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This study analyzes the application of the principles of gharar (uncertainty) and ‘adl (justice) in the subsidized LPG supply chain at Pangkalan Fawaid, Gondanglegi District, using the Maqashid Syariah approach. The primary focus of this research is to identify issues related to the distribution of subsidized LPG that involve Islamic economic principles, particularly concerning uncertainty and injustice that may disadvantage the public, especially low-income households. The main issues identified include the uncertainty of distribution schedules, price fluctuations, limited supply, and a lack of transparency in information, leading to unequal access for low-income households. The research employs a qualitative-empirical method with data collection techniques such as in-depth interviews, participatory observation, and document analysis. Five key informants were selected through purposive sampling to provide comprehensive insights into the issues surrounding subsidized LPG distribution. The data analysis used the interactive model by Miles & Huberman, with triangulation validation to ensure the accuracy and consistency of the findings. The results indicate the presence of gharar in several aspects, such as price uncertainty, quotas, and distribution schedules. Price uncertainty causes subsidized LPG prices to often exceed the Highest Retail Price (HET), while uneven distribution leads to injustice in access for households in need. Violations of the ‘adl principle are evident from the unequal and uneven distribution, which leads to access disparities among low-income households. Based on these findings, it is crucial to digitalize the LPG distribution system to make it more transparent, enhance supervision of distribution practices, and strengthen consumer literacy so they better understand their rights and obligations in accordance with Islamic economic principles. With these measures, uncertainty and injustice in subsidized LPG distribution can be minimized, leading to a more equitable and transparent distribution system.

The Printed Circuit Board (PCB) industry increasingly relies on automation and digitalization to improve efficiency and accuracy in production and distribution processes. One common practice is the use of labels containing product information in the form of barcodes or QR codes, which allow automatic data input and reduce the risk of human error compared to manual writing. However, in current practices, these labels are only attached to PCBs after they have been placed inside casings. This creates a significant limitation, as access to the label information requires disassembling the casing whenever product verification, tracking, or troubleshooting is needed. Such a process not only consumes additional time and resources but also increases the risk of damaging the product. To overcome this challenge, this study proposes the development of a traceability system designed to accurately monitor the location, identity, and status of PCBs throughout the distribution process. The system was implemented as a web-based application capable of generating and printing product information labels in the form of barcodes and QR codes. Each label functions as a unique identifier, ensuring that every PCB can be distinctly tracked from production to final product assembly. All data associated with the labels is automatically stored in a centralized database, providing real-time accessibility, simplifying information management, and enabling faster decision-making in the event of quality control issues. System evaluation was carried out through rigorous testing, which showed a 100% success rate in generating, storing, and retrieving product information without errors. The findings indicate that the proposed traceability system is both effective and efficient, and it offers a practical solution for industries seeking to enhance supply chain visibility, improve product accountability, and reduce operational inefficiencies in PCB distribution and lifecycle management.

The Paiton Steam Power Plant (PLTU) is one of the main sources of electrical energy in East Java, which plays a vital role in maintaining a sustainable electricity supply. The reliability of generator units is a key element in maintaining stable energy distribution. However, the high frequency of sudden generator failures poses serious challenges, such as increased downtime and increased maintenance costs. To address these challenges, this study aims to design a generator maintenance prediction model based on the Naive Bayes algorithm with a predictive maintenance approach. This study uses historical maintenance data and key sensor parameters such as temperature, oil pressure, and vibration as input. The data is analyzed through several stages, namely data preprocessing, selection of relevant features, and labeling generator conditions into three categories: Normal, Warning, and Critical. The Naive Bayes model is trained to classify the data probabilistically to generate predictions of future generator conditions. Model evaluation using accuracy metrics and a confusion matrix shows that the model successfully achieved an accuracy rate of 89% and was able to provide early warnings of potential failures up to 3 days before failure occurs. The implementation of this system is expected to support the shift in maintenance strategies from reactive and scheduled systems to data-driven predictive systems. Implementing failure predictions allows the technical team at the Paiton PLTU to conduct planned maintenance, avoid sudden disruptions, and extend equipment lifespan. Thus, this model has the potential to reduce operational downtime by up to 25%, while providing significant savings in operational and logistics costs. This research also shows that integrating machine learning technology into energy facility management can improve the efficiency and resilience of the overall electric power system.

