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All Journal SAINSMAT Journal of ICT Research and Applications Jurnal Daya Matematis BAREKENG: Jurnal Ilmu Matematika dan Terapan LOSARI: Jurnal Pengabdian Kepada Masyarakat Issues in Mathematics Education (IMED) Journal of Mathematics: Theory and Applications Seminar Nasional Pengabdian Kepada Masyarakat Makara Journal of Technology Indonesian Journal of Fundamental Sciences Seminar Nasional Hasil Penelitian LP2M UNM Jurnal Hasil-Hasil Pengabdian dan Pemberdayaan Masyarakat (JHP2M) Journal of Mathematics, Computation and Statistics (JMATHCOS) Issues in Mathematics Educations (IMED)
Rahmat Syam
Jurusan Matematika Fakultas Matematika Dan Ilmu Pengetahuan Alam Universitas Negeri Makassar
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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.
Solusi Persamaan Panas Dimensi Satu dengan Metode Transformasi Laplace dan Transformasi Elzaki Zaki, Ahmad; Syam, Rahmat; Lubis, Kristina
Journal of Mathematics, Computations and Statistics Vol. 5 No. 1 (2022): Volume 05 Nomor 01 (April 2022)
Publisher : Jurusan Matematika FMIPA UNM

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This study aims to determine the solution to the one dimensional heat equation using the Laplace transformation and Elzaki transformation. This research is a pure research that examines the Laplace transformation and Elzaki transformation in the one dimensional heat equation
Analisis Tingkat Kesejahteraan Masyarakat di Provinsi Nusa Tenggara Barat Menggunakan Model Regresi Multivariat Syam, Rahmat; Sukarna, Sukarna; Nurmah, Nurmah
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 determine the model of the relationship between the rate of economic growth, the level of Gross Domestic Product Regional each capita, and the Human Development Index for supporting variables base on multivariate regression analysis to analyze the level of public welfare in West Nusa Tenggara Province by selecting the best model using the KICC method. The supporting variables were life expectancy, unemployment rate, expenditure each capita, poverty level, and local income. The data was published by the Central Bureau of Statistics of West Nusa Tenggara Province on 2018. The result shows that there are three variables which have shown a positive impact on the public welfare in West Nusa Tenggara Province, namely life expectancy, expenditure each capita, and local income. However, the others have shown a negative impact. The relation between predictors and response simultaneously is = 0.999990324, it means that the data is explainable 99.99% by the model.
Deteksi informasi hoaks vaksin covid-19 Di media sosial twitter menggunakan jaringan syaraf tiruan backpropagation Syam, Rahmat; Sanusi, Wahidah; SYahnur, Andi Aulia
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.v7i2.4433

