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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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A Optimalisasi Pendataan Indeks Pembangunan Manusia Dengan Teknologi Digital: Meningkatkan Efisiensi, Akurasi, dan Berkelanjutan dalam Paradigma Sirkular Ekonomi Susilawati, Eva
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.v13i5.4302

Abstract

The Human Development Index (HDI) data collection is an essential process for measuring and monitoring the progress of human development in a country or region. With the shift towards increasingly integrated digital technology, the use of Android-based applications offers the potential to enhance efficiency and accuracy in the collection, analysis, and reporting of HDI data. This technology integration enables real-time and accurate data collection utilizing Geographic Information System (GIS) device sensors, thereby expanding accessibility for communities and stakeholders. The aim of this research is to improve operational effectiveness while positively impacting environmental and socio-economic sustainability. Integrating HDI data collection with a circular economy paradigm can also aid in identifying priority areas for sustainable development interventions. Based on the implementation results, practicality in the efficiency and accuracy aspects of application usage achieved 86%, categorized as "Very Practical". Therefore, these findings indicate that the developed application can enhance the optimization of HDI data collection in Cianjur Regency
Sistem Monitoring Kecepatan Angin Dan Suhu Udara Berbasis Notifikasi Telegram Muhammad Abrar; Deosa Putra Caniago; Rifa’atul Mahmudah Burhan; Refli Noviardi
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.v13i5.4305

Abstract

The unpredictable weather in Batam City impacts the use of sea transportation, which is frequently used by residents for inter-island crossings. There is a need for a real-time monitoring system for wind speed and air temperature, along with notifications when wind speeds become potentially dangerous for sea transportation users. In this research, an Internet of Things (IoT)-based monitoring system for wind speed and air temperature was implemented using the Thingspeak platform for real-time monitoring. The test results demonstrated that the monitoring system could successfully store wind speed and air temperature data in the Thingspeak database. Additionally, Thingspeak was able to display graphs of wind speed and air temperature. The notification tests via Telegram showed that when the wind speed reached 1.5-2.9 m/s, an alert warning was sent, and when the wind speed exceeded 3 m/s, a danger warning was issued.
Melihat lebih lanjut Knowledge Sharing pada Industri Pengembangan Perangkat Lunak: Sebuah Systematic Literature Review terhadap Faktor-Faktor yang mempengaruhi Knowledge Sharing dan Implementasi Praktisnya Ariq Naufal Satria; Ringgi Cahyo Dwiputra; Dana Indra Sensuse; Sofian Lusa; Damayanti Elisabeth
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.v13i4.4306

Abstract

In an organizational context, effective knowledge sharing can provide significant benefits to the organization. Efficient knowledge sharing can enhance the quality of individuals, thereby automatically improving the overall quality and performance of the organization. This process is particularly suitable for companies engaged in activities requiring complex knowledge, such as software development. However, to implement effective knowledge sharing, a company must possess strong internal capabilities. Furthermore, the forms of knowledge sharing implementation can vary depending on the organization. This research aims to identify the influencing factors of knowledge sharing along with their practical implementations within software development in general using systematic literature review. Several studies were obtained to answer the research questions. The results reveal those 40 distinct factors impacting knowledge sharing behavior individual, organizational, and technological aspects. Additionally, 16 different implementations of knowledge sharing were discovered, with knowledge repositories and meetings as the most common practices.
Bahasa Inggris Abdillah Sani, Ilham; Lapatta, Nouval Trezandy; Ngemba, Hajra Rasmita; Fahlevi, Mohammad Fazrin
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.v13i4.4307

Abstract

Implementing a digital-based hazardous work licensing management system at PT Citra Palu Minerals is intended to enhance the efficiency and transparency of the work permit process. The research methodology involves a qualitative approach, Agile methodology system development, and integration with WhatsApp for notifications. The research findings indicate that this system simplifies the submission, approval, and monitoring of work permits in a structured manner, thereby reducing the risk of work accidents. Black box testing demonstrates that the system's performance meets expectations, while the questionnaire results indicate a high level of user satisfaction with an average score of 4.3 out of 5. Implementing this system can serve as a model for enhancing occupational safety and health management in similar industries.
An Integration Method of UML Diagrams and Arduino UNO for Developing Water Pollution Detection System Abdulameer Abdulmonim, Dhafer; Zainab Hassan Muhamad
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.v13i4.4309

Abstract

Despite the scientific and health development in the world, water pollution can pose a threat to human health, whether the pollutants are biological or chemical. In addition, traditional methods of water pollution detecting require high costs, and take time. Due to the importance of water for human life, drinking, irrigation, or for use in industry etc. Thus, reliable methods for water contamination detecting are a crucial issue.This paper aims to propose an integration method of UML diagrams and Arduino UNO microcontroller for developing water pollution detection system. The proposed method consists of three phases, which are system’s design, system's schematic and system’s architecture. It uses use case diagram and sequence diagram. In addition, the system design consisting of a microcontroller and multiple connected sensors for water pollutant detection, namely pH, turbidity, dissolved solids, temperature, oxidation reduction potential and electrical conductivity. The result of this paper is the production an automatic water pollutant detection prototype using Arduino and UML diagrams to display the water pollution parameters. The variables pH, turbidity, dissolved solids, temperature, oxidation reduction potential and electrical conductivity were chosen because they are the physical and chemical parameters that most influence water quality. The proposed system is characterized by measuring the water quality in real time, low cost and its data is accurate and fast.
Noise Suppression of ECG Signal Using Optimized Digital Butterworth Bandpass Filter Septian, Belen
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.v13i4.4312

