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"Can library programs and services make a difference in your young patrons lives? Measuring outcomes is the way to find out! Incorporating outcome-based planning and evaluation is critical when developing new programs and services."

"Indonesia menempati peringkat ke-4 di dunia sebagai negara dengan kasus tuberkulosis terbanyak, setelah India, China, dan Afrika Selatan (WHO,2012). Upaya yang dilakukan untuk mengendalikan kasus tuberkulosis adalah menerapkan strategi pengobatan Direct Observed Treatment Shortcourse (DOTS) dalam waktu 6-9 bulan. Membangun sebuah model agar dapat memprediksi hasil pengobatan tuberkulosis sangat dibutuhkan untuk membantu para tenaga medis untuk mensupervisi setiap pasien berdasarkan kondisinya dan status resikonya. Penelitian ini menggunakan metode dynamic bayesian networks. Metode dynamic bayesian networks juga digunakan untuk mengidentifikasi independensi variabel pada penyakit tuberkulosis. Dalam penelitian software CaMML versi 1.4.1 digunakan untuk membangun struktur graf dynamic bayesian networks dan package Netica J-API yang berbasis Java untuk memvisualisasikan serta evaluasi graf. Evaluasi dilakukan dengan mengukur nilai akurasi dengan membentuk matriks konfusi dan menghitung logarithma loss. Tingkat akurasi struktur graf dalam memprediksi hasil pengobatan tuberkulosis sebesar 76,47% pada eksperimen 1 dan 100% pada eksperimen 2. Hal ini menunjukkan bahwa struktur graf yang terbangun dapat digunakan untuk model dalam mengidentifikasi keterkaitan variabel dalam data pengobatan TB. Selain itu, identifikasi hubungan variabel hasil pengobatan tuberkulosis dengan variabel data yang lain bersifat dependen atau indepeden dapat dilakukan melalui struktur dynamic bayesian networks dengan menggunakan algoritma d-separation.

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Indonesia ranks 4th in the world as the country with the most cases of tuberculosis, after India, China, and South Africa (WHO, 2012). Efforts to control tuberculosis cases are implemented by the Direct Observed Treatment Shortcourse (DOTS) treatment strategy within 6-9 months. Building a model that can predict the outcome of tuberculosis treatment is needed to help the medical staff to supervise each patient based on the condition and status of the risk. This research use dynamic Bayesian networks method. Dynamic bayesian networks method is also used to identify independency of the variables on tuberculosis treatment data.

In this research, CaMML version 1.4.1 software is used to construct the graph of dynamic bayesian networks and Java based Netica-J API package is used to visualize and evaluate the graph. For evaluation, this research measure the value of accuracy obtained from a confusion matrix and calculate the logarithmic loss. In the first experiment, accuracy prediction of graph structure is 76,47% and in the second experiment the accuracy prediction is 100%. The result can be used as the model to identify the independency of variables in tuberculosis treatment data. In addition, identification of the relationship between tuberculosis treatment outcome variable and other variables are dependent or independent can be known using d-separation algorithm."

"How do you show that your training and performance improvement program meets the needs of the learners and the organization? This issue will show you how. You will find an easy-to-follow, eight-step process to assist you in planning for and getting results at the end of any performance or training intervention. The helpful tips, tools, and worksheets provided will enable you to save time and money, improve the quality and quantity of your data, ensure that all stakeholder groups are addressed, and fine-tune your budgeting process."

"Data replication by employing quorum systems is an important concept to improve operation availability on data objects in distributed systems that have strong data consistency demands. These data replication schemes must be modeled and carefully evaluated with respect to different quality measures. Christian Storm addresses the former by a uniform data replication scheme specification method and realizes the latter by a comprehensive approach to the analytical evaluation of quorum-based data replication schemes. The system model allows to evaluate operation availability and other quality measures for the write as well as for the read operation."

"Abstract. The study aims to analyze the evaluation of e-KTP program implementation. The usage of electronic identity (e-ID/e-KTP) provides several benefits for users, private institutions, and the government, hence encouraging many countries to implement such program. In 2009, Indonesia launched the e-KTP program as a National Identity Card, by pointing six districts/municipalities as a pilot project. e-KTP is a demographic document containing security or controlling system—both administration as well as information technology based on national population database. Each citizen may only have one KTP with one Resident Registration Number (NIK)—as a single identity for each resident, valid for life. In 2011, DKI Jakarta, as the capital of Indonesia, has implemented the e-KTP program. The research used qualitative method to describe the phenomenon, classify and evaluate it, by taking the administrative-village (Kelurahan) of Pondok Pinang, Kebayoran Lama Sub-district in South Jakarta and Duri Kepa, Kebon Jeruk Sub-district in West Jakarta as the case study. The result shows that the implementation of the policy still have shortages, particularly related to major resources, such as limited technical resources and human resources to operate the e-KTP program. The problems need to be evaluated in order to improve the success of dynamic and updated e-KTP program in the future.Abstrak. Kajian ini bertujuan untuk menganalisis evaluasi program e-KTP. Penggunaan electronic identity (e-ID) memberikan beberapa manfaat bagi pengguna serta untuk swasta dan pemerintah, yang mendorong banyak negara untuk menerapkannya. Indonesia sendiri baru tahun 2009 meluncurkan program e-KTP sebagai kartu identitas nasional dengan menjadikan 6 Kabupaten/Kota sebagai pilot project KTP Elektronik atau e-KTP. e-KTP adalah dokumen kependudukan yang memuat sistem keamanan atau pengendalian—baik sisi administrasi maupun teknologi informasi dengan berbasis database kependudukan nasional. Penduduk hanya diperbolehkan memiliki satu KTP yang tercantum Nomor Induk Kependudukan (NIK)—sebagai identitas tunggal setiap penduduk dan berlaku seumur hidup. Pada tahun 2011, di DKI Jakarta sebagai ibukota Indonesia, telah menerapkan program e-KTP. Penelitian ini menggunakan metode kualitatif untuk menggambarkan fenomena, mengklasifikasikan dan melihat evaluasi bagaimana analysis pelaksanaan e-KTP Program, dengan studi kasus di Kelurahan Pondok Pinang Kecamatan Kebayoran Lama Jakarta Selatan dan Kelurahan Duri kepa Kecamatan Kebon Jeruk Jakarta Barat. Hasilnya menunjukkan bahwa implementasi kebijakan masih ditemui banyak kekurangan di mana masalah program e-KTP terkait dengan sumber daya utama seperti keterbatasan sumber daya teknis dan sumber daya manusia yang terbatas untuk mengoperasikan program e-KTP. Masalah ini perlu dievaluasi dalam rangka meningkatkan program e-KTP di masa depan agar dinamis dan mutakhir"