cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Muhammad Wali
Contact Email
muhammadwali487@gmail.com
Phone
+6285277777449
Journal Mail Official
journal@kawanad.com
Editorial Address
Jl. Teuku Nyak Arief Number: 5 Lamnyong, Kota Banda Aceh
Location
Kota banda aceh,
Aceh
INDONESIA
Journal Innovations Computer Science
Published by Yayasan Kawanad
ISSN : 29619718     EISSN : 2961970X     DOI : https://doi.org/10.56347/jics
Core Subject : Science,
Computer Science & IT
Journal Innovations Computer Science (JICS) is a peer-reviewed, twice-annually published international journal that focuses on innovative, original, previously unpublished, experimental or theoretical research concepts. Journal Innovations Computer Science (JICS) covers all areas of computer & information science, applications & systems engineering in computer & information science. JICS core vision is to be an innovation platform in information technology and computer science. Articles of interdisciplinary nature are particularly welcome. All published article URLs will have a digital object identifier (DOI).
Arjuna Subject : Ilmu Komputer (semua kategori) - Aplikasi Ilmu Komputer
Articles 72 Documents
 2   3   4   5   6 
Sistem Informasi Pemilihan Karyawan Terbaik Menggunakan Metode Simple Additive Weighting (SAW) pada Balai Pendidikan dan Pelatihan Ilmu Pelayaran BP2IP Malahayati Rahmatillah, Syaukas; Fadhli, M
Journal Innovations Computer Science Vol. 1 No. 2 (2022): November 2022
Publisher : Yayasan Kawanad

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56347/jics.v1i2.63

Abstract

The purpose of this research is to assist the Balai Pendidikan dan Pelatihan Ilmu Pelayaran (BP2IP) Malahayati to process data on the selection of the best employees to computerize the current system so that it can analyze and assist database processing activities at an even better level of effectiveness and efficiency, so that it is expected to be able to ; designing the best web-based Employee Decision Making System (DSS) Application program, the best Employee Decision Making System (DSS) system made in the form of a questionnaire with several alternatives and criteria as basic ingredients in data processing using the Simple Additive Weighting (SAW) Method, and generate reports - more detailed ranking reports, criteria, alternatives, and employees of each required data. Based on the results of the research and decision-making system using the Simple Additive Weighting (SAW) method as the selection of the best employees at the Balai Pendidikan dan Pelatihan Ilmu Pelayaran (BP2IP) Malahayati which has been carried out by the author, several conclusions can be drawn, namely; This research succeeded in creating a decision support system for evaluating the best employee selection at the Balai Pendidikan dan Pelatihan Ilmu Pelayaran (BP2IP) Malahayati, and this research succeeded in conducting alternative rankings from the results of calculating the weight of employee scores using SAW (Simple Additive Weighting).
Sistem Informasi Pelayanan Izin Penelitian pada Badan Kesbangpol Aceh Ramadhan, Rudi Singkia; Elvitriana
Journal Innovations Computer Science Vol. 1 No. 2 (2022): November 2022
Publisher : Yayasan Kawanad

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56347/jics.v1i2.64

Abstract

The purpose of this research is to assist the Aceh Kesbangpol in the research licensing service process to computerize the current system so that it can analyze and assist database processing activities at an even better level of effectiveness and efficiency, so that it is expected to be able to; designing and building a web-based research permit service information system at the Aceh Kesbangpol Agency, implementing a web-based research permit service information system with an integrated SMS Gateway, and producing more effective and efficient research permit service reports. The method used in this design is the waterfall method. Based on the results of research on the research permit service information system at the Aceh Kesbangpol Agency based on the web-based integrated SMS Gateway that has been carried out by the author, several conclusions can be drawn, namely; This research was successful in creating a web-based integrated information system research permission service with SMS Gateway. SMS Gateways.
Aplikasi Pemilihan Karyawan Terbaik pada PT. Ql Trimitra dengan Metode Analytical Hierarchy Process (AHP) Hernawan; Faizah, NM; Karo, Panser Karo
Journal Innovations Computer Science Vol. 1 No. 2 (2022): November 2022
Publisher : Yayasan Kawanad

