Article Per Year (5 Year)
p-Index From 2021 - 2026
1.937
P-Index
This Author published in this journals
All Journal Ilmu Administrasi Publik ARRUS Journal of Social Sciences and Humanities Prosiding Seminar Nasional Pengabdian Kepada Masyarakat Jurnal Administrasi Publik Information Technology Education Journal Nusantara Journal of Multidisciplinary Science Journal of Social Sciences and Economics IJAE Journal of Public Policy and Regional Government (JPPLG) Compass: Journal of Education and Counselling
jamaluddin
Department Of Office Administration, Universitas Negeri Makassar, Makassar, 90223, Indonesia
Religion Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Public Health Social Sciences Other

Published : 14 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 14 Documents
Search

 1   2 
Efektifitas Model Pembelajaran Problem Based Learning Terhadap Hasil Belajar Siswa Kelas XI Sekolah Menengah Kejuruan (SMK) Negeri 4 Gowa Jeli Novitasari; Jamaluddin; Nurmila
COMPASS: Journal of Education and Counselling Vol. 1 No. 3 (2024): Compass: Journal of Education and Counselling, February 2024
Publisher : ASIAN PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58738/compass.v1i3.456

Abstract

Penelitian ini merupakan penelitian eksperimen semu (quasi eksperimen) yang bertujuan untuk mengetahui pengaruh model pembelajaran problem based learning terhadap hasil belajar siswa, perbedaan hasil belajar siswa antara model pembelajaran problem based learning dengan model konvensional, serta untuk mengetahui efektifitas model pembelajaran problem based learning terhadap hasil belajar siswa pada mata pelajaran agribisnis tanaman buah di kelas XI ATPH SMK Negeri 4 Gowa. Data penelitian diperoleh dari tes hasil belajar siswa (pretest dan posttest) pada mata pelajaran agribisnis tanaman buah. Teknik Analisa data yang digunakan yaitu uji normalitas, uji homogenitas, uji hipotesis (uji paired sample t test dan uji independent sample t test), serta uji N-gain. Hasil penelitian terjadi peningkatan hasil belajar sebelum dan setelah diterapkan model pembelajaran PBL dengan hasil analisis uji paired sample t test diketahui bahwa pada kelompok eksperimen nilai Sig. (2-tailed) yaitu 0,000 < 0,05 yang artinya ada perbedaan rata- rata hasil belajar sebelum dan setelah diterapkan model PBL dimana rata-rata nilai pretest kelompok eksperimen 48,75 dan rata-rata nilai posttest 85,25. Berdasarkan hasil analisis uji independent sample t test diketahui bahwa nilai Sig. (2tailed) yaitu 0,000 < 0,05 yang artinya ada perbedaan rata-rata hasil belajar siswa antara kelompok eksperimen (model pembelajaran PBL) dengan kelompok kontrol (model pembelajaran konvensional), dimana persentase ketuntasan kelompok eksperimen adalah 95% sedaangkan kelompok kontrol 70% artinya model PBL lebih baik dibandingkan model konvensional. Berdasarkan hasil uji N-gain menunjukkan bahwa pada kelompok eksperimen (model PBL) nilai rata-rata N- Gain sebesar 70,2% termasuk dalam kategori tafsiran cukup efektif. Sementara pada kelompok kontrol (model konvensional) nilai rata-rata N-Gain sebesar 53,61% termasuk dalam kategori tafsiran kurang efektif.
Pengembangan LKPD Matematika Berbasis Deep Learning Untuk Meningkatkan Kemampuan Literasi Numerasi Dan Berpikir Kritis Siswa Sekolah Dasar Jamaluddin; Hamriani; Sri Hudaya
Nusantara Journal of Multidisciplinary Science Vol. 3 No. 9 (2026): NJMS - April 2026
Publisher : PT. Inovasi Teknologi Komputer

