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OKTAL : Jurnal Ilmu Komputer dan Sains
Published by CV. Multi Kreasi Media
ISSN : -     EISSN : 28282442     DOI : -
Core Subject : Science, Social, Engineering,
Astronomy Chemistry Computer Science & IT Electrical & Electronics Engineering Social Sciences
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
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 1,231 Documents
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Sistem Pendukung Keputusan Berbasis Web untuk Optimasi Anggaran Pemasaran Digital Menggunakan Metode Weighted Product Hermawan Setiawan; Khairudin
OKTAL : Jurnal Ilmu Komputer dan Sains Vol 5 No 08 (2026): OKTAL : Jurnal Ilmu Komputer Dan Sains
Publisher : CV. Multi Kreasi Media

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Abstract

In the era of digital transformation, marketing activities increasingly rely on data utilization to support more accurate and measurable decision-making processes. PT. Digital Catha Sangkara still faces challenges in determining digital marketing campaign budget allocations because decision-making is often influenced by subjective considerations. This study aims to develop a web-based Decision Support System to support digital marketing campaign budget allocation recommendations. The method applied in this research is the Weighted Product method combined with data normalization to evaluate digital content performance based on several criteria, namely Engagement Rate, Reach, Impression, Profile Visits, and Followers Growth. The data used in this study were obtained from monthly content performance reports and processed to generate preference values and alternative rankings. In addition, campaign budget effectiveness analysis was conducted by comparing the preference values generated by the Weighted Product method with the budget used in each campaign period. The results indicate that the developed system is capable of providing more objective, consistent, and data-driven budget allocation recommendations compared to manual approaches. Furthermore, the effectiveness analysis successfully identified campaign periods that delivered the most optimal performance relative to the budget spent, thereby supporting future campaign evaluation and planning.
Perancangan dan Implementasi Aplikasi Penjadwalan Mengajar Guru Berbasis Web Menggunakan Metode R&D dan Agile Ria Ester; Yuliana
OKTAL : Jurnal Ilmu Komputer dan Sains Vol 5 No 08 (2026): OKTAL : Jurnal Ilmu Komputer Dan Sains
Publisher : CV. Multi Kreasi Media

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Abstract

Teacher scheduling is an important part of educational activity management. Scheduling that is still performed manually using Excel templates creates several problems, including a relatively long preparation time, potential scheduling conflicts, difficulty identifying teacher availability, and delays in adjusting schedules when changes or substitute teachers are required. This study aims to design and implement a web-based teacher scheduling application to improve the efficiency and effectiveness of schedule management. The research uses the Research and Development (R&D) method with an Agile Study approach. Data were collected through observation, interviews, and literature study. The system was developed using PHP, HTML, CSS, JavaScript, Bootstrap, and MySQL. The implementation produced a system capable of managing teacher data, class data, subjects, teaching schedules, teacher availability, substitute teachers, and schedule reports in PDF and Excel formats. Black Box Testing on the reported scenarios resulted in passed status, while White Box Testing was used to evaluate the program logic flow. User evaluation involving 20 respondents and 15 questions resulted in 271 Yes responses out of 300 responses, or 90.33%, placing the system in the Highly Feasible category. The results indicate that the application supports more structured schedule management and facilitates schedule adjustments and substitute teacher assignments.
Perancangan Sistem Informasi Penerimaan Siswa Baru Berbasis Website dengan Metode Prototype (Studi Kasus: SMK Mitra Bintaro) Melyana Sofianti; Mufidah Karimah
OKTAL : Jurnal Ilmu Komputer dan Sains Vol 5 No 08 (2026): OKTAL : Jurnal Ilmu Komputer Dan Sains
Publisher : CV. Multi Kreasi Media

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Abstract

The new student registration process, which is still carried out using conventional methods, makes the process feel slow and inefficient. In addition, relying on paper documents can lead to data loss or damage, and disorganized registration data can make it difficult for staff to manage and retrieve information about prospective students. These problems emphasize the necessity to create a more efficient and automated system. This research intends to create and develop an online New Student Admission Information System to help staff handle applicant information and minimize the number of applicants visiting the school in person. The Prototype method is the system development approach employed, facilitating ongoing interaction and assessment between users and developers. The findings of the research show that the created system streamlines the registration process, data handling, administration of entrance exams, management of selection results, and re-registration payments enhancing their efficiency, speed, and transparency. By implementing this system, the new student admission procedure is streamlined and reduces mistakes in data management.
Prototype SmartHome Lampu dan Kipas Otomatis Menggunakan Sensor Cahaya LDR dan Suhu Berbasis NodeMCU Esp8266 dengan Kendali Telegram Sewaka; Maehcel Rahman
OKTAL : Jurnal Ilmu Komputer dan Sains Vol 5 No 08 (2026): OKTAL : Jurnal Ilmu Komputer Dan Sains
Publisher : CV. Multi Kreasi Media

