This study describes a series of treatment processes and functions of each stage in the production process and the conditions of maltose product with GMP parameters are implemented by the application of HACCP is equipped with Work Instructions CCP. The study was conducted with qualitative data analysis, by comparing the data and the results of observations with the relevant literature, in the form of articles, research journals, and generally accepted standards, although the calculation of GMP with some quantitative data. Through the resulting composition of the seven studies document the HACCP assessment, include: (1) Establishment of HACCP team, (2) Description of Products and Processes, (3) Purposes and Consumer Products, (4) Process Flow Diagram, (5) Hazard Identification, (6) Determination of the CCP, and (7) Worksheet CCP. Documents 1, 2, and 3 have been prepared to review and revise the existing old documents, while the documents 4 to 7 is a new document. The seven documents is then also equipped with Work Instruction documents CCPs to facilitate labor in monitoring and control of critical control points (CCPs). The results showed maltose production process generally consists of four main phases, including: likuifikasi, saccharification, purification (filtration and ion processes), and concentration.

Abstract:Energy use in Indonesia's steel industry accounts for about 20-35% of total production costs. Consequently, energy end-use efficiency is a crucial measure that is used to reduce energy intensity and decrease production costs. This article aims to investigate the relationships among different barriers to energy efficiency improvement (EEI), using a framework with the following six constructs: government policy, the financial-economic factor, the managerial-organizational factor, the technological factor, workforce, and quality and type of feedstock and fuel used. The data were collected from steel firm practitioners in Indonesia, using a questionnaire to test our framework. The results demonstrate that the applied framework was applicable. We find that EEI is moderately influenced by all constructs but that the managerial-organizational factor has the greatest direct effect on improvements and is the most significant factor.

A good performance measurement should measure all aspects of the stakeholders, including investors, customer, employees, suppliers, regulators and communities. Performance prisms is one of performance measurement methods that assess all aspects of stakeholders. A hospital which has established in Malang is such organization that used conventional performance measurement. It conducted performance measurement based on only the financial aspect, while the others less noticed. This study applies performance prism that supported by Analytical Hierarchy Process (AHP) as weighting system and integrated of objectives matrix (OMAX) and traffic light systems as scoring systems. The results obtain 99 KPIs consists of 17 investor aspects, 35 customer aspects, 16 employee aspects, 15 supplier aspects and 16 regulator and community aspects. Overall performance index is 7.9 in the yellow category that needs some improvements.

Lean manufacturing is about eliminating waste including the seven traditional, this writing suggested an observation on no value added of seven wastes influencing the process of fresh water production. The relationship value among waste was statistically verified to create an approach for continuous improvement action. Thus, the main goal of this research is to develop a methodology of relationship among wastes and eliminate them. In relationship among wastes, it could be known that the high value indicating how often it happened in the production process gave direct cause in the system of fresh water treatment. A recommendation to reduce the highest value of waste is by doing improvement on parameter setting to obtain an optimum mixing model between water supply, alum and stroke pump with Taguchi method. The interaction of relationship among these seven types of waste can be portrayed using fishbone diagram and a relationship model among wastes using PLS smart (partial least squares). The final relationship model with the highest value of waste was analyzed using off-line quality control to upgrade the quality of fresh water used as the basis to eliminate waste and find out the optimal parameter of mixing process in accordance with the health standard.

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