cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
M. Miftach Fakhri
Contact Email
fakhri.miftach@gmail.com
Phone
-
Journal Mail Official
lontara.digitechidn@gmail.com
Editorial Address
Jalan Abdullah Dg. Sirua, Kompleks BTN CV Dewi Blok B6 No. 12, Makassar
Location
Kota makassar,
Sulawesi selatan
INDONESIA
Journal of Digital Technology and Computer Science
Published by PT. Lontara Digitech Indonesia
ISSN : 30310318     EISSN : 30308127     DOI : -
Core Subject : Science, Engineering,
Computer Science & IT Electrical & Electronics Engineering Engineering
Journal of Digital Technology and Computer Science (DIGITECH). DIGITECH encompasses all aspects of the latest research and developments in the field of computer science, including: - Digital Technology - Computer Systems and Networking - Artificial Intelligence (AI) and Machine Learning - Image and Sound Processing - Information Security - Operating Systems and Computer Architecture - Cloud and Edge Computing - Internet of Things (IoT) - Big Data and Analytics
Arjuna Subject : Ilmu Komputer (semua kategori) - Kecerdasan Buatan
Articles 25 Documents
 1   2   3 
OutfiX : Pengembangan Aplikasi Online Shop Berbasis Android Dengan Metode Agile Andi Siti Khadijah; Aqda; Aulia Dessiana
Journal of Digital Technology and Computer Science Vol. 1 No. 2 (2024): Mei 2024
Publisher : Lontara Digitech Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61220/digitech.v1i2.242

Abstract

The Kemajuan teknologi informasi dan internet telah mengubah pola aktivitas masyarakat, termasuk dalam transaksi jual beli daring. Peningkatan penggunaan smartphone dan akses internet menjadikan aplikasi belanja online sebagai solusi praktis dan efisien bagi masyarakat modern. Namun, masih ditemukan permasalahan pada aplikasi online shop, seperti antarmuka yang kurang ramah pengguna, alur transaksi yang rumit, serta fitur pengelolaan produk yang terbatas, khususnya bagi pelaku UMKM. Penelitian ini bertujuan merancang dan mengembangkan aplikasi online shop berbasis Android bernama outfiX dengan metode Agile. Pendekatan ini memungkinkan pengembangan dilakukan secara bertahap, adaptif, dan melibatkan pengguna secara aktif. Aplikasi outfiX dilengkapi fitur utama seperti katalog produk, sistem pemesanan, proses checkout sederhana, dan antarmuka yang mudah digunakan. Pengujian dilakukan di setiap iterasi untuk memastikan kesesuaian dengan kebutuhan pengguna. Metode white-box digunakan untuk memverifikasi logika internal program, sedangkan black-box menilai fungsionalitas dari sisi pengguna. Kualitas aplikasi juga dievaluasi melalui tiga siklus sprint pengembangan Agile yang berfokus pada penyempurnaan fitur dan perbaikan bug. Hasil penelitian menunjukkan bahwa metode Agile efektif dalam menyesuaikan pengembangan aplikasi terhadap kebutuhan yang terus berubah. Aplikasi outfiX diharapkan menjadi solusi digital yang praktis bagi pelaku usaha, memperluas jangkauan pasar, dan memberikan pengalaman belanja online yang lebih menyenangkan serta efisien. Penelitian ini turut memberikan kontribusi pada pengembangan aplikasi e-commerce yang adaptif di era digital.
KNN Vs Naive Bayes: An Innovative Comparison in Predictive AI Learning With Association Data Support Jannah, Devi Miftahul; Aprilianti Nirmala S
Journal of Digital Technology and Computer Science Vol. 3 No. 1 (2025): November 2025
Publisher : Lontara Digitech Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61220/digitech.v3i1.20251

