## 3 Results and Discussion  
To implement the scheme in Indonesia, the first step is to find out the GMO and non-GMO food products produced in Indonesia. Based on the report from the USDA Foreign Agricultural Service [11], GMO products in Indonesia can be known as shown in Table 1. A lot of GMO rice is developed in Indonesia, thus this research was carried out by analyzing the performance measurement of rice. Indonesia is the world's third largest rice producer after China and India. According to data from the Central Bureau of Statistics [20], Indonesia's rice production was 75.3 million tons in 2015. The rice production comes from 14.11 million hectares of harvested land with productivity of 53.41 quantal of rice/hectare. On the other hand, the population of Indonesia is the largest consumer of rice in the world with a consumption rate of 114 kg/capita/year. The high production and consumption of rice in Indonesia shows that rice commodities not only concern the interests of producers, but also the needs of consumers. A scarcity of rice will lead to a food crisis. A rice crisis would trigger a crisis chain, triggering other crises such as a nutritional crisis, a health crisis, an economic crisis, a social crisis, and a political crisis. This study utilized two treatment schemes to meet the needs of rice in Indonesia: Consuming GMO and consuming non-GMO rice seeds. The rice supply chain in Indonesia consists of several subsystems, including supply, production, and consumption. Each subsystem consists of more specific elements. Indonesia's rice supply chain system is cross-sectoral because it includes various related institutions, such as rice consumption subsystems related to population and income issues, while supply subsystems are related to land and agricultural cultivation issues. To analyze the supply chain, the rice supply system was divided into three subsystems, namely supplier subsystem (agricultural as stage 1), producer subsystem (processing as stage 2), and distribution subsystem to wholesalers/retailers (as stage 3). In each subsystem there \begin{table}
\begin{tabular}{c c c} \hline
**Crops** & **Trait** & **Developer** \\ \hline Rice & Nitrogen use efficiency & ICABIOGRAD, Bogor \\ Rice & Drought tolerant & ICABIOGRAD, Bogor \\ Rice & Productivity & ICABIOGRAD, Bogor \\ Rice & Salt tolerant & ICABIOGRAD, Bogor \\ Rice & Brown planthopper resistant & Padajadaran University, Bandung \\ Sugarcane & High glucose content & PTPN-XI/Jember University, Jenber \\ Tomato & Viruses resistance & ICABIOGRAD/RIV, Bogor \\ Tomato & Low seed content & ICABIOGRAD, Bogor \\ Cassava & Low amylose content & ICABIOGRAD/IIS, Bogor \\ Papaya & Delayed ripening & ICABIOGRAD, Bogor \\ Potato & Resistance to Phytophthora & ICABIOGRAD, Bogor \\  & infestans & Padajadaran University, Bandung \\ Tomato & Miraculin & Padajadaran University, Bandung \\ Rice variety Rojolele & Yellow stem borer resistant & The Indonesian Institute of Science, Jakarta \\ Rice & Drought tolerance & The Indonesian Institute of Science, Jakarta \\ Sugarcane & Availability of P & Bogor Agricultural University, Bogor \\ Rice & Aluminum tolerant & Bogor Agricultural University, Bogor \\ Sugarcane & Drought tolerance & Indonesian Research Institute for \\  & Biotechnology and Bioindustry, Bogor \\ \hline \end{tabular} Source: USDA Foreign Agricultural Service [11].  
\end{table} 
Table 1: GMO crops in Indonesia. \begin{table}
\begin{tabular}{c c c c c} \hline \hline
**System** & \(\mathbf{p^{\prime}y}\) & \(\mathbf{w^{\prime}x}\) & \(\mathbf{r^{\prime}b}\) & **Adjusted Profit (AP)** \\ \hline GMO & 534.36 & 168.99 & 32.77 & 332.60 \\ Non-GMO & 571.77 & 144.15 & 33.96 & 393.66 \\ \hline \hline \end{tabular}
\end{table} 
Table 6: Differences in the adjusted profit for GMO and non-GMO systems.