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All Journal Explore: Jurnal Sistem Informasi dan Telematika (Telekomunikasi, Multimedia dan Informatika) Jurnal Sosioteknologi Jurnas Nasional Teknologi dan Sistem Informasi Jurnal Ilmiah KOMPUTASI CIRCUIT: Jurnal Ilmiah Pendidikan Teknik Elektro Jurnal Teknik Informatika UNIKA Santo Thomas JPP IPTEK (Jurnal Pengabdian dan Penerapan IPTEK) Jurnal Teknologi Sistem Informasi dan Aplikasi J-SAKTI (Jurnal Sains Komputer dan Informatika) JUTEKIN (Jurnal Manajemen Informatika) JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) IJEEIT : International Journal of Electrical Engineering and Information Technology Jurnal Tekno Kompak Applied Technology and Computing Science Journal Jurnal Tata Kelola dan Kerangka Kerja Teknologi Informasi bit-Tech Jurnal Informasi dan Teknologi JTIK (Jurnal Teknik Informatika Kaputama) Journal Cerita: Creative Education of Research in Information Technology and Artificial Informatics G-Tech : Jurnal Teknologi Terapan Abdi Laksana : Jurnal Pengabdian Kepada Masyarakat Jurnal Teknologi Informatika dan Komputer Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Jurnal Restikom : Riset Teknik Informatika dan Komputer Jurnal Computer Science and Information Technology (CoSciTech) IICS KLIK: Kajian Ilmiah Informatika dan Komputer J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Info Sains : Informatika dan Sains International Journal of Informatics, Information System and Computer Engineering (INJIISCOM) Jurnal Pengabdian Kepada Masyarakat Abdi Nusa Jurnal Pengabdian Kepada Masyarakat Abdi Putra Jurnal Teknik Informatika Unika Santo Thomas (JTIUST) Jurnal Pengabdian kepada Masyarakat Politeknik Negeri Batam International Journal Engineering and Applied Technology (IJEAT) Jurnal Sains Informatika Terapan (JSIT) Jurnal Pengabdian Masyarakat Bhinneka Biner : Jurnal Ilmiah Informatika dan Komputer Jurnal Pengabdian Masyarakat Bangsa Indonesian Journal of Community Empowerment Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Prosiding SENTIMETER : Seminar Nasional Teknologi Informasi, Mekatronika, dan Ilmu Komputer
adang badru jaman,anggun fergina, adang badru jaman,anggun fergina
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Rancang Bangun Aplikasi Pemantauan Detak Jantung dan Pelacakan Lokasi bagi Penderita Lemah Jantung Berbasis IoT dan Android Somantri, Somantri; Fergina, Anggun; Maulana, Yosep
Jurnal Teknologi Sistem Informasi dan Aplikasi Vol. 6 No. 3 (2023): Jurnal Teknologi Sistem Informasi dan Aplikasi
Publisher : Program Studi Teknik Informatika Universitas Pamulang

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Abstract

Weak heart is a medical condition that reduces the heart's ability to heat blood throughout the body with optimal efficiency. People with weak heart need regular monitoring regarding their heart condition. Under normal conditions, they should measure the heart rate regularly otherwise a weak heart can lead to serious complications such as acute heart failure or arrhythmias. By using the application, people with heart failure can monitor early signs and symptoms that might indicate complications. The data collected by the application can assist in detecting early changes that are potentially harmful to the patient's health. In this study, the authors designed and developed an IoT and Android-based heart rate monitoring and location tracking system using the prototype method. The prototype method is used in the process of developing this system because it is capable of producing initial prototypes of tools and applications that can be used for testing and validating concepts before carrying out a full implementation. This system consists of two main components, the first is a component of hardware (hardware) and the second is a component of software (software). The hardware used is a pulse sensor that is connected to an Android device via a wireless connection. This sensor is able to detect the patient's heart rate in real-time and send it to the Android device for further processing. In addition, this system is also equipped with a GPS tracking module that allows traveling to the user's location accurately. Software developed using the App Inventor platform. This Android application has an easy-to-use user interface. This application can display real-time heart rate data in graphical form and provide notifications if a significant change is detected in the patient's heart rate. In addition, this application can also display the patient's location on an interactive map. The test results show that this system is capable of monitoring the patient's heart rate with high accuracy and sending data in real-time to an Android device. In addition, tracking the location of the patient's whereabouts was also successfully carried out with an adequate level of precision. This system provides great benefits in monitoring and treating patients with heart failure, enabling medical staff and the patient's family to take quick and appropriate action if there is a significant change in the patient's heart rate or if the patient is in an emergency situation
Comparative Analysis of Logistic Regression, SVM, Xgboost, and Random Forest Algorithms for Diabetes Classification Hidayat, Rahmat; Mahdiana, Deni; Fergina, Anggun
Jurnal Teknologi Sistem Informasi dan Aplikasi Vol. 7 No. 1 (2024): Jurnal Teknologi Sistem Informasi dan Aplikasi
Publisher : Program Studi Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/jtsi.v7i1.38258

