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All Journal Seminar Nasional Aplikasi Teknologi Informasi (SNATI) JOURNAL OF APPLIED INFORMATICS AND COMPUTING JURNAL PENGABDI ILKOM Jurnal Ilmiah MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Jurnal Teknologi Informasi dan Multimedia Jurnal Teknologi Informasi, Komputer, dan Aplikasinya (JTIKA ) JATI (Jurnal Mahasiswa Teknik Informatika) Jurnal Bumigora Information Technology (BITe) Jurnal Teknik Informatika (JUTIF) Jurnal Aplikasi Teknologi Informasi dan Manajemen (JATIM) ADMA: Jurnal Pengabdian dan Pemberdayaan Masyarakat Riset, Ekonomi, Akuntansi dan Perpajakan (REKAN) Jurnal Interaktif: Warta Pengabdian Pendidikan (JIWPP) Jurnal Saintekom : Sains, Teknologi, Komputer dan Manajemen Jurnal Begawe Teknologi Informasi MATRIX : JURNAL MANAJEMEN TEKNOLOGI DAN INFORMATIKA Paradigma Bakti Sekawan : Jurnal Pengabdian Masyarakat Seminar Ilmiah Nasional Teknologi, Sains, dan Sosial Humaniora (SINTESA) Seminar Nasional Aplikasi Iptek (SINAPTEK)
Pahrul Irfan
Universitas Bumigora
Religion Agriculture, Biological Sciences & Forestry Humanities 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 Health Professions Languange, Linguistic, Communication & Media Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Social Sciences Other

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Selection of Outstanding Students Using AHP and Profile Matching Nasri, Muhammad Haris; Hammad, Rifqi; Irfan, Pahrul
Paradigma - Jurnal Komputer dan Informatika Vol. 26 No. 1 (2024): March 2024 Period
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/p.v26i1.3189

Abstract

The determination of outstanding students is the giving of awards to those who excel in academic and non-academic fields, aimed at motivating increased achievement. However, this process is often hampered by various criteria that must be considered, such as English language skills, work results, awards, and so on. The solution offered to overcome this problem is the development of a decision support system for selecting outstanding students using the AHP and Profile Matching methods. So, the aim of this research is to develop a decision support system for selecting outstanding students using a combination of the AHP and Profile matching methods, where later the system developed can assist decision makers in determining outstanding students. The results obtained from this research are a decision support system that uses 8 criteria and 26 alternative sample data which shows that "Mahasiswa F" is an outstanding student with a score of 4.09. The results of manual calculations with the system show similarities, which shows that the system developed is in accordance with expectations.
PENGEMBANGAN BASIS DATA SISTEM INFORMASI AKADEMIK PERGURUAN TINGGI BERBASIS SCHEMA MATCHING LINGUISTIC, CONSTRAINT DAN INSTANCE Irfan, Pahrul; Hammad, Rifqi; Zuhrian, Naufal Rifqi; Azhari, Anjas Ardiyan
Jurnal Saintekom : Sains, Teknologi, Komputer dan Manajemen Vol 12 No 2 (2022): September 2022
Publisher : STMIK Palangkaraya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33020/saintekom.v12i2.279

Abstract

Universities currently need information systems to support their activities. Bumigora University is one of the universities that implements information systems such as Siska and E-Learning. Both the system and the database of the two systems are still independent. So that the same data input is still happening on different systems. Based on these problems, it is necessary to develop a database that can connect information from Siska and E-Learning. The method used in this research is Schema Matching. The Schema Matching method used is the Linguistic, Constraint, and Instance Schema Matching method. The results showed that there were several table pairs with true positive and false positive values so that the precision, recall, and F-measure values obtained were 0.8, 1, and 0.89. The F-measure value obtained is 0.89 which is greater than 0.5 so it can be said that the scheme matching process is running quite well.
MENINGKATKAN KEMAPUAN MENULIS GURU MELALUI PELATIHAN PENELITIAN TINDAKAN KELAS (PTK) Ahmad, Ahmad; Ratu Perwira Negara, Habib; Irfan, Pahrul; Hammad, Rifqi; Abd. Latif, Kurniadin; Zulfikri, Muhammad; Arfa, Muhammad
Jurnal Interaktif: Warta Pengabdian Pendidikan Vol 3 No 2 (2023): Edisi Desember 2023
Publisher : Jurusan Ilmu Pendidikan, FKIP, Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/interaktif.v3i2.108

