Jurnal Universitas Dharma Andalas
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Pemanfaatan Aplikasi Augmented Reality Untuk Pembelajaran Organ Tubuh Manusia Di Sekolah Dasar
The development of technology is now increasingly advanced, and growing rapidly. This development certainly has an influence on various sectors of human life, one of which is the education sector. The latest rapid technological development is the increasingly frequent use of devices, especially the use of smartphones in everyday life, including in the field of education. This opens up great opportunities in utilising application technology on smartphones to be developed into application-based learning media. One of them is to utilise Augmented Reality technology on android applications in science learning media for elementary school students so that learning becomes more effective and increases students' enthusiasm for learning. For this reason, Augmented Reality (AR) based learning media was developed with the Unity AR application of human organs for elementary school students, as well as seeing the quality of the resulting learning media in terms of validity, attractiveness, and practicality. The results of development research in the form of AR learning media show very good results and are suitable for use as learning media, both in class and independently.Perkembangan teknologi sekarang ini semakin maju, dan tumbuh dengan pesat. Perkembangan ini tentu saja membawa pengaruh pada berbagai sektor kehidupan manusia, salah satunya adalah sektor pendidikan. Perkembangan teknologi terkini yang pesat adalah semakin seringnya penggunaan gawai, khususnya penggunaan smartphone dalam kehidupan sehari-hari, termasuk di bidang pendidikan. Hal ini membuka peluang besar dalam memanfaatkan teknologi aplikasi pada smartphone untuk dikembangkan menjadi media pembelajaran berbasis aplikasi. Salah satunya adalah dengan memanfaatkan teknologi Augmented Reality pada aplikasi android dalam media pembelajaran IPA bagi siswa Sekolah Dasar agar pembelajaran menjadi lebih efektif dan meningkatkan semangat belajar siswa. Untuk itu dikembangkan media pembelajaran berbasis Augmented Reality (AR) dengan aplikasi Unity AR organ tubuh manusia untuk siswa Sekolah Dasar, sekaligus melihat kualitas media pembelajaran yang dihasilkan ditinjau dari aspek validitas, kemenarikan, dan kepraktisan.Hasil penelitian pengembangan berupa media pembelajaran AR menunjukkan hasil sangat baik dan layak digunakan sebagai media pembelajaran, baik di kelas maupun secara mandiri
Sosialisasi Teknologi Informasi dalam Peningkatkan Kinerja Manajemen SDM di Koperasi Jasa Keuangan Syariah di Kelurahan Limau Manis Selatan Kecamatan Pauh Kota Padang
. This Community Service Activity is proposed as a form of implementing science to the community to handle various problems. The aim of community service activities carried out at the Sharia Financial Services Cooperative in Limau Manis Selatan Village, Pauh District, Padang City is to improve the quality of Human Resources (HR) performance in managing Cooperative activities. This goal was achieved because many staff in the cooperative were still unable to play the role of technology in supporting operational activities. The service method is carried out with an approach to implementation activities that includes the scope of implementation and work procedures. The results of the service activities that have been carried out are the application of information and communication technology to cooperative activities which will play a role in facilitating the process of implementing activities. Innovation is carried out with the aim of balancing and keeping up with current developments. The contribution of this service activity has an impact on the cooperative being more effective and efficient in management and improving HR performanc
The Green Accounting terhadap Profitabilitas pasca covid-19 pada perusahaan sektor industri barang konsumsi yang terdaftar di BEI 2020 - 2022
Penelitian ini bertujuan untuk menyusun dan mengetahui kesesuaian penyusunan laporan keuangan pada Jingga Batik Bukittinggi dengan standar akuntansi yang berlaku umum yaitu SAK ETAP. Penelitian ini menggunakan metode deskriptif Kuantitatif. Fokus penelitian adalah dokumen atau catatan yang berhubungan dengan laporan keuangan. Sumber data dalam penelitian ini menggunakan sumber data primer dan sekunder yang diperoleh dari Owner Jingga Batik Bukittinggi. Data penelitian ini dikumpulkan melalui wawancara dan dokumentasi. Hasil penelitian menemukan bahwa sistem pencatatan yang dilakukan oleh Jingga Batik Bukittinggi masih sangat sederhana sebatas mencatat pendapatan dan pengeluaran. Laporan keuangan menurut SAK ETAP terdiri dari laporan laba rugi, laporan perubahan ekuitas, laporan posisi keuangan, laporan arus kas, dan catatan atas laporan keuangan. Jingga Batik Bukittinggi belum menyusun laporan keuangan sesuai dengan standar yang berlaku umum karena keterbatasan pengetahuan dan pemahaman dalam bidang akuntansi sehingga penyusunan laporan keuangan tidak sesuai dengan SAK ETAP.
