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KAKIFIKOM : Kumpulan Artikel Karya Ilmiah Fakultas Ilmu Komputer
Published by Universitas Katolik Santo Thomas
ISSN : -     EISSN : 27163261     DOI : -
Core Subject : Science, Education,
Computer Science & IT Decision Sciences, Operations Research & Management Other
KAKIFIKOM (Kumpulan Artikel Karya Ilmiah Fakultas Ilmu Komputer) dengan Izin LIPI nomor eISSN : 2716-3261 merupakan Artikel hasil riset dari tugas akhir mahasiswa yang dijurnalkan dan dipakai untuk menunjang kegiatan akademik di Universitas secara khusus dan terbuka untuk Umum dalam bidang Ilmu Komputer. Media ini berdiri sejak Tahun 2019 dengan jadwal publikasi dari Media Online ini adalah 2 (dua) kali dalam setahun yaitu setiap Bulan April dan Bulan Oktober. Diharapkan Media Publikasi Online ini dapat bermanfaat dan mendukung bagi perkembangan ilmu pengetahuan di bidang Informatika dan Komputer. Topik utama yang diterbitkan mencakup: Computer Architecture, Parallel and Distributed Computer, Pervasive Computing Computer Network and Security, Embedded System, Human-Computer Interaction, Virtual/Augmented Reality, Computer Security, Software Engineering (Software: Lifecycle, Management, Engineering Process, Engineering Tools and Methods) Programming (Programming Methodology and Paradigm), Computer Learning, Information Management System, Knowledge Based Management System (Knowledge Discovery in Data), Network Traffic Modeling, Performance Modeling, Dependable Computing, High Performance Computing, Computer Security, Human-Machine Interface, Information Theory,Intelligent Systems, IT Governance, Networking Technology, Computer Vision, Information Retrieval, Mobile Processing, Natural Language Processing, Business Process, Cognitive Systems, Dan lain-lain dalam bidang informatika
Arjuna Subject : Ilmu Komputer (semua kategori) - Aplikasi Ilmu Komputer
Articles 109 Documents
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Mengamankan Perangkat Jaringan Dari Serangan DDoS Menggunakan Fitur Firewall-RAW di Router MikroTik Bahri, Syaiful; Purba, Doni El Rezen
KAKIFIKOM : Kumpulan Artikel Karya Ilmiah Fakultas Ilmu Komputer Volume 6 Nomor 1 Tahun 2024
Publisher : UNIKA Santo Thomas

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Abstract

DDoS (Denial of Service) attacks are a serious threat in network security that can cause services to become unavailable due to unusually high traffic volumes. This research aims to secure network devices from DDoS attacks by using the Firewall-RAW feature on the MikroTik Router. In tests carried out using MikroTik RouterOS, DDoS attacks were effectively prevented by using firewall rules that were set to reject packets that exceeded a predetermined threshold. However, the test results also show that the CPU Load of the device is still affected by DDoS attacks, although to a limited extent. This emphasizes that protecting against DDoS attacks is not an easy task, but the use of firewall rules can help reduce the system load due to these attacks. The recommended next step is to ensure the router device has sufficient CPU resources to anticipate the impact of a DDoS attack that may occur in the future. However, it is important to remember that firewall rules are only an additional protective measure and do not guarantee absolute protection from DDoS attacks. Therefore, there is a need for a comprehensive security strategy and appropriate infrastructure improvements to reduce the risk of greater DDoS attacks
Penerapan Analisis Algoritma Elias Omega Code Pada Citra Digital Liskedame Yanti; Sinaga, Chaston Ramotto; Sagala, Angelica Claudia
KAKIFIKOM : Kumpulan Artikel Karya Ilmiah Fakultas Ilmu Komputer Volume 6 Nomor 1 Tahun 2024
Publisher : UNIKA Santo Thomas

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Abstract

The large size of digital image files is an obstacle in their storage, transmission, and processing. Digital image compression is a solution to overcome this problem. The Elias Omega Code algorithm is one of the efficient and easy-to-implement lossless compression algorithms. This research aims to analyze the Elias Omega Code algorithm on digital images. The analysis includes: implementation of the Elias Omega Code algorithm for digital image compression, evaluation of the performance of the Elias Omega Code algorithm in terms of compression ratio and image quality, comparison of the performance of the Elias Omega Code algorithm with other image compression algorithms. The results of the study show that the Elias Omega Code algorithm can produce a high compression ratio with preserved image quality. This algorithm has better performance than the Huffman and LZW algorithms, but lower than the JPEG algorithm..
Sistem Pendukung Keputusan Penilaian Kinerja Pegawai Universitas Katolik Santo Thomas Medan menggunakan Metode TOPSIS Harianja, Andy Paul; Sinaga, Andri Mahdalena
KAKIFIKOM : Kumpulan Artikel Karya Ilmiah Fakultas Ilmu Komputer Volume 6 Nomor 1 Tahun 2024
Publisher : UNIKA Santo Thomas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54367/kakifikom.v6i1.3918

