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"Dalam dunia manajemen proyek, selain mengelola satu proyek besar, terdapat juga proyek-proyek kecil yang berjalan secara simultan dengan tingkat kompleksitas yang lebih tinggi, masalah utamanya adalah bagaimana mengelola sumber daya terbatas dan memperbaharui prioritisasi proyek berkelanjutan. Sehingga perlu bagi perusahaan untuk dapat membangun kebijakan dalam mengelola multi proyek. Tulisan ini bertujuan mengidentifikasi faktor-faktor yang mempengaruhi peningkatan pengelolaan multi proyek khususnya dalam mengelola produktivitas penyelesaian tugas-tugas perekayasaan. Untuk membuat keputusan yang tepat, membangun kebijakan harus berbasis pada resultan dari proses sebab dan akibat, sehingga memerlukan model sistem dinamis untuk memahami perilaku yang kompeks. Hasil dari model sistem dinamis adalah memberikan rekomendasi untuk pengelolaan manajemen multi proyek.

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In the world of project management, there are single large projects to manage as well as those with small projects running simultaneously thus introducing higher levels complexity. The main problem is how to manage lack of resources and continuously update the prioritization of project. Therefore a company will need to be able to develop policies for managing multiple projects. This paper aims to identify factors that enhance multi project management especialy in managing productivity to complete engineering tasks. In order to make the right decisions, policy development should be based on resultant desired cause and effect processes requiring dynamic system modelling for understanding complex behaviour. The outcome of dynamic modelling is to provide policy recomendations for managing complex multi project operations."

"Lingkungan bisnis sedang mengalami perubahan yang cukup signifikan Saat ini perusahaan dituntut untuk lebih fleksibel dalam beradaptasi dengan lingkungan bisnisnya baik secara internal area sekitarnya hingga dunia Oleh karena itu salah satu cara agar perusahaan dapat lebih fleksibel dalam beradaptasi dengan lingkungan bisnisnya adalah dengan pemanfaatan TI Adapun tujuan dari pemanfaatan TI di dalam perusahaan antara lain untuk mempermudah dalam mengakses informasi yang dibutuhkan oleh perusahaan begitu pun halnya dengan pemrosesan dan pengolahan data data yang berjalan di perusahaan tersebut sehingga diharapkan dengan pemanfaatan TI ini akan tercapai efisiensi yang pada akhirnya dapat meningkatkan produktivitas dan pelayanan perusahaan terhadap pelanggan dan mitra kerjanya Namun pemanfaatan TI pun membutuhkan investasi yang besar selain tantangan lain seperti penyelarasan strategi bisnis perusahaan dengan strategi pemanfaatan TI serta paradigma TI hanya sebagai cost centre Oleh karena itu sebelum melakukan investasi TI ada baiknya perusahaan untuk melakukan kajian analisis mengenai investasi TI yang akan dilaksanakan beserta identifikasi risiko yang mungkin akan menghambat investasi tersebut Penelitian ini bertujuan untuk mengidentifikasi manfaat bisnis yang akan diperoleh oleh PT XYZ dari rencana investasi pengembangan Oracle Finance serta melakukan identifikasi risiko yang mungkin menghambat terlaksananya investasi tersebut Hasil penelitian adalah teridentifikasinya 2 manfaat bisnis dengan nilai total manfaat sebesar Rp 3 633 202 500 dan 6 KRI yang berpotensi menghambat rencana investasi Diharapkan penelitian ini dapat memberi masukan bagi perusahaan dalam pelaksanaan rencana investasi serta memperkaya penelitian tentang manfaat bisnis dari investasi TI.

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The business environment is undergoing significant changes Currently company nowadays requires to be more flexible in adapting to the business environment internally to its surroundings and to the global world Therefore one way that companies can be more flexible in adapting to the business environment is the use of IT The purpose of using IT in the company among others is to facilitate the access to the information needed by the company as was the case with the data processing runs in the company will achieve efficiency by using IT which in times will improve productivity and company services to its partners and clients However the use of IT often requires large investment in addition to other challenges such as the alignment of business strategy with IT strategy and paradigm with IT merely as cost centre Therefore before making IT investments a company should develop a study regarding the analysis of IT investment plans to be carried out along with the risk identification that might hamper the investment This study aims to identify the business benefits that can be gained by PT XYZ from its investment plan on upgrading the Oracle Finance as well to identify the risk that may impede the implementation of the investment plan Results of the study shows two main business benefits that can be gain by PT XYZ with a total value of benefits Rp 3 633 202 500 and 6 Key Risk Indicators that potentially hamper the investment plan Hopefully this research can provide inputs for the company in the implemetation of the investment plan and enrich research on the business benefits of IT investment "

"A study has been done on the potential integration of Demand Side Management (DSM) to the reduction of electric power peak load forecasting in the Indonesian electric system by using the indonesia Energy Outlook by .System Dynamic (INOSYD) model and Artificial Neural Network (ANN) method, within the study period of 2005-202l. DSM is the process of managing the consumption of energy. generally to optimize availability and development plan of energy resources. DSM application in this research refers to actions taken on the customer 's side of the matter to change the amount or timing of energy consumption, therefore it influences the reduction of the long-range forecasting of electricity peak load In this paper, the lang-term load forecasting is studied by using INOSYD model, JS T method and Model for Analysis of Energy Demand (MAED) as comparison, where the calculation results of average annual load growth rate are around 4.60% (DVOSYD) ; 7.l6% (ISD and 6.87% (MAED) respectively. Afterwards, the influence of DSM by an effort to reduce energy consumption of residential sector by an amount of 5% and l0% respectively, with the respect to the lang-term load forecasting by using INOSYD model and ANN method is performed The study results show that DSM application at residential (household sector at an amount of 5% and l 0% by using lNOS}'D model will reduce the average long-term load forecasting by about 4.95% and 9.90% respectively, meanwhile ANN method will reduce the average long-term load forecasting by about 2.74 and 5.36% respectively."