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All Journal Sinkron : Jurnal dan Penelitian Teknik Informatika Desimal: Jurnal Matematika Justek : Jurnal Sains Dan Teknologi Zero : Jurnal Sains, Matematika, dan Terapan AXIOM : Jurnal Pendidikan dan Matematika ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam) JCRS (Journal of Community Research and Service) Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Jurnal Varian Proximal: Jurnal Penelitian Matematika dan Pendidikan Matematika JP2M (Jurnal Pendidikan dan Pembelajaran Matematika) Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Journal of Information Technology (JIfoTech) Leibniz: Jurnal Matematika Jurnal IPTEK Bagi Masyarakat Jurnal Pijar MIPA Jurnal MathEducation Nusantara Journal of Mathematics Instruction, Social Research and Opinion Bulletin of Applied Mathematics and Mathematics Education Euclid Jurnal Bayesian : Jurnal Ilmiah Statistika dan Ekonometrika Journal of Medives: Journal of Mathematics Education IKIP Veteran Semarang LOKAKARYA Jurnal Penelitian Pendidikan MIPA Jurnal Arjuna : Publikasi Ilmu Pendidikan, Bahasa dan Matematika Algoritma: Jurnal Matematika, Ilmu Pengetahuan Alam, Kebumian dan Angkasa Relevan : Jurnal Pendidikan Matematika
Siregar, Machrani Adi Putri
Universitas Islam Negeri Sumatera Utara
Religion Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Health Professions Languange, Linguistic, Communication & Media Mathematics Mechanical Engineering Physics Public Health Social Sciences Other

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Journal : Proximal: Jurnal Penelitian Matematika dan Pendidikan Matematika

 1 
Penerapan Metode ADL Pengaruh Harga BBM dan Jumlah Uang Beredar terhadap Inflasi di Kota Medan Sarah, Henny May; Siregar, Machrani Adi Putri; Widyasari, Rina
Proximal: Jurnal Penelitian Matematika dan Pendidikan Matematika Vol. 7 No. 1 (2024): Sustainable Development Goal in Mathematics and Mathematics Education
Publisher : Universitas Cokroaminoto Palopo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30605/proximal.v7i1.3412

Abstract

Inflation is a general and continuous tendency to increase the price of goods. Factors causing inflation include increases in fuel prices and money supply. The general impact of inflation is a decrease in domestic investment, an increase in interest rates, encouraging investment through speculation, failure to develop, economic instability, a balance of payments deficit, and lowering the standard of living and welfare of the community.The purpose of this study is to determine the effect of fuel prices and the amount of money in circulation on inflation in the city of Medan. The model used is the Autoregressive Distributed Lag (ADL) Model. If the variables in the ADL model, both the dependent variable and the independent variable have a unit root, usually performed stasionary test. The ADL model as-sumes stationary data even if the dependent and independent variables are nei-ther stationary or cointegrated. The test results indicate that there is no cointe-gration between the variables, and the model produced indicates that the varia-bles affecting the price of fuel and the availability of money have a considerable impact on inflation, with a coefficient of determination of 71,4% and a MAPE value of 15,64%, making it suitable for making predictions.
Pendekatan Regresi Spline Multivariabel untuk Pemodelan Indeks Ketahanan Pangan Provinsi Sumatera Utara Zulaika, Zulaika; Cipta, Hendra; Siregar , Machrani Adi Putri
Proximal: Jurnal Penelitian Matematika dan Pendidikan Matematika Vol. 7 No. 1 (2024): Sustainable Development Goal in Mathematics and Mathematics Education
Publisher : Universitas Cokroaminoto Palopo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30605/proximal.v7i2.3666

