Portfolio Optimization Using Markowitz Model on Sri-Kehati Index

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This thesis investigates the portfolio optimization process using the Markowitz model on the SRI-KEHATI index, an esteemed sustainable investment index. The study aims to explore the potential advantages of incorporating environmental, social, and governance (ESG) factors into portfolio construction. By leveraging historical financial data and reliable ESG metrics, this research develops optimized portfolios that strike a balance between risk and return while adhering to the sustainability criteria of the SRIKEHATI index.

The methodology encompasses the collection of credible ESG data and financial information for the constituents of the SRIKEHATI index. The Markowitz model is subsequently employed to analyze the risk and return characteristics of each asset within the portfolio. Through the application of optimization algorithms, the study seeks to identify the optimal asset allocation that maximizes risk-adjusted returns, taking into account the ESG criteria outlined by the SRI-KEHATI index.

The outcomes of this research provide valuable insights into the effectiveness of portfolio optimization techniques within the realm of sustainable investing. By considering both financial metrics and ESG factors, investors can construct portfolios that align with their sustainability objectives while optimizing risk and return. The findings shed light on the performance of the optimized portfolios and compare them with conventional approaches, thereby demonstrating the potential benefits of integrating ESG considerations into portfolio decision-making.

Additionally, this study examines the practical implications associated with implementing sustainable portfolio strategies based on the SRI-KEHATI index.

Overall, this thesis contributes to the expanding body of knowledge on sustainable investing and portfolio optimization, specifically focusing on the SRI-KEHATI index. It provides valuable insights for investors, asset managers, and policymakers interested in sustainable investment strategies. Furthermore, it offers a framework for incorporating ESG considerations into the portfolio construction process using the Markowitz model, thereby aiding in the development of more robust and sustainable investment portfolios.

Digital Strategy to Improve Client Acquisition in Mobile Advertising Company: Case Study of Tyrads Pte Ltd

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This qualitative research study examines Tyrads, a mobile growth agency, and proposes a digital strategy to help the company gain a competitive advantage as a user acquisition solution. Through in-depth interviews with key stakeholders and analysis of Tyrads’ operations, the research provides insights and recommendations for Tyrads and other stakeholders in the mobile growth agency industry.

In today’s digital landscape, mobile devices have become indispensable, enabling individuals to engage in various economic and societal activities. However, the increasing reliance on mobile devices has created a greater demand for effective user acquisition solutions. Tyrads, under the leadership of Zino Rost Van Tonningen, aims to address this demand as a mobile growth agency. Nonetheless, Tyrads faces the challenge of attracting clients and differentiating itself from established ad agencies and emerging ad tech companies.

To overcome these challenges and gain a competitive edge, this research proposes a comprehensive digital strategy for Tyrads. The analysis yields key strategies recommended for implementation:

Firstly, Tyrads should leverage digitized solutions and an operational backbone to streamline processes and enhance efficiency. Tyrads can optimize its operations and effectively manage client campaigns by embracing technology and digital tools.

Secondly, forming strategic partnerships with non-gaming platforms is crucial for Tyrads’ expansion. These partnerships would grant access to diverse inventories and allow Tyrads to broaden its service offerings to finance, e-commerce, and travel clients.

Addressing regulatory challenges, such as sandbox regulations and diminishing cookie tracking, is essential. Tyrads needs to manage first-party data and diversify its marketing strategies to adapt to changing regulations and ensure compliance.

Furthermore, Tyrads should utilize its own-operated inventory, Tyr Rewards, and first-party data to develop targeted advertising products and solutions for non-gaming industries. This approach enables Tyrads to deliver personalized and effective campaigns to its clients.

To enhance brand presence and attract new clients, Tyrads should invest in marketing outreach, events, and sponsorships. Proactive engagement with potential clients and establishing a strong brand presence will expand Tyrads’ reach in untapped markets.

Additionally, continuous investment in AI and technology advancements is paramount. By staying at the forefront of technological innovation, Tyrads can maintain a competitive edge and adapt to evolving industry trends.

Based on the analysis, the research proposes these strategies to Tyrads as recommendations. The insights and recommendations provided are intended to guide Tyrads in optimizing its digital strategies and provide valuable input to other stakeholders in the mobile growth agency industry.

This research contributes to the knowledge base of mobile growth agencies by proposing actionable insights for Tyrads and other stakeholders seeking to gain a competitive advantage as user acquisition solutions. By tailoring the strategies to Tyrads’ specific context, the recommendations aim to assist the company in refining its digital approach, adapting to market dynamics, and thriving in the ever-evolving landscape of user acquisition solutions.

This research also sets the groundwork for future research, opening avenues to explore digital strategies in the mobile marketing industry.

