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All Journal Semantik Jurnal Simetris Telematika Jurnal Transformatika CESS (Journal of Computer Engineering, System and Science) KLIK (Kumpulan jurnaL Ilmu Komputer) (e-Journal) Jurnal Informatika Upgris E-Dimas: Jurnal Pengabdian kepada Masyarakat Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Jurnal Teknologi Terpadu Jurnal Review Pendidikan dan Pengajaran (JRPP) Building of Informatics, Technology and Science Journal of Information Systems and Informatics IJAIT (International Journal of Applied Information Technology) E-Link: Jurnal Teknik Elektro dan Informatika Jurnal Teknik Informatika C.I.T. Medicom JPKMI (Jurnal Pengabdian Kepada Masyarakat Indonesia) Abdimasku : Jurnal Pengabdian Masyarakat Jurnal TIKOMSIN (Teknologi Informasi dan Komunikasi Sinar Nusantara) Jurnal Teknologi Informatika dan Komputer Jurnal Program Kemitraan dan Pengabdian Kepada Masyarakat Transformasi Jurnal Informatika Teknologi dan Sains (Jinteks) Jurnal Teknologi Informasi Cyberku JURNAL ABDIKARYASAKTI Jurnal Pengabdian Kolaborasi dan Inovasi IPTEKS Jurnal Kabar Masyarakat NERO (Networking Engineering Research Operation) Tematik EduInovasi: Journal of Basic Educational Studies Jurnal Pengabdian Masyarakat Teknologi dan Pendidikan (MANTAP) Dinamis: Jurnal Pengabdian Kepada Masyarakat Jurnal DIMASTIK Komputasi : Jurnal Ilmiah Ilmu Komputer dan Matematika
Astrid Novita Putri, Astrid
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Religion Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Public Health Social Sciences Other

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SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN KARYAWAN TERBAIK MENGGUNAKAN METODE SAW DAN TOPSIS PADA KPPN SEMARANG II Muhamad Reski Mufiani; Astrid Novita Putri
Jurnal Informatika Teknologi dan Sains (Jinteks) Vol 8 No 2 (2026): EDISI 28
Publisher : Program Studi Informatika Universitas Teknologi Sumbawa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51401/jinteks.v8i2.7307

Abstract

Penelitian ini bertujuan untuk merancang dan mengimplementasikan Sistem Pendukung Keputusan (SPK) dalam pemilihan Pegawai Terbaik di KPPN Semarang II menggunakan metode Simple Additive Weighting (SAW) dan Technique for Order Preference by Kemiripan ke Solusi Ideal (TOPSIS). Penilaian dilakukan berdasarkan lima kriteria, yaitu Ketertiban/Disiplin, Nilai Kinerja Pegawai (NKP), Sikap & Pelayanan, Tanggung Jawab, serta Inisiatif & Kompetensi. Metode SAW digunakan untuk menghitung nilai preferensi melalui penjumlahan terbobot, sedangkan TOPSIS menentukan alternatif terbaik berdasarkan kedekatan terhadap solusi ideal. Hasil perhitungan menunjukkan bahwa sistem mampu menghasilkan kinerja pegawai secara objektif dan terukur. Pengujian menggunakan User Acceptance Test (UAT) memperoleh tingkat penerimaan sebesar 81,25%, yang menunjukkan bahwa sistem berada pada kategori baik dan layak digunakan sebagai alat bantu pengambilan keputusan.
Implementasi User-Based Collaborative Filtering dengan Cosine Similarity untuk Sistem Rekomendasi Produk pada Marketplace Botol Plastik Berbasis Web Ridho Alvin Saputra; Astrid Novita Putri
EduInovasi:  Journal of Basic Educational Studies Vol. 6 No. 1 (2026): EduInovasi:  Journal of Basic Educational Studies
Publisher : Intitut Agama Islam Nasional Laa Roiba Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47467/edu.v6i1.12261

Abstract

The development of web-based marketplaces has increased the number of available products, making it difficult for users to find products that match their needs and preferences. This condition creates information overload, which can reduce the effectiveness of product searching in marketplaces. This study aims to implement the User-Based Collaborative Filtering method with Cosine Similarity in a product recommendation system for a web-based plastic bottle marketplace. The research used a quantitative method with an implementation approach using real rating data from the marketplace consisting of 108 ratings, 36 users, and 15 products with a sparsity level of 80%. The research stages included building a user-product matrix, calculating cosine similarity, selecting K=5 neighbors, and predicting ratings using weighted average. The results showed that the system was able to generate product recommendations based on user preference similarities with the highest similarity value of 0.9939 and the highest predicted rating of 5.0000. The study also found that high sparsity caused many user pairs to have only a few co-rated items, resulting in trivial similarity values of 1.0000. Therefore, the User-Based Collaborative Filtering method with Cosine Similarity can be implemented in a web-based plastic bottle marketplace to support personalized product recommendations.
Pemanfaatan Teknologi Virtual Tour Reality Menggunakan Metode Image Stitching dan Seam Carving pada Desa Wisata Tawangmangu sebagai Media Promosi Inovatif Astrid Novita Putri; Pratama Angga Buana; Suryo Adinugroho; Anindya Khrisna Wardhani
Jurnal Pengabdian Masyarakat Teknologi dan Pendidikan (MANTAP) Vol. 1 No. 2 (2024): Jurnal Pengabdian Masyarakat Teknologi dan Pendidikan (Jurnal Mantap)
Publisher : Redtech Putra Benua

