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PEMILIHAN PROPOSAL KEGIATAN MAHASISWA WIRAUSAHA MERDEKA TERBAIK MENGGUNAKAN METODE MOORA Febri Ramadan Nasution; Deci Irmayani; Volvo Sihombing
Jurnal Tekinkom (Teknik Informasi dan Komputer) Vol 5 No 2 (2022)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/tekinkom.v5i2.608

Abstract

Entrepreneurial activities in the student environment create business opportunity activities through needs and market analysis. The form of entrepreneurial activity is a direct practice of entrepreneurial learning that has been carried out in a planned and programmed manner, products and services are a manifestation of this program. Based on this, this activity is expected to generate entrepreneurs among students who are able to provide jobs. This study aims to design a decision support system (DSS) for selecting the best independent entrepreneur student activity proposals using the MOORA method. The criteria used are administration, type of business, business location, business plan presentation, and interviews. The three best proposals obtained from the results of this study include: the 1st place was won by the PMWM_01 group with a score of 0.37971, the 2nd place was the PMWM_06 group with a score of 0.37316, and the 3rd place was the PMWM_03 group with a score of 0.37085.
SISTEM PENDUKUNG KEPUTUSAN UNTUK MENENTUKAN PENERIMA BEASISWA MENGGUNAKAN METODE ELECTRE Betaria Sonata Sianturi; Volvo Sihombing; Ibnu Rasyid Munthe
Jurnal Tekinkom (Teknik Informasi dan Komputer) Vol 5 No 2 (2022)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/tekinkom.v5i2.684

Abstract

This study aims to address the problem of determining whether or not students are eligible to receive scholarships at SMP Pembangunan Bagan Batu. Determination of scholarship recipients is done by building a computer-based decision support system that helps make it easier to determine students who are entitled to get the scholarship. Decision support system built using the Electre method. The criteria used in the DSS Electre Method consist of the Average Student Report Card Score, Total Parental Income, Total Dependents of Parents, Total Achievements of the student with a weight of 3,3,2,2 for each criterion. The final result of the DSS Electre method is a recommendation through favorable matrix data which is determined based on the highest number of 1s. The results of this research case study, alternatives with a value of at least 1 can be eliminated. The biggest score was obtained by Alternative Siswa_01 with the highest score of 1.
Penggunaan Metode Elimination Et Choix Traduisant La Realite (ELECTRE) untuk Menentukan Penerima Beasiswa M. Ary Pratama; Volvo Sihombing; Deci Irmayani
JUSTIN (Jurnal Sistem dan Teknologi Informasi) Vol 10, No 1 (2022)
Publisher : Jurusan Informatika Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (2043.569 KB) | DOI: 10.26418/justin.v10i1.44933

Abstract

Penelitian ini bertujuan untuk membantu pihak Fakultas Sains dan Teknologi Universitas Labuhanbatu dalam pengambilan keputusan penentuan kelayakan mahasiswa untuk menerima beasiswa peningkatan prestasi akademik. Penentuan  penerimaan beasiswa ini dilakukan dengan membangun sebuah sistem pendukung keputusan yang membantu mempermudah dalam menentukan mahasiswa yang berhak untuk mendapatkan beasiswa tersebut. Sistem pendukung keputusan yang dibangun menggunakan metode Electre. Kriteria yang digunakan dalam SPK Metode Electre ini terdiri dari indeks prestasi mahasiswa, penghasilan orang tua, jumlah tanggungan orang tua, jumlah sertifikat prestasi. Masing-masing kriteria diberi bobot dengan perbandingan 5, 2, 2, 1. Hasil akhir dari SPK metode Electre ini adalah rekomendasi melalui data rangking yang ditentukan berdasarkan jumlah angka 1 terbanyak. Hasil dari studi kasus dalam penelitian ini, diperoleh alternatif dengan nilai 1 terbanyak didapatkan oleh alternatif Mhs_007, dan alternatif dengan nilai 1 paling sedikit dapat dieleminasi.
SISTEM PENDUKUKUNG KEPUTUSAN PEMILIHAN BARBERSHOP TERBAIK DENGAN MENGGUNAKAN METODE MOORA Yarma Agustya Dewi Utami; Deci Irmayani; Volvo Sihombing
Jurnal Tekinkom (Teknik Informasi dan Komputer) Vol 6 No 2 (2023)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/tekinkom.v6i2.696

Abstract

Barbershops play a crucial role in maintaining appearance and hairstyles in this modern era. With the continued growth of barbershop businesses in the Bagan Batu area, prospective customers often face challenges in selecting the best barbershop that suits their needs. Therefore, a study was conducted to address the issues faced by potential customers in choosing the best barbershop in the Bagan Batu area. This research involved the development of a Decision Support System (DSS) using the Multi-Objective Optimization by Ratio Analysis (MOORA) method. The criteria considered in this research include location, price, quality, cleanliness, and reputation, each assigned a weight of 0.1; 0.25; 0.25; 0.2; and 0.2, respectively. The data processing results using the MOORA method in this study identified the top 3 barbershop alternatives, namely A6, A8, and A5, with preference values of 0.28945, 0.28135, and 0.28130, respectively. Based on this research, it can be concluded that the Decision Support System using the MOORA method can efficiently assist potential consumers in choosing a barbershop and facilitate the decision-making process in selecting the best barbershop for the Bagan Batu community.
SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN PELATIH KEGIATAN EKSTRAKURIKULER MENGGUNAKAN METODE MOOSRA Arya Widana; Volvo Sihombing; Ibnu Rasyid Munthe
Jurnal Tekinkom (Teknik Informasi dan Komputer) Vol 6 No 2 (2023)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/tekinkom.v6i2.1018

Abstract

This research aims to solve the problem of selecting extracurricular coaches. To assist the Faculty of Science and Technology at Labuhanbatu University in selecting trainers for extracurricular activities, a Decision Support System was designed using the MOOSRA (Multi-Objective Optimization based on Ratio Analysis) method. The Decision Support System (DSS) using the MOOSRA method was implemented to increase objectivity and efficiency in selecting trainers. Research methods include preliminary studies, determining criteria (experience, achievement, academics, skills, leadership), and data collection. MOOSRA is used to optimize decisions based on criteria. The ranking results show the three best coaches: Coach02, Coach08, and Coach07. The existence of this decision support system can help make it easier for the Faculty of Science and Technology, Labuhanbatu University, to select extracurricular trainers more quickly and efficiently so that they can support and increase effectiveness in supervising student extracurricular activities.