JMD : Jurnal Riset Manajemen & Bisnis Dewantara

MEASUREMENT OF ABSORPTIVE CAPACITY IMPLICATIONS IN SMALL AND MEDIUM INDUSTRIES

2025-12-05T14:36:19+07:00

The post-covid-19 era is a momentum for all types of business models to immediately reach their highest performance after dropping drastically due to the economic recession. The manufacturing industry is one type of business model that is under enormous pressure during Covid-19 and is required to immediately return to normal. Small and medium industries as a class of manufacturing industry are unique in their ability to recover quickly, apart from the fact that their industrial model is quite small, many of these small and medium industries also form industrial clusters. In the current era of knowledge-based economy, one theory provides an illustration that if a business organization wants to quickly achieve business performance, it needs to master the necessary knowledge. This concept is called absorptive capacity which explains how a business organization acquires knowledge and implements it to gain competitive advantage. This research tries to present a factor analysis on the theoretical concept of absorptive capacity (with the dimensions of acquisition, assimilation, transformation, and exploitation) in a small and medium industrial cluster. There were 127 respondents from the small and medium Logam industrial cluster in Ngingas Village, Waru Distric, Sidoarjo - Indonesia. This research reveals that in the small and medium Logam industrial cluster in Ngingas Waru Sidoarjo - Indonesia, the acquisition factor is the dominant factor in the process of mastering knowledge that comes from outside the organization and the assimilation factor is the least dominant factor in the process of mastering knowledge.

EVALUASI AKURASI PERAMALAN PENJUALAN DENGAN METODE SEMI AVERAGE DAN LEAST SQUARE PT INDOFOOD SUKSES MAKMUR Tbk

2025-12-05T21:34:17+07:00

This study aims to analyze sales forecasting at PT Indofood Sukses Makmur Tbk. using the Semi Average and Least Square methods in order to identify historical sales patterns and measure prediction accuracy for the upcoming period. The research employs a descriptive quantitative approach with the population consisting of PT Indofood Sukses Makmur Tbk.’s financial statements for the period 2020–2024, while the sample is the net sales data taken from the company’s annual income statements. The analysis was carried out using the Semi Average and Least Square methods, with accuracy evaluated through Mean Squared Error (MSE) and Mean Absolute Percentage Error (MAPE). The results indicate that the Semi Average method produced an MSE value of 48,080,998,381.43 and a MAPE of 213.26%, while the Least Square method yielded an MSE of 6,971,891,696.24 and a MAPE of 66.67%. These findings suggest that the Least Square method provides a more representative forecasting model compared to the Semi Average method, although the overall forecasting accuracy remains relatively low. This research highlights the necessity of applying more advanced and adaptive forecasting models in the future to support more effective managerial decision-making.

Pengaruh Online Review Gofood Terhadap Permintaan Produk Makanan Di Kabupaten Mojokerto

2025-12-17T15:38:10+07:00

The purpose of this study is to analyze the influence of online reviews on the demand for food products through the GoFood service in Mojokerto Regency. The online reviews examined include star ratings and consumer comment reviews. The research employed a quantitative approach with a survey of 384 GoFood users in Sooko District. A probability random sampling technique was used in the sampling process, and the data were collected through a questionnaire based on indicators of online reviews and product demand. Simple linear regression was applied in the data analysis process. The results indicate that online reviews have a positive and significant effect on the demand for food products. These findings reinforce that online star ratings and comment reviews greatly influence consumer purchasing decisions in the digital era.

THE INFLUENCE OF SELF-CONTROL, OVERCONFIDENCE & FINANCIAL LITERACY ON INVESTMENT DECISIONS OF HIGH RISK ASSETS AMONG THE MILLENNIAL GENERATION AND GENERATION Z

2025-12-17T15:38:08+07:00

This research is aimed to perform an investigation regarding the capability of financial literacy, including overconfidence bias and self-control proceed a significant influence on shaping Gen Z and Millennials’ decision to invest. Furthermore, the research also examines how risk tolerance mediating role in the relationship between independent-dependent variables. By employing quantitative approach, utilizing PLS-SEM modelling, the research gained data which is derived from 168 active investors in the capital market of Indonesia. The findings shown the significant influence of financial literacy, self-control, and overconfidence in shaping risk tolerance, which also turns out as a bridge towards the decision of individuals to invest. In this context, financial literacy highly encourages higher overconfidence distorts the perception of risk, well-examined risk taking, and self-control which able to foster such impulsive actions, which further shape the decisions of investment choices. The findings also offers such major insights regarding young investors’ behaviour in the capital market and underlines the requirement to utilize an effective and well-targeted financial education and training of behavioural finance. Those results might be applicable for further literatures looking forward in the development of these theoretical models for further financial professionals, purposed in showing more support to client in investigating the emerging landscape of investment.

ANALISIS PERBEDAAN HARGA SAHAM DAN ABNORMAL RETURN SEBELUM DAN SESUDAH STOCK SPLIT PADA PERUSAHAAN YANG TERDAFTAR DI BURSA EFEK INDONESIA PERIODE 2022-2024

2025-12-18T18:25:26+07:00

This study aims to determine the difference in stock prices and abnormal returns before and after stock splits in companies listed on the Indonesia Stock Exchange for the period 2022-2024. The data utilized in this study is secondary data. The population in this study were 37 companies. The method of analysis used the Wilcoxon Signed Rank Test. The results of this study show that there is no fluctuation between stock prices before and after stock splits in both the 5-day and 3-day observation periods. But there is a change in the value of the abnormal return before and after the stock split both in the 5-day and 3-day observation periods in companies listed on the IDX for the 2022-2024 period.