Abstract

The purpose of this service is to improve teachers' writing skills through the application of Classroom Action Research Training (PTK). This activity is in collaboration with the West Lombok School Principals Group (MKKS) and the Basic Education Quality Improvement Agency (BPMPD) (CLUSTER VI Lingsar District). The training organized involves a series of structured activities designed to improve teacher skills in Compiling and creating research reports Classroom actions which are further amended in the form of research articles. By involving teachers as agents of change, this dedication has succeeded in creating a dynamic and responsive learning environment. In addition, teachers have developed skills of analysis, reflection, and adjustment of their learning practices. Thus, the conclusion of this service confirms that the teachers who participated in the PTK training have been able to understand all the material presented and create a positive impact to develop themselves in the learning process that is inseparable from the implementation of classroom action research (PTK) in the classroom.
Improvement of Spelling Correction Accuracy in Indonesian Language through the Application of Hamming Distance Method Qulub, Mudawil; Hammad, Rifqi; Irfan, Pahrul; Yuliana, Yuliana
Journal of Applied Informatics and Computing Vol. 7 No. 2 (2023): December 2023
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v7i2.5926

Abstract

Spelling correction is a critical feature in software to reduce typing errors, commonly found in document processing software and smartphone keyboards. This research aims to evaluate the accuracy of the Hamming Distance method in correcting words in the Indonesian language, both standard and non-standard forms. The research data is derived from a previous study and comprises 60 standard and non-standard Indonesian words. Typos are generated by considering the layout of letters on the QWERTY keyboard. Typing error data is divided into two groups, namely words with 1 and 2 character differences. The first test is conducted on standard words, achieving an accuracy rate of 98.33% for 1 and 2 character differences. Subsequent testing on non-standard words shows an accuracy rate of 100% for 1 character difference and 96.67% for 2 character differences. The results of this research highlight the potential of the Hamming Distance method in improving the quality of spelling correction in the Indonesian language.
Meningkatkan Keamanan Web Server Nginx dengan NAXSI sebagai Web Application Firewall Innuddin, Muhammad; Irfan, Pahrul; Hammad, Rifqi
Jurnal Aplikasi Teknologi Informasi dan Manajemen (JATIM) Vol 4 No 2 (2023): Jurnal Aplikasi Teknologi Informasi dan Manajemen (JATIM) Oktober 2023
Publisher : Fakultas Teknik Universitas Islam Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31102/jatim.v4i2.2310

