Article Per Year (5 Year)
p-Index From 2021 - 2026
0.947
P-Index
This Author published in this journals
All Journal JURNAL REKAYASA INFORMASI SWADHARMA (JRIS) JURNAL ELEKTRO DAN INFORMATIKA SWADHARMA (JEIS) SWADIMAS: JURNAL PENGABDIAN KEPADA MASYARAKAT
Adi Sopian
Institut Teknologi dan Bisnis Swadharma
Computer Science & IT Economics, Econometrics & Finance Electrical & Electronics Engineering Other

Published : 5 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 5 Documents
Search

 1 
PEMANFAATAN TEKNIK WEB SCRAPING PYTHON UNTUK SISTEM PENCARIAN PRODUK DI TOKO ONLINE Adi Sopian; Andy Dharmalau; Alpindo Alpindo
JEIS: Jurnal Elektro dan Informatika Swadharma Vol 2, No 2 (2022): JEIS EDISI JULI 2022
Publisher : Institut Teknologi dan Bisnis Swadharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56486/jeis.vol2no2.169

Abstract

Sales and purchase transactions utilizing electronic systems with the internet through computer networks has grown rapidly. Buying goods in online stores sometimes the items you are looking for are not what you want, especially in price and item details, it can even happen that the item you are looking for is not found. In searching for goods using search engines such as google, yahoo, it will generate information on goods in the form of a list of website addresses. So that the information obtained is not as desired, people have to visit the online shop address one by one, causing people to waste a lot of time. The results of the research on the product search system using web scraping techniques to several e-commerce, namely tokopedia, shopee, elevania and blibli, have succeeded in obtaining data in the form of product names, number of stock items, url, rating and product images. So that people can easily find the desired item along with the data
PENGEMBANGAN APLIKASI CUSTOMER RELATIONSHIP MANAGEMENT (CRM) BERBASIS WHATSAPP BUSINESS UNTUK OPTIMALISASI PENJUALAN PADA BISNIS FASHION ONLINE Usanto Usanto; Adi Sopian; Riza Syahrial; Christine Sientta Dewi; Septiana Ningtyas; Ike Kurniati
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.
PELATIHAN LITERASI BIG DATA DAN DATA ANALYTICS DASAR UNTUK MENINGKATKAN KEMAMPUAN ANALISIS DIGITAL BAGI SISWA SMK DI JAKARTA BARAT Usanto Usanto; Adi Sopian; Yogasetya Suhanda; Nur Sucahyo; Riza Syahrial; Christine Sientta Dewi; Lela Nurlaela; Septiana Ningtyas; Tuhfatul Habibah Hasibuan
SWADIMAS: JURNAL PENGABDIAN KEPADA MASYARAKAT Vol 4, No 1 (2026): SWADIMAS EDISI JANUARI 2026
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 SISTEM MANAJEMEN HUBUNGAN PELANGGAN UNTUK PENANGANAN KELUHAN DENGAN METODE WATERFALL BERBASIS WEB PADA PT. LEXXA SHOES Harun Ar-Rasyid; Adi Sopian; Dartono Dartono; Jamah Sari; Leli Putriani Gulo
JRIS : Jurnal Rekayasa Informasi Swadharma Vol 6, No 2 (2026): JURNAL JRIS EDISI JULI 2026
Publisher : Institut Teknologi dan Bisnis (ITB) Swadharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56486/jris.vol6no2.1021

