Amount Of Sales Research Articles

Macroeconomic Analysis Model, Financial Performance Against Share Traded With Profit as an Intervening Variable in Food and Beverage Sub-Sector Companies on The Indonesia Stock Exchange Period 2016 - 2020

Smart investors will consider several aspects before investing to avoid the worst possibilities including the company's financial performance. This research aims to look at the macroeconomic analysis model, financial performance against share traded with profit as an intervening variable in food and beverage sub-sector companies in the Indonesia stock exchange for the period 2016 - 2020. Macroeconomic variables will be proxyed with indicators of inflation, exchange rates, interest rates and the money supply. Financial performance variables with current ratio indicators, quick ratio (proxy of liquidity), debt to assets ratio, debt to equity ratio (proxy of solvency), total assets turnover, fixed assets turnover and inventory turnover (proxy of activity), return on asset, return on equity, net profit margin, gross profit margin and operating profit margin (proxy of profitability) and earnings per share, price earning ratio and price book value (proxy of market value). The investment approach can also be done by analyzing historical data from stock prices and linking it to share traded that occurs in the market. The research will use profit as an intervening variable, consisting of gross profit, operating profit and net profit. The company has different performance with significant differences in the food and baverages sub-sector, will affect the amount of sales and profits earned by the company. This research data uses secondary data published by relevant and competent parties. This study uses a component-based SEM (Structural Equation Modeling) analysis or variance, namely Partial Least Square (PLS), using Smart PLS 3.0 software. The results showed 1) macroeconomic variables had no effect on financial performance. 2) Macroeconomic variables have no effect on profits. 3) Macroeconomic variables have no effect on share traded. 4) Financial performance variables affect profits. 5) Financial performance variables affect share traded. 6) The profit variable affects the traded share.

RANCANG BANGUN APLIKASI PUSAT OLEH OLEH BERBASIS ANDROID DI SATE BANDENG HJ.MARIYAM KOTA SERANG

Toko Sate Bandeng Hj. Mariyam located at Serang currently managed by children of Hj. Mariyam. It is a well-known tourist attraction since 1970. The main dish in the shop is milkfish satay which is always high demand by customers as they still continue to use the original recipe formulated by Hj. Mariyam. The overall sales process still performed manually from taking the order directly on the spot until payment in cash. This process have drawbacks, mainly the reduction of customers due to switching to sellers who already have easier transactions such as online transactions where it can be done anywhere and anytime, as well as problems caused by the incompatibility of the amount of sales with the amount of money in reality. This can cause losses if the calculation is carried out periodically. Another problem faced is the difficulty in the reporting process because it requires a longer time to recap all transaction and still rely on paper. The proposed system design method is waterfalls method, with the modelling use Unified Modelling Language (UML). The proposed system consider mobile-based system using Android. The proposed system can make it easier for consumers to place orders anywhere and anytime and with any payment method and make it easier for owners to manage transactions.

Fluctuation in Grocery Sales by Brand: An Analysis Using Taylor’s Law

In recent years, Taylor’s law describing the power function relationship between the mean and standard deviation of certain phenomena has found an increasing number of applications. We studied the characteristics of Taylor’s law for branded product sales using point-of-sale (POS) data for brands sold in 72 grocery stores in the Greater Tokyo area. A previous study found that product sales follow Taylor’s law with a scaling exponent of 0.5 for low sales quantities and 1.0 for large sales quantities. In the current study, we observed Taylor’s law with cross-over for 54 product brands and estimated the value of the two coefficients in the theoretical curve to characterize the cross-over. The coefficients represent the fluctuations in the number of items purchased per consumer and the number of consumers in one store and in all stores. The estimated coefficients suggested the dependence of the features of Taylor’s law on the category to which the brands belong. We found that brands in the same category tend to share similar features under Taylor’s law. However, some brands exhibited specific features that differed from others in the same category. For example, for many brands in the Laundry Detergent and Instant Noodles categories, the number of customers purchasing the products in each store fluctuated significantly, whereas the number of purchased items per customer varied widely in the Japanese Tea category. In the coffee category, our results indicated that the degree of fluctuation in the number of purchasing customers largely depends on the brand.

