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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 5 Documents
 1 
Search results for , issue "Vol 2 No 1 (2022): Januari 2022" : 5 Documents clear
Peta 3D Desa Muncan Dengan Augmented Reality Berbasis Marker Lalu Atasaldi; Saeful Hamdi; Ichwan Purwata
Explorer Vol 2 No 1 (2022): Januari 2022
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (341.41 KB) | DOI: 10.47065/explorer.v2i1.108

Abstract

Augmented reality is a technology that combines 2D or 3D virtual objects into a real environment. Augmented Reality can be used in various fields, one of which is used for the introduction of an area with 3D forms. Muncan Village has an area of ​​± 325,180 ha/m2, regarding the area and boundaries of Muncan Village, the residents of Muncan Village have difficulty finding houses for the hamlet head, schools, mosques or the potential in other hamlets. Likewise with residents outside Muncan Village who will look for a product in Muncan Village. There are also places of economic, tourism and cultural sources in Muncan Village whose location is rarely the residents of Muncan Village themselves know their location. In this case, information media is needed that can provide instructions and display strategic places and the potential that exists in each hamlet in Muncan Village in the form of a 3D Map with Augmented Reality technology with the aim of making it look more real and can be accessed anywhere via a smartphone.
Pengelompokkan Tingkat Pemahaman Guru PAUD Terhadap Pembelajaran Berbasis STEAM Menggunakan Metode X-Means Clustering Siti Fatimah; Suriati Suriati; Ari Usman
Explorer Vol 2 No 1 (2022): Januari 2022
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (353.325 KB) | DOI: 10.47065/explorer.v2i1.139

Abstract

In the era of the industrial revolution 4.0, quantity is not a measure of achieving early childhood outcomes, but how teachers create quality resource based inventions. To form creative and adaptive resources for technology, the teacher must changes the facilities, infrastructure and learning reconstruction. Learning that is prepared to welcome children to face the 21st century is learning based on Science, Technology, Engineering, Art, and Mathematics (STEAM). STEAM is used to consider the interconnected essence of science, technology, engineering, arts and mathematics disciplines and their significance in the long-term academic performance of children. Responding to STEAM-based learning that PAUD teachers need to incorporate in cultivating the creativity of children, it is important to know the degree to which PAUD teachers understand STEAM-based learning. This research discusses the use of the X-Means clustering algorithm as one of the data mining algorithms in grouping data on the level of comprehensions of PAUD teachers on STEAM-based learning. This research discusses the use of the X-Means Clustering algorithm as one of the data mining algorithms in grouping data on the level of comprehensions of PAUD teachers on STEAM-based learning.
Pengembangan Convolutional Neural Network untuk Klasifikasi Ketersediaan Ruang Parkir Sayuti Rahman; Haida Dafitri
Explorer Vol 2 No 1 (2022): Januari 2022
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (357.099 KB) | DOI: 10.47065/explorer.v2i1.148

Abstract

Information on the availability of parking spaces is needed for drivers. Drivers walking around looking for parking spaces have negative impacts, including traffic jams, waste of fuel, increasing pollution and even causing driver panic. Classification of parking spaces properly and quickly becomes a solution to present information on the availability of parking spaces. Based on the technology used, parking space classification usually uses sensors or computer vision. However, computer vision is lower in cost usage because a single camera can classify multiple parking spaces simultaneously. Convolutional Neural Network (CNN) is a popular method in dealing with vision problems. mAlexnet is one of the CNN architectures that has succeeded in classifying parking spaces well, but its accuracy still needs to be improved. A better architecture of mAlexnet needs to be made to improve classification accuracy and speed. In this study, we designed a CNN architecture named ParkingNet. Based on testing using sub-dataset camera B from the CNRPark dataset, ParkingNet is better than mAlexnet, both in terms of accuracy, the number of parameters, and FLOPs. ParkingNet managed to outperform mAlexnet's accuracy by 0.68%. Although not significant, ParkingNet is faster in classification due to the smaller number of parameters and FLOPs. The number of ParkingNet parameters is 4/5 mAlexnet parameters and the number of ParkingNet FLOPs is 2/5 mAlexnet. ParkingNet can be implemented in a smart parking system to classify parking spaces with lower computational costs.
Sistem Pendukung Keputusan Penerimaan Bantuan Sosial UMKM Menggunakan Metode TOPSIS Dewi Yurika; Widia Ningsih; Soeb Aripin
Explorer Vol 2 No 1 (2022): Januari 2022
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (356.601 KB) | DOI: 10.47065/explorer.v2i1.155

Abstract

Usaha mikro kecil menengah (UMKM) adalah usaha produktif milik perorangan atau badan usaha perorangan yang memenuhi kriteria usaha mikro kecil sebagaimana diatur dalam Undang-Undang. Pemberian bantuan modal usaha ini dilakukan oleh lembaga keungan bank untuk para pengusaha mikro kecil menengah, jadi pelaku usaha kecil memanfaatkan kesempatan ini untuk tempat mendapatkan modal. Karena adanya usaha bantuan seperti ini maka banyak pelaku usaha yang terbantu, terutama dikondisi pandemi covid-19 seperti ini. Semakin banyaknya para pelaku usaha yang ingin mengajukan pinjaman terhadap pihak bank, hal ini akan menyulitkan pihak bank untuk menyaring dan menentukan pelaku usaha mana yang memenuhi persyaratan dari mereka dan layak untuk diberikan bantuan modal usaha. Oleh sebab itu dibutuhkan Sistem Pendukung Keputusan (SPK) dengan metode Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) yang akan memberikan alternatif yang terbaik dan sesuai kriteria yang ada. Penerapan TOPSIS akan memudahkan pihak Bank Negara Indonesia dalam menyeleksi dan memutuskan memberikan pemberian bantuan dana pada pihak yang tepat. Metode TOPSIS merupakan metode yang menggunakan prinsip bahwa alternatif yang terpilih harus mempunyai jarak terdekat dari solusi ideal positif dan terjauh dari solusi ideal negatif. Hasil yang didapat dari penelitian ini diperoleh hasil dengan 8 pihak usaha yang berhak mendapat bantuan dan 12 orang yang tidak berhak mendapatkan bantuan.
Implementasi Metode Taboo Code Untuk Kompresi File Video Saiful Simanjuntak
Explorer Vol 2 No 1 (2022): Januari 2022
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (400.726 KB) | DOI: 10.47065/explorer.v2i1.156

Abstract

Video adalah teknologi untuk menangkap, merekam, memproses, dan menataulang gambar bergerak yang biasanya menggunakan sinyal elektronik, atau media digital. Misalnya, file video yang ukurannya besar mengakibatkan proses pengiriman semakin lama, serta menggunakan ruang memori yang besar dalam penyimpanannya. Permasalahan yang lahir karena besarnya ukuran file antara lain adalah borosnya media penyimpanan yang digunakan, serta memakan waktu lebih banyak dalam hal pertukaran data, transfer data melalui jaringan internet menjadi masalah besar di Indonesia karena kecepatan download dan upload yang sangat rendah. Untuk mengatasi masalah tersebut maka diperlukan teknik kompresi data. Konsep kompresi lahir sebagai solusi nyata dari permasalahan mengenai besarnya ruang yang dibutuhkan untuk menyimpan berbagaimacam file digital, tidak terkecuali dengan file video. Teknik kompresi merupakan teknik yang memadatkan isi file sehingga ukurannya menjadi lebih kecil dengan tetap menjaga kualita represntasi dari filet ersebut.

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