The main issue of coffee commodity in Indonesia besides productivity is quality consistency. Defective coffee has a low quality level as well as low selling value and potentially detrimental for the coffee industry. However, despite its potential impact on coffee consumption behavior, the study on coffee quality based on Indonesian consumer perspectives is still limitedly published. This study aimed to investigate Indonesian coffee consumer perception on coffee quality and the effect on consumption behavior. The study was conducted using an online survey to coffee communities involving coffee consumers, and more experienced coffee consumers such as farmers, barista, Q-graders and coffee-based entrepreneurs in Indonesia. The data was analyzed for descriptive analysis, Cochran Q test and post hoc analysis using XLSTAT software and further visualized using Displayr online software. The result indicated that even though there were some similarity or agreement, the coffee consumers and more experienced consumers might perceive coffee quality differently. Those perceptions on quality might drive their different behavior on coffee consumption in Indonesia.

Cabe jamu is categorized as the primary material for the jamu industry because it contains an active compound that provides a health benefit. Furthermore, some area in east java is known as the central production of cabe jamu. Almost 80% of the plant area is located at Madura Island, covering Bangkalan, Sampang, Pamekasan, and Sumenep. Agricultural products have different characteristics when planted at different locations because of climate, soil, and environmental condition. However, counterfeit practice deteriorates the specialty of products for economic purposes. Several techniques were developed detection system of products based on geographical origin or authenticity. This paper aims to explore potential technology that is able to evaluate the authentication of products and potentially applied to cabe jamu. Overall, several strategies were obtained from this literature study to provide the high-accuracy classification of cabe jamu related to geographical origin: Coupling NIR spectroscopy with chemometrics, utilization of multiple techniques like other vibrational spectroscopy or non-vibrational spectroscopy, and use of data fusion approach to elevate the accuracy of the classification model.