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All Journal Teknika: Jurnal Sains dan Teknologi Infotech Journal CESS (Journal of Computer Engineering, System and Science) MANAJERIAL Jurnal Penelitian Pendidikan IPA (JPPIPA) Indonesian Journal of Strategic Management JEEMECS (Journal of Electrical Engineering, Mechatronic and Computer Science) IKRA-ITH Informatika : Jurnal Komputer dan Informatika Pendas : Jurnah Ilmiah Pendidikan Dasar JURNAL PENDIDIKAN TAMBUSAI International Journal of Community Service Learning International Journal of Social Science and Business Atfaluna: Journal of Islamic Early Childhood Education JATI (Jurnal Mahasiswa Teknik Informatika) Jurnal Tekinkom (Teknik Informasi dan Komputer) Jatilima : Jurnal Multimedia Dan Teknologi Informasi Jurnal Sistem Komputer dan Informatika (JSON) Community Development Journal: Jurnal Pengabdian Masyarakat BERNAS: Jurnal Pengabdian Kepada Masyarakat Journal of Advanced in Information and Industrial Technology (JAIIT) Jurnal Teknologi Informasi dan Komunikasi Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Jurnal Abdimas Ilmiah Citra Bakti (JAICB) Jurnal Teknik Informatika (JUTIF) Jurnal Mandala Pengabdian Masyarakat JINAV: Journal of Information and Visualization Jurnal Sosial dan Teknologi Indonesian Journal of Engagement, Community Services, Empowerment and Development (IJECSED) International Journal of Engagement and Empowerment (IJE2) Bulletin of Computer Science Research KLIK: Kajian Ilmiah Informatika dan Komputer Jurnal Abdimas Bina Bangsa ARRUS Journal of Engineering and Technology JURNAL ILMIAH GLOBAL EDUCATION Conten : Computer and Network Technology JEKKP (JURNAL EKONOMI, KEUANGAN DAN KEBIJAKAN PUBLIK) Brilliance: Research of Artificial Intelligence Jurnal Bina Bangsa Ekonomika International Journal of Multidisciplinary Research and Literature (IJOMRAL) Bussman Journal : Indonesian Journal of Business and Management PROSISKO : Jurnal Pengembangan Riset dan observasi Rekayasa Sistem Komputer Jurnal Sistem Informasi dan Teknologi (SINTEK) Journal of Artificial Intelligence and Digital Business JAMU : Jurnal Abdi Masyarakat UMUS Indonesian Research Journal on Education Jurnal Ilmiah Pengabdian Kepada Masyarakat Jurnal Inovasi Pendidikan dan Teknologi Informasi (JIPTI) Jurnal Ilmiah Sistem Informasi Jurnal Akselerasi Merdeka Belajar dalam Pengabdian Orientasi Masyarakat (Jurnal AMPOEN) Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Jurnal Pengabdian Multidisiplin Indonesia SISFOTENIKA INOVTEK Polbeng - Seri Informatika Sintek Kuwera Pustabiblia: Journal of Library and Information Science
Auliana, Sigit
Universitas Bina Bangsa
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Machine Health Monitoring Using An Innovative Mechanical Approach Romayasari, Vera; Auliana, Sigit; Aryono, Gagah Dwiki Putra
Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Vol 5, No 3 (2024): Edisi Juli
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/kesatria.v5i3.450

Abstract

In today's world, machines are essential in daily life, requiring efficient and safe operation. Tools have been developed to assess machine health by monitoring power usage, temperature, noise, and vibrations. Anomalies in these parameters can indicate potential defects. FFT analyzers, commonly used for vibration measurement, are often too costly for small businesses and may lack the ability to measure speed, temperature, or power usage. This project aims to create a low-cost alternative for health monitoring systems, capable of measuring vibrations, noise, temperature, speed, and power consumption. Integrating an Arduino Uno R3 with sensors and a MATLAB 2018b GUI provides an affordable solution, catering to small firms unable to invest in expensive FFT analyzers
Deep Learning Techniques For Skin Cancer Detection And Diagnosis Aryono, Gagah Dwiki Putra; Audina, Alisa; Auliana, Sigit
Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Vol 5, No 3 (2024): Edisi Juli
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/kesatria.v5i3.451

