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Efektivitas Kegiatan Bimbingan Belajar pada Masa Pandemi Di Desa Mallongi Longi Kecamatan Lanrisang Kabupaten Pinrang Side, Syafruddin; Aulia, Hikma; Ismail, Khusnul Ryana Tasya; Palumpun, Feby Fristi; Risma, Risma; Musfira, Nur Fadillah
Jurnal Hasil-Hasil Pengabdian dan Pemberdayaan Masyarakat Vol. 1 No. 1 (2022): Volume 01 Nomor 01 (Oktober 2022)
Publisher : Jurusan Matematika FMIPA UNM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/jhp2m.v1i1.3711

Abstract

Pandemi Covid-19 membuat pola pendidikan di Indonesia berubah. Salah satunya pola pendidikan di Desa Mallongi Longi, Kecamatan Lanrisang, Kabupaten Pinrang dimana proses belajar mengajar yang normalnya dilaksanakan di sekolah, namun karena kondisi saat ini proses belajar mengajar dialihkan di rumah sehingga mengakibatkan rendahnya kemampuan siswa dari segi pengetahuan. Hasil observasi menunjukkan bahwa pengetahuan sebagian besar siswa mengalami penurunan akibat adanya Pandemi Covid-19, dilihat dari pengetahuan nya yang tidak sesuai dengan tingkatannya khususnya pada mata pelajaran matematika. Permasalahan ini merupakan tantangan dan tanggung jawab mahasiswa KKN Tematik Universitas Negeri Makassar tahun 2021 sebagai bentuk pengabdian masyarakat di Desa Mallongi Longi. Maka dari itu dalam rangka meningkatkan kemampuan siswa, mahasiswa KKN Tematik mengadakan suatu kegiatan yaitu Bimbingan Belajar. Dimana kegiatan ini berfokus pada pembimbingan pembelajaran dasar matematika sesuai dengan tingkatannya. Berdasarkan hasil pembelajaran yang dilaksanakan dalam kurun waktu 7 pekan dari tanggal 29 Juli 2021 hingga 6 September 2021, diperoleh peningkatan kemampuan siswa, baik dari segi pemahaman maupun minat siswa yang dilihat dari antusiasme dan hasil evaluasi para siswa selama proses pembelajaran. Oleh karena itu, kegiatan bimbingan belajar merupakan solusi yang efektif dan signifikan terhadap upaya peningkatan kemampuan siswa Desa Mallongi Longi pada mata pelajaran Matematika yang menurun akibat adanya pandemi Covid-19.
Exploring The Future Of Health Through The Selr Mathematical Model With The 4th Order Pertubation Homotopy Method On The Risk Of Diabetes Among Mathematics Students Of Fmipa Unm Due To Unhealthy Lifestyles Side, Syafruddin; Sanusi, Wahida; Pandjajangi, Andi Muhammad Ridho Yusuf Sainon Andi
Sainsmat : Jurnal Ilmiah Ilmu Pengetahuan Alam Vol 14, No 1 (2025): Maret
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/sainsmat141659102025

Abstract

This study aims to obtain a numerical solution of the Susceptible-Exposed-Latent-Recovered (SELR) model with a delay time for diabetes cases among active students of FMIPA UNM. This SELR model is built based on certain assumptions, then an analysis is carried out to determine the stability of the model, and simulations are carried out to predict the incidence rate of diabetes. This study is an applied research, and the method used to obtain a numerical solution of the SELR model is the 4th Order Homotopy Perturbation Method, using secondary data. The results of this study include a numerical solution of the SELR model for diabetes cases with the Homotopy Perturbation Method, which shows that this model can predict the potential spread of diabetes among students.
Exploring The Future Of Health Through The Selr Mathematical Model With The 4th Order Pertubation Homotopy Method On The Risk Of Diabetes Among Mathematics Students Of Fmipa Unm Due To Unhealthy Lifestyles Side, Syafruddin; Sanusi, Wahida; Pandjajangi, Andi Muhammad Ridho Yusuf Sainon Andi
Sainsmat : Jurnal Ilmiah Ilmu Pengetahuan Alam Vol 14, No 1 (2025): Maret
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/sainsmat141659102025

