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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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Pre- Estimasi Daya Aktif pada Gedung Bertingkat dengan menggunakan Time Series Neural Network Armanto, Ony; Novie Ayub Windarko; Setiawardhana
The Indonesian Journal of Computer Science Vol. 13 No. 2 (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.v13i2.3766

Abstract

Penggunaan energi listrik untuk kehidupan sehari – hari semakin meningkat tanpa adanya pengawasan dan pembatasan yang mengakibatkan penggunaan energi semakin semena – mena , penggunaan energi berlebihan juga disebabkan perkembangan teknologi yang semakin memudahkan pekerjaan manusia. Namun kebutuhan energi listrik yang besar tidak disertai dengan kapasitas energi listrik yang memadai. Oleh sebab itu diperlukan sebuah metode estimasi beban listrik jangka menengah dengan menggunakan Time Series Neural Network. Penelitian ini diharapkan dapat mengurangi jumlah energi listrik yang tidak terpakai dan digunakan se efisien mungkin. Pada penelitian ini menghasilkan nilai MAPE sebesar 5.36% dan nilai RMSE sebesar 9.2
Evaluations of Large Language Models a Bibliometric analysis sekwatlakwatla, Sello Prince; Malele, Vusumuzi
The Indonesian Journal of Computer Science Vol. 13 No. 1 (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.v13i1.3767

Abstract

The development of artificial intelligence (AI) and the increased curiosity about how large language models (LLMs) may maximize an organization's opportunities and the ethical implications of LLMs, such as the ability to generate human-like text, give rise to concerns regarding disinformation and fake news. As a result, it is crucial to develop evaluation benchmarks that take into account the social and ethical implications involved. The great challenges of LLMs lack awareness of their own limitations, yet they persist in producing responses to the best of their capabilities. This often results in seemingly plausible but ultimately incorrect answers, posing challenges to the implementation of reliable generative AI in industry. This paper aims to delve into the evaluation metrics of machine-learning models' performance, specifically focusing on LLM. Therefore, bibliometric analysis utilized to explore and analyze various techniques and methods used in evaluating large language models. Additionally, it sheds light on the specific areas of focus when evaluating these models. The results show that natural language processing systems, classification of information, and computational linguistics are some of the techniques used to evaluate large language models. This work paves the way for future investigations employing extensive language models.
Lean Manufacturing Analysis to Minimize Waste on The Production Process Silambi, Yobel; Indiyanto, Rus
The Indonesian Journal of Computer Science Vol. 13 No. 1 (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.v13i1.3768

Abstract

Improvements to eliminate or reduce non-value added activities that cause waste with Lean Manufacturing analysis on CV ABC. Lean Manufacturing is a continuous effort to eliminate (waste) and increase value add (value added) products (goods/services) to provide value to customers (customer value). Objective This research is to determine the factors that cause waste in the production process and to give proposal on company method minimize waste which has been identified. Data in this research are quantitative and qualitative data. Primary data processing in the form of standard time calculations took 30 data, which means 30 batches of fish roulade production. Lean Manufacturing Approach carried out by analyzing the flow of information and the flow of goods using the Value Stream Mapping method. Waste Which dominant happen that is time waiting, unnecessary movements and processes it is not in accordance with. Waste of time waiting occurs in process steaming. Waste time wait on process production can be minimized by adding production facilities which can reduce the dough waiting outside the machine steaming. Waste movement which no need can minimized by increased supervision from superiors as well as providing firm action to workers. Waste for non-compliant processes can be reduced by clarify standard operation Which applies in company and stick it in every production process, as well do maintenance machine in a way regular so that performance machine always deep conditions which good. Reduced time to reduce lead time ie amounting to 37.78 minutes. This time is obtained from subtraction the process of taking spices, weighing flour and vegetables as well as preparation and maximization activities process draining with addition facility. Matter this result change time leads time production from 674.44 minutes to 636.66 minutes.
Sales Analysis on Garment Industry with Datawarehouse and ETL Implementation on Star Schema Tan, Dasmond; Wiratama, Jansen; Fernandi Wijaya, Santo
The Indonesian Journal of Computer Science Vol. 13 No. 1 (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.v13i1.3770

