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All Journal Jurnal Statistika Universitas Muhammadiyah Semarang PYTHAGORAS: Jurnal Program Studi Pendidikan Matematika Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Indonesian Journal of Applied Statistics BAREKENG: Jurnal Ilmu Matematika dan Terapan Jambura Journal of Mathematics METIK JURNAL Jurnal Matematika UNAND Variance : Journal of Statistics and Its Applications ILKOMNIKA: Journal of Computer Science and Applied Informatics Jurnal Statistika dan Aplikasinya JAMBURA JOURNAL OF PROBABILITY AND STATISTICS Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi Research in the Mathematical and Natural Sciences Prosiding Seminar Nasional Pendidikan Matematika, Universitas Mulawarman Pattimura International Journal of Mathematics (PIJMath) Jurnal Riset Mahasiswa Matematika The Indonesian Journal of Computer Science Journal of Mathematics, Computation and Statistics (JMATHCOS) Indonesian Journal of Computational and Applied Mathematics

Isran K Hasan

Universitas Negeri Gorontalo

Author-ID : 2614120

Agriculture, Biological Sciences & Forestry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Mathematics Mechanical Engineering Physics Social Sciences Transportation Other

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ANALISIS SURVIVAL MENGGUNAKAN REGRESI WEIBULL PADA LAJU KESEMBUHAN PASIEN TUBERKULOSIS PARU DI RSUD ALOEI SABOE KOTA GORONTALO Isran K Hasan; Winni A. Pakaya; Novianita Achmad; Dewi Rahmawaty Isa
Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi EULER: Volume 9 Issue 1 June 2021
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34312/euler.v9i1.10758

This study was aimed at discussing survival analysis in Pulmonary Tuberculosis patients in Aloei Saboe using Weibull regression to find out the factors that influence the patient’s recovery rate. To analyze the survival time, the Kaplan-Meier curve is used then the process continues into Log-Rank Test to see the differences between groups in a curve. Weibull Regression is used to determine the significant factors based on a log-rank test in the rate of recovery of Pulmonary Tuberculosis patients. The results of the study concluded age, shortness of breath, fever, cough, history of illness and smoking habits are factors that significantly influence the rate of recovery of Pulmonary Tuberculosis patients.

Bilangan Terhubung Titik Pelangi pada Graf Hasil Operasi Korona Graf Prisma (P_(m,2)) dan Graf Lintasan (P_3) Indrawati Lihawa; Sumarno Ismail; Isran K Hasan; Lailany Yahya; Salmun K Nasib; Nisky Imansyah Yahya
Jambura Journal of Mathematics Vol 4, No 1: January 2022
Publisher : Department of Mathematics, Universitas Negeri Gorontalo

Rainbow vertex-connection number is the minimum k-coloring on the vertex graph G and is denoted by rvc(G). Besides, the rainbow-vertex connection number can be applied to some special graphs, such as prism graph and path graph. Graph operation is a method used to create a new graph by combining two graphs. Therefore, this research uses corona product operation to form rainbow-vertex connection number at the graph resulting from corona product operation of prism graph and path graph (Pm,2 P3) (P3 Pm,2). The results of this study obtain that the theorem of rainbow vertex-connection number at the graph resulting from corona product operation of prism graph and path graph (Pm,2 P3) (P3 Pm,2) for 3 = m = 7 are rvc (G) = 2m rvc (G) = 2.

Perbandingan Model ARCH (1) dan GARCH (1,1) Ditinjau dari Perilaku Kurtosis dan Fungsi Autokorelasi Isran K Hasan; Ismail Djakaria; Demas Novaleda Abdul Karim
Jambura Journal of Mathematics Vol 2, No 2: Juli 2020
Publisher : Department of Mathematics, Universitas Negeri Gorontalo

