Father of Sociology

Auguste Comte (1798–1857) in 1838 and Émile Durkheim (1858–1917)

Data Analytics

Tren dalam menangani data dengan ragam disiplin ilmu

Data scientist

Mengekplorasi pengetahuan dari data dengan ragam teknik manajemen data

Edukasi

Mengedukasi masyarakat dengan ilmu dan fakta

Institusi Pendidikan

Menggali pengetahuan dengan riset dan penemuan

Selasa, 23 September 2025

HKI Intelegensia Bisnis Untuk Memprediksi Transaksi Berbasis Data Mining

 

EC002025120593
Tanggal Permohonan
2025-08-28
Tanggal Pertama Kali Diumumkan
2025-08-28
Tanggal Berakhir Masa Pelindungan
-

Uraian Ciptaan

Laporan Penelitian dengan Judul Intelegensia Bisnis Untuk Memprediksi Transaksi Berbasis Data Mining

Jenis Ciptaan

Laporan Penelitian

Pemegang

Nama
Kewarganegaraan
Universitas WidyatamaID

Pencipta

Nama
Kewarganegaraan
Feri SuliantaID
Endang AmaliaID
Ucu NugrahaID

Konsultan / Kuasa

Nama
Fersha Dewi Permatasari

Data per September 24, 2025

Sabtu, 06 September 2025

Implementasi dan Analisis Algoritma Content-Based Filtering Pada Sistem Rekomendasi Produk Tas pada Basis Data MySQL

 

Implementasi dan Analisis Algoritma Content-Based Filtering Pada Sistem Rekomendasi Produk Tas pada Basis Data MySQL

Authors

  • Aryoga Pranata Fakultas Teknik, Universitas Widyatama Bandung, Indonesia
  • Feri Sulianta Fakultas Teknik, Universitas Widyatama Bandung, Indonesia

DOI:

https://doi.org/10.55681/jige.v6i3.4017

Keywords:

Recommendation system, content-based filtering, natural language processing, MySQL, e-commerce

Abstract

Recommendation systems have become a crucial component in various digital platforms to enhance user experience by providing relevant product suggestions. This research aims to implement and analyze the Content-Based Filtering (CBF) algorithm in a product recommendation system using the MySQL database. The CBF algorithm works by recommending products similar to those already liked or purchased by the user based on the features of those products. In this context, features such as product category, brand, and text description are used to generate relevant recommendations. The implementation of this algorithm involves using Natural Language Processing (NLP) techniques to extract features from product descriptions stored in the database. The first phase of this research involves collecting and processing product data to ensure consistency and readiness for further analysis. Key features of each product are then extracted and their similarities calculated using the CBF algorithm. Subsequently, the recommendation results are tested and evaluated using performance metrics such as Precision and Recall to determine the system's effectiveness in providing relevant and beneficial recommendations to users. The research findings indicate that the CBF algorithm can provide fairly accurate and relevant product recommendations, enhancing user satisfaction by offering product choices that match their preferences. Performance evaluation also demonstrates that the system is effective in recognizing user preference patterns and providing useful suggestions. Additionally, the use of the MySQL database offers advantages in efficient data management and processing. With this recommendation system, it is expected to improve user satisfaction and engagement in the e-commerce platform. The use of CBF techniques enables the system to continually learn and adapt to user preferences, providing increasingly relevant recommendations over time.

 

References

Aisha, D., & Kusumawati, R. (2022). Implementasi metode algoritma collaborative filtering & k-nearest neighbor pada sistem rekomendasi e-commerce. Jurnal Ilmiah Sistem Informasi dan Ilmu Komputer, 2(3), 25–38.

Alkaff, M., Khatimi, H., & Eriadi, A. (2020). Sistem Rekomendasi Buku Menggunakan Weighted Tree Similarity dan Content Based Filtering. MATRIK J. Manajemen, Tek. Inform. dan Rekayasa Komput, 20(1), 193–202.

