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All Journal Teika SPEKTRUM INDUSTRI Jurnal Informatika SMATIKA E-Dimas: Jurnal Pengabdian kepada Masyarakat JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Jurnal Teknoinfo Surya Abdimas JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) JOISIE (Journal Of Information Systems And Informatics Engineering) EDUMATIC: Jurnal Pendidikan Informatika Jurnal Tekno Kompak Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi JATI (Jurnal Mahasiswa Teknik Informatika) Jurnal Tekinkom (Teknik Informasi dan Komputer) JIKA (Jurnal Informatika) Infotek : Jurnal Informatika dan Teknologi Indonesian Journal of Cultural and Community Development Journal of Informatics, Information System, Software Engineering and Applications (INISTA) Jurnal Teknik Informatika (JUTIF) Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) JEEE-U (Journal of Electrical and Electronic Engineering-UMSIDA) J-SAKTI (Jurnal Sains Komputer dan Informatika) Indonesian Journal of Education Methods Development Indonesian Journal of Innovation Studies Indonesian Journal of Public Policy Review Prosiding Seminar Nasional Teknik Elektro, Sistem Informasi, dan Teknik Informatika (SNESTIK) PELS (Procedia of Engineering and Life Science) Procedia of Social Sciences and Humanities Indonesian Journal of Islamic Studies JOINCS (Journal of Informatics, Network, and Computer Science) SAGA: Journal of Technology and Information Systems Prosiding SEMNAS INOTEK (Seminar Nasional Inovasi Teknologi) Innovative Technologica: Methodical Research Journal Physical Sciences, Life Science and Engineering Indonesian Journal of Applied Technology Journal of Technology and System Information Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Journal of Electrical Engineering Journal for Technology and Science semanTIK Journal of Blockchain, Nfts and Metaverse Technology IJHCS JuTISI (Jurnal Teknik Informatika dan Sistem Informasi) Smatika Jurnal : STIKI Informatika Jurnal Academia Open Journal of Artificial Intelligence and Digital Economy
Mochamad Alfan Rosid
Program Studi Informatika, Universitas Muhammadiyah Sidoarjo, Indonesia
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Implementation of an Academic Information Chatbot Based on Retrieval-Augmented Generation (RAG) Using LLaMA 3.1 Mochamad Alfan Rosid; Muhammad Saddam Heykal Bustomy; Suprianto; Hamzah Setiawan
International Journal on Human-Computing Studies Vol. 8 No. 1 (2026): International Journal of Human Computing Studies (IJHCS)
Publisher : Research Parks Publishers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31149/ijhcs.v8i1.5768

Abstract

Providing fast and accurate academic information is a fundamental requirement for universities. However, users often experience difficulties in efficiently searching for specific information on study program websites. This study aims to develop a Retrieval-Augmented Generation (RAG)-based academic information chatbot that is directly integrated with the Informatics Study Program website at Muhammadiyah University of Sidoarjo. The system was built using the LangGraph architecture, ChromaDB vector database, and LLaMA 3.1 model through the Groq API. Testing was conducted using the RAGAS framework to assess the quality of answers and load testing for system performance. The results showed that the system achieved a Context Precision score of 0.86 and a Faithfulness score of 0.77, indicating high relevance and accuracy of answers. In addition, the implementation of the Groq API resulted in an average response latency of 2.11 seconds with a 94% success rate in load testing. These findings indicate that the RAG-based chatbot is effective in overcoming website limitations in delivering academic information at the Informatics Study Program at Muhammadiyah University of Sidoarjo.
Development of the MY PERPUS Digital Library Website at SMA Muhammadiyah 4 Porong Muhammad Najih Fairuzzamani; Mochamad Alfan Rosid; Nuril Lutvi Azizah; Ade Eviyanti
International Journal on Human-Computing Studies Vol. 8 No. 2 (2026): International Journal of Human Computing Studies (IJHCS)
Publisher : Research Parks Publishers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31149/ijhcs.v8i2.5771

