Article Per Year (5 Year)
p-Index From 2019 - 2024
2.608
P-Index
This Author published in this journals
All Journal Pixel : Jurnal Ilmiah Komputer Grafis Journal of Information Systems Engineering and Business Intelligence JURNAL MEDIA INFORMATIKA BUDIDARMA JURIKOM (Jurnal Riset Komputer) Building of Informatics, Technology and Science Jurnal Mantik JIKA (Jurnal Informatika) Teknika Jurnal Informatika: Jurnal Pengembangan IT Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering)
Yohani Setiya Rafika Nur
Jurusan Teknik Informatika, Institut Teknologi Telkom Purwokerto
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media

Published : 14 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 14 Documents
Search

 1   2 
Causal Modeling Between Factors on Quality of Life in Cancer Patients Using S3C-Latent Algorithm Yohani Setiya Rafika Nur; Ridho Rahmadi; Christantie Effendy
Journal of Information Systems Engineering and Business Intelligence Vol. 7 No. 1 (2021): April
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jisebi.7.1.74-83

Abstract

Background: Cancer patients can experience both physical and non-physical problems such as psychosocial, spiritual, and emotional problems, which impact the quality of life. Previous studies on quality of life mostly have employed multivariate analyses. To our knowledge, no studies have focused yet on the underlying causal relationship between factors representing the quality of life of cancer patients, which is very important when attempting to improve the quality of life.  Objective: The study aims to model the causal relationships between the factors that represent cancer and quality of life.Methods: This study uses the S3C-Latent method to estimate the causal model relationships between the factors. The S3C-Latent method combines Structural Equation Model (SEM), a multi objective optimization method, and the stability selection approach, to estimate a stable and parsimonious causal model.Results: There are nine causal relations that have been found, i.e., from physical to global health with a reliability score of 0.73, to performance status with a reliability score of 1, from emotional to global health with a reliability score of 0.71, to performance status with a reliability score of 0.82, from nausea, loss of appetite, dyspnea, insomnia, loss of appetite and from constipation to performance status with reliability scores of 0.76; 1; 0.61; 0.76; 0.72; 0.70, respectively. Moreover, this study found that 15 associations (strong relation where the causal direction cannot be determined from the data alone) between factors with reliability scores range from 0.65 to 1.Conclusion: The estimated model is consistent with the results shown in previous studies. The model is expected to provide evidence-based recommendation for health care providers in designing strategies to increase cancer patients’ life quality. For future research, we suggest studies to include more variables in the model to capture a broader view to the problem.
Pendekatan Deep Learning Untuk Prediksi Durasi Perjalanan Nur Ghaniaviyanto Ramadhan; Yohani Setiya Rafika Nur; Faisal Dharma Adhinata
Teknika Vol 11 No 2 (2022): Juli 2022
Publisher : Center for Research and Community Service, Institut Informatika Indonesia (IKADO) Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34148/teknika.v11i2.460

Abstract

Setiap orang dalam kehidupan memiliki kecenderungan untuk berpindah dari satu tempat ke tempat lainnya. Perpindahan tersebut dapat dilakukan dengan menggunakan berbagai macam cara seperti menggunakan transportasi pribadi atau umum (bus, taksi, pesawat, dan kereta api), Pada perkembangan teknologi saat ini mode transportasi sudah semakin canggih. Akan tetapi masih ada mode transportasi yang belum modern misalnya seperti taksi, dimana salah satunya tidak dapat memprediksi lama waktu perjalanan. Meskipun sudah ada taksi yang berbasis online seperti Uber, akan tetapi masih banyak taksi yang belum berbasis online sehingga tidak bisa dilakukan estimasi waktu dan jarak. Permasalahan di atas dapat diselesaikan dengan cara melakukan pendekatan berbasis pembelajaran mesin. Salah satu keuntungan yang didapatkan jika kita dapat mengetahui lama waktu estimasi perjalanan yaitu dapat mengatur waktu perjalanan sesuai dengan rutinitas yang sedang dikerjakan ataupun juga dapat menghemat biaya yang dikeluarkan dengan mengetahui jarak yang akan dijalankan. Pada penelitian ini bertujuan untuk memprediksi durasi perjalanan pada dataset New York taxi trip duration menggunakan pendekatan deep learning yaitu Long Short Term Memory Reccurent Neural Network (LSTM-RNN). Eksperimen dilakukan dengan melakukan tuning parameter terkait seperti epoch, nilai dropout, dan neurons. Pengukuran hasil menggunakan nilai Root Mean Square Error (RMSE) dan nilai loss. Hasil yang didapatkan menggunakan model LSTM-RNN sebesar 0,0012 untuk nilai loss dan RMSE 0,4.
Sistem Pakar Deteksi Penyakit Bawang Merah dengan Metode Case Based Reasoning Yohani Setiya Rafika Nur; Auliya Burhanuddin; Dasril Aldo; Widya Lelisa Army
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 6, No 3 (2022): Juli 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v6i3.4180

