High Profit Potential Research Articles

Perbandingan Metode Extreme Gradient Boosting (XGBOOST) Dengan Long Short-Term Memory (LSTM) Untuk Prediksi Saham Pt. Bank Mandiri Tbk. (BMRI)

In the continuously evolving world of investments, achieving optimal investment results is the primary goal of every investor. The high profit potential in stock investments makes it an attractive choice. However, it is difficult to predict the direction of stock price movements, but many methods and ways are used to predict in terms of buying and selling, one of which is the result of the very rapid development of computing for machine learning, namely artificial intelligence techniques. In this study, the artificial intelligence methods used are Extreme Gradient Boosting (XGBoost) and Long Short-Term Memory (LSTM). This study uses a stock dataset of PT. Bank Mandiri Tbk. (BMRI) for 20 years, especially in the open price column. After testing, the results from the XGBoost method are obtained, namely the Coefficient of Determination (R2) value of 89.09%, indicating that the results are good and the Mean Absolute Percentage Error (MAPE) is 3.21%, indicating that the error percentage is low. While in the LSTM method, the R2 value is 98.44%, meaning that the prediction results have been predicted very well and the MAPE is 1.77%, indicating that the error percentage is very low. Keywords: XGBoost, Open Price, Prediction, LSTM, Stocks

Analysis of Bangka Culinary Business Development in Gading Serpong

Gading Serpong area is developing into a center of business, lifestyle, health and education then office buildings, worship facilities, culinary centers to meet the needs of housing and investment for residents of the capital and its surroundings. The culinary business is currently a big business and attracts many people because they like culinary and want to try local food from other regions and has high profit potential. The Bangka Culinary Business in Gading Serpong with several existing stores has continued to grow since 2018 coupled with the occupancy and community around so that the need for a variety of foods has also increased. This research method uses qualitative methods. While the results of this research conducted by interviews that Bangka culinary first opened in 2017 through a shop because at that time there were no Bangka cuisine rivals in Gading Serpong. The development of Bangka's culinary business continues to grow rapidly from 2018 until now because many are in demand by various groups of people, and the results of these interviews also show the satisfaction of visitors who visit snack shops or restaurants is very satisfied, both from products, services, and management according to existing business standards.

CRYPTOCURRENCY PRICE PREDICTION: A HYBRID LONG SHORT-TERM MEMORY MODEL WITH GENERALIZED AUTOREGRESSIVE CONDITIONAL HETEROSCEDASTICITY

Cryptocurrency is a virtual payment instrument currently popular as an investment alternative. One type of cryptocurrency widely used as an investment is Bitcoin due to its high-profit potential and risk due to unstable exchange rate fluctuations. This high exchange rate fluctuation makes trading transactions in the crypto market speculative and highly volatile. To overcome this volatility factor, this research used the Generalized Autoregressive Conditional Heteroscedasticity forecasting method to describe the heteroscedasticity factor, as well as a Recurrent Neural Network (RNN) with long-short-term memory that has feedback in modeling sequential data for time series analysis. The two methods are combined to overcome the dependency of time series data in the long term and the heteroscedastic effect of the volatility of price changes. The results of the GARCH-LSTM hybrid model in this study show a Mean Absolute Percentage Error (MAPE) value of 15.69%. The accuracy value is obtained from the division of training data by 80% and testing data by 20%, with the number of neurons as many as three and epochs of 100 using the Adam optimizer. The MAPE accuracy results show a good prediction in predicting the value.

Geometric Brownian Motion in Analyzing Seasonality of Gold Derivative Prices

Complex financial markets, influenced by complex and interconnected factors, require proper decision making. Gold derivatives, as an increasingly popular trading instrument, have experienced significant growth. However, with high profit potential also comes significant risk. Market analysis, including technical analysis and leveraging seasonality, can be an important tool in reducing risk and making smart decisions. This research aims to assess the effectiveness of the Geometric Brownian Motion (GBM) model in predicting Gold Derivative prices through the application of the Mean Absolute Percentage Error (MAPE) test.In this study, the Brownian Motion Geometric Method and Simple Moving Average are combined to analyze the seasonality of gold derivative prices to provide a view of price movement patterns. The results showed that the Brownian Motion Geometric Method was effective in predicting the price of gold derivatives, with a low error rate. In addition, seasonality analysis reveals monthly price movement patterns that can be a guide for traders and investors. This research provides valuable insights for decision making in gold derivatives trading in dynamic and complex financial markets.

