Kontigensi: Jurnal Ilmu Manajemen Vol 13.
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MODELING NET BENEFIT IMPROVEMENT THROUGH LEADERSHIP
SUPPORT: A CASE STUDY ON FREE NUTRITIOUS MEALS (MBG)
1Yono Maulana, 2Dedi Prasetyo, 3Windayanti, 4*Prasetyo Harisandi 1Universitas Swadaya Gunung Jati.
Cirebon.
Indonesia 2Inspektorat Kepolisian Negara Republik Indonesia (IRWASUM POLRI).
Jakarta.
Indonesia 3Faculty of Economics and Business.
Universitas MH Thamrin.
Jakarta.
Indonesia 4Fakultas Ekonomi dan Bisnis.
Universitas Pelita Bangsa.
Bekasi.
Indonesia E-mail: yono.
maulana@ugj.
ABSTRACT
This study aims to propose and empirically test a model that explains how System Quality (QS).
Training Effectiveness (EP), and System Usage (PS), under the influence of Leadership Support (DK), contribute to Net Benefits (MB) in the context of the Free Meal Program (MBG) in Indonesia.
The methodology used is a case study with data collection through a survey of program implementers and stakeholders.
The main analysis technique proposed is Structural Equation Modeling (SEM).
The hypothetical findings show that Leadership Support significantly moderates the relationship between System Use and Net Benefits, and System Quality and Training Effectiveness have a positive effect on System Use.
The main contribution of this research is the extension of the DeLone & McLean Information Systems Success Model by integrating a comprehensive leadership support construct in the context of a large-scale public welfare program.
Practical implications are aimed at improving the effectiveness of MBG programs and similar public initiatives.
Keywords: Free Meal Program (MBG).
Net Benefits.
Leadership Support.
System Quality.
Training Effectiveness.
System Usage.
DeLone & McLean IS Success Model.
Public Sector.
INTRODUCTION
farmers and cooperatives in the The Free Nutritious Meal provision of raw materials.
1 With a Program (MBG), also known as the Free target beneficiary base of tens of Nutritious Meal Program (FNMP), is a millions and a significant budget crucial national initiative in Indonesia allocation, the program has strategic that aims to address malnutrition and significance for national development.
improve the quality of human resources The success of a large-scale program like (BGN, 2.
The program is designed the MBG depends heavily on effective as part of the broader AuGolden implementation and the ability to Indonesia 2045Ay vision, with a focus on demonstrate tangible benefits to the providing equitable access to nutritious community and the country.
The food to support the development of the importance of the MBG program lies not nation's children (BGN, 2.
The only in the provision of food, but also in MBG's its potential long-term impact on eradicating malnutrition, improving improving the quality of life and outcomes, and stimulating the local Investments in school-age children's economy through the involvement of nutrition are believed to directly Kontigensi: Jurnal Ilmiah Manajemen Management Science Doctoral Program.
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contribute to cognitive development, school performance, and ultimately.
Therefore, evaluating and improving the effectiveness of this program is highly relevant.
Despite application of information technology, various challenges still occur, especially in the context of the public sector (Fauzi et al.
, 2.
Therefore, it is necessary to implementation of the MBG program remains consistent with the main objectives and national policies (Tarigan & Ambarita, 2.
Therefore.
MBG applications need to be positioned as an integral part of the organization's strategy, not just a technology activity (Levinson et al.
, 1.
On the other hand, the quality of human resources is a key element in the successful implementation of the program (Azmy et al.
, 2.
The effectiveness of MBG implementation is greatly influenced by the readiness and ability of users, ranging from field officers, supervisors, to managers at the regional and central levels (Aji & Mala.
Capacity building through education and practical training is essential so that users have the competencies, skills, and attitudes that support maximum utilization of the application (Safira Armah & Rayyan Firdaus, 2024.
Wira Kusuma, 2.
Without the support of reliable human information systems will not be able to have an optimal impact (Apsari et al.
The utilization of learning technologies, such as e-learning, can also be an effective solution to reach large-scale trainees (Harisandi.
Rabiatul Hariroh, et al.
, 2.
Although studies related to the implementation of information systems (DeLone & McLean, 2003a.
Viriando & Sfenrianto, 2.
as well as the effectiveness of training has been done a lot (Harisandi.
Rabiatul Hariroh, et al.
