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All Journal JPMS (Jurnal Pendidikan Matematika dan Sains) dCartesian: Jurnal Matematika dan Aplikasi Jurnal Ilmu Dasar Jurnal Gaussian CAUCHY: Jurnal Matematika Murni dan Aplikasi Jurnal Karya Pendidikan Matematika Jurnal Daya Matematis PYTHAGORAS: Jurnal Program Studi Pendidikan Matematika AKSIOMA HISTOGRAM: Jurnal Pendidikan Matematika Al Ishlah Jurnal Pendidikan JURNAL PENDIDIKAN GLASSER BAREKENG: Jurnal Ilmu Matematika dan Terapan JURNAL EDUCATION AND DEVELOPMENT Jambura Journal of Mathematics Laplace : Jurnal Pendidikan Matematika Proximal: Jurnal Penelitian Matematika dan Pendidikan Matematika JP2M (Jurnal Pendidikan dan Pembelajaran Matematika) ESTIMASI: Journal of Statistics and Its Application Jurnal Statistika dan Aplikasinya Jambura Journal of Mathematics Education JAMBURA JOURNAL OF PROBABILITY AND STATISTICS Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi Dikmas: Jurnal Pendidikan Masyarakat dan Pengabdian Jurnal Kolaboratif Sains MATHunesa: Jurnal Ilmiah Matematika Sanitasi: Jurnal Kesehatan Lingkungan Research in the Mathematical and Natural Sciences Research Review: Jurnal Ilmiah Multidisiplin Jurnal Riset Mahasiswa Matematika Journal of Mathematics, Computation and Statistics (JMATHCOS) d'Cartesian: Jurnal Matematika dan Aplikasi Algoritma: Jurnal Matematika, Ilmu Pengetahuan Alam, Kebumian dan Angkasa KAMBIK : Journal of Mathematics Education Indonesian Journal of Computational and Applied Mathematics Jurnal Didaktik Matematika
Ismail Djakaria
Universitas Negeri Gorotalo
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PENGARUH KEMAMPUAN KOMUNIKASI MATEMATIS DAN MOTIVASI BELAJAR TERHADAP HASIL BELAJAR SISWA Jenny Patricia Ayu Kai; Evi P. Hulukati; Ismail Djakaria
HISTOGRAM: Jurnal Pendidikan Matematika Vol. 7 No. 2 (2023): histogram
Publisher : STKIP Andi Matappa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31100/histogram.v7i2.2935

Abstract

The aims of this research were to determine: (1) the impact of mathematical communication skills on learning outcomes, (2) the impact of learning motivation on learning outcomes, and (3) the simultaneous impact of mathematical communication skills and learning motivation on learning outcomes. This research was conducted at SMP Negeri 1 Botupingge and involved 23 respondents who were determined by using simple random sampling. The data collection techniques in this research employed instruments of: (1) test of mathematical communication skills, (2) learning motivation questionnaires, and (3) data on students’ daily test result in class VII in algebra topic in odd semester. The research data were analyzed with descriptive statistics and inferential statistics with multiple regression analysis. Based on the findings, it can be inferred that: (1) mathematical communication skills impacted learning outcomes, (2) learning motivation impacted learning outcomes, and (3) simultaneously, mathematical communication skills and learning motivation impacted learning outcomes. 
Penerapan Metode Double Moving Average Untuk Meramalkan Hasil Produksi Tanaman Padi di Provinsi Gorontalo Hendra Andrianto Yusuf; Ismail Djakaria; Resmawan Resmawan
d\'Cartesian: Jurnal Matematika dan Aplikasi Vol 9, No 2 (2020): September 2020
Publisher : Sam Ratulangi University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35799/dc.9.2.2020.28377

