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All Journal Sinkron : Jurnal dan Penelitian Teknik Informatika Indonesian Journal of Artificial Intelligence and Data Mining IndraTech
Nur Azizah
STMIK Indonesia Padang
Religion Computer Science & IT Control & Systems Engineering Library & Information Science Other

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IMPLEMENTASI METODE TOPSIS UNTUK SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN GURU TERBAIK DI SMK NEGERI 1 SUNGAI RUMBAI Weri Sirait; Arief Rahmadian Aswin; Cyntia Lasmi Andesti; Nur Azizah
IndraTech Vol 3, No 1 (2022): Mei 2022
Publisher : STMIK Indragiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56005/jit.v3i1.94

Abstract

Tujuan penelitian ini adalah untuk membantu SMK Negeri 1 Sungai Rumbai dalam memudahkan pihak sekolah dan tim manajemen dalam menentukan guru terbaik dengan mengimplementasikan metode Technigue For Order Preference By Similarity To Ideal Solution (TOPSIS ) untuk menggali kreatifiatas kerja dan meningkatkan kualitas kerja guru di SMK Negeri 1 Sungai Rumbai. Masalah yang ditemui pada penelitian ini adalah sulitnya mengambil keputusan dalam pemilihan guru terbaik, informasi yang dihasilkan dalam penentuan pemilihan guru terbaik tidak efektif dan efisien dan proses penilaian pemilihan guru terbaik masih belum terkomputerisasi. Metode yang digunakan dalam penelitian ini yaitu Technigue For Order Preference by Similarity to Ideal Solution (TOPSIS) untuk penilaian berdasarkan kriteria-kriteria dan sistem yang akan dibangun merupakan aplikasi berbasis web yang menggunakan PHP sebagai bahasa pemrograman, MYSQL sebagai basis data. Hasil yang diinginkan dalam penelitian ini yaitu menghasilkan perangkingan guru terbaik berdasarkan hasil perhitungan metode TOPSIS.Kata Kunci : Sistem Pendukung Keputusan, Pemilihan Guru Terbaik, TOPSIS,WEB
Implementasi Algoritma C4.5 dalam Menentukan Tingkat Kepuasan Pelanggan di Kadai Kopi Lasi Nur Azizah; Cyntia Lasmi Andesti; Weri Sirait
IndraTech Vol 3, No 2 (2022): Oktober 2022
Publisher : STMIK Indragiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56005/jit.v3i2.103

Abstract

Tujuan penelitian ini adalah untuk membantu pemilik Kadai Kopi Lasi dalam mengetahui kepuasan pelanggan guna meningkatkan daya saing ditengah perkembangan cafe coffe dimasa sekarang. Metode yang digunakan adalah Algoritma C4.5. Tahapan dalam sistem kepuasan dengan metode algoritma C4.5 yaitu pengambilan data pelanggan dan data atribut dari kuisioner, perhitungan nilai entropy dan gain, serta hasil kepuasan. Demi keberlangsungan dari usaha tersebut, perlu ditinjau hal-hal apa yang membuat konsumen puas dan tidak puas. Data yang digunakan adalah jenis metode sampling dengan menggunakan kuesioner dengan skala linker yang terdiri dari 4 (Puas), 3 (Cukup Puas), 2 (Tidak Puas) dan 1  (Sangat Tidak Puas). Proses uji penelitian ini menggunakan software RapidMinner untuk membuat pohon keputusan. Dari hasil analisis diharapkan dapat meningkatkan kinerja Kadai Kopi Lasi dalam memberikan pelayanan kepada pelanggan Kadai Kopi Lasi agar menjadi lebih baik.Kata Kunci : Pelanggan, Data Mining, Algoritma C4.5 
Potential for Improvement of Student's English Language with the C4.5 Algorithm Cyntia Lasmi Andesti; Fitria Lonanda; Nur Azizah
Indonesian Journal of Artificial Intelligence and Data Mining Vol 5, No 2 (2022): September 2022
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/ijaidm.v5i2.17333

Abstract

Proficiency in English is not a barrier for the Millennial Generation today. Sophisticated technology can also help increase proficiency in English. However, there are still many who do not use this technology to support English proficiency. Apart from not using technology, the millennial generation is also lacking in practicing English in everyday life. There are several factors that can predict the potential for increasing proficiency in English, namely Reading (C1), Practice (C2), Pronunciation (C3), Environment (C4), Technology (C5), English Club (C6), and Listening (C7). These factors become parameters in solving problems that occur. These parameters are used in the Data Mining method, namely Classification C4.5 or what is often called the C4.5 Algorithm. This study aims to determine the potential for increasing proficiency in English. The data processed in this study were 90 respondents from the results of the questionnaire data distributed. The software used in the processing is WEKA 3.8.6 Software. The processing steps are to calculate the Entropy value and Gain value of each attribute, form the root node (node) based on the highest gain value and form a decision tree. The results of the discussion on the Weka 3.8.6 software, the data accuracy rate is 90 % or 81 data and the error rate is around 10 % or 9 Data. From the data of 90 respondents, the factors that influence the potential for increasing proficiency in English are Practice (C2).
Prediction of the Human Development Index for Equitable Development in West Sumatra Province Using the C4.5 Algorithm Sirait, Weri; Azizah, Nur
Sinkron : jurnal dan penelitian teknik informatika Vol. 7 No. 4 (2023): Article Research Volume 7 Issue 4, October 2023
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v8i4.12968

Abstract

Unequal development in Indonesia can be seen from the Human Development Index. The Human Development Index is a tool used to measure the attainment of the quality of life of a region or country and as material for economic policy on quality of life. It contains components of health level, education level and welfare level. In 2022, West Sumatra Province achieved the 9th highest Human Development Index in Indonesia, namely 73.26, with this figure the West Sumatra Province Human Development Index is above the national average. However, there are still regencies/cities in West Sumatra Province that have achievements below the national average. This factor causes the development conditions in West Sumatra Province to be uneven. Uneven human development conditions will make it difficult for the government to improve Human Resources (HR). In this research, the C45 Data Mining Algorithm was implemented to predict the Regency/City Human Development Index in West Sumatra Province. As is the method of the Central Bureau of Statistics in measuring the Human Development Index, the variables used from the Human Development Index indicators are Life Expectancy, Years of School Expectation, Average Length of Schooling, and Per Capita Expenditures. The Central Statistics Agency data used in this research covers all regencies/cities in West Sumatra during the period 2018-2022. Range levels are grouped into three groups, namely, low, medium, and high. Based on testing using RapidMiner software with the Cross Validation operator, an accuracy value of 86.61% was obtained.
Co-Authors Aswin, Arief Rahmadian Cyntia Lasmi Andesti Fitria Lonanda Weri Sirait