Traveling with pets: designing hospitality services for pet owners/parents and hotel guests

PurposePet-friendly hotels are growing rapidly. The prevalence of pet adoption has largely resulted from the loneliness due to social distancing that happened during the Coronavirus disease 2019 pandemic. Many hotels around the world aim to become pet-friendly to satisfy the growing demand. Hoteliers believe that the popularity of pet-friendly hotels will continue, as pet owners often treat pets as their kids. This study aims to investigate how pet-friendly hotels need to design and manage pet-friendly services and policies.Design/methodology/approachUsing grounded theory methodology, this research conducts interviews with 25 pet-friendly hotel managers from Hong Kong (HK). The study includes hotels from different hotel categories and classifications. It examines the conceptualization of pet-friendly service design, drawing on a service blueprint.FindingsBuilding on the service marketing and service blueprint literature, this research provides a synthesis that reflects how pet-friendly hotels can serve both guests with and without pets. The findings reveal that pet-owner’s service expectations are formed on anthropomorphism, that is, an inclination of attributing human features to nonhuman entity. Hotel managers, and particular those who have pets personally understand better how pet-friendly service can be adapted to meet the expectations and requirements of pet owners while accommodating guests without pets. The market of pet-friendly hospitality is growing, with high profit potential from pet owners who are willing to spend generously.Research limitations/implicationsData were collected from selected pet-friendly hotels in HK through interviews with pet-friendly service providers. The research is qualitative and exploratory in nature. It aims to explore and examine the multilevel pet-friendly hospitality service design from a managerial perspective. This research enriches the literature on anthropomorphism theory, the design of pet-friendly services and the application of service blueprint.Practical implicationsThe research offers explicit suggestions for the design of pet-friendly hospitality services. A pet-friendly hotel service blueprint is developed. This can help managers to develop essential pet-friendly policies and service collaborations between internal departments and with external specialist organizations, maximizing the value for all stakeholders.Originality/valueThe study explores a rapidly emerging market and scrutinizes its specific design requirements. It extends theoretical insights by enriching the anthropomorphism theory and broadening the conceptualizations of service blueprint based on anthropomorphism theory.

IMPLEMENTATION OF MARKET BASKET ANALYSIS WITH APRIORI ALGORITHM IN MINIMARKET

The rapid growth of the retail business has an impact on increasing the economic growth of the community. The retail business has high profit potential in areas that have a large population such as Indonesia. A retail business that is popular among the public is a modern market retail business or convenience store. With the rapid growth, it gives a tendency between convenience stores to compete. By designing a marketing strategy is one of the efforts to win the competition in supermarkets. Management needs to understand the purchase behavior made by customers, this action is useful to find out the products that customers are popularly buying. Association algorithm is a form of algorithm in the field of data mining that serves to provide correlation between one item and another. there are several popular algorithms in applying association algorithms one of which is the a priori algorithm created by Agrawal and Srikant in 1994. To support the understanding of customer purchase patterns, it is necessary to implement market basket analysis that has the ability to recognize pattern patterns from transaction data in a convenience store. Performance in market basket analysis also needs to be tested to handle a lot of transaction data, considering that the recording of sales transaction data continues to run over time. The implementation carried out using flask is one of the implementations that is relevant to technological developments, this implementation results in a relatively short data speed with the factor that the magnitude of transaction data is middle to lower, which is 14,963 transaction data.

Effect of feedings with different protein levels and dietary supplemental rElGH on culture performances of sex reversed Oreochromis niloticus (Linnaeus, 1758)