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Abstract

The widespread use of the Internet has given birth to a new concept called the Internet Of Things (IoT). This concept is based on expanding the use and benefits of the Internet by embedding a controller and sensors that can connect and share data continuously. Therefore, there is a prototype Smart Home system that can control automatic lights, and automatic fans with access control using the Telegram application. Using LDR and DHT22 sensors are sensors used in this tool with a microcontroller, namely NodeMCU ESP-8266. LED sensor detects a light intensity value of less than 600. The fan is the output result of the DHT22 sensor when the sensor detects a temperature of more than 33o Celsius. The data obtained from the sensor will be received and sent to the NodeMCU for later to be displayed on the telegram application as a form of monitoring and the user can control it through the telegram application.
Penerapan Metode Quantitative Association Rule untuk Optimalisasi Seleksi Calon Siswa Baru SD IT Seluas Cita Nusantara Aniq Astofa; Eko Sutono
OKTAL : Jurnal Ilmu Komputer dan Sains Vol 5 No 09 (2026): OKTAL : Jurnal Ilmu Komputer Dan Sains
Publisher : CV. Multi Kreasi Media

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Abstract

This study examines the application of the Quantitative Association Rule method to optimize the selection process of new students at SD IT Seluas Cita Nusantara. The main problem faced by the school is the difficulty in determining objective and relevant selection criteria; therefore, the aim of this research is to identify patterns of relationships among variables that support more accurate decision-making. The method employed is Association Rule Mining using parameters of support, confidence, and lift to analyze student candidate data. The results indicate that academic test scores are the dominant factor influencing selection success, with a confidence level of 0.82 and lift of 1.45. Non-academic factors such as participation in extracurricular activities (confidence 0.68; lift 1.20) and strong parental support (confidence 0.75; lift 1.30) also show significant contributions. The analysis reveals that combining academic and non-academic factors enhances the comprehensiveness of the selection process. The conclusion is that the Quantitative Association Rule method is effective in supporting schools to make more transparent, objective, and data-driven decisions. It is suggested that schools integrate these analytical findings into admission policies to improve accuracy and fairness in student selection.
Rancang Bangun Sistem CRM Berbasis Web Dengan Algoritma Apriori untuk Analisis Pembelian dan Pengingat Pelanggan Abdu Muflihun; Eka Yuni Titik Artaningsih
OKTAL : Jurnal Ilmu Komputer dan Sains Vol 5 No 09 (2026): OKTAL : Jurnal Ilmu Komputer Dan Sains
Publisher : CV. Multi Kreasi Media

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Abstract

PT Inscienpro Instrumen Indonesia faces challenges in managing customer data manually using spreadsheets, leading to data errors and missed repeat order opportunities. This study aims to design and develop a web-based CRM system integrated with the Apriori algorithm to analyze purchase history and provide automated follow-up reminders. The system was developed using the Waterfall model with Laravel and MySQL. The system consists of 7 main tables and 10 functional modules. The Apriori algorithm was tested on 100 transactions, generating 3 frequent 2-itemsets with support values of 24%-27% and association rules with confidence reaching 100%, such as Borax Test Kit - Formaldehyde Test Kit. Black Box testing on 8 modules showed 100% success across 42 scenarios, while White Box testing validated 5 critical modules covering login, customer, product, transaction, and follow-up features. The follow-up reminder system successfully generates schedules based on 12-month calibration and expiry periods with 5 filtering statuses. This integrated system provides valuable insights for data-driven decision-making and improves operational efficiency in customer relationship management at the company.
Sistem Pendukung Keputusan Pemilihan Jurusan Kuliah Berdasarkan Minat, Bakat dan Tes Akademik Siswa Dengan Metode TOPSIS (Studi Kasus: SMAN 3 Pandeglang) Herlan Firdaus; Aprinia Handayani
OKTAL : Jurnal Ilmu Komputer dan Sains Vol 5 No 09 (2026): OKTAL : Jurnal Ilmu Komputer Dan Sains
Publisher : CV. Multi Kreasi Media

