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The Food & Beverage industry relies heavily on the availability and quality of fresh raw materials, making inventory management crucial. This study aims to analyze the implementation of the First-In, First-Out (FIFO) method in inventory management at PT K Hospitality Investment. The research design used a case study. Data were collected through interviews, observation, and documentation, then analyzed descriptively and qualitatively to assess the implementation of the FIFO inventory method in inventory management. The results show that PT K Hospitality Investment adopts a strict chronological inventory system and issuance of goods based on the order of entry. The use of FIFO inventory is often supported by the FEFO (First-Expired, First-Out) technique. Integrated inventory control has contributed to the financial stability of PT K Hospitality Investment. When properly implemented, the FIFO method not only helps reduce waste and increase efficiency, but also supports the company's operational sustainability. Although the implementation has been successful, the company still faces challenges such as limited infrastructure, a manual recording system, sudden changes in trends or guest order volumes, and delays in supplier deliveries.

Beauty salons are part of the growing creative services industry, yet they face various risks that can disrupt business continuity. This study aims to identify the types of risks, their causes, impacts, challenges, management strategies, and risk monitoring methods implemented by Nusa Bunga Salon in Maumere. The methods used included interviews, direct observation, and documentation. The results indicate that the salon faces operational, financial, marketing, and reputational risks. These risks are caused by factors such as inadequate employee skills, unstable income, intense competition, and customer complaints, which can result in service disruptions, decreased service quality, reduced customer numbers, and decreased revenue. Key challenges include an unstrategic location, limited workforce, fluctuating customer numbers, and rising material prices. To address these challenges, the salon implemented strategies such as home visits, utilization of social media, regulated employee working hours, and improved service quality. Risk monitoring is carried out continuously through operational supervision, customer satisfaction evaluations, inventory checks, and financial records. It was concluded that implementing sound risk management is crucial for maintaining business continuity. Therefore, it is recommended that salons continuously improve the quality of their human resources, financial management, marketing strategies, and service innovation

This research was conducted with the aim of developing an automation system for recording warehouse inventory based on Google Sheets to improve the effectiveness and efficiency of the stocktaking process at the Cresta Management warehouse. This research was based on problems in the semi-manual process that used logbooks and separate files for each group of goods, which caused problems such as data duplication, limited data access, lack of data transparency, and lengthy recapitulation process. This research used the Research and Development method using the ADDIE model (Analyze, Design, Develop, Implement, and Evaluate). Data were collected through observastion, interviews, questionnaires, and documentation. The result of this development is a system consisting of a login page, goods transcation recording, warehouse dashboard, stock reports, stock cards, and PDF report exports. This study also produced evaluation scores regarding the system’s feasibilty: 93,3% from the first media expert, 80% from the second media expert, 73,3% from the material expert, and 91,75% from users through User Acceptance Testing. These evaluation results indicate that the system is feasible for use and implementation in supporting warehouse operations, as it provides real time data updates, improves the efficiency of goods reporting, and enhances warehouse transactions.

This research aims to control the planning of inventory control of palm raw materials to obtain the optimal quantity of raw material orders at PT. Gruti Lestari Pratama in 2020. The method used in this research is the model of Period Order Quantity (POQ) method which is the development of the Economic Order Quantity (EOQ) method. The result of this research obtained an optimal order quantity using the POQ method in 2020 which is 7.563,08 tons. The frequency of ordering based on company policy is 314 times in a year, while using the POQ method the order frequency 23 times in a year. Where safety stock with POQ method of 2.702,50 tons and reorder point of 3.256,35 tons. Total inventory cost of palm raw material by using POQ method of Rp. 8.907.361.822 in a year. Overall, this study shows that the application of the POQ method in controlling palm oil raw material inventory at PT. Gruti Lestari Pratama provides optimal results in reducing order frequency, saving costs, and ensuring timely raw material availability. The results of this study can serve as a basis for the company to implement a more efficient and effective inventory control system, supporting smooth production at a more affordable cost.

