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All Journal Teknika Bulletin of Electrical Engineering and Informatics Proceeding of the Electrical Engineering Computer Science and Informatics Swabumi (Suara Wawasan Sukabumi) : Ilmu Komputer, Manajemen, dan Sosial Jurnal EMT KITA JTAM (Jurnal Teori dan Aplikasi Matematika) SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan INTECOMS: Journal of Information Technology and Computer Science Jurnal Nasional Komputasi dan Teknologi Informasi Journal of Information System, Applied, Management, Accounting and Research Jurnal Informatika Kaputama (JIK) Jurnal Informatika dan Rekayasa Perangkat Lunak Journal of Applied Engineering and Technological Science (JAETS) Jurnal Teknik Elektro dan Komputasi (ELKOM) JTIK (Jurnal Teknik Informatika Kaputama) Jurnal Sistem Komputer & Kecerdasan Buatan Jurnal Teknologi Informasi dan Komunikasi Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Jurnal Pengabdian Nasional (JPN) Indonesia Jurnal Cahaya Mandalika International Journal for Applied Information Management JUTECH : Journal Education and Technology COMMUNITY : Jurnal Pengabdian Kepada Masyarakat AJAD : Jurnal Pengabdian kepada Masyarakat International Journal Software Engineering and Computer Science (IJSECS) Aptekmas : Jurnal Pengabdian Kepada Masyarakat KNOWLEDGE: Jurnal Inovasi Hasil Penelitian dan Pengembangan ABDINE Jurnal Pengabdian Masyarakat Journal of Artificial Intelligence and Digital Business CKI On Spot SmartComp Jurnal Pengabdian Nasional (JPN) Indonesia kawanad Journal Innovations Computer Science International Journal of Computer Technology and Science International Journal of Information Engineering and Science Informasi interaktif : jurnal informatika dan teknologi informasi Journal of Engineering, Electrical and Informatics
Betty Yel, Mesra
ST Ilmu Komputer Cipta Karya Informatika
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IMPLEMENTASI SISTEM PEMASARAN CERDAS BERBASIS DIGITAL PLATFORM UNTUK OPTIMALISASI PENJUALAN PRODUK GAMIS PADA UMKM INDAH COLLECTION Yel, Mesra Betty; Akbar, Yuma; Rivaldo, Ryan; Darnov, Ibnazia; Salsabila, Salsabila
COMMUNITY : Jurnal Pengabdian Kepada Masyarakat Vol. 6 No. 2 (2026)
Publisher : Pusat Pengembangan Pendidikan dan Penelitian Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51878/community.v6i2.10348

