Identifikasi kecakapan inovasi lembaga riset di Indonesia berbasis dokumen

Introduction. Duplication in inventions produced by research institutions in Indonesia becomes an issue. It is important to map the specialization of the invention in research institutions. This study examines the mapping of the innovation in research institutions in Indonesia. Data Collection Method. This study uses a patent-based technology document analysis method to map the potential of technology. The data used is patent data registered in the Direktorat Jenderal Kekayaan Intelektual (DJKI) database. Data Analysis. Metadata analysis was conducted by using the K-Means Klastering method with R software. Results and Discussions. The findings in the pre-analysis show that when the independent variable involved in the model are very large, the Localized feature selection method can effectively select variables without losing much information. There are 5 dominant technology groups that can be produced by research institutions in Indonesia, namely 1) Technology related to the development of measurement and testing instrument technology; 2) Technologies related to food and food ingredients; and 3) microstructural test equipment / detectors; 4) radar technology; 5) Technology in agriculture. Conclusion. The findings show that there are still overlapping inventions by several research institutions in the same technology cluster. K-means clustering with LFSBSS pre analysis has a clear performance in the technology cluster space.

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C. PENGARUH UTANG LUAR NEGERI DAN EKSPOR TERHADAP PERTUMBUHAN EKONOMI (Studi pada Produk Domestik Bruto Indonesia Periode 2015-2019)

Inovasi Manajemen dan Kebijakan Publik ◽

10.54980/imkp.v4i1.116 ◽

2021 ◽

Vol 4 (1) ◽

pp. 22

Author(s):

Farah Syahri Maulidiyah

Keyword(s):

Economic Growth ◽

Time Series ◽

Regression Analysis ◽

Linear Regression Analysis ◽

Foreign Debt ◽

External Debt ◽

Multiple Linear Regression Analysis ◽

Analysis Method ◽

Indonesian Government ◽

Independent Variable

ABSTRACT The purpose of this research is to analyze the influence of exports and foreign debt which can affect Indonesia's GDP (Gross Domesty Product). The variables of this research are the foreign debt value of the Indonesian government and the value of Indonesian exports as the independent variable, and the value of Indonesia's GDP as the dependent variable. The data used are supporting data for the 2015-2019 period from the time series (time series) of Bank Indonesia and BPS. The data analysis method used multiple linear regression analysis. The results of this study are the value of the Indonesian government's foreign debt and the value of Indonesia's exports have a significant effect. Meanwhile, the results of the partial test (t-test) show that the value of foreign debt and exports of the Indonesian government greatly affects the value of Indonesia's GDP. Keywords : External Debt, Export, Economic Growth (Menggunakan template jurnal sinta 2 JESP (Jurnal Ekonomi dan Studi Pembangunan) eISSSN : 2502-7115 l pISSN : 2502-7115 Universitas Negeri Malang).

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PENERAPAN METODE BOOTSTRAP RESIDUAL DALAM MENGATASI BIAS PADA PENDUGA PARAMETER ANALISIS REGRESI

E-Jurnal Matematika ◽

10.24843/mtk.2014.v03.i04.p075 ◽

2014 ◽

Vol 3 (4) ◽

pp. 130

Author(s):

NI MADE METTA ASTARI ◽

NI LUH PUTU SUCIPTAWATI ◽

I KOMANG GDE SUKARSA

Keyword(s):

Regression Analysis ◽

Statistical Analysis ◽

Confidence Intervals ◽

Bootstrap Method ◽

Least Square ◽

Prediction Tool ◽

Analysis Method ◽

Ordinary Least Square ◽

Independent Variable ◽

Parameter Estimators

Statistical analysis which aims to analyze a linear relationship between the independent variable and the dependent variable is known as regression analysis. To estimate parameters in a regression analysis method commonly used is the Ordinary Least Square (OLS). But the assumption is often violated in the OLS, the assumption of normality due to one outlier. As a result of the presence of outliers is parameter estimators produced by the OLS will be biased. Bootstrap Residual is a bootstrap method that is applied to the residual resampling process. The results showed that the residual bootstrap method is only able to overcome the bias on the number of outliers 5% with 99% confidence intervals. The resulting parameters estimators approach the residual bootstrap values ??OLS initial allegations were also able to show that the bootstrap is an accurate prediction tool.

