Explore IT: Jurnal Keilmuan dan Aplikasi Teknik Informatika

E-ISSN 2549-354X P-ISSN 2086-3489

About the Journal

Explore IT adalah publikasi jurnal ilmiah enam bulanan (Juni dan Desember) yang diterbitkan oleh Program Studi Teknik Informatika Universitas Yudharta Pasuruan. Isi artikel Jurnal EXPLORE IT meliputi bidang Artificial Intellegent, AR VR, Mobile programming, Pattern Recognition, Internet of Thinks (IoT), Remote Sensing, Fuzzy Logic, Computer Network and Architecture, Network Security, Embedded system, dan aplications.

DOI: https://doi.org/10.35891/explorit

Announcements

Journal Identity

2020-09-22

Explore IT is a six-monthly scientific journal published by the Informatics Engineering Study Program, University of Yudharta Pasuruan. The scope of the Explore IT......

Current Issue

Vol 16 No 1 (2024): Jurnal Explore IT Edisi June 2024

2024-06-10

Author From Indonesia and Timor Leste

DOI: https://doi.org/10.35891/explorit.v16i1

Prediksi Analisis Sentimen Data Debat Pemilihan Presiden 2024 Menggunakan Support Vector Machine (SVM)
Prediction of Sentiment Analysis of 2024 Presidential Election Debate Data Using Support Vector Machine (SVM)

Vardina Nava Madya Kusman, Vanessa Metayani, Oscar Karnalim

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View 144 Download 107 Page 1-5

Rancang Bangun Aplikasi Disposisi Digital untuk Meningkatkan Efektiftas Kegiatan Administrasi Di Kecamatan Gadingrejo
Design and Development of a Digital Disposition Application to Increase the Effectiveness of Administrative Activities in Gadingrejo District

Lafnidita Farosanti, Purwaningrum Puji Lestari, Puji Utami Rakhmawati

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View 75 Download 52 Page 6-14

Game Edukasi Bahasa Inggris Berbasis Android Untuk Meningkatkan Kemampuan Kosakata Dengan Algoritma Fisher Yates Shuffle
Android-Based English Education Game to Improve Vocabulary Skills Using the Fisher Yates Shuffle Algorithm

Firda Nur Aisyah, Lukman Hakim, Aminatuz Zuhriyah

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View 50 Download 56 Page 15-21

Implementasi GridSearch dalam Meningkatkan Kinerja Model Support Vector Regresion (SVR) utuk Prediksi Penjualan Produk (Studi kasus : Meubel Rohman Jaya)
Implementation of GridSearch to Improve the Performance of the Support Vector Regression (SVR) Model for Predicting Product Sales at Rohman Jaya Furniture

Ahmad Baidowi Eko Fitra Firmanda, Ahmad Hudawi AS, Abu Tholib, Juvinal Ximenes Guterres

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View 138 Download 76 Page 22-30

Sistem Rekomendasi Wisata Kuliner Madura Menggunakan Content Based Filtering
Madura Culinary Tourism Recommendation System Using Content Based Filtering

Laili Cahyani, Nuke Sephiana, Muhlis Tahir, Jamilatul Aisyiah

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View 82 Download 65 Page 31-38

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