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All Journal Jurnal Manajemen Informatika & Teknologi Jurnal Ilmiah Teknik Informatika dan Komunikasi Informatics
Tri Ana Setyarini
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Computer Science & IT Electrical & Electronics Engineering

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Sistem Pendukung Keputusan Penentuan Penerima Beasiswa Daerah Menggunakan Metode MABAC: Studi Kasus Pemda Kabupaten Sikka Jekonia Nelchika Titing; Tri Ana Setyarini
Jurnal Manajemen Informatika & Teknologi Vol. 5 No. 2 (2025): Oktober : Jurnal Manajemen Informatika & Teknologi
Publisher : LPPM Sekolah Tinggi Ilmu Ekonomi - Studi Ekonomi Modern

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/hznw0q51

Abstract

The selection process for regional scholarship recipients often involves multiple criteria and a large number of applicants. This situation can make it difficult for the local government to make objective and efficient decisions. This study aims to design a Decision Support System (DSS) to assist the local government, particularly in Sikka Regency, in the scholarship recipient selection process. The MABAC method was chosen as the calculation method in this Decision Support System because of its capability to handle multi-criteria problems and produce accurate results.The system is expected to select prospective scholarship recipients objectively, transparently, and efficiently. This research produces an information system that can assist the local government in decision-making regarding scholarship determination. By using this system, the selection process is expected to become faster, more accurate, and accountable. In addition, the system can provide recommendations to the local government regarding current scholarship policies
Klasifikasi Penyakit Tanaman Kentang Menggunakan Metode K-Nearest Neighbor Berdasarkan Fitur Warna Dan Tekstur Daun Murni Ardiningsih Putri Yali; Tri Ana Setyarini
Informatics Vol. 1 No. 01 (2025): January
Publisher : Armari Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63215/Informatics.v1i1.11

Abstract

Penyakit yang menyebabkan kerugian hasil yang signifikan pada tanaman kentang adalah Phytophthora Infestans (busuk daun kentang) dan Alternaria Solani (busuk awal). Penyakit ini dapat dikenali secara visual karena memiliki karakteristik warna dan tekstur yang unik. Namun, pengawasan langsung memiliki beberapa kekurangan seperti subjektivitas dan akurasi. Melalui gambar, seseorang dapat mempelajari informasi tentang penyakit tanaman seperti tekstur dan warna. Pengolahan gambar adalah salah satu teknik yang paling banyak digunakan untuk mengobati dan mengklasifikasikan penyakit daun pada tanaman. Penelitian ini bertujuan untuk mengembangkan sistem deteksi dini penyakit pada tanaman kentang. Dalam studi ini, metode klasifikasi didasarkan pada fitur tekstur dari Gray Level Co-Occurrence Matrix. Proses ini dilakukan menggunakan K-Nearest Neighbor. Dari studi ini terbukti bahwa klasifikasi penyakit daun pada tanaman kentang dapat dilakukan menggunakan pengolahan gambar digital.
Sistem Pendukung Keputusan Rekomendasi Pemilihan Mobil Bekas Dengan Menggunakan Metode Moora di UD.Timur Mobil Angel Theresia Zari Pratama Dowa; Tri Ana Setyarini
Jurnal Ilmiah Teknik Informatika dan Komunikasi Vol. 5 No. 2 (2025): Juli: Jurnal Ilmiah Teknik Informatika dan Komunikasi
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/juitik.v5i2.1053

Abstract

Cars are one of the transportation facilities that is growing quite rapidly in Indonesia, along with the increasing number of people who need vehicles, namely cars because of comfort and safety. Prospective buyers or consumers face difficulties in selecting the right car that fits the desired criteria because prospective buyers are faced with many criteria. Therefore, a system or application is needed that can help customers make decisions about choosing a used car. This decision support system for selecting used car recommendations was created on a website basis to assist buyers or consumers in managing and obtaining information related to the decisionmaking system in selecting used cars. In this research, the application was built using the Moora method, which is one method that can be used to assist the decisionmaking process in a decision support system. This method produces ranking data on alternative types of used cars to determine the best alternative based on the ranking results. The final result expected from this research is to be able to provide solutions to consumers to determine the decision on a used car that suits the consumer's wishes with the criteria that have been determined.
Co-Authors Angel Theresia Zari Pratama Dowa Jekonia Nelchika Titing Murni Ardiningsih Putri Yali