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Tri A. Sundara
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ijcs@stmikindonesia.ac.id
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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 1,100 Documents
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Implementasi Algoritma FP-Growth Pada E-Commerce Kopi Pagar Alam Menggunakan Framework Codeigniter Dewi, Nadiya Citra; Putrawansyah, Ferry; Puspita, Desi
The Indonesian Journal of Computer Science Vol. 10 No. 2 (2021): 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.v10i2.3012

Abstract

Penelitian ini bertujuan untuk menghasilkan Implementasi Algoritma FP-Growth pada E-commerce menggunakan metode Business to Consumer (B2C) khusus kopi Pagar Alam Penelitian ini dilatarbelakangi oleh kurangnya daya jual kopi selama pandemi, dimana proses penjualan kopi yang hanya sebatas lokal sehingga dibutuhkan E-commerce yang membantu proses transaksi jual beli yang leboh kompleks. Metode pengembangan yang digunakan Rapid, Application dan Development. E-commerce ini dibuat menggunakan bahasa pemrograman PHP 7 yang include dengan framework Codeigniter 3 dengan menggunakan API raja ongkir dan virtual payment menggunakan Midtrans. Hasil penelitian ini adalah E-commerce dinyatakan layak pada uji alpha yakni Ahli Database, Interface, Fungsional dan Algoritma dengan nilai rata-rata 3,8 sehingga Layak di implementasikan dan pada uji betha ke 10 user didapatkan skor 4,3 dengan kategori sangat valid selanjutnya pada pengujian algoritma FP-Growth pada aspek Pengelompokan dan penyeleksian data dinyatakan berhasil sehingga disimpulkan bahwa E-commerce Kopi Pagar Alam layak dan sangat valid untuk di implementasikan sebagai start-up bisnis bagi petani.
Implementasi Data Mining Dengan Metode C4.5 Untuk Prediksi Mahasiswa Penerima Beasiswa Hendri, Halifia
The Indonesian Journal of Computer Science Vol. 10 No. 2 (2021): 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.v10i2.3013

Abstract

Memperoleh beasiswa adalah keinginan dari setiap mahasiswa yang menempuh pendidikan terutama bagi mahasiswa yang berasal dari keluarga miskin dengan penghasilan total kedua orangtuanya dibawah Rp. 600.000,00 setiap bulannya. Dengan adanya beasiswa dapat memperingan beban orangtua yang membiayai mahasiswa tersebut kuliah dan dapat memperlancar proses perkuliahan. Namun kebanyakan mahasiswa tidak tahu secara akurat yang harus dilakukan agar bisa mendapatkan beasiswa tersebut. Mahasiswa tentu juga ingin mengetahui faktor dan kondisi apa saja yang paling mempengaruhi untuk mendapatkan beasiswa. Tujuan penelitian ini adalah mengetahui cara melakukan prediksi atau peramalan dari sejumlah mahasiswa yang akan mendapatkan beasiswa pada perguruan tinggi dengan menggunakan metode C4.5. Perangkat lunak Rapid Miner versi 9.7.002 digunakan untuk mengolah data dalam penelitian. Hasil penelitian ini adalah dari 100 mahasiswa diprediksi sebanyak 9 orang (9%) akan menerima beasiswa dan 91 orang (91%) tidak akan menerima beasiswa.
Audit Sistem Informasi pada E-Learning Universitas Negeri Padang Menggunakan Framework COBIT 4.1 Syukhri; Giatman, M; Ambiyar; Simatupang, Wakhinuddin; Syahril
The Indonesian Journal of Computer Science Vol. 10 No. 2 (2021): 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.v10i2.3014

Abstract

Penelitian ini bertujuan untuk mengetahui sejauh mana kinerja e-learning UNP khususnya bagi mahasiswa tahun masuk 2020 dan memberikan rekomendasi terhadap tata kelola perbaikan sesuai dengan framework COBIT 4.1 khususnya pada domain Delivery and Support serta Monitoring and Evaluate. Pengumpulan data dilakukan dengan penyebaran kuesioner kepada mahasiswa tahun masuk 2020 dengan sampel sebanyak 98 responden. Metode yang digunakan adalah deskriptif dengan pendekatan kualitatif. Penelitian ini menghasilkan tingkat kematangan e-learning UNP berada pada level 4 yaitu managed and measureable dimana UNP telah memiliki sejumlah indikator atau ukuran kuantitatif yang dijadikan sebagai sasaran maupun objektif kinerja setiap penerapan aplikasi teknologi informasi yang ada.
Penerapan YOLO Untuk Identifikasi Dan Penayangan Informasi Peralatan Laboratorium Dalam Mendukung Merdeka Belajar Arief, Lathifah; Muhammad, Fauzan
The Indonesian Journal of Computer Science Vol. 10 No. 2 (2021): 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.v10i2.3015

Abstract

Computer Laboratory serves as the place to conduct experimentation in regards to Computer System. During the practical or experimentation, it is not rare to see the confusion or misunderstanding of what to do or what is needed. This problem comes from lack of knowledge and how one or more dsvice is identical to another. With the development of technology, the new method using machine learning is made for soving these problems. The system with You Only Look Once method will detect the device on camera, and then showing the file that contains datasheet explaining what that device is and how to use it. This system can also be used at anytime so everyone can learn through it and improves the efficieny of the study.
Perancangan dan Manajemen Mail Server dengan Menggunakan Exchange Server Hariyadi; Giatman, M.; Muskhir, Mukhlidi; Effendi, Hansi
The Indonesian Journal of Computer Science Vol. 10 No. 2 (2021): 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.v10i2.3016