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56347/jics.v1i2.71

Abstract

The research objectives are to design a web-based application that can help make the best employee selection report process easy and fast, design an application that can calculate normalization to determine criteria and weights according to the analytical hierarchy process (AHP) method, and design an application that can manage data -Alternative data needed for the selection of the best employees. The stages of data collection in this study consisted of 3 (three) stages namely; observation, interview, and literature study. UML (Unified Modeling Language) is used as an approach for modeling while the Analytical Hierarchy Process (AHP) method is applied in the best employee assessment application. The results of this study can facilitate the selection of the best employees to be faster with accurate results by using the best employee selection application by implementing the Analytical Hierarchy Process (AHP) method using the PHP and MySQL programming languages.
Optimasi Support Vector Mechine (SVM) Menggunakan K-Means dan K-Medoids untuk Klasterisasi Tema Tugas Akhir Patria, Gaffy
Journal Innovations Computer Science Vol. 1 No. 2 (2022): November 2022
Publisher : Yayasan Kawanad

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56347/jics.v1i2.72

Abstract

The large amount of final project document data from study programs at the Sekolah Tinggi Manajemen Informatika dan Komputer (STMIK) Abulyatama can make a major contribution to the difficulty of the process of grouping a student's final project theme. The clustering process that has been carried out manually so far has been very ineffective and inefficient, so a data mining application is needed to manage the data, especially for clustering the data. The goal to be achieved from writing this thesis is to implement the Support Vector Machine with K-Means and K-Medoids to optimize the final assignment clustering. the results of the Optimization Support Vector Machine (SVM) analysis using K-Means and K-Medoids for Grouping Student Final Project Themes can be concluded in a number of ways, namely; with the K-Means Clustering method it can be seen that there are 23 data mining, 10 networks, 26 artificial intelligence, and 21 websites, and website 11 items.
Sistem Penunjang Keputusan Penerimaan Karyawan Baru di PT. Yudita Teratai Cakti Menggunakan Metode Profile Matching Lau, Herminus; Faizah, NM; Ginting, Winton
Journal Innovations Computer Science Vol. 1 No. 2 (2022): November 2022
Publisher : Yayasan Kawanad

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56347/jics.v1i2.73

Abstract

PT. Yudita Teratai Cakti is a company that carries out the hiring process independently or does not use the services of an outsourcing company. In the process of hiring employees, usually PT. Yudita Teratai Cakti uses advertising services in print media such as newspapers and online media such as Facebook and others. In the employee recruitment process at PT. Yudita Teratai Cakti is carried out by the personnel department by selecting and selecting one by one the data of applicants who enter the selection process for prospective employees at the acceptance of new employees at PT. Yudita Teratai Cakti, with the need to apply for a job this system was built, namely carrying out a selection process for prospective employees who applied for work at PT Yudita Teratai Cakti, it is hoped that this system can carry out the selection process using the profile matching calculation method used in this study to be able to provide decision-making information New Employee Recruitment. In order for the implementation of the selection of new employees to meet the demands and expectations of the company, a correlation is needed between the preparation of the test questions and the determined test criteria so that the test results for each new employee show the potential value of each new employee on each of the specified criteria. The decision support system with the profile matching method can assist the role of management or managers in supporting PT. Yudita Teratai Cakti which has objective value with a more effective time.
Web-Based Network Anomaly Detection System for Disaster Recovery Center: A SIEM Implementation at the Indonesian Attorney General Training Agency Issenoro; Trisnawati, Herlina; Tarigan, Sakius Octavianus; Faizah, Novianti M
Journal Innovations Computer Science Vol. 4 No. 1 (2025): May
Publisher : Yayasan Kawanad

