Translation of Outdoor Signs in Nusa Dua Beach Area

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This research was conducted to have a closer look at Linguistic Landscape in one of coastal areas of Bali, Indonesia. It specifically conducted with the aim of analyzing the translation of outdoor signs, in the form of notice or information boards. This research also examines translation shifts occur within those outdoor signs.

This research is a qualitative descriptive study. The method applied for this research is observation method and include image capture and also note-taking technique. The problem formulated in this research applies Linguistic Landscape theory by Landry and Bourhis and also Translation Shift theory by Catford and  Simatupang.

The result of the research found that the form of translation of the outdoor signs in Nusa Dua beach area can be seen in the form of Notice board, cemented sign, or colored banner which has function to give information or warning to the people who visit the area. It also can be found that the shift occurs in the translation of the outdoor signs consists of structure and meaning shift.

Vendor Selection in the Cosmetic Industry using Analytics Hierarchy Process (A Case Study of Saejiva Company)

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The Indonesian fragrance industry, under the cosmetic industry, is growing, with an increasing income per capita in the perfume category, despite a dip in 2020. The global natural fragrance market, growing at an estimated 9% CAGR from 2023 to 2032, shows a strong preference for essential oil-based fragrances. Essential oils, derived from natural plant parts, are costly to produce due to large-scale machinery, skilled labor, and environmental factors. Companies often outsource these aspects to reduce costs and focus on core competencies like marketing and sales. Saejiva, a natural fragrance brand, currently faces challenges in vendor selection, experiencing issues with inefficiency, delays, and poor product quality from previous vendors, has the effect of reducing potential profits and necessitating a reevaluation of their vendor choices. This study uses the Analytical Hierarchy Process (AHP) to help Saejiva select a new vendor by prioritizing criteria that meet the company’s requirements and recommending the best vendor. Data was collected through literature reviews to identify relevant criteria, Focus Group Discussions (FGD) to find essential criteria for the company, and AHP questionnaires. Saejiva’s C-level executives acted as experts in the FGDs and AHP questionnaires to determine criteria priorities and vendor alternatives. The results showed the importance levels of criteria as follows: capability (0.3668), quality (0.1848), cost (0.1382), service (0.1068), capacity (0.0654), delivery (0.0606), warranty (0.0525), and performance history (0.0249). The importance levels of vendor alternatives were SKI (3.1994), AVF (2.7415), and SHB (2.0591). Thus, the best vendor recommended for Saejiva is SKI as the next vendor.

 

Factors Influencing Intention to Adopt Generative AI Tools in Indonesian Enterprise Users

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Indonesian enterprises are in the early stage of adopting generative AI tools. A report from Forbes shows that AI companies around the world have raised around $354 billion for Generative AI technology. One of the key drivers of those funding is to capitalize on the growing market demand. Market demand in Indonesia for Generative AI technology is explored by studying the intention to adopt such tools among enterprise users. Quantitative study reveals that perceived ease of use is a factor influencing the user’s intention to adopt Generative AI Tools in Indonesian enterprises. Recommendations for further research includes exploring more predictive factors and reaching broader target audiences for the study.

Designing Social Media Marketing Strategies Targeting Generation Z for Subsidized Housing in Indonesia (A Case Study of Pt. Graha Putra Asido)

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PT. Graha Putra Asido, a housing company in Pematangsiantar, focuses on subsidized housing but lacks a targeted marketing strategy, with only 22.22% of their buyers being Generation Z despite this group dominating Indonesia’s subsidized housing program. To avoid market loss and capitalize on Gen Z’s significant social media usage, this research is done, aiming to propose appropriate marketing strategies tailored to Generation Z preferences and behaviors to enhance PT. Graha Putra Asido’s market reach and engagement, using the P.O.S.T method and a touch on P.O.E.M Strategies. Through a mixed-method approach, including a market survey and key informant interviews, the study explores Gen Z’s social media patterns, preferences, and the company’s current marketing strategies. The research concludes with a comprehensive plan, including a Gantt chart, to achieve three main objectives by implementing targeted social media strategies, such as optimized posting schedules, platform-focused content, engaging visuals, influencer partnerships, and interesting campaigns tailored to Generation Z preferences.