There is still a lack of research that perspectives of strategic management, human resource development, and evaluation of government nutrition program monitoring applications in Indonesia according to the standards of national and international reputable journals (Sutrisno et al.
, 2.
address this gap, this study uses the DeLone & McLean (D&M) information system success model approach as an evaluative framework (Ojo, 2.
, which has been adjusted by adding variables of System Quality.
HR Training Effectiveness (Jun et al.
, 2.
and Strategic Leadership Support as early determinants of System Usage.
User Satisfaction, and Net Benefits in the form of increased monitoring effectiveness and reporting quality (Ikhsan & Bustamam, 2016.
Robertson.
Recent research reveals that the information systems in the public sector is highly dependent on a combination of system quality, managerial support, (Harisandi.
Muhammad Mardiputra, et , 2.
(Khairrunnisa & Yunanto, 2.
emphasized that while the technical aspects of the system play an important role, the active involvement of users facilitated through effective training and ongoing management support is a key determinant of successful implementation (Harisandi.
Yahya.
Rahmiati, et al.
, 2.
In this context, the study conducted by (Bock & Kontigensi: Jurnal Ilmiah Manajemen Management Science Doctoral Program.
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Poole, 2013.
Kurbani, 2.
shows that local leadership plays a crucial role in driving system adoption by field implementation of social assistance programs in disadvantaged areas (Harisandi.
Yahya, et al.
, 2.
Recent research by (Mendrofa & Hastuti, 2.
emphasized that human resource development plays a crucial role in information technology strategic planning, especially in large-scale social programs such as school nutrition They argue that technical training alone is insufficient to ensure long-term monitoring effectiveness.
training needs to be designed to shape strategic understanding and foster a sense of responsibility for system (Harisandi.
Rabiatul Hariroh, et al.
, 2.
In this context, (Khairrunnisa & Yunanto, 2.
showed that the DeLone & McLean model is still relevant as an evaluation framework for government applications, especially when modified by adding contextual elements such as strategic leadership support and customized training.
These findings provide a strong empirical foundation for this research in designing a more comprehensive evaluation approach for MBG app This study evaluates the increase in net benefits in the implementation of public sector programs, which refers to the difference between the value of benefits received by the community and the total costs incurred.
This concept is a key indicator in assessing the government programs (Boardman et al.
Various public programs, including the Free Nutritious Meal Program (MBG), have often come under scrutiny for their impact on society and the efficient use of the state budget (BGN, 2.
While the MBG is aimed at supporting local economic growth, its implementation still faces constraints governance weaknesses, and fiscal Therefore, a comprehensive evaluative approach is needed to assess the various factors that influence the success of the program and the achievement of its net benefits (Harisandi.
Sari, et al.
, 2.
In the context of a national program like the MBG, the existence of a reliable information system (IS) is SI is used in real-time program planning, implementation, monitoring, and evaluation (DeLone & McLean.
Quality Information system supports data-driven decision-making and accelerates work processes, thereby However, implementation depends not only on the technology, but also on the readiness of the human resources using Therefore, comprehensive trainingnot only focusing on technical aspects, understanding and responsibility for results-is crucial (Harisandi.
Yahya, & Istiqomah.
Furthermore, strategic leadership at various levels national, regional and school - plays an important role in ensuring program Effective leadership plays a role in managing resources, establishing a clear vision, and encouraging optimal utilization of SI and human resource potential (Robertson & Barling, 2.
This study focuses on the development of a Net Benefit Improvement Model Leadership Support with a case study of MBG Kontigensi: Jurnal Ilmiah Manajemen Management Science Doctoral Program.
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implementation in Indonesian public primary schools.
Different from previous studies that only highlighted technical or institutional aspects, this study offers a new contribution by integrating three key components:
information system quality.
HR capacity development, and strategic leadership support into an integrated framework tailored to the context of the national nutrition program.
The DeLone & McLean model is modified by adding the variables of strategic leadership and HR training effectiveness as key determinants of system usage and net benefit achievement.
This study not only expands the theoretical scope of the D&M model, but also makes a practical contribution to evidence-based policy development for strengthening the governance of digital nutrition programs in educational settings through a multidimensional approach that includes technological, human, and organizational strategy aspects.
Net Benefit in a Case Study on Free Nutritious Meals Net Benefit measures the overall impact of information systems on efficiency, and user satisfaction.
positive net benefit indicates that the information system adds significant value (Petter et al.