The reciprocal tariff policy has a significant impact on a number of countries, including Indonesia. In this scheme, Indonesian non-oil and gas products are subject to a tariff of 32% when entering the US market. Such a high tariff places Indonesian exporters in a less competitive position compared to other countries that have more favorable trade arrangements with the United States. This condition becomes more complex when viewed in the broader context of the US-EU trade war, which creates uncertainty and turbulence in the global economy. Indonesian exports are affected both directly and indirectly. Indirect impacts can be seen from disruptions to the global supply chain, the slowdown in the world economy, and decreased global demand. As global production networks become increasingly interconnected, any disruption in major economies will ultimately suppress demand for Indonesian export commodities. This means that even if Indonesian products are not directly targeted, the ripple effects of global trade tensions will still hinder Indonesia’s export performance. For instance, reduced consumption in Europe and the US due to rising product prices and inflation will diminish market opportunities for Indonesian goods.On the other hand, direct impacts arise because several Indonesian products have been explicitly subjected to tariffs by the US government. These include textiles and textile products (TPT), electronics and their components, footwear, furniture, and palm oil (crude palm oil/CPO). Such tariffs significantly reduce Indonesia’s competitiveness in the US market, potentially leading to decreased export volumes, lower revenues for domestic industries, and job losses in export-oriented sectors. Furthermore, the policy also makes European products much more expensive in the US market, which worsens the global supply chain, increases logistics costs, triggers inflation, and escalates uncertainty in international trade.

This study aims to comprehensively analyze the influence of capital, labor, raw materials, and production processes on the income of woven cloth artisans in Klungkung Regency, Bali. The woven cloth industry in this region holds significant historical and cultural value, yet faces challenges in increasing productivity and income. The study employed a quantitative approach with an associative method, combining data collection techniques through direct observation, structured interviews, and secondary data collection from relevant government agencies. The study population consisted of 120 artisan groups, with a sample of 92 groups determined using simple random sampling. Data analysis was conducted using descriptive statistics to map the general conditions of the respondents, and path analysis using SPSS software to identify direct and indirect relationships between variables. The results indicate that capital, labor, and raw materials positively and significantly influence woven cloth production volume. Furthermore, capital, labor, raw materials, and production simultaneously have a significant direct influence on artisan income, with raw materials emerging as the most dominant factor. These findings confirm that the availability of quality raw materials, the quantity and skills of the workforce, and capital adequacy play a central role in improving production performance and artisan welfare. In addition to direct influences, this study also found an indirect effect of capital, labor, and raw materials on income through the mediation of production variables. This suggests that efforts to improve production factors can automatically strengthen income, both directly and through increased production output. The study's recommendations include the need for policies that facilitate access to capital, workforce training, and a sustainable supply of raw materials to support the sustainability of the woven fabric industry as a vital component of the local creative economy and Bali's cultural heritage.

This study investigates the monetary transmission mechanisms influencing inflation and exchange rates across seven Southeast Asian countries (Myanmar, the Philippines, Indonesia, Malaysia, Singapore, Thailand, and Vietnam) over the period 2010–2023, with special focus on the impact of the COVID-19 pandemic. The research addresses the problem of macroeconomic instability, particularly the volatility in inflation and currency values during crisis periods, and aims to identify the dominant monetary factors affecting these indicators. The study employs a mixed quantitative approach using Structural Vector Autoregression (SVAR), Panel Autoregressive Distributed Lag (ARDL), and Paired Sample t-Test to analyze the short-term and long-term relationships among key variables: Gross Domestic Product (GDP), investment, money supply (M2), interest rates, inflation, and exchange rates. Findings reveal that GDP is the most influential factor impacting both inflation and exchange rates, followed by money supply and interest rates. The variance decomposition analysis confirms that these monetary variables significantly explain macroeconomic fluctuations in both pre- and post-pandemic contexts. The t-Test further indicates statistically significant changes in inflation and exchange rates before and after the pandemic, highlighting the disruptive effect of COVID-19 on economic stability. The results demonstrate that inflation declined significantly in most countries during the pandemic, while exchange rate behavior varied depending on economic resilience and policy responsiveness. The study concludes that maintaining macroeconomic stability requires not only monetary policy coordination but also effective public health crisis management. This research contributes to the regional policy discourse by offering empirical insights and evidence-based recommendations to strengthen economic resilience in Southeast Asia.

