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INDONESIA
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 97 Documents
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Augmented Reality Berbasis Android untuk Pengenalan Alat Pernapasan Menggunakan Metode Marker Based Tracking Pangestu, M. Ridho; Suriati, Suriati
Explorer Vol 6 No 1 (2026): January 2026
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/explorer.v6i1.2229

Abstract

This study aims to design and implement an Augmented Reality (AR)-based learning application on the Android platform to introduce respiratory organs of living beings, namely lungs, gills, and tracheae, as an effort to improve students’ interest and understanding of biology subjects. The application was developed using the Marker Based Tracking method, chosen for its ability to accurately place virtual objects on predefined markers, resulting in more realistic and interactive 3D visualizations. Development was carried out using Unity 3D and Vuforia SDK as the core AR technology, Blender for creating 3D models, and Canva for designing the interface and markers, with the C# programming language used to manage interaction logic. The application allows users to scan markers to display 3D objects along with descriptive information, providing a more engaging learning experience compared to conventional media. Testing involving 100 students aged 10–14 years showed positive responses, with 93% stating the application is easy to understand, 83% rating the objects as clear, 94% feeling assisted in understanding the material, and 100% reporting greater enthusiasm and ease of learning compared to using books or teachers alone. These results demonstrate that AR can enhance engagement and effectiveness in learning biology. In conclusion, implementing AR in learning media offers an innovative approach that combines interactive visualization with modern technology and has the potential to be further developed by adding more object variations, organ function animations, and multi-platform support.
Klasifikasi Penyebaran Jaringan Wifi Provider Internet Menggunakan Algoritma XGBoost Berdasarkan Titik Koneksi Kabel Fiber Optik Manihuruk, Repaldo; Diansyah, Tengku Mohd
Explorer Vol 6 No 1 (2026): January 2026
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/explorer.v6i1.2544

Abstract

The rapid development of fiber-optic–based internet technology has led to an increasing demand for stable and evenly distributed WiFi networks. Although internet service providers such as XYZ have established extensive fiber-optic infrastructure, challenges in WiFi access point distribution remain common, particularly regarding uneven network coverage and limited data-driven analysis. These issues raise the question of how to determine optimal WiFi deployment locations to ensure consistent service quality. Therefore, this study aims to analyze the spatial distribution patterns of XYZ’s WiFi network based on fiber-optic connection points, apply the Extreme Gradient Boosting (XGBoost) algorithm to classify the feasibility of WiFi distribution, and evaluate the performance of the proposed model in improving network distribution efficiency. This research employs XGBoost as a classification method to predict suitable and unsuitable WiFi deployment locations using customer data connected via fiber-optic cables. The study focuses on data preprocessing, model construction using XGBoost, performance evaluation in classifying feasible and non-feasible locations, and data balancing techniques to address class imbalance. The dataset consists of 193 XYZ customer records, divided into 80% training data and 20% testing data. The results demonstrate that the XGBoost algorithm achieves high classification accuracy in WiFi network distribution. Consequently, the proposed model can serve as a data-driven recommendation tool for optimizing WiFi deployment, enabling service providers to deliver more evenly distributed, stable, and efficient internet services
Decision Support System for WP and MOORA Methods in Determining Performance Assessment of Outstanding Education Personnel Mesran, Mesran; Jaafar, Mime Azrina; Rosnizam, Rosnizam
Explorer Vol 6 No 1 (2026): January 2026
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/explorer.v6i1.2587

Abstract

Employee work performance on this date the education staff (Tendik) as a determinant of the success of the performance of the Public Service Agency (BLU). Students who have a good leadership spirit, which are listed as outstanding and superior tendik competencies, are expected to be able to spur other students to achieve as well. The assessment of the achievers is based on the provisions of Permendikbud No. 30 of 2018. Form F5 in the attachment of the Minister of Education and Culture Number. 30 of 2018 becomes an assessment variable in the educational activity support system. Work Achievement of Education Personnel is a major factor in the success of higher education performance. Good work results will have a good impact on universities. Educational staff who excel are also competent in higher education also support both the education staff and universities. Rewards or awards given to Education Personnel can be done by assessing the performance results of each Education Personnel. Rewards are given to Education Personnel as a form of appreciation for the performance carried out at universities. rewards to Education Personnel must be based on appropriate and accurate assessments. The problems found do not have to be used to evaluate the Education Personnel in presenting prizes. The performance assessment carried out must be objective, of course, with an objective assessment the results obtained on the educational performance assessment are not a problem for the education staff. Decision Support System is a computer-based information system that is used to assist in decision making by utilizing certain data and models to support a solution in solving a semi-structured and non-structured problem. The MOORA (Multi Objective Optimization On The Basis Of Ratio Analysis) and WP (Weighted Product) methods are methods in the Decision Support System that provide relatively precise results to the determined assessment. Research with the MOORA and WP procedures used produces and provides an assessment so that it can provide decision support to award outstanding Education Personnel
Peningkatan Pengarahan Beam dan Estimasi Sudut Kedatangan Berbasis CNN untuk Sistem Antena MIMO Cerdas Karim, Abdul; Purnama, Iwan; Ernawati, Andi
Explorer Vol 6 No 1 (2026): January 2026
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/explorer.v6i1.2592