Abstract

Artikel ini membahas tentang metode double moving average untuk mengetahui hasil ramalan produksi tanaman padi di Provinsi Gorontalo. Metode double moving average merupakan metode rata-rata bergerak linier yang digunakan untuk mengatasi data deret waktu dengan pola yang cenderung mengalami trend linear. Berdasarkan pola data hasil produksi tanaman padi, menunjukkan bahwa pola data tersebut mengalami peningkatan setiap tahunnya dan dapat diidentifikasi bahwa data berpola trend.  Hasil penelitian ini menunjukan bahwa model terbaik untuk meramalkan hasil produksi tanaman padi diperole MA (2 × 2) dengan model persamaan adalah F18+p =331692+(-5373) × m  dan nilai tingkat akurasi yaitu measure absolute persenrage error (MAPE) sebesar 5.3537. Sehingga diperoleh hasil peramalan 5 tahun ke depan yaitu tahun 2019 sebesar 326318.5 Ton, 2020 sebesar 32094.5 Ton, dan seterusnya sampai tahun 2023 sebesar 304826.5 Ton.
Perbandingan Metode K-Means Clustering dengan Self-Organizing Maps (SOM) untuk Pengelompokan Provinsi di Indonesia Berdasarkan Data Potensi Desa Iyohu, Lisa Rianti; Ismail Djakaria; La Ode Nashar
Jurnal Statistika dan Aplikasinya Vol. 7 No. 2 (2023): Jurnal Statistika dan Aplikasinya
Publisher : LPPM Universitas Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/JSA.07208

Abstract

K-Means is a method of grouping data into several different groups so that data that has similar characteristics is made into one group while data that has different characteristics is made into a different group, where this method works by minimizing the distance between the data and the cluster center. In addition to K-Means clustering, there is also the Self Organizing Maps (SOM) method which is an undirected method, meaning that layers consisting of neurons are arranged into groups based on input values, where each data grouping process is based on the characteristics or features of the data. Clustering is carried out in Provinces in Indonesia based on village potential data in 2021 with the aim of knowing the performance comparison of K-Means clustering and Self Organizing Maps (SOM). Determination of the optimal number of clusters is carried out using the Elbow method, the results in the study obtained 3 clusters for both K-Means clustering and Self Organizing Maps (SOM). The clustering results are evaluated using the Davies Bouldin Index (DBI) value and show that clustering using the Self Organizing Maps (SOM) method provides better results than using the K-Means clustering method where the DBI value is 0.1829366. The clustering results using the Self Organizing Maps (SOM) method for cluster 1 consist of 31 province members, cluster 2 consists of 1 province member and cluster 3 consists of 2 province members.
Analisis Peluang Jangka Panjang Mesin Penggilingan Padi Menggunakan Rantai Markov Nasib, Salmun K.; Hasan, Riyanto; Djakaria, Ismail; Payu, Muhammad Rezky Friesta; Nuha, Agusyarif Rezka; Nashar, La Ode
Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi EULER: Volume 12 Issue 1 June 2024
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/euler.v12i1.25280

Abstract

The reliability of the machinery greatly affects the long-term potential of the grinding of pepper in Mustika village, Paguyaman district, and Boalemo district. The smoothness of the production process depends heavily on the condition of the machine, and if the machine's reliability is disrupted, then it will affect production. The purpose of this study is to determine the probability of the steady state of the machine and the timing of the maintenance of the grinding machine in the Mustika Village of Boalemo district. The Markov chain is a method used to deal with the purpose, whereas the Markov chain is the method used for predicting future events. The final result was an ergodic transition chance matrix, resulting in an estimated best maintenance time of 28 days of use with a steady state chance of 62.27\% of the machine being in good condition, 27.8\% in mild damage, and 9.93\% in severe damage.
PERBANDINGAN METODE LVQ DAN BACKPROPAGATION UNTUK KLASIFIKASI STATUS GIZI ANAK DI KECAMATAN SANGKUP Alamri, Fahima; Ningsih, Setia; Djakaria, Ismail; Wungguli, Djihad; K. Hasan, Isran
Jurnal Gaussian Vol 12, No 3 (2023): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/j.gauss.12.3.314-321

Abstract

The problem of children nutrition isi still a problem in various regions in Indonesia. Poor or poor nutrition of children is influenced by several factors, namely insufficient food intake and infectious diseases. Undernutrition or poor nutrition can be known from the nutritional status assessment obtained from classifying the nutrional status of children. Classification is a part of data mining that is often used to classify data based on certain data or variables. This study aims to compare the classification of the nutritional status of children using data mining with the learning vector quantization (LVQ) and backpropagation methods. Test were carried out using a comparasion ratio of training and testing data, namely 75% and 25%. From the research results, LVQ is superior with an accuracy of 95.12% and backpropagation of 80.49%.
REACT STRATEGY ON MATHEMATICAL REASONING REVIEWED FROM STUDENTS’ INTEREST IN LEARNING MATHEMATICS Mahajani, Roy; Abbas, Nurhayati; Djakaria, Ismail; Majid, Majid
Daya Matematis: Jurnal Inovasi Pendidikan Matematika Vol 12, No 3 (2024): Desember
Publisher : Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26858/jdm.v12i3.66319

