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All Journal Indonesian Journal of Electronics and Instrumentation Systems TEKNIK INFORMATIKA Elkom: Jurnal Elektronika dan Komputer 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 Seminar Nasional Teknologi dan Multidisiplin Ilmu Jurnal Pengabdian Masyarakat Laporan Upaya Nyata Inovasi Ilmu Komputer (LUNIK) Seminar Nasional Riset dan Teknologi (SEMNAS RISTEK) Jurnal TAM (Technology Acceptance Model) Journal of Computer Science Advancements Journal of Loomingulisus ja Innovatsioon Journal of Social Science Utilizing Technology
Fatimah Fahurian
Program Studi S-1 Sistem Informasi, Fakultas Komputer, Universitas Mitra Indonesia
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Physics Social Sciences Other

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Analisis Performansi Pendekatan Machine Learning Pada Deteksi Penyakit Daun Tanaman Kopi Purnomo, Rosyana Fitria; Yodhi Yuniarthe; Hilda Dwi Yunita; Fatimah Fahurian; Ahmad Ikhwan
Elkom: Jurnal Elektronika dan Komputer Vol. 18 No. 2 (2025): Desember : Jurnal Elektronika dan Komputer
Publisher : STEKOM PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/elkom.v18i2.3302

Abstract

Detection and identification of plant diseases is critical to the success and efficiency of agricultural production. Plant disease outbreaks are becoming more frequent throughout the world, and the presence of these diseases in cultivated plants has a significant impact on productivity. Therefore, researchers are focusing on developing effective and reliable plant disease detection methods. Thus, farmers can take advantage of early detection of this disease to minimize future losses. This article discusses machine learning approaches as well as decision trees, K-nearest neighbors, naive Bayes, support vector machines (SVM), and random forests for detecting coffee leaf diseases using leaf images. The above-mentioned classifications were researched and compared to determine the most suitable plant disease prediction model with the highest accuracy. Compared with other classification algorithms, the SVM algorithm achieves the highest accuracy of 99.75%. All the models trained above will be used by farmers to quickly identify and classify new diseases in images as a prevention strategy. As a preventive measure, farmers can detect and classify new diseases in images early.
ENTERPRISE INFORMATION SYSTEMS ARCHITECTURE SUPPORTING E BUSINESS AND E GOVERNMENT DIGITAL TRANSFORMATION Ryan Teo; Fatimah Fahurian; Triyugo Winarko
Journal of Computer Science Advancements Vol. 4 No. 2 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jsca.v4i2.3782

Abstract

The digital transformation of both e-business and e-government is increasingly dependent on the effective implementation of Enterprise Information Systems (EIS) architecture. As organizations seek to optimize their operations, enhance transparency, and improve service delivery, the need for robust EIS architectures has become critical. These architectures facilitate the integration of diverse systems, ensuring interoperability, scalability, and security. This study investigates how EIS architecture supports the digital transformation efforts in e-business and e-government, focusing on its impact on operational efficiency, data management, and stakeholder trust. A qualitative research design is employed, utilizing case studies, interviews, and document analysis from both public and private sector organizations. The findings reveal that EIS architecture significantly enhances the operational efficiency of both e-business and e-government, improving data security and reducing administrative bottlenecks. Institutions with fully integrated EIS reported improvements in service delivery, stakeholder satisfaction, and overall transparency. The research concludes that adopting modern EIS architectures is essential for successful digital transformation, particularly in sectors where data integrity and governance are paramount.
Penguatan Literasi Digital Ibu Rumah Tangga dalam Menghadapi Hoaks melalui Edukasi Bijak Bermedia Sosial Yodhi Yuniarthe; Rosyana Fitria Purnomo; Arie Setya Putra; Fatimah Fahurian
Jurnal Pengabdian Masyarakat Vol. 5 No. 1 (2026): Juni 2026
Publisher : Unity Academy

