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Bisnis adalah kegiatan ekonomi yang dilakukan untuk menghasilkan, membeli, atau menjual barang atau jasa dengan tujuan mendapatkan keuntungan. Bisnis dapat dilakukan oleh individu, kelompok, perusahaan besar, atau usaha kecil. Di suatu dunia bisnis, yang dimaksud dengan sistem informasi manajemen adalah piranti yang dipakai untuk mengatasi suatu proses, operasional, evaluasi, serta teknologi dan informasi. Usaha  bisnis  yang  bergerak  dalam  bidang  makanan  ringan  snack dijalankan  dengan  modal usaha  berskala  kecil  ialah  pelaku  bisnis  berskala  rumah  tangga  yang  mempunyai  kesempatan sangat  bagus  untuk  berkembang  dengan  pesat  dengan  keterbatasan  yang dimiliki  seperti  SDM, skill,  pengetahuan,  ketrampilan,  dan  pengelolaan  bidang  managementyang  seadanya Penelitian ini dilakukan di Teha Coffee Corner, sebuah kedai kopi yang berlokasi di Jl. Imam Bonjol, Tebing Kisaran, Kec. Kota Kisaran Barat, Kabupaten Asahan, Sumatera Utara 21211. Kedai ini didirikan pada Maret 2021 oleh Thierry Henry, tepat di tengah masa pandemi COVID-19. Supply Chain Management (SCM) adalah pengintegrasian sumber bisnis yang kompeten dalam penyaluran barang, mencakup perencanaan dan pengelolaan aktivitas pengadaan dan logistik serta informasi terkait mulai dari tempat bahan baku sampai tempat konsumsi, termasuk koordinasi dan kolaborasi dengan jaringan mitra usaha (pemasok, manufaktur, retailer, distributor, pergudangan, transportasi dan konsumen) untuk memenuhi kebutuhan pelanggan. Sebuah model rantai pasokan sederhana terdiri dari empat komponen yaitu supplier, produsen, gudang atau pusat distribusi dan pengguna akhir. Seiring dengan pertumbuhan bisnisnya, Teha Coffee Corner mulai menghadapi berbagai tantangan, terutama dalam pengelolaan stok bahan baku dan pencatatan transaksi. Saat ini, pencatatan masih dilakukan secara manual, baik dalam menghitung jumlah stok maupun dalam mencatat transaksi harian. Setiap akhir operasional atau saat closing, Dengan adopsi sistem E-SCM, aliran informasi dan data pembelian antara Teha Coffee Corner dan pemasok menjadi lebih efisien. Ini menghasilkan kejelasan dan ketepatan dalam transaksi pembelian, yang berkontribusi pada menghindari kesalahan dan mengurangi risiko keterlambatan dalam pengiriman toko.

Iron deficiency anemia (ADB) is anemia that arises due to reduced iron supply for erythropoiesis, due to empty iron stores (depleted iron stores) which ultimately results in reduced hemoglobin formation. This study aims to determine the effect of giving blood supplement tablets on HB levels in female students suffering from anemia at SMAN 1 Tambakboyo, Tuban Regency. The research design used a pre-experiment using a one group pre test post test approach, with a total sampling technique on a population of 34 female students suffering from anemia in class X and analyzed using the Wilcoxon test. The instruments in this research were Standard Operating Procedures (SOP), hemoglobin level observation sheets and Easy Touch GCU brand hemoglobin measuring equipment. The results of the study showed that the average HB level before 10.17 g/dl and after 15.46 g/dl given blood supplement tablets was normal. The results of the Wilcoxon test obtained a significant value of p=0.000 (p<0.05), which means that there was a significant difference in the HB levels of class X female students before and after being given blood supplement tablets. Health workers, especially in school health offices, should provide blood supplement tablets at the right time so that female students can take the blood supplement tablets regularly and finish them.

