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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 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 Kognitif: Jurnal Riset HOTS Pendidikan Matematika Issues in Mathematics Education (IMED) Amaliah: Jurnal Pengabdian Masyarakat Seminar Nasional Pengabdian Kepada Masyarakat SAINSMAT: Jurnal Ilmiah Ilmu Pengetahuan Alam 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 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)
Hisyam Ihsan
Department Of Mathematics, Faculty Of Mathematics And Natural Sciences, Universitas Negeri Makassar, Indonesia
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Ethnomathematics Exploration of Traditional Bugis-Makassar Food Based on The Mathematization of Iceberg Realistic Mathematics Education Ja’faruddin; Muhammad Ammar Naufal; Hisyam Ihsan
Issues in Mathematics Education (IMED) Vol. 7 No. 1 (2023): Volume 7 Nomor 1 Tahun 2023
Publisher : Program of Mathematics Education Department of Mathematics Faculty of Mathematics and Natural Sciences (FMIPA) Universitas Negeri Makassar (UNM)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/imed.v7i1.7588

Abstract

This study aims to explore geometric ideas in traditional food called Tumpi-Tumpi, a typical Bugis Makassar cuisine, and to develop problem-solving abilities using the Iceberg Realistic Mathematics Education (RME) model. This study used a qualitative study with descriptive exploration. Data was collected through observation, interviews, and documentation. Based on the design of Miles and Huberman, the data analysis technique consisted of data reduction, data presentation, and conclusion/verification. According to data collection results, the traditional Bugis-Makassar cuisine Tumpi-Tumpi contains ethnic mathematical components (geometrical concepts), namely, the plane figure of an equilateral triangle, and is used to solve mathematical problems. The Iceberg RME math technique utilized "the model of" and "the model for" to determine an equilateral triangle's features, area formula, and perimeter. Iceberg-based ethnomathematics collaboration may enhance high school student's interest in learning.
Pengaruh Model Pembelajaran terhadap Motivasi Belajar Matematika Siswa Haeriah Hamka; Baso Intang Sappaile; Hisyam Ihsan
Issues in Mathematics Education (IMED) Vol. 1 No. 2 (2017): Volume 1 Nomor 2 Tahun 2017
Publisher : Program of Mathematics Education Department of Mathematics Faculty of Mathematics and Natural Sciences (FMIPA) Universitas Negeri Makassar (UNM)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/imed.v1i2.7619

Abstract

This research is a quasi experiment which involved two groups with different treatment. Objectives of this research were to know the students’ mathematics learning motivation between the application of conventional and hypnoteaching learning models on students grade X. The population in this research is students grade X in State Senior High School in Makassar, South Sulawesi and then two schools and two classes are selected by cluster random technique as research sample. Data analysis by using descriptive and inferential statistics. The result was obtained the improving of mathematics learning motivation on students who taught by using hypnoteaching learning model is greater than the improving of mathematics learning motivation on students who taught by using conventional learning model.
Analysis of Geographically Weighted Negative Binomial Regression (GWNBR) Model with Adaptive Bisquare Kernel Weighting on Factors Causing Acute Respiratory Tract Infection (ARI) in Toddlers in South Sulawesi Province Wihda, Wihdatul Ummi; Ihsan, Hisyam; Ja'faruddin, Ja'faruddin
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.v8i1.7745

