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Asset inventory management is vital for enhancing the operational efficiency of an organization. At the Communication and Informatics Office of Tegal Regency, the process for managing asset inventory is still performed manually, leading to various issues including challenges in asset documentation, data retrieval, management of borrowing, reporting damage, and overseeing the condition of assets. This research intends to create a web-based asset inventory management solution that leverages Quick Response (QR) Code technology to boost the effectiveness, efficiency, and precision of inventory management. The methodology employed for the system's development was Agile Development, which includes stages such as planning, analyzing requirements, designing the system, developing, testing, and conducting iterative evaluations. Data gathering was conducted through observation, interviews, and reviewing existing literature. The completed system offers several key features, such as inventory management, the ability to generate and scan QR Codes, processes for borrowing and returning assets, damage reporting, a monitoring dashboard, and management of user access based on roles.  The findings reveal that the implemented system enhances asset identification through QR Codes, delivers real-time inventory data, and enables more efficient monitoring of assets. According to Black Box Testing results, all functionalities of the system performed in alignment with the identified functional requirements. Consequently, the web-based asset inventory management system utilizing QR Code technology can act as a useful solution to enhance the asset inventory management quality at the Communication and Informatics Office of Tegal Regency.

This research was conducted at Toko Bangunan Jaya Perkasa. The purpose of this study is to determine whether the internal control system for inventory management in the observed company has been implemented effectively or not. This study uses a qualitative method with data source triangulation techniques, including observation, interviews, and documentation based on data collection and relevant facts. The research informants consisted of seven individuals. The results show that the internal control system at Toko Bangunan Jaya Perkasa has not been implemented optimally, and the inventory management is still vulnerable to risks and potential losses. This is due to the fact that the procedures for purchasing, storing, recording, and selling goods are still conducted manually. The company faces several problems such as stock discrepancies, damaged goods, and obstacles related to suppliers and customers. The suggestions provided include implementing a computerized system for inventory management in the future, conducting regular stock opname to minimize stock discrepancies, improving communication to avoid duplicate stock records, and establishing clear communication and agreements at the beginning of transactions to overcome external constraints.

This study aims to analyze the effect of artificial intelligence (AI)-based demand forecasting and big data analytics on inventory optimization through prediction accuracy among e-commerce actors or marketplace sellers in Curug. This research employed an explanatory quantitative approach involving 100 respondents selected through purposive sampling based on predefined criteria relevant to the research objectives. Data were collected using a structured Likert-scale questionnaire and analyzed using Structural Equation Modeling Partial Least Squares (SEM-PLS) by evaluating the measurement model, structural model, and mediation effects. The findings reveal that AI-based demand forecasting and big data analytics have a positive and significant effect on prediction accuracy. Furthermore, prediction accuracy has a positive and significant effect on inventory optimization and significantly mediates the relationship between AI-based demand forecasting, big data analytics, and inventory optimization. These findings indicate that the integration of AI and big data analytics contributes to more accurate demand prediction, leading to improved inventory management performance. The implication of this study suggests that e-commerce actors should improve data quality, analytical capability, and the adoption of predictive technologies to support more accurate, efficient, and responsive inventory decisions, thereby enhancing operational performance and competitiveness in responding to dynamic market demand.      

Electricity service quality depends not only on physical network expansion but also on the availability of accurate, traceable, and spatially integrated asset data. This study aims to formulate an infrastructure inventory plan for electricity distribution networks as a basis for optimizing electricity services in Musi Rawas Regency, Indonesia. A descriptive-technical approach was applied using administrative maps, spatial planning documents, distribution network maps, feeder single-line diagrams, January 2026 customer data, bill of quantity documents for electricity and public street lighting, and the planned network drawing for Mandi Aur Village. The results show that 14 target districts served approximately 101,932 customers, consisting of 78,564 postpaid and 23,368 prepaid customers. Tugumulyo, Megang Sakti, Muara Kelingi, and Muara Lakitan represented the largest customer concentrations and should be prioritized for detailed asset verification. The proposed inventory object includes medium-voltage lines, low-voltage lines, poles, distribution transformers, protection equipment, public street lighting, panels, and operation-worthiness documents. The inventory database should include unique asset codes, coordinates, feeder identity, specifications, physical condition, photographs, operational status, and follow-up actions. Spatial inventory is expected to improve maintenance planning, outage response, public lighting management, safety control, and evidence-based network development.