USE OF MACHINE LEARNING TO PREDICT PROFIT IN LPG DISTRIBUTION IN METROPOLITAN LIMA

ABSTRACT: The present descriptive quantitative research tries to find out which machine learning model is the most efficient to predict the utility of a bulk liquefied petroleum gas trading company in Metropolitan Lima. To determine daily profit, which will be a variable dependent on the output model. This dependent parameter has five independent variables: sale price, quantity sold, purchase cost, transportation cost and kilometers traveled, as well as the values with the highest correlation coefficients. There are several machine learning models, for this research the Artificial Neural Networks, Multiple Linear Regression and Random Forest models will be used, which estimated the utility through their own mathematical algorithms. To simulate the algorithms of the mentioned models, the Python program was used. These models were trained to learn and validate 70% and 30% of the database, that is, of the 235 data collected, 165 data were used to calibrate and 70 data to validate. When making the comparison between the automatic learning models for the estimation of the daily utility of the trading company, the Random Forest model was obtained as the best option, obtaining an R2 of 0.959 and also having the lowest statistical error rates with respect to the models. of Artificial Neural Networks and Multiple Linear Regression. Keywords: Machine learning, artificial neural networks, multiple linear regression, Random Forest and predictive models.

Strategic introduction of logistics retail and finance under competition and channel spillover

Some novel operation modes of third-party logistics providers (3PLs) have been arising. 3PLs run retail businesses (i.e., logistics retail) and provide financial assistance to capital-constrained product suppliers (i.e., logistics finance). However, introducing logistics retail brings the effects of competition and channel spillover, which further affect logistics finance. This intrinsic connection raises key questions about whether and under what conditions the 3PL firm should cooperate with the supplier by integrating logistics services, retail, and financing. In this paper, we consider four scenarios to analyze this problem: logistics service, logistics finance, logistics retail, and logistics retail–finance. Interestingly, compared with the former two scenarios, the retail competition existing in the latter two scenarios will not consistently lower down sales prices and raise sales quantities, especially when the spillover effect, either positive or negative, is significant. Moreover, we find that the 3PL firm prefers the logistics retail–finance scenario in most cases because the intersection of selling and financing roles enables the 3PL firm to increase financing income by affecting two parties’ sales margins (diversion effect). However, the supplier prefers the logistics retail–finance scenario when the spillover effect is relatively small even negative and the unit logistics cost is relatively lower. Otherwise, with the increasing positive spillover effect, the supplier prefers the logistics retail scenario because the enhanced diversion effect enlarges competition losses. Finally, we find that a lower 3PL firm’s interest rate facilitates achieving a win-win result, especially when the spillover effect becomes negative.

Construction of Smart Marketing Model of Agricultural Products E-Commerce in the Era of Big Data

With the rapid development of China, the marketing mode of agricultural fruit is also keeping pace with the times. The old sales model of agricultural fruit is also affected, which has a huge impact on marketing models, channels, and sales amount. And the sales methods of agricultural fruit have also undergone great changes, from offline transactions to online platform transactions. Comparing the profit, popularity, proportion of agricultural fruits, and turnover of agricultural fruits in e-commerce with the traditional marketing model, the smart marketing model in the data age increases the turnover by 50% and the profit by 15%. And in the network environment that extends in all directions, the probability of people knowing about agricultural fruits will be greater. It can better build the agricultural product marketing system in the information age and make it conform to the characteristics of contemporary marketing. Through the marketing mode in the information age, the judging project was set up, using estimated calculations to draw conclusions. In the era of rapid network information, e-commerce of agricultural fruits can help agriculture to advance rapidly and slowly go to the world.

A methodology for evaluating salespeople performance considering efficiency and effect: A case study of a liquor company in China.

The performance evaluation is one of the most important organizational management strategies used to guide the sales behavior of sales staff. However, it should be work process-oriented or sales result-oriented has become a dilemma for the management when evaluating employees' performance. Therefore, comprehensively evaluating the work process and sales results has become a challenge when it comes to salespeople performance appraisal. To solve this dilemma, this research builds a salesperson performance evaluation model which considering both of work efficiency and effectiveness, based on the decision tree model. Specifically, we use the Data Envelopment Analysis (DEA) model to quantify the work efficiency of salespeople and measure the work effectiveness by amount of sales. Moreover, this research proposes an advanced integrated DEA model by integrating the self-evaluation DEA models, peer-evaluation DEA models, and Gini impurity, which is identified to be more stable compared with the current DEA model. Finally, a case study of a Chinese liquor company is introduced to illustrate the applicability and feasibility of the salesperson performance evaluation model. The proposed model is applied to evaluate the performance of the salespeople, and a set of comprehensive and objective sales performance evaluation results are obtained. The estimated results can provide feasible sales management suggestions for the company in diagnosing work problems of salespeople.

