Simple Linear Regression Equation Research Articles

Analysis Of Rice Distribution On Price Stability In Perum Bulog, West Aceh Regency

Distribution is one of the most important marketing activities carried out in marketing, namely developing and expanding the flow of goods or services from producers to consumers in accordance with a predetermined amount and time. The choice of distribution method is a very important point, because an error in choosing a distribution method can slow down the delivery of goods and services to consumers or users. Distribution of rice is one aspect of the marketing mix that also determines the success or failure of the objectives to be achieved by Perum Bulog, West Aceh Regency in distributing rice to meet community needs. The problem discussed in this study is how the influence of rice distribution on price stability at Bulog Public Corporation in West Aceh Regency. While the aim of this research to be achieved is to determine the effect of rice distribution on price stability at Perum Bulog, West Aceh Regency. The analytical method used in this study is simple linear regression analysis, simple linear regression equation implies that in a regression equation there is one dependent variable and one independent variable. The simple linear regression method aims to prove the hypothesis on the effect of joint distribution variables on price stability at Perum Bulog, West Aceh Regency, both individually and collectively. Based on the results of the study, it shows that the effect of the distribution of rice (X) on the stability of rice prices (Y) is very significant. This is evidenced by the value of Rice Price Stability (Y) at the West Aceh District Bureau of Logistics Agency, a coefficient of determination of 0.875 (R) where this shows 87.50% is in the category of very high influence and the remaining 12.50% is influenced by other variables which is not researched.

HUBUNGAN PELATIHAN DENGAN KINERJA KARYAWAN

The purpose of this study was to examine the significance of the relationship and establish and test the linearity and significance of the simple linear regression equation between training and employee performance. The research was conducted at the Directorate of Transportation, National Development Planning Agency, Jakarta. The research population is all employees of the Directorate of Transportation, National Development Planning Agency, Jakarta. From this population, a sample of 42 employees was taken using a simple random sampling technique. This study uses a causal survey method. The research data was collected through a research instrument in the form of a questionnaire with a Likert scale, then processed and analyzed using simple linear correlation and regression analysis techniques using the SPSS program. The results of this study indicate that: (1) There is a significant positive relationship between training and employee performance, with a correlation coefficient of 0.695; and (2) the simple linear regression equation Y = 14.552 + 0.412X is a significant linear regression equation to express a linear relationship between training (X) and employee performance (Y) at the Directorate of Transportation, National Development Planning Agency, Jakarta.

The Influence of the Principal's Leadership Style on Teacher Performance at Madrasah Aliyah Suka Negeri, South Bengkulu Regency

The purpose of this study was to determine the effect of the principal's leadership style on teacher performance at Madrasah Aliyah Suka Negeri, South Bengkulu Regency. The sample in this study were 30 teachers who teach at Madrasah Aliyah Suka Negeri, South Bengkulu Regency. Collecting data using a questionnaire and the analytical method used is simple linear regression analysis,determination test and hypothesis testing.Based on the results of the study, it shows a simple linear regression equation,namely Y = 16.211 + 0.624X with a positive regression direction meaning that if the principal's leadership style increases, the performance of teachers at Madrasah Aliyah Suka Negeri, South Bengkulu Regency will also increase. The principal's leadership style has a significant effect on teacher performance at Madrasah Aliyah Suka Negeri, South Bengkulu Regency, because the significant value of 0.001 is smaller than 0.05. This means that the higher the leadership style of the Principal at Madrasah Aliyah Suka Negeri, South Bengkulu Regency, the teacher's performance will also increase. The coefficient of determination of R square is 0.352. This means that the principal's leadership style has an influence on teacher performance by 35.2% while the rest (100-35.2% = 64.8%) is influenced by other causal factors not examined in this study.

A comprehensive normative reference database of musclemorphology in typically developing children aged 3-18 years-a cross-sectional ultrasound study.

