Journal of Digital Ecosystem for Natural Sustainability

Pemanfaatan Switch Button Dalam Konversi Sistem Bilangan Biner ke Desimal Untuk Media Pembelajaran

Yuni Roza, Musliadi KH, Yonky Pernando — Fri, 19 Jan 2024 00:00:00 +0000

Teknologi komputer merupakan ilmu yang berhubungan dengan komputasi, salah satu komputasinya berupa sistem bilangan. Sistem bilangan dapat berupa bilangan biner, oktal, desimal dan hexa desimal. Secara harfiah, teknologi komputer hanya bekerja dengan bahasa mesin yaitu 1 dan 0. Untuk mempelajari konsep kerja dari proses konversi bilangan dari biner menjadi bilangan desimal, diperlukan simulasi atau percangan prototipe sederhana. Apa lagi jika ingin mengetahui konfigurasi perangkat hingga penerapan logika algoritama konversi, tentu memerlukan media sebagai alat bantu. Untuk memenuhi kebutuhan tersebut, maka diperlukan perancangan aplikasi memanfaatkan switch button dalam konversi sistem bilangan biner dan desimal untuk media pembelajaran. Konsep perancangan yang digunakan menerapkan pendekatan model extreme programming yang disederhanakan menjadi empat bagian, yakni: perencanaan, pengembangan, pengujian dan kesimpulan. Hasil pembuatan aplikasi dan evaluasi yang dilakukan setelah melakukan pengujian secara internal untuk mengetahui semua fungsi komponen inputan menunjukkan bawah semua komponen dari aplikasi tersebut berfungsi sebagaimana yang diinginkan.

Rancangan Gim Visual Novel “GO VEGETARIAN” Untuk Edukasi Pola Hidup Sehat

Anthonius, Holong Marisi Simalango — Fri, 19 Jan 2024 00:00:00 +0000

A vegetarian diet is a pattern that avoids meat consumption and increases the intake of plant-based foods, which has attracted public interest with claims of its health benefits. Starting a vegetarian diet correctly and ensuring adequate nutritional information is a challenge for beginners. Very few outreach media still suit young people's needs in visual form. This research aims to design and build an Android-based visual novel game as an easy-to-understand educational medium about the vegetarian lifestyle. Game development applies the Game Development Life Cycle (GDLC) section and beta testing using data collection techniques through questionnaires. The application was made using Unity Engine version 2020. The results of the research through the creation of a visual novel game showed that the results of a questionnaire were obtained where 66.7% of respondents answered that they were very motivated to become vegetarian and 57.6% responded that they were very interested in adopting a vegetarian lifestyle.

Optimalisasi Pembelajaran Melalui Aplikasi Interaktif di Pondok Pesantren XYZ Polewali Mandar

Musliadi KH, Asriyani Ismail; Ayu Hasnining — Mon, 22 Jul 2024 00:00:00 +0000

The low ability of humans to absorb material from what they read, hear, and see, and the combination of seeing and hearing increases the absorption of material by up to 50%. This situation shows the need for efforts to improve student learning outcomes. One solution proposed to overcome this problem is using interactive animation in learning. This research aims to analyze, design, and implement interactive learning applications at the XYZ Islamic Boarding School in Polewali Mandar Regency. Then examine how information and communication technology can be used to overcome the problem of lack of teaching aids and make the learning process more interesting and effective. Research methods include needs analysis, application design, development, and implementation evaluation. This study also refers to the successful use of multimedia technology in education, such as multimedia-based Al-Quran learning applications and interactive educational games that increase student learning motivation. The research results in the form of interactive learning applications can improve the quality of learning in Islamic boarding schools, make the teaching and learning process more fun and interactive, and help students absorb material more effectively.