Abstract

Diabetes is a disease that can attack anyone, where this disease occurs because there is excessive sugar content in the human body. Therefore, prevention of diabetes is necessary so that preventive measures can be given as early as possible. In this research, a classification process will be carried out using the Random Forest algorithm, Support Vector Classification and XGBoost. This research will use a dataset which consists of 768 total data with a distribution of non-diabetic data of 500 and a distribution of diabetes data of 268. For the classification results after testing, the results were that classification using random forest obtained a testing accuracy of 79.22%, with using support vector classification gets a testing accuracy of 76.62%, using XGBoost gets a testing accuracy of 79.22% using Logistic Regression gets a testing accuracy of 80.52%. The best classification value is obtained when using the Logistic Regression algorithm, namely with a precision of 79.00%, recall of 77.00% and F1-Score of 78.00%.
PERANCANGAN SISTEM PEMINJAMAN BUKU PERPUSTAKAAN MDTA ATTAWAKKAL DENGAN METODOLOGI BERORIENTASI OBYEK: PERANCANGAN SISTEM PEMINJAMAN BUKU PERPUSTAKAAN MDTA ATTAWAKKAL DENGAN METODOLOGI BERORIENTASI OBYEK Ariyanti, Gisni; Fergina, Anggun
Prosiding Seminar Nasional Teknologi Informasi, Mekatronika, dan Ilmu Komputer Vol 1 (2022): Sentimeter 2022
Publisher : Prosiding Seminar Nasional Teknologi Informasi, Mekatronika, dan Ilmu Komputer

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Abstract

Perpustakaan MDTA Attawakkal pada umumnya adalah perpustakaan yang sama dengan perpustakaan sekolah lainnya serta berfungsi sebagai media buat mencari referensi dan informasi buat memperluas pengetahuan. Proses pelaporan dan penilaian persediaan yang masih memakai cara manual menjadi salah satu penyebab keterlambatan produksi laporan peminjaman, efisiensi waktu pengerjaan yang lama, ketepatan eksekusi proses peminjaman, dan frekuensi kebutuhan informasi. Sebuah laporan yang tidak terlalu akurat. Tujuan penulis dari penelitian ini ialah untuk menganalisis, merancang, serta mengimplementasikan sistem sirkular perpustakaan MDTA Attawakkal yang terkomputerisasi untuk mengatasi permasalahan yang ada. untuk itu penulis berpendapat bahwa diperlukan suatu sistem yang terkomputerisasi untuk mengendalikan sistem peminjaman buku yang dioperasikan oleh MDTA Attawakkal. Memungkinkan layanan kebutuhan informasi ketersediaan buku di perpustakaan MDTA Attawakkal untuk memproses transaksi sirkulasi data (sewa, retur), pencarian data buku, serta pembuatan laporan lebih cepat, akurat, serta tepat waktu.
Penerapan Media Edukasi Visual Tentang Daur Dan Waktu Urai Sampah Sebagai Upaya Pembentukan Karakter Peduli Lingkungan Di MI Simpang, Kabupaten Sukabumi Fergina, Anggun; Bunga Mutiara Sagita Nabila; Lisa Al Jamil; Arnold Herman Sama; Aulia Kusuma Wardani; Fitria Nurulaeni
Abdi Laksana : Jurnal Pengabdian Kepada Masyarakat Vol 6 No 3 (2025): Abdi Laksana : Jurnal Pengabdian Kepada Masyarakat
Publisher : LPPM Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/abdilaksana.v6i3.54006

