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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) TEKNIK INFORMATIKA Jurnal Teknologi dan Manajemen Informatika Telematika : Jurnal Informatika dan Teknologi Informasi Jurnal Inovasi Teknologi Pendidikan Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer Sinkron : Jurnal dan Penelitian Teknik Informatika Paradigma Jurnal Ilmiah FIFO JURNAL MEDIA INFORMATIKA BUDIDARMA SMARTICS Journal Faktor Exacta Rang Teknik Journal JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) STRING (Satuan Tulisan Riset dan Inovasi Teknologi) JURNAL TEKNOLOGI INFORMASI Jurnal Mantik Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Scientific Journal of Informatics CICES (Cyberpreneurship Innovative and Creative Exact and Social Science) Journal of Intelligent Decision Support System (IDSS) Community Development Journal: Jurnal Pengabdian Masyarakat Jurnal Teknologi Informatika dan Komputer Journal of Computer Networks, Architecture and High Performance Computing Jurnal Indonesia : Manajemen Informatika dan Komunikasi JUSTIN (Jurnal Sistem dan Teknologi Informasi) Jurnal Ilmiah Multidisiplin (JUKIM) JURNAL ABDI MASYARAKAT INDONESIA (JAMIN) SAGA: Journal of Technology and Information Systems Jurnal Indonesia : Manajemen Informatika dan Komunikasi
Ratih Titi Komalasari
Informatika, Universitas Nasional Jakarta
Aerospace Engineering Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Public Health Social Sciences Other

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PENERAPAN ALGORITMA FISHER-YATES UNTUK MENGACAK SOAL PENERIMAAN FORUM STUDI MAHASISWA INFORMATIKA UNIVERSITAS NASIONAL Afif Maulana; Fauziah Fauziah; Ratih Titi Komalasari
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 5, No 2 (2020)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v5i2.1808

Abstract

Di masa pandemi ini, pengetahuan menjadi hal tersulit yang  bisa didapatkan oleh peserta didik Universitas Nasional, terlebih lagi untuk mahasiswa Informatika yang notabene nya membutuhkan arahan lebih lanjut untuk menempuh bidang ilmu kejuruan. Demikian pula, sistem kurikulumnya, dimana sistem pembelajaran untuk mata kuliah kejuruan telah dihilangkan yang menyebabkan masalah besar terhadap masa depan mahasiswa Informatika dalam menentukan karirnya. Dengan begitu, mahasiswa informatika tidak akan mampu menghadapi tuntutan dunia kerja terhadap mutu pendidikan di Universitas Nasional. Pembelajaran jarak jauh atau e-learning merupakan salah satu solusi yang tepat untuk menunjang kemampuan mahasiswa informatika dalam memilih bidang ilmu kejuruan dalam bentuk forum pelatihan mahasiswa. Pada sistem ini, mahasiswa akan diberikan pilihan untuk memilih tiga bidang kejuruan yang tersedia untuk menentukan ke arah mana mereka akan berlabuh. Pada sistem ini juga, keputusan akan ditentukan berdasarkan soal yang diberikan dalam bentuk pilihan ganda dan di acak menggunakan algoritma Fisher-Yates untuk menghindari kecurangan yang terjadi. Kelebihan algoritma Fisher-Yates terletak pada metode pengacakannya yang efektif dan tidak berulang-ulang dan menghasilkan persoalan yang variatif. Maka dapat disimpulkan bahwa rancang bangun sistem forum pelatihan mahasiswa informatika pada Universitas Nasional dapat menambah minat belajar dan mampu menentukan bidang keilmuan berdasarkan hasil dari kemampuan mereka.
Implementasi Metode Cost Plus Pricing dan Algoritma Forward Chaining Berbasis Web Sapto Wibowo; Ratih Titi Komala Sari
STRING (Satuan Tulisan Riset dan Inovasi Teknologi) Vol 7, No 2 (2022)
Publisher : Universitas Indraprasta PGRI Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/string.v7i2.14044

Abstract

Nowadays the economy is an important factor in the survival of the society as well as the state. One of the competence needed as a strategy for economic problems in terms of buying and selling goods offered, particularly the selling price of the product. As a support for the Society 5.0 era, this research is conducted to ease the setting of the selling price with economic methods and algorithms. The technique used to set the selling price is Cost Plus Pricing. In the application of the method, this system will generate the product selling price collaborated with the Forward Chaining algorithm to provide recommendations on the profit margin determined based on several facts that have been processed from a set of kaggle data. These recommendations can support or compare the value of the margin that a user wants. The test is carried out with the Stress Testing system using the Apache Jmeter tools resulting in an error value of 1%, std.deviation and a good increase in throught so that the server performance of the selling price determination application can still survive well.
Perbandingan Metode Euclidean Distance dan Haversine Distance pada Aplikasi Sistem PPDB dan algoritma K-Means Untuk Menentukan Kebijakan Peraturan Zonasi Mustofa Kamal Syarifudin; Ratih Titi Komala Sari
Faktor Exacta Vol 15, No 4 (2022)
Publisher : LPPM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/faktorexacta.v15i4.14795

