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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 7 Documents
 1 
Search results for , issue "Vol 4 No 2 (2024): July 2024" : 7 Documents clear
Penerapan Multi-Layer Perceptron untuk Mengklasifikasi Penduduk Kurang Mampu Gulo, Senang Hati; Lubis, Andre Hasudungan
Explorer Vol 4 No 2 (2024): July 2024
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/explorer.v4i2.1146

Abstract

The classification of the less capable population in Afulu Sub-district is currently reliant on a manual system, resulting in prolonged processing times. To address this issue, this research endeavors to develop a practical application for the classification of population data, with the primary objective of expediting the processing of population data in Afulu Sub-district. The study will focus on nine villages within the sub-district, encompassing a total population of 11,722 individuals, with a sample size of 386. The present study utilizes the Multilayer Perceptron, a classical algorithm that continues to be the most widely employed method in numerous researches. The findings of the present study indicate that out of the total sample size, 152 individuals were classified as capable, 86 individuals were classified as moderately capable, and a substantial number of 148 individuals were classified as less capable. The classification results were evaluated using a confusion matrix. The 3-5-1 architecture, comprising of 3 input layers, 5 hidden layers, and 1 output layer, was found to be the most superior. This architecture demonstrated an accuracy value of 96.9%, a recall value of 92%, a precision value of 98.5%, and an F-score value of 94.9%. A detailed elucidation of the parameters employed, the formulas utilized, and several computations performed are explained further.
Analisis Sentimen Ulasan Aplikasi Bank Digital Menggunakan Algoritma Naïve Bayes Adelia Irawan, Febby; Rialdy Atmadja, Aldy; Wahana, Agung
Explorer Vol 4 No 2 (2024): July 2024
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/explorer.v4i2.1181

Abstract

Bidang perbankan merupakan salah satu yang berkembang dan mengikuti tren digitalisasi. Adanya bank digital merupakan inovasi yang dilakukan pada bidang perbankan dalam memberikan pelayanan dengan menggunakan media elektronik atau digital. Teknologi yang dikembangkan memungkinkan pengguna hanya cukup mengakses transaksi dalam suatu aplikasi dengan bermodalkan smartphone yang didistribusikan melalui Google Playstore. Ulasan-ulasan pengguna (review) pada Google Playstore ini tersedia untuk membantu meningkatkan performa dari aplikasi dan menjadi landasan bagi perusahaan dalam mengembangkan aplikasi perbankan. Akan tetapi, terdapat kendala jika banyaknya ulasan dan sulit untuk memilah dan mengolahnya secara manual sehingga diperlukan analisis sentimen ulasan pengguna pada aplikasi-aplikasi bank digital. Pada penelitian ini analisis sentimen dilakukan dengan menggunakan algoritma Naïve Bayes. Adapun pendekatan metode yang dilakukan dengan menggunakan CRISP-DM sebagai standar yang umum dalam melakukan riset data mining. Hasil dalam penelitian ini menunjukkan bahwa penerapan model klasifikasi dengan menggunakan Algoritma Naïve Bayes dengan data ulasan menghasilkan 46% ulasan positif dan 54% ulasan negatif. Selain itu, nilai akurasi tertinggi dari kinerja algoritma Naïve Bayes dengan menggunakan pembagian data training dan testing dengan persentase 70:30 menghasilkan akurasi yang optimal mencapai 89%.
Implementasi Pengelompokan Persediaan Sepeda Motor Menggunakan Metode Clustering K-Means Azhar, Zulfi; Wulandari, Chairani; Hanum, Zulia; Arfansyah Putra, Wan; Puspita Saragih, Yenny
Explorer Vol 4 No 2 (2024): July 2024
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/explorer.v4i2.1255

Abstract

Designing an annual marketing strategy for motorbike inventory in each city where previous data already exists but sometimes has never been reviewed. Decision making in determining the number of Honda brands that consumers are interested in per year needs to be reviewed in each city. CV. Karya Utama Kisaran, a company engaged in marketing motorbikes which is experiencing an increasingly competitive level of business competition. This requires determining motorbike inventory which can increase motorbike sales volume by choosing the right dealer. Motorbike inventory is one of the things that needs to be done in designing marketing strategies in several cities. In this analysis process, it is carried out using data mining with clustering techniques which use non-hierarchical methods in non-hierarchical grouping, one single data in a group, or more small groups that can combine into a large group. The aim of the research is to determine the similarity in characteristics between the data in inventory transaction database, in order to form groups of marketing locations. The final results of the research carried out produced 2 clusters where cluster 1 was City 1, 2, 4, 6, 7, 8,9,10, 11,12 and cluster 2, City 3 and 5 from a total of 12 cities, by showing that cluster 2 has higher motorbike inventory and marketing than cluster 1.
Kompresi Data Menggunakan Metode FELICS (Fast Efficient and Lossless Images Compression System) Terhadap Citra PNG (Portable Network Graphics) Hutapea, Yan Daniel; Wulan, Nur
Explorer Vol 4 No 2 (2024): July 2024
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/explorer.v4i2.1386

