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All Journal CAUCHY: Jurnal Matematika Murni dan Aplikasi Jurnal Online Mahasiswa (JOM) Bidang Matematika dan Ilmu Pengetahuan Alam Journal of the Indonesian Mathematical Society SITEKIN: Jurnal Sains, Teknologi dan Industri Menara Riau: Jurnal Ilmu Pengetahuan dan Pengembangan Masyarakat Islam Eduma : Mathematics Education Learning and Teaching KLIK (Kumpulan jurnaL Ilmu Komputer) (e-Journal) International Journal of Computing Science and Applied Mathematics Computer Science and Information Technologies Asimetris: Pendidikan Matematika dan Sains Jurnal Diferensial Mathematics and Applications (MAp) Journal Jurnal Teknologi dan Manajemen Industri Terapan Lattice Journal : Journal of Mathematics Education and Applied Al-Aqlu : Jurnal Matematika, Teknik dan Sains
Sarbaini Sarbaini
Universitas Islam Negeri Sultan Syarif Kasim Riau
Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Medicine & Pharmacology Nursing Physics Public Health Social Sciences Transportation Other

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Implementasi Graf Kompatibel dalam mengurai Kemacetan dI Persimpangan terparah dI Pekanbaru Sarbaini Sarbaini; Windylia Saputri
Asimetris: Jurnal Pendidikan Matematika dan Sains Vol 5 No 1 (2024): Asimetris: Jurnal Pendidikan Matematika dan Sains
Publisher : Pendidikan Matematika Universitas Almuslim

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51179/asimetris.v5i1.2451

Abstract

Terdapat satu simpang dengan kepadatan lalu lintas tinggi di Kota Pekanbaru yaitu simpang Jalan Garuda Sakti-Kubang. Manajemen lalu lintas diperlukan untuk mengurangi kemacetan, hal ini juga menjadi tujuan  penelitian ini. Salah satu teknik yang dapat digunakan adalah Graf Kompatibel dan metode Webster. Graf kompatibel terdiri dari dua himpunan sisi yang menunjukkan objek yang akan diatur dan pasangan objek yang kompatibel (sesuai). Penelitian ini menggunakan data primer yang menjadi objek penelitiannya ialah banyaknya kendaraan dan jumlah lajur di persimpangan Jalan Garuda Sakti-Kubang. Dengan penggunaan teori graf kompatibel didapat hasil durasi lampu lalu lintas yang optimal, yaitu untuk Jalan Garuda Sakti (utara), lampu merah berdurasi 48 detik, lampu kuning berdurasi 3 detik, lampu hijau berdurasi 11 detik, untuk Jalan Raya Pekan (timur), lampu merah berdurasi 48 detik, lampu kuning berdurasi 3 detik, lampu hijau berdurasi 11 detik, untuk Jalan Kubang Raya (selatan), lampu merah berdurasi 45 detik, lampu kuning berdurasi 3 detik, lampu hijau berdurasi 14 detik, terakhir untuk Jalan Raya Pekanbaru-Sungai Pagar (barat), lampu merah berdurasi 33 detik, lampu kuning berdurasi 3 detik, lampu hijau berdurasi 26 detik.
STUDENT GRADUATION PREDICTION USING DECISION TREE METHOD WITH C4.5 ALGORITHM Sarbaini Sarbaini; Fara Ulfa
JURNAL DIFERENSIAL Vol 6 No 1 (2024): April 2024
Publisher : Program Studi Matematika, Universitas Nusa Cendana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35508/jd.v6i1.12287

Abstract

One of the determinants of the quality of higher education is the percentage of student’s ability to complete their studies on time. However, in practice, few students can complete their studies in higher education on time. Graduation prediction is one of the things that can be done to increase student graduation so that early prevention or handling of students who have the opportunity to not graduate on time can be done. The aim of this research is to find out and analyze the use of the Decision Tree Method with the application of the C4.5 Algorithm to effectively predict student graduation on time. The data used is that of Mathematics students at UIN SUSKA RIAU's Faculty of Science and Technology. The decision tree was constructed using 150 training data and processed using the C4.5 algorithm to generate 40 rules, which were then tested using 150 data sets with an accuracy of 78.6667 percent and an AUC of 0.8363.
Forecasting the Number of Tuberculosis Patients Using Automatic Clustering And Fuzzy Logical Relationship Method Rahmawati Rahmawati; Sarbaini Sarbaini; Ade Novia Rahma; Tri Uci Lestari; Fitri Aryani
CAUCHY: Jurnal Matematika Murni dan Aplikasi Vol 8, No 2 (2023): CAUCHY: JURNAL MATEMATIKA MURNI DAN APLIKASI
Publisher : Mathematics Department, Universitas Islam Negeri Maulana Malik Ibrahim Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/ca.v8i2.18073

Abstract

Tuberculosis is an infectious disease caused by the bacterium Mycobacterium tuberculosis bacillus, which infects the lungs and can potentially cause death.  This study aims to predict the number of tuberculosis sufferers in Kampar Regency in 2022. The method used is the automatic clustering and fuzzy logical relationship method. The data analyzed is secondary data obtained from the Kampar District Health Office from 2017 to 2021. From the results of the analysis carried out using the automatic clustering and fuzzy logical relationship method, it was obtained to forecast the number of tuberculosis patients in 2022, as many as  944 people with MAPE of 0.0882%, the accuracy of forecasting results of 99.9118%, and an increase in the number of tuberculosis sufferers from 2021 to 2022 as many as 4 people.
Co-Authors Ade Novia Rahma Arif Marsal Asmara Karma Astri Ayu Purwati Devi Yanti Eka Pandu Cynthia Elfira Safitri Fara Ulfa Fitri Aryani Fitriani Muttakin Fitriani Muttakin Fitriani Muttakin Ganesha L Putra Imran M. Kartika Nadim Fatwa M Imam Arifandy M. Imam Arifandy Muhammad Isnaini Hadiyul Umam Muhammad Luthfi Hamzah Nazaruddin Nazaruddin Prasetyo, Tegar Rianjaya, Ilham Dangu Rudy Chandra Salman A.N.M. SIAGIAN, WESLY MAILANDER Sutoyo Sutoyo Tahan HJ Sihombing Tri Uci Lestari Vera Devani Windylia Saputri Yulia Aiza Zukrianto, Zukrianto