Abstract

Abstrak. Infeksi Saluran Pernapasan Akut (ISPA) pada balita masih menjadi masalah kesehatan serius di Sulawesi Selatan dengan pola sebaran kasus yang bervariasi antar wilayah. Penelitian ini dilatarbelakangi oleh perlunya pendekatan statistik yang mampu menangkap heterogenitas spasial, yaitu model Geographically Weighted Negative Binomial Regression (GWNBR).Penelitian ini bertujuan untuk mengestimasi parameter model Geographically Weighted Negative Binomial Regression(GWNBR) dengan pembobot adaptive bisquare kernel, menganalisis penyebaran spasial kasus Infeksi Saluran Pernapasan Akut (ISPA) pada balita, serta mengidentifikasi faktor-faktor signifikan yang memengaruhi kejadian ISPA di Provinsi Sulawesi Selatan. Data yang digunakan merupakan data sekunder dari survei kesehatan Badan Pusat Statistik (BPS) Indonesia, mencakup 24 kabupaten/kota selama satu tahun. Hasil menunjukkan bahwa model GWNBR mampu menangkap variasi spasial antarwilayah dengan baik, dibuktikan oleh nilai AIC terendah dan Quasi-global R² sebesar 0,9489. Faktor-faktor yang secara signifikan memengaruhi ISPA pada balita meliputi persentase perokok usia ≥15 tahun, jumlah penduduk miskin, indeks literasi masyarakat, serta tingkat pendidikan. Di beberapa wilayah, seperti Kabupaten Barru, persalinan tanpa fasilitas kesehatan juga berpengaruh signifikan. Temuan ini menegaskan pentingnya pendekatan spasial dalam perumusan kebijakan kesehatan yang responsif terhadap karakteristik lokal. Kata Kunci: Analisis spasial, GWNBR, ISPA, overdispersi
Analisis Model NQC pada Eksistensi Live Music terhadap Perkembangan Cafe di Kota Makassar Ihsan, Hisyam; Annas, Suwardi; Ivan, Zhalsa Larasati
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.v7i1.3143

Abstract

Penelitian ini bertujuan untuk membangun dan menganalisis model Matematika NQC pada pengaruh eksistensi live music terhadap perkembangan cafe di Kota Makassar. Selanjutnya dilakukan analisis model Matematika NQC dalam menentukan titik kesetimbangan, kestabilan model dan penentuan bilangan reproduksi . Simulasi dilakukan dengan menggunakan software Maple berdasarkan data primer yang diperoleh melalui kuisoner mulai Maret 2023 sampai dengan Mei 2023. Hasil penelitian ini diperoleh dari simulasi yaitu simulasi menggunakan strategi implementasi eksistensi live music. Pada simulasi tersebut diperoleh bilangan reproduksi dasar yang artinya bahwa tidak ada cafe yang sepi akibat pengaruh live music dan dalam jangka waktu tertentu cafe yang sepi pengunjung akan semakin berkurang atau bahkan menghilang dari populasi sehingga sangat besar pengaruh live music terhadap perkembangan cafe.
Upskilling Guru Matematika Kuttab Nurul Wahyain Sebagai Upaya Peningkatan Keterampilan Mengajar Operasi Perkalian Naufal, Muhammad Ammar; Asdar; Ihsan, Hisyam; M. Amirullah; Aswar; Haris; Akhyar, Andi Muh.; Saddang, Muhammad
Jurnal Hasil-Hasil Pengabdian dan Pemberdayaan Masyarakat Vol. 2 No. 1 (2023): Volume 02 Nomor 01 (April 2023)
Publisher : Jurusan Matematika FMIPA UNM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/jhp2m.v2i1.161

Abstract

Kajian ini membahas tentang kegiatan Upskilling guru matematika di Kuttab Nurul Wahyain dalam upaya peningkatan keterampilan mengajar operasi perkalian. Dalam era digital yang terus berkembang, guru perlu terus meningkatkan kualitas pengajaran mereka. Operasi perkalian merupakan konsep matematika yang penting untuk mempersiapkan siswa menghadapi tantangan matematika yang lebih kompleks di masa depan. Kegiatan Upskilling yang inovatif telah diterapkan untuk memperkuat kemampuan guru matematika dalam mengajar operasi perkalian. 31 guru yang bukan dari latar belakang pendidikan matematika dilibatkan dalam program pelatihan yang meliputi metode pengajaran inovatif, diskusi kolaboratif, dan praktik. Melalui Upskilling ini, para guru dapat mengembangkan pemahaman yang mendalam tentang operasi perkalian dan keterampilan dalam merancang aktivitas pembelajaran yang efektif khususnya dalam menggunakan jarimatika. Dampaknya signifikan, dengan guru yang lebih percaya diri, mampu mengatasi kesulitan siswa, dan mampu mengajarkan operasi perkalian dengan jarimatika. Upaya ini merupakan langkah penting untuk mencapai tujuan pendidikan yang lebih tinggi dan mempersiapkan siswa untuk sukses di dunia yang semakin kompleks. Kesimpulannya, kegiatan Upskilling guru matematika menjadi faktor kunci dalam meningkatkan keterampilan mengajar operasi perkalian dan memberikan pendidikan matematika yang berkualitas tinggi kepada siswa.
Statistical Literacy Learning Design Using Concept Maps To Facilitate Statistical Literacy Abilities Baharuddin, Baharuddin; Suradi Tahmir; Hisyam Ihsan
International Journal of Education, Vocational and Social Science Vol. 4 No. 02 (2025): May, International Journal of Education, Vocational and Social Science( IJVESS
Publisher : Cita konsultindo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63922/ijevss.v4i02.1679

