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The Effect of Raw Material Inventory Management On Work Productivity of PT. Kss (Karunia Sejahtera Sejati) Nias Branch

Halawa, Alfonsus, Gea, Jeliswan Berkat Iman Jaya, Mendrofa, Martha Surya Dinata, Zebua, Serniati
Abstract: This study aims to determine the Effect of Raw Material Inventory Management on Work Productivity of PT. KSS (Karunia Sejahtera Sejati) Nias Branch. The research method used is a quantitative approach. The sample in this&#8230; study amounted to 31 respondents. Data collection techniques were carried out through the distribution of questionnaires and documentation. Data analysis techniques used simple linear regression analysis, classical assumption tests, coefficient of determination tests and t-tests with the help of the SPSS version 25 statistical application. The R2 Determination Test that has been carried out obtained the result that the R2 value is 0.620. This shows that the Raw Material Inventory Management variable (X) can explain Work Productivity (Y) by 62%, while the remaining 38% is explained by other factors not covered in this study. Based on the data analysis, it shows that simultaneously the Raw Material Inventory Management variable has a positive and significant effect on Work Productivity with a significance of 0.000 <0.05 and the T-value obtained is 6.877> 1.696 so that it can be concluded that Ha is accepted and has an effect on the dependent variable of Work Productivity (Y). The conclusion of this study is that the Raw Material Inventory Management variable partially or simultaneously has an effect on Work Productivity and it is recommended that PT. KSS (Karunia Sejahtera Sejati) provide increased competency and understanding of employees regarding inventory management that is very necessary so that they are able to carry out their tasks more efficiently and effectively, so that work productivity increases. Periodic training and socialization regarding inventory management and its relationship to work productivity must continue to be carried out.

Analysis of Human Resource Policy in Improving The Quality of Employee Performance in The Department of Population Control, Women's Empowerment and Child Protection of Gunungsitoli City

Harefa, Trima Putri, Halawa, Odaligoziduhu, Mendrofa, Syah Abadi, Hulu, Fatolosa
Abstract: This study aims to analyze human resource policies to improve the quality of employee performance at the Population Control, Women's Empowerment, and Child Protection Service of Gunungsitoli City. The research focuses on&#8230; three main objectives: (1) to determine the form of human resource policies implemented to improve performance quality, (2) to identify supporting and inhibiting factors in the implementation of these policies, and (3) to formulate appropriate strategies to improve employee performance. The research method used is a qualitative approach with data collection techniques through in-depth interviews, observation, and documentation. The results show that the implemented human resource policies include training and competency development, performance assessment based on work indicators, and a reward system and work discipline. Supporting factors for the implementation of these policies include leadership support, active employee participation, and the availability of a training budget. However, there are also inhibiting factors such as a lack of professional human resources, limited supporting facilities and infrastructure, and low work motivation among some employees. The strategies implemented to improve performance quality include strengthening supervision, developing a collaborative work culture, improving the quality of training, and regular evaluation of policy implementation. This study concludes that appropriate and consistent human resource policies play a crucial role in building more optimal employee performance within the service environment.

Analysis of Promotion Mix and Place in Increasing Sales at Murai Coffee Gunungsitoli

Farasi, Wildan Syariah, Zebua, Serniati, Mendrofa, Martha Surya Dinata, Zalukhu, Yuterlin
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.&#8230; 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.

Production Optimization Through the Material Requirement Planning (MRP) Method in The Nias Tofu Product Business in Onomamolo Village I Lot

Mendrofa, Solfin Desmeni, Zebua, Serniati, Mendrofa, Martha Surya Dinata, Gea, Jeliswan Berkat Iman Jaya
Abstract: The main objective of this study is to compare and analyze the effectiveness of the MRP (Material Requirement Planning) method in optimizing raw material inventory management in the Nias Tofu business. This study uses a&#8230; mixed method. Primary data in this study were obtained directly from the Nias Tofu business through observations and interviews, while secondary data were obtained from the company in the form of production data from the Nias Tofu Product business in 2024. Data analysis was conducted using descriptive analysis techniques and the steps taken in the method analysis.MRP. According to the analysis results, the 2024 soybean raw material purchasing and demand data using the conventional method showed a shortage of raw materials of 14,200 kg with an order frequency of 14 times. Inventory management experienced inefficiencies, namely storage costs of IDR 1,600,000 and ordering costs of IDR 400,000, and raw material shortages still occurred, while the application of the MRP method resulted in order planning with an order frequency of 6 times, a fixed order quantity of 16,784 kg, and a much lower total inventory cost of IDR 335,160. The implementation of the MRP method has proven successful in eliminating raw material shortages and reducing operational costs so that the production process runs more smoothly and efficiently. This study proves that the application of MRP is effective in managing raw materials and optimizing production in the Nias Tofu business, making a significant contribution to smooth production and inventory cost efficiency.

