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All Journal Jurnal Informatika Universitas Pamulang JurTI (JURNAL TEKNOLOGI INFORMASI) Petir Journal of Computer Science, Information Technology and Telecommunication Engineering (JCoSITTE) TECHSI - Jurnal Teknik Informatika

Septri Wanti Siahaan

STIKOM TUNAS BANGSA PEMATANGSIANTAR

Author-ID : 3535607

Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Other

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Articles

Application of C4.5 Algorithm in Improving English Skills in Students Septri Wanti Siahaan; Kristin Daya Rohani Sianipar; P.P.P.A.N.W Fikrul Ilmi R.H Zer; Dedy Hartama
Jurnal Informatika Universitas Pamulang Vol 5, No 3 (2020): JURNAL INFORMATIKA UNIVERSITAS PAMULANG
Publisher : Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/informatika.v5i3.5268

In this world, many languages from other countries can be used as a communication tool. One of them is English. Students who has qualification must know that learning English is very much needed. Because nobody knows what will happen in the next few years. It could be one factor to obtain a position the next few years is our expertise in speaking English. English is a global language used by people to communicate with other people. On this occasion, researchers conducted research to determine what factors can improve students' ability to speak English. To complete this research, researchers resolve by applying the existing algorithm in data mining, namely C4.5 Algorithm. The result of this research can be concluded that the factors that influence to improve students ability in English are hearing from the environment.

Implementation of Artificial Neural Networks In Predicting Students ‘English Understanding Level Using The Backpropagation Method Septri Wanti Siahaan; Kristin Daya Rohani Sianipar; Iin Parlina
Journal of Computer Science, Information Technology and Telecommunication Engineering Vol 1, No 2 (2020)
Publisher : Universitas Muhammadiyah Sumatera Utara, Indonesia

English is a language that unites humans in communicating with others. The existence of language differences can make it difficult for people to understand each other in dialogue. Therefore, the role of English is very useful to unite human communication. In this case, researchers make research to predict the level of understanding of students in English. Predicting the level of understanding of students in English is needed to determine the level of ability or understanding of students in English so that students can further enhance student abilities. English is very necessary for students to support a bright future. In this study implements the Artificial Neural Network in conducting research and applying the bacpropagation method in it. To complete this study, researchers used several criteria, namely: Reading References, Hearing from the Environment, Practicing, Utilizing Technology. Of the four criteria using the backpropagation method is useful for training in predicting the level of understanding of students in English. The results of this research test get that the level of understanding of students in English is with the level of accuracy and architectureKeyword : Artificial Neural Network; Prediction; English; Level of Understanding; Backpropagation.English is a language that unites humans in communicating with others. The existence of language differences can make it difficult for people to understand each other in dialogue. Therefore, the role of English is very useful to unite human communication. In this case, researchers make research to predict the level of understanding of students in English. Predicting the level of understanding of students in English is needed to determine the level of ability or understanding of students in English so that students can further enhance student abilities. English is very necessary for students to support a bright future. In this study implements the Artificial Neural Network in conducting research and applying the bacpropagation method in it. To complete this study, researchers used several criteria, namely: Reading References, Hearing from the Environment, Practicing, Utilizing Technology. Of the four criteria using the backpropagation method is useful for training in predicting the level of understanding of students in English. The results of this research test get that the level of understanding of students in English is with the level of accuracy and architectureKeyword : Artificial Neural Network; Prediction; English; Level of Understanding; Backpropagation.

PENERAPAN ALGORITMA K-MEANS DALAM MENENTUKAN TINGKAT KEPUASAN PEMBELAJARAN ONLINE PADA MASA PANDEMI COVID-19 Kristin Daya Rohani Sianipar; Septri Wanti Siahaan; Marina Siregar; Fikrul Ilmi R.H Zer; Dedy Hartama
(JurTI) Jurnal Teknologi Informasi Vol 4, No 1 (2020): JUNI 2020
Publisher : Universitas Asahan

