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Tri A. Sundara
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The Indonesian Journal of Computer Science
Published by STMIK Indonesia Padang
ISSN : 25497286     EISSN : 25497286     DOI : https://doi.org/10.33022
Core Subject : Science, Engineering,
Computer Science & IT Electrical & Electronics Engineering Engineering
The Indonesian Journal of Computer Science (IJCS) is a bimonthly peer-reviewed journal published by AI Society and STMIK Indonesia. IJCS editions will be published at the end of February, April, June, August, October and December. The scope of IJCS includes general computer science, information system, information technology, artificial intelligence, big data, industrial revolution 4.0, and general engineering. The articles will be published in English and Bahasa Indonesia.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 1,127 Documents
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Comparative Analysis of High Speed and Area Efficient Full-Adder using CMOS and MGDI Techniques Pwint, Hnin Ngwe Yee; Hla, Tin Tin
The Indonesian Journal of Computer Science Vol. 13 No. 3 (2024): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i3.4003

Abstract

Extremely quick processing is crucial for very large-scale integrated (VLSI) circuits in the arithmetic logic unit. Complementary metal oxide semiconductor (CMOS) and modified gate diffusion input (MGDI) are beneficial technologies for designing high-speed circuits with better reliability and performance with regard to area and power consumption. This research work provides a comparative performance analysis of a full adder that is implemented with CMOS and MGDI technology. This work aims to develop a CMOS-based full-adder and a MGDI-based full-adder circuit for area-efficient and high-speed applications. First, the analysis and implementation of the XOR and NAND logic gates are designed using CMOS technology and the MGDI technique to create a full-adder design. The comparative analysis of integrated circuits in CMOS and MGDI technologies is primarily determined by the number of transistors and delay time. The full-adder is designed and analyzed using 90 nm technology, with performance characteristics evaluated using Cadence Virtuoso Tools.
Comparative Analysis of CMOS-based D-type Flip-Flop Architectures for High-Performance VLSI Applications Using 45-nm CMOS Technology May Htet Aung; Tin Tin Hla
The Indonesian Journal of Computer Science Vol. 13 No. 3 (2024): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i3.4004

Abstract

High performance VLSI (very large-scale integration) is an essential electronic technology required for space missions and scientific advancements. The only source of reliance for the VLSI designer is the data storage devices designated as flip-flops, which are widely used in semiconductor memory devices as well as for data processing and storage in the telecommunication fields. In this paper, the four D-type flip-flop architectures of CMOS-based D-type flip-flops, such as D-type flip-flops using traditional technology (DFF-T), D-type flip-flops with Demorgan’s law (DFF-DL), D-type flip-flops with transmission gates (DFF-TG), and D-type flip-flops with five transistors (DFF-F), have been designed and constructed. The analytical simulations of the schematics and equivalent layouts of these four architectures are implemented using 45-nm complementary metal-oxide-semiconductor (CMOS) technology. With cadence virtuoso design software, the performance investigation of the four D-type flip-flop architectures is compared in terms of layout area, transistor counts, average power consumption, rise time, fall time, and propagation delay. The DFF-F technologies have modestly compact design goals in order to reduce production costs and achieve faster processing speeds with fewer transistors.
Analisis Tantangan Penerapan Extended Enterprise Pada Digitalisasi Penyaluran Pembiayaan UMKM: Studi Kasus Rianinda, Syamei
The Indonesian Journal of Computer Science Vol. 13 No. 3 (2024): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i3.4007

