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All Journal Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer INTEGER: Journal of Information Technology JOURNAL OF APPLIED INFORMATICS AND COMPUTING JCES (Journal of Character Education Society) MEKANIKA - JURNAL TEKNIK MESIN Wahana : Tridarma Perguruan Tinggi ILKOMNIKA: Journal of Computer Science and Applied Informatics Jurnal of Applied Multimedia and Networking Jurnal Pengabdian kepada Masyarakat Nusantara JTECS : Jurnal Sistem Telekomunikasi Elektronika Sistem Kontrol Power Sistem dan Komputer Journal of Management and Digital Business Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) Jurnal Pengabdian dan Pengembangan Masyarakat Indonesia Prosiding SEMNAS INOTEK (Seminar Nasional Inovasi Teknologi) Journal Of Artificial Intelligence And Software Engineering Jurnal Ekonomi, Manajemen, Akuntansi
Rahayu, Putri Nur
Unknown Affiliation
Aerospace Engineering 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 Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Public Health Social Sciences Transportation Other

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Penerapan weighted sum model pada sistem evaluasi pelanggan untuk mendukung keputusan kerja sama Sakdiyah, Sabila Halimatus; Praharsi, Yugowati; Rahayu, Putri Nur
Journal of Management and Digital Business Vol. 6 No. 1 (2026): Journal of Management and Digital Business
Publisher : Nur Science Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53088/jmdb.v6i1.2523

Abstract

The design and development of a web-based customer evaluation and monitoring system were carried out to improve decision-making in partnership management. Manual evaluation processes often require cross-divisional coordination, are time-consuming, and may lead to delayed and subjective decisions. However, previous studies have mainly focused on conceptual or calculation-based applications of multi-criteria decision-making methods, with limited integration into continuously used web-based systems for operational decision-making. This research proposes a web-based system that integrates four weighted evaluation criteria: communication responsiveness (15%), total order value (20%), contract payment terms (15%), and payment compliance (50%), to determine customer status based on historical collaboration data. The system was developed using the prototyping method, allowing iterative refinement through user feedback. System testing was conducted using Blackbox Testing and User Acceptance Testing (UAT). The results indicate that the system functions as intended, with UAT results showing a user satisfaction level of 91.25% and Blackbox testing confirming 100% functional accuracy. These findings demonstrate that the proposed system effectively supports objective, efficient, and consistent partnership decision-making by providing a structured and transparent evaluation process aligned with business needs.
Extraction and Classification Feature of Timbers texture with Wavelet, Color Moment, and Multi Layer Perceptron Rahayu, Putri Nur; Rakhmadi, Ardhon; Puji Putra, Anggarjuna Puncak; Erwanto, Danang Erwanto; Atmiasri, Atmiasri
WAHANA Vol 78 No 1 (2026): Wahana Tridarma Perguruan Tinggi
Publisher : LPPM Universitas PGRI Adi Buana Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36456/wahana.v78i1.11391

Abstract

The manual identification and classification of timber species are often subjective, time-consuming, and require specialized expertise. To address these limitation, an automated system is essential to simplify the identification and classification processes. This research is combined approach to timber feature extraction based on texture and color. The three methods used are: 1) The method of Wavelet for spatial texture extraction, 2) The color moment method for extraction statistical color information (mean, standard deviation, and skewness), and 3) the Multi Layer Perceptron Method, where Multi Layer Perceptron is used to classify the extraction result from Wavelet and color moment
Co-Authors Achmad Arif Alfin Adhitya, Ryan Yudha Annisa, Aulia Ardhon Rakhmadi Ardiana, Mirza Atika Kurniasari Atmiasri Augustino, Immanuel Freddy Aulia Rahma Annisa Aulia Rahma Annisa Brian, Thomas Devi, Yesica Novrita Dewi, Arfiana Erwanto, Danang Erwanto, Danang Erwanto Feby Agung Pamuji Jami’in, Mohammad Abu Khoiriyah, Azulfatun Kurniadi, Harso Maulidhia, Alief Nur Aisyi Mulyo, Budi Mukhamad Nurhannavi, Davit Nurkholis, Afif Pratama , Moh. Andris Puji Putra, Anggarjuna Puncak Pujiputra, Anggarjuna Puncak Rachma, Fara Camila Widia Riska Nurtantyo Sarbini Royb Fatkhur Rizal Sakdiyah, Sabila Halimatus Salsabila, Cantika Putri Hanida Sari, Devina Puspita Sekar, Anggrea Sholikhah, Evi Nafiatus Shultoni Mahardika Sukarno, Friska Intan Thooriqoh, Hazna At Utomo, Yudo Bismo Wibowo, Sekarsari Widyastuti, Indri Ika Yudi Andika Yumono, Fajar Yuniati, R. A. Norromadani