Abstract

Digital transformation has become imperative for Micro, Small, and Medium Enterprises (MSMEs) to maintain and enhance their competitiveness in the current digital era. Indah Collection, an MSME specializing in Muslimah fashion (gamis), faces business challenges due to limited market reach. This limitation stems from a shift in consumer habits towards online shopping, while the business remains reliant on conventional marketing methods. This community service research aims to design and implement a smart marketing system based on a digital platform to address these issues. The methodology employs a qualitative approach, utilizing semi-structured interviews with the business owner and literature review, followed by needs analysis and system design using the Agile Scrum development model. The outcome of this initiative is the implementation of a WordPress-based website functioning as a 24-hour digital showroom, integrated with e-commerce accounts to provide a more secure transaction platform. This implementation not only enhances product visibility and reach on a national scale but also improves operational efficiency in marketing. ABSTRAK Transformasi digital saat ini merupakan sebuah keharusan bagi Usaha Mikro, Kecil, dan Menengah (UMKM) untuk mempertahankan dan meningkatkan daya saing di era digital ini. UMKM Indah Collection, yang berfokus pada produk busana muslim (gamis), menghadapi tantangan bisnis dalam keterbatasan jangkauan pasar akibat beralihnya kebiasaan masyarakat ke perbelanjaan via online, dan Indah Collection masih bergantung pada metode konvensional. Penelitian pengabdian masyarakat ini bertujuan untuk merancang dan mengimplementasikan sistem pemasaran cerdas berbasis platform digital untuk mengatasi hal tersebut. Metodologi yang digunakan adalah pendekatan kualitatif dengan wawancara semi-terstruktur dengan pemilik usaha dan studi literatur, kemudian dilanjutkan dengan analisis kebutuhan serta perancangan sistem dengan model pengembangan sistem Agile Scrum. Hasil dari kegiatan ini adalah terimplementasinya sebuah website berbasis WordPress yang berfungsi sebagai showroom digital 24 jam dan terintegrasi dengan akun e-commerce sebagai tempat bertransaksi yang lebih aman. Hal ini tidak hanya meningkatkan efisiensi visibilitas produk secara nasional, tetapi juga meningkatkan efisiensi operasional dalam pemasaran.
PEMANFAATAN MEDIA DIGITAL UNTUK PENGUMPULAN DAN ANALISIS DATA PELANGGAN UMKM SEBAGAI DASAR STRATEGI PROMOSI Dahliyanti, Nova; Yel, Mesra Betty; Putri, Elmira Rafa; Fadhilah, Ari Sandi; Chaniago, Axel Rajaliu
COMMUNITY : Jurnal Pengabdian Kepada Masyarakat Vol. 6 No. 2 (2026)
Publisher : Pusat Pengembangan Pendidikan dan Penelitian Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51878/community.v6i2.10360

Abstract

The development of information technology encourages Micro, Small, and Medium Enterprises (MSMEs) to adapt their promotional strategies in order to compete in the digital era. However, many MSMEs still rely on conventional promotion methods, resulting in limited marketing reach. This study aims to develop an MSME profile website as a digital promotional medium that is informative and easily accessible to consumers. The research method used is a system development approach consisting of needs analysis, design, implementation, and system testing stages. Data were collected through observation, interviews with MSME owners, and documentation studies. The developed website contains business profile information, product menus and prices, and MSME contact details. The results show that the MSME profile website can expand promotional reach and facilitate consumers in obtaining business information. In addition, the website helps improve the professional image and competitiveness of MSMEs. Therefore, the development of an MSME profile website can be an effective solution to support the digital transformation of MSMEs as a technology-based promotional medium. ABSTRAK Perkembangan teknologi informasi mendorong pelaku Usaha Mikro, Kecil, dan Menengah (UMKM) untuk beradaptasi dalam penggunaan strategi promosi agar mampu bersaing di era digital. Namun, masih banyak UMKM yang bergantung pada promosi konvensional sehingga jangkauan pemasaran menjadi terbatas. Penelitian ini bertujuan untuk mengembangkan website profil UMKM sebagai media promosi digital yang informatif dan mudah diakses oleh konsumen. Metode penelitian yang digunakan adalah metode pengembangan sistem yang meliputi tahapan analisis kebutuhan, perancangan, implementasi, dan pengujian sistem. Pengumpulan data dilakukan melalui observasi, wawancara dengan pemilik UMKM, serta studi dokumentasi. Website yang dikembangkan memuat informasi profil usaha, menu dan harga produk, serta kontak UMKM. Hasil penelitian menunjukkan bahwa website profil UMKM mampu memperluas jangkauan promosi dan memudahkan konsumen dalam memperoleh informasi usaha. Selain itu, website membantu meningkatkan citra profesional UMKM dan daya saing usaha. Dengan demikian, pengembangan website profil UMKM dapat menjadi solusi efektif dalam mendukung transformasi digital UMKM sebagai media promosi berbasis teknologi.
Implementasi Mikrotik untuk Kebutuhan Access Internet Pelanggan UMKM Warung Kopi Opung Kemayoran Jakarta Pusat Wijayanto, Willy; Sarimole, Frencis Matheos; Yel, Mesra Betty
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 5 No. 1 (2026): Februari - April
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v5i1.6453

