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All Journal MEDISAINS Jurnal Sisfokom (Sistem Informasi dan Komputer) Infoman's: Jurnal Ilmu-Ilmu Manajeman dan Informatika INTERNAL (Information System Journal) Jurnal Teknik Informatika (JUTIF) Jurnal Interkom : Jurnal Publikasi Ilmiah Bidang Teknologi Informasi dan Komunikasi Journal of Artificial Intelligence and Digital Business Jurnal Manajemen Teknologi dan Sistem Informasi JPNM : Jurnal Pustaka Nusantara Multidisiplin Nuansa Informatika INTERNAL (Information System Journal) Jurnal Intelek Dan Cendikiawan Nusantara Jasmine : Journal of Intelligent Systems and Machine Learning
Irfan Fadil
Universitas Sebelas April
Religion Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Medicine & Pharmacology Nursing Public Health Social Sciences Other

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Perancangan Sistem Informasi Manajemen Rencana Pembangunan Desa Berbasis Website Menggunakan Metode Design Thinking (Studi Kasus: Desa Cijeungjing) Egi Rifaldi; Agun Guntara; Irfan Fadil
Jurnal Intelek Dan Cendikiawan Nusantara Vol. 2 No. 4 (2025): AGUSTUS - SEPTEMBER 2025
Publisher : PT. Intelek Cendikiawan Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Penelitian ini bertujuan untuk merancang sistem informasi manajemen rencana pembangunan desa berbasis website sebagai solusi untuk mengatasi kendala yang dihadapi oleh Desa Cijeungjing yang mengalami kendala dalam penyebaran informasi rencana pembangunan yang kurang maksimal terhadap masyarakat serta pengelolaan data yang masih dilakukan secara manual. Untuk menjawab permasalahan tersebut, penelitian ini mengusulkan perancangan sistem informasi berbasis web yang mampu mendukung pengelolaan data secara lebih terstruktur serta memfasilitasi penyebaran informasi yang lebih efektif. Penelitian ini menggunakan pendekatan Design Thinking, yang menekankan pada kebutuhan pengguna dengan lima tahapan utama: Empathize, Define, Ideate, Prototype, dan Test. Diharapkan, sistem yang dibangun dapat meningkatkan efisiensi pengelolaan data, memastikan keamanan penyimpanan informasi, dan mempercepat proses penyampaian informasi pembangunan desa secara terbuka dan transparan.
Performance Optimization of Support Vector Machine with SMOTE for Multiclass Stunting Prediction in Sumedang District, Indonesia Fadil, Irfan; Surya Manggala, Ramdani; Firmansyah, Esa; Helmiawan, Muhammad Agreindra
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 4 (2025): JUTIF Volume 6, Number 4, Agustus 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.4.4843

Abstract

The percentage of stunting toddlers in Sumedang Regency is the highest compared to other nutritional problems. Stunting imposes a significant risk to the future quality of human resources. This study explores the performance of the Support Vector Machine (SVM) algorithm in predicting the stunting status of toddlers in Tanjungmedar Subdistrict, the region with the highest incidence of stunting cases in Sumedang Regency in 2020. The testing uses RapidMiner software and applies the Synthetic Minority Oversampling Technique (SMOTE) to overcome the imbalanced dataset so that the resulting performance can be optimized. Accuracy, precision, recall, and F1-score are measured in performance evaluation using a confusion matrix. The findings demonstrate that SMOTE might adjust the distribution of target classes in the dataset to maximize the SVM algorithm's performance. At the start of the test, the SVM model produced an accuracy of 85.10%. After applying SMOTE, the accuracy of the SVM model increased to 89.08%. The F1-score also increased for each class, except for the Normal class, which decreased slightly. These results demonstrate the suitability of SVM combined with SMOTE for health-related multiclass classification tasks, especially in imbalanced public health datasets, contributing to the advancement of applied machine learning in healthcare informatics.
Evaluasi Usability Sistem Inlislite Menggunakan Metode Computer System Usability Questionnaire Pada Dinas Arsip Dan Perpustakaan Kabupaten Sumedang Lestari, Hilda; Guntara, Agun; Fadil, Irfan
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 4 No. 3 (2025): Agustus - October
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v4i3.2015