This study aims to examine the extent to which social media is utilized in agribusiness learning among students at Universitas Adzkia. A quantitative descriptive approach was employed, using a Likert scale-based questionnaire as the research instrument. The collected data were tabulated and classified into score percentages to determine the category of social media utilization. The research was conducted from June to July 2024 using a census method, involving all 38 students enrolled in the Agribusiness Study Program at Universitas Adzkia. The findings indicate that overall, the use of social media in agribusiness learning falls into the moderate category, with a score percentage of 55.76%. When broken down into agribusiness sub-systems, the results show that the use of social media in the agricultural input supply sub-system was 55.76%, in farming activities 56.14%, agricultural product processing 49.67%, marketing 44.08%, and agribusiness support services 47.20%. These results suggest that although social media has been used in the learning process, its utilization is still at a moderate level and not yet evenly distributed across all agribusiness sub-systems. This presents both opportunities and challenges for lecturers and educational institutions to develop more innovative, technology-based learning strategies. To enhance the effectiveness of agribusiness learning, it is recommended that lecturers actively encourage students to use social media in a productive manner. This could be implemented through the assignment of structured tasks that require the use of social media platforms for academic discussions, information searches, and the creation or sharing of relevant agribusiness content. Such efforts are expected to make social media not only a tool that enriches students' learning experiences but also a means to deepen their understanding of the dynamic and ever-evolving field of agribusiness. Ultimately, integrating social media into learning can support the development of digital competencies and practical insights among agribusiness students in higher education.

Indonesia, as the country with the largest Muslim population in the world, has a significant demand for halal products, including pharmaceuticals. Halal certification serves not only as a regulatory compliance requirement but also as a strategic tool to build consumer trust, ensuring that products meet both religious and quality standards. This article aims to descriptively examine the process and challenges of preparing for halal certification in the pharmaceutical industry, focusing on the evaluation of active pharmaceutical ingredients (APIs) and excipients. The study is based on firsthand experience during a pharmacist professional practice (PKPA) at a national pharmaceutical company. Key areas of focus include material flowchart analysis, identification of critical non-halal points, and the implementation of the Halal Product Assurance System SJPH, in line with Indonesian halal regulatory frameworks. The findings highlight the importance of systematically identifying critical points, especially in evaluating the origin and status of materials such as alcohol, enzymes, and activated carbon, which frequently raise concerns in halal compliance. Furthermore, successful implementation requires comprehensive documentation, revision of standard operating procedures (SOPs), and staff training to ensure traceability and consistency throughout the supply chain. Collaboration with the Indonesian Ulema Council (MUI) and the Halal Product Assurance Organizing Agency (BPJPH) is also vital for technical guidance and certification processes. The study concludes that a structured and integrated approach to halal assurance not only facilitates certification but also enhances operational quality and market competitiveness. This study is expected to provide practical insights for pharmaceutical industries in effectively and sustainably implementing halal regulations, contributing to broader consumer protection and industry accountability.