Abstract

Statistical literacy is an important skill that must be possessed by students, especially in the field of mathematics education, to understand and analyze data effectively. This study aims to develop a statistical literacy learning design by utilizing concept maps that meet the criteria of validity, practicality, and effectiveness. The research design used in this study is Educational Design Research (EDR). The subjects of this study involved Mathematics Education students of UIN Alauddin Makassar. The research instruments used include validation sheets, guidebooks, student worksheets, test instruments, learning modules, response questionnaires, learning design implementation sheets, and student activity observation sheets. Data analysis was carried out based on three main aspects, namely validity, practicality, and effectiveness. Hypothesis testing was carried out using the Independent sample t-test to compare student learning outcomes between the experimental class using statistical literacy learning design with concept maps and the control class using conventional learning. The results of the analysis show that this learning design is valid after going through a validation process by experts, practical based on positive responses from lecturers and students, and effective in improving student learning outcomes. The results of the hypothesis test using the Independent sample t-test showed that there was a significant difference between the experimental class and the control class, with an average value of student learning outcomes in the experimental class of 81.04, exceeding the KKM of 75, and classical completeness reaching 83.33%. Thus, the developed statistical literacy learning design has proven effective in improving students' understanding and skills in statistical literacy.
PELATIHAN ACADEMIC WRITING MELALUI PEMANFAATAN TEKNOLOGI ARTIFICIAL INTELLIGENCE (AI) Naufal, Muhammad Ammar; Pratiwi, Andi Citra; Dassa, Awi; Ihsan, Hisyam; Azis, Andi Asmawati; Fridayanti, Novia
Ininnawa : Jurnal Pengabdian Masyarakat Vol. 3 No. 1 (2025): Vol. 3 No. 1 (2025): Volume 03 Nomor 01 (April 2025)
Publisher : Program Studi Manajemen FEB UNM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26858/ininnawa.v3i1.8496

Abstract

Academic writing is one of the essential skills that university students must acquire, especially in preparation for the IELTS writing test, which demands not only English language proficiency but also logical and systematic thinking skills. Although this skill is crucial, the majority of students in the Faculty of Mathematics and Natural Sciences (FMIPA) at Universitas Negeri Makassar (UNM) still demonstrate limited competence in academic writing, particularly for IELTS purposes. One strategic effort to enhance this skill is through a student mentoring program supported by the FMIPA International Students Community (FISCO), a group comprising students and alumni. This community serves as mentors and teaching assistants in the English for Subject Matter (ESM) program, which specifically guides students in the International Class Program (ICP) in mastering academic skills, with a focus on academic writing as a key component of the IELTS test. Although the mentors generally possess strong academic backgrounds, many of them still face challenges in effectively teaching academic writing techniques. Therefore, this community service activity aims to improve the academic writing skills of ICP mentors through the utilization of Artificial Intelligence (AI) technology. The program was carried out in three main stages: (1) presentation of the material, (2) practical application of AI tools, and (3) interactive discussion. Evaluation results based on questionnaires distributed at the end of the training session indicated that all participants responded positively to the training and showed increased knowledge regarding key aspects of academic writing for IELTS Writing Task 1 and Task 2.
IMPLEMENTATION OF BACKPROPAGATION AND HYBRID ARIMA-NN METHODS IN PREDICTING ACCURACY LEVELS OF RAINFALL IN MAKASSAR CITY Ihsan, Hisyam; Irwan, Irwan; Nensi, Andi Illa Erviani
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 18 No 4 (2024): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol18iss4pp2435-2448