During childhood, muscle growth is stimulated by a gradual increase in bone length and body mass, as well as by other factors, such as physical activity, nutrition, metabolic, hormonal, and genetic factors. Muscle characteristics, such as muscle volume, anatomical cross-sectional area, and muscle belly length, need to continuously adapt to meet the daily functional demands. Pediatric neurological and neuromuscular disorders, like cerebral palsy and Duchenne muscular dystrophy, are characterized by impaired muscle growth, which requires treatment and close follow-up. Nowadays ultrasonography is a commonly used technique to evaluate muscle morphology in both pediatric pathologies and typically developing children, as it is a quick, easy applicable, and painless method. However, large normative datasets including different muscles and a large age range are lacking, making it challenging to monitor muscle over time and estimate the level of pathology. Moreover, in order to compare individuals with different body sizes as a result of age differences or pathology, muscle morphology is often normalized to body size. Yet, the usefulness and practicality of different normalization techniques are still unknown, and clear recommendations for normalization are lacking. In this cross-sectional cohort study, muscle morphology of four lower limb muscles (medial gastrocnemius, tibialis anterior, the distal compartment of the semitendinosus, rectus femoris) was assessed by 3D-freehand ultrasound in 118 typically developing children (mean age 10.35 ± 4.49 years) between 3 and 18 years of age. The development of muscle morphology was studied over the full age range, as well as separately for the pre-pubertal (3-10 years) and pubertal (11-18 years) cohorts. The assumptions of a simple linear regression were checked. If these assumptions were fulfilled, the cross-sectional growth curves were described by a simple linear regression equation. Additional ANCOVA analyses were performed to evaluate muscle- or gender-specific differences in muscle development. Furthermore, different scaling methods, to normalize muscle morphology parameters, were explored. The most appropriate scaling method was selected based on the smallest slope of the morphology parameter with respect to age, with a non-significant correlation coefficient. Additionally, correlation coefficients were compared by a Steiger's Z-test to identify the most efficient scaling technique. The current results revealed that it is valid to describe muscle volume (with exception of the rectus femoris muscle) and muscle belly length alterations over age by a simple linear regression equation till the age of 11 years. Normalizing muscle morphology data by allometric scaling was found to be most useful for comparing muscle volumes of different pediatric populations. For muscle lengths, normalization can be achieved by either allometric and ratio scaling. This study provides a unique normative database of four lower limb muscles in typically developing children between the age of 3 and 18 years. These data can be used as a reference database for pediatric populations and may also serve as a reference frame to better understand both physiological and pathological muscle development.

Study of supply-demand of Indonesia buton asphalt

National asphalt that was needed around 1.2 million tons per year are fulfilled by Pertamina's oil asphalt production around 272,040 tons (22.27%). Such a production is related to US$283.77 million, Indonesian natural asphalt (Asbuton) from Buton around 21,226 tons (1.74%) that is worth US$9.13 million. Its shortfall was met by the an import of 945,180 tons (77.39%) that is worth of US$473.77 million. The Asbuton resources are enormous around 792.5 million tons and its reserve is approximately 182.65 million tons. There are 16 Asbuton processing factories with the total capacity of roughly 2.03 million tons per year. However, their production is still 43,128 tons per year. It means the production utility is only 2.1% of the total production capacity. This study aims to optimize the use of Asbuton. Secondary data is obtained from various agencies, official websites, research reports, journals, and sharing sessions. Data analysis using an econometric model with a simple linear regression equation. The results show that the import substitution program starts in 2023, where the national asphalt needs are 935,180 tons, and its production is 253,473 tons and its import substitution in the first year is gradually around 96,061 tons, which means that the will be 585,647 tons so that the country can save foreign exchange of US $ 65.66 million. In 2031, substitution has exceeded the imports number, result and the excess capacity, thus opening up the export opportunities of 96,060 tons. Referring to such condition, the country can get additional income around US$656.59 million. This situation will continue until the end of the projection year in 2045.

DEVELOPING A UNIQUE MODEL ON BED PER DOCTOR & BED PER NURSE FOR INCREASED PATIENT SATISFACTION IN INDIA POST COVID-19 OUTBREAK

The Indian healthcare sector has gone through huge stress during the COVID-19 outbreak. The COVID-19 outbreak has shown that there is a huge need for a huge number of doctors, nurses, and paramedics, including beds in hospitals, during such a pandemic situation. Though the pandemic is slowly easing, the medical system in India still faces a lot of challenges. With a huge population, climatic conditions, and hygiene problems, India suffers from several vector-borne diseases like malaria, dengue, etc. As space is an issue in urban India and slums are prevalent in major cities, community-borne diseases transmit quickly, adding to the need for hospitalization. The number of hospitals in rural India is not as per requirement, and getting beds and proper healthcare services is a challenge. To add to all this, the cost of treatment is also high, though the central and state governments have several health insurance schemes for the benefit of the population. In this paper, 500 patients across 25 healthcare centers were questioned using a Likert scale to understand their satisfaction level with the prevalent medical system in India. Through factor analysis, the two important factors that played a major role in patient satisfaction (PS) were identified. Through a simple linear regression equation, two models were derived that would increase the PS. It may be noted that two parameters were analyzed in this paper, though there are several other factors that need to be investigated by other researchers.

