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All Journal International Journal of Electrical and Computer Engineering JURNAL SISTEM INFORMASI BISNIS Proceedings of KNASTIK Techno.Com: Jurnal Teknologi Informasi Perfecting a Video Game with Game Metrics Bulletin of Electrical Engineering and Informatics Jurnal Informatika SPEKTRUM INDUSTRI Jurnal Sarjana Teknik Informatika Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Jurnal Teknik Elektro Bulletin of Electrical Engineering and Informatics Jurnal Teknologi Jurnal Teknologi Informasi dan Ilmu Komputer Telematika Jurnal Edukasi dan Penelitian Informatika (JEPIN) JUITA : Jurnal Informatika Scientific Journal of Informatics Seminar Nasional Informatika (SEMNASIF) JURNAL PENGABDIAN KEPADA MASYARAKAT Jurnal Teknologi Elektro Proceeding SENDI_U Khazanah Informatika: Jurnal Ilmu Komputer dan Informatika KLIK (Kumpulan jurnaL Ilmu Komputer) (e-Journal) Bulletin of Electrical Engineering and Informatics Edu Komputika Journal Jurnal Teknologi dan Sistem Komputer Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) International Journal of Artificial Intelligence Research Jurnal Informatika Jurnal Khatulistiwa Informatika Journal of Information Technology and Computer Science (JOINTECS) Jurnal Ilmiah FIFO INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi JURNAL MEDIA INFORMATIKA BUDIDARMA Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control CogITo Smart Journal IT JOURNAL RESEARCH AND DEVELOPMENT InComTech: Jurnal Telekomunikasi dan Komputer JURNAL REKAYASA TEKNOLOGI INFORMASI ILKOM Jurnal Ilmiah Matrik : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer JSiI (Jurnal Sistem Informasi) CYBERNETICS Digital Zone: Jurnal Teknologi Informasi dan Komunikasi J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) JUMANJI (Jurnal Masyarakat Informatika Unjani) Edumaspul: Jurnal Pendidikan RESISTOR (Elektronika Kendali Telekomunikasi Tenaga Listrik Komputer) Informatika : Jurnal Informatika, Manajemen dan Komputer Jurnal Ilmiah Mandala Education (JIME) Systemic: Information System and Informatics Journal EDUMATIC: Jurnal Pendidikan Informatika Jurnal Mantik Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi JISKa (Jurnal Informatika Sunan Kalijaga) Buletin Ilmiah Sarjana Teknik Elektro Mobile and Forensics Journal of Robotics and Control (JRC) JTIULM (Jurnal Teknologi Informasi Universitas Lambung Mangkurat) Edunesia : jurnal Ilmiah Pendidikan Jurnal Teknologi Informatika dan Komputer Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) International Journal of Robotics and Control Systems J-SAKTI (Jurnal Sains Komputer dan Informatika) Techno Jurnal Informatika: Jurnal Pengembangan IT
Abdul Fadlil
Ahmad Dahlan University
Aerospace Engineering Arts Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Neuroscience Social Sciences Other

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PELATIHAN DATABASE ADMINISTRATOR SISWA SMK INFORMATIKA WONOSOBO Ainin Maftukhah; Rio Subandi; Rusydi Umar; Abdul Fadlil
JURNAL PENGABDIAN KEPADA MASYARAKAT Vol 29, No 4 (2023): OKTOBER-DESEMBER
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/jpkm.v29i4.49159

Abstract

Pentingnya pengelolaan database yang efektif dalam dunia digital yang terus berkembang. Pentingnya pelatihan database untuk siswa dalam mengelola dan mengimplementasikan database menggunakan perintah SQL. Kegiatan pemberdayaan umat dilakukan dengan urutan langkah-langkah sebagai berikut, pertama persiapan melakukan studi literatur dan membuat database yang mudah dipahami oleh siswa. Kedua menyiapkan alat dan bahan pelatihan pembuatan database pembelajaran untuk mengelola data siswa. Ketiga mengidentifikasi dan menyiapkan materi, pretest, dan postest yang akan diberikan kepada peserta saat kegitan. Hasil kegiatan pemberdayaan umat yang dilaksanakan pada hari Senin, 12 Juni 2023 secara offline diikuti 20 siswa-siswi dari kelas X hingga XI SMK Informatika Wonosobo.Kegiatan pemberdayaan umat yang diselenggarakan menghasilkan pretest dan postest, terdapat perubahan pemahaman dan keterampilan peserta pelatihan administrator database. Hal ini ditunjukkan dengan nilai prestes 46,8%, sedangkan postest 48,5%.
Identifying Hate Speech in Tweets with Sentiment Analysis on Indonesian Twitter Utilizing Support Vector Machine Algorithm Imam Riadi; Abdul Fadlil; Murni Murni
Khazanah Informatika Vol. 9 No. 2 October 2023
Publisher : Department of Informatics, Universitas Muhammadiyah Surakarta, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/khif.v9i2.22470

