Journal of Informatic and Information Security
The Journal of Informatics and Information Security (JIFORTY) is a scientific journal managed by the Research, Community Service, and Publication Institute (LPPMP) of Universitas Bhayangkara Jakarta Raya and published by the Informatics Engineering Study Program, Faculty of Engineering, Universitas Bhayangkara Jakarta Raya. This journal contains scientific works resulting from research in the field of computer science with themes such as: Artificial Intelligence, Blockchain Technology, Business Intelligence, Cloud Computing, Computer Architecture, Computer Vision, Database Systems, Deep Learning, Human-Computer Interaction, Digital Forensics, Internet of Things, IT Security, Machine Learning, Networking, Semantic Web, Distributed Systems, Systems Engineering, Wireless Networks. The journal is published twice a year (even semester in June and odd semester in December). E-ISSN: 2722-4058 was first published in June 2020 with ISSN Decree: 0005.27224058/Jl.3.1/SK.ISSN/2020.06 (June 2, 2020).
Program Studi Informatika, Fakultas Ilmu Komputer Universitas Bhayangkara Jakarta Raya
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Pengembangan Aplikasi Mobile Dengan Metode Extreme Programming Untuk Melayani Keluhan Penyewa Kios Mall XYZ
The purpose of technology is to make job and communal needs easier. requests and grievances from XYZ Mall kiosk tenants. Tenants of kiosks can submit requests and grievances more easily with a mobile application.The goal of this study is to create a mobile application that will make it easier for kiosk renters to file complaints and requests, and for the mall to carry out their demands. Extreme Programming (EP) is the technique employed. This approach focuses on the demands of the user in order to improve the quality of software. The outcome of this study is a mobile application that uses the Extreme Programming (EP) technique to make it easier for kiosk renters to submit requests and for the mall to carry them out.
: request submission; XP; application; mobile; complaints; kiosk tenants
Copyright (c) 2026 Kusdarnowo Hantoro, Herald https://creativecommons.org/licenses/by/4.0
Studi Klasifikasi Presisi Kesesuaian Lahan Pertanian Menggunakan Algoritma Extreme Gradient Boosting (XGBoost)
The application of artificial intelligence technology in the agricultural sector is the main foundation in the paradigm shift towards sustainable precision agriculture. This study presents a comprehensive analysis of the application of the Extreme Gradient Boosting (XGBoost) algorithm to predict the suitability of crop types based on soil chemical characteristics and macro-environmental conditions. Model evaluation was conducted using the benchmark dataset Crop Recommendation Dataset accessed through the Kaggle platform. This dataset has a perfect class balance with a total of 2,200 samples evenly divided into 22 agricultural commodities. The developed predictive model evaluates seven soil and climate biophysical parameters, namely nitrogen, phosphorus, potassium, air temperature, relative humidity, soil acidity (pH), and rainfall intensity. The test results show that the XGBoost algorithm ranks top in classification accuracy with values ​​ranging from 99.31% to 99.77%, surpassing other ensemble algorithms such as Random Forest as well as traditional models such as Decision Tree and Naive Bayes. Feature contribution analysis demonstrates that climate parameters (rainfall and humidity) act as primary ecological filters at the macro-level, while soil macronutrient (NPK) ratios serve as secondary determinants at the crop-specific micro-level. Overall, this boosting-based ensemble approach offers high accuracy and robustness to data outliers, making it a highly reliable agronomic decision-making tool for supporting sustainable land productivity.
Copyright (c) 2026 Gunawan, Allan Desi Alexander (Author) https://creativecommons.org/licenses/by/4.0
Analisis Klasterisasi Pelanggan Layanan Pijat Menggunakan Algoritma K-Means Clustering Pada Griya Sehat Faza Depok
Customer segmentation is a crucial element in strengthening data-driven marketing strategies, especially for Micro, Small, and Medium Enterprises (MSMEs) operating in the service sector. Customer data management at Griya Sehat Faza Depok is still conducted conventionally without adopting an analytical approach to identify consumer profiles. This limitation hinders the optimization of marketing strategies and efforts to maintain customer loyalty. This study groups home massage service customers using the K-Means Clustering algorithm. The CRISP-DM (Cross Industry Standard Process for Data Mining) framework, which includes business understanding, data understanding, data preparation, modeling, evaluation, and deployment, is used in this study. Customer transaction data from January to December 2025 serves as the dataset for analysis. Five variables are used in the clustering process: visit frequency, treatment type, total expenditure, service duration, and transportation costs representing customer distance. Data preprocessing stages include data cleaning, categorical data encoding, aggregation, and normalization using the Min-Max method. The optimal number of clusters is determined using the Elbow Method, while the quality of clustering results is evaluated using the Davies-Bouldin Index (DBI). The analysis results show the formation of four customer groups with a DBI value of 0.647, indicating good clustering quality. Each group exhibits distinct behavioral characteristics, enabling the identification of high-value customers, loyal customers, regular customers, and low-value customers. These findings offer practical recommendations for developing targeted marketing strategies, improving customer retention, and supporting more efficient therapist allocation at Griya Sehat Faza Depok.