This study aims to examine one of the disciplines of Islamic law, namely the pricing mechanism from the perspective of Imam Al-Ghazali, in order to create a healthy market environment free from monopolistic practices and manipulation, and aligned with Sharia principles. This research employs a descriptive qualitative approach using a literature study method by reviewing various relevant books, classical texts, articles, and academic journals related to Islamic economics and Imam Al-Ghazali’s thought. The findings indicate that the concept of fair pricing is not solely dependent on the interaction between supply and demand, but must also consider moral and social dimensions, such as justice, honesty, and public welfare. Imam Al-Ghazali strongly emphasized that economic transactions should uphold ethical standards and social responsibility to prevent exploitation and inequality. He argued that pricing must reflect not only market dynamics but also the broader ethical framework rooted in Islamic values. Furthermore, the study explores the concept of economic equilibrium in relation to pricing mechanisms, where prices should ideally balance individual interests with communal welfare. The research also discusses the correlation between economic balance and price-setting policies, including the views of other classical and contemporary Islamic scholars. It is found that state intervention is permissible in certain conditions—particularly when market mechanisms fail to ensure fairness—thus justifying government roles in market supervision and price stabilization. One of the key concepts in Islamic economics is the notion of a just price (al-thaman al-‘adl), as emphasized by Imam Al-Ghazali.. This study concludes that understanding pricing from Al-Ghazali’s perspective offers valuable insights for building ethical and socially responsible economic systems aligned with Islamic teachings.

Distribution is the process of moving, managing, and storing goods from suppliers to customers in the supply chain. This process includes not only the delivery of raw materials from suppliers to manufacturers, but also the distribution of finished products to the end consumer. Distribution plays an important role in a company's profitability because it affects operational costs, delivery efficiency, and perceived value by customers. Successful well-managed distribution will increase customer satisfaction and strengthen the company's competitiveness in the market. PT. XYZ is one of the LPG distributors that provides 3 kg cylinders. This company serves a variety of consumers, ranging from households, small businesses, to retailers, with a coverage of distribution areas in Serang City. The distribution process is carried out based on sales orders and needs in 14 bases, where each base has a different level of demand according to consumer needs. However, PT. XYZ faces obstacles in achieving the optimal level of service, where the average service level only reaches 97.40%. An imbalance between inventory and demand at the base often leads to an oversupply or understock, resulting in backorders on some demands. This condition has a negative impact on customer satisfaction and overall distribution effectiveness. To overcome this problem, PT. XYZ developed a distribution dashboard by applying the Distribution Requirements Planning (DRP) method. Through this approach, distribution planning becomes more systematic, base needs can be met appropriately, and stocks can be managed more effectively. This dashboard also supports delivery scheduling and more coordinated marketing activities. The results of the implementation of the DRP dashboard in 2023 show a significant increase with a service level that has successfully reached 99%, minimizing backorders, and increasing customer trust and satisfaction.

This research aims to be able to meet the water supply of lettuce plants automatically by using three sensors such as soil moisture, water level, and water discharge. The goal is to provide water needs to plants automatically and regularly. The developed tool uses YL-96 sensor for soil moisture, HC-SR04 for water level and YF-S201 for water discharge. Sensor data is sent to the arduino to be processed using the fuzzy mamdani method so that these three data values affect the movement of the tap servo motor that flows to the lettuce plant. Fuzzy logic here as a decision maker from the value of 3 sensor data and then processed automatically by arduino using fuzzy mamdani to determine how many degrees the servo motor moves. The result is that the Lettuce Plant Water Needs Analysis System Automation Tool is able to maintain the water supply of lettuce plants and soil moisture ideally at 76% with a servo motor movement system success rate of 100%.

 The Karanggeneng River in Rembang Regency, Central Java, serves as the main water source for the surrounding community but is vulnerable to seawater contamination during the dry season due to decreasing river elevation. To address this issue, this study aims to design and implement a river water elevation monitoring device based on the Internet of Things (IoT) powered by a hybrid Solar Power Plant (PLTS). The device utilizes the MB7360 ultrasonic sensor connected to an ESP32 microcontroller to measure water elevation in real-time and display the data through an LCD and the Blynk application on a smartphone. The methodology includes literature review, device design, system implementation, and field performance testing. Test results show that the sensor can measure water height accurately within a range of 30 cm to 5 meters, and the PLTS system is capable of supplying the required 0.56 Watts of power. The study compared two alternative solutions and selected the ESP32-based system as the best option due to its efficiency, cost-effectiveness, and easy-to-source components. The conclusion of this research indicates that the developed device can provide accurate and continuous information, support monitoring of river conditions to prevent the risk of seawater intrusion, flooding, or drought, and has the potential to be applied as a mobile system in various other river locations across Indonesia.

