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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 88 Documents
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Search results for , issue "vol. 13 no. 1 (2024): the indonesian journal of computer science" : 88 Documents clear
Analisis Sentimen Terhadap Cyberbullying Pada Komentar Di Instagram Menggunakan Algoritma Naïve Bayes Fauzan Baehaqi; Cahyono, Nuri
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.v13i1.3301

Abstract

Cyberbullying, penggunaan teknologi digital yang disengaja untuk menyakiti, mempermalukan, atau menggertak orang lain secara online, telah menjadi isu penting dalam masyarakat saat ini. Dampak dari cyberbullying bisa sangat parah, menyebabkan masalah kesehatan mental, rendah diri, dan, dalam beberapa kasus tragis, hilangnya nyawa. Memahami fenomena ini secara mendalam dan menemukan solusi efektif untuk mengatasinya sangatlah penting. Analisis sentimen menggunakan algoritma Naïve Bayes sebagai pendekatan yang layak untuk mengatasi cyberbullying di Instagram. Tujuan utama dari penelitian ini adalah untuk mempelajari dan menganalisis sentimen terkait cyberbullying pada komentar Instagram menggunakan algoritma Naïve Bayes. Dengan menganalisis konten yang terkait dengan cyberbullying, penelitian ini bertujuan untuk memberikan wawasan yang lebih baik tentang masalah tersebut dan mengidentifikasi pola dan karakteristik khusus yang dapat membantu upaya pencegahan dan intervensi. Temuan ini dapat berkontribusi untuk menciptakan lingkungan online yang lebih aman dan melindungi kesejahteraan pengguna media sosial.
Analisis Keamanan Jaringan Komputer Menggunakan Metode IDS dan IPS dengan Notifikasi Telegram: Computer Network Security Analysis Using IDS and IPS Methods with Telegram Notifications Syaiful Huda, Taufiq; Subektiningsih, Subektiningsih
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.v13i1.3505

Abstract

Penelitian ini bertujuan untuk menganalisis keamanan jaringan komputer dengan memanfaatkan metode Intrusion Detection System (IDS) dan Intrusion Prevention System (IPS) yang dilengkapi dengan notifikasi melalui platform Telegram. IDS dan IPS merupakan teknologi yang penting dalam menjaga integritas dan keamanan jaringan komputer dari ancaman serangan jaringan komputer. Penelitian ini mencoba mengintegrasikan kedua sistem ini untuk mendeteksi potensi intrusi dan secara aktif mencegah serangan sambil memberikan notifikasi real-time melalui Telegram, memungkinkan administrator untuk segera mengambil tindakan responsif. Metodologi yang digunakan mencakup implementasi dan konfigurasi IDS/IPS, serta pengujian terhadap skenario intrusi yang mungkin terjadi. Hasil penelitian ini diharapkan dapat memberikan wawasan yang lebih baik tentang tingkat keamanan jaringan komputer dan mengidentifikasi cara-cara yang lebih efektif dalam menghadapi ancaman serangan jaringan komputer.
Analysis and Design of Web-based Internal Office Memo (IOM) Management System Veza, Okta; Larisang, Larisang; Setyabudhi, Albertus Laurensius; Arifin, Nofri Yudi; Syofiawan, Doni; Martino, Hisar Gusdian
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.v13i1.3511

Abstract

This research focuses on the design and implementation of a web-based Internal Office Memo (IOM) Management System in the PT InnoArk Servis Internasional Optipedia Team. The main problem relates to ineffective communication and coordination between divisions, which results in backlogs and repetition of work as well as difficulties in monitoring task progress. The research method adopts a System Development Life Cycle (SDLC) approach with a waterfall model and uses the Unified Modeling Language (UML) for system design. Implementation was carried out by utilizing the CodeIgniter framework and MySQL as a database, followed by black box testing of the requirements testing type. The result is a system that successfully improves operational efficiency, team collaboration, and transparency of work progress. This application not only overcomes communication obstacles, but also provides a basis for making better decisions based on actual data, maintaining the smooth implementation of tasks, and improving the quality of team collaboration in the PT InnoArk Servis Internasional Optipedia Team.
Prediksi Tingkat Angkatan Kerja Terhadap Pengangguran Terbuka Di Semarang Menggunakan Regresi Linier Febrilia Hayyu Pradaningrum, Febrilia; Abdulloh, Ferian Fauzi
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.v13i1.3525

