Article Per Year (5 Year)
p-Index From 2021 - 2026
10.741
P-Index
This Author published in this journals
All Journal INFOKAM Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Ilmiah FIFO JURNAL REKAYASA TEKNOLOGI INFORMASI Jurnal Nasional Komputasi dan Teknologi Informasi STRING (Satuan Tulisan Riset dan Inovasi Teknologi) JATI (Jurnal Mahasiswa Teknik Informatika) Community Development Journal: Jurnal Pengabdian Masyarakat Innovation in Research of Informatics (INNOVATICS) Journal Zetroem Jurnal ABDIMAS (Pengabdian kepada Masyarakat) UBJ Jurnal Aplikasi Teknologi Informasi dan Manajemen (JATIM) Journal of Information Technology (JIfoTech) Jurnal PkM (Pengabdian kepada Masyarakat) Jurnal Riset dan Aplikasi Mahasiswa Informatika (JRAMI) Journal of Practical Computer Science (JPCS) JSITP Jurnal Ilmiah Ekonomika & Sains IC Tech: Majalah Ilmiah Jurnal Tera Kapas: Kumpulan Artikel Pengabdian Masyarakat Nusantara Journal of Computers and its Applications Jurnal Riset Sistem dan Teknologi Informasi SAINTEK Journal of Information Technology, Software Engineering and Computer Science Bulletin of Information System Research Inovasi Gagasan Abdimas & Kuliah Kerja Nyata Journal of Information System and Application Development Informasi interaktif : jurnal informatika dan teknologi informasi Seminar Nasional Riset dan Teknologi (SEMNAS RISTEK) Elconika: Jurnal Teknik Elektro JIS jurnal informasi teknologi dan sistem Outline Journal of Community Development Bestikom: Jurnal Pengabdian Kepada Masyarakat IC Tech: Majalah Ilmiah ISTA Online Technologi Journal Jurnal Informasi Teknologi dan Sistem (INTEKSIS) Jurnal Pemberdayaan Kepada Masyarakat
Fauzan Natsir
Universitas Indraprasta PGRI
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 Environmental Science Health Professions Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Public Health Social Sciences Transportation Other

Published : 85 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 85 Documents
Search

 5   6   7   8   9 
PEMANFAATAN APLIKASI CMS WORDPRESS SEBAGAI MEDIA WEB GURU DALAM MENINGKATKAN KOMPETENSI DIGITAL TENAGA PENDIDIK SMP AL QALAM Fauzan Natsir; Ade Kurnia Solihin; Galuh Krisna Dewanti
BESTIKOM Jurnal Pengabdian Kepada Masyarakat Vol 1 No 2 (2025)
Publisher : Bestikom: Jurnal Pengabdian Kepada Masyarakat

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

Abstract

Perkembangan pesat teknologi informasi mendorong kebutuhan guru untuk mengintegrasikan media digital ke dalam proses pembelajaran. Di SMP Al Qalam ditemukan bahwa sebagian guru belum memiliki kemampuan teknis yang memadai untuk membuat dan mengelola website pembelajaran. Kegiatan pengabdian masyarakat ini bertujuan meningkatkan kompetensi guru dalam menggunakan CMS WordPress sebagai media web pembelajaran interaktif. Metode pelaksanaan mencakup analisis kebutuhan, pelatihan bertahap (teori dan praktik), pendampingan, serta evaluasi penggunaan. Hasil menunjukkan bahwa setelah pelatihan: sebagian besar guru mampu membuat website sederhana, mengunggah materi dengan baik, menggunakan plugin interaktif, dan mengelola komentar/forum. Pembahasan menyandingkan hasil ini dengan studi sebelumnya tentang pelatihan WordPress dan kompetensi ICT guru. Disimpulkan bahwa program pelatihan ini efektif, namun perlu kesinambungan, dukungan sarana/prasarana, serta pengembangan konten web yang relevan.
Analisis Sentimen Ulasan Aplikasi iPusnas di Playstore dengan Metode Algoritma Random Forest Achmad Fauzi; Andi Dwi Pangestu; Ade Kurnia Solihin; Redo Abeputra Sihombing; Fauzan Natsir
Journal of Information Technology Vol. 6 No. 1 (2026): Journal of Information Technology
Publisher : Institut Shanti Bhuana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46229/jifotech.v6i1.1096

