Article Per Year (5 Year)
p-Index From 2021 - 2026
5.963
P-Index
This Author published in this journals
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 Didaktik Matematika 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 Jambura Journal of Mathematics Laplace : Jurnal Pendidikan 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 MATHunesa: Jurnal Ilmiah Matematika Research in the Mathematical and Natural Sciences Jurnal Riset Mahasiswa Matematika Journal of Mathematics, Computation and Statistics (JMATHCOS) d'Cartesian: Jurnal Matematika dan Aplikasi KAMBIK : Journal of Mathematics Education Indonesian Journal of Computational and Applied Mathematics
Ismail Djakaria
Universitas Negeri Gorontalo
Agriculture, Biological Sciences & Forestry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Engineering Environmental Science Languange, Linguistic, Communication & Media Mathematics Mechanical Engineering Physics Social Sciences Transportation Other

Published : 52 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 52 Documents
Search

 2   3   4   5   6 
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.
Optimization of Interval Singh’s Fuzzy Time Series with Particle Swarm Optimization for Forecasting Consumer Price Index in Luwuk City siswanto, Navira; Djakaria, Ismail; Arsal, Armayani
Journal of Mathematics, Computations and Statistics Vol. 8 No. 1 (2025): Volume 08 Nomor 01 (April 2025)
Publisher : Jurusan Matematika FMIPA UNM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/jmathcos.v8i1.7282

Abstract

High inflation can threaten economic stability, with CPI as the main indicator to measure the inflation rate. Luwuk City experiences significant CPI fluctuations, reflecting economic uncertainty so an accurate forecasting method is needed. This research aims to apply Singh's Fuzzy Time Series (FTS) method optimised with Particle Swarm Optimization (PSO) to improve CPI forecasting accuracy. This research includes quantitative research, using secondary data obtained from monthly CPI data in Luwuk City on the official website of the Badan Pusat Statistik Kota Luwuk. The results showed that the use of PSO optimisation on Singh's FTS was able to optimise the prediction accuracy level of Singh's FTS forecasting on Luwuk City CPI data, with a MAPE value of 0.45%, where this value is less than 10% which indicates that the forecasting accuracy is very accurate.
Penerapan Model ARFIMA-LSTM Menggunakan Variasi Estimasi Parameter Pembeda Dalam Meramalkan data IHPBI Harun, Trieke Nurfadilah; Djakaria, Ismail; Yahya, Nisky Imansyah; Nasib, Salmun K; Hasan, Isran K
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.v4i5.33303

Abstract

Indeks Harga Perdagangan Besar Indonesia (IHPBI) merupakan indikator penting dalam mengukur perkembangan ekonomi, khususnya pada sektor pertanian yang memiliki pengaruh besar terhadap daya beli masyarakat. Fluktuasi harga di sektor ini berdampak langsung pada kesejahteraan konsumen dan produsen, sehingga diperlukan metode peramalan yang akurat. Penelitian ini bertujuan untuk meramalkan IHPBI sektor pertanian menggunakan pendekatan hybrid Autoregressive Fractionally Integrated Moving Average (ARFIMA) dan Long Short-Term Memory (LSTM), serta membandingkan performa  metode estimasi parameter pembeda terbaik. Model ARFIMA digunakan untuk menangani komponen stasioner dan pola jangka panjang melalui diferensiasi pecahan, sedangkan LSTM digunakan untuk menangkap pola nonlinier dalam data. Keterbaruan dalam penelitian ini adalah membandingkan parameter pembeda terbaik yaitu Local Whittle dan Rescaled Range Statistics dalam hybrid ARFIMA-LSTM. Hasil dari penelitian yaitu peramalan menunjukkan tren naik IHPBI sektor pertanian selama 12 bulan ke depan. Metode estimasi parameter pembeda terbaik dalam model ARFIMA adalah Rescaled Range Statistics dengan nilai sebesar 0,322. Model hybrid ini menghasilkan nilai MAPE sebesar 0,6337853%, yang menunjukkan tingkat akurasi sangat tinggi.
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).
Partial Least Square-Path Modeling Analysis of Factors Influencing the Consumptive Behaviour of Generation Z Agustina, Melisa; Djakaria, Ismail; Abdussamad, Siti Nurmardia; Payu, Muhammad Rezky Friesta; Adityaningrum, Amanda
Journal of Mathematics, Computations and Statistics Vol. 8 No. 2 (2025): Volume 08 Nomor 02 (Oktober 2025)
Publisher : Jurusan Matematika FMIPA UNM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/jmathcos.v8i2.8014

Abstract

Consumptive Behaviour refers to individuals’ purchasing behaviour without considering long-term needs and financial conditions. This research presents the results of an analysis of the consumptive behaviour of Generation Z in Dungingi Sub-District, Gorontalo City, selected because it represents the second-largest Generation Z population in the city. The study used the Partial Least Square-Path Modeling (PLS-PM) method to measure factors influencing consumptive behaviour: financial literacy, fear of missing out (FOMO), and hedonistic lifestyle. The sampling technique used was purposive sampling, resulting in 378 respondents aged 17-27 years who are employed. The analysis results indicate that financial literacy and FOMO significantly influence consumptive behaviour, with FOMO being the most dominant factor. The resulting model has a value of 0,930, meaning that the three latent variables can explain 93,0% of the consumptive behaviour of Generation Z. This study is expected to provide useful insights for policymakers and related parties in adressing consumptive behaviour issues among Generation Z. Keywords: PLS-PM; Consumptive Behaviour; Generation Z
Prediksi Permintaan Produksi dan Strategi Pemasaran UMKM Pia Aldista Menggunakan Analisis Markov dan SWOT Suleman, Alis; Djakaria, Ismail; Nashar, La Ode
Jurnal Riset Mahasiswa Matematika Vol 5, No 1 (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.v5i1.35717

