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This study was conducted to forecast the monthly number of tuna landings between 2023 and 2030 and determine whether the estimated number meets the government’s target.

The ARIMA and seasonal ARIMA (SARIMA) models were employed for time series forecasting of tuna landings from the Malaysian Department of Fisheries. The best ARIMA (p, d, q) and SARIMA(p, d, q) (P, D, Q)¹² model for forecasting were determined based on model identification, estimation and diagnostics.

SARIMA(1, 0, 1) (1, 1, 0)¹² was found to be the best model for forecasting tuna landings in Malaysia. The result showed that the fluctuation of monthly tuna landings between 2023 and 2030, however, did not achieve the target.

This study provides preliminary ideas and insight into whether the government’s target for fish landing stocks can be met. Impactful results may guide the government in the future as it plans to improve the insufficient supply of tuna.

The outcome of this study could raise awareness among the government and industry about how to improve efficient strategies. It is to ensure the future tuna landing meets the targets, including increasing private investment, improving human capital in catch and processing, and strengthening the system and technology development in the tuna industry.

This paper is important to predict the trend of monthly tuna landing stock in the next eight years, from 2023 to 2030, and whether it can achieve the government’s target of 150,000 metric tonnes.

This study aims to propose a new model of Islamic cooperative mortgage of housing finance (ICOM) to provide a lower monthly initial amount with a longer tenure for the low- and middle-income members. This model is developed to ease the burden on borrowers concerning the high initial down payment (ID).

The ICOM model is a no-interest mortgage and is developed based on the cooperative home mortgage model by Ebrahim (2009). The model is verified using numerical examples to ensure its feasibility to produce lower monthly initial amounts and compared to the cooperative home mortgage.

From the numerical example, the ICOM model shows a lower monthly initial amount with a longer tenure compared to the cooperative home mortgage. The monthly payment is also lower than the cooperative home mortgage.

The authors compare their model with Ebrahim’s (2009) cooperative home mortgage because of a constraint of limited previous studies on housing finance. Therefore, this model is developed by considering the unaffordability of the initial down payment among low-income borrowers. As this model introduces a lower monthly initial amount, the authors expect it can reduce the unaffordability problem of high initial down payment.

The authors also expect that a lower monthly initial amount with a longer tenure can ease the burden among the low-income borrowers by reducing their consumption on housing.

This paper provides a non-interest Islamic cooperative mortgage and lower monthly initial amount with a longer tenure for the low- and middle-income borrowers.