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56347/jics.v4i1.217

Abstract

This research focuses on developing an anomaly detection application for the internet network infrastructure at the Disaster Recovery Center (DRC) building of the Indonesian Attorney General's Training Agency through Security Information and Event Management (SIEM) implementation utilizing Python programming language. The primary objective of this study is to develop a comprehensive application that assists personnel, particularly network administrators at the DRC facility, in monitoring and analyzing internet network communication patterns and traffic flows. The research methodology involves creating a detection system designed to enhance network security capabilities and provide continuous monitoring functionality for network infrastructure protection. The developed application leverages SIEM technology to aggregate and process security-related information extracted from log data across network devices, applications, and hardware components. SIEM technology demonstrates the capability to handle substantial data volumes while correlating and analyzing security events from multiple heterogeneous sources within the network environment. The implementation of this application provides critical visibility into the internal network operations of the DRC facility, enabling proactive threat detection and response capabilities. When security incidents or anomalous activities are identified, the system generates comprehensive reports detailing network conditions and security status, which are subsequently escalated to management for appropriate remedial actions and strategic decision-making.
Design and Development of a Web-Based Toddler Health Card (KSB) Application: A Case Study at Posyandu Kenanga, Depok, Using the Rapid Application Development (RAD) Method Permatasari, Kharina; Nurcahyo, Widyat; Faizah, NM; Prihandayani, Tiwuk Wahyuli
Journal Innovations Computer Science Vol. 4 No. 1 (2025): May
Publisher : Yayasan Kawanad

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56347/jics.v4i1.234

Abstract

The rapid development of information technology demands digitalization across various public service sectors, including child health systems at Posyandu (Integrated Health Service Posts). Posyandu Kenanga Depok conducts monthly child health monitoring activities to ensure nutritional status and child development. However, the manual recording system for Child Health Cards (Kartu Sehat Balita/KSB) creates various operational problems. Posyandu cadres experience difficulties in data recording processes, information storage, and monthly report generation. Additionally, paper-based KSB held by parents are prone to loss and damage, resulting in poorly documented child development data. This research aims to develop a web-based KSB application to address these problems using the Rapid Application Development (RAD) methodology. The RAD method was chosen for its ability to accelerate system development processes by actively involving users in every development stage. The application was developed using PHP programming language, CodeIgniter 4 framework, MySQL database, and Visual Studio Code editor. The system is designed with three user levels: Posyandu cadres for managing child data and generating reports, parents for monitoring child development, and doctors for managing immunization and vitamin data. Development results demonstrate that the application successfully automates child data recording processes, facilitates monthly report generation, and enables parents to access child development information in real-time. The system also provides growth chart visualizations and immunization schedule reminders to support optimal child health monitoring.
Design of a Web-Based Wedding Organizer Service System Application for CV. Ruang Event in Bandar Lampung Using the Waterfall Method Lalo, Oktavianus; Karo-Karo, Panser; Faizah, NM
Journal Innovations Computer Science Vol. 4 No. 1 (2025): May
Publisher : Yayasan Kawanad

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56347/jics.v4i1.237

Abstract

Marriage represents a sacred milestone requiring meticulous preparation from every couple. CV. Ruang Event, a wedding organizer service provider in Bandar Lampung, faces significant operational challenges due to outdated manual systems. Primary issues include unstructured client documentation, fragmented transaction data storage, and time-consuming report generation prone to human error. These conditions result in data inaccuracy, delayed information retrieval, and deteriorating customer service quality. The research aims to develop a web-based information system to optimize CV. Ruang Event's business processes using the Waterfall methodology. Development phases encompass system requirement analysis, database and interface design, implementation using PHP and MySQL, and functional testing. The research produces a web application facilitating online wedding organizer package bookings, event schedule management, digital payment systems, and automated reporting. Core features include package catalogs (Silver, Gold, Diamond/Platinum) priced from IDR 3,500,000 to IDR 38,000,000, booking calendars, payment confirmations, and administrative dashboards. Testing demonstrates 60% operational efficiency improvement, 85% reduction in recording errors, and enhanced customer satisfaction through improved information accessibility. The system successfully integrates entire business processes from booking to reporting, delivering a complete solution for wedding organizer service digitalization.
Analysis of Deep Learning Method Development for Performance Optimization of Complex Data Classification Models Hanggoro, Dimas Banu Dwi
Journal Innovations Computer Science Vol. 4 No. 1 (2025): May
Publisher : Yayasan Kawanad

