Penerapan Metode Multi Factor Evaluation Process Dalam Rekomendasi Maskapai Penerbangan

Budihartanti, Cahyani; Dewi, Yumi Novita; Purnamasari, Indah

doi:10.52362/jisicom.v5i1.466

Cited by 2 publications

(3 citation statements)

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“…Penelitian tentang penentuan produk minyak goring kemasan dikalangan masyarakat, hasil dari peroses MFEP dapat menjadi sebuah system pendukung keputusan dalam menentukan produk mana yang paling laku dan baik di kalangan masyarakat [6]. Penelitian tentang rekomendasi maskapai penerbangan dengan MFEP menghasilkan garuda Indonesia merupakan maskapai penerbangan yang akan direkomendasi dengan nilai tertinggi yaitu 4.264 [7].…”

Section: Pendahuluanunclassified

Implementation of the Multifactor Evaluation Process Method for the Eligibility of Providing Advanced Teacher Professional Allowances at the Education Office of Asahan Regency

Hasibuan¹,

Ramdhan²,

Kifti³

2022

J. Tek. Inform. (JUTIF)

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The teacher certification program is a way to improve the quality of teachers so that the quality of education is increasing. Where the performance appraisal process for each certification teacher is carried out every six months, namely by providing a report that is assessed by the teacher certification/standardization worker team, where the teacher performance appraisal report is still carried out in file collection and archived so as to allow for inaccuracies in the data and values given so that it This will affect the selection of teacher certification eligibility. The method used in this research is the MFEP method which is one of the methods of decision support systems. This method was chosen because it is more efficient than other methods included in the completion of Multi Attribute Decision Making (MADM). Utilization of MFEP requires a relatively shorter calculation time. Based on this, in selecting the feasibility of providing teacher professional allowances or teacher certification, it is necessary to build a decision support system design for the feasibility of providing advanced teacher professional allowances at the Asahan District Education Office. The results obtained are the highest preference score of 4,435 named Siti Khairani Butar-Butar and the results of the system implementation can help performance in the selection of certification teachers. So it can be concluded that this system can provide convenience in obtaining assessment results effectively on a decision support system for the feasibility of providing advanced teacher professional allowances at the Asahan District Education Office.

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Section: Pendahuluanunclassified

Implementation of the Multifactor Evaluation Process Method for the Eligibility of Providing Advanced Teacher Professional Allowances at the Education Office of Asahan Regency

Hasibuan¹,

Ramdhan²,

Kifti³

2022

J. Tek. Inform. (JUTIF)

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“…MFEP juga dapat membuat keputusan dengan memberikan weighting system dari setiap factor (Lu et al, 2018;Zhou et al, 2022) dengan bobot berkisar dari 0 sampai 1 (Jiang et al, 2019;Ullah et al, 2020). Budihartanti et al (2021) menerapkan metode MFEP untuk merekomentasi maskapai penerbangan. Temuan mereka menunjukkan Garuda Indonesia adalah maskapai terbaik dari dari sisi fasilitas, pelayanan, dan kenyamanan dengan Weight evaluation sebesar 1.195. sementara itu, Fazri (2021) dalam temuan menunjukkan bahwa dengan metode MFEP kinerja kolektor dalam pengumpulan data kredit motor sudah efektif dengan empat kriteria yaitu kehadiran, kerajinan, kinerja, dan kejujuran dengan bobot sebesar 4,40.…”

Section: Pendahuluanunclassified

“…Temuan kami relevan dengan hasil telah dilakukan penelitian sebelumnya (Budihartanti et al, 2021;Fazri, 2021;Rahadjeng et al, 2022). Dimana hasil temuan mereka bahwa sistem pendukung keputusan yang telah mereka terapkan menggunaka metode MFEC dapat digunakan sebagai pertimbangan dalam mengambil keputusan di dalam organisasi terkait dengan menentuan maskapai penerbangan, kinerja kolektor dan aplikasi chatting.…”

Section: Klik Tombol Simpanunclassified

Sistem Penentuan Pemberian Surat Izin Gangguan pada Industri menggunakan Multi Factor Evaluation Process

Nadila¹,

Dalimuthe²,

Afandi³

2022

Edumatic

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Establishing a business or industrial place must obtain a permit from the government which aims to protect the surrounding community to be protected from the possibility of disturbance or pollution caused by the industry. Therefore, in order to achieve this, it is necessary to have a system that automatically provides accurate and quick decisions in determining which company or industry is worthy of being granted a business license. The purpose of this study is to build a decision support system in determining business premises or industry hinder ordonantie permits using the Multi-Factor Evaluation Process (MFEP) method. This research stage consists of analysis, design, testing, and implementation adopted from the waterfall model. Data collection was carried out by interviews and observations. The data analysis technique used is the MFEP method to determine the final decision in granting nuisance permits to companies or industries. Samples or training data totaling 30 industry names in the Asahan Regency area. This system is tested with a black box which aims to find out if all components in the system are running well. Our findings show that the system we have created is appropriate based on the results of the analysis using the MFEP method. In addition, the results of black box testing show that all components in this system are valid and functioning properly.

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Penerapan Metode Multi Factor Evaluation Process Dalam Rekomendasi Maskapai Penerbangan

Cited by 2 publications

References 1 publication

Implementation of the Multifactor Evaluation Process Method for the Eligibility of Providing Advanced Teacher Professional Allowances at the Education Office of Asahan Regency

Implementation of the Multifactor Evaluation Process Method for the Eligibility of Providing Advanced Teacher Professional Allowances at the Education Office of Asahan Regency

Sistem Penentuan Pemberian Surat Izin Gangguan pada Industri menggunakan Multi Factor Evaluation Process

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