Abstract

Hoaks di bidang kesehatan adalah hal yang berbahaya terutama pada suatu pandemi Covid-19 di mana keadaan masih belum pasti. Hoaks terkait vaksin Covid-19 banyak tersebar di media sosial salah satunya di media sosial Twitter. Pembaca umumnya dapat melakukan pendeteksian terhadap suatu pesan Twitter yang termasuk hoaks secara manual seperti dengan membaca berita di media massa resmi. Namun dengan kecepatan dan banyaknya informasi yang tersebar di Twitter membuat cara manual sulit dilakukan. Karena itu, deteksi informasi hoaks secara otomatis dapat menjadi solusi untuk kesulitan tersebut. Penelitian ini mendeteksi informasi hoaks vaksin Covid-19 menggunakan metode jaringan syaraf tiruan backpropagation dengan mengklasifikasi teks pesan Twitter ke dalam dua kelas yaitu hoaks dan bukan hoaks. Tujuan dari penelitian ini yaitu untuk mengetahui model arsitektur jaringan syaraf tiruan backpropagation dalam mendeteksi hoaks vaksin Covid-19 di media sosial Twitter dan tingkat akurasi yang didapatkan dari model tersebut menggunakan 7,130 data tweet yang dikumpulkan dengan data scraping dengan bahasa pemrograman Python dan dilabeli secara manual kemudian diterapkan preprocessing data dan pembobotan TF-IDF sebelum teks tweet diproses ke dalam model. Hasil penelitian ini menunjukkan bahwa model dengan performa paling baik dimiliki oleh metode backpropagation model pembagian 20% data latih dan 80% data uji yang menggunakan dua hidden layer (3, 5) yaitu mencapai tingkat akurasi sebesar 77.12% dengan tingkat error sebesar 22.88%, di sisi lain nilai AUC dari kurva ROC yang dihasilkan sebesar 0.7414 yaitu masuk pada kategori klasifikasi cukup. Kata Kunci: Hoaks, Twitter, Vaksin Covid-19, Jaringan Syaraf Tiruan, Backpropagation Hoaxes in the health field are dangerous, especially in a Covid-19 pandemic where the situation is still uncertain. Hoaxes related to the Covid-19 vaccine are widely spread on social media, one of which is Twitter. Readers can generally detect a Twitter message that is a hoax manually, such as by reading news in the official mass media. However, the speed and amount of information spread on Twitter makes manual methods difficult to do. Therefore, automatic detection of hoax information can be a solution to this difficulty. This research detects hoax information about the Covid-19 vaccine using the backpropagation artificial neural network method by classifying Twitter message text into two classes, namely hoaxes and non-hoaxes. This study aims to determine the backpropagation artificial neural network architecture model in detecting Covid-19 vaccine hoaxes on Twitter social media and the level of accuracy obtained from the model used 7,130 tweet data collected by data scraping using Python programming language and manually labeled then applied data preprocessing and TF-IDF weighting before the tweet text is processed into the model. The results of this study show that the model with the best performance is owned by a backpropagation model method of a division of 20% training data and 80% test data using two hidden layer (3, 5), which achieves an accuracy rate of 77.12% with an error rate of 22.88%, on the other hand, the AUC value of the resulting ROC curve is 0.74 that is included in the fair classification category. Keywords: Hoax, Twitter, Covid Vaccine, Artificial Neural Network, Backpropagation
PKM Pelatihan Inovasi Pengembangan Model Pembelajaran Matematika yang Berkarakter Syam, Rahmat; Mulbar, Usman; Sanusi, Wahidah; Side, Syafruddin; Farhan, Muhammad
Seminar Nasional Pengabdian Kepada Masyarakat SEMINAR NASIONAL 2024:PROSIDING EDISI 2
Publisher : Seminar Nasional Pengabdian Kepada Masyarakat

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Abstract

Penelitian ini berfokus pada pengembangan dan inovasi model pembelajaran matematika yang berkarakter melalui pelatihan untuk para guru di Kabupaten Majene, Sulawesi Barat. Dengan mengadaptasi pendekatan Pendidikan Matematika Realistik Indonesia (PMRI), program ini bertujuan untuk meningkatkan kreativitas guru dalam pengajaran matematika, sehingga dapat menciptakan suasana pembelajaran yang lebih menarik dan relevan bagi siswa. Melalui kegiatan pelatihan dan bimbingan intensif, yang dilaksanakan pada 11- 12 Mei 2024 di SMP Negeri 2 Majene, para guru diharapkan mampu mengimplementasikan model pembelajaran yang lebih interaktif dan berorientasi pada pengembangan karakter siswa. Kegiatan ini diadakan untuk menjawab permasalahan kurangnya keterampilan dan pengetahuan guru dalam menerapkan pendekatan yang mengaitkan konsep matematika dengan konteks kehidupan nyata siswa, yang diharapkan dapat meningkatkan motivasi dan keterlibatan siswa dalam pembelajaran matematika. Program ini melibatkan 15 guru peserta, dengan hasil yang diharapkan berupa peningkatan kompetensi dan keterampilan guru serta keberlanjutan penerapan model pembelajaran yang lebih efektif di sekolah.
Analysis of the Generalized Autoregressive Conditional Heteroskedasticity (GARCH) Model in Forecasting Antam Gold Prices in Indonesia Sanusi, Wahidah; Syam, Rahmat; Sari, Yulfiana
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.v8i1.6760

