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All Journal Jupiter CESS (Journal of Computer Engineering, System and Science) International Journal of Artificial Intelligence Research Journal of Computer and Information Systems Ampera Journal of Software Engineering Ampera Computer Journal Journal Digital Technology Trend Teknik: Jurnal Teknik Mesin, Elektro dan Ilmu Komputer
Alex Wijaya
Universitas Bina Darma
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Industrial & Manufacturing Engineering Library & Information Science

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Visualisasi Data Kependudukan Pada Dinas Kependudukan Dan Pencatatan Sipil Kabupaten Musi Banyuasin Rica Damayanti Putri; Alex Wijaya
Journal of Computer and Information Systems Ampera Vol. 1 No. 3 (2020): Journal of Computer and Information Systems Ampera
Publisher : APTIKOM SUMSEL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalcisa.v1i3.42

Abstract

Population data from the Department of Population and Civil Registration can be used by other agencies according to the needs of that agency. The Department of Population and Civil Registration uses SIAK (Sistem Informasi Administrasi Kependudukan /Population Administration Information System) for its service processes, the SIAK application is an application made by the Director General of Department of Population and Civil Registration of the Ministry of Home Affairs. The SIAK application still has limited features for operators in the District, for this reason the SIDAK application was created for the utilization of population data in Musi Banyuasin Regency. In this SIDAK application, there is no feature available for visualizing graphical data so that the desired data can be easily analyzed in aggregate data. For the data visualization, the authors took the data from the SIAK database conversion to the SIDAK application. The data taken is the aggregate data on the number of populations, mandatory ID card, birth, death, move, arrival, occupation, religion, education, blood group, marital status, persons with disabilities, age groups. Therefore, we need a tool that capable of visualizing population data using a website in the form of a dashboard system at the Department of Population and Civil Registration. This population data visualization system development uses the Extreme Programming method
Klasifikasi Gejala Penyakit Coronavirus Disease 19 (COVID-19) Menggunakan Machine Learning Suci Anggraini; Muhamad Akbar; Alex Wijaya; Hadi Syaputra; Muhammad Sobri
Journal of Software Engineering Ampera Vol. 2 No. 1 (2021): Journal of Software Engineering Ampera
Publisher : APTIKOM SUMSEL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalsea.v2i1.105

Abstract

Coronavirus Disease 19 (COVID-19) merupakan virus baru yang menyebabkan infeksi saluran pernapasan. Virus ini berasal dari hewan yang dapat menular pada manusia dengan percikan air liur. Menurut data epidemiologi rata-rata pasien terjangkit virus ini berusia 15-80 tahun. Virus ini memiliki masa inkubasi 2-14 hari yang mempunyai gejala awal yaitu deman tinggi, sesak nafas, batuk pilek. Indonesia memiliki 2 kasus pertama pada 2 maret 2020. Permasalahan yang diangkat dalam penelitian ini adalah bagaimana mengklasifikasi resiko terjangkit virus covid-19 dari gejala yang ditimbulkan. Tujuan penelitian ini untuk mengetahui tingkat resiko terjangkit virus covid-19 berdasarkan instrumen yang digunakan dari metode Knowledge Discovery in Database yang terdiri dari 5 tahapan yaitu selection, pre-processing, transformation, data mining, dan evaluation. Dataset yang digunakan peneliti diambil dari web resmi kaggle.com. Penelitian ini menggunakan 4 (empat) algoritma yaitu K-Nearest Neighbor (K-NN), Neural Network (NN), Random Forest (RF), dan Naive Bayes dengan bantuan tool rapidminer. Values dataset antara lain tingkat rendah 25,98%, tingkat sedang 54,33%, dan tingkat tinggi 19,69%. Nilai akurasi pada dataset dengan 127 data pasien terjangkit covid-19 menggunakan algoritma k-nearest neighbor memperoleh 57,89%, neural network memperoleh 73,68%, random forest memperoleh 68,42%, naive bayes memperoleh 65,38%. Pada penelitian ini algoritma klasifikasi Neural Network memberikan nilai akurasi yang tertinggi.
Pendekatan Model Ui Ux Aplikasi Mobile Penjualan Pada Toko Bandoeng Fasion Memanfaatkan Figma Fauzan Muhamad Nur; Alex Wijaya
JUPITER (Jurnal Penelitian Ilmu dan Teknologi Komputer) Vol 15 No 1c (2023): Jupiter Edisi April 2023
Publisher : Teknik Komputer Politeknik Negeri Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281./5692/15.jupiter.2023.04

