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All Journal Coding: Jurnal Komputer dan Aplikasi Proceeding SENDI_U JURNAL PETIK METHODIKA: Jurnal Teknik Informatika dan Sistem Informasi Aptisi Transactions on Management Aptisi Transactions on Technopreneurship (ATT) Jurnal Abdimas PHB : Jurnal Pengabdian Masyarakat Progresif Humanis Brainstorming Jurnal Inti Talafa : Jurnal Teknik Informatika JSR : Jaringan Sistem Informasi Robotik JATI (Jurnal Mahasiswa Teknik Informatika) JTIK (Jurnal Teknik Informatika Kaputama) Journal Cerita: Creative Education of Research in Information Technology and Artificial Informatics JIKA (Jurnal Informatika) Jurnal Digit : Digital of Information Technology Yumary: Jurnal Pengabdian kepada Masyarakat IAIC Transactions on Sustainable Digital Innovation (ITSDI) Media Jurnal Informatika Jurnal Masyarakat Indonesia Journal of Community Empowerment and Innovation Journal of Artificial Intelligence and Digital Business Jurnal Manajemen Sistem Informasi Jurnal Witana Jurnal Grafis Darma Abdi Karya: Jurnal Pengabdian Kepada Masyarakat
Lena Magdalena, Lena
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Arts Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Library & Information Science Materials Science & Nanotechnology Mechanical Engineering Public Health Social Sciences Other

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PENDAMPINGAN PENGEMBANGAN USAHA UMKM BARU DI KOTA CIREBON DENGAN EKOSISTEM MODEL BISNIS CANVAS Magdalena, Lena; Hatta, Muhammad; Febima, Mesi
Jurnal Pemberdayaan Masyarakat dan Inovasi Vol 4 No 1 (2025)
Publisher : STKIP PGRI SITUBONDO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47668/join.v4i1.1587

Abstract

The intense competition in the business world presents various challenges that can threaten economic stability, making it essential for entrepreneurs to develop effective strategies to run their businesses. This community service program is designed using a participatory approach based on adult-learning processes, focusing on the introduction and implementation of the Business Model Canvas (BMC). The activity is organized by Catur Insan Cendekia University (CIC) in collaboration with the Department of Cooperatives, Micro, Small, and Trade Enterprises (DKUMPP) of Cirebon City, involving 100 fostered MSMEs. The implementation method includes several stages: (1) delivering material using PowerPoint presentations and simulations related to the BMC concept, (2) interactive discussions, (3) training on drafting BMC for new MSMEs to address the challenges of the new normal era, and (4) evaluating the program's impact on MSME participants in the region. Entrepreneurs are provided with insights on how to run their businesses using the nine key elements of BMC, which include value proposition, customer segments, channels, customer relationships, key resources, key activities, key partnerships, revenue streams, and cost structures. The expected outcomes of this program are: (1) scientific publications in international community service journals, (2) activity publication in print or online media, (3) signing of a Cooperation Agreement (SPK) with partners, and (4) development of a BMC document to support new MSME ventures.
PENERAPAN METODE ROCCA DALAM RANCANG BANGUN PRIVATE CLOUD STORAGE DI PT. CIPTA INOVASI TEKNOLOGI Trivena, Stephani; Hatta, Muhammad; Fahrudin, Rifqi; Magdalena, Lena; Asfi, Marsani; Febima, Mesi; Christina, Stefanny
Jurnal Digit : Digital of Information Technology Vol 14, No 2 (2024)
Publisher : Universitas Catur Insan Cendekia (CIC) Cirebon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51920/jd.v14i2.414