Empty oil palm bunches processed by palm oil mills in Indonesia are still abundant, reaching 56.35 million tons per year. Empty oil palm bunches contain around 40% cellulose, so they can still be used for various derivative products, one of which is composite products. The use of empty oil palm bunches as raw materials for Bioplastic production is a series of ongoing research, one of which is starch-cellulose blend, but until now it has not been successfully commercialized. The design of the starch cellulose blend bioplastic industry using palm oil as raw material produces two factories, namely a cellulose factory and a composite bioplastic factory. Both factories are designed in separate buildings. The separation of cellulose from TKKS uses a chemical method with soda, after mechanical treatment of size reduction. The industry is designed in 3 scales of production capacity, namely a large scale of 190,000 tons / year, medium 115.00 tons / year, and small 40,000 tons.year. The financial analysis of the three scales of production capacity as a whole is declared feasible. Profit margin is calculated at a minimum of 17.6%. The average payback period is between 3-5 years with an IRR of 24-49%. Analysis of the economic value produces an EScale index of 0.64 which indicates that the economic scale has been achieved. The economic scale of the starch cellulose blend bioplastic industry from TKKS is at a production capacity of 40,000 tons per year with a minimum supply of TKKS raw materials of 20,203 tons/year. At the smallest economic scale, the BEP is actually only 6627.4 tons/year, where this condition can be achieved because the industry has relatively small fixed costs.

This paper investigates how Big Data Analytics (BDA) can accelerate the transition to a low-carbon digital economy. We present a systematic literature-based research framework (2015–2025) that synthesizes applications of BDA in energy systems, transportation, industry and supply chains. The methodology combines systematic review and conceptual modelling to identify pathways through which BDA reduces emissions: (1) demand-side optimization, (2) operational efficiency, (3) predictive maintenance and (4) data-driven policy and market instruments. Results highlight concrete case examples smart grids, digital twins, and green supply-chain analytics and quantify benefits reported in recent literature. Key challenges such as data governance, carbon costs of computing, and policy integration are discussed. The paper concludes with policy recommendations and a research agenda to align digitalization with decarbonization goals.

The global environmental crisis caused by population growth, waste, and resource exploitation demands a shift towards a more sustainable economic system. This study examines the role of Artifical Intelligence (AI) and Blockchain technological innovations as solutions in strengthening the implementation of the circular economy at the global level. Using qualitative methods through literature studies and focused group discussions, the resuts show that AI can optimize waste management and supply chains efficiently, while Blockchain increases transparency and accountability through secure digital recording. The integration of the two forms the Digital Circular Economy (DCE)-an innovative solution that promotes resource efficiency, data fairness, and global carbon footprint reducation. DCE is a strategic step toward creating new sustainability standards that are smart, transparent, and future-oriented.

This study examines the role of smart technology, particularly Artificial Intelligence (AI) and the Internet of Things (IoT), in strengthening economic resilience in the face of climate change impacts. Using a qualitative descriptive approach with a literature stufy method, secondary data was obtained from scientific journals, books, proceedings, and relevant online articles. The analysis was conducted through reduction, categorization, and thematic analysis of the relevant literature. The results show that AI contributes significantly to improving economic efficiency and risk prediction compabilities. While IoT strengthens connectivity and automation that support supply chain stability, the intregration of AI and IoT in the agricultural sector significantly increases productivity and food security. In addition, smart technology is also an effective mitigation tool against exctreme climate variations that impact the economy and society. This study emphasizes the importance of cross-sector collaboration and digital infrastructure investment to build adaptive and sustainable economic resilience. The implication of this research provide a basis for policy strategies and digital innovation in an era of increasing dynamic climate change.