Keywords: Laporan keuangan; SAK ETA
Literasi Keuangan, Media Sosial dan Perilaku investasi Instrument Keuangan Syariah Generasi Muda dikota Padang
Investment behavior tends to be influenced by individuals' ability to process information related to the uncertainty of the risks they will face. Individuals' ability to respond to risk uncertainty is greatly influenced by their knowledge of the investment sector they will manage. Knowledge supported by measurable analytical skills is expected to provide considerations in making better investment decisions in the future. This study aims to determine the literacy of Islamic finance and the role of social media in influencing the investment behavior of Islamic financial instruments among the younger generation in the city of Padang. This research is also expected to contribute to developing relevant concepts and approaches to financial studies in improving Islamic financial literacy related to directing investment behavior in Islamic finance. The object of this research is the younger generation represented by students who already have knowledge and information about Islamic finance in the city of Padang. The data analysis technique used in this research is the structural equation model. The results show that financial literacy positively influences Islamic financial investment behavior, and social media significantly influences investment behavior as a mediating variable for Islamic financial instrument investments.
Abstrak
Perilaku investasi cendrung dipengaruhi oleh kemampuan individiu dalam mengolah informasi terkait ketidakpastian resiko yang akan dihadapi. Kemampuan individu dalam mensikapi ketidakastian resiko sangat dipengarui oleh pengetahuan individu atas sektor investasi yang akan dikelola. Pengetahuan yang didukung dengan kemapuan analisis yang terukur diharapkan mampu memberikan pertimbangan dalam proses pengambilan keputusan investasi yang lebih baik dimasa mendatang. Penelitian ini bertujuan untuk mengetahui literasi keuangan syariah dan peran media sosial dalam mempengaruhi perilaku investasi instrument keuangan syariah pada generasi muda dikota padang. Penelitian ini juga diharapkan mampu memberikan kontribusi dalam mengembangkan konsep serta pendekatan studi keuangan yang relevan dalam meningkatkan literasi keuangan syariah terkait dalam mengarahkan perilaku investasi keuangan syariah. Objek penelitian ini adalah generasi muda yang diwakili oleh mahasiswa yang telah memiliki pengetahuan dan informasi tentang keuangan syariah dikota Padang. Teknik analisis data yang digunakan ada penelitian yaitu model persamaan structural. Hasil penelitian memperlihatkan literasi keuangan secara positif memberikan pengaruh terhadap perilaku investasi keuangan syariah dan media sosial secara signifikan memberikan pengaruh sebagai variabel mediasi perilaku investasi instrumen keuangan syariah
Perbandingan Teknik Klasifikasi Catatan Medis untuk Indeks Antropometri Status Gizi Balita
Assessing the nutritional status of toddlers is crucial for monitoring their nutritional development. This study attempts to compare two methods of classifying the nutritional status of toddlers: using the K-Nearest Neighbors (K-NN) method and the Support Vector Machine (SVM) method based on anthropometric indices. The research aims to determine which technique is most effective for categorizing toddlers in the nutritional dataset. The data used for this process includes information such as gender, age, weight, height, and body mass index. We also calculate the nutritional status of toddlers based on anthropometric indices, including Weight for Age (WFA), Height for Age (HFA), Weight for Height (WFH), and Body Mass Index for Age (BMIFA). To gauge the effectiveness of these techniques, we use 827 toddler data as training data and 207 toddler data as test data. The results indicate that the K-Nearest Neighbors (K-NN) model achieves an accuracy of approximately 93.01%, while the SVM model has an accuracy of about 91.8%. This means that the K-NN model is slightly better than the SVM model in classifying the nutritional status of toddlers based on anthropometric indices.Menilai status gizi balita sangat penting untuk mengawasi perkembangan gizi balita. Penelitian ini mencoba membandingkan dua cara untuk mengklasifikasikan status gizi balita, yaitu dengan menggunakan metode K-Nearest Neighbors (K-NN) dan Support Vector Machine (SVM) berdasarkan Indeks Antropometri. Penelitian ini dilakukan untuk mengetahui teknik mana yang paling baik untuk mengelompokkan balita dalam dataset gizi balita. Data yang digunakan untuk proses ini mencakup informasi seperti jenis kelamin, usia, berat badan, tinggi badan, dan indeks massa tubuh. Kami juga menghitung status gizi balita berdasarkan indeks antropometri, berat badan untuk usia (WFA), tinggi badan untuk usia (HFA), berat badan untuk tinggi badan (WFH), dan indeks massa tubuh untuk usia (BMIFA). Dalam mengukur seberapa baik teknik ini bekerja, kami menggunakan 827 data balita sebagai data latihan dan 207 data balita sebagai data uji. Hasilnya menunjukkan bahwa model K-Nearest Neighbors (K-NN) memiliki akurasi sekitar 93,01%, sementara model SVM memiliki akurasi sekitar 91,8%. Ini berarti model K-NN sedikit lebih baik daripada model SVM dalam mengklasifikasikan status gizi balita berdasarkan indeks antropometri