, 2.
System Quality in a Case Study on Free Nutritious Meals System Quality refers to the technical characteristics of information systems, including reliability, ease of use, response time, and security.
High system quality ensures that the system can operate efficiently and effectively, supporting the needs of users in carrying out their tasks (Petter et al.
Training Effectiveness di Studi Kasus Pada Makan Bergizi Gratis Training Effectiveness measures the extent to which training improves participants' knowledge, skills and performance, and the impact on Evaluation of training effectiveness is important to ensure that investments in training add value to individuals and (Beal et al.
, 2017.
Gaeta et , 2.
System Usage in Case Study on Free Nutritious Meals System Usage refers to the extent to which users utilize information systems in their activities.
High system usage indicates that the system is relevant and useful to users, which can increase operational efficiency and effectiveness (Petter et al.
, 2.
Strategic Leadership Support in a Case Study on Free Nutritious Meals Strategic Leadership Support includes the active role and support of organizational leaders in the planning, implementation, and maintenance of Strategic leadership ensures that the information system aligns with organizational goals and gets the resources necessary for its success(Dimitrios et al.
, 2.
Based on the theoretical and above, this study seeks to answer the following main research questions to evaluate the successful implementation of MBG:
First, it examines how the quality of the MBG application system - defined as ease of use, reliability, and functionality - affects user satisfaction and system usage.
Second, it evaluates how the effectiveness of staff training, as measured by participant reactions, learning outcomes, and behavior Kontigensi: Jurnal Ilmiah Manajemen Management Science Doctoral Program.
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change, contributes to successful Third, analyze how the combination of system usage and user satisfaction contributes to improved MBG program monitoring effectiveness and reporting quality .
et benefit.
Fourth, this study assesses the mediating role of strategic leadership engagement, in influencing whether application adoption provides more or less power or influence on net benefits.
Taken together, these themes provide a comprehensive framework multidimensional drivers of digital system success in public sector The objectives of this study are to:
Analyze the influence of system effectiveness, system usage on net benefits through strategic leadership support.
Identify the most significant factors .
ystem quality, training effectiveness, system usage.
MBG Figure 1.
Conceputal Framework and Hipotesis The framework above illustrates leadership support has a positive effect the relationship between system on the net benefits gained from system quality, training effectiveness, and implementation, such as increased system usage on strategic leadership support, which in turn affects the net achievement of program objectives such benefits of the system used in the as Free Nutritious Meals in Indonesia.
METHOD
The first hypothesis (H.
This uses a quantitative states that system quality has a positive method with a survey approach to test effect on strategic leadership support.
the conceptual model developed along The second hypothesis (H.
states that with the hypotheses proposed.
The training effectiveness also has a positive impact on strategic leadership support.
questionnaire that was prepared based Meanwhile, the third hypothesis (H.
on indicators from each research proposes that high system usage can variable, and had gone through an increase the support of strategic initial trial stage and validation by Finally.
Respondents consisted of MBG hypothesis (H.
states that strategic Kontigensi: Jurnal Ilmiah Manajemen Management Science Doctoral Program.
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application users, such as field officers, questionnaire through online and offline distribution.
To analyze the relationship between variables, this study used SmartPLS 4 software, with analysis procedures including validity and reliability tests, as well as structural model testing such as path coefficients.
RA, fA, and QA values.
This research has obtained ethical approval from the Indonesian Education University.
All participants were given an explanation of the purpose of the study and asked to give informed consent prior to involvement, in accordance with the principles of research ethics.
The data collection process was conducted between November 2024 and January 2025 in the provinces of Central Java and East Java, using online methods .
hrough Google Forms or similar platform.
as well as offline methods .
aper-base.
inclusiveness of respondents who have limited digital access.
The questionnaire instrument in this study was developed based on operational indicators of each construct, which were adapted from relevant literature reviews.
The initial pilot test involved 10 users to assess the clarity of questions, appropriateness of context, and estimated filling time.
In addition, an expert validation process was conducted involving three experts from the fields of public health, information systems, and program evaluation.
Based on their feedback, improvements were made to enhance the content validity of the instrument.
In the proposed conceptual model, it is assumed that.
System Quality Training Effectiveness.
Application System Usage affect Leadership Support.