Analisis Break Even Point Sebagai Alat Perencanaan Laba Pada Rumah Makan Berkah Cahaya di Desa Kerang Kecamatan Batu Engau

This research was conducted with the aim of (1) knowing the amount of rupiah for grilled chicken and beef bone soup that must be obtained to reach the break even point at the Berkah Cahaya Restaurant in Kerang Village, Batu Engau District. (2) Knowing the number of servings of grilled chicken and beef bone soup consumed must be sold to reach the break even point at the Berkah Cahaya Restaurant in Kerang Village, Batu Engau District (3) knowing the amount of sales in order to achieve the planned profit at the Berkah Cahaya Restaurant in Kerang Village, Batu Engau District. Break even point analysis or break even point which is an analytical technique to study the relationship between total costs, expected profit and sales volume. In general, this analysis also provides information regarding the margin of safety which is useful as an indication and illustration to management of how much a decline in sales can be estimated so that the business being carried out does not suffer a loss. Rumah Makan Berkah Cahaya is a small trading business that sells food and drinks. The types of products are grilled chicken and beef bone soup. The results of the analysis are as follows: BEP in 2021 for grilled chicken is IDR 69,878,371 and beef bone soup is IDR. 159,084,803 The number of portions that must be sold so that the Berkah Cahaya Restaurant does not suffer losses in 2012 for grilled chicken was 2,795 portions while for beef bone soup as many as 6,363 portions. The sales that must be achieved in order for the roasted chicken to earn a profit of IDR 100,000,000 is IDR 303,523,231 while for the beef bone soup in order to obtain a profit of IDR 80,000,000, the sales must reach IDR. 584,616,718.

Coordination and Decision of Supply Chain Under

In order to investigate supply chain coordination and decision under customer balking and stochastic demand, the article considers a two-echelon supply chain consisting of one manufacturer with risk-neutral and one retailer with risk-neutral and develops two models in a centralized and a decentralized system and the three contracts are designed to coordinate supply chain and the optimal price and customer balking strategies are obtained. The results show that the revenue and cost-sharing contract can coordinate supply chain under customer balking and price-dependent demand and achieve the Pareto-improvement; the expected sales quantity and expected reduced sales quantity are influenced conversely by the threshold of inventory and probability of a sale under customer balking. In addition, numerical analysis is given to verify the effectiveness of revenue and cost-sharing contract and the paper gives some managerial insights and puts forward to the future work at last.

E-commerce in the financial sector: transition to industry 4.0

The aim of the work consists of: identifying the e-commerce activities implemented by the financial sector in Mexico, using quantitative methods, in order to perform a cluster analysis. Through a compilation of data from the Census on information and communication technologies (2019), sales in millions of pesos and sales methods through ecommerce (Company website, third-party website) are established as study variables. , social media, email). The results indicate that the financial sector that operates in Mexico City reflects the highest amount of sales revenue through e-commerce in: the company's website, third-party website and email, while the sector predominates in social networks financial institution of Nuevo León. Challenges are observed in the integration of technologies industry 4.0 that allow generating greater competitiveness in digital marketing

Is underuse of Inhaled Corticosteroids for Asthma in India contributing to 42% of global asthma deaths?

Background:According to the 2019 Global Burden of Disease (GBD) report, India contributes to an estimated 12.9% of global asthma cases (34.3 million) but a disproportionate 42.3% of all global asthma deaths. Also, asthma causes 4.83 million disability-adjusted life years (DALYs) annually in India, four times more than China, which ranks second.Hypothesis:We hypothesised that this disproportionate increase in asthma deaths and suffering in India could be due to the under-use of inhaled corticosteroids.Methods:Using the estimated number of asthma cases in each state and union territory in India (34.3 million) from the 2019 GBD data, we calculated the expected sales of inhaled corticosteroids (ICS) for asthmatics in India. We assumed that 10% of asthmatics have mild intermitted disease and thus need only 4 units of ICS pMDI per year. The remaining 90% should ideally use 12 units of ICS pMDI or equivalent DPI. We also assumed that 30% of ICS sales in India would be accounted for by the 38 million COPD patients. State-wise actual sales of ICS in India were obtained from IQVIA.Results:The total amount of ICS sales in India for asthma obtained from IQVIA was 26.4 million versus the 384.16 million expected sales, which is only 6.8% of the required estimated sales. Moreover, when we correlated state-wise actual sales of ICS in India versus asthma mortality and DALYs (per 100,000 population), we found a significant negative correlation (R = −0.56; P < 0.001 for asthma deaths and R = −0.61; P < 0.001 for asthma DALYs).Impact and Future Direction:Policy-makers, health care providers, public health researchers, asthma sufferers and the people at large need to take cognizance of our findings and undertake appropriate measures, such as creating awareness and ensuring availability and regular use of ICS by asthmatics in India.