Tulisan ini membahas tentang perbandingan model ARCH (1) dan GARCH (1,1) dengan melihat perilaku kurtosis dan fungsi autokorelasi baik secara analitik maupun menggunakan simulasi. Metode yang digunakan adalah studi literatur. Hasil yang diperoleh menunjukkan bahwa secara analitik kedua model memiliki kurtosis lebih dari tiga yang berarti model tersebut merupakan model dengan distribusi ekor tebal serta kedua model tersebut mempunyai fungsi autokorelasi return kuadrat yang turun secara perlahan. Hasil simulasi numerik perbandingan MSE nilai kurtosis data dan kurtosis model menunjukkan bahwa model GARCH (1,1) memiliki MSE terkecil dengan nilai 3,702. Selanjutnya, hasil numerik perbandingan MSE untuk fungsi autokorelasi diperoleh GARCH (1,1) memiliki MSE terkecil pada dua data yaitu SMGR.JK dan JMSR.JK masing masing memiliki nilai 0,0025 dan 0,0015, sedangkan untuk data MNCN.JK MSE terkecilnya adalah model ARCH (1) dengan distribusi dengan nilai 0,0048.

Perbandingan K-Nearest Neighbor dan Random Forest dengan Seleksi Fitur Information Gain untuk Klasifikasi Lama Studi Mahasiswa Isran K Hasan; Resmawan Resmawan; Jefriyanto Ibrahim
Indonesian Journal of Applied Statistics Vol 5, No 1 (2022)
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/ijas.v5i1.58056

Accreditation is a quality and feasibility assessment form in carrying out higher education. One of the factors that affect accreditation is the length of student study. In this study, the length of student study is classified by using the best attributes resulting from selecting information gain features. In optimizing the classification algorithm, we process the data by converting the original data into data that is ready to be mined. The next step is dividing the data into training and testing data so that the classification algorithm can be applied. This study gives the best four attributes, with K-nearest neighbor (K-NN) classification of 86.67% and random forest classification of 100%.Keywords: length of study; information gain; K-nearest neighbor; random forest

Perbandingan Model Hybrid ARIMA-NN dan Hybrid ARIMA-GARCH untuk Peramalan Data Nilai Tukar Petani di Provinsi Gorontalo Isran K. Hasan; Ismail Djakaria
Jurnal Statistika dan Aplikasinya Vol 5 No 2 (2021): Jurnal Statistika dan Aplikasinya
Publisher : Program Studi Statistika FMIPA UNJ

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/JSA.05204

Nilai Tukar Petani (NTP) adalah salah satu penanda tingkat kesejahteraan petani. NTP yang tinggi akan mendorong kegairahan petani dalam berusaha tani sehingga dibutuhkan suatu peramalan dari NTP yang akan memberikan manfaat buat pemerintah daerah Provinsi Gorontalo. Pada penelitian ini akan dilakukan peramalan NTP dengan menggunakan hybrid model yaitu hybrid ARIMA-GARCH dan hybrid ARIMA-NN. Masing – masing model tersebut ditentukan model terbaik. Untuk model hybrid ARIMA-GARCH terbaik adalah model ARIMA (2,0,0)-GARCH (1,1). Sedangkan untuk model ARIMA-NN Terbaik adalah model ARIMA (2,0,0) dengan arsitektur NN (2-4-1). Dari Kedua model tersebut, diperoleh model ARIMA (2,0,0) - NN(2-4-1) merupakan model paling baik dengan nilai MAPE dan RMSE berturut-turut adalah untuk peramalan data NTP adalah 0.043831dan 4.651419.

BILANGAN TERHUBUNG PELANGI PADA GRAF HASIL OPERASI KORONA GRAF ANTIPRISMA (APm) DAN GRAF LENGKAP (K4) Khairun Nisa Humolungo; Sumarno Ismail; Isran K. Hasan; Nisky Imansyah Yahya
Jurnal Matematika UNAND Vol 11, No 2 (2022)
Publisher : Jurusan Matematika FMIPA Universitas Andalas Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jmua.11.2.112-123.2022

