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Meningkatkan Literasi-Numerasi melalui Asistensi Mengajar PKKM di SMA Celebes Global School Makassar Djam’an, Nurwati; Intan , Wirninda; Arwadi, Fajar; Sidjara, Sahlan; Khadijah, Khadijah
Jurnal Pengabdian Masyarakat Bangsa Vol. 3 No. 3 (2025): Mei
Publisher : Amirul Bangun Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59837/jpmba.v3i3.2326

Abstract

Program Asistensi Mengajar PKKM (Program Kompetisi Kampus Merdeka) di Celebes Global School, Kota Makassar, bertujuan untuk meningkatkan literasi dan numerasi siswa serta memberikan pengalaman langsung bagi mahasiswa Program Studi Pendidikan Matematika Universitas Negeri Makassar. Program ini melibatkan beberapa kegiatan, termasuk pembuatan mading 3 dimensi, pop-up book, one day one fact, dan scholarship corner. Pelaksanaan kegiatan berlangsung selama empat bulan melalui tahapan persiapan, pelaksanaan, evaluasi, serta pelaporan dan publikasi. Hasil evaluasi menunjukkan bahwa pendekatan yang kreatif, seperti mengembangkan visual menarik dapat memberikan pengalaman belajar yang berbeda sehingga meningkatkan minat baca serta pemahaman numerasi siswa. Program ini juga memberikan dampak positif yang signifikan bagi mahasiswa dalam meningkatkan keterampilan mengajar dan mempersiapkan mereka untuk menghadapi tantangan yang ada di dunia pendidikan. Keberhasilan pelaksanaan program ini tidak hanya mendukung kebijakan yang ada, tetapi juga menawarkan pendekatan pembelajaran yang interaktif, yang dapat dijadikan referensi untuk pengembangan program-program serupa di masa mendatang.
APPLICATION OF BACKPROPAGATION FOR FORECASTING OPEN UNEMPLOYMENT IN MAKASSAR CITY Syam, Rahmat; Sidjara, Sahlan; Abdullah, Adib Roisilmi
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 19 No 4 (2025): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol19iss4pp2359-2376

Abstract

Based on data from the Statistics Bureau of South Sulawesi Province, the open unemployment rate in Makassar City has remained consistently high over the past ten years, averaging 11.41%. This highlights a persistent labor market issue and positions Makassar as the leading contributor to the open unemployment rate in the province. To support effective policymaking and early intervention strategies, it is essential to forecast future unemployment trends based on historical data. Therefore, this study aims to forecast the open unemployment rate in Makassar City over the next five years using a machine learning approach. Among the available forecasting methods, the Backpropagation Artificial Neural Network (ANN) was selected due to its proven ability to model complex, non-linear relationships often found in socio-economic data. ANN is particularly effective in handling temporal dynamics without assuming linearity or stationarity, unlike traditional statistical models. In this study, the forecasting process involved data normalization, scenario-based data partitioning, ANN architecture design, and model training and testing. The model with the best performance consisted of 11 neurons in the input layer, 55 neurons in the hidden layer, and 1 neuron in the output layer, using 80% of the data for training and 20% for testing. This configuration yielded a forecasting accuracy of 91.896%, with a MAPE of 8.131% and an MSE of 0.003. The denormalized results forecast a steady decline in the open unemployment rate from 9.078% in 2023 to 7.248% in 2027, indicating a positive trend in employment. Nevertheless, it is important to acknowledge the limitations of forecasting models and the potential influence of external factors that may affect actual outcomes.
The Pedagogical Content Knowledge of Mathematics Pre-Service Teachers on Geometry Topic in Universitas Negeri Makassar Arwadi, Fajar; Sidjara, Sahlan; Suarlin
Mosharafa: Jurnal Pendidikan Matematika Vol. 12 No. 4 (2023): October
Publisher : Department of Mathematics Education Program IPI Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31980/mosharafa.v12i4.1189