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

Abstract

Rendahnya capaian literasi numerasi dan berpikir kritis siswa sekolah dasar di Indonesia menjadi persoalan mendesak yang memerlukan solusi inovatif berbasis bahan ajar. Penelitian ini bertujuan mengkaji kelayakan dan efektivitas Lembar Kerja Peserta Didik (LKPD) matematika berbasis deep learning dalam meningkatkan kemampuan literasi numerasi dan berpikir kritis siswa sekolah dasar. Metode yang digunakan adalah Systematic Literature Review (SLR) dengan protokol PRISMA, melalui penelusuran basis data Google Scholar, ERIC, dan Semantic Scholar. Dari 309 artikel yang teridentifikasi, sebanyak 10 artikel memenuhi kriteria inklusi dan dianalisis secara mendalam. Hasil kajian menunjukkan bahwa LKPD berbasis deep learning secara konsisten menghasilkan tingkat validitas 77–90%, kepraktisan 84–100%, dan efektivitas yang dikonfirmasi melalui peningkatan N-Gain serta uji statistik yang signifikan. Pendekatan deep learning yang menekankan pembelajaran meaningful, mindful, dan joyful terbukti mampu meningkatkan literasi numerasi dan berpikir kritis siswa secara simultan. Penelitian ini menyimpulkan bahwa LKPD matematika berbasis deep learning merupakan inovasi bahan ajar yang valid, praktis, dan efektif untuk diterapkan di sekolah dasar
Lacak Akademik: A Prototyped Early Warning System for Monitoring Student Academic Risk M Syahid Nur Wahid; Jamaluddin; Muhammad Rais
Information Technology Education Journal Vol. 4, No. 1, February (2025)
Publisher : Jurusan Teknik Informatika dan Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/intec.v4i1.7336

Abstract

The academic condition of students is one of the qualities that must be improved. Various efforts must be made to support the academic improvement. Including the need for monitoring academic conditions to find out conditions early in order to prevent early dropout or dropout of study limits. This research aims to develop the Academic Tracking application as a solution in improving student academic monitoring at the Faculty of Engineering, Makassar State University. This research was conducted through a Research and Development (R&D) approach with a prototype development model. This model allows system design to be done interactively based on user input. The development of this application involves students, academic supervisors, and parents of students, operators, and leaders as the main users. The development process includes the needs analysis stage, design stage, prototyping, user evaluation, system improvement, and final implementation. Testing was conducted using the black box testing method which included six types of scenarios with a total of 34 tests. The test results showed that 33 scenarios were as expected and only one scenario was not, resulting in a score of 95.83%. This application has also been evaluated by several users on various aspects and obtained a score of 88.08% with a very effective status. This application is proven to be effective in monitoring student academic progress more optimally and is expected to reduce student dropout rates. With the features developed, this system can increase the involvement of students, lecturers, and parents in supporting student academic success.
Trends and Research Streams in Small and Medium Enterprises Financial Management: A Bibliometric Analysis Jamaluddin Jamaluddin; Nurul Maghfirah Surianto
ARRUS Journal of Social Sciences and Humanities Vol. 6 No. 1 (2026)
Publisher : PT ARRUS Intelektual Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/soshum4784

Abstract

This study aims to examine the evolving trends and research streams in SME financial management through a bibliometric analysis of the existing literature. Using a systematic dataset extracted from a reputable academic database, the study employs VOSviewer to generate network, overlay, and density visualizations in order to map the intellectual structure, thematic evolution, and research intensity within this field. The analysis focuses on identifying dominant themes, emerging topics, and the interrelationships among key concepts in SME financial management research. The findings reveal that SME financial management research is predominantly centered on financial performance and organizational performance, which form the core research stream and exhibit the highest level of connectivity and density. Established themes such as risk management, supply chain finance, and industry dynamics remain integral to the literature, while more recent studies increasingly emphasize sustainability, circular economy practices, blockchain technology, and green supply chain management. However, advanced digital technologies, including deep learning and autonomous robotic technology, appear as emerging yet weakly integrated themes. Overall, this study provides a comprehensive overview of the intellectual landscape of SME financial management and highlights underexplored areas that offer promising directions for future research.
Co-Authors A. Muhammad Fajar Maulana A. Muliati Ainur Padli Anita Harman Aslindah Hasanuddin Besse Fahmy Wahyuni Hamriani Jeli Novitasari M. Syahid Nur Wahid Muh. Darwis Muh. Nasrullah Muh. Nursyam Muhammad Rais Mutmainnah Mutmainnah Nur Alfiah Nurmila Nurul Maghfirah Surianto Rezki Suci Risma Niswaty Rudi Salam Sitti Hardiyanti Arhas Sri Hudaya Suprianto Suprianto Suprianto Wana Wana