Implementasi Moora Berbasis Web pada Penentuan Kelayakan Penerima Bantuan Siswa Miskin

Penulis

  • Aron Saputra Sirait STIKOM Tunas Bangsa
  • M. Safii STIKOM Tunas Bangsa
  • Indra Gunawan STIKOM Tunas Bangsa

DOI:

https://doi.org/10.54259/satesi.v1i1.2

Kata Kunci:

DSS, Moora, Poor Students, Minimum Calculation, Multi-objective System

Abstrak

The Poor Student Assistance Program (BSM) is an aid from the government with the aim that poor children who excel are able to continue schooling. So that in order to minimize this assistance can be channeled properly on target, it is necessary to conduct a fairly strict selection based on the criteria that have been set. This study proposes the use of the website-based Moora method to overcome this problem. The MOORA method is very simple, stable, and powerful, even this method does not require an expert in mathematics to use it and does not require complicated mathematical calculations. The BSM assistance that will be discussed in this research is SD NEGERI 127696 Pematangsiantar City using 7 criteria, namely: Parent's Occupation, Income, Number of Dependents, Attendance, Last Semester Grades, Academic Achievement and Personality. The sample data used were 18 students. This study resulted in the highest value alternative on behalf of Ade Putri Mekaria Laila with an Optimization value of 2.22692. So it can be concluded that the Moora method can be used as a decision support method in the selection of BSM recipients.

Unduhan

Data unduhan belum tersedia.

Referensi

O. S. Purwaningrum, “Penerapan Metode Fuzzy Tsukamoto Dan Ahp Untuk Sistem Pendukung Keputusan Bantuan Siswa Miskin Pada Smk Muhammadiyah 1 Lamongan,” Jurnal Mahasiswa Fakultas Teknik (J-TIIES), vol. 1, no. 1, p. 6, 2017.

F. Fitriani, “The Role of the Education Office in the Formulation of the Implementation of Prevention of Children Prone To Drop Out in the City of Pekanbaru 2013 - 2015,” Jurnal Online Mahasiswa Fakultas Ilmu Sosial dan Ilmu Politik Universitas Riau, vol. 5, no. 1, pp. 1–13, 2018.

A. Wanto and E. Kurniawan, “Seleksi Penerimaan Asisten Laboratorium Menggunakan Algoritma AHP Pada AMIK-STIKOM Tunas Bangsa Pematangsiantar,” Jurnal Informatika dan Komputer (JIKO), vol. 3, no. 1, pp. 11–18, 2018.

M. Widyasuti, A. Wanto, D. Hartama, and E. Purwanto, “Rekomendasi Penjualan Aksesoris Handphone Menggunakan Metode Analitycal Hierarchy Process (AHP),” Konferensi Nasional Teknologi Informasi dan Komputer (KOMIK), vol. I, no. 1, pp. 27–32, 2017.

M. Masitha, D. Hartama, and A. Wanto, “Analisa Metode (AHP) pada Pembelian Sepatu Sekolah Berdasarkan Konsumen,” Seminar Nasional Sains & Teknologi Informasi (SENSASI), vol. 1, no. 1, pp. 338–342, 2018.

V. V. Sianipar, A. Wanto, and M. Safii, “Decision Support System for Determination of Village Fund Allocation Using AHP Method,” The IJICS (International Journal of Informatics and Computer Science) ISSN, vol. 4, no. 1, pp. 20–28, 2020.

A. P. R. Pinem, H. Indriyawati, and B. A. Pramono, “Sistem Pendukung Keputusan Penentuan Lokasi Industri Berbasis Spasial Menggunakan Metode MOORA,” JATISI (Jurnal Teknik Informatika dan Sistem Informasi), vol. 7, no. 3, pp. 639–646, 2020.

N. W. A. Ulandari, N. L. G. P. Suwirmayanti, and N. M. Astiti, “Implementasi Metode MOORA pada Proses Seleksi Beasiswa Bidikmisi di Institut Teknologi dan Bisnis STIKOM Bali,” Jurnal Eksplora Informatika, vol. 10, no. 1, pp. 53–58, 2020.