Abstract

Cloud Computing menawarkan potensi besar dalam meningkatkan efisiensi bisnis. Namun, PT. Cipta Inovasi Teknologi, sebagai pengguna Nextcloud, masih menghadapi tantangan dalam pengelolaan data, seperti pencampuran data dengan perusahaan induk dan kendala integrasi antar divisi. Penelitian ini bertujuan mengatasi permasalahan tersebut dengan merancang dan membangun private cloud storage menggunakan metode Roadmap for Cloud Computing Adoption (ROCCA). ROCCA dipilih karena menyediakan panduan komprehensif dalam adopsi cloud computing, mulai dari analisis kebutuhan hingga pengelolaan data. Hasil penelitian menunjukkan bahwa prototipe private cloud storage yang dikembangkan berhasil meningkatkan efisiensi operasional secara signifikan dan mempercepat proses integrasi data antar divisi, selain itu solusi ini juga meningkatkan keamanan data perusahaan. Penerapan metode ROCCA terbukti efektif dalam meminimalkan risiko dan mengoptimalkan pemanfaatan sumber daya. Meskipun penelitian ini fokus pada PT. Cipta Inovasi Teknologi, hasil yang diperoleh dapat menjadi referensi bagi perusahaan lain yang ingin mengadopsi cloud computing secara mandiri. Kata kunci: Cloud Computing, ROCCA, Nextcloud, Integrasi Data, Keamanan Data
Penerapan Naïve Bayes Classifier Untuk Klasifikasi Postingan Berita Hoaks Di Instagram Cirebon Saber Hoaks Nur'Faradila, Dellatia Ayu; Magdalena, Lena; Febima, Mesi
Media Jurnal Informatika Vol 16, No 2 (2024): Media Jurnal Informatika
Publisher : Teknik Informatika Universitas Suryakancana Cianjur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35194/mji.v16i2.4616

Abstract

Berita hoaks telah menjadi ancaman serius di era digital, di mana informasi yang salah atau menyesatkan dapat menyebar dengan cepat melalui media sosial, termasuk di platform seperti instagram. @cirebonsaberhoaks adalah akun instagram untuk menyebarkan informasi yang akurat dan terpercaya untuk melawan penyebaran berita hoaks di Kota Cirebon. Proses klasifikasi kategori berita hoaks masih dilakukan secara manual, oleh karena itu diperlukan penerapan Text mining dengan metode Naïve Bayes Classifier untuk meningkatkan efisiensi. Naïve Bayes Classifier adalah metode yang mengaplikasikan Teorema Bayes pada proses klasifikasi seperti klasifikasi teks. Proses penelitian ini meliputi pengumpulan dataset, tahapan text preprocessing, perhitungan TF-IDF, dan penerapan Naïve Bayes Classifier. Jumlah berita hoaks yang digunakan berjumlah 114 berita hoaks yang dikategorikan menjadi 4 kategori yaitu Misleading Content, Imposter Content, Fabricated Content, False Connection. Hasil klasifikasi data testing 14 data, kategori prediksi paling banyak yaitu Imposter Content. Dengan rincian 8 kategori Imposter Content, 3 kategori Misleading Content, 2 kategori Fabricated Content, dan 1 kategori False Connection. Hasil ini menunjukan bahwa klasifikasi postingan berita hoaks berdasarkan kategori yang diklasifikasikan terdapat 13 data yang benar dan 1 data yang salah dalam proses klasifikasi. Hasil evaluasi Confusion Matrix menunjukkan nilai akurasi sebesar 93%, presisi 94%, recall 93%, dan f1-score 92%. [DSS1] 
Penerapan Algoritma C4.5 Untuk Rekomendasi Bantuan Dana Orang Terlantar dalam Perjalanan (OTDP) di Dinas Sosial Kota Cirebon Magdalena, Lena; Oktaviani, Priti; Septiani, Willy Eka
Journal Cerita: Creative Education of Research in Information Technology and Artificial Informatics Vol 10 No 1 (2024): Journal CERITA : Creative Education of Research in Information Technology and Ar
Publisher : UNIVERSITAS RAHARJA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/cerita.v10i1.2923

Abstract

The C4.5 algorithm is a machine learning method based on decision trees, which has the ability to predict categories based on attributes present in the data. This research aims to address issues by implementing the C4.5 algorithm in forming a recommendation system for providing financial assistance to Homeless People during Travel (OTDP) in the Social Service of Cirebon City. This research process involves three main stages. First, data collection is carried out regarding OTDP who have received financial assistance previously, as well as related attributes such as age, address, travel purpose, and occupation. The second stage involves data processing to clean and reorganize the dataset to fit the C4.5 Algorithm format. Finally, it is applied to form a prediction that will provide recommendations for financial assistance to OTDP. OTDP is a vulnerable group that often requires social assistance from the government. In Cirebon City, the Social Service is responsible for providing financial assistance to support their travel. However, determining the right recipients for assistance is a challenge because the number of OTDP in need of assistance can vary over time. Therefore, it is hoped that the results of this research will provide a more efficient and accurate recommendation system in determining financial assistance recipients for OTDP, with a focus on the "Short Distance" category with a grant amount of "Rp120,000" and "Long Distance" with a grant amount of "Rp150,000". With this recommendation system, it is expected that the Social Service of Cirebon City can become more responsive in providing assistance to OTDP groups in need.
Utilizing the Shopee Marketplace Platform to Oprimize MSMEs Business Strategies in the International Digital Economy Febima, Mesi; Asfi, Marsani; Lukita, Chandra; Magdalena, Lena; Hatta, Muhammad; Fahrudin, Rifqi; Chritviona Parera, Shalom; Winurcahyono, Alexander; Anggara Putra, Dwi Pasha; Nakeisha Wahyudi, Nayla; Mita, Shella
Jurnal Masyarakat Indonesia (Jumas) Vol. 4 No. 01 (2025): Jurnal Masyarakat Indonesia (Jumas)
Publisher : Cattleya Darmaya Fortuna