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What Makes an Individual Invest in Stocks?

Journal of Global Business and Management Review ◽

10.37253/jgbmr.v1i2.655 ◽

2019 ◽

Vol 1 (2) ◽

pp. 37

Author(s):

Candy Candy

Keyword(s):

Multiple Regression ◽

Quantitative Data ◽

Subjective Norms ◽

Behavioural Control ◽

Analysis Method ◽

Perceived Behavioural Control ◽

Behavioral Biases ◽

Independent Variable

The purpose of this research is to examine the factors that influence intention to invest in stocks of an individual. This research are using quantitative data with 395 questionnaires collected from Batam residents who as sample. Questionnaire consists indicators for independent variable that included attitude, perceived behavioural control, subjective norms, past behavioral biases and intention to invest. Multiple regression used as the analysis method and result showed that all independent variable have a positive significant effect on intention to invest. It means those factors can motivated an individual to invest in stocks market.

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Smartphone Addiction, Narcissism and Aggression: A Mediation Analysis Method

10.31124/advance.10096058.v1 ◽

2019 ◽

Author(s):

Anjelica Simsek ◽

Cahit Nuri ◽

Cemaliye Direktor ◽

Ahmet Arnavut

Keyword(s):

Direct Effect ◽

Indirect Effect ◽

Mediation Analysis ◽

Total Effect ◽

Mediation Effect ◽

Smartphone Addiction ◽

Analysis Method ◽

Variable Effect ◽

Independent Variable ◽

Mediator Variable

At this study, meditation effect of aggression was analyzed using Baron and Kenny’s mediation analysis method. Baron and Kenny (1986) indicates that to analyze the effect of mediator variable 3 criteria have to be actualized: 1. Independent variable have a significant effect on a mediator variable (way a) 2. Mediator variable have a significant effect on a dependent variable (way b) 3. Independent variable have a significant effect on a dependent variable (way c) PROCESS program were used the meditational effect, it is an extra macro that is downloading to the Daniel and Hayes’s (2016) SPSS program. In this program mediation effect could be evaluated as; total effect, direct effect and indirect effect scores of mediation variable effect on dependent variable (Preacher & Hayes, 2008).

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Pengaruh Lingkungan Kerja dan Motivasi Terhadap Kepuasan Kerja dan Dampaknya Terhadap Kinerja Pegawai pada Kantor Pertanahan Kabupaten Merangin Provinsi Jambi

J-MAS (Jurnal Manajemen dan Sains) ◽

10.33087/jmas.v4i1.82 ◽

2019 ◽

Vol 4 (1) ◽

pp. 142

Author(s):

Kartono Agustiyanto ◽

Tety Asnawi ◽

Susilawati Susilawati

Keyword(s):

Job Satisfaction ◽

Hypothesis Testing ◽

Work Environment ◽

Employee Performance ◽

Descriptive Analysis ◽

Working Environment ◽

Analysis Method ◽

Independent Variable

The purpose of this research are to knowing, analyze, and reviewing the influence of work environment and motivation on job satisfaction and impact on employee performance at Land Office, Regency of Merangin, Jambi Province. The analysis method used are descriptive analysis and verification analysis. Descriptive analysis is used to reveal the facts of the object that have been research. While verification analysis is used to test and measure the influence of independent variable X1 (Work Environment) and X2 (Motivation) to the dependent variable Z (Performance) with intervening variable Y (Job Satisfaction). The result of this research and hypothesis testing that have been conducted got the result that : 1) Effect of work environment on job satisfaction directly and indirectly is 9,001%; 2) The influence of motivation on job satisfaction directly and indirectly is 69,739%; 3) Effect of work environment and joint motivation to job satisfaction is 78,740%; 4) The effect of working environment on the performance directly and indirectly is -1,945 %; 5) The influence of motivation on performance directly and indirectly is 15,639%; 6) The influence of working environment and joint motivation on performamce is 13,693%; 7) The effect of job satisfaction on performance is 15,682%; 8) The influence of working environment and joint motivation on performance through job satisfaction is 14,009%.