Abstract

Twitter had 24 million users in Indonesia at the beginning of 2023. Despite having fewer users than other platforms, its fast and instant nature makes Twitter a significant source of information dissemination. Tweets shared on Twitter offer various advantages. However, it also has negative consequences, including the dissemination of fake news, instances of cyberbullying, and the expression of hate speech. Specifically, hate speech employs offensive language to discriminate against an individual or group based on race, ethnicity, nationality, religion, gender, sexual orientation, or other personal attributes, leading to discord. Such behavior comes under the jurisdiction of various legal statutes, including the Constitution, the Criminal Code, and the ITE Law. The primary objective of this research is to categorize tweets shared on Twitter into hate speech and non-hate speech sentiments, utilizing a Support Vector Machine (SVM) algorithm based on a dataset of 5,000 tweets. This research involved data preprocessing, labeling, feature extraction using TF-IDF, model training (80%), and testing (20%). The final stage includes enhancing SVM parameters through GridSearch and cross-validation methods (GridSearchCV), followed by analysis using a Confusion Matrix with the Matplotlib Library. Radial Basis Function (RBF) kernels, defined by parameters C=10 and gamma=0.1, exhibited the highest performance among SVM models, boasting an 84% accuracy. The RBF kernel also attained 85% precision, 97% recall, and a 91% F1-score for hate speech identification. In conclusion, the evaluation of SVM kernel performance highlights the superiority of RBF kernels in achieving the highest accuracy, complemented by nuanced insights into hate speech precision, recall, and F1-score values across various kernel types.
Urinary Tract Infection Bacteria Classification: Artificial Intelligence-based Medical Application Abdul Fadlil; Haris Imam Karim Fathurrahman; Yu-Hao Lin; Farhah Kamilah; Sunardi Sunardi
Journal of Robotics and Control (JRC) Vol 4, No 5 (2023)
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jrc.v4i5.18879

Abstract

Urinary tract infection (UTI) is a type of health disorder, an infection in the urinary glands mainly caused by bacteria. Currently, conventional early detection methods that have been established involve rapid dipstick strip test and urine culture analysis, which have suboptimal accuracy and effectiveness. Several retrospective studies regarding UTI bacteria classification have shown promising results, but still have limitations regarding prediction accuracy and technical simplicity. This study aims to implement a method based on artificial intelligence (AI) in classifying images of bacteria that causes UTIs. Eight artificial intelligence methods based on deep neural networks were used in the study; the models were evaluated and compared based on the prediction's effectiveness and accuracy. This study also seeks to create the easiest method of classifying bacteria causing UTIs using a computer-based application with the best obtained AI-based model. The best training results using an intelligent approach placed DenseNet201 as the method with the highest accuracy (83.99%). Then, the output model was used as a knowledge reference for the designed computer-based application. Real-time prediction results will appear in the application window.
Ekstraksi Ciri Metode Gray Level Co-Occurrence Matrix (GLCM) dan Filter Gabor untuk Klasifikasi citra Batik Pekalongan Rizky Andhika Surya; Abdul Fadlil; Anton Yudhana
Jurnal Informatika: Jurnal Pengembangan IT Vol 2, No 2 (2017): JPIT, Juli 2017
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/jpit.v2i2.520

Abstract

Batik merupakan warisan budaya Indonesia yang harus kita jaga dan lestarikan. Proses melestarikannya yaitu dengan pendataan identitas batik tersebut secara komputerisasi. Proses tersebut diawali dengan pengenalan pola untuk mencari informasi dari citra batik tersebut menggunakan proses ekstraksi ciri dengan metode GLCM (Gray Level Co-Occurrence Matrix) dan Filter Gabor, kemudian proses klasifikasi menggunakan Jaringan Syaraf Tiruan. Penelitian ini membuat sistem ekstraksi ciri citra batik yang akan digunakan untuk proses selanjutnya yaitu klasifikasi yang dapat digunakan untuk pendataan citra batik, khususnya batik Pekalongan. Pada penelitian ini proses pengumpulan data melalui tiga cara, yaitu observasi, wawancara dan studi pustaka. Dalam pengimplementasiannya menggunakan Matlab 2010a. Pengujian menggunakan empat sampel citra batik tradisional Pekalongan, setiap citra dibagi menjadi beberpa bagian dan selanjutnya diuji dengan metode tersebut. Hasil penelitian ini telah menghasilkan beberapa niai metode GLCM dan hasil citra proses ekstraksi ciri metode Filter Gabor yang dapat digunakan untuk proses klasifikasi citra batik.
Analysis of the Saintekmu Website Quality on User Satisfaction Using the Modified System Usability Scale and Webqual 4.0 Method Fitrah Juliansyah Fitrah; Abdul Fadlil; Rusydi Umar
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 7 No 6 (2023): December 2023
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v7i6.5116