Aprianto, A. (2022). TA: Penerapan Algoritma Content-Based Filtering untuk Rekomendasi Destinasi Wisata pada Aplikasi Picnicker. Universitas Dinamika.

Ardiansyah, R., Bianto, M. A., & Saputra, B. D. (2023). Sistem Rekomendasi Buku Perpustakaan Sekolah menggunakan Metode Content-Based Filtering. Jurnal CoSciTech (Computer Science and Information Technology), 4(2), 510–518.

Christian, Y., & Kelvin, K. (2022). Rancang Bangun Aplikasi Kursus Online Berbasis Web Dengan Sistem Rekomendasi Metode Content-Based Filtering. Rabit: Jurnal Teknologi dan Sistem Informasi Univrab, 7(1), 23–36.

DQLab. (2024). Content-based filtering dalam algoritma data science. Diakses pada 19 Mei 2024 dari https://dqlab.id/content-based-filtering-dalam-algoritma-data-science

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Laksito, A. (2022). Sistem rekomendasi content-based filtering menggunakan PHP. Diakses pada 19 Mei 2024 dari https://blog.ariflaksito.net/2022/07/system-rekomendasi-content-based-php-mysql-part1.html

Larasati, F. B. A., & Februariyanti, H. (2021). Sistem Rekomendasi Product Emina Cosmetics Dengan Menggunakan Metode Content-Based Filtering. Jurnal Manajemen Informatika Dan Sistem Informasi, 4(1), 45–54.

Mardani, L. D. (2024). Implementasi Rekomendasi Content Based Filtering Dengan Apriori Berbasis Android (Doctoral dissertation, Universitas Mercu Buana Jakarta).

Mondi, R. H., Wijayanto, A., & Winarno, W. (2019). Recommendation system with content-based filtering method for culinary tourism in Mangan application. ITSMART: Jurnal Teknologi dan Informasi, 8(2), 65–72.

Nastiti, P. (2019). Penerapan Metode Content Based Filtering Dalam Implementasi Sistem Rekomendasi Tanaman Pangan. Teknika, 8(1), 1–10.

Parwita, W. G. S. (2019). Pengujian Akurasi Sistem Rekomendasi Berbasis Content-Based Filtering. Inform. Mulawarman J. Ilm. Ilmu Komputer, 14(1), 27.

Priskila, R., Sari, N. N. K., & Putra, P. B. A. A. (2024). Implementasi Content-Based Filtering Menggunakan Tf-Idf and Cosine Similarity Untuk Sistem Rekomendasi Resep Masakan. Jurnal Teknologi Informasi: Jurnal Keilmuan dan Aplikasi Bidang Teknik Informatika, 18(1), 43–51.

Putri, M. W., Muchayan, A., & Kamisutara, M. (2020). Sistem rekomendasi produk pena eksklusif menggunakan metode content-based filtering dan TF-IDF. JOINTECS (Journal of Information Technology and Computer Science), 5(3), 229–236.

Ridhwanullah, D., Kumarahadi, Y. K., & Raharja, B. D. (2024). Content-Based Filtering pada Sistem Rekomendasi Buku Informatika. Jurnal Ilmiah SINUS, 22(2), 57–66.

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Rancang Bangun Website Edukatif di Sekolah SDN 162 Warung Jambu Kiaracondong berbasis Laravel

 

 

 

Rancang Bangun Website Edukatif di Sekolah SDN 162 Warung Jambu Kiaracondong berbasis Laravel

Penulis

  • Feri Sulianta Program Studi Informatika, Fakultas Teknik, Universitas Widyatama
  • Fitrah Rumaisa Program Studi Informatika, Fakultas Teknik, Universitas Widyatama
  • Yan Puspitarani Program Studi Informatika, Fakultas Teknik, Universitas Widyatama
  • Sriyani Violina Program Studi Informatika, Fakultas Teknik, Universitas Widyatama
  • Ai Rosita Program Studi Informatika, Fakultas Teknik, Universitas Widyatama

DOI:

https://doi.org/10.52436/1.jpmi.3623

Kata Kunci:

