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ENHANCING STUDENTS’ MATHEMATICAL REPRESENTATION ABILITY THROUGH MATHEMATICS LEARNING Azmidar Azmidar; Hartina Husan
Hipotenusa Journal of Research Mathematics Education (HJRME) Vol 5, No 2 (2022): Hipotenusa Journal of Research Mathematics Education (HJRME)
Publisher : Universitas Muhammadiyah Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36269/hjrme.v5i2.969

Several previous researchers indicated that students’ mathematical representation ability is still low because most of them have perceived that mathematics is very difficult, boring, not very practical, and has many abstract theorems that are very hard to understand. Another cause is the teaching and learning process used, which is mechanistic without considering students’ needs. Learning is more known as the process of transferring knowledge to students. Let students construct their knowledge with the physical and mental reflection that is done by activity in the new knowledge. This article is a literature study. This article aims to examine the Concrete-Pictorial-Abstract approach theoretically to improve students’ mathematics representation ability. The conclusion of this literature study is the Concrete-Pictorial-Abstract approach can be used as an alternative to improve students’ mathematical representation ability.

PERAMALAN DATA DERET WAKTU MENGGUNAKAN TRANSFORMASI WAVELET DISKRIT HAAR Hartina Husain; Amran Amran
Jurnal Matematika, Statistika dan Komputasi Vol. 19 No. 3 (2023): MAY, 2023
Publisher : Department of Mathematics, Hasanuddin University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20956/j.v19i3.24807

Discrete Wavelet Transform is a data transformation method that represents data in the time domain and frequency domain. This transformation appears to overcome the weakness of the Fourier transform which is only able to provide one domain information and is limited to certain windowing . The type of wavelet used is the Haar Wavelet. Identification of data periodicity using Periodogram analysis with Fisher's Test statistics. The transformed data is decomposed into two components, namely the Approximation Coefficient and the Detail Coefficient. Both components are predicted using the Box-Jenkins ARIMA method. Model selection was carried out using the Akaike Information Criterion (AIC ) and Mean Square Error (MSE) methods . The forecast obtained is then reconstructed into the time domain (inverse). The application of the ARIMA model through wavelet transformation to Makassar City Air Humidity data for the period September 2006 - December 2012 shows that forecasting on the Approximation Coefficient obtained by the ARIMA model (0,0,3) with AIC = 112.2142 and MSE = 29.673. While forecasting on Detailed Coefficients is obtained by the ARIMA model (2,1,0) with AIC = 89.2 and MSE = 15,989.

Penentuan Portofolio Saham Optimal Menggunakan Metode Markowitz Sebagai Dasar Keputusan Investasi Nisardi, Muhammad Rifki; Husain, Hartina; Kusnaeni, Kusnaeni; Resky, Aprizal
Square : Journal of Mathematics and Mathematics Education Vol 6, No 1 (2024)
Publisher : UIN Walisongo Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21580/square.2024.6.1.20441

A stock portfolio is a combination of two or more securities invested over a specific period and under certain conditions. This study analyzes the combination of stocks that can be formed into an optimal portfolio using the Markowitz method. The Markowitz method is employed to maximize returns and minimize the risks associated with a portfolio. This method uses a mathematical formulation that allows for adjustments based on risk tolerance levels and expected returns to achieve an optimal portfolio. The data used in this study comprises the monthly closing prices of stocks from five selected companies, namely ICBP, BBCA, TLKM, BBNI, and INCO, for the period from June 2019 to December 2022. The findings indicate a recommended portfolio with the lowest risk, known as the Minimum Variance Portfolio (MVP). The MVP comprises the following proportions: ICBP 36.10%, BBCA 36.28%, TLKM 17.84%, INCO 8.39%, and BBNI 1.39%. This combination of stock proportions yields an expected return of 8.58% and a portfolio risk of 21.52%.Keywords: Markowitz method, Minimum Variance Portfolio, Portfolio Optimization.

Analisis Regresi Data Panel dalam Memodelkan Faktor yang Mempengaruhi Stunting di Indonesia Ardiana Fatma Dewi; Hartina Husain
Journal of Mathematics, Computations and Statistics Vol. 7 No. 2 (2024): Volume 07 Nomor 02 (Oktober 2024)
Publisher : Jurusan Matematika FMIPA UNM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/jmathcos.v7i2.4493

Most nations deal with stunting to some extent, but emerging nations and those in the lower middle class, like Indonesia, have it the worst. Accordingly, the stunting epidemic remains the top priority for the Indonesian government at the present time. Because of its many potential future effects, stunting is a major worry for the government. Determining what variables may impact stunting in Indonesia is one approach to bolstering this initiative. Panel data will be used in this study due to the fact that different provinces in Indonesia exhibit different features on an annual basis. In 2020 and 2022, researchers in 34 of Indonesia's provinces used panel data regression analysis to identify the variables that impact stunting rates. Based on these findings, a model using a fixed effect estimator was determined to be the most effective. The results of the Chow and Hausman tests support this idea, respectively showing that fixed-effect models outperform common-effect models and random-effect models. Both full and partial tests show that the number of stunted children under five in Indonesia is significantly affected by the variables of poverty rate and gross regional product per capita. The panel data regression model using the poverty rate and GDP per capita provides a strong explanation for the prevalence of stunting in children less than five years old, as shown by the model's coefficient of determination of 94.29%.