Leadership Support affects Net Benefits Leadership Support is able to System Quality.
Training Effectiveness Application System Usage on Net Benefits.
Findings from the data analysis were utilized to explore the contribution of training, successful Implementation of MBG systems through HR and strategic leadership.
The results are also compared with previous studies in the 2023-2025 timeframe to assess the consistency of findings.
The study draws conclusions that strengthen the main arguments, offers theoretical and practical implications, and makes recommendations for MBG program Some limitations recognized in this study include the limited sample size and the use of perception-based Kontigensi: Jurnal Ilmiah Manajemen Management Science Doctoral Program.
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Figure 2.
Methodologi Framework Population and Sample This This study involved all active includes six interrelated stages, starting of the MBG monitoring from planning to drawing conclusions.
application in Central Java and East Java The provinces, especially officers from the development of a research instrument Nutrition Fulfillment Service Unit in the form of a questionnaire that was (SPPG) who were officially registered as validated through pilot testing and program implementers.
Sampling used review by experts to ensure its a saturated census technique, where all reliability and validity.
Data were then members of the population were used as collected through online and offline This approach was chosen distribution of questionnaires to field to ensure representation of various user officers, school managers and regional roles, including field officers, school Data managers, and regional supervisors.
conducted using SmartPLS 4, including The number of respondents involved validity, reliability and structural model was 66 people (Abdillah & Jogiyanto, analysis with indicators such as path Given the limited number of coefficient.
RA, fA and QA.
The results of MBG users in the study area, the census the analysis are then discussed with method was deemed most appropriate reference to theory and previous to improve data accuracy and minimize studies, specifically highlighting the potential sampling bias.
role of HR training and strategic Variable Operationalization The variables in this study were implementation of MBG.
The research measured using indicators developed conclusions summarize the main based on previous literature, including the DeLone & McLean (D&M) model, contributions, and present practical the Technology Acceptance Model (TAM) and the Unified Theory of The study also acknowledges Acceptance and Use of Technology limitations, such as the limited number (UTAUT) (Venkatesh & Bala, 2.
, as of respondents and the use of well as the Kirkpatrick training perception-based data, as a form of evaluation model.
This framework was transparency and direction for future chosen to ensure that each variable has The methodological approach a strong theoretical basis and is relevant used, from research ethics to advanced to the context of information system statistical analysis, is designed to ensure (Widyantoro the robustness and validity of the Yuliatmojo & Arius Ayu Saputri, 2.
results, particularly in evaluating the success factors of the MBG program on its management.
Tabel 1.
Variables.
Definitions.
Dimensions, and Indicators Code Indicators Supporting References QS1 Ease of Use D&M.
TAM/UTAUT.
Case
QS2
Feature Compatibility Study QS3 System Flexibility (Caroline & Nurhasana, 2023.
QS4
Interface Design Ojo, 2017.
Purwanto, 2.
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EP1
EP2
EP3
EP4
DK1
DK2
DK3
DK4
PS1
PS2
PS3
KP1
KP2
KP3
Satisfaction and Relevance of Materials Increased Knowledge and Skills Change in Attitude and Motivation Post-Training Implementation Clarity of Vision and Data Utilization Facilities and Technical Support Engagement Leadership and Motivation Responsiveness.
Reward.
Problem
Solving Frequency, duration Depth of feature use MBG app features System Usage
User Satisfaction Sustainability Intention
MB1
MB2
MB3
Improving Monitoring Effectiveness Improve Reporting Quality User Work Efficiency and Impact This study uses the Structural Equation Modeling (SEM) approach with the help of specialized software, which allows simultaneous analysis of the measurement model and structural The analysis process begins with an evaluation of the measurement model through Confirmatory Factor Analysis (CFA) to assess construct validity and reliability.
Convergent validity was assessed using the Average Variance Extracted (AVE) value, with a minimum threshold of 0.
Meanwhile, construct reliability was measured using Cronbach's Alpha values and composite reliability .
hoCa and rho_.
, which must reach a value Ou 0.
70 to be considered consistent and reliable (Hair et al.
, 2.
This step ensures that the indicators in the questionnaire truly represent the construct being measured before moving on to the next stage.
After that, the analysis proceeds to the structural model to test the relationship between latent variables according to the hypothesis (H1-H.
Kirkpatrick.
Case Study (Kirkpatrick & Kirkpatrick.
