Intechno Journal : Information Technology Journal
Intechno Journal : Information Technology Journal is a peer-reviewed open-access journal published in every six months, namely in July and December. Intechno Journal (e-ISSN 2655-1438 | p-ISSN 2655-1632) published by Universitas Amikom Yogyakarta in collaboration with Indonesian Computer, Electronics and Instrumentation Support Society (IndoCEISS) to promote high-quality Information Technology (IT) research among academics and practitioners alike, including computer scientists, Software Engineering & Big Data, Multimedia, Networking, IT professionals, and other stakeholders in the IT industry. Contributed papers must be original (similarity score <= 30%) and offer an impactful contribution. At least two independent reviewers will review each manuscript in the relevant field to ensure the publication of only top-quality contributions. Intechno Journal offers an open-access license (CC-BY) while retaining the copyright for the authors.
Development of a Web-Based Teacher Attendance System in Government Agencies: A Case Study at the Ministry of Religious Affairs
Objective: This study addresses the issues of inefficiency and lack of transparency in manual attendance recording systems in government institutions, particularly in the Ministry of Religious Affairs. The study aims to develop a web-based teacher attendance information system that addresses the inaccuracy and susceptibility to manipulation found in conventional paper-based methods, while improving administrative accountability. Method: The system was developed using an iterative software engineering approach that integrates comprehensive needs analysis, modular design architecture, and functional testing stages. The methodology combines web-based technology with user-centered interface design, accommodating the needs of administrative staff and teaching staff. The development phase includes gathering stakeholder requirements, planning the system architecture, implementation using the Django framework, and systematic validation procedures. Results: The implemented system successfully demonstrated improved accuracy in attendance recording, automatic validation of working hours, comprehensive absence history tracking, and Excel data export capabilities. Initial testing revealed increased reporting efficiency and a significant reduction in administrative processing time. The system achieved seamless integration with existing government workflows while maintaining data integrity and security standards. Contribution: This research contributes innovative solutions specifically tailored to Indonesian government institutions, bridging the integration of information technology with human resource management governance. The study presents a strategic digital transformation approach for public sector administrative services, offering a replicable model for similar government organizations seeking to modernize their attendance management systems.
Sistem Absensi Digital Aplikasi Web Pengelolaan Kepegawaian Validasi Waktu Kementerian Agama Django
Copyright (c) 2025 Intechno Journal : Information Technology Journal
Integrating CVSS, OWASP, and APPI for a Comprehensive Risk Analysis of SQL Injection Vulnerabilities in E-Commerce
Purpose: By integrating the technical severity evaluation provided by the Common Vulnerability Scoring System (CVSS), the business risk assessment framework of the OWASP Risk Rating Methodology, and the legal compliance standards outlined in Japan’s Act on the Protection of Personal Information (APPI), this study aims to conduct a holistic risk analysis of SQL injection vulnerabilities within e-commerce platforms. The primary objective is to offer stakeholders a robust and actionable model for enhancing the security of online shopping environments. Methods/Study design/approach: This study employed a mixed-methods experimental case study approach. A custom-built, intentionally vulnerable e-commerce web application was subjected to a simulated SQL injection attack to extract fictitious user and transaction data. The technical severity of the vulnerability was quantified using CVSS v3.1, while the OWASP Risk Rating Methodology was applied to assess the associated business risks. Additionally, the legal implications were evaluated in accordance with Japan’s Act on the Protection of Personal Information (APPI). Result/Findings: The simulation confirmed that a SQL injection attack could extract sensitive personal and transactional data. The vulnerability was rated “Critical” with a CVSS v3.1 score of 9.1, and the OWASP assessment indicated a “High” business risk due to financial impact, APPI non-compliance, and privacy violations. The leaked purchase history was classified under APPI as “Personal Information Requiring Special Attention.” Novelty/Originality/Value: This study’s main contribution is its integrated methodology that links CVSS, OWASP, and APPI frameworks to assess cyber threats. It offers a multidimensional view, showing how a technical vulnerability can lead to serious legal and business consequences under specific data protection laws.
