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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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Deteksi Pohon Kelapa Sawit dengan Pendekatan Deep Learning pada Citra Multispectral di Indonesia Prasvita, Desta Sandya; Santoni, Mayanda Mega; Falih, Noor
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.v13i2.3753

Abstract

Perkebunan kelapa sawit memegang peran penting dalam ekonomi Indonesia, namun masih dihadapkan pada berbagai tantangan, salah satunya adalah tuduhan terkait deforestasi. Solusi untuk menangani permasalahan tersebut adalah dengan memanfaatkan teknologi remote sensing dan computer vision. Penggunaan kedua teknologi ini memungkinkan pemantauan otomatis pohon kelapa sawit dari jarak jauh. Penelitian ini berkontribusi dalam penerapan metode deep learning menggunakan teknologi remote sensing citra multispectral untuk deteksi pohon kelapa sawit. Data yang digunakan dalam penelitian ini juga merupakan data baru yang diperoleh dari perkebunan kelapa sawit di Kalimantan Timur, Indonesia. Metode deep learning berbasis deteksi objek yang digunakan adalah YOLOv5. Sebanyak enam belas model deteksi YOLOv5 dibangun dari kombinasi fitur citra multispectral (RGB, RGN, RBN, dan GBN) dan jaringan YOLOv5 yang berbeda (YOLOv5s, YOLOv5m, YOLOv5l, dan YOLOv5x) pada eksperimen penelitian ini. Model YOLOv5 terbaik untuk mendeteksi pohon kelapa sawit adalah RBN-YOLOv5m, dengan nilai mAP@50, mAP@[0.5,0.95], dan F1-score sebesar 78.3%, 44.9%, dan 81.0%. Kombinasi fitur near-infrared dan red band dapat memberikan informasi mengenai vegetasi sehingga kombinasi tersebut dapat meningkatkan hasil deteksi hanya dengan fitur RGB.
UTAPIS Indonesian Word Error Detection Application: Design and Development Sutomo, Rudi; Mediyawati, Niknik
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.v13i1.3754

Abstract

People misspell and incorrectly write Indonesian words without even recognizing it. Poor and incorrect language proficiency is a common cause of word spelling mistakes. Since PT Tribun Digital Online publishes between 600 and 700 articles a day, the U-Tapis website might be of great assistance to journalists in identifying grammatical problems. Three separate cities—Jakarta, Makassar, and Solo—have participated in the testing of the U-tapis website. @ Tribun Digital Online, PT. This department is in charge of using the Flask framework to create the U-tapis website design. This study develops software or applications that are comparatively brief, succinct, and quick using the RAD (Rapid Application Development) technique. In addition to system development methods. The implementation of this method uses the U-tapis Sentence Syntax Error Detection algorithm which functions to detect an algorithm comparing two pieces of data, calculated using a formula called the Jaccard Index to check spelling errors in words. UAT test results produce all the features according to the wishes of the company owner based on the problems faced.
Analisis dan Pengembangan Sistem Informasi Kemahasiswaan Berbasis E-Letter dengan Menggunakan User Centered Design Karunia, Reiza Dwi; Hidayati, Nurtriana
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.v13i4.3755

Abstract

SISKA adalah sebuah sistem informasi yang memuat mengenai informasi dan kegitan Kemahasiswaan Universitas Semarang. SISKA Sudah berjalan 2 tahun, berdasarkan pengguna SISKA masih memiliki kekurangan danbelum sesuai kebutuhan. Untuk mengetahui ketepatan tersebut sesuai atau tidak, maka disebarlah kuisioner terhadap 26 Responden yang mana terdiri dari Admin dan Mahasiswa yang memiliki hak akses SISKA pada Organisasi Mahasiswa. Dalam organisasi mahsiswa SISKA sebagai tempat mengupload surat menyurat, proposal kegiatan maupun Laporan Pertanggung jawaban kegiatan. Proposal ini dibuat untuk menganalisis serta mengembangkan SISKA agar sesuai dengan Kebutuhan. Pada proses pengembangan sistem ini menggunakan metode User Centered Design (UCD) serta untuk Analisis sistemnya menggunakan perhitungan Kuisioner SUS.
Identifying Key Factors Shaping New Users' Intentions in Mobile Investment Applications Haris, Abdul
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.v13i1.3756