Abstract

Skin cancer is the most common type of cancer globally, and early detection is crucial for effective treatment. This research reviews the use of deep learning techniques in detecting and diagnosing skin cancer. A review of current methodologies was conducted to propose new strategies for improving the accuracy and reliability of the detection and diagnosis processes. Various deep learning models, including convolutional neural networks, were evaluated using three publicly available datasets. The PSO algorithm was utilized for segmentation and feature extraction, while also exploring the impact of transfer learning, data augmentation, and model ensemble on model accuracy. The findings of this study indicate that deep learning techniques can significantly enhance the detection and diagnosis of skin cancer
Enhanced Facial Expression Recognition Through a Hybrid Deep Learning Approach Combining ResNet50 and ResNet34 Models Auliana, Sigit; Mahrojah, Siti; Aryono, Gagah Dwiki Putra
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 4 No. 6 (2024): Juni 2024
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v4i6.1874

Abstract

Recognizing facial expressions is a critical aspect of computer vision and human-computer interaction. It facilitates the interpretation of human emotions from facial images, aiding in applications such as affective computing, social robotics, and psychological research. In this work, we propose using hybrid deep learning models, ResNet50 and ResNet34, for facial expression classification. These models, pre-trained on large-scale datasets, demonstrate exceptional feature extraction capabilities and have achieved excellent performance in various computer vision tasks. Our approach begins with the collection and preprocessing of a labeled facial expression dataset. The collected data undergoes face detection, alignment, and normalization to ensure consistency and reduce noise. After preprocessing, the dataset is divided into training, validation, and testing sets. We fine-tune the ResNet50 and ResNet34 models on the training set, employing transfer learning to adapt the pre-trained models specifically for the facial expression recognition task. Optimization techniques such as SGDM, ADAM, and RMSprop are used to update the models' parameters and minimize the categorical cross-entropy loss function. The trained models are evaluated on the validation set, achieving an accuracy of 98.19%. Subsequently, the models are tested on unseen facial images to assess their generalization capabilities. This proposed approach aims to deliver accurate and robust facial expression classification, thereby advancing emotion analysis and human-computer interaction systems.
Multi-Domain Medical Image Enhancement Through Fuzzy and Regression Neural Network Approach Auliana, Sigit; Nur Janah, Meishi; Gagah Dwiki Putra Aryono
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 4 No. 6 (2024): Juni 2024
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v4i6.1875

Abstract

Medical image processing has heralded a significant transformation in contemporary medical science, offering the promise of diagnosing, treating, and curing patients while minimizing adverse effects. By leveraging medical imaging, physicians gain the ability to visualize internal structures without invasive procedures. Moreover, this technology contributes to our understanding of neurobiology and human behavior, with brain imaging aiding investigations into addiction mechanisms. Interdisciplinary collaboration among biologists, chemists, and physicists is facilitated by medical imaging, with resultant technologies finding applications across various fields. This study focuses on enhancing medical images in both frequency and time domains. Contrast enhancement is achieved through local transformation histogram techniques, followed by overall enhancement using a Fuzzy-Neural approach. The proposed methodology is implemented using MATLAB 2018b. The findings emphasize the efficacy of the proposed technique in improving image quality for both MR and Selenography images. Its outstanding performance, marked by a higher PSNR (32.96) and a lower MSE (20.04), indicates its potential for more precise and dependable image enhancement compared to current methods.
MENGGALI POTENSI LOKAL DENGAN ANALISIS SWOT DI KELURAHAN TERUMBU KECAMATAN KASEMEN KOTA SERANG Fatonah, Siti; Auliana, Sigit; Muhamadin, Ari; Saniyyasyah, Dinar Jauzaa; Nopfitasari, Nopfitasari
Bussman Journal : Indonesian Journal of Business and Management Vol. 4 No. 1 (2024): Bussman Journal | Januari - April 2024
Publisher : Gapenas Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53363/buss.v4i1.236

Abstract

This research aims to determine the local potential of the Terumbu sub-district through SWOT analysis. Local potential is an invaluable advantage of a region or region. SWOT analysis is an analysis based on logic that can maximize strengths and opportunities, but simultaneously minimize weaknesses and threats. The method in this research is descriptive qualitative. Data collection techniques used interview techniques with residents of the Terumbu sub-district.  Observations were carried out directly in the Terumbu sub-district area. The results of the research show that the Terumbu sub-district has strengths that can be maximized in order to develop further, starting from owning large areas of rice fields, having gypang MSMEs, red bricks and having a strategic geographic location. Reefs also have weaknesses, namely, the clean and healthy lifestyle is very low, the habit of throwing rubbish carelessly, MCK (bathing, washing, toilet) is still in rivers/streams which are not clean. In terms of opportunities, it is still very possible for the Reef to be developed by providing counseling, assistance, training and education to increase the knowledge, skills and insight of the community. Apart from that, the threats to the Terumbu sub-district are diseases, chronic, infectious diseases, malnutrition, stunting and decreased intelligence. By suppressing existing weaknesses and threats through counseling, training, mentoring and education, the perception of the Terumbu sub-district changes from a bad perception to a good perception because it has succeeded in increasing local potential such as agricultural products, MSMEs and the lifestyle of its people for the better
THE AUDIT OF CASHIER INFORMATION SYSTEMS IN PT. FOOD BEVERAGES INDONESIA (THE BRANCH OF CHATIME, BANTEN) USING COBIT 5.0 Rohman, Itqu; Auliana, Sigit; Permana, Basuki Rakhim Setya
International Journal of Multidisciplinary Research and Literature Vol. 3 No. 5 (2024): INTERNATIONAL JOURNAL OF MULTIDISCIPLINARY RESEARCH AND LITERATURE
Publisher : Yayasan Education and Social Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53067/ijomral.v3i5.253