APPI (Act on the Protection of Personal Information)
Application of the SAW Method in a Decision Support System to Determine the Best Public Transportation Mode for UPN “Veteran” Jakarta Students
Purpose: The high use of private vehicles in Jakarta exacerbates traffic congestion, making public transportation a vital alternative, especially for students of the National Development University "Veteran" Jakarta (UPNVJ). However, with numerous options available, many students struggle to select the most suitable mode of transport. This study aims to aid this decision-making process by developing a Decision Support System (DSS) to evaluate and recommend the most optimal public transportation mode. Methods/Study design/approach: This research implements a DSS using the Simple Additive Weighting (SAW) method. Five transportation modes were analyzed: MRT, KRL, TransJakarta, Jaklingko, and Online Motorcycle Taxi. The evaluation was based on five criteria: cost, speed, comfort, accessibility, and safety. Primary data was collected through questionnaires distributed to students, which were then processed using normalization and weighting based on the perceived importance of each criterion. Result/Findings: The analysis revealed that Online Motorcycle Taxi is the top choice among students (score: 0.859), followed by MRT (score: 0.853) and TransJakarta (score: 0.837). The results indicate that each mode has distinct advantages; for instance, MRT excels in comfort and safety, while Jaklingko is perceived as the most economical option. Novelty/Originality/Value: This study demonstrates that flexibility and accessibility are the primary considerations for students when choosing transportation. The findings provide a useful, structured reference for students to select efficient transport that meets their needs, moving beyond anecdotal decision-making. The research effectively applies the SAW method to offer a practical solution to a common student mobility challenge.
Decision Support System for Selecting the Best University for Vocational School Graduates Majoring in Multimedia Using the TOPSIS Method
Purpose: According to Statistics Indonesia (2023), there are around 1.6 million vocational secondary school (SMK) graduates in Indonesia, over 30% of whom come from the Information and Communication Technology field, particularly the Multimedia major. However, more than 40% of them do not proceed to higher education (Tracer Study, Kemendikbud Ristek, 2023), partly due to difficulties in selecting universities that align with their practical skills. This study aims to develop a decision support system that helps Multimedia graduates choose higher education institutions that match their vocational background. Methods/Study design/approach: The study applies the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method, using six evaluation criteria: program accreditation, multimedia facilities, industry partnerships, alumni reputation, tuition fees, and internship opportunities. Data were gathered from official secondary sources such as BAN-PT and PDDikti. The TOPSIS method was then used to rank university alternatives based on weighted criteria. Result/Findings: The highest-scoring alternative obtained a preference score of 0.6968, representing an institution with superior accreditation, strong industry collaboration, and complete multimedia infrastructure. Sensitivity analysis showed consistent rankings for some alternatives, while others shifted depending on changes in criteria weights. Novelty/Originality/Value: This study offers a replicable and adaptable decision support system that enables vocational school graduates to make informed, data-driven decisions in selecting relevant higher education pathways. The framework can be customized for other vocational fields or regional applications, providing practical value for both students and education planners.
Comparative Analysis of Live Action Film Production Management Using Critical Path Method (CPM) Versus Conventional Production Processes
The production of the film “Kinah dan Redjo”, by Universitas Amikom and MSV Sinema, has been completed, prompting researchers to conduct an analysis and evaluation of the production management applied. The focus of this study is on time and cost, which are critical factors supporting film production. An extended production duration was identified as a challenge, as it reduces effectiveness and leads to cost overruns. Therefore, this study aims to compare project management strategies for successful planning and control, using both conventional methods and the Critical Path Method (CPM). This analysis is expected to yield faster project completion and establish efficient, productive standards for future productions. The conventional approach indicated a total production duration of 681 days, comprising 120 days for pre-production, 18 days for production, and 551 days for post-production. Upon analysis using the CPM method, the total duration was reduced to 459 days, including 113 days for pre-production, 152 days for production, and 191 days for post-production. The graphical comparison of methods shows significant cost fluctuations across each production phase with the conventional method, especially increased costs during production despite the shorter duration. Conversely, the CPM method demonstrates more controlled and measurable durations and costs. This study underscores the importance of cost optimization, standardization of the Work Breakdown Structure (WBS), and hybrid modeling to enhance efficiency in dynamic film projects. Furthermore, this analysis serves as a foundational reference for the architectural planning of future applications incorporating artificial intelligence (AI) integration. AI has the potential to accelerate scheduling, optimize resource allocation, and streamline cost management and production design, thereby improving overall project efficiency.
Prototype for Implementing Data Exchange with The FHIR-HL7 Standard in The Personal Health Record Application
Monitoring health is essential for early disease detection, prevention, and managing chronic conditions. Active tracking empowers patients to make informed decisions and adhere to treatments, improving outcomes. However, fragmented medical records across facilities can lead to incomplete information. Integrating records through interoperable systems provides patients and providers with a comprehensive health overview, ensuring continuity, reducing redundancies, and enhancing collaboration. Centralized health data enables better monitoring for patients and more personalized, efficient care from healthcare professionals. This study focuses on developing a prototype for data exchange implementation using the FHIR-HL7 standard in a Personal Health Record (PHR) application. The prototype is tested with selected resources: Patient, Encounter, Observation, and Condition. The data flow involves obtaining patient medical records from an Electronic Health Record (EHR) and displaying them in a Personal Health Record application, ensuring secure access via National Identification Number (NIK) matching as Personal Identification Number. The approach includes mapping FHIR resources to relevant data structures, modifying both EHR and PHR applications to support the data exchange process. The results demonstrate that patient medical records stored in EHR can be accessed by patients through the PHR apps. Specific FHIR resources enable the exchange of various data types: patient demographics using the Patient resource, diagnoses using the Condition resource, and vital signs (e.g., systolic/diastolic blood pressure, weight, height) using the Observation resource. This prototype highlights the feasibility of integrating FHIR-HL7 standards for interoperable health data exchange, enhancing patient engagement and data accessibility.
