Indonesian Coffee Research Articles

AKTIVITAS RE-EKSPOR OLEH IMPORTIR KOPI DUNIA DAN IMPLIKASINYA BAGI INDONESIA (World Coffee Re-Export Activities and the Implications for Indonesia)

Coffee is the most traded plantation commodity in the world. The data shows that currently there are more countries trading coffee than those producing it. In other words, many countries import coffee and then re-export it, such as France, Germany and the United States. This study aims to answer questions (1) How does the map of Indonesian coffee export destinations compare to the importing countries that carry out re-exports? (2) How is the quantity (volume) and value of Indonesian coffee exports compared to the importing countries that carry out re-exports? To answer these questions, this research utilizes secondary data for the last five years (2017-2021) from FAO (FAOSTAT). The data were processed quantitatively using the Microsoft Excel version 2021. The results showed that France, Germany and America have more export destinations than Indonesia. The re-exporting countries also seem to have started to outperform Indonesia in the coffee trade, both in quantity and value. Therefore, it is important for national coffee stakeholders to think about the sustainability of Indonesian coffee production and trade by creating various innovations that increase added value and seek new market opportunities.

Forecasting the Indonesian Coffee Production and Consumption Using the Modified Golden Section Search to Estimate the Smoothing Parameters

The Double Exponential Smoothing (DES) and Triple Exponential Smoothing (TES) are forecasting methods that require two and three smoothing parameters, respectively. Smoothing parameters are often determined through a trial and error process that is not really efficient since many experiments need to be done. Therefore, in this study, a smoothing parameter estimation algorithm is conducted in the form of the modified Golden Section Search (GSS) to obtain the optimal smoothing parameters from the DES and TES methods. Forecasting is carried out on production, domestic consumption, and export consumption data of Indonesian coffee, which is one of the leading agricultural sub-sector commodities. The data is obtained from the Ministry of Agriculture of the Republic of Indonesia. The smoothing parameters obtained by applying the modified GSS are used to forecast production and domestic consumption data using the DES method, while the forecasting of the export consumption data is done with the TES method. All of the MAPE values are less than 20% which indicates that the smoothing parameters obtained by using the modified GSS are able to perform good forecasting. The results show that coffee production in Indonesia cannot meet its demand until 2024 since the total coffee consumption exceeds the production.

Forecasting the Indonesian Coffee Production and Consumption Using the Modified Golden Section Search to Estimate the Smoothing Parameters

The Double Exponential Smoothing (DES) and Triple Exponential Smoothing (TES) are forecasting methods that require two and three smoothing parameters, respectively. Smoothing parameters are often determined through a trial and error process that is not really efficient since many experiments need to be done. Therefore, in this study, a smoothing parameter estimation algorithm is conducted in the form of the modified Golden Section Search (GSS) to obtain the optimal smoothing parameters from the DES and TES methods. Forecasting is carried out on production, domestic consumption, and export consumption data of Indonesian coffee, which is one of the leading agricultural sub-sector commodities. The data is obtained from the Ministry of Agriculture of the Republic of Indonesia. The smoothing parameters obtained by applying the modified GSS are used to forecast production and domestic consumption data using the DES method, while the forecasting of the export consumption data is done with the TES method. All of the MAPE values are less than 20% which indicates that the smoothing parameters obtained by using the modified GSS are able to perform good forecasting. The results show that coffee production in Indonesia cannot meet its demand until 2024 since the total coffee consumption exceeds the production.

KINERJA BAURAN PEMASARAN PENALAMA COFFEE & TALK DI KOTA BOGOR BERDASARKAN PERSEPSI KONSUMEN

The increasing consumption of coffee in Indonesia is supported by the many coffee drink businesses, one of which is Penalama Coffee & Talk. Penalama Coffee & Talk experienced several problems, such as high competition for coffee products, competitive prices, located in remote places, promotions, late employees, SOP that are run inappropriately, and need improvements to supporting facilities. Therby requires evaluating marketing strategies to increase sales and satisfaction for consumers. Therefore, this study was conducted to analyze the performance of the marketing mix at Penalama Coffee & Talk. This research was conducted using descriptive analysis methods, Customer Satisfaction Index (CSI), and Importance Performance Analysis (IPA). The results showed that consumer characteristics were dominated by consumers aged 17-25 years, men, domiciled in Bogor City, unmarried, working as private employees with income per month reaching >Rp5,000,000, the last education taken, namely academic education (S1/S2/S3), and the frequency of consumer visits 1-4 times / month. Based on CSI analysis obtained satisfaction results of 88.64 and IPA analysis obtained that location attributes became a top priority in performance improvement.