Abstract

This research is a type of applied research with a quantitative approach to analyze the results of Antam's gold price forecasting in Indonesia with the best Generalized Autoregressive Conditional Heteroscedasticity (GARCH) model obtained. GARCH is a model used to analyze data volatility over time, especially in forecasting data that frequently experiences fluctuations. The research data used is 234 weekly historical data on Antam gold prices in Indonesia in the period January 2020 to June 2024. The results of this research show that by using the best ARIMA (2,1,2) GARCH (1,2) model, gold price forecasting results are obtained. Antam in Indonesia for the period July 2024 to June 2025, namely IDR 1,376,096 to IDR 1,781,239. This model has a high level of accuracy in forecasting Antam's gold price in Indonesia with a Mean Absolute Percentage Error (MAPE) value of 1.13%.
Analisis Kesalahan Mahasiswa dalam Memecahan Masalah Nonrutin pada Materi Fungsi Kuadrat Rahmat Syam; Awi Dassa; Siti Khodidah
Issues in Mathematics Education (IMED) Vol. 4 No. 2 (2020): Volume 4 Nomor 2 Tahun 2020
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/imed15330

Abstract

This study was a descriptive research by using qualitative approach that aimed to describe the errors made by students in quadratic function real life problems based on basic mathematical objects (facts, principles, concepts, and operation). The data coll
Deskripsi Kemampuan Koneksi Matematis pada Materi Sistem Persamaan Linear Dua Variabel Ditinjau dari Gaya Kognitif Siswa SMP Kelas IX Nurdin Arsyad; Rahmat Syam; Asep Ardat
Issues in Mathematics Education (IMED) Vol. 1 No. 1 (2017): Volume 1 Nomor 1 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/imed9252

Abstract

This research was qualitative descriptive research that aims to describe the ability of students’ mathematical connection toward cognitive style. Subject as much 2 students SMP of grade IX. Instruments of this research were GEFT (Group Embedded Figure Test) test and mathematical connection ability test. The results of this study indicate ISWA’s ability to solve problems by two capability indicators connection mathematically studied. (1) Linkages between concept mathematics. (2) Linkages mathematics with daily life situation. The results of data analysis show that ability connection mathematical students corresponding with style the cognitive they possess on the material system two linear equations variable namely on the indicator first , the subject with style cognitive field independent have high level of mathematical connection ability while subject with style cognitive field dependent have medium level of mathematical connection ability. On the second indicator of mathematical connection ability, the subject with style cognitive field independent and subject with style cognitive field dependent have high level of mathematical connection ability.
The Analysis and Simulation of Consumer Behavior Towards Product Boycotts Using Mathematical Modeling in North Sangatta District Jusman, Jusman; Side, Syafruddin; Syam, Rahmat; Yusuf SAP, Andi Muh. Ridho
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.v8i1.6864

Abstract

This study aims to analyze and simulate a mathematical model of product boycott behavior in North Sangatta District using a modified SEIRS model approach. This model divides the population into four compartments: Susceptible (S), Exposed (E), Infected (I), and Recovered (R). Primary data were obtained through a survey of individuals aged 15-60 years living in North Sangatta District. The SEIRS-type mathematical model was used to determine the equilibrium point. The analysis showed that the basic reproduction number , indicating that an individual who boys can influence others to do the same. Stability analysis shows that when , the boycott-free equilibrium point is unstable, while the endemic equilibrium point is locally asymptotically stable. This means that individuals who boycott will remain in the population. Simulations show that reducing the transition rate from susceptible to exposed and from exposed to boycotts, as well as increasing the recovery rate, can be a solution to reduce the impact of boycotts.
Pelatihan dan Pendampingan Penulisan Buku Referensi bagi Guru-Guru di SMA Negeri 3 Majene Upu, Hamzah; Syam, Rahmat; Juhari, Agusalim; Basri, Muhammad Yusran; Alimuddin, Alimuddin
Jurnal Hasil-Hasil Pengabdian dan Pemberdayaan Masyarakat Vol. 4 No. 1 (2025): Volume 04 Nomor 01 (April 2025)
Publisher : Jurusan Matematika FMIPA UNM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/jhp2m.v4i1.8495

