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Implementasi Algoritma Weighted Product Untuk Penilaian Quis Pada Aplikasi Belajar Online Siswa Sekolah Menengah Kejuruan Yuza Reswan; Pahrizal Pahrizal; Erwin Dwika Putra; Sahrudin Sahrudin
Jurnal Media Infotama Vol 20 No 1 (2024): April 2024
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v20i1.5701

Abstract

Online learning media (Online learning) uses a technological approach that is more suited to today's student learning systems compared to conservative methods of learning in the classroom. By looking at the varying number of questions, the weighting of the exercises varies with the number of questions contained in the exercises. As for the examples of questions that consist of 20 questions, each question is worth 5, so if the student answers 20 questions correctly then the student gets a score of 100. The problems encountered in research on citizenship education learning are still manual so that students' understanding of the concepts and rules of citizenship education is still limited. less because it is rote. The problem formulation based on the background above is that the weighting of the questions and answers is not yet known. The benefit of this research is as an information medium to introduce quiz exercises in applications with citizenship education subject matter for students at Vocational High School 08, North Bengkulu Regency with the concept of learning while playing.
Robustness Analysis of QR – Code Based and Geolocation Based Attendance System Evan Jayusta; Marhalim Marhalim; Muhammad Immanullah; Yuza Reswan
Jurnal Media Infotama Vol 20 No 2 (2024): Oktober
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v20i2.6510

Abstract

The use of QR-code and GPS technology in the attendance system also has several advantages, such as making the attendance process easier for students, monitoring employee attendance accurately and efficiently, and improving the quality of student work. Therefore, it is important to compare the efficiency of the QR-code attendance method with Geolocation to find out which technology is more effective and efficient in improving the attendance system. In this research the author used the K-means Clustering method. The K-means method is a non-hierarchical data grouping method that attempts to partition existing data into two or more 13 groups. This method partitions data into groups so that data with the same characteristics is included in other groups. The research results show that Cluster 1 has a centeroid that is close to the QR Code features (3,4,4), namely moderate efficiency in application implementation, relatively high ease of use, and system robustness with high data accuracy. Cluster 2 has a centeroid with Geolocation features (3,3,3), namely moderate efficiency and flexibility, moderate ease of use, and system robustness with moderate data accuracy. Thus, after obtaining comparison results between QR code and Geolocation in the lecture attendance process, researchers can recommend the best system to use in terms of user aspects and needs. If the user needs a presence system that prioritizes ease of use and robustness of the system, the user is suited to using the QR-Code system because the usability and durability aspects are relatively high. Meanwhile, if the user prioritizes efficiency and flexibility in the process, it is best to use a presence system in the form of Geolocation, because the results of this research show that the efficient aspect of Geolocation is higher
Membangun Aplikasi Penyuluhan Usaha Mandiri Berbasis Android Yuza Reswan; Pahrizal Pahrizal; Ujang Juhardi; Lambardo Adesio
Jurnal Media Infotama Vol 20 No 2 (2024): Oktober
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v20i2.6613

Abstract

Indonesia is the most populous country in Southeast Asia and a great asset for the development of the Indonesian nation. A large population, if not managed properly, can pose problems in the future. The significant number of unemployed individuals in Indonesia creates its own challenges. The workforce in Indonesia still consists of a significant portion with primary and secondary education, while those with tertiary education are relatively few. The workforce can become the spearhead by creating job opportunities (job creators), so reducing unemployment cannot solely rely on job creation through private or foreign investment and the government. The tough competition among the increasing number of unemployed individuals each year has led to a new option, namely starting a self-employed business, which falls under the category of micro, small, and medium enterprises (MSMEs). MSMEs play a crucial role in improving and growing the community's economy. MSMEs are considered capable of withstanding any situation to achieve the welfare of the society. Establishing a new MSME is a challenging decision for those with limited funds, and careful consideration is required before starting one. The abundance of business options that can serve as references does not always guarantee success since not all businesses will thrive. Before deciding on the type of self-employment to pursue, prospective entrepreneurs must conduct research first. Therefore, there is a need for education and guidance for prospective entrepreneurs to avoid missteps when starting an MSME. The current technological advancements can be utilized to assist prospective entrepreneurs in providing relevant data related to self-employment, one of which is through the use of smartphone technology. Users can access literature regarding the process of establishing a self-employed business and learn from the experiences shared by entrepreneurs who are currently building their businesses
Perancangan Sistem Pelayanan Publik Desa (Studi Kasus: Desa Serambi Gunung, Kabupaten Seluma) Geri Melano Evandra; Pahrizal Pahrizal; Yuza Reswan; Muntahanah Muntahanah
Jurnal Media Infotama Vol 21 No 2 (2025): Oktober
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v21i2.9349