How Well is the Coffee Business Supply Chain Performing in West Java?

Abstract Coffee grown in Indonesia has been proven for its quality made Indonesian coffee consumption continues to increase from year to year in many countries. However, the coffee business has not reached its maximum potential due to numerous barriers and supply chain management is one of them. This research aimed to identify the potential cause for blocked chains as one of the business threats that will significantly impact the entire business process in the long term also identifies the success factors related to the coffee supply chain to improve the performance of the business processes. This research utilized an inductive study with quantitative and qualitative approaches using primary and secondary data collection strategies. The research result indicated the low weight for dimensions in “Deliver” and “Return” performance with indicators including “Shipping”, “Good relation with customers”, “Mutual relation with suppliers”, “Return procedure”, “Processing time”, “Ease of process”, and “Complaints that quickly resolved”. Therefore, to the result, the factors that are considered as a direct risk to the blocked chains are “Shipping”, “Processing time”, and “Ease of process”. While the score for supply chain performance in West Java Coffee is 71% for KPIs in Reliability and Responsiveness. This research also provides a coffee supply chain model that will positively contribute to knowledge especially for identifying potentially blocked chains in the coffee business.

ANALYSIS OF INDONESIAN COFFEE EXPORT DEMAND IN THE UNITED STATES USING THE AIDS MODEL

Indonesia is the fourth largest coffee producing country in the world after Brazil, Vietnam and Colombia. Of the total production, around 67% of the coffee is exported while the rest (33%) is used to meet domestic demand. The level of domestic coffee consumption based on the results of the 1989 LPEM UI survey was 500 grams/capita/year. Coffee entrepreneurs estimate that coffee consumption in Indonesia has reached 800 grams/capita/year. Likewise, within 20 years the increase in coffee consumption has reached 300 grams/capita/year. (AEKI 2022). competition research on Indonesian coffee in the United States market by using the Almost Ideal Demand System (AIDS) method. The use of the AIDS model is used to analyze the position and level of competition between coffee exporting countries (Indonesia, Vietnam, and Brazil and Colombia) from each export destination country, namely the United States. the estimation results on the AIDS model of Indonesian coffee in the United States market get an R-Square value of 0.4136 percent. Vietnam in the United States market obtained an R-Square value of -0.216 . Brazil in the United States market obtained an R-Square value of 0.44%. Columbia in the United States market obtained an R-Square value of 0.4488%. Coffee from Indonesia competes with coffee from Vietnam, Brazil and Columbia. The cross-price elasticity obtained between the price elasticity of Indonesia-Vietnam coffee is positive at 0.9443, and the price elasticity value of Indonesia-Brazil coffee is 0.0330, the price elasticity value for Indonesia-Columbia coffee is 0.5854. The expenditure elasticity values obtained by Indonesian coffee were 0.4479, Vietnam coffee were 1.7403, the expenditure elasticity values for Brazil and Columbia coffee were 1.0155 and 0.9042. in the United States Market.