Abstract

iPusnas is a digital library application developed by the National Library of Indonesia (Perpusnas RI) that allows users to borrow and read digital books via smartphones. As one of the most widely used digital library platforms in Indonesia, iPusnas has received thousands of user reviews on Google Play Store, reflecting various public sentiments about the application's performance and features. This study aims to analyze the sentiment of iPusnas user reviews on the Google Play Store using the Random Forest algorithm. Data were collected by scraping user reviews from the Play Store, followed by preprocessing steps including case folding, cleaning, normalization, tokenization, stopword removal, and stemming. Labeling was performed using the Lexicon-Based method. Feature extraction used TF-IDF (Term Frequency-Inverse Document Frequency), and data imbalance was addressed using the SMOTE (Synthetic Minority Over-sampling Technique) method. The results of the analysis showed that the Random Forest model achieved an accuracy of 73,60%, precision of 72,60%, recall of 72,10%, and F1-score of 72,30%, demonstrating its effectiveness in classifying positive and negative sentiments of iPusnas users.
Community Assistance for Eco-Edutourism-Based Tourism Village Development in Rancamaya Village Achmad Fauzi; Andi Dwi Pangestu; Fauzan Natsir
Outline Journal of Community Development Vol. 3 No. 3: March 2026
Publisher : Outline Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61730/st8x7a50

Abstract

Rancamaya Village in South Bogor has significant potential as a tourism village, particularly in agro-tourism based on its renowned durian cultivation, natural scenery, and Sundanese cultural heritage. However, the community faces challenges in developing this potential in an integrated, sustainable manner. This community service activity aimed to assist the community of Rancamaya Village in developing an eco-edutourism-based tourism village through training, facilitation, and mentoring. The methods employed included participatory rural appraisal (PRA), Focus Group Discussion (FGD), workshops, field practice, and ongoing mentoring. The activity involved community members, Pokdarwis management, and local government representatives. The results showed an increase in participants' understanding of eco-edutourism concepts (78%), improvement in the ability to design educational tourism packages, strengthened Pokdarwis institutional capacity, and the formulation of a village tourism development roadmap integrating ecological, educational, and cultural elements. This activity demonstrated that a participatory mentoring approach can effectively accelerate the development of sustainable eco-edutourism in rural communities.
Smart Attendance System: AI Technology for Digital Attendance Using Computer Vision Technology Fauzan Natsir; Redo Abeputra Sihombing; Triana Dewi Salma; Millati Izzatillah; Ega Shela Marsiani; Farhan Maulana Arramsy; Anuj Kumar
ZETROEM Vol 8 No 1 (2026): ZETROEM
Publisher : Prodi Teknik Elektro Universitas PGRI Banyuwangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36526/ztr.v8i1.7569

Abstract

Employee attendance is a crucial aspect of human resource management, particularly in maintaining discipline and ensuring the operational effectiveness of a company. PT KAMM currently uses a fingerprint-based attendance system which, although effective, often encounters issues such as sensor sensitivity to finger conditions, potential device damage caused by continuous physical contact, and employee inconvenience. This research aims to develop a face recognition-based attendance system as a more efficient and hygienic alternative. The dataset comprises 1,400 facial images from 20 PT KAMM employees (20 classes), split into 80% training, 10% validation, and 10% testing data. The method applied combines the Haar Cascade algorithm for face detection and a Convolutional Neural Network (CNN) for face recognition. The CNN architecture consists of four convolutional layers with 32 to 256 filters, ReLU activation, max pooling, flatten, a 512-neuron fully connected layer, dropout of 0.5, and softmax classification. The model was trained for 50 epochs using the Adam optimizer with a learning rate of 0.001 and batch size of 32. Evaluation was conducted using accuracy, precision, recall, and F1-score metrics. Results show the system achieved an accuracy of 95.71%, precision of 95.80%, recall of 95.60%, and an F1-score of 95.70%, with an average inference time of 0.12 seconds/frame in real-time. However, the system has limitations: accuracy drops by up to 12% under extreme lighting conditions and when employees wear masks. This study is expected to serve as a reference for other companies seeking to adopt similar face recognition technology for contactless attendance management systems.
Analisis Kebutuhan Modul Deteksi Dini Gangguan Mental Lansia sebagai Ekstensi Aplikasi SiLansia dengan Notifikasi untuk Caregiver Redo Abeputra Sihombing; Fauzan Natsir; Triana Dewi Salma; Hoiriyah Hoiriyah; Aisyah Mutia Dawis
Journal of Information Technology, Software Engineering and Computer Science (ITSECS) Vol. 3 No. 4 (2025): Volume 3 Number 4 October 2025
Publisher : PT. Tech Cart Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58602/itsecs.v3i4.362