Abstract

Ease of information exchange influences consumer behaviour toward a product or service. Customer Relationship Management (CRM) is a vital part of a customer satisfaction-oriented business strategy; a quick and accurate response to complaints can determine customer loyalty. The objective of this research was to develop a web-based Customer Relationship Management system. The research and development method used was the Waterfall system development methodology. The research resulted in a web-based application for handling and following up on consumer complaints. The testing results showed the system performed well as planned. Management was able to monitor all incoming complaints and their responses accurately. Further system development could include additional functionality to track trends in customer issues.Kemudahan dalam pertukaran informasi mempengaruhi perilaku konsumen terhadap sebuah produk atau layanan. Customer Relationship Management (CRM) menjadi bagian vital dalam strategi bisnis berorientasi pada kepuasan pelanggan, respon cepat dan tepat terhadap keluhan dapat menentukan loyalitas pelanggan. Tujuan penelitian untuk mengembangkan sistem Customer Relationship Management berbasis web. Metode yang digunakan metode penelitian dan pengembangan (Research and Development) dengan metode pengembangan sistem Waterfall. Hasil penelitian berupa aplikasi berbasis web untuk penanganan keluhan konsumen dan tindak lanjutnya. Hasil pengujian menunjukan sistem berjalan dengan baik sesuai dengan rencana. Pimpinan dapat memonitor dengan baik semua keluhan yang masuk secara akurat dan respon penangannya. Pengembangan sistem selanjutnya bisa ditambahkan fungsi agar dapat ditelusuri tren dari permasalahan yang terjadi pada konsumen
PELATIHAN OPTIMALISASI DIRI DENGAN TEKNOLOGI KECERDASAN BUATAN UNTUK MENINGKATKAN PRODUKTIVITAS, MANAJEMEN WAKTU, DAN MOTIVASI MENUJU DUNIA KERJA Usanto S Usanto S; Adi Sopian; Yogasetya Suhanda; Riza Syahrial; Christine Sientta Dewi; Jamah Sari; Lela Nurlaela
SWADIMAS: JURNAL PENGABDIAN KEPADA MASYARAKAT Vol 3, No 2 (2025): SWADIMAS EDISI JULI 2025
Publisher : Institut Teknologi dan Bisnis Swadharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56486/swadimas.vol3no2.858

Abstract

The development of Artificial Intelligence (AI) technology has brought significant changes to various aspects of life, including the world of education and job preparation for Vocational High School (SMK) students. However, many vocational high school students still face challenges in time management, learning motivation, and effectively utilising technology. This activity aims to enhance vocational high school students' skills through training in time management, self-motivation, and the application of AI technology, thereby increasing productivity and readiness for the workforce. The method used is a participatory-educational approach, involving 80 students in grades XI and XII from the Computer and Network Engineering, Accounting, and Online Business and Marketing departments at SMK Kartika X West Jakarta. The training was conducted over one week, offline, with interactive sessions, group discussions, hands-on practice, and reflection. The material covered an introduction to AI, time management strategies, techniques for maintaining motivation, and the application of AI for enhancing learning and productivity. The training results demonstrated significant improvements in students' time management skills, learning motivation, and proficiency in AI technology. Participants became more adept at managing time effectively, maintaining learning motivation, and utilising AI applications to support learning activities and job preparation.Perkembangan teknologi kecerdasan buatan (Artificial Intelligence/AI) telah membawa perubahan signifikan dalam berbagai aspek kehidupan, termasuk dunia pendidikan dan persiapan kerja siswa Sekolah Menengah Kejuruan (SMK). Namun, banyak siswa SMK masih menghadapi tantangan dalam manajemen waktu, motivasi belajar, dan pemanfaatan teknologi secara optimal. Kegiatan ini bertujuan mengoptimalkan diri siswa SMK melalui pelatihan pengelolaan waktu, motivasi diri, dan pemanfaatan teknologi AI untuk meningkatkan produktivitas dan kesiapan menghadapi dunia kerja. Metode yang digunakan adalah pendekatan partisipatif-edukatif, melibatkan 80 siswa kelas XI dan XII dari jurusan Teknik Komputer dan Jaringan, Akuntansi, serta Bisnis Daring dan Pemasaran di SMK Kartika X Jakarta Barat. Pelatihan dilaksanakan selama satu minggu secara luring dengan sesi interaktif, diskusi kelompok, praktik langsung, dan refleksi. Materi mencakup pengenalan AI, strategi manajemen waktu, teknik menjaga motivasi, dan pemanfaatan AI untuk produktivitas belajar. Hasil pelatihan menunjukkan peningkatan signifikan dalam keterampilan manajemen waktu, motivasi belajar, serta literasi teknologi AI siswa. Peserta menjadi lebih mampu mengelola waktu secara efektif, menjaga motivasi belajar, dan menggunakan aplikasi AI untuk mendukung aktivitas belajar dan persiapan kerja.
Co-Authors Alpindo Alpindo Andy Dharmalau Christine Sientta Dewi Dartono Dartono Harun Ar-Rasyid Ike Kurniati Jamah Sari Lela Nurlaela Leli Putriani Gulo Riza Syahrial Septiana Ningtyas Sucahyo, Nur Suhanda, Yogasetya Tuhfatul Habibah Hasibuan Usanto S Usanto S Usanto Usanto