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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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The Role of Artificial Intelligence for Value Creation in Digital Commerce Abduljabbar, Sardar; Shaban, Rabeen S.
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.v13i4.4338

Abstract

In the world of digital commerce, Artificial intelligence (AI) is starting to shift the game and transform how organizations run. AI benefits firms and consumers both in retail and digital commerce. This review provides a comprehensive analysis of the critical role AI plays in fostering value creation in the digital commerce industry, with a particular emphasis on the ways in which task and information complexity affect the application of AI technologies. The review then looks at AI possibilities in digital commerce from a variety of angles, such as supply chain efficiency, cost savings, product recommendation, enhanced customer experience and marketing plans. The aim of this review is to exploring how AI applications create value in e-commerce. The approach that was employed described the search technique for locating pertinent academic sources and was based on a survey of the literature on recent 15 studies about the effect of AI for Value Creation in Digital Commerce. Finally, the findings demonstrate that utilizing AI as an advanced instrument in the digital commerce sector appears to be a positive move since it applying AI may foster creativity, improve decision-making, and enhance overall marketing performance.
Analisis Perbandingan Routing Loops antara OSPF dan EIGRP Menggunakan Spanning Tree Protocol Wijayanto, Febri; Santoso, Banu
The Indonesian Journal of Computer Science Vol. 13 No. 5 (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.v13i5.4342

Abstract

This study analyzes the quality of service (QoS) in routing loops between Open Shortest Path First (OSPF) and Enhanced Interior Gateway Routing Protocol (EIGRP) using Spanning Tree Protocol (STP) to prevent loops in network topology. OSPF uses a link-state algorithm, while EIGRP combines link-state and distance vector algorithms. Routing loops can cause network congestion and communication disruptions. Four routing scenarios on IPv6 were tested. Results show that EIGRP without STP yields a throughput of 93.973 Bytes with a delay of 0.147ms, while OSPF without STP yields 94.056 Bytes with a delay of 0.180ms. EIGRP with STP produces a throughput of 93.922 Bytes with a delay of 0.150ms, and OSPF with STP produces 94.056 Bytes. STP implementation improves OSPF delay but does not significantly affect throughput. No packet loss occurred in all scenarios. OSPF without STP had the lowest jitter at 0.011ms, and EIGRP with STP had the highest at 0.0124ms. This study shows that the choice of routing protocol and STP implementation affects IPv6 network performance, depending on throughput or delay priorities.
Implementasi Sistem Kontrol dan Monitoring Lampu Jarak Jauh Menggunakan Blynk API dan Micropython Firman Abdillah; Muhammad Koprawi
The Indonesian Journal of Computer Science Vol. 13 No. 5 (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.v13i5.4343

Abstract

The issue with the remote access involved in the process of controlling and monitoring of electric lightings becomes an intriguing of a area to be further explored. IoT based remote control and monitoring system can be one of the solutions for this issue through the applications of ESP8266 as the main controller, PZEM-004T sensor to monitor the lighting's electricity, and a relay as the electrical switch for the lighting's contol. This system runs using Microphthon combined with Blynk. Also added into the system a web interface which utilizes Blynk API, thus enabling it to be accessed from all devices anywhere. The result showed that the system runs well. This study also showed that IoT technology can be applied in managing household appliances such as lightings.
Fabrication and Performance Evaluation of Rice Polishing Machine Win, Thida; Win, Htay Htay; Latt, Aung Ko
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.v13i4.4347

Abstract

This paper focuses on the fabrication and performance evaluation of rice polishing machine. The motor power of the machine is 1.5 hp and rotational speed is 1440 rpm. This motor uses v-belt transmission system to drive the main shaft and blower shaft. The number of two belts are used in this transmission system. The diameter of the main shaft is 22mm. ASME code equation is used to design the main shaft for rice polishing machine. Square key is used and shear and torsional strength of the key are 58.5404MPa. Single-row deep groove ball bearing is selected for left and right bearing of main shaft. The average milling efficiency, broken efficiency and milling capacity and moisture contents for existing and modified blade were compared. The average milling capacity is 35.23 kg/h, 38.41 kg/h and 41.76 kg/h with modified blade and 30.35 kg/h, 32.20 kg/h and 34.03 kg/h with existing blade at the moisture condition of 13%, 12% and 11%, respectively. As comparison results, the modified blade of the machine has more efficient and convenience than the existing blade of the machine.
Peningkatan Fungsi Manajemen Kerja Praktik dan Pengabdian Masyarakat Melalui Pemeliharaan Aplikasi Web Ahmad Faris Hisyam Maulana; Tien Fabrianti Kusumasari; Ekky Novriza Alam
The Indonesian Journal of Computer Science Vol. 13 No. 5 (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.v13i5.4351