Abstract

Hybrid ARIMA-NN is a combined approach of the ARIMA model used to capture linear patterns in time series data and Artificial Neural Networks (ANN) to handle non-linear and stochastic patterns. Using a gradient descent algorithm, backpropagation adjusts synaptic weights based on the error between the network's prediction and actual training data values. In this study, a comparison was made between the Backpropagation method and Hybrid ARIMA-NN in forecasting rainfall in Makassar City. Rainfall data in Makassar City uses data from the rainfall measuring station at the Paotere Maritime Meteorological Station in Makassar. The activation functions used are ReLU and Leaky ReLU with epoch parameters set at 350, and learning rates of 0.01, 0.001, 0.0001, and 0.00001. The two best methods selected for further evaluation are Backpropagation with architecture 12-32-16-8-1 and Hybrid ARIMA-NN (ARIMA [4,0,1]-NN 12-256-128-64-1). The ARIMA model (4,0,1) with AIC values of 1303.4 and RMSE 162,369 is the best compared to other models, which aligns with the advantages of backpropagation architecture. The results showed that the Backpropagation method excelled with an RMSE value of 137.320 or 0.1149, indicating high accuracy in forecasting changes in seasonal trends and patterns. Hybrid ARIMA-NN gives good results with RMSE 145.834, as residues contain better nonlinearity compared to ARIMA models (4,0,1), although it shows a slightly higher error rate compared to Backpropagation.
Generalized Space-Time Autoregressive Moving Average Model with Rainfall as Exogenous Variable for Inflation Data in Sulawesi Island Rahman, Muhammad Fatur; Ihsan, Hisyam; Sanusi, Wahidah
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.v8i2.8798

Abstract

The Generalized Space-Time Autoregressive Moving Average with Exogenous Variables (GSTARMAX) model is an extension of the Generalized Space-Time Autoregressive Moving Average (GSTARMA) model, incorporating an exogenous variable (X) to enhance model accuracy while accounting for external factors. The advantage of the GSTARMAX model is its ability to accommodate location heterogeneity and generate a picture of an event for several future periods while considering other factors outside the scope of observation. This study applies the GSTARMAX model approach to analyze inflation data in Sulawesi Island, considering rainfall as an exogenous variable. Given the extreme and unpredictable climate changes, particularly rainfall in the Sulawesi region, which have become an annual phenomenon in recent years. This not only impacts community activities but also triggers uncertainty in future inflation. Uncontrolled inflation affects the decline in purchasing power, increases production costs, and disrupts goods distribution. Therefore, the objective of this study is to develop a model that can describe inflation in Sulawesi Island based on historical inflation and rainfall data. This study discusses the application of the Generalized Space-Time Autoregressive Moving Average with Exogenous Variables (GSTARMAX) model to analyze inflation in Sulawesi Island during the period 2020-2024. The data collected are from six provinces in Sulawesi Island: South Sulawesi, Southeast Sulawesi, West Sulawesi, Central Sulawesi, North Sulawesi, and Gorontalo. This study uses inverse distance weighting and cross-correlation normalization to build the model. The results indicate that the GSTARMAX (11;0;0) (1;2;0) or GSTARX (11) (1;2;0) model using cross-correlation normalization weights is the best model for inflation data in Sulawesi Island, with residuals that meet the white noise assumption. This means the model can be used to forecast future inflation.
Pengaruh Kecerdasan Linguistik, Kecerdasan Emosional, Kecerdasan Adversitas, dan Kecerdasan Spasial terhadap Hasil Belajar Geometri Peserta Didik Ihsan, Hisyam; Bernard, Bernard; Sa’diyyah, Fadhilah Nur
Kognitif: Jurnal Riset HOTS Pendidikan Matematika Vol. 4 No. 1 (2024): January - March 2024
Publisher : Education and Talent Development Center Indonesia (ETDC Indonesia)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51574/kognitif.v4i1.1475