Abstract

Pelatihan dan pendampingan penulisan buku referensi bagi guru-guru SMA Negeri 3 Majene bertujuan untuk meningkatkan kapasitas guru dalam mengembangkan hasil penelitian menjadi karya tulis berbentuk buku referensi yang layak dipublikasikan. Permasalahan utama yang dihadapi guru meliputi rendahnya motivasi menulis, keterbatasan pengetahuan teknis penyusunan buku, serta kurangnya keterampilan dalam pengelolaan referensi dan layout naskah. Kegiatan ini dilaksanakan secara luring selama satu hari dengan metode ceramah interaktif, workshop praktik, diskusi, dan pendampingan mandiri. Materi pelatihan mencakup konsep dasar penulisan buku referensi, teknik penyusunan kerangka, pengelolaan referensi menggunakan aplikasi Zotero, desain layout buku, dan prosedur pengajuan ISBN. Sebanyak 14 guru dari berbagai bidang studi mengikuti kegiatan ini dan diberikan tugas mandiri untuk menyusun draft buku referensi berbasis hasil penelitian masing-masing. Evaluasi menunjukkan rata-rata tingkat keberhasilan sebesar 89,75% yang dikategorikan Tinggi. Hasil ini menunjukkan bahwa pelatihan efektif dalam meningkatkan pemahaman dan keterampilan guru dalam penulisan dan publikasi buku referensi. Kegiatan ini diharapkan mampu membangun budaya literasi ilmiah di lingkungan sekolah serta meningkatkan kontribusi guru terhadap pengembangan literatur akademik.
Co-Authors A. Asman Abdullah, Adib Roisilmi Agnes Monica Putri Agusalim Juhari Ahmad Firjatullah Hakim Ahmad Firjatullah Hakim Ahmad Zaki AHMAD ZAKI Ahmad Zaki Asep Ardat Asep Ardat Asman Awi Dassa Awi Dassa Basri, Muhammad Yusran Elfira Haryanensi Elfira Haryanensi A Fahrul Ahmad Fahrul Ahmad Hamzah Upu Hisyam Ihsan Jusman Jusman Lubis, Kristina Marwan Marwan Mauridhi Herry Purnomo Mauridhi Hery Purnomo Mauridhi Purnomo Mauridhi Purnomo, Mauridhi Meisy Tri Elsa Meisy Tri Elsa Mochamad Hariadi Mochamad Hariadi Muh Nahdi Alim Asyhari Muh Nahdi Alim Asyhari Muhammad Abdy Muhammad Abdy Muhammad Abdy Muhammad Abdy Muhammad Farhan Muhammad Hasriyadi Basri Muhammad Hasriyadi Basri Muhammad Irham Muktamar Muhammad Yusran Basri Muktamar, Muhammad Ilham Muktamar, Muhammad Irham N. Nurmah Nurdin Arsyad Nurdin Arsyad Nurhiqmah Takbir Nurmah, Nurmah Rabiatul Adawiyah Rabiatul Adawiyah Sainon Andi Pandjajangi, Andi Muhammad Ridho Yusuf Sari, Yulfiana Sidjara, Sahlan Siti Khodidah Siti Khodidah Sukarna Sukarna Sukarna Sukarna Sukarna Sulaiman Sulaiman Sulaiman Sulaiman Syafruddin Side SYahnur, Andi Aulia Syamsuddin Mas'ud T. Tina Tina, Tina Usman Mulbar Wahidah Sanusi Wahyuni, Maya Sari Yusuf SAP, Andi Muh. Ridho