<p class="0abstract">In this report, we perform the digital filter computation using Matlab for Wi-Fi tracking application. This work motivates to improve the accuracy of filter algorithm in the RSSI-based distance localization system. There are several aspects that we can improve, e.g., in the Filter part and Path-loss model. But, in this work, we focus on filter part; Unscented Kalman Filter (UKF) is implemented to replace linear Kalman Filter (KF), which is used in previous work. Based on the performance comparison, UKF has 90% hit ratio while linear KF has only 81.15 % hit ratio. We found that UKF can handle the noise in RSSI. Further work, the UKF algorithm is then embedded on the server system.</p>

In this short paper, we prove that smartphones connected to Wi-Fi can be detected (scanned) easily with a Raspberry Pi help. According to the observation, the smartphone eventually broadcasts some packets of data containing MAC layers data. The period of broadcasting data depends on the smartphone’s state (active scanning/sleep). Besides MAC layers data, we also detect/capture other parameters, i.e., wireless signature data transmitted by smartphone (RSSI) and Time-stamp. The RSSI value measured in this test has a range from –30 dBm to –80 dBm. The result proves that different smartphones give different RSSI values (each smartphone emits different power strength). The RSSI value has more significant changes in a short-range (in this test result, 1 to 10 meters) and less significant change in a long-distance (above 20 meters). MAC address, time-stamp, and RSSI scanned/captured successfully through Raspberry Pi from the smartphones can be used as a reference for various purposes/applications in future work, such as Wi-Fi scanning/tracking system.

PENGELOLAAN KEBERSIHAN DAN KESEHATAN LINGKUNGAN MASYARAKAT KALICARI KECAMATAN PEDURUNGAN KOTA SEMARANG

Education is an important factor in developing human resources as development actors take advantage of the potential of natural, social, and economic resources in rural areas in the form of green schools. The purpose of this research is to design a model of green-school education as community development in rural areas. The research used Participatory Learning and Action (PLA) with direct observation, analysis of documentation, open interviews, and Focus Group Discussions (FGD). Determination of research locations at the "Green Kids" School educational institutions in Sokaraja and the Baturaden Green School of Banyumas Regency, Central Java of Indonesia. Research informants were determined by purposive sampling consisting of foundation administrators, teachers or teachers and students, educational leaders, educational activists or activists, experts, and educational practitioners. The research analysis uses verification analysis and data triangulation to reduce, classify and design models. The results (1) Education can be designed with a curriculum based on the natural, social and cultural potential of the community in the form of a green school institution. (2) Green-School is very important in utilizing, preserving, and developing the potential of natural resources such as agriculture, animal husbandry, fisheries, plantations, and forestry which are the uniqueness and advantages of rural communities.

No abstract