Abstract

At this time, registration for public schools is straightforward to do online with a device via a web browser without the need to install an application that can ease the device's performance. Still, the government regulates it through a zoning policy that makes students register for schools close to their homes. This study examines and compares which Euclidean and Haversine algorithms are more accurate to implement in making an application that determines the distance between the school and the student's house. Then the school will decide which students can be accepted using the K-Means algorithm, as has been done by SMPN 1 Tigaraksa, which results that the haversine algorithm has an average accuracy rate of 99.71%, an average error of 0.29% with an average distance difference of 1.86 meters. In comparison, Euclidean has an accuracy rate of 99.65%, an average -the average error is 0.35% with the difference in average distance at the actual length of 2.42 meters. Therefore, the difference in distance between the two algorithms obtained is 1.27 meters. And the K-Means Algorithm can be the proper method for making decisions because the algorithm groups according to the farthest, medium, and closest distances
PENGEMBANGAN ABSENSI ONLINE SECARA REAL TIME ALGORITMA SEQUENTIAL SEARCHING MENGGUNAKAN TEKNOLOGI GPS BERBASIS WEB Ikbal Danu Setiawan; Ratih Titi Komala Sari
Jurnal Indonesia : Manajemen Informatika dan Komunikasi Vol. 4 No. 3 (2023): Jurnal Indonesia : Manajemen Informatika dan Komunikasi (JIMIK)
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) AMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jimik.v4i3.288

Abstract

The attendance application system is important in an era like this, where many large and small companies that initially used fingerprints to be absent or absent manually by admins have now switched to using online attendance. On the one hand, if you are still using manual attendance documents, it is very dangerous to lose or be damaged, therefore there is no web-based use. This attendance is connected to GPS so that the employee's location can be detected when absent. Therefore, Online Attendance in Real Time Sequential Search Algorithm Using Web-Based GPS (Global Positioning System) Technology is very helpful or makes it easier for admins to recap the manpower whether he is not around the office or not. Attendance using this application is very efficient and time-saving and what often happens in small companies is that the employee is no longer there but the employee is not yet in the office, which is detrimental to the company and operations. To make a report using the Online Attendance method in Real Time, Sequential Searching Algorithm Using Web-Based GPS (Global Positioning System) Technology, which requires interviews, research methods, and libraries. Then the software uses the waterfall method which includes: Design, Needs Analysis, Testing, and then Implementation.
The Impact of Big Data on Enterprise Architectural Design: A Conceptual Review Ira Diana Sholihati; Bayu Yasa Wedha; Sari Ningsih; Ratih Titi Komala Sari
Journal of Computer Networks, Architecture and High Performance Computing Vol. 6 No. 1 (2024): Article Research Volume 6 Issue 1, January 2024
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v6i1.3449

Abstract

A conceptual analysis of the impact of big data on enterprise architecture design is provided in this article. Within the framework of expanding digitalization, big data has emerged as a pivotal component in delineating the strategy and framework of organizations. The objective of this study is to investigate the ways in which big data can impact and facilitate the growth of efficient enterprise architecture. Qualitative analysis is the method utilized by researchers to comprehend the intricacies of the interaction between enterprise architecture and big data. This article examines several facets by conducting an extensive review of the literature, including the ways in which big data can facilitate the enhancement of analytical capabilities, innovation in business processes, and strategic decision-making. Emerging challenges, including data security, privacy, and the necessity for IT infrastructure adaptation, are also considered in this study. The outcomes of the review indicate that the implementation of big data in enterprise architecture may substantially alter business strategies and operations. These encompass enhanced system adaptability, customized service provision, and predictive functionalities. Nonetheless, these modifications necessitate modifications to privacy policies, risk management, and data governance. This study presents novel findings regarding the influence of big data on enterprise architecture and provides researchers and practitioners with recommendations for developing and executing successful big data strategies. This research thereby enhances the current body of literature and offers practical guidance in the field.
Pengembangan Aplikasi Android Untuk Konversi Gambar ke Teks dengan Flutter dan OCR Menggunakan Metode Jaro-Winkler Rifqi Aldy Al Hafizh Harahap; Fauziah Fauziah; Ratih Titi Komala Sari
CICES (Cyberpreneurship Innovative and Creative Exact and Social Science) Vol 10 No 2 (2024): CICES
Publisher : UNIVERSITAS RAHARJA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/cices.v10i2.3405