Customer Segmentation, K-Means Clustering, CRISP-DM, Customer Analytics, Davies-Bouldin Index
Copyright (c) 2026 Wildanul Jannah, Adi Muhajirin, Rafika Sari https://creativecommons.org/licenses/by/4.0
Sistem Informasi Monitoring Kolektibilitas dan Manajemen Penagihan Piutang Koperasi Berbasis Web
This research was motivated by the conventional receivable management process at Koperasi Konsumen Serba Usaha Desa Bersinar. The use of basic spreadsheet software for payment recording led to limitations in the real-time monitoring of members' collectability status and the absence of an early warning system for late payments, which hampered the cooperative's cash flow. The objective of this study was to design and develop a web-based information system for collectability monitoring and debt collection management. The system development employed the Waterfall method and Model-View-Controller (MVC) architecture, utilizing PHP and MySQL. The novelty of this system lies in the implementation of an automated classification function for five levels of collectability status (Current, Special Mention, Substandard, Doubtful, and Loss) by utilizing conditional logic and date manipulation based on the calculation of days past due (DPD). The functional testing results using the Black Box Testing method indicated that all application features operated in accordance with user requirement specifications. The implementation of this system assisted the cooperative in automating receivable risk monitoring and provided a technological blueprint to prevent the risk of non-performing loans in similar institutions.
cooperative, collectability monitoring, collection management, conditional logic, date manipulation
Copyright (c) 2026 Mochammad Guntur Ramadhan, Dani Yusuf, Dwi Budi Srisulistiowati https://creativecommons.org/licenses/by/4.0
Analisis Perbandingan MobileNetV2 dan ResNet50 Berbasis Transfer Learning untuk Klasifikasi Citra dan Implementasi Text-to-Speech
Visual impairment limits the ability of people with blindness to recognize surrounding objects, creating the need for artificial intelligence-based assistive technology. This study compared the performance of MobileNetV2 and ResNet50 based on Transfer Learning for image classification and implemented the best web-based model integrated with Text-to-Speech. The research employed the Cross-Industry Standard Process for Data Mining methodology using the CIFAR 100 dataset. The results showed that ResNet50 achieved the highest accuracy of 79.95%, while MobileNetV2 demonstrated better computational efficiency. ResNet50 was successfully implemented in a web application capable of recognizing objects from external images and delivering the classification results through speech output.
Transfer Learning, MobileNetV2, ResNet50, Image Classification, Text-to-Speech
Copyright (c) 2026 Mega Gloria, Mujiono Sadikin, Khairunnisa Fadhilla Ramdhania https://creativecommons.org/licenses/by/4.0
Sistem Prediksi Permintaan Barang Berat dengan Memanfaatkan Data Historis Penjualan Menggunakan Long Short-Term Memory (LSTM)TERM MEMORY (LSTM)
Inventory management is an important aspect in maintaining the effectiveness of business operations, particularly in building material stores where demand fluctuations can affect stock availability. Inaccurate inventory planning may lead to overstock or stockout conditions, resulting in increased operational costs and reduced customer satisfaction. This study aims to develop a demand forecasting system for building materials using the Long Short-Term Memory (LSTM) method based on historical sales data at Toko Bangunan Beu Sukses. The dataset used consists of daily sales data from January 2024 to October 2025 covering six products, namely steel, cement, paint, pipes, zinc roofing, and plywood. Data preprocessing was performed through logarithmic transformation, differencing, normalization using MinMaxScaler, and sequence formation using the sliding window method. The LSTM model was trained and evaluated using Mean Absolute Error (MAE), Root Mean Squared Error (RMSE), and Mean Absolute Percentage Error (MAPE). The evaluation results indicate that the proposed model achieved a high level of forecasting accuracy, with all products obtaining MAPE values below 2%. Furthermore, the developed model was successfully integrated into a web-based application to support inventory management and decision-making processes. The results demonstrate that the LSTM method can effectively predict building material demand and support more efficient inventory management.