Abstract

Today, websites are a major means of finding or providing information. The Saintekmu website was created to offer top-notch service to students. One way to ensure that the website's services are appropriate and that information technology is being used to its fullest potential is to evaluate the level of service provided and improve its quality. This study aims to compare the results of two methods - the System Usability Scale (SUS) and Webqual - used to determine the quality and expectations of website users. The study distributed questionnaires online using Google Forms and had a sample size of 20 students. The data collected was analyzed using the SPSS program. The results of the SUS method indicated that the website acceptability range was in the marginal category, with a score of 69.9 and a classification rating of OK. The Webqual method yielded an R square of 0.948, indicating that the website's usability, quality, and interaction variables had a significant effect on user satisfaction. All WebQual 4.0 dimensions had a positive and significant effect on user satisfaction, both partially and simultaneously. This study provides Muhammadiyah Saintek University with reference material to evaluate its website in the future.
Co-Authors Aang Anwarudin Abdullah Hanif Achmad Nugrahantoro Achmad Nugrahantoro Aditiya Dwi Candra Ahmat Taufik Ainin Maftukhah Aji, Sukma Alfiansyah Imanda Putra Alfiansyah Imanda Putra Alfian Anak Agung Ketut Sudharmawan Anggit Pamungkas Anton Yudhana Anwar Siswanto ANWAR, FAHMI Arief Setyo Nugroho Arief Setyo Nugroho Arif Budi Setianto Arif Budiman Arif Budiman Atmojo, Dimas Murtia Aulia, Aulia Az-Zahra, Rifqi Rahmatika Aznar Abdillah, Muhamad Bagus Primantoro Basir, Azhar Candra, Aditiya Dwi Darajat, Muhammad Nashiruddin Denis Prayogi Denis Prayogi Dhimas Dwiki Sanjaya Dian Permata Sari Dikky Praseptian M Dimas Murtia Atmojo Doddy Teguh Yuwono Dwi Susanto Dwi Susanto Edy Fathurrozaq Eko Prianto Eko Prianto Ermin Al Munawar Ermin Ermin Esthi Dyah Rikhiana Fahmi Anwar Fahmi Auliya Tsani Fahmi Auliya Tsani Fahmi Fachri Fajar R. B Putra Faqihuddin Al-anshori Faqihuddin Al-Anshori, Faqihuddin Farhah Kamilah Fathurrahman, Haris Imam Karim Fauzi Hermawan Firmansyah Firmansyah Firmansyah Firmansyah Firmansyah Yasin Fitrah Juliansyah Fitrah Fitri Muwardi Frandika Septa Gusrin, Muhaimin Gustina, Sapriani Hafizh, Muhammad Nasir Hendril Satrian Purnama Herman Ibnu Rifajar Ibrahim Mohd Alsofyani Ihyak Ulumuddin Ikhsan hidayat Ilhamsyah Muhammad Nurdin Imam Riadi Imam Riadi Imam Riadi Imam Riadi Imam Riadi Imam Riadi Imam Riadi Izzan Julda D.E Purwadi Putra januari audrey Joko Supriyanto Joko Supriyanto Kartika Firdausy Lestari, Yuniarti Luh Putu Ratna Sundari M. Nasir Hafizh Mini, Ros Mohd Hatta Jopri Mudinillah, Adam Muh. Fadli Hasa Muhaimin Gusrin Muhamad Daffa Al Fitra Muhamad Rosidin Muhammad Johan Wahyudi Muhammad Nasir Hafizh Muhammad Nurdin, Ilhamsyah Muhammad Rizki Setyawan Murni Murni Musri Iskandar Nasution Mustofa Mustofa Muwardi, Fitri Novi Tristanti Novita Ranti Muntiari Novita Ranti Muntiari Nur Makkie Perdana Kusuma Ponco Sukaswanto Poni Wijayanti Putri Annisa Putri Annisa Putri Annisa Putri Purnamasari Ramadhani, Muhammad Rezki Ramdhani Rifqi Rahmatika Az-Zahra Rio Subandi Rizky Andhika Surya Roni Anggara Putra Rosad, Safiq Rusydi Umar Rusydi Umar Ryan Fitrian Pahlevi Saifudin Saifudin Saifullah, Shoffan Saleh khalifa saad Saleh Khalifah Saad Septa, Frandika Setyaputri, Khairina Eka Setyaputri, Khairina Eka Setyaputri, Khairina Eka Shinta Nur Desmia Sari Siti Helmiyah Siti Helmiyah Sukaswanto, Ponco Sukma Aji Sulis Triyanto Sunardi Sunardi Sunardi, Sunardi Surya Yeki Surya Yeki Syarifudin, Arma Tiara Widyakunthaningrum Tole Sutikno Tresna Yudha Prawira Tresna Yudha Prawira Tuswanto Tuswanto Winoto, Sakti Yana Mulyana Yasidah Nur Istiqomah Yeki, Surya Yossi Octavina Yu-Hao Lin Yuminah yuminah Yuminah, Yuminah Yuwono Fitri Widodo Zulhijayanto -