Abstract

Kegiatan pengabdian kepada masyarakat ini bertujuan untuk meningkatkan kesadaran lingkungan siswa melalui pemasangan plang edukasi waktu urai sampah di lingkungan Madrasah Ibtidaiyah (MI) Simpang, Kabupaten Sukabumi. Permasalahan utama yang dihadapi adalah kurangnya pemahaman siswa terhadap dampak jangka panjang dari sampah yang sulit terurai. Metode pelaksanaan kegiatan menggunakan pendekatan edukasi partisipatif berbasis praktik langsung yang melibatkan guru, siswa, dan masyarakat sekitar sekolah. Tahapan kegiatan meliputi observasi lokasi, perancangan konten edukatif, sosialisasi pentingnya menjaga kebersihan, serta pemasangan plang di titik-titik strategis sekolah. Plang berisi informasi tentang lama waktu terurainya berbagai jenis sampah, seperti sterofom yang tidak terurai, puntung rokok 10 tahun, plastik kresek 80 tahun, botol kaleng 250 tahun, dan botol plastik 450 tahun. Hasil kegiatan menunjukkan bahwa media edukasi visual berupa plang ini efektif menarik perhatian siswa dan meningkatkan kesadaran mereka terhadap pentingnya menjaga kebersihan lingkungan secara berkelanjutan. Program ini diharapkan menjadi model sederhana namun inovatif yang dapat diterapkan di sekolah lain sebagai upaya membangun karakter peduli lingkungan sejak dini.
Pembelajaran Web Development dan UI/UX Design PT Mitra Group (Celerates) Fergina, Anggun; Putri Syarifudin, Rayhanna Adisthi
JPP IPTEK (Jurnal Pengabdian dan Penerapan IPTEK) Vol 9, No 2 (2025): November
Publisher : Institut Teknologi Adhi Tama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/j.jpp-iptek.2025.v9i2.6897

Abstract

Pengembangan platform Giggle’s, sebuah aplikasi web yang dirancang untuk membantu desainer grafis dalam memamerkan portofolio untuk mencari peluang kerja. Proyek ini dilakukan sebagai bagian dari studi independen, dengan fokus pada penerapan Design Thinking untuk mendalami kebutuhan pengguna dan menciptakan solusi yang tepat. Tahapan-tahapan yang dilalui meliputi penelitian pengguna, pembuatan prototipe desain, dan pengembangan website menggunakan teknologi seperti React untuk front-end dan Node.js untuk back-end. Fitur utama platform ini termasuk unggah portofolio, pencarian pekerjaan, dashboard pengguna, serta fitur Dashboard Company untuk perusahaan dan Let’s Collaborate untuk transaksi pembelian dan penjualan karya desain. Hasil akhir proyek adalah aplikasi web yang fungsional, responsif, dan sesuai dengan kebutuhan desainer grafis, yang juga berfungsi sebagai sarana untuk menghubungkan desainer dengan peluang kerja serta kolaborasi desain.
Implementasi Convolutional Neural Network untuk Deteksi Penyakit pada Daun Cengkeh Berbasis Mobile: Bahasa Indonesia Junmulyana, Satria; Fergina, Anggun; Insany, Gina Purnama
Computer Science and Information Technology Vol 6 No 3 (2025): Jurnal Computer Science and Information Technology (CoSciTech)
Publisher : Universitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/coscitech.v6i3.9895

