Optimal Portfolio Construction Using Bitcoin, Gold, LQ45 Index, and Indonesia Bond Index

/in /by

Cryptocurrencies are significant improvements in the digital age that have changed the way we think about money. The first cryptocurrency was Bitcoin, introduced in 2009 and was created by Nakamoto. Due to their potential ups and downs, many people now think that cryptocurrencies are appropriate for use as an investment instrument, especially millennials who are attracted to higher-risk investment alternatives. A number of different investing options such as cryptocurrencies, gold, and other conventional assets like equities and bonds have unique characteristics and advantages. It’s essential for investors to understand the similarities and differences between cryptocurrencies and other assets in order to create diversified portfolios.

In this study, the optimum portfolio will be constructed using Bitcoin, Gold, LQ45 Index, and ABF IBI as the representative of Indonesia Bond Index. Mean-Variance Optimization will be used as an asset allocation method, and will be compared to the other methods such as Risk Parity, 60/40 Portfolio, and Equally Weighted to find a better risk-adjusted return. The Sharpe ratio analysis is used to evaluate the portfolio performance resulting from every method. The investment strategy will be simulated to know which strategy will result the best total return in the end of simulation period.

According to risk, return, and the Sharpe ratio, Bitcoin could perform better than gold, LQ45, and ABF IBI. Furthermore, the Mean-Variance Optimization resulted the highest Sharpe ratio compared to the other methods. The optimal weight from the portfolio construction using Mean-Variance Optimization allocated 53% to ABFI index, 40% to Bitcoin, and 7% to gold, which resulted 48.2% portfolio return, 40.44% portfolio risk, and 1077.8% Sharpe ratio. From the investment strategy simulation, the quarterly rebalancing strategy was found to be the best strategy with the total return 223.36%.

Proposed Marketing Strategy for Coffee Shop in Jakarta

/in /by

Most Indonesian people, especially the millennial generation, has adopted hanging out and drinking coffee into their way of life as a way to support their daily activities. coffee consumption hit 3,3 million bags @60kg, and the end of the year of 2021 it reached 5 millions of bags. Sicangkir Coffee is a coffee shop that placed in Pasar Minggu, South Jakarta which following the trend since 2018. After Pandemic covid-19 hit indonesia in 2020, sicangkir sales decline a lot and trying to regain the sales they used to have. Sicangkir have challenges due to proliferation of coffee shops in Jakarta.

Finding an appropriate marketing strategy to improve Sicangkir Coffee sales is the goal of this study. Internal and External analysis is carried out to understand business problem broadly and deeply. Analysis of the internal focus on STP (Segmenting, Targeting and Positioning) and Marketing Mix (7P), while the external analysis focus on PEST analysis, Porter Five Forces and Competitor Analysis. In this research both primary and secondary data were collected for analysis. All the analysis result are summarized in SWOT framework (Strenghts, Weakness, Opportunitites and Threats) and further analyzed using TOWS matrix to generate several strategies proposals.

Regional Differences and Sociodemographic Factors Associated with Cesarean Section Delivery in Bangladesh through Multilevel Poisson Regression Model

/in /by

Cesarean section is the most challenging issue not only in developing countries but also in developed countries because it is increasing at an alarming rate worldwide, where the majority of cesarean sections are unnecessary. Unnecessary cesarean delivery in Bangladesh is widespread and is responsible for long-term and short-term health complications for both mothers and children. This study aimed to assess regional differences and sociodemographic factors associated with cesarean section delivery in Bangladesh. The most recent Bangladesh Demographic and Health Survey 2017-18 data was used in this study. A total of 5,299 ever-married women who gave birth within the three years preceding the survey were analyzed. A multilevel Poisson regression model was used to identify the sociodemographic factors associated with cesarean section deliveries in Bangladesh. The prevalence of cesarean section deliveries was about 33.0%. The result showed that women’s aged 30-36 years (IRR = 1.11, 95% CI = 1.01–1.22), women’s secondary education (IRR = 1.52, 95% CI = 1.14–2.02), higher secondary education (IRR = 1.82, 95% CI = 1.35–2.47), partner’s secondary education (IRR = 1.28, 95% CI = 1.05–1.57),  higher secondary education  (IRR = 1.54, 95% CI = 1.25–1.91), women living in the Dhaka division (IRR = 1.22, 95% CI = 1.04–1.43), women living in the Khulna division (IRR = 1.36, 95% CI = 1.15–1.60), and women living in the Rajshahi division (IRR = 1.26, 95% CI = 1.06–1.51), middle wealth index (IRR = 1.31, 95% CI = 1.13-1.52), richest wealth index (IRR=1.59, 95% CI=1.37-1.84) and exposure to mass media (IRR = 1.45, 95% CI = 1.27–1.64)  were significantly more to deliver by cesarean section. Therefore, attention to women’s age, education, partner’s education, division, wealth index, and exposure to mass media might help policymakers make appropriate strategies and policies that would contribute to avoiding unnecessary cesarean section deliveries in Bangladesh.