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/jumas.v4i01.183

Abstract

This International Community Service activity is a collaboration between Catur Insan Cendekia University (UCIC) Cirebon, UNIKOM Bandung, the Department of Cooperatives, Small, Medium Enterprises, Trade and Industry (DKUKMPP) Cirebon City, and the African Institute for Multidisciplinary Studies (AIMS) Somalia, with the title 'Utilizing the Shopee Marketplace Platform to Oprimize MSMEs Business Strategies in the International Digital Economy'. This International Community Service activity aims to empower Micro, Small and Medium Enterprises (MSMEs) in optimizing business strategies in the era of the global digital economy through the use of the Shopee Marketplace platform. This activity includes a series of training and assistance for MSME players in understanding Shopee Marketplace features, branding optimization, inventory management, and data-based sales performance analysis. Apart from that, export strategies were provided using Shopee to reach international markets. In implementation, a hybrid approach was used, involving online sessions for participants from Somalia and offline sessions for participants in Cirebon City. The results of this activity showed a significant increase in participants' understanding regarding the use of digital platforms to increase product visibility and competitiveness in the global market. This activity makes a real contribution to empowering MSMEs in facing the challenges of globalization in the digital economy. This international collaboration is a relevant model in developing cross-institutional synergy to support MSMEs in a sustainable manner, especially in the midst of continuously developing digital transformation.
PENERAPAN METODE INDEX FIELD DALAM SISTEM PENGARSIPAN BERKAS LEGAL BERBASIS WEB Jati Kusuma, Fathurrochman; Sokibi, Petrus; Magdalena, Lena
JATI (Jurnal Mahasiswa Teknik Informatika) Vol. 9 No. 2 (2025): JATI Vol. 9 No. 2
Publisher : Institut Teknologi Nasional Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/jati.v9i2.12877

Abstract

Dalam era digitalisasi, pengelolaan arsip legal yang efisien menjadi kebutuhan penting bagi perusahaan untuk mendukung operasional yang efektif dan terorganisir. Penelitian ini berfokus pada pengembangan Sistem Pengarsipan Berkas Legal Berbasis Web di PT. Purimega Saranaland, yang saat ini masih menggunakan metode manual dengan berbagai kelemahan, seperti kesulitan pencarian dokumen dan risiko kehilangan data. Tujuan utama penelitian adalah merancang dan mengimplementasikan sistem berbasis web menggunakan metode index field untuk mendata, mengorganisasi, dan mempercepat pencarian dokumen legal. Metode penelitian melibatkan observasi, wawancara, studi literatur, serta pengembangan perangkat lunak menggunakan pendekatan Web Engineering. Hasil pengujian menunjukkan bahwa sistem yang dikembangkan telah memenuhi kebutuhan fungsional perusahaan, meningkatkan efisiensi pengelolaan arsip, serta menyediakan solusi aman dan terstruktur untuk mendukung operasional perusahaan. Sistem ini dinilai layak untuk diimplementasikan guna mendukung digitalisasi di PT. Purimega Saranaland.
Social Media as a Tool for Transforming Childhood Learning Mechanisms in Edupreneurship Watini, Sri; Magdalena, Lena; Wirjawan, Tri Wahyu; Gunawan, ⁠Ahmad; Julianingsih, Dwi; Ivanov, Nikita
Aptisi Transactions On Technopreneurship (ATT) Vol 7 No 1 (2025): March
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/att.v7i1.475