Digitalization has become the driving force behind transformation in the logistics sector, particularly at seaports, which serve as key nodes in the global supply chain. Indonesian ports face persistent challenges such as high logistics costs and long vessel turnaround times. By implementing digital technologies such as the Port Community System (PCS), Artificial Intelligence (AI), and Blockchain, ports can enhance operational efficiency, accelerate service processes, and improve transparency and accountability. Digital systems also enable real-time integration among stakeholders, contributing to faster cargo flow and reduced national logistics costs. However, the implementation of digitalization is not without significant barriers, including limited information and communication technology (ICT) infrastructure, low digital competencies among the workforce, and high initial investment costs. Furthermore, ports face organizational cultural resistance to change and cybersecurity risks that threaten operational continuity. Smaller ports in developing countries often struggle to adopt these technologies independently due to budget constraints. To overcome these challenges, synergy between the government, port operators, and technology providers is essential. Programs such as the National Logistic Ecosystem (NLE) represent a strategic step to accelerate sustainable digital adoption. With a holistic approach encompassing technology, human resources, and business processes, digitalization can become a key catalyst in enhancing the competitiveness of Indonesian ports on a global scale.

X Health Center has implemented EMR on SIMPUS since 2009-2010. However, from the preliminary study, it was found that there were obstacles such as network trouble, long loading when many users were pulling data on the system, and there was no SOP for down time: The purpose of this study is to analyze the implementation of Electronic Medical Records at X Health Center, Semarang City in the aspects of Human, Organization, Technology, Net-benefit.  Methods: This study used a descriptive qualitative approach with interviews, observations and documentation studies. Results: The results of research at X Health Center show that there are problems in implementing EMR at X Health Center, in the human aspect, namely system training is still given only to representative officers such as IT and SIK staff. In the organizational aspect, namely limited facilities and lack of manpower. On the technology aspect, namely internet network instability, inconsistent electricity supply and generator unpreparedness and hardware limitations. While in the net-benefit aspect, the implementation of EMR has an impact on increasing the efficiency and effectiveness of X Health Center services. Conclusion: The implementation of electronic medical records at X Health Center is not yet fully optimal, namely in the aspects of human, organization and technology.    

The implementation of Supply Chain Management (SCM) makes many businesses manage information, goods, services and money as good as possible so they can provide fast and high-quality services to customers. Therefore, this study aims to implement SCM in Kopi Bintang Salatiga SMEs to decrease production costs, increase revenue, improve operational efficiency and establish good relationships with customers. This study discusses the SCM process and the added value in Kopi Bintang Salatiga SMEs so in the future Kopi Bintang Salatiga SMEs can have good risk management and increase added value. The data was collected through literature study and interviewing the owner of Kopi Bintang Salatiga SMEs. This study found that weather, natural disasters, fires and coffee pests are the factors with the highest risk in the SCM process of Kopi Bintang Salatiga SMEs. The added value of farmers & post-harvest coffee processors of Kopi Bintang Salatiga Kopi Bintang Salatiga SMEs is already quite high at 99%, while at grade I coffee sales is 71% and grade II is 47% it appears that coffee with grade II has lower added value, so it is needing accuracy of coffee processing at farmers & post-harvest coffee processors so the grade I coffee product is increased.

This study aims to analyze the effect of monetary policy on economic growth in Indonesia. Monetary policy is an important instrument in maintaining macroeconomic stability and supporting growth, through regulating interest rates, money supply, minimum reserve requirements, and open market operations. This study uses a qualitative descriptive approach by analyzing the role of each monetary indicator and its impact on the real sector. The results of the study indicate that effectively implemented monetary policy is able to stabilize inflation, regulate banking liquidity, maintain the stability of the rupiah exchange rate, and support sustainable economic growth. In addition, the implementation of a dual monetary system in Indonesia provides additional flexibility in monetary management. This study also emphasizes the importance of harmonious coordination between monetary and fiscal policies in order to create optimal synergy in achieving national economic goals.    