Abstract

Penelitian ini bertujuan untuk mengetahui seberapa besar pengaruh pengaruh Kecerdasan Linguistik (KL), Kecerdasan Emosional (KE), Kecerdasan Adversitas (KA) terhadap Hasil Belajar Geometri (HBG) melalui Kecerdasan Spasial (KS) peserta didik Kelas VIII SMPIT Nurul Fikri Makassar. Penelitian ini menggunakan jenis ex-post facto dengan variabel eksogen dalam penelitian ini adalah KL,KE, dan KA, variabel intervening yaitu KS, serta variabel endogen yaitu HBG. Populasi penelitian adalah seluruh siswa kelas VIII SMPIT Nurul Fikri Makassar, ukuran sampel yang digunakan yaitu 105 peserta didik. Sampel ditentukan dengan systematica random sampling. Teknik analisis data yang digunakan adalah analisis statistika deskriptif dan statistika inferensial dengan menggunakan metode analisis Structural equation Modeling (SEM). Hasil penelitian menunjukkan bahwa KL dan HBG berada pada kategori sangat tinggi. KE, KA, dan KS berada pada kategori tinggi. Selanjutnya, kami menemukan bahwa KA memiliki pengaruh positif dan signifikan secara langsung terhadap KS, sedangkan KL dan KE memiliki pengaruh positif secara langsung terhadap KS namun tidak signifikan. Selanjutnya KL, KE, KA, dan KS memiliki pengaruh positif secara langsung dan signifikan terhadap HBG. Kemudian untuk pengaruh tidak langsungnya, KL dan KE berpengaruh positif dan signifikan secara tidak langsung terhadap HBG melalui KS, sedangkan KA berpengaruh positif secara tidak langsung terhadap HBG melalui KS namun tidak signifikan.
Co-Authors A. Asman Abdul Halim Abdullah Abdul Kadir Abdul Kadir Abdul Rahman Adnan Ahmad Talib Ahmad Zaki 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 Andini, Reski Annas, Suwardi Asdar Asman ASTRI YUNI HASHARI Aswar Aswar Aswi, Aswi Aswi, Aswi Awi Awi Dassa Awi Dassa, Awi Ayu Alfina Pratiwi Amar Ayu Aqilah, Putri 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 Fauziyyah Alimuddin Febrianti Khoirunnisa Fitrah Asma Darmawan H. Hasriani Haeriah Hamka Haeriah Hamka Hafid, Nur Aqidah Hamzah Upu Haris Hasriani Hassan, Muhammad Nasiru Ilham Minggi Ilmi Nurfaizah Rustam IRWAN IRWAN Irwan Irwan Ivan, Zhalsa Larasati Ja'faruddin, Ja'faruddin Jafaruddin Ja’faruddin Khadijah Khadijah Khadijah Khaeruddin Khaeruddin Kurnadipare, Aleytha Ilahnugrah Kurniati, Ratnah M. Amirullah Maulidiyah Ananda Nasrul Mohd Salleh Abu Muh. Fairul Muhammad Abdy Muhammad Abdy Muhammad Abdy Muhammad Ammar Naufal Muhammad Farhan Muhammad Iqbal Muhammad Irham Muktamar Muhammad Nur Akbar Syah Muktamar, Muhammad Irham Musdalifa Pagga Musdalifah Pagga N Nurfadillah Nasir, A. Muhajir Nasir, Norma Nasrullah Nensi, Andi Illa Erviani Novia Fridayanti Nur Hikmayanti Syam Nur Syuaiba Nurfadillah Nurfadya, Masyta Nurkahfiah Ridwan 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 Risna Ulfadwiyanti Rondiyah Rondiyah Rosidah Rosidah Rosidah Ruslan Ruslan Ruslan Ruslan Ruslan Rusli Rustam, Ilmi Nurfaizah Saddang, Muhammad Samsu Alam B Samsuddin, Auliaul Fitrah Sa’diyyah, Fadhilah Nur Selvi Rahmatia Selvi Rahmatia Sharifah Osman St. Zulaiha Nurhajarurahmah Sukarna Sukarna Sukarna Sukarna, Sukarna Sulleng, Ofra Maylin Suradi Tahmir Sutamrin Sutamrin, Sutamrin Suwardi Annas Syafruddin Side Syahid, Nurul Khatimah Syahrullah Asyari, Syahrullah Syamsuddin Mas'ud Syuaiba, Nur Talib, Dr. Ahmad Tampa, Alimuddin Ulfadwiyanti, Risna Usman Mulbar Usman Mulbar Wahidah Sanusi Wahidin Ashari, Nur Wahyuni, Maya Sari Waode, Yully Sofyah Wihda, Wihdatul Ummi Wulandari, Emi Yudhi Alfian Yudhi Alfian Zahrah, Fadliyah Zainal, Zaid