IntisariPenelitian untuk deteksi aritmia pada elektrokardiogram dengan metode Jaringan Syaraf Tiruan (JST) Multilayer Perceptron-Backpropagation (MLP-BP) kelas jamak menggunakan fitur interval RR, interval QRS, serta gradien gelombang R telah berhasil dilaksanakan. Tipe aritmia yang dideteksi dalam penelitian adalah Premature Ventricular Contraction (PVC), Premature Atrial Contraction (PAC), dan Left Bundle Branch Block (LBBB). Pada penelitian ini dilakukan variasi jumlah fitur sebagai masukan JST, yaitu tiga macam fitur dan dua macam fitur. Hasil penelitian terbaik ditunjukkan pada variasi tiga macam fitur (interval RR, interval QRS, gradien gelombang R ) dengan kinerja berupa sensitivitas, spesifisitas, serta akurasi cukup baik yaitu 94,63%, 93,94%, serta 94,49%. AbstractResearch for arrhythmias detection using Multilayer Perceptron-Backpropagation (MLP-BP) Artificial Neural Network (ANN) multiclass method has been successfully implemented. It utilized RR interval, QRS width, and R wave gradient features. Arrhythmia types used in this study were Premature Ventricular Contraction (PVC), Premature Atrial Contraction (PAC), and Left Bundle Branch Block (LBBB). This study was conducted by varying features number as the input of ANN. The variation includes two and three kinds of features. The best results were found when three features were included. The best performance were 94.63%, 93.94%, and 94.49% in terms of sensitivity, sprcificity and accuracy, respectively.KATA KUNCI: Arrythmia, artificial neural network, electrocardiogram (ECG)

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The purpose of this study was to describe the process of students' mathematical connections in solving mathematical problems in terms of learning styles. The type of research used is descriptive research with a qualitative approach. The research subjects were six students consisting of two students who have a visual learning style, two students who have an auditory learning style, and two students who have a kinesthetic learning style. Student learning style data were collected through learning style questionnaires, while student connection process data were collected through mathematical connection test sheets and interviews. Data credibility is done by triangulating sources and methods. Data from the six subjects consisting of two students for each of these learning styles were described and categorized from the same, different, and specific views. The subjects obtained from the results of the learning style questionnaire were compared using the results of the mathematical connection test and interviews. Data analysis was guided by four steps to solve Polya's problems and was carried out in three stages, namely data condensation, data presentation, and conclusions. The results showed that there are differences in the mathematical connection process carried out by students who have visual, auditory, and kinesthetic learning styles in the step of understanding the problem. However, there are similarities in the mathematical connection process carried out by students who have visual and kinesthetic learning styles at the step of compiling a completion plan and checking again. while students who have a different auditory learning style from students who have visual and kinesthetic learning styles in implementing the completion plan and re-checking. The process of mathematical connection of students who have an auditory learning style at the step of checking back cannot be seen, because these students do not take this step when solving problems. Researchers suggest that teachers need to accustom students to connecting mathematics both internally and externally and pay attention to the emphasis of the material given to students so that students' mathematical connections are more developed. because the student did not take this step when solving the problem. Researchers suggest that teachers need to accustom students to connecting mathematics both internally and externally and pay attention to the emphasis of the material given to students so that students' mathematical connections are more developed. because the student did not take this step when solving the problem. Researchers suggest that teachers need to accustom students to connecting mathematics both internally and externally and pay attention to the emphasis of the material given to students so that students' mathematical connections are more developed.

This paper proposes a new technique for detecting atrial fibrillation (AF). The method employs electrocardiographic features and support vector machine (SVM). The features include descriptive statistics of electrocardiographic RR interval. The RR interval is the distance in time between two consecutive R-peaks of electrocardiogram. AF detections using SVM with different electrocardiographic features and different SVM free parameters are explored. Employing SVM with the optimal free parameters and all the proposed electrocardiographic features, we find an AF detection technique with a comparable performance. The best performance obtained by the technique is 98.47% and 97.84%, in terms of sensitivity and specificity.

PT. Educational Development Consultant (EDC) adalah salah satu perusahaan yang memiliki jenis bisnis dibidang jasa yang hampir menyambangi dan membantu yayasan atau perguruan tinggi untuk melakukan pendirian serta pengembangan pada suatu perguruan tinggi. Sebagai salah satu perusahaan yang bergerak sejak tahun 2018 PT EDC berusaha mempertahankan dan bahkan lebih meningkatkan kualitas produk serta pelayanan yang mengusung tema cepat, tuntas dan puas maka yang dihasilkannya sehingga mampu bertahan dan mampu mengembangkan produk. Untuk hal ini, keputusan yang diambil oleh seorang pemimpin sangat berpengaruh terhadap keberhasilan suatu organisasi untuk mencapai tujuannya, dan diperlukan metode yang tepat untuk menganalisis faktor-faktor objektif itu mempengaruhi keberhasilan atau kegagalan dalam mencapai tujuan tersebut. Metode Critical Success Factors (CSF) dan Analisis CSF digunakan oleh PT EDC untuk menginterpretasikan objek secara lebih jelas, mendefinisikan aktivitas, dan melakukan setiap informasi yang dibutuhkan. CSF dapat ditentukan apakah tujuan atau arah dan tujuan organisasi telah diidentifikasi. Selain CSF, analisis Rantai Nilai juga digunakan sejalan dengan analisis CSF yang berguna untuk mengidentifikasi proses yang paling kritis, dan memberikan fokus pada pencapaian tujuan melalui tindakan atau proses yang paling tepat untuk dilaksanakan. Sedangkan analisis SWOT mengidentifikasi peluang dan ancaman eksternal serta kekuatan dan kelemahan internal. Matriks strategi TOWS membantu manajer mengembangklan empat tipe strategi yaitu strategi SO (Strengths-Opportunities), strategi WO (Weakness-Opportunities), strategi ST (Strengths-Threaths) dan strategi WT (Weakness-Threaths).