Abstract

Unemployment is a situation where a person who does not have a job is caused by many factors, not only because they are lazy to look for work but mostly in this region of Indonesia unemployment is caused by limited employment opportunities, a lot of competition in the world of work, the large number of the labor force, lack of experience in the world of work, and also too choosy in working. The unemployment that occurs in Semarang is caused by the high number of labor force that makes the unemployment rate more and more. In this research, the author predicts the level of unemployment in Semarang. This research is a quantitative research whose data is taken from BPS Semarang. In this research, the author uses linear regression algorithm. The algorithm is widely used in cases to predict a problem, this research produces an RMSE (Root Mean Square Error) value of 0.07 with an R Square value of 91%. The results obtained can be used as a reference for the government to see the high unemployment rate in Semarang.
Capabilities Comparison Of The Augmented Reality Application Development Frameworks On The Android Platform Suryani, Mifta Aprilya; Jambak, Muhammad Ihsan; Putra, Pacu
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.v13i1.3535

Abstract

In the implementation of augmented reality, the natural process of human-computer interaction continues to be a challenge, specifically to reduce the complexity in the effort of using and providing comfortability. Therefore, it is necessary to search for methods and tools to simplify the complex process of building Augmented Reality applications. Vuforia is a multi-platform that has long been used as an Augmented Reality application development framework. Android and iOS platform frameworks are the new alternatives following the development of cellular technology. Furthermore, a comparative capability was conducted between Vuforia and ARCore on the Android platform. The general performance and the ability to understand the environment include working in horizontal and vertical planes, the ability to work based on lighting conditions, and the distance of the camera during the tests. The results showed that ARCore is superior to Vuforia in almost all testing metrics. However, in overexposed or too dim lighting and at very close surfaces, Vuforia is slightly superior but not essential. Therefore, it can be concluded that ARCore's capability is better than Vuforia.
Penerapan Fuzzy Logic Untuk Menentukan Laba Penjualan Laptop di PT. XYZ Jufri, Muhammad
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.v13i1.3551

Abstract

Perkembangan teknologi zaman sekarang sangat pesat. Laptop merupakan salah satu teknologi yang berkembang pesat. Laptop – laptop yang ada di pasaran pun terdapat banyak macam, dan laptop sudah menjadi salah satu kebutuhan yang tidak bisa dipisahkan dari kehidupan. Laptop dibutuhkan berbagai kalangan, seperti kalangan siswa – siswi untuk mengerjakan, remaja untuk bermain permainan, menonton video, mencari informasi, dan lain – lain, kalangan pekerja untuk mengerjakan kerjaan kantor. Meningkatnya kebutuhan akan laptop menyebabkan banyaknya transaksi jual beli laptop. Hanya saja selama ini keuntungan dari penjualan laptop di PT XYZ menggunakan cara manual. Untuk itu, dibutuhkan sebuah sistem yang dapat menentukan jumlah keuntungan yang diperoleh dari tiap transaksi penjualan laptop. Dalam penelitian ini penentuan keuntungan penjualan laptop menggunakan logika kabur metode mamdani. Dengan menggunakan sistem ini diharapakan bisa memudahkan PT XYZ menentukan keuntungan penjualan laptop yang lebih akurat. Hasil akhir dari penelitian ini berupa sistem prototype yang bisa menproses masukan berupa harga modal, harga jual, dan kecepatan jual menjadi keluaran berupa keuntungan dari setiap transaksi penjualan laptop yang terjadi
Revitalisasi Pembelajaran Hukum Newton melalui Augmented Reality pada Aplikasi NewtonAR dengan Metode MDLC Hermansyah, Vicky; Nur Aini, Afifah; Purwanto, Agus
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.v13i1.3557

Abstract

Ilmu Pengetahuan Alam (IPA), khususnya dalam Fisika, memiliki peran vital dalam pengembangan Ilmu Pengetahuan dan Teknologi (IPTEK). Pembelajaran IPA memerlukan kemampuan berpikir, berargumen, beranalisis, dan sikap ilmiah untuk menerapkan pengetahuan sebagai solusi terhadap masalah sehari-hari. Konsep fisika sering kali sangat abstrak, seperti Hukum Newton, yang sulit diobservasi langsung. Untuk memahami penerapan Hukum Newton, diperlukan praktikum agar siswa memahami materi lebih mendalam. Namun, kebanyakan sumber pembelajaran saat ini lebih cenderung menggunakan buku. Penelitian ini mengatasi tantangan tersebut dengan mengembangkan aplikasi media pembelajaran fisika berbasis Augmented Reality (AR) melalui metode Multimedia Development Life Cycle (MDLC). Aplikasi ini menciptakan antarmuka menarik dengan animasi 3D visualisasi Hukum Newton dan memanfaatkan AR untuk pengalaman belajar interaktif. Hasil uji kelayakan dengan siswa SMA menunjukkan respons positif dengan tingkat kelayakan sebesar 96,9%, membuktikan aplikasi ini sebagai alternatif efektif untuk meningkatkan pembelajaran fisika di tingkat SMA dengan teknologi terkini.
Analisis Data Mining Clustering Dan Classification pada Kepuasan Pengguna Layanan Bus Trans Kota Batam (Studi Kasus UPT Pelayanan Jasa Transportasi): Data Mining Dewi, Indah Kusuma; Veza, Okta; RAMADHAN, RIDHO
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.v13i1.3560