Abstract

Clove (Syzygium aromaticum) is a spice crop that has high economic value, but faces serious threats from various diseases that can reduce yields. Early detection of disease in clove plants is very important to prevent greater losses. This research aims to develop a disease detection system for clove plants using Convolutional Neural Network (CNN) implemented in a mobile application. This method is expected to provide a faster and more accurate solution compared to traditional detection methods that are often inefficient. This research was conducted by collecting datasets of infected and healthy clove leaf images, which were then used to train the CNN model. The results show that the developed CNN model is able to achieve high disease detection accuracy, and can be integrated with mobile technology to facilitate farmers in identifying diseases in real-time. Thus, this research not only contributes to increasing agricultural productivity, but also supports the application of digital technology in the agricultural sector. The results of this research are expected to benefit farmers, researchers, and the agricultural industry as a whole.
Workshop Pola Hidup Bersih dan Sehat Untuk Siswa MI Simpang Kabupaten Sukabumi Anggun Fergina; Aulia Kusuma Wardani; Sehan Zaki Nurmilad; Ardelia Ramadhani; Ahmad Dinar; Alya Nurhalisah
Jurnal Pengabdian kepada Masyarakat Politeknik Negeri Batam Vol. 7 No. 2 (2025): Jurnal Pengabdian kepada Masyarakat Politeknik Negeri Batam
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/abdimaspolibatam.v7i2.11449

Abstract

This community service activity aimed to increase awareness and understanding of clean and healthy living behavior among elementary school students. The workshop, held on August 7, 2025, at MI Simpang, involved interactive learning sessions and practical demonstrations, including proper handwashing techniques. Students actively participated in the activities and showed great enthusiasm. As a result, the workshop successfully improved students’ knowledge and personal hygiene awareness. This initiative is expected to contribute to the creation of a cleaner and healthier school environment.
Optimalisasi Peran Petugas Brimen Dalam Mendukung Kegiatan Operasional Prihatini, Prihatini; Fergina, Anggun
Jurnal Pengabdian Masyarakat Bhinneka Vol. 4 No. 3 (2026): Bulan Februari
Publisher : Bhinneka Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58266/jpmb.v4i3.1161

Abstract

Kegiatan pengabdian masyarakat ini dilaksanakan melalui Study Completion Program (SCP) jalur internship Universitas Nusa Putra, yang diadakan di PT Bank Rakyat Indonesia (Persero) Tbk Unit Ciherang, terutama di bagian BRIMEN (Briguna Management). Sasaran dari kegiatan ini adalah untuk memaksimalkan pengelolaan serta digitalisasi dokumen pinjaman agar efisiensi operasional dan organisasi dalam administrasi bisa meningkat.Metode pelaksanaan kegiatan menggunakan pendekatan deskriptif kualitatif melalui observasi, praktik kerja langsung, dan dokumentasi. Hasil kegiatan menunjukkan bahwa pendampingan dalam pengelolaan arsip kredit dan digitalisasi dokumen mampu meningkatkan kerapihan arsip, mempermudah proses pencarian dokumen, serta mendukung pelayanan kredit dan kebutuhan audit internal. Kegiatan ini juga memberikan manfaat bagi mahasiswa berupa peningkatan kompetensi teknis dan profesional. Dengan demikian, kegiatan pengabdian ini memberikan kontribusi positif bagi mitra dan institusi pendidikan
Comparison of K-means and DBSCAN Web- Based Food in Clustering Based on Nutritional Content Gina Purnama Insany; Anggun Fergina; Muhammad Ilham Juardi
bit-Tech Vol. 8 No. 2 (2025): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i2.2813

