Raharja Open Journal Systems
Not a member yet
1655 research outputs found
Sort by
Implementasi Arsitektur Mikroservis dan Orkestrasi Kubernetes dengan Paradigma DDD pada Website Freelancing
Full text linkThe rapid development of the digital era triggered by COVID-19 has changed the way people earn income, with more and more people turning to freelance work. M-Knows Consulting responded to this change by creating a website-based freelance platform, designed to be a place for Indonesian freelancers to develop their careers. Given the complexity of the system and the high interaction of various users, a more modular development is needed to increase efficiency, especially in handling diverse project challenges. Therefore, a microservice architecture was chosen as a more appropriate solution than a monolithic architecture. The design of this microservice architecture involves several important steps, including the application of the Domain-Driven Design (DDD) paradigm with the principle of bounded context to clearly separate business domains and implement a multi-database approach that suits the specific needs of each service. The deployment process will be carried out using Kubernetes to manage the workload of each microservice and ensure system scalability and reliability. With this approach, it is hoped that the development of a website-based freelance platform can run more efficiently and quickly, so that it can immediately provide optimal services for freelancers in Indonesia
IMPLEMENTASI SISTEM ABSENSI NON ASN PADA DINAS KOMUNIKASI DAN INFORMATIKA KABUPATEN TANGERANG MENGGUNAKAN LARAVEL BERBASIS LOKASI: indonesia
Full text linkABSTRACK
Kehadiran mengacu pada tindakan atau praktik rutin seorang individu untuk menunjukkan kehadiran atau ketidakhadirannya dalam suatu organisasi. Kehadiran ini terkait dengan penerapan tindakan disiplin yang ditetapkan oleh setiap organisasi atau lembaga. Penelitian ini secara khusus akan menyelidiki keberlangsungan operasional sistem absensi di Dinas Komunikasi dan Informatika Kabupaten Tangerang. Sebagai sebuah instansi pemerintah daerah, Diskominfo Kabupaten Tangerang mempekerjakan sejumlah besar pegawai non-ASN (non-PNS) untuk membantu memberikan pelayanan kepada masyarakat. Namun, sistem absensi untuk pegawai non-ASN belum terstandarisasi di semua kantor. Beberapa kantor masih mengandalkan mesin absensi atau cara manual. Untuk mengatasi hal tersebut, Diskominfo telah mengembangkan sistem absensi berbasis aplikasi dan website yang dirancang khusus untuk pegawai non-ASN. Tulisan ini menggunakan pendekatan analisis SWOT untuk mengatasi masalah absensi dengan mempertimbangkan kekuatan dan kelemahan internal, serta peluang dan ancaman eksternal. Selanjutnya, penulis menyarankan adopsi Sistem Absensi Non ASN di Dinas Komunikasi dan Informatika Kabupaten Tangerang dengan memanfaatkan kerangka kerja Laravel Berbasis Lokasi. Implementasi menggunakan pendekatan analitis berorientasi objek, memanfaatkan Unified Modeling Language (UML) untuk pemodelan dan PHP sebagai bahasa pemrograman. Sebuah sistem berbasis website diperlukan untuk meningkatkan pemrosesan data aset, memastikan efektivitas dan efisiensi yang lebih baik.
Kata Kunci : Absensi, Sistem Absensi, non ASN
ABSTRACT
Attendance refers to the routine actions or practices of an individual to indicate his or her presence or absence in an organization. This attendance is related to the application of disciplinary measures set by each organization or institution. This research will specifically investigate the operational sustainability of the attendance system at the Dinas Komunikasi dan Informatika Kabupaten Tangerang. As a local government agency, Diskominfo Kabupaten Tangerang employs a large number of non-ASN (non-civil) employees to help provide services to the community. However, the attendance system for non-civil servants has not been standardized in all offices. Some offices still rely on attendance machines or manual methods. To overcome this, Diskominfo has developed an application and website-based attendance system specifically designed for non-civil servants. This paper uses a SWOT analysis approach to address the attendance problem by considering internal strengths and weaknesses, as well as external opportunities and threats. Furthermore, the author suggests the adoption of the Non ASN Attendance System in the Communication and Informatics Office of Tangerang Regency by utilizing the Location-Based Laravel framework. The implementation uses an object-oriented analytical approach, utilizing the Unified Modeling Language (UML) for modeling and PHP as the programming language. A web-based system is needed to improve asset data processing, ensuring better effectiveness and efficiency.