Abstract

This study proposes a Convolutional Neural Network (CNN)–based approach to enhance the intelligence of MIMO antenna systems in Internet of Things (IoT) environments, particularly for modeling the relationship between wireless channel characteristics and achievable communication capacity. Modern MIMO systems face complex challenges due to dynamic channel conditions such as noise, path loss, and multipath fading, which significantly affect data transmission quality. In this research, channel-related features are processed through a structured preprocessing stage before being fed into a CNN model to learn nonlinear relationships among channel parameters. The developed model is designed to predict achievable channel capacity accurately as part of an adaptive and intelligent wireless communication framework. Experimental results show that the proposed CNN model achieves a Test Loss of 0.0317 and a Mean Absolute Error (MAE) of 0.1267 on unseen test data. Visualization of actual versus predicted values indicates that the model demonstrates good generalization across most data ranges, although some deviations remain at extremely high capacity values. Compared to conventional approaches, the CNN-based method shows superior capability in capturing complex correlations among MIMO channel parameters. Therefore, this approach contributes to the development of adaptive and efficient intelligent antenna systems, supporting the growing demands of next-generation IoT communication networks.
Analisis Komparatif CNN Ringan untuk Klasifikasi Penyakit Daun Tomat Menggunakan Visualisasi Grad-CAM Rahman, Sayuti; Hartono, Hartono; Sembiring, Arnes; Khahfi Zuhanda, muhammad; Aditya Pratama, Bayu; Martini, Dewi
Explorer Vol 6 No 1 (2026): January 2026
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/explorer.v6i1.2601

Abstract

Tomato leaf disease classification based on digital imagery has become an important approach in supporting smart agriculture, particularly for early detection of plant disease attacks. This study aims to compare the performance of several lightweight Convolutional Neural Network (CNN) architectures, namely MobileNetV3-Small, MobileNetV2, and EfficientNet-B0, in classifying tomato leaf diseases using the PlantVillage dataset. The dataset consists of 3,628 images distributed across 10 classes (9 disease classes and 1 healthy class), with a data split scheme of 80% for training and 20% for validation. Performance evaluation was conducted using classification reports, confusion matrices, and interpretability analysis through Grad-CAM and feature map visualization. The experimental results show that all models achieved very high accuracy, exceeding 99%. EfficientNet-B0 obtained the best performance with a validation accuracy of 99.59%, followed by MobileNetV2 at 99.45% and MobileNetV3-Small at 99.04%. However, model complexity increased along with accuracy, where EfficientNet-B0 had the largest number of parameters and FLOPs. Grad-CAM analysis revealed that higher-accuracy models demonstrated more precise activation focus on leaf lesion regions. This study confirms that lightweight CNN architectures are capable of delivering excellent classification performance while offering strong potential for deployment in plant disease detection systems on resource-limited devices
Sistem Pendukung Keputusan Seleksi Wasit/Juri Olahraga Beladiri Pencak Silat Menggunakan Metode Profile Matching Eka Syahputra
Explorer Vol 1 No 1 (2021): Januari 2021
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/explorer.v1i1.35

Abstract

The process of selecting a qualified referee / jury is not an easy matter, it requires selection in the selection of referees / judges who are able to give satisfaction to all elements of the competition and there is no one-sided element. Selection is the stage to decide whether a participant is appropriate or not to be a referee / jury on IPSI. The decision taken is expected to be more objective so that the quality obtained is in line with expectations so that no party is harmed. The problem encountered in the previous selection was the absence of a clear assessment mechanism in the process of appraising prospective Referees / Judges. The previous selection of referees / judges only determines the aspects assessed in the selection, but does not have a clear assessment mechanism. This causes subjective decisions and results. Because the problem is often the selection results are not as expected. In addition, the previous selection has manual data processing. This if applied in the future will greatly reduce efficiency if the number of prospective Referees / Judges becomes numerous. To overcome the above problems, in this study proposed a Decision Support System using the Profile Matching Method that can choose Referees / Judges in accordance with the predetermined assessment, so that decision making can be done objectively. In addition, the system is also able to process registrant data quickly so that it can improve the efficiency of the selection process. The author chooses to use DSS Profile Matching method or commonly known as GAP Competence Analysis because this method is very suitable for use in human resource management where first determined the competencies (abilities) needed by a position. Competence of these abilities must be fulfilled by candidates who will be assessed for performance.
Penerapan Metode Double Moving Average Untuk Memprediksi Penjualan Tiket Kereta Api Demonius Sarumaha
Explorer Vol 1 No 1 (2021): Januari 2021
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/explorer.v1i1.36

