Article Per Year (5 Year)
p-Index From 2021 - 2026
12.364
P-Index
This Author published in this journals
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 Jurnal Teknologi Sistem Informasi dan Aplikasi 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
Unknown Affiliation
Agriculture, Biological Sciences & Forestry Arts Humanities 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 Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Physics Public Health Social Sciences Other

Published : 92 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 92 Documents
Search

 2   3   4   5   6 
Sistem Absensi Mapel Lintas Minat SMAN 1 Cigombong Menggunakan Face Recognition Berbasis Web Lucia Kharisma, Ivana; Sahira, Sarah; Nurcahya Sumirat, Hana; Fergina, Anggun; Kamdan, Kamdan
Computer Science and Information Technology Vol 5 No 2 (2024): 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.v5i2.5500

Abstract

SMAN 1 Cigombong is a high school located on Watesjaya Street, Cigombong District, Bogor Regency, West Java, which currently still follows the KURTILAS curriculum. The student attendance system in SMAN 1 Cigombong for the English and German Language Minors is still using a manual attendance book where students sign the attendance form. This method has weaknesses such as the ease of losing or damaging the attendance book, as well as the potential for students to manipulate the attendance records. Therefore, the author proposes the implementation of a face recognition attendance system to assist in the attendance data recording process, simplify attendance tracking for teachers, and facilitate the school's management information system. The development method used for the attendance system is the waterfall method, which involves analysis, design, coding, testing, and support stages. In face recognition, the author utilizes face landmarks to store students' facial data in a database. Meanwhile, in the data collection process, several methods are used, including interviews, observations, and literature reviews.
Rancang Bangun Sistem Informasi Tracer Study Pada Teknik Informatika Universitas Nusa Putra Nugraha, Nugraha; Anggun Fergina; Alamsyah, Zaenal; Parwati, Lusiana Sani; Iskandar, Alyanissa Putri
Computer Science and Information Technology Vol 5 No 1 (2024): 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.v5i1.6691

Abstract

This research aims to implement the Tracer Study information system in the Department of Information Engineering, Nusa Putra University, with a focus on needs analysis, system design, application development, and testing. This system is designed to manage alumni data, monitor career development, and collect relevant information for study program evaluation. The successful implementation of the system is expected to increase the efficiency and effectiveness of Tracer Study, make a positive contribution to curriculum development, and improve the quality of education at universities.
Implementasi Deteksi Langsung Pada Sistem Ujian Online Menggunakan Algoritma Convolutional Neural Network Putri Iskandar, Alyanissa; Muhammad Ikhsan Thohir; Ivana Lucia Kharisma; Kamdan; Anggun Fergina
Computer Science and Information Technology Vol 5 No 2 (2024): 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.v5i2.7270

Abstract

Pendidikan adalah fondasi penting dalam pembentukan potensi manusia, dan pergeseran ke arah ujian online menandai transformasi besar dalam cara kita menilai dan mengukur pencapaian akademik. Dengan kemajuan teknologi, penggunaan sistem proctoring dengan teknologi pengenal wajah merupakan langkah progresif untuk menjaga integritas ujian. Namun, peralihan ke ujian online juga membawa tantangan tersendiri, karena kecurangan, identitas ganda, dan kurangnya pengawasan dapat mengurangi kepercayaan terhadap hasil ujian. Oleh karena itu, pengembangan sistem pengawasan yang handal dan efektif sangat penting untuk menjaga standar akademik. Penelitian ini bertujuan untuk merancang dan mengembangkan sistem pengawasan ujian online yang memanfaatkan teknologi pengenalan wajah. Proctoring ujian secara daring diperlukan untuk memastikan validitas dan keamanan ujian. Sistem yang diusulkan mengimplementasikan algoritma pendeteksi pergerakan peserta selama ujian berlangsung yang diperkuat dengan algoritma Convolutional Neural Network (CNN) untuk memonitoring perilaku selama ujian berlangsung, dan mendeteksi tindakan yang mencurigakan. Hasil dari penelitian ini diharapkan dapat memberikan kontribusi dalam meningkatkan integritas ujian online, mendorong adopsi teknologi proctoring, dan memberikan solusi yang efektif bagi institusi pendidikan yang menghadapi tantangan terkait keamanan ujian online. Dimana sistem dibangun dengan menggunakan bahasa python dan framework Laravel untuk bahasa pemrograman dan MySQL untuk DBMS-nya.
Analisis Sentimen Ulasan Pengguna Aplikasi Webtoon Menggunakan Text Mining Dan Algoritma Anggun Fergina; Ivana Lucia Kharisma; Putri Anugrah S; Armelia Isabela Taek
Jurnal Informasi dan Teknologi 2023, Vol. 5, No. 2
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60083/jidt.v5i2.355