Abstract

This study aims to obtain a numerical solution of the Susceptible-Exposed-Latent-Recovered (SELR) model with a delay time for diabetes cases among active students of FMIPA UNM. This SELR model is built based on certain assumptions, then an analysis is carried out to determine the stability of the model, and simulations are carried out to predict the incidence rate of diabetes. This study is an applied research, and the method used to obtain a numerical solution of the SELR model is the 4th Order Homotopy Perturbation Method, using secondary data. The results of this study include a numerical solution of the SELR model for diabetes cases with the Homotopy Perturbation Method, which shows that this model can predict the potential spread of diabetes among students.
Protecting South Sulawesi: Combination of Random Forest Regressor and SEIRS Mathematical Model in the Analysis and Prediction of the Spread of Covid-19 Bahar, Nur Qadri; Side, Syafruddin; Abdy, Muhammad
Signal and Image Processing Letters Vol 7, No 1 (2025)
Publisher : Association for Scientific Computing Electrical and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/simple.v7i1.126

Abstract

This applied research seeks to examine the dynamics of Covid-19 transmission in South Sulawesi Province. Additionally, this study will also forecast the future spread of Covid-19. This research comprises two phases: the investigation of Covid-19 transmission utilizing the SEIRS mathematical model, incorporating Vaccination and PPKM (Enforcement of Community Activity Restrictions), and the prediction of Covid-19 spread through machine learning techniques. The utilized data is secondary data sourced from the South Sulawesi Provincial Health Office. This study developed a machine learning model utilizing a random forest regressor algorithm due to its proficiency in identifying nonlinear data patterns. This model effectively accounts for the variability of the dataset (target variable) with a R2 score of 95%. The evaluation findings of the random forest regressor model indicated satisfactory performance, with a mean absolute error (MAE) of 29.57 and a root mean square error (RMSE) of 54.42 during training, and an MAE of 58.55 and an RMSE of 98.67 during testing. Given the significant variability in Covid-19 data and the prevalence of zeros in the dataset, the MAE and RMSE values for both training and testing are deemed acceptable. This model is designed to forecast daily Covid-19 instances in the future. This work not only employs machine learning but also analyzes the dissemination of Covid-19 through the SEIRS mathematical model, incorporating vaccination and PPKM factors. The SEIRS model analysis indicates that the disease-free equilibrium point is stable when R01 and unstable when R01. The fundamental reproduction rate derived from the vaccine's efficacy is v=65.3%, and the compliance rate with PPKM is ?=1%. Consequently, R0=1.2407288, indicating that Covid-19 will propagate in South Sulawesi Province. For ?=11%, R0=1.0167230. This indicates that Covid-19 will stabilize, and with ?=69%, R0=0.2338689, suggesting that Covid-19 will vanish from South Sulawesi Province.?
Simulating the Dynamics of Early Marriage and Marital Stability Using SERH Mathematical Models Khairana, Nadiyah; Annas, Suwardi; Side, Syafruddin; Sainon Andi Pandjajangi, Andi Muhammad Ridho Yusuf
Jurnal Varian Vol. 8 No. 2 (2025)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/varian.v8i2.4460

Abstract

This study aims to develop a mathematical model of SERH (Susceptible, Engaged, Risk, and Stabilization) to analyze and predict the incidence of early marriage in South Sulawesi Province. The research employs method a combination of theoretical and applied approaches, utilizing differential equations to model the dynamics of early marriage spread. Data were collected through questionnaires distributed to 400 couples selected using the Slovin technique, representing a population of 57,789 couples. The SERH model parameters, including the rate of couple interaction , transition from engagement to risk , and recovery from risk to stability , were derived from the collected data. Simulations were conducted using Maple software to visualize the spread of early marriage under different scenarios. The results of the analysis revealed two equilibrium points: a marriage-free equilibrium and a stable endemic equilibrium. The basic reproduction number  was calculated to be 3.97, indicating that one couple can influence 3-4 others in their social environment. However, with effective interventions such as education and counseling, the R₀ value can be reduced to 0.45, significantly lowering the spread of early marriage. This study provides valuable insights for policymakers to design targeted prevention programs and highlights the importance of early intervention in reducing the prevalence of early marriage.  
HEALTH PROMOTION ANALYSIS AND SIMULATION ON INCREASING VACCINATION WITH USING THE SRV MODEL IN PINRANG DISTRICT Side, Syafruddin; Sanusi, Wahidah; Padjalangi, Andi Muhammad Ridho Yusuf Sainon Andi; Pratama, Muhammad Isbar
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 17 No 2 (2023): BAREKENG: Journal of Mathematics and Its Applications
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol17iss2pp0649-0658

