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All Journal Sinkron : Jurnal dan Penelitian Teknik Informatika Journal of Humanities and Social Studies Syntax Idea Journal of Applied Science, Engineering, Technology, and Education JURNAL REKAYASA INFORMASI SWADHARMA (JRIS) JURNAL ELEKTRO DAN INFORMATIKA SWADHARMA (JEIS) SWADIMAS: JURNAL PENGABDIAN KEPADA MASYARAKAT
Sopian, Adi
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INTEGRASI IOT DAN BIG DATA UNTUK OPTIMASI LOGISTIK DAN RANTAI PASOKAN S, Usanto; Sopian, Adi; Sucahyo, Nur; Syahrial, Riza; Hiswara, Indra
JRIS : Jurnal Rekayasa Informasi Swadharma Vol 4, No 2 (2024): JURNAL JRIS EDISI JULI 2024
Publisher : Institut Teknologi dan Bisnis (ITB) Swadharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56486/jris.vol4no2.615

Abstract

The development of information and communication technology has brought significant changes to various sectors, including logistics and the supply chain. The Internet of Things (IoT) and Big Data are two key technologies that have attracted the attention of many researchers and practitioners due to their potential to enhance efficiency, accuracy, and transparency in logistics processes and supply chain management. This study explores the integration of IoT and big data for optimizing logistics and supply chains, as well as identifying related benefits and challenges. The research methodology used is a mixed-methods approach combining qualitative and quantitative methods. Data were collected through literature reviews, interviews, questionnaires, and field observations. The results show that the integration of IoT and big data can improve operational efficiency, demand forecasting accuracy, route optimization, risk management, and customer satisfaction. Real-time tracking with IoT devices reduces the risk of lost goods by up to 30%, while process automation reduces the need for human intervention and increases operational efficiency by 25%. Big Data analysis helps in more accurate demand forecasting with a 15% improvement in accuracy, and route optimization reduces average delivery time by 10% and fuel consumption by 15%. Predictive maintenance with IoT data reduces vehicle downtime by up to 20%, and risk analytics reduce risk incidents by 18%. Although there are challenges regarding data security, device interoperability, and effective data management, solutions such as data encryption, the development of universal industry standards, and the use of cloud computing technology can address these issues. This study concludes that the integration of IoT and big data has great potential to enhance the efficiency and effectiveness of logistics and supply chains, making a significant contribution to this industry in Indonesia..Perkembangan teknologi informasi dan komunikasi telah membawa perubahan signifikan dalam berbagai sektor, termasuk logistik dan rantai pasokan. Internet of Things (IoT) dan Big Data merupakan dua teknologi utama yang menarik perhatian banyak peneliti dan praktisi karena potensinya untuk meningkatkan efisiensi, akurasi, dan transparansi dalam proses logistik dan manajemen rantai pasokan. Penelitian ini mengeksplorasi integrasi IoT dan Big Data untuk optimasi logistik dan rantai pasokan, serta mengidentifikasi manfaat dan tantangan yang terkait. Metode penelitian yang digunakan adalah pendekatan metodologi campuran yang menggabungkan metode kualitatif dan kuantitatif. Data dikumpulkan melalui studi literatur, wawancara, kuesioner, dan observasi di lapangan. Hasil penelitian menunjukkan bahwa integrasi IoT dan Big Data dapat meningkatkan efisiensi operasional, akurasi peramalan permintaan, optimasi rute pengiriman, manajemen risiko, dan kepuasan pelanggan. Pelacakan real-time dengan perangkat IoT mengurangi risiko kehilangan barang hingga 30%, sementara otomatisasi proses mengurangi kebutuhan intervensi manusia dan meningkatkan efisiensi operasional sebesar 25%. Analisis Big Data membantu peramalan permintaan yang lebih akurat dengan peningkatan akurasi sebesar 15%, serta optimasi rute pengiriman yang mengurangi waktu pengiriman rata-rata sebesar 10% dan konsumsi bahan bakar sebesar 15%. Pemeliharaan prediktif dengan data IoT mengurangi waktu henti kendaraan hingga 20%, dan analitik risiko mengurangi insiden risiko hingga 18%. Meskipun terdapat tantangan dalam hal keamanan data, interoperabilitas perangkat, dan manajemen data yang efektif, solusi seperti enkripsi data, pengembangan standar industri, dan penggunaan teknologi cloud computing dapat mengatasi masalah ini. Penelitian ini menyimpulkan bahwa integrasi IoT dan Big Data memiliki potensi besar untuk meningkatkan efisiensi dan efektivitas logistik dan rantai pasokan, serta memberikan kontribusi signifikan bagi industri ini di Indonesia.
LITERASI DIGITAL BAGI KARANG TARUNA RW 08 GELAM JAYA UNTUK MENDUKUNG PEMBERDAYAAN EKONOMI LOKAL Usanto, Usanto; Sopian, Adi; Sucahyo, Nur; Suhanda, Yogasetya; Dewi, Christine Sientta; Syahrial, Riza; Nasri, Jelman; Taufiqqurahman, Taufiqqurahman; Broto, Satrio; Larsen, John
SWADIMAS: JURNAL PENGABDIAN KEPADA MASYARAKAT Vol 3, No 1 (2025): SWADIMAS EDISI JANUARI 2025
Publisher : Institut Teknologi dan Bisnis Swadharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56486/swadimas.vol3no1.675