DEVELOPING A UNIQUE MODEL ON BED PER DOCTOR & BED PER NURSE FOR INCREASED PATIENT SATISFACTION IN INDIA POST COVID-19 OUTBREAK

The Indian healthcare sector has gone through huge stress during the COVID-19 outbreak. The COVID-19 outbreak has shown that there is a huge need for a huge number of doctors, nurses, and paramedics, including beds in hospitals, during such a pandemic situation. Though the pandemic is slowly easing, the medical system in India still faces a lot of challenges. With a huge population, climatic conditions, and hygiene problems, India suffers from several vector-borne diseases like malaria, dengue, etc. As space is an issue in urban India and slums are prevalent in major cities, community-borne diseases transmit quickly, adding to the need for hospitalization. The number of hospitals in rural India is not as per requirement, and getting beds and proper healthcare services is a challenge. To add to all this, the cost of treatment is also high, though the central and state governments have several health insurance schemes for the benefit of the population. In this paper, 500 patients across 25 healthcare centers were questioned using a Likert scale to understand their satisfaction level with the prevalent medical system in India. Through factor analysis, the two important factors that played a major role in patient satisfaction (PS) were identified. Through a simple linear regression equation, two models were derived that would increase the PS. It may be noted that two parameters were analyzed in this paper, though there are several other factors that need to be investigated by other researchers.

The effect of online games on students’ mathematics learning outcomes at SMPN 1 Sintuk Toboh Gadang

The purpose of this study was to see the significant effect of online games on students' mathematics learning outcomes at SMP N 1 Sintuk Toboh Gadang. The approach used in this study is a quantitative approach with the type of correlational research, namely research conducted between two or more variables that aims to find out whether there is a relationship and if there is, how close the relationship is and whether or not the relationship is meaningful. The instrument used in this study was a questionnaire or questionnaire and learning outcomes test used to determine the effect of online games on students' mathematics learning outcomes. The analysis used in this study was simple linear regression analysis. The results showed that: 1. The mathematics learning outcomes of grade VIII SMPN 1 Sintuk Toboh Gadang students who liked to play online games varied widely 2. There was an influence between playing online games on the mathematics learning outcomes of eighth grade students of SMPN 1 Sintuk Toboh Gadang, which was indicated by F count = 47, 85 F table = 4.6 this can also be seen from the regression coefficient value of -0.882. The simple linear regression equation obtained is Y = 184.41-0.6X where Y is the result of learning mathematics and X is the online games variable. The conclusion is that there is a negative effect of online games on students' mathematics learning outcomes in class VIII SMPN 1 Sintuk Toboh Gadang, both up and down and all independent variables (X) have an effect on the dependent variable (Y) of 77.7%.

PEMBERIAN FASILITAS KERJA TERHADAP SEMANGAT KERJA PEGAWAI PADA KANTOR WALIKOTA ADMINISTRASI TANGERANG

This study discusses how to extend the influence of work on employee morale. Note obtained through the survey by distributing questionnaries by 84 respondents in the Administrative Office of the Mayor Tangerang.Analysis of data obtained from the calculation that R=0.723. In other words, the relationship of working facilities (X) of the Employee Morale (Y) is very strong. The the calculation of coefficient of determination (KD) R square of 52,3% (from 0.53 x 100%). Mean magnitude of the effect of giving employment facilities (X) 52,3%) influenced other causes outside of this regression, for example, allowances, salaries, leadership style, and others. While a simple linear regression equation of Y = 22.784 + 0.502 X, of the value of the regression can be interpreted that if the provision of employment facilities (X) value is 0, then the employee morale value of 22.784. Regression coefficient of variable of variable working facilities (X) of 0.502, menaing that if one increase the value, then the volume of work facilities (Y) will increase an increase of 0.502.