Abstract

This study analyzes how Naive Bayes and K-Nearest Neighbor (KNN) predict learning outcomes based on artificial intelligence (AI). The main focus of this study is the difficulty of algorithms in handling complex learning data and the contribution of Association Rule Mining (ARM) attribute features in improving prediction accuracy. The methods applied include two classification algorithms (KNN and Naive Bayes) in an exploratory-comparative quantitative research design, as well as the application of ARM to uncover hidden patterns among variables using the apriori algorithm. Data for 368 students with prior experience in artificial intelligence technology was collected through an online survey. Although KNN outperforms in recall, the study results show that Naive Bayes has higher precision. By detecting hidden correlation patterns that cannot be identified by conventional classification methods, ARM improves classification results. The discussion emphasizes that the selection of the best algorithm depends on the application's objectives, namely whether the priority is on classification accuracy or the range of relevant results. Based on these findings, a hybrid technique combining KNN, Naive Bayes, and ARM is highly recommended for creating a more efficient and accurate prediction system to support AI-based education.
WorkSpot: Platform Android Berbasis Agile untuk Rekomendasi Tempat Mengerjakan Tugas bagi Mahasiswa dan Profesional Sadva Anargya; Inggrid Adellia; Muhammad Aidil Berkah Juliah
Journal of Digital Technology and Computer Science Vol. 1 No. 2 (2024): Mei 2024
Publisher : Lontara Digitech Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61220/digitech.v1i2.241

Abstract

Mahasiswa dan pekerja digital sering mengalami kesulitan dalam menemukan tempat yang optimal untuk mengerjakan tugas, terutama yang mendukung konsentrasi, memiliki koneksi internet stabil, serta suasana yang nyaman. Penelitian ini bertujuan mengembangkan WorkSpot, sebuah aplikasi mobile yang memberikan rekomendasi tempat kerja berbasis data real-time. Aplikasi ini dirancang untuk membantu pengguna memilih lokasi kerja berdasarkan preferensi seperti tingkat kebisingan, kualitas internet, dan kenyamanan. Pengembangan sistem menggunakan metode agile, yang memungkinkan proses iteratif dan adaptif terhadap kebutuhan pengguna. Proses pengembangan mencakup tahapan perencanaan, analisis kebutuhan, desain antarmuka dan sistem, pengkodean menggunakan Android Studio, serta pengujian fungsi dan performa. Hasil dari studi kelayakan menunjukkan bahwa aplikasi ini layak dikembangkan secara teknis, ekonomis, dan organisasi. Aplikasi WorkSpot mampu memberikan rekomendasi yang relevan dan mendukung produktivitas pengguna. Dengan memanfaatkan data lokasi, ulasan pengguna, serta integrasi Firebase dan Google Maps, aplikasi ini dapat membantu mahasiswa dan pekerja dalam menentukan tempat kerja yang ideal. WorkSpot memberikan kontribusi nyata dalam pemanfaatan teknologi mobile untuk meningkatkan efisiensi belajar. Aplikasi ini juga mendukung kegiatan bekerja di lingkungan yang lebih kondusif.
Digides: Development of a Web-Based Information System for Village Data Administration and Management Using the Waterfal Method Faldy; Andi Azzahfira Putri Suhaoping; Musryfah Sa’adah
Journal of Digital Technology and Computer Science Vol. 2 No. 1 (2024): November 2024
Publisher : Lontara Digitech Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61220/digitech.v2i1.20245

Abstract

The development of information technology has encouraged the transformation of public services in villages to be more efficient and transparent. This research aims to develop the Integrated Village Information and Service System (Sipandai) website to overcome administrative problems such as population data collection, correspondence, and access to information. Sipandai provides digital administration features, budget transparency, village news, and online levy payments. The system development uses the iterative and flexible Agile method, allowing for customization according to the user's needs. The results of the development show that the implementation of Agile supports the effectiveness of the system, improves the quality and speed of public services in the village, and encourages community participation in more transparent governance. Sipandai also functions as a means of community empowerment and strengthening information technology-based village governance. The test results using the Black Box and White Box methods showed a 100% success rate with no errors found in all test scenarios
SIPANDAI: Development of an Integrated Village Public Service Website Using the Agile Method Alisa Zahra Syahdia; Alya Wulandari; Muh. Asdar; Andi Naufal Abiyyu Tsarwat
Journal of Digital Technology and Computer Science Vol. 2 No. 1 (2024): November 2024
Publisher : Lontara Digitech Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61220/digitech.v2i1.20244