Building Material, Demand Forecasting, Inventory Management, Historical Sales Data ,Long Short-Term Memory
Copyright (c) 2026 Ginda Maruli Andi Siregar, Khairul Anam, Saiyaratul Mawaddah https://creativecommons.org/licenses/by/4.0
Sistem Administrasi dan Pelayanan Warga Berbasis Web dengan Algoritma Queue di RW 10 Rawabugel Kota Bekasi
The administrative and community service processes in RW 10 Rawabugel, Bekasi City, are still carried out manually, resulting in delays in service, long queues, and difficulties in managing community data and archives. Therefore, a system is needed to improve the efficiency and quality of service. This study aims to design and develop a web-based administrative and community service system by applying the Queue algorithm using the First Come First Served (FCFS) method. This system allows residents to submit service requests online and monitor the status of their requests in real time, while RW officials can manage data and archives in a structured and computerized manner. The use of the Queue algorithm serves to automatically and fairly arrange the order of services based on the time of submission. The results of the study show that the developed system has succeeded in increasing service efficiency, reducing queue backlogs, and facilitating the management of resident administrative data. This system is expected to be a solution in improving the quality of administrative services in the RW environment.
Information Systems, Citizen Services, Administration, Queue Algorithms, FCFS, Web-based.
Copyright (c) 2026 wahyu syafriadi, Achmad Noeman , Mayadi https://creativecommons.org/licenses/by/4.0
Implementasi Forward Chaining pada Sistem Pakar Diagnosa Kerusakan Laptop Berbasis Web: Studi Kasus Layanan Servis Laptop
Laptop damage diagnosis at PT Tsurtech Solution is currently carried out manually, which can take more time and requires the technician's experience to identify problems accurately. This research aims to design and implement a web-based expert system to assist in diagnosing laptop damage based on symptoms inputted by users. The system is developed using the Forward Chaining algorithm, a data-driven reasoning method that matches facts (symptoms) with a set of predefined rules to conclude the type of damage. The system is built using the Waterfall development method, assisted by UML diagrams, and implemented with PHP programming language and MySQL database. Blackbox Testing is used to evaluate the system’s functionality. The results show that the system can be used as a supporting tool to help both users and technicians perform initial laptop damage diagnosis more quickly and efficiently.
Expert System, Damage Diagnosis, Laptop, Forward Chaining, Website
Copyright (c) 2026 Dimas Permadi, Dwipa Handayani, Prio Kustanto, Muhammad Yasir, Achmad Noeman, Agus Hidayat https://creativecommons.org/licenses/by/4.0
Perancangan Platform Internet of Things sebagai Sistem Komunikasi Dua Arah untuk Pemantauan pH Air
Water quality monitoring is a critical component in ensuring environmental sustainability and public health. The degree of acidity (pH) is one of the key parameters used to assess water quality, as it directly affects the suitability of water for domestic and industrial applications. Conventional water pH measurement systems are typically local and rely on manual data recording, resulting in limited data accessibility, susceptibility to human error, and the absence of structured historical records. This study presents the design of an Internet of Things (IoT) platform as a two-way communication system between water pH sensing hardware and a cloud-based digital platform. The proposed system consists of a pH sensor, a network-enabled microcontroller, a cloud platform for centralized data management, and a web-based dashboard as the user interface. Two-way communication enables the system not only to transmit real-time measurement data but also to receive configuration commands from users. Experimental results indicate that the proposed IoT platform improves the efficiency of water pH monitoring, reduces reliance on manual data recording, and provides structured historical data to support long-term analysis.
Water quality monitoring, Water pH, Internet of Things (IoT), Two-way communication system, pH sensor
Copyright (c) 2026 Joniwarta, Prio Kustanto, Ridwan (Author) https://creativecommons.org/licenses/by/4.0
Studi Perbandingan Model Keamanan Data pada Cloud Computing
Layanan komputasi awan (cloud computing) telah menjadi tulang punggung transformasi digital global, menawarkan skalabilitas, efisiensi biaya, dan fleksibilitas yang belum pernah ada sebelumnya. Namun, perpindahan data dari infrastruktur lokal ke lingkungan pihak ketiga yang bersifat multi-tenant menimbulkan kekhawatiran serius terhadap keamanan dan privasi data. Laporan penelitian ini menyajikan analisis komprehensif mengenai perbandingan model keamanan data dalam ekosistem cloud, mencakup aspek kriptografi, mekanisme kontrol akses, dan strategi manajemen risiko. Melalui tinjauan literatur sistematis terhadap studi yang terindeks Scopus dan SINTA antara tahun 2013 hingga 2025, penelitian ini mengevaluasi kinerja algoritma enkripsi seperti AES, RSA, dan ECC, serta membandingkan efektivitas model Role-Based Access Control (RBAC) dan Attribute-Based Access Control (ABAC). Temuan utama menunjukkan bahwa algoritma simetris seperti AES unggul dalam kecepatan dan efisiensi memori untuk data massal, sementara model asimetris seperti RSA lebih optimal untuk manajemen kunci. Dalam hal kontrol akses, ABAC menawarkan fleksibilitas yang lebih tinggi untuk lingkungan dinamis dibandingkan RBAC yang bersifat statis, meskipun memiliki kompleksitas implementasi yang lebih besar. Penelitian ini juga menyoroti peran teknologi mutakhir seperti blockchain, machine learning, dan federated learning dalam memperkuat postur keamanan cloud serta memberikan kerangka kerja manajemen risiko bagi organisasi yang melakukan migrasi data..
