Analisa dan Perancangan Sistem Informasi Manajemen Validasi Data Pembangunan Fiber Optik

<p class="Abstrak">Sistem informasi manajemen menjadi kebutuhan suatu perusahaan atau organisasi untuk membantu kegiatan operasional, memudahkan manajemen dalam melakukan pengawasan dan meningkatkan produktivitas. PT. Telkom Akses merupakan perusahaan yang bergerak dalam bidang penyediaan layanan konstruksi dan pengelolaan infrastruktur jaringan. Permasalahan yang terjadi, dalam memanajemen validasi data hasil pembangunan fiber optik tidak efektif dan tidak termonitor dengan baik, masih dilakukan secara manual tanpa menggunakan sistem, sehingga dengan proses yang berjalan saat ini mengakibatkan adanya data pembangunan yang terlewatkan untuk divalidasi. Order validasi yang tidak tercatat prosesnya secara detail mulai dari order masuk untuk divalidasi, status order, pemberian pelabelan, dan proses pembuatan laporan yang memakan waktu karena dilakukan secara manual dan tidak terupdate secara langsung sesuai dengan kondisi order. Tujuan dilakukannya penelitian ini untuk menghasilkan rancangan sistem informasi yang dapat memanajemen validasi data pembangunan fiber optik pada PT.Telkom Akses, dengan menghasilkan rancangan aplikasi berbasis web yang dapat melakukan pengelolaan setiap order dan menghasilkan keluaran laporan hasil validasi untuk keperluan manager. Penelitian ini menggunakan metode kualitatif dengan tahapan penelitian mulai dari mengidentifikasi masalah dengan menggunakan metode PIECES, studi literatur, pengumpulan data, analisa sistem, dan perancangan sistem menggunakan diagram <em>Unified Modeling Language</em> (UML) dan rancangan <em>prototype </em>antar muka dengan teknil <em>flat design</em>. Hasil evaluasi menggunakan metode <em>consistency analysis</em> menghasilkan persentas 100% yang menunjukan bahwa rancangan sistem informasi sudah sesuai dengan kebutuhan dan diharapkan dapat dilakukan implementasi perangkat lunak sistem informasi manajemen validasi data pembanguan fiber optik.</p><p> </p><p><strong><em>Abstract</em></strong></p><p class="Abstract"><em>Management information systems become a necessity for a company or organization to assist operational activities, facilitate management in conducting supervision and increasing productivity. PT. Telkom Akses is a company engaged in providing construction services and network infrastructure management. Problems that occur, in managing the validation of the results of the construction of optical fiber are not effective and not monitored properly, still done manually without using a system, so that the current process resulted in the development of data that is missed for validation. Order validation is not recorded in detail, starting from the entry order to be validated, order status, labeling, and the time-consuming process of reporting because it is done manually and is not updated directly according to the conditions of the order. The purpose of this research is to produce an information system design that can manage the validation of optical fiber development data at PT. Telkom Access, by producing a web-based application design that can manage every order and produce outputs of the validation results for the manager's needs. This study uses qualitative methods with stages of research ranging from identifying problems using the PIECES method, literature study, data collection, system analysis, and system design using Unified Modeling Language (UML) diagrams and interface prototype design with flat design techniques. The results of the evaluation using the consistency analysis method yielded a 100% percentage which showed that the design of the information system was in accordance with the needs and it was hoped that the implementation of the management information system software for the validation of fiber optic data development.</em></p>

Testing the Assumption of Behavioural Consistency in a New Zealand Sample of Serial Rapists