This study aims to redesign the raw material yarn warehouse layout at PT. XYZ using the Class Based Storage method to improve storage and retrieval efficiency. The main problem identified in the warehouse is random item placement, resulting in relatively long retrieval times of approximately 10–15 minutes per pallet. This research applies a descriptive quantitative approach using a case study method. The data used consists of inbound, outbound, and inventory records of yarn raw materials from November 2024 to April 2025. The analysis was conducted using the FSN (Fast Moving, Slow Moving, and Non-Moving) method through the calculation of consumption rate and average stay, combined with ABC classification to determine storage priority. The results show that 9 types of yarn are classified as Class A, 11 types as Class B, and 11 types as Class C. Based on this classification, a new warehouse layout was designed by placing Class A items near the input-output area, Class B items in the middle area, and Class C items in the back area of the warehouse, thereby improving storage efficiency and reducing retrieval time.

This study aims to redesign the raw material yarn warehouse layout at PT. XYZ using the Class Based Storage method to improve storage and retrieval efficiency. The main problem identified in the warehouse is random item placement, resulting in relatively long retrieval times of approximately 10–15 minutes per pallet. This research applies a descriptive quantitative approach using a case study method. The data used consists of inbound, outbound, and inventory records of yarn raw materials from November 2024 to April 2025. The analysis was conducted using the FSN (Fast Moving, Slow Moving, and Non-Moving) method through the calculation of consumption rate and average stay, combined with ABC classification to determine storage priority. The results show that 9 types of yarn are classified as Class A, 11 types as Class B, and 11 types as Class C. Based on this classification, a new warehouse layout was designed by placing Class A items near the input-output area, Class B items in the middle area, and Class C items in the back area of the warehouse, thereby improving storage efficiency and reducing retrieval time.

The lack of a systematic calculation approach makes it difficult for APR Nine to monitor fabric raw material inventory, resulting in raw material purchases still being based on habit and intuition. With a total inventory of 2,001 rolls and raw material usage of 1,803 rolls of fabric, there were seven times of excess stock and five times of shortage during the period of October 2024 to September 2025. The difference between the two was 198 rolls. This study uses the Economic Order Quantity (EOQ) method to analyze fabric raw material inventory control. This study uses a quantitative approach with descriptive analysis using data from the period of October 2024 to September 2025. The results of the study indicate that 1694 orders with an ordering frequency of 10 times, a safety stock of 29 rolls, and a reorder point of 35 rolls are the ideal quantities when using the Economic Order Quantity (EOQ) approach. Compared to the previous APR Nine approach, the application of the Economic Order Quantity (EOQ) method is more effective in reducing overall inventory costs from Rp. 5,011,949.35 to Rp. 4,508,824.67.

This study aims to identify and minimize waste in the process of procuring Food & Beverage raw materials at Hotel PXY Jasa Bali using the Lean Inventory Management approach. Observations over one month showed that the total procurement cost reached 47% of the total revenue, exceeding the ideal limit of 35%. One of the main causes is the inefficient and lack of synchronization between divisions in the Rhapsody platform, which causes waste in the form of defects, delays, over-processing, and transportation. This study uses the Value Stream Mapping (VSM) method to map actual conditions and Process Activity Mapping (PAM) to identify the type of activity based on the waste category. In addition, root cause analysis is carried out using the Root Cause Analysis (RCA) approach. The mapping results showed that out of the total lead time of 598.44 minutes, only 278.49 minutes or 46.54% were value-added activities. This finding indicates that the procurement process is not yet efficient and needs optimization. Several recommendations were given to minimize waste, such as clearer division of tasks, improved communication with vendors, and the procurement of supporting facilities to reduce physical movement between divisions. The implementation of this lean service is expected to be able to increase the efficiency of the logistics process and reduce the company's overall operational costs.

This study aims to determine the effectiveness of using Problem Based Learning (PBL) oriented E-LAPD to improve students' metacognitive skills on chemical equilibrium material, especially on the sub-material of factors that influence chemical equilibrium shifts. This study was conducted at SMAS Hang Tuah 4 Surabaya class XII-2 as many as 25 students. The type of research used is research and development (R&D) with a 4-D model that was tested on a limited basis using a one-group pretest-posttest design. Scoring on the pretest-posttest uses N-gain (normalized gain) which aims to determine the increase in metacognitive skills through the results of students' pretest-posttest scores. The results showed that the N-gain value for each component of metacognitive skills, namely planning skills, monitoring skills, and evaluating skills, obtained values ​​​​sequentially, namely 0.85; 0.73; and 0.74 which are included in the high category, from the assessment shows that the use of PBL oriented E-LAPD is declared effective in improving students' metacognitive skills. This is supported by the results of the Metacognitive Awareness Inventory (MAI) questionnaire, which showed a percentage of planning skills of 82.43% with very good criteria, monitoring skills of 81.86% with very good criteria, and evaluating skills of 77.67% with good criteria. These results indicate that the MAI questionnaire can support pretest-posttest data to determine the improvement of metacognitive skills in students.