Abstract

Penelitian ini bertujuan untuk mendeskripsikan pengetahuan pedagogik konten (PCK) mahasiswa calon guru di jurusan Matematika, Universitas Negeri Makassar dengan memperhatikan beberapa indikator yakni pengetahuan materi, pengetahuan pedagogik, dan pengetahuan terkait peserta didik. Subjek penelitian ini adalah 45 orang mahasiswa yang telah memprogramkan mata kuliah-mata kuliah terkait materi matematika dan mata kuliah-mata kuliah pedagogik termasuk microteaching. Pendekatan pada penelitian ini mencakup pendekatan kuantitatif dan pendekatan kualitatif. Data pada penelitian ini dikumpulkan dengan cara memberikan beberapa pertanyaan kepada subyek yang mengukur pengetahuan pedagogik konten mereka pada topik geometri di tingkat sekolah menengah dan mengadakan wawancara yang bersifat semi-terstruktur. Dari hasil analisis kuantitatif deskriptif, dapat disimpulkan bahwa 77,78% subyek mempunyai PCK pada kategori sedang. Sedangkan 22,22% subyek berada pada tingkat PCK yang rendah. Secara eksplisit, kebanyakan subyek tidak memiliki pengetahuan yang baik pada topik-topik geometri dan hanya menerapkan teknik pedagogik yang sedikit. Selain itu, kebanyakan dari mereka tidak mempunyai pengetahuan tentang peserta didik yang bersifat komprehensif. This study aims to describe the pedagogical content knowledge (PCK) of pre-service teacher in mathematics department, Universitas Negeri Makassar by taking into account of the indicators i.e., their content knowledge, pedagogical knowledge, and knowledge related to learners. The subjects of this study were forty five students who had already programmed mathematics subject matter courses and pedagogical courses including microteaching. The types of the research used are quantitative and qualitative approaches (Mix Method). The data were collected by giving the subjects questions measuring pedagogical content knowledge in the topic of geometry in secondary school and conducting semi-structured interviews to them. The results of the quantitative analysis suggest that 77.78% of subjects had PCK levels that are in mediocre category, and 22.22% of the subjects still have PCK levels that are in the low category. Explicitly, most subjects don’t have good understanding of certain geometry topics as well as they simply use less pedagogical techniques. Moreover, most of them do not tend to have knowledge of learner comprehensively.
PKM Integrasi Pendidikan Lingkungan dalam Perangkat Pembelajaran bagi Guru-Guru di Kelurahan Malino Kabupaten Gowa Suarlin, Suarlin; Ali, Ichsan; Arwadi, Fajar; Sidjara, Sahlan; Nabila, Khairunnisa An; Ishak, Nurhalisa
Seminar Nasional Pengabdian Kepada Masyarakat SEMINAR NASIONAL 2024:PROSIDING EDISI 9
Publisher : Seminar Nasional Pengabdian Kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Program kemitraan masyarakat yang mengintegrasikan pendidikan lingkungan dalam perangkat pembelajaran bagi guru-guru di Kelurahan Malino, Kabupaten Gowa, bertujuan untuk meningkatkan kesadaran dan pengetahuan lingkungan di kalangan pendidik dan siswa. Melalui program ini, guru diberikan pelatihan untuk menyisipkan konsep-konsep lingkungan dalam mata pelajaran yang mereka ajarkan di sekolah. Langkah ini diharapkan dapat memperkuat pemahaman siswa tentang pentingnya menjaga lingkungan serta membentuk perilaku yang lebih ramah lingkungan. Selain itu, program ini membantu guru mengembangkan keterampilan dalam merancang pembelajaran yang relevan dengan isu-isu lingkungan, baik lokal maupun global. Diharapkan, program ini dapat menciptakan dampak jangka panjang yang positif dalam masyarakat, dengan meningkatkan kepedulian dan tanggung jawab terhadap lingkungan.
PKM Pemberantasan Buta Aksara Bagi Kelompok Ibu Rumah Tangga Berbasis Literasi di Paladang Desa Mallongi-Longi. Side, Syafruddin; Sidjara, Sahlan; Pratama, Muh. Isbar; sanusi, wahidah; Yani, Ahmad
SMART: Jurnal Pengabdian Kepada Masyarakat Vol 3, No 2 (2023): Oktober
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/smart.v3i2.53937