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Pengaruh Kompetensi Kerja Terhadap Kinerja Karyawan

Bisma: Jurnal Manajemen ◽

10.23887/bjm.v7i1.28736 ◽

2021 ◽

Vol 7 (1) ◽

pp. 29

Author(s):

Ni Komang Dewi Krisnawati ◽

I Wayan Bagia

Keyword(s):

Quantitative Research ◽

Employee Performance ◽

Likert Scale ◽

Linear Analysis ◽

Analysis Method ◽

Independent Variable ◽

Job Competence

This study aims to test work competence on the performance of employees of PT Sapta Prima Cargo. This research is a type of causal quantitative research. The subjects of this study were employees of PT Sapta Prima Cargo and the objects in this study were variables of work competence and employee performance. The population used in this study were all employees of PT Sapta Prima Cargo connecting 40 people. The instrument used in studying the data is a questionnaire which will be given a score based on the Likert scale. This study uses a regional linear analysis method with regression of the dependent variable and one independent variable. The results of this study indicate that job competence has a positive and significant effect on employee performance.

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Analisis Pengaruh Tingkat Bunga, Tingkat Inflasi, Earning Per Share Terhadap Harga Saham PT. Bank Mandiri (persero) Tbk.

Jurnal Ekonomi Integra ◽

10.51195/iga.v3i1.103 ◽

2018 ◽

Vol 3 (1) ◽

pp. 011

Author(s):

Didi Rahmat

Keyword(s):

Regression Analysis ◽

Interest Rate ◽

Multiple Regression Analysis ◽

Multiple Regression ◽

Stock Price ◽

Inflation Rate ◽

Analysis Method ◽

Independent Variable

In this research, we investigate impact of Inflation Rate, Interes Rate and Earning per Share as independent variable to the PT. Bank Mandiri (persero) Tbk. stock price. We use causality research with multiple regression analysis method to answer the hypothesis. As conclusion that find, all independent variabel have impact significantly to the stock price in 0.78%. In partial, inflation has no impact to the stock price. In other way, interest rate have significantly influence to the stock price. But the influence is negative. EPS fositive have influence significantly to stock price.

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Data Visualization And Sales Prediction of PD. Asia Agung (Ajinomoto) Pontianak in 2019

International Journal of New Media Technology ◽

10.31937/ijnmt.v7i2.1697 ◽

2020 ◽

Vol 7 (2) ◽

pp. 51-57

Author(s):

Willy Yunus ◽

Ririn Ikana Desanti ◽

Wella Wella

Keyword(s):

Linear Regression ◽

Multiple Linear Regression ◽

Original Data ◽

Analysis Method ◽

Average Income ◽

West Kalimantan ◽

Regression Methods ◽

Sales Prediction ◽

Independent Variable ◽

Using Data

PD. Asia Agung Pontianak is the only official distributor of Ajinomoto in the West Kalimantan region. Every year this company needs to find out the amount of turnover that will be obtained in the coming year. Unfortunately, the company only makes predictions using the average income from each year which is very less accurate. This research is conduct to create visualizations and predictions using multiple linear regression methods to predict the turnover obtained in the coming year. Multiple linear regression is a regression analysis method that can use more than 2 variables in the prediction process which is divided into 2 parts, namely the dependent variable and the independent variable. The results obtained in this research are prediction results in 2019 using data from 2010 to 2018 as a basis. Prediction results show that the longer the data used the smaller the error rate obtained. The original data from the company is visualized using a dashboard on tableau software so that the data could be easier to analyze by the company.

