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All Journal International Journal of Evaluation and Research in Education (IJERE) Jurnal Penelitian dan Evaluasi Pendidikan SAINSMAT Journal of Education and Learning (EduLearn) Jurnal Daya Matematis JIPM (Jurnal Ilmiah Pendidikan Matematika) MaPan : Jurnal Matematika dan Pembelajaran JMPM: Jurnal Matematika dan Pendidikan Matematika BAREKENG: Jurnal Ilmu Matematika dan Terapan Jurnal Ilmiah Ecosystem Proximal: Jurnal Penelitian Matematika dan Pendidikan Matematika Inferensi Jurnal Pendidikan dan Kebudayaan Jurnal Statistika dan Matematika (Statmat) JAMBURA JOURNAL OF PROBABILITY AND STATISTICS Inteligensi : Jurnal Ilmu Pendidikan LOSARI: Jurnal Pengabdian Kepada Masyarakat Jurnal Ilmiah Wahana Pendidikan International Journal of Quantitative Research and Modeling Kognitif: Jurnal Riset HOTS Pendidikan Matematika Issues in Mathematics Education (IMED) Amaliah: Jurnal Pengabdian Masyarakat Seminar Nasional Pengabdian Kepada Masyarakat Indonesian Journal of Fundamental Sciences Vokatek : Jurnal Pengabdian Masyarakat Seminar Nasional Hasil Penelitian LP2M UNM Ininnawa: Jurnal Pengabdian Masyarakat ARRUS Jurnal Pengabdian Kepada Masyarakat Jurnal Kemitraan Responsif untuk Aksi Inovatif dan Pengabdian Masyarakat Riemann : Research of Mathematics and Mathematics Education Kreano, Jurnal Matematika Kreatif Inovatif Jurnal Hasil-Hasil Pengabdian dan Pemberdayaan Masyarakat (JHP2M) Journal of Mathematics, Computation and Statistics (JMATHCOS) International Journal of Education, Vocational and Social Science Issues in Mathematics Educations (IMED) Journal of Community Services and Development SAINSMAT: Jurnal Ilmiah Ilmu Pengetahuan Alam
Hisyam Ihsan
Department Of Mathematics, Faculty Of Mathematics And Natural Sciences, Universitas Negeri Makassar, Indonesia
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Optimasi Pendistribusian Air dengan Metode North West Corner dan Metode Modified Distribution di PDAM Wae Manurung Kabupaten Bone Syam, Rahmat; Ihsan, Hisyam; Muktamar, Muhammad Irham
Journal of Mathematics, Computations and Statistics Vol. 4 No. 2 (2021): Volume 04 Nomor 02 (Oktober 2021)
Publisher : Jurusan Matematika FMIPA UNM

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Abstract

This study discusses the Optimization using types of transportation model that application North West Corner method (NWC) and Modified Distribution Method (MODI) on the stock of water in PDAM Wae Manurung Bone Regency. The water distribution data is formulated with a transportation model, so that in order to obtain the model is generated a balance model with addition dummy variable and export table water distribution, obtained a feasible initial solution by calculation using North West Corner method (NWC). Based on a feasible initial solution obtained the optimum solution using the Modified Distribution Method (MODI). The results of this study indicate that with the application of the Transportation Model there was a optimization occurs in water distribution costs in Bone Regency in June 2019 of 52.22% compared to the calculation results by PDAM Wae Manurung Bone Regency.
Model Generalized Poisson Regression (GPR) dan Penerapannya pada Angka Pengangguran bagi Penduduk Usia Kerja di Provinsi Sulawesi Selatan Ihsan, Hisyam; Sanusi, Wahidah; Ulfadwiyanti, Risna
Journal of Mathematics, Computations and Statistics Vol. 3 No. 2 (2020): Volume 03 Nomor 02 (Oktober 2020)
Publisher : Jurusan Matematika FMIPA UNM