Copyright (c) 2026 Allan Desi Alexander https://creativecommons.org/licenses/by/4.0
Pengaruh Penggunaan Firewall Generasi Terbaru (NGFW) terhadap Tingkat Keamanan Jaringan di Koperasi Sekolah Bina Mulia (KSBM)
The rapid development of information technology has encouraged cooperatives to manage network and customer data digitally. Bina Mulia School Cooperative (KSBM) is one such cooperative that has intensive network activities, including savings and loan services and the sale of office supplies. The increase in traffic and variety of cyber threats such as malware, phishing, ransomware, as well as application-based attacks, has made traditional firewalls insufficient. Next-Generation Firewalls (NGFW) have emerged as a solution with capabilities such as deep packet inspection, intrusion detection, application control, and threat intelligence integration. This study aims to analyze the impact of using NGFW on the network security level at KSBM. The research uses a quantitative approach with a survey method involving 50 respondents from the IT unit, administrative staff, teachers, and students who use the cooperative's network services. The data were analyzed using simple linear regression to examine the effect of variable X (implementation of NGFW) on variable Y (network security level). The study results showed that the use of NGFW has a positive and significant impact on network security, with an R value of 0.812 and an R² value of 0.660. This indicates that 66% of the improvement in network security is influenced by the quality of NGFW implementation. Thus, NGFW has been proven to enhance threat detection, prevent attacks, and reduce the risk of data breaches at Bina Mulia School Cooperative (KSBM).
Firewall, NGFW, Network Security, KSBM, Quantitative
Copyright (c) 2026 Asep Ramdhani Mahbub, Dwi Budi Srisulistiowati https://creativecommons.org/licenses/by/4.0
Penerapan Keamanan AES-256 Pada Sistem Kehadiran Karyawan Berbasis Kordinat
The development of information technology has encouraged the implementation of coordinate-based employee attendance systems to improve accuracy and minimize fraud in attendance recording. However, this system poses security risks to sensitive data, such as employee identities, attendance timestamps, and location coordinates. Therefore, a reliable data security mechanism is required. This study aims to implement the Advanced Encryption Standard (AES) algorithm with a 256-bit key length in a coordinate-based employee attendance system to enhance data security. The research method used is an experimental method consisting of requirement analysis, system design, implementation of the AES-256 algorithm, and system testing stages. The results show that the implementation of AES-256 is able to encrypt attendance data effectively so that the data cannot be directly read without a decryption process. In addition, the encryption and decryption processes do not have a significant impact on system performance. Thus, the AES-256 algorithm can be effectively applied to improve security in coordinate-based employee attendance systems.
Attendance System, Data Security, AES-256, Coordinates, Cryptography
Copyright (c) 2026 Dani Yusuf , Uus Rusmawan https://creativecommons.org/licenses/by/4.0
Analisis Perbandingan Algoritma Naïve Bayes, KNN dan Decision Tree untuk Hasil Prediksi Kelulusan Cpns Auditor Ahli Pertama
It cannot be denied that every time there is a CPNS acceptance, many are ready to compete to be able to graduate as a civil servant. To become a civil servant, one of the challenges that must be faced is taking the CAT SKD, SKB test by meeting the CAT threshold scores determined by BKN. Where the final graduation rate for CPNS participants is by getting the highest score from the specified number of formations. Therefore, the evaluation carried out by researchers in carrying out a comparative analysis of the Decision Tree, KNN, and Naïve Bayes algorithms for the predicted results of the 2021 Ministry of Religion First Expert Auditor CPNS graduation using Rapid Minner Tools. The results of this research will help in providing more effective and efficient solutions in assessing the qualifications of CPNS candidates, as well as minimizing subjective biases that may arise in the manual selection process.