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Adopting a QCA Approach to Investigating the Risks Involved in Megaprojects from Auditing Perspective

Discrete Dynamics in Nature and Society ◽

10.1155/2019/4037859 ◽

2019 ◽

Vol 2019 ◽

pp. 1-9 ◽

Cited By ~ 1

Author(s):

Liang Ma ◽

Bing Zhang ◽

Miao Cui ◽

Ruoyu Jin

Keyword(s):

Comparative Analysis ◽

Quantitative Analysis ◽

Qualitative Analysis ◽

Empirical Analysis ◽

Contract Management ◽

Analysis Method ◽

Related Risk ◽

Construction Risk ◽

Quantitative Analysis Method ◽

Independent Variable

There is an increase of megaproject construction worldwide. At the same time, risks involved in megaprojects have also become a wide concern. Extending from the macrolevel of qualitative analysis focusing on complexity, politics, and morality, the research conducted the microscopic empirical analysis on twenty-two typical cases by adopting the quality comparative analysis (QCA) from the auditing perspective. Different from the traditional analysis method taking each causation as independent variable, the results in the study revealed that there was complex multiple concurrent causation among eight conditions; additionally, the configuration of those would be divided into six types, among which, the coverage of the three types, namely, project management risk, preliminary and construction risk, and tendering and contract management related risk, was almost eighty percent. Finally, megaproject risks in China were caused by complicated and changeable combination conditions, which would provide a new breakthrough for seeking analyzing megaproject risks through this quantitative analysis method, and indicate the researchers and practitioners to control the megaproject risks from a more systematic way.

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A metabolomic signature for predicting chemosensitivity in gastric cancer.

Journal of Clinical Oncology ◽

10.1200/jco.2017.35.15_suppl.e15504 ◽

2017 ◽

Vol 35 (15_suppl) ◽

pp. e15504-e15504

Author(s):

Francisco José García Verdejo ◽

Ana Laura Ortega Granados ◽

Caridad Díaz Navarro ◽

Natalia Luque Caro ◽

David Fernández Garay ◽

...

Keyword(s):

Gastric Cancer ◽

Principal Component ◽

Pathological Response ◽

Healthy Controls ◽

Test Results ◽

Analysis Method ◽

Serum Samples ◽

Curative Surgery ◽

Resectable Gastric Cancer ◽

Independent Variable

e15504 Background: Perioperative chemotherapy (QT) with platinum and fluoropyrimidines with or without anthracyclines is recommended option in patients with resectable gastric cancer (GC) at least cT2 or nodal involvement. Another option is surgery followed by QT with radiotherapy (QT/RT) or QT without RT in patients with D2 lymphadenectomy. Unfortunately, a considerable percentage of patients progress during neoadjuvant-QT (neo-QT) and some cases become inoperable cancer. These patients could benefit from curative surgery after diagnosis without neo-QT. Currently, histological/molecular markers have not been established to predict which patients can benefit from neo-QT. As potent analysis method, study of blood metabolites of resectable GC patients to establish a profile to differentiate responder patients (R-P) or not-responder (NR-P) to neoadjuvant-QT is promising. To establish a metabolomic profile or metabolomic signature and correlate with chemosensitivity, defined as pathological and clinical response is our endpoint. Methods: To this end we performend an untargeted metabolomic analysis by LC-HRMS of serum samples from resectable GC patients before neo-QT (n = 20 vs n = 10 healthy controls). Chemosensitive tumors were defined as those with good pathological response (Mandard 1 or 2) and partial response by TAC and chemoresistance tumors, defined as those with poor pathological response (Mandard 5) or/and progression by TAC. Reverse phase and HILIC chromatographic modes were applied to deal with highly polar as well as hydrophobic as required for untargeted metabolomics. For identification of potential biomarkers, we used in combination 2 independent variable selection techniques: principal component analysis and Student t test. Results: 11 patients were R-P and 9 patients were NR-P. We observed differences in metabolic profile between patients with GC & healthy controls and R-P & NR-P to neo-QT. Seven identified metabolites contributed most to the differentiating between R-P and NR-P. Conclusions: There are different metabolomic phenotypes among patients R-P and NR-P to neo-QT. It is necessary to validate a metabolomic signature to allow effective chemosensitivity prediction in patients with resectable GC.

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