Black Box, Design Thinking, Digitalisasi Pendidikan, Laravel, Metode Waterfall, Website Sekolah

Abstrak

Dalam era digital, sistem informasi berbasis web menjadi kebutuhan mendesak bagi institusi pendidikan untuk meningkatkan pendistribusikan informasi akademik, dan keterlibatan pendidik, peserta didik serta orang tua siswa. SDN 162 Warung Jambu Kiaracondong menghadapi kendala dalam peningkatan visibilitas dan pendistribusian informasi sekolah yang masih dilakukan secara manual. Oleh karena itu, dilakukan perancang dan pengembangkan situs web sekolah berbasis Laravel menggunakan metode Waterfall sebagai aspek dari digitalisasi pendidikan. Proses pengembangan mencakup analisis kebutuhan, desain, implementasi, pengujian Black Box, serta evaluasi menggunakan alat ukur kualitatif dan deskriptif. Perancangan Antar muka menggunakan metode Design Thinking yang mengakomodasi aspek Interface dan User Experience.  Hasil menunjukkan bahwa situs web ini mampu meningkatkan efisiensi yaitu: mempercepat akses informasi sekolah, serta memperkuat interaksi antara siswa, guru, dan orang tua. Pengujian sistem membuktikan bahwa seluruh fitur berfungsi sesuai dengan spesifikasi yang ditetapkan. Implementasi situs web sekolah ini menjadi solusi yang efektif dalam mendukung digitalisasi pendidikan dan meningkatkan distribusi informasi akademik bagi seluruh pemangku kepentingan di kalangan eduskatif SDN 162 Warung Jambu Kiaracondong.

Unduhan

Referensi

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Rabu, 27 Agustus 2025

JURNAL ABDIMAS SINTA 4

 















No Junal    Penerbit
PeriodeIndexLink
1ABDIMAS: JURNAL PENGABDIAN MASYARAKATUniversitas Muhammadiyah Tasikmalaya
January, April, July, and OctoberSINTA 4https://journal.umtas.ac.id/index.php/ABDIMAS
2JURNAL ABDIMAS MADANI DAN LESTARI (JAMALI) Universitas Islam Indonesia
Maret dan SeptemberSINTA 4https://journal.uii.ac.id/JAMALI
3SULUH: JURNAL ABDIMASUniversitas Pancasila
Agustus dan FebruariSINTA 4https://journal.univpancasila.ac.id/index.php/SULUH
4JURNAL ABDIMAS NUSA MANDIRI LPPM Nusa Mandiri
April & Oktober SINTA 4https://ejournal.nusamandiri.ac.id/index.php/abdimas
5JURNAL ABDIMAS EKONOMI DAN BISNIS Universitas Bina Sarana Informatika
Mei dan NovemberSINTA 4http://jurnal.bsi.ac.id/index.php/abdi-ekbis
6JURNAL ABDIMAS MAHAKAM LPPM Universitas Widya Gama Mahakam Samarinda
January and July.SINTA 4https://journal.uwgm.ac.id/index.php/abdimasmahakam
7ABDIMAS DEWANTARA Universitas Sarjanawiyata Tamansiswa
Maret dan OktoberSINTA 4https://jurnal.ustjogja.ac.id/index.php/abdimasdewantara/index
8ABDIMAS UNIVERSAL Universitas Balikpapan
April & Oktober SINTA 4https://abdimasuniversal.uniba-bpn.ac.id/index.php/abdimasuniversal
9Jurnal Abdimas Ilmiah Citra Bakti (JAICB)STKIP Citra Bakti
Februari, Mei, Agustus, dan NovemberSINTA 4https://jurnalilmiahcitrabakti.ac.id/jil/index.php/jailcb
10JURNAL ABDIMAS BINA BANGSAUniversitas Bina Bangsa
Juni dan Desember SINTA 4https://jabb.lppmbinabangsa.id/index.php/jabb/
11JURNAL SERAMBI ABDIMASUniversitas Jenderal Soedirman
Juni dan DesemberSINTA 4http://jos.unsoed.ac.id/index.php/sa
12
Jurnal Abdimas Kartika Wijayakusuma
Universitas Jenderal Achmad Yani
Maret dan OktoberSINTA 4https://journal.unjani.ac.id/index.php/jkwk
13ABDIMAS GALUH : JURNAL PENGABDIAN KEPADA MASYARAKAT LPPM Universitas Galuh
Maret dan September SINTA 4https://jurnal.unigal.ac.id/index.php/abdimasgaluh
14JUARA: JURNAL WAHANA ABDIMAS SEJAHTERA Universitas Trisakti
Januari dan JuliSINTA 4https://e-journal.trisakti.ac.id/index.php/juara
15PENGABDIANMU: JURNAL ILMIAH PENGABDIAN KEPADA MASYARAKATUniversitas Muhammadiyah Palangka Raya
January, March, May, July, September, and NovemberSINTA 4https://journal.umpr.ac.id/index.php/pengabdianmu
16JURNAL PELAYANAN DAN PENGABDIAN MASYARAKAT (PAMAS) Universitas Respati Indonesia
Februari, April, Agustus dan OktoberSINTA 4https://ejournal.urindo.ac.id/index.php/PAMAS
17Aksiologiya: Jurnal Pengabdian Kepada MasyarakatUniversitas Muhammadiyah Surabaya
Februari, Mei, Agustus dan November.SINTA 4https://journal.um-surabaya.ac.id/Axiologiya