Abstract

Food is the main energy source for the human body; however, poor dietary habits can lead to health risks such as obesity and cardiovascular diseases. Understanding the nutritional composition of food is essential to support healthier dietary decisions. Clustering food based on nutritional content can support personalized diet planning and assist healthcare professionals in recommending healthier food choices. This study applies clustering techniques to group foods based on their nutritional content specifically carbohydrate, calorie, protein, and fat levels using K-Means and DBSCAN algorithms. These unsupervised learning methods are suitable for analyzing numerical data without predefined categories. A key challenge in clustering is determining the optimal number of clusters; thus, evaluation methods such as the Elbow Method, Davies-Bouldin Index (DBI), and Silhouette Score were utilized. The K-Means algorithm achieved a Silhouette Score of 0.578 and a DBI of 0.661, indicating reasonably good clustering, though cluster separation was not optimal. In contrast, DBSCAN outperformed K-Means with a Silhouette Score of 0.626 and a DBI of 0.328, suggesting more compact and well-defined clusters. This indicates that DBSCAN formed more distinct and separated clusters, which is essential for effective grouping of foods based on nutritional similarity. The clustering results were deployed via an interactive web application using Streamlit an open-source Python framework enabling rapid development of lightweight web interfaces. This platform allows users to interactively explore clustering patterns through visualizations and tables, providing an intuitive tool to understand food groupings based on nutritional profiles
Optimization Of Food Product Sales System and Customer Service Through Customer Relationship Management Approach Anggun Fergina; Yulva Cintakandida; Gina Purnama Insany
bit-Tech Vol. 8 No. 2 (2025): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i2.2943