Abstract

Teknologi informasi dari generasi sebelumnya hingga saat ini semakin cepat sehingga pemeliharaan dan peningkatan keamanan menjadi faktor penting yang harus diperhatikan dalammerancang dan membangun WebServer. Pemeliharaan layanan dengan menerapkan sistem keamanan sangat penting dilakukan untuk mencegah pihak yang tidak berwenang memperoleh informasi penting atau merusak sebuah sistem dengan berbagai jenis serangan berbahaya. Penerapan keamanan bertujuan untuk mencegah serangan yang dilakukan seperti mengubah tampilan website, pencurian password atau membuat WebServer tidak dapat bekerja secara normal. NAXSI merupakan WebApplicationFirewall (WAF) untuk mengatasi permasalahan keamanan pada WebServerNginx dengan melakukan logging pada aktivitas Web secara realtime untuk memantau lalu lintas HTTP. Jika terdapat permintaan berbahaya maka akan ditolak dan diarahkan ke halaman forbidden. Penelitian ini menggunakan metode NetworkDevelopmentLifeCycle (NDLC). Terdapat 5 skenario dilakukan dalam uji cobadiantaranya,InformationGathering menggunakan WhatWeb dan DirBuster, HTTPAttack, XSSAttack serta BruteForceLogin menggunakan WPScan. Pengujian performansi penanganan serangan pada WebServer menggunakan dua scenario yaitu sebelum diaktifkan dan setelah diaktifkan NAXSI. Kesimpulan dari penelitian ini adalah performa NAXSI sangat baik dalam melindungi WebServerNGINX dari berbagai jenis ancaman serangan berbahaya yang diuji karena NAXSI dapat mendeteksi dan mencegah adanya serangan dan dapat menstabilkan nilai CPUusage, penggunaan memori serta mampu menormalkan traffic jaringan.
Implementasi Sistem Informasi Akuntansi pada Usaha Dagang dengan Metode Pengembangan Perangkat Lunak Waterfall Ismarmiaty, Ismarmiaty; Irfan, Pahrul; Al Faras, Daffa ilyas
Riset, Ekonomi, Akuntansi dan Perpajakan (Rekan) Vol 5 No 1 (2024): Riset, Ekonomi, Akuntansi dan Perpajakan (Rekan )
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/rekan.v5i1.3337

Abstract

Dafifa is engaged in the savings and loan trading business which was founded in 2008 until now. The problem faced is that the preparation of daily financial reports is still done manually with a ledger. The proposed solution is to implement a website-based accounting information system, which is required by trading businesses to process customer data, process loan transactions and financial reporting. The method used in this study is the waterfall software development method, namely the stages of analysis, design, coding and testing. The conclusion from the study is that the website-based accounting information system at UD. Dafifa has been successfully implemented in accordance with the analysis and design. In addition, the results of testing on users show that this application is considered to be in accordance with user needs to be able to process transaction data to financial reporting more effectively and efficiently.
IMPLEMENTASI LENET-5 DAN MOBILENET-V2 UNTUK KLASIFIKASI KEMATANGAN BUAH CABAI BERBASIS COMPUTER VISION Hadi, Risman; Dwiyansaputra, Ramaditia; Irfan, Pahrul
JATI (Jurnal Mahasiswa Teknik Informatika) Vol. 9 No. 1 (2025): JATI Vol. 9 No. 1
Publisher : Institut Teknologi Nasional Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/jati.v9i1.12725

Abstract

Tingginya konsumsi cabai rawit menjadikannya komoditas dengan permintaan yang selalu tinggi, sehingga memiliki nilai ekonomi yang signifikan bagi para petani . Terlebih lagi, makanan khas Pulau Lombok seperti pelecing kangkung, ayam taliwang, dan bebalung sangat ditentukan cita rasanya oleh cabai sebagai salah satu bahan utama untuk bumbu. Permintaan cabai yang cenderung tinggi sepanjang tahun tanpa mengenal musim menciptakan tantangan dalam pengelolaan kualitas cabai di pasaran. Identifikasi kualitas buah cabai yang masih dilakukan secara visual oleh petani sering kali menghasilkan kesalahan dalam proses sortir yang dapat merugikan konsumen. Oleh karena itu, diperlukan penerapan teknologi computer vision untuk mengatasi masalah ini. Penelitian ini mengimplementasikan arsitektur CNN yaitu Lenet-5 dan MobileNet-V2. Lenet-5 memiliki kelebihan dalam kesederhanaan struktur dan kebutuhan komputasi yang rendah, sehingga cocok digunakan pada perangkat dengan sumber daya terbatas. MobileNet-V2 memiliki unggul dalam efisiensi parameter dan kinerja yang optimal untuk perangkat mobile atau aplikasi real-time. Hasil penelitian menunjukkan bahwa model arsitektur Lenet-5 menunjukkan performa lebih baik dengan accuracy 99%, precission 1.00, recall 1.00 dan F-1 Score 1.00, sedangkan model arsitektur MobileNet-V2 memiliki accuracy 100%, precission 1.00, recall 1.00 dan F-1 Score 0,95. Hal tersebut menunjukkan potensi computer vision berbasis CNN untuk meningkatkan akurasi dan efisiensi dalam klasifikasi tingkat kematangan buah cabai.
Frontend Implementation of UI/UX Design of Sumbawa District Agricultural Service Website using React JS Framework: IMPLEMENTASI FRONTEND DARI DESIGN UI/UX WEBSITE DINAS PERTANIAN KABUPATEN SUMBAWA MENGGUNAKAN FRAMEWORK REACT JS Muayyadin, Muhammad; Irfan, Pahrul; Rassy, Regania Pasca
Jurnal Begawe Teknologi Informasi (JBegaTI) Vol. 6 No. 1 (2025): JBegaTI
Publisher : Program Studi Teknik Informatika, Fakultas Teknik Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jbegati.v6i1.1326