Pengaruh Penerapan Metode Pembelajaran Blended Learning Terhadap Motivasi Belajar Pada Mata Pelajaran Ekonomi di SMA Negeri 20 Pangkep

This study aims to determine and analyze the effect of applying blended learning on students' learning motivation in economics subjects at SMA Negeri 20 Pangkep. The research method in this research is quantitative method, and the data collection method in this study is through observation, documentation and questionnaires or questionnaires. The number of samples in this study were 95 from 129 students majoring in Social Sciences with grade X and grade IX at SMA Negeri 20 Pangkep and then analyzed using simple linear regression analysis. Based on the results of the study, it shows that there is a significant influence in the application of the blended learning on students' learning motivation in economic subjects at SMA Negeri 20 Pangkep. The simple linear regression equation shows the effect of the application of the blended learning learning method on students' learning motivation in economic subjects at SMA Negeri 20 Pangkep has a positive influence, and the magnitude of the influence of the application blended learning on students' learning motivation in economics subjects in SMA Negeri 20 Pangkep, amounted to 41.1% while 58.4% was influenced by other factors.

The Influence of Organizational Climate on Simultaneous the Effectiveness of General Election Public Services During the Covid-19 Pandemic

ABSTRACTThis research aims to determine and analyze the influence of organizational climate on simultaneous general election public services during the Covid-19 Pandemic at the General Election Commission Bone Bolango regency. This study uses a questionnaire as a primary data collection tool and data analysis techniques in quantitative research using statistics. The statistical test used in this study is descriptive statistics which is carried out to find the effect between the two variables through analysis of the regression test. The variables used in this study are Organizational Climate as the independent variable and public service as the dependent variable. This study found that the simple linear regression coefficients from organizational climate data and the effectiveness of simultaneous general election public services during the Covid-19 Pandemic were obtained at a = 19.38 and b = 0.30. Thus, the form of the simple linear regression equation obtained is Y = 19.38 + 0.30x. The results of the analysis of variance show that this equation is linear. In other words, the linear regression equation model is accepted and can be used to predict that if the organizational climate increases by one unit, the effectiveness of simultaneous general election public services during the Covid-19 Pandemic will increase by 0.30 units at a constant rate of 19.38 .

PENGARUH PENDAPATAN KARYAWAN PEMANEN KELAPA SAWIT TERHADAP PENGELUARAN KELUARGA DI AFDELING I DAN AFDELING II DI KEBUN KRUENG LUAS PT AGRO SINERGI NUSANTARA (ASN)

The income of oil palm harvesters is the profit earned from their work at the company where they work. Expenditures for the family of oil palm harvesting employees are expenditures used to meet family needs or improve their standard of living. The purpose of this study was to determine the effect of the income of oil palm harvesters on family expenses in Afdeling I and Afdeling II in Krueng Luas Plantation PT Agro Sinergi Nusantara (ASN). The research method in this research is simple linear regression analysis. The results of this study are the effect of income on expenses for oil palm harvesting employees on family welfare in Afdeling and Afdeling II, Krueng extensive plantations of PT. Agro Sinergi Nusantara (ASN) is calculated based on the income and expenses of all employees at PT. Agro Sinergi Nusantara (ASN) Afdeling I and Afdeling II. Data analysis using a simple linear regression equation with the results calculated using the statistical program (SPSS) temperature of 60 oC and yeast concentration of 6% (S3K3) with the value of each parameter, namely water content 17.55%, color organoleptic test 3.24 (like ) taste 3.28 (like), texture 3.28 (like) and aroma 3.12 (like). Based on the table, it can be seen that the results of the F test calculation can be explained that the Fcount value based on the SPSS calculation is 10.959 with a significant level of 5% and Ftable with a value of 4.28. Then H0 is accepted and H1 is rejected, in other words, the significant probability level is 5%.Keywords: Income, Expenditure, and Employees

Correlations Analysis of Different Pelvic Tilt Definitions: A Preliminary Study.

Background: Pelvic tilt (PT) is described as the pelvic orientation along the transverse axis, yet 4 PT definitions were established based on radiographic landmarks: anterior pelvic plane (PTa), the center of femoral heads to sacral plate (PTm), pelvic outlet (PTh), and sacral slope (SS). These landmarks quantify a similar concept, yet understanding of their relationships is lacking, and their differences are sometimes ignored. Purpose: This study aimed to examine the correlations and differences of PT definitions for education and research purposes. Methods: This study reviewed 105 sagittal pelvic radiographs of patients (68 men and 37 women) awaiting hip surgery at a single clinic. Hip hardware and spine pathologies were examined for subgroup analysis. Two observers annotated 4 PTs in a gender-dependent manner and repeated it after 6 months. The linear regression model and intraclass correlation coefficient (ICC) were applied with a 95% confidence interval. Results: The SS showed no correlation to the other 3 PT definitions, except for females in the hip hardware subgroup (n = 17). PTm demonstrated very strong linear correlation to PTh (r > 0.9) under the linear model PTm = 0.951 × PTh - 68.284. Conclusion: The PTm and PTh can be calculated from each other under a simple linear regression equation, which enables comparisons between them. SS presented poor correlations to the other PT parameters, except for the female subgroup with hip implant that required further analysis; PTa-related comparisons showed high anatomical variations between patients.