Copyright (c) 2024 Intechno Journal : Information Technology Journal
EEG Emotion Recognition using Deep Neural Network (DNN) in Virtual Reality Environments
Purpose: The purpose of this study is to explore the integration of EEG technology with virtual reality (VR) systems to enhance therapeutic interventions, improve cognitive state recognition, and develop personalized immersive experiences. Specifically, it investigates the classification of EEG signals in a VR environment using machine learning models and identifies the most effective methods for individual-level analysis. Methods: The study utilized EEG data collected from 31 participants using the Muse 2016 headset, with electrodes positioned according to the 10-20 international system. EEG signals were analyzed for features such as statistical metrics (mean, median, standard deviation, skewness, and kurtosis) and Hjorth parameters (activity, mobility, complexity). Machine learning models, including K-Nearest Neighbors (KNN), Random Forest (RF), and Support Vector Machine (SVM), were evaluated for their performance in classifying emotional and cognitive states in a VR environment. Result: The results indicate that the Deep Neural Network (DNN) outperformed SVM and KNN models, achieving the highest average classification accuracy. SVM demonstrated consistent performance, with accuracy values consistently above 0.8 across subjects, while KNN showed greater variability and lower overall performance. DNN's architecture, incorporating two hidden layers with ReLU activation and a softmax output layer, demonstrated superior capability in modeling complex EEG patterns. The findings emphasize the effectiveness of DNN in handling high-dimensional and non-linear data, particularly for multi-class classification tasks. Novelty: This study is novel in its focus on personalized machine learning model performance in a VR-EEG setup. Instead of a one-size-fits-all approach, it emphasizes individualized analysis, identifying the most effective model for each participant.
Reverse Engineering GitHub CoPilot: Creating an OpenAI-Compatible Endpoint for Enhanced Developer Integration
This paper presents the reverse engineering of GitHub CoPilot to develop an OpenAI-compatible endpoint, enabling broader access and integration possibilities for AI-assisted code completion. By analyzing CoPilot's communication protocols and creating a proxy server that translates OpenAI API requests to CoPilot's internal API, we bridge the gap between proprietary tools and open standards. The implementation, allows developers to utilize CoPilot's capabilities within their preferred environments using the familiar OpenAI API interface. We detail the system architecture, authentication mechanisms, request processing pipeline, and performance optimization techniques. Our results demonstrate successful integration, with robust performance metrics, including low response times and high compatibility rates. This work opens avenues for enhanced developer productivity and flexibility in AI-assisted coding tools.
Forecasting A Major Banking Corporation Stock Prices Using LSTM Neural Networks
The increasing complexity of stock market predictions necessitates advanced computational techniques to address the unique challenges posed by financial data's non-linear and volatile nature. This study aims to leverage Long Short-Term Memory (LSTM) neural networks to accurately forecast stock prices, using historical data collected from a major banking corporation as a primary source. The LSTM model excels at processing sequential time-series data, allowing it to predict monthly stock closing prices over a one-year horizon with a high degree of precision. Our findings indicate a Root Mean Squared Error (RMSE) of 3.2, underscoring the model's efficiency and reliability in financial forecasting tasks. The novelty of this research lies in the systematic incorporation of preprocessing techniques and fine-tuned hyperparameters to optimize model performance. Furthermore, this study explores the practical implications of implementing LSTM models in real-world trading scenarios, analyzing their adaptability to dynamic market conditions and their potential integration into automated trading systems. These findings contribute to the growing body of knowledge in financial analytics and demonstrate the viability of machine learning-based solutions for accurate and robust market predictions.
Quality Evaluation of Ticketing Management System Using ISO/IEC25010:2023 Standards and AHP Method
Purpose: Information Technology plays a crucial role in supporting education service systems. When system-related issues arise, a Ticket Management System (TMS) becomes essential to address various software and hardware problems. Evaluating the performance and quality of TMS applications is necessary to ensure their effectiveness. This study assesses the quality of a TMS application developed by University of Amikom Yogyakarta, using ISO/IEC 25010:2023. Methods/Study design/approach: The Analytic Hierarchy Process method is employed to prioritize three key ISO/IEC 25010 characteristics by engaging TMS application users. Following the ranking, the study conducts quality measurements using questionnaires and black box testing. The questionnaire results are assessed using a Likert scale to determine scores for the TMS application based on the sub-characteristics of the three selected ISO/IEC 25010:2023 characteristics and the AHP-derived rankings. Result/Findings: The findings indicate that the TMS application achieved a quality score of 4.354. This shows that the TMS application is in the good category. Novelty/Originality/Value: The study highlights the need for performance efficiency improvements, specifically in the Time Behavior sub-characteristic, to enhance the overall quality of the TMS application.