Liquid Petroleum Gas, commonly known as LPG, is widely used in household activities, especially for cooking. However, its flammable nature makes this gas very hazardous if a leak occurs, which can result in an explosion that damages buildings, endangers the safety of those living there, and causes financial losses. Recently, the improper or unsafe use of LPG gas has led to numerous accidents and fires. This raises serious concerns for the people who use it. LPG gas leaks are often difficult to detect due to various factors, such as the absence of the gas's distinctive odor or the absence of people around the leak location. This study aims to detect gas leaks to minimize or prevent fires and LPG gas explosions. The methods in the research that will be carried out include identification, literature study, data collection, design, implementation, system testing, and conclusions. In this study, the design and implementation of an LPG gas leak detection system based on Arduino will be carried out to minimize this risk. The system will use MQ-2 to determine the concentration of LPG gas in the air. When a leak is detected, the Arduino microcontroller will process the input and automatically close the solenoid and activate the buzzer as an alarm. The implementation and testing results concluded that the system can detect LPG leaks above 600 ppm and respond effectively by cutting off the gas supply and providing an audible warning. This system is expected to improve household safety by providing early warning of gas leaks. Future developments may include integration with an Android app for smartphones, enabling more practical remote monitoring.

Water is an essential resource for every household. Typically, household water distribution systems rely on PVC pipes and faucets. Despite this, water leakage remains a frequent issue, occurring in both pipes and taps. This study aims to design an Arduino-based automatic faucet control system capable of detecting leaks in water pipes, with the goal of conserving water and improving usage efficiency. The system employs a pressure sensor to monitor water pressure within the pipe, an ultrasonic sensor to detect user presence at the tap, and a solenoid valve to automatically shut off the water supply in the event of a leak. Testing and design outcomes indicate that the system functions effectively. The solenoid valve successfully closes the water flow automatically when a leak is detected. However, the current system lacks a notification feature to alert users when a leak occurs. Future developments should consider integrating a notification mechanism to inform users promptly about any detected leaks.

This study uses a qualitative method to analyze the integration model of Supply Chain Management (SCM) in the manufacturing-service industry, focusing on a case study in the automotive sector. SCM integration in this context involves the coordination of production processes, distribution, and after-sales services to enhance efficiency and responsiveness to customer demands. Data were collected through in-depth interviews and direct observations at an automotive company implementing integration strategies between manufacturing and service operations. The findings show that cross-functional collaboration among suppliers, manufacturers, and service providers plays a vital role in creating an adaptive supply chain. Digital integration through connected information systems also significantly accelerates decision-making and improves overall supply chain visibility. This study highlights the importance of a holistic approach encompassing technical, organizational, and inter-partner relationship aspects. The results are relevant for automotive companies aiming to strengthen competitiveness through cross-sector SCM integration and serve as a reference for developing industrial policies that support collaboration between manufacturing and service actors in the Industry 4.0 era.  

The distribution of sugarcane from farmers to sugar mills in Indonesia continues to face various challenges, particularly in terms of logistical efficiency and farmers’ dependency on intermediaries. This study aims to analyze the role of intermediaries in determining the efficiency of sugarcane distribution, using a case study in Kedungmakam Village, Tuban Regency. A qualitative approach with a case study design was employed, enabling an in-depth understanding of distribution practices directly in the field. Data were collected through field observations, in-depth interviews with farmers, intermediaries, and retail traders, as well as supporting documentation. The results indicate that intermediaries play a crucial role in providing production capital, scheduling harvests, and managing transportation of sugarcane to the mills. However, their dominance, in the absence of formal contracts, creates relationship imbalances and weakens the bargaining position of farmers. Furthermore, geographical barriers, limited access to market information, and the lack of independent distribution infrastructure exacerbate inefficiencies and reduce fairness in the existing distribution system. Therefore, strengthening farmer institutions, improving contract transparency, and enhancing access to logistics and information are recommended as long-term solutions.

The European Union Deforestation Regulation (EUDR), officially adopted by the European Union in 2023, has gained various responses from exporters, mainly due to quite demanding perception on regulation. This study focuses on the smallholder group (cooperatives and farmers), as among most impacted parties considering the financial constraints, knowledge limitation, and technical capacity. The main emphasis focuses on the challenges to comply EUDR’s documentation requirements, which include land use maps, sustainability certificates, land ownership documents, geolocation maps, proof of coffee land ownership, and the Supply Chain Traceability Report. This study aims to explore in depth the opportunities, barriers, and handling strategies adopted by exporting cooperatives. Primary data were collected through structured interviews with five cooperative representatives from various regions of Indonesia and analyzed using a thematic analysis method, referring to three main components of the Dynamic Capabilities Theory: Sensing, Seizing, and Reconfiguring. The outcome of this research presents internal and external strategic recommendations for cooperatives to prepare for the official implementation of the EUDR.