Abstract

ABC Kitchen, a micro, small, and medium enterprise (MSME) in the culinary sector, faced operational inefficiencies due to manual data management and a lack of integration between ordering and payment processes. This study developed a web-based Customer Relationship Management (CRM) system using the IDIC (Identify, Differentiate, Interact, Customize) model to address these issues. Functional validation was conducted using black-box testing, which evaluates system performance against predetermined requirements without examining the internal code structure. Test results on four captured pages demonstrated a 100% success rate across 13 functional scenarios. The system enables automatic customer identification from transaction history, personalized promotions through preference-based differentiation, real-time interactions through an intuitive user interface, and service customization such as vouchers, various payment options, and VIP membership features. Furthermore, an analytics dashboard provides administrators with actionable insights to monitor customer behavior and sales trends, supporting data-driven decision-making. This study contributes to the MSME digital transformation literature by demonstrating how CRM integration can enhance customer engagement, improve operational efficiency, and provide a competitive advantage in a dynamic market environment. The novelty of this study lies in tailoring CRM to the specific operational and marketing needs of micro-scale culinary businesses, enabling sales growth and customer loyalty through an easily accessible sales system. This study demonstrates how context-specific digital CRM solutions can accelerate MSMEs' digital transformation, increase competitiveness, and create a sustainable foundation for growth in a dynamic market. 
Co-Authors Aan Setiawati Adang Badru Jaman adang badrujaman Adhitia Erfina Adil Berliana Aprilia Haryadi Ahmad Dinar Ahmad Ibrahim Maqbul Alex Alfariji, Salman Alpariji, Salman Alun Sujjada Alun Sujjada Alun Sujjada Alya Nurhalisah Alyanissa Putri Iskandar Amalia, Eneng Elsa Amalia, Phina Putri Amanna Dzikrillah Lazuardini Andhika Oktasandira Ani Nuraeni Any Elvia Jakfar Ardelia Ramadhani Ariyanti, Gisni Armelia Isabela Taek Arnold Herman Sama Aulia Kusuma Wardani Aulia Kusuma Wardani Awalansyah, Campaka Sepul Ayulianti, Radita Bahadir Ozsut Berniman Gofindo Malau Bunga Mutiara Sagita Nabila Dafa Afdal D Dava Febrian Dede Serlina Dede Sukmawan Dede Sukmawan Deni Mahdiana DENI SETIAWAN Deshinta Arovva Dewi Deudeu Sri Rahayu Dhea Adela Dhea Ayu Septiani Dhita Diana Dewi Dian Permata Sari Diana Effendi Dimas Arya Pamungkas Dini Aryani Dini Oktarina Dwi Handayani Dwi Sartika Simatupang Edwinanto Estiko Rijanto Fadilah, Fadhlan Subhan Fadillah Alviqih Fakhriyal Riyandi Yasin falentino sembiring Faris Danendra Fatur Rahman Gandi Fauzan, M. Azmi Feby Alfaraby Fikry Ardiansyah Efendi Firdaos, Helfi Apriliyandi Fitri Febrianti Fitria Nurulaeni Fitria Nurulaeni Gina Purnama Insany Gina Purnama Insany Gisni Ariyanti Gisni Ariyanti Handraputri, Chelika Patricia Hanifah, Endah Hendrawan, Yoga Herisma, Dera Destri Hermanto Hermanto Hermanto, H Ian Mulyana Ikhsan, Sultan Alif Nur Ilham Nurabduljabbar Komara Imam Sanjaya Imam Sanjaya Indra Yustiana Indra Yustiana Indra Yustiana Insany, Gina Purnama Irawan Afrianto Irfan Dwiguna Sumitra Irfan Dwiguna Sumitra Irpanudin Iskandar, Alyanissa Putri IVANA LUCIA KHARISMA Iwan Setaiawan Jaelani, Muhammad Fakhraj Jaman, Adang Badru Jelita Asian Junmulyana, Satria Kamdan Kharisma, Ivana Lucia Larasati, Indah Lisa Al Jamil Lucia Kharisma, Ivana Lusiana Sani Parwati Lusiana Sani Parwati M Azri Riyandi M Rifki Nurul R A M. Raiga Agusti Rustandi M. Sarhan Akasah M.kom, Alun Sujada Malik, Julhan Abdul Maulana Yusuf Maulana, Yosep Maulina, Siti Farda Maximillian Huang Mayang Selpiyana Mega Putri Utami Meutia Riany Miya Kurnia Moh. Abd. Aziz Hidayat Moh. Iqbal Maulana Muhamad Iqbal Ramadhan Muhammad Andi Solihin Muhammad Azmi Habibi Muhammad Ezra Haikal Muhammad Ikhsan Thohir Muhammad Ilham Juardi Muhammad Rofiiq Multiaha, M. Reza Mupaat Muslih, Muhamad Mutiara Permata Sari Nieka Julyana Nirmala Neva, Talitha Nisa Nurushalihah Nugraha Nugraha Nugraha Nugraha Nugraha Nugroho, Muhammad Daffadillah Nur Hidayah K Fadhilah Nuralam, Fraza Nurcahya Sumirat, Hana Obi Ramdhani Pamungkas, Muhammad Teguh Panji Pratama Panji Pratama Pebrian, Riko Prihatini Prihatini, Prihatini Putri Anugrah S Putri Aulia Putri Ayu Negara Putri Iskandar, Alyanissa Putri Syarifudin, Rayhanna Adisthi R, Rini Melani Rahmat Hidayat Raka Adriel Maheza Ramdhani, Mohammad Fajril Reka Reni Nur Anggraeni Renjani, Amelinda Reza Rama Putra Ridwan, Rafli Adnan rifa awaludin Rifa Awaludin Rizaldi, Fazrin Muhammad Rizki Maulana Rizki Maulana, Rizki Ruri Mutiara Ayuni S, Somantri Sagita Widya Sahira, Sarah Sally Agustin Elisya Salma Addiyanati Tsaqila Salman Alhidamkara Santi Rahmawati Satyawati Yuliani Sehan Zaki Nurmilad Seno Prasetyo Septiani, Dhea Ayu Setia, Moch Ichwan Silmy Ni’matul Kamila Siti Sarah Sobariah Lestari Siti Zahra Sifa Somantri Somantri Somantri, S Somantri, Somantri Sri Nurhayati Tampubolon, Nico Jaya Taufik Hidayat Taufik Hidayat Taufik Hidayat Tofik Hidayat Tubagus Dzikril Umar Aditiawarman Wibowo, Muhammad Hendryo Yasa, Aditama Yulva Cintakandida Yusup Solehudin Yusup, Angga Maulana Zaenal Alamsyah zahra, Nurazizah Zaman, Syamsul Zulfikar, Mohamad