Keyword : Attendance, attendance system, non AS
Analisis Return On Asset (ROA), Return On Equity (ROE), Dan Net Profit Margin (NPM), Pada Pertumbuhan Laba Perusahaan Properti Dan Real Estate
Full text linkThis study aims to analyze the profit growth of property and real estate companies that occurred after the covid-19 period which resulted in 12 companies experiencing delays in financial reports due to potential losses or decreases in profits. The data used in this study are secondary data totaling 96 samples with purposive sampling method. The tests used to analyze the relationship between the independent variable and the dependent variable are descriptive statistical analysis, classical assumption test, multiple linear regression, coefficient of determination, partial and simultaneous. The findings of this study identify that partially Return On Asset, Return On Equity, Net Profit Margin have an influence on profit growth. Simultaneously, the three variables also have an influence on profit growth. This means that property and real estate companies are able to maximize their net profit, equity, assets, and sales so as to increase the company's profit growth
Interface Analysis of Bullying Monitoring Systems for Students in Avicena Rajeg School
Full text linkThe Emergency Panic Button tool has been developed to provide quick response and accessibility in emergency situations. In this research, we designed and developed an Emergency Panic Button tool using the Arduino ESP32 Devkit V1. This tool allows users to easily trigger emergency signals, send help messages to Telegram, and includes user location information and monitoring of the user's body temperature. The development method includes the integration of electronic components such as buttons, communication modules such as GSM or Wi-Fi, and body temperature sensors. We use Arduino ESP32 Devkit V1 as the main platform and utilize the Telegram API software to send help messages to specified contacts. In this research, we study the theoretical foundations related to emergency systems, Arduino technology, integration with the Telegram API, and user body temperature training. We design and implement tools by developing Arduino programs that allow training panic buttons, sending emergency messages to Telegram, acquiring locations using GPS modules or other methods, as well as training the user's body temperature using temperature sensors
Sistem Pengolahan Data Pembayaran Siswa Menggunakan Metode Extreme Programming Pada Sekolah
No full textProses pencatatan pembayaran keuangan siswa di SMK Farmasi Tangerang 1 saat ini masih dilakukan secara manual, sehingga prosesnya kurang efisien dan akurat. Hal ini menyebabkan kesulitan dalam melakukan pelaporan data pembayaran dan pengolahan data pembayaran secara keseluruhan. Untuk mengatasi permasalahan tersebut, penelitian ini bertujuan untuk merancang sistem aplikasi pengolahan data pembayaran siswa berbasis web menggunakan metode Extreme Programming. Dalam implementasi, sistem ini dibangun dengan menggunakan React JS untuk menciptakan antarmuka pengguna yang responsif dan dinamis, serta Firebase sebagai database untuk penyimpanan dan pengolahan data pembayaran. Penelitian ini dilakukan dengan menggunakan metode penelitian deskriptif kualitatif. Pengumpulan data dilakukan melalui studi pustaka, wawancara, dan observasi. Hasil penelitian menunjukkan bahwa sistem aplikasi pengolahan data pembayaran siswa berbasis web menggunakan metode Extreme Programming dapat meningkatkan efisiensi dan akurasi proses pengolahan data pembayaran. Hal ini ditunjukkan dengan adanya peningkatan kecepatan proses pengolahan data pembayaran, berkurangnya kesalahan dalam proses pengolahan data pembayaran, dan peningkatan kemudahan dalam melakukan pelaporan data pembayaran. Hasil dari penelitian ini adalah sistem aplikasi pengolahan data pembayaran siswa berbasis web menggunakan metode Extreme Programming yang dapat menjadi solusi yang tepat untuk mengatasi permasalahan pengolahan data pembayaran siswa di SMK Farmasi Tangerang 1
Studi Bibliometrik tentang Peran Blockchain dalam Melacak Herbal Supplement untuk Kesehatan: A Smart Living Perspective
Full text linkHerbal supplement telah menjadi alternatif yang populer bagi masyarakat dalam menjaga kesehatannya. Namun, kontaminasi dan pemalsuan produk herbal masih menjadi risiko yang mengancam kualitasnya. Oleh karena itu, penting untuk memastikan traceability produk herbal agar aman dan terjamin kualitasnya. Dalam hal ini, teknologi blockchain dapat menjadi solusi yang potensial. Penelitian ini bertujuan untuk menganalisis penggunaan teknologi blockchain dalam traceability produk herbal di sektor kesehatan, dengan memperhatikan perspektif smart living untuk mendukung pengembangan smart city. Metode bibliometrik digunakan untuk menganalisis artikel-artikel terkait blockchain dalam traceability produk herbal di basis data Scopus. Data bibliometrik yang dianalisis mencakup jumlah artikel, pengarang, jurnal, tahun publikasi, dan kata kunci yang digunakan. Studi ini menunjukkan potensi teknologi blockchain dalam meningkatkan keamanan dan kualitas produk herbal di sektor kesehatan. Dalam perspektif smart living, traceability produk herbal yang aman dapat membantu masyarakat dalam memilih produk yang sesuai dengan kebutuhan kesehatannya, serta mendukung pengembangan smart city. Oleh karena itu, penggunaan teknologi blockchain diharapkan dapat meningkatkan kepercayaan masyarakat terhadap produk herbal dan mendukung pengembangan smart city
