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All Journal Jurnal Peluang INDONESIAN JOURNAL OF PHARMACY Jurnal Ilmiah Mahasiswa Pendidikan Matematika Benchmarking: Jurnal Manajemen Pendidikan Islam Buletin Eboni METIK JURNAL Indonesian Journal of Clinical Pathology and Medical Laboratory (IJCPML) Jurnal Geuthee Indian Journal of Forensic Medicine & Toxicology Jurnal Lingkar Mutu Pendidikan Land Journal Prosiding Seminar Nasional COSMIC Kedokteran Majelis: Jurnal Hukum Indonesia Jurnal Lingkar Mutu Pendidikan
Suhartati Suhartati
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Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Other

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Journal : Jurnal Geuthee

 1 
ANALISIS DISKRIMINAN UNTUK MENCARI TINGGI RENDAHNYA RATA-RATA HASIL BELAJAR MAHASISWA MATEMATIKA BERDASARKAN TEMPAT TINGGAL M Hasbi; Suhartati Suhartati; Suryawati Suryawati; Mukhlis Hidayat
Jurnal Geuthèë: Penelitian Multidisiplin Vol 1, No 1 (2018): Jurnal Geuthee : Penelitian Multidisiplin
Publisher : Geuthèë Institute, Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (344.678 KB) | DOI: 10.52626/jg.v1i1.7

Abstract

Penelitian ini merupakan penelitian tentang hasil belajar mahasiswa matematika berdasarkan tempat tinggal. Pengumpulan data dilakukan dengan cara mengedarkan angket kepada setiap mahasiswa matematika di empat universitas yang berbeda. Data mentah yang telah dikumpulkan terlebih dahulu dinormalkan menggunakan log kemudian dianalisis menggunakan discriminan fisher melalui aplikasi SPSS. Variabel dependen dalam penelitan ini adalah tinggi rendahnya hasil belajar mahasiswa matematika, sedangkan variabel independen terdapat 10 faktor yang dapat mempengaruhi tinggi rendahnya hasil belajar mahasiswa matematika berdasarkan tempat tinggalnya. Hasil yang diperoleh dalam penelitian ini dari 100 sampel yaitu 14 dari 30 sampel yang bertempat tinggal di rumah, 11 dari 30 sampel di kos, dan 20 dari 40 sampel di dayah mendapatkan hasil belajar yang tinggi. Artinya, 45 sampel yang memiliki hasil belajar yang tinggi berdasarkan tiga tempat tinggal. Sedangkan 55 sampel lainnya memiliki nilai yang rendah. Fungsi diskriminan fisher yang terbentuk adalah: P1 = (-0.325)X1 + (3.192)X2 + (6.199)X3 + (1.429)X4 + (3.448)X5 + (7.559)X6 + (1.251)X7 + (2.612)X8 + (1.823)X9 + (35.362)X10 P2 = (-0.308)Y1 + (2.899)Y2 + (6.071)Y3 + (0.567)Y4 + (3.187)Y5 + (6.411)Y6 + (0.560)Y7 + (2.088)Y8 + (2.025)Y9 + (33.879)Y10 P3 = (-0.684)Z1 + (2.623)Z2 + (4.809)Z3 + (1.983)Z4 + (4.961)Z5 + (5.609)Z6 + (-0.344)Z7 + (2.745)Z8 + (1.925)Z9 + (34.731)Z10 Discriminant Analysis To Calculate High Low Average of Learning Mathematical Students Based on Residence This research is a research about the result of student learning mathematics based on residence. Data collection was done by circulating questionnaires to each mathematics student at four different universities. The raw data that has been collected is normalized using logs and then analyzed using discriminant fisher through SPSS application. The dependent variable in this research is the high of the mathematics student learning result, while the independent variable there are 10 factors that can influence the high of the mathematics student learning result based on their place of residence. The results obtained in this study from 100 samples are 14 out of 30 samples residing at home, 11 out of 30 samples in boarding house, and 20 out of 40 samples in dayah get high learning result. That is, 45 samples that have high learning outcomes based on three dwellings. While 55 other samples have low value. The function of the fisher discriminant formed is: P1 = (-0.325)X1 + (3.192)X2 + (6.199)X3 + (1.429)X4 + (3.448)X5 + (7.559)X6 + (1.251)X7 + (2.612)X8 + (1.823)X9 + (35.362)X10 P2 = (-0.308)Y1 + (2.899)Y2 + (6.071)Y3 + (0.567)Y4 + (3.187)Y5 + (6.411)Y6 + (0.560)Y7 + (2.088)Y8 + (2.025)Y9 + (33.879)Y10 P3 = (-0.684)Z1 + (2.623)Z2 + (4.809)Z3 + (1.983)Z4 + (4.961)Z5 + (5.609)Z6 + (-0.344)Z7 + (2.745)Z8 + (1.925)Z9 + (34.731)Z10
Classification of Nek Ali Coffee’s customers using the fishers method Khairul Umam; Suhartati Suhartati; M Hasbi; Dwi Fadhiliani; Annisa Dewi
Jurnal Geuthèë: Penelitian Multidisiplin Vol 6, No 3 (2023): Jurnal Geuthèë: Penelitian Multidisiplin
Publisher : Geuthèë Institute, Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52626/jg.v6i3.264

Abstract

 This study uses discriminant analysis which aims to determine a model or formula that determines consumer groups who are interested in powdered, coffee bean, or instant coffee variants from several influencing variables, including coffee caffeine content, sugar content contained in coffee, coffee roasting level, quality coffee, coffee price, consumer age, consumer health, time of day consumer activity, and durability. The subjects of this research were the consumers of Nek Ali's Coffee with a total of 82 samples. The data obtained in this study were analyzed using discriminant analysis of three groups, namely the consumer group who are interested in coffee powder, coffee beans, and instant coffee. This study uses Discriminant Fisher's through SPSS software, the discriminant model or formula is obtained, as follows:Y1 = (0.08)X1 + (0.948)X2 + (0.332)X3 + (0.633)X4 + (0.576)X5 – (0.003)X6 + (1.825)X7 – (1.140)X8 = 0Y2 = (0.012)X1 + (0.868)X2 + (0.351)X3 + (0.591)X4 + (0.621)X5 – (0.002)X6 + (1.841)X7 – (0.592)X8 = 0Y3 = (0.081)X1 + (0.944)X2 + (0.349)X3 + (0.607)X4 + (0.581)X5 – (0.002)X6 + (1.971)X7 – (0.592)X8 = 0 
Co-Authors Achmad Basori, Achmad Annisa Dewi Asya Masrurah Cut Morina Zubainur Dwi Fadhiliani Florence Pribadi Gwenny I.P Gwenny IP Hanik Badriyah Hidayati,* Mohammad Hasan Machfoed,* Kuntoro,** Soetojo,*** Budi Santoso,**** Suroto,***** Budi Utomo****** Harianto N HERAWATI, LILIK Humairah, Ira Jaka Maulana Jannatul Alyana khairul Umam Lana Sunarto Lukitasari, Lina M Hasbi M Hasbi Mukhlis Hidayat Nurmiati Nurmiati Pratika Yuhyi Hernanda Rejeki, Purwo Sri Reza Arta BN Siti Khaerunnisa Siti Khaerunnisa Suciati Suciati Sukina B Suryawati Suryawati Susi Wahyuning Asih Sutji Kuswarini Syahfitri Nur Afifah Yeyen Dwi Atma