Abstract

Education personnel are personnel in charge of planning and carrying out administration, management, development, and technical services to support the educational process in educational units. Santo Thomas Catholic University is currently located at Jl. Setia Budi No.479-F Tanjung Sari Medan. Santo Thomas Catholic University is under the auspices of the Archdiocese of Medan (KAM). In general, a decision support system is a system that is capable and provides problem solving capabilities with semi-structured and unstructured conditions. Processing in the current assessment process which still uses conventional or manual methods using paper and then divided per unit to be filled in so that the process becomes long or prone to errors and errors and in the process of assessing employee performance there is often a delay in assessing promotion. TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) is used as one of the methods in processing data for each alternative in the database, where in the end the processing is in the form of ranking based on criteria that have been determined.is in the form of determining rankings based on predetermined criteria.
Pengukuran Silhouette Score dan Davies-Bouldin Index pada Hasil Cluster K-Means dan DBSCAN Hasan, Yasir
KAKIFIKOM : Kumpulan Artikel Karya Ilmiah Fakultas Ilmu Komputer Volume 6 Nomor 1 Tahun 2024
Publisher : UNIKA Santo Thomas

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Abstract

eval_uation of Clustering results is a critical step in unsupervised data analysis. Clustering algorithms such as K-Means and DBSCAN are often used, but choosing the right algorithm for a dataset can be challenging. Application of Silhouette Score and Davies-Bouldin Index as internal eval_uation metrics to eval_uate Clustering results from K-Means and DBSCAN. The K-Means and DBSCAN methods were chosen because of their popularity and ability to handle various types of data. The Silhouette Score provides a measure of how well each data point is placed in its own Cluster compared to other Clusters, while the Davies-Bouldin Index eval_uates how far away the Cluster is from the others. This research was carried out by implementing both algorithms on an experimental dataset, namely the employee performance dataset and comparing the eval_uation results using these two metrics. The experimental results of both eval_uation metrics provide useful insights in eval_uating the quality of employee performance Clustering from K-Means and DBSCAN. Thus, the use of the Silhouette Score and Davies-Bouldin Index can be an effective guide in choosing an appropriate Clustering algorithm for a dataset without the need for ground truth labels.
Penggunaan Model Klaster K-Means Dan Klasifikasi KNN Untuk Identifikasi Pengetahuan Matematika Mahasiswa Sunandar, Hery
KAKIFIKOM : Kumpulan Artikel Karya Ilmiah Fakultas Ilmu Komputer Volume 6 Nomor 1 Tahun 2024
Publisher : UNIKA Santo Thomas

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Abstract

Students' mathematical knowledge is an important factor that needs to be considered in the learning process majoring in Informatics Engineering. Students who have low mathematical knowledge will definitely have difficulty calculating and applying the algorithms used to solve programming and computing problems. The weaknesses that these students have can become obstacles to the future. By knowing students' mathematical knowledge, the learning process does not have to be adjusted to the student's level of knowledge, but further action is needed to increase students' mathematical knowledge. One way to find out students' mathematical knowledge is to classify students' mathematical knowledge. Classification of students' mathematical knowledge can be done using a very popular method, namely the K-Nearest Neighbor (KNN) method. However, in order for classification to be carried out, grouping must be carried out first to form classes from the results of grouping mathematical knowledge data. The grouping of students' mathematical knowledge data was carried out using the K-MEANS method. Data on students' mathematical knowledge was taken based on course grades for calculus 1, applied physics, calculus 2, statistics and probability, and discrete mathematics. The grades from several of these courses will be processed using K-MEANS and form three groups of mathematical knowledge, namely slow, sufficient, and fast. Thus, it was concluded that to determine the classification of slow, sufficient, and fast mathematical knowledge of students majoring in informatics engineering, it was carried out using the KNN method, but first the data was grouped using the KMEAN method.
Pendaftaran Mahasiswa Baru Sekolah Tinggi Ilmu Kesehatan Columbia Asia berbasis WEB Batubara, Muhammad Iqbal; Sembiring, Hermansyah; Harefa, Naomi Kristiani Putri
KAKIFIKOM : Kumpulan Artikel Karya Ilmiah Fakultas Ilmu Komputer Volume 6 Nomor 1 Tahun 2024
Publisher : UNIKA Santo Thomas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54367/kakifikom.v6i1.3973