This study aimed to analyze the influence of workload and burnout on nurses’ sleep quality while controlling for age, gender, and education as potential confounding variables. A quantitative analytic study with a cross-sectional design was conducted among 156 nurses working in a private hospital in Depok City. Data were collected using a workload questionnaire, the Maslach Burnout Inventory (MBI), and the Pittsburgh Sleep Quality Index (PSQI). The data were analyzed using Chi-Square tests and multiple logistic regression. The findings showed that both workload and burnout had significant effects on sleep quality (p < 0.05), with burnout identified as the most dominant factor. Age and gender were also significantly associated with sleep quality, whereas education did not show a statistically significant effect. The regression model demonstrated excellent fit, indicated by a McFadden pseudo R² value of 0.908. These results suggest that occupational factors, particularly burnout, play an important role in determining nurses’ sleep quality. Therefore, effective stress reduction and workload management strategies are needed to support nurses’ well-being and improve sleep quality.

Drug logistics management is a critical component of pharmaceutical services that ensures the availability, quality, safety, and rational use of medicines. Inadequate logistics management may lead to stock shortages, overstocking, increased operational costs, and disruptions in healthcare services. This study aimed to analyze the drug logistics management system at Altara Simalingkar Clinic, encompassing planning, budgeting, procurement, receiving, storage, distribution, utilization, recording and reporting, as well as monitoring and evaluation. This study employed a descriptive qualitative approach. Data were collected through in-depth interviews, observations, and documentation involving a pharmacy assistant technician as the key informant directly responsible for the daily technical operations of drug logistics management. Data were analyzed thematically by comparing interview findings, observations, and supporting documents. The results showed that the drug logistics management system at Altara Simalingkar Clinic generally complied with pharmaceutical logistics management principles. Drug planning was based on previous utilization data, disease patterns, and evaluations of fast-moving and slow-moving medicines. Storage practices implemented the First Expired First Out  method, while recording and reporting activities were supported by a pharmacy management information system. However, three structural challenges were identified: delays in drug delivery from distributors, limited storage capacity that does not meet WHO Good Storage Practice standards, and discrepancies between physical stock and administrative records arising from the dual manual-digital recording system. To enhance the effectiveness and sustainability of pharmaceutical services, it is recommended to diversify distributors for critical medicines, fully digitize inventory recording through barcode implementation, and optimize storage infrastructure in accordance with applicable regulatory standards.

Student cooperatives in Islamic boarding schools are no longer merely understood as business units providing daily necessities, but have developed into socio-economic spaces that shape independence, trust, and Islamic entrepreneurship education among students. This study is motivated by the limited number of studies examining pesantren cooperatives as socio-religious processes that cultivate values of trustworthiness, responsibility, transparency, and cooperation in students’ daily lives. The study aims to explain the empirical practices of student involvement in cooperative management, the social relations formed through economic activities in pesantren, and their implications for Islamic entrepreneurship education and the strengthening of pesantren economic independence. This research employed a qualitative approach with a field study method conducted at Pondok Pesantren Modern Elfira 2 Purwokerto. Data were collected through observation, interviews with cooperative administrators and student managers, and documentation of financial reports and cooperative operational activities. The findings reveal that students are directly involved in managing goods inventory, customer service, digital financial recording, and the distribution of daily necessities within the pesantren environment. These practices foster values of trustworthiness, transparency, responsibility, and cooperation through supervision systems, work shift arrangements, and daily evaluations. In addition to strengthening the pesantren’s economy, the cooperative also functions as a medium for experiential Islamic entrepreneurship learning. This article contributes to the sociology of Islamic education by demonstrating that student cooperatives function as socio-economic laboratories that shape students’ independence, social trust, and Islamic entrepreneurial ethics within the everyday life of pesantren communities.