Abstract

Populasi lanjut usia di Indonesia terus meningkat, dengan proporsi mencapai sekitar 11,75% dari total populasi nasional pada tahun 2023, sejalan dengan meningkatnya risiko gangguan kesehatan mental seperti depresi pada kelompok usia tersebut. Pada penelitian sebelumnya, penulis telah mengembangkan SiLansia, sebuah sistem pemantauan dan rekomendasi kesehatan lansia berbasis Content-Based Filtering (CBF) dengan mekanisme notifikasi otomatis untuk keluarga, namun cakupan sistem tersebut masih terbatas pada indikator vital fisik seperti tekanan darah, kadar gula darah, dan indeks massa tubuh, tanpa mencakup aspek kesehatan mental. Pada penelitian sebelumnya yang lain, penulis juga telah mengembangkan sistem pakar berbasis metode forward chaining untuk deteksi dini gangguan kejiwaan secara umum, namun sistem tersebut belum dirancang khusus untuk karakteristik populasi lansia maupun terintegrasi dengan ekosistem aplikasi mobile dan mekanisme notifikasi caregiver. Penelitian ini bertujuan menganalisis kebutuhan fungsional dan non-fungsional bagi pengembangan modul deteksi dini gangguan mental lansia sebagai ekstensi dari aplikasi SiLansia, guna menutup kesenjangan antara kedua penelitian sebelumnya tersebut. Metode yang digunakan adalah studi literatur terhadap instrumen skrining kesehatan mental lansia dan konsep beban caregiver, dipadukan dengan tinjauan terhadap arsitektur dan hasil pengujian SiLansia yang telah tervalidasi, yang kemudian dipetakan menjadi kebutuhan sistem melalui identifikasi aktor dan pemetaan kebutuhan fungsional maupun non-fungsional. Hasil penelitian menunjukkan bahwa modul yang dibutuhkan mencakup skrining gejala psikologis berbasis instrumen Geriatric Depression Scale (GDS), analisis risiko, serta perluasan mekanisme notifikasi berbasis Firebase Cloud Messaging (FCM)
Co-Authors ., Kristiningsih Abdul Kadir, Fatoni Acep, Acep Achmad Fauzi Achmad Zacky Bahrudin Ade Kurnia Solihin Adiya Riana Agam Sufiandi Aisyah Mutia Dawis Andi Dwi Pangestu Anggraeni, Ni Ketut Pertiwi Anuj Kumar Aprilia Sulistyohati ARI IRAWAN Arif Rahman Hakim Arista, Dila Asky Avia Aswin Fitriansyah Aswin Fitriansyah, Aswin Bagas Kusuma Kusuma Bakhtiar, Muhammad Yusuf Bakhtiar, Muhammad Yusuf Barda Hudaya Chandra Faris Abdurrahman Choirul Imam Daffa Aryo Wicaksono Danang Mulyadipa Suratno Danti Julia Putri, Rahma Drajat, Hilmi Maulana Dwi Dani Apriyani Dwi Rachmatulloh Ega Shela Marsiani Eko Harli, Eko Fadhil Hakim Fadhil Hazami Fahreza, Deddy Andrean Farhan Maulana Arramsy Fata Nidaul Khasanah Fery Rahmawan Asma Galuh Krisna Dewanti Gilang Ryan Fernandes Gina Nur Rahmadhaniah Gumelar, Teghar Halimatusha’diah Halimatusha’diah Handayani, Santy Hanifah, Martha Nur Hasan, Nur Fitrianingsih Hoiriyah, . Iis Dewi Lestari Iis Dewi Lestari Ika Mei Lina Imam Riadi Imam Wahyudin Indra Kurniawan Intan Vandini Irwan Agus Izzatilah, Millati Jayawarsa, A.A. Ketut Kiki Ismanti LESTARI, IIS DEWI Lukmansyah, Nuroji Magfirah Damelia Fitri marco viraldy rumokoy marsiani, ega shela Maulana, Tian Millati Izzatillah Mindry, Sary Lias Misbahul Huda Mohamad Dodi Noviansyah Mohammad Ridzky Azhar Muhamad Amir Fikry Muhammad Fickri Muhammad Innuddin Muhammad Yusuf Bakhtiar Nandang Suwela Narayana Sakti Aji Ni Ketut Pertiwi Anggraeni Ni Ketut Pertiwi Anggraeni Nuk Ghurroh Setyoningrum Opitasari Opitasari Opitasari, Opitasari Praseptiawan, Mugi Puji Astuti, Siwi Putra Java, Gravita Enji Sragenia Redo Abeputra Sihombing Redo Abeputra Sihombing Redo Abeputra Sihombing Ridho Saputra Riza Mahdiah Rizaldy Salma, Triana Setiawan, KK Arya Sihombing, Redo Abe Putra Sirait, Erlando Doni Siti Anisah siti istianah Siti Julaeha, Siti Solihin, Ade Kurnia Sri Mulyani Suaedah, Siti Suci Susanti Permata Sari Budiman Sudiarjo, Aso Sulistyohati, Aprilia Suratno, Danang Mulyadipa Sutrisno, Sutrisno Tama, Bayu Jaya Triana Dewi Salma Triyadi Triyadi Triyadi Triyadi Triyadi Triyadi Triyadi Triyadi Triyadi, Triyadi Widyaningsih, Dwi Septi Yasmin Zainab Aqilah Yogi Bachtiar Yogi Permana Yudi prayudi Yusi Nurhaliza