raw material usage, ordering costs, and storage costs, the results show that the application of EOQ can optimize the amount of purchases and order frequency more efficiently. The results of the analysis show that the application of the EOQ model contributes to reducing operational costs and increasing the effectiveness of stock management. Therefore, EOQ can be used as an appropriate inventory management strategy to support the efficiency and productivity of the company. Economic Order Quantity (EOQ) in controlling coffee inventory at the Suteki Medan Coffee Shop to minimize total inventory costs. The EOQ method is used to determine the optimal order quantity with the most efficient cost, as well as considering safety stock, reorder point, and total inventory cost.  

Meatballs are one of the popular processed meat products, easy to find, and liked by the public. Meatballs can also be stored for a long time, so business actors do not need to worry about the quality of the meatballs being damaged, so the production and operational processes need to be carried out properly. The high demand for meatball orders occurs on certain days, the stock of meatballs tends to be less than satisfactory. The purpose of this community service is to provide an understanding to UD. Hani Jatirejo so that they can control product stock, so that consumer demand for products can be met. The methods used in this training are the Preparation Stage, the Implementation Stage, and the Evaluation Stage. The results of this service are the implementation of visits and observations on the operation and production of meatball making, as well as the provision of product stock control counseling in meeting the number of customer requests UD. Hani Jatirejo.

Micro, Small, and Medium Enterprises (MSMEs) play a vital role in supporting regional economic development. However, inefficient inventory management remains a significant challenge in operational effectiveness. This study aims to analyze raw material inventory control at Kebab & Burger Foursist MSME in Tarakan City using the Economic Order Quantity (EOQ) and Reorder Point (ROP) methods. A descriptive quantitative approach was employed, utilizing annual sales data, ordering costs, and storage costs of main raw materials. The results indicate that the implementation of EOQ and ROP effectively determines the optimal purchase quantity and reorder timing, thereby minimizing total inventory costs and reducing the risk of stockouts or overstocking. The use of POM-QM for Windows software enhances the accuracy of the analysis. The implications of this study offer practical solutions for MSME actors in managing raw material procurement more efficiently and systematically.

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 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.

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.