Abstract

Instagram social media is used by Bandoeng Fasion as a medium to market products and aims to make it easier for consumers or potential buyers to find information about the products to be purchased and also aims to facilitate transactions. Product posts and the number of followers, are one of the indicators that can influence a consumer's trust and buying interest. The purpose of this study was to design an attractive, easy-to-use design and modern UI/UX for analytics applications for Bandoeng Fasion. So that it can increase engagement which has an impact on increasing trust and buying interest in consumers. The data needed in designing the UI / UX design was obtained by conducting a direct interview with the owner, namely Raniti. In designing this UI/UX, This, the editing software used is Figma. Figma is a web-based application for designing UI and UX that can use it for the creation of an application or web and its various user interface components With this research, it is hoped that it can make it easier for Bandoeng Fasion to design mobile-based applications
Designing a User Interface and User Experience for the Quiz Application Seberapo Palembang Kamu Using a User Centered Design (UCD) Approach Rasmila Rasmila; Andri Ramadoni; Alex Wijaya; Siti Sauda
CESS (Journal of Computer Engineering, System and Science) Vol 8, No 2 (2023): July 2023
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/cess.v8i2.45038

Abstract

Pengenalan terhadap budaya Kota Palembang seharusnya sudah diperkenalkan saat masih menginjak masa kanak-kanak, yang merupakan masa pembelajaran tentang kehidupan di sekitarnya dan diharapkan generasi penerus dapat memahami dan menghargai warisan budaya tersebut sehingga budaya Palembang dapat terus hidup dan terjaga kelestariannya di masa depan, kurangnya kesadaran tentang budaya asli Kota Palembang di kalangan remaja maupun anak-anak sejak usia dini, disebabkan oleh pengaruh budaya luar yang menawarkan konten dan teknologi yang lebih menarik. Hal ini memberikan ide kepada penulis yaitu bagaimana membuat sebuah media yang dapat menarik minat masyarakat untuk mengenal kebudayaan daerah Kota Palembang salah satunya dapat memanfaatkan aplikasi mobile dengan pendekatan user interface user experience sebagai dasar untuk menentukan alur dan fungsionalitas aplikasi kuis yang berisikan konten sejarah, kebudayaan, ciri khas terhadap Kota Palembang. Tujuan dari penelitian ini adalah memperoleh desain antarmuka Kuis Seberapo Palembang Kamu, penelitian ini menggunakan metode User Centered Design (UCD) yang fokus pada aspek antarmuka dan pengalaman pengguna. UCD terdiri dari empat tahapan yaitu Understand context of use, Specify User Requirements, Design Solution, dan Evaluate design against user requirement. Setelah tahapan ini diselesaikan, aplikasi dirancang sesuai dengan kebutuhan pengguna dan diuji menggunakan kuesioner untuk mengevaluasi hasil desain. Hasil penelitian menunjukkan bahwa aplikasi mobile Kuis Seberapo Palembang Kamu telah berhasil dirancang dan divalidasi oleh calon pengguna.Introduction to the culture of Palembang City should have been introduced while still in childhood, which is a period of learning about life around it and it is hoped that the next generation can understand and appreciate this cultural heritage so that Palembang culture can continue to live and maintain its sustainability in the future, lack of awareness about the original culture of Palembang City among teenagers and children from an early age, due to outside cultural influences that offer more interesting content and technology. This gives the author an idea, namely how to create a media that can attract people's interest in getting to know Palembang's regional culture, one of which can be utilizing a mobile application with a user interface user experience approach as a basis for determining the flow and functionality of a quiz application that contains historical, cultural, feature content. unique to the city of Palembang. The purpose of this study was to obtain an interface design for the Seberapo Palembang Kamu Quiz, this study used the User Centered Design (UCD) method which focuses on aspects of the interface and user experience. UCD consists of four stages, namely Understand context of use, Specify User Requirements, Design Solution, and Evaluate design against user requirements. After these stages are completed, the application is designed according to user requirements and tested using a questionnaire to evaluate the design results. The results of the study show that the Kuis Seberapo Palembang Kamus mobile application has been successfully designed and validated by prospective users.
Optimalisasi dan Evaluasi Jaringan Fiber Optik di Permukiman Desa Ando Mulia Agung Hutabarat; Alex Wijaya; Timur Dali Purwanto
Journal of Computer and Information Systems Ampera Vol. 6 No. 1 (2025): Journal of Computer and Information Systems Ampera
Publisher : APTIKOM SUMSEL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalcisa.v6i1.483