Abstract

This Community Service (PkM) activity is conducted to develop digital literacy among the Karang Taruna RW 08, Gelam Jaya Village, Pasar Kemis. Digital literacy is very important in the digital era, especially for the younger generation, so they not only become users of technology but also creators who can utilize technology productively to support the local economy. This activity uses the Community Based Participatory method with the following stages: (1) initial observation and needs mapping to understand the participants' digital literacy conditions and the local economic potential that can be developed, (2) digital literacy training and workshops covering technical skills in using social media, e-commerce, and entrepreneurial mindset, and (3) mentoring and monitoring stages to ensure the implementation of the taught skills. The activity results show a significant increase in the participants' understanding and skills in digital literacy. After the training, 80% of the participants were able to create creative and effective promotional content, use business features on social media, and understand basic strategies in digital marketing. This program also contributes to the local economy with a 15-20% increase in product sales within one month. This PkM activity has successfully bridged the participants' digital skills gap. It has positively impacted the local economic potential through the creative and productive use of digital technology.Kegiatan Pengabdian kepada Masyarakat (PkM) ini dilaksanakan untuk mengembangkan literasi digital di kalangan remaja Karang Taruna RW 08, Kelurahan Gelam Jaya, Pasar Kemis. Literasi digital sangat penting di era digital, terutama untuk generasi muda, agar mereka tidak hanya menjadi pengguna teknologi tetapi juga kreator yang dapat memanfaatkan teknologi secara produktif dalam mendukung ekonomi lokal. Kegiatan ini menggunakan metode Community Based Participatory dengan tahapan: (1) observasi awal dan pemetaan kebutuhan untuk memahami kondisi literasi digital peserta serta potensi ekonomi lokal yang bisa dikembangkan, (2) pelatihan dan workshop literasi digital yang mencakup keterampilan teknis penggunaan media sosial, e-commerce, dan pola pikir kewirausahaan, dan (3) tahap pendampingan dan monitoring untuk memastikan implementasi keterampilan yang diajarkan. Hasil kegiatan menunjukkan adanya peningkatan signifikan dalam pemahaman dan keterampilan literasi digital para peserta. Setelah pelatihan, 80% peserta mampu membuat konten promosi yang kreatif dan efektif, menggunakan fitur bisnis di media sosial, serta memahami strategi dasar dalam pemasaran digital. Program ini juga berkontribusi pada peningkatan ekonomi lokal dengan kenaikan penjualan produk sebesar 15-20% dalam satu bulan. Kegiatan PkM ini telah berhasil menjembatani kesenjangan keterampilan digital peserta dan memberikan dampak positif dalam meningkatkan potensi ekonomi lokal melalui pemanfaatan teknologi digital secara kreatif dan produktif.
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 Artini, Ni Made Darwanti, Dhenok Dewi, Christine Sientta Dharmalau, Andy Efendy, Abdul Aziz Eko Prasetyo Fatkhullah, Faiz Karim Hasibuan, Tuhfatul Habibah Hiswara, Indra Karlina, Haura Kurniati, Ike Larsen, John Lindawati Lindawati Nasri, Jelman Ningtyas, Septiana Ristasari Dwi Septiana Rochendi, Teddy S, Usanto Saefurridjal, Achmad Sari, Jamah Satrio Broto, Satrio Sauri, R Supyan Sucahyo, Nur Suhanda, Yogasetya Syahrial, Riza Tatyana, Tatyana Taufiqqurahman, Taufiqqurahman Usanto S, Usanto S Usanto, Usanto Warta, Waska