Abstract

Shallots are tubers commonly consumed by Indonesians. Shallots are one of the three members of the Allium genus that are much-loved and have high economic value. In the process of cultivating shallots susceptible to pests and diseases. Onion caterpillars, leaf flies, earthworms, purpura, fusarium wilt, onion mosaic and leaf spot are some of the pests and diseases that often attack shallot plants. Farmers will immediately give pesticides or methods that are sometimes not suitable for pests and diseases that attack. As a result, maintenance is not optimal and new pests or diseases often arise. This study aims to help farmers find early symptoms of shallot pests and diseases, so that pest and disease control is more optimal and on target. Processed as many as 10 attack data using Case Based Reasoning method. This method will process data in the form of symptoms seen in shallots, so that they can detect types of pests and diseases of shallots and their handling steps with 100% accuracy. Therefore, this method is relevant for the identification of shallot disease
Pengenalan Huruf Hijaiyah Berbasis Augmented Reality Pada Taman Pendidikan Al-Qur’an Audrey Hillary; Muhamad Azrino Gustalika; Yohani Setiya Rafika Nur
JURIKOM (Jurnal Riset Komputer) Vol 9, No 5 (2022): Oktober 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v9i5.4694

Abstract

The introduction of hijaiyah letters is only done manually using the Iqra 'book. The introduction is done by reading the letters and reciting them, so that the introduction process is still less interesting, especially for children who are just starting to learn the Qur'an and know the hijaiyah letters. An interactive learning is needed in the form of audio-visual so that children tend to be more responsive, one of the supporting factors for interactive learning is the existence of media or learning facilities that use mobile-learning (M-learning) technology. This study aims to introduce hijaiyah letters to children by using an application based on Augmented Reality technology, which can be operated using an Android smartphone. Data collection methods used in this study were observations and interviews conducted at the Al-Barokah Baturraden TPA. This research refers to the multimedia development method, namely the multimedia development life cycle (MDLC) as a system model in building applications. The output of this application is that the application will display a video on the smartphone screen containing the hijaiyah letter learning material. On the results of blackbox testing, namely functional testing, obtaining a percentage of 100%, which means the features in the application function properly in accordance with the design objectives. In usability testing using the usability scale system calculation, the score is 81.71 which means it gets an acceptable (high) category for acceptability or acceptance level, grade B for grade scale or application level and excellent rating for adjective rating or application rating which indicates that the application is acceptable. by the user. By using Augmented Reality-based applications, students can learn hijaiyah letters interactively and interestingly.
Penerapan Metode Case Base Reasoning Dalam Diagnosa Penyakit dan Hama pada Tanaman Hortikultura Dasril Aldo; Yohani Setiya Rafika Nur; Andre Citro Febriliyan Lanyak; Filfimo Yulfiz Ahsanul Hulqi; Rania Nur Hikmah
Building of Informatics, Technology and Science (BITS) Vol 4 No 2 (2022): September 2022
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v4i2.1888

Abstract

Horticultural products are products from the agricultural sub-sector with potential and prospects for development. Horticultural products consist of medicinal products, fruit, vegetables, and ornamental plants. However, some farmers are still not optimal in getting results from their cultivation because they do not understand how to control pests and diseases of horticultural crops. This causes the plant to be susceptible to various diseases. Identification of diseases in these plants is often done manually so it takes a long time. The development of computer technology can be utilized in various branches of science, one of which is the field of artificial intelligence. Expert systems are included in one of the scientific branches of the current artificial intelligence program. Expert systems have the ability to solve a particular problem, usually requiring an expert from an expert. The method that will be used is the case-based reasoning (CBR) approach. This study aims to help farmers diagnose diseases and pests, so that they are more optimal and on target in controlling. In the implementation of the expert system with the CBR method, a diagnosis will be obtained, and it will be recommended for plant control. Case Based Reasoning method is used to process 10 data. This method will process data in the form of symptoms seen in horticultural plants. The test results obtained a percentage value of 80%. Therefore, the application of the Case Based Reasoning method is very relevant in the Diagnosis of Diseases and Pests in Horticultural Crops.
PEMILIHAN MAHASISWA BERPRESTASI MENGGUNAKAN ALGORITMA AHP (STUDI KASUS: FAKULTAS TEKNIK UBB) Nurhaeka Tou; Putri Mentari Endraswari; Yohani Setiya Rafika Nur
Jurnal Informatika Vol 7, No 1 (2023): JIKA (Jurnal Informatika)
Publisher : University of Muhammadiyah Tangerang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31000/jika.v7i1.7129

Abstract

The Selection of outstanding students at the Faculty of Engineering is an activity that is routinely carried out every year. It starts with each department selecting student candidates who are considered outstanding and collecting some data such as GPA, certificates of academic or non-academic achievements, and certificates of organizational history. Furthermore, representatives of each department follow the selection at the faculty level. In the process of selecting outstanding students, the faculty forms a team that will assess the outstanding student candidates. However, the process is still done manually and takes a long time to process the data. In addition, the manual processing of high-achieving student selection scores is prone to data processing errors which ultimately lead to inaccuracies in the assessment results. Therefore, based on this problem, a decision support system (DSS) is needed to assist the Faculty in determining one of the outstanding students using the AHP method. The criteria that become input in the selection of outstanding students are GPA, scientific papers, number of academic achievement certificates, non-academics, and English language skills. The results of this study indicate that the AHP method can determine alternative recommendations for outstanding students based on the specified input criteria with a consistency value of 0.56.
Web based yogyakarta food recipe application using sdlc waterfall method Annisaa Utami; Dasril Aldo; Yohani Setiya Rafika Nur; Trihastuti Yuniati
Jurnal Mantik Vol. 7 No. 1 (2023): May: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.v6i4.3621