Testing of Usability and Correctness Aspects in Marketing and Ordering Information Systems
Purpose: This research systematically evaluates the quality of the web-based marketing and ordering information systems at UD. Percetakan Citra Satria by focusing on the aspects of usability and correctness, aiming to determine the effectiveness of the system in meeting user needs. Methods/Study design/approach: Data collection was conducted through observation and questionnaires. The observation aimed to identify issues during the use of the marketing and ordering information systems at UD. Percetakan Citra Satria, while the questionnaire, using a Likert scale, involved 8 employees and 70 customers to assess usability and correctness. The system was implemented and tested by allowing users to interact with it, with evaluations analyzed using the McCall model. The testing focused on usability, reflecting ease of use, and correctness, ensuring information accuracy, both critical for enhancing user experience and operational effectiveness. Result/Findings: The test results indicate that the overall quality of the web-based marketing and ordering information systems at UD. Citra Satria Printing achieved a score of 85% for the usability aspect and 85.3% for correctness. These scores are classified as very good according to the quality factor percentage scale. Novelty/Originality/Value: This study introduces novelty in applying quality testing for a web-based marketing and ordering information systems using the McCall method, focusing on two main aspects: usability and correctness. The novelty lies in its specific application context, namely in the printing industry (UD. Percetakan Citra Satria), as well as the use of questionnaires to directly incorporate the perspectives of employees and customers.
EEG Signal Classification Using Low Temporal Information in Virtual Reality Environments
Purpose: This research systematically compares the performance of K-Nearest Neighbors (KNN), Random Forest (RF), and Support Vector Machine (SVM) in recognizing emotional and cognitive states from EEG data in a virtual reality (VR) environment. It aims to identify the model with the highest accuracy for each participant. Methods: EEG data were collected from four channels (TP9, AF7, AF8, TP10) with a data range of 0.0 - 1682.815 µV and a sampling rate of 2 Hz. The sampling rate is shallow compared to the standard EEG datasets. Features extracted included statistical measures (mean, standard deviation, skewness, kurtosis) and Hjorth parameters (activity, mobility, complexity), classifier (SVM, RF, KNN). Each classifier’s performance was evaluated using accuracy, indicating the proportion of correctly classified instances. Result: RF achieved the highest average accuracy but showed more significant variability. SVM demonstrated a high median accuracy with consistent performance, as indicated by a narrow interquartile range (IQR) and few outliers. KNN exhibited the lowest median accuracy and highest variability, suggesting sensitivity to data characteristics and parameters. These findings highlight RF’s potential for consistent performance with careful tuning and SVM’s reliability. Novelty: The research’s novelty lies in its personalized performance analysis, evaluating each model’s accuracy individually for participants. This tailored approach reveals the best-performing model for each person, emphasizing customized machine-learning applications in VR-EEG systems. The study’s detailed, participant-specific evaluation enhances emotion and cognitive state recognition precision, advancing individualized VR therapeutic interventions and cognitive research methodologies.
Copyright (c) 2024 Intechno Journal (Information Technology Journal)
Implementasi Metode Waterfall Pada Perancangan Website Seminar Nasional KOMA
Teknologi informasi telah menjadi bagian yang tak terpisahkan dari berbagai aspek kehidupan manusia. Kegiatan seperti seminar nasional tidak lepas dari pengaruh teknologi informasi dalam penyelenggarannya. Seminar Nasional KOMA telah menggunakan Google Form sebagai platform untuk pendaftaran dan penyampaian informasi umum. Penggunaan google form memiliki kelemahan yaitu panitia harus menyesuaikan alur pendaftaran dengan sistem yang ada pada google form. Salah satu cara untuk meningkatkan efektivitas penyelenggaraan seminar nasional adalah dengan memanfaatkan teknologi, khususnya pengembangan website. Salah satu metode pengembangan perangkat lunak yaitu metode waterfall. Metode ini melibatkan serangkaian tahapan yang meliputi analisis kebutuhan, perancangan, pengembangan, pengujian, dan implementasi. Dalam konteks pengembangan website untuk seminar nasional KOMA, penggunaan metode waterfall dapat memberikan kerangka kerja yang terstruktur dan jelas untuk merencanakan serta mengembangkan solusi yang tepat sesuai dengan kebutuhan yang ada. Penelitian ini berhasil mengimplementasikan metode waterfall dalam perancangan website seminar nasional "KOMA" yang dapat mengakomodasi kebutuhan informasi seminar proses pendaftaran dan pengelolaan administrasi. Pengujian Black Box Testing hasil black box telah sesuai dengan hasil yang diharapkan. Berdasarkan pengujian yang dilakukan menggunakan System Usability Scale (SUS) diperoleh nilai 83 yang termasuk ke dalam kategori acceptable dengan grade B.
