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All Journal Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Kinerja Jurnal Pseudocode Khazanah Informatika: Jurnal Ilmu Komputer dan Informatika RABIT: Jurnal Teknologi dan Sistem Informasi Univrab Sebatik Refleksi Pembelajaran Inovatif Automata ANALISIS - SCIENTIFIC JOURNAL OF ECONOMICS, MANAGEMENT, BUSINESS, AND ACCOUNTING JER
sri mulyati
Department Informatics Engineering, Faculty Of Industrial Technology, Islamic University Of
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Social Sciences

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Journal : Sebatik

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IDENTIFYING STUDENTS’ ACADEMIC ACHIEVEMENT AND PERSONALITY TYPES WITH NAIVE BAYES CLASSIFICATION Sri Mulyati; Novi Setiani
Sebatik Vol 22 No 2 (2018): DESEMBER 2018
Publisher : STMIK Widya Cipta Dharma

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MBTI Psychometry is the science of psychological measurement comprised of 4 opposite dimensions, namely energy orientation with Extrovert vs. Introvert, the way to manage information by sensing and Intuition, Dimensions of drawing conclusions & decisions: Thinking (T) vs. Feeling (F), and Dimensions of lifestyle: Judging (J) vs. Perceiving (P) . Students’ length of study is mainly influenced by both external and internal factors of the students’ individual. It is possible to measure the internal aspect of students by psychometric measurements. In addition, it is also viable to determine students’ study pattern with Machine learning technology to reveal the two factors influencing the students’ length of study. This study uses some of the students’ attributes including GPA, and the results of the 4-dimensional measurement based on passed courses and active courses. Samples were collected from students of the academic year of 2014 comprised of 63 students from the Psychological Department and 28 students from Informatics Engineering Department. The training data taken were 63 samples and the testing data were 28. In this study, the training data were used to establish the study pattern of students based on personality types. This study uses the Naïve Bayes Classifier algorithm to classify 63 training data with the value of Correctly Classified Instances of 82,53%. The 28 testing data with Correct Classified Instances amounted to 96.4286%. The test method is equipped with cross-validation of 8 folds resulting in the percentage of 80.95%.
NORMALISASI DATABASE DAN MIGRASI DATABASE UNTUK MEMUDAHKAN MANAJEMEN DATA Sri Mulyati; Bayu Aprilananda Sujatmoko; T Irfan Megat Wira; Rifqi Afif; Rizky Ari Pratama
Sebatik Vol 22 No 2 (2018): DESEMBER 2018
Publisher : STMIK Widya Cipta Dharma

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Penyajian data di era informasi seperti saat ini sangatlah dibutuhkan oleh masyarakat maupun penyedia informasi seperti BPTKG. Penyajian informasi tidak lepas dari basis data yag baik, karena dengan adanya basis data yang baik query untuk menampilkan informasi akan lebih mudah. Tujuan utama proses perancangan basis data adalah untuk mendapatan keakuratan dalam representasi data, hubungan data, dan aturan antar data. Normalisasi sendiri merupakan salah satu teknik dalam desain basis data untuk memproduksi tabel – tabel yang memiliki atribut yang tidak tepat sesuai dengan kebutuhan sistem. Tidak terlepas dari sistem untuk menampilkan informasi tingkat kewaspadaan kebencanaan. Data aktifitas gunung berapi jumlah datanya semakin bertambah dan kontinu, maka perlu desain basis data, membuat basis data baru dan migrasi data lama ke basis data yang baru. BMKG memiliki tugas untuk memantau aktifitas gunung merapi dan data disimpan dalam sistem sehingga bisa disampaikan kepada masyarakat terkait informasi potensi bencana alam kedalam bentuk tabel dan grafik agar lebih informatif. Pada basis data yang baru, dalam melakukan pencarian dan perubahan data lebih mudah dan efisien karena terdapat tabel dari basis data lama yang dinormalisasi. Hasil dari penelitian ini adalah tabel yang dihasiklan memiliki field yang lebih sedikit sehingga mepermudah proses implementasi untuk menampilkan informasi baik menggunakan tabel maupun grafik.
Co-Authors Ade Mulyavianis Akhmad Rifki Febrianto Bayu Aprilananda Sujatmoko Elyza Gustri Wahyuni Giri Persada, Andhika Haykal Syuhada Isobel Algar Wibowo Kukuh Eka Nugraha Chrisna Putra Nur Hidayah Alfianty Nurfauziah Nurfauziah, Nurfauziah Purwoko, Agus Raden Bagoes Yudha Rangga Sanjaya Rahadian Kurniawan Rakhmawati, Restu Rezky Ayu Wulandari Rifki Among Hastari Rifqi Afif Rizky Ari Pratama Setiani, Novi Sherina Arin Salsabila Sri Kusumadewi Sri Yunianita Syahrul Ilyasa T Irfan Megat Wira