Abstract

Penelitian ini bertujuan untuk mengevaluasi usability sistem INLISLite yang digunakan di Dinas Arsip dan Perpustakaan Kabupaten Sumedang oleh petugas dalam kegiatan seperti pencatatan peminjaman, pengembalian, dan pengelolaan koleksi. Sistem ini telah digunakan sejak 2012 dan diperbarui pada 2020, namun masih terdapat beberapa kendala seperti antarmuka yang kurang intuitif dan keterbatasan informasi. Metode yang digunakan adalah Computer System Usability Questionnaire (CSUQ) yang mencakup tiga dimensi: System quality, Information quality, dan Interface quality. Data dianalisis menggunakan aplikasi RStudio untuk mengetahui validitas, reliabilitas, dan skor usability. Hasil penelitian menunjukkan bahwa seluruh item kuesioner valid dan reliabel. Skor rata-rata berada dalam kategori positif, meskipun dimensi Interface quality memiliki skor tertinggi, yang menunjukkan perlunya peningkatan pada aspek tampilan dan kemudahan penggunaan sistem. Penelitian ini diharapkan dapat menjadi masukan untuk pengembangan sistem INLISLite agar lebih mudah digunakan dan mendukung efektivitas kerja petugas. Sebagai penguatan interpretasi tingkat usability, hasil kuesioner CSUQ juga dikonversi ke dalam skala System Usability Scale (SUS). Hasil konversi menunjukkan bahwa skor CSUQ dari data Microsoft Form menghasilkan nilai 85,32 (kategori A+), sedangkan dari kuesioner cetak (Fisik) menghasilkan nilai 75,76 (kategori B+). Hal ini mengindikasikan bahwa sistem INLISLite memiliki tingkat usability yang baik hingga sangat baik.
Evaluasi Usability Tingkat Kegunaan Aplikasi Srikandi Berbasis Website Di Dinas Arsip dan Perpustakaan Sumedang Menggunakan Metode Post-Study System Usability Questionnaire Hania, Revita; Guntara, Agun; Fadil, Irfan
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 4 No. 3 (2025): Agustus - October
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v4i3.2016

Abstract

Penelitian ini bertujuan untuk mengevaluasi tingkat kegunaan (usability) Aplikasi Sistem Informasi Kearsipan Dinamis Terintegrasi (SRIKANDI) berbasis website di Dinas Arsip dan Perpustakaan Kabupaten Sumedang. Transformasi digital dalam sektor pemerintahan, khususnya di bidang kearsipan, menjadi kebutuhan strategis dalam menghadapi era Revolusi Industri 4.0. Meskipun 72% instansi pemerintah di Indonesia telah mengadopsi sistem arsip digital, hanya 46% yang berhasil mengoperasikannya secara efektif, menunjukkan tantangan signifikan pada aspek usability. Data dikumpulkan dari pengguna internal aplikasi SRIKANDI di Dinas Arsip dan Perpustakaan Kabupaten Sumedang melalui kuesioner PSSUQ versi 3.0 yang terdiri dari 16 pertanyaan dengan skala Likert 7 poin. Analisis data dilakukan secara sistematis melalui pemeriksaan kelayakan data, pengkodean, entri data ke R Studio, serta perhitungan statistik deskriptif untuk mengukur persepsi pengguna secara objektif.Hasil penelitian ini diharapkan memberikan gambaran komprehensif mengenai tingkat kegunaan aplikasi SRIKANDI serta menjadi dasar rekomendasi untuk perbaikan sistem di masa mendatang. Dengan demikian, kontribusi penelitian ini tidak hanya meningkatkan efektivitas kerja dan kepuasan pengguna di lingkungan pemerintah daerah , tetapi juga memperkaya literatur akademik dalam bidang evaluasi sistem informasi sektor publik, khususnya dalam konteks tata kelola pemerintahan digital.
Analisis Sentimen Publik Program Makan Bergizi Gratis Menggunakan Support Vector Machine M.Arif Firmansyah; Asep Saeppani; Irfan Fadil
JPNM Jurnal Pustaka Nusantara Multidisiplin Vol. 3 No. 4 (2025): December : Jurnal Pustaka Nusantara Multidisiplin (ACCEPTED)
Publisher : SM Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59945/jpnm.v3i4.805