Analysis System Presensi Menggunakan RFID Card Dengan Modul Mifire RC522 Berbasis Arduino Uno
Penelitian ini membahas tentang penggunaan sistem presensi elektronik RFID Card yang dikombinasikan dengan teknologi Arduino Uno. Metode yang digunakan adalah penelitian kualitatif dengan pendekatan studi kasus dinas lingkungan hidup dan kehutanan Kabupaten Mamasa, provinsi Sulawesi Barat. Penelitian ini menemukan bahwa Secara keseluruhan, hasil studi literatur menunjukkan bahwa RFID card yang dikombinasikan dengan teknologi Arduino Uno adalah teknologi inovatif yang efektif dan efisien untuk digunakan sebagai sistem presensi di berbagai tempat kerja dan institusi pemerintahan.
Analisis Dan Implementasi Website Dengan Metode Prototyping Sebagai Media Informasi Pada Dusun Dondong
Dalam era yang sangat modern ini masyarakat dituntut untuk mengetahui dan mengerti perkembangan tentang teknologi yang ada. Teknologi memberikan kemudahan untuk membantu setiap kegiatan manusia baik dunia akademik, pembangunan dan lain sebagainya termasuk di bidang pemerintahan. Bidang pemerintahan termasuk pemerintah desa. Pada saat ini Dusun Dondong masih belum ada sistem yang untuk memberikan informasi yang pada akhirnya masyarakat tidak dapat memperoleh informasi, sehingga banyak sekali informasi yang tidak diketahui. Tujuan dari penelitian ini adalah membangun sistem informasi Dusun Dondong. Sistem informasi berbasis web ini dibangun menggunakan metode prototype. Sistem ini nanti nya akan memiliki beberapa fitur dan informasi-informasi yang terkait di Dusun Dondong. Hasil dari penelitian ini adalah sistem informasi yang memberikan informasi kepada masyarakat luas dan mengetahui Dusun Dondong mempunyai ikonik yang ada.
Perancangan Media Pembelajaran Bahasa Indonesia untuk Anak Sekolah Dasar
Pendidikan pada tingkat Sekolah Dasar (SD) merupakan dasar penting dalam pembentukan karakter dan kemampuan intelektual siswa. Tetapi, banyak SD yang kurang maksimal dalam penyampaian materinya karena masih menggunakan metode pembelajaran yang konvensional sehingga siswa cepat merasa bosan dalam pembelajaran. oleh karena itu, dibuatlah media pembelajaran Bahasa Indonesia. Penelitian ini bertujuan untuk membuat media pembelajaran yang dapat meningkatkan motivasi belajar siswa khususnya dalam materi bahasa indonesia. Penelitian ini menggunakan metode ADDIE (Analysis, Design, Development, Implementasi, Evaluation). Media pembelajaran bahasa indonesia berbasis website pada penelitian ini dibuat menggunakan adobe animate. Hasil dari perhitungan kelayakan media ini menghasilkan persentase sebesar 84% yang termasuk kategori sangat layak.
Analisis Sentiment Kepuasan Masyarakat Terhadap Identitas Kependudukan Digital Dengan Multinomial Naïve Bayes
Baru baru ini pemerintah menerbitkan sebuah kebijakan baru yaitu KTP Digital. Penggunaan KTP digital ini bertujuan untuk meningkatakan efisiensi dan keamanan data penduduk. Maka dari itu peneliti akan menganalisa kepuasan masyarakat yang sudah menggunakan Aplikasi KTP Digital atau IKD dengan menggunakan Metode Naïve Bayes. Penelitian ini juga bertujuan untuk bisa mengetahui kelemahan dari aplikasi IKD menurut pengguna dan diharapkan penelitian ini bisa menjadi sebuah pedoman untuk pemerintah jika ingin melakukan upgrade sistem IKD.