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.

The management of medicines and Medical Consumables (MCs) plays a crucial role in improving the quality of pharmaceutical services in hospitals. Common problems include stock imbalances, such as shortages and overstocking, which negatively affect service efficiency, increase operational costs, and raise the risk of product expiration. These issues are often caused by inadequate planning that is not based on consumption data, as well as limited knowledge of pharmacy personnel in applying appropriate inventory control methods.This community service activity aimed to improve the knowledge and skills of pharmacy staff in managing inventory using fast moving and slow moving methods based on real hospital data. The implementation method consisted of education, training, and hands-on mentoring conducted in several stages. The activity began with the analysis of medicine and medical consumables usage data from January to December 2025 at Labuang Baji Regional General Hospital, followed by training on pharmaceutical logistics management, and continued with practical exercises on classification and inventory control. Evaluation was carried out through discussions, case studies, and observation of participants’ ability to apply the methods.The results showed that 50.7% of medicines and 52.4% of medical consumables were categorized as fast moving, while the remaining items were classified as slow moving. After the intervention, there was a significant improvement in participants’ understanding of inventory classification, stock turnover analysis, and data-based planning. Participants were also able to identify items at risk of stock-outs and overstocking, enabling more appropriate control measures.This activity had a positive impact on the efficiency of pharmaceutical inventory management, reduced the risk of stock-outs and overstocking, and supported the improvement of healthcare service quality. Therefore, the fast moving and slow moving methods can be considered effective and applicable approaches for data-driven pharmaceutical inventory management in hospital settings

This study aims to examine the influence of inventory intensity, executive compensation, and sales growth on tax avoidance in non-cyclical consumer sector companies listed on the Indonesia Stock Exchange (IDX). This type of research is quantitative research using secondary data during the period 2020–2024. The sampling method used was purposive sampling, and the sample obtained consisted of 7 companies with 35 observation data points. Data processing was carried out using the E-Views 12 statistical program. Based on the results of this study, inventory intensity, executive compensation, and sales growth simultaneously affect tax avoidance. Partially, only executive compensation has an effect on tax avoidance, while inventory intensity and sales growth have no effect on tax avoidance. This study contributes to the development of accounting and taxation literature, particularly regarding the factors influencing corporate tax avoidance practices in the non-cyclical consumer sector. The findings indicate that executive compensation plays an important role in influencing managerial decisions related to tax avoidance, whereas inventory intensity and sales growth do not significantly determine tax avoidance practices individually. Therefore, companies are expected to improve governance and transparency in executive compensation policies to minimize opportunistic actions related to tax management. In addition, future researchers are encouraged to expand the research variables and increase the number of samples in order to obtain more comprehensive results regarding the determinants of tax avoidance.

Inventory management is a crucial aspect of business sustainability, particularly for Micro, Small, and Medium Enterprises (MSMEs) that often face limitations in data management and technological adoption. Selaras Muba Lestari is Incubation Center, which supports MSMEs in Musi Banyuasin Regency, encounters challenges in managing product inventory due to reliance on manual recording systems. This study aims to design and develop a web-based inventory application using the Laravel framework to improve the efficiency and accuracy of stock management. The research adopts the Software Development Life Cycle (SDLC) Waterfall model, which includes requirements analysis, system design, implementation, and testing. The results indicate that the developed system is capable of improving data accuracy, accelerating the recording process, and providing real-time inventory reports. Furthermore, this study reinforces previous findings that digitalizing inventory systems serves as a strategic solution to enhance the competitiveness of MSMEs.

