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All Journal Community Development Journal: Jurnal Pengabdian Masyarakat Jurnal Ekonomi JURNAL REKAYASA INFORMASI SWADHARMA (JRIS) JURNAL ELEKTRO DAN INFORMATIKA SWADHARMA (JEIS) SWADIMAS: JURNAL PENGABDIAN KEPADA MASYARAKAT
Ningtyas, Septiana
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Humanities Computer Science & IT Economics, Econometrics & Finance Education Electrical & Electronics Engineering Health Professions Public Health Other

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PELATIHAN LITERASI BIG DATA DAN DATA ANALYTICS DASAR UNTUK MENINGKATKAN KEMAMPUAN ANALISIS DIGITAL BAGI SISWA SMK DI JAKARTA BARAT Usanto, Usanto; Sopian, Adi; Suhanda, Yogasetya; Sucahyo, Nur; Syahrial, Riza; Dewi, Christine Sientta; Nurlaela, Lela; Ningtyas, Septiana; Hasibuan, Tuhfatul Habibah
SWADIMAS: JURNAL PENGABDIAN KEPADA MASYARAKAT Vol 4, No 1 (2026): SWADIMAS EDISI JANUARI 2026 (ON PROGRESS)
Publisher : Institut Teknologi dan Bisnis Swadharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56486/swadimas.vol4no1.976

Abstract

This Community Service (PkM) activity aims to improve big data literacy and basic data analysis skills for Vocational High School (SMK) students in West Jakarta. This activity was motivated by students' limited understanding of big data and the digital skills gap needed in the world of work in the Industrial Revolution 4.0 era. The method used in this activity was practice-based training with an interactive approach, including the delivery of conceptual material, data processing practices using simple software, discussions, and evaluations through pre-tests, post-tests, observations, and satisfaction questionnaires. The participants were 50 students from the Computer and Network Engineering and Multimedia departments, selected based on the recommendations of their accompanying teachers. The activity results showed a significant increase in students' understanding and skills. The average pre-test score of 42.3 increased to 78.6 in the post-test, indicating an increase of 85.8%. In addition, students showed a shift in learning behavior from passive to more active, including asking questions, discussing, and practicing data processing. The satisfaction questionnaire results indicated that more than 90% of participants found the training useful and relevant to their needs. Thus, this Community Service Program (PKM) activity has proven effective in improving big data literacy and basic digital analysis skills among vocational high school students. In addition to directly improving student competency, this activity produces learning modules that mentor teachers can use as supplementary teaching materials, ensuring sustainable benefits.Kegiatan Pengabdian kepada Masyarakat (PkM) ini bertujuan untuk meningkatkan literasi big data dan keterampilan dasar analisis data bagi siswa Sekolah Menengah Kejuruan (SMK) di Jakarta Barat. Kegiatan ini dilatarbelakangi oleh rendahnya pemahaman siswa mengenai big data serta kesenjangan keterampilan digital yang dibutuhkan di dunia kerja era Revolusi Industri 4.0. Metode yang digunakan dalam kegiatan ini adalah pelatihan berbasis praktik dengan pendekatan interaktif, meliputi penyampaian materi konseptual, praktik pengolahan data menggunakan perangkat lunak sederhana, diskusi, serta evaluasi melalui pre-test, post-test, observasi, dan kuesioner kepuasan. Peserta kegiatan berjumlah 50 siswa dari jurusan Teknik Komputer dan Jaringan serta Multimedia, yang dipilih berdasarkan rekomendasi guru pendamping. Hasil kegiatan menunjukkan adanya peningkatan signifikan dalam pemahaman dan keterampilan siswa. Nilai rata-rata pre-test sebesar 42,3 meningkat menjadi 78,6 pada post-test, menandakan peningkatan sebesar 85,8%. Selain itu, siswa menunjukkan perubahan perilaku belajar dari pasif menjadi lebih aktif dalam bertanya, berdiskusi, dan melakukan praktik pengolahan data. Hasil kuesioner kepuasan mengindikasikan bahwa lebih dari 90% peserta menilai pelatihan bermanfaat dan relevan dengan kebutuhan mereka. Dengan demikian, kegiatan PkM ini terbukti efektif dalam meningkatkan literasi big data dan kemampuan analisis digital dasar siswa SMK. Selain memberikan dampak langsung terhadap peningkatan kompetensi siswa, kegiatan ini juga menghasilkan modul pembelajaran yang dapat digunakan guru pendamping sebagai bahan ajar tambahan, sehingga manfaatnya berkelanjutan.
PENGEMBANGAN APLIKASI CUSTOMER RELATIONSHIP MANAGEMENT (CRM) BERBASIS WHATSAPP BUSINESS UNTUK OPTIMALISASI PENJUALAN PADA BISNIS FASHION ONLINE Usanto, Usanto; Sopian, Adi; Syahrial, Riza; Dewi, Christine Sientta; Ningtyas, Septiana; Kurniati, Ike
JRIS : Jurnal Rekayasa Informasi Swadharma Vol 6, No 1 (2026): JURNAL JRIS EDISI JANUARI 2026
Publisher : Institut Teknologi dan Bisnis (ITB) Swadharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56486/jris.vol6no1.975