Rancang Bangun E-Learning Penggolongan Jenis Napza Menggunakan Metode Waterfall
In the context of Sleman Regency, Indonesia, the rate of drug abuse is increasing due to insufficient dissemination of information about the types of drugs and the negative impacts resulting from drug abuse. One of the contributing factors is the lack of socialization among the community, leading to their limited knowledge about the types of drugs and the dangers of improper use or using medication without a doctor's prescription. The approach applied to combat this problem is a systematic method that involves planning the system, analysis, design, implementation, testing, and maintenance. These steps must be carried out in a sequential manner. The system itself will be developed using programming languages such as PHP, JavaScript, and MySQL server for data processing
Strategi Optimisasi Kata Kunci dalam Meningkatkan Visibilitas di Mesin Pencari
Teknologi memungkinkan akses informasi yang cepat dan efisien menjadi kunci penting dalam memenuhi kebutuhan informasi di era digital. Mesin pencari digital seperti Google, memainkan peran krusial dalam memberikan akses cepat dan akurat terhadap informasi yang diinginkan. Pengguna hanya perlu memasukkan kata kunci tertentu, dan dalam sekejap, berbagai sumber informasi relevan akan ditampilkan memberikan gambaran cepat tentang topik yang dicari tanpa harus membuka setiap laman. Mesin pencari menggunakan algoritma canggih untuk menilai relevansi dan kredibilitas laman web berdasarkan kata kunci yang dimasukkan oleh pengguna yang juga mempengaruhi posisi laman dalam hasil pencarian. Optimisasi kata kunci menjadi strategi penting bagi pemilik laman web untuk meningkatkan visibilitas mereka. Penelitian ini bertujuan untuk mengeksplorasi dampak kata kunci terhadap hasil pencarian di mesin pencari dari berbagai perspektif peneliti, dengan fokus pada bagaimana penggunaan kata kunci memengaruhi relevansi, akurasi, dan kepercayaan terhadap informasi yang diperoleh. Melalui tinjauan ini, diharapkan diperoleh pemahaman mengenai strategi optimasi kata kunci dan dampaknya dalam konteks pencarian informasi digital.
Implementasi Algoritma SVM Dalam Pengembangan Sistem Presensi Berbasis Face Recognition
Sistem presensi Universitas Amikom Yogyakarta memiliki potensi untuk dikembangkan. Dari sistem yang sudah ada kami menemukan sebuah ide untuk meng-implementasikan face recognition dalam sistem tersebut. Sistem presensi dengan menggunakan face recognition akan lebih mempermudah mahasiswa/i untuk melakukan presensi. Mengingat permasalahan yang ada seperti menggunakan QR Code yang masih susah dideteksi pada barisan-barisan tertentu. Maka, dalam penelitian ini menggunakan metode Support Vector Machine (SVM) sebagai metode untuk klasifikasi gambar yang sudah diconvert menjadi Numpy Array dengan meng-uji coba beberapa sampel foto mahasiswa/i Universitas Amikom Yogyakarta lalu mengidentifikasi satu persatu data baru untuk mendapatkan sebuah hasil yang berupa pengenalan sebuah wajah dengan tampilan berupa identitas pengenal dari mahasiswa/i tersebut. Diakhir penelitian ini kami menemukan bahwa keakurasian face recognition dengan menggunakan metode SVM menghasilkan rata-rata 93,46% yang berarti bahwa sebuah image yang dapat diproses untuk melakukan sebuah presensi.
Copyright (c) 2022 Intechno Journal (Information Technology Journal)
Implementasi Voice To Text Pada Invoice Checking Berbasis Web
INDOMASCOT adalah perusahaan yang bergerak di bidang konveksi kostum badut maskot. Tim sales-nya seringkali mengalami kerepotan untuk mengirim invoice kepada customer khususnya ketika berada di workshop. Maka dari itu, perlu adanya satu solusi dalam bentuk aplikasi invoice checking yang dapat mengurangi beban pekerjaan tim sales dalam pengiriman invoice kepada customer. Selain itu, sebagai fitur tambahannya baik sekali untuk disematkan pengimplementasian AI dalam bentuk voice-to-text agar customerdapat menginput email & no. invoice-nya dari sumber suara. Dari beberapa kali percobaan, Web Speech APIini kurang memuaskan untuk mengenali alamat email. Namun, memiliki hasil memuaskan untuk mengenali no. invoice yang berbentuk angka. Fitur voice-to-text ini memanfaatkan Web Speech API yang saat tulisan ini dibuat masih dalam status experimental.
Copyright (c) 2023 Intechno Journal (Information Technology Journal)
Aplikasi Monitoring Laporan Data Hasil Pengolahan TBS Kelapa Sawit Berbasis Mobile Pada PT. Perkebunan Nusantara VII
The process of recording data processing reports from units to the PTPN VII head office has used a website-based application. This allows each unit to upload a report of processing data. In an effort to optimize applications, especially in presenting information that can be accessed in real-time for stakeholders to report palm oil processing results, it is necessary to develop a mobile-based application. At PTPN VII. This data collection activity was carried out at PTPN VII, Bandar Lampung head office from March to June 2023. The process of monitoring reports on processing data for Oil Palm Fresh Fruit Plants (FFB) can measure the quality and quantity of processing, as well as make strategic decisions in making decisions quickly and efficiently. accurate. The development of this application uses the Flutter framework, the PHP programming language and the MySql database. The results of the data obtained are the Mobile-Based Palm Oil FFB Processing Data Report Monitoring Application at PTPN VII.
