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All Journal Jurnal Algoritma JAIS (Journal of Applied Intelligent System) JITK (Jurnal Ilmu Pengetahuan dan Komputer) JMM (Jurnal Masyarakat Mandiri) Jurnal Sistem Komputer dan Informatika (JSON) Jurnal Teknik Informatika (JUTIF) Jurnal Kewarganegaraan Journal of Community Development Jurnal PkM MIFTEK Jurnal Algoritma Integrated : Journal Of Information Technology and Vocational Education
Muhammad Rikza Nashrulloh
Institut Teknologi Garut
Humanities Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Engineering Languange, Linguistic, Communication & Media Nursing Public Health Social Sciences Other

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Pendampingan Kelompok UMKM di Garut Dalam Penggunaan Dompet Digital Untuk Mendukung Ekonomi Digital Rina Kurniawati; Leni Fitriani; Muhammad Rikza Nashrulloh
Journal of Community Development Vol. 5 No. 3 (2025): April
Publisher : Indonesian Journal Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47134/comdev.v5i3.1292

Abstract

The community service program aimed to enhance the competitiveness of Micro, Small, and Medium Enterprises (MSMEs) in Garut Regency through the implementation of digital wallet technology. Addressing the challenges of market access and financial management faced by MSMEs, the program developed an application called MitraREID. This application was designed to assist MSMEs in managing transactions, recording expenses, generating financial reports, and optimizing product management. The implementation process included socialization, intensive training, application deployment, and technical assistance involving the UMKM community, Mikromega, in Garut. The results indicated a significant improvement in the MSMEs' ability to utilize digital technology for daily operations. The MitraREID application facilitated business management, enhanced transaction efficiency, and allowed MSMEs to structure their financial management more effectively. The program's impact was quantitatively measured by pre- and post-test scores, which showed an increase from an average of 79/100 before training to 99/100 after training. This significant improvement demonstrated the enhanced digital skills and understanding of participants in utilizing digital wallet technology to support their business operations, enabling them to compete more effectively in local and national markets.
Integrasi Payment Gateway Dalam Sistem Keuangan Sekolah Rinda Cahyana; Muhammad Rikza Nashrulloh; Hary Sholahudin
Jurnal Algoritma Vol 23 No 1 (2026): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.23-1.1664

Abstract

Madrasah Aliyah Ma'arif Cilageni Kadungora is a formal educational institution established specifically for senior high school education. Madrasah Aliyah certainly has supervision, a financial payment system for tuition fees, and other payment systems. One of the problems in managing financial data for tuition payments is that it is still done manually, through written records and conventional number management applications. The focus of the problem may be on data recording or recapitulation, which is time-consuming and has a high level of human error. The methodology used in creating this system is the Rational Unified Process (RUP) with four stages: Inception, Elaboration, Construction, and Transition. System modeling was performed using the Unified Modeling Language (UML), and the programming language used was PHP with the Laravel framework. The main objectives of this system are to facilitate schools in managing finances, reduce delays in tuition payments, and provide tuition payment information to parents or guardians of students via WhatsApp notifications. The results of the study show that students can make payments via Virtual Account, Bank Transfer, QRIS, or other methods. With the existence of Payment Gateway technology, it is proposed as a solution so that the payment process is automatically recorded in the madrasah's financial system, enabling schools to provide better services.
Klasifikasi Citra X-Ray Pneumonia Menggunakan Convolutional Neural Network (CNN) dengan Eksplorasi Tekstur Gabor Filter Sigit Hudawiguna; Muhammad Rikza Nashrulloh; Mita Tri Andari
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 7 No. 4 (2026): Juni 2026
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v7i4.9704