Abstract

Di bidang pemerintahan ini kepuasan layanan sudah menjadi suatu acuan keberhasilan terutama dari UPT. Pelayanan Jasa Transportasi Batam dalam kualitas pelayanan Trans Batam. Acuan tersebut dapat dijadikan sebuah evaluasi untuk meningkatkan dan mempertahankan kualitas layanan bus Trans Kota Batam. Tujuan dari penelitian ini untuk menghasilkan segmentasi kepuasan layanan pengguna bus Trans Kota Batam dengan algoritma K-means serta informasi klasifikasi berupa unsur pelayanan yang paling berpengaruh pada kepuasan pengguna layanan bus Trans Kota Batam dengan algoritma Decision Tree. Pada penelitian ini peneliti menggunakan metode pendekatan KDD (Knowledge Discovery in Database) dengan metode penelitian kualitatif dalam analisis data mining clustering dan classification lalu peneliti mengimplementasikan data mining clustering pada tools Orange dan data mining classification pada tools RapidMiner. Hasil yang didapatkan dari analisis data mining clustering dan classification pada kepuasan layanan pengguna bus Trans Kota Batam ialah didapatkan segmentasi kepuasan pelanggan dengan 2 cluster yaitu C1 dengan segmentasi kepuasan pelanggan “Puas” dengan jumlah 481 responden dari 995 responden dan C2 dengan segmentasi kepuasan pelanggan “Sangat Puas” dengan jumlah 514 responden dari 995 responden serta didapatkan informasi klasifikasi berupa unsur pelayanan yang berpengaruh pada kepuasan pelanggan yaitu unsur pelayanan persyaratan pelanggan, unsur pelayanan perilaku pelaksana, unsur pelayanan waktu pelayanan, unsur pelayanan produk layanan, unsur pelayanan sarana dan prasarana, unsur pelayanan sistem, mekanisme, dan prosedur yang digunakan serta unsur pelayanan kompetensi pelaksana
Development of Buy The Best: A Consolidated Shopping Experience Nazar, Mobeen; Zaveri, Ayesha Anees; Waqas, Abdul; Naeem, Rimsha; Mashood, Ramsha; Sami, Naveera; Faisal, Nabiha
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.v13i1.3562

Abstract

This research paper presents the development of "Buy by Best," a user-friendly platform designed to save users' time by providing a consolidated shopping experience. The project addressed the inconvenience of visiting multiple websites and logging in to various accounts to shop for different brands. Extensive research was conducted to explore existing shopping websites, user behaviors, and industry trends. The project team analyzed multiple sites, considering brand reputation, product variety, and user experience. Based on the findings, "Buy by Best" was developed to streamline the shopping process. The platform features a centralized login where users can access products from various brands, eliminating the need for multiple website visits and logins. Technologies like the MERN stack and Python libraries like Selenium and Beautiful Soup were used for web development and web scraping of brand products. The platform offers a user-friendly interface with options to browse products by brand, apply filters, and view product details. Users can place orders seamlessly and be redirected to the brand's official website. Future work includes developing a mobile application, enhancing the user interface, expanding the range of brands, and integrating other platforms. In conclusion, "Buy by Best" offers users a convenient and time-saving solution by consolidating products from various brands into a single platform. The project successfully achieves its objective through web scraping, user authentication, and intuitive interfaces.
Implementation of Octalysis-Based Gamification Method Cross-Platform For Design of Time Management Application Christopher, Kurnia; Adline Twince Tobing, Fenina
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.v13i1.3568

Abstract

Time management is an important skill in college. The greater the student's skill in managing his time, the greater the student's academic performance. However, there are students who do not have these skills and almost drop out of college. Therefore, application design and development are carried out.time management using the Octalysis framework gamification method, which is cross-platform-based so it can be accessed anywhere. The application has been completed and has been evaluated by 31 respondents using the Unified Theory of Acceptance and Use of Technology Model (UTAUT), amounting to 83.20%. From the results of this evaluation, it can be concluded that the time management application was well received by students

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