Pengaruh Perencanaan Operasional, Pengendalian Proses, dan Efisiensi Alur Kerja Terhadap Kinerja Operasional Sekolah pada SMK Negeri 15 Kota Bekasi

M.Jaeni; Abdullah Muksin; Endri Sentosa; Endri Sentosa; Mahmud

M.Jaeni Program Studi Manajemen, Fakultas Ekonomi dan Bisnis, Universitas Persada Indonesia Y.A.I, Jakarta
Abdullah Muksin Program Studi Manajemen, Fakultas Ekonomi dan Bisnis, Universitas Persada Indonesia Y.A.I, Jakarta
Endri Sentosa Program Studi Manajemen, Fakultas Ekonomi dan Bisnis, Universitas Persada Indonesia Y.A.I, Jakarta
Endri Sentosa Program Studi Manajemen, Fakultas Ekonomi dan Bisnis, Universitas Persada Indonesia Y.A.I, Jakarta
Mahmud Program Studi Manajemen, Fakultas Ekonomi dan Bisnis, Universitas Persada Indonesia Y.A.I, Jakarta

Abstract

School operational performance is an important indicator of the success of educational
institution management. This research purposes to analyze the impact of operational planning,
process control, and workflow efficiency on school operational performance at State Vocational
High School 15 in Bekasi City. This study uses a survey method and a quantitative causalassociative
approach. 50 respondents were chosen using proportionate stratified random
sampling from the population of 65 teachers and education personnel. Structural Equation
Modeling based on Partial Least Squares (SEM-PLS) with SmartPLS version 4.1 was used to
evaluate the data. The findings show that all indicators are valid and reliable (outer loading >
0.70, AVE > 0.50, composite reliability > 0.70), the model is free from multicollinearity (VIF < 5),
and has an adjusted R-square of 0.844. Bootstrapping results prove that operational planning
(coefficient 0.479; T = 2.952; p = 0.038), process control (coefficient 0.407; T = 2.291; p = 0.042),
and workflow efficiency (coefficient 0.514; T = 4.895; p = 0.000) each have a significant positive
impact on school operational performance, so all three hypotheses are accepted. Workflow
efficiency is proven to be the most dominant variable (f² = 0.594, strong category). The Goodness
of Fit value of 0.6905 indicates a high model fit.

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