Abstract

Berdasarkan data PKM tahun 2022s/d 2022 dan hasil observasi pada mitra yaitu kelompok IRT di dusun paladang, diketahuo bahwa tingkat pendidikan IRT di dusun paladang sebesar 80%  hanya tamat sekolah dasar saja, bahkan ada beberapa diantaranya yang tidak tamat SD. Hal ini berdampak pada anak-anak mereka yang beberapa diantaranya tidak melanjutkan sekolah ke jenjang lebih tinggi dan malas ke sekolah walaupun masih di tingkat Sekolah Dasar. Ketika melakukan wawancara terhadap beberapa orang IRT, mereka mengeluhkan sulitnya mendapatkan informasi melalui media sosial karena tidak bisa atau belum lancar membaca. Solusi yang dilakukan oleh tim PKM antara lain: (1) Mengajarkan baca tulis berbasis literasi dengan home scholling bagi IRT di dusun Paladang yang masih belum lancar dan belum mengetahui baca tulis. (2). Memberikan penyuluhan mengenai pentingnya pendidikan. (3). Mengadakan pembelajaran tambahan dalam rangka meningkatan kualitas pembelajaran di SD. Hasil pelaksanaan kegiatan menunjukkan bahwa 90% atau 9 dari 10 orang IRT di dusun Paladang Desa Mallongi-Longi, Kabupaten  Pinrang yang mengikuti kegiatan ini sudah dapat membaca, kemudian 100% atau 10 orang anak-anak di dusun Paladang Desa Mallongi-Longi, Kabupaten  Pinrang yang mengikuti kegiatan ini sudah dapat membaca.
PKM STEAM Kearifan Lokal Bagi Guru-Guru di Kabupaten Pangkep Asdar, Asdar; Abdy, Muhammad; Sidjara, Sahlan
SMART: Jurnal Pengabdian Kepada Masyarakat Vol 2, No 2 (2022): Oktober
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/smart.v2i2.37372

Abstract

Kegiatan Program Kemitraan Masyarakat (PKM) dilaksanakan kabupaten Pangkep Provinsi Sulawesi Selatan, Mitra dalam kegiatan PKM ini merupakan guru-guru pada Musyawarah Guru Mata Pelajaran (MGMP) Matematika di Kabupaten Pangkep. Tujuan kegiatan ini adalah untuk: a) Meningkatkan pengetahuan dan keterampilan mitra dalam membuat rancangan pembelajaran STEAM kearifan lokal; b) Meningkatkan pengetahuan mitra dalam merancang pembelajaran STEAM kearifan lokal. Masalah yang dialami mitra diantaranya a) Rendahnya pengetahuan dan keterampilan Mitra tentang pembelajaran STEAM kearifan lokal; b) Mitra tidak mengetahui merancang pembelajaran STEAM kearifan lokal berbasis projek. Metode yang digunakan adalah pelatihan, pendampingan, dan diskusi antara pelaksana dengan mitra selain itu diadakan workshop pembuatan desain pembelajaran STEAM kearifan lokal berbasis projek. Metode ini dilaksanakan kepada kelompok mitra yang berjumlah 38 orang dan selanjutnya evaluasi dan monitoring dilakukan secara berkala selama 3 bulan  Luaran yang diperoleh adalah: 1) Keterampilan dan perubahan wawasan mitra dalam pembelajaran STEAM kearifan lokal; 2) Mitra mampu merancang pembelajaran STEAM kearifan lokal berbasis projek.
APPLICATION OF GENERALIZED AUTOREGRESSIVE CONDITIONAL HETEROSKEDASTICITY (GARCH) MODEL IN FORECASTING THE MARKET PRICE OF NICKEL IN INDONESIA Sidjara, Sahlan; Sanusi, Wahidah; Nyulle, Rusdianto
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.v8i2.9798