Prediksi Penjualan Obat Dan Alat Kesehatan Terlaris Menggunakan Algoritma K-Nearest Neighbor
This vital health phenomenon raises problems related to identifying medicinal products and medical equipment that are most frequently prescribed by specialist doctors, and are in demand by patients, as well as efficient stock management. The main challenge faced by hospitals is the difficulty in predicting which medicines and health devices are most in demand. This research analyzes and predicts the best-selling medicines and medical devices based on historical sales and demand data. By adopting a machine learning approach using the K-Nearest Neighbors (KNN) algorithm, research can help hospitals optimize services, especially the availability of stock of medicines and health equipment. The analysis results provide deep insight into patient preferences and demand trends by specialist doctors, enabling smarter stock management adjustments. It is hoped that this solution will reduce stock shortages and waste of storage resources, contributing to more efficient healthcare services. In conclusion, this research shows that the KNN algorithm can provide intelligent solutions to overcome complex challenges in managing valuable health resources
Implementasi Metode Lean Ux User Interface Dan User Experience Pada Aplikasi Forum Group Discussion Charum
Even though the internet is very important for education, currently there is a phenomenon in Indonesia which shows a high interest in internet use by all age groups. Indonesians spend more time on their cell phones than reading newspapers to read popular news. However, the use of social media often has negative content such as hoaxes, hate speech, pornography and violence. To overcome this problem, an FGD (Forum Group Discussion) application called Charum was established. Charum is designed as a group discussion platform for various topics, including programming, job vacancies, politics and games. This application makes it easy to search for topics, search for popular topics, and follow existing threads. In its development, this application uses the Lean UX method with three processes: think, make, and check. At the checking stage, usability testing and usability scales are carried out to ensure that the designs made can solve existing problems.Meskipun internet sangat penting untuk pendidikan, saat ini ada fenomena di Indonesia yang menunjukkan minat yang tinggi pada penggunaan internet oleh semua kalangan umur. Orang Indonesia lebih sering menghabiskan waktu di ponsel daripada membaca koran untuk membaca berita populer. Namun, penggunaan media sosial sering kali memiliki konten negatif seperti hoaks, ujaran kebencian, pornografi, dan kekerasan. Untuk mengatasi masalah ini, didirikanlah aplikasi FGD (Forum Group Discussion) bernama Charum. Charum didesain sebagai platform diskusi kelompok untuk berbagai topik, termasuk pemrograman, lowongan pekerjaan, politik, dan game. Aplikasi ini memudahkan pencarian topik, mencari topik yang populer, dan mengikuti thread yang ada. Dalam pengembangannya, aplikasi ini menggunakan metode Lean UX dengan tiga proses: think, make, dan check. Pada tahap check, dilakukan usability testing dan usability scale untuk memastikan bahwa rancangan yang dibuat dapat menyelesaikan masalah yang ada
Implementasi Continuous Integration dan Otomatisasi Monitoring Job Server Dengan Jenkins pada Compute Engine
Job management, such as data migration for each division in a retail company, is still carried out separately on different servers. The damage reporting system is also still handled manually by the user. This results in difficulties in monitoring and handling damage to the job server. In this research, a system was implemented to automate monitoring, reporting, as well as unite separate jobs on several servers. The system created is based on Jenkins and integration with Python, Oracle Database, and PostgreSQL on a Google Compute Engine server. The resulting output is an email that is automatically created if an error occurs in running the job server, containing the log that is generated when the job server is running. System testing was carried out on 2 employees from each division according to their roles. The testing stages carried out are to ensure that the job performs according to its objectives, employees can carry out the job, and ensure that the damage job is sent successfully by email. Of all the tasks given, all employees successfully completed the tasks given. It can be concluded that the system has succeeded in meeting the needs of employees from each division, job server damage reports have been successfully standardized and sent automaticallyPengelolaan job seperti migrasi data pada masing-masing divisi di sebuah perusahaan retail masih dilakukan secara terpisah pada server yang berbeda-beda. Sistem