Abstract

This research focuses on the audit of the cashier information system at PT. Foods Beverages Indonesia (Serang Banten Branch), known as the Chatime brand. The background of this research is the importance of an effective and efficient cashier system in the digital era, especially for a leading beverage company like Chatime. The main objective of the research is to analyze how Chatime's current cashier information system works and evaluate the results using the COBIT 5 framework. The research method used is an information system audit using the COBIT 5 (Control Objectives for Information and Related Technologies) framework. This framework was chosen because it provides a collection of principles, practices, and frameworks that help companies achieve business goals through effective management of information technology. The results show several areas that require improvement, including the need for a clear classification scheme for managing service requests, strategic planning to address employee shortages, periodic evaluation of asset performance, and implementation of Total Cost of Ownership (TCO) analysis. The research conclusion emphasizes the importance of improvements in the management of Chatime's cashier information system, including better documentation, strategic human resource planning, regular performance evaluation, and implementation of comprehensive cost analysis. The recommendations resulting from this audit are expected to improve the efficiency and effectiveness of the cashier information system at Chatime Serang Banten Branch
PERANCANGAN SISTEM PEMESANAN LAPANGAN MINI SOCCER SECARA ONLINE DI MS ARENA CILEGON Ramadhan, Rizki; Auliana, Sigit; Rakhim Setya Permana, Basuki; Hamdan, Hamdan; Untirtha Pratama, Gelard
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.v9i1.12408

Abstract

Penelitian ini bertujuan untuk merancang dan mengimplementasikan website pemesanan lapangan Mini Soccer di MS Arena Cilegon guna meningkatkan efektivitas dan efisiensi proses pemesanan. Website ini dirancang agar pelanggan dapat memesan lapangan secara online, mengakses informasi ketersediaan lapangan secara real-time, serta mengatasi keterbatasan waktu dan metode pemesanan konvensional. Penelitian menggunakan metode pengembangan sistem Waterfall yang meliputi komunikasi dengan pengguna, perancangan sistem, pengembangan unit program, dan pengujian. Proses ini bertujuan memastikan sistem dapat memenuhi kebutuhan pengguna secara optimal. Hasil penelitian menunjukkan bahwa website pemesanan lapangan Mini Soccer online berhasil meningkatkan efisiensi proses pemesanan di MS Arena Cilegon. Pelanggan tidak lagi harus datang langsung ke lokasi untuk memesan lapangan. Sistem ini memungkinkan pemesanan secara online dengan akses informasi ketersediaan lapangan yang akurat dan real-time. Kesimpulannya, pengembangan website pemesanan lapangan Mini Soccer di MS Arena Cilegon memberikan solusi efektif dalam mengatasi kendala pemesanan manual. Sistem ini berhasil meningkatkan efektivitas dan efisiensi layanan pemesanan lapangan, meskipun masih terdapat beberapa aspek yang perlu ditingkatkan
PENERAPAN FRAMEWORK CODEIGNITER 3 PADA APLIKASI PENJUALAN DI TOKO KUE KERING MIYA JAYA SERANG Kustianto, Prahmono; Auliana, Sigit; Rakhim Setya Permana, Basuki; Rohman, Ali; Munawir, Ahmad
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.v9i1.12410