Abstract

The development of information technology has encouraged the transformation of public services in villages to be more efficient and transparent. This research aims to develop the Integrated Village Information and Service System (Sipandai) website to overcome administrative problems such as population data collection, correspondence, and access to information. Sipandai provides digital administration features, budget transparency, village news, and online levy payments. The system development uses the iterative and flexible Agile method, allowing for customization according to the user's needs. The results of the development show that the implementation of Agile supports the effectiveness of the system, improves the quality and speed of public services in the village, and encourages community participation in more transparent governance. Sipandai also functions as a means of community empowerment and strengthening information technology-based village governance. The test results using the Black Box and White Box methods showed a 100% success rate with no errors found in all test scenarios
Traditional Food Ordering Service Information System "ANTAR RASA" Nashifah Nurul Fajri; A. Siti Rahmawati; Ainun Mardiah; Putri Rahayu
Journal of Digital Technology and Computer Science Vol. 2 No. 1 (2024): November 2024
Publisher : Lontara Digitech Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61220/digitech.v2i1.20243

Abstract

The younger generation's interest in traditional food, partly due to limited digital promotion and accessibility, raises concerns about the preservation of Makassar's culinary heritage. This research aims to design and implement AntarRasa, a web-based food ordering information system to facilitate online access to traditional foods while strengthening local cultural identity. This study uses a qualitative descriptive-analytical method, with data collected through structured interviews and user observations, then thematically analyzed and validated to ensure its accuracy and reliability. The system was developed with features including registration, login, home, about, menu, gallery, and order, and tested using white-box and black-box verification methods. The results of the study showed that the system functions effectively, meets user needs, and provides convenience in ordering traditional food. In conclusion, AntarRasa supports the preservation and promotion of culture by integrating technology with culinary heritage and can serve as a model for similar applications in the context of other regional foods.
Task Monitoring Information System: Case Study of Task Minder Implementation in PTIK A Class Students Class 2022 Makassar State University Fauziah; Miftakhul Jannah; Amanda Putri Lestari
Journal of Digital Technology and Computer Science Vol. 2 No. 1 (2024): November 2024
Publisher : Lontara Digitech Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61220/digitech.v2i1.20242

Abstract

In the digital age, students face increasing demands to manage various academic assignments and deadlines effectively. Manual task management often leads to missed deadlines, irregularities, and reduced productivity. Therefore, a structured, easy-to-use task monitoring system is needed to support learning efficiency. This research explores Task Minder, a task monitoring system that helps individuals and organizations manage tasks in a structured manner. With user-friendly features such as account creation, task editing, status tracking, and automatic reminders, Task Minder aims to increase productivity and efficiency. A descriptive method is used to describe and analyze this system, through a whitebox approach in the creation of Software Requirements Specification (SRS) documents. Data was collected through interviews, observations, and documentation, then analyzed qualitatively using thematic analysis methods. The results show an increase in user productivity, but also identify some limitations that need to be considered for effective use. Overall, Task Minder makes a real contribution as a digital solution in academic task management, helping students organize work more efficiently, responsively, and integrated with learning needs.
Remindly: Android-Based Task Reminder App with Agile Methods to Improve Student Study Time Efficiency Artika Sari Dewi; Zahwa Aurellia Adha Maulana Syach; Anggun Nurpadila
Journal of Digital Technology and Computer Science Vol. 2 No. 1 (2024): November 2024
Publisher : Lontara Digitech Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61220/digitech.v2i1.20241

Abstract

The rapid development of digital technology demands practical solutions in time management, especially for students and students who often face difficulties in managing academic assignments. This research aims to develop the Remindly application, an Android-based task reminder application designed using the Agile method to help users systematically record, manage, and receive task notifications. The development process is carried out in three sprints, including the stages of planning, needs analysis, interface design, implementation, and testing. The app's key features include login, registration, task addition, automatic reminders, grouping tasks by status, and user profile management. The app was tested using both black-box and white-box methods, which showed that all functionality was running as planned. The Remindly application is expected to be able to improve the time efficiency, discipline, and productivity of users in daily activities, especially in the academic context.
Beautyskin: Aplikasi Web Rekomendasi Produk The Originate Berbasis Jenis Kulit Untuk Kecantikan Maksimal Chairati Chairati; Fadhil Dhanendra; Nur Awalia; Muhammad Atthariq; Devi Miftahul Jannah
Journal of Digital Technology and Computer Science Vol. 2 No. 2 (2025): Mei 2025
Publisher : Lontara Digitech Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61220/digitech.v2i2.20255

