Robusta coffee is a very strategic commodity in Kepahiang district, bengkulu province. This paper aims to (i) describe the overview, coffee quality and flavor, the financial feasibility of Kepahiang coffee farming, (ii) formulate technological innovations in increasing productivity, and (iii) formulate efforts to increase competitiveness. The paper was synthesized from literatures related robusta coffee, and it was conducted in 2019. All data were gathered from secondary data using documentation methods and the data from relevant literature were analyzed descriptively. Based on the synthesis, the productivity of Kepahiang robusta coffee is only around 774 kg/ha or still below its production potential. Kepahiang coffee was characterized as small beans with grade 5 and 6 while the total of flavor total was 80.50 - 85.50. Efforts to increase Kepahiang coffee productivity can be done through technological innovations such as the use of high yielding planting material, pest and disease control, pruning technology as well as postharvest and processing improvement. Increasing competitiveness can be done by developing partnerships that are designed through 4 (four) stages, namely phase 0, phase 1, phase 2 and phase 3. Technological innovation and partnership relationships are expected to increase productivity and competitiveness of Kepahiang robusta coffee.

The soybean production in Indonesia still faces several challenges causing production depended on import supplies. This paper aims to assess the competitiveness advantages of soybean production. Policy Analysis Matrix (PAM) was used to examine its competitiveness using secondary data and deliberating results of previous studies. The results of the study in 2015 showed that domestic production still could afford private and social prices. Soybean nearly did not show competitiveness advantages reflected from the ratio of DRC and PCR that were almost one. The government interventions brought various impacts, for instance farmers paid cheaper inputs by 26.67% and there was inefficiency of government policy towards the output. The government policy to assure profit in the long term was also insufficient reflected from the EPC (1.03) and PC (0.06). From the SRP variable, it described that the government not all farmers received a benefit from the government policy. The sensitivity analysis resulted: (i) the combination of increasing soybean price + procurement price at 8,000 IDR/kg and (ii) the increasing import tariff by 5% + procurement price at 8,000 IDR/kg provided the most favorable impacts.