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Desain dan Konstruksi Website Profil Program Studi Teknik Informatika Menggunakan Sistem Manajemen Konten Wordpress Rizki Ananda Pratama; Rasiban
Jurnal Nasional Teknologi Komputer Vol 1 No 1 (2021): Volume 1 Nomor 1 Oktober 2021
Publisher : CV. Hawari

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61306/jnastek.v1i1.152

Abstract

This article explores the creation of a study program profile website using the WordPress Content Management System (CMS). In higher education, there's a need to provide current and relevant information to prospective students, existing students, faculty, and the general public. A study program profile website serves as an effective means to fulfill this requirement. The design process outlined in this research includes conducting a needs analysis, designing the interface, choosing a suitable WordPress theme, developing features specific to the study program, and testing the website’s functionality. Utilizing WordPress as a content management platform allows for easy content management and updates without the need for advanced programming skills. The outcome of this research is a responsive, visually appealing, and user-friendly study program profile website. Features include details about study programs, curriculum, faculty, facilities, and the latest news, along with a search function to help users find specific information quickly. Adopting the WordPress CMS not only enhances time and cost efficiency in website management but also offers flexibility in updating or modifying content, ensuring that the information remains current and relevant. In summary, the design of a study program profile website using WordPress CMS proves to be an effective approach for delivering timely and pertinent information to stakeholders in the academic sector. This research contributes to the field of information technology, particularly in leveraging CMS platforms for effective content management within higher education.
Pengembangan Media pembelajaran Berbasis Website Pada Pembelajaran Matematika SD Kelas 1 Tri Agus Setiawan; Rasiban; Rizki Ananda Pratama
Jurnal Nasional Teknologi Komputer Vol 2 No 4 (2022): Volume 2 Nomor 4 Oktober 2022
Publisher : CV. Hawari

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61306/jnastek.v2i4.155

Abstract

Web-based learning media utilizes technology. This research aims to assess the feasibility of a web-based learning media for 1st grade elementary school mathematics lessons. The objective is to develop a website as a learning platform for 1st-grade elementary school students in mathematics. The type of research used is research and development, involving three stages: preliminary study, product development, and testing. In this digital era, the use of information technology in education is increasingly crucial, and developing a website as a learning tool can be an effective solution to enhance the quality of mathematics education at the elementary school level. The website is designed to provide interactive mathematics learning content aligned with the educational curriculum. The development process includes analyzing the learning needs of 1st-grade students in mathematics, designing website content and interface, developing the website according to predefined specifications, implementing the website in classroom learning, and evaluating its effectiveness as a learning tool. The study involves 1st-grade elementary school students as trial subjects to assess the impact of the website on their interest and understanding of mathematics. Data collected are analyzed quantitatively and qualitatively to measure the success rate and usability of the website in the context of mathematics learning.
Implementation of Automatic Chicken Coop Temperature Controller Using DHT11 Sensor and Servo Motor Mukminin, Mukminin; Rasiban
Journal Innovations Computer Science Vol. 4 No. 2 (2025): November
Publisher : Yayasan Kawanad

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56347/jics.v4i2.363

Abstract

This study presents the design, development, and evaluation of an automatic temperature control system for broiler chicken coops using NodeMCU and DHT11 sensors integrated within an Internet of Things (IoT) framework. The system was designed to maintain coop temperature stability automatically, minimizing manual intervention and optimizing environmental conditions for broiler productivity. Using a Research and Development (R&D) approach, the system was constructed with hardware components including NodeMCU ESP8266, DHT11 sensor, servo motor, relay, lamp, and cooling fan, while the software utilized Arduino IDE, Python, and Telegram Bot API for real-time monitoring. The seven-day experimental testing, with thirty readings per day, demonstrated that the system maintained an average temperature of 27.6°C (±0.8°C), achieving 98.5% accuracy compared to manual thermometers, with an average error of 0.65%. The actuators exhibited an average response time of 1.8 seconds, ensuring quick adaptation to environmental changes and preventing heat stress in broilers. The automation reduced manual monitoring time by 80% and inspection frequency by 83%, while lowering energy consumption by approximately 40% through temperature-based device activation. These results confirm that low-cost IoT automation enhances environmental stability, animal welfare, and operational efficiency, aligning with the global trend toward precision livestock farming. Future improvements should focus on integrating multi-node systems, adaptive control algorithms, and humidity regulation to expand scalability, reliability, and sustainability in poultry management.
Sistem Informasi Otomatisasi Pelaporan Data Penjualan Toko Buku Nazwa Yang Masuk Dan Yang Keluar Rasiban; Ade Septiansyah; Septi Hasanah; Veren Nita Permatasari; Agistia Yuliawati
IKRA-ITH Informatika : Jurnal Komputer dan Informatika Vol. 8 No. 1 (2024): IKRAITH-INFORMATIKA Vol 8 No 1 Maret 2024
Publisher : Fakultas Teknik Universitas Persada Indonesia YAI