DIFFERENCES OF SHORT-TERM CONSUMPTION OF SEMENDO ROBUSTA AND ARABICA COFFEE TOWARDS SWEET TASTE SENSITIVITY

The most consumed and cultivated coffee in Indonesia is robusta and arabica coffee. Robusta and arabica coffee have different characteristics such as morphology, contents, and taste. Coffee consumption could cause alteration in taste sensitivity, especially sweet taste. Those could affect daily sugar consumption. The present study aimed to determine the differences of short-term consumption of semendo robusta and arabica coffee towards sweet taste sensitivity. This study used experimental study with a cross-over design approach that involved 21 students from the Faculty of Medicine Sriwijaya University. Semendo robusta and arabica coffee are used in this study. Sweet taste sensitivity was tested using the whole mouth test method by rinsed with sucrose solution at a concentration of 0,16, 0,32, 0,64, and 1,28 mol/l, which was given from the lowest concentration. Sweet taste sensitivity scores were rated at baseline and after the consumption of semendo robusta and arabica coffee which took place on different days. The lowest sucrose concentration that was correctly interpreted by the subject was noted as a taste sensitivity score. Data were analyzed using the Chi-square test. The chi-square test showed that the decrease in sweet taste sensitivity was more frequently happening after semendo arabica coffee consumption than semendo robusta coffee consumption (p<0,05). Short-term consumption of semendo arabica coffee has significantly increased the risk of sweet taste sensitivity reduction 4 times greater than semendo robusta coffee. There were differences in sweet taste sensitivity between short-term consumption of semendo robusta and arabica coffee.

Cocoa volatile compounds affect aroma but not taste

Flavor is one of the most essential indicators for determining the quality of cocoa beans, especially fine flavor cocoa. The volatile compound in the beans affect the mechanism the flavor emergence. Therefore, this study aimed to identify the volatile compound in the aromatic and non-aromatic cocoa groups as one of FFCs indicator. It was conducted at the Indonesian Coffee and Cocoa Research Institute, Jember, East Java, Indonesia. Furthermore, the genetic material used consisted of six aromatic cocoa genotypes, such as DR 2, ICCRI 03, ICCRI 07, ICCRI 09, MCC 02, and TSH 858 as well as four non-aromatic genotypes such as Sulawesi1, Sulawesi 2, KW 516, and KEE 2. A completely randomized block design (RCBD) was used with three repetitions. The fermented bean samples of each genotype were analyzed of volatile compound at the Food and Science Laboratory, Jember Polytechnic, East Java and sensory test was conducted by three certified panelists from ICCRI. Data were analyzed by orthogonal contrast analysis with IRRI's STAR 2.0.1 software. While the Microsoft Excel 2019 and R Studio were used for correlation analysis and heatmaps. The results showed aldehydes, acids, esters, pyrroles, and pyrazines of aromatic cocoa bean group higher than the non-aromatic. The alanine and terpenoid compounds was only found in clones DR 2 and ICCRI 03, while the alcohol and phenol compounds dominated in the non-aromatic group. Genotypes were grouped into six groups, based on flavor and volatile compound. ICCRI 09 characterized by strong acidity with a fresh fruit, spicy and sweet aroma as well as containsed aldehydes. Furthermore, ICCRI 03, MCC 02, and TSH 858 bean had weaker acidity and aroma than ICCRI 09 and contain terpenoids. ICCRI 07 had a nutty and woody aroma and was dominated by furan and pyrazine compounds. While Sulawesi 1 had a putrid aroma and alkaloids. The genotype groups of KW 516, KEE2, and Sulawesi 2 had astringent taste, dirty/dusty and moldy aroma as well as contained alcohol and phenol. Keywords: Aromatic; Flavor; Non-aromatic; Theobroma cacao L; Volatile compounds

Predicting Indonesian coffee origins using untargeted SPME − GCMS - based volatile compounds fingerprinting and machine learning approaches

Predicting Indonesian coffee origins using untargeted SPME − GCMS - based volatile compounds fingerprinting and machine learning approaches

Analisis Pengaruh Produksi Kopi, Luas Lahan dan Kurs Rupiah Terhadap Volume Ekspor Kopi Indonesia Periode Tahun 2010 – 2020

The volume of coffee exported from Indonesia between 2010 and 2020 will be reviewed in this study along with the influence of the variables coffee production, land area and exchange rate. In this study the influence of independent factors on dependent factors was assessed using multiple linear regression analysis techniques. The results of the multiple linear regression analysis of this study revealed that Indonesia's coffee exports were negatively affected but not significantly by variables related to coffee production. Indonesian coffee exports were negatively and insignificantly affected by changes in land area. Conversely, the exchange rate (exchange rate) has a positive but also insignificant impact on the volume of coffee exported from Indonesia.