Decision Tree, KNN, Naive Bayes, Rapid Minner
Copyright (c) 2025 Journal of Informatic and Information Security
Sistem Infomasi Geografis (SIG) Untuk Penyewaan Truck Angkel Menggunakan Metode Extreme Programming
A well-prepared abstract enables the reader to identify the basic content of a document quickly Information technology is currently growing rapidly in various fields, one of which is in the field of transportation. In Indonesia, especially in the city of Bekasi, transportation has become a daily necessity for entrepreneurs, home industries and traders are needed, looking for safe transportation and economical prices is one of the main choices for entrepreneurs, then how do we get transportation costs at low prices, that is by finding the shortest or fastest path to get to the destination by Utilizing Geographic Information Systems. The purpose of this research is to make it easy for company admins to order online ordered by clients, this is where this idea emerged. This research is calculated using one method. Hire Truck rental rental, to be more efficient and accurate. The results of this research can be implemented in the form of a website-based geographic information system
Transportation, Dijkstra's Algorithm, Price, Geographic Information System
Implementasi Metode Fuzzy Logic Untuk Monitoring Suhu dan Kelembaban Cahaya Pada Tanaman Bawang
Monitoring humidity, temperature, and light intensity has so far been done manually, using watering. In this study, a microclimate engineering system was created so that these environmental factors could be conditioned. This technological innovation, created with an internet-based automatic control system, is one of the applied technological innovations in agriculture that can be realized to create a microclimate within the demonstration garden. With the control mechanism implemented in the test room, which has the ability to monitor several indicators in real-time and monitor environmental factors that affect plant growth as needed. This research uses an automated control mechanism with fuzzy logic and IoT as the basic control for onion plants, replacing manual systems. This allows for plant growth to be supported by microclimate conditioning practices tailored to the needs of the plant, particularly onions
Innovation, technology, onion plants, Fuzzy Logic, System Monitoring, IoT
Implementasi Algortima Apriori dalam Sistem Informasi Penjualan Berbasis Web pada CV. Pahala Lima Waktu
The printing industry plays an important role in supporting promotional activities, communication, and various other business needs. However, at CV. Pahala Lima Waktu, the sales transaction recording process i s still performed manually using physical notes, leading to issues such as delayed data retrieval, input errors, and the absence of customer purchasing pattern analysis. To address these problems, this study designs a web-based sales information system equipped with data analysis features using the Apriori algorithm. This algorithm is one of the widely used Data Mining techniques to discover associations between products through the calculation of support and confidence values. The system was developed using the Waterfall method, wi th PHP Native as the backend and MySQL as the database. The implementation results show that the system can digitize transaction processes, generate product association rules, and provide bundling recommendations that can be used as a company promotion strategy. With this integration, the system also functions as a Decision Support System (DSS) to assist staff in making promotion decisions based on historical sales data analysis.
Apriori, Sales Information System, PHP Native, Market Basket Analysis, Decision Support System.
Sistem Pencarian Rumah Sakit dan Manajemen Medis Seluler Berbasis Android dan Komputasi Awan
Dengan pesatnya perkembangan Internet dan teknologi komputasi awan, teknologi Internet yang berbasis pada persepsi dan interkoneksi yang komprehensif serta komputasi awan yang berbasis pada virtualisasi, sumber daya dinamis, dan komputasi paralel telah menjadi kekuatan pendorong bagi inovasi dan pengembangan informatisasi dan kecerdasan. Penerapan Internet medis seluler berbasis awan merupakan ekosistem informasi kesehatan dan informasi medis yang sangat mobile dan dapat dibagikan. Oleh karena itu, dalam konteks penelitian tentang sarana perawatan medis, sistem pemantauan dan manajemen rumah sakit berbasis Internet, komputasi awan dan mobile merupakan alat praktis untuk mempromosikan pengembangan sistem medis seluler.. Dalam banyak kasus pasien kesulitan dalam menemukan sebuah rumah sakit. Kelompok eksperimen diberi tahu oleh percobaan bahwa mereka perlu dilengkapi dengan sensor. Panel kontrol dan modul penentuan posisi GPS digunakan untuk mendapatkan posisi rumah sakit yang tepat. Perangkat lunak pada sistem pencarian dan manajemen medis mobile, menganalisis lokasi terdekat dan ketersediaan kamar. Eksperimen membuktikan bahwa sistem pencarian dan manajemen medis komputasi awan dapat digunakan untuk mendapatkan lokasi rumah sakit yang tepat lebih cepat, dan waktu respons yang lebih singkat. Waktu respons sistem meningkat seiring dengan peningkatan jumlah rumah sakit sekitar, yang menunjukkan bahwa sistem pencarian dan manajemen medis bergerak sangat penting untuk perawatan medis menemukan posisi rumah sakit yang tepat untuk pertama kalinya dalam upaya penyelamatan pasien. With the rapid development of the Internet and cloud computing technology, the Internet technology based on comprehensive perception and interconnection and cloud computing based on virtualization, dynamic resources, and parallel computing have become the driving force for the innovation and development of informatization and intelligence. The application of cloud-based mobile medical Internet is a highly mobile and distributable health information and medical information ecosystem. Therefore, in the context of research on medical care facilities, Internet-based hospital monitoring and management systems, cloud and mobile computing are practical tools to promote the development of mobile medical systems. In many cases, patients have difficulty finding a hospital. The experimental group was informed through the experiment that they need to be equipped with sensors. The control panel and GPS positioning module are used to obtain the exact position of the hospital. The software of the mobile medical search and management system analyzes the nearest location and room availability. The experiment proved that the cloud computing medical search and management system can be used to obtain the exact location of the hospital faster, and the response time is shorter. The response time of the system increases with the increase of the number of surrounding hospitals, indicating that the mobile medical search and management system is very important for medical care to find the exact position of the hospital in the first time in the rescue of patients.