Abstract

Pneumonia merupakan salah satu penyakit pernapasan yang dapat dideteksi melalui citra X-ray dada, ditandai dengan munculnya infiltrat pada paru-paru. Proses diagnosis manual oleh tenaga medis memerlukan waktu dan berpotensi menghasilkan subjektivitas, sehingga diperlukan pendekatan berbasis kecerdasan buatan. Penelitian ini bertujuan mengembangkan model klasifikasi pneumonia menggunakan metode Convolutional Neural Network (CNN) yang dikombinasikan dengan eksplorasi Gabor Filter untuk analisis tekstur citra. Metodologi yang digunakan adalah sEMMA (Sample, Explore, Modify, Model, Assess). Dataset yang digunakan bersumber dari Kaggle berjumlah 5.216 citra yang terbagi menjadi dua kelas, yaitu normal dan pneumonia, dengan pembagian data training dan validation menggunakan rasio 80:20. Tahap preprocessing meliputi resize citra, konversi grayscale, augmentasi data, normalisasi, serta penerapan Gabor Filter sebagai analisis tekstur. Model CNN dibangun secara kustom dan dilatih menggunakan optimizer Adam. Hasil evaluasi menunjukkan bahwa model mencapai akurasi 90,61%, presisi 98,97%, recall 88,12%, dan F1-score sebesar 0,9323. Selain itu, nilai AUC-ROC sebesar 0,9854 dan AUC-PR sebesar 0,9950 menunjukkan kemampuan klasifikasi yang baik. Hasil penelitian ini menunjukkan bahwa metode yang diusulkan berpotensi mendukung diagnosis pneumonia berbasis citra medis.
Penerapan Metode Forward Chaining Untuk Mendeteksi Kerusakan pada Smartphone Yoga Handoko Agustin; Muhammad Rikza Nashrulloh
Jurnal Kewarganegaraan Vol 6 No 2 (2022): Desember 2022
Publisher : UNIVERSITAS PGRI YOGYAKARTA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31316/jk.v6i2.1705

Abstract

Abstrak Smartphone merupakan telepon pintar yang memiliki kemampuan seperti komputer. Seiring berkembangnya teknologi saat ini smartphone tidak hanya memiliki fungsi untuk menelepon dan mengirim pesan. Penggunaan smartphone yang terlalu sering menjadi salah satu faktor pemicu kerusakan yang ditimbulkan, seperti terkena air, terjatuh atau kesalahan perawatan dalam pemakaian sehari-hari. Alat bantu berupa sistem pakar reparasi smartphone diperlukan dalam memberikan deteksi kerusakan smartphone sehingga pengguna tidak harus langsung membawa smartphone-nya ke tempat reparasi smartphone. Forward Chaining digunakan sebagai model penalaran yang digunakan untuk mendeteksi kerusakan dimulai dari gejala-gejala yang nantinya dapat disimpulkan jenis kerusakannya. Metode Expert System Development Life Cycle (ESDLC) dengan tahapan Assesment, Knowledge Acquisition, Design, Testing, Documentation dan Maintenance. Hasil dari penelitian ini yaitu Sistem pakar ini sudah mampu memberikan informasi kerusakan pada smartphone, menampilkan form konsultasi dan menampilkan hasil konsultasi sesuai dengan kaidah produksi selain itu juga sistem pakar ini dapat membantu para pengguna smartphone dalam mengetahui langkah awal dan jenis kerusakan. Kata Kunci : Jurusan, Sistem Pakar, ESDLC, Forward Chaining. Abstract Smartphone is a smart phone that has capabilities like a computer. As technology develops, smartphones do not only have functions for calling and sending messages. The use of smartphones that are too frequent is one of the factors that trigger the damage caused, such as being exposed to water, falling or maintenance errors in daily use. A tool in the form of a smartphone repair expert system is needed in providing detection of smartphone damage so that users do not have to immediately bring their smartphone to a smartphone repair place. Forward Chaining is used as a reasoning model that is used to detect damage starting from the symptoms which can later be concluded the type of damage. Expert System Development Life Cycle (ESDLC) method with the stages of Assessment, Knowledge Acquisition, Design, Testing, Documentation and Maintenance. The results of this study are that this expert system has been able to provide information on damage to smartphones, display a consultation form and display the results of consultations in accordance with production rules, besides that this expert system can help smartphone users in knowing the initial steps and types of damage. Keywords: Smartphone, Expert System, ESDLC, Forward Chaining.
TRANSFORMER-BASED GENERATIVE CHATBOT FOR HIGHER EDUCATION INFORMATION SERVICES WITH HYPERPARAMETER OPTIMIZATION AND MODEL EVALUATION Leni Fitriani; Endang Prayoga Hidayatulloh; Dede Kurniadi; Muhammad Rikza Nashrulloh
JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) Vol. 12 No. 1 (2026): JITK Issue August 2026
Publisher : LPPM Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/jitk.v12i1.8295