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This study discusses the formation of the Generalized Poisson Regression (GPR) model and its application to the unemployment rate for the working age population in South Sulawesi Province. This type of research is applied research that uses the Poisson regression model, namely Poisson regression and GPR models. The response variabel used is the total unemployment rate at working age which includes the workforce in South Sulawesi Province in 2017. The predictor variables used are the percentage of the workforce on the working age population, the Human Development Index, the percentage of work on the labor force, population density, and economic growth. This research uses the Maximum Likelihood Estimation (MLE) method to estimate parameters and produce a GPR model. The predictor variables which have a significant influence are the Human Development Index and the percentage of work on the labor force.
Pemodelan Penggunaan E-Money Pada E-Parking Kota Makassar Ihsan, Hisyam; Side, Syafruddin; Wulandari, Emi
Journal of Mathematics, Computations and Statistics Vol. 3 No. 2 (2020): Volume 03 Nomor 02 (Oktober 2020)
Publisher : Jurusan Matematika FMIPA UNM

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This study aims to build a model of the use of E-Money in E-Parking type SIRI (Susceptible - Infected - Recovered - Infected) in Makassar City. The added assumption is that people who have used E-Money can may return to cash payments on parking. This model is divided into three classes, namely vulnerable / potentially using parking, cash users, and E-Money users. The data used are primary data obtained by direct survey in the field. The survey was conducted by distributing questionnaires to 100 respondents randomly. The SIRI type mathematical model is used to determine the equilibrium point. The simulation results of the SIRI type model produce a base reproduction number (R0) of 0.021021 which means that the use of cash can decrease which causes the use of E-Money will increase in a certain period of time.
Pemodelan Matematika SEIRS Pada Penyebaran Penyakit Malaria di Kabupaten Mimika Hisyam Ihsan; Syafruddin Side; Musdalifah Pagga
Journal of Mathematics, Computations and Statistics Vol. 4 No. 1 (2021): Volume 04 Nomor 01 (April 2021)
Publisher : Jurusan Matematika FMIPA UNM

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This research aims to build a model of the spread of malaria diseases type SEIRS (Susceptible-Exposed-Infected-Recovered-Susceptible) by adding treatment parameters (treatment) in the Exposed class and the assumption that humans who recover can be vulnerable to malaria again. This model is divided into four classes namely, vulnerable, infected but not yet active, infected, and cured. The data used are data on the number of malaria sufferers from the Mimika District Health Office in 2018. The mathematical model of the type SEIRS is used to determine the equilibrium point. Based on the simulation results of the SEIRS model, the basic reproduction number (R0) of 0.09 indicates that the spread of malaria does not cause others to contract malaria.Keywords: , , ,
Solusi Persamaan Schrodinger dengan Menggunakan Metode Transformasi Diferensial Muhammad Abdy; Hisyam Ihsan; Dhea Ayu Rossyana Dewi
Journal of Mathematics, Computations and Statistics Vol. 4 No. 1 (2021): Volume 04 Nomor 01 (April 2021)
Publisher : Jurusan Matematika FMIPA UNM

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This study discusses the solution of linear partial differential equations, namely Schrodinger equation. The solution of the equation is done by using the differential transformation method which is a semi-numerical-analytical method, it can be used to solve both ordinary differential equations and linear or nonlinear partial differential equations. Differential transformation method is a method uses the theory of rank expansion in the form of transformation to determine solutions. In this study, two initial values in the given Schrodinger equation were used. Solutions with both initial values given are obtained using the Maclaurin series expansion. Then, the solution is simulated using Maple18 software. As a result, the differential transformation method in this study is one method that is able to solve a solution to the Schrodinger equation.
Pemodelan Pencemaran Udara sebagai Solusi Penurunan Kualitas Udara Menggunakan Generalized Space-Time Autoregressive di Kota Makassar Farhan, Muhammad; sanusi, wahidah; Ihsan, Hisyam
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.v7i2.4304

Abstract

This study discusses the application of the Generalized Space-Time Autoregressive (GSTAR) model to analyze air pollution in Makassar City, focusing on NO2 and SO2 pollutants from 2017 to 2023. Data were collected from four different sampling locations: transportation, industry, residential, and office areas. This study uses inverse distance weighting and cross-correlation normalization to develop the forecasting model. The analysis results show that the GSTAR (1;0;2) model for NO2 pollutants and GSTAR (1;0;1) for SO2 pollutants are the best models, with residuals meeting the assumptions of white noise and normal distribution. Therefore, this model can be used to predict future air pollution levels.
Pelatihan Penulisan Karya Ilmiah dengan Memanfaatkan Jenni AI bagi Guru-Guru di Kabupaten Jeneponto Hisyam Ihsan; Rosidah Rosidah; Fauziyyah Alimuddin; St. Zulaiha Nurhajarurahmah; Fitrah Asma Darmawan
Jurnal Hasil-Hasil Pengabdian dan Pemberdayaan Masyarakat Vol. 3 No. 2 (2024): Volume 03 Nomor 02 (Oktober 2024)
Publisher : Jurusan Matematika FMIPA UNM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/jhp2m.v3i2.4673