Abstract

The application is built using the waterfall method, in developing the System Development Life Cycle (SDLC) which is a general methodology in system development that marks the progress and efforts of analysis and design starting with data collection through observation and interviews, system needs analysis to eval_uation based on system testing. The Design of a Web-Based New Student Registration Information System at Columbia Asia Health College is expected to make it easier for prospective new students to register by saving time and money compared to coming directly to campus and with this system students can get all information about new student admissions through the website. And also this information system is expected to help and facilitate the processing of student data at Columbia Asia Health College.
Perancangan Aplikasi UMKM dengan Metode B2C pada UMKM Kelurahan Teladan Timur Matondang, Zekson Arizona; Tampubolon, Kennedi
KAKIFIKOM : Kumpulan Artikel Karya Ilmiah Fakultas Ilmu Komputer Volume 6 Nomor 1 Tahun 2024
Publisher : UNIKA Santo Thomas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54367/kakifikom.v6i1.4001

Abstract

Sosoial media merupakan sarana bagi konsumen untuk melakukan belanja online, seiring dengan meningkatnya pengguna marketplace, maka dari itu aplikasi merupakan hal yang semakin penting. UMKM saat ini banyak diperjual belikan bukan lagi secara konvensional melainkan melakukan penjualan secara online, banyak produk hasil UMKM yang diproduksi dari olahan rumah tangga yang di proses oleh ibu rumah tangga secara langsung, akan tetapi para ibu rumah tangga banyak yang memasarkan produknya hanya dengan pelanggan yang ada di sekitar saja, sehingga penjualan produknya sangat terbatas, padahal di era digital saat ini dengan memanfaatkan media social dan aplikasi yang bisa melakukan penjualan produk sangatlah banyak, akan tetapi para ibu rumah tangga banyak yang belum paham cara menggunakannya secara efektif, pada penelitian ini akan membangun aplikasi penjualan UMKM sekaligus melakukan pelatihan penggunaanya.
Sistem Informasi Penjualan Kopi Sidikalang (Walmanso Farm) Menggunakan Metode Waterfall Berbasis Web Naibaho, Rahmat Sulaiman; Simarmata, Lidia
KAKIFIKOM : Kumpulan Artikel Karya Ilmiah Fakultas Ilmu Komputer Volume 7 Nomor 1, Edisi April 2025
Publisher : UNIKA Santo Thomas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54367/kakifikom.v7i1.5137

Abstract

Walmanso Farm merupakan salah satu pelaku usaha kopi Sidikalang yang mengalami tantangan dalam mengelola penjualan secara manual, seperti pencatatan transaksi yang tidak efisien, kesulitan dalam pendataan produk, serta keterbatasan jangkauan pemasaran. Untuk mengatasi masalah tersebut, dirancang sebuah Sistem Informasi Penjualan berbasis web yang bertujuan untuk mempermudah proses transaksi, pengelolaan data produk, dan memperluas jangkauan penjualan. Pengembangan sistem ini menggunakan metode Waterfall, yang melibatkan tahapan analisis kebutuhan, perancangan sistem, implementasi, pengujian, dan pemeliharaan. Sistem ini menyediakan fitur utama seperti manajemen produk, pengelolaan transaksi, laporan penjualan, serta integrasi dengan metode pembayaran. Hasil implementasi menunjukkan bahwa sistem ini mampu meningkatkan efisiensi operasional dan meminimalkan kesalahan pencatatan data penjualan. Dengan demikian, sistem informasi ini diharapkan dapat menjadi solusi efektif bagi Walmanso Farm dalam mendukung kegiatan bisnis dan meningkatkan daya saing di era digital.
Rancang Bangun Aplikasi Diskusi Mahasiswa Sebagai Sarana Kolaborasi Di Universitas Katolik Santo Thomas Tumanggor, Ferdinan; Sitorus, Lamhot
KAKIFIKOM : Kumpulan Artikel Karya Ilmiah Fakultas Ilmu Komputer Volume 7 Nomor 1, Edisi April 2025
Publisher : UNIKA Santo Thomas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54367/kakifikom.v7i1.5246

Abstract

Catholic University of Santo Thomas is committed to providing high-quality education by emphasizing moral and ethical values, as well as students' academic abilities. In the era of rapid information and communication technology, the need for an effective means of collaboration is increasingly urgent, especially to address the issue of spreading gossip and bad information on campus. Gossip and negative news can damage a university's reputation, cause conflict, and disrupt the learning process. To overcome this, a solution is needed that can facilitate productive discussions and maintain content security in the campus environment. This research aims to develop a web-based student discussion application that prioritizes security and convenience. This application is designed for collaboration with discussions that are free from negative content with technologies such as Google Vision API and Perspective API, and supports collaboration through advanced features such as Gemini AI to find automatic conclusions.

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