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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 1,093 Documents
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Implementasi Algoritma Knuth-Morris-Pratt pada Perancangan Aplikasi Chatbot Kamus Istilah Komputer Berbasis Web Arif Iik Haerudin
OKTAL : Jurnal Ilmu Komputer dan Sains Vol 1 No 11 (2022): OKTAL : Jurnal Ilmu Komputer Dan Sains
Publisher : CV. Multi Kreasi Media

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Abstract

The search process in the computer term dictionary will be very helpful for anyone who wants to know a computer term, but the search process is slow and time-consuming where it makes it difficult for users because they have to search for terms manually by opening each page one by one. A large number of dictionary pages, from alphabet A to alphabet Z. To speed up and simplify the search process, an algorithm is needed to maximize the search process. In this study, we will implement the knuth-morris-pratt algorithm in the design of a web-based computer term dictionary chatbot application using a system development model, namely the waterfall model. The results of this study are in the form of a web-based computer term dictionary chatbot application, with the existence of this chatbot application the search for a computer term becomes faster and more efficient.
Sistem Pendukung Keputusan Siswa/i Yang Berhak Menerima Bantuan Sosial Dengan Menggunakan Metode Decision Table (Studi Kasus SMA Dharma Karya UT Tangerang Selatan) Ismail Marjuki; Sulasih
OKTAL : Jurnal Ilmu Komputer dan Sains Vol 2 No 03 (2023): OKTAL : Jurnal Ilmu Komputer Dan Sains
Publisher : CV. Multi Kreasi Media

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Abstract

In the provision of social assistance funds currently at SMA Dharma Karya UT, South Tangerang, they still use the manual method, so that the documents that are a requirement for obtaining social assistance funds are not stored properly, making it difficult for the school to track or validate documents, so that there is often an inaccuracy in the recipient of social assistance funds, and when the document is needed the school has to look for the existing documents one by one, so it takes a lot of time to get the one document you are looking for.
Keunggulan Komperatif Metode Weighted Product (WP) Dalam Pemilihan Karyawan Terbaik Berbasis Web (Studi Kasus: Naw Shop) Muhammad Muslih Anwar; Ferry Agus Sianipar
OKTAL : Jurnal Ilmu Komputer dan Sains Vol 1 No 11 (2022): OKTAL : Jurnal Ilmu Komputer Dan Sains
Publisher : CV. Multi Kreasi Media

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Abstract

The development of information technology, especially the Internet, is a driving factor for the development of e-commerce. The Internet is a global network that unites computer networks around the world, thus enabling communication and interaction between one another throughout the world. Naw Shop is one of the businesses in the field of online sales that sells various kinds of baby needs. In order to maintain and improve the quality of employees, employers need to conduct an employee performance appraisal in the form of selecting the best employees. Selection of the best employees is an important aspect in performance management. The purpose of this research is to create a decision support system to assist leaders in making decisions to select the best employees according to the criteria that have been determined at the Naw Shop. And at the same time the comparison of the Simple Additive Weighting (SAW) method with the Weighted Product (WP) method in determining the selection of the best employees at the Naw Shop. The results of this study are by implementing a Decision Support System in finding the best employees at Naw Shop with an easyto-understand display system so that it can make it easier for leaders to evaluate employees and find out the results quickly.
IMPLEMENTASI SISTEM PENDUKUNG KEPUTUSAN MENENTUKAN KARYAWAN TERBAIK MENGGUNAKAN METODE PROFILE MATCHING DAN MABAC (Studi Kasus: PT. Victory Offset Prima) Ridwan Hidayat Tullah; Elfi Fauziah
OKTAL : Jurnal Ilmu Komputer dan Sains Vol 1 No 11 (2022): OKTAL : Jurnal Ilmu Komputer Dan Sains
Publisher : CV. Multi Kreasi Media