Abstract

This study discusses the SRV mathematical model of the rate of people refusing vaccination. The data used is primary data in the form of questionnaire data taken directly from the community in Pinrang district related to the rate of people who refuse vaccination. This research starts from building an SRV model to then perform an analysis and simulation of increased vaccination as a result of the role of the Health Promotion section, determining the balance point, analyzing the stability of the model, determining the value of the basic reproductive number (R0), conducting model simulations using Maple21 software, and interpreting the simulation results. . In this article, a mathematical model of SRV is obtained from the analysis and simulation of increased vaccination as the role of the Health Promotion section; two balance points, namely the free balance point to refuse vaccination and the balance point to refuse vaccination; and the basic reproduction rate R0=0.44721 indicates that the population refuses vaccination is decreasing.
Workshop Pengembangan dan Pemanfaatan Media Pembelajaran Virtual Berbasis Aplikasi Worldwall bagi Guru untuk Meningkatkan Kemampuan Literasi dan Numerasi Siswa TK Side, Syafruddin; Abdy, Muhammad; Ramadana, Yusuf
Jurnal Hasil-Hasil Pengabdian dan Pemberdayaan Masyarakat Vol. 4 No. 2 (2025): Volume 04 Nomor 02 (Oktober 2025)
Publisher : Jurusan Matematika FMIPA UNM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/jhp2m.v4i2.9680