The research entitled Production Planning of Tenun Ikat Petra Cilik in Kupang City aims to find out and explain the production planning of Tenun Ikat Petra Cilik in Kupang City. Data collection techniques in this study are observation, interviews, documentation and questionnaires. While data analysis techniques use forecasting and Break Event Point (BEP).The results showed that the amount of sales forecast for sarongs at Tenun Ikat Petra Cilik in 2024 was 174 sheets, in 2025 as many as 202 sheets and 2026 as many as 219 sheets. For blankets in 2024 as many as 107 pieces, in 2025 as many as 110 pieces and in 2026 as many as 113 pieces. For sashes on Tenun Ikat Petra Cilik shows that in 2024 there were 199 sheets, in 2025 there were 201 sheets and in 2026 there were 204 sheets. The results of the Break Event Point (BEP) analysis show that if Tenun Ikat Petra Cilik in Kupang City produces 101 pieces of sarong or Rp.152,000,000, for blankets producing 162 pieces or Rp. 162,857,142 and sling producing 1,380 pieces or Rp.411.940.298, then Tenun Ikat Petra Cilik will not make a profit or not suffer a loss because at that point Tenun Ikat Petra Cilik is in a state of basic return. And if the company produces below the BEP point, the company will experience a loss, and vice versa if the company produces above the BEP point, the company will experience a profit. Based on the results of the study, it is recommended that it be taken into consideration for the company in relation to making decisions on determining the number of orders and good planning for the supply of woven raw materials in order to smooth the production process in the company. And for the company, Tenun Ikat Petra Cilik needs to make a production plan or the amount of production to be produced appropriately in order to provide maximum profit. Produksi Keywords :Planning,Production    

The Special Region of Yogyakarta (DIY) is known as an important tourist destination, and tourism development requires an increase in both demand and supply sides. Transportation, especially Tugu Yogyakarta Station managed by PT Kereta Api Indonesia (KAI), is an important element in the offer aspect. PT KAI seeks to improve the quality of service by relocating residents from the Bong Suwung area in Gedongtengen District to facilitate the arrangement of the area around the station. This process involves the socialization and execution stages to reduce conflicts with residents. Yogyakarta Mayor Regulation Number 121 of 2020 regulates the role of urban villages in providing protection for the community. This study uses a qualitative approach focusing on policy research with. The research location is in Bong Suwung, Pringgokusuman Village, Gedongtengen Village, Yogyakarta City. Data is collected by observation, interview, and documentation techniques, primary and secondary data are integrated in the context of analysis, informance is determined by propursive sampling. The results of the study show that even though the Village has carried out data collection, socialization, and coordination with related parties, the aspect of economic empowerment for ex-prostitutes is still very minimal. The reluctance of the Village to be more involved in the training and economic empowerment program, on the grounds that the program is not part of the activities of the Yogyakarta City Government, creates a gap in coordination between institutions and hinders the socio-economic recovery of the affected communities.

In response to increasing competition in the manufacturing sector, PT X—a copper busbar manufacturing company—implemented Lean Manufacturing supported by Value Stream Mapping (VSM) to improve production efficiency and reduce supply chain costs. This study utilizes VSM, Value Stream Analysis Tools (VALSAT), and Root Cause Analysis (5 Whys) to identify sources of waste and formulate improvement strategies. The analysis identified three dominant wastes: waiting time, product defects, and excess inventory. These were mainly caused by the lack of standardized material procedures, inadequate supporting equipment, and poor integration between the incoming inspection process and the Enterprise Resource Planning (ERP) system. To address these issues, the study proposes installing silica rolls, providing air wipers and flatness tools, developing standardized work instructions, and integrating Internet of Things (IoT) technology with the ERP system for real-time monitoring. As a result of implementing these solutions, PT X successfully reduced its defect rate from 6.23% to 1.32%, decreased lead time, and achieved notable savings in supply chain costs. The findings demonstrate that integrating Lean Manufacturing principles with VSM can effectively eliminate non-value-added activities, streamline production processes, and enhance overall competitiveness. This study reinforces the strategic value of Lean tools in continuous improvement initiatives within the manufacturing industry.

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.