Abstract

Indonesia is one of the largest nickel exporting countries in the world, with the increasing demand for electric vehicles making nickel a target for producers. The increase in nickel demand makes it necessary to increase the observation of nickel prices to maintain the sustainability of the mining industry and economic growth. The purpose of this study is to forecast the price of Indonesia's nickel market using the GARCH method. The GARCH method is one of the methods used in time series data modeling that identifies heteroscedatic effects. The steps taken are to analyze the training data, check the stationery, estimate the parameters, and test the diagnostic model, then the best ARIMA model is selected based on the smallest AIC value, namely ARIMA (0,1,1). The residual values of the best ARIMA models are then used to determine the GARCH model. The best GARCH model obtained is GARCH (0.1) with an AIC value of 19.04061. Furthermore, forecasting was carried out using the GARCH model (0.1) and comparing the forecast results with the testing data to obtain MAPE values. The MAPE value obtained is 17.67014 % which shows that the GARCH model (0.1) has good forecasting accuracy, so this model is quite feasible to be used in forecasting the price of Indonesia's nickel market.
Pojok Baca Sebagai Upaya Meningkatkan Minat Membaca Siswa di SMPN 6 Moncongloe Detrin Ombi, Natalia; Arwadi, Fajar; Asmaun, Asmaun; Djam'an, Nurwati; Sidjara, Sahlan; Angraeni, Yuniar; Syukur, Muhammad
SMART: Jurnal Pengabdian Kepada Masyarakat Vol 5, No 2 (2025): Oktober
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/smart.v5i2.77528

Abstract

Student interest reading in Indonesia remains low. Data of UNESCO shows that the Indonesian reading interest index is only 0.001%, it means that only one in 1,000 people enjoy reading. This condition requires a concrete strategy to foster a culture of literacy in schools. One effort that can be done is providing reading corners in classrooms. This article discusses about community service activities at SMPN 6 Moncongloe through the creation of reading corners in grades IX-4. This activity was carried out in three stages: preparation, implementation, and simple evaluation, by actively involving students in the process of arranging and utilizing the reading corners. The results show that the reading corners successfully created a pleasant learning atmosphere, increased reading motivation, and supported the School Literacy Movement (GLS). The obstacles faced were the limited book collection and the need for routine facility maintenance. This activity emphasizes the importance of collaboration between schools, teachers, and parents in building a sustainable literacy culture.
Probabilistic Modeling of Annual Maximum Rainfall for Intensity-Duration-Frequency Curve Construction in the Mamminasata Region, South Sulawesi Province, Indonesia Sanusi, Wahidah; Patahuddin, Sudarmin; Sidjara, Sahlan
Journal of Multidisciplinary Applied Natural Science Articles in Press
Publisher : Pandawa Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47352/jmans.2774-3047.373

Abstract

The evaluation of extreme rainfall events is crucial for the management and planning of water resources, particularly in the design of drainage systems and water storage reservoirs. Such evaluation can be carried out through the estimation of design rainfall, which is commonly represented as rainfall intensity–duration–frequency (IDF) data. The purpose of this study is not only to apply probabilistic models to annual maximum daily rainfall data but also to construct the IDF curves of rainfall in the Mamminasata region of South Sulawesi Province. This study utilizes annual maximum daily rainfall data obtained from the Water Resources, Human Settlements, Spatial Planning, and Development Office of South Sulawesi Province, as well as the Meteorology, Climatology, and Geophysics Agency (BMKG) of Indonesia. The dataset consists of observations from 8 rainfall stations in the Mamminasata region spanning 36 years, from 1989 to 2024. The methodology involves first determining the appropriate probability distribution for each rainfall station, followed by estimating rainfall intensity using the Mononobe method, and finally constructing the IDF curves based on the estimated design rainfall and rainfall intensities for different return periods. This study found that each regency or city within the Mamminasata region generally exhibits distinct rainfall probability distributions. This highlights the importance of evaluating multiple probabilistic models to appropriately characterize the variability and extremes rainfall pattern across different locations. Based on the IDF curve, the results indicate that the longer the rainfall duration, the lower the intensity. Likewise, the shorter the return period, the lower the corresponding intensity.