pelaporan kerusakan juga masih dilakukan secara manual oleh user. Hal ini mengakibatkan kesulitan dalam monitoring dan penanganan kerusakan dari job server. Pada penelitian ini dibuat sebuah sistem yang bertujuan agar mengotomatisasi monitoring dan pelaporan, serta menyatukan job-job yang terpisah di beberapa server menjadi satu. Sistem yang dibuat berbasis Jenkins dan integrasinya dengan Python, Oracle Database, dan PostgreSQL pada server Google Compute Engine. Keluaran yang dihasilkan adalah email yang secara otomatis dibuat apabila terjadi kesalahan dalam menjalankan job server. Keluaran ini berisi output log yang di generate ketika job server berjalan. Pengujian sistem dilakukan terhadap 2 orang karyawan dari setiap divisi sesuai dengan rolenya. Tahapan pengujian yang dilakukan adalah memastikan job tampil sesuai tujuannya, karyawan dapat menjalankan job, serta memastikan bahwa email kerusakan berhasil terkirimkan. Dari semua task yang diberikan, semua karyawan berhasil menyelesaikan task yang diberikan. Dapatlah disimpulkan bahwa implementasi sistem berhasil memenuhi kebutuhan karyawan dari masing-masing divisi, laporan kerusakan job server berhasil distandarisasi dan terkirim secara otomati
Pemanfaatan ISO 27001:2022 Dalam Keamanan Informasi pada Transformasi Digital BPRACo
In the digital age of the Industrial Revolution 4.0, organizations like BPRACo must undergo Digital Transformation (DT). A significant challenge is the lack of adequate information security controls, which can lead to DT failure. Smaller banks, such as BPR, face difficulties in adopting effective information security management strategies that are proven for larger institutions. This study aims to identify the application of ISO 27001:2022 standards and develop an information security management system focusing on the most critical annex clauses for SME digital transformation. It also seeks to evaluate and analyze the impact of an information security management system aligned with these key clauses on SME DT success. The research employs a five-stage Design Science Research (DSR). Data were collected through interviews and document analysis, then analyzed using the ISO 27001:2022 framework for Information Security Management Systems (ISMS). The study identified six priority Clause and Annex controls for BPRACo. Based on the gaps, six essential solutions were designed, compiled into an implementation roadmap to enhance BPRACo readiness for full ISMS implementation and certification, supporting DT success in small banks. This research provides valuable insights and practical implications for information security management in small banks.In the digital age of the Industrial Revolution 4.0, organizations like BPRACo must undergo Digital Transformation (DT). A significant challenge is the lack of adequate information security controls, which can lead to DT failure. Smaller banks, such as BPR, face difficulties in adopting effective information security management strategies that are proven for larger institutions. This study aims to identify the application of ISO 27001:2022 standards and develop an information security management system focusing on the most critical annex clauses for SME digital transformation. It also seeks to evaluate and analyze the impact of an information security management system aligned with these key clauses on SME DT success. The research employs a five-stage Design Science Research (DSR). Data were collected through interviews and document analysis, then analyzed using the ISO 27001:2022 framework for Information Security Management Systems (ISMS). The study identified six priority Clause and Annex controls for BPRACo. Based on the gaps, six essential solutions were designed, compiled into an implementation roadmap to enhance BPRACo readiness for full ISMS implementation and certification, supporting DT success in small banks. This research provides valuable insights and practical implications for information security management in small banks
Short-Term Cryptocurrency Price Prediction Using Bi-LSTM Method with Interactive Web
Short-term Bitcoin price prediction is a crucial aspect of transaction decision-making, especially for investors. In this study, a Bidirectional Long Short-Term Memory (Bi-LSTM) model was developed for short-term Bitcoin price prediction. The Bidirectional LSTM is designed to capture temporal context in both directions, allowing the model to process information from past and future time steps simultaneously. The model was validated using real-world data, including Bitcoin stock price datasets. The results show that the model achieved high accuracy, with a Root Mean Square Error (RMSE) of 56.90 on the training data and 157.35 on the test data, along with a Mean Absolute Error (MAE) of 366.40 and 486.63, respectively. The Bidirectional Least Square Memory model accurately predicted Bitcoin prices over a specific time period. This application integrates the model into a web application, enabling users to obtain real-time Bitcoin price predictions through a user-friendly interface