Abstract

Penjualan produk secara konvensional di Toko Kue Kering Miya Jaya Serang menghadapi beberapa kendala, seperti pencatatan data transaksi yang kurang efisien dan rawan kesalahan. Untuk mengatasi permasalahan tersebut, penelitian ini bertujuan untuk merancang dan mengimplementasikan aplikasi penjualan berbasis web menggunakan framework CodeIgniter 3. Framework ini dipilih karena kemampuannya dalam mempercepat pengembangan aplikasi serta menyediakan struktur yang terorganisir. Metode pengembangan yang digunakan adalah model Waterfall, yang meliputi tahap analisis kebutuhan, perancangan, implementasi, pengujian, dan pemeliharaan. Hasil penelitian menunjukkan bahwa aplikasi ini mampu mengelola data produk, mencatat transaksi penjualan, serta menghasilkan laporan secara otomatis dan akurat. Pengguna juga dapat mengakses informasi stok produk secara real-time, sehingga dapat mempercepat proses pengambilan keputusan. Pengujian sistem menggunakan metode Black Box menunjukkan bahwa semua fungsi berjalan sesuai dengan kebutuhan yang telah ditentukan. Aplikasi ini diharapkan dapat meningkatkan efisiensi operasional serta meminimalkan kesalahan pencatatan transaksi di Toko Kue Kering Miya Jaya Serang. Dengan demikian, penelitian ini memberikan kontribusi dalam pengembangan aplikasi penjualan berbasis web yang efektif dan efisien di lingkungan usaha kecil dan menengah (UKM).
PENERAPAN FRAMEWORK LARAVEL PADA APLIKASI PENGELOLAAN DATA UMROH DI PT. ALHIJAZ INDOWISATA TOUR & TRAVEL KAB. SERANG Safitri, Esti; Auliana, Sigit; Rakhim Setya Permana, Basuki; Munawir, Ahmad; Rohman, Ali
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.v9i1.12411

Abstract

Penelitian ini bertujuan untuk merancang dan mengimplementasikan aplikasi pengelolaan data umrah berbasis web di PT. Alhijaz Indowisata Tour & Travel Kabupaten Serang menggunakan framework Laravel. Penelitian ini juga bertujuan untuk memenuhi tugas akhir skripsi. Aplikasi ini dirancang untuk meningkatkan efisiensi, efektivitas, dan akurasi pengelolaan data calon jemaah serta menjamin keamanan data yang disimpan. Metode penelitian yang digunakan meliputi observasi, wawancara, dan pengumpulan data. Observasi dilakukan dengan mengamati aktivitas operasional dan data yang dibutuhkan dalam sistem pengelolaan umrah. Metode wawancara diterapkan dengan mengajukan pertanyaan kepada pihak PT. Alhijaz Indowisata Tour & Travel guna memperoleh informasi yang lebih rinci terkait permasalahan yang dihadapi. Pengumpulan data bertujuan untuk memahami sistem pengelolaan data yang ada agar solusi yang ditawarkan dapat tepat sasaran.Hasil penelitian menunjukkan bahwa perancangan aplikasi ini mampu meningkatkan efisiensi dan efektivitas pengelolaan data jemaah umrah. Aplikasi berbasis Laravel ini diharapkan dapat mempermudah proses pencatatan, pengelolaan, dan penyimpanan data jemaah secara aman dan terstruktur, sehingga mendukung kinerja PT. Alhijaz Indowisata Tour & Travel dalam pengelolaan data umrah
PENERAPAN FRAMEWORK LARAVEL 8 PADA APLIKASI PENGADUAN MASYARAKAT KECAMATAN CIRUAS SERANG – BANTEN Putra, Abraham; Auliana, Sigit; Rakhim Setya Permana, Basuki; Untirtha Pratama, Gelard; Hamdan, Hamdan
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.v9i1.12412

