Article Per Year (5 Year)
p-Index From 2021 - 2026
2.223
P-Index
This Author published in this journals
All Journal IJITEE (International Journal of Information Technology and Electrical Engineering) Jatilima : Jurnal Multimedia Dan Teknologi Informasi Jurnal Teknimedia: Teknologi Informasi dan Multimedia Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Emerging Information Science and Technology Academic Journal of Computer Science Research (AJCSR) Duta Abdimas: Jurnal Pengabdian Masyarakat jabdimasunipem JKTi - Jurnal Keilmuan Teknologi Informasi Jurnal Pengabdian Masyarakat Terapan
Krisna Nuresa Qodri
Universitas Muhammadiyah Klaten
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mechanical Engineering Public Health Social Sciences

Published : 13 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 13 Documents
Search

 1   2 
Analisis Sentimen Mobil Listrik di Indonesia Menggunakan Long-Short Term Memory (LSTM) Sri Widagdo, Adika; Ardiansyah; Krisna Nuresa Qodri; Fachruddin Edi Nugroho Saputro; Nisrina Akbar Rizky Putri
JURNAL FASILKOM Vol. 13 No. 3 (2023): Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer)
Publisher : Unversitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/jf.v13i3.6303

Abstract

Vehicles using fuel oil that is converted into mechanical energy were introduced in 1891 by John W. Lambert in America. But with this, the level of air pollution caused by exhaust emissions has become a problem today, until environmentally friendly engine innovations appear. The beginning of the development of these innovations was marked by hybrid technology cars. This technology has not completely abandoned the use of oil as fuel. In general, these vehicles are known as HEV or Hybrid Electic Vehicles. Then came a car that was entirely with an electric motor drive or EV or Electric Vehicle. Although the technology is considered environmentally friendly, on the other hand it does not make all elements of society accept any changes, especially in fuel oil engines to electric motors. With these changes, there are pros and cons that are the focus of researchers by utilizing sentiment analysis which is a Natural Language Processing (NLP) scientific family to analyze what aspects make society pro or con to the emergence of environmentally friendly vehicles. Data collection in this study took from YouTube comments in the form of Indonesian text data carried out using Python programming language and Long-Short Term Memory (LSTM) as an algorithm for analyzing public opinion. The dataset was divided into training data and test data with a ratio of 67:33, The results showed that the model can be used on Indonesian text data well. Then for the process of accuracy test data 63%, then macro avg precision 62%, macro avg recall 60%, macro avg f1-score 60%, weighted avg precision 62%, weighted avg recall 63%, weighted avg f1-score 62%, roc_auc 81%. In this study, it can also be seen that the topic of discussion that often arises, namely prices in all classes. However, negative sentiment is more than other sentiment classes, one of which is due to electric car manufacturers so it is very necessary to pay attention to stakeholders regarding prices that are suitable for the Indonesian market.
Optimalisasi Keterampilan Administratif Siswa SMK Melalui Pelatihan Aplikasi Microsoft Office Nuresa Qodri, Krisna; Saputro, Fachruddin Edi Nugroho; Widagdo, Adika Sri; Putri, Nisrina Akbar Rizky; Widyastuti, Erma
Jurnal Pengabdian Masyarakat Terapan Vol 2 No 3 (2025): JUPITER Desember 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jupiter.2.3.72

