Abstract:This paper uses Time-Driven Activity-Based Costing (TDABC) in identifying cost per student, program profitability, and breakeven point across programs and branches at PT Kreasi Edulab Indonesia as it seek to solve the cost…
st allocation issues that arise due to the differences in instructional hours, staffing activity, and resource usage in providing educational services. The study will employ a quantitative methodology in which they will formulate TDABC-based cost modelling and simulating models to assign operational costs to the real instructional time and teaching capacity. Primary data were gathered by direct observation and internal cost structure mapping, whereas the secondary data were in the form of financial records, class schedules, and student enrollment reports. The analysis combines descriptive statistics, TDABC simulations, program profitability analysis, breakeven analysis, and sensitivity analysis to measure the cost per student, program level operating performance, minimum viable class sizes, and how the major financial drivers influence the operating profit. The findings indicate significant differences in cost per student and profitability of programs and size of a branch with some branches having lower levels of profitability below sustainable levels of breakeven despite the similar levels of revenues. The sensitivity analysis shows that average revenue per student is the most sensitive variable of operating profit, over and above the fluctuations in the enrolment volume and cost structure. Altogether, the results indicate that TDABC contributes to the increase of cost transparency and offers a solid foundation to the pricing, class consolidation, and operational decision-making.
Abstract:This study examines the development of creative industry-based Micro, Small, and Medium Enterprises (MSMEs) in Ulunoyo District, South Nias Regency, with a focus on four main sectors: culinary, crafts, fashion, and music.…
. The purpose of this study is to describe the condition of creative MSMEs in Ulunoyo, identify the obstacles faced, and analyze the development strategies implemented by business actors to increase competitiveness. The method used is descriptive qualitative with data collection techniques through interviews, field observations, and documentation of 21 MSME actors in five villages. Data analysis was carried out through reduction, presentation, and verification of findings. The results show that the development of creative MSMEs in Ulunoyo is supported by the potential of community creativity, strategic location, and the existence of traditional markets as distribution centers. Development strategies include improving product quality, business diversification, design innovation, and the use of digital technology for promotion and marketing. However, a number of major obstacles are still encountered, including limited business capital, rising raw material prices, low managerial skills, lack of product innovation, limited market access, and high levels of competition. To overcome these obstacles, business actors carry out creative promotions, expand their collaboration networks, and utilize social media to reach a wider consumer base.
Abstract:This research is motivated by the phenomenon of cafe business competition in Gunungsitoli City, which demands effective marketing strategies, particularly in the utilization of promotional mixes and business location selection.…
ection. The purpose of the study is to analyze how promotional mixes and location aspects play a role in increasing sales at Murai Coffee Gunungsitoli. The research method used is a qualitative approach with data collection techniques through interviews, observation, and documentation. The research informants consisted of the owner, employees, and customers of Murai Coffee. Data were analyzed using the Miles and Huberman model, which includes data reduction, data presentation, and conclusion drawing. The results show that Murai Coffee has implemented promotional strategies such as simple advertising, sales promotions, personal selling, public relations, and direct marketing that gradually increase customer interest. Meanwhile, the location factor, although not located in the city center, still provides sales opportunities through a comfortable atmosphere and quality service. However, challenges are still found in the comfort aspect, such as noise from outside and hot room temperatures, so that improvements to supporting facilities are needed. This research is useful for Murai Coffee in designing more optimal promotional strategies and location arrangements, for Nias University as a contribution to the development of marketing science, and as a reference for future researchers who want to study marketing strategies in the culinary sector.
Abstract:This study addresses the limitations of traditional Customer Relationship Management (CRM) systems by analyzing the adoption and impact of Artificial Intelligence (AI) integration (AI-Powered CRM). Informed by the Technology…
logy Acceptance Model (TAM) for employee perception and the Resource-Based View (RBV) for strategic capability, the primary objective is to evaluate how AI-driven automation enhances customer service processes and, subsequently, impacts marketing efficiency. The research employs an exploratory qualitative case study design, utilizing in-depth interviews, document analysis, and system observation on a single organization to gather rich, contextual data. The results demonstrate that AI integration significantly accelerated service, with chatbots handling 65–70% of routine queries and drastically reducing response times. Operationally, these improvements fostered high employee acceptance (TAM). Strategically, the AI-Powered CRM generated refined predictive analytics, resulting in a 12–18% improvement in campaign conversion rates and efficient resource allocation, confirming that AI creates a valuable and difficult-to-imitate strategic capability (RBV). The study concludes that AI-Powered CRM is a critical enabler for both operational efficiency and long-term strategic competitiveness in digital markets.
Abstract:In recent years, the housing market has faced significant challenges, including fluctuating prices and declining sales. To solve this issue, there was an increasing need for more sophisticated methods to predict housing…
prices accurately. This study aimed to provide real estate marketers with a tool to enhance their pricing tactics and mitigate the decline in home sales by predicting house prices using machine learning techniques. Several parameters were considered in this study, such as location, number of bedrooms, number of bathrooms, land area, building area, and number of carports. Linear regression and neural network methods were used to develop predictive models. The findings showed that the neural network method was more accurate than linear regression, which made it a better tool for real estate pricing strategies, with land area and number of carports being the most influential aspects in house price prediction.