Abstract

Line Webtoon adalah aplikasi populer untuk membaca komik secara online yang tersedia di Google Play Store. Aplikasi ini telah hadir sejak tahun 2015 dan memiliki komunitas pengguna yang besar. Dari total 35 juta pengguna aktif Line Webtoon di seluruh dunia, sekitar 6 juta di antaranya berasal dari Indonesia. Meskipun aplikasi ini sangat populer dan mendapatkan banyak ulasan bintang 5, tidak semua pengguna merasa puas dengan kinerja aplikasi Line Webtoon. Hal ini terlihat dari ulasan yang diberikan oleh pengguna di kolom komentar di Play Store. Pengguna baru sering menggunakan ulasan pengguna sebagai acuan untuk menentukan aplikasi terbaik dan memuaskan untuk digunakan. Dalam penelitian ini, dilakukan analisis sentimen pengguna aplikasi Line Webtoon dengan tujuan mengklasifikasikan ulasan pengguna menjadi sentimen positif dan negatif. Algoritma yang digunakan untuk klasifikasi adalah Support Vector Machine. Penelitian ini menggunakan total 15.000 data set yang dikumpulkan melalui web scraping dari tahun 2018 sampai 2023. Data dibagi menjadi 80% data training dan 20% data testing, dan menghasilkan nilai akurasi sebesar 82%, presisi sebesar 89%, recall sebesar 82%, dan f1-measure sebesar 85%.
Implementasi Algoritma Apriori dan FP-Growth untuk Menganalisis Pola Pembelian Produk Skincare dan Kosmetik Fergina, Anggun; Putri Ayu Negara; Alun Sujjada; Imam Sanjaya; Hermanto
Jurnal Ilmiah Komputasi Vol. 23 No. 3 (2024): Jurnal Ilmiah Komputasi : Vol. 23 No 3, September 2024
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32409/jikstik.23.3.3592

Abstract

Penelitian ini mengeksplorasi penerapan algoritma Apriori dan FP-Growth dalam menganalisis pola pembelian produk skincare dan kosmetik di Toko XYZ. Kedua algoritma ini digunakan untuk mengidentifikasi item-item yang sering dibeli bersama oleh pelanggan, yang dapat memberikan wawasan berharga untuk strategi pemasaran dan penataan produk. Data transaksi historis dari toko tersebut dikumpulkan dan diproses untuk menentukan set item yang sering muncul dan aturan asosiasi antara produk. Algoritma Apriori mengidentifikasi hubungan antar-item dengan iterasi kandidat berdasarkan nilai support dan confidence yang ditetapkan, sedangkan FP-Growth memanfaatkan struktur FP-Tree untuk efisiensi dalam pengolahan data yang besar. Hasil dari analisis ini diharapkan dapat membantu Toko XYZ dalam merancang promosi silang yang efektif, meningkatkan penjualan, dan memperbaiki pengalaman belanja pelanggan. Penelitian ini menunjukkan bagaimana teknik data mining dapat diterapkan dalam konteks bisnis ritel kecil hingga menengah untuk mengoptimalkan operasional dan pemasaran.
Penggunaan Snort Sebagai Sistem Pendeteksi Serangan Pada Jaringan Menggunakan Notifikasi Telegram (Kasus Dinas Komunikasi Informatika Dan Persandian Kabupaten Sukabumi) Fergina, Anggun; Ikhsan, Sultan Alif Nur; Alamsyah, Zaenal
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.v5i3.416

Abstract

Network security has become very important to protect individuals, companies, and agencies from threats such as cyberattacks, and data theft. Therefore, understanding the importance of network security is essential. Based on the interview results, there is a server in the Sukabumi District Command Center managed by DISKOMINFOSAN Sukabumi District, the server is used as an application server. The server does not have a network security monitoring system that provides alerts when there is an attempted attack on the server in real time. One way to improve security on the server is to use an Intrusion Detection System (IDS). IDS is a system intended to detect suspicious activity or attacks on the network. One of the main goals of IDS is to provide warnings against security threats that may occur. Snort is one of the open-source IDS tools. Snort was created to identify network attacks and provide realtime alerts to administrators when identifying certain behaviors or attack patterns. In this study the authors used the SPDLC development method. Security Policy Development Life Cycle (SPDLC) is a system development method that focuses on network security. After testing, it can be concluded that snort can be used as an IDS installed on ubuntu server 22.04, with the rules that have been made snort can detect when someone tries port scanning to the server using masscan and can detect ping attacks aimed at the server in real time. With the script that has been created, snort can send alerts to network administrators using telegram in realtime so that these alerts can be followed up immediately.
Perancangan Sistem Penjualan Pada Toko Kembar Citayam Depok Berbasis Web Hendrawan, Yoga; Fergina, Anggun
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.v5i3.422