Abstract

Kegiatan pengabdian ini bertujuan untuk meningkatkan keterampilan administratif siswa-siswi SMK Muhammadiyah 3 Klaten Tengah melalui pelatihan intensif penggunaan aplikasi Microsoft Office, khususnya Word dan Excel. Permasalahan utama yang dihadapi sekolah adalah kurangnya penguasaan aplikasi perkantoran akibat terbatasnya kurikulum yang menekankan literasi digital. Kegiatan ini melibatkan tahapan perencanaan, pelaksanaan pelatihan, serta evaluasi berbasis pre-test dan post-test. Hasil pelatihan menunjukkan adanya peningkatan signifikan dalam pemahaman dan keterampilan siswa, terutama pada penggunaan Excel. Setelah mengikuti kegiatan ini siswa-siswi sudah mampu untuk menggunakan rumus dasar dari Excel serta sudah mampu membuat chart. Kegiatan ini berkontribusi positif dalam meningkatkan literasi digital dan kesiapan siswa menghadapi dunia kerja berbasis teknologi informasi.
Analisis Performa ModSecurity Core Rule Set Menggunakan GoTestWAF untuk Mengidentifikasi Serangan dan Teknik Bypass pada Aplikasi Web Desmana, Satriawan; Qodri, Krisna Nuresa; Ratih, Ratih; Putri, Bella Adinda; Muin, Muhammad Abdul
Academic Journal of Computer Science Research Vol 8, No 1 (2026): Academic Journal of Computer Science Research (AJCSR)
Publisher : Institut Teknologi dan Bisnis Bina Sarana Global

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38101/ajcsr.v8i1.16107

Abstract

Keamanan aplikasi web menghadapi tantangan yang semakin kompleks dengan meningkatnya serangan siber seperti SQL Injection, Cross-Site Scripting (XSS), Command Injection, serta berbagai teknik evasion yang dirancang khusus untuk menghindari mekanisme deteksi konvensional. ModSecurity sebagai Web Application Firewall (WAF) open-source telah banyak digunakan karena fleksibilitas dan integrasinya dengan OWASP Core Rule Set (CRS). Namun demikian, efektivitas ModSecurity sangat bergantung pada kualitas dan pembaruan rule set yang diimplementasikan. Penelitian ini bertujuan mengevaluasi performa ModSecurity versi 3 dengan CRS 4.19.0 dalam mendeteksi serangan modern menggunakan framework pengujian otomatis GoTestWAF. Pengujian dilaksanakan pada lingkungan terkontrol melalui analisis true-positive, true-negative, dan false-negative terhadap 816 payload berbahaya maupun legitimate. Hasil penelitian menunjukkan ModSecurity hanya mampu memblokir 45,44% dari total payload berbahaya, sementara 54,56% berhasil melewati perlindungan. Selain itu, 17,73% traffic aman salah diblokir (false positive), yang berpotensi mengganggu operasional aplikasi. Kelemahan terutama ditemukan pada payload berukuran besar, teknik obfuscation, encoding kompleks, dan struktur request non-standar. Secara keseluruhan, konfigurasi default CRS 4.19.0 pada paranoia level 1 belum memadai menghadapi serangan kontemporer. Optimalisasi diperlukan melalui peningkatan paranoia level, aktivasi optional rules, tuning aturan, dan penambahan custom rules. Penelitian ini memberikan kontribusi empiris bagi peningkatan implementasi WAF open-source pada aplikasi web masa kini.
Co-Authors Adika Sri Widagdo Adika Sri Widagdo Al-Baihaqi, Muhammad Zulfikhar Ardi, Luthfi Ardiansyah Ardiansyah Ardiansyah Banna, Dion Al Desmana, Satriawan Edi Nugroho Saputro, Fachruddin Erma Widyastuti Fachruddin Edi Nugroho Saputro Farkhani, Jodi Nur Habib Ismail Hanung Adi Nugroho Hidayani, Diesti Indah Soesanti Kumalasari, Puput Kurnianti, Apriliya Muhammad Abdul Muin Nisrina Akbar Rizky Putri Pandu Cahyadi, Fian Praditia, Rizky Nanda Putri, Nisrina Akbar Rizky Rahmi Nurhaini, Rahmi ratih ratih Rausan Fikri, Muhammad Reza Giga Isnanda, Reza Giga Romadhani, Mustofa Ronaldo, Rizal Adimas Sapurtro , Fachruddin Edi Nugroho Saputro, Fachruddin Edi Nugroho Sri Widagdo, Adika Widagdo, Adika Sri