Assessment of groundwater utilization in the Bandung-Soreang groundwater basin based on non-domestic water demand planning standards

The need for water in various human activities increases with population, agriculture, and industry. The utilization of surface water is a priority to meet water demands. However, if access to surface water cannot be fulfilled, then the fulfillment of water demands will shift to groundwater. The research was conducted by calculating the standard of water demands for industrial activities based on the ministry of public works and housing standards. The first calculation is carried out by calculating water demand through the industrial land area in the research location and multiplied by the standard of water demand for non-domestic water demands. The second standard water demand calculation is the equivalent percentage of domestic water demands as non-domestic water demands. The first calculation method explains that West Bandung Regency had exceeded the maximum value of the standard water demands. In the second calculation method, Cimahi City, Sumedang Regency, and West Bandung Regency had exceeded the maximum value of water demand standards. Further research is needed regarding the collecting data of distribution and volume of groundwater utilization by unregistered wells. It is to explain actual groundwater utilization for domestic and non-domestic in Bandung-Soreang Groundwater Basin. So that water resources management can be carried out comprehensively.

Examining the Role of Social Media Analytics in Providing Competitive Intelligence

This study examines the role of social media analytics (SMA) in providing competitive intelligence (CI). Building on CI theory, the data from qualitative semi-structured interviews with respondents belonging to social media, manufacturing, telecommunication, IT and service industries were analyzed using Nvivo coding and matrix queries. The results show that SMA provides an expanded CI beyond the previous limits of customers/markets and competitors, including insights on supply chains, costs and information-flow. Moreover, SMA-driven CI can provide visibility to supply chain uncertainties enabling improvements in demand planning and inventory management. SMA can provide CI about competitors’ strengths and weaknesses and customers’ dynamics; however, the bi-directional nature of CI could be determinantal if SM-linked customers are not educated/kept informed. Matrix query results illuminate the differences/similarities in respondents’ views. Academically, the study shows that SMA provides expanded CI to businesses beyond previously known scope of competitor analysis.

Examining the Role of Social Media Analytics in Providing Competitive Intelligence

This study examines the role of social media analytics (SMA) in providing competitive intelligence (CI). Building on CI theory, the data from qualitative semi-structured interviews with respondents belonging to social media, manufacturing, telecommunication, IT and service industries were analyzed using Nvivo coding and matrix queries. The results show that SMA provides an expanded CI beyond the previous limits of customers/markets and competitors, including insights on supply chains, costs and information-flow. Moreover, SMA-driven CI can provide visibility to supply chain uncertainties enabling improvements in demand planning and inventory management. SMA can provide CI about competitors’ strengths and weaknesses and customers’ dynamics; however, the bi-directional nature of CI could be determinantal if SM-linked customers are not educated/kept informed. Matrix query results illuminate the differences/similarities in respondents’ views. Academically, the study shows that SMA provides expanded CI to businesses beyond previously known scope of competitor analysis.

Examining the role of social media analytics in providing competitive intelligence- The impacts and limitations

This study examines the role of social media analytics (SMA) in providing competitive intelligence (CI). Building on CI theory, the data from qualitative semi-structured interviews with respondents belonging to social media, manufacturing, telecommunication, IT and service industries were analyzed using Nvivo coding and matrix queries. The results show that SMA provides an expanded CI beyond the previous limits of customers/markets and competitors, including insights on supply chains, costs and information-flow. Moreover, SMA-driven CI can provide visibility to supply chain uncertainties enabling improvements in demand planning and inventory management. SMA can provide CI about competitors’ strengths and weaknesses and customers’ dynamics; however, the bi-directional nature of CI could be determinantal if SM-linked customers are not educated/kept informed. Matrix query results illuminate the differences/similarities in respondents’ views. Academically, the study shows that SMA provides expanded CI to businesses beyond previously known scope of competitor analysis.

PROYEKSI KETAHANAN PANGAN PROVINSI NUSA TENGGARA TIMUR TAHUN 2015-2045 DITINJAU DARI KETERSEDIAAN, KEBUTUHAN, DAN PERSEDIAAN BERAS

<p><em>Regional independence in fulfilling food demand is expected to increase agriculture products, both in the diversification aspect and food management. This paper aims to determine how food development strategies are, especially rice, in this climate change situation nowadays. Food planning in East Nusa Tenggara Province is done by rice availability, demand, and supply in 2015</em>–<em>2045. </em><em>According to scenarios, these projections describe</em><em> that rice supply in East Nusa Tenggara Province is surplus while the harvest area is increasing and deficit while the harvest area is decreasing. Therefore, food planning is needed regarding food availability to remain food supply in the latter days. </em><em>Food demand planning can be used as a policy basis to make food supply still stable, increase the welfare of farmers and society, and even increase both East Nusa Tenggara Province’s GDRP and Indonesia’s GDP.</em></p>

Solving a Demand-Supply Mismatch by Enabling a Value Chain Orientation

Supply-Demand mismatch is a continuous challenge among suppliers creating poor customer service levels and often leading to higher costs to the entire supply chain, to meet the demands of the customer. This paper will highlight demand-supply mismatch issues between a steel supplier having supply issues with one of its premier automobile customers due to difficulties in forecasting the appropriate demand from the customer. The outcome of the original research was developing a framework for an integrated planning process that overlooks the entire demand planning and management of the customer, in addition to emphasizing the application of demand profiling that enabled to build a novel future state inventory model. In the context of the work published here, an enabler and inhibitor analysis was conducted, that studies the structure and processes within and between firms, to identify any business implications that may affect the demand-supply mismatch.

Demand Management Strategies in Services Industry and Measuring its Impact on Company Performance

This study explores the relationships between selected Supply Chain Risks (SCRs), use of Demand Management Strategies (DMS) in services industry and impact on Company performance. An empirical framework is proposed in which presence of SCRs influences use of DMS during peak and lean demand. Use of these options is related to improved company performance, i.e. Supply Chain (SC) competitive performance, customer satisfaction, and financial performance. The empirical tests using a Structured Equation Model (SEM) were carried out based on data from survey of 439 services businesses in India covering 10 services industry groups. The results demonstrate the contingent relationship between SCRs and company performance and use of DMS as mediator. The presence of demand variability risk influences the use of Demand Planning and Forecasting techniques and Controlling of customer arrival during peaks. Use of Demand Planning and Forecasting techniques enhances SC Competitive performance. Controlling customer arrival during peaks improves financial performance. Mismatch of Capacity against demand (unused capacity) leads to use of techniques to influence demand during lean periods which in turn improves SC performance, customer satisfaction, as well as financial performance. Presence of delivery quality risk does not influence use of DMS.