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All Journal MATICS : Jurnal Ilmu Komputer dan Teknologi Informasi (Journal of Computer Science and Information Technology) CAUCHY: Jurnal Matematika Murni dan Aplikasi IQTISHODUNA Sinergi Agrokreatif Jurnal Ilmiah Pengabdian kepada Masyarakat MIX : Jurnal Ilmiah Manajemen Ekonomi Bisnis BAREKENG: Jurnal Ilmu Matematika dan Terapan Journal of Multidisciplinary Applied Natural Science Bulletin of Applied Mathematics and Mathematics Education Economics & Islamic Finance Journal Journal of Research on Community Engagement
Angga Dwi Mulyanto
Jurusan Matematika, UIN Maulana Malik Ibrahim Malang
Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Engineering Environmental Science Immunology & microbiology Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Social Sciences Transportation

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Pemanfaatan Bot Telegram Untuk Media Informasi Penelitian Mulyanto, Angga Dwi
MATICS Vol 12, No 1 (2020): MATICS
Publisher : Department of Informatics Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/mat.v12i1.8847

Abstract

Bot telegram dapat dimanfaatkan sebagai media informasi penelitian. Pada artikel ini kami mencoba melakukan pengembangan media informasi penelitian menggunakan bot telegram untuk LP2M UIN Maulana Malik Ibrahim Malang. Metode yang digunakan untuk pengembangan adalah ADDIE. Terdapat 2 hal yang kami rasa perlu dimasukkan di dalam bot telegram LP2M  saat ini yaitu daftar penelitian dan daftar haki. Dengan menggunakan bot telegram, pengguna dapat mengakses data penelitian dan HaKI dengan cepat.
mVIF Package: A Tool for Detecting Multicollinearity without Dependent Variables Angga Dwi Mulyanto
MATICS: Jurnal Ilmu Komputer dan Teknologi Informasi (Journal of Computer Science and Information Technology) Vol 14, No 2 (2022): MATICS
Publisher : Department of Informatics Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/mat.v14i2.20948

Abstract

Abstract— This article discusses the Variance Inflation Factor (VIF), a tool used to test the assumption of non-multicollinearity in regression analysis. VIF measures the correlation between variables in a regression model and its impact on the accuracy of analysis results. The article highlights that VIF can also be used to determine the presence of multicollinearity among variables in various types of analyses, including Hierarchical Cluster Analysis. While there are several programs or packages available to calculate VIF, they usually require a dependent variable input. To address this issue, the author aims to create a new package using Python to calculate VIF without the need for a dependent variable input. The program calculates VIF using the sequential elimination method, which involves removing one variable at each iteration of the for loop. In use, the user needs to input data in the form of a matrix, and the program will return a list of VIFs and information about the presence of multicollinearity in the data. The program provides an alternative method for evaluating multivariate data and the presence of multicollinearity, making the testing process easier and faster for data analysts and researchers.
Co-Authors Abdul Aziz Agung Surya Mahendra Agung Surya Mahendra, Agung Surya Agus Maimun Agus Mulyono Ahmad Abtokhi Akbar Wiguna Akyunul Jannah Alfin Mustikawan Ali Djamhuri Andi Tenri Ampa Aqsari, Hasri Wiji Ari Kusumastuti Bambang Widjanarko Otok Bambang Widjanarko Otok Choiruddin, Achmad Cindy Cahyaning Astuti Dewi Saroh Dwi Suheriyanto Dwi Trijoyo Purnomo, Jerry Elly Susanti Elmi, Farida Endang Widhiyastuti Erry Rimawan Erry Rimawan, Erry Fachrur Rozi Fitria Nur Hasanah Hairur Rahman Hartanti, Oktarina Eka Heni Widayani Hisyam Fahmi Indah Tri Susilowati Jannah, Akyunnul M. Al Musadieq M. Al Musadieq, M. Makkulau Makkulau Muhammad Saefi Ni Wayan Surya Wardhani Nofiantoro, Ugi Noviana Dewi Novita Sari Nugroho, Oktavianto Ashror Pannangngareng Makkulau, Andi Tenri Purhadi Purhadi Purwanto S. Katidjan Purwati Purwati Rahmania Sri Untari Rofiaty, Rofiaty Santi Wulan Purnami Setyo Riyanto, Setyo Setyowati, Ernaning Shofi Andari Sholahuddin, Mohammad Solimun, Solimun Sri Harini Sri Harini Suharno Pawirosumarto Sutarman, Novia Nila Syaiful Mustofa Tarranita Kusumadewi Tri Harningsih Try Noviyanti Utama, Andyan Pradipta Wibawa, Gusti N.A.