Abstract

Penulisan karya ilmiah adalah bagian penting dalam pengembangan profesional guru, terutama di daerah yang memiliki keterbatasan akses teknologi seperti Kabupaten Jeneponto. Banyak guru di wilayah ini belum terbiasa menggunakan teknologi dalam proses penulisan, sehingga tantangan waktu dan akurasi menjadi kendala yang umum. Penelitian ini bertujuan untuk memperkenalkan teknologi Jenni AI, sebuah alat bantu berbasis kecerdasan buatan, guna mendukung efisiensi dan kualitas penulisan ilmiah guru. Pelatihan dilaksanakan melalui kerja sama dengan MGMP Jeneponto pada Juli 2024 dan melibatkan pengenalan teknologi, pendampingan penulisan, serta diskusi interaktif. Hasilnya menunjukkan bahwa 50% peserta mampu menyelesaikan bagian pendahuluan dalam waktu kurang dari tiga jam, dan para guru melaporkan peningkatan kepercayaan diri dalam menggunakan bahasa akademik. Tantangan terbesar adalah ketiadaan data penelitian yang memadai, sehingga rekomendasi disampaikan agar peserta membawa data dalam pelatihan berikutnya. Pelatihan ini berhasil menunjukkan efektivitas teknologi dalam mendukung proses penulisan ilmiah guru di daerah terpencil.
Interrelationship of Mathematical Problem-Solving Ability, Mathematical Disposition, and Gender among Grade 10 Students Tampa, Alimuddin; Ihsan, Hisyam; Sulleng, Ofra Maylin
Kreano, Jurnal Matematika Kreatif-Inovatif Vol. 15 No. 2 (2024): Kreano, Jurnal Matematika Kreatif-Inovatif
Publisher : UNNES JOURNAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/8rfacf35

Abstract

Although numerous studies have examined mathematical disposition (MD) and mathematical problem-solving (MPS) ability, a significant gap remains in understanding their interaction with gender differences. This study aimed to analyze the effect of MD on MPS, investigate gender-based differences, and identify the most influential MD indicators. Conducted in South Sulawesi, Indonesia, this research involved 300 tenth-grade students using an ex-post facto quantitative design. The instruments comprised a mathematical problem-solving test and a mathematical disposition questionnaire. Data were analyzed using descriptive and inferential statistics. The findings indicated that 77.6% of students were classified as having low MD, while 71.0% exhibited similarly low levels of MPS. MD significantly affected MPS (59.5%), with the indicator 'appreciation of the value of mathematics' making the largest contribution (0.293). Significant gender differences emerged in MD, whereas no such differences were observed in MPS. These findings highlight the importance of innovative and differentiated teaching strategies that prioritize improving students’ MD. Such strategies are essential for fostering inclusive, responsive, and equity-oriented mathematics education, a commitment that educators and policymakers should actively strive to uphold. Meskipun banyak penelitian telah mengeksplorasi disposisi matematis (DM) dan kemampuan pemecahan masalah matematika (MPS), kesenjangan signifikan masih ada dalam memahami interaksinya dengan perbedaan gender. Penelitian ini bertujuan untuk menganalisis pengaruh DM terhadap MPS, mengeksplorasi perbedaan berdasarkan gender, serta mengidentifikasi indikator DM yang paling berpengaruh. Penelitian ini melibatkan 300 siswa kelas sepuluh di Sulawesi Selatan, Indonesia, dengan desain kuantitatif ex-post facto. Instrumen penelitian meliputi tes kemampuan pemecahan masalah matematika dan angket disposisi matematis. Data dianalisis menggunakan statistik deskriptif dan inferensial. Hasil menunjukkan 77.6% siswa berada dalam kategori rendah pada DM, sementara 71.0% menunjukkan tingkat MPS yang serupa. DM memberikan kontribusi signifikan terhadap MPS (59.5%), dengan indikator 'apresiasi terhadap nilai matematika' memberikan kontribusi terbesar (0.293). Terdapat perbedaan signifikan pada DM berdasarkan gender, namun tidak pada MPS. Temuan ini menyoroti pentingnya strategi pengajaran yang inovatif dan berbeda yang memprioritaskan peningkatan MD siswa. Strategi semacam itu sangat penting untuk mendorong pendidikan matematika yang inklusif, responsif, dan berorientasi pada kesetaraan, sebuah komitmen yang harus ditegakkan oleh para pendidik dan pembuat kebijakan secara aktif.
Teachers' Perceptions of the Implementation of Scaffolding-Metacognitive Strategies in Mathematics Learning Dassa, Awi; Sutamrin; Ihsan, Hisyam; Nasir, Norma; Nurhajarurahmah, St. Zulaiha
JIPM (Jurnal Ilmiah Pendidikan Matematika) Vol. 13 No. 1 (2024)
Publisher : Universitas PGRI Madiun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25273/jipm.v13i1.21329