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70340/japamas.v5i1.335

Abstract

Perkembangan pesat penggunaan media sosial telah membuat masyarakat lebih rentan, terutama para ibu rumah tangga, terhadap penyebaran informasi yang tidak benar dan hoaks. Kegiatan pengabdian masyarakat ini dirancang untuk meningkatkan pemahaman digital ibu rumah tangga melalui pembelajaran tentang cara menggunakan media sosial secara bijak. Kegiatan Pengabdian ini melibatkan 25 orang dan memakai rancangan sebelum dan sesudah tes untuk mengukur keberhasilan program. Kegiatan Pengabdian ini menemukan adanya peningkatan nyata pada pemahaman peserta, di mana skor rata-rata naik 22,8 poin, dari 58,4 pada tes awal menjadi 81,2 pada tes akhir. Selain itu, persentase peserta yang termasuk kategori baik naik dari 16% menjadi 60%, yang menunjukkan keberhasilan program ini. Keberhasilan program ini didukung oleh penggunaan metode belajar yang melibatkan partisipasi, mendidik, dan mencontohkan. Peserta berpartisipasi aktif dalam percakapan, menelaah contoh hoaks asli, dan berlatih memverifikasi informasi. Pendekatan ini tidak hanya memperdalam pemahaman, tetapi juga memperbaiki cara peserta meninjau dengan kritis dan membagikan informasi secara bertanggung jawab di media sosial. Dapat disimpulkan, program ini sangat berpengaruh dalam meningkatkan pemahaman digital dan memperkuat kemampuan ibu rumah tangga untuk mengenali serta menanggapi hoaks. Upaya ini juga membantu menciptakan pertahanan masyarakat terhadap informasi keliru di masa digital.  
Implementation of Information Technology in Increasing the Efficiency and Effectiveness of MSME Business Processes Ming Pong; Teddy Oswari; Fatimah Fahurian; Triyugo Winarko
Journal of Loomingulisus ja Innovatsioon Vol. 2 No. 1 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/innovatsioon.v2i1.1978

Abstract

Micro, Small, and Medium Enterprises (MSMEs) play a vital role in driving economic growth, particularly in emerging economies. However, MSMEs often face challenges related to limited resources, outdated business processes, and inefficient operational practices. The implementation of information technology (IT) has emerged as a potential solution to improve business processes, streamline operations, and enhance competitiveness. This study aims to examine the impact of information technology implementation on the efficiency and effectiveness of business processes in MSMEs. The research seeks to identify key factors that influence the adoption of IT, as well as assess how it contributes to improving operational efficiency, decision-making, and overall business performance in MSMEs. The findings revealed that MSMEs that integrated IT solutions experienced notable improvements in process efficiency, reduced operational costs, and enhanced decision-making. Over 70% of surveyed businesses reported better inventory management and faster response times to customer needs. Moreover, businesses leveraging IT tools showed a significant increase in productivity and profitability. The implementation of information technology significantly enhances the efficiency and effectiveness of MSME business processes.
PELATIHAN PEMROGRAMAN PYTHON UNTUK MENINGKATKAN KETERAMPILAN TEKNOLOGI GURU DI ERA DIGITAL : PYTHON PROGRAMMING TRAINING TO IMPROVE TEACHER TECHNOLOGY SKILLS IN THE DIGITAL ERA Budi Hartanto; Hilda Dwi Yunita; Fatimah Fahurian; Triyugo Winarko; Iin Marliana; Yodhi Yuniarthe
Laporan Upaya Nyata Inovasi Ilmu Komputer JPKM Lunik - Vol 03, No. 01, April 2025
Publisher : FMIPA Unila