hospital, patient, cloud computing, cellular
Perancangan Aplikasi E-Commerce Berbasis Website Menggunakan Algoritma Content Based-Filtering Pada Toko Smoodie Foodie
The development of digital technology is driving transformation in the trade sector, including the increasing use of e-Commerce platforms. However, challenges such as sales disparities between products still occur, such as at the Smoodie Foodie Store, which still operates conventionally, where 5 of its 16 products have a low sales conversion rate despite being promoted. This research aims to design an e-Commerce system that facilitates online purchases and increases the visibility of less popular products through the Content-Based Filtering (CBF) algorithm. The system development uses the Waterfall method, from analysis to testing. The uniqueness of this research lies in the integration of a recommendation feature that displays similar products based on title attributes. The result is an e-Commerce application that is able to recommend products effectively and increase the visibility of products with low sales. Next, system testing covered key functions such as registration, login, product and order management by the admin, and adding products to the cart by the user. Based on the test results, all features showed a "Succsess" status, indicating the system was functioning as expected
Perancangan dan Implementasi Fitur Pencairan Cepat pada Website Akademik Fakultas
In the digital era, ease of information access plays a crucial role in the effectiveness of an academic website. The Faculty of Psychology at Universitas Bhayangkara Jakarta Raya faces challenges in providing quick and efficient access to information for users. This internship report aims to design and implement a quick search feature on the faculty’s website to enhance user experience. The methods used include observation, interviews, and literature studies to understand user needs and technical system development. The implementation of a JSON-based search feature allows for faster and more accurate information retrieval. Testing results show that this feature improves search efficiency by up to 90%, with high user satisfaction based on conducted surveys. Future development may include integration with a more complex database system and the addition of filtering features to improve search result relevance
Copyright (c) 2024 Journal of Informatic and Information Security
Analisis Manajemen Sekuriti di Badan Pengembangan Sumber Daya Manusia (BPSDM) Provinsi Jawa Barat
This report presents an analysis of security management at the West Java Province Human Resources Development Agency (BPSDM) with the aim of evaluating and improving the existing information security system. In the era of globalization and advances in information technology, information security has become an important part of the economy, especially in the field of natural resource management. This research will use qualitative and quantitative approaches to collect data through interviews, questionnaires, observations and document studies. The survey found that although employees have a good understanding of the information security policy, there are challenges in its implementation, including lack of resources, inadequate training and barriers to change. Suggested recommendations include enhancing information security training programs, better policy implementation, strengthening access controls, and periodic evaluation of security management practices. We hope this report can make a positive contribution to the sustainable and secure management of natural resources.
security management, information security, bpsdm, resource management, risk analysis.
Analisis Dampak Pengamanan Manajemen File Mahasiswa Fakultas Ilmu Komputer Di Universitas Bhayangkara Jakarta Raya
This study was conducted to measure the level of compliance with file security policies among students of Bhayangkara University, Greater Jakarta. This study focused on the system and student data protection. The author investigated the factors that influence students' privacy policies. The author conducted research to determine the value of compliance with data security. The author conducted statistical data processing based on questionnaires filled out by students. The findings of this study provide an indication of the level of data security compliance among students in universities and the factors that influence it. The author tries to correlate compliance with factors that can affect the level of compliance in the implementation of data protection systems.