Reducing the Delayed Lead Time of Purchase Requisition to Purchase Orders for Standard Part Commodity in the Procurement Department of the Avionics Sector

/in /by

The efficiency and effectiveness of procurement processes perform a critical role in the smooth operation of organizations, particularly in industries with intricate supply chains, such as the aviation sector. This thesis focuses on the delayed lead time of purchase requisitions to purchase orders for standard part commodities inside Procurement Department. Through a comprehensive analysis of the procurement workflow, data collection, and interviews with key stakeholders, this study aims to identify the root causes and consequences of the delayed lead time in the procurement and also determine the best strategy supply chain for the procurement department. The root cause reveals several factors that contribute to the delayed lead time, such as ineffective and inefficient processes, manual working procedures, particularly in the negotiation and evaluation process between buyer and Supplier, bureaucracy in the document, poor in managing and updating the data of requirements supplier, no back up for new prospect supplier, and a lack of monitoring and communication between internal and external departments. Furthermore, the consequences of this delay include delays in following processes in other departments, increasing the potential of product delivery delays to clients, and affecting customer satisfaction. Based on the findings of these studies, several business solutions have been proposed to address these challenges. The conclusion of the entire analysis process is the implementation of e-procurement with a vendor management system. By implementing these suggestions, the Procurement Department significantly reduced the lead time by 65%. The benefits obtained lead to increased operational efficiency, reduced possibility of product delays to consumers, and increased customer satisfaction.

Virtual Mouse and Keyboard for Computer Interaction by Hand Gestures Using Machine Learning

/in /by

Human-computer interaction has changed since the advent of computer technology. Gestures are a useful way to communicate, and the Covid-19 era had an impact on us. Both the keyboard and the mouse are tools used to communicate with computers. Here, we’ve attempted to use hand gestures to interact with the mouse and keyboard. Eventually, get rid of the electronics. Consequently, use a virtual keyboard and your finger to move the mouse cursor. Using different hand gestures, actions like clicking, dragging, and typing data will be carried out.
A webcam is the IOT device required to accomplish this. The output from the camera will be displayed on the system’s screen so that the user can fine-tune it. We employ tools like Python, Media- Pipe, and Open-CV. The Media-Pipe library offers features that improve the model’s effectiveness and is particularly helpful in AI projects. The user will be able to move the computer cursor with various hand motions, type on the virtual keyboard while holding coloured caps or tapes, and left-click and drag objects. In this research, we suggest a hand gesture detection system for a natural human computer interface that can control a virtual mouse and keyboard.

Pharmaceutical State-Owned Enterprises Holding Formation Performance Assessment

/in /by

Along with being a business focused on making a profit, State-Owned Enterprises (SOE) also have additional responsibilities to assist national economic progress and engage in accelerated development. There are many tactics that can be used to improve SOE performance, such as restructuring by creating a SOE holding. So that the management could operate as effectively as possible, several SOEs that were active in the same industry were reorganized into holding corporations. The goal of this study is to assess and examine the financial performance of SOE pharmaceutical firms using financial ratio analysis and SOE Financial Scoring of Healthiness level that include PT Bio Farma (BIOF), PT Kimia Farma (KAEF), PT Indofarma (INAF) and as Consolidation basis before and after restructuring through the establishment of a holding in 2017-2022. Calculations were also carried out employing the paired t-test statistical technique during the time prior to holding in 2017-2019 and after holding in 2020-2022 to determine significant differences. The findings show that the financial ratios of pharmaceutical SOEs during the period before and after the holding formation in 2017-2022 mostly are deteriorating and the healthiness level from healthy become less healthy. However, using paired t-test, the holding formation has no significant influence on financial performance profitability, leverage, or liquidity when it be analysed for each SOE. However, when viewed as a consolidation basis, the ROI before and after the holding configuration was significantly different.

Drivers of Stock Market Development in Nigeria: Does Openness Matter?

/in /by

The stock market represents a major source of long-term funds. However, the Nigerian stock market lacks depth due to the weak regulatory system and legal framework. Extant studies have shown that both institutional quality and openness are enablers of the stock market. An analysis of the effects of institutional quality and openness on the development of the Nigerian stock market from 1996 to 2021 is therefore crucial. The Auto Regressive Distributive Lag (ARDL) method is used to analyze data from World Bank databases and the Lane-Milesi Ferreti index, with results showing that institutional quality has a positive and significant impact on stock market development in Nigeria. Meanwhile, development of the stock market, institutional quality, and openness are related over the long term based on the ARDL bounds test. A further finding revealed that the development of Nigeria’s banking sector and the exchange rate had positive (negative) effects on the development of the stock market, respectively. Additionally, stock market liquidity contributed to development of the market. This study came to the conclusion that an enabling stock market in Nigeria could be strengthened by the interaction of institutional quality and openness. The study concludes that strengthening Nigeria’s governance institutions through the creation of an appropriate legal framework is necessary to ensure political stability and the absence of violence in the country’s political system. Besides, the government really needs to grant autonomy to agencies in charge of tackling corruption to enable them to enjoy simultaneous openness. Monetary authorities should also ensure exchange rate stability and improved credit for domestic investment activities.