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Praktek kerja yang kami lakukan bertempat di UMKM mikro kecil yaitu di toko buku Nazwa di daerah Jakarta Timur. Pada Praktek kerja ini saya dan teman-teman di minta untuk membuat aplikasi berbasis web. Aplikasi yang diminta oleh kepala pengusaha adalah “pelaporan Data penjualan toko buku Nazwa yang masuk dan Buku yang keluar”. Semakin zaman berkembang kecanggihan teknologi informasi merupakan suatau hal yang penting baik itu untuk individu maupun kelompok. Metode pengumpulan data dilakukan observasi dan wawancara langsung di pusat penelitian untuk memperoleh data yang akurat dan terpercaya. Sedangkan data sekunder menggunakan studi literatur dari berbagai sumber yang berkaitan dengan pertanyaan yang diajukan dalam penelitian tersebut, baik buku, jurnal, artikel, atau sumber online lainnya.Tahap penelitian diawali dengan tahap perencanaan kebutuhan yaitu mengidentifikasi kebutuhan informasi dan permasalahan yang dihadapi untuk menentukan tujuan, batasan sistem, batasan kendala dan alternatif pemecahan masalah.Dari hasil penelitian dapat disimpulkan bahwa sistem pengolahan data persediaan barang menggunakan sistem manual yang membutuhkan waktu yang cukup lama dalam mengolah data serta penyimpanan data.
Analisis Kinerja Naïve Bayes dalam Klasifikasi Produk Terlaris Berdasarkan Data Penjualan dan Interaksi Pengguna pada Toko Babygear.Project Rasiban, Rasiban; Wulandari, Putri
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 10 No 2 (2026): APRIL 2026
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v10i2.5287

Abstract

This study aims to analyze and classify best-selling and least-selling products in the Babygear.Project store using the Naïve Bayes algorithm. The data used includes sales and user interaction data collected from the store management system, then a preprocessing stage is carried out to ensure data quality before being used in modeling. The testing process is carried out by dividing the dataset into training data and test data using a 60:40 ratio. The test results show that the Naïve Bayes model has an accuracy of 92.68%, with consistently high precision, recall, and F1-score values across both product categories. Further analysis reveals that the features of sales volume, purchase frequency, product category, product price, and user interaction are the most dominant factors in the classification process. The implementation of this model provides strategic benefits, especially in optimizing stock management, promotional planning, and data-driven decision making to improve operational efficiency and customer satisfaction. This study also opens up opportunities for further development, such as the addition of predictor variables, the use of larger datasets, and testing benchmark algorithms to improve prediction accuracy in the future.
Co-Authors Ade Septiansyah Adnan, Kemal Agistia Yuliawati Amalia, Ghina Amir Tengku Ramly Arjun Fricco Arpinda, Arpinda Aryanti, Putri Gea Asep Maulana Aulia, Mutia Dwi Banase, Samuel Figo Beatrice Yrain Bening Sari Purnomo Bila, Septiyana Bimantoro, Dava Sevtiandra Boangmanalu, Raya Fitri Dadang Iskandar Mulyana` Evan Donaldo Febryan Bayu Pratama Feni Citra Dewi Firdaus, M. Aziz Hanif, Zuhdi Hermawan Susanto Hutagalung, Julinar Sari Ikha Novie Tri Lestari Imam Muftadi Julinar Sari Hutagalung Kurniawan Setyo Nugroho Megawati - Megawati Megawati Miftahul Jannah Ahyana Puteri Kharisha Muhammad Alfin Najib Muhammad Fakhri Pratama Muhammad Ilham Fadillah Muhammad Jardine Ramaddhani Mukminin, Mukminin Najib, Muhammad Alfin Nugraha, Pramudya Nunung Parawati Paidi, Imam Pradita, Anggi Puteri Kharisha, Miftahul Jannah Ahyana Putri Amira Sumitro PUTRI WULANDARI Rachmat Hidayat Insani Radikto Radikto Rahmah, Andini Raya Fitri Boangmanalu Rizal, Saepul Rizki Ananda Pratama Rudi Tri Jaya S Sutisna Samuel Praja Raymond Maruli Saputra, Hendra Ekky Sarimole, Frencis Matheos Sartika Mala Senika, Anis Septi Hasanah Setya Permana Sutisna SOPAN ADRIANTO Sri Lestari Sri Lestari Sugeng Riyadi Sumabrata, Raden Muhammad Jachfitrah Ardhi Suropati, Untung Sutisna Sutisna Sutisna Sutisna, Nandang Tanjung, Cici Yolanda Tri Agus Setiawan Tri Wahyudi Tri Wahyudi Tri Wahyudi Tri Wahyuni Triwahyudi, Triwahyudi Tundo, Tundo Untung Suropati Veren Nita Permatasari Wahab, Adnan Wahyu Saputro Wahyudi, Ahmad Arif Yansen Yansen Yuliansyah, Ahmad Fauzan Yusuf Pascal Ramadhan