Abstract

Dinas Komunikasi dan Informatika (Kominfo) Kabupaten Sumbawa bekerja sama dengan Dinas Pertanian Kabupaten Sumbawa dalam mengembangkan sistem informasi berbasis digital, yaitu Sistem Informasi Pertanian Sumbawa (SiTAWA), untuk meningkatkan efisiensi layanan publik di sektor pertanian. Implementasi frontend dari sistem ini memainkan peran penting dalam memastikan pengalaman pengguna yang optimal dalam mengakses layanan pengaduan masyarakat, pengumpulan data pertanian, dan penyusunan laporan bulanan. Penelitian ini berfokus pada pengembangan dan implementasi frontend dari desain UI/UX SiTAWA menggunakan framework React JS. React JS dipilih karena keunggulannya dalam membangun antarmuka yang responsif, modular, dan mudah dikelola. Melalui pendekatan desain UI/UX yang baik, diharapkan sistem ini dapat meningkatkan aksesibilitas, efisiensi, serta transparansi layanan pertanian bagi masyarakat dan pemerintah daerah. Hasil penelitian menunjukkan bahwa implementasi frontend berbasis React JS mampu meningkatkan efisiensi dalam proses pelaporan dan pengaduan digital. Selain itu, penerapan prinsip UI/UX yang tepat berkontribusi terhadap peningkatan pengalaman pengguna, baik dari sisi petani, masyarakat, maupun pihak dinas terkait. Dengan demikian, SiTAWA dapat menjadi langkah awal dalam mendukung transformasi digital sektor pertanian di Kabupaten Sumbawa.
Development of an Integrated Lecturer Workload Monitoring Information System Using the Prototype Model: PENGEMBANGAN SISTEM INFORMASI PEMANTAUAN BEBAN KERJA DOSEN TERINTEGRASI BERBASIS PROTOTIPE Irfan, Pahrul; Wijaya, I Gede Pasek Suta; Akhyar, Halil; Zubaidi, Ariyan; Zafrullah, Ahmad
Jurnal Begawe Teknologi Informasi (JBegaTI) Vol. 6 No. 2 (2025): JBegaTI
Publisher : Program Studi Teknik Informatika, Fakultas Teknik Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jbegati.v6i2.1463

Abstract

Pemantauan beban penugasan dosen di Program Studi Teknik Informatika, Fakultas Teknik, Universitas Mataram masih dilakukan secara manual dan terpisah. Kondisi ini menyulitkan proses pemantauan serta berpotensi menimbulkan ketidakseimbangan distribusi tugas akademik maupun non-akademik. Untuk mengatasi permasalahan tersebut, dilaksanakan kegiatan pengabdian berupa pengembangan sistem informasi terintegrasi menggunakan metode prototipe, yang meliputi tahapan analisis kebutuhan, perancangan, pengembangan, pengujian, dan implementasi awal. Hasil pengujian menunjukkan sistem berfungsi sesuai spesifikasi berdasarkan Blackbox Testing, sedangkan uji System Usability Scale (SUS) terhadap delapan responden memperoleh skor rata-rata 84,06 yang termasuk kategori Excellent. Temuan ini membuktikan bahwa sistem mudah digunakan, diterima pengguna, dan mendukung efektivitas pemantauan beban kerja dosen. Dengan adanya sistem ini, Program Studi dapat memantau distribusi tugas secara lebih menyeluruh, adil, dan efisien. Selain itu, sistem berpotensi dikembangkan lebih lanjut agar dapat diterapkan tidak hanya di Program Studi Teknik Informatika, tetapi juga pada program studi lain dalam rangka meningkatkan kualitas manajemen beban kerja dosen di lingkungan perguruan tinggi.
Data Augmentation-Driven Predictive Performance Refinement in Multi-Model Convolutional Neural Network for Cocoa Ripeness Prediction Apriani, Apriani; Switrayana, I Nyoman; Hammad, Rifqi; Irfan, Pahrul; Pratama, Gede Yogi
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 5 (2025): JUTIF Volume 6, Number 5, Oktober 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.5.5298

