Journal of Business and Management Inaba (JBMI) E-ISSN 2829-5331. P-ISSN 2829-6559 VOLUME 02. NO. 01 JUNE 2023 THE INFLUENCE OF KNOWLEDGE MANAGEMENT AND NON-PHYSICAL WORK-ENVIRONMENT ON BUSINESS PERFORMANCE OF TOFU PRODUCING MSMEs IN SUMEDANG Muhamad Sandy Aditya1. Aggi Panigoro Sarifiyono2. Sabilla Saberina3 Universitas Informatika dan Bisnis Indonesia 1,2,3 muhamadsandyaditya@gmail. com1, aggipanigoro@unibi. id2, sabillasaberina@unibi. ABSTRACT The development of times and technology has driven the business ecosystem to become more The ease of carrying out operations and business activities is a great opportunity for companies and entrepreneurs. A sustainable strategy is needed to ensure the long-term sustainability of business activities. The findings from this study are expected to determine whether there is influence of knowledge management, non-physical work environment, and organizational culture on business performance in the MSME industrial sector. From the results of this study, as for what the authors can conclude from several discussions, partially there is a significant influence and a very low relationship between Knowledge Management (X. on Business Performance (Y), which is equal to 0. 0650 or 6. 5%, between Work Environment (X. and Business Performance (Y), which is 0. 0936 or 9. 36%, between Organizational Culture (X. and Business Performance (Y), which is 0. 1705 or 17. Simultaneously there is a significant influence and a strong relationship between Knowledge Management (X. Non-Physical Work Environment (X. and Organizational Culture (X. on Business Performance (Y) with a contribution of 0. 701 or 70. 1%, and the rest has an influence other factors that can affect business performance is equal to 29. Keywords: knowledge management, non-physical work environment, organizational culture, business performance Sumedang tofu business. This business is INTRODUCTION The indeed quite old because it has been around for a long time. However, until now there is environment in Indonesia, especially the still a demand for Sumedang tofu products growing MSMEAos, is starting to need to which has made many MSMEAos selling Sumedang tofu still in operation. management, ideal working conditions and The findings from this study are expected understanding of organizational culture in to determine whether there is influence of non-physical As an example, one of the work environment, and organizational MSME industrial sectors that is currently culture on business performance in the still in great demand and growing is the MSME industrial sector. These results will Journal of Business and Management Inaba (JBMI) E-ISSN 2829-5331. P-ISSN 2829-6559 VOLUME 02. NO. 01 JUNE 2023 Verificative Method recommendations for choosing a business Sugiyono stated: "The verificative strategy for MSME owners in the hope of realizing the prosperity of this industry in conducted on certain populations or the future. samples with the aim of testing established hypotheses" . 4: . METHOD Population and Sample Sugiyono stated: "Research Method Sugiyono stated: "Population is a is a scientific way to obtain data with generalization area consisting of objects or specific purposes and uses" . subjects who have certain characteristics Sugiyono stated: "The quantitative research set by researchers to study and then draw method can be interpreted as a research conclusions" . The population in method based on the philosophy of this study are some of the MSME tofu producers in Sumedang. It was recorded populations or samples, collecting data 74 Sumedang tofu using research instruments, data analysis is producers throughout the Cadas Pangeran, quantitative/statistical in nature, with the Pasanggrahan till Prabu Geusan Ulun area, aim of testing established hypotheses" Sumedang city. 5: . Sugiyono stated that: "The sample is part of . Descriptive Method the number and characteristics possessed In this study, researchers used a by the population" . 7: . If the descriptive method to describe a population is large, and does not allow the phenomenon being investigated. The researcher to study everything in the population, there may be some constraints Sugiyono . 5: . , namely: "A and limitations of the authors such as time, formulation of the problem relating to manpower and also funds, for this reason the question of the existence of the researcher only uses research samples independent variables, either only on that the authors can take from the one variable or more independent population in company. Therefore the So in this study did not make sample to be taken for research from the comparisons of these variables in other population must be truly representative . epresenting the entire populatio. If the Journal of Business and Management Inaba (JBMI) E-ISSN 2829-5331. P-ISSN 2829-6559 VOLUME 02. NO. 01 JUNE 2023 sample under study is not representative. Primary data collection techniques include: then there will be the possibility of making Direct observations were made to test wrong conclusions regarding both the the objectivity of the data obtained subject and the object being studied. from MSMEAos selling tofu sumedang. Determining the sample size in this study Questionnaires or questionnaires are uses the Slovin formula in (Sugiyono 2014, data collection techniques that are . , namely : carried out by providing questions or Formula 1. Slovin formula written statements to be answered. Information : Secondary data collection techniques ycu : Number of Samples include literature review in which the : Total Population collection process is obtained AND : Fault Tolerance Limit reference books and previous research Sample calculation : Literature ycu = ____74____ research is a data collection technique used 1 74 . ycu = ____74____ review or library 1 0. materials related to the issues discussed in ycu = ____74____ order to complement the data obtained. Validity test is used to measure the validity ycu = 62. or invalidity of a questionnaire. Research Thus, based on the formula above, questionnaire data can be said to be valid if it can be concluded that the required it has statements or questionnaire questions sample is 62,4472 or which can be that are able to reveal something that will rounded up to 63 respondents. then be measured by the questionnaire. Data Collection Techniques Tests to determine significant or not A data collection technique is a method significant by comparing the value of used by a researcher to obtain the necessary rcount with the value of rtable, using the In a study, if you do the right Software Statistical Package Social Science data collection method, it will be possible (SPSS). to get valid and accurate data. Data Reliability test is the process of measuring collection techniques used by the authors in the accuracy . of a variable. this study are as follows : This test is intended to ensure that the Journal of Business and Management Inaba (JBMI) E-ISSN 2829-5331. P-ISSN 2829-6559 VOLUME 02. NO. 01 JUNE 2023 variable used is a variable that is reliable. The significant column is used for consistent, and stable so that when it is used probability testing with the following many times it can produce the same data. The criteria for determining reliability are If the probability value <0. 05 then Ho as follows : is rejected and Ha is accepted. When the value of Cronbach's Alpha If the probability value > 0. 05 then > 0. 70, it can be concluded that the Ho is accepted and Ha is rejected. data is reliable. F Test (Significan. If the value of Cronbach's Aplha < The F test is used to determine how much 70 then it can be concluded that the influence the independent variables work data is not reliable. Multiple functions to be able to find out how much dependent variable, namely the employee's influence there is in several independent work ethic together. variables on dependent variables and can Coefficient of Determination (R) predict the values contained in dependent If it turns out that the above hypothesis variables if all independent variables have testing area is rejected, then the coefficient known values. Therefore, researchers use of determination is calculated to determine multiple linear in order to analyze the the contribution of variable X to variable Y. relationship and also the influence of one dependent variable with two or more RESULT AND DISCUSSION independent variables. Validity Testing Hypothesis Testing X1 Knowledge Management T Test (Partia. Tabel 1 X1 Validity Test To test the truth of the existing hypothesis. R Count / Statement the test is carried out by comparing the Pearson Correlation calculated t value with the t table value with 0,545 the following criteria : 0,574 If the value of t count t table, then Ho is rejected and Ha is accepted. Table 0,2500 Results VALID Journal of Business and Management Inaba (JBMI) E-ISSN 2829-5331. P-ISSN 2829-6559 VOLUME 02. NO. 01 JUNE 2023 0,580 Tabel 4 Y Validity Test 0,726 R Count / 0,668 Statement Pearson Correlation X2 Non-Physical Work Environment Tabel 2 X2 Validity Test R Count / Statement Pearson Correlation Table Results 0,572 0,610 0,434 0,633 0,475 0,515 0,638 0,454 0,601 0,683 Results Table 0,2500 VALID 0,416 0,549 0,668 0,463 0,664 0,663 0,626 Based on the validity test table above, it can 0,535 be seen that all statements submitted to 0,658 0,677 0,2500 VALID comparing the value of rcount > rtable. X3 Organizational Culture Tabel 3 X3 Validity Test R Count / Statement Pearson Correlation Table Reliability Test Tabel 5 Reliability Test Results Variable 0,533 0,532 Knowledge 0,523 Management 0,495 Non-Physical Work 0,685 Environment 0,590 0,675 Culture 0,522 Business Performance 0,599 0,659 0,2500 VALID Organizational CronbachAos N of Alpha Item Based on the reliability test table above, it can be seen that the Cronbach's Y Business Performance Journal of Business and Management Inaba (JBMI) E-ISSN 2829-5331. P-ISSN 2829-6559 VOLUME 02. NO. 01 JUNE 2023 Alpha value is > 0. 70, so it can be non-physical concluded that the data is reliable. environment is 0. Stating that every time there is an increase of 1 Multiple Linear Regression Analysis score for the non-physical work Figure 1. Multiple Linear Regression environment, there will be an increase in business performance of Organizational culture coefficient Analysis (X. , the value of 0. Stating Based on the results of data processing that every time there is an increase from SPSS 21. 0 on, then the results of the of 1 score for organizational culture, regression equation are obtained as follows: it will be followed by an increase in Y = 2. 255 X1 0. 