The Impact of Selected Financial Ratios on The Market Performance of Listed Companies on The Acceleration Board Indonesia Stock Exchange (Period 2020-2023)

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This research aims to analyze the impacts of selected financial ratios on the market performance of listed companies in the Acceleration Board IDX (Period 2020-2023) and find if IDX need  to add the financial requirements in IDX Listing Regulations no. I-V to increase the company’s market performance in Acceleration Board IDX. The data of selected financial ratios and market performance were collected from the publication of listed companies’ financial reports and market trading data in 2020-2023 that can be accessed publicly on IDX’s official website. The population in this research is the whole Acceleration Board listed companies that were listed in IDX from 1st January 2020 – 31st December 2023. The samples used are limited to companies listed in Acceleration Board IDX period 2020-2023. Multiple regression analysis is used in this research to examine the relationship between the dependent variable and two or more independent variables. From five independent variables, partially, only the Net Profit Margin has a significant impact on the company’s market performance (stock price). From the results of the ANOVA test, there is a simultaneous significant effect of the independent variables ROA, ROE, DER, NPM, and Cash Flow from Operation on the dependent variable Market Performance (stock price).

Unlocking Hidden Demand: Utilizing Computer Vision for Street-Hailing Optimization in a Taxi Company in Jakarta

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Despite the technology disruption from online ride-hailing, street-hailing is still popular among certain people in Jakarta, the capital city of Indonesia. However, the traditional street-hailing faces several challenges for the taxi operators. Unlike ride-hailing apps where customers and drivers are matched and recorded digitally, street-hailing often lack visibility into street demand that is not always successfully picked up, which can lead to inefficiencies in fleet utilization, highlighting a significant operational gap between traditional taxi services and modern ride-hailing platforms.

Artificial Intelligence (AI) and Computer vision (CV) technologies offer a transformational approach to improve visibility and identify the unmet demand for street-hailing within urban transportation in Jakarta. Prior to its implementation, it is important to assess the potential business impact from deploying this digital innovation. This research highlights inference statistics combined with qualitative analysis to evaluate the potential demand that can be captured through CV systems. By leveraging historical taxi trajectory data and interviewing drivers and customers, we aim to uncover patterns and estimate unmet demand to ensure the system development will impact the taxi business and improve the service efficiency and customer satisfaction. This preliminary analysis serves as a foundation for strategic planning of CV system for street-hailing detection implementation.

Study Case: Company Valuation and Forecasting Financial Trends at PT PP London Sumatera Indonesia (LSIP)

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PT PP London Sumatra Indonesia Tbk (LSIP) is a company that has been established in Indonesia since 1906 and started its IPO in 1996 with an IPO price of Rp4.650 for each share. Even though the company’s performance is going well and the trend of palm oil consumption in Indonesia is increasing, the share price of PT PP London Sumatra Indonesia Tbk has fluctuated and even decreased when compared to the initial IPO price and share prices in the last 5 years. So this raises the question of how the company’s stock performance will be in the next few years. In this research, the author begins by analyzing the macro-environment which may have an impact on the company and industry, then the author carries out an analysis of the financial statements of the company and its competitors. Apart from that, the author also tries to forecast the company’s financial performance and then continue with company valuation analysis using the discounted cash flow method. After getting the valuation results, the author tries to see the company’s level of sensitivity using scenario analysis and also carries out capital structure analysis to find the optimal capital structure. Based on the results of financial performance analysis, Lonsum (LSIP) has better financial performance compared to its competitors except for assets turnover. And then based on the results of discounted cash flow analysis, this company is not yet worthy of being a place for us to invest. And the last based on all the results of the previous analysis, when compared with competing companies, LSIP is a company that has quite a lot of potential as a place to invest. However, currently the company still has to look for a catalyst in order to become a company that is worthy of being a place for us to invest.  Based on the result, the author suggest the reader to continue to collect information related to PT PP London Sumatra Indonesia Tbk, other competitors and plantation in similar industries to find catalysts that have positive impact on the company, and invest when the company has a positive catalyst.