Phenotypic and genetic performance of Arabica coffee seedling due to effect of genotype and urea

Growth and production of arabica coffee are affected by seedling quality which is depends on genotype and seedling maintenance such as fertilizer Urea. Th objective of this research was to examine the effect of arabica coffee genotype and fertilizer Urea on the phenotypic and genetic performance of seedlings. The experiment was done at the greenhouse of Agriculture Faculty of Nommensen HKBP University in Medan. Seven Arabica coffee genotypes of from seven coffee garden in Subdistrict Dolok Sanggul and four level of fertilizer Urea were used. Plant height, stem diameter, leaf number, leaf area, and its ratio were observed. The result revealed that significant interaction of ratio of leaf number and stem diameter proves that the certain dosage of Urea and certain genotype and will give the higest performance. Heritabilites coefficient, advance of genetic, and genotypic coefficient of variations were low. Phenotypic coefficient of variations of were low, moderate and high. Phenotypes and phenotypic ratios correlated highly significant.

Farmers coping strategies to climate change in sustainable Arabica coffee production

Geographical Indications of Gayo Arabica coffee is currently faced with various challenges, including climate change, causing stagnation and, eventually, a decline in productivity. This research aims to determine the strategies adopted by farmers in dealing with climate change, to increase and maintain Gayo coffee productivity. The research was conducted in the Gayo Highlands, particularly in Aceh Tengah, Bener Meriah, and Gayo Lues districts, in three stages, including; (1) a study of the Gayo coffee GI area, (2) climate change study, and (3) a study of farmers’ strategies for dealing with climate change, using field observation surveys and interviews with farmers. The results reveal that the GI of Gayo arabica coffee has been mapped since its designation in 2010. Additionally, both rainfall and temperature have changed since the 1980s, and climate change (particularly temperature) has resulted in habitat shifting for the cultivation of arabica coffee clones, coffee berry borer infestations, and a decrease in coffee productivity. Farmers in the Gayo Arabica coffee GI area address climate change by implementing a strategy to create a microclimate through adaptation and mitigation. These include efforts to adapt coffee clones to their growing habitat, creating a microclimate by planting coffee and denser shade, covering the soil surface to minimize evaporation, and reducing the concentration of carbon dioxide gas and greenhouse gas emissions in the air by using locally sourced organic matter as fertilizer.

Germination and Early Seedling Growth of Three Arabica Coffee Varieties at Four Seed Soaking Water Temperatures

It takes three weeks to analyze the germination percentage of Arabica coffee seeds germinated using paper and a three-day water-soaking method. This 3- week period is considered too long for seed distribution to remote areas. Thus, we need to modify this germination test needs to be modified to have a shorter test time. Temperature treatment is one method to break the seed dormancy period for faster germination. This study aimed to obtain a faster and more precise method of germination test on Arabica coffee seeds. This study employed a 3 x 4 factorial complete randomized block design with three replications in which Arabica coffee varieties of Gayo-1, Kartika-1, and Sigararutang as the first factor and the temperature of the soaking water of the seeds (25 0C, 50 0C, 75 0C, and 90 0C) as the second factor. The research was conducted at the Plant Breeding Laboratory, Indonesian Coffee and Cocoa Research Institute (ICCRI), for four months. Findings showed that the interaction between treatments was only found in seed germination percentage. Soaking in room temperature water (control) for three days was better than using water at 50 0C, 75 0C, and 90 0C on the germination percentage, sprout length, and vigor index. Observations of Arabica seed germination could be shortened to 14 days compared to the standard 21-day observation. During the seedling phase, the shoot growth and root growth of the Arabica coffee seeds soaked in water at 50 0C showed no significant difference from the control. Soaking at 75 0C and 90 0C damaged the embryo and resulted in rotten seeds. Different varieties led to different germination percentages, sprout lengths, and fresh weight of seedling shoots. The method of soaking at 50 0C for 30 minutes could be used as an alternative in germination test of Arabica coffee seeds because it showed small negative effect on germinated seed and seedling quality but it shorten thetesting time for three days.

