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All Journal Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal Teknik Informatika UNIKA Santo Thomas Informatika Jurnal Tekinkom (Teknik Informasi dan Komputer) MEANS (Media Informasi Analisa dan Sistem) Jurnal Ilmu Komputer dan Sistem Informasi (JIKOMSI) Jurnal Pengabdian kepada Masyarakat Nusantara Journal of Applied Data Sciences Jurnal Sistem Informasi, Teknik Informatika dan Teknologi Pendidikan (JUSTIKPEN) Jurnal Pengabdian Masyarakat : Pemberdayaan, Inovasi dan Perubahan Jurnal Teknik Informatika Unika Santo Thomas (JTIUST) Journal of Computer Science and Information Systems (JCoInS) IKA BINA EN PABOLO : PENGABDIAN KEPADA MASYARAKAT Jurnal Masyarakat Berdikari dan Berkarya (MARDIKA)
Munthe, Ibnu Rasyid
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Religion Aerospace Engineering Humanities Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mechanical Engineering Public Health Social Sciences Other

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Journal : Journal of Computer Science and Information Systems (JCoInS)

 1 
Optimalisasi dan Strategi Penjualan Baju Thrifting Melalui Implementasi E-commerce CMS PrestaShop di Jalan Sigambal Rantauprapat Ardiansyah, Sandi; Harahap, Syaiful Zuhri; Munthe, Ibnu Rasyid
Journal of Computer Science and Information System(JCoInS) Vol 5, No 4: JCoInS | 2024
Publisher : Universitas Labuhanbatu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36987/jcoins.v5i4.6813

Abstract

Abstract This study aims to explore effective digital marketing strategies for enhancing thrift clothing sales in the era of information technology. With the rapid development of technology and increasing market competition, businesses that previously relied solely on social media platforms like Instagram now need to adapt by utilizing more professional e-commerce platforms. This research compares specific thrift platforms with websites using CMS Prestashop in attracting consumer attention. The methods employed include observation, interviews, and literature reviews, aiming to understand the interaction patterns between sellers and buyers, as well as the operational dynamics within thrift businesses. The findings are expected to provide valuable insights for entrepreneurs in formulating more effective digital marketing strategies, thereby increasing competitiveness and sustainability in an increasingly competitive market.
Analisa Perancangan Sistem Informasi Pada Toko Rafatar Berbasis Web Menggunakan PHP MySQL Pane, Dinda Nurinayah; Masrizal, Masrizal; Harahap, Syaiful Zuhri; Munthe, Ibnu Rasyid
Journal of Computer Science and Information System(JCoInS) Vol 6, No 3: JCoInS | 2025
Publisher : Universitas Labuhanbatu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36987/jcoins.v6i3.7893

Abstract

Rafatar stores today still rely on manual sales systems that are prone to human error, inefficient, and make inventory management difficult. This study aims to design and build a website-based sales system to overcome these problems. The system was developed using the PHP programming language and MySQL database to improve operational efficiency, data accuracy, and expand market reach. For inventory management, this study applies the FIFO method (First-In, First-Out) to ensure accurate stock management and minimize the risk of loss. The development of this website is expected to increase the competitiveness of Rafatar stores in a competitive market.
Model Prediktif Kepuasan Pelanggan Pada Hotel Platinum Menggunakan Motode K-Means Clustering Siregar, Siti Kholijah; Harahap, Syaiful Zuhri; Ah, Rahma Muti; Munthe, Ibnu Rasyid
Journal of Computer Science and Information System(JCoInS) Vol 6, No 3: JCoInS | 2025
Publisher : Universitas Labuhanbatu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36987/jcoins.v6i3.7935

Abstract

Customer satisfaction is a key pillar of success in the competitive hospitality industry, directly impacting loyalty and profitability. Recognizing this, Platinum hotels need the ability to predict guest satisfaction in order to refine their service strategies. This study focuses on the development of predictive models of customer satisfaction at Platinum hotel using the K-Means Clustering method. This method was chosen because of its effectiveness in grouping complex data into homogeneous segments based on common characteristics. Customer Data will be grouped by attributes of their stay to identify different segments of customers with unique levels of satisfaction and preferences. It is hoped that this model can provide deep insights into customer profiles, reveal hidden patterns, and predict future guest expectations. The results of this study will contribute to improving the quality of Service and strategic decision-making at Platinum hotels and can be a reference for the hospitality industry in implementing a data-driven approach.
Co-Authors Aditya, Nanda Ah, Rahma Muti Amanda, Ade Trya Amansyah, Rizky Anita Sri Rejeki Hutagaol, Anita Sri Rejeki Aritonang, Yuliana Br Azhari Lubis, Haldina Syahfitri Aziz, Tengku Irwan Fauziah, Ridha Febriyanti, Ade Eka Fitriandika Sari, Novi Gaja, Eggi Ok Pernanda Gulo, Nur'Ainun Hanum, Fauziah Harahap, Tongku Hamonangan Harist N, Abdul Hasibuan, Mila Nirmala Sari Helvi Rambe, Bhakti Ichlas, Al Irmayani Irmayani Irmayani, Deci Juledi, Angga Putra Lashiyanti, Allbila Rahajeng Lumban Gaol, Tid Verawati Maulam, Zevi Adam Muhammad Halmi Dar Muliani, Sonia Sri Mutia Mutia, Mutia Nasution, Fitri Aini Nasution, Marnis Nurul Pratiwi Pane, Dinda Nurinayah Pane, Rahmadani Pertiwi, Nur Fajar Kurnia Petromak Sinaga, Gandhi Naek Putri, Kirana Dwi Rambe, Bhakti Helvi Rasyid Munthe, Shabrina Richi Andrianto Ritonga, Irna Alfaini Rusmiana, Rusmiana SANDI ARDIANSYAH Sari, Miranda Sari, Novi Fitriandika Sihite, Holong Marhula Sihombing, Volvo Simamora, Rikardo Lasroha Sipahutar, Rizka Nurfatni Siregar, Siti Kholijah Sitepu, Melda Betaria Sitompul, Joni Awendri Sitorus, Anggiat Selamat Suci Ramadhani, Suci Syaiful Zuhri Harahap Syaputra, Panca Tiara, Dewi Tomi Hidayat, Tomi Tompul, Fahreza Br Tonny, Tonny Trya Amanda, Ade Wiranti, Dea