This study aims to evaluate the culture performance of tilapia (Oreochromis niloticus) that have been treated with 17α-methyltestosterone (MT) and without MT (w-MT), feed with different protein levels (20, 24, and 28%) and recombinant Epinephelus lanceolatus growth hormone (rElGH)-diet. The research was conducted in 9 treatments and triplicate. Tilapia larvae were soaked twice, totaling 500 larvae, at the age of 10 days after hatching (DAH) and the age of 14 DAH was soaked for 4 hours using 1/l MT 2 mg/l solution. Fish maintenance was conducted in an aquarium of 1.0x0.5x0.5 m3 in the first month, and three months later in net cages (2.0x2.0x1.5 m3). Daily growth rate (DGR) and biomass gain (BG) were increased in line with increasing feed protein content and rElGH supplementation. The highest DGR and BG values were MT+28+rElGH (P 0.05) treatment. The highest feed consumption and the lowest feed conversion ratio were also obtained in the MT+28+rElGH treatment (P 0.05). Fish survival was ranged from 79.89 to 90.28% (P 0.05). The highest profit potential was found in the MT+28+rElGH treatment. The efficient aquaculture can be obtained by feeding sex-reversed tilapia at a protein level of 28% and a diet supplemented with rElGH.Keywords:Feed conversion ratioGrowth hormoneProtein retention17α-methyltestosterone

Growth Performance, Carcass Characteristics And Cost of Gain of Awassi And Karadi Lambs Slaughtered at Different Weight

The study was carried out to investigate the effect of slaughter weights on growth performance, carcass characteristics and cost of gain of Awassi and Karadi ram lambs. Fifteen male lambs from either Karadi or Awassi were randomly blocked by live weight into three different slaughter weight groups (30, 40 and 50kg). Each lamb was kept in individual pen and offered an iso energetic and iso nitrogenous concentrate diet ad libitum. Lambs were slaughtered once they reached a target weight. Results reported the weight at slaughter increased for both breeds, there were significant reductions in average daily gain, bone percent, lean: fat ratio and increase in rib eye area, feed conversion ratio, fat tail weight and fat thickness. Moreover, Awassi lambs had a higher (p<0.01) dressing percentage 1 (49.41±0.32vs.47.69±0.66%) and 2 (58.32±0.45 vs. 56.06±0.51%), fat thickness (3.10±0.24 vs. 2.46±0.15mm) and loin percentage (8.74±0.11 vs. 8.11±0.07%) than Karadi lambs. In contrast, Karadi lambs had a higher (p<0.01) proportion of bone and lean: fat ratio and lower (p<0.01) proportion of fat than Awassi lambs. There was no significant differences in daily weight gains, rib eye area, the empty body weight, fat tail weight and shrinkage percent between breeds. In conclusion, the optimal slaughter weight is 40kg for both Awassi and Karadi lambs and cost of gain of Awassi lambs was lower than Karadi lambs and from economic trends lambs slaughtered at 30kg had higher profit potential

RISIKO INVESTASI SAHAM SECOND LINER DENGAN TAIL VALUE AT RISK

This pandemic which has been going on for almost a year, is very influential in all fields. Economic growth and investment in all countries have been declined dramatically. Indonesian Composite Stock Price Index (CSPI) as an indicator of stock performance in Indonesia is weakening. Big caps stocks, which are usually the main driver for domestic bourses, fell sharply uncontrollably. However, second liner stocks managed to hold down the CSPI throughout 2020. This condition made many investors switch to stocks in this group. Low prices and high profit potential are attractive considerations. But high price fluctuations make investing riskier. Tail Value at Risk (T-VaR) as a measure of risk in a bad situation is the right measure so that investors can estimate the worst possibility and a larger reserve fund. The purpose of this study is to measure the investment risk in second liner stocks based on T-VaR. The six stocks of Pefindo 25 Index indicate that at a 95% significance level, the investment risk in second liner stocks will be in the range 6,14% - 8,22% of the investment.

Limitations of portfolio diversification through fat tails of the return Distributions: Some empirical evidence

This study investigates the level of risk due to fat tails of the return distribution and the changes of tail fatness (TF) through portfolio diversification. TF is not eliminated through portfolio diversification, and, interestingly, the positive tail has declining fatness until a certain level is reached, while the negative tail has rising fatness. This indicates that fat tails are highly relevant to common factors on systematic risk and that the relevance of common factors is higher for the negative tail compared to the positive tail. In the portfolio diversification effect, the declining fatness of the positive tail further reduces risk, but the rising fatness of the negative tail does not contribute to this effect. The asymmetry between the fatness of the positive and negative tails in the return distribution corresponds to the asymmetry of the trade-off relationship between loss avoidance and profit sacrifice that is expected as a consequence of portfolio diversification. Investors use portfolio diversification to reduce their risk of suffering high losses, but following this strategy means sacrificing high-profit potential. Our study provides empirical confirmation for the practical limitation of portfolio diversification and explains why investors with diversified portfolios suffer high losses from market crashes. An examination of the Northeast Asian stock markets of China, Japan, Korea, and Taiwan show identical results.