Abstract

Program pembiayaan Ultra Mikro (UMi) sebagai salah satu kredit program pemerintah untuk membantu akses layanan pembiayaan UMKM, menghadirkan inovasi penyaluran secara digital kepada pelaku UMKM di indonesia. Untuk mewujudkan inovasi tersebut, pemerintah melakukan kerjasama dengan penyedia jasa uang elektronik dalam meningkatkan kapabilitas PIP dalam menyalurkan pembiayaan UMi secara digital. Akan tetapi penyaluran digital tersebut masih menghadapi hambatan dalam penyaluran pembiayaan. Penelitian ini dilakukan untuk menganalisis tantangan pada penyaluran program pembiayaan UMi melalui uang elektronik. Pengambilan data dilakukan melalui wawancara serta analisis dokumen. Beberapa tantangan yang dihadapi adalah integrasi sistem, limit saldo dan ekosistem uang elektronik. Tantangan-tantangan tersebut kemudian dipetakan dengan tiga faktor yang mempengaruhi efektifitas kolaborasi pada extended enterprise. Penelitian ini juga memberikan rekomendasi menggunakan model ABC untuk menjawab tantangan-tantangan tersebut. Rekomendasi yang diberikan meliputi pembuatan unit khusus, penyusunan kebijakan organisasi hingga peningkatan fitur dan modul pada sistem.
Comparative Study Of Android-Based Learning Media With Web-Based Learning Media Monica Fransisca; Renny Permata Saputri
The Indonesian Journal of Computer Science Vol. 13 No. 4 (2024): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i4.4008

Abstract

Many choices of learning media were available, so it’s necessary to research which learning media are appropriate and suit the needs. Learning media are now technology-based, for example android-based and web-based learning media. The use of these two media was similar and widely used, so it’s necessary to examine the comparison of effectiveness. To conduct this research, a comparative analysis method with a literature study approach was used. Through the analysis, a comparison was carried out by comparing several research relevant with the themes. The research focuses on the level of effectiveness. The comparison of this research that comes from the research team itself, and several other studies. Based on comparison, the results showed that android-based learning media had a higher effectiveness percentage, 87.67%, while web-based learning media had average 80.39%. The conclusion of the research was that android-based learning media has a higher effectiveness compared to web-based learning media.
Image Captioning untuk Gambar Rambu Lalu Lintas Indonesia Menggunakan Pretrained CNN dan Transformer Novia Pramesti Aprilia; Rochadiani, Theresia Herlina
The Indonesian Journal of Computer Science Vol. 13 No. 3 (2024): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i3.4012

Abstract

This research aims to address the lack of understanding of traffic signs in Indonesia through the development of an image captioning model using Inception V3 and Transformer. With this approach, a dataset of traffic sign images consisting of 9,594 images with 31 classes was collected and modified. Model evaluation was conducted using BLEU, ROUGE-L, METEOR, and CIDEr metrics. The research results show good performance with BLEU-1 score of 0.89, BLEU-2 = 0.82, BLEU-3 = 0.75, BLEU-4 = 0.68, CIDEr = 0.57, ROUGE-L = 0.25, and METEOR = 0.26. From these results, it can be indicated that this model can enhance understanding of Indonesian traffic signs. This approach can assist road users in better understanding traffic signs and has the potential to be applied in practical applications to improve traffic safety
Broadband Quad-Element MIMO Antenna with Enhanced Isolation for Sub-6 GHz and Sub-7 GHz 5G Applications Aung, Mya Sandar; Hla, Tin Tin
The Indonesian Journal of Computer Science Vol. 13 No. 3 (2024): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i3.4013

Abstract

In this manuscript, a broadband quad-element MIMO antenna with enhanced isolation for n77, n78, and n79 bands of Sub-6 GHz and the n46 and n96 bands of Sub-7 GHz under 5G applications is designed. The designed antenna element is a rectangular monopole antenna comprising a semi-circular cut and a semi-circle embedded to obtain a wide bandwidth. These four-element antennas are aligned orthogonally to achieve the compact size and high isolation features of MIMO performance. The overall area of MIMO antenna is 40×40x1.6 mm3. MIMO antenna has a high isolation of <- 21 dB, an envelope correlation coefficient (ECC<0.002), a high diversity gain (DG> 9.99), an MEG gain of -3 dB, and a peak gain of 5.08 dBi.The results of the experiment are satisfactory with the S-parameter simulation results According to the results, a broadband quad-element MIMO antenna is a suitable candidate for Sub-6 GHz and Sub-7 GHz 5G applications.
Analisis Sentimen Layanan Hotel Menggunakan Algoritma Extra Trees: Studi Kasus pada Ulasan Pelanggan Aprilita, Windi; Junadhi; Agustin; Hadi Asnal
The Indonesian Journal of Computer Science Vol. 13 No. 3 (2024): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i3.4014