Micro, Small, and Medium Enterprises (MSMEs) play a vital role in driving economic growth; however, their production activities frequently face uncertainty in achieving predetermined targets. Such uncertainty arises from fluctuating market demand, delays in raw material supply, labor limitations, variations in processing time, and other technical constraints. Conventional deterministic production planning methods often fail to capture these real-world risks and variations, leading to less accurate and suboptimal decisions. Therefore, a more adaptive analytical approach that incorporates probability and uncertainty is required. This study aims to analyze the probability of achieving MSME production targets using the Monte Carlo Simulation method. This method models random production conditions by generating data based on probability distributions derived from historical records. Simulations are repeated through numerous iterations to estimate possible variations in production output and measure the likelihood of meeting targets. The results indicate that Monte Carlo simulation provides more realistic and comprehensive production forecasts compared to traditional planning approaches. By understanding both the probability of success and potential risks, MSMEs can design adaptive strategies, optimize resource allocation, manage inventory more effectively, and improve overall production planning accuracy to ensure long-term business sustainability in a dynamic environment.

Stock monitoring is a critical phase that must be performed regularly to maintain the accuracy and efficiency of inventory management. Continuous monitoring ensures that all items remain under proper oversight, thereby making stock management processes simpler, more controlled, and highly accurate. PT XYZ operates in the general contracting sector and provides a range of services, including land transportation, crude oil rental, heavy equipment and light vehicle rental, material supply, and well maintenance services. At present, stock monitoring at PT XYZ still relies on a general-purpose application designed solely for numerical calculations. This approach leads to several limitations in the current system, most notably the lack of a login feature and the requirement to recreate reports using a separate application. Based on these problems, this research aims to design a prototype of a stock monitoring information system at PT XYZ. The system is developed using the waterfall development model and documented using use case diagrams. The main output of this study is a prototype information system that allows users to change their own password, perform CRUD operations on data entities including users, items, categories, brands, units, vehicles, suppliers, incoming goods, and outgoing goods, generate various reports related to inventory/stock at PT XYZ.

Industri garmen memiliki proses produksi yang kompleks dan ketergantungan tinggi terhadap ketersediaan bahan baku. Penggunaan sistem yang belum terintegrasi sering menimbulkan ketidaksesuaian data persediaan, keterlambatan produksi, dan keterbatasan dukungan dalam pengambilan keputusan manajerial. Kondisi tersebut mendorong perlunya penerapan sistem informasi terintegrasi. Penelitian ini menganalisis penerapan Enterprise Resource Planning (ERP) yang terintegrasi dengan Material Requirements Planning (MRP) untuk mendukung manajemen produksi dan pengendalian persediaan bahan baku pada industri garmen. Penelitian menggunakan pendekatan kualitatif deskriptif melalui studi kasus dengan analisis perbandingan sistem berjalan (As-Is) dan sistem usulan (To-Be). Hasil penelitian menunjukkan bahwa integrasi ERP–MRP meningkatkan keterpaduan perencanaan produksi, perhitungan kebutuhan material, persediaan, dan pengendalian kualitas dalam satu sistem terpusat berbasis real-time. Penerapan MRP meningkatkan akurasi kebutuhan bahan baku sehingga menekan risiko keterlambatan produksi dan ketidaksesuaian stok. Secara keseluruhan, ERP–MRP berperan sebagai instrumen operasional sekaligus strategis dalam meningkatkan efisiensi dan daya saing industri garmen.