Abstract

The rapid development of information technology has encouraged educational institutions to adopt digital-based systems to improve the effectiveness of administrative management, including school library services. The library of SMA Muhammadiyah 4 Porong still applies a manual system, which causes several problems such as recording errors, difficulties in searching for books, and inefficiency in the borrowing and returning process. This study aims to develop a website-based library information system called MY PERPUS to support library administration and improve service quality. The development method used in this research is the Waterfall model, which consists of requirement analysis, system design, and website development stages. Data were collected through observation and interviews with library staff and visitors. The developed system is equipped with login and registration features, book master data management, borrowing and returning transactions, and book return reminder notifications via Gmail. System testing using the black-box testing method indicates that all features function properly and produce outputs that meet the expected results. Therefore, the MY PERPUS website is able to improve the efficiency of library management, facilitate book searching, and help minimize delays in book returns..
PENGEMBANGAN SISTEM INFORMASI PELACAKAN PENGIRIMAN BERBASIS WEB UNTUK OPTIMASI LAYANAN EKSPEDISI Niko Dwi Novana; Uce Indahyanti; Novia Ariyanti; Mochamad Alfan Rosid
JATI (Jurnal Mahasiswa Teknik Informatika) Vol. 10 No. 1 (2026): JATI Vol. 10 No. 1
Publisher : Institut Teknologi Nasional Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/jati.v10i1.16636

Abstract

Perkembangan industri logistik dan ekspedisi menuntut adanya sistem pelacakan pengiriman yang mampu menyediakan informasi secara cepat, akurat, dan mudah diakses. Banyak perusahaan masih mengalami kendala karena proses pelacakan yang masih dilakukan secara manual sehingga informasi yang diberikan kepada pelanggan menjadi kurang optimal. Penelitian ini bertujuan merancang dan membangun sistem informasi pelacakan pengiriman berbasis web untuk mendukung peningkatan kualitas layanan pada perusahaan ekspedisi. Pengembangan sistem dilakukan menggunakan metode Waterfall yang mencakup tahap analisis, perancangan, implementasi, pengujian, dan pemeliharaan. Teknologi yang diterapkan meliputi React.js pada sisi antarmuka pengguna, Node.js sebagai server backend, dan SQLite sebagai basis data. Sistem menyediakan fitur pengelolaan data pengiriman, pembaruan status oleh admin dan kurir, pencarian status berdasarkan nomor resi, serta pembuatan surat jalan otomatis. Hasil pengujian menggunakan metode Black Box terhadap 6 fitur utama menunjukkan bahwa seluruh fungsi berjalan sesuai dengan spesifikasi yang ditetapkan dan menghasilkan keluaran yang tepat. Seluruh proses pelacakan, pembaruan status, hingga pembuatan dokumen pendukung dapat dijalankan sebagaimana mestinya
MODEL PREDIKSI PERSEPSI PENGGUNA DUOLINGO BERDASARKAN KOMENTAR DIGITAL Brigide Tirenia Loresta; Uce Indahyanti; Irwan Alnarus Alkautsar; Mochamad Alfan Rosid
JATI (Jurnal Mahasiswa Teknik Informatika) Vol. 10 No. 2 (2026): JATI Vol. 10 No. 2
Publisher : Institut Teknologi Nasional Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/jati.v10i2.17829

