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All Journal Indonesian Journal of Electronics and Instrumentation Systems TEKNIK INFORMATIKA Explore: Jurnal Sistem Informasi dan Telematika (Telekomunikasi, Multimedia dan Informatika) EXPERT: Jurnal Manajemen Sistem Informasi dan Teknologi Jurnal CoreIT Jurnal SOLMA Jurnal TAM (Technology Acceptance Model) Jurnal Cendikia CCIT (Creative Communication and Innovative Technology) Journal Istech Journal (International Science And Technology Journal) Jurnal Algoritma Universal Raharja Community (URNITY Journal) Jurnal Ilmu Komputer, Sistem Informasi, Teknik Informatika (JILKOMSITI) Jurnal Teknologi dan Informatika (JEDA) Abdi Akommedia : Jurnal Pengabdian Masyarakat Journal of Social Science Utilizing Technology Laporan Upaya Nyata Inovasi Ilmu Komputer (LUNIK) Journal of Social Science Utilizing Technology Seminar Nasional Riset dan Teknologi (SEMNAS RISTEK) Jurnal TAM (Technology Acceptance Model) Journal of Loomingulisus ja Innovatsioon Journal of Technology and Data Science
Fatimah Fahurian
Program Studi S-1 Sistem Informasi, Fakultas Komputer, Universitas Mitra Indonesia
Religion Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Physics Social Sciences Other

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Sistem Pendukung Keputusan Penentuan Pupuk Padi Unggulan Menggunakan Metode SAW pada Kelompok Tani Mekar Sari Wati, Deva Imelda Setia; Fahurian, Fatimah; Yuniarthe, Yodhi
Explore: Jurnal Sistem Informasi dan Telematika (Telekomunikasi, Multimedia dan Informatika) Vol 15, No 2 (2024): Desember
Publisher : Universitas Bandar Lampung (UBL)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36448/jsit.v15i2.3775

Abstract

Kelompok Tani adalah sekumpulan para petani yang bertujuan untuk maju bersama. Permasalahan yang terjadi pada penelitian ini adalah proses penentuan pupuk padi masih dilakukan secara manual dengan bertanya pada tetangga yang akan dibandingkan satu persatu sesuai dengan yang terbaik, yang memerlukan banyak waktu dalam mengambil keputusan yang bisa membantu kelompok tani dalam mengambil keputusan penentuan pupuk padi unggulan. Metode SAW (Simple Additive Weighting) merupakan salah satu metode yang digunakan dalam hal pengambilan keputusan untuk mendapatkan hasil yang lebih baik pada suatu permasalahan klasifikasi. Tujuan dari penelitian ini adalah untuk membangun sistem pendukung keputusan penentuan pupuk padi dengan metode. Pada penelitian ini pengembangan sistem menggunakan metode prototype dan perancangan sistem menggunakan UML (Unified Modeling Language). Dibangun dengan menggunakan bahasa pemrograman php dan database MySQL. Hasil dari penelitian menerapkan metode SAW pada sistem pendukung keputusan penentuan pupuk padi unggulan di Kelompok Tani Mekar Sari jatuh pada pupuk NPK Jati Wangi dengan nilai 0.767.
The Role of Information Systems in Facilitating Collaborative Learning in Higher Education Hayati, Amelia; Nitin, Mahon; Yunita, Hilda Dwi; Fahurian, Fatimah; Winarko , Triyugo
Journal of Social Science Utilizing Technology Vol. 2 No. 4 (2024)
Publisher : Yayasan Pendidikan Islam Daarut Thufulah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jssut.v2i4.1614

