Graduation of the course is a reflection of the seriousness of individual students every semester of the lecture. Students who attend all the learning process in the classroom or face-toface in each course will have more chance to graduate than the students who are rarely present, some lecturer's evaluation of the graduation of the course are attendance, task, UTS and UAS. From the above problem the writer tries to get the appropriate algorithm to determine the graduation of each student's course, this research will use the data mining classification technique with 3 methods of classification algorithm such as Algorithm C4.5 (decision tree), Naïve Bayes, and Random Forest with label result pass or not pass. Based on the results of tests conducted using the same dataset on the 3 algorithms through comparison to the value of AUC and Confusion Matrix, obtained the value of Area Under Curve (AUC) of 1,000 from Naïve Bayes model, while the largest Accuracy or Confusion Matrix value is in C4 algorithm .5 (decision tree) with a value of 97.78%. Thus, the proper algorithm for this case is the C4.5 Algorithm (decisiontree).
Perancangan Aplikasi Sistem Informasi data produksi, bertujuan untuk mempermudah dalam mengelola data produksi yang terdapat pada PT. Shiroki Indonesia, sehingga pendataan menjadi efektif, efisien, tepat guna, dan dapat membantu menyelesaikan permasalahan yang berkenan dengan pengelolaan data produksi PT. Shiroki Indonesia. Metode penelitian yang digunkan untuk perancangan aplikasi data produksi ini adalah metode penilitian kualitatif dan metode pengumpulan data dengan cara pengenalan langsung (observasi). Selain itu penulis juga melakukan penelitian dengan metode kepustakaan berdasarkan refrensi dan berbagai media yang memuat informasi yang dibutuhkan, menganalisa kebutuhan , perancangan, pengujian, dan implementasi sistem. Perancangan Aplikasi data produksi ini tercipta dengan dukungan bahasa pemrograman Java dan database MySql Designing Production Data Information System Application, aims to make it easier to manage production data contained in PT. Shiroki Indonesia, so that the data collection becomes effective, efficient, effective, and can help solve problems that are pleased with the management of PT. Shiroki Indonesia. The research method used for the design of production data applications is a qualitative research method and data collection methods by direct recognition (observation). In addition, the authors also conduct research with library methods based on references and various media that contain information needed, analyze needs, design, test, and implement systems. The design of this production data application was created with the support of the Java programming language and MySql database.
Implementasi teknologi sistem informasi memberikan dampak dalam segala aspek kehidupan manusia, yaitu cara berkomunikasi manusia yang awalnya bersifat konvensional menjadi digital. Email merupakan layanan yang disediakan sistem teknologi informasi sebagai sarana untuk bertransaksi informasi di dunia digital. Berkomunikasi menggunakan e-mail memiliki banyak kelebihan namun di sisi lain rentan terhadap kegiatan digital attacker, seperti penyadapan. Security adalah kunci untuk pengamanan informasi yang dibawa oleh e-mail. PT. TAMMAR FRASTI merupakan organisasi yang bergerak di bidang bisnis yang menangani infrastruktur Teknologi Informasi di kalangan perusahaan swasta, yang mana kesehariannya informasi rahasia ditransaksikan menggunakan e-mail online. S/MIME merupakan salah satu alternatif pengamanan yang dapat diimplementasikan pada e-mail. Hasil akhir dari penelitan ini berupa rancangan implementasi protokol S/MIME pada layanan e-mail bagi PT. TAMMAR FRASTI yang menerapkan teknik kriptografi berupa tanda tangan digital dan/atau enkripsi yang terbukti dapat memenuhi aspek keamanan informasi. Dengan mengimplementasikan S/MIME, aspek information security seperti confidentiality, integrity, authentication dan nonrepudiation yang diharapkan oleh PT. TAMMAR FRASTI menjadi sukses.
Information technology continues to innovate and has the opportunity to grow further. One of the developments in information technology can be used as a means of performance evaluation is the Analytical Network Process (ANP) method. The assessment technique in this study is based on an assessment technique with a weighting assessment rule with a percentage distribution and a clearer weighting assessment rule. The Analytic Network Process (ANP) and Super Decision Software methods can be used to assess the performance of lecturers at the University. Lecturer performance appraisal process consists of several assessment criteria namely Pedagogy, Professional, Personality, and Social. The method used in sampling is a purposive sample (intentionally) with the best 5 to 10 lecturers that will be assessed by students. Respondents in this case students were taken randomly. Lecturer performance is weighted to produce a percentage for lecturer performance appraisal. This research resulted in a system in the form of percentage assessment or performance ranking of lecturers, this needs to be done so that research can produce an optimal decision that can be used as a decision support system as an assessment of the performance of lecturers at the university.
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