Abstract

MSMEs play a vital role in national economic growth, but fluctuations in production demand pose a challenge in maintaining operational stability. The study on the Pia Lumer Aldista MSME aims to predict production demand and formulate marketing strategies through Markov Chain Analysis and SWOT. Markov Chain is used to model demand transition patterns based on the last three years of data and determine steady-state conditions, while SWOT identifies internal and external factors that influence marketing strategies. The Chi-Square Test results indicate that the data meets the Markov assumptions. Furthermore, the analysis results indicate that the original chocolate variant will stabilize in the 10th period with a decrease of 38.4\%, while pandan chocolate is stable in the first period but experiences a drastic decrease of 29.4\%. The SWOT analysis produces an IFAS score of 3.195 and an EFAS score of 3.148, placing the MSME in Quadrant I. Therefore, aggressive strategies are recommended, such as strengthening product uniqueness, lowering prices, expanding markets, and optimizing distribution. The approach of these two methods helps anticipate market changes and increase business competitiveness.
PERBANDINGAN METODE LIFE TABLE DAN METODE KAPLAN MEIER PADA ANALISIS SURVIVAL PENDERITA STROKE DI RSUD ALOEI SABOE KOTA GORONTALO PADA AGUSTUS SAMPAI DENGAN DESEMBER 2019 POMALINGO, DEWI ZULYANI; DJAKARIA, ISMAIL; PAYU, BOBY RANTOW
Jambura Journal of Probability and Statistics Vol 3, No 1 (2022): 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.v3i1.14178

Abstract

Penelitian ini bertujuan untuk mengestimasi fungsi survival pasien penderita stroke di RSUD Aloei Saboe kota Gorontalo bulan Agustus sampai dengan Desember 2019 menggunakan metode life table dan Kaplan Meier. Hasil estimasi keduanya dibandingkan dengan estimasi terbaik adalah yang menghasilkan nilai standar error terkecil. Hasil penelitian menunjukkan probabilitas survival pasien menggunakan estimasi life table adalah sebesar 0,8591 dan Kaplan Meier sebesar 0,8628. Berdasarkan perbandingan nilai standar error, dapat disimpulkan bahwa pada awal waktu survival, estimasi life table dan Kaplan Meier sama baiknya untuk menganalisis survival pasien. Namun untuk waktu survival yang semakin besar, estimasi Kaplan Meier menghasilkan nilai standar error yang lebih kecil dibandingkan estimasi life table.
Co-Authors Abubakar, Agung Sucipto Agustina, Melisa Agusyarif Rezka Nuha Alamri, Fahima Amalia Tatu Armayani Arsal Armin Haluti Arwildayanto, Arwildayanto Asriadi Asriadi Boby Rantow Payu Caicy Magelo Demas Novaleda Abdul Karim Dewi Rahmawati Isa Dewi Rahmawaty Isa Djibran, Fahrudin Djihad Wungguli Evi Hulukati Fatmawati Payopo Fenly B Mohamad Fitra Reza Dj Wares Franky Alfrits Oroh Gaib, Muhammad Bachtiar Hamila Hulihulis Hamza B Uno HARIYATI H. USMAN Harun, Trieke Nurfadilah Haryati Octaviani Bempah Hasan S. Panigoro Hasan, Irsan K. Hasan, Riyanto Hasan, Salmiaty HASIRU, LISA SYAHRIA Hendra Andrianto Yusuf Herlina Jusuf Isran K Hasan Iyohu, Lisa Rianti Jackonias Sanadi Jenny Patricia Ayu Kai K. Hasan, Isran K. Nasib, Salmun Kartin Usman Kasim, Miranti H. 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 Mentari Rizki Sawitri Pilomonu Modeong, Fakhira Mohamad Rivaldi Moha Mokodompit, Marcela Mokoginta, Karmila Muhammad Fathurrahman Muhammad Fathurrahman Muhammad Rezky F. Payu Nazmi Al-lahmadi Ningsih, Setia NISKY IMANSYAH YAHYA Nosva Adam Yunus Novianty Djapri Nurhayati Abbas Nursiya Bito Pakaya, Debyyansa Paputungan, Arsiullahnur R. Perry Zakaria POMALINGO, DEWI ZULYANI Putri Dini Retno Pratiwi Rahmi Moh. Amin Resmawan Resmawan Ria Kilala Safrudin Ismail Salima Silayar Salmun K. Nasib Sarira, Regina Amelia siswanto, Navira Siti Nurmardia Abdussamad Sitra Kalauw Sri Endang Saleh Sri Haryatmi Kartiko Suhardiman Darson Tamu Suleman, Alis Sumarno Ismail suryo Guritno Swasti Maharani Syafrudin Katili Syafrudin, Marisa Syamsu Qomar Badu Ukhti Nurfajriah Sasmita Ijonu Ulopo, Asrul S WA SALMI WD Rifqah Amalliah Ndangi Yamin Ismail Yenni Sauli Yunus, Silvani Yusuf, Hendra Andrianto Zulkifli Alamtaha