Abstract

Scaffolding-metacognitive is a strategy to help students understand mathematical material, but some teachers do not yet understand the extent to which they can use the metacognitive scaffolding strategy in the learning process. This study aims to determine teachers' perceptions of the implementation of scaffolding-metacognitive strategies in mathematics learning in secondary schools. Scaffolding-metacognitive strategies, combining step-by-step teaching with the development of students' awareness and control of their thinking processes, Scaffolding-metacognitive strategies are an effective approach to improving students' understanding of complex mathematical concepts and critical thinking skills. This study used a qualitative descriptive method and the participants consisted of 15 mathematics teachers from several high schools in Makassar City and Gowa Regency. Data were collected through in-depth interviews and direct observation during the learning process. We used the Miles & Huberman analysis framework to analyze the collected data, namely: (1) data reduction; (2) data interpretation and condensation; (3) verification and drawing conclusions. The results of data analysis showed that 60% of teachers did not understand the scaffolding-metacognitive strategy, teachers mentioned several implementation challenges, such as the difficulty of adapting strategies to students' different abilities and limited time to plan and implement learning. In addition, teachers must estimate students' actual and potential knowledge so that teachers can provide scaffolding according to students' needs. Teachers need further support and training to overcome the challenges they face when implementing scaffolding-metacognitive strategies. This research makes an important contribution to the development of more effective educational policies and teacher training programs to improve the quality of mathematics education in secondary schools.
Negative Binomial Regression Analysis of Factors Influencing Stunting Cases in Central Lombok Regency Putri Ananda, Elma Yulia; Annas, Suwardi; Ihsan, Hisyam; Sukarna, Sukarna; Aswi, Aswi
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.v7i3.21436