Abstract

This study aims to determine whether the REACT strategy effectively enhances students’ mathematical reasoning based on their interest in learning, specifically for students in class X at SMA Negeri 1 Asparaga. The study employed a quasi-experimental with a 2 × 2 treatment-by-level design, analyzed using two-way ANOVA and Tukey’s test. The findings are as follows: (1) The REACT strategy is more effective than conventional teaching methods in enhancing students’ interest in learning (Fcount = 27.230 > Ftable = 4.105) and average scores of 44.79 & 34.52; (2) There is a significant interaction between the teaching model and students’ interest in learning on their mathematical reasoning (Fcount = 7.534 > Ftable = 4.105); (3) Among students with high interest in learning, the REACT strategy outperforms the conventional model, with a significant result (calculated significance with SPSS v.23 = 1.000 > 0.05) and average scores of 57.50 & 44.11; (4) Among students with low interest in learning, the REACT strategy also demonstrates superiority over the conventional model in critical mathematical thinking, with a significant result (calculated significance with SPSS v.23 = 0.314 > 0.05) and average scores of 31.71 & 27.56.
Perbandingan FTS Ruey Chyn Tsaur dan Saxena Easo Dalam Meramalkan Kunjungan Wisatawan Mancanegara Di Bali Ulopo, Asrul S; Djakaria, Ismail; Nashar, La Ode; Hasan, Isran K; Asriadi, Asriadi
Jurnal Riset Mahasiswa Matematika Vol 4, No 5 (2025): Jurnal Riset Mahasiswa Matematika
Publisher : Mathematics Department, Maulana Malik Ibrahim State Islamic University of Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/jrmm.v4i5.33304

Abstract

Provinsi Bali merupakan destinasi wisata utama di Indonesia yang setiap tahunnya menarik jutaan wisatawan mancanegara. Kunjungan wisatawan mancanegara di Provinsi Bali Januari sampai Juli 2024 menyambut kedatangan 3.538.899 wisatawan mancanegara, menunjukkan peningkatan signifikan sebesar 22,18% dibandingkan periode yang sama pada tahun sebelumnya. Peningkatan jumlah kunjungan tersebut menjadi indikator penting dalam pengembangan sektor pariwisata sekaligus penopang utama perekonomian daerah. Oleh karena itu, peramalan jumlah kunjungan wisatawan mancanegara di Bali menjadi langkah strategis untuk mendukung perencanaan dan pengambilan kebijakan yang efektif serta pengelolaan destinasi yang berkelanjutan. Penelitian ini bertujuan untuk membandingkan akurasi metode Fuzzy Time Series Ruey Chyn Tsaur dan Fuzzy Time Series Saxena Easo dalam meramalkan jumlah kunjungan wisatawan mancanegara di Bali. Data yang digunakan merupakan data sekunder dari Badan Pusat Statistik selama periode Januari 2005 hingga Desember 2024. Hasil penelitian menunjukkan bahwa FTS Ruey Chyn Tsaur memiliki tingkat akurasi yang lebih tinggi dengan nilai MAPE sebesar 5,544%, dibandingkan dengan FTS Saxena Easo yang menghasilkan MAPE sebesar 8,9256%. Kedua metode termasuk dalam kategori sangat akurat karena nilai MAPE yang diperoleh berada di bawah 10%. Evaluasi model terbaik menunjukkan bahwa pendekatan tersebut menghasilkan nilai MAPE sebesar 6,811%.
Penerapan metode SARIMAX dalam meramalkan produksi ikan Nike di provinsi Gorontalo Djibran, Fahrudin; Djakaria, Ismail; Nuha, Agusyarif Rezka
PYTHAGORAS : Jurnal Program Studi Pendidikan Matematika Vol 14, No 1 (2025): PYTHAGORAS: Jurnal Program Studi Pendidikan Matematika
Publisher : UNIVERSITAS RIAU KEPULAUAN, BATAM, INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33373/pyth.v14i1.7512