Abstract - In this increasingly developed and advanced era, information technology is increasingly needed in human life. It can be seen from the current COVID-19 pandemic, information technology is increasingly needed in carrying out human activities at home. In the scope of learning, learning activities are shifted to online or online learning. Many students feel burdened with online learning. However, some students feel that the steps taken by the government are very appropriate to avoid stopping learning activities. This research was conducted for application in determining the level of online learning satisfaction in the COVID-19 pandemic. In this study the k-means algorithm is used to determine the level of online learning satisfaction that is applied to students.Keywords - Algorithm, K-Means, Level of Satisfaction, Online Learning, COVID-19 Pandemic Abstrak - Di era teknologi yang semakin mau dan berkembang ini, teknologi informasi menjadi lebih dibutuhkan dalam kehidupan manusia. Dapat dilihat dari adanya pandemi COVID-19 saat ini, teknologi informasi semakin dibutuhkan dalam melakukan aktivitas manusia di rumah. Pada ruang lingkup pembelajaran, aktivitas pembelajaran dialihkan menjadi melalui daring atau pembelajaran online. Banyak mahasiswa yang merasa terbebani dengan adanya pembelajaran online. Namun, ada juga mahasiswa yang merasa bahwa langkah yang dilakukan pemerintah ini sangat tepat untuk menghindari pemberhentian kegiatan pembelajaran. Penelitian ini dilakukan untuk penerapan dalam menentukan tingkat kepuasan pembelajaran online di tengah pandemi COVID-19. Dalam penelitian ini digunakan algoritma k-means untuk menentukan tingkat kepuasan pembelajaran online yang diterapkan kepada mahasiswa. Kata kunci - Algoritma, K-Means, Tingkat Kepuasan, Pembelajaran Online, Pandemi COVID-19

Penerapan Algoritma C4.5 Dalam Meningkatkan Kemampuan Bahasa Inggris Pada Mahasiswa Septri Wanti Siahaan; Kristin Daya Rohani Sianipar; P.P.P.A.N.W Fikrul Ilmi R.H Zer; Dedy Hartama
PETIR Vol 13 No 2 (2020): PETIR (Jurnal Pengkajian Dan Penerapan Teknik Informatika)
Publisher : Sekolah Tinggi Teknik - PLN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33322/petir.v13i2.1029

In this world, many languages from other countries can be used as a communication tool. One of them is English. Students who have education must know that learning English is very much needed. Because nobody knows what will happen in the years to come. It could be one factor to get a job the next few years is our expertise in speaking English. English is a global language used by people to communicate with other people. On this occasion, researchers conducted research to determine what factors can improve students' ability to speak English. To complete this research, researchers resolve by applying the existing algorithm in data mining, namely C4.5 Algorithm. The result of this research can be concluded that the factors that influence to improve students’s ability in English are hearing from the environment. This research has goals is to motivating student in improving their ability of English. Keywords: c4.5 algorithm, English, data mining, ability, improving

PENGAMANAN DATA TEKS MENGGUNAKAN ALGORITMA KRIPTOGRAFI RC4 DARI SERANGAN BRUTE FORCE Septri Wanti Siahaan; Lia Cintia Purba; Kristin Daya Rohani Sianipar; Indra Gunawan
TECHSI - Jurnal Teknik Informatika Vol 11, No 2 (2019)
Publisher : Teknik Informatika Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/techsi.v11i2.1271

Pada perkembangan ilmu teknologi saat ini, sangat penting untuk kita menjaga keamanan dari keaslian data yang kita miliki. Karena perkembangan ilmu teknologi bukan hanya dimanfaatkan untuk hal positif, namun banyak pihak yang telah menyalahgunakannya. Dengan cara, mengubah data-data yang asli atau mencuri data tersebut untuk kepentingan pribadi yang sangat merugikan dari pihak pemiliknya, Contohnya seperti data teks. Untuk mengurangi rasa khawatir kita pada data yang kita punya, kita dapat mengamankan data kita dengan menggunakan Algoritma Kriptografi RC4 dari serangan-serangan yang membahayakan data milik kita. Seperti serangan Brute Force.Kata kunci: brute force, kriptografi, RC4, data teks, pengamanan data

PENGAMANAN FILE SUARA MENGGUNAKAN KRIPTOGRAFI ALGORITMA RIJNDAEL DENGAN PROSES ENKRIPSI DAN DEKRIPSI Kristin Daya Rohani Sianipar; Septri Wanti Siahaan; Marina Siregar; Indra Gunawan
TECHSI - Jurnal Teknik Informatika Vol 11, No 3 (2019)
Publisher : Teknik Informatika Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/techsi.v11i3.1967

Pada era ini, perkembangan dan kemajuan dari teknologi informasi semakin meningkat dengan pesat. Sehingga membuat lebih mengerti dalam bidang teknologi. Dengan semakin majunya teknologi saat ini, kita dapat membuat sebuah program untuk mengamankan file seperti : file gambar, file dokumen, file suara, dan lain-lain. Kita dapat mengamankan file kita dengan menggunakan kriptografi algoritma rijndael. Dengan menggunakan algoritma ini kita dapat mengamankan file menggunakan proses enkripsi dan dekripsi.Kata kunci: pengamanan data, kriptografi, algoritma rijndael, enkripsi, dekripsi

Co-Authors Dedy Hartama Fikrul Ilmi R.H Zer Iin Parlina Indra Gunawan Kristin Daya Rohani Sianipar Lia Cintia Purba Marina Siregar P.P.P.A.N.W Fikrul Ilmi R.H Zer

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