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All Journal Vokatek : Jurnal Pengabdian Masyarakat Journal of Embedded Systems, Security and Intelligent Systems Jurnal MediaTIK Journal of Vocational, Informatics and Computer Education
Ridwan Daud Mahande
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Humanities Computer Science & IT Education Social Sciences Other

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Manajemen Referensi dengan Aplikasi Zotero untuk Meningkatkan Kualitas Publikasi Mahasiswa Baso, Fadhlirrahman; Fathahillah; Ridwan Daud Mahande; Surianto, Dewi Fatmarani; Edy, Marwan Ramdhany; Wahyudi; Akmal Hidayat
Vokatek : Jurnal Pengabdian Masyarakat Volume 1: Issue 2 (Juni 2023)
Publisher : Sakura Digital Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61255/vokatekjpm.v1i2.77

Abstract

Mengacu pada karya tulis ilmiah sebagai syarat kelulusan mahasiswa, dosen wajib membekali mahasiswanya dengan memberikan materi terkait pemahaman referensi dan manajemennya. Melihat pentingnya hal tersebut, tim peneliti berinisiatif mengadakan pemberian materi dan pelatihan pemanfaatan aplikasi manajemen referensi. Aplikasi manajemen referensi yang digunakan dan dipaparkan pada materi dan pelatihan ini adalah aplikasi Zotero. Aktivitas pengabdian masyarakat ini bertujuan agar mahasiswa dapat meningkatkan kualitas publikasi dan dapat terhindar dari bahaya plagiarisme pada karya tulis ilmiah. Metode yang digunakan yaitu dengan pemaparan materi, praktik Zotero, dan Focus Group Discussion. Hasil pelatihan ini menunjukkan seluruh peserta sangat antusias dalam pelaksanaannya. Para peserta juga merespon positif pelatihan ini karena memiliki banyak manfaat dalam penggunaannya.
Pelaksanaan Workshop Zotero Untuk Penulisan Karya Tulis Ilmiah Mahasiswa Fakultas Teknik Universitas Negeri Makassar Kurnia Prima Putra; Baso, Fadhlirrahman; Aminuddin Bakry; Syahrul; M. Syahid Nur Wahid; Ridwan Daud Mahande; Jumadi Mabe Parenreng; Nurdin, Nurdin
Vokatek : Jurnal Pengabdian Masyarakat Volume 1: Issue 2 (Juni 2023)
Publisher : Sakura Digital Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61255/vokatekjpm.v1i2.83

Abstract

This community engagement initiative aims to conduct a workshop on Zotero for students in writing academic papers. The workshop intends to introduce the use of Zotero as a tool for managing references and compiling accurate bibliographies. The methodology employed involves an interactive workshop format consisting of presentations, practical demonstrations, and question-and-answer sessions. The expected outcome of this community engagement is to provide significant benefits to students in enhancing their skills in academic writing. By utilizing Zotero, it is anticipated that students will become more efficient in managing references, avoiding plagiarism, and creating comprehensive and accurate bibliographies. Furthermore, the workshop seeks to improve students' understanding of research ethics and the use of quality information sources. This workshop aims to cater to diverse needs in academic paper writing. Additionally, the workshop serves as a catalyst for promoting the adoption of modern technologies and tools in academic writing.
Pengaruh Game Online Terhadap Hasil Belajar Siswa Sekolah Menengah Kejuruan Jeneponto Sanatang; Ridwan Daud Mahande; Serly
Jurnal MediaTIK Volume 7 Issue 2, Mei (2024)
Publisher : Jurusan Teknik Informatika dan Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/mediatik.v7i2.2510

Abstract

Penelitian ini bertujuan untuk mengetahui pengaruh game online terhadap hasil belajar siswa sekolah menegah kejuruan (SMK) Negeri 2 Jeneponto. Penelitian ini menggunakan desain ex-post facto. Data dikumpulkan menggunakan kuesioner, wawancara, dan dokumentasi yang didistribusikan kepada 50 orang siswa yang dipilih secara jenuh. Data dianalisis menggunakan statistik deskriptif dan statistik inferensial dengen program SPSS versi 22. Hasil penelitian menunjukkan bahwa terdapat pengaruh game online terhadap hasil belajar siswa yang dibuktikan dengan hasil uji hipotesis dengan regresi liniar sederhana. Dimana nilai signifikan lebih kecil dari probabilitas 0,05 atau 0,003 < 0,05 dan uji model summary X terhadap Y dimana nilai korelasi atau hubungan (R) yaitu sebesar 0,417. Kemampuan R Square atau variabel game online dalam menjelaskan varians variabel hasil belajar sebesar 17,4%. Hasil uji hipotesis menunjukkan nilai -3,179 lebih besar dari nilai =1,676. Dengan demikian, terdapat pengaruh negatif game online terhadap hasil belajar siswa.
LSTM Based Stock Price Forecasting Using RSI and MACD: A Case Study On BBRI Nurul Mukhlisah Abdal; Ridwan Daud Mahande; Maya Sari Wahyuni; Andi Muhammad Amil Siddik
Journal of Embedded Systems, Security and Intelligent Systems Vol 6, No 2 (2025): June 2025
Publisher : Program Studi Teknik Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/jessi.v6i2.8518