Abstract

This study aims to design a web-based public service system for Serambi Gunung Village, Seluma Regency, improve the effectiveness and efficiency of village administrative services. The background of this research stems from the continued use of manual processes in village public services, which result in delays, risks of document loss, and low service transparency. Chosen due to its iterative and participatory approach, involving users directly in the design process, thus allowing the system to be developed according to actual field needs. The research was conducted from April to July 2025 using a qualitative method with data collection techniques including observation, interviews, literature review, and documentation. The results show that the system developed successfully integrates administrative services such as ID card (KTP) processing, family card (KK) issuance, correspondence, social assistance, and citizen complaints into a single digital platform that is easily accessible to the public. The system design includes UML diagrams (use case, activity, class diagrams), user interfaces for both administrators and citizens, as well as database structures and a search algorithm for service requests. System testing was carried out using the blackbox method to ensure that all functions work as required. The study concludes that the web-based village public service system designed using the prototype method can enhance service quality, speed up administrative processes, and promote transparency and public participation in village governance
Perancangan Sistem Dalam Pengolahan Data Buah Sawit Berbasis Website Dengan Metode Object- Oriented Analysis And Design (OOAD) Program Studi Teknik Informstika Ghepri Haikal; Pahrizal Pahrizal; Yuza Reswan; Ujang Juhardi
Jurnal Media Infotama Vol 21 No 2 (2025): Oktober
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v21i2.9395

Abstract

Palm oil plantations play a vital role in supporting the rural economy, including in Tanjung Harapan Village, Kaur Regency. The process of buying and selling palm fruit by middlemen (toke sawit) is still largely conducted manually—from recording buyer data and purchase transactions to generating daily and monthly reports. This manual system often leads to problems such as data inconsistency, document loss, delayed reporting, and miscalculation during transactions. Therefore, an information system is needed to assist in managing data digitally, efficiently, and accurately.This research aims to design and develop a web-based palm fruit data management information system using the Object-Oriented Analysis and Design (OOAD) approach. The OOAD method was chosen to simplify the process of system analysis and design through various diagrams, including Use Case Diagrams, Class Diagrams, and Sequence Diagrams. The system was developed using the PHP programming language, MySQL database, and the CodeIgniter 4 framework. Its main features include managing buyer (toke) data, recording purchase transactions, generating daily and monthly reports, and printing reports.The results of the study show that the developed system functions effectively in helping palm fruit buyers manage transaction data digitally. It reduces recording errors, speeds up reporting processes, and improves work efficiency. Additionally, the OOAD approach proves to be effective in producing a well-structured system design that can be easily maintained and expanded in the future.
PENERAPAN METODE DEEP LEARNING UNTUK DETEKSI USIA DARI EKSPRESI WAJAH REAL-TIME MENGGUNAKAN WEBCAM BERBASIS VISUAL CODE Yuliy Gusnitasari Simanjuntak; Yuza reswan
Djtechno: Jurnal Teknologi Informasi Vol 6, No 1 (2025): April
Publisher : Universitas Dharmawangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46576/djtechno.v6i1.6034

Abstract

Pengenalan Wajah (Face Recognition) adalah teknologi yang memungkinkan sistem komputer mengidentifikasi individu berdasarkan fitur wajah. Teknologi ini banyak digunakan dalam aplikasi seperti keamanan, verifikasi identitas, serta analisis emosi dan usia. Dalam deteksi usia dan ekspresi wajah secara real-time menggunakan Deep Learning, Pengenalan Wajah berperan penting dalam mendeteksi wajah secara otomatis melalui webcam untuk dianalisis lebih lanjut. Penelitian ini bertujuan meningkatkan akurasi dan kecepatan deteksi usia dan ekspresi menggunakan Convolutional Neural Networks (CNN), meskipun terdapat perubahan kondisi seperti pencahayaan, sudut pandang, dan ekspresi wajah. Normalisasi dataset yang tepat diharapkan dapat meningkatkan kemampuan sistem mengenali pola wajah dan memberikan estimasi yang lebih akurat.Metode penelitian menggunakan quasi eksperimen dengan sampel sebanyak 20 orang yang dipilih menggunakan teknik purposive sampling. Penelitian ini menyarankan pengembangan lebih lanjut sistem deteksi usia secara real-time menggunakan deep learning dan integrasi webcam berbasis Visual Code.
Analysis Of The Accuracy Of The Naive Bayes Algorithm In Classifying The Quality Of Malang Manalagi Apples Arif Permana; Yuza Reswan
Jurnal Media Computer Science Vol 5 No 1 (2026): Januari
Publisher : LPPJPHKI Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmcs.v5i1.9312

