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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 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

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The Relationship Between Computational Thinking and Critical Thinking Disposition in Mathematical Problem Solving: Bibliometric Analysis Perry Zakaria; Ismail Djakaria; Rahmi Moh. Amin; Syafrudin Katili; Majid Majid; Swasti Maharani
AL-ISHLAH: Jurnal Pendidikan Vol 15, No 3 (2023): AL-ISHLAH: JURNAL PENDIDIKAN
Publisher : STAI Hubbulwathan Duri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35445/alishlah.v15i3.3162

Abstract

In the contemporary period, it is imperative for individuals to possess a repertoire of abilities encompassing problem-solving, critical thinking, and computational thinking. In contexts where challenges exhibit a growing level of intricacy and unpredictability. Efforts were made to improve these capabilities. Among them is the integration of learning in this modern curriculum. Mathematics is a branch of science that is expected to be a means for students to hone their abilities. The purpose of this study is to identify trends and research patterns published on the relationship between computational thinking and critical thinking dispositions in solving mathematical problems using bibliometric analysis. In addition, this article also encourages further research to explore various aspects related to the development of sustainable critical thinking and computational thinking in the context of problem-solving in mathematics learning. Data obtained from the Google Scholar database which has been refined with 4 stages (identification, screening, eligibility, and inclusion). The results of the study show that 2020 is the year with the highest and most influential publications because it has the highest h-index value. The research focus related to this topic from 2013-2023 is divided into 4, namely, 1) problem, student, and critical thinking; 2) computational thinking, teacher; 3) mathematics and projects; 4) disposition and science. Project and critical thinking skills are novelty on this research topic.
Pengembangan Ekonomi Kreatif Produk Industri Rumah Tangga dan UMKM di Desa Pelehu Kecamatan Bilato Kabupaten Gorontalo Sri Endang Saleh; Ismail Djakaria; Mentari Rizki Sawitri Pilomonu
Dikmas: Jurnal Pendidikan Masyarakat dan Pengabdian Vol 3, No 3 (2023): September
Publisher : Magister Pendidikan Nonformal Pascasarjana Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/dikmas.3.3.693-700.2023

Abstract

Business activities are mostly dominated by the community through the frame of Creative Economy and Micro, Small, and Menengan Enterprises. The choice of this frame is because the concept is simple and affordable, especially for the lower middle class. Home industry products in the framework of MSMEs play a major role in economic growth and employment. Problems for the creative economy and MSMEs include a lack of knowledge about the establishment of MSMEs, no permits, no branding, and the most important problem is digital marketing strategies. This is also found in Pelehu Village, Bilato District, with small household industries (MSMEs) starting to be developed but not yet using a digital business system, the appearance side of both Labeling, Packaging, and marketing is still relatively traditional and does not have a business license. To improve the economic self-sufficiency of business actors in Pelehu Village, Bilato District, Gorontalo Regency, the Thematic KKN implementation team by involving lecturers and students conducted socialization and training for MSME actors, housewives, and MSME observers. The main objectives of this Thematic KKN program are to assist MSMEs related to business licensing to obtain a Business Identification Number (BIN) to be legally legal; foster business actors to design MSME products and digital marketing systems; and involve students in guiding and motivating MSME actors. With the hope that it can independently encourage the economy in the Pelehu village area, Bilato District, Gorontalo Regency.
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.
Model Integer Linear Programming pada Optimisasi Distribusi Logistik di Daerah Bencana Kasim, Miranti H.; Djakaria, Ismail; Yahya, Lailany
Research in the Mathematical and Natural Sciences Vol. 1 No. 1 (2022): November 2021-April 2022
Publisher : Scimadly Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (321.569 KB) | DOI: 10.55657/rmns.v1i1.3

Abstract

Logistics distribution in disaster-affected areas includes the delivery of relief goods (food, medicine, and clothing) using three types of vehicles with different carrying capacities for each vehicle. In distributing relief goods, unfulfilled requests can occur in disaster-affected areas. This problem can be modeled in the form of integer linear programming because there is a variable that must be an integer value to minimize unfulfilled demand for all types of relief goods at each point of demand. The branch and bound method can solve this problem's integer linear programming model. The next model is simulated using the LINGO 11.0 programming language. The simulation results show that the system can be considered feasible to use. Thus, the vehicle allocation is also obtained in each period with distribution costs from the point of supply to the point of demand. This distribution process lasts for four periods by showing a change in the number of unfulfilled requests. In the last period, there was no more unfulfilled demand for aid to obtain optimal results.
Implementasi Model Cox Stratifikasi Interaksi dan Tanpa Interaksi untuk Mengidentifikasi Faktor-Faktor Laju Kesembuhan Pasien TB Paru Modeong, Fakhira; Isa, Dewi Rahmawaty; Djakaria, Ismail; Payu, Muhammad Rezky Friesta; Mahmud, Sri Lestari
Research in the Mathematical and Natural Sciences Vol. 2 No. 2 (2023): May-October 2023
Publisher : Scimadly Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55657/rmns.v2i2.130

Abstract

This study aims to determine the factors that most influence the rate of recovery of pulmonary tuberculosis patients using the Cox Proportional Hazard model. In the case of the cure rate of pulmonary tuberculosis patients, not all independent variables meet the proportional hazard assumption, so the stratified cox regression model is used. The stratified cox regression model used is the stratified cox model with interaction and without interaction involving pulmonary tuberculosis patients in one of the Gorontalo Hospitals. The results showed that the variables of shortness of breath, previous pulmonary tuberculosis patients, and smoking habits were the most significant factors affecting the recovery rate of pulmonary tuberculosis patients.
Analisis Kemampuan Penalaran Matematis Siswa pada Materi Pola Bilangan Ditinjau Dari Kemampuan Menyelesaikan Soal Berbasis Masalah Paputungan, Arsiullahnur R.; Djakaria, Ismail; Ismail, Yamin
Research in the Mathematical and Natural Sciences Vol. 3 No. 2 (2024): May-October 2024
Publisher : Scimadly Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55657/rmns.v3i2.162

Abstract

This research is a qualitative descriptive study which aims to determine students' mathematical reasoning abilities in solving problem-based questions with categories of high, sufficient and low mathematical reasoning abilities. The subjects studied were 18 students at SMPN 15 Gorontalo who were in class VIII. The data collection technique is a means of collecting data by researchers which takes place in two stages, namely tests and interviews. The indicators used in this research are as follows: 1) Ability to present mathematical statements in writing. 2) submit an opinion. 3) carry out mathematical manipulations. 4) compiling evidence, providing reasons or evidence for the truth and 5) drawing conclusions. The research results showed that the ability to present mathematical statements obtained a presentation of 68.52% in the high category, the ability to put forward conjectures in the presentation 44.44% in the sufficient category, the ability to manipulate mathematical presentations in the sufficient category 44.44%, the ability to draw conclusions, compile evidence, provide reasons or evidence for the correctness of the solution. obtained presents 48.15%. sufficient category, an interesting conclusion from the statement obtaining a percentage of 40.74% in the sufficient category.
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%.
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