Abstract

Poisson regression is commonly used to model count data, relying on the crucial assumption of equidispersion, where the mean and variance are equal. However, this assumption is often violated in real-world data, which can exhibit overdispersion or underdispersion. When this occurs, the standard Poisson model becomes unsuitable, leading to biased and inaccurate parameter estimates. To address overdispersion in count data, Negative Binomial Regression (NBR) is a viable alternative, as it incorporates an additional parameter to account for variability greater than the mean. Stunting, a condition characterized by significantly impaired growth in infants, has been a primary concern for the Indonesian government during the 2019-2024 period, particularly in Central Lombok district. Reducing stunting rates is critical to ensuring an optimal quality of life for future generations. Despite extensive research on stunting, the application of NBR to analyze factors influencing stunting cases in Central Lombok Regency has not yet been explored. This study aims to implement the NBR model to identify the determinants of stunting in Central Lombok. Data were collected from 29 community health centers (PUSKESMAS) in Central Lombok. The findings indicate that an increase in the number of malnourished toddlers is associated with a corresponding rise in stunting cases. Similarly, a higher prevalence of low-birth-weight infants is linked to an elevated incidence of stunting.
Co-Authors A. Asman Abdul Halim Abdullah Abdul Kadir Abdul Kadir Abdul Rahman Adesty Meilyani Lukman Adnan Ahmad Israk Ahmad Jibril Gifrany Ahmad Talib Ahmad Zaki AHMAD ZAKI Ahmad Zaki Ahmad, Asdar Akhyar, Andi Muh. Aldri Frinaldi Aleytha Ilahnugrah Kurnadipare Alimuddin Alimuddin, Fauziyyah Andi Ammar Akrar Andi Asmawati Azis Andi Syukriani Andi Widya Pratiwi Anas Andini, Reski Annas, Suwardi Aqil Fadhil MS Asdar Asman asmaun, asmaun ASTRI YUNI HASHARI Aswar Aswar Aswi, Aswi Atikafairuq Selviana Awi Awi Dassa Awi Dassa, Awi Ayu Alfina Pratiwi Amar Baharuddin Baharuddin Baso Intang Sappaile Baso Intang Sappaile Bernard Bernard Bernard Bernard Bernard Bernard, Bernard Dhea Ayu Rossyana Dewi Dhea Ayu Rossyana Dewi Emi Wulandari Fadhilah Nur Sa’diyyah Fahrul Ahmad Fahrul Ahmad Fairul, Muh. Fajar Arwadi Fauzan Abdillah Aris Fauziyyah Alimuddin Febrianti Khoirunnisa Fitrah Asma Darmawan H. Hasriani Haeriah Hamka Haeriah Hamka Hafid, Nur Aqidah Hamzah Upu Haris Hasriani Hassan, Muhammad Nasiru Heria Utami Herman Ilham Minggi Ilmi Nurfaizah Rustam Irwan IRWAN IRWAN Irwan Irwan Ivan, Zhalsa Larasati Ja'faruddin Ja'faruddin, Ja'faruddin Jafaruddin Ja’faruddin Julinda Sari kalfin Kalfin Kardilla Khadijah Khadijah Khadijah Khaeruddin Khaeruddin Kurnadipare, Aleytha Ilahnugrah Kurniati, Ratnah Lutfiah M. Amirullah Mansyur Mansyur Mar'ah Mutaaliah Maulidiyah Ananda Nasrul Mohd Salleh Abu Muh. Fairul Muh. Yahya Muhammad Abdy Muhammad Abdy Muhammad Abdy Muhammad Ammar Naufal Muhammad Farhan Muhammad Ikram Muhammad Iqbal Muhammad Irham Muktamar Muhammad Nur Akbar Syah Muhammad Saddang Muktamar, Muhammad Irham Musdalifa Pagga Musdalifah Pagga N Nurfadillah Nasir, A. Muhajir Nasir, Norma Nasrullah Nensi, Andi Illa Erviani Ni Luh Sri Diantini Novia Fridayanti Nur Hikmayanti Syam Nur Syuaiba Nurfadillah Nurfadya, Masyta Nurfitrah Nurdin Nurkahfiah Ridwan Nurul Rahmah Aisyah Jabir Nurwati Djam'an Nurwati Djam’an Nurwijayanti Pagga, Musdalifa Pratiwi, Andi Citra Putri Ananda, Elma Yulia Putri Anugrah Wanti Putri Regina Pratiwi R. Rasmini R. Rasmini R. Ruslin Rahman, Abdul Rahman, Muhammad Fatur Rahmat Syam Ramdhani, Nurfitriah Rifqah Meilani Risna Ulfadwiyanti Riswansyah Rondiyah Rondiyah Rosidah Rosidah Rosidah Ruslan Ruslan Ruslan Ruslan Rusli Rustam, Ilmi Nurfaizah Saddang, Muhammad Sahlan Sidjara Samsu Alam B Samsuddin, Auliaul Fitrah Sa’diyyah, Fadhilah Nur Selvi Rahmatia Selvi Rahmatia Sharifah Osman St. Zulaiha Nurhajarurahmah Sufri Mashuri Sufri Sukarna Sukarna Sukarna Sukarna, Sukarna Sulleng, Ofra Maylin Suradi Tahmir Sutamrin Sutamrin, Sutamrin Suwardi Annas Syafruddin Side Syahid, Nurul Khatimah Syamsuddin Mas'ud Syuaiba, Nur Tahmir, Suradi Talib, Dr. Ahmad Tampa, Alimuddin Ulfadwiyanti, Risna Usman Mulbar Usman Mulbar Usman Mulbar Variska Anjani Wahidah Sanusi Wahidin Ashari, Nur Wahyuni, Maya Sari Waode, Yully Sofyah Wihda, Wihdatul Ummi Wulandari, Emi Yudhi Alfian Yudhi Alfian Zahrah Zafirah Zahrah, Fadliyah Zainal, Zaid