Vol. 17 No. 1: JURNAL TEKNIK INFORMATIKA

Published: 2024-05-20

ARTICLES

  • Machine Learning for the Model Prediction of Final Semester Assessment (FSA) using the Multiple Linear Regression Method

    Fitria Rachmawati, Jejen Jaenudin, Novita Br Ginting, Panji Laksono
    1-9
    DOI: https://doi.org/10.15408/jti.v17i1.28652
    Abstract View: 100 Machine Learning for the Model Prediction of Final Semester Assessment (FSA) using the Multiple Linear Regression Method Download: 18

  • SVM Optimization with Grid Search Cross Validation for Improving Accuracy of Schizophrenia Classification Based on EEG Signal

    Masdar Desiawan, Achmad Solichin
    10-20
    DOI: https://doi.org/10.15408/jti.v17i1.37422
    Abstract View: 118 SVM Optimization with Grid Search Cross Validation for Improving Accuracy of Schizophrenia Classification Based on EEG Signal Download: 24

  • The Comparison of the Effectiveness and Efficiency of Fine-Tuning Models on Stable Diffusion in Creating Concept Art

    Abdul Bilal Qowy, Ahmad Nur Ihsan, Sri Hartati
    21-29
    DOI: https://doi.org/10.15408/jti.v17i1.37942
    Abstract View: 104 The Comparison of the Effectiveness and Efficiency of Fine- Tuning Models on Stable Diffusion in Creating Concept Art Download: 22

  • Systematic Literature Review: Cybersecurity by Utilizing Cryptography Using the Data Encryption Standard (DES) Algorithm

    Annisa Desianty, Imelda Imelda
    30-39
    DOI: https://doi.org/10.15408/jti.v17i1.37256
    Abstract View: 108 Systematic Literature Review: Cybersecurity by Utilizing Cryptography Using the Data Encryption Standard (DES) Algorithm Download: 20

  • Analyzing User Satisfaction of a Study Abroad Guidance Company Website Using the Customer Satisfaction Index (CSI) Method

    Fajrian Nispi, Ana Kurniawati, Lily Wulandari
    40-50
    DOI: https://doi.org/10.15408/jti.v17i1.34612
    Abstract View: 74 Analyzing User Satisfaction of a Study Abroad Guidance Company Website Using the Customer Satisfaction Index (CSI) Method Download: 17

  • A Comparative Study of Students Graduation Analysis Using Classification Methods in Undergraduate Electrical Engineering Tidar University

    Damar Wicaksono, Sapto Nisworo, Imam Adi Nata
    51-60
    DOI: https://doi.org/10.15408/jti.v17i1.32132
    Abstract View: 72 A Comparative Study of Students Graduation Analysis Using Classification Methods in Undergraduate Electrical Engineering Tidar Universit Download: 15

  • Integration of Design Sprint Method into Mobile Development Application Life Cycle to Create MobilePQI Application Prototype

    Fenty Eka Muzayyana Agustin, Nuriyah Thahir, Ade Rina Farida, Kania Mayastika
    61-69
    DOI: https://doi.org/10.15408/jti.v17i1.37818
    Abstract View: 136 Integration of Design Sprint Method into Mobile Development Application Life Cycle to Create MobilePQI Application Prototype Download: 24

  • Utilization of the FP-Growth Algorithm on MSME Transaction Data:Recommendations for Small Gifts from The Padang Region

    Firman Noor Hasan, Riyan Ariyansah
    70-78
    DOI: https://doi.org/10.15408/jti.v17i1.37966
    Abstract View: 80 Utilization of the FP-Growth Algorithm on MSME Transaction Data: Recommendations for Small Gifts from The Padang Region Download: 18

  • Use of Ticketing System in Freelancing Platform to Maintaining Client Trust in Product Development Process

    Andri Sahata Sitanggang, Novrini Hasti, R Fenny Syafariani, Lusi Melian, Bondan Rachmat Santoso, Muhammad Daffa Shidiq
    79-87
    DOI: https://doi.org/10.15408/jti.v17i1.32228
    Abstract View: 62 Use of Ticketing System in Freelancing Platform to Maintaining Client Trust in Product Development Process Download: 18

  • A Comparative Analysis of Random Forest, XGBoost, and LightGBM Algorithms for Emotion Classification in Reddit Comments

    Nenny Anggraini, Syopiansyah Jaya Putra, Luh Kesuma Wardhani, Farid Dhiya Ul Arif, Nashrul Hakiem, Imam Marzuki Shofi
    88-97
    DOI: https://doi.org/10.15408/jti.v17i1.38651
    Abstract View: 501 A Comparative Analysis of Random Forest, XGboost, and LightGBM Algorithms for Emotion Classification in Reddit Comments Download: 24