Response of various growth regulators and shade intensity to the growth of arabica coffee seedlings of Sigarar Utang variety

Abstract. Damanik RIM, Hanum C, Sembiring LJ. 2023. Response of various growth regulators and shade intensity to the growth of arabica coffee seedlings of Sigarar Utang variety. Nusantara Bioscience 15: 85-89. The productivity of Arabica coffee (Coffea arabica L.) of the Sigarar Utang variety in Indonesia is still relatively low, especially in Simalungun District, North Sumatra Province, Indonesia. Growth regulators and shade are some factors that must be considered in nurseries. This research aims to determine the best growth regulators type and shade intensity for Arabika coffee seedling growth. The experiment was conducted from March to June 2022 in Nagori Ujung Bawang, Simalungun District, and the Central Laboratory of Agriculture Faculty, Universitas Sumatera Utara, Medan, North Sumatra. The study used a Split Plot design of 2 factors and 3 replications. The first factor (main plot) consists of 4 levels, namely 0, 50, 70, and 90% shade intensity. The second factor (sub-plot) consists of the three growth regulator treatments, i.e., auxin, cytokinin, and the combination of auxin and cytokinin. The results showed that the interaction between shade intensity and growth regulators had a significantly different effect on increasing root length. The shade treatment significantly affected plant height, leaf area, and total chlorophyll content of leaves. However, it did not affect the stem diameter. A shade intensity of 90% significantly increased plant height, leaf area, and total chlorophyll content of leaves.

Pengaruh Brand Image dan Promosi Online terhadap Keputusan Pembelian (Studi Kasus: Starbucks Coffee Surabaya MERR)

Indonesia is a country that also produces coffee and exports coffee beans on a world scale. The tropical climate and geographical conditions as well as favorable temperatures make Indonesia has excellent potential for coffee cultivation. Therefore, due to the abundance of coffee production in Indonesia, there are many kinds of processed coffee beans, one of which is coffee drinks. The habit of consuming coffee drinks for some people in Indonesia, especially in big cities like Surabaya, has become a lifestyle that continues to grow. This study was conducted to analyze the influence of brand image and online promotion on purchasing decisions at Starbucks coffee outlets. The population in this study is consumers who are interested and reside in Surabaya. This study uses a non-probability sampling method and also uses accidental sampling for sampling. With 99 respondents and analyzed using PLS. From the results obtained for this study, it is found that there is a positive influence between brand image, online promotion and purchasing decisions at Starbucks coffee outlets.

Comparative challenges, cost, and profitability of cooperative versus noncooperative farmers: case of arabica coffee in Indonesia

Coffee plays an important role as an Indonesian agricultural plantation commodity. Although Arabica coffee, which has a higher selling price on the international market than other coffee types, is a crucial source of income for small farmers, the production and quality of Indonesian coffee are very low, which affects the farmers’ income. Agricultural cooperatives can boost the welfare of members and society in general. However, despite the potential benefits of such cooperatives, many small farmers remain sceptical and are reluctant to become members. Within this context, our study aimed to quantitatively examine and compare the challenges, costs, and profitability of agricultural cooperatives using the Kerinci Regency in Indonesia as a case study. We used data obtained through a direct economic survey of 102 randomly selected farmers. Our results indicated that net profit differed significantly between cooperative and non-cooperative farmers and that hired labor represented the most variable costs for all farmers. Our novel findings highlight the financial benefits of agricultural cooperatives for small farmers.

Forecasting Export Volume of Indonesian and Colombian Coffee in the World Market using ARIMA Model

Colombian coffee exports influence Indonesian coffee exports in the short term, so this study aims to forecast the export volume of Indonesian and Colombian coffee in the future. The study used time-series data from 2001 to 2021, further analyzed using the ARIMA model. Based on the projection, Indonesian coffee export is projected to increase with an average value of 1.14 percent and a potential increase of 1.79 percent. However, this result still needed to reach the desired value since the projected coffee export of Indonesia in 2025 only reached 429 172 tons, or lower than the export quantity of Colombian coffee in 2011. This finding indicated that Indonesian coffee export tended to increase stagnantly and was considered low compared to the increasing export of Colombian coffee.JEL Classification: C22, C53, E37, F17, Q13How to Cite:Zuhdi, F., Maulana A. S., & Rambe, K. R. (2023). Forecasting Export Volume of Indonesian and Colombian Coffee in the World Market using ARIMA Model. Signifikan: Jurnal Ilmu Ekonomi, 12(1), 57-68. https://doi.org/10.15408/sjie.v12i1.25456.