Abstract

This research was motivated by observational data from researchers who were interested in the problems being faced by Toko Kembar Citayam. To overcome these problems, researchers conducted research at Toko Kembar Citayam which aimed to overcome and improve the quality of the store. The goal to be achieved in this study is to build a Web-based sales information system at the Depok Citayam Twin Store which is expected to facilitate to provide data information about the clarity of profit and loss and the effectiveness of subsequent sales. This research was conducted by the researcher himself who happened to work at the Depok Citayam Twin Store. Therefore, researchers have high ambitions to improve the quality of the store. The research design used is development (research and development / R D). With a case study approach at Toko Kembar Depok Citayam. Web-based sales information system development methods are made using prototype methods, and system development tools in the form of flowmaps, context diagrams, DFDs, and proposed database design tools in the form of ERDs. The author uses PHP, HTML, CSS, and Notepad for the database using MysQl
Perancangan Sistem Deteksi Objek Menggunakan Deep Learning Untuk Mengetahui Ketersediaan Parkir Berbasis Web Fergina, Anggun; Somantri, S; Ayulianti, Radita
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.v5i3.418

Abstract

Parking systems often use visual monitoring by parking guards via CCTV, who sometimes experience problems in finding available empty parking spaces. This can cause inaccuracies in directing parking users to available spaces, increasing traffic congestion around the parking area. Therefore, this research aims to design an object detection system using deep learning technology to ensure the availability of parking spaces through a web-based application using the Yolo v8 and prototype methods. Testing the essence of the system shows that object detection is carried out effectively, with box boundaries that correspond to the presence of vehicles in the parking lot. Web test results show consistency between the number of vehicles detected and the numbers displayed on empty and occupied parking slots. Usability testing involving 60 respondents showed a high level of satisfaction, with an average percentage of 91.20%, indicating the level of suitability of the system to user needs.
Aplikasi Mobile Deteksi Gangguan Mental dengan Integrasi Metode Forward Chaining dan Certainty Factor Menggunakan Rapid Application Development RAD Fergina, Anggun; Pebrian, Riko; Adela, Dhea
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.v5i3.405

Abstract

Mental disorders represent a serious public health challenge, requiring effective approaches to prevention and early recognition. Limitations in access to mental health services, such as distance, cost, and social stigma, prevent individuals from getting professional help. The system developed in this research provides an early detection solution through collecting data from questionnaires and other health information. Implementation of the Certainty Factor method measures the level of belief in symptoms of mental disorders, while Forward Chaining produces diagnoses and recommendations for action. The system integrates data from various sources, including user activity on digital platforms, making a significant contribution to technology supporting the management of mental disorders. This research is supported by literature studies and uses Unified Modeling Language (UML) for software design, strengthening the theoretical foundation in overcoming mental disorders..
Perancangan Sistem Pakar Penentuan Ekstrakurikuler Menggunakan Metode Forward Chaining di SMK Pembangunan Cibadak Ian Mulyana; Muhammad Ikhsan Thohir; Anggun Fergina
G-Tech: Jurnal Teknologi Terapan Vol 8 No 3 (2024): G-Tech, Vol. 8 No. 3 Juli 2024
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33379/gtech.v8i3.4532

Abstract

Extracurricular is a learning process that takes place outside normal class hours, aimed at developing students' interests and talents. The problem that arises is the lack of proper mapping in choosing extracurricular activities, so that students often have difficulty choosing activities that suit their interests and talents. So an expert system application was designed to assist the extracurricular selection process using the forward chaining method. The main feature of this application is calculating and calculating this data to provide appropriate extracurricular recommendations. This application development uses the waterfall method to ensure a more structured and systematic process. testing with blackbox testing with results in accordance with the plan which shows an interactive system on all devices and the results of the analysis regarding potential interests and talents are displayed in the output.
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 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 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 Sabri Nurzaman 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 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 Rini Melani R Rizaldi, Fazrin Muhammad Rizki Maulana Rizki Maulana, Rizki Ruri Mutiara Ayuni S Somantri S, Somantri Sagita Widya Sahira, Sarah Sally Agustin Elisya Salma Addiyanati Tsaqila Salman Alhidamkara Salman Alpariji 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