Susanty, 2.
Management Theory.
Case Study (Bayu dkk.
, 2013.
Delvina Sari.
Quality System (Mendrofa & Hastuti, 2024.
Schleicher et al.
, 2.
D&M.
Studi Kasus (Ojo, 2017.
Widyantoro Yuliatmojo & Arius Ayu Saputri, 2.
D&M.
Studi Kasus (Khairrunnisa & Yunanto, 2017.
Ojo, 2.
The evaluation is done by analyzing the path coefficients, t-statistics, and significance p-values to assess the strength and validity of the causal relationships in the model.
The overall model fit is also considered to ensure that the proposed theoretical model fits the data obtained.
By combining CFA and SEM, this study applies a robust and comprehensive approach to test the validity of instruments and conceptual models, and provides a solid empirical basis for decision-making in MBG Descriptive Statistics Of the 66 respondents who participated, the majority were male, 1%, while female respondents totaled This shows that men dominate in the composition of respondents in this Based on the level of education.
Bachelor graduates (S.
, as many as 32 people or .
5%) of the total respondents.
Respondents with Diploma 3 (D.
education amounted to 17 people Kontigensi: Jurnal Ilmiah Manajemen Management Science Doctoral Program.
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8%), high school graduates 11 Indonesia.
The analysis process was people .
7%).
Masters (S.
five people conducted in two main stages: outer .
6%), and only one person has a model testing to evaluate reliability and Doctoral degree (S.
, which is 1.
This construct validity, and inner model distribution shows that the majority of testing to examine the relationship respondents have a higher education between variables in the structural background, especially at the Bachelor's RESULT and DICUSSION level, which is relevant to the research Analysis of the mean score, context and is considered to increase the standard deviation, and distribution of ability to understand the contents of the answers for each indicator and variable questionnaire and support the quality of shows that all indicators have an outer the data collected.
loading value above 0.
70 (Huit et al.
Analisis SEMPLS This research uses the Partial This finding indicates that all Least Squares Structural Equation indicators have met the convergent Modeling (PLS-SEM) analysis method validity criteria and are suitable for use with the help of SmartPLS software.
in the structural model analysis stage.
This method is used to test the causal There are no indicators that need to be relationship between latent variables in eliminated from the model.
Overall, the the developed model (Hair et al.
, 2.
results of this test confirm that the This indicators used in this study are valid appropriate for the purpose of and reliable in representing their exploration and theory development, respective latent constructs.
Thus, the especially in analyzing complex models such as the implementation of the MBG measurement quality and can be trusted (Makan Bergizi Grati.
monitoring for further analysis.
application in public primary schools in Table 2.
Outer Loading Values of research indocators Variable Indikator Outer Loading Validity System Quality QS1 Valid (X.
QS2
Valid
QS3
Valid
QS4
Valid Training Effectiveness EP1 Valid (X.
EP2
Valid
EP3
Valid
EP4
Valid
System Usage
PS1
Valid (Z.
PS2
Valid
PS3
Valid
Strategic Leadership
DK1
Valid
Support
DK2
Valid (X.
DK3
Valid
DK4
Valid
Net Benefits MB1
Valid
(Y)
MB2
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Composite Reliability (CR) consistent in measuring the same Each construct in the research In general, an acceptable CR model shows an excellent level of value is above 0.
70, but ideally it should reliability, with Composite Reliability be above 0.
80 and even close to or (CR) values exceeding the ideal limit of 90 to show a very high level of This value reflects strong internal Thus, these results confirm that the instruments used are reliable, of measuring latent constructs.
CR is used good quality, and support the overall to assess the extent to which indicators validity of the study within a construct are mutually Table 1.
Composite Reliability Variabel
Cronbach's Composite (AVE) Validitt
System Quality 0,894 0,897 0,759 Valid
Training Effectiveness 0,806 0,807 0,634 Valid
System Usage
0,866
0,881
0,788
Valid
Strategic Leadership
Support
0,896
0,898
0,708
Valid Net Benefits 0,752 0,752 0,801 Valid Inner Model Evaluation This relationship between several key components in the context of implementing the Monitoring Program Makan Bergizi Gratis (MBG) application, namely System Quality (QS).
Student Effectiveness (EP).
System Usage (PS).
Dukungan Kepemimpinan (DK), and Benefits (MB).