Abstract

Produksi ikan nike (Awaous Welanocephalus) di Gorontalo mengalami penurunan rata-rata 14 ton per tahun dalam tiga tahun terakhir. Analisis data tahun 2020–2021 menunjukkan tren penurunan produksi yang dipengaruhi oleh faktor eksternal seperti curah hujan, degradasi vegetasi bantaran sungai, peningkatan aktivitas pembangunan di muara, serta eksploitasi sumber daya seperti penambangan pasir dan batu. Kondisi ini mengancam keberlanjutan sumber daya ikan nike, terutama karena belum adanya upaya budidaya dan masih bergantung pada hasil tangkapan alam. Oleh karena itu, penelitian ini bertujuan untuk meramalkan produksi ikan nike di Provinsi Gorontalo menggunakan metode Seasonal Autoregressive Integrated Moving Average with Exogenous Variables (SARIMAX) dengan mempertimbangkan curah hujan sebagai variabel eksternal. Data yang digunakan mencakup produksi ikan nike dan curah hujan dari tahun 2020 hingga 2024 yang diperoleh dari Dinas Kelautan dan Perikanan serta Badan Pusat Statistik (BPS). Analisis dilakukan melalui uji stasioneritas data, pemodelan SARIMAX, serta evaluasi akurasi menggunakan Mean Absolute Percentage Error (MAPE). Hasil penelitian menunjukkan bahwa produksi ikan nike memiliki pola musiman yang dipengaruhi oleh curah hujan, dengan model SARIMAX(1,2,1)(0,0,1)12 memberikan hasil peramalan yang akurat dengan nilai MAPE sebesar 16,66%. Model ini dapat digunakan sebagai alat bantu dalam pengelolaan sumber daya perikanan yang berkelanjutan di Gorontalo.
APPLICATION OF THE COPULA METHOD TO ANALYZE THE RELATIONSHIPS OF MACROECONOMIC FACTORS AFFECTING THE CSPI Saleh, Sri Endang; Pakaya, Debyyansa; Hasan, Irsan K.; Djakaria, Ismail
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 17 No 2 (2023): BAREKENG: Journal of Mathematics and Its Applications
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol17iss2pp0903-0912

Abstract

The Composite Stock Price Index (CSPI) is a valuable number in assessing the performance of the stocks listed on the stock exchange; by looking at the Composite Stock Price Index, investors can determine their investment strategy. However, the rise and fall of the Composite Stock Price Index depend on a country's macroeconomic conditions; if the economy weakens, the company's performance will also undermine investors' confidence, and confidence decreases. Analysing the relationship between the Composite Stock Price Index with macroeconomic factors can show how much the influence of these factors on the increase or decrease in the Composite Stock Price Index, the macroeconomic factors in question are inflation, interest rates and the rupiah exchange rate. In this study, dependency analysis was carried out with the Copula approach method involving the Tau Kendal method for parameter estimation and the Maximum Likelihood Estimation (MLE) method to choose the best Copula model to explain the relationship between the Composite Stock Price Index and these macroeconomic factors. Research results in it are found that the best Copula that can explain the dependency structure between the Composite Stock Price, The index with inflation and interest rates is the Gumbel Copula with parameters θ ̂= 1.264 and θ ̂= 1.174, While the Copula model is the best that can explain the structure of the dependency between Composite Stock Price Index and the exchange rate is Copula Student-t with parameter θ ̂= −0.6037.
COMPARING GAUSSIAN KERNEL AND QUADRATIC SPLINE OF NONPARAMETRIC REGRESSION IN MODELING INFECTIOUS DISEASES Adityaningrum, Amanda; Ladjali, Sri Indriani; Djakaria, Ismail; Yahya, Lailany; Payu, Muhammad Rezky Friesta; Nashar, La Ode; Jusuf, Herlina
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 17 No 4 (2023): BAREKENG: Journal of Mathematics and Its Applications
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol17iss4pp2135-2146