Abstract

The high volatility and non-linearity of stock market data present significant challenges in forecasting price movements. This study aims to develop an accurate predictive model for the daily closing price of PT Bank Rakyat Indonesia (Persero) Tbk (BBRI) using a Long Short-Term Memory (LSTM) neural network. The primary objective is to enhance predictive accuracy by incorporating technical indicators—Relative Strength Index (RSI) and Moving Average Convergence Divergence (MACD)—into the model architecture. Historical stock data from 2010 to 2024 were collected from Yahoo Finance. The dataset was preprocessed through data cleaning, feature engineering, normalization, and time-based splitting into training and testing sets. The LSTM model was trained using the Mean Squared Error (MSE) loss function and optimized with the Adam optimizer. Model performance was evaluated based on key metrics including MSE, Root Mean Squared Error (RMSE), and Mean Absolute Error (MAE). The results indicate that the model performs effectively, with training RMSE of 73.61 and testing RMSE of 92.47. These findings demonstrate that the LSTM model, enriched with RSI and MACD indicators, is capable of capturing temporal patterns in stock prices and generating reliable forecasts. The study contributes to the growing body of literature on deep learning applications in financial forecasting, and offers practical insights for investors and analysts in understanding market behavior and supporting data-driven decision-making.
Self-Efficacy and School Support on Students' Behavioral Intention to Adopt Learning Technologies: The Mediating Roles of TPACK and Perceived Usefulness Putri Maharani, Geby; Alifiya NFH; Ridwan Daud Mahande; Soeharto; Nguyen Van Son
Journal of Vocational, Informatics and Computer Education Vol 4, No 1 (2026): March 2026
Publisher : Academic Bright Collaboration

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66053/voice.v4i1.403

Abstract

Purpose – Despite the increasing integration of digital technologies in higher education, students’ actual adoption remains inconsistent. Prior studies have predominantly relied on the Technology Acceptance Model (TAM), with limited attention to pedagogical technological competence and the interaction between psychological and institutional factors. This study aims to examine the influence of Self-Efficacy and School Support on students’ Behavioral Intention to use educational technology, with the mediating roles of Perceived Usefulness and Technological Pedagogical Content Knowledge (TPACK).Methods – A quantitative approach with a cross-sectional survey design was employed. Data were collected from 330 university students in South Sulawesi, Indonesia, using an online questionnaire and analyzed through Partial Least Squares Structural Equation Modeling (PLS-SEM).Findings - The results show that Self-Efficacy significantly influences TPACK (β = 0.751, p < 0.001) and Perceived Usefulness (β = 0.798, p < 0.001), while School Support significantly affects TPACK (β = 0.174, p < 0.001). Furthermore, TPACK (β = 0.603, p < 0.001) and Perceived Usefulness (β = 0.267, p < 0.001) significantly predict Behavioral Intention. Mediation analysis indicates that Perceived Usefulness (β = 0.213, p < 0.001) and TPACK (β = 0.105–0.453, p < 0.001) serve as significant mediators.Research implications – These findings emphasize the importance of enhancing students’ technological competence and strengthening institutional support systems to promote effective technology adoption. However, the study is limited to a specific regional context, which may affect generalizability.Originality – This study extends TAM–TPACK integration by introducing a dual mediation framework that simultaneously examines psychological (Self-Efficacy) and institutional (School Support) factors in university students, highlighting the mediating roles of Perceived Usefulness and TPACK in technology adoption..
Co-Authors Akmal Hidayat Alifiya NFH Aminuddin Bakry Andi Muhammad Amil Siddik Baso, Fadhlirrahman Dewi Fatmarani Surianto Edy, Marwan Ramdhany Fathahillah Jasruddin Jumadi Mabe Parenreng Kurnia Prima Putra M. Syahid Nur Wahid Nguyen Van Son Nurdin Nurdin Nurul Mukhlisah Abdal Putri Maharani, Geby Sanatang SERLY Soeharto Syahrul Wahyu Hidayat M WAHYUDI Wahyuni, Maya Sari