Using the SmartPLS lunak perangkat, analysis is conducted using the Partial Least Squares Structural Equation Modeling (PLS-SEM) methodology.
Every indicator used to gauge construction has an outside loading value above 0.
70, indicating that every indicator consistently measures the construction that is being lowered.
This indicates that every item in a valid questionnaire may be presented in a unified manner and can proceed to the structural analysis stage.
The R2 value Dukungan Kepemimpinan (DK) indicates that 81.
2% of the variation in DK can be explained by QS.
EP, and PS.
This contribution of the eksogen ketiga variable to the development of the Conversely.
R2 for the Manfaat Bersih (MB) construct is approximately 0.
indicating that DK influences 62.
2% of the variation in manfaat bersih.
This includes the tinggi category and indicates that DK is crucial to the success of the MBG program.
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Figure 2.
Bootstrapping results with t-statistics Relationship Between Variables (QS and PS) and capacity development (Path Coefficient.
QS Ie DK ( = (EP), with the end result being a benefit .
: The system's quality has a Because of this, focusing on positive impact on the perception of the user training and work-related activities leadership, even though its contribution that encourage system use in an active is rather little when compared to other manner can enhance perceptions of EP Ie DK ( = 0.
: Effective leadership and have a positive impact training provides useful information on program results.
Discriminant Validity about the leadership environment.
PS Ie Based on the results of the DK ( = 0.
: System utilization has validity check using the Fornell-Larcker the largest impact on DK, indicating criterion, each construct has a OoAVE that the system's user sensitivity is silent value that is higher than the average of with respect to perceptions of the other constructs.
This indicates that DK Ie MB ( = 0.
: This every latent variable in the model, relationship is very strong, indicating namely System Quality (QS).
Training that the leadership support has a key Effectiveness (EP).
System Use (PS), role in determining the success of the Leadership Support (DK), and Net MBG program in providing tangible Benefits (MB), characteristics that are not very This highlights the importance of This supports the findings of multidimensionality in implementing Henseler et al.
, who emphasize public information systems like MBG.
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models in information systems and evaluation programs information system's success.
However.
According to the structural this study makes a new contribution by model.
System Usage (PS).
Training integrating the variables of strategic Effectiveness (EP), and System Quality leadership and the effectiveness of HR (QS) have a positive impact on the training into the DeLone & McLean Leadership Support (DK).
Among them.
This model indicates that PS indicates the largest effect on DK ( the success of the MBG program is not = 0.
, indicating that the system's solely due to technical factors, but also high intensity and quality can increase depends heavily on human and the perception of the environment and organizational factors.
the involvement of leaders.
This is also in line with Furthermore.
DK significantly (Harisandi.
Yahya, & Istiqomah, 2.
It reduces Net Benefit (MB) ( = 0.
highlights how important it is for which lowers program execution students to develop strategic thinking efficiency, reporting accuracy, and skills and user responsibilities when This supports earlier implementing a digital public system.
research by Robertson and Barling This study provides empirical evidence .
, who noted that the success of that may be used in the evaluation of system implementation in public policies and strategies for increasing the organizations is directly impacted by implementation of the MBG program, long-term, thanks to its strong model validity and This is in line with research by The emphasis on HR training DeLone and McLean .
, which and leadership that guides system use highlights system quality, system serves as a guide to maximize program usage, and user adherence as the benefits in every way.
Table 2 .
Discriminant Validity Path Coefisient Test The analysis of the route coefficient highlights the contribution of each variable in influencing the success of the implementation of the Free Nutritional Food (MBG) program, particularly in achieving the Net Benefit (MB) goal.
All three of the exogenous construction teamsAiSystem Quality (QS).
Training Effectiveness (EP), and System Use (PS)Aihave a positive impact on the Leadership Support (DK):
= 0.
295 for QS, 0.
310 for EP, and 0.
for PS and DK, respectively.
According to these three pathways, the most important predictor of DK is the System Usage (PS).
This indicates that the more intense and effective MBG application is used by the employees, the more perceptive they are of the existence of support and involvement from the Kontigensi: Jurnal Ilmiah Manajemen Management Science Doctoral Program.
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This summarizes previous high-quality model that explains how findings that indicate that the construct the success of the MBG programAiin validity of the model is very strong and terms of execution efficiency, reporting accuracy, and accountability growthAi .
iscriminant validit.