Abstract

The need for tools for effective image to text conversion is increasing as a result of increasing reliance on mobile applications for daily activities and constraints in cross-platform application development. Addressing this demand by creating an Android application that uses Flutter and Optical Character Recognition (OCR) technology is the focus of this research. In particular, Jaro Winkler's method, which improves the accuracy of text extraction, is the main focus of this research. The research methodology uses a systematic approach, starting with a literature review to create a theoretical foundation and discover differences in current technology. The development uses Flutter's cross-platform capabilities and includes OCR for text extraction. The Jaro Winkler method is used to improve accuracy by increasing the similarity measure between extracted text and actual text, especially for unclear images. Despite issues with low-resolution images, the app has the ability to convert images to text accurately, as demonstrated by app testing and evaluation. The app's performance shows the possibility that a combination of Flutter, OCR, and Jaro Winkler's method can help create an effective image to text conversion tool. But the research also found some things that need improvement, especially in processing low-quality images and refining algorithms for better accuracy. Implementation of the Jaro-Winkler algorithm is used accurately and significantly. This is proven by a comparison of two sample words, "BRI" and "BNI," which produces a result of 0.7778, or a percentage value of 77.3% through manual calculation. Based on a comparison of the values in the application and calculations using Python with floating-point representation, there is a small difference in the final results, with a difference of only 3%, which results in a result of 80%..
Optimalisasi Aplikasi Pengendalian Skripsi Menggunakan Algoritma Dynamic Priority Scheduling dan Sequential Search Arief, Arya; Sari, Ratih Titi Komala; Mardiani, Eri
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 8 No 3 (2024): JULY-SEPTEMBER 2024
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.v8i3.2219

Abstract

Thesis registration in the academic environment often faces priority and time management problems, therefore an effective and responsive approach is needed. This study suggests optimizing the Dynamic Priority Scheduling and Sequential Search algorithms to improve the performance of thesis control applications. Dynamic characteristics of students and service requests regulate submission priorities and a sequential search algorithm improves the search for thesis-related information in the database. This research discusses the ideas of both algorithms and how they can improve system efficiency by integrating them.
Algoritma Natural Language Processing Untuk Aplikasi Penerjemah (Indonesia – Jawa) Menggunakan Metode Speech Processing Ghirrid, Aria Andros; Sari, Ratih Titi Komala; Aldisa, Rima Tamara
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 8 No 3 (2024): JULY-SEPTEMBER 2024
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.v8i3.2244

Abstract

Javanese is one of the most widely used regional languages in Indonesia. Apart from that, in several countries such as Suriname, the Netherlands and Malaysia, Javanese is used. The aim of this research is to create a translator application, allowing users to convert speech into written text. In creating a Speech to Text translation application, the Natural Language Processing (NLP) algorithm has a major role. NLP algorithms are used to understand the structure of human language, recognize entities, and translate complex speech into readable text. This study discusses the design and development of a Speech to Text translator application using the NLP algorithm. This application uses deep learning models that have been trained to understand user language variations, accents and intonation.
Implementation of Cyber-Security Enterprise Architecture Food Industry in Society 5.0 Era Sari, Ratih Titi Komala; Hindarto, Djarot
Sinkron : jurnal dan penelitian teknik informatika Vol. 7 No. 2 (2023): Research Article, Volume 7 Issue 2 April, 2023
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v8i2.12377

Abstract

The application of Enterprise Architecture is an important topic in the development of the food industry in the Society 5.0 Era. Enterprise Architecture is used to integrate and optimize corporate information systems so as to generate higher business value. This study aims to evaluate the effectiveness of Enterprise Architecture implementation in improving the performance of the food industry in Era Society 5.0 and implementing Cyber-Security as a defense against the system to be implemented. This study uses a case study method by collecting data from several companies in the food industry. The data collected includes information about the implementation of Enterprise Architecture, business performance, and factors that influence the successful implementation of Enterprise Architecture. The results of the study show that the implementation of Enterprise Architecture has helped companies improve their business performance, especially in terms of operational efficiency, better decision making, and the ability to adapt to changes in the business environment. Factors that influence the successful implementation of Enterprise Architecture include management support, involvement of business users, and availability of resources. In conclusion, the application of Enterprise Architecture can help the food industry in Era Society 5.0 improve its business performance. However, the implementation of Enterprise Architecture must be accompanied by strong management support, greater involvement of business users, availability of adequate resources and adequate Cyber-Security. The novelty of this research is implementing Cyber-Security as protection in implementing Enterprise Architecture.
Implementation of Naïve Bayes and K-NN Algorithms in Diagnosing Stunting in Children Wulan Widhari; Agung Triayudi; Ratih Titi Komala Sari
SAGA: Journal of Technology and Information System Vol. 2 No. 1 (2024): February 2024
Publisher : CV. Media Digital Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58905/saga.v2i1.242