Abstract

Background. The rapid evolution of digital technologies has transformed educational practices, with information systems playing a critical role in enhancing collaborative learning in higher education. Collaborative learning, which emphasizes peer-to-peer interaction and shared knowledge construction, fosters critical thinking, problem-solving, and teamwork skills essential for the 21st-century workforce. Despite its potential, the implementation of effective collaborative learning strategies often faces challenges such as insufficient technological support and lack of engagement. Purpose. This study investigates the role of information systems in facilitating collaborative learning, focusing on their impact on student engagement, knowledge sharing, and learning outcomes. Method. A mixed-method approach was employed, combining quantitative surveys and qualitative interviews with 200 undergraduate students and 20 faculty members across three higher education institutions. Data were collected on the use of information systems such as learning management platforms, virtual collaboration tools, and online forums. Key performance indicators included student engagement, participation rates, and academic performance. Results. The findings revealed that information systems significantly enhance collaborative learning by providing a centralized platform for communication, resource sharing, and real-time interaction. Students reported a 30% increase in engagement and a 25% improvement in teamwork efficiency when using digital collaboration tools. Faculty members highlighted the ease of monitoring and supporting group activities through analytics and reporting features. Challenges such as digital literacy gaps and technical issues were also identified. Conclusion. The study concludes that information systems are pivotal in enabling effective collaborative learning by fostering connectivity, engagement, and accountability among students. Addressing challenges related to accessibility and technical support will maximize their potential in higher education.
Meningkatkan Kinerja IoT dengan Reinforcement Learning: Integrasi Data Science dan GenAI untuk Industri 5.0 Winarko, Triyugo; Fahurian, Fatimah; Yunita, Hilda Dwi; Hartanto, M Budi
Semnas Ristek (Seminar Nasional Riset dan Inovasi Teknologi) Vol 9, No 1 (2025): SEMNAS RISTEK 2025
Publisher : Universitas Indraprasta PGRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/semnasristek.v9i1.7948

Abstract

Perkembangan Internet of Things (IoT) dalam era Industri 5.0 memerlukan pendekatan yang lebih cerdas dan adaptif untuk meningkatkan kinerjanya. Salah satu metode yang dapat digunakan adalah Reinforcement Learning (RL), yang memungkinkan perangkat IoT belajar dan beradaptasi dengan lingkungan secara mandiri untuk mencapai tujuan tertentu. Penelitian ini bertujuan untuk mengkaji integrasi antara Data Science dan Generative AI (GenAI) dalam meningkatkan kinerja sistem IoT melalui pendekatan RL. Metode yang digunakan dalam penelitian ini adalah studi literatur yang mengidentifikasi penerapan RL dalam berbagai kasus IoT, serta pemanfaatan Data Science untuk analisis data besar dan GenAI untuk pengembangan model prediktif. Hasil penelitian menunjukkan bahwa penerapan RL pada sistem IoT dapat meningkatkan efisiensi operasional dengan meminimalkan latensi, optimasi penggunaan energi, dan peningkatan interaksi perangkat. Selain itu, integrasi Data Science dan GenAI memungkinkan pembuatan model yang lebih akurat dan responsif terhadap perubahan kondisi. Penelitian ini memberikan kontribusi dalam memahami potensi teknologi canggih untuk memajukan sektor industri menuju era 5.0, dengan tantangan dan peluang yang perlu diperhatikan untuk implementasi lebih lanjut.
PELATIHAN PEMROGRAMAN PYTHON UNTUK MENINGKATKAN KETERAMPILAN TEKNOLOGI GURU DI ERA DIGITAL : PYTHON PROGRAMMING TRAINING TO IMPROVE TEACHER TECHNOLOGY SKILLS IN THE DIGITAL ERA Hartanto, Budi; Hilda Dwi Yunita; Fatimah Fahurian; Triyugo Winarko; Iin Marliana; Yodhi Yuniarthe
Laporan Upaya Nyata Inovasi Ilmu Komputer Vol. 3 No. 01 (2025)
Publisher : FMIPA Unila

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The Python programming training to enhance teachers' technology skills in the digital era is an effort to address the challenges of rapid technological advancements, especially in education. As agents of change, teachers are expected to utilize technology to support a more effective and efficient learning process. The purpose of this community service is to provide training to teachers in mastering Python programming as a tool for technology-based learning. The partners in this activity are teachers from several schools with diverse educational backgrounds. The implementation of this service was carried out through a series of hands-on training sessions focused on using Python in teaching. The results of this activity show an increased understanding of technology among teachers, particularly in applying Python for various teaching purposes, and a high level of enthusiasm from participants in following each training session. The conclusion of this activity is that Python programming training is effective in enhancing teachers' technology skills, which can contribute to more innovative learning in the digital era.
ONLINE THESIS GUIDANCE MANAGEMENT INFORMATION SYSTEM AT MITRA INDONESIA UNIVERSITY Fatimah Fahurian; Khozainuz Zuhri
Jurnal TAM (Technology Acceptance Model) Vol 11, No 2 (2020): Jurnal TAM (Technology Acceptance Model)
Publisher : LPPM STMIK Pringsewu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/jurnaltam.v11i2.911

