Penentuan Bantuan Siswa Miskin Menggunakan Fuzzy Tsukamoto Dengan Perbandingan Rule Pakar dan Decision Tree (Studi Kasus : SDN 37 Bengkulu Selatan)

<p>Penelitian penentuan calon bantuan siswa miskin ini di Sekolah Dasar Negeri 37 Bengkulu Selatan. Masalah yang terjadi ada ketidaksesuaian dari hasil output dalam pemberian bantuan siswa miskin, belum digunakannya metode keputusan untuk setiap kriteria dan masih menggunakan penilaian prediksi atau perkiraan untuk calon penerima bantuan. Metode penelitian yang dilakukan menggunakan Fuzzy Tsukamoto dengan perbandingan dua metode yaitu rule pakar dan Decision Tree SimpleCart. Tahapan penelitian ini dimulai dengan menganalisis output dengan melakukan seleksi dari sejumlah alternatif hasil, kemudian melakukan pencarian nilai bobot setiap atribut dari Fuzzy Tsukamoto dengan metode perbandingan rule pakar dan Decision Tree SimpleCart. Selanjutnya menentukan parameter batasan fungsi keanggotaan fuzzy meliputi kartu perlindungan sosial, nilai rata-rata raport, tanggungan, penghasilan orang tua, prestasi dan kepemilikan rumah. Analisis hasil yang diperoleh dari pengujian terhadap 75 data siswa dan telah dilakukan klasifikasi menggunakan Fuzzy Tsukamoto didapatkan hasil akurasi dengan metode rule pakar sebesar 72% dan metode Decision Tree SimpleCart sebesar 76%. Hasil akurasi tersebut di simpulkan bahwa metode Decision Tree SimpleCart mempunyai tingkat akurasi yang lebih tinggi dari metode rule pakar sehingga lebih mampu dalam menyeleksi serta mencari nilai bobot penentuan bantuan siswa miskin. </p><p> </p><p><em><strong>Abstract</strong></em></p><p><em>Research on the determination of candidates for assistance from poor students in South Bengkulu 37 Primary School. The problem that occurs is there is a mismatch of the output results in the provision of assistance to poor students, the decision method has not been used for each criterion and is still using predictive or estimated assessments for prospective beneficiaries. The research method used was Fuzzy Tsukamoto with a comparison of two methods, namely expert rule, and SimpleCart Decision Tree. The stages of this research began by analyzing the output by selecting many alternative results, then searching for the weight value of each attribute from Fuzzy Tsukamoto with the method of expert rule comparison and the SimpleCart Decision Tree. Next determine the parameters of the fuzzy membership function limit includes social protection cards, the average value of report cards, dependents, parents' income, achievements, and homeownership. Analysis of the results obtained from testing of 75 student data and classification using Fuzzy Tsukamoto has obtained accuracy with the expert rule method by 72% and the SimpleCart Decision Tree method by 76%. The accuracy results are concluded that the SimpleCart Decision Tree method has a higher level of accuracy than the expert rule method so that it is better able to select and search for the weighting value of determining the assistance of poor students.</em></p><p> </p>

How to Read James Fitzjames Stephen: Technocracy and Pluralism in a Misunderstood Victorian

This paper offers a new reading of the political thought of the mid-Victorian jurist and intellectual James Fitzjames Stephen. Contrary to impressions of Stephen as a conservative or religious authoritarian, this article recognizes the liberal character of Stephen’s thought, and it argues that investigating Stephen’s liberalism holds lessons for us today about the structure of liberal theory. Stephen, the paper demonstrates, articulated robustly both technocratic and pluralistic visions of politics. Perhaps more stridently than any Victorian, he put forward an argument for the necessity and legitimacy of expert rule against claims for popular government. Yet he also insisted on the plurality of perspectives on public affairs and on the ineluctable conflict between them. Because both of these facets existed in his work, he fit within the liberal ranks, but he did not show how the two dimensions fit together. The tension that we discover from reading Stephen is, the article concludes, not peculiar to him, but a permanent feature of liberal theories, which always include both technocratic and pluralistic elements.

