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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) Pendas : Jurnah Ilmiah Pendidikan Dasar JURNAL PENDIDIKAN TAMBUSAI International Journal of Community Service Learning International Journal of Social Science and Business 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 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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Improving Packaging and Marketing of Local Products Through the Application of Technology and Packaging Innovation to Increase Community Income in Opak Village Hadi Kurniawanto; Sigit Auliana; Jaka Wijaya Kusuma; Suhandi; Tjahja Muhandri; Nugraha Edhi Suyatma
International Journal of Community Service Learning Vol. 8 No. 1 (2024): February
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/ijcsl.v8i1.75014

Abstract

Community service activities in the national combination program were conducted in Waqf Village, Sukaratu Village, and Majasari Pandeglang District, targeting partner groups of opak food craftsmen and waqf farmer groups. The problem with fostered partners is that no one needs to be able to implement business management, online marketing, or apply innovative technology in standard production processes. Community service in the national service program aims to increase the knowledge and skills of fostered partners in implementing business management, online-based marketing, and technological innovation in the production process. Activity methods include the socialization of national programs, the application of technology in the production process, training, mentoring, and evaluation. The results of this activity show that the two fostered partners can apply business management, online marketing (e-commerce), and the application of packaging technology with nitrogen injection as well as the application of production with solar dome dryers to dry opaque patches, which is very helpful during the rainy season, can still production. There was an increase in the business of the two fostered partners to reach 80%.
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
PENERAPAN APLIKASI PERJALANAN DINAS DI KANTOR SEKRETARIAT DAERAH (SETDA) KOTA SERANG Muchtadi, R. Hudan; Hadisuwarno, Noppy; Auliana, Sigit
INFOTECH journal Vol. 10 No. 2 (2024)
Publisher : Universitas Majalengka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31949/infotech.v10i2.11947

Abstract

This study aims to design and develop a business trip application at the Regional Secretariat of Serang City to facilitate the management of official travel processes. The application is designed to support the digitalization of administrative procedures, from travel requests, budget management, to trip reporting. The system development uses the Agile methodology, enabling rapid iteration based on user feedback. This web-based system is built using PHP programming language and MySQL database. The application is expected to improve efficiency, accuracy, and transparency in official travel management and minimize potential manual errors.
PERANCANGAN APLIKASI PENGAJUAN CUTI KARYAWAN PT. INDOMARCO ADI PRIMA MENGGUNAKAN PHP NATIVE Hadisuwarno, Noppy; Muchtadi, R. Hudan; Auliana, Sigit
INFOTECH journal Vol. 10 No. 2 (2024)
Publisher : Universitas Majalengka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31949/infotech.v10i2.11948

Abstract

The employee leave request application is a crucial need for large companies like PT. Indomarco Adi Prima to improve the efficiency of leave management. This study aims to design a web-based leave request application using PHP Native to simplify the process of submitting, approving, and tracking employee leave status. The system development method used is Waterfall, consisting of phases such as requirement analysis, design, implementation, and testing. The application is designed to be easily accessible in real-time, providing transparency and accuracy in leave management. Testing results show that the system can expedite the leave request process, minimize administrative errors, and enhance human resource management efficiency within the company.
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
Co-Authors A Halim 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 ardiansyah, sigit Ariansyah, Irgi Arief, Rahadian Arrasit, Dio Falla Aryono, Gagah Dwikiputra ASNAWI Audina, Alisa Azis, Marisa Azizah, Rizqia Nur Bafaqih, Ali Basuki Rakhim Setya Permana Bate’e, Welni Desrinayanti Cahyadi, Wahyu Chafid, Nurul Dadan Ramdan DEWI FITRIANI Dwi Purnama , Eris Dwi Purnama, Eris Eightian, Vieri Ginola Ende Ende Ende 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 Hadi Kurniawanto Hadi Ramadhan, Muhamad Hadisuwarno, Noppy Hamdan Hamdan Hamidah . Hamidah Hamidah Ibrohim Ifvochy, Jammes Iis Nuraisah Iis Nurasiah Ilham, Ilham Rizqi Irfansyah, Robby Jaka Wijaya Kusuma Jalis, Jalis Kalsum, Ummy Kustianto, Prahmono Laila Nur Fadhilah Laksono Trisnantoro Listiawati Listiawati Mahrojah, Siti Maman Masyhuri Mamay Komarudin Masyhuri, Maman Masyuri, Umar Maulana Ns, Farhan Maulida, Fadia Syifa MMSI Irfan ,S. Kom Mochammad Darip Muchtadi, R. Hudan Mudofar, Mudofar 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 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 Permata, Nuniek Pilyadi, Windika Praditya, Dinar Okto Prasetya, Bima Pratama, Gelard Untirtha Purnama, Eris Dwi Putra, Abraham Rakhim, Basuki Restiana, Anti Rizki Ramadhan Rizki, Miftahul rohaimudin, iim Rohman, Itqu Romayasari, Vera Romli, Ombi Rudianto Sabilillah, Sahrul Safaatullah, Asep Safaatulloh, Asep Safitri, Esti Salehah, Siti Nur Saniyyasyah, Dinar Jauzaa Sapaatullah, Asep Saputro, Ahmad Dwi Setya, Basuki Rakhim Sholahuddin, Muhammad Rifda 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 Saputra Yansyah, Mardi Yap, Victor Yustiana, Sisy Zahra, Surti