Abstract

Perkembangan teknologi informasi menjadikan akses internet sebagai kebutuhan yang penting bagi Usaha Mikro, Kecil, dan Menengah (UMKM), khususnya warung kopi yang menyediakan layanan WiFi publik bagi pelanggan. Warung Kopi Opung Kemayoran Jakarta Pusat sebagai objek penelitian menghadapi permasalahan berupa koneksi internet yang kurang stabil, pembagian bandwidth yang tidak merata, serta belum optimalnya sistem keamanan dan autentikasi pengguna. Permasalahan tersebut berdampak pada menurunnya kualitas layanan dan kenyamanan pelanggan. Kegiatan Kuliah Kerja Praktek ini bertujuan untuk merancang dan mengimplementasikan manajemen jaringan berbasis MikroTik RouterOS sebagai solusi untuk meningkatkan kualitas layanan akses internet. Metode yang digunakan adalah metode campuran (mixed method), meliputi observasi dan wawancara dengan pengelola sebagai data kualitatif, serta pengukuran parameter jaringan seperti throughput, latency, jitter, dan kecepatan akses sebagai data kuantitatif. Implementasi dilakukan melalui konfigurasi dasar MikroTik, penerapan firewall dan keamanan jaringan, pengelolaan bandwidth menggunakan metode Per Connection Queue (PCQ) dan Queue Tree, serta penerapan hotspot dengan sistem captive portal untuk autentikasi pengguna. Hasil implementasi menunjukkan bahwa pengelolaan akses internet menjadi lebih stabil, merata, dan terkontrol. Kesimpulannya, penerapan manajemen jaringan berbasis MikroTik efektif meningkatkan kualitas layanan internet. Solusi ini dapat direkomendasikan sebagai penerapan praktis bagi UMKM dalam mengelola jaringan internet secara aman dan berkelanjutan.
Klasifikasi Kulit Wajah untuk Rekomendasi Produk Skincare Menggunakan Convolutional Neural Network (CNN) Lestari, Sri; Yel, Mesra Betty; Fallah, Ahlan Nur; Simanungkalit, Giraldi Freddy; Fadiliah, M. Ilyan; Adicandra, M. Dicky; Mulyana, Dadang Iskandar; Sutisna, Sutisna
Jurnal EMT KITA Vol 10 No 3 (2026): JULY 2026
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET) - Lembaga KITA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/emt.v10i3.6321

Abstract

This study utilizes the ResNet50 architecture with transfer learning techniques. The dataset consists of 5,200 facial images categorized into five classes: normal, dry, oily, combination, and sensitive. Data was split with an 80:10:10 ratio for training, validation, and testing. Data augmentation was applied to increase dataset variety. The recommendation system was developed using a content-based filtering approach with rule-based mapping between classification results and product attributes. The ResNet50 model achieved a classification accuracy of 90.4% on test data, with the highest F1-score for the oily class (94.7%) and the lowest for the sensitive class (86.9%). The recommendation system produced a Mean Reciprocal Rank (MRR) of 0.82 and precision@3 of 0.76. User satisfaction testing with 50 participants showed an 84% satisfaction rate. CNN with the ResNet50 architecture is effective for facial skin type classification with high accuracy. The integration of the classification system with content-based recommendation mechanisms successfully provides relevant skincare product recommendations. This system has the potential to become a digital tool that can enhance public skin health literacy and reduce errors in skincare product selection.
Design of An Internet of Things-Based Temperature And Light Monitoring System In The Classroom of SDN Bojong 02 Mesra Betty Yel; Satria Wira Yudha; Nandang Sutisna; Muhammad Rafli Fadillah
International Journal of Computer Technology and Science Vol. 1 No. 3 (2024): July : International Journal of Computer Technology and Science
Publisher : Asosiasi Riset Teknik Elektro dan Infomatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijcts.v1i3.319