Status of Human Trafficking as Modern Day Slavery in South Asia

Human trafficking is one of the major crimes in the world after trafficking in arms and drugs and one of the fastest growing criminal enterprises because it holds relatively low risk with high profit potential. Causes that contribute to human trafficking are commonly believed to be related to poverty, globalization and economic disparities among countries. Human trafficking is the modern equivalent to slavery. It presents a dangerous threat to the human rights and human dignity of many people each year. To understand Human Trafficking and Modern Day Slavery. To understand how different conflict between SAARC Countries which fuels Human Trafficking, the study has been designed. It is a qualitative descriptive analysis of secondary information. It is simply a literature review of status of human trafficking as modern day slavery in South Asia.

Maize response to applied nutrients for West African savannas

AbstractMaize (Zea mays L.) grain production increased by 428% in Burkina Faso and 82% in Nigeria during the past 20 years primarily due to increased production area. To improve profitability, yield ha−1 needs to be increased. Yield response functions for nitrogen (N), phosphorus (P), and potassium (K) and response to a Mg–S–Zn–B (MgSZnB) treatment were determined from results of 16 studies conducted in the Sudanian and Guinean savannas in 2014 and 2015. Mean grain yield with no fertilizer applied and mean response to the economically optimum N rate (EONR) were 0.82 and 2.18 Mg ha−1 in Burkina Faso and 3.35 and 0.48 Mg ha−1 in Nigeria. There was little response to P and K. The EONR ranged from 45 to >120 kg ha−1 for Burkina Faso, with higher EONR for Luvisol compared with Ferralsol soil. The mean EONR for Nigeria was only 24 kg ha−1. The results indicated high profit potential for N application at the EONR in Burkina Faso, but less potential in Nigeria despite higher yields. Yield increases and net return to N could be increased by 72% for financially constrained farmers by applying the same amount of fertilizer N at 50% EONR to twice as much land. Yield was increased by 36% with compost and 40% with MgSZnB application in Burkina Faso but with no effects in Nigeria. The response to MgSZnB requires further investigation in Burkina Faso to optimize nutrient‐specific responses. Inconsistent responses to P indicate a new for more research.

Integrating bioenergy and food production on degraded landscapes in Indonesia for improved socioeconomic and environmental outcomes

AbstractGrowing bioenergy crops on degraded and underutilized land is a promising solution to meet the requirement for energy security, food security, and land restoration. This paper assesses the socioeconomic and environmental benefits of agroforestry systems based on nyamplung (tamanu) (Calophyllum inophyllum L.) in the Wonogiri district of Central Java, Indonesia. Data were collected through field observations and focus group discussions involving 20 farmers who intercrop nyamplung with maize, rice, and peanuts and utilize the species in honey production. Calculating each crop's net present value (NPV) demonstrates that when grown as monocultures, staple crops rice and peanuts lead to negative profitability, while maize generates only a marginal profit; yet honey production utilizing nyamplung produces a NPV nearly 300 times greater than maize. However, when utilizing nyamplung, honey is also the commodity most sensitive to decreases in production, followed by nyamplung–peanut and nyamplung–rice combinations. While decreases in production have little effect on the NPVs of rice, peanuts, and maize, these annual crops can only be cultivated for a maximum of 6 years within the nyamplung's 35‐year cycle, due to canopy closure after this time. Nyamplung‐based agroforestry systems can provide economic, social, and environmental gains on different scales. However, when considering the high profit potential of nyamplung combined with honey production, further research is needed to improve and develop bee husbandry practices so this becomes a viable option for local farmers.

