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All Journal NALARs Prosiding Semnastek International Journal of Advances in Intelligent Informatics Nature: National Academic Journal of Architecture Elektum : Jurnal Teknik Elektro International Journal of Built Environment and Scientific Research Swabumi (Suara Wawasan Sukabumi) : Ilmu Komputer, Manajemen, dan Sosial IJCIT (Indonesian Journal on Computer and Information Technology) AKSIOLOGIYA : Jurnal Pengabdian Kepada Masyarakat SAMARAH: Jurnal Hukum Keluarga dan Hukum Islam RESISTOR (Elektronika Kendali Telekomunikasi Tenaga Listrik Komputer) Aptisi Transactions on Technopreneurship (ATT) Jurnal Permukiman Acuity : Journal of English Language Pedagogy, Literature and Culture MULTINETICS Jurnal PORKES Jurnal Pengabdian Masyarakat Teknik Emanasi Jurnal Ilmu Keislaman dan Sosial Jurnal Koridor Jurnal Kajian Ilmiah Journal of Tourism and Economic Dedikasi: Jurnal Pengabdian kepada Masyarakat Instal : Jurnal Komputer Simpatik: Jurnal sistem Informasi dan Informatika J-Intech (Journal of Information and Technology) Jurnal Insan International Journal of Architecture and Urbanism Al-Istinbath: Jurnal Hukum Islam Journal of Entrepreneurship and Community Innovations INTERNATIONAL JOURNAL OF SOCIETY REVIEWS (INJOSER) La-Tahzan: Jurnal Pendidikan Islam RESLAJ: Religion Education Social Laa Roiba Journal Jurnal Ilmiah Sistem Informasi Profetik: Jurnal Pengabdian Masyarakat Islamic Education Journal (ISEDU) Language Circle : Journal of Language and Literature At Tawil Jurnal Pengkajian al Quran dan at Turats
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Journal : J-Intech (Journal of Information and Technology)

Sistem Rekomendasi Produk Menggunakan Metode User-Based Collaborative Filtering Pada Digital Marketing Suhada, Satia; Bahri, Saeful; Nugraha, Setyo Bagus; Hidayatulloh, Taufik; Wintana, Dede
J-INTECH (Journal of Information and Technology) Vol 11 No 1 (2023): J-Intech : Journal of Information and Technology
Publisher : LPPM STIKI MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/j-intech.v11i1.866

Abstract

The recommendation system has been implemented in digital marketing used in marketing products and services. The recommendation system is used to provide offers of goods and services in accordance with customer habits and interests in the proposed products and services, but in practice the right product offering for customers leads to the idea of developing a product recommendation system. Purchase data obtained from customers can be used to analyze customer needs and product preferences. In the recommendation system, Collaborative Filtering is one of the most commonly used algorithms. The purpose of this study is to find out how accurate the recommendation system is based on the purchase of similar goods between consumers using User-based Collaborative Filtering. Based on the results of the study, User-based Collaborative Filtering using Cosine Similarity calculations can be applied and produce 10 product recommendations with an RMSE value of 0.9.
Penerapan Multi-Layer Perceptron dan Diskrit pada Prediksi Cacat Software Wintana, Dede; Gunawan, Gunawan; Sulaeman, Hamdun; Bahri, Saeful
J-INTECH (Journal of Information and Technology) Vol 12 No 02 (2024): J-Intech : Journal of Information and Technology
Publisher : LPPM STIKI MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/j-intech.v12i02.1422

