Excessive land use without any concern towards land and water conservation codes of conduct has a great potential to cause inevitable erosion and sedimentation, flood, drought, and decrease in vegetation coverage and accelerated land degradation, leading to change in watershed carrying capacity. This study aimed at evaluating the watershed classification, dealing with its carrying capacity, which is fundamental for planning in the watershed management. During the research, the author performed field surveys, questioner dissemination, and laboratory tests for suspended sediment quality. Data collected during the observation were subject to further analysis under five predetermined criteria. The study found that the Bodri Watershed carrying capacity was at 96.7, covering percentage of critical land, percentage of vegetation coverage, erosion index scored 10, respectively. The classification for the Bodri Watershed according to carrying capacity was considered moderate and classified as “to be improved” instead of “to be maintained”.

Watershed classification index is important in terms of determining watershed management priority level based on its carrying capacity score whereby currently watershed is classified into two indexes which are “to be maintained” if the carrying capacity score is below 100 and “to be restored” if it is above 100. This index fails to capture existing condition where there are watersheds with carrying capacity score in between 90 and 110. The purpose of this paper is to propose developed watershed classification index to determine management priority level based on watershed carrying capacity score. The method used to develop the watershed classification index is Classification Interval approach. The analysis is resulting in rigorous management priority level based on developed watershed classification index which is 50 < carrying capacity ≤ 90 as Priority 3 (watershed indexed as “to be maintained”), 90 < carrying capacity ≤ 110 as Priority 2 (watershed indexed as “to be improved”) and 110 < carrying capacity ≤ 150 as Priority 1 (watershed indexed as “to be restored”). Therefore, the correct management priority level for Gangsa Watershed that has carrying capacity of 106 is Priority 2.

Integrated watershed management (IWM) using KISS (coordination, integration, synchronisation, and synergy) method is believed to be the answer for problems lingering the integrated watershed management in Indonesia. How successful the management is depends on how capable of stakeholders are to performing coordination, integration, synchronisation, and synergy in managing the watershed. This study aimed at measuring the rates of coordination, integration, synchronisation, and synergy performed by each stakeholder by applying an "Index Rate" instrument. Research findings revealed that, simultaneously, the coordination, integration, synchronisation, and synergy obtained by the watershed management stakeholders resulted in a moderate rate (71.4). Partially, the rates obtained were as follows: moderate coordination (72.69); moderate integrity (72.50); moderate synchronisation (70.34); and moderate synergy (70.05).

Development of the coastal area without environmental consciousness is disrupting coastline equilibrium, thus triggering erosion and accretion. This results in the obscurity of the border area due to coastline change. The objective of this study is to determine the original coastline of Semarang city and Demak district. The method used is remote sensing using Landsat satellite imagery data dating from 1984 to 2018. The results showed that the length of the coastline in Semarang and Demak border coast shows a continuous increase from 48.2, 57.9, 63.7, and 73.5 km in 1984, 1992, 2000, and 2008, respectively to 92.6 km in 2018, and the average annual change rate from 1984 to 1992, 1992 to 2000, 2000 to 2008, and 2008 to 2018 is 1.2 km per year, 0.7 km per year, 1.2 km per year, and 2.1 km per year, respectively. It was concluded that the current coastline condition of Semarang city and Demak district has had an increase of 29.8 km in length and shifted inwards by 0.5-2 km in 2000 – 2018 compared to the original coastline. This shows a deviation of 5-15% from Government Regional Spatial Plan. The study recommends a sustainable coastal management and action plan to be prepared by the government, as it is vital in preserving the coastal regions.

Despite efforts to develop and conserve water resources, almost every year during the dry season, some areas in Central Java province in Indonesia still experience a lack of water, especially in rural villages. These areas require water supply via water trucks and/or portable pumps to obtain water from rivers and groundwater. The Central Java government committed to implementing a program involving the construction of 1000 small reservoirs by 2020 to overcome water shortages. However, the technically ideal sites are mostly privately owned, which requires lengthy and costly land acquisition. To avoid the uncertainty of land acquisition, some small reservoirs were placed on state-owned land, which did not require land acquisition. The consideration of putting more emphasis on state-owned land rather than technically ideal sites for the construction of small reservoirs raise the issue on the location suitability of those reservoirs. In this study, we evaluated the suitability of the location of small reservoirs in the Bodri-Kuto river basin using the monthly standardized precipitation index (SPI). We used rainfall records of 25 stations in the river basin from 2000 to 2016 and analyzed yearly and monthly rainfall data. The yearly analysis shows that the dry conditions (SPI < −0.5) from 2005 to 2009 affected more than half of the rainfall stations (>50%), whereas the rainfall stations that experienced more dry years included Kedung Wungu, Babadan, Bojong, Ketapang, Sekopek, and Podowaras (more than 9 out of 17 years). The monthly SPI shows that during July, August, and September, all the rainfall stations experience moderately dry or worse conditions (SPI < −0.50). Using 25 rainfall stations, we determined the spatial spread of dry conditions using monthly SPI values from July, August, and September. Overlay of the spatial spread of dry conditions with the location of small reservoirs can be used to evaluate the suitability of small reservoir locations. We found that 1 (3%) location is very suitable, 7 (21%) locations are suitable, 24 (73%) locations are moderately suitable, and 1 (3%) location is less suitable. The findings indicate that the spatial distribution of SPI can be used as an additional criterion for evaluating the suitability of small reservoirs’ locations should technically ideal locations be unavailable.