Abstract

Generative AI has revolutionized the creation of realistic multimedia content, including chatbots that generate human-like responses. This technology significantly improves higher education by enabling universities to provide fast, accurate, and efficient information services. Generative chatbots can handle multiple users simultaneously and operate 24/7, increasing productivity and accessibility. The model was developed using Machine Learning Lifecycle (MLLC) with deep learning algorithm and Transformer architecture. The dataset used consists of 5,403 question-answer pairs from Institut Teknologi Garut (ITG), which are divided into 5,089 pairs for training and 314 pairs for testing. From 12 hyperparameter configurations, the best combination (maxlen 80, num_layers 2, batch_size 128, embedding_dim 256, fully_connected_dim 256, num_heads 2, positional_encoding_length 512, learning_rate 0.0002, and epoch 100) achieved a BLEU score of 71.03% on the ITG dataset. Evaluation using ROUGE and METEOR also shows consistent performance, indicating good content coverage and semantic similarity. Retraining with another dataset using the same approach resulted in a slightly higher BLEU score of 72.05%, with a different optimal learning rate of 0.00025. The results of this study indicate that Transformer-based generative chatbots can support higher education services and highlight the importance of adjusting hyperparameters based on dataset characteristics. This research also provides opportunities to develop similar models in other universities by adapting datasets and exploring more advanced methods to improve performance in broader educational contexts.
Co-Authors Ade Sutedi Ade Sutedi Ade Sutedi Ade Sutedi Ai Karlina Akib, Yasir Al Alawiyah, Dini Alhakeem, Reinalgy Azni Alinurdin, Rendi Apriliani, Insani Asgara, Zidan Asri Mulyani Dede Kurniadi Deni Heryanto Deni Heryanto Dewi Tresnawati Dewi Tresnawati Dzulkhomzah, Moh. Rival Endang Prayoga Hidayatulloh Eri Satria Eri Satria Faris, Salman Adam Fauzi, Sandi Muhtar Fitri Nuraeni Hary Sholahudin Ilham Wahyudi Indri Tri Julianto Jaya, Mochamad Jipar, Muzaki Abdul Kifti, Jalaludin Latifah, Ayu Leni Fitriani Leni Fitriani Leni Fitriani, Leni M Rizki Nur Jamil Masripah, Ulpah Maulana, Moh. Alvin Apita Maulana, Yusep Meta Regita Mita Tri Andari Mubarok, Muhammad Imam Husni Muh Fauzan Al - Haq Muhammad Azmi, Muhammad Munajat, Ikbal Muttaqin, Iswan Nurul Muttaqin, Moch Riefky Chaerul Muzaky, Rifky Khoerul Nurhakim, Sultan Jabar Nurmahmudi, Raihan Nurodin, Azmi Miftah Oktaviany, Sindi Patria, Dhika Muhamad Putra, Bangbang Hartono Putri Apriyanti Putri, Anisa Devisa Ramadhan, Tasya Shakila Ramdan, Galih Muhammad Reski Ramadhani Rickard Elsen Rickard Elsen Rickard Elsen Ridha, Muhamad Munna Ar Ridwan Setiawan Ridwan Setiawan Ridwan Setiawan Ridwan Setiawan Rina Kurniawati Rina Kurniawati Rinda Cahyana Rinda Cahyana Rinda Cahyana Riyandi, Fachrry Al-Fachrizzy Rizki, Ikbal Sholahudin, Hary Sidik, Ghimnastiar Moch Sigit Hudawiguna Siti Luthfiah Khoirotunnisa SRI RAHAYU Sri Rahayu Yanti Yanti Yoga Handoko Agustin Yosep Septiana Yusnita Habsari Utami Zulfiansyah, Rezky