Abstract

This paper delves into the intricate relationship between social media and childhood learning mechanisms for children. Despite the growing body of research on learners acceptance of e-learning systems via childhood program platforms, a considerable gap remains in understanding the determinants that shape the acceptance of e-learning facilitated through social media applications. Addressing this gap, our study undertakes an exploration of the impact of social media practices, specifically knowledge sharing, social media features, motivation, and uses, on children embrace of e-learning systems. To accomplish this, we extend the well-established Technology Acceptance Model (TAM) to incorporate these determinants. A comprehensive survey was conducted involving 355 children. These students participated through questionnaire surveys, providing essential empirical data. Employing the robust SmartPLS technique, meticulously analyzed the extended model. The results of empirical data analysis demonstrate that social media practices exert a significant and positive influence on Perceived Usefulness (PU) and Perceived Ease of Use (PEOU) related to Childhood Learning Mechanisms. Crucially, our findings underscore the pivotal role of both PU and PEOU in influencing the acceptance of e-learning systems. In essence, this paper not only sheds light on the transformative potential of social media practices in shaping the acceptance of e-learning systems but also contributes to the existing discourse by deepening our understanding of the interplay between social media, TAM determinants, and e-learning acceptance in childhood programs.
PENERAPAN METODE GOAL DIRECT DESIGN PADA PERANCANGAN UI/UX WEBSITE DESA (STUDI KASUS: KANTOR DESA KEPONGPONGAN) Sahputra, Illal Dwi; Asfi, Marsani; Febima, Mesi; Magdalena, Lena; Hatta, Muhammad; Fahrudin, Rifqi; Christina, Stefanny; Solihin, Unang
Jurnal Digit : Digital of Information Technology Vol 15, No 1 (2025)
Publisher : Universitas Catur Insan Cendekia (CIC) Cirebon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51920/jd.v15i1.424

Abstract

Website desa memiliki peran penting dalam menyediakan informasi dan layanan digital bagi masyarakat, namun masih banyak yang belum optimal dalam hal kegunaan, keterlibatan pengguna, dan kepuasan. Permasalahan utama adalah kurangnya keselarasan antara kebutuhan pengguna dengan desain yang ada, sehingga tingkat interaksi dan partisipasi warga rendah. Metode Goal Directed Design dipilih karena fokusnya pada pengidentifikasian kebutuhan dan tujuan pengguna, yang kemudian diterapkan dalam desain. Proses ini dimulai dengan pengumpulan data kualitatif melalui field study atau wawancara, dilanjutkan dengan pendefinisian user model, dan kebutuhan pengguna serta teknis desain melalui konteks skenario. Kemudian, konsep desain dibuat dalam bentuk wireframe, diikuti oleh visualisasi desain website. Tahap akhir adalah evaluasi untuk memastikan desain memenuhi kebutuhan pengguna. Hasilnya adalah prototipe website Desa Kepongpongan yang sesuai dengan kebutuhan pengguna, mudah digunakan, dan mampu meningkatkan keterlibatan serta partisipasi warga. Evaluasi akhir menggunakan USER EXPERIENCE QUISIONNAIRE (UEQ) menunjukkan bahwa pendekatan Goal Directed Design berhasil menciptakan desain UI/UX yang lebih efektif dan efisien, dengan skor keseluruhan 1,69 ("Good"), kualitas hedonis 1,62 ("Excellent"), dan kualitas pragmatis 1,66 ("Excellent"). Kata kunci: : Goal Directed Design,Website,User Experience Quisionaire,UI/UX
MODEL PENGUKURAN KINERJA RANTAI PASOK BERBASIS GREEN SCOR DAN FUZZY AHP: STUDI KASUS PT. ARTERIA DAYA MULIA Nurpatimah, Suci; Magdalena, Lena; Febima, Mesi
METHODIKA: Jurnal Teknik Informatika dan Sistem Informasi Vol. 11 No. 2 (2025): Volume 11 Nomor 2 Tahun 2025
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/mtk.v11i2.4510

Abstract

Supply chain performance measurement plays a crucial role in supporting operational continuity and corporate competitiveness, especially in meeting the demands for efficiency, effectiveness, and environmental sustainability. Imbalances in supply chain management can lead to resource waste, environmental pollution, and decreased customer satisfaction. PT. Arteria Daya Mulia, a rope manufacturing company, currently lacks a supply chain performance measurement system that fully incorporates sustainability aspects. This study aims to design a performance measurement model based on the Green SCOR framework and the Fuzzy AHP method as a strategic decision-making tool that considers sustainability dimensions. Performance indicators were determined according to the five main Green SCOR processes (Plan, Source, Make, Deliver, and Return), comprising 14 KPIs developed through literature review and field validation. Data were collected through observations, interviews, and questionnaires, then processed using the Fuzzy AHP method to obtain the priority weight of each indicator. The results show that the total supply chain performance score is 88, calculated by combining the weights with the Snorm de Boer values. Several indicators demonstrated excellent performance with a maximum Snorm value (100). However, one critical indicator was identified with the lowest Snorm value—% Error-free Return Shipped in the Return process—scoring 0.02 with a final SCM score of 0.0008, indicating the need for immediate improvement. The developed information system also generates automatic improvement recommendations based on the measurement results. This model is expected to assist the company in monitoring, evaluating, and continuously improving supply chain performance.
Analisis Sentimen Aplikasi Deepseek Menggunakan Metode Naive Bayes dan Support Vector Machine Baihaqi, Muhammad Faqih; Magdalena, Lena; Fahrudin, Rifki
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 4 No. 3 (2025): Agustus - October
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v4i3.2511

