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All Journal Bulletin of Electrical Engineering and Informatics Bulletin of Electrical Engineering and Informatics Bulletin of Electrical Engineering and Informatics Proceeding of the Electrical Engineering Computer Science and Informatics Scientific Contributions Oil and Gas
Ditdit Nugeraha Utama
Bina Nusantara University
Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Electrical & Electronics Engineering Energy Engineering

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SGSC Framework: Smart Government in Supply Chain Based on FODA Ahmad Nurul Fajar; Ditdit Nugeraha Utama
Bulletin of Electrical Engineering and Informatics Vol 7, No 3: September 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (505.337 KB) | DOI: 10.11591/eei.v7i3.817

Abstract

Smart System has implemented in government sector. There are varies Implementation that was utilized by research activities for numerous domains is very broad. Besides that, the Industry, transportation and health, also where such a system is incredibly beneficial. This study discuss supply chain and governmental link issue, coordination of all stakeholder in supply chain has to reflect the government role. It support with the condition in Indonesian government environment is unique. It is a challenge to construct smart system based on Feature Oriented Domain Analysis (FODA) approach. It can produce software product line (SPL). We proposed framework for develop software product line for smart supply chain in government sector. It is used to enhance and improve the development of software systems by multiple software system developers. It will be a guidance for construct smart government, and more specificity in supply chain for government system area environment. It is called SGSC Framework. It consists of four layers, such as optimization layer, integration layer, supply chain layer and data layer.
SGSC Framework: Smart Government in Supply Chain Based on FODA Ahmad Nurul Fajar; Ditdit Nugeraha Utama
Bulletin of Electrical Engineering and Informatics Vol 7, No 3: September 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (505.337 KB) | DOI: 10.11591/eei.v7i3.817

Abstract

Smart System has implemented in government sector. There are varies Implementation that was utilized by research activities for numerous domains is very broad. Besides that, the Industry, transportation and health, also where such a system is incredibly beneficial. This study discuss supply chain and governmental link issue, coordination of all stakeholder in supply chain has to reflect the government role. It support with the condition in Indonesian government environment is unique. It is a challenge to construct smart system based on Feature Oriented Domain Analysis (FODA) approach. It can produce software product line (SPL). We proposed framework for develop software product line for smart supply chain in government sector. It is used to enhance and improve the development of software systems by multiple software system developers. It will be a guidance for construct smart government, and more specificity in supply chain for government system area environment. It is called SGSC Framework. It consists of four layers, such as optimization layer, integration layer, supply chain layer and data layer.
SGSC Framework: Smart Government in Supply Chain Based on FODA Ahmad Nurul Fajar; Ditdit Nugeraha Utama
Bulletin of Electrical Engineering and Informatics Vol 7, No 3: September 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (505.337 KB) | DOI: 10.11591/eei.v7i3.817

Abstract

Smart System has implemented in government sector. There are varies Implementation that was utilized by research activities for numerous domains is very broad. Besides that, the Industry, transportation and health, also where such a system is incredibly beneficial. This study discuss supply chain and governmental link issue, coordination of all stakeholder in supply chain has to reflect the government role. It support with the condition in Indonesian government environment is unique. It is a challenge to construct smart system based on Feature Oriented Domain Analysis (FODA) approach. It can produce software product line (SPL). We proposed framework for develop software product line for smart supply chain in government sector. It is used to enhance and improve the development of software systems by multiple software system developers. It will be a guidance for construct smart government, and more specificity in supply chain for government system area environment. It is called SGSC Framework. It consists of four layers, such as optimization layer, integration layer, supply chain layer and data layer.
User Experience Analysis of the Users Babacucu.Com Taruna Diyapradana; Ditdit Nugeraha Utama; Ahmad Nurul Fajar; Gunawan Wang
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 5: EECSI 2018
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (264.398 KB) | DOI: 10.11591/eecsi.v5.1654

Abstract

The Internet has made sharing information easier. By extension, it has also made sharing things easier. The problem is gauging the user experience of free E-commerce websites such as Babacucu.com to see whether people are interested to visit it or not. One of the elements of user experience is usability, that will be measured in this research. The methods used to measure the usability are questionnaires and usability testing with the users of Babacucu as subjects. The results of this study are the level of usability of Babacucu.com and recommendations on how to improve the site's usability.
Estimation of Well Flowing Bottomhole Pressure (FBHP) Using Machine Learning Sugiyanto; Ditdit Nugeraha Utama
Scientific Contributions Oil and Gas Vol 48 No 3 (2025)
Publisher : Testing Center for Oil and Gas LEMIGAS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29017/scog.v48i3.1851

Abstract

Flowing Bottomhole Pressure (FBHP) is an essential factor for oil well performance evaluation, but conventional measurement methods can be costly and lack real-time capability. This study presents a machine learning approach to estimate FBHP using simulated data from established vertical flow correlations. The proposed framework includes four main steps: collecting input parameters, simulating pressure drops calculation, developing an artificial neural network (ANN) model, and designing the FBHP calculation algorithm. The ANN was developed using key input variables, including inlet pressure, system temperature, tubing size, inclination, segment length, gas-oil ratio (GOR), water cut, oil API gravity, gas gravity, fluid rate, and vertical flow correlation type. A dataset of 790,409 points from several multiphase flow simulations was used, covering various well conditions for naturally flowing oil wells without artificial lift. The optimal ANN architecture featured six hidden layers and was trained with transformed, encoded, and normalized inputs, achieving a testing mean absolute error (MAE) of 7.8259 psia and R² of 0.9993. Segment-level predictions are then conducted iteratively to estimate FBHP for the whole well trajectory. Compared to earlier studies, the novelty of this work lies in its large and diverse set of well-flowing conditions, combined with comprehensive tubing geometry using segmentation. This approach enables the modelling of a wider range of flow scenarios and complex well trajectories.
Co-Authors Ahmad Nurul Fajar Gunawan Wang Sugiyanto Taruna Diyapradana