Abstract

Food security is a condition where food is fulfilled for a household which is reflected in the availability of sufficient food both in terms of quantity and quality, safe, and equitable and affordable. In Government Regulation No. 38 of 2007 Food security has become a basic prerequisite that must be owned by autonomous regions where food security is a mandatory matter for the central, provincial, and district / city governments. To measure the food security of a region, the Government makes an indicator in looking at the achievement of food security of a region. This indicator is the Food Security Index. For this reason, it is necessary to conduct an analysis to model factors related to food security through the Food Security Index to see how much these factors contribute to the ups and downs of the Food Security Index. One statistical method that can explain the relationship between predictor variables and response variables is spline nonparametric regression analysis. Spline is an approach towards matching data while taking into account the smoothness of curves. Splines have the advantage of overcoming data patterns that show sharp rises / downs with the help of knot points, and the resulting curve is relatively smooth. The research objective of this study was to determine the modeling of the Food Security Index in North Sumatra using the Multivariable Spline Regression Method. Based on the analysis that has been done, a spline regression model for the Food Security Index in North Sumatra was obtained at three knot points with a minimum GCV value of 27.39 and R^2 is 92.76%.
Uji Metode Naive Bayes Classifier dalam Pembagian Bantuan Langsung Tunai oleh Program Keluarga Harapan Panjaitan, Syarifah Utari; Siregar, Machrani Adi Putri; Harleni, Silvia
Proximal: Jurnal Penelitian Matematika dan Pendidikan Matematika Vol. 7 No. 2 (2024): Menjembatani Matematika dan Pendidikan Matematika menuju Pemanfaatan Berkelanju
Publisher : Universitas Cokroaminoto Palopo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30605/proximal.v7i2.3688

Abstract

Direct Cash Assistance (DCA) can be understood as giving a sum of money (cash) to the poor through a village fund budget issued by the government. The DCA Program for Target Households (PTH) in its implementation must directly touch and provide direct benefits to the poor (which are categorized as PTH), encourage shared social responsibility and be able to foster public trust in the government in really paying attention to PTH. The Naive Bayes classifier is a classification method that can be used in the distribution of Direct Cash Assistance (DCA) by the Family Hope Program (FHP). The data used in this study were obtained from the East Sei Kepayang sub-district and the Asahan District Social Service. The data taken is only data obtained in 2022 and in branches sourced from the village fund budget issued by the government. The results showed that based on predetermined test data, the probability of "yes" assistance was 0.0066650391 while the probability of "no" assistance was 0, so that the results of the classification "yes" for this data were obtained.
Penerapan Metode ADL Pengaruh Harga BBM dan Jumlah Uang Beredar terhadap Inflasi di Kota Medan Sarah, Henny May; Siregar, Machrani Adi Putri; Widyasari, Rina
Proximal: Jurnal Penelitian Matematika dan Pendidikan Matematika Vol. 7 No. 1 (2024): Sustainable Development Goal in Mathematics and Mathematics Education
Publisher : Universitas Cokroaminoto Palopo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30605/proximal.v7i1.3412

Abstract

Inflation is a general and continuous tendency to increase the price of goods. Factors causing inflation include increases in fuel prices and money supply. The general impact of inflation is a decrease in domestic investment, an increase in interest rates, encouraging investment through speculation, failure to develop, economic instability, a balance of payments deficit, and lowering the standard of living and welfare of the community.The purpose of this study is to determine the effect of fuel prices and the amount of money in circulation on inflation in the city of Medan. The model used is the Autoregressive Distributed Lag (ADL) Model. If the variables in the ADL model, both the dependent variable and the independent variable have a unit root, usually performed stasionary test. The ADL model as-sumes stationary data even if the dependent and independent variables are nei-ther stationary or cointegrated. The test results indicate that there is no cointe-gration between the variables, and the model produced indicates that the varia-bles affecting the price of fuel and the availability of money have a considerable impact on inflation, with a coefficient of determination of 71,4% and a MAPE value of 15,64%, making it suitable for making predictions.
Pendekatan Regresi Spline Multivariabel untuk Pemodelan Indeks Ketahanan Pangan Provinsi Sumatera Utara Zulaika, Zulaika; Cipta, Hendra; Siregar , Machrani Adi Putri
Proximal: Jurnal Penelitian Matematika dan Pendidikan Matematika Vol. 7 No. 1 (2024): Sustainable Development Goal in Mathematics and Mathematics Education
Publisher : Universitas Cokroaminoto Palopo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30605/proximal.v7i2.3666