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Abstract

Choosing a university major is a crucial decision for high school students, as it impacts their educational trajectory and career planning. In practice, however, the selection process is often influenced by subjective considerations and fails to fully account for the alignment between a student's interests, aptitudes, and academic abilities. This situation is evident at SMAN 3 Pandeglang, where a shortage of Guidance and Counseling (BK) teachers prevents the optimal delivery of major-selection counseling services to all students. This study aims to develop a web-based Decision Support System (DSS) to assist students in obtaining major recommendations based on their interests, aptitudes, and academic abilities, utilizing the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method. The decision-making criteria consist of interests, aptitudes, and academic performance, with respective weights of 40%, 40%, and 20%. The alternatives comprise 15 university majors: Informatics Engineering, Information Systems, Electrical Engineering, Civil Engineering, Medicine, Nursing, Pharmacy, Psychology, Management, Accounting, Law, Communication Science, Architecture, Graphic Design, and Teacher Education. The system was developed using the PHP programming language, a MySQL database, and the Waterfall development model. The TOPSIS process involves normalizing the decision matrix, applying weights, determining positive and negative ideal solutions, calculating distances to the ideal solutions, and computing preference values ​​to rank the alternatives. The results demonstrate that the system can process data from interest, aptitude, and academic tests and generate major recommendations based on the highest preference values. System testing confirms that core functions—including test data input, data processing, TOPSIS calculations, and the presentation of recommendations—operate as intended. This system serves as a valuable tool for students and guidance counselors, facilitating a more structured and data-driven approach to selecting a university major.
Sistem Penunjang Keputusan Prioritas Home Visit Ibu Hamil Menggunakan Metode TOPSIS (Studi Kasus: Klinik Bidan Nining) Azzahra Ridwan
OKTAL : Jurnal Ilmu Komputer dan Sains Vol 5 No 09 (2026): OKTAL : Jurnal Ilmu Komputer Dan Sains
Publisher : CV. Multi Kreasi Media

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Abstract

Bidan Nining's Clinic faces challenges with manual and subjective scheduling for pregnant women's home visits, risking suboptimal patient care. This research aimed to develop a web-based Decision Support System (DSS) to solve this problem by implementing the TOPSIS method. This method ranks priorities based on the criteria of Medical Condition, Urgency, and Patient Location. The research results, which are the main focus of this abstract, show that the developed system successfully provides a platform that objectively generates a priority order for visits, assisting midwives in making more efficient and targeted decisions.
Penerapan Sistem Pendukung Keputusan Berbasis Web yang Efektif Untuk Pemilihan Produk Terbaik Menggunakan Metode SMART dalam Meningkatkan Keputusan Pemilihan Produk Berkualitas Studi Kasus: Toko Sumber Rezeki Deri Andragi; Joko Priambodo
OKTAL : Jurnal Ilmu Komputer dan Sains Vol 5 No 09 (2026): OKTAL : Jurnal Ilmu Komputer Dan Sains
Publisher : CV. Multi Kreasi Media

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Abstract

This study develops and implements a web-based Decision Support System using the SMART method to assist in selecting the best products at Sumber Rezeki Store, addressing the problem of manual product selection based on subjective experience. The system was developed using the Waterfall method with PHP, Laravel, and MySQL, implementing SMART through criteria determination (price, quality, durability, demand), weighting, normalization, utility calculation, and ranking. Black Box testing confirmed all features functioned according to user needs, while White Box testing verified the algorithm logic with a Cyclomatic Complexity value of 4 and 4 independent paths successfully executed. The SMART calculation results showed that product PLD-65UG9959 achieved the highest score of 0.750, outperforming other products and being recommended as the best choice. The system successfully reduced decision-making time from hours to minutes and eliminated subjectivity in product assessment. This research concludes that the web-based DSS with the SMART method effectively improves product selection decisions, providing objective, accurate, and transparent recommendations. The system successfully reduces subjectivity and errors, increases efficiency, and supports business competitiveness at Sumber Rezeki Store through data-driven decision-making.
Sistem Pendukung Keputusan untuk Penerimaan Guru Terbaik Menggunakan Metode AHP dan SAW pada SMK Negeri 1 Mandrehe Barat Berbasis Web Yatatema Zai; Galuh Saputri
OKTAL : Jurnal Ilmu Komputer dan Sains Vol 5 No 10 (2026): OKTAL : Jurnal Ilmu Komputer Dan Sains (INPRESS)
Publisher : CV. Multi Kreasi Media

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Abstract

The rapid development of information technology demands educational institutions to continuously improve the quality of their human resources, particularly through the evaluation and selection of professional and objective educators. At SMK Negeri 1 Mandrehe Barat, the process of selecting the best teacher has occasionally faced challenges regarding objectivity and efficiency in handling multiple assessment criteria. Therefore, a decision support system capable of processing various assessment criteria accurately and transparently is required. This study aims to build a web-based decision support system for selecting the best teacher by combining the Analytical Hierarchy Process AHP and Simple Additive Weighting SAW methods. The AHP method is used to systematically calculate the weight of each assessment criterion, while the SAW method is utilized to rank teacher alternatives based on their total preference values. The system was developed using the waterfall model, which includes requirements analysis, system design, implementation, and testing using the black-box method. This web-based application was built to facilitate the school administration in managing assessment data and displaying ranking results quickly and informatively. The results indicate that the combination of the AHP and SAW methods can provide objective, effective, and transparent recommendations for selecting the best teacher for the management of SMK Negeri 1 Mandrehe Barat.

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