Abstract

One of the goals of a building is to create a comfortable environment that does not affect the health and operations of its occupants, therefore a system needs to be created to ensure comfort in classrooms. To fulfill a comfortable situation, there is a standard that regulates comfort, especially thermal and visual comfort. Thermal comfort is regulated in SNI 03-6572-2001 and visual comfort is regulated in SNI 03-6575-2001. The aim of this research is to design a tool to automatically monitor temperature and lighting, determine greater accuracy, determine temperature and lighting comfort distances, and test Smart Comfort measurement results in accordance with the SNI-03-6571-2001 and SNI-03-6575-2001 conformity standards. This design uses ESP32 with IoT-based LDR and DHT11 sensors which can be seen on the web and application, determines the accuracy and range of Smart Comfort values for monitoring temperature and lighting and determines the suitability of measurement quantities in the SDN PINANG 3 classroom.
Optimization of Real-Time Student Face Recognition Attendance Using the YOLO v10 Algorithm Mesra Betty Yel; Elviwani Elviwani; Nandang Sutisna; Ziyad Fernanda Syams
International Journal of Computer Technology and Science Vol. 2 No. 4 (2025): International Journal of Computer Technology and Science
Publisher : Asosiasi Riset Teknik Elektro dan Infomatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijcts.v2i4.328

Abstract

This research is motivated by the problems in manual attendance systems at schools, which remain vulnerable to fraud, time-consuming, and inefficient. The expected solution is to develop an automated attendance system based on face recognition that can operate in realtime with high accuracy. The research object is vocational high school students, with the applied method implementing the YOLO v10 algorithm for face detection, followed by the face_recognition library for identification. The instruments used include an Imou CCTV camera as the input device, a mid-range laptop as the hardware platform, and Python with SQLite as the software environment for data processing and attendance storage. The results show that the developed system achieved an average face detection accuracy of 96% under normal lighting and 91% under low lighting, with an average processing speed of 27 FPS. The implementation of an anti-duplication feature also ensured data validity by allowing each student to be recorded only once per day. In conclusion, the use of YOLO v10 in face-based attendance proved to be effective, efficient, and capable of reducing fraud. The implication of this study is that the system can be applied in both Islamic boarding schools and general schools as a modernization of attendance systems, with a recommendation for further development through web-based application and cloud database integration.
Implementation of the Naive Bayes Model Multicategory for Analysis Sentiment Product Wardah on Shopee E-Commerce Mesra Betty Yel; Sopan Adrianto; Rasiban Rasiban; Eva Widiyanti
International Journal of Information Engineering and Science Vol. 2 No. 2 (2025): May : International Journal of Information Engineering and Science
Publisher : Asosiasi Riset Teknik Elektro dan Infomatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijies.v2i2.6

Abstract

The growth of information technology has driven changes in consumer behavior, one of which is through e-commerce platforms such as Shopee. This phenomenon has generated a large number of customer reviews, including those for local cosmetic products such as Wardah. These reviews serve as an important source of information for understanding customer perceptions and satisfaction levels. However, manual analysis of large and linguistically diverse datasets is inefficient and potentially subjective. This study aims to implement the multi-category Naive Bayes algorithm to classify the sentiment of Wardah product reviews on Shopee into three categories: positive, negative, and neutral. The data were collected using a web scraping technique and processed through a series of preprocessing stages including case folding, tokenization, stopword removal, stemming, and text cleaning. Subsequently, term weighting was performed using the TF-IDF method prior to classification. Model performance was evaluated using a confusion matrix as well as accuracy, precision, and recall metrics. The results indicate that the multi-category Naive Bayes algorithm achieved an accuracy of 86.00%, a precision of 86.63%, and a recall of 98.24%. This approach can assist business practitioners in objectively understanding customer opinions and supporting decision-making in business strategy and product development.
Public Sentiment Analysis on the Issue of Stopping Tax Payments on Twitter Using the Naive Bayes Method and Support Vector Machine Mesra Betty Yel; Yuma Akbar; Sugiyono Sugiyono; Nova Mahendra
Journal of Engineering, Electrical and Informatics Vol. 2 No. 1 (2022): Februari : Journal of Engineering, Electrical and Informatics
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jeei.v2i1.203

