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EXPLORER
Published by Forum Kerjasama Pendidikan TInggi
ISSN : -     EISSN : 27744647     DOI : https://doi.org/10.47065/explorer.v2i1.148
Core Subject : Science,
Computer Science & IT
EXPLORER Journal of Computer Science and Information Technology is a scientific journal published by the FKPT (Forum Kerjasama Pendidikan Tinggi). This journal contains scientific papers from Academics, Researchers, and Practitioners about research on Computer Science and Information Technology. EXPLORER Journal of Computer Science and Information Technology is published twice a year in January and July. The paper is an original script and has a research base on Computer Science and Information Technology. The scope of the paper includes several studies but is not limited to the study Artificial Intelligence, Computer Graphics and Animation, Image Processing, Cryptography, Computer Network Security, Modelling and Simulation, Multimedia, Computer Architecture Design, Computer Vision and Robotics, Parallel and Distributed Computing, Operating System, Information System, Mobile Computing, Natural Language Processing, Data Mining, Machine Learning, Expert System and Geographical Information System. Thus, we invite Academics, Researchers, and Practitioners to participate in submitting their work to this journal.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 7 Documents
 1 
Search results for , issue "Vol 5 No 1 (2025): January 2025" : 7 Documents clear
Media Pembelajaran Praktikum Jaringan Komputer Berbasis Augmented Reality dengan Metode Marker Based Tracking Wulandari, Suci; Dafitri, Haida; Lubis, Yessi Fitri Annisah
Explorer Vol 5 No 1 (2025): January 2025
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/explorer.v5i1.1719

Abstract

This study aims to create a learning media for computer network practicum based on Virtual Lab simulation using Augmented Reality (AR) technology that can be used by Istiqlal Vocational High School students to direct computer networks anytime and anywhere. This learning media is created to help students understand the basic concepts of 3D object computer networks that appear in the real world through mobile devices in a more interactive and interesting way. The method used in this study is Marker Based Tracking. This learning media utilizes markers to display 3D learning objects that can be interacted with by students, thus helping them understand the material more deeply and practically. The results of the study showed that the use of AR with the Marker Based Tracking method was effective in improving students' understanding of computer network material. Students were more interested and active in practicums, and were able to apply theories in real 3D object simulations, which increased the effectiveness of learning. Based on the results of trials on 23 respondents, most users gave positive responses to the 3D objects provided, with 91.7% of users assessing the 3D objects presented as good quality, and 75% felt that this application increased interest in learning. In addition, 83.3% of respondents felt helped in understanding the material.
Otentikasi Dua Faktor Menggunakan Totp dengan SHA-512 untuk Sistem Pemilihan Presiden Mahasiswa Arisandi, Diki; Hartati, Seri; Vrabora, Givo
Explorer Vol 5 No 1 (2025): January 2025
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/explorer.v5i1.1782

Abstract

This study originated from the need for a secure election system in academic environments, particularly to address credential theft and cyberattack threats in the security of the Student Presidential election system. Ensuring security in student election systems presents a significant challenge, as conventional authentication methods are prone to voter identity authenticity manipulation. Therefore, this research proposes a two-factor authentication model using Time-Based One-Time Password (TOTP) based on the SHA-512 algorithm. This model provides an additional layer of security through time-based authentication and a stronger hash mechanism against attacks. Testing was conducted involving several user accounts from Gmail applications, where OTP codes were successfully sent to the users' email accounts. The results indicated that TOTP delivery and validation times ranged between 150 and 300 ms, with user satisfaction levels exceeding 80%. The implications of this study include enhanced security in the student presidential election system within academic environments and the potential for broader adoption in other fields requiring user authentication
Implementasi Algoritma Greedy pada Rute Wisata Danau Tao Desa Batang Onang Baru Berbasis Website Siregar, Riska Novasari; Aulia, Rahmat; Siregar, Rosyidah
Explorer Vol 5 No 1 (2025): January 2025
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/explorer.v5i1.1755

Abstract

This study aims to facilitate the travel of tourists visiting Tao Lake and increase travel efficiency by determining the fastest route. One of the methods used to determine the fastest route to Tao Lake is the greedy algorithm method. The advantage of the greedy algorithm is that it is fast in acting and does not take long to consider the consequences of what is decided so that it is very easy to implement in several existing problems. This website was created for the Gunung Tua and Padang Sidempuan areas. The results of the trial of the Tao Lake tourism website using a black box stated that the results of the website's feasibility point were 54% strongly agree, 26% agree, 14% disagree and 6% strongly disagree. The results of the website user satisfaction point were 58% strongly agree, 32% agree, 6% disagree and 4% strongly disagree.
Penerapan Metode Analytical Hierarchy Process dalam Pemilihan Human Personality Azhar, Zulfi; Putri, Wan Hafizah Ainun Syah; Mahfuz, Rizky Putri
Explorer Vol 5 No 1 (2025): January 2025
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/explorer.v5i1.1787