Abstract

Ketersediaan gizi merupakan faktor utama yang menunjang pertumbuhan anak dan kualitas sumber daya manusia. Pemerintah Indonesia memperkenalkan Program Makan Bergizi Gratis (MBG) sebagai langkah strategis untuk mengatasi masalah gizi buruk dan stunting pada anak sekolah. Penelitian ini berfokus pada analisis sentimen masyarakat terhadap program MBG dengan memanfaatkan algoritma Support Vector Machine (SVM) berbasis pengolahan Bahasa Alami (NLP). Data berasal dari 1.574 komentar di media sosial X (Twitter) yang diproses melalui tahapan pembersihan data, tokenisasi, penghapusan stopword, stemming, dan pembobotan TF-IDF. Hasil pengujian menunjukkan bahwa model SVM meraih akurasi 78%, sedangkan Logistic Regression mencapai 82%, dengan sebagian besar sentimen publik cenderung positif. Temuan ini mengindikasikan bahwa masyarakat menerima MBG dengan baik. Penelitian ini turut memperlihatkan manfaat penerapan machine learning untuk menganalisis kebijakan publik dan dapat digunakan pemerintah sebagai acuan menyusun strategi komunikasi dan meningkatkan efektivitas program gizi nasional
Implementasi Sistem Informasi Manajemen Aset Kelompok Ternak Ikan Hias Sumedang Menggunakan Metode Prototype Fasya Zahira Badeni; Agun Guntara; Irfan Fadil
NUANSA INFORMATIKA Vol. 18 No. 2 (2024): Nuansa Informatika 18.2 Juli 2024
Publisher : FKOM UNIKU

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25134/ilkom.v18i2.228

Abstract

This study develops and implements an Asset Management Information System for Ornamental Fish Breeding Groups in Sumedang using the prototype method. The objective is to streamline the management of asset data, inventory, and asset condition monitoring in an efficient and organized manner. The prototype method was selected because it promotes intensive interaction between developers and users, enabling quick identification and resolution of needs and issues. The development stages include communication, planning, design modeling, prototype creation, and system implementation. This system features the ability to record and monitor assets, track asset loans, and log asset maintenance, thereby generating accurate reports and minimizing data errors. It is expected that this information system will help ornamental fish breeding groups in Sumedang manage their assets more effectively, boost productivity, and support the sustainability of their business.
IMPLEMENTASI SISTEM ERP MENGGUNAKAN APLIKASI ODOO DI IWEAR CLOTHING Prabowo, Dimas Aditya; Agun Guntara; Irfan Fadil
Jurnal Manajemen Teknologi Dan Sistem Informasi (JMS) Vol 6 No 1 (2026): JMS Vol 6 No 1 MARET 2026
Publisher : LPPM STIKOM Dinamika Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33998/jms.2026.6.1.2431

Abstract

The implementation of an integrated information system has become a crucial need in addressing business challenges, especially for SMEs such as Iwear Clothing. This study aims to implement an ERP system using the Odoo application to overcome business process problems that were previously carried out manually. The research method used is the Agile method with a Scrum framework and a phased implementation approach. Data collection was conducted through observation, interviews, and documentation. The implementation results indicate that the developed ERP system successfully improves production efficiency, stock accuracy, and simplifies sales and financial data recording. The main modules implemented include Manufacturing, Inventory, Sales, and Invoicing. The system also enhances decision-making processes and reduces data entry errors. This study concludes that Odoo as an ERP platform can be effectively adopted by small-scale garment businesses to support more structured and integrated operations. The implementation of an integrated information system has become a crucial need in addressing business challenges, especially for SMEs such as Iwear Clothing. This study aims to implement an ERP system using the Odoo application to overcome business process problems that were previously carried out manually. The research method used is the Agile method with a Scrum framework and a phased implementation approach. Data collection was conducted through observation, interviews, and documentation. The implementation results indicate that the developed ERP system successfully improves production efficiency, stock accuracy, and simplifies sales and financial data recording. The main modules implemented include Manufacturing, Inventory, Sales, and Invoicing. The system also enhances decision-making processes and reduces data entry errors. This study concludes that Odoo as an ERP platform can be effectively adopted by small-scale garment businesses to support more structured and integrated operations.
Development and evaluation of a TinyML-based sensor fusion system for medical waste classification on low-cost embedded devices Afriani, Dini; Fadil, Irfan
MEDISAINS: Jurnal Ilmiah Ilmu-Ilmu Kesehatan Vol. 24 No. 1 (2026)
Publisher : Universitas Muhammadiyah Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30595/medisains.v24i1.29422