Modeling Stunting Prevalence in Indonesia Mixed Spline Truncated and Fouries Series Nonparametric Regression Husain, Hartina; Irmayani, Irmayani; Rahman, Andi Oxy Raihan Machikami
Inferensi Vol 7, No 3 (2024)
Publisher : Department of Statistics ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j27213862.v7i3.20518

Stunting is a condition of failure to grow in children that occurs due to malnutrition chronic so that the child's height is shorter compared to his age. This research aims to model the factors that influence the prevalence of stunting in Indonesia based on a literature study using mixed spline truncated and fourier series nonparametric regression method. Data used is secondary data regarding the prevalence of stunting and several suspected factors influencing it, namely the percentage of the population with health insurance and the percentage of the population who smoked last month (Age ≥ 15 Years). Data was sourced from publications from the Ministry of Health and Badan Pusat Statistik (BPS) in 2022. The results show that the model combines a spline truncated component with one knot and a fourier series component with one oscillation , resulting in a minimum Generalized Cross Validation (GCV) Value of 34.46 and an Mean Square Error (MSE) of 4.89.

Integrating Local Culture to Work Ethics: A Holistic Approach to Mitigating Problematic Financing in Islamic Banks Budiono, I Nyoman; Abu Bakar, Ahmad; Haddade, Hasyim; Daily, Syarmillah; Husain, Hartina
BANCO: Jurnal Manajemen dan Perbankan Syariah Vol 6 No 2 (2024): Banco: Jurnal Manajemen dan Perbankan Syariah
Publisher : Institut Agama Islam Negeri Parepare

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35905/banco.v7i1.8784

Purpose – This study aims to explore the integration of Siri' culture, Islamic work ethic, and the 5C principles in preventing problematic financing in Islamic banks, particularly within the Bugis-Makassar community. Method – Using a qualitative approach, the research employed interviews, document analysis, and field observations to gather data. Thematic analysis was conducted to identify patterns and insights related to the interplay of cultural, ethical, and technical frameworks in financing practices. Findings –. The results reveal that Siri' culture fosters high moral responsibility among customers, enhancing their commitment to fulfilling financial obligations. Islamic work ethic strengthens accountability and transparency among bank employees, while the 5C principles provide a structured framework for financing decisions.. Practical implications – Banks can incorporate cultural dimensions, such as Siri' values of honesty (ada' tongeng), respect (sipakatau), and adherence to principles (getteng), into their credit analysis frameworks. This approach can enhance the quality of financing decisions by integrating ethical and moral considerations with technical assessments.. Originality/value – holistic approach, integrating cultural, ethical, and technical dimensions to mitigate financing risks

Analisis Faktor-Faktor Penyebab Prevalensi Stunting Di Indonesia: Implikasi Untuk Penanganan Stunting Oleh BPJS Kesehatan Husain, Hartina
Jurnal MSA (Matematika dan Statistika serta Aplikasinya) Vol 12 No 2 (2024): VOLUME 12 NO 2 TAHUN 2024
Publisher : Universitas Islam Negeri Alauddin Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/msa.v12i2.39799

Prevalensi stunting pada anak merupakan masalah kesehatan global yang mempengaruhi pertumbuhan dan perkembangan anak secara negatif. Penelitian ini bertujuan untuk melakukan analisis mengenai faktor-faktor yang mempengaruhi prevalensi stunting sebagai bentuk implikasi penanganan stunting oleh BPJS kesehatan. Data yang digunakan yaitu data sekunder dari 34 provinsi di Indonesia periode tahun 2022 mengenai faktor-faktor yang mempengaruhinya prevalensi stunting. Adapun data ini diperoleh dari publikasi oleh Badan Pusat Statistik (BPS) dan kemenkes. Hasil analisis didapatkan bahwa prevalensi stunting dipengaruhi secara signifikan oleh persentase ibu melahirkan ALH pada dua tahun terakhir dan ALH terakhir mengalami BBLR dan persentase rumah tangga dengan fasilitas sanitasi memadai. Model regresi linear berganda didapatkan nilai R-Square sebesar 0,715 artinya pemodelan yang dibuat sudah mewakili sebesar 71,5% prevalensi stunting di Indonesia. Implikasi BPJS kesehatan dalam menurunkan prevalensi stunting antara lain fokus pada pelayanan kesehatan ibu dan anak, penyuluhan dan kolaborasi, Kolaborasi dengan pihak terkait, dan penguatan program sanitasi.