Abstract

At present, the rapid advancement of sciens and information technology has made two-dimensional image files highly demanded. In this era, sending files, whether in text or image format, has become a common practice. Sending large image files requires more time and bandwidth. To address this, compression is necessary for image files. The FELICS method is one of the techniques that can be used for image file compression. FELICS present a simpler system for image compression, operates faster, and only inscurs minimal compression efficiency loss. Based on test results for five .png files with sizes of 5.249.494 bytes reduced to 2.041.208 bytes, 3.124.201 bytes reduced to 1.060.781 bytes, 10.473.459 bytes reduced to 3.065.010 bytes, 804.728 bytes reduced to 200.215 bytes, and 503.111 bytes reduced to 158.711 bytes. This results in compression retions ranging from 24.87% to 38.00%.
Combination of CRITIC Weighting Method and Multi-Atributive Ideal-Real Comparative Analysis in Staff Admissions Waqas Arshad, Muhammad; Mesran; Setiawansyah, Setiawansyah; Suryono, Ryan Randy; Rahmanto, Yuri
Explorer Vol 4 No 2 (2024): July 2024
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/explorer.v4i2.1428

Abstract

Staff recruitment is a critical process in human resource management where organizations select and place individuals who fit the needs and goals of the company. This process involves identifying position needs, job postings, screening applicants, interviewing, skills evaluation, and making a final decision to determine the most suitable employee. The integration of CRITIC and MAIRCA allows the staff selection process to be more objective and systematic. CRITIC helps in assessing the importance of each criterion by considering its relevance, thus ensuring that the evaluation is not based on just one dimension. On the other hand, MAIRCA provides a comprehensive framework by comparing each candidate against the desired ideal standards and their actual achievements in relevant attributes. The combination of these two methods not only strengthens accuracy in staff selection, but also ensures that decisions are made in accordance with the organization's strategic goals to achieve optimal performance and effectiveness. The ranking results obtained the results of rank 1 with a value of 0.0824 obtained by Alternative G, rank 2 with a value of 0.0798 obtained by Alternative B, and rank 3 with a value of 0.0778 obtained by Alternative C.
Prototype Robot Pengantar Barang Pengikut Marka Hitam Berbasis Mikrokontroller Herman, Yurico; Hasibuan, Ade Zulkarnain; Sembirimg, Arnes
Explorer Vol 4 No 2 (2024): July 2024
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/explorer.v4i2.1435

Abstract

Robotics has become an ever-growing field with increasingly diverse applications in various industries. One interesting application is the development of delivery robots that can follow specific paths on surfaces using black markings as a guide. This research aims to design and implement a microcontroller-based black mark following goods delivery robot prototype. This robot prototype uses a TCRT5000 sensor to read black markings placed on the bottom of the robot. Using this robot is very easy by providing a battery for the robot's power source. The TCRT5000 sensor is a reading sensor for following the path. The FC-51 IR sensor as an obstacle detection sensor is in front of the robot for temporary stops when the robot is walking. The TTP223B touch sensor calibrates the robot at the start and end of the robot's work, inputting the additional number of stops when the robot is in a temporary state. This robot is easy to use because the operation is easy to understand, making the robot easy for ordinary people to use.
Evaluasi Aplikasi DOI by RJI pada Aspek Usability dan User Experiance Menggunakan Metode System Usability Scale (SUS) dan User Experience Questionnaire (UEQ) Maulana, Asep Erlan
Explorer Vol 4 No 2 (2024): July 2024
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/explorer.v4i2.1478

Abstract

Indonesian Journal Volunteers have an application that makes it easy for journal managers to become members of Crossref and subscribe to Digital Object Identifiers (DOI). One of the services that RJI currently has is the DOI application. The purpose of this study was to test the quality of usability and to evaluate the level of user experience satisfaction from the DOI by RJI application. There are 2 methods used in this research. The first method of the System Usability Scale (SUS) is used to measure usability aspects. While the second method of the User Experience Questionnaire (UEQ) is used to produce evaluation results of user satisfaction levels from the user experience. From 23 respondents there are results of user satisfaction levels with a score of 65 with category D and can be said to be well received by users. Aspects of the level of satisfaction there is a positive level results with the highest mean value on the efficiency scale (Efficiency) which is 1.554 followed by the stimulation scale (Stimulation) with a value of 1.511. Then the value of the attractiveness scale is 1.493, the dependability scale is 1.478, the novelty scale is 1.326 and the Perspicuity scale is 1.272. This shows that the level of user satisfaction in using the DOI by RJI application has a positive user experience. Because all levels of the scale are higher than the standard value of 0.8.

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