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

Abstract

Pelatihan pemrograman Python untuk meningkatkan keterampilan teknologi guru di era digital merupakan suatu upaya untuk menjawab tantangan perkembangan teknologi yang semakin pesat, khususnya dalam dunia pendidikan. Guru sebagai agen perubahan diharapkan dapat memanfaatkan teknologi untuk mendukung proses pembelajaran yang lebih efektif dan efisien. Tujuan dari pengabdian ini adalah untuk memberikan pelatihan kepada guru dalam menguasai pemrograman Python sebagai salah satu alat bantu dalam pembelajaran berbasis teknologi. Mitra dalam kegiatan ini adalah sejumlah guru dari beberapa sekolah yang memiliki latar belakang pendidikan yang beragam. Implementasi pengabdian dilakukan melalui serangkaian pelatihan praktis dengan pendekatan langsung pada penggunaan Python dalam pembelajaran. Hasil dari kegiatan ini menunjukkan adanya peningkatan pemahaman guru terhadap teknologi informasi, khususnya dalam penerapan Python untuk berbagai keperluan pengajaran, serta antusiasme yang tinggi dari peserta dalam mengikuti setiap sesi pelatihan. Kesimpulan dari kegiatan ini adalah pelatihan pemrograman Python efektif dalam meningkatkan keterampilan teknologi guru, yang dapat berkontribusi pada pembelajaran yang lebih inovatif di era digital.
PENINGKATAN LITERASI DIGITAL DAN KEAMANAN SIBER BAGI PELAKU UMKM DI BANDAR LAMPUNG MELALUI PELATIHAN BERBASIS TEKNOLOGI INFORMASI budi hartanto; Yudhinanto Cahyo Nugroho; Fatimah Fahurian; Hilda Dwi Yunita
Laporan Upaya Nyata Inovasi Ilmu Komputer JPKM Lunik - Vol 04, No. 01, April 2026
Publisher : FMIPA Unila

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/lunik.v4i01.52

Abstract

Perkembangan teknologi digital yang pesat menuntut para pelaku Usaha Mikro, Kecil, dan Menengah (UMKM) untuk memiliki kemampuan literasi digital dan kesadaran terhadap keamanan siber yang memadai. Di Kota Bandar Lampung, sebagian besar pelaku UMKM masih menghadapi tantangan dalam pemanfaatan teknologi informasi secara aman dan produktif. Kegiatan pengabdian masyarakat ini bertujuan untuk meningkatkan literasi digital dan pemahaman tentang keamanan siber melalui pelatihan berbasis teknologi informasi yang interaktif dan aplikatif. Mitra dalam kegiatan ini adalah kelompok UMKM di Kecamatan Sukarame, Bandar Lampung. Pelatihan dilakukan dengan metode workshop, pendampingan, dan simulasi langsung menggunakan perangkat digital yang dimiliki peserta. Hasil kegiatan menunjukkan peningkatan signifikan dalam kemampuan peserta memahami konsep keamanan digital, pengelolaan data, dan praktik aman dalam transaksi online. Selain itu, peserta mampu mengoptimalkan penggunaan media digital untuk promosi produk secara efektif dan aman. Kegiatan ini disimpulkan berhasil meningkatkan kesadaran dan keterampilan digital pelaku UMKM sebagai langkah menuju transformasi digital yang berkelanjutan di era ekonomi digital.
Analisis Performansi Pendekatan Machine Learning pada Deteksi Penyakit Daun Tanaman Kopi Yodhi Yuniarthe; Rosyana Fitria Purnomo; Hilda Dwi Yunita; Fatimah Fahurian; Ahmad Ikhwan
Seminar Nasional Teknologi dan Multidisiplin Ilmu (SEMNASTEKMU) Vol. 5 No. 1 (2025): SEMNASTEKMU
Publisher : Universitas Sains dan Teknologi Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/p2t2nm71