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Tawangmangu Tourism Village in Central Java offers a wide range of attractions, including flower gardens, cultural traditions, and captivating natural beauty. However, challenges in adopting modern technology-based promotion limit its appeal to tourists. This study aims to develop a promotional medium based on a Virtual Tour Reality application utilizing Image Stitching and Seam Carving technologies. These technologies enable comprehensive visualization of destinations through 360° panoramic images, accessible on any internet-connected device.The Multimedia Development Life Cycle (MDLC) method was applied in the application development process, including data collection, design, production, testing, and distribution. Data was gathered through interviews with village tourism managers to analyze needs and provide relevant solutions. The study produced 151 panoramic images and a web-based virtual tour application that effectively attracts tourists with interactive and informative visualizations. The implementation of this technology not only enhances the accessibility of tourism information but also promotes the potential of Tawangmangu Tourism Village on a global scale. These results mark a significant first step toward integrating advanced technology into destination marketing strategies.
Peningkatan Kompetensi Digital Marketing melalui Pelatihan Media Sosial bagi Siswa Jurusan Bisnis Digital Dinar Anggit Wicaksana; Titin Winarti; Astrid Novita Putri; Febrian Wahyu Christanto
Jurnal Kabar Masyarakat Vol. 4 No. 3 (2026): Agustus: JURNAL KABAR MASYARAKAT
Publisher : Institut Teknologi dan Bisnis Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54066/jkb.v4i3.4912

Abstract

The rapid advancement of digital technology requires students to develop competencies in utilizing social media as a marketing platform. Based on preliminary observations and information from the Head of the Digital Business Department at SMK Yayasan Pharmasi Semarang, all students already had Instagram accounts; however, they had never received instruction on Instagram algorithms, Search Engine Optimization (SEO), profile optimization, the use of Alt Text, or hashtag strategies. This Community Service Program aimed to enhance students' digital marketing competencies through Instagram-based social media training. The program employed lectures, demonstrations, hands-on practice, discussions, and evaluations using pre-test and post-test questionnaires with a five-point Likert scale involving 20 students. The evaluation results demonstrated a significant improvement in students' competencies, as indicated by the increase in the average score from 2.26 in the pre-test to 4.62 in the post-test, representing more than a twofold increase. The most substantial improvements were observed in participants' understanding of Instagram algorithms, profile optimization, the use of Alt Text, and hashtag strategies. In addition, participants expressed high levels of satisfaction regarding the quality of the training materials, the instructor's expertise, the practical sessions, and the overall benefits of the program. These findings demonstrate that Instagram-based social media training is effective in improving students' digital marketing competencies and supporting their readiness to meet the demands of the business and industrial sectors.
Co-Authors Adinugroho, Suryo Agusta Praba Ristadi Pinem Ahmad Rifa’i Anindya Khrisna Wardhani April Firman Daru Arya Jonathan Trijadi Ashour, Salim Fathi Salim Badroe Zaman Basworo Ardi Pramono Caesar, Meisya Eliza Cahyaningrum Febrian Wahyu Christanto Fitrianti, Ayang Hadi, Soiful Handayani, Sri Hanif, Mohammad Burhan Joko Suntoro Khoirudin Khoirudin Kusumaningrum, Yulinda Lakhmudien, Lakhmudien Latius Hermawan M. Zakki Abdillah Mochamad Hariadi Muhamad Reski Mufiani Nur Latifah Dwi Mutiara Sari Nur Wakhidah paulus harsadi Perkasa, Attila Elang Pratama Angga Buana Rastri Prathivi Rastri Prathivi Ridho Alvin Saputra Ruri Suko Basuki Sari, Yuhana Indah Setiaji, Galet Guntoro Setiarso, Galih Shona Chayy Bilqisth Siti Asmiatun, Siti Soiful Hadi Suryo Adinugroho Susanto Susanto Vensy Vydia Victor Gayuh Utomo Wardana, Hafiq Ibnu Wardhani, Anindya Khrisna Wardhani, Anindya Khrisna Whisnumurti Adhiwibowo Wicaksana, Dinar Anggit Winarti, Titin Wiratama Adi Wibawa