Quantitative Structure-Activity Relationship (QSAR) study was performed on 10 isatin derivatives which were reportedly used as corrosion inhibitors. Dragon software was used to calculate the molecular descriptors. Partial least square (PLS) method was used to run the regression analysis between the descriptors and the corrosion inhibition efficiencies (IE) of the inhibitors. A predictive QSAR model was developed with a correlation coefficient (r 2 cal ) of 0.9676. The model validity was assessed through internal and external validation. The results show that cross-validation regression coefficient (r 2 cv ) and prediction regression coefficient (r 2 pred ) are 0.8163 and 0.9189, respectively. The model was used to predict the IE for ten isatin derivatives. The results confirm a good stability and predictive ability of the model. Dragon-based descriptors provide a very good description of the corrosion inhibition properties of the inhibitors. The results of the QSAR study were found to be consistent with the experimental data.Keywords: QSAR modeling study, corrosion inhibition, isatin derivatives, partial least square Abstrak Kajian hubungan aktiviti-struktur kuantitatif (QSAR) dilaksanakan ke atas 10 terbitan isatin yang dilaporkan diguna sebagai perencat kakisan. Perisian Dragon digunakan untuk mengira pemerihal molekul. Kaedah kuasa dua terkecil separa (PLS) digunakan untuk melaksanakan analisis regresi antara pemerihal dan keberkesanan perencatan kakisan (IE) terhadap perencat kakisan. Ramalan model QSAR dibangunkan dengan pekali kolerasi (r 2 cal ) bernilai 0.9676. Kesahan model dinilai melalui pengesahan dalaman dan luaran. Keputusan menunjukkan bahawa pekali regresi kesahan-silang (r 2 cv ) dan pekali regresi ramalan (r 2 pred ) adalah masing-masingnya 0.8163 dan 9189. Model tersebut digunakan untuk meramal IE bagi 10 terbitan isatin. Keputusan mengesahkan kestabilan dan kemampuan ramalan yang baik terhadap model. Pemerihal berasaskan Dragon memberi penerangan yang baik tentang sifat perencatan kakisan bagi perencat-perencat kakisan. Keputusan kajian QSAR ini adalah konsisten dengan data eksperimen.Kata kunci: kajian pemodelan QSAR, perencatan kakisan, terbitan isatin, kuasa dua terkecil separa