Maritime security in Indonesia faces numerous challenges, including piracy, smuggling, and environmental degradation that threaten the sustainability of the maritime sector. Blockchain technology, known for its transparency, security, and efficiency, presents a potential solution to enhance maritime security systems in Indonesia. This study explores the application of Blockchain technology in improving surveillance, tracking, and data validation in the maritime sector. By analyzing existing literature and case studies, the research identifies how Blockchain can strengthen security systems through smart contracts, real-time supply chain tracking, and increased transparency in maritime transactions. The study also discusses the challenges of implementing Blockchain technology in Indonesia's maritime sector and offers recommendations to accelerate its adoption. The findings aim to provide insights for policymakers and practitioners in developing technology-driven solutions to enhance maritime security in Indonesia.

This study aims to examine the village government's strategy in developing the tourism potential of Lake Rana Kulan, located in Rana Kulan Village, Elar Sub-district, East Manggarai Regency. The research uses a descriptive method with a qualitative approach. Data collection techniques include interviews, observation, and documentation, using both primary and secondary data sources. Data analysis was carried out through data reduction, data presentation, and conclusion drawing. The study adopts the tourism development components theory by Gunn (2002), which includes attraction, service/facilities, promotion, transportation, and information. The results show that the village government is working to develop tourism attractions such as the lake's natural beauty, fishing and swimming activities, as well as cultural attractions like festivals. In terms of facilities, gazebos, toilets, parking areas, a stage, and trash bins are available, although food stalls and accommodations remain limited. Basic infrastructure such as solar power (PLTS) and internet networks are in place, but clean water supply remains a challenge. Promotion is conducted through social media and cultural festivals, with plans to develop a village website. Road access to the location is still damaged but under repair, supported by local motorcycle taxi services. In terms of information, there are directional signs and digital access via Google Maps and the Jadesta website. Overall, the strategies implemented indicate the village government's commitment to tourism development, although infrastructure and facility limitations remain obstacles.

Trade wars and protectionism have again become major issues in global economic dynamics, especially since trade tensions between the United States and China began in 2018. This research aims to analyze tariff policy as part of a protectionist strategy in the context of the political economy of bilateral trade relations. Using a qualitative approach with case studies and document analysis, data were obtained from policy reports, scientific journals, and trade statistics. The results show that tariff policies are often not purely based on economic considerations, but are also influenced by domestic political interests, industry group pressure, and global negotiation strategies. On the other hand, these policies have a significant impact on the structure of bilateral trade relations, trade volume, and global supply chains. Indonesia as a partner country is also affected, both directly through changes in export-import values, and indirectly through supply and investment disruptions. Policy implications show the importance of developing countries' preparedness in anticipating changes in global trade policies and encouraging the formulation of adaptive and competitive national strategies. This study provides recommendations for policymakers to balance national interests with global dynamics.

This study aims to analyze the operational conditions of the raw material warehouse at PT Nutrition And Special Foods Division and evaluate the potential implementation of an Internet of things (IoT)-based warehouse management system (WMS) to improve the efficiency and accuracy of warehouse management. A descriptive qualitative approach was used, including field observations and interviews with several operators and warehouse staff. The findings indicate that the currently used manual system causes various obstacles, such as input errors, slow picking processes, and limited stock tracking capabilities. A simulation of WMS implementation using RFID and barcode technology showed significant improvements, including approximately 40% increase in picking  efficiency, around 90% improvement in stock recording accuracy, and a reduction of input errors by up to 85%. The application of this technology also supports real-time tracking using FIFO/FEFO methods and enhances visibility and decision-making in logistics operations. Thus, the integration of RFID, barcode, and QR code in WMS proves effective in transforming warehouse management into a faster, more accurate, and responsive system aligned with supply chain dynamics.