Can Rare Cancer Drugs Expect Sales in Japan?: A Prescription Pattern Analysis of Drugs for Chronic Myelogenous Leukemia and Neuroendocrine Tumor

Despite high unmet medical needs, investment in rare cancer drug development has stagnated, likely because the potential market for such drugs is small. In this context, we hypothesized that rare cancer drugs could achieve a higher sales margin. A dataset was created from publicly available information obtained from the IQVIA Solutions Japan K.K. Pharmaceutical Market database on the website of the Pharmaceuticals and Medical Devices Agency/Ministry of Health, Labour and Welfare of Japan. The total amount of sales and prescription volumes between 2010 and 2016 for drugs whose indications include chronic myelogenous leukemia (CML) and neuroendocrine tumor (NET) were investigated. Regarding drugs for CML, the sales and prescription volumes of imatinib have been decreasing every year, whereas those of dasatinib and nilotinib have been increasing. Regarding drugs for NET, the sales and prescription volumes of sunitinib, everolimus, and streptozocin have been increasing every year. The present study revealed two sales models for the development of rare cancer drugs. First, sales amounts can be assured if clinical positioning with other existing drugs is sufficiently clear. Second, obtaining a label for rare cancers can stimulate drug development for more common cancers. These findings suggest that rare cancer drugs can offer high market value and profit potential; thus, to meet high unmet medical needs, clinical development programs for the development of rare cancer drugs should be promoted. https://doi.org/10.21423/jrs-v07shibata

Monitoring or Disclosure? The Role of Observability in Collaborative Projects

Many projects (such as innovation and new product development) often involve tight collaboration among several firms. The success of such initiatives depends on all firms committing resources and generating high quality outputs. We consider a setting with two firms engaging in a collaborative project and study two mechanisms by which one of the firms can increase the output observability in order to coordinate in both firms delivering high quality: monitoring the other firm's progress or disclosing her own progress to the other firm. We first develop normative predictions using game-theoretic models and find that when the project value is intermediate, a firm should choose monitoring; when the project value is high, she should be indifferent between monitoring and disclosure. To test the normative prediction, we conducted a laboratory experiment. We find that firms mostly choose monitoring regardless of the project value. However, choosing disclosure does not necessarily lead to a lower profit for a firm. In fact, when the project value is high, choosing disclosure has a higher profit potential than monitoring. This is due to a framing effect: the partner firm – who observes the progress of the firm who chooses to disclose – is willing to choose a higher quality. Overall, disclosure leads to higher profits for the partner firm, and is preferred by firms who are intrinsically surplus maximizers. This implies profitable opportunities for firms if they have a chance to choose the more open firms (who are prone to disclose their progress) as their project partners, ceteris paribus.

Estimating economic and environmental trade-offs of managing nitrogen in Australian sugarcane systems taking agronomic risk into account

Use of chemical agricultural inputs such as nitrogen fertilisers (N) in agricultural production can cause diffuse source pollution thereby degrading the health of coastal and marine ecosystems in coastal river catchments. Previous reviewed economic assessments of N management in agricultural production seldom consider broader environmental impacts and uncertain climatic and economic conditions. This paper presents an economic risk framework for assessing economic and environmental trade-offs of N management strategies taking into account variable climatic and economic conditions. The framework is underpinned by a modelling platform that integrates Agricultural Production System sIMulation modelling (APSIM), probability theory, Monte Carlo simulation, and financial risk analysis techniques. We applied the framework to a case study in Tully, a coastal catchment in north-eastern Australia with a well-documented N pollution problem. Our results show that switching from managing N to maximise private net returns to maximising social net returns could reduce expected private net returns by $99 ha−1, but yield additional environmental benefits equal to $191 ha−1. Further, switching from managing N to maximise private returns in years with the highest profit potential (hereafter, good years) to maximising mean social net returns could reduce expected private profits in good years by $277 ha−1, but yield additional environmental benefits equal to $287 ha−1. We contend that it is essential to incorporate farmer risk behaviour and environmental impacts in analyses that inform policies aimed at enhancing adoption of management activities for mitigating deterioration of the health of coastal and marine ecosystems due to diffuse source pollution from agricultural production.