Simulasi Monte Carlo Untuk Memprediksi Persediaan Darah

Wanda Ilham, Ilwan Syafrinal — Tue, 23 Jul 2024 00:00:00 +0000

Blood is a combination of plasma and cells that circulate throughout the body, functioning to distribute oxygen and nutrients. Predicting the need for blood supplies at a certain time is a complex challenge because it is influenced by various factors such as the number of donors, patient demand, and the limited shelf life of blood. Monte Carlo simulation has emerged as a useful tool in modeling and predicting the state of complex systems. In the context of blood supply, Monte Carlo Simulation allows researchers and hospital administrators to identify optimal supply levels taking into account various existing variables and uncertainties. This method uses random numbers to simulate various scenarios that may occur in the future, helping in planning more accurately and responsively to changes in blood demand and supply. Thus, Monte Carlo Simulation plays an important role in ensuring sufficient blood availability, reducing the risk of shortages, and optimizing blood supply management in hospitals and blood transfusion units.

Paradigma Kualitatif dalam Klasifikasi Jenis Citra: Menggali Teori Revolusi Ilmiah Thomas Kuhn

Yonky Pernando — Wed, 24 Jul 2024 00:00:00 +0000

This research describes the impact of paradigm changes in science, especially in the context of image type classification. By paying attention to Thomas Kuhn's concept of paradigm, the research presents a review of contemporary historiography that highlights how paradigm shifts influence the way scientists see the world, introduce new instruments, and seek new places. However, as technologies like AI increasingly seep into everyday life, doubts remain, especially if the technology is perceived as unable to solve problems or provide the desired assistance. In the face of these doubts, the research proposes that the philosophy of communication science can provide in-depth theoretical insights, provide space for critical reflection on existing paradigms, and guide researchers in understanding the evolution of paradigms for image type classification methods. In addition, this research also considers the importance of image type classification in the context of AI technology. By identifying different types of imagery and their role as input to AI algorithms, this research provides a theoretical foundation for further understanding how AI technologies process and interpret visual data. Through a comprehensive literature review, this research aims to fill existing knowledge gaps and provide a strong theoretical basis to support further research in the field of image type classification and AI technology implementation.

Implementasi Web 3D untuk Pembelajaran Basic Life Support CPR dengan Teknik Gamifikasi

Ihsan Verdian — Wed, 24 Jul 2024 00:00:00 +0000

The focus of this research is on designing an alternative interactive 3D learning media specifically for basic life support CPR for students. The goal is to provide an interactive learning media option on basic life support CPR at School. The basic life support CPR material is combined with 3D interactive media using Gamification and Game Development Life Cycle (GDLC) methods. This learning media integrates basic life support CPR content, game scenarios, and interactive elements to create an engaging and realistic learning experience. The expected outcome of this research is an engaging learning media for students to learn basic life support CPR and to facilitate educators in delivering this material effectively. Application testing will be conducted through game testing, public beta, and questionnaires.

Implementasi Support Vector Machine untuk Klasifikasi Kasus Monkeypox: Pendekatan Oversampling dan Undersampling untuk Mengatasi Ketidakseimbangan Kelas

Cindy, Tiffany Sabatini, Vincent Itan — Thu, 25 Jul 2024 00:00:00 +0000

Monkeypox is an infectious disease caused by the monkeypox virus. This study applies the Support Vector Machine (SVM) method to classify monkeypox cases. Utilizing SVM aids in accurate diagnosis and prevention measures. Preprocessing involves Random Oversampling (ROS) and Random Undersampling (RUS) to address class imbalance in symptom datasets. SVM classification is based on systemic symptoms and clinical signs. Evaluation via Confusion Matrix assesses accuracy, sensitivity, specificity, and AUC, with average accuracy reaching 67.1% for imbalanced data and 36.5% for balanced data. The method outperforms conventional techniques, demonstrating its potential in monkeypox symptom pattern recognition. Results indicate higher accuracy in diagnosing monkeypox using SVM, despite class imbalances. This study contributes to understanding, predicting, and managing monkeypox outbreaks effectively.