Unbalanced transportation is one of the main challenges in logistics that can affect efficiency and operational costs. The imbalance between supply and demand can cause high transportation costs, delays in delivery, and decreased product quality. Therefore, it is necessary to analyze and develop solutions to overcome the challenges of unbalanced transportation and improve logistics efficiency. This study aims to identify the challenges and solutions of unbalanced transportation towards logistics efficiency. This study is expected to contribute to the development of unbalanced transportation solutions and improve logistics efficiency.  

This paper discusses the methodologies for balanced transportation problems and their solutions, focusing on efficient and cost-effective distribution of goods from multiple sources to various destinations. The study highlights the importance of maintaining supply and demand balance and explores systematic approaches such as initial solution methods—North-West Corner, Least Cost, and Vogel Approximation Method—and the optimal solution technique, Stepping Stone. An illustrative case involving a company with multiple factories and markets demonstrates the application of these methods, resulting in minimized transportation costs. Additionally, the process of fertilizer allocation and cost analysis is examined, emphasizing the use of the Stepping Stone method to achieve cost minimization. The findings underscore the effectiveness of combining initial heuristics with iterative optimization to attain optimal transportation solutions, thereby enhancing logistical efficiency and reducing operational expenses.

This study aims to provide an overview of the consumption patterns of Generation Z and how they relate to inflation from an Islamic economics perspective. A library research strategy is used in this investigation. Information was gathered from a number of sources, such as books, journals, and other problem-related scientific resources. The results indicate that Gen Z's consumption habits could lead to demand-pull inflation, or an increase in inflation. Prices rise when the supply cannot keep up with the substantial increase in demand for products and services brought on by consumer behavior. When Gen Z consumes technology, fashion, entertainment, and food items all of which are frequently popular and seasonal this issue becomes more noticeable. Consumption is controlled in Islamic economics to avoid becoming wasteful (tabzir) or excessive (israf). Needs (maslahah), not only wants or carnal emotions, must be the basis for consumption. The primary remedy, according to Islamic economics, is to emphasize beneficial consumption, Islamic-based money management, and bolstering social and spiritual values in order to curb consumption and prevent detrimental effects on people or the economy.  

This study aims to analyze the extent to which Sharia principles can stabilize the micro, small, and medium enterprises (MSME) market through the framework of Islamic demand and supply theory. In conventional economic systems, price fluctuations and market instability are common challenges for MSMEs. In contrast, Islamic economics offers a value-based approach that emphasizes honesty, justice, the prohibition of exploitation, and the concept of fair pricing (tsaman al-mitsli). This research employs a library research method by reviewing primary and secondary sources, including scholarly journals, classical Islamic economic texts, and recent empirical studies. The findings indicate that implementing Sharia principles fosters market stability through the reinforcement of business ethics, transparent information, and the utilization of Islamic instruments such as zakat, infaq, and profit-sharing-based financing. Furthermore, the concept of barakah (blessing) in transactions strengthens consumer loyalty and business resilience. This study concludes that Sharia principles are not only normative but also practical and strategic in addressing the challenges of market instability in the MSME sector. However, this research is limited to theoretical analysis and lacks empirical field data; therefore, future research employing quantitative or case study approaches is strongly recommended.

This study aims to analyze the price elasticity of demand and supply of local lemon oranges in Indonesia, a key horticultural commodity. The data used are historical records of prices and demand in Sleman Regency (2003–2006), as well as consumption and supply in Medan City (2010–2011). The research adopts a quantitative approach using price elasticity analysis with the midpoint formula. The results show that demand is inelastic (Ed < 1), meaning that price changes do not significantly affect lemon demand. On the other hand, supply is elastic (Es > 1), indicating a strong producer response to price changes. These findings are essential for price-setting strategies, production increase planning, and managerial decision-making in maintaining the stability of local lemon supply and prices in the domestic market.