Development strategy of culinary business employing the Blue Ocean Strategy (BOS)

Culinary business development is now growing quite rapidly, Surabaya became one of the target markets of domestic and foreign businessmen in culinary business. The high competition in the culinary business is a powerful reason to apply the right business strategy to be able to survive and win the competition. One of the method that can be used in offering business strategy is the Blue Ocean Strategy (BOS). By identifying the strengths, weaknesses, opportunities and threats (SWOT) of the business strategy and then designing the blue ocean strategy which is taken as a metaphor to represent these industries that may offer greater opportunity or higher profit potential. This is the goal of blue ocean strategy, to search for and gain unexplored market space instead of engage in traditional competition. The object of observations in this study is spicy noodle business. This study aimed atdeveloping a business strategy formulation with BOS and providing alternative solutions for business development to the management that agree with the socio-cultural conditions of Surabaya. The results showed that there are two strategies that should be eliminated, like the strategiesof offeringfranchise without royalty fees and no separation of smoking and non-smoking area. There are three strategies that should be reduced, such as reducing educative wall posters, reducting door prizes and photo contest, and reducing the amount of franchise. There are six strategies that can be improved, namely increasing serving time, being efficient of tables arrangement, providing employment for local residents, strategic location closes to several colleges, photobooth (selfie corner) for consumers and increasing the uniquenessconcept of the shop. The alternative solutions of business development can be done by adding facilities such as Wi-Fi connection and air conditioning (AC) installationto comfort theconsumers,guest comment (online and offline suggestion box), and membership (visitors’ ID).

The price-volume relationship for new and remanufactured smartphones

Despite the rapid expansion of secondary markets for remanufactured electronic goods, the understanding of their empirical dynamics such as the price-volume relationship is still rather limited. In this study, we investigate such dynamics over time for new, manufacturer- and seller-refurbished smartphones using data from eBay UK and eBay US. We find significant negative relationships between price and volume for new smartphones indicating that the profit potential of such markets for sellers is limited. We show, instead, that the price-volume relationships for remanufactured smartphones are positive and significant – suggesting that the secondary markets for such items are potentially highly profitable. Overall, our empirical results suggest that the UK markets have higher profit potential than their US counterparts. The proposed analysis is a further step toward a better understanding of the price dynamics of new and remanufactured smartphones – and it enables both manufacturers and OEMs to better evaluate the profit potential of one of the fastest growing segments of consumer electronic goods.

Pearl Millet and Sorghum Yield Response to Fertilizer in the Sahel of Burkina Faso

Sorghum (Sorghum bicolor L. Moench) and pearl millet (Pennisetum glaucum (L.) R. Br.) were domesticated in Africa for human consumption and are often the dominant cereals in semi-arid areas where yield is constrained by soil water deficits, nutrient deficiencies, and other constraints. Research was conducted to quantify yield responses and profitability of sorghum and pearl millet produced in the Sahel of Burkina Faso to fertilizer N, P, K, and a Mg-S-Zn-B diagnostic treatment. Mean yields across trials were 1.2 and 0.9 Mg ha-1 for pearl millet and sorghum, respectively. The effects of N, K, the diagnostic treatment, and interactions were not significant for both pearl millet and sorghum. There was a mean curvilinear to plateau response to P for pearl millet and a linear response to P for sorghum. The economical optimal P rates for pearl millet were modest, ranging from 6 to 33 kg ha–1 at 100% of the rate to maximize net returns per ha to P application when the cost of using fertilizer P was high and low, respectively, relative to the grain price (Table 4). The application of P for pearl millet had high profit potential even with a high cost P use scenario. For sorghum production, P application was not profitable if the cost per kg of fertilizer P use exceeded the value of 9 kg of sorghum grain. The results, therefore, indicate a high and low profit potential for P applied for pearl millet and sorghum, respectively, in the Sahel of Burkina Faso.

Decision Model for Market of Performing Arts with Factorization Machine

Performing arts and movies have become commercial products with high profit and great market potential. Previous research works have developed comprehensive models to forecast the demand for movies. However, they did not pay enough attention to the decision support for performing arts which is a special category unlike movies. For performing arts with high-dimensional categorical attributes and limit samples, determining ticket prices in different levels is still a challenge job faced by the producers and distributors. In terms of these difficulties, factorization machine (FM), which can handle huge sparse categorical attributes, is used in this work first. Adaptive stochastic gradient descent (ASGD) and Markov chain Monte Carlo (MCMC) are both explored to estimate the model parameters of FM. FM with ASGD (FM-ASGD) and FM with MCMC (FM-MCMC) both can achieve a better prediction accuracy, compared with a traditional algorithm. In addition, the multi-output model is proposed to determine the price in multiple price levels simultaneously, which avoids the trouble of the models’ repeating training. The results also confirm the prediction accuracy of the multi-output model, compared with those from the general single-output model.