Abstract

In the current industrial era, clothing companies face increasingly complex challenges in maintaining the quality and sales of their products. To overcome these obstacles, companies must have a good vision, mission, and decision-making capabilities supported by efficient data management. Data is becoming a valuable asset in Industry 4.0, pivotal in process management, increased productivity, and competitive advantage. This research explores the implementation of Data Warehouse (data warehouse) and ETL (Extraction, Transformation, and Load) processes on star schema for PT Golden Flower Tbk. A data warehouse is a container for storing company data, supporting decision-making, and providing business insights. Meanwhile, the ETL process ensures that the data entered into the warehouse is clean, structured, and ready for analysis. PTA garment manufacturing and exporter company, USPT Golden Flower Tbk, uses the Pentaho application to carry out the ETL process. Pentaho, a Business Intelligence tool, facilitates easy data processing and analysis. This research also explains the use of dimension tables and fact tables in star schemas, which form the basis for more in-depth data analysis. Through visualization and analysis using star schema, Mondrian, and schema workbench, companies can identify sales patterns in each branch and understand which products are most in demand by consumers. The results of the star schema, moMondrianand schema workbench provide a better understanding of the company's sales performance, enabling more informed decision-making and more effective strategies.
Analisis dan Pemodelan Proses Bisnis Pengajuan Jabatan Fungsional Dosen Pada Universitas Sriwijaya Putra, Pacu; Oktadini, Nabila Rizky; Meiriza, Allsela; Sevtiyuni, Putri Eka
The Indonesian Journal of Computer Science Vol. 13 No. 1 (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.v13i1.3771

Abstract

Dosen merupakan pendidik professional yang memiliki tanggung jawab untuk menyalurkan ilmu pengetahuan, teknologi, dan seni. Dalam menghargai hasil dari kegiatan dosen, Pemerintah memberikan penghargaan yaitu berupa jabatan fungsional dosen. Proses penilaian Angka Kredit Kenaikan Jabatan Akademik/Pangkat dosen merujuk kepada dokumen pedoman operasional yang diterbitkan oleh Direktorat Jenderal Sumber Daya Iptek dan Dikti Kementerian Riset, Teknologi, dan Pendidikan Tinggi Tahun 2019. Dalam pelaksanaan proses penilaian angka kredit kenaikan jabatan akademik/pangkat dosen tersebut. Rektor Universitas Sriwijaya mengeluarkan prosedur operasional standar (POS) dengan kode POS/UNSRI/SPMI-04/05-01. Berdasarkan studi pendahuluan yang dilakukan penulis, sejak tahun 2017, Universitas Sriwijaya belum melakukan evaluasi kaitan alur dan waktu terhadap prosedur operasional standar tersebut. Business Process Improvement (BPI) merupakan metodologi yang tersusun secara sistematis guna mengembangkan proses bisnis yang dapat membantu organisasi dalam menyederhaakan, serta merampingkan suatu proses didalam organisasi. Dengan menerapkan metodologi BPI, proses bisnis dalam pengajuan jabatan fungsional dosen di Universitas Sriwijaya diharapkan lebih efektif lagi.
Safety Belt Product Quality Analysis to Analyze The Number of Defects Using The Seven Tools Method at PT. XYZ Aldino Rafly Rahma Dana; Donoriyanto, Dwi.Sukma
The Indonesian Journal of Computer Science Vol. 13 No. 1 (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.v13i1.3773

Abstract

PT XYZ is a company that operates in the automotive spare parts sector. The problem at PT XYZ is quality defects in safety belt part products. Based on these problems, its necessary to carry out an analysis of improvements in production so that it can produce quality products and reduce product defects.Seven tools are seven basic tools used to solve problems faced by production, especially problems related to quality. Quality improvement using seven tools can explain in detail the types of product defects and the causes of these product defects [5]Based on the data analysis that has been carried out, improvements are proposed to improve product quality, Get used to working accordingly SOP, Provide a place to products in a safe place, Familiarize workers to carry out periodic checks, Streamlining air circulation by creating vents, The head production provides a closed storage area, Instruct material suppliers to provide anti-rust coatingsBased on the data analysis that has been carried out, improvements are proposed to improve product quality, Get used to working accordingly SOP, Provide a place to products in a safe place, Familiarize workers to carry out periodic checks, Streamlining air circulation by creating vents, The head production provides a closed storage area, Instruct material suppliers to provide anti-rust coatings
Eksplorasi Praktis Pembelajaran Musik di Android dengan Aplikasi Flowkey Elizar, Elizar; Admiral, Admiral; Arnailis, Arnailis; Rafiloza, Rafiloza; Syafniati, Syafniati
The Indonesian Journal of Computer Science Vol. 13 No. 2 (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.v13i2.3774