Abstract

Apples are one of the most popular fruits in Indonesia and around the world. Manalagi apples, originating from the city of Malang in East Java, are renowned for their unique taste and quality. In the fruit distribution and trade channels, determining apple quality quickly and accurately is crucial, especially to ensure the quality of the product received by consumers. However, the current apple quality assessment method is still manual and relies on visual observation by individuals, making it susceptible to subjectivity, fatigue, and errors in assessment. thus prone to subjectivity and inconsistency. To overcome this, this study developed a naive Bayes algorithm accuracy analysis system in classifying the quality of Malang Manalagi apples. The system was built on the MATLAB platform with an interactive graphical interface, and utilizes color feature extraction (Rmean, Gmean, Bmean), texture (GLCM), and image statistical features such as entropy, smoothness, skewness, and intensity. This method enables automatic and accurate classification of fresh and rotten apples. This research is expected to be a supporting solution in the process of assessing fruit quality more efficiently and objectively, and applicable to the needs of the agricultural industry.
Co-Authors A.R Walad Mahfuzhi A.R Walad Mahfuzi A.R. Walad Mahfuzhi A.R. Walad Mahfuzhi Mahfuzhi Abdullah, Dedy Achmad Rajes Adelia, Serlina Adinda Trisista Ahmad Nur Habibullah Chan Anggraini, Laura Ani Anggraini Anugrah Ilahi, Puja Apridiansyah, Yovi Ar. Walad Mahfuzi Arevo Syahputra Ari Satrio Wibowo Arif Permana Ariksa Abdul Lasin Arnoldi Arnoldi Baihaqi, Ikhwan Bobi Tri Yuliansyah cantika Cecep Saputra Dandi Sunardi Darnita, Yulia Dedy Abdullah Dedy Abdullah Dedy Agung Prabowo Dena, Yunita Meli Diana Diana Diana Diana Dyah Parmitha Pertiwi Eka Sahputra Elviani Elviani Elviani, Elviani Erwin Dwik Putra Evan Jayusta Fajar Ramadianto Feby Ayu Sahputry Filda Rahayu Geri Melano Evandra Ghepri Haikal Giova Giova Giova Giova Gunawan Gunawan Gunawan Gunawan Guntur Alam Handayani, Kurnia Marga Harry Witriyono Heru Susanto Hidayah, Aditia hidayah, agung kharisma Hidayat, Roki Imanullah, Muhammad Jery Rohmadan Wahari Juansen, Monsya Juhardi, Ujang Khairullah khairullah Khairullah Khairullah Khairullah Khairullah Khairullah, Khairullah Khoiriah nur aisyah Kurnia Marga Handayani Lambardo Adesio Laura Anggraini Leo Tri Anggoro M Taufik Ma'ruf M. Taufik Ma’ruf Mahfuzhi, A.R. Walad Mahfuzhi, A.R. Walad Mahfuzhi Mahfuzi, A.R Walad marhalim, marhalim Marton Marton Mat Agus Ma’ruf, M. Taufik Monsya Juansen Muhammad Husni Rifqo Muhammad Husni Rifqo Muhammad Imanullah Muhammad Immanullah Muhammad Soelaiman Rasyid Muntahanah Muntahanah Muntahanah, Muntahanah Nazuta Rolleys Nuri David Maria Veronika Nuri Veronika Padli, Zeko Pahrizal Pahrizal, Pahrizal Paulina, Yanti Putra, Erwin Dwik Putra, Erwin Dwika Putra, Yonaldo PUTRI WAHYUNI R.S, Penti Septian Raffles, Richard Rajes, Achmad Rasyid, Muhammad Soelaiman Reno Septia Erlangga Reza Julianti Ricardo, Ryo Rifqo, Muhammad Husni Ristontowi, Ristontowi Ronny Saputra Ronny Saputra, Ronny Rozali Toyib Ryo Ricardo Sahputra, Eka Sahputry, Feby Ayu Sahrudin Sahrudin Sapitri, Tari Juita Seprianti, Widia Sonita, Anisya Sundari Sundari Surya Ade Saputera Syahputra, Arevo Tari Juita Sapitri Tirta Sari, Puput Toyib, Rozali Trisista, Adinda Ujang Juhardi ujang juhardi Wahidah, Alifah Nur Wibowo, Ari Satrio Widia Seprianti Wijaya, Ardi Witriyono, Harry Yolan Pagestu Yonaldo Putra Yulia Darmi Yuliy Gusnitasari Simanjuntak Yunita Meli Dena Yusa Virginiawan Guntara