Analysis of Production Optimization in Increasing Profits at UD. Tahu Nias

Laoli, Rukun Fataya, Gea, Jeliswan Berkat Iman Jaya, Zebua, Serniati, Gulo, Heniwati
Abstract: Production optimization is a key to increasing efficiency and profitability, especially in businesses such as UD. Tahu Nias in Hiligodu Ombolata Village, Gunungsitoli City, which operates in the tofu production sector. This&#8230; his research is motivated by the production challenges faced by the company, such as limited equipment, late raw material supplies, and an unskilled workforce, which impact the inefficiency of the production process and decrease the level of profitability. The method used in this study is a qualitative descriptive approach with data collection techniques through interviews, observation, and documentation. Informants consisted of the owner, production employees, and other support staff. The results of the study indicate that the production process at UD. Tahu Nias still has manual stages with limited use of machines, especially only at the soybean milling stage. The main obstacles in optimizing production include late raw material supplies, the lack of technology and training for employees. However, the company has made several efforts such as strategic raw material management and efficient division of labor among employees. The conclusion of this study is that production optimization at UD. Nias tofu can be improved through the use of advanced equipment in more modern production facilities, employee skills development through training, and improved production and distribution planning. By implementing these strategies, the company has the potential to sustainably increase operational efficiency and profitability.

Customer Service Automation Through Ai-Powered CRM: Impact On Marketing Target Accuracy

Windarsari, Wiwin Riski
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&#8230; 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.

Analysis of Digital Marketing Strategy in Increasing Sales at Murai Coffee Gunungsitoli

Mendrofa, Soterman Fotendo Kristian, Bate’e, Maria Magdalena, Harefa, Idarni, Gulo, Heniwati
Abstract: This research is motivated by the phenomenon of suboptimal digital marketing strategies implemented by Murai Coffee Gunungsitoli, which have resulted in decreased visibility and sales. The research objective is to analyze&#8230; e the implemented strategies, identify challenges, and formulate optimal strategies to increase sales. The approach used is qualitative with interview, observation, and documentation techniques, as well as descriptive data analysis. The results show that previous digital marketing strategies have contributed to increased visibility, but have not been managed consistently and creatively. Challenges faced include limited resources, content planning, and audience interaction. Research recommendations include content consistency and innovation, optimization of social media features, and regular evaluation of digital campaigns to encourage buying interest and sustainable sales

Data Driven Marketing in Real Estate: Forecasting House Prices and Uncovering Influential Factors

Prabadianti, Intania, Samidi
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&#8230; 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.

The Relationship Between Learning Styles and Learning Motivation Towards Academic Achievement of Students of The Faculty Of Economics and Business, State University of Makassar

Rahman, Abdul
Abstract: This study aims to determine the effect of learning styles on academic achievement, the effect of learning motivation on academic achievement, and the effect of learning styles and learning motivation on academic achievement.&#8230; ment. Sampling was carried out using a simple purposive sampling technique so that 44 students were obtained. Data collection used an online questionnaire. Data analysis used multiple linear regression analysis. The results of the study showed that the partial test (t-test) concluded that learning styles had a significant effect on academic achievement and learning motivation had a significant effect on academic achievement. Based on the F test, it was concluded that learning styles and learning motivation jointly influenced the learning achievement of FEB students at Makassar State University. Therefore, teachers are advised to analyze student learning styles in determining teaching methods and always motivate students to increase the intensity of their learning efforts.

The Role of Trust In Mediating Personal Selling and Customer Experience Towards The Decision To Save at BPR Syariah

Hindun, Kiftiah, Anwar, Muhadjir, Purwanto, Sugeng
Abstract: This research is motivated by the importance of building customer trust inencourage customer interest and decisions to save regularly at BPR Syariah, especially through strengthening personal selling marketing communication&#8230; ion strategies and positive service experiences. The main theory underlying this research is the Theory of Planned Behavior (TPB). This research aims to analyze (1) the influence of personal selling on saving decisions, (2) the influence of customer experience on saving decisions, (3) to determine whether trust mediates the relationship between personal selling and saving decisions, (4) to determine whether trust mediates the relationship between customer experience and saving decisions at BPRS Baiturridha Pusaka-Bandung. This study uses a quantitative approach through the Structural Equation Modeling–Partial Least Squares (SEM–PLS) method. The sample consisted of 120 active customer respondents of BPRS Baiturridha Pusaka-Bandung selected using a probability sampling technique through a simple random sampling approach, where each member of the population has an equal chance of being selected as a respondent. Data collection was carried out through the distribution of structured questionnaires and analyzed using Smart PLS software version 3.0. The results of the study show that (1) Personal Selling does not influence the decision to save (2) Customer Experience has a positive and significant influence on the Decision to Save (3) Trust is not proven to significantly mediate the relationship between personal selling and the decision to save (4) Trust is proven to significantly mediate the relationship between customer experience and the decision to save. These findings confirm that in the context of BPR Syariah, positive customer experience is the main factor in forming trust and driving savings behavior