Abstract

Artikel ini mengeksplorasi peran aplikasi pembelajaran musik Flowkey dalam era digital pasca-pandemi Covid-19 di Indonesia. Flowkey menawarkan interaktivitas visual, fleksibilitas waktu dan tempat, serta adaptasi tingkat kesulitan, memastikan pengalaman belajar yang disesuaikan dengan kebutuhan individu. Metode penelitian menggunakan pendekatan "Library Research" dengan sumber referensi dari jurnal-jurnal terverifikasi. Hasil penelitian menunjukkan bahwa Flowkey tidak hanya alat pembelajaran musik, tetapi juga pengalaman eksplorasi musik yang menyenangkan dan mendidik. Keunggulan aplikasi ini menciptakan lingkungan pembelajaran yang mendukung pengembangan keterampilan musik individu. Artikel ini menyimpulkan bahwa Flowkey dapat menjadi solusi inovatif dalam membentuk masa depan pembelajaran musik yang holistik di era digital, dengan potensi untuk terus mengembangkan fitur-fitur inovatif dan mendukung perkembangan keterampilan musik secara menyeluruh.
Seni Tari di Era Virtual dan Augmented Reality Citrawati, A.A.I.A; Oktavianus; Nurmalena; Irdawati; Herwanfakhrizal
The Indonesian Journal of Computer Science Vol. 13 No. 2 (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.v13i2.3779

Abstract

The art of dance has been revolutionized in the era of virtual and augmented reality (VR and AR), bringing about significant transformations in presentation, interaction and audience participation. This article explores the impact of these technologies on the art of dance, investigating how VR and AR are changing artists' creativity, enriching the audience experience, and enabling the development of new dance styles. In this context, dance is not only a witness to change, but also the main actor in combining traditional beauty with modern innovation. The method applied is "Library Research" which is sourced from national and international journals through platforms such as scholar.google.com, www.elsevier.com, and www.crossref.org. As a result, the art of dance in the era of virtual and augmented reality does not maintain its traditional richness, but also becomes an agent of innovation that combines the beauty of art with technological progress.
Data science for energy applications: A Bibliometric Analysis Sekwatlakwatla, Sello Prince; Malele, Vusumuzi
The Indonesian Journal of Computer Science Vol. 13 No. 2 (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.v13i2.3781

Abstract

Global digitalization is altering the energy sector, demanding the adoption of data science applications to improve efficiency and innovation, despite the industry's existing data analytics. Data science is revolutionizing the energy and utilities industries, enabling efficient, sustainable, and innovative decision-making through data analysis and smart grid optimization. In the energy industry, organizations are turning to data science to reduce waste, optimize energy usage, and provide alternative energy sources. With the different parts of Africa facing energy crises, different applications are needed to provide a solution. Data science has the potential to provide good information and knowledge that could be used to contribute to energy solutions. To address these concerns, data science models enable utilities to accurately forecast energy demand, enabling efficient generation, distribution, waste reduction, and informed investment decisions by leveraging historical consumption data, weather patterns, and economic indicators. This article aims to explore data science for energy applications. The findings show tools and techniques that can be utilized to provide energy efficiency and energy sustainability through data science applications.
Analisis Pola Musik Karawitan di Tengah Era Digital Firman; Firdaus; Halim, M.; Alfalah; Sriyanto
The Indonesian Journal of Computer Science Vol. 13 No. 2 (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.v13i2.3783

Abstract

Traditional arts, especially musical music, are facing challenges in the digital era and the influence of foreign cultures. Efforts continue to be made to combine technology with traditional arts. The method adopted in this research is library research, which involves collecting data and information in depth through various references such as books, magazines, other references, and research results. This research explains the adaptation of Karawitan music patterns to modern technology and its impact on the interests of the younger generation. Use of digital musical instruments to create innovative compositions that combine traditional elements with contemporary elements. The role of the community in supporting the preservation of Karawitan art is also emphasized, with active participation in traditional music events and efforts to promote the culture to others. In conclusion, this article emphasizes the complexity of the relationship between tradition and innovation in the context of Karawitan music in the era of modern technology.

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