Abstract

Universities play a crucial role in developing high-quality human resources through Internship and Community Service Programs, which prepare students with professional skills and relevant competencies. However, implementing these programs often faces issues such as inefficiencies in registration, documentation, and progress reporting. To address these challenges, a university department developed and implemented a comprehensive web-based application system. This research aims to improve and refine the application through software maintenance processes, employing an iterative incremental method with phases including planning, requirements, analysis and design, implementation, testing, and evaluation, conducted repeatedly according to the prioritized order of feature improvements. After being maintained, the application is tested through functional testing using black box techniques and automation tools. Results indicate that the maintenance process successfully ensured the application functions according to established scenarios and requirements, thereby enhancing support for administrative processes of internships and community service programs and overcomes previous management challenges.
Analysis on Heterostructure Band Diagram Designs and Electrical Characteristics of Light Emitting Diode (LED) Lin, Khin Ohmar; Aye, Maung; Hla, Tin Tin
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.v13i4.4353

Abstract

This paper presents the analysis on hetero-structure band diagram designs and electrical characteristics of light emitting diode (LED). This work is based on physical parameters of ZnCdSe, a ternary alloy semiconductor composed of Zinc (Zn), Cadmium (Cd), and Selenium (Se). In this work, the band diagram design results for n-ZnCdSe/p-Si heterojunction leds are approved by the parameters of the material such as such as effective masses of the materials, doing concentrations, electron and hole hall mobilities, bandgap bowing and so on. The electrical characteristics (energy dispersion with wave vector, intrinsic carrier concentration with temperature, intensity with wavelengths) of LED based on ZnCdSe material are also analyzed in this paper. This simulation curves are done by computer simulation. The band layer design for n-ZnCdSe/p-Si LED confirmed the high quality LED for real applications. This research gives information for the researchers who study in electronic and optoelectronic semiconductor devices.
Prediksi Curah Hujan di DKI Jakarta Menggunakan Model Hybrid (DWT-SVR-Prophet) Ramadita, Mutiara; Mahmudi; Wijaya, Madona Yunita
The Indonesian Journal of Computer Science Vol. 13 No. 5 (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.v13i5.4357

Abstract

Rainfall has a significant influence in the planning and management of various industries such as forestry, agriculture, and water resources. This research aims to develop a Hybrid model that combines Discrete Wavelet Transform (DWT), Support Vector Regression (SVR) and Prophet models to predict rainfall in the DKI Jakarta area more accurately. Using DWT, rainfall data is divided into high and low frequency components, then the prediction results from each model are combined. At Kemayoran Station, the Hybrid model (High Frequency SVR and Low Frequency Prophet) provides the best performance with SMAPE: 36.44%. At Tanjung Priok Station, the non-Hybrid model gave the best results, with Prophet without DWT achieving SMAPE: 29,82%. This study provides a clear understanding of how effective rainfall prediction models are in DKI Jakarta, which helps water resources planning and management.
Perancangan Arsitektur Sistem Informasi Purchase Order Online Sayuran Korea Menggunakan Framework Zachman Dinata, Fajar Sukarsa; Sudin Saepudin; Mupaat
The Indonesian Journal of Computer Science Vol. 13 No. 5 (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.v13i5.4359