The Effect of Crude Papain as Coagulant on Chemical Characteristics and Energy Value of Susu Goreng Based On Goat’s Milk

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Experiment aimed was determined the influence of using crude papain as coagulant on the chemical properties and energy value  of susu goreng based on goat  milk.  The completely randomized design (CRD) with 4 treatments and 4 replications was applied in this experiment. The crude papain levels tested consist of P1= 0.5%, P2= 1.0%, P3= 1.5% and  P4= 2.0% of milk volume. The variables measured was moisture, protein, fat, total sugar, lactose, calcium and energy value. Susu goreng obtained has moisture ranged of 52.99 to 54.08%; protein 24.88 to 29.05%; fat 22.30 to 25.75%; lactose 0.69 to 1.38%; total sugar 2.72 to 4.4%; calcium 0.68 to 0.77% and energy value 1989.28 to 2507.09 kcal/100 g. Analysis of variance showed that treatment had close significant effect (P<0.01) on total sugar, calcium and lactose, significant (P<0.05) on energy value but had no significant (P>0.05) on moisture, protein and fat. It can be concluded that the use of crude papain as a coagulant with a level of 0.5 to 2% produces susu goreng with varying chemical characteristics. The use of crude papain level 0.5% is the best where the susu goreng produced has the characteristics of the higher protein content, calsium and energy value, the lowest lactose content and total sugar.

The Effect of Using Crude Papain as Coagulant on Chemical Characteristics and Energy Value of Susu Goreng Made from Cow’s Milk

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This study aimed to determine the effect of crude papain on the chemical characteristics and energy value of fried milk made from cow’s milk. A completely randomized design (CRD) was used in this experiment with 4 treatments and 4 replicates. The levels of crude papain tested were P1 = 0.5%, P2 = 1%, P3 = 1.5% and P4 = 2.0%, of milk volume. The variables studied included protein content, total sugar, lactose, calcium and energy value.  The collected data were processed according to the variance analysis procedure. The fried milk produced had protein content; 9.9 – 11.87%, fat 6.59 – 9.59%, lactose 4.84 – 8.72%; total sugar 28.25 – 36.75%; calcium 0.23 – 0.26% and energy value 2712.47 – 3388.25 calories/100g. The results of variance analysis showed that the treatment had a very significant effect (P<0.01) on fat content, total sugar, and a significant effect (P<0.05) on lactose content, but not significant (P>0.05) on protein, calcium, and energy value of fried milk. It was concluded that the use of crude papain produced fried milk with varying levels of fat, total sugar and lactose but protein, calcium and energy value tended to be the same. The best results were obtained with the use of crude papain 0.5%.

Government Expenditure and Poverty in East Java Province

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This study aimed to examine the effect of government spending on poverty in East Java Province. Government spending was examined in terms of spending on education, health, and social protection. The method used was a quantitative approach. Multiple regression analysis was used to test three hypotheses in the study. The population of this study is the Expenditure Realization Report by Function in the APBD of 38 districts/cities in East Java Province in 2017-2021. This study used a saturated sample so that the entire population was used as a sample, amounting to 190 data. The results showed that education expenditure affects poverty with a positive and significant direction of influence. Health expenditure affects poverty, although with a negative direction of influence. Social protection expenditure affects poverty, although with a negative direction of influence. This study is expected to contribute to the government in allocating government spending so that it is following priorities and is right on target for people who are more in need.

Carbon Nanotube-Polyaniline Reinforced Flexible and Stretchable Strain Sensor with Enhanced Sensitivity for Smart Wearable and Skin-Mounted Applications

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Flexible and stretchable strain sensors have emerged as promising components for integration into smart wearable devices and skin-mounted applications. These sensors enable accurate detection of physiological signals, thereby finding unique applications in diverse fields such as human health monitoring, soft robotics, human-machine interface, prosthetics, virtual reality, and professional sports. Two commonly utilized types of strain sensors are capacitive and resistive strain gauges, owing to their low production cost, simplified circuitry, and ease of construction. While resistive strain gauges exhibit high sensitivity, they are prone to nonlinearity and hysteresis. On the other hand, capacitive strain gauges demonstrate linear behavior with minimal hysteresis but offer lower sensitivity. In this study, we capitalize on the exceptional properties of carbon nanotubes, including high mechanical strength, electrical conductivity, and thermal stability, along with using polyaniline as an exemplary conductive polymer. These materials are employed as a reinforcing phase within the polymer matrix, while the dielectric layer is comprised of Ecoflex® 00-30. An interdigitated pattern is specifically designed for this strain gauge to enhance sensitivity. Through this research, we aim to develop a flexible and stretchable strain sensor with enhanced sensitivity and improved performance characteristics.

Extraction and Characterization of Bio-Silica from Sri Lankan Traditional Rice Husks and Evaluation to TLC Application

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Rice husk (RH) is one of the most abundant agricultural wastes, but can be identified as a useful bio resource. Gonabaru, Kahawanu, Patchaperumal, Dahanala and Suwandel are five immerging traditional rice varieties, competing with genetically improved rice in Sri Lankan rice market. Ash content of RHs of traditional rice varieties (>20.0%) was comparatively higher than genetically improved rice. It was identified that additional acid washing step was essential to improve the purity of bio silica. Mineral impurities such as Na, K, Ca, Fe and Mn were determined using atomic absorption spectrometer (AAS). High silica content was extracted from RHs of traditional rice varieties (>23.0%) than that of improved variety, BW 364 (~16.2%). The functional groups present in Rice husk ash (RHA) and rice husk silica (RHS) were determined using Fourier transform infrared (FTIR) analysis. The potential application of purified RHS was observed by preparing and analyzing the thin layer chromatography (TLC) in comparison with commercial TLC silica.

