Telecommunications in Indonesia has grown extraordinarily, especially from beginning of the year 2010. This
condition has made telecommunications becoming the promised business and ready facing the tight market. The
competition is high due to the large mobile phone operators, which made the quality of services becoming less
noticeable, severely operators are focusing on offering cost. Every year revenue per users are found to be decline,
resulting innovation and improve quality of services which can increase income and sustain customers loyalty.
This research used Soft Systems Methodology approach (SSM) and has implemented philosophy of Critical
Systems Thinking (CST), Strategic Assumption Surfacing and Testing (SAST) and used tools of Analytical
Hierarchy Process (AHP) to rank the most influential innovation factors in telecommunications company strategy,
through a series of in-depth interviews with experts. The analysis of the results providing incentives to innovators
which is the most important in telecommunication company's strategy in producing the best quality of services and
win the competition.

Jakarta landscape was predicted under sea level after 20 years, hence vulnerable for coastal flooding (Rob). According to ALOS/PALSAR image model, land subsidence is around 10 cm per year. Furthermore, degradation of living environment due to rapid population growth makes Rob area widened. This research aims to analyze socio-economical impact of Rob occurences which covers risk elements of destruction, vulnerability and adaptation capability. The study area in North Jakarta was divided into three clusters according its Rob characterization. Sustainability factor analysis was done through Radar Chart interpretation. Livable City Index (LCI) was evaluated by 15 variables. Soft System Methodology (SSM) used to identify Rob adaptive strategy. Main impact of Rob was found on decreasing of people health, especially children (48%), and disruption of community economics activities (37%). LCI was calculated 2.00 (hazardous) for cluster 1, 2.27 (inconvenience) for cluster 2 and 3.23 (comfortable) for cluster 3. According to Purposively Activity Map, adaptive strategy for Rob are better city planning policy, maintenance of dams, and flood control rehabilitation. Rob prevention includes settlement spatial arrangement, road and sidewalks, drainage and clean water provision. Community participation is encouraged, especially in relief funds management and garbage disposal at coastal area.

Stakeholder analysis is a necessary step to design sustainable mangrove management. Such analysis was conducted to identify related stakeholders that involve in the initiative. The purpose of this study was to identify and map the stakeholders in sustainable mangrove management and describe their role and main duty. The research was conducted in Kwandang sub-district of North Gorontalo District. In this study, we found 13 stakeholders consist of 6 key players, 2 subject and 4 context setter. Stakeholder’s analysis is an effective approach to identify and map interest and power of each actor prior to designing a mangrove management program. The status of each actor can be used as an input for developing and designing the management system that can fulfill interests and needs of each actor. It will also ensure that the design can be actually implemented in the ground.

Utilization of electronic products expansion dramatically in recent decades throughout the globe. Faster technological evolution is one of the causes of the high use of electronic products and makes the product obsolete rapidly. Therefore, this encourages the potential for various risks and becomes one of the problems in the sustainability of environmental management. Moreover, risk factors study in the process of managing e-waste has not been done. Therefore, this study will analyze the risk of e-waste management factors using the Failure Mode Effect Analysis (FMEA) approach. Several important information regarding the risk factors of the e-waste management process were collected using literature studies, interview methods, and fishbone diagrams. The risk factors were arranged in the form of questionnaires distributed to five respondents from various fields such as academics, the ministry of environment, the sanitation department, non-governmental organizations. The respondents were asked to provide a risk assessment based on expertise and professionalism. The result shows that several highest RPN values such as manual technology (729), number of technologies (729), legal compliance (729), and recycling costs (729). At the same time, other factors are still in the medium and low category. Thus, risk evaluation in the e-waste management process is focused on the highest risk category. Furthermore, this research can be an approach to evaluating risk management from electronic waste in DKI Jakarta-Indonesia and other developing countries. Further studies to improve the results of this research need to be carried out that will be useful for further action in the future.

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