Abstract

Penelitian ini bertujuan untuk merancang dan mengimplementasikan Aplikasi Pengaduan Masyarakat berbasis web di Kecamatan Ciruas, Serang, Banten menggunakan Framework Laravel 8. Aplikasi ini dirancang untuk memudahkan masyarakat dalam menyampaikan keluhan serta membantu pihak kecamatan dalam memproses pengaduan secara efisien dan transparan. Metode pengembangan sistem yang digunakan adalah metode waterfall, yang mencakup tahapan analisis, perancangan, pengembangan, pengujian, dan implementasi.Hasil penelitian menunjukkan bahwa aplikasi berbasis Laravel 8 mampu meningkatkan efisiensi pengelolaan pengaduan dibandingkan sistem manual sebelumnya. Fitur-fitur utama aplikasi ini meliputi pengiriman pengaduan secara daring, pelacakan status pengaduan secara real-time, serta notifikasi otomatis terkait proses tindak lanjut. Aplikasi ini mempercepat waktu penyelesaian pengaduan dan meningkatkan transparansi dalam penanganan keluhan masyarakat.Kesimpulannya, penerapan teknologi berbasis Laravel 8 dapat menjadi solusi efektif dalam pengelolaan pengaduan masyarakat, sekaligus meningkatkan kualitas pelayanan publik di tingkat kecamatan. Aplikasi ini juga mendorong partisipasi masyarakat dalam pengawasan kinerja pemerintah daerah, menciptakan sistem yang lebih responsif dan akuntabel
Co-Authors A Halim Abda Abda Achmad Dwi Saputro Aisah, Anggi Nur Alandito, Alhdias Aldi Setiawan, Aldi Aldiyanti, Fitri Ali Rohman Alia, Salsabila Rahma Amaldi, Wahyu AMELIA, NUR Anam, Aan Khoirul Andriani, Fipi Anugerah Agung Ariansyah, Irgi Arief, Rahadian Arrasit, Dio Falla Aryono, Gagah Dwikiputra Asep Safaatulloh ASNAWI Audina, Alisa Azis, Marisa Azizah, Rizqia Nur Bafaqih, Ali Basuki Rakhim Setya Permana Bate’e, Welni Desrinayanti Chafid, Nurul Dadan Ramdan DEWI FITRIANI Dwi Purnama , Eris Dwi Purnama, Eris Eightian, Vieri Ginola Ende Ende Ende Eris Dwi Purnama Eris Dwi Purnama Fachruroji, Fahmi Fanani, Khairul Fasya, Nabiila Fatari Fatullah, Fajri Ferawati, Dede Ferdy Oka Agung Permana Firmansyah, Oki Furtasan Ali Yusuf Gagah Dwiki Putra Aryanto Gagah Dwiki Putra Aryono Gagah Dwikiputra Aryono Hadi Kurniawanto Hadi Ramadhan, Muhamad Hamdan Hamdan Hamidah . Hamidah Hamidah Hasan Siddiq Ibrohim Ifvochy, Jammes Iis Nuraisah Iis Nurasiah Iis Nurasiah Ilham, Ilham Rizqi Inten Risna Irfansyah, Robby Jaka Wijaya Kusuma Jalis, Jalis Kalsum, Ummy Kustianto, Prahmono Laila Nur Fadhilah Laksono Trisnantoro Listiawati Listiawati Mahrojah, Siti Malik Farid Hanafi Maman Masyhuri Mamay Komarudin Mardhiyah Lestari Masyhuri, Maman Masyuri, Umar Maulana Ns, Farhan Maulida, Fadia Syifa MMSI Irfan ,S. Kom Mochammad Darip Mudofar, Mudofar Muhamad Shiraj Al-Ayyubi Muhamadin, Ari Muhammad Saifulloh Mulyawansyah, Ahmad Andika Munawaroh Munawaroh Munawir, Ahmad Naufal Affandi Naufal, Dody Naufallinho, Muchamad Khairan Ningsih, Ratu Septia Nitami, Shella Nopfitasari, Nopfitasari Nopithasari, Lola Noppy Hadisuwarno Nova Fitriyani Nova, Merlin Dwi Novita Sari Noviyanti, Ayu Nugraha Edhi Suyatma Nugraha, Asep Darma Nugrahini Kusumawati Nur Janah, Meishi Nurfitrianda, Deden Nursafira, Nursafira Nurul Chafid Nurul Chapid Nurul Khoer Hidayah, Nadaa Octavian, Rizqi Kevin Oula, Kiki Nabilah Pusvita Parimin Permana, Basuki Permana, Basuki Rahim Setya Permata, Nuniek Pilyadi, Windika Praditya, Dinar Okto Prasetya, Bima Pratama, Gelard Untirtha Purnama, Eris Dwi Putra, Abraham R. Hudan Muchtadi Ratu Yustika Rini Restiana, Anti Rizki Ramadhan Rizki, Miftahul rohaimudin, iim Rohman, Itqu Romayasari, Vera Romli, Ombi Roy, Sujan Chandra Rudianto Sabilillah, Sahrul Safaatullah, Asep Safitri, Esti Salehah, Siti Nur Saniyyasyah, Dinar Jauzaa Sapaatullah, Asep Saputro, Ahmad Dwi Setya, Basuki Rakhim Sholahuddin, Muhammad Rifda Siti Bunga Cinta Siti Fatonah Siti Fatonah Sopian sopian Suaryo, Suaryo Sueko Suhandi Suhandi Suhandi Suhandi, Suhandi Sunardi Sunardi Surachman Surachman Suyatma, Nugraha Edi Syamil Basayev, Gito Tabroni Tjahja Muhandri Ubaedilah, Ikbal Umar Mansyuri Untirtha Pratama, Gelard Wahyu Cahyadi Wahyu Saputra Windika Pilyadi Yansyah, Mardi Yap, Victor Yustiana, Sisy Zahra, Surti