BORSA İSTANBUL’DA İŞLEM GÖREN GAYRİMENKUL FİRMALARININ RASYOLAR ARACILIĞIYLA FİNANSAL ANALİZİ ve SEKTÖRÜN GENEL OLARAK DEĞERLENDİRİLMESİ

Ekonominin itici kuvveti olarak görülen gayrimenkul sektörünün içinde bulunduğumuz yıllarda hem pandemi hem de ekonomik kriz dönemi açısından ne durumda olduğunun incelenmesi amacıyla BIST de işlem gören gayrimenkul firmalarının mali tablolarına göre rasyo analizine tabi tutularak kısa vadeli finansal risk, finansal yapı, verimlilik ve karlılık açısından değerlemesi yapılmış ve bu konuda araştırmacılara bir fikir vermesi amaçlanmıştır. &#x0D; Sonuç olarak EDİP gayrimenkul ve Yeşil Yapı’nın kısa vadeli likidite riskleri yüksek olduğu ama genelde gayrimenkul sektörünün kısa vadeli finansal riskinin az oldu ifade edilebilinir. Gayrimenkul firmalarının finansal yapıları için DAP gayrimenkul ve EDİP Gayrimenkul firmaları haricinde tüm gayrimenkul firmalarının toplam borçlar karşısında özsermayeleri ve toplam aktifler içinde özsermaye paylarının oldukça iyi olduğu söylenebilir. Firmaların satışlar yoluyla verimliliği analizinde en önemli rasyolardan biri de aktif devir hızıdır. Aktif devir hızına bakıldığında İHLAS Gayrimenkul, Yeşil Yapı, KUYAŞ Yatırım ve ENKA İnşaat’a 2019/2021 yılları arasında özellikle 2021 yılına yaklaşırken net satışların %100’ler ve üstünde artışların aktif artışların üstünde olması nedeniyle aktif devir hızını arttırdığını ancak yeterli düzeyde olmadığını görmektedir. Bunun sebebi olarak da aktif tutarlarının net satış tutarlarının çok üzerinde olmasıdır. EDİP Gayrimenkul ve DAP Gayrimenkul ’de ise aktif artışlarının özellikle 2021’de net satışların çok üstünde olması nedeniyle düşüş göstermektedir. Karlılık rasyoları bakımından incelenen gayrimenkul firmalarının ortalamalarını bakılırsa net satış kârlılığının 2019 ve 2020’de negatif olduğunu ancak 2021’de 0,31’lere çıktığı görülmektedir. Özsermaye kârlılığının ise negatif olduğu ancak 2021 yılında 0,46’ya geldiği görülmektedir ancak bunun özsermaye yetersizliğinden oluştuğuna hatırlatmakta fayda vardır. Özsermaye kârlılığı ise eksi ortalamalardan pozitif sonuçlara ve 2021 yılında 0,07’ye çıkmıştır.

An agent-based modeling framework for the design of a dynamic closed-loop supply chain network

The supply chain is a dynamic and uncertain system consisting of material, information, and fund flows between different organizations, from the acquisition of the raw materials to the delivery of the finished products to the end customers. Closed-loop supply chains do not end with the delivery of the finished products to the end customers, the process continues until economic value is obtained from the returned products or they are disposed properly in landfills. Incorporating reverse flows in supply chains increases the uncertainty and complexity, as well as complicating the management of supply chains that are already composed of different actors and have a dynamic structure. Since agent-based modeling and simulation is a more efficient method of handling the dynamic and complex nature of supply chains than the traditional analytical methods, in this study agent-based modeling methodology has been used to model a generic closed-loop supply chain network design problem with the aims of integrating customer behavior into the network, coping with the dynamism, and obtaining a more realistic structure by eliminating the required assumptions for solving the model with analytical methods. The actors in the CLSC network have been defined as agents with goals, properties and behaviors. In the proposed model dynamic customer arrivals, the changing aspects of customers' purchasing preferences for new and refurbished products and the time, quantity and quality uncertainties of returns have been handled via the proposed agent-based architecture. To observe the behavior of the supply chain in several conditions various scenarios have been developed according to different parameter settings for the supplier capacities, the rate of customers being affected by advertising, the market incentive threshold values, and the environmental awareness of customers. From the scenarios, it has been concluded that the system should be fed in the right amounts for the new and refurbished products to increase the effectiveness of factors such as advertising, incentives, and environmental awareness for achieving the desired sales amounts and cost targets.

