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All Journal Infotech Journal Tematik : Jurnal Teknologi Informasi Komunikasi JURNAL PENGABDIAN KEPADA MASYARAKAT (ADI DHARMA) Jurnal Global Futuristik : Kajian Ilmu Sosial Multidisipliner Al-fiqh : Journal of Islamic Studies Jurnal Sadewa: Publikasi Ilmu Pendidikan, Pembelajaran dan Ilmu Sosial Jurnal Janata Cendekia Inovatif Dan Berbudaya : Jurnal Ilmu Sosial Dan Humaniora Nusantara Journal of Multidisciplinary Science Jurnal Media Akademik (JMA) Journal of Regional Public Administration
Cahyadi
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Religion Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Social Sciences Transportation Other

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Journal : Infotech Journal

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PENENTUAN PENYUSUTAN ASET TETAP PADA MANAJEMEN ASET MENGGUNAKAN ALGORITMA BINARY SEARCH Purnomo, Dwi; Fitri Anggraeni; Dewi Sahara Nasution; Satria Putra Utama; cahyadi
INFOTECH journal Vol. 10 No. 2 (2024)
Publisher : Universitas Majalengka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31949/infotech.v10i2.10891

Abstract

Assets are objects that have value and must be recorded, also commonly referred to as wealth. Assets can be capital, objects, land and buildings. The increasing number of assets will continue to grow and get bigger, problems arise when maintaining and monitoring the value of assets that have dynamic value over time. This research aims to group asset data using the Binary Search algorithm. So it will be easy to identify and know the final asset value which will be used by company or organizational decision makers in terms of asset renewal or asset replacement.
PENILAIAN ESAI MATA KULIAH BAHASA INGGRIS BERBASIS MACHINE LEARNING MENGGUNAKAN ALGORITMA REGRESI LINIER Cahyadi; Purnomo, Dwi; Dewi Sahara Nasution; fitri anggraini
INFOTECH journal Vol. 11 No. 1 (2025)
Publisher : Universitas Majalengka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31949/infotech.v11i1.13014

Abstract

Manual essay assessment is time-consuming and subjective. This study proposes an automated evaluation system using a linear regression algorithm to improve efficiency and objectivity. The model analyzes linguistic and structural features such as word count, sentence length, word complexity, and grammatical patterns. The dataset consists of student essay scored by tutors  as training references. Natural Language Processing (NLP) techniques are applied to extract linguistic features and map reference scores using linear regression. The system helps instructors provide more consistent and efficient feedback while reducing subjectivity in grading. Additionally, this approach enhances assessment scalability, making it applicable to large numbers of essays. However, the model has limitations, particularly in understanding deep contextual meaning, creativity, and argument coherence. Future improvements may integrate advanced NLP models to enhance comprehension. Despite its limitations, this system presents a valuable step toward automated essay assessment in education
Co-Authors Abdul Aziz Aditya Arif Wicaksono Celia Agustin Cindy Adellia Varissa Devi Rahma Dewi Sahara Nasution Dewi, Devi Silvia Dhiahulhaq, Fauzan Dwi Novi Setiawati Dwi Purnomo Eni Amaliah Fawwaz Shofwan Dzael Haqqy Fiki Romadhon Fitri Anggraeni Fitri Anggraini Hafidz Sanjaya, Hafidz Hidayat, Manarul Hilma, Dede Ibrahim Ibrahim Iis Istiqomah Ilyas, Doni Imanika, Meilina Silvi Iqbal Maulana Ira Damayanti, Ira Kurnia, Deti Lastarida Sinaga Masitoh, Imas Muhammad Khaesar Juniardi Nadya Riwanda Nanda Kamila Azzahra Neng Sufia Akmalia Nur’aini Puspita, Gita Raden Mohamad Herdian Bhakti Rafa Nabila Rita Komalasari Salzi Mainenda Putti Septika Baeti Zahrotunnisa Suhertin, Tatin Sulistia, Desi Sri Tiara Nofiana TRI WULANDARI Umi Nur Hayati Wahid Hasim Wahyu Eka Candra Wiranto, Heri