Bilangan terhubung pelangi didefinisikan sebagai banyaknya jumlah warna minimum yang dibutuhkan untuk membuat graf G menjadi terhubung pelangi, dengan syarat sisi yang termasuk dalam lintasan pelangi tidak boleh memiliki warna yang sama. Bilangan terhubung pelangi disimbolkan dengan rc(G). Seiring berkembangnya ilmu pengetahuan dan penelitian, maka bilangan terhubung pelangi mulai diterapkan ke dalam operasi graf. Penelitian ini menggunakan operasi korona untuk mengetahui bilangan terhubung pelangi dari graf antiprisma (APm) dan graf lengkap (K4). Berdasarkan hasil penelitian, maka diperoleh teorema bilangan terhubung pelangi dari graf (APm ⊙ K4) = 2m untuk 3 ≤ m ≤ 7 dan bilangan terhubung pelangi dari graf (K4 ⊙ APm) = 4 untuk m = {3, 4} ∧ 2m − 2 untuk 5 ≤ m ≤ 9, m ganjil ∧ 2m untuk 5 ≤ m ≤ 9, m genap.

Optimization Fuzzy Geographically Weighted Clustering with Gravitational Search Algorithm for Factors Analysis Associated with Stunting Isran K Hasan; Nurwan; Nur Falaq; Muhammad Rezky Friesta Payu
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 7 No 1 (2023): February 2023
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v7i1.4508

Stunting is a significant threat to the quality of human resources in Indonesia because stunting does not only involve physical growth disorders but can also cause children to be vulnerable to disease and experience disorders of brain development and intelligence. Many factors cause stunting, not only malnutrition in pregnant women and toddlers. Grouping can be done to make it easier to see the characteristics of the factors causing stunting in Indonesia. The grouping is done based on the similarity of the characteristics of the factors causing stunting in each province. This study used Fuzzy Geographically Weighted Clustering (FGWC) with Gravitational Search Algorithm (GSA) to group and assess the best cluster using the Partition Coefficient validity index, Classification Entropy, Separation Index, Xie & Beni's Index, and IFV Index. Furthermore, a difference test was conducted to determine the dominant factor causing stunting in the formed cluster. The results showed that the FGWC-GSA gave the best clustering results on the fuzziness value of 2 with the number of clusters 2. Cluster 1 consisted of 16 provinces, and cluster 2 consisted of 18 provinces. Based on the T-test, the variables of infants who received exclusive breastfeeding had significant differences between clusters. Therefore, cluster 2 is a cluster that has dominant problems related to exclusive breastfeeding.

Perbandingan Fuzzy Time Series Lee untuk Meramalkan Nilai Tukar Petani di Provinsi Gorontalo Alvitha Habibie; Lailany Yahya; Isran K. Hasan
Jambura Journal of Probability and Statistics Vol 4, No 1 (2023): Jambura Journal Of Probability and Statistics
Publisher : Department of Mathematics, Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34312/jjps.v4i1.17453

Gorontalo Province is one of the provinces in Indonesia where 60% of the population are farmers and fishermen. As much as 28,66% of PDRB in Gorontalo Province in 2020 was contributed by the agricultural sector. Farmer's Exchange Rate is a measurement capability of agricultural products in producing goods or services. Therefore, NTP forecasting is needed so that it becomes a reference in the future in making a decision to increase the agricultural sector. In this study, a comparison was made of the Holt Winters Exponential Smoothing method with Lee's Fuzzy Time Series to find out which is the best forecasting method for predicting NTP in Gorontalo Province. Based on the forecasting results, the accuracy value obtained from FTS Lee has a mape value of 0,65557% for FTS Lee order 1 and 0,55607%. While the accuracy value obtained by the multiplicative Holt Winters Exponential Smoothing is 5.92509% and the additive Holt Winters Exponential Smoothing is 6,14574%. From the forecasting results obtained, it can be concluded that the best method for predicting NTP in Gorontalo Province is the FTS Lee Order 2 method.