Abstract

Software defects are one of the main causes of information technology waste, posing a major challenge in software development as they can degrade the quality of the software itself. To reduce costs and efforts in software development and maintenance, predicting software defects is the best approach. Multi-Layer Perceptron (MLP) is a type of artificial neural network that can be used to learn complex and non-linear patterns in input data. It excels in modeling complex and non-linear relationships in data, as well as automatically extracting features and handling problems that cannot be solved by linear models. One of the preprocessing steps to optimize MLP is data discretization, which involves dividing the range of attributes into intervals to reduce the number of numerical attributes to categorical data. Testing results with five types of data from NASA MDP (CM1, JM1, KC1, KC2, and PC1) showed significant accuracy improvements. In the CM1 dataset, accuracy increased to 96.1% compared to using MLP alone, which achieved 91.1%. In the JM1 dataset, accuracy increased to 79.1% compared to MLP alone, which achieved 78.3%. In the KC1 data, accuracy increased to 88.5% compared to MLP alone, which achieved 85.9%. In the KC2 dataset, MLP with discretization achieved an accuracy of 89.8%, better than MLP alone at 84.8%. In the PC1 data, the highest accuracy obtained was 95.5% compared to MLP alone, which achieved 94.3%.
Co-Authors Achmad Fauzi Agus Sutisna Agus Yulianto Ahmad Nur Faizin Ahmad Yusuf Al Zahra, Nabila Al-Amin, Roby Andhika Darmawan Andi Riyanto Andi Zulfa Majida Andia Ridho Arif Anggraini, Recha Abriana Anisa Anisa Arafah, Sitti Ari Widyati Purwantiasning Ari Widyati Purwantiasning Arief, Dasya As. Rakhmad Idris, As. Rakhmad Asep Saefullah Ashadi Buana, Muhammad Cakra Chairul Anwar Dede Burhanudin, Dede Dede Wintana Eka Ratna Safitri Endang Juliastuti Erwin Dermawan Fadillah Rezky, Syarifah Fadliondi Faris, Nahrul Febby Angga Permana, Febby Angga Fikriyah, Kholisotu Giriana, Dewinta Firda Gunawan Gunawan Gunawan Hardivizon Hardivizon Haris Isyanto Heri Kusindaryadi Husnibes Muchtar Husnibes Muchtar Ilham, Muhammad Faris Iqbal Fadhilah Jahdiah Jahdiah, Jahdiah Jihan Sonia Khaerurani Nur Asyifa Koeswara, Tya Septiani Nurfauziah Kokom Komariah Kumala Sari, Eva Dwi Kusmira, Mira Kuswandi, Irwan Mahmudah Nur, Mahmudah Masitoh, Rikha Masyitoh Melisa Winda Pertiwi Miftahul Janah Mochamad Noorman Bayuardi Moh.Badrul Alam Muhamad Rosadi, Muhamad Muhammad Akbar Rafsyanjani Muhammad Cakra Buana Muhammad Fachri Baharsyah Muhammad Hidayat Nur Wahid Muhammad Miftahussalam Musyfikah Ilyas, Musyfikah Mutawakkil, Muhammad Pasya Nanda Alifia Nasruhi, Moch. Nugraha, Setyo Bagus Nur'aini, Yusna Salma Nuraini, Yusna Salma Nurohmah, Siti Nursugiharti, Titih Pangestu, Agis Panggalih Sako Denta Pindha Kaptiningrum Pribadi, Denny Purwono Purwono Putra Arista Pratama, Putra Putra Septia Yuza Qur'ani, Tsaura Halwa Rafsyanjani, Muhammad Akbar Ratningsih, Ratningsih Ridwan ridwan Riza Samsinar Rizal Amegia Saputra Rizka Amalia Roch Aris Hidayat, Roch Aris Rusda Wajhillah, Rusda Ruslan Abdul Gani Safei, Mawar Satia Suhada, Satia Setiawan, Sandy Sinta Nur Hilali Sinuraya, Junus SITI KHOLIFAH Sri Endah Wahyuningsih Sri Wuli Fitriati Stefani Kusuma Dewi Suhardiyanto Suhardiyanto, Suhardiyanto Sulaeman, Hamdun Sumarno, Ardawi Suprijanto Suprijanto Sururi Syibromalisi, Arif Taufik Hidayatulloh Tuffahati, Wafa W, Widhiyanto Wardany, Mutia Setya Widayati Widhiyanto Yanti Apriyani, Yanti Yogi Haryono Yulianto Yuri Rahayu Ziaul Fiqih, Ziaul