This study examines the transportation management flow at PT Xpresindo Logistik Utama Medan Warehouse and its impact on delivery accuracy. The research method used a qualitative approach through direct observation and interviews with warehouse managers and operational staff. The results showed that the distribution flow from receiving goods from Jakarta to shipping to customers in Medan was quite effective, although it was still dominated by manual systems such as the use of Delivery Notes and Excel records. The use of the Monstra tracking application was not evenly distributed, so fleet movement information was not always updated in real time, especially when demand volume increased at the end of the month. To improve efficiency, the study recommended the implementation of a Transportation Management System (TMS), digitalization of barcode/QR code-based inventory processes, and a Key Performance Indicator (KPI) dashboard to monitor delivery timeliness and fleet utilization periodically.

Micro, Small, and Medium Enterprises (msmes) play an important role in supporting regional economic growth. However, business sustainability often faces various risks that may hinder the achievement of business objectives. This study aims to analyze the implementation of risk management at Valerie Bag's Boutique in Maumere, Sikka Regency. The research employed a qualitative descriptive method, with data collected through observation, interviews, and documentation. Data analysis was conducted through the stages of data reduction, data presentation, and conclusion drawing. The findings indicate that Valerie Bag's Boutique faces four main categories of risk: supply risk, operational risk, market risk, and financial risk. Market risk and financial risk are the most dominant due to intense business competition, rapidly changing fashion trends, inventory accumulation, and delayed customer payments. Risk control strategies implemented by the boutique include enhancing digital marketing efforts, conducting regular inventory management, improving service quality, strengthening operational supervision, and maintaining better financial records. The study concludes that effective risk management implementation can contribute significantly to improving business sustainability and enhancing the competitiveness of msmes in the fashion sector

Micro and small businesses such as grocery kiosks face various operational risks that can threaten business sustainability; however, most business owners have not yet implemented systematic risk management practices. This study aims to analyze the risk management process at Kios Pelita Harapan, a small business established in September 2023 in Maumere, using a qualitative approach through direct interviews with the business owner. The findings reveal that the risk management process at this kiosk encompasses four stages: risk identification, risk analysis and assessment, risk evaluation and prioritization, and implementation and monitoring. The primary risks identified include stockouts of fast-moving goods, product damage due to short expiry periods, fire hazards, power outages, and theft. The owner addresses these risks through daily stock checking, inventory recording, monitoring customer purchasing patterns, and coordinating with suppliers during emergencies. The application of a simple yet structured risk management approach has been proven effective in stabilizing revenue and maintaining customer trust. This study provides practical implications for kiosk business owners in implementing effective risk management despite limited resources.

The management of ethical drug inventory is a crucial aspect of supporting the smooth delivery of healthcare services in hospitals. Improper management of ethical drugs can lead to stockouts or overstock, which results increased operational costs and the risk of drug expiration. This study aims to analyze the inventory control of ethical drugs at RSUD Inche Abdoel Moeis Samarinda using the Economic Order Quantity (EOQ), Safety Stock, and Reorder Point methods. The data used in this study are the consumption of ethical drugs during 2024, obtained from the hospital’s Pharmacy Installation. The data analysis method involves calculating ordering and holding costs, determining the optimal order quantity using EOQ, and calculating Safety Stock and ROP to maintain drug availability during lead time. The results of this study indicate that the application of the EOQ method provides a more optimal and efficient order quantity compared to previous policies. Furthermore, Safety Stock and ROP calculations assist the hospital in preventing ethical drug shortages and creating a more structured ordering schedule. Thus, the implementation of EOQ, Safety Stock and ROP methods can improve the efficiency of ethical drug inventory management while supporting the continuity of healthcare services at RSUD Inche Abdoel Moeis Samarinda.