Abstract

Penelitian ini membandingkan metode Naive Bayes dan Support Vector Machine (SVM) dalam klasifikasi sentimen ulasan aplikasi DeepSeek Assistant AI, yang berhasil menembus 10 besar aplikasi gratis di Google Play Store di 18 negara dalam 16 hari. Analisis dilakukan pada 2400 ulasan dari Januari hingga Juli 2025 dengan proporsi 68% ulasan positif dan 32% negatif. Evaluasi model menggunakan confusion matrix menunjukkan bahwa SVM unggul dalam akurasi (90,1% vs 75,7%), F1-Score (92,7% vs 84,6%), dan presisi (93% vs 74%), sementara Naive Bayes unggul pada recall (99% vs 93%). Perbandingan juga mencakup kinerja model, Area Under Curve, rasio dataset, dan kecepatan klasifikasi. Hasil penelitian menunjukkan bahwa SVM lebih unggul dalam tiga dari empat aspek yang dianalisis, sementara Naive Bayes hanya unggul pada kecepatan klasifikasi. Penelitian ini juga menyediakan visualisasi data dalam sebuah website yang menampilkan hasil analisis sentimen dan perbandingan performa kedua metode. Temuan ini memberikan wawasan penting dalam pemilihan metode yang paling efektif untuk analisis sentimen aplikasi berbasis AI, serta dapat digunakan sebagai referensi bagi pengembang aplikasi yang ingin mengoptimalkan pemahaman terhadap ulasan pengguna.
Co-Authors Agus Sevtiana Ahmad Gunawan Akbari, Safitri Ali Reza Immamifar, Muhammad Ananda, Fikri Anggara Putra, Dwi Pasha Aulia, Siti Nur Baihaqi, Muhammad Faqih Christina, Stefanny Chritviona Parera, Shalom Daphne, Gabrielle Apta Eustacia Fahrudin, Rifki Fahrudin, Rifqi Fajriannoor Fanani, Fajriannoor Febima, Mesi Gitama, Gytha Nurhana Dhea Praadha Habib Bahtiar, Usman Ika Kartika Ilyasa, Reza Ivanov, Nikita Jati Kusuma, Fathurrochman Jayawarsa, A.A. Ketut Julianingsih, Dwi Kanivia, Aan Kartika, Viar Dwi Kitriawati, Kitriawati Kurniawan, Satria Wahyu Kusnadi Leni Agustin, Leni Lia Dahlia, Lia Loka, Diah Pita Mansyur, Asep Abdul Maratis, Jerry Marsani Asfi Mehta, Silpha Melly Amalia Mita, Shella Muhammad Hatta Muhammad Hatta Muhammad Kahfi, Muhammad Mulyasari, Hany Mulyasari, Hany Nakeisha Wahyudi, Nayla Nas, Chairun Nur'Faradila, Dellatia Ayu Nurhajijah, Sitta Nurpatimah, Suci Nurrohmah Nurrohmah, Nurrohmah Oktaviani, Adelia Oktaviani, Priti Parameswari Pramuwardhani, Andita Sri Parman, Suhadi Petrus Sokibi, Petrus Putri, Tiara Eka Rahadi, Dwi Meldiansyah Rahmanhadi, Dimas Ramadhan, Abdan Syakur Ramirez, Santiago Renaldi, Refan Rifqi Khosyi, Muhammad Sahputra, Illal Dwi Saiful Hadi, Muhammad Septiani, Willy Eka Solihah, Yuni Awalaturrohmah Sri Watini Susanto, Ivan Suwandi Suwandi Tiomas Simorangkir, Naomi Tri Wahyu Wirjawan Trivena, Stephani Turini, Turini Umar Fakhrudin, Mohammad Unang Solihin Valentino, Fernando Wicaksono, Freddy Wijaya, Cintya Fransisca Wijaya, Samuel Winurcahyono, Alexander