Pengaruh Komitmen Organisasi Terhadap Kinerja Pegawai di Kantor Sekretariat Daerah Kabupaten Aceh Barat

Organizational commitment is belief in the organization and plays a role in realizing organizational goals and has a desire to continue to be in the organization, performance is the result of work done by someone in his business. The purpose of this research was to determine whether there is an effect of organizational commitment on employee performance in the West Aceh Regional Secretariat office. The data analysis used in this research is simple linear regression. Based on simple linear regression equation analysis and hypothesis testing, it is known that there is an influence between organizational commitment (X) and employee performance (Y), this is proven by a simple linear test which shows that organizational commitment has a positive effect on employee performance in the Secretariat office. From the t-test, organizational commitment has a positive and significant impact on employee performance. Meanwhile, the f-test also shows that organizational commitment has a significant effect on the performance of employees in the Secretariat office. And the result of the determinant coefficient explains that 30.8% of employee performance is influenced by indicators of organizational commitment.

Ridership Demand Analysis for Palestinian Intercity Public Transport

This article presents results of research to study the intercity bus ridership demand, assess existing services, and form a basis to predict future ridership in the Palestinian territories. This study is the first of its type in the area.Intercity public transport between six governorates in the northern and central districts of the West Bank was examined. The relationship between public transportation demand and both operating and socioeconomic variables that influence demand was established. An on-board survey of intercity bus riders identified some of the variables that can potentially influence ridership demand. A simple linear regression equation of the ridership demand was developed using five independent variables: population of origin city, population of destination city, bus fare, percent of employees at origin city, and percent of higher education students at origin city. Ridership profiles and trip characteristics were also established.The study results can be used to evaluate existing public transportation and forecast future intercity public transport demand. Decision-makers can use the results to improve intercity public transport services and attract more riders. Future research should be based on this simple model, include the impact of other modes on intercity demand, include all governorates of the West Bank and Gaza Strip, and establish a comprehensive nationwide model.

PREDICTION, MONITORING, AND EARLY WARNING SYSTEM OF WATER LEVELS IN FLOOD PROGRAM AREAS IN BANJARMASIN USING IoT AND LINEAR REGRESSION

Banjarmasin is a city of a thousand rivers, floods often occur due to high tides and accompanied by rain. An early warning system is needed for monitoring and predicting river tides, especially in rivers that are prone to disasters. This study aims to develop an early warning system for river water levels using IoT and predicting linear regression analysis. The research method is through the manufacture of the NodeMCU V3 early warning system device , Microcontroller, and Ultrasonic A02YYUW. Monitoring to collect water level data at high tide is carried out on the banks of the river, then predictions are made using simple linear regression analysis. The results showed that an early warning system for river water levels at high tide can be read in the A02YYUW ultrasonic sensor database which is sent to the Mysql database. Water surface distance data with tools are used to predict early warning, simple regression analysis shows significant results on the t test and simple linear regression equation = 29.472 - 0.061 X + e. This means that the river water level at high tide approaches an early warning tool, namely an ultrasonic sensor. The conclusion of this study is that an IoT-based early warning system combined with simple linear regression can monitor and predict river water level rise.

PENGARUH DISIPLIN KERJA TERHADAP KINERJA PEGAWAI PADA KANTOR KELURAHAN LAPAI KECAMATAN NGAPA KABUPATEN KOLAKA UTARA

This study aims to test and find out whether the Work Discipline variable has an effect on employee performance at the Lapai Village Office. The population in this study was a total of 20 employees while the sample in this study was taken from a total population of 20 employees. Questionnaire is a data collection technique used. The collected data were analyzed and then entered into a simple linear regression equation. The findings in this study indicate that partially the Work Discipline variable has a positive effect with a coefficient value of 1.023 (positive) and it is significant on employee performan ce at the Lapai Village Office, Ngapa District, Kolaka Utara Regency, which means if work discipline is increased it will improve employee performance and contrarily. This is evidenced by the obtained value of t arithmetic > t table (2.509 > 1.72913) and the significance value at 5% level is smaller (0.022 < 0.05). So that the hypothesis proposed in this study is accepted.