Data Security Systems and Policies, Level of Student Compliance, Factors that Influence Student Compliance
Efektivitas CCTV dan Teknologi Pengawasan Tidak Langsung Dalam Meningkatkan Keamanan Lalu Lintas
The use of Closed Circuit Television (CCTV) and indirect surveillance technology has become a key element in modern security strategies. This study aims to evaluate the effectiveness of CCTV in preventing security threats, focusing on its ability to reduce crime rates and provide legal evidence. Data indicates that the installation of CCTV can lower theft rates by up to 47.4%, making it a significant deterrent for criminals who are reluctant to act in monitored areas. CCTV not only serves as a preventive tool but also as a means of real-time monitoring, enabling swift responses to emergency situations. Advanced technologies, such as AI-based video analytics and motion detection, further enhance these systems' capabilities in identifying suspicious behavior and delivering automatic notifications to security personnel. Additionally, CCTV recordings serve as strong visual evidence in investigations, aiding authorities in identifying perpetrators and reconstructing the chronology of events.
Closed Circuit Television (CCTV), Security Prevention
Analisis Sistem Manajemen Sekuriti : K3 dan Beban Kerja di PT.Bridgestone
This research aims to analyze the effectiveness of the security management system, Occupational Safety and Health (K3), as well as workload at PT Bridgestone. Three aspects This is an important pillar in maintaining smooth operations, employee safety, and security of company assets. As a large manufacturing company, PT Bridgestone facing complex challenges in implementing strict security management, effective K3 policies, and balanced workload arrangements for employees. This research method includes qualitative and quantitative approaches with techniques data collection through observation, interviews and questionnaires to employees and management. Data analysis was carried out to evaluate the extent of the management system security and K3 have been implemented, as well as to identify factors that affect employee workload. The research results show that still there are several areas that require improvement, such as procedural adjustments security, increased compliance with K3 standards, and workload management which is more regular. Recommendations resulting from this research include strengthening the management system security with supporting technology, regular K3 training for all employees, as well as adjusting workload to suit individual capacity. System implementation More integrated management is expected to be able to create a work environment which is safer, more productive and conducive at PT Bridgestone.
Occupational Safety and Health (K3), Security Management System, Employee Workload, Workplace Safety and Productivity, PT Bridgestone Operational Efficiency.
Meningkatkan Keamanan Jaringan Dalam Pendekatan Terhadapa Ancaman Siber Modern
The escalating complexity of digital threats has transformed the landscape of cybercrime, necessitating robust security frameworks to protect digital infrastructure. Indonesia faces an array of cybersecurity challenges, encompassing unauthorized system penetration, data compromise, digital infrastructure disruption, and malicious software deployment. The management of these risks encompasses systematic approaches to detection, evaluation, mitigation, and ongoing monitoring. Strategic defense initiatives include recruiting specialized digital security professionals to enhance national protection mechanisms and establishing dedicated cybersecurity operations facilities. As digital transformation accelerates, the protection of information assets and computing resources has become paramount. This research examines the multifaceted challenges of digital security, with particular emphasis on methodological approaches, empirical observations, and analytical discourse regarding Indonesia's cybersecurity landscape. The opening segment contextualizes the critical nature of digital defense mechanisms amid rising technological threats. The theoretical framework examines contemporary cybersecurity paradigms and relevant scholarly contributions. The investigation employs qualitative methodologies, utilizing targeted case analyses to thoroughly examine digital security challenges. The investigation reveals that while students demonstrate basic cybersecurity awareness, substantial improvements are needed in Indonesia's broader digital defense capabilities. The study identifies key protective measures against digital threats, including robust authentication protocols, critical information consumption practices, and enhanced security awareness programs. The analysis highlights the intricate nature of combating digital threats and emphasizes the need for strengthened institutional responses coupled with enhanced public understanding of digital safety protocols.
Cybersecurity, Digital Transformation, Digital Threats, Security Awareness, Qualitative Methodology.
Strategi Penanganan Keamanan Siber Di Indonesia
This study continues previous research focused on cybersecurity issues in Indonesia. Its objective is to analyze cybersecurity challenges within the framework of strategies implemented by the Indonesian government. The evolution of cyber threats in the country is examined from the perspective of cybersecurity and national defense, which formed the basis of earlier research, and further expanded to explore relevant mitigation strategies.To provide a comprehensive understanding, this study adopts a three-perspective model that maps cyberspace into various logical layers. The research begins by highlighting the condition of Indonesian netizen and the challenges they face, then links these findings to the state’s perspective in the context of defense, as well as the connections with the public sector, private sector, and international community.
Cybersecurity, National Defense Strategy, Three-Perspective Model.