Abstract

The process of guiding the final project at the University of Mitra Indonesia has several obstacles when the process of working on student skirpsi is hampered, the difficulty of students and supervisors to conduct the guidance process. To overcome the existing problems, one effort is to build a thesis guidance information system. Therefore, the author proposes a thesis guidance information system that can be accessed anywhere and anytime. The online thesis guidance system that has been built can be applied to facilitate lecturers in examining and revising documents sent by students so that the design of an online thesis guidance system can help the final project guidance process at theUniversity of Mitra Indonesia, starting from the student registration process, sending files and interacting with the guidance process between lecturers and students. In addition, with the existence of an online thesis guidance system, it is expected that the process of implementing thesis guidance for students and lecturers will become clearer and more targeted.
Evaluasi Keterlibatan Mahasiswa Dalam Lingkungan Pembelajaran Daring Menggunakan Natural Language Processing (NLP) dan Analisis Sentimen Hartantom, Budi; Yunita, Hilda Dwi; Fahurian, Fatimah; Dirayati, Fadhilah; Winarko, Triyugo; Marliana, Iin
Jurnal Algoritma Vol 22 No 1 (2025): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.22-1.2154

Abstract

This research aims to evaluate student engagement in online learning environments using Natural Language Processing (NLP) and sentiment analysis. The research method involves text analysis of student interactions on a Learning Management System (LMS) platform, including discussion forums, comments, and messages. NLP techniques were used to identify patterns of student engagement, while sentiment analysis assessed the emotions contained in the interactions, including positive, negative, or neutral sentiments. The results show that student engagement can be effectively measured through this analysis, as well as providing an overview of engagement patterns and the factors that influence them. The findings are expected to be used to improve the quality of online learning.
Optimization of Student Grade Data Management Using RESTful API and Microservices Architecture : Case Study at Universitas Mitra Indonesia hartanto, M. Budi; Fawaati, Teuku Muhammad; Fahurian, Fatimah; Yunita, Hilda Dwi; Zuhri, Khozainuz
CCIT (Creative Communication and Innovative Technology) Journal Vol 18 No 2 (2025): CCIT JOURNAL
Publisher : Universitas Raharja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/ccit.v18i2.3603

Abstract

The management of student grade data is a critical component of academic information systems that require high efficiency and reliability. At Universitas Mitra Indonesia, the old monolithic system faced challenges in scalability, security, and accessibility. This study proposes the implementation of RESTful API and microservices architecture to optimize the management of student grade data. RESTful API serves as the primary interface for inter-service communication, while microservices allow for independent management of modules such as user authentication, grade data processing, and academic service provision. Implementation results demonstrate a 35% increase in data access speed, a 25% reduction in server load, and enhanced security through token-based authentication. This study significantly contributes to modernizing academic information systems, especially in improving the performance and scalability of digital academic services.
Big Data Processing with Neural Networks on RESTful API for Product Recommendation Using Python hartanto, budi; Fahurian, Fatimah; Dwi Yunita, Hilda; Winarko, Triyugo
Jurnal CoreIT: Jurnal Hasil Penelitian Ilmu Komputer dan Teknologi Informasi Vol 11, No 1 (2025): June 2025
Publisher : Fakultas Sains dan Teknologi, Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/coreit.v11i1.34704

Abstract

The exponential growth of e-commerce data has created an urgent need for efficient and scalable systems that provide personalized product recommendations. This study addresses that challenge by integrating big data processing with neural networks and delivering recommendations via RESTful APIs. The primary objective is to develop a system capable of handling large datasets and providing real-time recommendations to enhance user engagement. The methodology involves using Apache Spark for distributed big data processing and feature engineering, followed by the implementation of neural networks in Python using TensorFlow to generate recommendations. The system integrates the model with a RESTful API to support seamless interaction with external applications. Extensive testing was conducted on a dataset containing over a million user-item interactions to evaluate performance and scalability. The results show that the proposed system achieves better recommendation accuracy compared to traditional machine learning approaches. It processes high-dimensional data efficiently and maintains latency below 200 milliseconds per API request, making it suitable for real-time applications. The novelty of this research lies in the end-to-end design that combines a big data framework with neural networks and RESTful APIs for practical implementation. This research provides a scalable and adaptive solution for e-commerce platforms and serves as a foundation for the advancement of real-time recommendation systems in the future.
Penerapan Metode Simple Additive Weighting (SAW) Pada Sistem Pendukung Keputusan Kelayakan Sertifikasi Guru Sutriana, Mrs; Inuz, Khozainuz; Fahurian, Fatimah
Jurnal Teknologi dan Informatika (JEDA) Vol 6, No 1 (2025): APRIL 2025
Publisher : Universitas Mitra Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57084/jeda.v6i1.1991