Penentuan Portofolio Saham Optimal Menggunakan Metode Markowitz Sebagai Dasar Keputusan Investasi Nisardi, Muhammad Rifki; Husain, Hartina; Kusnaeni, Kusnaeni; Resky, Aprizal
Square : Journal of Mathematics and Mathematics Education Vol. 6 No. 1 (2024)
Publisher : UIN Walisongo Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21580/square.2024.6.1.20441

A stock portfolio is a combination of two or more securities invested over a specific period and under certain conditions. This study analyzes the combination of stocks that can be formed into an optimal portfolio using the Markowitz method. The Markowitz method is employed to maximize returns and minimize the risks associated with a portfolio. This method uses a mathematical formulation that allows for adjustments based on risk tolerance levels and expected returns to achieve an optimal portfolio. The data used in this study comprises the monthly closing prices of stocks from five selected companies, namely ICBP, BBCA, TLKM, BBNI, and INCO, for the period from June 2019 to December 2022. The findings indicate a recommended portfolio with the lowest risk, known as the Minimum Variance Portfolio (MVP). The MVP comprises the following proportions: ICBP 36.10%, BBCA 36.28%, TLKM 17.84%, INCO 8.39%, and BBNI 1.39%. This combination of stock proportions yields an expected return of 8.58% and a portfolio risk of 21.52%.Keywords: Markowitz method, Minimum Variance Portfolio, Portfolio Optimization.

PELATIHAN PENGGUNAAN APLIKASI GEOGEBRA UNTUK PENGEMBANGAN MEDIA PEMBELAJARAN MATEMATIKA BAGI GURU SMA DI KOTA PAREPARE Adhalia H, Nurul Fuady; Zaitun, Zaitun; Nisardi, Muh Rifki; Resky, Aprizal; Kusnaeni, Kusnaeni; Husain, Hartina; Tungga, Rifaldy Atlant
Jurnal Abdi Insani Vol 11 No 1 (2024): Jurnal Abdi Insani
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/abdiinsani.v11i1.1299

The The use of technology in the mathematics learning process by high school teachers in the city of Parepare is still lacking. Even though there are many learning media that can be utilized. The Geogebra application is a technological medium that has great potential in integrating mathematical concepts visually and interactively. The aim of implementing this PKM is to provide training to mathematics teachers who are members of MGMP Parepare to develop mathematics learning media at the high school level. The training method used is providing training assistance on the Geogebra application which consists of two stages. The preparation stages consist of observing, coordinating with partners, preparing the service implementation team and preparing the service implementation team regarding the training module. The implementation stages consist of giving a pre-test, providing an explanation regarding the Geogebra application, providing simulation assistance in making mathematics learning media using Geogebra, and providing a post-test. The results obtained from the training showed that 18 out of 20 people or around 90% of teachers were able to understand and apply the knowledge gained in training activities through a post-test given at the end of the activity. Thus, the implementation of the Geogebra Application training activities was considered successful because it had achieved the specified targets.

EDUKASI LITERASI KEUANGAN DIGITAL BAGI GENERASI Z DI SMK DDI PAREPARE Husain, Hartina; Zaitun, Zaitun; Nisardi, Muhammad Rifki; Resky, Aprizal; Kusnaeni, Kusnaeni; M.R, Andi Oxy Rayhan; Herlambang, Dwicki; Nurlia, Nurlia
Jurnal Abdi Insani Vol 11 No 3 (2024): Jurnal Abdi Insani
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/abdiinsani.v11i3.1744

Generation Z who are used to technology have digital financial literacy problems. They lack basic financial understanding, are prone to deceptive online offers, and are vulnerable to cyber fraud. This can result in difficulty achieving financial goals and being in debt. It is important to increase Gen Z's digital financial literacy through education, campaigns and developing educational applications so that they become a financially independent generation. This is the background for implementing this service, where the aim of this service activity is to introduce and integrate digital financial literacy education from an early age, we can help the younger generation to become more financially independent and skilled in managing their money in this digital era. It is hoped that this digital financial literacy education will be able to increase the understanding of generation Z, or in this case, students at SMK DDI Parepare, in increasing awareness about the importance of managing finances. The methods that will be used include webinars, discussions, questions and answers to student participants (i) at SMK DDI Parepare. This training was proven to be effective in increasing the knowledge of generation Z at DDI Parepare Vocational School regarding digital financial literacy, this was shown by the results of the pretest posttest difference test).

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