Abstract

The development of information technology has driven significant transformation in the retail trade sector, including the online fashion industry in Indonesia. The shift in consumer behavior towards online shopping requires businesses to adopt effective Customer Relationship Management (CRM) strategies to increase customer satisfaction, loyalty, and customer management efficiency. This study aims to design and implement a WhatsApp Business-based CRM application to optimize the sales system in fashion MSMEs, with a case study in the online fashion sector. The research method used is a descriptive qualitative approach, using interviews, observations, and literature reviews. The results show that manual use of WhatsApp Business creates obstacles, including delayed responses, unstructured customer records, and limited consumer behavior analysis. The developed CRM application integrates the WhatsApp Business API with a customer database and a web-based admin dashboard. Key features include contact management, transaction history recording, auto-reply, customer segmentation, and promotional broadcasts. Testing using the black-box method and user validation demonstrates that the system runs optimally, accelerates response times, improves communication efficiency, and provides real-time customer analysis.Perkembangan teknologi informasi telah mendorong transformasi signifikan pada sektor perdagangan ritel, termasuk industri fashion online di Indonesia. Pergeseran perilaku konsumen menuju belanja daring menuntut pelaku usaha untuk mengadopsi strategi Customer Relationship Management (CRM) yang efektif dalam meningkatkan kepuasan, loyalitas, serta efisiensi pengelolaan pelanggan. Penelitian ini bertujuan merancang dan mengimplementasikan aplikasi CRM berbasis WhatsApp Business guna mengoptimalkan sistem penjualan pada UMKM fashion, dengan studi kasus di Sektor fashion online. Metode penelitian yang digunakan adalah kualitatif deskriptif melalui wawancara, observasi, dan studi pustaka. Hasil penelitian menunjukkan bahwa penggunaan WhatsApp Business secara manual menimbulkan kendala berupa keterlambatan respons, pencatatan pelanggan yang tidak terstruktur, serta keterbatasan analisis perilaku konsumen. Aplikasi CRM yang dikembangkan mengintegrasikan WhatsApp Business API dengan basis data pelanggan dan dashboard admin berbasis web. Fitur utama mencakup manajemen kontak, pencatatan histori transaksi, auto-reply, segmentasi pelanggan, dan broadcast promosi. Pengujian menggunakan metode black-box dan validasi pengguna membuktikan bahwa sistem berjalan optimal, mempercepat respons, meningkatkan efisiensi komunikasi, serta menyediakan analisis pelanggan secara real-time.
Co-Authors Abda Abda Ar-Rasyid, Harun Binar Dwiyanto Pamungkas, Binar Dwiyanto Dewi, Christine Sientta Dharmalau, Andy Hasibuan, Tuhfatul Habibah Heru Winarno Hierdawati, Trie Jasiyah, Rabiyatul Khoiriyah, Khusnul Khoriyah, Khusnul Kurniati, Ike Nur Jannah Oesman Raliby Purwanto, Hadi Regina, Tannia S, Usanto Sari, Jamah Soesanto, Slamet Sopian, Adi Sucahyo, Nur Sugiyono Sugiyono Suhanda, Yogasetya Suryantoro, Hari Syahrial, Riza Usanto, Usanto