Abstract

This research was conducted to find out public opinion on the Stop Paying Tax Issue on Twitter social media. In this study the author aims to use the Naïve Bayes Algorithm and Support Vector Machine in analyzing positive and negative sentiment labels and knowing the results of the accuracy of the Naïve Bayes algorithm and Support Vector Machine in posts by Twitter social media users related to Stop Paying Taxes. The data collection process in this study will using public data sets. The public data set is obtained from 2000 tweets. The final result of this comparison with the two test methods uses the naïve byes algorithm and Support Vector and Machine, namely the prediction results of Public Sentiment on Stop Paying Tax Issues based on data obtained from Twitter and implemented with the SVM (Support Vector Machine) method showing an accuracy value of 84.77 % Of the test data, it is predicted that 1,192 data are Negative Sentiment and 174 data are Positive Sentiment. Of the 1367 test data, 883 data were predicted as Negative Sentiment and 483 data as Positive Sentiment For the prediction results from Negative Sentiment, there were 1367 data predicted Negative and 1 data predicted Positive.
Application of TF-IDF and Xgboost Methods for Public Sentiment Analysis Towards Ozzaskin Skincare Brand on Social Media Mesra Betty Yel; Elviwani Elviwani; Nova Dahliyanti; Ahmad Syahran Zidane
Journal of Engineering, Electrical and Informatics Vol. 5 No. 1 (2025): Journal of Engineering, Electrical and Informatics
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jeei.v5i1.3676

Abstract

Ozzaskin is a local skincare brand founded by Ustadzah Oki Setiana Dewi that targets Muslim women and focuses on reducing dark spots and acne scars. Over time, this domestic brand has attracted considerable public attention on social media—particularly among mothers—garnering both praise for its product efficacy and criticism regarding price and texture. This study aims to analyze public sentiment toward the Ozzaskin brand by performing web scraping on Instagram and TikTok data, employing TF-IDF for textual feature extraction and XGBoost as the classification algorithm. The findings are expected to provide a comprehensive overview of consumer perceptions of Ozzaskin and to assist the marketing team and product developers in formulating communication strategies and improving product formulas that more effectively address user needs. The novelty of this research lies in the comprehensive application of the TF-IDF + XGBoost framework for brand-related sentiment analysis on Indonesian-language social media.
Implementation of Android-Based Futsal Court Booking Application Using Flutter (Case Study: Futsal Hayani Kopti, West Cengkareng) Veri Arinal; Mesra Betty Yel; I Komang Dewa Ananda Putra; Fauzan Azima; Mohammad Farhan; Muhammad Ikhsan Hakim; Dadang Mulyana Iskandar; Sutisna Sutisna
International Journal Software Engineering and Computer Science (IJSECS) Vol. 6 No. 1 (2026): APRIL 2026
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET) - Lembaga KITA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v6i1.6496