Abstract

This paper seeks to examine the key factors predicting the behavioral intentions of mobile investment app users. By understanding these influencing factors, the ultimate goal is to encourage more people to adopt and accept these apps. Adopting an integrated approach, the research combines different UTAUT2 (Unified Theory of Acceptance and Use of Technology 2) constructs for hypothesis development and to evaluate the effects on users’ adoption and behavior use of such platforms. Through an online survey among 161 users of popular mobile investing applications in Indonesia and applying structural equation modeling for analysis with the SmartPLS statistical tool, this research contributes empirical evidence on factors that drive user behavior in the mobile investment domain. The final model provided a good basis for proving the hypotheses presented and the factors can account for 65.6% of the variability in mobile investment app behavior intention. The results show that Habit, Performance Expectancy, and Effort Expectancy are the key factors impacting individual behavioral intention to get mobile investment. These findings will assist researchers and professionals in understanding why individuals utilize mobile investment apps. More importantly, this study's recommendations will help utilize these aspects to enhance these apps’ benefits.
Empowering University Students with Cutting-Edge True Wireless Stereo Selection: A Comparative Analysis of Simple Additive Weighting and TOPSIS Algorithms Oetama, Raymond
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.v13i2.3757

Abstract

Currently, there are a lot of Solid-State Drives or SSDs that are running in the market. Each SSD can come with different features and prices from one another. Hence, this can confuse buyers planning to purchase one for their PC or laptop. It also applies to university students who depend on laptops to do college work and run on a limited budget. Any mistake in deciding which SSD to use can be costly. Henceforth, this paper aims to help decide what SSD would be best for an average university student. Two algorithms will determine which SSDs are best for university students to buy. The algorithms used are Simple Additive Weighting and Technique for Order of Preference by Similarity to Ideal Solution. The results of these algorithms are used to show the top three best SSDs for university students. Therefore, university students can make an informed choice based on the results from both algorithms.
Pengembangan Sistem Informasi Kesesuaian Lahan Tanaman Pangan Berdasarkan Faktor Cuaca Berbasis Website Utami, Putri; Abdullah, Asrul; Hudjimartsu, Sahid Agustian; Wicaksono, Aditya; Viona, Tiara Aurilia
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.v13i1.3758

Abstract

Evaluasi lahan dapat dilakukan untuk meningkatkan kualitas dan kuantitas komoditas pertanian. Salah satunya dengan persyaratan penggunaan lahan dengan mempertimbangkan karakteristik lahan. Namun, Dinas Pertanian selaku koordinator sulit mendapatkan informasi terkait karakteristik lahan yang sesuai dengan jenis tanaman berdasarkan faktor cuaca. Anomali cuaca menyebabkan turunnya produktitivitas tanaman. Tujuan penelitian ini adalah mengembangkan sistem informasi kesesuaian lahan untuk menentukan jenis tanaman pangan beradasarkan karakteristik lahan serta evaluasi kesesuaian lahan tanaman. Metode dalam penelitian ini adalah Framework for the Application of System Thinking (FAST). Tahapan FAST yaitu scope definition, problem analysis, requirement analysis, decision analysis, design, contruction and testing, dan instalation and delivery. Berdasarkan hasil uji kelayakan aplikasi menghasilkan nilai 87% dengan kriteria baik. Hasil ini menunjukkan bahwa sistem informasi kesesuaian lahan tanaman pangan dapat digunakan dengan baik.
Effectiveness of Digital Transformation in Data Warehouse Technology Rohajawati, Siti
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.v13i1.3759

Abstract

Banking performance must always be maintained in providing fast and accurate services based on data processing results. PT Bank ABC has several data warehouse from various sources. The technology used makes the reporting process more complex, and maintenance costs are high. This research presents the data warehouse system transformation process using a single source of truth approach and the use of Extract, Transform, and Load (ETL) tools from IBM InfoSphere DataStage version 11.5. ETL testing is carried out on the Performance Measurement System (PMS) process by business units to monitor, identify, and analyze performance in each business unit. The results obtained proved to be faster than DB2 and Oracle database queries. Using the DataStage platform provides advantages in time efficiency, which is a crucial factor in overall data processing. In addition, DataStage Integration can have a positive impact on overall system performance, support smooth operations, and minimize the potential for database server overload.  
Perancangan Aplikasi Rekapan Bukti Pembayaran Uang Sekolah Berbasis Mobile Arifandi, Fajar; Mardainis; Asnal, Hadi; Zoromi, Fransiskus
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.v13i1.3761