Abstract

Indonesia faces a huge potential risk of stunting, as revealed in the Indonesian Nutrition Status Analysis according to 2022 data, the stunting rate reached 24.22% in 514 districts / cities throughout Indonesia. To prevent stunting in children, early detection can be done. This research was conducted to compare the performance of two algorithms Naive Bayes and K-NN to predict stunting cases in children, to get a better picture of how classification algorithms predict stunting cases with a better level of accuracy and responsiveness, comparison experiments of several algorithms are needed using specific datasets to develop an optimal classification model. Based on the results of performance testing on the K-Nearest Neighbor and Naive Bayes methods in testing the performance of accuracy, precision, recall, and f1-score, the results of performance testing on the naïve bayes method obtained performance values on 30% testing data are accuracy of 71%, precision 71%, recall 76%, and f1-score 73%. The performance results of the K-NN method using the euclidean distance measurement obtained the best performance value, namely accuracy of 97%, precision of 98%, recall of 96%, f1-score of 97% at a value of k = 3. Based on the performance results of the comparison of the Naive Bayes and K-NN methods, it shows that the best classification method on the stunting dataset is the K-NN method because it gets better performance than the Naive Bayes method.
Co-Authors Abdul Aziz Hasibuan Adinne Islamiyati Aditya Prasetya Afif Maulana Agung Triayudi Ahmad Fahreza Ahmad Khuzaifi Aldisa, Rima Tamara Alfian Cutryanto Alma Bryan Fitri Finika Andriana, Septi Andrianingsih Anwar Anwar Arief, Arya Asep Nurdin Asrul Sani Bayu Abrianto Risnadi Bayu Yasa Wedha Darmawan, Dika Rizki Dede Wandi Dika Rizki Darmawan Diranisha, Virly Doddy Prasetyo Endah Tri Esti Handayani Fachreza, Sodi Farhany, Nadia Muis Fauziah Fauziah Faza Nadhira Fikar Wahyu Tyas Tono Finika, Alma Bryan Fitri Firdhani Novrizal Firman Firman Ghirrid, Aria Andros Gusti Karnawan Handayani, Endah Tri Esti Hasibuan, Abdul Aziz Hindarto, Djarot Ikbal Danu Setiawan Indriawan, Rizal Ira Diana Sholihati Irfan Hadi Putra Kiki Vebiant Ladika, Anwar Wali M Alwi Saepul Zaman M Iwan Wahyuddin M. Iwan Wahyuddin Mardiani, Eri Mochamad Hariadi Moh Iwan Wahyuddin Moh. Iwan Wahyuddin Moh. Iwan Wahyuddin Muhamad Reza Pahlevi Muhammad Hafizhan Muhammad Ikbal Muhammad Ikbal Muhammad Nurdin Muhammad Nurdin Muhammad Rafli Mustofa Kamal Syarifudin Naqiyah, Shofy Novi Dian Nathasia Nur Aprilia Nur Hayati Pamungkasari, Panca Dewi Pandyawan Eka Rizqullah Prasetya, Aditya Puspita, Anna Thasyia Putra, Irfan Hadi Raditya, Muhammad Maheswara Raffi Dima Sampurno Rahmat Azyad Samallo Raja Timor Purba Raka Adji Setiawan Ravi Anwar Rena Cahya Hutama Reza Rifqi Maulana Rifqi Aldy Al Hafizh Harahap Rifqi Naufal Senja Pratama Risnadi, Bayu Abrianto Rizal Maulana Yusuf Effendi Rizki Akbar Mahdafiki Salsabilah, Salsabilah Sampurno, Raffi Dima Sapto Wibowo Sari Ningsih Septi Andriana Septi Andryana Setiawan, Ikbal Danu Setiawan, Raka Adji Shobur Abdusalam Sholihati , Ira Diana Sholihati, Ira Diana Sodi Fachreza Suryana, Muhamad Fajar Teguh Riyono Adi Tyas Tono, Fikar Wahyu Ucuk Darusalam Vebiant, Kiki Wa'asaro Telaumbanua Wahyu Suratman Wahyuddin, M Iwan Wahyuddin, Moh. Iwan Wahyuddin, Mohammad Iwan Wedha, bayu Yasa Wildan Alfy Syahry Wilsen Wilsen Wilsen Wilsen, Wilsen Wulan Widhari Yanuar Bimantoro Yusuf Effendi, Rizal Maulana Zaman, M Alwi Saepul