Performance Improvement of Procurement Activities in Reaching KPI On-Time Delivery and Purchase Requisition to Purchase Order by Implementing E-RFQ Tools and Developing Team Collaboration and Communication

/in /by

Procurement activity in for an aircraft industry in Indonesia has suffered most during pandemic few years ago. The progress of Procurement at certain company is not that different. Moreover, one of the main problems in Procurement Division at the company is KPI On-Time Delivery target has not yet been achieved for aircraft commodities, especially for AEI. During these last 5 years, the procurement progress only achieved 48,5% on time, while the target is above 90% of total procurement activity. So far, mitigations has already been taken in order to reduce the delay rate. It give an impact, but the delay rate is higher than the target. The purposes of this study is to increase the On-Time progress and decrease the delay. this study uses conduct several analyses. Internal analysis using SWOT analysis method, while finding the root cause use method 5 Why’s Analysis method. Also, there are quantitative analysis and qualitative analysis. Qualitative analysis is done by using DMAIC Method to analyze the problem in a larger scope, while quantitative analysis is done to analyze the procurement data with Regression Analysis. The root cause of it was PR which could not be converted to PO because of the long-lasting RFQ and EQ process. The second root cause is miscommunication in the preparation of ordering aircraft materials. For the issue of the RFQ and EQ process is solved by developing and using e-RFQ Evaluation Tools to make sure that the quotation process and feedback from the supplier are done faster than using the manual method. For the miscalculation problem with improving teamwork and communication. The recommendation is to conduct research further regarding strategy purchasing.

Investment Project Analysis of a Medium Range (MR) Tanker Ships Purchase in an Attempt to Maintain the Economic Productivity of the Company (Case Study: PT XYZ)

/in /by

PT. XYZ is a spin-off charter out business of its host company that specifically focuses on providing charter out services in the shipping industry. This research was carried out in response to the requirement to rejuvenate the vessels owned by PT XYZ taking into consideration the age of the ships. In total, there will be 7 ships that was used as an object of this research, considering the replacement program options of either acquiring newbuild vessels or secondhand ships. Newbuild Ship investment will use a 9.09% hurdle rate, including the weighted average cost of capital (WACC) of 7.09% and a risk premium of 2% in the analysis. This hurdle rate will be used as comparative data to the required rate of return for the related project (IRR>Hurdle Rate). There is a total of 2 ship in the overall project that will be replaced with a newbuild ship, Project 1 and Project 2. These investment projects will be conducted from 2024-2026 period. The capital structure for newbuild projects consisted of 75% debt and 25% equity. Secondhand ship investment will use an 9.59% hurdle rate, including the weighted average cost of capital (WACC) of 7.09% and a risk premium of 2.5% in the analysis. There is a total of 5 ships in the overall project that will be replaced with secondhand ship, Project 3-7. These investment projects will be conducted from 2024-2026 period. The capital structure for secondhand projects consisted of 75% debt and 25% equity. Based on the financial assessments of the projects, the findings consistently demonstrate positive results. As a result, it can be inferred that the seven projects are both viable and feasible to undertake. The primary objective is to guarantee that these projects make a positive contribution to the company’s economic productivity.

Shariah Stocks, Sukuk, and Shariah Mutual Funds on the Economic Growth of Indonesia: The Role of Exchange Rate

/in /by

This study aims to analyze the influence of Shariah stocks, Sukuk, and Shariah mutual funds on Indonesia’s economic growth during 2012-2021, with the exchange rate as a moderating variable. The research utilized a quantitative approach and secondary data from the Financial Services Authority, the Central Statistics Agency, and the Bank of Indonesia. Descriptive statistics, normality tests, multicollinearity tests, autocorrelation tests, heteroskedasticity tests, and multiple linear regression analyses were employed to test the hypotheses. The findings revealed that Shariah stocks, Sukuk, and Shariah mutual funds significantly impacted Indonesia’s economic growth. Individually, Sukuk and Shariah mutual funds positively influenced economic growth, while Shariah stocks did not have a significant effect. Furthermore, the exchange rate moderated the relationship between Shariah stocks, Sukuk, and Shariah mutual funds and economic growth. The implications of this study highlight the importance of developing the Shariah financial market in Indonesia and the need for supportive policies to foster its growth. However, this study is limited by secondary data and a limited period. Future research should consider expanding the scope of data and extending the time frame to gain a more comprehensive understanding of the influence of Shariah stocks, Sukuk, and Shariah mutual funds on Indonesia’s economic growth.