Sistem Informasi Peramalan Stok Barang Toko Al Umm Menggunakan Metode Single Moving Average
Toko Al Umm merupakan toko grosir dan eceran busana muslim yang menyediakan berbagai macam alat ibadah seperti sarung, mukena, peci serta selimut. Dengan adanya berbagai macam barang yang ada pada toko Al Umm, maka pemilik toko pun kesulitan mengetahui stok barang yang tersedia pada tokonya dengan pasti. Untuk mendata stok barang tersebut pemilik toko masih mencatatnya secara manual sehingga pemilik tidak mengetahui dengan pasti berapa jumlah stok barang yang masih tersedia pada toko. Oleh karena itu panulis berinisiatif membangun sebuah aplikasi untuk melakukan peramalan stok barang yang ada pada Toko Al-Umm menggunakan bahasa pemrograman PHP dengan framework CodeIgniter 3. Penulis juga menggunakan metode peramalan single moving average yang mana metode peramalan ini digunakan untuk mengetahui besaran atau banyaknya stok barang yang perlu di suplai pada toko Al-Umm.
Implemantasi Autentikasi Hotspot Menggunakan Radius Server Mikrotik Router Pada Rumah Sakit Misi Lebak
The Lebak misi hospital area currently mostly using wireless networks where usage is increasing and bandwidth is uneven. Between one user and another and the admin only provides password protection for existing access points. which will cause instability between one user and another, therefore the author uses the Radius server as a bandwidth divider as well as security with user authentication and adding a QR code to the authentication. and the author uses the NDLC (Network Development Life Circle) method. As a reference for the radius server configuration using a proxy router. and the results obtained are the percentage of user bandwidth before using the server radius of 0.99Mbps on download and upload of 1.19Mbps for smartphones on laptops of 6.72Mbps for download and upload of 2.21Mbps then after using the radius of the server the average bandwidth speed using user and password of 0.75Mbps for download and 0.80Mbps upload and the success status is very good, all devices can authenticate. and those who can use a QR code of 0.36Mbps for download and 0.44Mbps for Upload with a poor success status because some devices are not compatible for authentication using a QR code by scanning webqr.com.
Penerapan Metode Simple Additive Weighting Untuk Menentukan Siswa Penerima Bantuan Dana SMK PL Leonardo Klaten
SMK PL Leonardo Klaten has a program that is held every month to provide relief fund to students. Decision making in the selection process is currently still done manually, thus requiring more time and allowing for inaccurate selection results due to a lack of thoroughness which can lead to wrong targeting. To solve this problem, a decision support system was designed using the Simple Additive Weighting (SAW) method so that the selection process would be more accurate, efficient and easier for the SMK PL Leonardo Klaten to determine which students are entitled to receive relief fund. The implementation of this decision support system has succeeded in displaying a ranking that can be used as consideration for determining students who receive relief fund at SMK PL Leonardo Klaten. The level of match between the results of manual calculations and the results of system calculations is the same and produces an accuracy of 100% which indicates that the calculation of the SAW method on the system is correct.
Implementasi Metode Random Forest Klasifikasi untuk Phishing Link Detection
Internet sangat dibutuhkan saat ini. Masalah yang muncul dari perkembangan internet dan teknologi saat ini adalah keamanan dan privasi, dimana data privasi sangat rentan untuk dicuri oleh seseorang melalui internet. Contohnya adalah situs web phishing yang telah tersebar luas di internet yang dapat mencuri data seperti, data pribadi, data kartu kredit, perbankan online, dan data email tanpa diketahui oleh pengguna internet. Bisa dibilang sulit membedakan situs web asli atau palsu. Karenanya diperlukan klasifikasi untuk membedakan situs web asli atau palsu. Penelitian ini menggunakan algoritma Random Forest untuk memilih situs web phishing dari pohon keputusan. Berdasarkan penerapan algoritma Random Forest untuk mendeteksi phishing situs web, hasil akurasi adalah 94,36% dan hasil validasi adalah 94,77% menggunakan 2.457 dataset yang diperoleh dari situs web www.kaggle.com. Dari penelitian ini terbukti bahwa algoritma ini memiliki akurasi tinggi untuk memprediksi situs web phishing dan hasil yang diperoleh diimplementasikan dalam bentuk ekstensi dari browser secara realtime yang nantintya akan memberikan popup peringatan jika situs website yang dibuka adalah phishing website.