The Relationship between Key Factors and Gen Z Employee Retention in Indonesian FMCG Start-Ups

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This study investigates the factors relationship between turnover intention and employee retention of Generation Z employees in the workplace, using a combination of qualitative and quantitative research methods. Data were collected through interviews and surveys, followed by a comprehensive analysis employing descriptive statistics, and multiple linear regression. The qualitative findings highlight significant financial needs, high expectations of career advancement, and the adverse impact of long working hours on job satisfaction and retention. Quantitative analysis identifies financial opportunities, comprehensive employee benefits, and a sense of being financially rewarded as major factors contributing to economic security and retention. Work-life balance and an open, collaborative company culture, characterized by effective communication and teamwork, also play critical roles in enhancing job satisfaction and loyalty among Gen Z employees. The study reveals that financial factors, work-life balance, and organizational culture significantly impact retention rates. Furthermore, it emphasizes the interconnectedness of these variables, noting how unmet financial needs and unrealistic career expectations can lead to job dissatisfaction and increased turnover. The research concludes with recommendations for longitudinal studies, comparative research, and intersectional studies to further understand the evolving and diverse needs of Gen Z employees. Implementing robust career development programs and addressing financial needs are crucial strategies for start-ups aiming to retain young talent in the long term.

Strategic Business Adaptations and Growth Opportunities for Cahya Bali Resort in Bali’s Competitive Coastal Environment

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This research analyzes the strategy adaptation and growth opportunities for Cahya Bali Resort in a high-competitive property industry in Bali. The research focuses in identifying factors that influence customers’ purchase decision in deciding to purchase property in Bali and to find the gaps between the factors that is considered important by customers and the factors that is perceived by PT. CBR as the important factors for customers. The need of this research arises from the stagnant sales in the project.

The research employs quantitative and qualitative methods. The quantitative data is collected through a questionnaire that is participated by 178 respondents with various demographic segments. The results are analyzed descriptively using the cross-tabulation method. The qualitative data gathering is conducted to further explore the factors and to triangulate the data from questionnaires. The qualitative data is conducted by interviews with both external and internal parties that are involved in Cahya Bali Resort. From the interview result, the data is analyzed with coding method to explore the factors that appears the most.

This research employs the 7Ps marketing mix approach as the parameter of the factors and suggested that there are gaps of between the factors that is perceived important by customers and by the management of PT. CBR. For customers, the important factors involve Place, Price, People and Product category. While for the management of PT. CBR, the important factors involve Place, People, Price, and Product. Although it may seem similar but the sub-factors in the 7Ps marketing mix differs between customers and the management of PT. CBR. The gap identification calls for strategy adaptations to answer customer. Further to the strategy adaptation, this research also suggested the growth opportunity for Cahya Bali Resort.

The Effect of Alpha Olefin Sulphonate (AOS) Surfactant Injection on Sandstone Rock on Increasing Oil Recovery with Variations in Salinity, Concentration, and Temperatures: A Laboratory Study

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In this study, Alpha Olefin Sulphonate (AOS) surfactant was injected. This laboratory test aims to verify the correlation between a surfactant solution’s low IFT value and its ability to yield a high oil recovery value. The salinity used in this research was 5000 ppm and 15000 ppm. Then it was mixed with AOS surfactant at concentrations of 0.5%, 1%, and 2%. At the same time, the temperatures used are 30 °C and 60 °C. After testing, it was found that a solution with a salinity of 15,000 ppm and a surfactant concentration of 2% had the lowest IFT value and was proven to have a total RF of 73%.