Abstract

Penelitian ini bertujuan untuk merancang sebuah Sistem Informasi yang sesuai untuk Ferdy's Farm, yang bergerak dalam penjualan sayuran Korea. Masalah utama yang dihadapi saat ini adalah pengolahan data pesanan sayuran yang masih dilakukan secara konvensional dan belum tersistemasi, mengakibatkan ketidakmaksimalan dalam manajemen stok dan pemesanan. Metode yang digunakan dalam penelitian ini menggunakan Model Framework Zachman, yang memberikan panduan yang terstruktur untuk memahami dan merancang sistem informasi berdasarkan perspektif bisnis dan teknologi. Melalui pendekatan ini, akan mengidentifikasi kebutuhan bisnis Ferdy's Farm, memetakan proses operasional yang ada, dan merancang infrastruktur teknologi informasi yang sesuai. Hasil yang diharapkan dari penelitian ini adalah rancangan implementasi sebuah sistem informasi yang diharapkan dapat mengatasi masalah pengolahan data pesanan sayuran, meningkatkan efisiensi dalam manajemen stok, pemesanan, dan distribusi, serta memberikan analisis kinerja yang akurat. Dengan demikian, Ferdy's Farm diharapkan dapat mencapai pertumbuhan bisnis yang lebih baik dan mengoptimalkan layanannya kepada pelanggan.
Desain Sistem Deteksi Kecelakaan Lalu Lintas Berbasis Suara dengan CNN pada platform Embedded Artificial Intelligence Ahmada Haiz Zakiyil Ilahi; Irwansyah, Arif; Budi Nur Iman; Naufal Mukhfi Robbani
The Indonesian Journal of Computer Science Vol. 13 No. 5 (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.v13i5.4363

Abstract

Kecelakaan lalu lintas sering kali mengakibatkan kerugian besar, termasuk kehilangan nyawa. Banyak korban jatuh karena penanganan kecelakaan yang tidak memadai, seperti keterlambatan dalam memberikan informasi dan lokasi kecelakaan yang sulit dijangkau sehingga membuat korban menjadi tidak tertolong. Penelitian ini bertujuan mengatasi permasalahan yang disebabkan oleh kecelakaan lalu lintas dengan merancang dan menciptakan alat deteksi berbasis suara menggunakan metode Convolutional Neural Network (CNN) pada platform embedded artificial intelligence yang memanfaatkan Raspberry Pi 4. Alat ini memanfaatkan usb microphone dan GPS Ublox Neo-m8n untuk menangkap suara serta pengiriman data koordinat secara real-time. Dataset dibagi menjadi dua kelas yaitu crash dan normal, kemudian dataset diolah melalui augmentasi dan divisualisasikan sebagai Mel Spectrogram. Model yang didapat mencapai akurasi 98,63% dan loss 1,37% pada prediksi data testing, sementara implementasi real-time pada Raspberry Pi 4 dengan usb microphone menghasilkan akurasi 82% dari 50 sampel file audio. Sistem ini beroperasi dengan FPS rata-rata sebesar 13.14 untuk proses streaming dan 6.89 untuk proses prediksi serta dihasilkan konsumsi daya rata-rata sebesar 10.069 Watt. Output yang dihasilkan berupa pesan peringatan melalui aplikasi Telegram berupa informasi lokasi dan waktu kecelakaan lalu lintas. Penelitian ini diharapkan dapat meningkatkan respons dalam penanganan kecelakaan, mengurangi kerugian, dan menyelamatkan nyawa.
Analisis Perbandingan Algoritma Machine Learning dengan SMOTE dan Teknik Boosting dalam Peningkatan Akurasi Yuda Irawan; Refni Wahyuni; Rian Ordila; Herianto
The Indonesian Journal of Computer Science Vol. 13 No. 5 (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.v13i5.4368

Abstract

This research explores and enhances accuracy in sentiment classification related to Indonesia's Capital City relocation by combining Naive Bayes (NB), Random Forest (RF), SMOTE, and XGBoost. The study addresses challenges of unbalanced data and complexity in social media sentiment analysis. The combination of RF with SMOTE achieved the highest accuracy at 91.25%, demonstrating SMOTE's effectiveness in balancing the dataset and improving minority class detection. While adding XGBoost slightly reduced accuracy (90.92%), it increased the NB model's accuracy from 77.45% to 85.97% when combined with SMOTE. RF alone reached 87.46% and improved to 88.78% with XGBoost. The study underscores the importance of selecting and combining techniques to maximize sentiment prediction accuracy. Future research could explore deep learning or transformer models for even better results, offering deeper insights into public sentiment and aiding effective policy strategy development.

Page 74 of 113 | Total Record : 1127

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