Abstract

Background: Medical waste management in resource-limited healthcare facilities remains dominated by manual segregation, which is error-prone and difficult to standardize. Existing automated solutions often rely on cloud-based deep learning or high-cost hardware, limiting real-time deployment at the point of waste generation. Objective: This study aimed to develop and evaluate a medical waste classification system integrating Tiny Machine Learning (TinyML) and multi-sensor fusion on a low-cost embedded device to achieve accurate, real-time, and resource-efficient on-device inference. Method: An experimental system design approach was employed, including dataset construction, model development, and embedded deployment. A TinyML-optimized MobileNetV2 model was integrated with heterogeneous sensor fusion and evaluated under embedded constraints to assess classification performance, latency, and memory usage. Result: The vision-only model achieved an accuracy of 84.5%, with frequent misclassification of sharps waste. After integrating sensor fusion, overall accuracy increased to 96.5%, and recall for sharps reached 98%. The system demonstrated efficient on-device inference with an average latency of 280 ms and low memory consumption (<1 MB). Conclusion: The proposed TinyML-based sensor fusion system provides a robust, accurate, and cost-effective solution for automated medical waste classification. This approach enhances healthcare worker safety and supports scalable deployment in resource-limited healthcare environments.
Transfer Learning for Medical Waste Image Classification Using EfficientNet-B0 with 5-Fold Cross-Validation: English Reni Kartika Suwandi; Asep Saeppani; Irfan Fadil
JASMINE: Journal of Intelligent Systems and Machine Learning 2026: Articles in Press
Publisher : Universitas Telkom

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/jasmine.vi.10267

Abstract

Medical waste management requires careful handling due to its potential to cause infection and environmental hazards when not properly treated. Manual classification of medical waste is time-consuming, highly dependent on human accuracy, and prone to error. This study employs a transfer learning approach using the EfficientNet-B0 architecture to automatically classify medical waste images. The dataset consists of 23 waste categories and undergoes preprocessing steps including data cleaning, resizing, normalization, and data augmentation. The model is initialized with ImageNet-pretrained weights and refined through fine-tuning. Experimental results demonstrate stable classification performance, achieving an average accuracy of 92.2%, precision of 94.1%, recall of 92.2%, and an F1-score of 92.1%. The results indicate that EfficientNet-B0 provides a competitive balance between classification performance and computational efficiency for medical waste image classification, particularly under limited data conditions. However, this study is limited by the size and scope of the dataset and the absence of real-world deployment evaluation, which may affect the generalizability of the results. Despite these limitations, the proposed approach offers a feasible basis for further research toward automated medical waste sorting systems.
Analisis Sentimen Publik Program Makan Bergizi Gratis Menggunakan Support Vector Machine M.Arif Firmansyah; Asep Saeppani; Irfan Fadil
JPNM Jurnal Pustaka Nusantara Multidisiplin Vol. 3 No. 4 (2025): December : Jurnal Pustaka Nusantara Multidisiplin (ACCEPTED)
Publisher : SM Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59945/jpnm.v3i4.805

Abstract

Ketersediaan gizi merupakan faktor utama yang menunjang pertumbuhan anak dan kualitas sumber daya manusia. Pemerintah Indonesia memperkenalkan Program Makan Bergizi Gratis (MBG) sebagai langkah strategis untuk mengatasi masalah gizi buruk dan stunting pada anak sekolah. Penelitian ini berfokus pada analisis sentimen masyarakat terhadap program MBG dengan memanfaatkan algoritma Support Vector Machine (SVM) berbasis pengolahan Bahasa Alami (NLP). Data berasal dari 1.574 komentar di media sosial X (Twitter) yang diproses melalui tahapan pembersihan data, tokenisasi, penghapusan stopword, stemming, dan pembobotan TF-IDF. Hasil pengujian menunjukkan bahwa model SVM meraih akurasi 78%, sedangkan Logistic Regression mencapai 82%, dengan sebagian besar sentimen publik cenderung positif. Temuan ini mengindikasikan bahwa masyarakat menerima MBG dengan baik. Penelitian ini turut memperlihatkan manfaat penerapan machine learning untuk menganalisis kebijakan publik dan dapat digunakan pemerintah sebagai acuan menyusun strategi komunikasi dan meningkatkan efektivitas program gizi nasional
Co-Authors Agun Guntara Agun Guntara Asep Saeppani Atep Ruhiat Dian Budiana Dini Afriani Dody Herdiana Egi Rifaldi Esa Firmansyah Fasya Zahira Badeni Fauzy Abdilah Fidi Supriadi Firmansyah, Esa Guntara, Agun Hania, Revita Lestari, Hilda M.Arif Firmansyah M.Arif Firmansyah Mahardika, Fathoni Muhammad Agreindra Helmiawan Mulyana, Aa Agus Prabowo, Dimas Aditya Reni Kartika Suwandi Rizki Nurul Nazmi Siti Nurhayati Surya Manggala, Ramdani Titik Khawa Abdul Rahman Yanyan Sofiyan