Abstract

SMK Taruna Pekanbaru merupakan salah satu sekolah yang berada di kota Pekanbaru dengan jumlah siswa/i aktif sekitar 800 orang siswa yang bersekolah di SMK Taruna Pekanbaru. Pada saat ini untuk informasi pembayaran uang sekolah di SMK Taruna Pekanbaru masih dilakukan secara manual sehingga apabila siswa ingin melihat bukti pembayaran sekolah siswa bisa melihat melalui kwitansi dan buku pembayaran. Oleh karena itu, penulis tertarik untuk membahas sistem informasi pembayaran sekolah yang bertujuan memudahkan siswa maupun bagian keuangan salah satunya untuk mengakses informasi pada suatu layanan di sekolah, khususnya pada layanan informasi rekapan bukti pembayaran uang sekolah di SMK Taruna Pekanbaru. Perancangan aplikasi rekapan bukti pembayaran uang sekolah di SMK Taruna Pekanbaru ini merupakan solusi modern yang dirancang untuk mempermudah pengecekan rekapan bukti pembayaran uang sekolah bagi siswa. Metode yang digunakan pada perancangan UI UX Design pada aplikasi rekapan bukti pembayaran uang sekolah di SMK Taruna Pekanbaru menggunakan metode Lean UX dan melakukan testing design menggunakan metode UEQ. Hasil akhir dari perancangan design tersebut akan dirancang kedalam sebuah aplikasi mobile dengan menggunakan bahasa pemograman kotlin. Hal ini dapat disimpulkan bahwa hasil akhir berupa aplikasi informasi pembayaran uang sekolah di SMK Taruna Pekanbaru berbasis mobile, dengan sistem ini siswa dan guru dapat mengetahui informasi pembayaran dan rekapan pembayaran yang mudah dilakukan untuk pengecekan uang sekolah yang sudah di bayar maupun yang belum di bayar, dengan adanya aplikasi ini dapat memudahkan proses administrasi sekolah.
A Literature Review on Access Control in Networking Employing Blockchain Wijesekara, Patikiri Arachchige Don Shehan Nilmantha
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.v13i1.3764

Abstract

Access Control (AC) in networking attempts to make sure that only authorized devices perform actions formed upon privileges defined for them with a view to prevent malicious users' entry and interaction in the communication grid. Blockchain solutions contain an arrangement of related blocks that naturally safeguards the trustworthiness, defending the incontestability, defend masked-identity of its transactions/transfers due to scattered consensus strategies and cryptographic solutions. Our survey comprehensively reviews BC-formed AC in broad scope of networking considering AC techniques while breaking down into 4 propositions and assessing them in terms of blockchain roles, AC technique and approach, network elements, and rest. We stockpiled a primary sample of 79 bibliographic references by weeding out them for screening criteria sought from scientific information reservoirs exploiting a qualitative and extensive strategy. Formed upon this survey, in blockchain-formed AC, blockchain can be exploited as an AC manager to administrate network devices and access information, implement automatic AC by means of smart contracts, secure storage of AC related data to reinforce overall AC security, and for safe data exchanging in the operation of AC. Minute assessment highlights that from blockchain-formed AC, 52.5% provide AC using blockchain itself or using smart contracts, 92.5% exploit sequential blockchain, 35% exploit PBFT consensus, provide 100% fine-grained and host-formed AC, 85% decentralized AC, 87.5% have single-factor authentication, 92.5% provide dynamic AC, and 45% have opted for IoT. Finally, we evaluate the chances and difficulties of the principle of blockchain-formed AC and then giving recommended actions to beat them.
Perbandingan Deteksi Alzheimer: ViT, CNN dan ViT dengan Bobot pada Citra Medis Salsabila, Aisyah Nur; Liebenlito, Muhaza; Zulkifli, Dhea Urfina
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.v13i1.3765

Abstract

Penyakit Alzheimer merupakan suatu tipe demensia yang berpengaruh terhadap ingatan, cara berpikir, dan perilaku. Gejala-gejala tersebut dapat menjadi cukup parah sehingga dapat mempengaruhi kegiatan sehari-hari. Dalam penelitian ini, diperkenalkan aplikasi Convolutional Neural Network (CNN) sederhana dan pre-trained model Vision Transformer (ViT) untuk menganalisis data MRI Scan Alzheimer dengan empat kelas, yaitu Mild Demented, Moderate Demented, Non Demented, dan Very Mild Demented. Pada penelitian ini, dilakukan perbandingan pengaplikasian CNN dengan bobot dan ViT yang dilakukan dengan menggunakan dua cara, yaitu dengan bobot dan tidak. Hasil dari penelitian ini menunjukkan bahwa pengaplikasian ViT dengan bobot menghasilkan akurasi yang lebih tinggi dibanding dengan metode lainnya. Dari penelitian ini, diharapkan dapat menganalisa dan mendeteksi penyakit Alzheimer dalam bidang kesehatan dengan efisien.

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