Abstract

SMK Persada Bandar Lampung merupakan salah satu lembaga pendidikan yang memiliki permasalahan seperti pada proses penilaian kelayakan sertifikasi guru yang belum tersistem dimana sering terjadinya kekeliruan dalam proses penilaian. Proses penilaian kelayakan sertifikasi guru masih bersifat subjektif dan membutuhkan waktu untuk mengolah hasil dan dalam proses penilaian kelayakan sertifikasi guru kinerja guru dimungkinkan terjadi kesalahan. Berdasarkan uraian tersebut SMK Persada Bandar Lampung membutuhkan suatu sistem pendukung keputusan yang diharapkan dapat menemukan solusi dalam proses penentuan guru terbaik. Sistem keputusan penilaian kelayakan sertifikasi guru yang dapat mempermudah proses pengolahan data hasil penilaian penilaian kelayakan sertifikasi guru di SMK Persada Bandar Lampung. Oleh karena itu peneliti mengusulkan suatu rekayasa perangkat lunak sistem pendukung keputusan dengan menggunakan Simple Additive Weighting (SAW). Sistem ini dapat digunakan untuk memudahkan dalam proses penilaian kelayakan sertifikasi guru di SMK Persada Bandar Lampung untuk membantu sekolah khususnya kepala sekolah dalam mengevaluasi kekurangan dan kelebihan kinerja guru di SMK Persada Bandar Lampung.
Pemberdayaan Masyarakat Desa Lampung Selatan Melalui Transfer Teknologi Python untuk Ekonomi Kreatif Hartanto, M. Budi; Yunita, Hilda Dwi; Fahurian, Fatimah; Winarko, Triyugo
Jurnal SOLMA Vol. 14 No. 2 (2025)
Publisher : Universitas Muhammadiyah Prof. DR. Hamka (UHAMKA Press)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22236/solma.v14i2.18412

Abstract

Pendahuluan: Pemberdayaan masyarakat desa merupakan komponen penting dalam meningkatkan kesejahteraan sosial dan ekonomi, khususnya di wilayah Lampung Selatan. Namun, keterbatasan akses terhadap teknologi dan pengetahuan menjadi hambatan utama dalam pengembangan ekonomi kreatif yang berbasis digital. Studi ini bertujuan untuk mentransfer teknologi berbasis Python guna meningkatkan kompetensi pelaku usaha kecil dan menengah (UKM) di Kecamatan Kalianda, Kabupaten Lampung Selatan. Metode: Pelatihan berbasis praktik, lokakarya interaktif, pendampingan teknis, serta konsultasi intensif. Hasil: Adanya peningkatan dalam pemahaman dan penerapan teknologi digital, khususnya dalam manajemen usaha, analisis pasar, dan optimasi produksi. Sebanyak 65% peserta berhasil mengadopsi teknologi Python secara mandiri dalam usahanya, dengan peningkatan efisiensi operasional dan kesiapan digital. Kesimpulan: Transfer pengetahuan dan teknologi Python terbukti efektif dalam mendukung pengembangan ekonomi kreatif berbasis digital di desa, selama diiringi strategi pembelajaran yang tepat dan berkelanjutan.
Co-Authors Adit Kusnandar Admi Syarif Ahmad Ihkwan Ananta, Regi Pramudia Arief Rahman Wahid Budi Hartanto Deni Hardiannata Dirayati, Fadhilah Fathurrahman Kurniawan Ikhsan Fawaati, Teuku Muhammad Febi Andika Putra Ferry Susanto Hafiz, Aliy Hartanto, M Budi Hartanto, M.Budi Hartantom, Budi Hayati, Amelia Hilda Dwi Yunita Icha Nuari Iin Marliana ikhwan, Ahmad Inuz, Khozainuz Khozainuz Zuhri Kusnadi Kusnadi M. Budi Hartanto, M. Budi marliana, iin Maulidun Nur Nitin, Mahon Pong, Ming Pramana, Ahmad Abilah Putra, Billy Sistian Romi Hendri Rosyana Fitria Purnomo Shofi, Imam Marzuki Sri Ipnuwati Sutriana, Mrs Sutriana, Sutriana Teddy Oswari Triyugo Winarko Triyugo Winarko, Triyugo Wati, Deva Imelda Setia Wijayanti, Mira Winarko , Triyugo Yodhi Yuniarthe