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Design of intelligent decision support system model for sugar factory performance improvement analysis

dc.contributor.advisorMa'arif, Mohamad Syamsul
dc.contributor.advisorSukardi
dc.contributor.advisorRaharja, Sapta
dc.contributor.authorDewayana, Triwulandari Satitidjati
dc.date.accessioned2012-03-26T01:48:00Z
dc.date.available2012-03-26T01:48:00Z
dc.date.issued2011
dc.identifier.urihttp://repository.ipb.ac.id/handle/123456789/53927
dc.description.abstractMain problems faced by sugar factories in Indonesia are low productivity and efficiency. These two aspects became the most important factors in improving sugar factory performance. Performance improvement consist of performance measurement, performance objectives, and improvement priorities setting. Since analysis of performance improvement research in sugar factories Indonesia were very limited, more research in this area are required. The purpose of this research was to design an intelligent decision support system model for sugar factory performance improvement analysis. Aspects of performance being studied were strategic performance, operational performance, and tactical performance. Objects of research are small, medium and large scale sugar factories under PTPN X. Model and prototype of performance improvement analysis resulted from this study consist of five sub-models: classification, performance measurement, best performance selection, best practice analysis, and setting performance improvement priority. To verify and validate the model, we use performance data from sugar factories during 2008 and confirmation from experts. The implementation of model results indicate that: 1) intelligence decision support system model for the analysis of the performance improvement of the sugar factory is an integrated model to achieve the objective analysis of the performance improvement in terms of determining the performance, performance targets, and priorities for performance improvement; 2) model can be used to measure strategic performance, operational performance, and especially on the tactical performance of the internal process perspective of the sugar factory; 3) output of the model selection of the best performance set as the a minimum target performance can improve the performance of strategic and operational performance of the sugar factory; and 4) model can be used to determine the priority of the sugar factory improvements and suggestions for improvement.en
dc.description.abstractIndustri gula Indonesia merupakan industri manufaktur yang berkembang pertama kali di Indonesia dimana pada masa kejayaannya (tahun 1930-an) pernah menjadi negara eksportir gula ke dua di dunia setelah Kuba. Namun, sejak tahun 1967 Indonesia menjadi negara pengimpor gula untuk memenuhi kebutuhan gula dalam negeri. Dengan pertimbangan utama untuk memperkuat ketahanan pangan, Indonesia berupaya meningkatkan produksi gula dalam negeri, termasuk mencanangkan target swasembada gula, yang sampai sekarang belum tercapai. Salah satu faktor yang menentukan keberhasilan program swasembada gula adalah pabrik (terkait dengan pengolahan). Permasalahan yang dihadapi pada sisi pengolahan yaitu rendahnya efisiensi dan produktivitas pabrik gula, yang merupakan aspek paling penting dari kinerja. Oleh karena itu perbaikan kinerja di sisi pengolahan (pabrik) menjadi kebutuhan yang mendesak dan harus dilakukan secara terus menerus. Tahap paling penting dalam perbaikan kinerja adalah tahap analisis.id
dc.publisherIPB (Bogor Agricultural University)
dc.titleRancangbangun model sistem penunjang keputusan intelijen untuk analisis perbaikan kinerja pabrik gulaid
dc.titleDesign of intelligent decision support system model for sugar factory performance improvement analysisen
dc.date.updatedAzizah 2013-01-22 Edit: author, advisor, keyword
dc.subject.keywordPerformance Improvement Analysis
dc.subject.keywordIntelligent Decision Support System
dc.subject.keywordArtificial inteligence technology
dc.subject.keywordSaccharum officinarum


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