306 X2 0. business performance of 0. From the regression equation model shows Hypothesis Test the meaning that : T Test (Partia. Constant = 2. 161 If the variables of physical work environment and organizational culture are assumed Figure 2. T Test (Partia. to be constant, then business Based on the provisions in the T test, performance will increase by 2. Knowledge the stages in the t test consist of : Management Determining the t table value uses Coefficient (X. , the value of the an error rate . of 5% and knowledge management coefficient degrees of freedom Degree Of Stating that every time Freedom or . n-k so that the there is an increase of 1 score for calculation df = 63 - 3 = 60 with a knowledge management, there will t table value of 2,000 is obtained. Based on the results in table 7, the performance of 0. Knowledge Management variable Coefficient of Non-Physical Work (X. has a t count value of 2. Environment (X. , the coefficient t table 2. 000 and a probability Journal of Business and Management Inaba (JBMI) E-ISSN 2829-5331. P-ISSN 2829-6559 VOLUME 02. NO. 01 JUNE 2023 value of 0. 004 <0. 05 so it can be Based on the F test table above, there is concluded that Ho is rejected and an f count of 49,459 with a significant level Ha is accepted which means that 000 where the calculated f value will there is an influence of Knowledge be compared to the f table value. Management (X. on Business Determination of f table can be done by Performance (Y). calculating f table = . with a Based on the results in table 7, the probability of 5% where k is the number of Non-Physical Work Environment independent variables and n is the number variable (X. has a t count value of of samples so that . = . is 775 > t table 2. 000 and a obtained and the value obtained f table of probability value of 0. 000 <0. 05 so it can be concluded that Ho is Based on the discussion above, it can rejected and Ha is accepted which be identified that the calculated f value is means there is an influence of the 459 > f table 2. 76 and the probability is Non-Physical Work Environment 000 <0. 05 so it can be concluded that Ho (X. to Business Performance (Y). is rejected and Ha is accepted, which means Based on the results in table 7, the that there is a significant influence Organizational Culture variable (X. has a t count value of 4. t table 2. 000 and a probability value of 0. 000 <0. 05 so it can be business performance. concluded that Ho is rejected and Ha is accepted which means there Coefficient of Determination (R) is an influence of Organizational Culture (X. Business Performance (Y). F Test (Significan. Figure 4. Coefficient of Determination (R) Based Coefficient Determination table above, it can be identified that the value of R Square is the value of the Coefficient of Determination Figure 3. F Test (Significan. (KD) / R2 which is equal to 0. So it can Journal of Business and Management Inaba (JBMI) E-ISSN 2829-5331. P-ISSN 2829-6559 VOLUME 02. NO. 01 JUNE 2023 be concluded that the contribution of Knowledge Management (X. Simultaneously there is a significant Non- influence and a strong relationship Physical Work Environment (X. and between Knowledge Management Organizational Culture (X. to Work (X. Ethics (Y) simultaneously is 0. 701 or Environment Organizational Culture (X. on Conclusion From the results of this study, there are Business (X. Performance (Y) with a contribution of 0. 701 or some of these discussions, and the 1%, and the rest are influenced conclusions are as follows : by other factors that can affect Partially, there is a significant Work MSMEAos selling tofu sumedang things that the writer can conclude from Non-Physical relationship between Knowledge Management (X. and Business Performance (Y) REFERENCES Book : MSMEAos Al-SaAodi. Abdallah. , & Dahiyat, . The Mediating Role of Product and Process Innovations on Relationship Knowledge Management Operational Performance Manufacturing Companies Jordan. Business Process Management Journal, 23. , 349376. Ar. , & Baki. Antecedents and performance impacts of product empirical evidence from SMEs located In Turkish science and technology parks. European Journal of Innovation Management, 14, 172Ae 206. Byukusenge. , & Munene. Knowledge Does Cogent Business & Management, 4. Chris Rowley dan Keith Jackson. Manajemen Sumber Daya selling tofu sumedang, which is equal to 0. 0650 or 6. Partially, there is a significant relationship between the Work Environment (X. and Business Performance (Y) MSMEAos selling tofu sumedang, which is equal to 0. 0936 or 9. Partially, there is a significant Organizational Culture (X. and Business Performance (Y) MSMEAos selling tofu sumedang, which is equal to 0. 1705 or 17. Journal of Business and Management Inaba (JBMI) E-ISSN 2829-5331. P-ISSN 2829-6559 VOLUME 02. NO. 01 JUNE 2023 Manusia. PT. Raja Grafindo. Jakarta. of innovation outcomes: The role of cultural barriers. Electronic Journal of Knowledge Management, 11, 62Ae71. Obeidat. Al-Suradi. MasaAodeh, and Tarhini. , "The impact of knowledge management on innovation: An empirical study on Jordanian consultancy firms". Management Research Review. Vol. 39 No. Saleh. & Purnomo. , 2013. Metodologi Penelitian: Sebuah Petunjuk Praktis Yogyakarta: Jaya Abadi Press. Santoso. Singgih. Statistik Parametik. 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