Derajat Integrasi Ekonomi Indonesia Dengan Malaysia Pada Komoditi Kopi

<em>Economic integration </em><em>aims<em> to facilitate the flow of goods and services between integrated countries by reducing trade barriers, both tariff and non-tariff. At the ASEAN level, implementing economic integration is performed by establishing AFTA. For AFTA's performance to be effective, CEPT and ATIGA schemes are formed. Indonesia and Malaysia have a relationship in AFTA, which is applied one of them in the coffee commodity trade. Because Indonesia is in the position of producers and Malaysia is in the position of consumers. This study aims to analyze the degree of economic integration between Indonesia and Malaysia in coffee from 2001-2020. This study uses the Intra-Industry Index (IIT) approach using the Grubel-Lloyd Index (G-L index) model. Data in this research is secondary data from 2001-2020. The research variables are the volume of Indonesian coffee exports to Malaysia and the volume of Indonesian coffee imports from Malaysia. The results show that Indonesia and Malaysia's average degree of economic integration from 2001-2020 is weak. From 2001-2020 the IIT index fluctuated, with the highest in 2017 at 8.6386 and the lowest in 2011 at 0.169184. From 2001-2020 the most types of coffee exported to Malaysia based on the HS Code were 09011110 (Arabica wib or robusta oib, not roasted, not decaffeinated), while the type of coffee most imported by Indonesia from Malaysia based on the HS Code was 090121200 (Coffee, roasted, not decaffeinated, ground).</em></em>

Coffee Production and Geographical Indications (GI): An Analysis of the World Panorama and the Brazilian Reality

Coffee cultivation is of great importance in the world economy. Due to consumers' demand for products with quality and geographic certification, the topic is relevant. The research objective is to portray the international and Brazilian scenario of the coffee production chain, based on production and Geographical Indications (GIs) for the product. The research is classified as exploratory and descriptive in relation to the approach, and as bibliographical and documental in relation to the means of investigation. It was found that the world's largest coffee producers are Brazil, Vietnam, Colombia, and Indonesia. There was a reduction in world production for the 2021/22 crop, due to the low production of arabica coffee in Brazil, but for the 2022/23 crop, an increase in this production is estimated. Most coffee-producing countries follow specific legislation to protect Geographical Indications and others protect them through trademarks. In Brazil, the definition of GI is explained by its species, Indication of Origin (IO), and Denomination of Origin (DO). Brazil is the second with the highest number of GIs for coffee in the world. El Salvador has a GI that represents the entire coffee value chain. Indonesia is the country with the highest number of GIs for coffee in the world and has state support for its promotion. Given this scenario, there is a need to develop public policies aimed at this product. It is indicated for future research the study of these policies and the performance of bodies responsible for the consolidation of GIs in their respective countries.

Projection of Robusta Coffee's Climate Suitability for Sustainable Indonesian Coffee Production

This study aims to analyze the impact of climate change on the climate suitability of Robusta coffee in five main Indonesian coffee production centers namely Aceh, North Sumatera, South Sumatera, Bengkulu and Lampung using the Maxent approach. The study used climate data, and climate projections from Worldclim and coffee location data from maps of Indonesia's main agricultural commodities. The results showed that Maxent had good performance in modeling the climatic suitability of Robusta coffee at the provincial level, and the corresponding production areas shifted with different patterns between provinces. The areas with suitable and highly suitable climates for Robusta coffee were projected to decrease in all provinces except for Bengkulu. The findings suggest a future challenge for Robusta coffee sustainability in Indonesia. Aceh, North Sumatera, South Sumatera, and Lampung need to develop adaptation strategies to anticipate the increasingly unsuitable environment. On the other hand, Bengkulu can be considered a new area for coffee plantation. The projection of the suitability of the coffee climate is crucial in determining the future coffee development areas and for the rejuvenation of the existing coffee plantations, highlighting the significance of the study's findings for policymakers, farmers, and other stakeholders.