Brottsprevention i straffvälfärdspolitikens tid – Samverkanstankens historiska rötter

Cooperation between authorities is a central part of present-day crime prevention in Sweden. At the same time, the idea of cooperation has an extensive heritage within Swedish welfare policy. The purpose of this article is to trace the trajectory of crime prevention and in particular the idea of cooperation as a crime policy solution. Dating back to the post-war decades, cooperation between authorities in an effort to tackle youth crime has also been in line with David Garland’s concept of penal welfarism. While Garland mainly focuses on penal institutions and penal law rather than prevention, cooperation in Sweden shares several characteristics with penal welfarism such as the optimistic belief in expert rule and individualized treatment. The professional expertise that colonized the field of criminal justice was an equally prominent feature of how schools would prevent crime. Against this background I also discuss whether or not the concept of the preventive turn is applicable to the trajectory of crime prevention in Sweden. My conclusion is that the development of crime prevention is best understood as a continuous process dating back to the post-war era’s focus on youth crime, as opposed to a break.

Well log data analytics: overview of applications to improve subsurface characterisation

Wireline log datasets complemented with core measurements and expert interpretation are vital for accurate reservoir characterisation. In many cases, effective use of this information for predicting rock properties requires application of advanced data analytics (DA) techniques. We developed non-linear prediction models by combining data- and knowledge-driven methods. These models were used for predicting total organic carbon and electro-facies from basic wireline logs. Four DA approaches were utilised: unsupervised, supervised, semi-supervised and expert rule based. The unsupervised approach implements ensemble clustering for detecting variations in sedimentary sequences of the subsurface. The supervised approach predicts rock properties from well logs by applying ensemble learning that requires core data measurements. The semi-supervised approach builds a decision tree for iterative clustering of well logs to locate a specific facies and uses criteria determined by a petrophysicist for making decisions at each tree node whether to continue or stop the partitioning. The expert rule based approach combines clustering techniques at individual wells with an expert’s methodology of interpreting facies to determine field-wide rock characterisation. Here we overview the developed models and their applications to log data from offshore and onshore Australian wells. We discuss the deep thinking–shallow learning versus shallow thinking–deep learning approaches in reservoir modelling and highlight the importance of close collaboration of data analysts with domain experts.

Look-up table based fuzzy controller in order to control steaming room process

Introduction: In this paper, using look-up table control strategy,a fuzzy logic controller is designed for controlling the temperatureof steaming room in terrazzo tile plant corresponding to dedicatedprocess diagrams. Methods: In the proposed method, the temperature and error of temperature are considered as inputs to controlthe duration of valve open time to decrease the activation times ofvalves in order to increase their longevity. The strategy considersan off-line trained look-up table for setting the time of openingvalve in the specific temperature. A fuzzy controller with fifteen extracted rules is designed for controlling the duration of valve opentime. Results: Results show that the number of switching of valvereduces compare to intuitionistic or expert rule extraction. Conclusions: Simulations provide more compatible steaming process routcompare to PID controllers.

Axum Stele

This chapter engages with the Axum Stele (or Obelisk, as it is popularly known), a large monument that originally sat in Axum, Ethiopia, as a memento of an old and powerful civilization. In the Italian Conquest of Ethiopia, it was taken to Rome by Mussolini’s troops, and it stood for several years in front of the Italian Ministry of the Colonies. Eventually, the monument was returned to Ethiopia, in a negotiation involving not only the governments of Italy and Ethiopia, but also, most notably, UNESCO and the African Union. This chapter examines discourses around the restitution, reassembly, and ‘reinauguration’ of the Stele in Ethiopia, as a means to showcase the ways international law interacts with the social life of an object, and particularly the field of international cultural heritage law, highlighting tensions involving colonialism, internationalism, expert rule, and the uses of internationalized objects in domestic politics.