Proposed Human Capital Management Strategy to Improve Elementary School Teachers’ Competencies in Rahuning, North Sumatra, Indonesia (Case Study of SDIT Ar-Rahmah)

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The issue of low teacher competence in Indonesian schools outside of the big cities requires solutions from the outside and inside of the school. From within the organization, Human Capital Management (HCM) provides a beneficial framework for improving teachers’ competence and overall school quality. This study aims to understand the low competency issues and the HCM system in Ar-Rahmah Rahuning Integrated Islamic Elementary School (SDIT Ar-Rahmah) and formulates competency development programs using Lifelong Learning (LLL) approach. In this mixed method research, a survey conducted on teachers’ competency in SDIT Ar-Rahmah using the Teacher’s Competence model outlined by the Director General of Teachers and Education Personnel in 2023 to evaluate four teacher’s primary competence (pedagogic, personal, social, and professional competence), followed by a qualitative study on the HCM system, focusing on the competency development program. The study reveals that the average teachers in SDIT Ar-Rahmah indicate the need to improve pedagogic and social competence. Further, the HCM system in SDIT Ar-Rahmah lacks Professional Development and Performance Management for its teachers. The HCM system is highly reliant on the School Principal, which causes issues in developing Professional Development and Performance Management. A competency development program is formulated using Lifelong Learning approach to ensure continuous improvement throughout the teachers’ employment. The program focuses on six key elements: 1) formal and nonformal education, 2) introspection and self-assessment, 3) self-motivated learning, 4) application of knowledge and skills, 5) evaluation and improvement steps, and 6) provision of facilities and tools that foster Lifelong Learning habits.

The Effect of Illuminance Artificial Light Interior on Color Difference Identification in People with Colour Vision Deficiency (CVD)

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Individuals with color vision deficiency (CVD) face challenges in various daily activities that require color identification such as selecting appropriate clothing combinations, identifying ripe fruits or vegetables, et cetera. This study aims to identify the best illuminance artificial lighting for color difference identification among individuals with CVD in Indonesia (0,7%). The research focuses on the quantitative analysis of experimental data to assess the effect of different types of illuminance artificial lighting on color perception in participant with CVD. A controlled experiment was conducted with a sample of individuals diagnosed with CVD (Deutronomali, Deutronopia, and Protonopia), utilizing a standardized color difference identification test based on Natural Color system (NCS) as the color experiment tools. The participant was exposed to different artificial lighting conditions, including various intensities (illuminance) and different color background (black or white) for each category. Quantitative data is collected, focusing on the accuracy, speed, and total steps for completing the task under different artificial illuminance conditions. Statistical analysis, including analyses of variance (ANOVA) and correlation analyses, are conducted to examine the relationship between illuminance lightings and color difference identification in individual with CVD. The results based on the analysis of duration, number of steps, and accuracy, the optimal illuminance level for identification color differences falls within the range 400-500 lux. The second-best illuminance level falls within the range 300-400 lux. In conclusion, range 300-500 lux are the best illuminance level for perceiving color variation.

Islamic Moderate Values in Teaching Classic Islamic Books at Modern Islamic Boarding Schools in Indonesia

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This study discusses Islamic moderation in learning classic Islamic books at modern Islamic boarding schools in Indonesia. This study aimed to examine the application of Islamic moderation in learning classics and the supporting factors for the successful application of religious moderation in learning classics at the Islamic Boarding School of Modern al-IstiqamahNgatabaru Indonesia. This study used qualitative methods, and data collection techniques were carried out through direct observation, in-depth interviews, and written document analysis. The results of this study indicate that there are three indicators in the application of Islamic moderation in learning the ‘yellow book,’ namely the application of moderation in the learning process, the application of moderation in the form of understanding, and the application of moderation in the form of practice in worship. The supporting factors for Islamic moderation in learning the ‘yellow book’ are, Islamic boarding schools are not tied to one school of thought, ustad provides the broadest possible understanding to students, ustad does not indoctrinate students to follow one school of thought, ustad is not allowed to justify one school and blames on the other hand, students are free to choose the schools they believe in strongly. While the inhibiting factors are the limited practice of santri worship, senior santri are not allowed to influence junior santri, and learning the ‘yellow book’ is still limited. The implications of Islamic moderation in understanding the ‘yellow book’ at the Modern al-IstiqamahNgatabaru Islamic Boarding School are elastic and flexible, tolerant, not categorized, and not confused in making choices. Many alums are in different Islamic mass organizations, and alums join student organizations that are diverse, and active in religious activities in the community.