Development of Mobile Location Based Service Application for Searching for Nearest AC Service: Pengembangan Aplikasi Mobile Location Based Service Untuk Pencarian Service AC Terdekat
No full textAir Conditioner (AC) in the current era has become a necessity in everyday life for use in various activities. Over time, the AC can cause damage generally because it is used frequently, so regular maintenance is needed so that the AC continues to run well and optimally. The problem faced when seeking AC maintenance is difficulty in finding the nearest AC service, so a system is needed that can search according to the customer's location. This search uses a location based service by utilizing the Google Maps API and is mobile based to display location data mapping to see the nearest AC service point. Based on the test results using user acceptance testing, a final score of 93.8% was obtained in the "Very Good" category so that the application runs well and as it should.
 
Implementasi Metode Hibrida CNN-ELM Dalam Deteksi Citra Deepfake
Full text linkThe existence of Artificial Intelligence (AI) today has played a significant role in human life. In addition to bringing positive impacts, AI also has negative effects that can be detrimental to humans, one of which is Deepfake. Deepfake is the use of deep learning to forge someone's face in an image or video. This research introduces a hybrid method combining Convolutional Neural Network (CNN) and Extreme Learning Machine (ELM) to detect deepfake images. The goal of this research is to create image detection to verify the authenticity of an image in order to avoid deepfake. With the advantage of feature extraction from the CNN model and the efficient computational speed of the ELM model, the CNN-ELM hybrid method can accurately and efficiently train and test data. This research uses various scenarios to find the best parameter configuration. The results of this hybrid method achieved an average accuracy of 85.77% using 600 hidden neurons, RMSprop optimization, and ReLu activation function. This research also developed a simple GUI to allow free input of photos to verify their authenticity. This research can be one approach to detecting deepfake images
Klasifikasi Nilai Ujian Menggunakan Algoritma C5.0 di SMA Hangtuah 2 Sidoarjo
Full text linkHangtuah 2 Sidoarjo High School is one of the educational institutions that implements intensive data management practices in all its operational activities. These activities start from processing student personal data, teacher lesson schedules, teaching management, attendance management, library management, financial management as well as evaluating and reporting student grades. In the evaluation process, teachers at Hangtuah 2 Sidoarjo High School often make mistakes in filling in the value data because there is too much data, so that the management of student grades becomes slow and calculation errors occur, resulting in ineffective classification of student grades. For this reason, this research aims to design an academic management system and test score classification using the C5.0 algorithm. With this system, it will be easier for administrators, teachers, librarians and finance departments to store student data and see their grades directly through the system. The results of the average percentage of all the questions that have been distributed have concluded that the UAT test results from the academic management system have very good criteria. The system that has been built can help teachers at Hangtuah 2 Sidoarjo High School to classify exam results based on the parameters of tuition arrears, number of books borrowed. , absenteeism, average UTS and UAS scores, accuracy results obtained from data from 37 students, test data, namely 70%.
Sistem Rekomendasi Makanan Sesuai Budget Bagi Wisatawan Menggunakan Algoritma Genetika Berbasis Website
Full text linkThe development of a web-based food recommendation system using Laravel aims to help tourists in Surabaya find places to eat that suit their preferences, overcoming the constraints of limited information and the many choices that are often confusing. This system utilizes a genetic algorithm, which was chosen for its ability to optimize recommendations based on various criteria such as budget and location. Restaurant data in Genteng and Bubutan Districts is collected and analyzed for use in the recommendation process. Functional testing shows that this system functions well, with a genetic algorithm that is able to produce optimal recommendations based on adequate fitness values and fast execution times. To improve this system, it is recommended to improve the user interface design, optimize algorithm parameters, and perform additional testing to ensure system performance and security