Wikan Danar Sunindyo

Fostering government transparency and public participation through linked open government data: Case study: Indonesian public information service

Open data refers to data that is freely available in the Internet and can be used, reused, and redistributed without restrictions from copyright or patent. This paper describes our approach to fostering government transparency and public participation through linked open government data (LOGD). We have analyzed how Indonesian Government deals with the open government data issues, and we define its maturity level based on the existing maturity framework. Then, we proposed a conceptual framework advance the Indonesian open government data maturity level to encourage further improvement on the government transparency and public participation. To show the feasibility of our approach, we developed a case study to show how the open data advancement could support the government transparency and public participation. Our case study shows promising result and we are eager to continue working in the area in a bigger scale.

Modeling the requirements for big data application using goal oriented approach

In this research, we propose generic requirement model for Big Data application. The model offer the use of i* Framework and Knowledge Acquisition automated System (KAOS), which are part of Goal Oriented Requirement Engineering (GORE). Big Data applications handle flood of data that occurs from anything such as climate data, genomes, even just software logs or facebook status. To build such applications demands gathering special requirements specific for Big Data. A generic requirement model is proposed using i× and KAOS model. The model is constructed from analyzing the requirements based on the characteristics of Big Data and its challenges. This generic model is then applied to a case study in an Indonesians government agency for development planning of West Java (UPTB Pusdalisbang Jawa Barat). The result of this application has demonstrated that the model can be used to generate a valid software requirement specification.

Open data strategy for enhancing the productivity and competitiveness of fishery SMEs in Indonesia

The using of open data to improve transparency and public participation in the national development has become an issue in Indonesia. The public, including Small and Medium Enterprises (SMEs) can use the open data provided by the government and other related institutions in order to increase their profits and benefits. The SMEs in fish farming and processing are also trying to use open data in order to improve their productivity and competitiveness. However, current open data in fishery SMEs are scattered in different sites with different status and lack of strategy to integrate and utilize them efficiently. This paper proposed a top-down model as a strategy to identify problem, opportunity and challenges of integrating and using open data for fishery SMEs. The result is a model that can be used for supporting decisions made by SMEs.

A proposal of quality model for mobile games

Rules in the game are artificial with interesting scenarios and equipped with audio-visual with specific purpose to entertain users. With the growing number of mobile devices, more mobile games are created. Developers need to have a way to assess the quality of mobile games. In this paper, we propose a quality model based on Playability Quality Model by Sanchez. We added new elements the complete the model based on new ISO standards. The model was then evaluated on several mobile game titles and mobile game players. We evaluated the results and it shows that our proposed quality model can be used to measure the mobile games quality.

Study of algorithmic method and model for effort estimation in big data software development case study: Geodatabase

During the early phase of software development, there are works to be done. One of them is conducting an effort estimation. Without a proper process, the development may find itself overlook the targeted budget. This paper focus on the study of effort estimation in Big Data software development. Big Data definitions and characteristics may altered the current method and model that used to estimate the effort. As author undergo the study, it shows that one of the most appropriate method to be used is the algorithmic method. Thus, the study is concentrated in the use of algorithmic method and three models within it, namely the COCOMO II, Function Point Analysis, and Use Case-based Estimation. The study result is tested using a study case of Geodatabase. Geodatabase is a software which process Big Data and developed by the Center of Data and Analysis of Rural Development (Pusat Data dan Analisa Pembangunan - Badan Perencanaan dan Pengembangan Daerah Provinsi Jawa Barat). The study concludes that the practice of using algorithmic method and models is able to deliver an estimation value. However, the value is being convergent only on particular models and their variations. Thus it can be concluded that it is better to combine various methods and models in order to achieve better accuracy in effort estimation.

Reverse engineering of source code to sequence diagram using abstract syntax tree

Reverse engineering from a source code to a sequence diagram can be very important in the software maintenance process. On the process of reverse engineering, there are a lot of models/approaches that can be used. Extract-abstract-present model is one model that can be applied because every stage in the model can represent reverse engineering process. On stages in the model, the extracted source code is converted into a specific structure for easy analyzed in the next process. AST (abstract syntax tree) is one of the structures that can be used in the extraction process. AST is commonly used as a data structure in the compiler. This research focus on the process of reverse engineering of source code to sequence diagrams. AST is used to generate the sequence diagram. We have implemented this idea in an application called REVUML. REVUML has helped in the process of understanding the flow of the source code in a software application. Our research concludes that the structure of AST has been able to assist in the reverse engineering process. Additionally our implementation has shown that AST can reveal sequences of statements in the source code which can help developers in the reverse engineering process.

Towards an automated test sequence generation for mobile application using colored Petri Net

The rapid development of mobile technologies currently impact on increasing the number of users. This is supported by the emergence of mobile application which begin to replace the role of dektop application. The growing of the mobile device technology also supported by Android Operating System. With Android SDK, developer can develop their application to use feature of mobile device technology. In the software development life cycle, in this case is a mobile application, there is a testing phase which aims to ensure the quality of the mobile application. One of the testing methods is sequence testing. The purpose of this test is to make sure that testing has covering all the flow of the application. In This paper will be present a test model by modeling the sequence of mobile application under test in the model CPN (Colored Petri Net). There are two open source application will be tested, Open GPS Tracker and Random Music Player. This model need to test open source project because CPN model will be constructed base on class diagram and sequence diagram which generated from source code.

Public facilities recommendation system based on structured and unstructured data extraction from multi-channel data sources

Nowadays social media data has grown very rapidly by producing a huge amount and variety of data everyday. Those data can be analyzed and processed to deliver useful information especially for public needs. However, most of the data available in social media are unstructured. This paper proposes a recommendation system for public facilities by utilizing both structured and unstructured data gathered from multi-channel data sources. The system uses single-criteria rating, multi-criteria-rating, and text data as the inputs. The challenge is how to handle data variety such that any kind of data from any channel can be integrated. The second challenge is how to extract location-related data from the raw data. There are four data channels used in the system. Three of them are social media channels, i.e. Twitter, Instagram, and Foursquare, while the other is internal data channel built as a part of the system itself. The system deals with three categories of public facility, i.e. park, hospital, and mosque. The whole system consists of two sub systems, i.e. the extractor system including the rating input module and the recommendation system. The recommendation system is implemented as end-user mobile application such that the users are able to use it anytime and anywhere. The system successfully integrate data from different social media channels and in different format to provide users with useful information concerning public facilities in the form of recommendation (rating) and popularity of the facilities. The experiment has shown that above 90% of the data collected from the social media contains location-related information that is useful for further processing. The system has been tested using usability test, and it obtained an average users score 3.9 on a scale of 1 to 5.

Towards a smart world class city: Case: Building bandung ICT master plan

Information and communication technology (ICT) has become a very important tool to support organization activities to reach its goal, including in the city government. Currently, the Bandung city government has implemented and used several ICT in its daily activities. However, there is still not enough coordination and integration between each governmental unit that makes the works is not efficient. This paper explains the efforts to make an ICT master plan as an umbrella for ICT development in Bandung. We expect that the result of this work can bring Bandung to become a smart world class city.

A proposal for quality assessment model for software requirements specification in Indonesian language for e-Government

Many software applications in e-Government have been developed. To build an application, a good requirements specifications is needed to have a good quality software at the end. Poor quality requirements may cause failures in many software development projects. Typical software developments may not be written by an expert in requirements specification. Therefore they were often ambiguous or may exhibit a poor quality software.