Abstract

ECG devices have been widely utilized by medical experts for cardiac health detection. It generates an analog signal that has intrinsic characteristics represented by PQRST waves. Each wave is useful for diagnostic purposes. However, ECG signal is prone to noise, particularly EMG noise. This noise occurs as a result of muscle contraction or sudden body movement of a subject. Several studies have been proposed to suppress the EMG noise on ECG. However, the complexity of an algorithm is a challenging task to be solved. Considering this problem, this research aims to suppress EMG noise using a low-complexity algorithm. To achieve this objective, a method of Butterworth bandpass filter DF-II has been proposed. The findings demonstrate that the proposed method improves SNR and signal power by 0.498dB and 0.006dBm/Hz respectively. It also demonstrates the capability to perform efficiently on a microcontroller unit.
Optimisasi SCADA di MPS dengan FINS UDP vs Modbus TCP via Node-RED Subekti, Ruminto; Hadiani, Dini; Ardaneshwara, Akhtar
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.v13i4.4315

Abstract

The increasing human population and rapid urbanization have led to a surge in the demand for manufactured products. This requires more complex and digitally connected control systems. Industrial automation, especially the use of a Programmable Logic Controller (PLC), is key to improve efficiency and productivity. However, the integration of different brands of PLCs in one system faces challenges due to differences in systems, controls, and communication protocols. Supervisory Control and Data Acquisition (SCADA) is implemented to overcome this problem by connecting the controlling device to the supervisory software. This research aims to develop Node-RED based SCADA to monitor and control Modular Production Systems (MPS) with multi brand PLC integration. Multibrand integration is applied to implement and test the performance of FINS UDP and Modbus TCP protocols. The test results show FINS UDP has a lower delay (66.85 ms) and higher throughput (3706.2 bps) than Modbus TCP, which has a delay of (348.05 ms) and a throughput of (3353.25 bps).
Perbandingan Algoritma Pembelajaran Mesin untuk Klasifikasi Wajah Menggunakan Penyematan FaceNet Catoer Ryando; Riyanto Sigit; Setiawardhana; Bima Sena Bayu Dewantara
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.v13i4.4323

Abstract

In recent years, face recognition has grown significantly in importance and popularity. Google created FaceNet, a deep learning system, in 2015, and it performs very well in creating extremely precise and personalised numerical representations of faces, or embeddings. In order to swiftly and effectively identify people, this study evaluates FaceNet's effectiveness in producing face embeddings and applies it to a variety of classification techniques, including support vector machine (SVM), decision tree, random forest, and k-nearest neighbours (KNN). A dataset with a wide range of positions, facial expressions, and lighting settings is used for the assessment. The findings of the experiment demonstrated that SVM with an radial basis function (RBF) kernel outperformed the other assessed classification techniques, achieving the maximum accuracy of 95%. These findings demonstrate the wide range of applications that face recognition technology may be used for, including identity management and security in different settings.
Analisis Sentimen Pengguna Aplikasi Gen Ai dari Appstore dan Googleplay Menggunakan Algoritma C45 Ningsih, Widia; Rahmaddeni; Adrianto, Sukri; Kurniawan, Fadly; Alfianda, Baginda
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.v13i5.4327

Abstract

Penelitian ini bertujuan untuk menganalisis sentimen pengguna aplikasi Generative AI (ChatGPT, Bing AI, Microsoft Co-Pilot, Gemini AI, dan Da Vinci AI) yang tersedia di AppStore dan Google Play menggunakan algoritma C4.5. Data yang digunakan dalam penelitian ini diambil dari ulasan pengguna yang tersedia di kedua platform. Proses penelitian meliputi pengumpulan data, pelabelan manual, dan pemrosesan data awal, termasuk pembersihan, tokenisasi, transformasi kasus, dan penghapusan stopword. Data yang diolah kemudian dianalisis menggunakan algoritma C4.5 untuk mengklasifikasikan sentimen menjadi positif, negatif, atau netral. Hasil penelitian menunjukkan bahwa algoritma C4.5 dapat mengklasifikasikan sentimen dengan akurasi, presisi, dan recall yang tinggi. Penelitian ini berkontribusi untuk memahami pendapat pengguna tentang aplikasi Generative AI dan membantu pengembang aplikasi meningkatkan kualitas dan kinerja aplikasi mereka berdasarkan umpan balik pengguna.
Digital Transformation to Enhance Digital Marketing Strategies for MSME: Case Study PT. XYZ Farhan; Lusa, Sofian; Kunto D.A , Himawan; Mutia Mayanda , Alia
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.v13i5.4331

Abstract

Since digitalization spread ubiquitously in almost all industries, many traditional businesses have also joined the trend, including PT. XYZ. This company is a startup company that sells queue machines and kiosks. Since 2019, PT. XYZ runs its business through Indonesia’s e-commerce such as Tokopedia and Shopee. However, many competitors appear to collect more customers which made PT. XYZ is difficult to compete with the market industry as a newcomer. In this queue machine and kiosk industry, PT. XYZ already has an official certification from Indonesia’s government and PT. XYZ machines were produced and painted by themselves. But, these main values don’t increase sales because of the lack of brand awareness. Therefore, the company needs a digital transformation to enhance its digital marketing strategy. This study objective uses BMC, PESTEL, and SWOT to analyze the as-is model and to-be model of the company so that the analysis will have a digital transformation strategy to increase brand awareness and sales. The results of this research show that digital marketing is needed to replace current marketing methods and carry out initiatives related to human resources, organizational structure, policy, technology, and community.

Page 73 of 113 | Total Record : 1127

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