Abstract

Food security is a condition where food is fulfilled for a household which is reflected in the availability of sufficient food both in terms of quantity and quality, safe, and equitable and affordable. In Government Regulation No. 38 of 2007 Food security has become a basic prerequisite that must be owned by autonomous regions where food security is a mandatory matter for the central, provincial, and district / city governments. To measure the food security of a region, the Government makes an indicator in looking at the achievement of food security of a region. This indicator is the Food Security Index. For this reason, it is necessary to conduct an analysis to model factors related to food security through the Food Security Index to see how much these factors contribute to the ups and downs of the Food Security Index. One statistical method that can explain the relationship between predictor variables and response variables is spline nonparametric regression analysis. Spline is an approach towards matching data while taking into account the smoothness of curves. Splines have the advantage of overcoming data patterns that show sharp rises / downs with the help of knot points, and the resulting curve is relatively smooth. The research objective of this study was to determine the modeling of the Food Security Index in North Sumatra using the Multivariable Spline Regression Method. Based on the analysis that has been done, a spline regression model for the Food Security Index in North Sumatra was obtained at three knot points with a minimum GCV value of 27.39 and R^2 is 92.76%.
Uji Metode Naive Bayes Classifier dalam Pembagian Bantuan Langsung Tunai oleh Program Keluarga Harapan Panjaitan, Syarifah Utari; Siregar, Machrani Adi Putri; Harleni, Silvia
Proximal: Jurnal Penelitian Matematika dan Pendidikan Matematika Vol. 7 No. 2 (2024): Menjembatani Matematika dan Pendidikan Matematika menuju Pemanfaatan Berkelanju
Publisher : Universitas Cokroaminoto Palopo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30605/proximal.v7i2.3688

Abstract

Direct Cash Assistance (DCA) can be understood as giving a sum of money (cash) to the poor through a village fund budget issued by the government. The DCA Program for Target Households (PTH) in its implementation must directly touch and provide direct benefits to the poor (which are categorized as PTH), encourage shared social responsibility and be able to foster public trust in the government in really paying attention to PTH. The Naive Bayes classifier is a classification method that can be used in the distribution of Direct Cash Assistance (DCA) by the Family Hope Program (FHP). The data used in this study were obtained from the East Sei Kepayang sub-district and the Asahan District Social Service. The data taken is only data obtained in 2022 and in branches sourced from the village fund budget issued by the government. The results showed that based on predetermined test data, the probability of "yes" assistance was 0.0066650391 while the probability of "no" assistance was 0, so that the results of the classification "yes" for this data were obtained.
Co-Authors Afsari, Khaila Agustin, Uni Agustina Rangkuti Aminda Tri Handayani Ammamiarihta Ammamiarihta Ammamiarihta, Ammamiarihta Andini, Fadhila Andini, Fadhila Andini Andriani, Poppy Arya Impun Diapari Lubis Asrul Asrul Atika Nadila Aulia, Raodhatus Anggi Ayu Lestari Batubara, Ana Uzla Chairina Chairina Debi Anggitasyah Dinda, Dinda Durriah Hasibuan Eka Yusnita Eryanti Lisma Eryanti Lisma Fahriza Irfansyah Harleni, Harleni Hartika Harahap, Afifah Hasratuddin, Hasratuddin Hendra Cipta Hidayah Nasution, Hijrah Himatun Khoiriyah Hizmi Wardani Irfanilia, Intan Irfansyah, Fahriza Ismail Husein, Ismail Khoiriyah, Himatun Lisma, Eryanti Lisma, Eryanti Lubis, Roshihan Mawazzi M. Fauzan Zannurrain Muhammad Ridwan Nenna Isya Syaputri Nurhalizah, Siti Nurjannah Nurjannah Panjaitan, Syarifah Utari Pranata, Anang Putri, Aprilla Queenty Dhea Haura Br Sitepu R Maisaroh Rezykiyah Siregar Rahmadhani Rahmadhani Rahmadhani, Rahmadhani Raidhatul Ilmi Rakhmawati, Fibri Ramadhani, Cahya Dwi Ramadhani, Deva Rezky Rangkuti, Robiatul Adawiyah Rima Aprilia Rima Aprilia Rina Widyasari Rizki Hannum Rizkina, Manisyah Rohimah, Nur Rusi Ulfa Hasanah S. , Dian Fadila Sarah, Henny May Silvia Harleni Sinaga, Bornok Sirait, Zakaria Alfikri Siregar, R. Maisaroh Rezekiyah Sofia, Nur Suci Dahlya Narpila, Suci Dahlya Sutarman Sutarman Sutarman Syahputri, Ziana Wardani, Putri Widyasari, Rina Yeni, Yetri Yulia Anita Siregar Yunisa, Fahira Audri Zulaika, Zulaika