Claim Missing Document
Check
Articles

Found 1 Documents
Search
Journal : Jurnal Teknik Informatika (JUTIF)

COMBINATION OF WP AND TOPSIS METHODS IN A DECISION SUPPORT SYSTEM FOR WATERMELON SEED RECOMMENDATION Tejawati, Andi; Puspitasari, Novianti; Pasorong, Hillary Bella; Masa, Amin Padmo Azam
Jurnal Teknik Informatika (Jutif) Vol. 5 No. 4 (2024): JUTIF Volume 5, Number 4, August 2024 - SENIKO
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2024.5.4.2317

Abstract

Watermelon is a horticultural plant that can be cultivated by the wider community with adequate profits. In Indonesia, watermelon production is still unable to meet the huge market demand and has not been able to be met by local watermelon-producing areas. One of the reasons why watermelon production is insufficient is because the fruit is easily damaged due to inappropriate watermelon seeds. The right watermelon seeds can be selected using a Decision Support System. This study uses two combination methods, namely Weighted Product (WP) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), to be applied in the Decision Support System for watermelon seed recommendations. The WP method is used to determine the weight of the criteria, while TOPSIS is used to determine the order of watermelon seed recommendations. The data used in this study were twenty alternative watermelon seeds with five criteria, namely land recommendations, yield potential, fruit weight, harvest age, and disease resistance. Of the five criteria determined by the WP method, the largest criterion value is in the land recommendation. The results of the implementation with both methods produced recommendations for watermelon seeds, with the first ranking result being the F1 Series (3n) watermelon seeds with a preference value of 0.85442, and black box testing showed that this system was able to provide recommendations for quality watermelon seeds according to their functionality based on the application of the WP and TOPSIS methods.
Co-Authors Adiningrum , Maheswari Al Hidayat, Muhammad Restu Al-Azhimah, Nur Inayah Alhabsy, Said Nabil Hasan Alifia, Shafa Nur Aljidannur, Andi Muhammad Rivaldy Alviana, Kurnia Amal , Fakhmul Amin, Dhestyara Alivia Andika, Arya Bhima Anindita Septiarini, Anindita Antara, Alecia Maharani Ektya Aprilia, Trisna Ari Pradhana, Alvin Arviani, Syilla Astuti, Dea Cahyaningrum Indra Astuti, Eka Desi Puji Bayu Setiawan Dengen , Helen Amalia Edy Winarno Enjellita , Rissa Fachreiza, Muhammad Fadillah, M. Rezieq Fahlevy, Muhammad Novil Fahriza, Ridho Fajri, Muhamad Mushfa Hikmatal Falah, Muhammad Akmal Fathurendra, Argya Faza, Muhammad Reyno Fitri , Anisa Ginting, Stephanie Elfriede Hadianto , Mohammed Noeno Hairah, Ummul Hairunnisa, Namira Aida Hamdani Hamdani Harsyal Kila, Hiskya Ibrahim, Muhammad Rivani Indra Maulana, Indra Irsyad, Akhmad IRWANSYAH Islamiyah Islamiyah Islamiyah, Islamiyah Jumanto Jumanto, Jumanto Jundiliah, Muhammad Labib Jundillah , Muhammad Labib Jundillah, Muhammad Labib Kamila, Vina Zahrotun Karinda , Siti Solikah Yosi Lawi, Bella Theressa Lintang, Irendra Madani, Mohammad Ichsan Mulia, Amalia Budiana Nasrullah, Ryanda Putra Nurwahyu, Ferryza Padoran , Jenita Nice Pasangkin, Jharmiyanto Kurnia Pasorong, Hillary Bella Pinadekso, Achmadin Suryo Prafanto, Anton Pramudita, Nindya Prasetyo, Muhammad Eko Pratama , Rifki Pratama, Rifki Pratidina, Ummi Pratini, Hesti Purwanti, Hani Puspitasari, Novianti Putut Pamilih Widagdo, Putut Pamilih Rabbani, Zaki Fauzan Ramadhan , Riendra Zanneti Ramadhana Ramadhani, Alya Rizqi Ramadiani Rapiq, Rayhan Abdilah Ridho , Abdillah Nur Ridho, Abdillah Nur Riswanti, Nita Rizky Chandra, Rizky Sagita, Andi Yolanda Saputra , Fadil Saputra, Fachi Aditia Saputra, Muhammad Fawaz Saragi , Bertha Joy Rodo Sari, Syafrina Aulia Setyadi, Hario Jati Sidabutar, Erni Veronica Tejawati, Andi Tobing, Christina Febriyanti Ulhaq, Dhiya Verdila, Vebi Wanda, Awang Muhammad Trielevy Widagdo , Putut Pamilih Yunus, Ahmad Zahra , Aji Arinda