Abstract

To obtain personality criteria based on the work provided, several agencies usually set standard personalities that prospective workers must possess, with the aim that workers can work in fields that support their personalities. Likewise, the Siumbut-umbut Kisaran Village Office sets standard personalities that must be possessed by each employee so that the work carried out has optimal results. This study aims to determine the type of personality appropriate for work in the Siumbut-umbut Kisaran Village Office using the Analytical Hierarchy Process (AHP) method. Decision Support Systems (DSS) are applied to overcome problems in determining standard personalities for employees so that work results are optimal. This study found that the highest personality priority is Phlegmatic (K2), and the prioritized alternative is Eva Wulandari (At1).
Analisis Segmentasi Pasien Berdasarkan Persepsi Kualitas Pelayanan dengan Algoritma Clustering Frangky, Frangky; Sinaga, Rudolf; Raihansyah, M.
Explorer Vol 5 No 1 (2025): January 2025
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/explorer.v5i1.1818

Abstract

Patient segmentation based on perceptions of service quality is a crucial step in improving patient experiences, optimizing resources, and enhancing healthcare service quality. However, understanding patients' needs and priorities in depth poses a challenge, particularly for hospitals serving populations with diverse demographic backgrounds. This study aims to cluster patients in a private hospital in Jambi City based on their perceptions of service quality using the K-Means algorithm. Data were collected from a 2022-2023 survey, covering patient demographics and perceptions of service quality. The data were processed through preprocessing steps, including missing value imputation, normalization, and encoding. The optimal number of clusters was determined using the Elbow and Silhouette Score methods. The results revealed three main clusters with distinct characteristics. The first cluster (34.29%) includes patients prioritizing service speed and procedural ease. The second cluster (46.12%) consists of patients who emphasize staff competence and cost fairness as their main priorities. The third cluster (19.59%) comprises patients with higher educational backgrounds who are more critical of facility quality and complaint handling. Evaluation using the Davies-Bouldin index demonstrated good cluster separation (score -0.645). This study concludes that patient segmentation based on perceptions of service quality can serve as a foundation for strategic decision-making to improve hospital service quality. Recommendations for future research include applying other algorithms such as DBSCAN, integrating sentiment analysis, and employing a hybrid approach to predict patient needs. These approaches are expected to provide a deeper understanding and more effective personalization of patient care.
Optimasi Fungsi Aktivasi pada Artificial Neural Network untuk Prediksi Gagal Jantung Secara Akurat Raharjo, Mokhamad Ramdhani; Indra Riyana Rahadjeng; Siregar, Muhammad Noor Hasan; Alkhairi, Putrama
Explorer Vol 5 No 1 (2025): January 2025
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/explorer.v5i1.1840

Abstract

Heart failure is one of the major health problems that can be fatal if not diagnosed properly and quickly. Therefore, early prediction using artificial intelligence models, especially Artificial Neural Network (ANN), is needed to improve the accuracy in detecting heart failure. This study aims to optimize the activation function in ANN to predict heart failure accurately. Several optimization algorithms tested, namely Adam, RMSprop, SGD, Adagrad, and Adadelta, were used to evaluate model performance in terms of accuracy, precision, recall, and F1-score. The results showed that the Adam optimization algorithm provided the best performance with an accuracy of 86.74%, precision of 75.12%, recall of 66.67%, and F1-score of 70.64%. Meanwhile, other algorithms such as RMSprop, SGD, Adagrad, and Adadelta showed lower performance, with some metrics reaching 0%. This study shows that proper activation function optimization in ANN is very important to improve the model's ability to predict heart failure with a high level of accuracy.
Metode One Time Pad sebagai Verifikasi Akun E-Wallet dalam Pencegahan Cybercrime Sarifah, Sarifah; Faisal, Ilham; Lubis, Imran
Explorer Vol 5 No 1 (2025): January 2025
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/explorer.v5i1.1817

Abstract

This research aims to improve security when every time a user logs in or makes a transaction, an OTP (One time pad) will be sent via email, the OTP code is generated randomly and can only be accessed by the account party that has a valid and valid OTP key at that time. certain. Using the one time pad algorithm provides a very high level of security, because the resulting OTP is unique for each transaction. However, its implementation requires strict discipline in key management and proper encryption or decryption processes so that it can function optimally. This system is designed for account user security to prevent data leaks, thereby minimizing the potential for crimes such as identity theft and fraud. The research results show that not a single OTP was repeated in the 10 transactions carried out. Each OTP code generated is unique and different from previous OTPs, both on successful and failed transactions, proving the effectiveness of the system. This website was created using Visual Studio Code to ensure a stable and efficient system implementation

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