The influence of government and MUI mediations towards marketing strategy of Warteg and its impact on developing MSMEs in Jakarta, Indonesia

Figures & data

Table 1. Data types, data sources, and data collection

Number	Variable	Data Type	Data Source	Data Collection
1	Mediation of The Government of Jakarta	Interval Scale Data	Department of Cooperatives and SME of Jakarta	Questionnaire Instrument
2	Mediation of Indonesian Council of Ulama Jakarta	Interval Scale Data	Indonesian Council of Ulama Jakarta	Questionnaire Instrument
3	Warteg Marketing Strategy	Interval Scale Data	Department of Cooperatives and SME of Jakarta	Questionnaire Instrument
4	Development of MSME in Jakarta	Interval Scale Data	Department of Cooperatives and SME of Jakarta	Questionnaire Instrument

Source: Primary Data, December 2017 (Processed)

Table 2. Characteristic description of research variables

Variable	Dimension	Indicator	Scale
Government of Jakarta Mediation	Problem/disputes solving process.	Ability to identify problems; Ability to formulate problems.	Interval
	Parties involved in the dispute.	Ability to control; Ability to influence.	Interval
	Advisor	Able to help; Able to be a companion; Able to be a defender.	Interval
Mediation of Indonesian Council of Ulama Jakarta	Guiding the process of solving the problems/disputes of the Muslims.	Understand the meaning of Islamic transformation and reform in the socio-political order; Identification of Contemporary Basic Issues and Its Implications for the Realization of Conceptions of the Ummah.	Interval
	There is a problem/dispute between two or more parties.	Attitudes of the disputes between two parties.	Interval
	Guiding those who involved in the problem/disputes of the Muslims.	Able to solve in a Win-Win Solution way.	Interval
	Protect the Muslims.	Able to give advice and fatwa about religion and society to the government.	Interval
	Building relationships and cooperation among organizations, Islamic organizations, and intellectuals.	Able to hold consultation and information on a reciprocal basis.	Interval
Warteg Marketing Strategy	Warteg’s overall marketing plan	Able to make Warteg marketing strategic planning.	Interval
	Integrated plan of Warteg marketing	Able to prepare an integrated Warteg marketing program.	Interval
	Provide Warteg marketing guidelines.	Able to direct, coordinate and supervise or control the marketing activities of Warteg.	Interval
	Activities in achieving Kowarteg’s goals through advertising.	Able to manage effective Warteg advertising activities.	Interval
	Activities in achieving Kowarteg’s goals through promotion programs.	Able to understand the most effective way of to promote Warteg.	Interval
	Activities in achieving Kowarteg’s goals through sales.	Able to carry out Warteg’s business activities optimally.	Interval
	Activities in achieving Kowarteg’s goals through product programs.	Able to create strong warteg branding.	Interval
	Activities in achieving Kowarteg’s goals through distribution.	Able to simplify Warteg distribution chain.	Interval
Impact of Development of MSME (Kowarteg) of Jakarta	Strong influence that has an impact on what has been achieved by micro business.	MSME (Kowarteg) is expected to compete healthily with big market.	Interval
	Strong influence that has an impact on what has been achieved by small business.	Able to empower MSME (Kowarteg) to the future economy.	Interval
	Strong influence that has an impact on what has been achieved by medium enterprises.	Able to build Kowarteg’s empowerment to face of the strong.	Interval

Source: Primary Data, December 2017 (Processed)

Table 3. Multicollinearity Test

Model	MUI Fatwa	Government Mediation
Correlations Fatwa of Indonesian Council of Ulama Jakarta	1.000	−.643
Government of Jakarta Mediation	-.643	1.000
Covariances Fatwa of Indonesian Council of Ulama Jakarta	.004	−.003
Government of Jakarta Mediation	-.003	.003

Source: Primary Data, December 2017 (Processed).

Table 4. Tolerance values

Model	Collinearity Statistics	VIP
	Tolerance
Government of Jakarta Mediation	.289	3.461
Fatwa of Indonesian Council of Ulama Jakarta	.289	3.461

Source: Dependent Variable: Fatwa of Indonesian Council of Ulama DKI Jakarta, December.

Table 5. Linearity test of government of DKI Jakarta mediation

	Sum of Squares	Df	Mean Square	F	Sig
Fatwa of Indonesian Council Between Groups of Ulama Jakarta (Combined)	3781.665	26	145.449	19.104	.000
Government of Jakarta Mediation	3540.980	1	3540.980	465.102	.000
Linearity	240.686	25	9.627	1.265	226
Deviation from Linearity	464.414	61
Within Groups	4246.080	87
Total			7.613

Source: Primary Data, December 2017 (Processed).

Table 6. The linearity test of Fatwa of MUI DKI Jakarta

	Sum of Squares	Df	Mean Square	F	Sig.
Fatwa of Indonesian Council Between Groups (Combined) of Ulama Jakarta Linearity	3258.163	24	135.757	8.657	.000
Linearity	2844.171	1	2844.171	181.374	.000
Deviation from Linearity	413.992	23	18.000	1.148	.324
Within Groups	987.917	63	15.681
Total	4246.080	87

Source: Primary Data, December 2017 (Processed).

Figure 1. Diagram Design.

Table 7. Coefficient of determination value

Model	R	R Square	Adjusted R Square	Std. Error of The Estimate
1	.918^2	.842	.836	3.809

Adjusted R. Square = 0,838, thus.

KD = r² x 100%.

KD = 0, 838 x 100%.

KD = 83,8%.

Table 8. Analysis of variance (Anova) and F-count value

Model	Sum of Squares	Df	Mean Square	F	Sig.
Regression	10,611.385	3	3537.128	172.811	.000^2
Residual	17,119.331	84	20.468
Total	12,330.716	87

Source: Primary Data, December 2017 (Processed)

Table 9. T Test Result Statistics

Model	Coefficientsa
	Unstandardized Coeffisients	Std.Error	Standardized Coeffisien	T	Sig.
	B		Beta
1 (Constant)	5.365	1.522		3.524	.001
Jakarta Government Mediation.	.503	.052	.772	9.627	.000
Fatwa of Indonesian Council of Ulama Jakarta	.133	.063	.167	2.088	.040

Source: Primary Data, December 2017 (Processed)

Table 10. Dependent Variable: Warteg Marketing Strategy

Model	Unstandardized Coeffisients	Std.Error	Standardized Coeffisien	T	Sig.
	B		Beta
1 (Constant)	1.841	2.625	.549	.701	.005
Jakarta Government Mediation.	.609	.122	.570	5.009	.000
Fatwa of Indonesian Council of Ulama Jakarta	.768 .282	.105 .175	.165	7.329 1.611	.000 .001

Source: Primary Data, December 2017 (Processed)