Penerapan Importance Performance Analysis (IPA) Untuk Mengukur Kualitas Indeks Kepuasan Masyarakat (IKM) Layanan Balai Besar Inseminasi Buatan Singosari-Malang

This study aims to (1) know and analyze the quality and service satisfaction on Artificial Insemination (AIC) Singosari based application Importance Performance Analysis (IPA), (2) to determine the quality of people's satisfaction on service Center for Artificial insemination (AIC) Singosari by Community Satisfaction Index (HPI). The study used a descriptive quantitative survey methods. The population is at BBIB Singosari service users. Acidental samples using sampling techniques with the number of respondents 150 people. Mechanical data using questionnaires and interviews. The analysis is IKM, Gap Analysis and IPA. The results showed: (1) Elements of SME value interests quality levels; A conversion 3,946 SMEs; 98.65, very high SME category means satisfactory service. The level of quality performance IKM value; 4.256 conversions; 106.4, category Very important, so the intervals above 100.00 on a performance level of "A" / Very Good. (2) The results of the study of Interest and Performance with priority mapping IPA there are aspects that need to be improved to make it better. That is; realiability, performance conformity -1.1, -0.1 tangibles, empathy suitability -0.4 performance. To obtain follow-priority repairs by BBIB Singosari.

PBQM: A PRIORITY-BASED QUEUE MANAGEMENT METHOD FOR WIRELESS SENSOR NETWORKS

Event detection is important in many sensor network applications. Traffic in these applications exhibits a many-to-one pattern, in which multiple source nodes send sensing data to a single sink node. Since bandwidth and storage capacity is highly constrained in sensor networks, packet loss is inevitable when a great deal of traffic rushes to sink. Based on the observation that the packets are not equal in the serving of event detection, we propose to employ priority-based queue management method (PBQM) to improve packet delivery ratio of more important packets. We put forward three priority mapping schemes and evaluate the performance of PBQM method by simulation with Ns-2.