<p>One of the assumptions that underlies the profiling process is that criminals are behaviourally consistent from one offence to another. To date, however, this is an assumption that has not been scientifically validated. The present study therefore tested the assumption of behavioural consistency in serial rape offences. The author collected dichotomous data on 30 behavioural variables for a total of 439 offences committed by 121 serial rapists in New Zealand. There were two main research aims of the study. The first aim was to test the behavioural consistency of a range of individual behaviours. It was hypothesised that higher consistency would be found for behaviours that reflected a degree of planning or that prioritised control of the victim and the offence environment, because these behaviours might be less affected by environmental factors. In contrast, many sexual behaviours arise directly out of offender-victim interactions and therefore are most affected by environmental factors such as victim resistance. It was therefore also hypothesised that sexual behaviours would display lower consistency. A consistency measure was used that compared behaviour in consecutive offences. Consistency for each behaviour was defined as present-present or absent-absent matches of that behaviour in consecutive offences. The degree of consistency for any behaviour will be reflected in the consistency score received by that variable based on the number of matches for that behaviour across the offence series. The consistency analysis found moderate to high levels of consistency for the majority of individual behaviours. As predicted, higher consistency was exhibited for behaviours that prioritised control of the victim and the offence environment, and lower consistency was exhibited for the sexual behaviours. The second research aim was that if behavioural consistency was found in the results of the consistency analysis, to explore whether there were any underlying patterns to the consistency of offending behaviour. A factor analysis of the consistency scores established that there are clear patterns to the behavioural consistency of offenders consistent with previous analysis of offence characteristics. The factor analysis resulted in three themes or domains to behaviour: hostility, involvement and control. These findings have theoretical implications for the assumption of behavioural consistency in serial rapists, for the concepts of modus operandi and signature in offence behaviour, and for the theoretical understanding of the profiling process. The findings also have practical implications for the practice of profiling and case linkage in New Zealand, and raise possibilities for future directions in research.</p>

Testing the Assumption of Behavioural Consistency in a New Zealand Sample of Serial Rapists

<p>One of the assumptions that underlies the profiling process is that criminals are behaviourally consistent from one offence to another. To date, however, this is an assumption that has not been scientifically validated. The present study therefore tested the assumption of behavioural consistency in serial rape offences. The author collected dichotomous data on 30 behavioural variables for a total of 439 offences committed by 121 serial rapists in New Zealand. There were two main research aims of the study. The first aim was to test the behavioural consistency of a range of individual behaviours. It was hypothesised that higher consistency would be found for behaviours that reflected a degree of planning or that prioritised control of the victim and the offence environment, because these behaviours might be less affected by environmental factors. In contrast, many sexual behaviours arise directly out of offender-victim interactions and therefore are most affected by environmental factors such as victim resistance. It was therefore also hypothesised that sexual behaviours would display lower consistency. A consistency measure was used that compared behaviour in consecutive offences. Consistency for each behaviour was defined as present-present or absent-absent matches of that behaviour in consecutive offences. The degree of consistency for any behaviour will be reflected in the consistency score received by that variable based on the number of matches for that behaviour across the offence series. The consistency analysis found moderate to high levels of consistency for the majority of individual behaviours. As predicted, higher consistency was exhibited for behaviours that prioritised control of the victim and the offence environment, and lower consistency was exhibited for the sexual behaviours. The second research aim was that if behavioural consistency was found in the results of the consistency analysis, to explore whether there were any underlying patterns to the consistency of offending behaviour. A factor analysis of the consistency scores established that there are clear patterns to the behavioural consistency of offenders consistent with previous analysis of offence characteristics. The factor analysis resulted in three themes or domains to behaviour: hostility, involvement and control. These findings have theoretical implications for the assumption of behavioural consistency in serial rapists, for the concepts of modus operandi and signature in offence behaviour, and for the theoretical understanding of the profiling process. The findings also have practical implications for the practice of profiling and case linkage in New Zealand, and raise possibilities for future directions in research.</p>

Research on simulation model validation based on probability relational analysis

The most basic and direct method for simulation model validation is to compare the consistency of missile flight data and simulation data under the same input conditions. However, the existing dynamic data consistency analysis methods are mainly suitable for the case between 1-D missile flight data and 1-D simulation data, and do not conform to the consistency test of single sample flight data and multi-sample simulation data in equipment qualification/finalization test. To solve this problem, a simulation model validation method based on probabilistic relational analysis is proposed. The consistency of output data is measured from the two scales of probability relational coefficient and probability relational degree. The probability relational coefficient is determined by calculating the cumulative distribution probability value of real missile flight samples in the distribution function constructed by simulation data. The probability correlation degree is calculated by judging whether the probability relational coefficient satisfies the uniform distribution of[0 1]. The consistency analysis problem of a kind of dynamic data association is solved accordingly. The correlation theorem that the probability relational degree must satisfy and its property are proved. Meanwhile the operation steps of simulation model verification based on probability correlation analysis are given. This method can process all multi-dimensional simulation data at the same time, and integrate the random factors in the test process, so it can make full use of the test information under the condition of small sample flight test, and improve precision and the reliability of simulation model verification. The rationality and validity of this method are further verified by numerical tests and application examples.