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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 1,170 Documents
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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
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
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
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
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
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
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.
Implementation of Lean Warehouse to Improve the Performance of Warehouse Activities at PT. ABC Ilmi, Mohammad Nachrul; Endang Pudji W; Yekti Condro Winursito
The Indonesian Journal of Computer Science Vol. 13 No. 1 (2024): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i1.3785

Abstract

PT. ABC, a company operating in the cocoa product manufacturing industry, faces challenges related to waste during the reception of large spare parts, resulting in extended lead times for receiving goods. To address these issues, it is imperative to conduct an analysis of enhancements in the spare part receiving section within the maintenance warehouse to minimize or eradicate existing waste, thereby ensuring a shorter and more efficient process for receiving spare parts. Lean warehousing, which focuses on identifying and eliminating waste in warehouse operations or processes while reducing the time required to fulfill company requirements, serves as the guiding principle. The potential time reduction achievable by eliminating non-value-added activities is estimated at 26.56 minutes, representing a 23.8% decrease
Improvement of Data Operations Management using CMMI and DMBOK in Soekarno-Hatta Meteorology Station Nur Ramdhani, Jihan; Rudelviani, Yova; Pradnyadipa, I Made Aditya; Shofwan, Irwan
The Indonesian Journal of Computer Science Vol. 13 No. 2 (2024): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i2.3786

Abstract

Soekarno-Hatta Meteorology Station is a Technical Implementation Unit within Badan Meteorologi, Klimatologi, dan Geofisika (BMKG). It has the duties to manage, and process data for safety, regulation, and aviation navigation efficiency by distributing the processed data to their stakeholder, such as Air Traffic Service (ATS), flight operators, and pilots. Furthermore, research was also conducted in the station regarding the creation of Aerodrome Climatological Summary (ACS) annually. Loss of flight document data occurred in 2019 due to a ransomware attack, causing the cessation of the data operation process on the flight document. Unfortunately, there is no data recovery resulting in the unavailability of flight document data. This accident is very crucial because flight document data should not be lost within a 30-day timeframe as it is needed in case of any flight accident mechanism. It shows that Data Operations Management needs to be improved to support the business process. This study aims to evaluate the maturity level of data operations management in Soekarno-Hatta Meteorology Station by a conceptual model based on DAMA-DMBOK and the level of maturity is assessed using the Capability Maturity Model Integration (CMMI). The result showed that the average activity reaches level 2. Six activities are at level 1, namely obtaining externally sourced data, plan for data recovery, set database performance service levels, archive, retain, and purge data, support specialized database inventory and track data technology licenses, support data technology usage and issues. The rest of the activities will require action to improve their maturity level as given in the recommendation.
Analisis Perbandingan Kernel Morfologi Citra Otak Ditinjau dari Nilai PSNR Retno Devita
The Indonesian Journal of Computer Science Vol. 13 No. 3 (2024): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i3.3787

Abstract

Image processing banyak digunakan diberbagai bidang kehidupan diantaranya dibidang kedokteran untuk mendiagnosa penyakit. Salah satu penyakit yang menggunakan image processing adalah tumor otak. Tumor otak merupakan penyakit yang sangat membahayakan manusia yang menyerang organ otak. Pada penelitian ini, membandingkan morfologi citra otak dengan menggunakan kernel 11 dan kernel 13. Data yang digunakan ada 5 citra otak hasil CT-Scan yang diproses menjadi 45 citra otak. Metode yang digunakan adalah metode morfologi dilasi, erosi, closing dan opening. Citra otak diproses menggunakan morfologi kernel 11 dan kernel 13 kemudian akan dibandingkan nilai citranya menggunakan nilai MSE, RMSE dan PSNR. Hasil penelitian citra otak yang tertinggi didapat dari kernel 11 yaitu metode closing dengan nilai MSE=453.634.918, RMSE=21.298.707 dan PSNR=21.563739 dB. Nilai terendah didapat dari kernel 13 metode dilasi dengan nilai MSE=9.101.720.394, RMSE=95.402.937 dan PSNR=8.539569 dB. Kesimpulanya, nilai kernel 11 lebih bagus hasilnya dibandingkan dengan kernel 13 jika ditinjau dari nilai PSNR.
Algoritma Decision Tree ID3 Bagi Lembaga Pemberi Pinjaman Untuk Menentukan Faktor Yang Mempengaruhi Kelayakan Individu Memperoleh Pinjaman Riza Wirasena, Muhammad; M Rollan Reinaldi; Muhammad Ihsan Jambak
The Indonesian Journal of Computer Science Vol. 13 No. 3 (2024): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i3.3790

Abstract

Lembaga pemberi pinjaman menghadapi tantangan dalam mengevaluasi kelayakan suatu individu untuk memperoleh pinjaman. Proses ini memerlukan analisis mendalam terhadap sejumlah faktor yang dapat mempengaruhi keberhasilan pembayaran pinjaman. Oleh karena itu, diperlukan pendekatan yang efisien dan sistematis untuk menentukan faktor-faktor kritis yang memengaruhi kelayakan pemberian pinjaman. Penelitian ini bertujuan untuk memanfaatkan algoritma Decision Tree ID3 sebagai metode analisis yang efektif dalam menentukan faktor-faktor yang paling mempengaruhi kelayakan suatu individu memperoleh pinjaman. Algoritma Decision Tree ID3 digunakan untuk mengidentifikasi dan mengurutkan faktor-faktor yang memiliki dampak signifikan terhadap keberhasilan pembayaran pinjaman. Penggunaan metode ini diharapkan dapat memberikan pemahaman yang lebih baik tentang keputusan pemberian pinjaman. Hasil penelitian menunjukkan bahwa algoritma Decision Tree ID3 mampu mengidentifikasi faktor-faktor utama yang mempengaruhi keputusan pemberian pinjaman. Faktor-faktor tersebut mencakup Cibil score, nilai aset tempat tinggal dan jangka waktu pinjaman. Dengan demikian, lembaga pemberi pinjaman dapat menggunakan hasil analisis ini sebagai panduan dalam meningkatkan proses pengambilan keputusan pemberian pinjaman. mencari nasabah yang telah memiliki beberapa faktor kelayakan tersebut agar nantinya rating mendapatkan nasabah baru yang pasti memperoleh pinjaman dapat lebih tinggi dari sebelumnya.

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