Business ventures are activities carried out by individuals or organizations involving the production, sale, purchase, or exchange of goods and services, with the aim of generating profit. A basic necessities store (commonly known as a “sembako” store in Indonesia) sells daily staple needs, especially the nine essential commodities (sembako), which include items such as rice, sugar, cooking oil, eggs, salt, and other key food ingredients. UD. Putri 2, located in Dusun 1A, Sumber Harapan Village (21261), Tinggi Raja Subdistrict, Asahan Regency, was established in 2018 and has since become an essential part of the local community. This has required UD. Putri 2 to constantly monitor their stock inventory. However, the company still faces inefficiencies in managing sales data processing, which often leads to inventory shortages. When the supply of goods is insufficient to meet customer demand, customers may turn to other stores. If this occurs repeatedly, the store risks losing profit due to the unavailability of goods. Supply Chain Management (SCM) refers to the integrated processes and production activities starting from the acquisition of raw materials from suppliers, the value-adding processes that turn raw materials into finished products, the inventory storage process, and the distribution of finished goods to retailers and consumers. The implementation of SCM can optimize inventory management of staple goods, minimize inventory costs, and improve supply chain efficiency at UD. Putri 2.

This community service activity was conducted at Grind Now Coffee Bar, an MSME in Batam City’s food and beverage sector, to address challenges in managing raw material inventory, which often led to inaccurate stock records, shortages, and overstocking, affecting daily operations and efficiency. The program aimed to improve inventory management by applying the Economic Order Quantity (EOQ) and Reorder Point (ROP) models, providing a systematic and measurable approach to procurement. Activities included detailed observation of operational practices, interviews with staff to understand current challenges, collection of data on raw material usage and purchasing patterns, and the implementation of a website-based inventory control system to streamline record-keeping and monitoring. The results showed that EOQ and ROP models helped determine optimal order quantities and appropriate reorder timing, while the inventory system improved organization, reduced errors, and enabled real-time stock monitoring. Overall, this intervention enhanced decision-making, promoted operational efficiency, and supported the sustainability and competitiveness of Grind Now Coffee Bar.

The phenomenon occurring in society regarding deeds of sale and purchase drawn up by land deed officials that contain material defects is certainly contrary to what is stipulated by law. Thus, the research questions are: What are the legal consequences of a material defect in a Deed of Sale and Purchase drawn up by a Land Deed Official? and How does a material defect in a Deed of Sale and Purchase drawn up by a Land Deed Official arise? In this study, the researcher uses Otto Jan Michael's theory of legal certainty and R. Soeroso's theory of legal consequences. The research method used in this study is normative juridical research janis, namely legal research with literature studies. The research approaches used are legislation, conceptual approach, analytical approach and case approach. The technique of collecting legal materials is by identifying and inventorying positive legal rules. Literature, journals and other sources of legal materials. For the analysis technique of legal materials, it is carried out by grammatical interpretation, systematic interpretation, analogy construction and legal refinement construction. The results of this study found the conclusion that the legal consequences of the sale and purchase deed being carried out unilaterally made before PPAT caused the sale and purchase deed to not have legal certainty. Although the sale and purchase deed was made formally by and before PPAT, the legal action contained a material defect, and was canceled by the court, there was also a legal relationship between the legal subjects, the cancellation showed legal certainty, but gave birth to a lawsuit due to unlawful acts, and the legal certainty of the sale and purchase deed made by PPAT contained material defects making PPAT not have binding legal force which resulted in unilateral The sale of land must be done by mutual agreement or known to both parties, in addition to having no legal force, the deed is canceled by the court. Thus, the cancellation of the sale and purchase deed contains a material defect in the court, providing legal certainty for matters that are not in accordance with the applicable provisions of the law.

This community service activity aims to improve the efficiency of inventory management at Zencha MSMEs through the design and implementation of a Standard Operating Procedure (SOP) and a spreadsheet-based inventory recording system. Prior to this program, Zencha MSMEs managed its inventory manually without written procedures, which often caused stock discrepancies, delays in restocking, and difficulties in monitoring raw material availability. The methods used in this activity included observation, interviews, SOP design, system socialization, and direct implementation assistance. The SOP was structured to regulate the process of receiving, recording, storing, and using raw materials, while the spreadsheet template functioned as a digital tool to record stock movements automatically. The results show that after the implementation, inventory management became more organized, transparent, and measurable. The business owner was able to monitor stock levels more accurately, determine restocking time more effectively, and reduce the risk of stock shortages. In addition, employees demonstrated better discipline in recording inventory according to established procedures. This program proves that the implementation of SOP and digital-based inventory recording can significantly improve operational efficiency and support the sustainability of micro and small enterprises.