Abstract

In general, a lot of work is done by computerization, be it in the corporate environment or in the world of education. This development can be seen from the software side (software) including the operating system and applications that can be run on it, and so is the hardware (hardware), with this research Knowing the traffic, data capacity when sent by the user: creating high security public folders on this system, building mail servers for multiple users, so that there is high security in public folders development of mail servers followed by an active directory which can be set on the domain controller so that user contact information is easily known, this system can monitor traffic, data capacity, user sending.
Implementasi SPK Menggunakan Metode ARAS Untuk Penentuan SMA dan SMK Terbaik Berbasis Website Iqbal, Muhammad; Satria, Budy; Radillah, Teuku
The Indonesian Journal of Computer Science Vol. 10 No. 2 (2021): 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.v10i2.3017

Abstract

Many students want to continue their education to Senior High School (SMA) and Vocational High School (SMK), especially in the Pinggir District area. However, students and parents find it difficult to choose the best school due to the lack of information obtained. From this problem, a decision support system is needed to provide recommendations for determining the best SMA and SMK. The method used is ARAS (Additive Ratio Assessment). This method uses the concept of calculation in the form of ordering utility values (i) from the highest to the lowest value. The school data used are 8, namely SMAN 1, SMAN 2, SMAN 3, SMAN 4, SMAN 5, SMAN 6, SMKN 1, SMKN 2 and the criteria data are 7, namely School Facilities, Accreditation, Graduate Quality, HR, Extracurricular, School Achievement and Location. From the results of the research conducted, there are 5 schools with the best school recommendations and their calculated values, namely SMKN 1 = 0, 122477, SMKN 2 = 0.121488, SMAN 5 = 0.116763, SMAN 6 = 0.112653 and SMAN 1 = 0.108850.
Multi-Scale Data Center Room for Computing and Storage Nandigana, Vishal
The Indonesian Journal of Computer Science Vol. 10 No. 2 (2021): 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.v10i2.3018

Abstract

In this paper, a list of multi-scale data center system computers and data Storage devices for cloud computing and transfer of cloud computing data and storage and computations in a square 100 meters room is worked for AIDesign software for cloud computing data storage using the devices and computing using the same storage requirements and performing the transfer of data storage and data transfer and computations for AIDesign software to perform the operations, computing, storage and data transfer to enable milliseconds computing of design and analysis in the cloud computing storage facility room. AIDesign software is patented, and industries approved and commercially available over https://aidesign.today.
A Theoretical Artificial Intelligence Framework for Electricity Generation Life Cycle Mnkandla, Ernest
The Indonesian Journal of Computer Science Vol. 11 No. 2 (2022): 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.v11i2.3019

Abstract

The global economic growth heavily lies on the manufacturing sector. However, over the past decade, manufacturing sector in general has been facing a serious production downturn, hence, operating below its capacity mostly due to its inefficient and ineffective production system. Additionally, due to failure for manufacturing sector to constantly measure, develop and implement novel approaches in order to make sure it positions itself for economic growth as well as unlocking new opportunities within the ever-changing and complex worldwide market environment. However, ss of 2011, Industrial revolution 4.0 seems to have been a crucial factor in reshaping the sociological, economic, and technological landscape. Businesses associated with exposure to continuous digital transformation are able to capitalize on Industrial revolution 4.0 potential but are also compelled to deal with various impediments. Yet, research on the opportunities associated with the integration of Industry 4.0 in manufacturing industries from a holistic perspective is scarce. To fill this research gap, this study adopted the PRISMA approach to conduct a thorough investigation on the potential opportunities related to the adoption of industry 4.0 in the context of manufacturing businesses.
An integrated Machine Learning Model for Manufacturing industry Mulongo, Yves
The Indonesian Journal of Computer Science Vol. 11 No. 1 (2022): 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.v11i1.3021

Abstract

The purpose of this article is to examine the process of developing services based on machine learning technologies in a manufacturing environment context. Over the past decade, there has been a resurgence of interest in technology, with prominent technology business organisations and several start-ups incorporating it into their operations. The technology's widespread applications capacity for obtaining a competitive advantage, combined with the prospect of task automation for increased operational efficiency, renders it a significant resource for large corporations. Yet, the rate at which most of manufacturing firms are implementing Machine Learning services into their operations is very insignificant. Technical expertise has dominated study in this field, with minimal participation from other areas. Thus, the goal of this article is to identify the development benefits of Machine Learning services and to provide a process model for their deployment, based on service development and value theory.
Application of Artificial Neural Network into Manufacturing Processes Mnkandla, Ernest; Mulongo, Yves
The Indonesian Journal of Computer Science Vol. 11 No. 2 (2022): 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.v11i2.3022

Abstract

The neural network model is an advanced and effective tool aims at simulating the manufacturing operations. An important number of researchers have utilized artificial neural network (ANN) to optimising multiple response metrics in manufacturing applications. In the majority of situations, the use of ANN enables the prediction of the mechanical and physical properties of manufacturing goods based on provided technical data. To this end, the deployment of ANN in manufacturing sector is tremendously significant in terms of cost and material resource savings. Thus, Artificial neural network as a key component regarding the optimization of the manufacturing processes.

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