Abstract

Duolingo merupakan aplikasi pembelajaran bahasa yang banyak digunakan dan memperoleh beragam ulasan pengguna di Google Play Store. Ulasan tersebut mencerminkan persepsi pengguna terhadap kualitas dan efektivitas aplikasi. Permasalahan yang muncul adalah banyaknya data teks tidak terstruktur serta ketidakseimbangan distribusi kelas sentimen, sehingga diperlukan metode klasifikasi yang mampu menghasilkan prediksi akurat dan seimbang. Penelitian ini bertujuan membangun model prediksi persepsi pengguna Duolingo serta membandingkan kinerja algoritma Support Vector Machine (SVM) dan Decision Tree dalam mengklasifikasikan sentimen positif dan negatif. Dataset yang digunakan berjumlah 10.000 ulasan  periode 2020–2025. Tahapan penelitian meliputi preprocessing, pelabelan semi-otomatis berbasis leksikon, ekstraksi fitur menggunakan TF-IDF, pembagian data 80:20 dan 70:30, serta penanganan imbalance menggunakan Random Oversampling (ROS). Evaluasi dilakukan dengan confusion matrix menggunakan metrik akurasi, presisi, recall, dan F1-score. Hasil penelitian menunjukkan bahwa SVM pada rasio 80:20 dengan kondisi imbalance memperoleh akurasi tertinggi sebesar 93,57%, sedangkan penerapan ROS meningkatkan recall kelas negatif menjadi 56,19%. Dengan mempertimbangkan keseimbangan kinerja, SVM dengan ROS dinilai sebagai model yang paling optimal.
Implementation of Metasploit Framework on Android Platform in a Single Network Muhammad Fitra Gemilang; Arif Senja Fitrani; Mochamad Alfan Rosid; S Sumarno
SAGA: Journal of Technology and Information System Vol. 4 No. 1 (2026): February 2026
Publisher : CV. Media Digital Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58905/saga.v4i1.608

Abstract

This study discusses the implementation of the Metasploit Framework on the Android platform within a single network. The objective of this research is to analyze the vulnerability of Android devices to backdoor attacks using penetration testing tools. The payload in the form of an APK file was created using msfvenom and tested on Android devices within a local network. The results showed successful exploitation, including access to SMS, call logs, and device location. This study highlights the need for security awareness among Android users and the importance of preventive measures.
Implementasi Fitur Notifikasi Whatsapp API pada Sistem Manajemen Tugas Akhir Dimas Bayu Anjasmara; Mochamad Alfan Rosid; Ade Eviyanti
Physical Sciences, Life Science and Engineering Vol. 1 No. 2 (2024): March
Publisher : Indonesian Journal Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47134/pslse.v1i2.197

Abstract

Simanta adalah aplikasi yang digunakan untuk melayani mahasiswa dalam pengelolaan Tugas Akhir mahasiswa. Diadakannya penelitian ini supaya aplikasi ini dapat melakukan pengiriman pesan notifikasi secara otomatis, pengiriman pesan secara otomatis menggunakan sistem Whatsapp API untuk menyampaikan pesan notifikasi atas aksi yang telah dilakukan dalam sistem. Dengan implementasi fitur notifikasi Whatsapp API pada SIMANTA didapatkan pengguna menjadi lebih mudah dalam menerima pemberitahuan terhadap aksi yang dilakukan pengguna dalam sistem SIMANTA. Metode Addie dipilih karena cocok bagi pengembangan sistem secara fleksibel dan efisien. Hasil penelitian membuat Sistem SIMANTA lebih praktis dan membuat pesan pemberitahuan lebih efektif untuk digunakan.
Implementasi Frida Framework untuk Manipulasi Alur Kerja pada Aplikasi Android Aldo Reghan Ramadhan; Arif Senja Fitriani; Mochamad Alfan Rosid; Cindy Taurusta
Physical Sciences, Life Science and Engineering Vol. 1 No. 2 (2024): March
Publisher : Indonesian Journal Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47134/pslse.v1i2.198

Abstract

Peningkatan keamanan pada perangkat Android telah menjadi tantangan bagi para peneliti keamanan. Bypass root adalah salah satu metode yang sering digunakan untuk menghindari deteksi oleh mekanisme keamanan. Dalam penelitian ini, menjelaskan penggunaan Frida, sebuah framework dynamic instrumentation, untuk melakukan bypass root pada perangkat Android. Dengan memanfaatkan kemampuan Frida untuk melakukan intersepsi dan modifikasi kode pada saat runtime, dapat mengubah perilaku aplikasi yang mencoba mendeteksi keberadaan root. Penulis melakukan serangkaian percobaan menggunakan Frida dan berhasil melewati mekanisme deteksi root yang umum digunakan. Hasil penelitian ini menunjukkan potensi Frida sebagai alat yang efektif dalam melakukan bypass root dan serangkaian pengujian keamanan pada perangkat Android. Penelitian ini memberikan pemahaman lebih lanjut tentang penggunaan Frida dalam konteks keamanan perangkat Android.
Hybrid CNN-LSTM for Indonesian Cyberbullying Detection on Social Media X Muhammad Hafizh Fattah; Mochamad Alfan Rosid; Sukma Aji; Suprianto
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol. 9 No. 2 (2026): Issues January 2026
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v9i2.16938