Abstract

This research aims to analyze the sentiment of hotel services based on customer reviews using the Extra Trees algorithm. This method was tested on a dataset containing customer reviews about hotel services. The evaluation is done by taking into account the accuracy, precision, recall, and F1 score of the developed model. The results showed that the Extra Trees algorithm was able to achieve an accuracy of 85.05%, with a precision of 84.46%, a recall of 97.00%, and an F1 score of 90.17%. These findings indicate that the Extra Trees algorithm has good performance in analyzing hotel service sentiment based on customer reviews. The implication of this research is to provide guidance to hotels to understand and improve their service quality based on feedback from customers. In addition, this research can also be the basis for further development in the field of sentiment analysis and customer service in the tourism industry.
A Comprehensive Examination of Risk Management Practices Throughout the Software Development Life Cycle (SDLC): A Systematic Literature Review Adriani, Zahrina Aulia; Teguh Raharjo; Ni Wayan Trisnawaty
The Indonesian Journal of Computer Science Vol. 13 No. 3 (2024): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i3.4016

Abstract

Risk management in the software development lifecycle (SDLC) is a continuous process that addresses risks throughout a system's lifecycle, including acquisition, development, maintenance, or operation. Despite its importance, ineffective risk management practices can lead to project failures, impacting organizations financially and reputationally. Therefore, there is a need for a systematic understanding of risk management practices in SDLC. This study conducts a Systematic Literature Review (SLR) related to risk management activities performed by previous research during the SDLC. The SLR method combines Kitchenham with the toll-gate method to select literature for use. This SLR aims to investigate activities in traditional waterfall and agile development processes, which will be mapped into risk management activities in SDLC according to ISO 16085:202. Additionally, the review highlights the challenges encountered in implementing risk management in the SDLC process, including project complexity, adherence to policies and standards, lack of communication, lack of resources, and organizational culture.
Performance Evaluation of Python Libraries for Community Detection on Large Social Network Graphs Af'Ally, Alif Dio; Fitriyani
The Indonesian Journal of Computer Science Vol. 13 No. 3 (2024): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i3.4019

Abstract

The development of social networking platforms has transformed the way people interact. The increasing number of social media users generates vast amounts of data and creates communities among users that are interesting to analyze. Community detection holds significant benefits in understanding network structures and providing insights into these communities. Community detection can be performed using various libraries and algorithms. However, the abundance of options can be challenging in selecting the appropriate library and algorithm. Therefore, this research evaluates the performance of community detection algorithms on social network graph datasets using several Python libraries such as NetworkX, igraph, Scikit-Network, and CDlib, as well as Louvain and Label Propagation algorithms. The findings of this study reveal that igraph is an ideal library, with fast execution time, efficient memory usage, and user-friendliness. Additionally, the Louvain algorithm is ideal for community detection and exhibits high modularity values.
Knowledge Extraction dari Ulasan Aplikasi Gojek Menggunakan Analisis Sentimen Berbasis Aspek Anggun Ramadina; Ken Ditha Tania
The Indonesian Journal of Computer Science Vol. 13 No. 3 (2024): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i3.4020

Abstract

Social media is transforming business, costumer relations, and behavior. The involvement of customers and impacts from social media affect product or service performance. This is because the consumer’s reviews are another important factor that builds brand image by showing product advantages and disadvantages. In order to enhance the business environment, the company may utilize this knowledge base to evaluate and enhance its business activities. The knowledge base approach might help the company or organization examine and extract information by using knowledge extraction. In this research, knowledge Extraction utilize Aspect-based Sentiment Analysis as the method for a better understanding and improving in analyze Gojek application reviews with Machine Learning approach by using Support Vector Machine (SVM).

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