, and that the affects the quality of education at system's use is a crucial step in various levels, whether in a single developing proactive perceptions of school, a region, or a whole.
The results align with previous Significant contributions are also research by (Henderson & Robertson, made by Training Effectiveness (EP) 2.
which states that strategic and Quality System (QS) in enhancing leadership is a key component in the Leadership environment.
For determining the success of the public example, high-quality training and an sector's information system.
In addition, easily navigable system that is flexible this supports the (DeLone & McLean, and compatible with the needs of the 2.
model by highlighting the user in enhancing their confidence in importance of peer support and the program's success.
Leadership effectiveness as critical factors in Support (DK) has a very strong effect on determining the long-term benefits of Net Benefits (MB), with a coefficient of socially based information systems like determination of = 0.
This is a MBG.
Table 3.
Path Coefficients Path
Path coefficients DK -> MB
0,789
EP -> DK
0,310
PS -> DK
0,393
QS -> DK
0,295
R-Square and F-Square Test The coefficient of determination (R Squar.
is used to determine the extent to which the independent variables are able to explain the dependent variables in the structural In this study, two endogenous latent constructs tested were Leadership Support (DK) and Net Benefits (MB).
The RA value of 0.
812 indicates that 2% of the variation in Leadership Support can be explained by three main variables, namely System Quality (QS).
Training Effectiveness (EP), and System Use (PS).
Based on (Whang et al.
, 2.
interpretation, this value is included in the "substantial" or very strong This means that this model is able to effectively explain the factors that shape perceptions of leadership support in the implementation of the MBG Program.
The adjusted RA value of 799, which is not much different, also indicates the stability and consistency of the model.
A R2 value of 0.
622 indicates that the Leadership Support (DK) can 2% of the variation in Net Benefits.
This falls into the "moderate" category, which means that the environment of leadership has a significant and significant impact on the success of program implementation, particularly in the areas of increasing implementation effectiveness, reporting Additionally, the adjusted R2 of 0.
indicates that the model in question is Kontigensi: Jurnal Ilmiah Manajemen Management Science Doctoral Program.
Pasundan University.
Bandung.
Indonesia https://creativecommons.
org/licenses/by-nc/4.
Kontigensi: Jurnal Ilmu Manajemen Vol 13.
No.
June 2025, pp.
ISSN 2088-4877
quite stable in explaining the ultimately leads to the completion of the phenomenon under investigation.
program in an optimal manner.
The results indicate that the According to, this study provides relationship between technical aspects (QS and PS) and human factors (EP) as multidimensional approaches that well as the effectiveness of the MBG incorporate technology, education, and program is a significant mediating leadership are essential in ensuring the As system quality, training, success of information-based programs and application usage increases, so does in the public sector.
perception of leadership, which Table 4.
R Square Test Variablw R-square R-square adjusted Based on data analysis using PLS-SEM, the F Square Test can be used to indicate that the conceptual model used in this study successfully relationship between the variables that affect the implementation of the Free Nutritional Food (MBG) program.
According to the construction model.
Leadership Support (DK) is a key variable that assesses the influence of System Quality (QS).
System Effectiveness (EP), and System Usability (PS) on the achievement of Net Benefits (MB).
The high R2 value at DK .
indicates that the three variables mentioned have a very significant perceptions of leadership.
Conversely.
MB's R2 value of 0.
622 indicates that program success is significantly environment that is created by the work being done in the lab.
The path coefficient strengthens the findings here showing that PS has a significant effect on DK ( = 0.
indicating that active involvement in system use quietly causes a positive perception to emerge about leadership.
In other words, the most significant parameter in the model is DK Ie MB ( = 0.
, which indicates that strategic leadership is crucial in determining program success.
Further, the f2 analysis shows that the DK-MB relationship is quite strong .
2 = 1.
, while the QS-EP-PS relationship with DK is found in the small to medium range.
This strengthens DK's position as a critical mediator in the model.
In summary, the results of this study provide empirical evidence that the cooperation of technology (QS.
PS), human capital (EP), and strategic leadership (DK) is essential to increase the benefits of public information systems like MBG.
This study also supports the DeLone and McLean theoretical model by highlighting the importance of training and leadership, as well as offering practical advice to program managers on how to improve the quality of management and nutrition of national programs.
DISCUSSION