Abstract

The rapid advancement of information and communication technology has significantly influenced business activities, particularly in rural areas. However, Desa Tanah Abang Utara remains categorized as a blank spot, where mobile communication services such as Global System for Mobile Communications (GSM) and other providers are not optimally available. This condition hampers internet access, limiting local businesses in utilizing digital platforms for marketing and sales. This study aims to implement a fiber optic (FO) network in Desa Tanah Abang Utara as a solution to improve internet connectivity. The research employs the Action Research method, which consists of five stages: diagnosing, action planning, action taking, evaluating, and learning. The installation process involves configuring routers, VLAN settings on switches, FO cable installation, and Optical Line Terminal (OLT) deployment. Network performance is evaluated using Wireshark software to measure key parameters such as throughput, latency, and packet loss. The results show that the implemented FO network significantly enhances internet access reliability, providing a stable and high-speed connection for the community. This improvement enables local businesses to leverage digital platforms for business expansion and enhances overall socio-economic development. The study highlights the importance of fiber optic networks in overcoming digital disparities in rural areas and serves as a reference for policymakers in developing telecommunications infrastructure in underserved regions.
Ticket Reservation System Design with Web-Based Tata Sutabri; Alex Wijaya; Iin Seprina; Rahayu Amalia
International Journal of Artificial Intelligence Research Vol 6, No 1.1 (2022)
Publisher : Universitas Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v6i1.1.486

Abstract

At this time, the use of internet services as a means to obtain information is increasingly being used. Because of its broad reach and easy access to the internet, it is ideal when used as a means of promotion and means to publish information. Although the internet has a negative impact, the positive impact is given more and is very helpful for anyone who uses it. This ticket booking program aims to solve customers’ problems, such as during ticket ordering and looking for information about tickets or other things. Such as helping all customers whose access to ticketing counters is constrained by distance and time, facilitating customers and ticket sellers in the buying and selling process, promoting the company, and providing services to customers regarding online and on-time ticket bookings. The internet is a very potent medium for developing a dynamic and wide-scale information system; with the internet, information about anything can be obtained easily and quickly and can be accessed via smartphones or laptops that are widely used in the current era. Based on the various conveniences and functionalities possessed by the internet, a "Design of a Bus Ticket Reservation System was developed. On-Line and On-Time Ticket Booking System. This web-based software is made with PHP, MySQL, and Macromedia Dreamweaver version 8. This information system is designed to provide convenience in terms of ticket booking services and obtain other information needed by customers in a short and efficient time, such as available departure schedules, the type of vehicle to the kind of route provided, and other information required by the customer.
Perancangan Kebutuhan Sistem Menggunakan Product Requirement Document (PRD) pada Pengembangan Sistem Informasi Wisma Berbasis Website Menggunakan Metode Agile Nabila Ade Mutmaina; Alex Wijaya
Jurnal Teknik Mesin, Elektro dan Ilmu Komputer Vol. 6 No. 2 (2026): Juli : Jurnal Teknik Mesin, Elektro dan Ilmu Komputer
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/teknik.v6i2.11978

