Wahyu Supartono

Analysis of Quality Process in Snake Fruit Chips Processing Using Failure Mode and Effect Analysis (FMEA) in SME Cristal, Kembang Arum, Turi Village, Sleman, Yogyakarta

Small-medium enterprise (SME) Cristal is one of the snake fruit processing industries in Sleman, Yogyakarta. One of their products is pondoh snake fruit chips. Nevertheless, there are still some failures that occurred in the production process that may decrease the quality of snake fruit chips. Hence, the analysis of failure of the snake fruit production process needs to be carried out in order to identify which process requires improvement. Failure mode and effect analysis (FMEA) is the method used in this research to find out the effect caused by particular system failure and then establish solutions for anticipation based on its scale of priority. The failure will be represented by values of severity, occurrence, and detection. Color and crispness were the research parameters. This research was conducted at SME Cristal, Kembang Arum, Turi village, Sleman, Yogyakarta. The result of this research indicated that frying process was the critical point of production of pondoh snake fruit chips, showed by the highest RPN of 124.68. Labor error and technical factors are the main causes of failure of the whole processing which lead to the not crispy and brown-colored chips. Therefore, improvement in terms of quality control supervision needs to be taken into account.

Life Cycle Assessment of Snake Fruit Chips in Women Farmers Group “Sri Rejeki Aneka Olahan Salak Cristal”

Processed snake fruit in the agrotourism area, Turi, Sleman, and Yogyakarta, has the potential to be developed. One of the products from processed snake fruit is snake fruit chips. Snake fruit chips have a life cycle ranging from the supply of raw materials, production processes, packaging, and marketing. The life cycle processes generate input and output which can have a potential impact on the environment. The purpose of this study was to determine the required energy, emission, and potential impact on the environment. Life cycle assessment (LCA) framework was used as method in this research. Determination of energy use, emissions, and environmental impact which are generated during the life cycle of the snake fruit chips in Women Farmers Group “Sri Rejeki Aneka Olahan Salak Cristal,” Turi, Sleman, and Yogyakarta, was done through LCA. The results showed energy consumption, emission release, and environmental impacts from 1 kg of snake fruit chip product in Sri Rejeki Aneka Olahan Salak “Cristal.” The power consumption of each source was human energy 0.5833 MJ, electricity 5.7509 MJ, LPG 26.13 MJ, and gasoline 4.6774 MJ. Emission release was 2969.51 g of CO2, 89.71 g of CO, 1.598 g of SO2, 14.38 g of NOX, 0.0495 g of CH4, and 0.0054 g of N2O. Those emissions cause environmental impacts such as of global warming potential (GWP) with 3.1132 kg CO2-eq, acidification potential (AP) 0.0116 kg SO2-eq, and eutrophication potential (EP) 0.0018 kg NOX-eq.

Quality Improvement of Product–Service Package of “Mangunan” Agrotourism Using Quality Function Deployment Approach

Mangunan is one of growing agrotourism in the district of Bantul Yogyakarta. Basically, Mangunan had many criteria to support the implementation of product–service package sustainability agrotourism that included product, service, and others. Product–service package is a correlation between the products and services offered simultaneously. Mangunan has a variety of recreational and educative facilities and is supported by a natural landscape as a special attraction. Although it has a wide range of potential, Mangunan has not been able to attract tourists to visit. The study aimed to formulate technical requirements for improving quality of “Mangunan” agrotourism using Quality Function Deployment approach.

The Evaluation to the Fulfillment of ISO 22000 on Frozen Fish Fillet Product (Case Study PT. XYZ)

Indonesia as a major exporter of fishery products is often faced with the denial due to the standards and the systems used by the export destination countries, causing the products to be declined. International food standards are essential to facilitate the global trading and to improve the competitiveness of products with the customer’s trust. The purpose of this study was to identify the gap between food safety management systems in PT. XYZ with ISO 22000 and to generate recommendations to fulfill the implementation of ISO 22000. The data was collected through the audit techniques based on ISO 19011:2011, and the method of analysis that was used for this study was the gap analysis. The initial stage of this study was to collect the data in the form of desk assessment by exploring the related documents and then adjusted to the field of evaluation with interviews and direct observation for the suitability of the document, application, and consistency. The result of these two methods was a list of gaps, in which, based on this list, the treatment on how to fulfill the standard was known. The gap between the food safety management system in PT. XYZ and ISO 22000 is the unavailability of system procedure documents that are required by ISO 22000 and the implementation has not been consistent. The recommendation to fulfill ISO 22000 was to create multiple unmet procedures and to increase the consistency of application of the existing procedures.

Life cycle assessment of fresh fish product in various scale of capture fisheries facilities

There are various models of capture fisheries in Indonesia. One of the distinguishing factors is scale fishing facilities that are used. The differences in scale of these facilities potentially affect the use of inputs and outputs and the resulting environmental impact. In this study, the size of fishing vessels was classified to describe different scale fishing facilities in some areas of the coast of Java. Life Cycle Assessment (LCA) method is used in this study to assess the environmental impacts which are generated during the life cycle of the fish product started from the preparation of fishing operations up to the transportation of fresh fish to the processing unit or local market on some scale fishing facilities. The results showed that the energy and emission generated to transport 1 kg of fresh fish products by smaller scale fishing facilities was higher than the larger one. However, for each trip, the environmental impact caused by that scale was lower than the larger scale fishing facilities. G...

Analisa Faktor yang Berpengaruh terhadap Permintaan Tepung Terigu oleh Industri Kecil Berbahan Baku Tepung Terigu di Daerah Istimewa Yogyakarta

This research was conducted to identify all influencing factors of wheat flour demand of industries, which used wheat flour as main raw material. Samples of this research were five noodle industries and ten sweet cake industries in Yogyakarta municipality. Dependent variable influencing to wheat flour demand of small scale industries were price of wheat flour, price of substitutes (rice flour and tapioca starch), industrys income, and governmental regulation for wheat flour distribution. A double regression method was used to determine the roles of each dependent variable. Result of data analysis showed, that the wheat flour demand was influenced by five factors in following equation: ... If the price of wheat flour (Pt) increased at 1%, the demand of it (Qt) decreased at 0.09%. The increase in price of rice flour (Ptb) 1% caused the increase in demand of wheat flour (Qt) for 0.124%; The increase in price of tapioca starch (Ptp) for 1% affected the increase in demand of wheat flour 0.028%; the increase of wheat flour demand of 0.427; also for cake industry increase in its income 1% caused increase in the wheat flour was stopped, the demand of wheat flour decreased. This regulation affected the declination of wheat flour demand in small-scale industry of wheat demand for 0.036.

Identification of the Maturity Level of Mango “Arumanis” Using Artificial Neural Network

Abstract The sensory perception technique to determine the criterion of maturity level of mango ‘arumanis’ has not been able to predict fruit quality convincingly. This research aims to decide maturity levels and quality of the mangoes using artificial neural network technique. The non-destructive analysis on fruit, color, length and diameter from the selected mango population at various fruit ages from the beginning to the ripe mangoes shows that there are changes in the analyzed samples. The changes also show by test of fruit texture and chemical contents involving total contents of, sugar and acid, pH and starch. The identification of the maturity level using neural network modeled in the application program can identify the criteria of the mangoes, unripe, not mature enough, mature enough, full maturity and ripe.