Abstract

Literasi dan numerasi merupakan kompetensi dasar yang sangat penting untuk ditanamkan sejak usia dini sebagai bekal anak dalam menghadapi masa depan. Proses pembelajaran kedua aspek ini membutuhkan perhatian khusus, salah satunya melalui pemanfaatan media pembelajaran berbasis virtual. Kegiatan pengabdian masyarakat ini dilaksanakan dengan tujuan untuk meningkatkan pemahaman guru TK mengenai literasi dan numerasi, sekaligus memberikan pengetahuan serta pengalaman praktis dalam mengembangkan media pembelajaran virtual yang relevan dengan materi tersebut. Workshop ini dilaksanakan di TK Bunga Asya dan melibatkan enam orang guru sebagai peserta. Hasil kegiatan menunjukkan bahwa seluruh guru peserta (100%) mengalami peningkatan pemahaman tentang literasi dan numerasi. Selain itu, mereka juga mampu mengembangkan sekaligus mengintegrasikan media pembelajaran virtual ke dalam kegiatan pembelajaran di kelas, sehingga mendukung upaya peningkatan kualitas pembelajaran di TK.
Co-Authors . Sulaiman . Sulaiman . Sutra . Sutra Abdul Kadir Abdul Kadir Abdul Rahman Ahmad Ali Ramli AHMAD FAUZAN RIDHA SUJIONO Ahmad Yani Ahmad Yani Ahmad Yani Ahmad Zaki AHMAD ZAKI Ahmad Zaki Ahmar, Ansari Saleh Aidid, Muhammad Kasim Aisyah Mukhlisah Araaf Aisyah Zahra Ramadhani Asya Akbar Aldri Frinaldi Alief Saputro Alimuddin Tampa Alvioni Bani Amal Arfan, Amal Amni Rasyidah Andi Gagah Palarungi Taufik Andi Muhammad Ridho Sainon Andi Pandjajangi Andi Muhammad Ridho SAP Andi Muhammad Ridho Yusuf Sainon Andi Pandjajangi Andi Muhammad Ridho Yusuf Sainon Andin P Angri Lismayani Annas, Suwardi Annisa Uniarti Annisa Uniarti Arifuddin R Arika Dwi Angraeni Rasida Arkas, Amaliah Nurul Armalinda Mohammad Adam Arsita, Asriani Asdar Astri Utari Aswi, Aswi Aulia, Hikma Bahar, Nur Qadri Baiq Nurkhalishah Beby Fitriani Bohari, Nurul Aulia Citra Suci Said Damang, Dahnial Dian Pebriani Emi Wulandari Fajar Arwadi Fitrah Mallolongeng Fitriyani Fitriyani Fitriyani Gita Tri Asfarina Gita Tri Asfarina Hadrianty Ramli Hadrianty Ramly Hasri Hasri Hasri Hasri Hasri Hasri Hisyam Ihsan Husnul Khatimah Syam Ilham Minggi Imron AY, Muhamammad Irwan Irwan Irwan Irwan Irwan Irwan Irwan Irwan Irwan Irwan Irwan Irwan Irwan Ismail, Khusnul Ryana Tasya J, Jusriadi Jafaruddin Jafaruddin a, Jafaruddin Jusman Jusman Kaito, Nurlaila Karwingsi, Ersa Katrina Pareallo Khadijah , Ummul Khairana, Nadiyah La Ode Salman Yassar Luthfiah Arradiah Mallolongeng, Fitrah Marfianti, Marfianti Meisy Tri Elsa Meisy Tri Elsa Miswar Miswar Mohd Salmi Md Noorani Mudinillah, Adam Muh Al Rasyid Ridho Muh. Rifki Muhammad Abdy Muhammad Abdy Muhammad Abdy Muhammad Abdy Muhammad Abdy Muhammad Abdy Muhammad Abdy Muhammad Arif Tiro, Muhammad Arif Muhammad Edy Rizal Muhammad Farhan Muhammad Iqbal Muhammad Iqbal Muhammad Irfan Muhammad Isbar Pratama Muhammad Nur Ilham Muhammad Rakib Muhammad Ridho Yusuf SAP Muhammad Rifandi Muhjria, Muhjria Mulyaningrum, Dwidary Munadiya Yunadiya Musdalifa Pagga Musdalifah Pagga Musfira, Nur Fadillah Mustati'atul Waidah Maksum N. Nurhaeda Neldi Neldi, Neldi Nikmatullah Nur, Nikmatullah Nor Zila Abdul Hamid Nora Auliya Zahra Norliana Rahmasari Nur Fajri Setiawan Nur Izzah Nurdin Nur Khaerati Rustan Nur Qomariah Nurazizah Nurdin, Nur Izzah Nurhaeda Nurul Aulia Bohari Nurul Aulia Bohari Nurul Azizah Muzakir Nurul Fadhilah Syahrul Nurwahidah Sari Nusrang, Muhammad Padjalangi, Andi Muhammad Ridho Yusuf Sainon Andi Pagga, Musdalifa Palumpun, Feby Fristi Pandjajangi, Andi Muhammad Ridho Yusuf Sainon Andi Puspitasari Putri Kharina Mahathir Hulinggi Qudratullah Qudratullah Rahman, Muhammad Fatur Rahmasari, Norliana Rahmat Syam Rahmat Syam Raihana Nurfitrah Raihana Nurfitrah Ramadana, Yusuf Ramadhani, Muthia Reza Arisandi Reza Arisandi Rifki, Muh. Risma Risma, Risma Rosmini Maru Rudi Ruliana Rustan, Nur Khaerati S. Sartika Sahlan Sidjara Sahlan Sidjara Sahlan Sidjara Sainon Andi Pandjajangi, Andi Muhammad Ridho Yusuf Sakina Putri Sahara Sanusi, Wahida SAP, Andi Muh. Ridho Yusuf SATRIYAS ILYAS Setiawan, Nur Fajri Sopiyah Sri Indriani Sri Nur Qadri St. Nurhilmah Busrah Suciyanti, Nurafni Sudarmin - Suhartono Nurdin Sukarna Sukarna Sukarna Sulaiman - Sulaiman Sulaiman Supriadi Yusuf Suriyandi Suriyandi Sutriani Hidri, Sutriani Suwardi Annas Syahirah, Nurul Syahrana Syahrana Syana Nurul Utari Syarif Hidayat Syarif Hidayat Talib, Dr. Ahmad Usman Mulbar Wahida Sanusi Wahidah Sanusi Wahidah Sanusi Wahyuni, Maya Sari Wahyuni, Maya Sari Waode Nurlaelah Wulandari, Emi Yulita Molliq Rangkuti Yusnalia Kadir Yusuf S.A.P., Andi Muh. Ridho Yusuf Sainon Andi Pandjajangi, Andi Muhammad Ridho Yusuf SAP, Andi Muh. Ridho Yusuf SAP, Andi Muhammad Ridho Zahra, Nora Auliya Zakyah, Nur