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This study investigates the eco-innovation variable which has the significant effecton creative industries center’s performance of marble and natural stone craft sector in Tulungagung, Indonesia. The object of the study is the creative industries center with the non-renewable raw material. Mostly, the companies are in form of small and medium-sized enterprises (SMEs) which is ‘passive eco-innovator’ and their eco-innovation variables have not been investigated before in terms of their influenceon their performance. The respondents were 81 craftsmen taken from the population. The data were collected through questionnaires which were tested, processed and analyzed by using Consistent Partial Least Square (PLSc). The eco-innovation variables which significantly effecton innovative performance are eco-organizational innovation and eco-product innovation. Eco-process innovation and eco-marketing innovation don’t directly affecton innovative performance, but its significant effecton eco-product innovation may influence innovative performance. Improving innovative performance will impact on financial performance through improvement of production performance, but market performance does not significantly affect financial performance. The findings of this study could be a reference for creative industries center’s of marble and natural stone craft sector to prioritize which type of eco-innovation should be improved so that its impact on performance is more significant

Controlling material stock becomes important problem that faced by the company because controlling it supports production process continually. In applaying material is efforted in order getting cost of supplier more law as possible. PT. Indomarine is one kind of company that produces tube involving two type are fire tube and water tube, in which the primary material is tube and plat. In dealing the consumen needs, the company should give amount materials so that the production will be continually, and the consumer will satisfy. Having more suplies like that is caused by accepting fluctually needs, than causes less supplier optimumly and less in cost too. Based on fenomenon above, so in this research will mucstigate the methods that will be counted the number of material asking.

PT. Industri Sandang Nusantara Pata! Secang Magelang is some factory that regarding in manufactur sector which thread producting. For this time the factory have a problem with stacking same kind of product and in the other way less another product. This case cause that factory use product scheduling based on experience and reckoned of selling in last period. Connected with this problem, the case is how to make a good schedule in order that factory could be completing consumer demand and decided some main product schedule with simpleks methode. The articulate in factory for this time is reguler employee 65 persons. If reguler employee is not enaugh, then there are overtime job (maximal 2 hour/days), and if still not enaugh too, then used subcontract. Based on capacity of production, the number of maximal employee are 70 persons According to teoritis, with using of forecasting and agregat planning, the factory's problem can be done. This forecasting used to productin supossing in about to many periods. With use simpleks methode can be planning the number of employee. In order that, the main production can be made. Analyst result get that demand fluktuation for R 30/1, PR 30/1 products use Moving Average Linear Trend (3) methode, R 24/ 1, R I 11, PR 40/l products using Moving Average Linear Trend (5) methode, PR 45/l product using Linear Regression methode. Value analyst with based on forecasting result for future 12 periods, supposed that factory will pay for Rp. 460.340.000,• After applying Linear Programming giftotal cost Rp. 450.164.576,-. Thrifting Rp. 10.175.424,- or 2,2%. Sensitivity analyst made cost to be Rp. 448.651.040,-, thrifting Rp. 11.688.960,- or 2,5% at the number of regular employees 66 persons.

The amount of hospital in a row with increasingly of the society level, 50 level hospital is demanded to diectly fix up and increase the servility system. The servility system very significant in competent to satisfy the patient. One of parameter to eveluate good or bad a servicing system is a patient wait time. This research take a sample at this emergency treatment Instalation RSUD Dr. Saiful Anwar Malang. Where the patient that come have to be handled correctly and quickly, because the patient that enter to the Emergency Treatment lnstallation in IRD must wait too long time will cause physical defect even death. There for this research is intended to analyze patient servicing system, determine the sum the health power, and the sum of maximal patient that can be handled y emergency treatment Installation, so got the wait time that is fit with patient aspiration level.

In its productionp rocessa, companyis consistedo f variousd epartmentssu pponingo ne another in a good teamwork to build a single unity. Therefore inefiiciency in one of those departmentsw ill affect other departmentsth at in turn will have impact on production outcome. One of thosed epartmentiss producliond epartmentth at is one of the most imponants ections whichp laysi mportanrt olei n productions moothness. One of problemsd isturbingt he smoothnesosf flow processin this departmenits the problemo f long productl ining markedb y considerablwea itingt ime.T his is certainlyi neffective since it will not only disturb the production process flow but also decrease the product quality causedb y too muchw aitingt ime in the line. Thereforew, e havet o makea n efforti n reducingth e line sizew hile still considert he costj ust in casea n improvemenits made.T o overcometh is matter,o new ay we couldt akei s utilizinga line simulationb y optimizings ervicefa cilitiesn umber (numbero f laborf orce)w ith minimumc osta ndp roductw aitingt ime.

Recorded approximately 27 universities in this city is increasingly fierce competitive situation from time to time, causing many colleges difficult to increase the number of students [1]. Department of Mechanical Engineering at the University contained in Malang has not identified the quality of service and support strategy for the satisfaction level of students so as to improve the quality of students. In this research use corporation of SERVQUAL method and multiple linear regression to analyze the results of the questionnaire. This processing produces Gap values and linear regression analysis, it can be calculated the value of Servqual that known and will be prioritized for enhanced service quality. Conclusions and recommendations in order to get improved quality of improvement efforts of the priority criteria for enhanced quality service. Based on data processing using multiple linear regression analysis only tangible dimension that significantly to improve overall satisfaction. To prioritize the improvement of his physical condition improved following completion of facilities and infrastructure improvements in the information media (internet), completeness of facilities and infrastructure improvements in the lecture, the addition means supporting information, improved seating and desks Conditions comfortable class, classroom hygiene, completeness of facilities improvement and infrastructure in the library, improvement classroom air circulation, comfortable classroom temperature, comfortable classrooms lighting.