S. B. Rane, P. R. Potdar, and S. Rane, “Data-driven fleet management using MOORA: a perspective of risk management,” Journal of Modelling in Management, vol. 16, no. 1, pp. 310–338, 2021.

P. Alkhairi, L. P. Purba, A. Eryzha, A. P. Windarto, and A. Wanto, “The Analysis of the ELECTREE II Algorithm in Determining the Doubts of the Community Doing Business Online,” Journal of Physics: Conference Series, vol. 1255, no. 1, pp. 1–7, 2019.

D. R. Sari, N. Rofiqo, D. Hartama, A. P. Windarto, and A. Wanto, “Analysis of the Factors Causing Lazy Students to Study Using the ELECTRE II Algorithm,” Journal of Physics: Conference Series, vol. 1255, no. 1, pp. 1–6, 2019.

D. M. Sinaga, R. R, R. Alfah, A. P. Windarto, and A. Wanto, “Jurnal Sains dan Informatika,” Jurnal Sains dan Informatika, vol. 5, no. 2, pp. 129–135, 2018.

P. P. P. A. N. . F. I. R.H Zer, Masitha, A. P. Windarto, and A. Wanto, “Analysis of the ELECTRE Method on the Selection of Student Creativity Program Proposals,” Journal of Physics: Conference Series, vol. 1255, no. 1, pp. 1–6, Aug. 2019.

R. Simarmata, R. W. Sembiring, R. Dewi, A. Wanto, and E. Desiana, “Penentuan Masyarakat Penerima Bantuan Perbaikan Rumah di Kecamatan Siantar Barat Menggunakan Metode ELECTRE,” Journal of Computer System and Informatics (JoSYC), vol. 1, no. 2, pp. 68–75, 2020.

S. Sundari, A. Wanto, Saifullah, and I. Gunawan, “Sistem Pendukung Keputusan Dengan Menggunakan Metode Electre Dalam Merekomendasikan Dosen Berprestasi Bidang Ilmu Komputer (Study Kasus di AMIK & STIKOM Tunas Bangsa),” in Seminar Nasional Multi Disiplin Ilmu, 2017, pp. 1–6.

L. P. Purba, A. P. Windarto, and A. Wanto, “Faktor Terbesar Rendahnya Minat Ber-KB (Keluarga Berencana) dengan Metode ELECTRE II,” Seminar Nasional Sains & Teknologi Informasi (SENSASI), vol. 1, no. 1, pp. 369–374, 2018.

S. Sundari, S. M. Sinaga, I. S. Damanik, and A. Wanto, “Sistem Pendukung Keputusan Pemilihan Peserta Olimpiade Matematika SMA Swasta Teladan Pematangsiantar Dengan Metode Electre,” in Seminar Nasional Teknologi Komputer & Sains (SAINTEKS), 2019, pp. 793–799.

S. R. Ningsih, D. Hartama, A. Wanto, I. Parlina, and Solikhun, “Penerapan Sistem Pendukung Keputusan Pada Pemilihan Objek Wisata di Simalungun,” in Seminar Nasional Teknologi Komputer & Sains (SAINTEKS), 2019, pp. 731–735.

R. N. Sari and R. S. Hayati, “Penerapan Metode Multi Attribute Utility Theory (MAUT) Dalam Pemilihan Rumah Kost,” J-SAKTI (Jurnal Sains Komputer dan Informatika), vol. 3, no. 2, pp. 243–251, 2019.

T. Limbong et al., Sistem Pendukung Keputusan: Metode & Implementasi, 1st ed. Yayasan Kita Menulis, 2020.

K. Fatmawati et al., “Analysis of Promothee II Method in the Selection of the Best Formula for Infants under Three Years,” in Journal of Physics: Conference Series, 2019, vol. 1255, no. 1, pp. 1–6.

T. Imandasari, A. Wanto, and A. P. Windarto, “Analisis Pengambilan Keputusan Dalam Menentukan Mahasiswa PKL Menggunakan Metode PROMETHEE,” Jurnal Riset Komputer (JURIKOM), vol. 5, no. 3, pp. 234–239, 2018.