Keamanan File dalam Sistem Manajemen pada Mahasiswa Universitas Bhayangkara Jakarta Raya: Resiko dan Solusi
Keamanan file dalam sistem manajemen informasi sangat penting untuk melindungi data dari risiko kebocoran, pencurian, atau manipulasi. Universitas Bhayangkara sebagai institusi pendidikan memiliki sistem manajemen yang menyimpan data akademik, keuangan, dan administrasi lainnya. Penelitian ini bertujuan untuk mengidentifikasi risiko keamanan file pada sistem manajemen Universitas Bhayangkara serta menawarkan solusi yang tepat. Dengan menggunakan metode deskriptif dan pendekatan studi kasus, penelitian ini menemukan beberapa risiko utama seperti akses tidak sah, serangan malware, dan kelalaian pengguna. Solusi yang diusulkan meliputi penerapan enkripsi data, sistem otentikasi berlapis, serta pelatihan pengguna. Implementasi strategi ini diharapkan dapat meningkatkan keamanan sistem secara keseluruhan.
Strategi Dan Praktik Terbaik Untuk Melindungi Data Di Universitas Bhayangkara Jakarta Raya
Cybersecurity is a crucial aspect in protecting important data at universities, including Universitas Bhayangkara Jakarta Raya, which handles student, staff, and financial data. This article discusses strategies as well as best techniques that can be employed to strengthen the university's data security. The research covers risk assessment, security training, secure authentication, data backup, system maintenance, network security, security policies, threat monitoring, encryption, and external collaboration. By adopting these strategies, Universitas Bhayangkara Jakarta Raya can minimize risks and enhance the security of their digital information. The research findings indicate that implementing a layered security system can improve the effectiveness of data protection at the university.
Cybersecurty, Data, college student, University Bhayangkara Jakarta Raya.
Strategi Efektif Untuk Implementasi Keamanan Siber di Era Digital
In today's rapidly developing digital era, cyber security has become an urgent need for organizations to protect their data and information systems from increasingly complex threats. Universities are no different; in order to make their educational offerings more competitive, they must raise the caliber of their offerings. competitive. One way that institutions use information technology. The Academic Information System (AIS) is used. SIA was created to fulfill the learning process's goals, which are a component of fulfilling the college's vision and mission. fulfillment of higher education's goal and mission. Technological advances enable various cyber attacks that can result in significant losses, both in terms of finances and organizational reputation. In this context, a layered security approach and increasing awareness and competence of human resources (HR) are important strategies to achieve optimal levels of protection. This research aims to identify and analyze effective strategies that can be applied in implementing cyber security to protect organizations from various digital threats. The research method used is qualitative, which collects and analyzes interview results and related literature to understand the best approaches in cyber security. The research results show that the combination of layered security technologies such as firewalls, intrusion detection systems and data encryption, as well as security awareness training for employees, can increase an organization's resilience to cyber attacks. This approach is not only effective in resisting technical attacks but also strengthens the security culture at all levels of the organization.
Digital Era, Academic Information System (AIS), Cyber Security, Layered Security Approach.
Manajemen Keamanan Siber Dalam Perlindungan Data Pada Layanan Aplikasi Transportasi Publik
The digital era has massively transformed the public transportation system with the use of technology, but it also poses challenges in terms of cyber security. This study focuses on analyzing how cybersecurity management affects people's views on the safety and service quality of public transportation apps. The method used in this study is a quantitative approach, where data is collected through an online survey and then analyzed descriptively. The findings of this study show that cybersecurity management is highly influential on service quality in public transportation apps. Overall, users have a positive view of app security, even in the “Very Good” category. However, there are still some aspects that need to be improved, especially regarding the protection of personal data and awareness of cyber security. The results of this study will serve as a basis for formulating better security policies and strategies to increase public trust in public transportation services.
Cybersecurity, Public Trust, Public Transportation Apps, Personal Data Protection, Quality of Service.
Manajemen Keamanan Data Dalam Era Tansformasi Digital Dan Cloud Computing
Digital transformation has driven the use of cloud computing technology in various sectors, including business and entertainment. However, the implementation of this technology poses significant data security challenges. This study aims to analyze the application of cloud computing technology in digital platforms such as Instagram, WhatsApp, TikTok, Netflix, and Spotify, as well as the security challenges faced. Using a qualitative descriptive approach, the study identifies security strategies used to protect user data, including encryption, access management, and real-time monitoring. The findings reveal that collaboration between cloud service providers and users is key to addressing security threats in the era of digital transformation.
Cloud Computing, Data Security, Digital Transformation, Digital Platforms, Cloud Technology