Abstract

Timely and accurate prediction of cocoa fruit ripeness is critical for optimizing harvest schedules, improving yield quality, and supporting post-harvest processing. Conventional visual inspection methods are prone to subjectivity and inconsistencies, especially when distinguishing among multiple ripeness levels based on fruit age. This study proposes a deep learning approach that leverages multi-model convolutional neural network transfer learning combined with image data augmentation to classify cocoa fruit into four maturity stages derived from fruit age. An augmented dataset of cocoa fruit images was used to fine-tune five well-established pre-trained models: MobileNetV2, Xception, ResNet50, DenseNet121, and DenseNet169. Data augmentation techniques were employed to increase variability and improve model generalization. Model evaluation was conducted using a standard 80:20 training-to-testing split to ensure sufficient data for learning while preserving a representative test set across all ripeness classes. The results demonstrate that DenseNet169 consistently outperformed other models, achieving the highest average accuracy of 85,05%, followed by DenseNet121 84,06%. Across all models, the use of data augmentation led to notable performance gains, highlighting its importance in enhancing predictive capability and reducing overfitting. The proposed framework shows promising potential for automating ripeness classification in agricultural contexts, offering a robust, scalable, and accurate solution for intelligent cocoa harvest management. This work contributes to the growing application of deep learning in precision agriculture, particularly in addressing fine-grained classification problems using limited but enriched visual data.
Co-Authors - STMIK Bumigora, Apriani Adriyansah Efendi Noor Ahmad Ahmad Ahmad Ahmad Ahmad Ahmad Zuli Amrullah Al Faras, Daffa ilyas Amdila Rahmadi Andi Sofyan Anas Apriani Apriani Apriani Apriani Arfa, Muhammad Azhari, Anjas Ardiyan Cahyablindar, Ayu Cristofer Satria Ekaputra, Galang Prasetya Faizin Ahmad Fatimatuzzahra Fatimatuzzahra Gilang Primajati Habib Ratu Perwira Negara Hadi, Risman Hairani Hairani Halil Akhyar Hammad, Rifqi I Gede Pasek Suta Wijaya I Nyoman Switrayana Ismarmiaty, Ismarmiaty Kartarina, Kartarina Kurniadin Abd Latif Lalu Rojib Cipto M. Hidayatullah Mardedi, Lalu Zazuli Azhar Muayyadin, Muhammad Mudawil Qulub Muhamad Azwar Muhammad Ali Akbar Hutasuhut Muhammad Dani Muhammad Haris Nasri Muhammad Innuddin Muhammad Yunus Muhammad Zulfikri Muhammad Zulfikri Nanang Samudra Novaely Rachman Pratama, Gede Yogi Ramaditia Dwiyansaputra Rassy, Regania Pasca Rifqi Hammad Rony Arzian Rukmin Ulfa Ayu Lestari Satria, Cristofer Suriyati ., Suriyati Syahrir, Moch. Yudi prayudi Yuliana Yuliana Zaenal Abidin Zaenal Abidin Zafrullah, Ahmad Zubaidi, Ariyan Zuhrian, Naufal Rifqi Zulfikri, Muhammad