Abstract

The rapid development of information technology has encouraged organizations to improve the efficiency of data management and business processes through the implementation of web-based information systems. Manual management of guest house operations often leads to various issues, including reservation recording errors, inaccurate room availability information, and delays in generating operational and financial reports. Therefore, a well-structured system requirements design is needed as a foundation for software development. This study aims to design the requirements of a web-based Guest House Information System using a Product Requirement Document (PRD) with an Agile approach. The research methodology includes user requirement identification, business process analysis, user story development, functional and non-functional requirement specification, as well as product backlog and sprint planning preparation. The result of this study is a PRD that contains the product vision, stakeholders, user stories, system requirements, use case diagrams, activity diagrams, and feature development priorities based on Agile principles. The resulting PRD serves as a guideline for the system development process, reducing requirement misinterpretation, improving communication between stakeholders and developers, and ensuring that the developed system aligns with user needs. Through a structured requirements design process, the development of the Guest House Information System is expected to be more effective, efficient, and adaptable to changing requirements.
Pemetaan Wilayah di Kota Palembang untuk Memprioritaskan Penyaluran Bantuan Sosial Menggunakan Algoritma K-Means Clustering M. Syahril M. Syahril; Devi Udariansyah; Alex Wijaya
Computer Journal Vol. 5 No. 1 (2027): February
Publisher : Yayasan Pendidikan Mitra Mandiri Aceh (YPMMA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58477/cj.v5i1.520

Abstract

Poverty remains a multidimensional social issue in Palembang City, where the poor population reached 10.22% in 2023. The distribution of social assistance often faces challenges such as data inaccuracies, uneven distribution, and subjective decision-making processes. This study aims to apply the K-Means Clustering algorithm to map 18 sub-districts in Palembang City into priority zones for social assistance distribution based on seven socio-economic indicators. The dataset includes poor population, unemployment rate, average income, population density, public facility access score, number of social assistance recipient households, and the Human Development Index (HDI). Data preprocessing was performed using Min-Max Normalization, followed by the calculation of the Composite Vulnerability Index (CVI). Model evaluation using the Elbow Method, Silhouette Score (0.45–0.55), and Davies–Bouldin Index confirmed K=3 as the optimal number of clusters. The resulting clusters categorize the sub-districts into high priority (emergency, e.g., Kertapati, Gandus, and Seberang Ulu I), medium priority (alert, e.g., Plaju, Sukarami, and Sako), and low priority (independent, e.g., Ilir Timur I, Bukit Kecil, and Alang-Alang Lebar). In addition, a Decision Support System (DSS) simulator was implemented based on the clustering and CVI results to provide data-driven budget and quota allocation recommendations.
Perbandingan Kinerja Algoritma Decision Tree dan Naive Bayes dalam Klasifikasi Risiko Diabetes Menggunakan Dataset Pima Indians Diabetes Berdasarkan Nilai Akurasi dan Confusion Matrix Destry Widiani Nurul Ummi; Alex Wijaya; Rezania Agramanisti Azdy
Journal Digital Technology Trend Vol. 5 No. 2 (2026): December
Publisher : Yayasan Kawanad

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56347/jdtt.v5i2.473

Abstract

This study compares the performance of Decision Tree and Naive Bayes algorithms in classifying diabetes mellitus risk using the Pima Indians Diabetes Dataset (768 female patient medical records, 8 predictor attributes) without additional optimization techniques. The methodology includes data preprocessing, data splitting (80% training and 20% testing ratio), model construction, and evaluation based on accuracy, confusion matrix, and classification report, reinforced by Stratified 5-Fold Cross Validation. Hold-Out Validation results show that Decision Tree achieved an accuracy of 83.77%, while Naive Bayes achieved 76.62%. In Stratified 5-Fold Cross Validation, Decision Tree recorded an average accuracy of 85.56% (std: 0.0339), whereas Naive Bayes achieved 75.77% (std: 0.0492). Confusion matrix and classification report evaluations further confirm the superiority of Decision Tree across precision, recall, and f1-score metrics. In conclusion, the Decision Tree algorithm delivers superior and more stable performance compared to Naive Bayes in diabetes risk classification.
Co-Authors Amalia , Rahayu Ando Mulia Agung Hutabarat Andri Ramadoni deri Destry Widiani Nurul Ummi Devi Udariansyah Fauzan Muhamad Nur Hadi Syaputra Hadi Syaputra Iin Seprina M. Syahril M. Syahril Muhamad Akbar Muhammad Sobri Nabila Ade Mutmaina R.M. Nasrul Halim Rasmila Rezania Agramanisti Azdy Rica Damayanti Putri Siti Sauda Suci Anggraini Tata Sutabri Timur Dali Purwanto