Abstract

The regression curve for nonparametric regression is assumed to belong to some infinite-dimensional collection of functions, which allows great flexibility in the form of the curve. This research intends to compare the Gaussian Kernel and Quadratic Spline regressions in four infectious diseases in Indonesia by 2021. The data used is secondary data from the Central Bureau of Statistics and the Ministry of Health, Indonesia, and the sample consists of four infectious diseases in Indonesia by 2021 (Tuberculosis, Diarrhoeal, Pneumonia, and COVID-19). Considering the correlation value, it was found that the independent and dependent variables of the four infectious diseases are all highly correlated (r values are more than 0.7). Furthermore, the scatter plots for four infectious diseases do not follow a particular pattern; due to this, parametric regression cannot be used to analyze the data. Therefore, nonparametric regression was applied in this research . According to the analysis, the Gaussian Kernel is the best regression technique for modeling four infectious diseases in Indonesia by 2021, which its R2 values are 99.85% (Tuberculosis), 100% (Diarrhoeal), 99.91% (Pneumonia), and 99.99% (COVID-19).
Co-Authors A. Fahmi Indrayani Abubakar, Agung Sucipto Agusyarif Rezka Nuha Alamri, Fahima Alis Suleman Amalia Tatu Amanda Adityaningrum Amanda Adityaningrum Armayani Arsal Armin Haluti Arsiullahnur R. Paputungan Arwildayanto, Arwildayanto Asriadi Asriadi Asriadi Auli Irfah Boby Rantow Payu Caicy Magelo Demas Novaleda Abdul Karim Dewi Rahmawati Isa Dewi Rahmawaty Isa Djibran, Fahrudin Djihad Wungguli Evi Hulukati Fakhira Modeong Fatmawati Payopo Fenly B Mohamad Fitra Reza Dj Wares Franky Alfrits Oroh Frans Mitran Ajami Gaib, Muhammad Bachtiar Hamila Hulihulis Hamza B Uno HARIYATI H. USMAN Haryati Octaviani Bempah Hasan S. Panigoro Hasan, Irsan K. Hasan, Riyanto HASIRU, LISA SYAHRIA Hendra Andrianto Yusuf Herlina Jusuf Isran K Hasan Iyohu, Lisa Rianti Jackonias Sanadi Jenny Patricia Ayu Kai K. Hasan, Isran Karmila Mokoginta Kartin Usman Kurniawan Kurniawan La Ode Nashar La Ode Nashar Ladjali, Nurjana Namko Ladjali, Sri Indriani Lailany Yahya Madonsa, Muhammad Rifai Mahajani, Roy Mahmud, Sri Lestari Majid Majid Majid, Majid Marice Awairaro Melisa Agustina Mentari Rizki Sawitri Pilomonu Miranti H. Kasim Moh. Rifai Katili Moh. Rifky Monoarfa Mohamad Rivaldi Moha Mokodompit, Marcela Muhaimin Kodai Muhammad Fathurrahman Muhammad Fathurrahman Muhammad Rezky F. Payu Muhammad Rezky Friesta Payu Navira siswanto Nazmi Al-lahmadi Ningsih, Setia NISKY IMANSYAH YAHYA Nosva Adam Yunus Novianita Achmad Novianty Djapri Nurhayati Abbas Nursiya Bito Pakaya, Debyyansa Perry Zakaria POMALINGO, DEWI ZULYANI Putri Anggraeni Putri Dini Retno Pratiwi Rahmat Rahmat Rahmi Moh. Amin Randy Ferdiansyah Resmawan Resmawan Ria Kilala Safrudin Ismail Salima Silayar Salmiaty Hasan Salmun K. Nasib Sarira, Regina Amelia Sartika Husain Sianne Sarif Siti Nurmardia Abdussamad Sitra Kalauw Sri Endang Saleh Sri Haryatmi Kartiko Suhardiman Darson Tamu Sumarno Ismail suryo Guritno Swasti Maharani Syafrudin Katili Syafrudin, Marisa Syamsu Qomar Badu Trieke Nurfadilah Harun Ukhti Nurfajriah Sasmita Ijonu Ulopo, Asrul S WA SALMI WD Rifqah Amalliah Ndangi Yamin Ismail Yenni Sauli Yunus, Silvani Yusuf, Hendra Andrianto Zulkifli Alamtaha