Abstract

Prediction (Forecasting) is carried out by almost everyone, be it the government, businessmen, or ordinary people. The predicted problems vary, such as the forecast of rainfall, the possible winner of the presidential election, the score of the match, the number of sales or the inflation rate. The Double Moving Avarage method is a method that can be used to solve anything related to the forecast series and situation. It should be understood that Double Moving Avarage is very good at forecasting. The Double Moving Avarage method only uses one variable as a basis for making predictions so that in this model there is no term independent variable used to predict the value of the dependent variable. This model uses past and present values ​​as the basis for prediction. Therefore, it is very appropriate to use in predicting. Increased number of ticket sales at PT. Kereta Api Indonesia (Persero) Medan has always been a discussion that has never been overlooked by company leaders, therefore prediction or forecasting is very useful to see pictures of the future so that the leadership can anticipate it with future events. For example, a company can estimate the number of passengers during the Eid al-Fitr season in 2019.
Perancangan Sistem Pakar dalam Mendiagnosa Penyakit Skizofrenia dengan Metode Dempster-Shafer Agus Silpiah; Diki Arisandi; Wita Yulianti
Explorer Vol 1 No 1 (2021): Januari 2021
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/explorer.v1i1.37

Abstract

Skizofrenia merupakan salah satu jenis penyakit gangguan jiwa. Skizofrenia diklasifikasi menjadi empat subtipe yaitu paranoid, hebefrenik, katatonik dan residal. Akan tetapi dalam hal mendiagnosa, terkadang dokter atau psikiater memiliki keterbatasan waktu atau jam kerja, sehingga tidak selalu berada di rumah sakit. Untuk membantu pekerjaan mereka, peneliti merancang sebuah sistem yang dapat mendiagnosa gejala Skizofrenia berdasarkan daftar pertanyaan yang diajukan. Sistem ini melakukan proses diagnosa dengan cara mengklasifikasikan gangguan berdasarkan gejala pasien, dan hasilnya berupa keputusan jenis skizofrena pasien tersebut. Hasil dari penelitian ini diharapkan dapat membantu pekerjaan dokter ataupun petugas medis dalam mendiagnosa dan mendapatkan informasi dalam mengidentifikasi penyakit skizofrenia.
Implementasi Virtual Reality Pada Museum De Javasche Berbasis Android Moch Bagus Setiawan; Mochammad Suryawinata
Explorer Vol 1 No 1 (2021): Januari 2021
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/explorer.v1i1.38

Abstract

The museum is a place to see and study the history of how the history of civilization of a nation. The De Javasche Bank Museum was once the De Javasche Bank office until it was changed to the Bank Indonesia branch office in Surabaya. The progress of technology that is increasingly developing, coupled with the declining interest of the community especially students of the museum, making the museum to add technology in it with the aim of increasing public appeal. This is done to support the government's campaign so that the meme is a tourist and educational destination, so we need an interesting media introduction. This is because not everyone is familiar with the De Javasche Bank Museum. Virtual Reality (VR) is an example of technology where users can interact with a computer simulated environment. By applying VR to 3D applications on Android phones, people can become more familiar with De Javasche Bank Museum because the application works that displays 3D objects simulated in the form of virtual tours where users will tour the De Javasche Bank Museum. This can be a media for introducing the De Javasche Bank Museum which is more attractive to the public because of the 20 respondents, 17 respondents rated the application as interesting and informative.
Implementasi Virtual Reality Desain Arsitektur Perumahan 3D Sebagai Media Promosi Bisnis Investasi Properti Berbasis Android Faisyal Rochimul Amri; Cindy Taurusta
Explorer Vol 1 No 1 (2021): Januari 2021
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/explorer.v1i1.39

Abstract

The consumer is the target of all companies to offer the goods and services they have. Various kinds of promotions are carried out in order to attract the interest of consumers so the company can get maximum sales figures. Until now there are still many companies that do not maximize technology for media promotion, especially in the media promotion of residential architecture design. The research entitled "Implementation of Virtual Reality in 3D Housing Architecture Design as a Media for Promoting Android-Based Property Investment Business" was conducted to provide a solution on how to utilize Virtual Reality 3D residential architecture design as a marketing medium for property business entrepreneurs. Researchers hope that the results of this study can provide solutions on how to use Virtual Reality technology to become one of the promotional media, especially the promotion of residential architecture design

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