Analisis Komparasi Perbedaan IPK Mahasiswa Program Studi Pendidikan Matematika Ditinjau Dari Gaya Belajar Nanda Arista Rizki; Nurul Afifah; Thesalonica Graina Barung; Ivan Novri; Isran K. Hasan
Prosiding Seminar Nasional Pendidikan Matematika, Universitas Mulawarman Vol 3 (2023): Pembelajaran Berdeferensiasi dalam Mewujudkan Generasi Pancasila Unggul melalui Pembel
Publisher : Program Studi Pendidikan Matematika

Show Abstract | Download Original | Original Source | Check in Google Scholar

Indeks Prestasi Kumulatif (IPK) merupakan prestasi akademik Mahasiswa selama perkuliahan. Nilai IPK dapat dipengaruhi oleh gaya belajar. Penelitian terkait perbedaan IPK Mahasiswa calon guru matematika berdasarkan gaya belajar penting dilakukan, mengingat pada gilirannya mereka akan menjadi ujung tombak keberhasilan sebuah proses pembelajaran. Penelitian ini bertujuan untuk menganalisis komparasi perbedaan nilai IPK Mahasiswa berdasarkan gaya belajarnya. Data diambil dari 111 Mahasiswa aktif yang masih mengambil mata kuliah. Analisis data dilakukan dengan statistika deskriptif lalu dilakukan pengujian asumsi. Karena data tidak memenuhi asumsi, maka dilanjutkan dengan analisis non parametrik yaitu Kruskal-Wallis. Berdasarkan hasil penelitian, bahwa tidak terdapat perbedaan nilai IPK Mahasiswa antar kelompok gaya belajar.

ANALISIS PERPINDAHAN PENGGUNAAN APLIKASI TRANSPORTASI ONLINE MENGGUNAKAN RANTAI MARKOV Salmun K. Nasib; Nurwan Nurwan; I Wayan Can Aryasandi; Isran K. Hasan; Asriadi Asriadi
Jurnal Matematika UNAND Vol 13, No 1 (2024)
Publisher : Departemen Matematika dan Sains Data FMIPA Universitas Andalas Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jmua.13.1.26-40.2024

The purpose of this study is to find out the opportunities for switching to the use of online transportation applications and predict the future use of online transportation applications by Gorontalo State University students using the Markov chain. The data used in this study are primary data obtained through questionnaires. The results of the prediction of the proportion for future market share show that the proportion of users of the Maxim transportation application is 82.89%, Grab is 7.75%, Gojek is 5.06% and InDriver is 4.48%.

Co-Authors Abubakar, Agung Sucipto Agusyarif Rezka Nuha Alaina, Silvana Rahmayanti Alvitha Habibie Armayani Arsal Asriadi Asriadi Asriadi Asriadi Buhungo, Rayhanul Jannah Demas Novaleda Abdul Karim Dewi Rahmawaty Isa Djihad Wungguli Djuma, Clara Anggriani Doholio, Nadya Pratiwi Emiro, Awalia Hamani, Mohamad Taufik Harmain, Ismail Saputra R. Harun, Trieke Nurfadilah Hasan S. Panigoro HASIRU, LISA SYAHRIA Hinelo, Ikrar Prasetyo I Wayan Can Aryasandi Indrawati Lihawa Ismail Djakaria Ivan Novri Jefriyanto Ibrahim Karim, Finansiya S. Abd. Kasim, Afrianto Pratama Khairun Nisa Humolungo Kilo, Nur Ain Kurniawan Kurniawan La Ode Nashar Lailany Yahya Lapitung, Putri Mokodompit, Marcela Nadhilah, Farhah Nanda Arista Rizki NISKY IMANSYAH YAHYA Novianita Achmad Nur Falaq Nurdin, Sri Ayu Nurul Afifah Nurwan Nurwan Nurwan, Nurwan Pakaya, Desya Neydi Putri Pomahiya, Saiful Rahmi, Emli Resmawan Resmawan Salmun K. Nasib Sampe, Nofia Sigar, Tesya Siti Nurmardia Abdussamad Suharmin, Wandayana Nur'Amanah Sumarno Ismail Thesalonica Graina Barung Ulopo, Asrul S Usman, Rahmat Setiawan Wewengkang, Hanz Franklyn Bachruddin Winni A. Pakaya wolah, Meitasya

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