OKTAL : Jurnal Ilmu Komputer dan Sains
1. Komputasi Lunak, 2. Sistem Cerdas Terdistribusi, Manajemen Basis Data, dan Pengambilan Informasi, 3. Komputasi evolusioner dan komputasi DNA/seluler/molekuler, 4. Deteksi kesalahan, 5. Sistem Energi Hijau dan Terbarukan, 6. Antarmuka Manusia, 7. Interaksi Manusia-Komputer, 8. Hibrida dan Algoritma Terdistribusi Pemrosesan Informasi Manusia, 9. Komputasi Berkinerja Tinggi, 10. Penyimpanan informasi, 11. Keamanan, integritas, privasi, dan kepercayaan, 12. Pemrosesan Sinyal Gambar dan Ucapan, 13. Sistem Berbasis Pengetahuan, 14. Jaringan Pengetahuan, 15. Multimedia dan Aplikasi, 16. Sistem Kontrol Jaringan, 17. Klasifikasi Pola Pemrosesan Bahasa Alami, 18. Pengenalan dan sintesis ucapan, 19. Kecerdasan Robot, 20. Analisis Kekokohan, 21. Kecerdasan Sosial, 22. Statistic 23. Komputasi grid dan kinerja tinggi, 24. Realitas Virtual dalam Aplikasi Rekayasa, 25. Intelijen Web dan Seluler, 26. Data Besar, 27. Manajemen Informatika, 28. Sistem Informasi, 29. Desain Permainan, 30. Sistem Multimedia, 31. Pemrosesan Gambar, 32. IOT 33. Pemrograman Seluler, 34. Desain Basis Data, 35. Pemrograman Jaringan, 36. Sistem Terdistribusi, 37. Sistem Pendukung Keputusan, 38. Sistem Pakar, 39. Kriptografi, 40. Model dan Simulasi, 41. Jaringan 42. Perhitungan 43. Metematika 44. Kimia 45. Teknik Elektro 46. Robotik 47. Fisika
Articles
1,093 Documents
Rancang Bangun Sistem Smart Home Berbasis Iot Untuk Monitoring Dan Pengendalian Energi Listrik
Dina Astrit Aisyah Febrianti;
Ahmad Mizan;
Kezia Tabita Amitakasih
OKTAL : Jurnal Ilmu Komputer dan Sains Vol 4 No 11 (2025): OKTAL : Jurnal Ilmu Komputer Dan Sains
Publisher : CV. Multi Kreasi Media
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The Internet of Things (IoT) has become one of the most widely used technologies to support energy efficiency in households. This research presents the development of an IoT-based smart home system designed to monitor and control electricity usage in real time. The system utilizes a NodeMCU ESP8266 microcontroller integrated with current and voltage sensors to measure power consumption from household appliances. All data are transmitted via a Wi-Fi network to an IoT platform and displayed through a web-based interface, allowing users to control and monitor electrical activity remotely. The experimental results show that the system achieved up to 96% accuracy in displaying energy usage data and provided automatic alerts when the power load exceeded the set threshold. The implementation of this system improved household energy efficiency by approximately 18%, proving that IoT integration in smart homes can serve as an effective solution for smarter and more efficient electricity management.
Sistem Informasi Penjualan Berbasis Web Dengan Metode Prototype (Studi Kasus : Toko Raya Collection)
Rangga Cahya Gumilang;
Indra Cahya Firdaus
OKTAL : Jurnal Ilmu Komputer dan Sains Vol 4 No 11 (2025): OKTAL : Jurnal Ilmu Komputer Dan Sains
Publisher : CV. Multi Kreasi Media
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Raya Collection is a micro, small, and medium enterprise (MSME) in the fashion sector that still relies on conventional sales practices, including manual transaction recording and promotion limited to Instagram. These conditions result in low operational efficiency and inadequate delivery of product information to customers. This study aims to design and develop a web-based sales information system to enhance the effectiveness of the business processes. The prototype method was applied to facilitate iterative development and direct evaluation with users throughout the system design stages. The system was developed using PHP as the primary programming language and MySQL as the database management system, supported by tools such as XAMPP, Visual Studio Code, and Visual Paradigm. The evaluation results indicate that the system improves transaction efficiency, expands marketing reach, and provides customers with easier access to product information and online purchasing services. Overall, the proposed system demonstrates greater effectiveness compared to the previous manual sales procedures used by the enterprise.
Analisis Mood Mahasiswa dalam Satu Minggu Menggunakan Statistik Deskriptif dan Korelasi Spearman
Nurhayati;
Regina Ramadhani;
Risma Nur Indriyani;
Perani Rosyani
OKTAL : Jurnal Ilmu Komputer dan Sains Vol 4 No 12 (2025): OKTAL : Jurnal Ilmu Komputer Dan Sains (INPRESS)
Publisher : CV. Multi Kreasi Media
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This study aims to analyze fluctuations in student mood over the course of one week and to identify factors associated with these changes using descriptive statistics and Spearman correlation. A total of 49 students from the Informatics Engineering program were selected using the Slovin formula. Data were collected through a daily questionnaire measuring mood, energy level, sleep quality, mood-influencing factors, and the impact of mood on learning concentration. Descriptive results indicate that student mood varies throughout the week, with the lowest level occurring on Monday and the highest on Saturday. Spearman correlation analysis reveals a strong and significant positive relationship between mood and both energy level (ρ = 0.558) and learning concentration (ρ = 0.560). In contrast, sleep quality shows a weak and non-significant relationship with mood. These findings indicate that internal conditions such as energy and concentration have a greater influence on daily mood than sleep quality. The study provides valuable insights into students’ emotional dynamics and highlights key factors that may support academic well-being.