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All Journal Pedagogy : Jurnal Pendidikan Matematika Jurnal PRINSIP Pendidikan Matematika AL-ISHLAH: Jurnal Pendidikan Islam Journal of Vocational, Informatics and Computer Education
Muhammad Ahsan
Institut Agama Islam Negeri Parepare
Computer Science & IT Education Languange, Linguistic, Communication & Media Mathematics

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ANALYSIS OF STUDENTS’ DIFFICULTIES IN SOLVING STORY PROBLEMS ON LINEAR PROGRAMMING MATERIAL AT SMAN 3 SIDRAP Tiara; Usman; Muhammad Ahsan
Jurnal Prinsip Pendidikan Matematika Vol 4 No 1 (2021): Jurnal Prinsip Pendidikan Matematika November 2021
Publisher : Prodi. Pendidikan Matematika, FKIP, Universitas Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (682.655 KB) | DOI: 10.33578/prinsip.v4i1.95

Abstract

This study aims to describe students' difficulties in solving story problems on linear programming material, the factors that cause students' difficulties in solving story problems, and how to overcome students' difficulties in solving story problems on linear programming material at SMAN 3 SIDRAP. This type of research is descriptive qualitative, with the research subject being class XI IPS 2 SMAN 3 SIDRAP, totalling ten students. Based on the results of the research, the difficulties experienced by students in solving story problems on linear programming material are conceptual difficulties, principle difficulties, information difficulties and arithmetic difficulties. Factors causing difficulties are divided into external factors, including the family and school environment and internal factors, including the lack of student interest in learning mathematics, especially in linear programming material, study routines, and lack of motivation to learn. Efforts were made to overcome these difficulties, namely providing a good understanding to students, making students active in asking questions and using learning media.
Efisiensi Penggunaan Elearning dengan Memanfaatkan Teknologi Mobile Wireless Pada Stain Parepare Muhammad Ahsan; Bahtiar
Al-Ishlah: Jurnal Pendidikan Islam Vol 16 No 2 (2018): Al-Ishlah: Jurnal Pendidikan Islam
Publisher : IAIN PAREPARE

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (124.914 KB) | DOI: 10.35905/alishlah.v16i2.748

Abstract

ABSTRACTE-learning is formal and informal learning. Formally, the e-learning learningmethod is carried out using learning that comes from the syllabus. The use ofe-learning from lecturers and students at STAIN Parepare is currently stillconsidered not to work well. The interest of students and lecturers in usinge-learning is still lacking. This is because the resources of the lecturers in filling thecontent of the e-learning are still lacking. This study aims to determine the efficiencyof using e-learning by using mobile wireless and knowing the level of satisfaction ofe-learning users by utilizing mobile wireless.
STUDI KOMPARASI ANTARA TRADISI DAN MATEMATIKA DALAM PERHITUNGAN ZAKAT MAL PERTANIAN SAWAH DI TAKKALALLA  BARAT KABUPATEN PINRANG Sulfiani Sulfiani; Muhammad Ahsan; Buhaerah Buhaerah; Zulfiqar Busrah
Pedagogy: Jurnal Pendidikan Matematika Vol. 11 No. 2 (2026): Pedagogy : Jurnal Pendidikan Matematika
Publisher : Universitas Cokroaminoto Palopo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30605/af3pyw21

Abstract

Penelitian ini bertujuan untuk menganalisis perbandingan antara tradisi masyarakat dan konsep matematis formal dalam perhitungan zakat mal pertanian sawah di  Takkalalla Barat Kabupaten Pinrang serta mengidentifikasi konsep matematika yang terkandung dalam praktik tersebut melalui perspektif etnomatematika. Penelitian ini menggunakan pendekatan deskriptif kualitatif dengan desain studi komparatif dan pendekatan etnografi. Subjek penelitian terdiri atas delapan petani sawah yang dipilih menggunakan teknik purposive sampling. Pengumpulan data dilakukan melalui observasi, wawancara, dan dokumentasi. Analisis data menggunakan model Spradley yang meliputi analisis domain, taksonomi, komponen, dan tema. Hasil penelitian menunjukkan bahwa praktik perhitungan zakat pertanian masyarakat masih dipengaruhi oleh tradisi dan kebiasaan turun-temurun, seperti penggunaan satuan karung dan perhitungan berbasis perkiraan. Namun, praktik tersebut mengandung konsep matematika berupa persentase, rasio, pengukuran, operasi hitung, konversi satuan, dan ketaksamaan. Tingkat pemahaman masyarakat terhadap zakat pertanian juga berbeda-beda, mulai dari tradisional hingga mendekati konsep matematis formal. Penelitian ini menunjukkan bahwa praktik zakat pertanian dapat dijadikan sebagai sumber pembelajaran matematika berbasis etnomatematika yang kontekstual dan bermakna.
Temporal Representation Learning of LMS Teaching Activity Sequences for Predicting Lecturer Performance in Higher Education Sulfadly; Muhammad Ahsan; Mawardi Kudin; Maemunah; Karkhi Mirza Kavari
Journal of Vocational, Informatics and Computer Education Vol 4, No 3 (2026): September 2026
Publisher : Academic Bright Collaboration

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66053/voice.v4i3.1365

Abstract

Purpose – This study evaluates a Temporal Representation Learning framework that addresses limitations of Learning Management System (LMS) evaluation based on aggregate activity counts by mapping chronological instructional interactions into latent representations to predict institutional Lecturer Performance Scores (LPS). Methods – Long Short-Term Memory (LSTM) and Transformer encoders modeled 144,178 activity logs from 262 instructors across 1,585 classes as event sequences. Performance was evaluated using five-fold cross-validation against aggregate-frequency baselines, including Decision Tree, Random Forest, Support Vector Regression, and XGBoost. An order-shuffling ablation assessed the contribution of chronological event order. Findings – Sequential models achieved lower prediction errors than conventional baselines. LSTM achieved a root mean square error (RMSE) of 4.35 ± 0.22 and R² of 0.89 ± 0.02, while the Transformer performed best, achieving RMSE of 4.10 ± 0.19, mean absolute error of 2.95 ± 0.15, and R² of 0.92 ± 0.01. Shuffling event order reduced Transformer performance to R² of 0.63 ± 0.04 and RMSE of 9.75 ± 0.35, supporting the predictive contribution of chronology. Exploratory K-means clustering identified three teaching activity archetypes, with a silhouette coefficient of 0.41. Research implications – Chronological interaction patterns capture predictive information overlooked by aggregate metrics, supporting the development of sequence-aware institutional analytics for lecturer performance evaluation. Originality – This study applies deep sequential representation learning to extract latent instructional activity patterns directly from uncurated LMS event streams and examines their predictive value through chronological order ablation.
Co-Authors Bahtiar Buhaerah Buhaerah Karkhi Mirza Kavari Maemunah Mawardi Kudin Sulfadly Sulfiani Sulfiani Tiara Usman ZulFiqar Busrah