Analisis Kinerja Keuangan Menggunakan Metode Du Pont Di CV. Subur Lestari Jaya Bersama Kota Lubukinggau

The problem in this research is the fluctuation in the amount of net sales, total assets, and net income. That is, this also affects the company's financial performance. To find out the company's financial performance, it can be calculated using financial ratios. The research method used is a qualitative research method using quantitative data through primary and secondary sources. The data collection techniques used were observation, documentation and interview data collection techniques. Based on research using Return On Asset, Total Asset Turnover, and Net Profit Margin in measuring financial performance at CV. Subur Lestasi Jaya Bersama Lubuklinggau, the results of this study indicate that the value of Return On Assets has fluctuated or fluctuated over the last five years, from 2014-2018. The value of Total Asset Turnover is in the very good category, with the lowest decline in 2018, the highest value in 2017. Net Profit Margin has fluctuated or fluctuated during the last five years, namely 2014-2018. This means that this company has not been effective in terms of financial performance, seen from the fluctuating value during the five periods of ROA.&#x0D; &#x0D; Keywords: Financial performance, Return On Asset, Total Asset Turnover, and Net Profit Margin

Impacts of COVID-19 on Market Access and Pricing of Fisheries Value Chain in the Coastal Region of Bangladesh

The present study analyzes the market access of the biggest fish market at Chattogram coastal region of Bangladesh affected by COVID-19. The food chain was reduced locally, regionally, and globally as supply chains were disturbed and international seafood exports were halted for a certain period. For data collection several qualitative data collection tools, such as individual interviews as well as secondary document analysis were employed. To realize the overarching aim of this research the whole market system was analyzed including the supplier, wholesaler, retailer, as well as the consumer of the domestic market in the Chattogram district. The result shows that the pandemic slowed the supply and demand in the domestic fish market, and as a consequence the price of fish was distinctly reduced in the whole market system. The result highlights that the most affected stages of the supply chains are the supply quantity, the interval of the supply, and the quantity of fish sales. Furthermore, the principally affected stages of the demand chains are consumer demand and alternation in the preference of the consumer. To overcome such situation, this study recommends governmental financial support to trades to ensure the smooth flow of the supply and demand and create an alternative market system for the consumer. The pandemic and the measures to address the pandemic have created significant new challenges for market access and controlling pricing in domestic markets. Regularly engage of the policymakers are thus the prerequisite to overcome the compensation of trades and ensure food security in this sector.

Optimization-based integrated decision model for smart resource management in the petrochemical industry

In this study, a new decision-supporting platform for the overall supply chain management of the petrochemical industries was proposed to maximize business profits. The proposed system integrates various decision-supporting models that address the critical challenges, both vertically and horizontally. Specifically, horizontal integration includes various decision-based problems along with the productive flow on the value chain from raw material purchasing and manufacturing to the final product sales, while vertical integration involves critical decisions at different levels, including the enterprise supply chain, the plant scheduling/planning, and the process operation. The optimization-based decision platform effectively supports the business's supply chain management, plant planning, and process operation strategy. The platform integrates different decision and featuring models, including a price prediction and a paper trading model for reducing the financial risks, a mathematical model of naphtha thermal cracker for identifying the optimal operating, and an optimization model for maximizing business profits. As a result, business profit was improved by 5.30% with only paper trade optimization, 6.67% with optimal operating conditions combined with price forecasting, and 11.98% with overall supply chain optimization. Thereby, the proposed platform assists decision-makers in determining the timing and quantity of raw material purchases and final product sales, as well as the operation strategies for process facilities, utilities, and inventory management. This study could be used to aid in the establishment of annual planning and scheduling as an auxiliary indicator for business operations.