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Abstract

PT Victory Offset Prima Jl. Aria Jaya Santika Desa No. # 8, Pasir Bolang, Kec. Tigaraksa, Tangerang Regency, Banten 15720, is one of the companies engaged in the printing industry. Have a work appraisal evaluation for its employees to determine the best employees which is carried out every year. However, the assessment is still done manually and is sometimes not objective and takes quite a bit of time. So to solve the problems above, a web-based Decision Support System is needed using the PHP Programming Language and MySQL database as data storage media and the application of Profile Matching and MultiAttributive Border Approximation Area Comparison (Mabac) methods.
Perancangan Aplikasi Kriptografi Menggunakan Algoritma RC4 (Rivest Code 4) Untuk Mengamankan Pesan Email di PT CREATIFACTORY Rifki Darmawan; Sewaka
OKTAL : Jurnal Ilmu Komputer dan Sains Vol 2 No 03 (2023): OKTAL : Jurnal Ilmu Komputer Dan Sains
Publisher : CV. Multi Kreasi Media

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Abstract

The development of information technology that is so advanced rapidly has made information a basic need for everyone who has it. To be able to secure the information we have, one of the techniques for securing data and information is to use cryptography. Therefore, the author makes an application that can maintain the confidentiality of information from data theft crimes, and the application in question is a web-based email cryptography application. This application can be used to secure the data contained in the user's email. In this application the cryptographic algorithm that will be used is the Rivest Code 4 (RC4) algorithm. RC4 is a stream cipher type algorithm that processes input data units. The Rivest Code 4 (RC4) algorithm is also part of a symmetric algorithm, where the encryption and decryption processes have the same key. Making this application using the PHP programming language. The modeling method in making this application is the UML (Unified Modeling Language) method. The result of this research is an email security cryptography application that is able to encrypt and decrypt documents in formats such as *ai, *ps, *indd, *docs, *xls, *pdf, *ppt, *svg etc, using the Rivest Code 4 (RC 4) algorithm web based.
SISTEM PENDUKUNG KEPUTUSAN PENENTUAN PEMAIN TERBAIK MENGGUNAKAN METODE PROFILE MATCHING Studi Kasus: SSB Putra Marinir (PUMA) Muammar Khaddafi; Suryaningrat
OKTAL : Jurnal Ilmu Komputer dan Sains Vol 1 No 12 (2022): OKTAL : Jurnal Ilmu Komputer dan Sains
Publisher : CV. Multi Kreasi Media

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Abstract

In determining the best player at SSB Putra Mandiri (PUMA) Jakarta, there are several criteria factors in making decisions so that they get the right decision. The criteria are skill, personality and responsibility. At this time, the process of evaluating the performance of players at SSB Putra Mandiri (PUMA) does not yet exist, so it cannot determine the decision of the best player in Putra Mandiri (PUMA) Jakarta. For this reason, the decision support system (DSS) is very helpful in terms of making decisions, which are then analyzed using the profile matching method. By using the profile matching method, SSB Putra Mandiri (PUMA) Jakarta can make decisions in assessing the performance of players according to their abilities. This study was to determine the ranking/weighted value in the assessment of the best players at SSB Putra Mandiri (PUMA) Jakarta
Sistem Pengendali Otomatis Kanopi Pintar Secara Realtime Menggunakan Mikrokontroler ESP 32 Berbasis Web Atika Sopiah; Samsoni
OKTAL : Jurnal Ilmu Komputer dan Sains Vol 2 No 03 (2023): OKTAL : Jurnal Ilmu Komputer Dan Sains
Publisher : CV. Multi Kreasi Media

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Abstract

The monitoring and controlling system is a field of technology that plays a major role in the industrial world as well as the equipment used by humans on a daily basis. Some human jobs can be replaced by technology through remote monitoring. This research is intended to make a monitoring system and controlling the canopy in a shop or housing. The purpose of this research is to create an automatic and controlling tool that functions to control the canopy through a web page that is also equipped with a rain sensor, temperature sensor and light sensor which functions to receive input from environmental conditions processed by the esp32 microcontroller, to move the canopy to open and close the canopy. automatically or manually with the help of a servo motor and a web page as a control panel. This system was developed using the PHP programming language, the MYSQL database as data storage and the XAMPP server application, which functions to control the canopy remotely via a wireless network.
PERANCANGAN SISTEM PENGAIRAN OTOMATIS PADA MEDIA TANAMAN BUAH DALAM POT (TABULAMPOT) BERBASIS INTERNET OF THINGS Effendy Candra Sasmoro; Devi Yunita
OKTAL : Jurnal Ilmu Komputer dan Sains Vol 2 No 02 (2023): OKTAL : Jurnal Ilmu Komputer Dan Sains
Publisher : CV. Multi Kreasi Media