Sabtu, 10 Mei 2025

Developing An It Infrastructure Model For Enhancing Digital Literacy Through Web-Based Learning: A Comprehensive Framework

DEVELOPING AN IT INFRASTRUCTURE MODEL FOR ENHANCING DIGITAL LITERACY THROUGH WEB-BASED LEARNING: A COMPREHENSIVE FRAMEWORK

Feri Sulianta, Fitrah Rumaisa, Yan Puspitarani, Sriyani Violina, Ai Rosita

Abstract

In today's rapidly evolving educational landscape, there is a growing need to develop an IT infrastructure model that can effectively support web-based learning environments to enhance digital literacy. The proposed model offers a comprehensive framework for educational institutions to integrate digital technologies into their curricula seamlessly. Key elements of the model include essential hardware, user-friendly software, and advanced security measures, each playing a vital role in creating a seamless, secure, and efficient digital learning experience. This study explores the dynamic interactions among these components and their collective influence on fostering a conducive and productive web-based learning environment. By addressing the need for reliable infrastructure, scalable solutions, and robust security protocols, the model provides a holistic approach to improving digital literacy in educational contexts. The research underscores the critical role of a well-structured IT infrastructure in supporting digital education, offering actionable insights and recommendations for implementation. Moreover, it emphasizes that a well-developed IT infrastructure is foundational for the long-term success of web-based learning programs, enabling institutions to meet diverse learner needs, adapt to technological advances, and ensure sustainability in the digital education landscape.


Full Text:

PDF

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DOI: https://doi.org/10.33387/jiko.v7i3.8761

 

Dipublikasikan pada jurnal: 

JIKO (Jurnal Informatika dan Komputer) is a scientific journal that began to publish volume 1 number 1 in 2018, then in 2020 JIKO began to be published as many as 3, namely in April, August, and December. Journals with P-ISSN numbers 2614-8897 and E-ISSN 2656-1948 have been accredited SINTA 3 by the Ministry of higher education, science and technology with the number 0173/C3/DT.05.00/2025. This accreditation is valid for 5 years, namely volume 7 number 1 in 2024 to volume 11 number 2 in 2028. The Digital Object Identifier (DOI) address of JIKO is http://dx.doi.org/10.33387/jiko. This journal contains the results of research on Intelligent Systems, Image Processing, Computer Systems, Social Informatics, Digital Forensic, Health Informatics, Game Media and Mobile Technology, Data Mining, Human and Computer Interaction, Machine Learning, Natural Language Processing, Virtual Reality, E-Learning and related fields of computer science.