Abstract

Cyberbullying on social media platform X has become a critical digital threat and requires automatic detection mechanisms to mitigate psychological impacts on victims. This study proposes a hybrid deep learning architecture that combines Convolutional Neural Network (CNN) for local feature extraction and Long Short-Term Memory (LSTM) for sequential context understanding in classifying Indonesian language cyberbullying comments. This study evaluates model performance using a dataset of 13,677 comments from social media X through a series of systematic testing scenarios, including the impact of regularization, utilization of FastText embeddings, and comparative studies against state-of-the-art models. Experimental results demonstrate that the Early Stopping mechanism is a critical factor in this architecture, where without this mechanism the model experiences accuracy degradation of up to 32%. The proposed CNN-LSTM model achieves 88.38% accuracy and 88.00% F1-Score, improving to 0.9559 AUC with FastText integration. This model achieves over 97% of IndoBERTweet's performance with 22 times lower computational complexity (4.97 million versus 110.88 million parameters) and outperforms machine learning methods such as SVM with an accuracy margin of more than 10 percentage points. This study concludes that the CNN-LSTM architecture offers a robust and efficient solution for cyberbullying detection, particularly for resource-constrained environments
Web-Based Tourism Information System for Pasuruan Regency Destinations Alan Budi Kusuma Kusuma; Ade Eviyanti; Mochamad Alfan Rosid Rosid; Azmuri Wahyu Azinar Azinar
Indonesian Journal of Cultural and Community Development Vol. 16 No. 3 (2025): September
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/etdcbd93

Abstract

General Background: Rapid advances in information technology enable regions to disseminate tourism information through accessible digital platforms. Specific Background: Pasuruan Regency possesses diverse natural, cultural, culinary, and religious attractions but lacks an integrated system that presents comprehensive and user-participatory tourism data. Knowledge Gap: Previous tourism information systems mainly provided static information without community contribution and administrative validation features. Aims: This study develops a web-based tourism information system that allows users to submit destination data subject to admin verification. Results: The system was built using the waterfall method, successfully passed black-box testing with fully valid functions, and achieved a System Usability Scale score of 68.75, categorized as grade C (acceptable). Novelty: The platform integrates public participation in destination submission with an admin validation workflow within a structured tourism database. Implications: The system provides an accessible medium for tourists and supports local authorities and communities in disseminating tourism information to broaden visitor reach and regional economic activity.
YouTube Sentiment Reveals Public Perception of Lapindo Mud Tourism: Analisis Sentimen YouTube Mengungkap Persepsi Publik terhadap Pariwisata Lumpur Lapindo Muhammad Iqbal Nahariqi; Yulian Findawati; Irwan Alnanrus Kautsar; Mochamad Alfan Rosid
Indonesian Journal of Cultural and Community Development Vol. 16 No. 3 (2025): September
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/ycffb102