Abstract

Di zaman sekarang ini masih banyak orang yang melakukan kesalahan dalam memilih produk perawatan kulit, apalagi produk yang berbeda asal usulnya. Namun, pada penelitian ini akan membahas mengenai sebuah produk skincare terkenal yaitu the originote. Pada permasalahnya, masih banyak individu yang melakukan kesalahan dalam pemilihan produk yang sesuai dengan jenis kulit mereka. Oleh karena itu, kami menyediakan sistem informasi kecantikan kulit untuk memudahkan mencari produk asli yang sesuai dengan jenis kulit Anda. Dalam penelitian sebelumnya, menggunakan pendekatan inkremental untuk mengembangkan aplikasi dengan beberapa fase, seperti persyaratan, spesifikasi, arsitektur, desain, kode, dan pengujian. Dalam penelitian ini kami menggunakan pendekatan inkremental dengan beberapa tahapan seperti analisis kebutuhan, perancangan, pengkodean, dan pengujian sehingga diperoleh hasil yang cukup baik dan sistem dapat bekerja dengan baik. Selanjutnya pada pengujian menggunakan metode pengujian teknik basis path testing dengan menggunakan teknik path coverage, telah mendapatkan hasil yang cukup baik. Oleh karena itu, dapat kita simpulkan bahwa sistem informasi beautyskin dapat menjadi solusi efektif untuk mengetahui produk the originote mana yang cocok untuk kulit kita
Eco-Fort : Sistem Informasi Pemantauan Sampah Benteng Rotterdam Haerani Haerani; M. Rizky Kurniawan Tuhulele; Magfirah Aulia; Muh Afriliawan S
Journal of Digital Technology and Computer Science Vol. 2 No. 2 (2025): Mei 2025
Publisher : Lontara Digitech Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61220/digitech.v2i2.20254

Abstract

Pada wisata Benteng Rotterdam yang terletak di Jalan Ujung Pandang, Bulo Gading, Ujung Pandang di kota Makassar, Sulawesi Selatan, terdapat permasalahan pengelolaan dan pendataan sampah yang masih dilakukan secara manual. Hal ini menyebabkan pengunjung menjadi terbatas karena lokasi-lokasi pembuangan sampah yang kurang efektif dan efisien. Solusi untuk mengatasi masalah tersebut adalah dengan membuat sistem informasi Eco-Fort. Sistem ini dirancang untuk memberikan informasi yang jelas dan mudah diakses mengenai lokasi-lokasi tempat sampah, sehingga dapat mengurangi perilaku membuang sampah sembarangan oleh pengunjung. Eco-Fort adalah sebuah situs web yang dirancang khusus untuk pengendalian dan pemantauan sampah. Metode pengembangan sistem yang digunakan adalah Agile, karena memungkinkan pengembangan yang bertahap dan berulang. Sistem ini akan membantu dalam pengendalian, pemantauan, dan pendataan lokasi tempat sampah sehingga menjadi lebih terorganisir dan efisien. Dengan adanya Eco-Fort, diharapkan pengelolaan sampah di Benteng Rotterdam dapat ditingkatkan, memberikan pengalaman yang lebih baik bagi pengunjung, serta berkontribusi pada pelestarian lingkungan.

Page 2 of 3 | Total Record : 25

 1   2   3 

Filter by Year

2023 2025


Reset
Filter By Issues
All Issue Vol. 3 No. 1 (2025): November 2025 Vol. 2 No. 2 (2025): Mei 2025 Vol. 2 No. 1 (2024): November 2024 Vol. 1 No. 2 (2024): Mei 2024 Vol. 1 No. 1 (2023): November 2023