The construction industry faces major challenges in managing material inventory, particularly among start-up companies that still rely on paper-based manual records. Such practices often lead to data inconsistencies, delays in decision-making, and project inefficiencies. This study aims to analyze the implementation of a cloud-based and real-time inventory management system utilizing spreadsheets at PT X, a start-up contractor located in Karanganyar, Central Java. The research employs a qualitative case study approach, with data collected through direct observation, semi-structured interviews with finance staff, logistics administration staff, and the project manager, as well as documentation of material inflows and outflows. The findings reveal that the use of cloud-based spreadsheets enhances data transparency, facilitates real-time monitoring between field and office, and accelerates stock opname validation. The system also supports more responsive decision-making regarding material reordering and request postponements. Nevertheless, several obstacles remain, including limited digital literacy among staff, potential input errors, and reliance on internet connectivity. Theoretically, this research contributes to the literature on accounting information systems and inventory management in small-scale construction sectors. Practically, it demonstrates that low-cost cloud solutions can improve operational efficiency and serve as a foundation for developing more integrated systems in the future.

Micro, Small, and Medium Enterprises (MSMEs) play a vital role in Indonesia’s economy. However, most business actors have not fully implemented proper inventory accounting in accordance with standards. This study aims to analyze the recognition, measurement, presentation, and disclosure of raw material inventories at Pabrik Super Jaya and evaluate their compliance with the Financial Accounting Standards for Micro, Small, and Medium Entities (SAK EMKM). This research employed a qualitative descriptive method with primary data obtained through observation, interviews, and documentation. The results indicate that inventory recognition is still manual, using notebooks without formal evidence. Measurement is based on raw material costs, labor, and daily expenses, without formal methods such as FIFO or average. Financial reporting is limited to a simple income statement without detailed inventory or notes to financial statements. Disclosure is limited to physical quantities and nominal values. Thus, Pabrik Super Jaya’s inventory practices are not fully aligned with SAK EMKM standards

The management and destruction of archives in state institutions is an important part of state administration that supports accountability and legitimacy in democratic governance. This research is motivated by a legal controversy regarding the destruction of registration archives for regional head candidates at the General Election Commission (KPU) of Surakarta, which was carried out without a Destruction Report and did not comply with the national archival retention schedule. The purpose of this research is to analyze the validity of the destruction of KPU archives in the context of Administrative Law and to identify the legal implications of deviations from archival procedures and substance. The research method used is normative legal research with a regulatory approach. The analysis is based on Law No. 43 of 2009 on Archives, Law No. 7 of 2017 on General Elections, PKPU No. 17 of 2023, and guidelines for Administrative Law. The results of the study show that the lawful destruction of KPU archives must meet material and formal requirements, such as compliance with the Archival Retention Schedule, inventorying of archives, written approval from ANRI, and the creation of a Destruction Report. Destruction of archives that does not meet these provisions can be annulled and weaken the accountability of the KPU.

This study aims to compare two methods of raw material inventory management, namely Economic Order Quantity (EOQ) and Periodic Order Quantity (POQ), in improving efficiency and reducing operational costs at Konveksi Arey Hijab. The main problem faced by this company is the irregularity in raw material inventory management, which causes wasteful costs, especially ordering costs and storage costs. Based on raw material purchase data in 2024, which recorded a total purchase of 26,203 kg with a total cost of IDR 1,834,573,300, this study uses a descriptive quantitative approach to compare the two methods. The results of the study show that the EOQ method produces lower inventory costs, namely IDR 16,568,074, compared to the POQ method. The application of the EOQ method can reduce the frequency of excessive ordering, while the POQ method is more effective for ordering periods that are adjusted to seasonal demand. This study recommends that Konveksi Arey Hijab adopt the EOQ method to optimize raw material inventory management, reduce wasteful costs, and improve the company's operational efficiency.