Effect of Muslim Community Acceptance of Sexual Consent on the Effectiveness of the Minister of Education, Culture, Research and Technology Regulation Number 30 of 2021

This study aims to analyze the effect of Muslim community acceptance on the effectiveness of the Regulation of the Minister of Education, Culture, Research and Technology Number 30 of 2021 (Permendikbudristek No. 30 of 2021). The presence of the phrase "sexual consent" hereinafter referred to as sexual consent in Permendikbudristek No. 30 of 2021 has an impact on the issue of refusal of sexual consent among the Muslim community. As a country that is imbued with religious beliefs, especially Islam, the Muslim community is of the view that the existence of sexual consent can injure the noble values of the One Godhead. The rolling issue of refusal can affect the effectiveness of the law. This study uses a socio-legal legal research method with a sociological approach and a conceptual approach. Sources of data using primary and secondary data with data collection techniques through interviews and survey methods. The data obtained from the survey were analyzed using a simple linear regression equation. The results showed that based on the results of linear regression analysis, the acceptance of the Muslim community towards sexual consent has a significant effect on the effectiveness of Permendikbud No. 30 of 2021. The form of acceptance of the Muslim community tends to be in the form of rejection of sexual consent regulated in Permendikbud No. 30 of 2021. Keywords: Legal Effectiveness, Sexual Consent, Muslim Society, Divine Values.

PENGARUH ADAPTASI NEW NORMAL TERHADAP RENDAHNYA MINAT BELAJAR SISWA DI SMAN 2 LAMBU KABUPATEN BIMA

Problems related to the adaptation of the new normal to the low learning interest of New Normal students is a new life where people continue to carry out various activities as usual but still apply the health protocols that have been set by the government so that the spread of the Covid 19 Virus can be overcome. In contrast, if people ignore health protocols, the implementation of the new standard will cause the number of Covid-19 cases to increase. The new normal's performance impacts the world of education, where students are currently studying at home by implementing the online learning process. This study aimed to determine the influence and level of adaptation of the new normal to the low interest in student learning at SMAN 2 Lambu, Bima Regency. The research approach used is quantitative. This research is located at SMAN 2 Lambu, Bima Regency. The research variable used is the new normal adaptation as an influence variable (X), while student interest in learning is an affected variable (Y). The research population is 206 students. The sample used was 103 students. The research subjects were students of classes X and XI. The research time is two (2) months, from June to July 2022. Data collection using a questionnaire or questionnaire. The data analysis technique used a simple linear regression formula and the determinant test. The results of this study indicate that based on the analysis of simple linear regression equations with a value of = 1830679 + 2281873 X = 2464940, while the value of Ftable is 3.94, therefore there is an effect of adapting the new normal as the X variable to the low interest in student learning as the Y variable in SMAN 2 Lambu, Bima Regency. The level of influence in the two research variables is 86.5%, while other variables determine 13.5%.

Fast identification and quantification of c-Fos protein using you-only-look-once-v5.

In neuroscience, protein activity characterizes neuronal excitability in response to a diverse array of external stimuli and represents the cell state throughout the development of brain diseases. Importantly, it is necessary to characterize the proteins involved in disease progression, nuclear function determination, stimulation method effect, and other aspects. Therefore, the quantification of protein activity is indispensable in neuroscience. Currently, ImageJ software and manual counting are two of the most commonly used methods to quantify proteins. To improve the efficiency of quantitative protein statistics, the you-only-look-once-v5 (YOLOv5) model was proposed. In this study, c-Fos immunofluorescence images data set as an example to verify the efficacy of the system using protein quantitative statistics. The results indicate that YOLOv5 was less time-consuming or obtained higher accuracy than other methods (time: ImageJ software: 80.12 ± 1.67 s, manual counting: 3.41 ± 0.25 s, YOLOv5: 0.0251 ± 0.0003 s, p < 0.0001, n = 83; simple linear regression equation: ImageJ software: Y = 1.013 × X + 0.776, R2 = 0.837; manual counting: Y = 1.0*X + 0, R2 = 1; YOLOv5: Y = 0.9730*X + 0.3821, R2 = 0.933, n = 130). The findings suggest that the YOLOv5 algorithm provides feasible methods for quantitative statistical analysis of proteins and has good potential for application in detecting target proteins in neuroscience.