Abstract:In an uncertain economic climate, a large global retailer used AI-powered spend intelligence to move $220 million from indirect operational costs toward high-impact R&D. In a difficult recession, this decisive step boosted…
ed revenue by 11%, demonstrating the transformative impact of effective capital management. This achievement contrasts with "spend blindness," where industry studies show most financial leaders struggle to link expenditure patterns to strategic growth outcomes and resort to reactive cost-cutting. This study addresses this crucial gap. A thorough mixed-methods approach including a global survey of 400 CFOs, longitudinal case studies of ten multinational organizations, and advanced predictive modeling substantiated a new paradigm. Research shows that companies that understand AI-driven spend orchestration develop 7.3% faster than competitors. This premium comes from a 37% improvement in the Growth Efficiency Ratio (GER), a critical statistic for translating savings into innovation, and 5.8 times more strategic investment opportunities than standard financial approaches allow. The Spend Intelligence Quotient (SIQ), a groundbreaking statistic that assesses financial agility through integrated spend monitoring, predictive analytics, and rapid capital reallocation, is key to this advantage. This paper introduces the empirically based Spend Orchestration Framework and the requirements for the 2025 AI Finance Stack to obtain SIQ >80, the empirically proven threshold for sustainable competitive advantage. The message is clear: finance chiefs must go beyond oversight. Today's CFO may use predictive contracting and algorithmic governance to turn spend data into strategic leverage, ensure resilience, and capture disproportionate value in.
Abstract:The study aims to explore the logistics distribution perspective in the fisheries sector of West Sulawesi. It focuses on supporting the region's readiness as a supporting area for the new National Capital (IKN) by examining…
ing government policies, infrastructure readiness, and supply chain management in the fisheries sector. The research employs a qualitative approach using a literature review combined with observation and interviews with key stakeholders in the fisheries sector. The study includes a feasibility analysis and utilizes a SOAR (Strengths, Opportunities, Aspirations, Results) analysis to develop strategic recommendations for logistics and infrastructure improvements. The findings reveal that West Sulawesi has significant potential to support IKN through its fisheries sector, given its strategic location and existing infrastructure. However, challenges such as limited cold storage facilities, infrastructure readiness, and supply chain coordination need addressing. The government’s draft Presidential Regulation (RPerpres) outlines a plan for port development and cold storage expansion to improve logistics. The study also suggests that collaboration with the private sector and technological adoption could enhance distribution efficiency and product quality. The research contributes to logistics and supply chain literature by addressing the specific challenges and opportunities in the fisheries sector of a developing region like West Sulawesi. It provides an original perspective on how regional policies and infrastructure development can support national capital projects and meet food supply demands while promoting sustainable practices in the fisheries industry
Abstract:This study aims to determine the effect of business location feasibility, social media advertising and product innovation partially and simultaneously on increasing sales of culinary MSMEs at Center Point of Indonesia (CPI)…
PI) Makassar City. This study employs quantitative research methodologies. The data collection techniques used were observation and interviews using questionnaires and documentation of activities. The population as well as the sample in this study were 50 culinary MSME business actors located at the Center Point of Indonesia (CPI). The employed data analysis techniques encompass multiple linear regression analysis, the F-test, the t-test, and the coefficient of determination. The results showed that business location feasibility, social media advertising and product innovation partially influenced the increase in sales of Culinary MSMEs at Center Point of Indonesia (CPI). Business location feasibility variables, social media advertising and product innovation simultaneously affect the increase in sales of Culinary MSMEs at Center Point of Indonesia (CPI)
Abstract:The village is the government that communicates directly with the community and is the center of government development. As such, the village government is an important part of the administration, and the village can have…
e the power to regulate and manage the interests of the community. To achieve community participation, the government has established a forum to implement development plans, namely Muslembang. If community participation is an element of the village development process, community participation has a significant impact on decision-making. The purpose of this study is to obtain an explanatory overview of community participation in the village RKP planning process in Paopao Village, Tanete Lilau District, and to clarify what are the factors that support and hinder community participation in the village RKP planning process. to clarify. Baloo's regent. The type of research used by researchers is qualitative. The location of this survey is in Paopao Village, Tanete Lilau District, Bal Regency.
The data collection process used by researchers includes data collection, data reduction, data presentation, and drawing conclusions. The results showed that: In 2019 and 2020, community participation in the village RKP planning process in Paopao Village, Tanete Lilau District, Baru Regency, only village officials participated in the RKP design team, community empowerment executives and community members. elements were not involved. And when it comes to female participation, only one woman reaches up to 30%. Therefore, we cannot speak of participatory advice on development planning. The driving force behind community participation in her RCP planning process for her village in Paopao Village, Tanete Lilau District, Balu District, is the community's awareness of progress in village development as a form of community awareness itself. Encouragement. Prioritize. The barrier to community participation is the individual community itself. Lack of curiosity, economic factors, and the level of education in the community are also among the barriers to participating in the development surprises of Baru Regency, Tanete Lilau District and Paopao Village.
Abstract:Village development planning that is not grounded in data can lead to poorly targeted programs, particularly for settlement-environment issues such as solid waste, sanitation, drainage, and neighborhood space quality. This…
is community service program aimed to improve residents’ literacy in data-based planning and strengthen meaningful participation in formulating settlement-environment program proposals. The activity was conducted in Kalijaga Village, Aikmel Subdistrict, East Lombok Regency, on 17 November 2025 as a special village deliberation meeting (Musyawarah Desa Khusus; Musdesus) involving 75 participants representing village stakeholders, including youth and community organizations (Karang Taruna and the Village Community Resilience Institution/Lembaga Ketahanan Masyarakat Desa; LKMD). A participatory education approach was applied through short lectures, focused discussions, and hands-on proposal drafting using simple minimum data and a standard structure (problem–location–target group–indicators–resource needs). Evaluation was descriptive using facilitator field notes and a proposal-completeness rubric. Of 49 written proposals collected (N=49), 40 (81.6%) met all minimum elements, while 9 (18.4%) were incomplete. The results indicate a shift from general complaints toward more structured proposals with clearer locations, target groups, and basic indicators. Data-based village planning education is a low-cost intervention to improve the quality of community participation outputs and enhance the readiness of proposals for subsequent village planning processes..