Abstract

General Background: Social media platforms provide extensive public opinion data that can be utilized to understand perceptions of tourism destinations. Specific Background: YouTube comments related to Lapindo Mud tourism contain diverse viewpoints reflecting visitors’ experiences and societal responses to the site. Knowledge Gap: Limited studies analyze public sentiment toward disaster-related tourism destinations using machine learning–based text mining approaches. Aims: This study classifies YouTube user comments to identify sentiment patterns regarding Lapindo Mud tourism using TF-IDF weighting and the K-Nearest Neighbor (K-NN) algorithm. Results: From 520 labeled comments, the model achieved 78% accuracy, with higher precision and recall in identifying negative sentiment than positive sentiment. Novelty: The study integrates sentiment analysis, expert-based labeling, and tourism perception assessment to examine how digital discourse represents a disaster-turned-tourism site. Implications: Findings provide insights for tourism stakeholders and local authorities to understand public perception and inform strategies for managing the image and communication of Lapindo Mud as a tourism destination.
Co-Authors Ade Eviyanti Ade Eviyanti Hamzah Setiawan Adi Putra, Lutfi Agoeng Dwi Djoelianto Ahmad Angga Handoko Ahmad Syaichul Hadi aini firdausi nuzulla Aisha Hanif Alan Budi Kusuma Kusuma Aldo Reghan Ramadhan Alifiyah Rohmatul Hidayati Alim, Kholqi Amanda Aditya Sri Nengsih Aminy, Ritzana Aisyah Andre Aditya Pradana Andry Rachmadany Ardiansyah, Alfinas Ardilah, Diamond Heris Arief Senja Fitrani Arif Senja Fitrani Arif Senja Fitrani Arif Senja Fitriani Arif Senja Fitriani Azizah, Nuril Lutvy Azmuri Wahyu Azinar Azmuri Wahyu Azinar Azinar Bagus Dwi Kurniawan, Bagus Dwi Bagus Dwi Yulianto Brigide Tirenia Loresta Burnama, Zendhi Yuna Cindy Taurusta Damasta, Ifanda Reza Danu Pamungkas Darmawan, Dikky Putra Detak Prapanca Diana Cindy Agustin Dimas Bayu Anjasmara Dina Dwi Oktavia Rini Dony Rakhmad Hidayat Dwi Saka Dharmawan Edwin Pramana Eka Aditia Suherman Fahmi Anggara Santosa Fahreza Ramadhan Fajar Muharram Fauzan, Mochamad fil ardi, Mochamad kholifatu Ghozali Rusyid Affandi Gilang Virnando Gunawan Gunawan Gunawan Hadi, Miftakhul Hafid Pradana Hamzah Setiawan Haris Ahmad Gozali Hasan Basri Hindarto Ika Ratna Indra Astutik Ilham Dwi Cahyo Murti Leksono Imanudin, Giri Fajar Indah Rizqi Tsania Irwan Alnanrus Kautsar Irwan Alnarus Alkautsar Irwan Alnarus Kautsar Irwan Alnarus Kautsar Jamal Hasan Kurniawan, David Hogy Tri Mabrur, Moh Faris Ghossani Mardiono, Adimas Prasetyo Moch. Bahak Udin By Arifin Mochamad Rifqi Aminudin Mohamad Haris Muzadi Muhammad Fachruddin, Muhammad Muhammad Fitra Gemilang Muhammad Hafizh Fattah Muhammad Iqbal Nahariqi Muhammad Jamilul Iman Muhammad Muzany Mulyoutomo Muhammad Najih Fairuzzamani Muhammad Saddam Heykal Bustomy Muhammad Syauqil Nihlatul Qudus Sukma Nirwana Niko Dwi Novana Novia Ariyanti Nurdyansyah Nuril Lutvi Azizah Nursapdahi, Nursapdahi Pamungkas, Nicky Ibrahim Pandi Rais Prasetio, Aga Dandi Prasetyo, Agbar Pratama, Nikko Enggaliano Putri Nazilatul Fadhliyah Ramadhan, Mochammad Hisyam Syah Ratih Puspitasari Resa Rakhman Ribangun Bamban Jakaria Rizaldi, Dedy Rizky Eka Febriansah Robby Firmansyah Ardha Rohman Dijaya Rohman Dijaya Rukhi Alfian, Muhammad Ruri Aditya Pratama Sambada, Muhammad Arginanta Kafi Shiddiq, Zulfian Syahril Siti Nur Haliza Soni Abdala Suhendro Busono Sukma Aji Sumarno . Sumarno Sumarno Suprianto Syaichul Hadi, Ahmad Syaifudin, Hilmi Fajar Syamsiar, Syamsiar Tasya Fatmawati Arifin Tomi Eko Hidayat Triwahono, Handi Uce Indahyanti Uce Indahyanti Utama, Bagas Riski Witno, Kasaifi Al Qurdhowi Bin Yulian Findawati Yunianita Rahmawati Yusuf, Farid Maulana Zahputra, Aldy Trisza