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56347/jics.v4i1.242

Abstract

This study aims to analyze the development of deep learning methods for optimizing complex data classification model performance through a Systematic Literature Review (SLR) approach examining 25 Scopus-indexed scientific articles published between 2024 and 2025. The analysis employs bibliometric techniques using VOSviewer to map keyword networks, temporal trends, and term density patterns. Visualization results identify three primary clusters: (1) LSTM-based classification and intrusion detection systems in cybersecurity applications; (2) CNN optimization and model efficiency for medical imaging and satellite image classification; and (3) artificial intelligence integration with visual classification and evolutionary optimization algorithms. Recent trends demonstrate the dominance of keywords such as "optimization," "effectiveness," and "feature selection," alongside growing interest in hybrid approaches and metaheuristic algorithms. This research provides a comprehensive overview of methodological transformations and application directions of deep learning in complex data classification domains. These findings are expected to serve as strategic references for advancing research and applications in big data-driven artificial intelligence technologies.
Market Segmentation for Local Product Marketing Strategy Using K-Means and Dempster-Shafer Algorithm Implementation Hendrawan, Satya Arisena; Yusnitasari, Tristyanti; Oswari, Teddy
Journal Innovations Computer Science Vol. 4 No. 1 (2025): May
Publisher : Yayasan Kawanad

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56347/jics.v4i1.244

Abstract

Market segmentation represents a critical challenge in local product marketing, particularly when addressing complex consumer behavior patterns and uncertain classification environments in today's digital economy. This research develops and validates a hybrid model integrating K-Means Clustering with Dempster-Shafer theory to enhance segmentation accuracy and reliability for local product markets. The K-Means algorithm groups consumers based on demographic, psychographic, and behavioral characteristics, while Dempster-Shafer theory quantifies uncertainty and provides confidence measures for segment assignments. Data collection involved comprehensive consumer surveys and transaction records from 2,847 participants across multiple local product categories over a 12-month period. The hybrid model achieved superior performance with 87.5% accuracy, 85.3% precision, 86.1% recall, and 85.7% F1-score, representing improvements of 5.4% over standard K-Means and 8.2% over hierarchical clustering methods. Four distinct market segments were identified: Young Urban Professionals (28%), Value-Conscious Families (35%), Traditional Loyalists (22%), and Digital Natives (15%), each exhibiting unique purchasing patterns, digital engagement levels, and price sensitivity characteristics. Cross-validation yielded a consistency score of 0.91 with segment stability demonstrated through 8.3% churn rate and conflict measure K = 0.12, indicating substantial agreement among evidence sources. The methodology successfully addresses uncertainty in consumer classification while providing actionable insights for targeted marketing strategies, pricing optimization, and customer retention programs. Local product marketers can implement this framework to develop evidence-based marketing approaches that accommodate both traditional and digital consumer preferences, enabling competitive positioning in increasingly complex market environments. The research establishes a scalable and practical solution for small to medium enterprises seeking sophisticated market analysis capabilities without requiring extensive computational infrastructure or technical expertise.

Page 4 of 8 | Total Record : 72

 2   3   4   5   6 

Filter by Year

2022 2025


Reset
Filter By Issues
All Issue Vol. 4 No. 2 (2025): November Vol. 4 No. 1 (2025): May Vol. 3 No. 1 (2024): May 2024 Vol. 3 No. 2 (2024): November Vol. 2 No. 2 (2023): November 2023 Vol. 2 No. 1 (2023): May 2023 Vol. 1 No. 2 (2022): November 2022 Vol. 1 No. 1 (2022): May 2022