Abstract

The rapid development of information technology has encouraged service providers to improve efficiency and service quality, including in futsal court rental services. At Futsal Hayani Kopti Cengkareng Barat, the court booking process is still conducted manually through phone calls or direct visits, which often results in scheduling conflicts, limited access to information, and unstructured data management. These conditions reduce the effectiveness and efficiency of the booking process. This practical work aims to design and implement an Android-based futsal court booking application using the Flutter framework. The developed application provides real-time information on court availability, rental prices, facilities, and online booking features. In addition, the system assists administrators in managing booking schedules and transaction data in a centralized manner. The research method applied is qualitative, employing observation, interviews, documentation, and literature study. System development follows the System Development Life Cycle (SDLC) approach with an internet-based client–server architecture. The implementation results indicate that the application improves booking efficiency, reduces scheduling conflicts, and enhances service quality as well as user satisfaction.
Co-Authors Abdulloh Adicandra, M. Dicky Adnan Wahab Adzani, Adinda Mutiara Agus Tanti Rahayu Ahluna, Faza Ahmad Bustomi Zuhari Ahmad Bustomi Zuhari Ahmad Saepudin Ahmad Syahran Zidane Akbar, Yuma Aldi Sitohang Almazar, Nufaisa Aloisius Awang Hariman Alwanto, Hilmi Amat Solihin Amelia, Ika Angel, Gadies Ari Ramadhan Arinal, Veri Aris Sufriman Aryanti, Putri Gea Azzizah, Putri Salfa Dhiyaa A’allya Nabilla B, Muhamad Hasbi Toharudin Bobby Arvian James Candra Milad Ridha Eislam Chaniago, Axel Rajaliu Dadang Iskandar Mulyana` Dahliyanti, Nova Darnov, Ibnazia Dewi Riyanti Wibowo Eka Maheswara Elviwani Elviwani Eri Novitasari Eva Widiyanti F, Joe Renaldy Fadhil Khanifan Achmad Fadhilah, Ari Sandi Fadiliah, M. Ilyan Fadlurohman Zaki Rifa’i Fallah, Ahlan Nur Fauzan Azima Febrianti, Syafira Fernanda Adhipramana Ferry Fajar Pratama Franido, Richard Frencis Matheos Serimole Hafizh, Muhammad Jundi Heny Nengsih Herdiyansyah herdi Hartanto Hutabarat, Joey Abdiner Parlindungan I Komang Dewa Ananda Putra Ikhwanul Kurnia Rahman Imantara, Alaqsha Gilang Jaya, Mulia Adi Jodi Juliansah Kamali, Muhamad Fawaz Kastum Kastum Lailany, Afyra Ar’bah Mahyuddin K. M Nasution Mainia Mayasari Marsan, Alvin Cahya Pratama Maulida, Aulia Miftahul Huda Moerdyanto, Adjie Wongso Mohammad Farhan Mubarak, Zulfikar Yusya Muhamad Ikbal Muhammad Dzaky Rahmanto Muhammad Faizal Lazuardi Muhammad Ikhsan Hakim Muhammad Rafli Fadillah Muhammad Syahrul Fattah Ramadhan Mulya, Citra Pricylia Ananda Mutia Ramadhan Nandang Sutisna Nandang Sutisna Nesti Lutfianti Nova Dahliyanti Nova Mahendra Nugroho, Agung Yuliyanto Nurfaishal, Muhammad Dzaky Nurhidayanti, Dian Nurjanah Nurjanah Oka Prasetiyo Okta Saputra Oky Tria Saputra7 Opi Irawansah, Opi Pakpahan, Gabriel Alezhandro Pane, Ropindo Pelix Prasetyo, Aji Dwi Putra, Adaffi Aditya Putri S, Dhiyah Labibah Nauli Putri, Elmira Rafa Rahmanto, Muhammad Dzaky Rasiban Rasiban Rasiban Ravelino, William David Regita, Anggit Nur Hannaa Richard Franido Rifai, Hanna Sabilla Rivaldo, Ryan Rizkia Rachma Rodhiyah Rosiana, Grace Lolita Sahrul Hidayat Saidah, Andi Saifullah, Shoffan Salsabila, Salsabila Sari Agustia Ningtyas Sarimole, Frencis Matheos Satria Wira Yudha Septiansyah, Ade Setiawan, Kiki Sfenrianto Sfenrianto Sfenrianto, Sfenrianto Shofy Kamila El Fajriah Siahaan, Rizkyrino Ronaldhino Simanungkalit, Giraldi Freddy Sinaga, Putri Cahyani SOPAN ADRIANTO Sopan Adrianto Sri Lestari Sugiyono Sugiyono Sutisna Sutisna Sutisna Sutisna Tafonao, Rekardius Tri Wahyudi Tundo, Tundo Untung Wahyudi Wahyu Hidayat Wijayanto, Willy Yusuf, Musalim Zaeny Miftah Ziyad Fernanda Syams