Inventory Calculation System by Predicting The Amount of Sales of The Eye Shop Using The Moving Average Method

For a company, inventory is an asset that is quite large in value. The existence of inventory in a company implies whether there is an inventory or not. Business is an activity in the field of trade with the intention of making a profit. There are various types of businesses that are around us. Inventory is one of the current assets that must be managed properly, especially for the type of business that has an inventory of merchandise. Inventories that are owned by this type of business will be able to be determined at the cost of the inventory and the value of the inventories will be presented on the balance sheet. In calculating the value of the company's inventory, the company can use three methods, namely the FIFO, LIFO and Average methods. The moving average method is used if the past data is data that does not have an element of trend or seasonal factors. Moving average forecasting is widely used to determine the trend of a time series. The main purpose of using moving averages is to eliminate or reduce randomness in the time series. So that it can provide information on incoming and outgoing goods based on transaction reports so that it can predict the number of sales in the next period. It is hoped that this application will always be up to date so that this application follows the development of sales information technology based on Android Flutter.

Generation estimation and material flow analysis of retired mobile phones in China.

The generation estimation of retired mobile phones is launched with the sales and new method using the revised sales data and amount of the subscribers. Several assumptions have been made due to the insufficient sources of the data. The sales data of legal mobile phones are calculated with the authoritative and continuous official data. The sales data of smuggled and counterfeit mobile phones in China are also estimated based on the behavior data collected from the questionnaires. The results of generation estimation show that there are 636.52 million mobile phones retired in 2020, compared with 14.44 million in 1999 and several negative values in 2000, 2001, and 2008. The annual total mass of retired mobile phones in China escalated with the contributions of both the increasing generation amount and constant mass of the single unit. There are 50,921.60 ton of mobile phones retired in 2020 compared with 1155.20 ton in 1999, while the peak is 58,131.20 ton in 2019. There are 26,066.80 ton of retired mobile phones are stockpiled in 2020, while 16,152.40 ton and 8702.40 ton of retired mobile phones are reused as a whole unit and recycled, respectively. In the retired mobile phones that are recycled, 4600.50 ton material is recovered and 1216.50 ton components are reused, while 2885.40 ton residues need final disposal. The amount and dynamic characteristics of metals in the retired mobile phones are also calculated. Based on the results, several policy implications are made to improve sustainable management system of retired mobile phones in China.

Measurement of Activity Concentration of 40K, 226Ra and 232Th in Commercial Wall Paints Used in Nigeria and Inherent Radiological Hazards

Ionizing radiations from building materials portend serious health risk to atoms and molecules of body cells by damaging tissues and altering the DNA in genes. In this study, the measurement of radioactivity concentration of 40K, 226Ra and 232Th to determine inherent radiological hazards in major brands of commercial wall paints used in Nigeria was carried out. Twenty paint samples were selected based on the popularity and quantity of sales of these paints’ brands as obtained from oral interview with these paints’ marketers. A NaI (Tl) detector (76×76 mm) was employed in the measurements. High mean levels of the radioactivity of 40K, 226Ra and 232Th were observed in emulsion paints 174.73, 58.18 and 56.98 Bq/kg while oil paints gave lower values of 119.66, 44.66 and 37.86 Bq/kg for 40K, 226Ra and 232Th respectively. From results obtained, most of the emulsion and oil paints available in Nigeria present low level of radioactivity concentration which does not pose significant radiological risk to user population. However, average excess lifetime cancer risk of these paints gave a value higher than the recommended limit. Based on this, regulation, quality control and constant monitoring of raw materials used for paint production in Nigeria is highly advised.

EKSISTENSI KAIN IDUP PANAK SEBAGAI MEDIA KOMUNIKASI SOSIAL DI DESA TENGANAN KARANGASEM BALI

Idup Panak woven textil is one of the traditional textil in the Tenganan Pegringsingan Traditional Village. Idup Panak textil as a work of weaving art has its own uniqueness compared to other gringsing fabrics because it is made using leftover threads from other ready-made motifs. Idup Panak textil are starting to increase in existence and the quantity of sales is getting bigger. Of course, it is necessary to strengthen the principles of meaning and value in maintaining the quality of the textile, of course, in order to avoid a decline in cultural understanding. Departing from the problems above, this study aims to strengthen the construction of values ​​and principles contained in the Idup Panak textile. The method used is a qualitative research method using interview techniques, observation and literature in data collection. This study uses symbol theory which will assist in analyzing the symbols contained in the Idup Panak Textil and the Communication Strategy Theory which functions in the development of the Idup Panak Textil so that all forms of principle values ​​contained in the Idup Panak Textil are preserved. The results show that action has begun. duplication of Idup Panak Textil in order to meet consumer demand, this has resulted in craftsmen starting to experience social blindness which only prioritizes quantity and puts aside the meaning of value, it is very necessary to educate and supervise to face increasingly advanced developments bringing this tradition in a positive direction with meaning values ​​that are still maintained .