Abstract

Abstract. Detection and identification of plant diseases is critical to the success and efficiency of agricultural production. Plant disease outbreaks are becoming more frequent throughout the world, and the presence of these diseases in cultivated plants has a significant impact on productivity. Therefore, researchers are focusing on developing effective and reliable plant disease detection methods. Thus, farmers can take advantage of early detection of this disease to minimize future losses. This article discusses machine learning approaches as well as decision trees, K-nearest neighbors, naive Bayes, support vector machines (SVM), and random forests for detecting coffee leaf diseases using leaf images. The above-mentioned classifications were researched and compared to determine the most suitable plant disease prediction model with the highest accuracy. Compared with other classification algorithms, the SVM algorithm achieves the highest accuracy of 99.75%. All the models trained above will be used by farmers to quickly identify and classify new diseases in images as a prevention strategy. As a preventive measure, farmers can detect and classify new diseases in images early.   Keywords: Coffee Classification, Image Processing, Machine Learning, Plant Disease Detection.  
Pendampingan Strategi Marketing Berbasis Digital pada Kelompok Usaha Perajin Tapis dan Batik di Kabupaten Pringsewu Lampung Hilda Dwi Yunita; Fatimah Fahurian; Yodhi Yuniarthe; Triyugo Winarko; Hamdan Sukri
ABDI AKOMMEDIA : JURNAL PENGABDIAN MASYARAKAT Vol. 3 No. 4 (2025)
Publisher : ABDI AKOMMEDIA : JURNAL PENGABDIAN MASYARAKAT

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

Abstract

Pringsewu Regency is one of the regencies in Lampung Province that has a creative economy. There are many business groups there, almost all of whom sell their craft products or superior products such as bamboo weaving, tapis crafts, batik crafts, clay crafts, snack businesses, brick and tile industries. However, the marketing or sales process is still carried out conventionally, namely sales can only be done within the region due to the limited promotional or marketing area. Less than optimal marketing of a product can result in high or low income or earnings for the business group or craftsman. All of this is due to the lack of media that can be used for online marketing. To address these issues, the PKM team of the Faculty of Computer Science, Mitra Indonesia University, utilized technology to conduct mentoring and training activities on Digital-Based Marketing Strategies. Furthermore, these training and mentoring activities were conducted through several sessions, so that participants had sufficient time to understand the technology and develop skills in using innovative technology products. The results of this community service activity are expected to inspire participants on how to market products more creatively using technology media so as to increase sales access and access to higher income for micro-businesses in general and especially for micro-businesses of Tapis and Batik artisans in Pringsewu Regency, Lampung.
The Role of Information Systems in Facilitating Collaborative Learning in Higher Education Amelia Hayati; Mahon Nitin; Hilda Dwi Yunita; Fatimah Fahurian; Triyugo Winarko
Journal of Social Science Utilizing Technology Vol. 2 No. 4 (2024)
Publisher : Yayasan Adra Karima Hubbi

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.
Co-Authors Adit Kusnandar Admi Syarif Ahmad Ihkwan Ahmad ikhwan ahmad ikhwan Amelia Hayati Ananta, Regi Pramudia Arie Setya Putra Arief Rahman Wahid budi hartanto Budi Hartanto Deni Hardiannata Dirayati, Fadhilah Fathurrahman Kurniawan Ikhsan Fawaati, Teuku Muhammad Febi Andika Putra Ferry Susanto Hafiz, Aliy Hamdan Sukri Hartanto, M Budi Hartanto, M.Budi Hartantom, Budi Hilda Dwi Yunita Icha Nuari iin marliana ikhwan, Ahmad Inuz, Khozainuz Khozainuz Zuhri Kusnadi Kusnadi M. Budi Hartanto, M. Budi Mahon Nitin marliana, iin Maulidun Nur Ming Pong Nitin, Mahon Pramana, Ahmad Abilah Putra, Billy Sistian Romi Hendri Rosyana Fitria Purnomo Ryan Teo Shofi, Imam Marzuki Sri Ipnuwati Sutriana, Mrs Teddy Oswari Triyugo Winarko Triyugo Winarko, Triyugo Wati, Deva Imelda Setia Wijayanti, Mira Winarko , Triyugo Yodhi Yuniarthe Yudhinanto Cahyo Nugroho