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

Mekanisme administrasi barang pada REA TEHNIK sebelumnya masih mengandalkan cara-cara konvensional melalui pencatatan fisik serta bantuan perangkat lunak Microsoft Excel. Namun, pola kerja tersebut memicu sejumlah hambatan praktis, di antaranya lambatnya akses terhadap informasi stok, risiko diskrepansi data akibat kelalaian input, hingga birokrasi validasi laporan yang memakan waktu lama [1], [2]. Keterbatasan ini mendasari urgensi pengembangan sebuah platform digital yang terintegrasi dan bersifat real-time guna mengoptimalkan kinerja perusahaan serta menjamin akurasi data inventaris secara menyeluruh. Penelitian ini difokuskan pada perancangan dan implementasi sistem manajemen inventori berbasis web dengan memanfaatkan keunggulan framework Laravel. Proses pengembangan perangkat lunak ini mengadopsi metodologi Waterfall yang dilakukan melalui tahapan sistematis, meliputi identifikasi spesifikasi kebutuhan, perancangan arsitektur sistem, tahap pengodean, verifikasi fungsional, hingga fase pemeliharaan. Aplikasi yang dibangun mengintegrasikan berbagai modul krusial, seperti manajemen katalog produk, pelacakan mutasi barang, formulir permintaan barang (Item Request), permohonan pembelian (Buy Request), mekanisme otorisasi manajerial, serta otomasi pembuatan laporan bulanan. Hasil penelitian menunjukkan bahwa solusi digital ini secara masif mampu mendongkrak efisiensi operasional, khususnya dalam mempercepat siklus pencarian data stok dan durasi persetujuan administrasi. Berdasarkan pengujian menggunakan metode Black Box Testing, seluruh fitur telah beroperasi secara optimal sesuai dengan spesifikasi kebutuhan pengguna. Digitalisasi ini terbukti berhasil meminimalkan risiko kesalahan dokumentasi serta meningkatkan keterpaduan proses bisnis dibandingkan dengan metode manual yang digunakan sebelumnya. 

Micro, Small, and Medium Enterprises (MSMEs) play a crucial role in supporting local and national economic development, particularly through employment generation and income distribution. Seasonal religious events such as Ramadan significantly influence consumption patterns and market dynamics, creating both opportunities and challenges for MSMEs. This study aims to analyze the implementation of the “Seri Ramadhan” phenomenon within the strategic management practices of MSMEs in Martapura, focusing on the periods before and after Ramadan. The research employed a qualitative descriptive approach with field study methods. Data were collected through in-depth interviews, direct observation, and documentation involving selected MSME actors in the culinary, fashion, and retail sectors. The findings indicate that prior to Ramadan, MSMEs emphasize strategic planning through product innovation, stock preparation, promotional intensification, and operational adjustments. After Ramadan, they conduct performance evaluations, inventory control, and strategic realignment to maintain business sustainability. The study highlights that Ramadan is not merely a short-term sales opportunity but also a strategic momentum integrated into broader business planning cycles. The implications suggest that adaptive and cyclical strategic management enhances MSME resilience and competitive advantage in seasonal markets.

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.

The rapid development of information technology requires adaptation across various business sectors, including small and medium enterprises (SMEs). BUMDes Poto Bo’o, located in Wolotopo Village, Ndona Timur District, still manages sales data manually using ledger books. This practice leads to several issues, such as data inaccuracies, lack of automatic inventory updates, and delays in report generation.This study aims to design and implement a basic necessities (sembako) sales information system for the BUMDes. The system development method used is the waterfall model, which consists of requirement analysis, system design, implementation, testing, and maintenance stages. The system is developed using PHP programming language and MySQL database.The main features of the system include product management, customer management, transaction processing, tracking of incoming and outgoing goods, and real-time sales reporting. The results show that the developed information system improves transaction recording accuracy, enhances inventory data accuracy, and accelerates the sales reporting process.Therefore, the system is expected to improve the operational efficiency of BUMDes Poto Bo’o, support financial management transparency, and increase public trust in the performance of the village-owned enterprise.