S. R. Ningsih, R. Wulansari, D. Hartama, A. P. Windarto, and A. Wanto, “Analysis of PROMETHEE II Method on Selection of Lecturer Community Service Grant Proposals,” Journal of Physics: Conference Series, vol. 1255, no. 1, pp. 1–6, Aug. 2019.

R. Watrianthos, W. A. Ritonga, A. Rengganis, A. Wanto, and M. Isa Indrawan, “Implementation of PROMETHEE-GAIA Method for Lecturer Performance Evaluation,” Journal of Physics: Conference Series, vol. 1933, no. 1, p. 012067, 2021.

R. Panggabean and N. A. Hasibuan, “Penerapan Preference Selection Index (PSI Dalam Sistem Pendukung Keputusan Pengangkatan Supervisor Housekeeping,” Rekayasa Teknik Informatika dan Informasi, vol. 1, no. 2, pp. 85–93, 2020.

T. Singh, S. Tejyan, A. Patnaik, R. Chauhan, and G. Fekete, “Optimal design of needlepunched nonwoven fiber reinforced epoxy composites using improved preference selection index approach,” Journal of Materials Research and Technology, vol. 9, no. 4, pp. 7583–7591, 2020.

S. Sundari, Karmila, M. N. Fadli, D. Hartama, A. P. Windarto, and A. Wanto, “Decision Support System on Selection of Lecturer Research Grant Proposals using Preferences Selection Index,” Journal of Physics: Conference Series, vol. 1255, no. 1, pp. 1–7, 2019.

P. Chen, “Effects of the entropy weight on TOPSIS,” Expert Systems with Applications, vol. 168, p. 114186, 2021.

R. A. Hutasoit, S. Solikhun, and A. Wanto, “Analisa Pemilihan Barista dengan Menggunakan Metode TOPSIS (Studi Kasus: Mo Coffee),” KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer), vol. 2, no. 1, pp. 256–262, 2018.

N. Nasution, G. W. Bhawika, A. Wanto, N. L. W. S. R. Ginantra, and T. Afriliansyah, “Smart City Recommendations Using the TOPSIS Method,” IOP Conference Series: Materials Science and Engineering, vol. 846, no. 1, p. 012028, May 2020.

T. Imandasari, M. G. Sadewo, A. P. Windarto, A. Wanto, H. O. Lingga Wijaya, and R. Kurniawan, “Analysis of the Selection Factor of Online Transportation in the VIKOR Method in Pematangsiantar City,” Journal of Physics: Conference Series, vol. 1255, no. 1, pp. 1–7, 2019.

N. Rofiqo, A. P. Windarto, and A. Wanto, “Penerapan Metode VIKOR Pada Faktor Penyebab Rendahnya Minat Mahasiswa Dalam Menulis Artikel Ilmiah,” Seminar Nasional Sains & Teknologi Informasi (SENSASI), vol. 1, no. 1, pp. 228–237, 2018.

J. Hu, X. Zhang, Y. Yang, Y. Liu, and X. Chen, “New doctors ranking system based on VIKOR method,” International Transactions in Operational Research, vol. 27, no. 2, pp. 1236–1261, 2020.

National Highway Traffic Safety Administration. 2006. Countermeasures That Work: A Highway Safety Countermeasure Guide For State Highway Safety Offices. NHTSA Report Number DOT HS 809 980, pp. II-4-II-5.

Stewart and Arora, The Safety Effectiveness of Light-Duty Moto Vehicles Occupant Restraints: Salihat, Ing kurnia,. Hubungan Persepsi risiko Keselamatan berkendara Dengan Perilaku Penggunaan Sabuk Keselamatan Pada Mahasiswa Universitas Indonesia Kampus Depok tahun 2009.

Diterbitkan

2021-09-10

Cara Mengutip

Sirait, A. S., Safii, M., & Gunawan, I. (2021). Implementasi Moora Berbasis Web pada Penentuan Kelayakan Penerima Bantuan Siswa Miskin. SATESI: Jurnal Sains Teknologi Dan Sistem Informasi, 1(1), 7–14. https://doi.org/10.54259/satesi.v1i1.2

Terbitan

Bagian

Articles