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All Journal Faktor Exacta STRING (Satuan Tulisan Riset dan Inovasi Teknologi) JISICOM (Journal of Information System, Infomatics and Computing) Journal of Information System, Applied, Management, Accounting and Research Jurnal Riset dan Aplikasi Mahasiswa Informatika (JRAMI) Jurnal Rekayasa Komputasi Terapan

Nahot Frastian

Universitas Indraprasta PGRI

Author-ID : 2425570

Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Industrial & Manufacturing Engineering Mathematics

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Komparasi Algoritma Klasifikasi Menentukan Kelulusan Mata Kuliah Pada Universitas Nahot Frastian; Senna Hendrian; V.H. Valentino
Faktor Exacta Vol 11, No 1 (2018)
Publisher : LPPM

Abstract. 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-to-face 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).Keywords: Course graduation, data mining classification, Algorithm C4.5 (decision tree), Naïve Bayes, and Random Forest.

Sistem Pendukung Keputusan Kinerja Dosen Menggunakan Metode Analytical Network Process (Anp) Pada Universitas Nahot Frastian; Dona Katarina; Heriyati Heriyati
Faktor Exacta Vol 11, No 3 (2018)
Publisher : LPPM

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.Keywords: decision support system, analytical network process (ANP), lecturer.

PERANCANGAN APLIKASI BERBASIS WEB PADA KANTOR/LEMBAGA SWADAYA MASYARAKAT (LSM) INDONESIA MEMBANGUN NAHOT FRASTIAN
Faktor Exacta Vol 5, No 2 (2012)
Publisher : LPPM

Artikel ini membahas perancangan aplikasi berbasis web pada kantor/Lembaga Swadaya Masyarakat (LSM) Indonesia Membangun ini adalah untuk mempermudah dalam mengelola data pada kantor LSM IM, agar pekerjaan menjadi efektif dan efisien, selain itu perancangan ini dapat membantu menyelesaikan permasalahan pekerjaan yang berkenan dengan pengolah data dapat terselesaikan dengan cepat, tepat, akurat guna mengefesiensikan waktu pekerjaan. Metode penelitian yang digunakan dalam perancangan aplikasi berbasis web ini adalah studi lapangan yaitu dengan pengamatan langsung, wawancara degan pihak terkait dan juga dengan melakukan dokumentasi untuk mendapatkan informasi yang dibutuhkan. Selain itu penulis juga melakukan penelitian dengan metode kepustakaan berdasarkan referensi dan berbagai diskusi serta dari berbagai media yang memuat informasi yang dibutuhkan, menganalisa kebutuhan, perancangan, implementasi, dan pengujian. Setelah dilakukan pengujian ternyata aplikasi berbasis web dapat memenuhi kebutuhan akan suatu proses pelayanan pada kantor LSM IM yang cepat dan akurat serta efektif dan efisien. Aplikasi pencarian data pada kantor LSM IM ini tercipta dengan dukungan bahasa pemograman WEB PHP serta database MYSQL.

Co-Authors Al Gunsi Anindia Bella Amalia Rizki Annisa Ika Aulia Asril Delvianti Wau Citra Fadliani Didik Nur Huda Dona Katarina Dwi Agung Laksono Eddy Saputra Edy Nugroho Fahri Adi Sodikin Farkhatin, Naely Fery Rahmawan Asma Fitriansyah Fitriansyah Gozali, Nabila Fiqih Hasto Wibowo Hendrian, Senna Heriyati Heriyati Irma Yuda Budiarti Ivan Arsiyansyah Jumadi Jepri Meylana Dwi Sitawati Michael Sonny Michael Sonny Mohamad Jamal Lutfi Muhammad Bagir Muhammad Bahtiar Muhammad Fakhar Ali Muhammad Fauzi Yahdi Muhammad Qusay Syah Putra Putri Khairunnisa Rahmawati Rahmawati Randi Ramliyana Reko Syarief Hidayatullah RETNO NENGSIH Riri Indriyanti Santy Handayani Shedriko Shedriko Siti Nur Isnaniyah Siwi Puji Astuti Surajiyo Surajiyo Suranto Saputra V.H. Valentino Windytia Amanda

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