Identifikasi Tingkat Kematangan Buah Tomat Dengan Citra Warna Berdasarkan Warna Kulit Buah
Pengolahan citra memiliki kegunaan yang penting dalam berbagai bidang, khususnya berkaitan dengan transformasi warna. Dalam penelitian ini dijelaskan metode transformasi warna HSI untuk mendeteksi kematangan buah tomat. Buah Tomat yang digunakan dalam penelitian memiliki tiga kategori kematangan, yaitu matang, setengah matang, dan mentah. Untuk meningkatkan akurasi pada penelitian ini menggunakan sebuah algoritma yang digunakan untuk melakukan klasifikasi tingkat kematangan buah tomat yaitu dengan algoritma K-Nearest Neighbor berdasarkan warna kulit buah Tomat. Dalam penelitian ini nilai K yang digunakan pada algoritma adalah 3, 5, dan 7. Nilai K yang digunakan untuk menguji pencarian jarak dengan Euclidean Distance. Uji coba yang dilakukan penelitian menghasilkan nilai akurasi sebesar 93%.
Perancangan Website Sebagai Media Promosi Dan Informasi Pada Toko Service Star
Penulisan jurnal ini bertujuan untuk membuat website sebagai media promosi dan informasi untuk sebuah toko. Website ini menjadi solusi mengatasi promosi dan informasi kepada konsumen supaya merata dan dapat tersampaikan secara maksimal. Metode yang kami pakai pada penilian dalam jurnal kami adalah dengan menggunakan metode Analisis SWOT (Streght, Weakness, Opportunities, dan Threats). Peluang dari website ini adalah pelanggan menjadi dapat mengetahui produk terbaru dan informasi ter-update dari toko Service Star. Kekuatan dari penelitian ini adalah website sebagai media informasi, informasi dapat tersampaikan secara luas dan konsumen dapat lebih mengetahui spesifikasi suatu produk lebih lengkap. Sedangkan kelemahan dari penelitian kami banyaknya toko lain yang menyampaikan informasi dan mempromosikan produknya dengan ruang lingkup yang lebih luas. Kekurangan yang dialami oleh penelitian kami yaitu harus adanya koneksi internet untuk mengakses website daari Service Star, perlunya maintenance secara berkala agar website tetap aman.
Perancangan Sistem File Sharing Berbasis Website Untuk SMK Muhammadiyah 1 Klaten Utara
Seiring waktu berjalan, teknologi yang digunakan manusia semakin canggih, salah satunya adalah teknologi informasi. Segala data yang dulunya perlu ditulis di atas kertas sekarang sudah dapat tersimpan secara digital tanpa memakan tempat menyimpan maupun biaya yang sebenarnya tidak diperlukan. Software untuk mengelola informasi pun juga sudah semakin banyak digunakan. Namun sayangnya software yang ada masih memiliki fungsi yang tergolong umum dan tergolong sulit untuk dikontrol oleh penggunanya. Penelitian ini membahas proses perancangan hingga realisasi sebuah sistem file sharing untuk digunakan dalam sekolah dengan model prototyping sebagai metode pengembangan softwarenya. Dengan menerapkan model prototyping, software yang dibuat akan dapat diselesaikan dalam waktu yang lebih singkat namun tetap dapat memenuhi kebutuhan dasar penggunanya. Hasil dari penelitian ini membuktikan bahwa proses menyimpan maupun mencari dokumen dapat dibuat lebih cepat dan efisien jika menggunakan sistem file sharing.
Perancangan Media Website Penjualan Catering Ayam Goreng Bu Mur Menggunakan Metode SDLC Waterfall
Kegiatan pemasaran yang dilakukan oleh catring ayam goreng bu mur masih menggunakan cara offline yang dimana cara tersebut sudah sangat tidak efisien seperti menyebarkan brosur ke dashboard motor dan wiper pada mobil, cara tersebut menghabiskan banyak biaya dan energi untuk mencetak brosur. Dengan hadirnya website catring ayam goreng bu mur dapat mendukung proses penjualan ayam goreng dan pemasaran melalui secara online dan lebih hemat biaya. Maka dari itu demi terselesaikannya permasalahan tersebut dibuatlah media penjualan catring ayam goreng bu mur berbasis website dengan menggunakan Tools Visual Code Studio dan PHP MyAdmin sebagai database. Dari terciptanya website ayam goreng bu mur ini membuat ayam goreng ini semakin laris, mudah dikenal karena pemasaran itu sendiri sudah mengikuti perkembangan zaman, dan pelanggan dipermudah dalam urusan pembelian serta pembayaran