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Abstract

The use of technology in agriculture is expected to increase the yield of fruit farming, especially the cultivation of fruit plants in pots. This situation is supported by Green Tabulampot Nanda which has various kinds and types of fruit plants in pots such as avocado, guava, mango, orange, longan which is used in containers in the form of pots, panter bags and tabulampot using planting media in the form of soil, husks, and manure or compost that easily absorbs water so tabulampot requires regular watering. By utilizing the Wemos D1 WiFi ESP8622 microcontroller hardware which is used as an internet connection between the Wemos D1 WiFi ESP8622 to a web server via the internet network and the Soil Moisture Sensor is an indicator used as a soil moisture detector which is accessed by the microcontroller to be stored in the database so that it is expected to be able to makes it easier for tabulampot owners to monitor and irrigate tabulampot automatically based on soil moisture value settings and scheduled time settings so that tabulampot can be fulfilled so that plants are healthy, able to flower and bear fruit as desired.
DETEKSI PLAGIARISME PADA FILE DOKUMEN BERDASARKAN TINGKAT KESAMAAN DENGAN MENGGUNAKAN METODE ALGORITMA RABIN-KARP BERBASIS WEB Hardison; Maulana Ardhiansyah
OKTAL : Jurnal Ilmu Komputer dan Sains Vol 2 No 03 (2023): OKTAL : Jurnal Ilmu Komputer Dan Sains
Publisher : CV. Multi Kreasi Media

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Abstract

Plagiarism is always in the spotlight, not least in the academic sector both from school to college level. Therefore, prevention and early detection need to be done to minimize this plagiarism action. There are several methods that can be implemented, one of which uses the Rabin-Karp algorithm. Rabin-Karp algorithm is one of the string matching, algorithms that can be used to measure the level of similarity of text. The thesis aims to design and build an application using the Rabin-Karp algorithm to find the percentage of similarities in two document files in the form of tested text. According to the results of tests conducted by (Priambodo, 2018) between the original document and the document tested from the test results of 10 text documents using the Rabin-Karp algorithm, resulting in the largest accuracy rate of 47.58%. While the smallest accuracy rate is 19.28%. While the results of the analysis conducted from 10 documents tested with a value of k-gram 1, have obtained the largest percentage of similarity, which is 57.14% and the smallest at 28.57%. Where if the similarity value <30% is included in mild plagiarism, 30%-70% moderate plagiarism and >70% large plagiarism.
Sistem Pakar Untuk Diagnosa Penyakit Hewan Sapi Menggunakan Metode Promethee Remis Putra Tafonao; Galuh Saputri
OKTAL : Jurnal Ilmu Komputer dan Sains Vol 2 No 02 (2023): OKTAL : Jurnal Ilmu Komputer Dan Sains
Publisher : CV. Multi Kreasi Media

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Abstract

Expert systems are part of artificial intelligence. Expert systems can be used to diagnose cow disease from the symptoms experienced by using the knowledge of experts and veterinarians. The data for this study include symptom data, disease data, and rule data using the Promethee (Preference Ranking Organization Methods for Enrichment Evaluations) method. As a decision-making tool by comparing the weight of each symptom between one disease and another by using the value of preference criteria. Cow farming is a promising business, caution must be taken when running a livestock business regarding diseases that attack cows. The expert system is able to diagnose livestock disease results quickly and accurately for primary treatment before being handled directly by veterinarians. In this expert system for diagnosing cow diseases using the Promethee method, the main process is to add up the paired comparison deviation values ​​for each disease and add up the ranking values ​​in the form of Entering Flow, Leaving Flow, and Net Flow. At the output of the system as many as 42 test data produces an accuracy rate of 90.47% and is declared feasible and works well. The difference in the level of accuracy for each type of preference affects the determination of the weight of each symptom and the determination of the limit value and trend value in the calculation. The results of the questionnaire from 14 users using the System Usability Scale (SUS) testing method 84% said that the usability of the system evaluated was above average (good).

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