Abstract

Cooking is the process of processing food ingredients and seasonings to be used as a variety of dishes. Cooking can be done by anyone. When cooking, recipes are needed as a reference to process food ingredients into a dish. A recipe in the modern sense is defined as a set of instructions that tell how to prepare and cook food, including a list of what foods are needed . Yogyakarta has a variety of culinary delights. With the passage of time, Yogyakarta's specialties are displaced by foreign food entering Yogyakarta. The Recipe application contains a variety of recipes for typical Yogyakarta food. This research aims to help the community in making Indonesian culinary food, especially the Yogyakarta food menu. The application is created web-based using PHP programming language and mysql database. For the software development method, which is carried out is using the Software Development Life Cycle (SDLC) Waterfall method. The first stage carried out is planning, design stages, implementation and trials. Based on the test results using a black box, the system created has functional features according to what is expected. The system features login, Manage recipe data, Manage category data and Manage comment data.
ANALISIS KUALITAS WEBSITE AKADEMIK MENGGUNAKAN METODE WEBQUAL 4.0 DAN IMPORTANCE-PERFORMANCE ANALYSIS (IPA) (Studi Kasus: STIKOM YOS SUDARSO Alfonsus Simbolon; Muhamad Azrino Gustalika; Yohani Setiya Rafika Nur
Pixel :Jurnal Ilmiah Komputer Grafis Vol 16 No 1 (2023): Vol 16 No 1 (2023): Jurnal Ilmiah Komputer Grafis
Publisher : STEKOM PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/pixel.v16i1.1227

Abstract

Websites have an important role in academic management and enhance the reputation of a company or institution. Website service quality is an important factor in education. On university web ranking sites such as webometrics, Indonesia's ranking is relatively low, including universities in Central Java which are ranked in the 1000's. Therefore, this study aims to find the causative factors and analyze the current quality of academic websites. The Webqual 4.0 method was used in this study to evaluate the quality of websites based on indicators of usability, reliability, novelty and user satisfaction. Importance-Performance Analysis (IPA) is also used to determine indicators that need to be repaired, updated, and maintained based on user perceptions and expectations. This research involved 144 respondents, namely students and staff at STIKOM Yos Sudarso. The results of the study show several indicators that need to be improved on the STIKOM Yos Sudarso website, especially in terms of appearance and quality of information such as novelty and clarity of content. Recommendations from this study include improving the appearance by developing designs and simplifying features. In addition, it is necessary to improve the quality of information by updating information in a timely, accurate and regular manner. Interaction with users also needs to be improved by adding a live chat feature and improving all indicators to build a good website reputation
Sistem Pakar Diagnosis Penyakit Pada Ikan Bawal Bintang dengan Pendekatan Naive bayes Dasril Aldo; Yohani Setiya Rafika Nur; M. Yoka Fathoni
Jurnal Informatika: Jurnal Pengembangan IT Vol 8, No 2 (2023)
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/jpit.v8i2.4750

Abstract

 The star pomfret is a type of cultivated fish that has high economic prospects. The focus of the main problem in this study is the disease that attacks the star pomfret fish commodity. If this is allowed to continue, it will cause crop failure and cause the fishermen to lose money. Through this research, an expert system is one solution that can overcome these problems. The expert system built will apply the Naive Bayes method with the stages of entering the dataset into the database which will be used as training data, then the user inputs testing data to be processed into the Bayes method, in the final result the probability value of each disease will be displayed which will then be given recommendations on how to control it disease. From the symptoms selected by the user, namely: white or pale spots on the surface of the body, bleeding on the surface of the body, protruding eyes, the fish looks difficult to breathe, mucus production increases until the body runs out of mucus / roughness, fish lose their appetite, slow movement and slow growth get disease results Cryptocaryon with a value of 93.4. The results of tests carried out on 17 data obtained an accuracy value of 94% so that the expert system is suitable for use as a tool for diagnosing disease in pomfret
Implementation of certainty factor method for the diagnosis of tyla fish diseases Yehezekiel Ramasyah Putra Haloho; Yohani Setiya Rafika Nur; Ummi Athiyah
Jurnal Mantik Vol. 7 No. 3 (2023): November: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.v7i3.4262

Abstract

Tilapia is one of the most attractive fish for the people of Indonesia because it can be easily found in traditional markets. Obstacles during the fish farming process are disease transmission in tilapia that is farmed so that it can affect sales and will certainly harm fish farmers. Based on this, an expert system was created in order to diagnose diseases in Tilapia. The purpose of the system is to assist fish farmers in diagnosing and treating diseases of tilapia. The method or technique used in this study is the Certainty factor. The results of the study obtained an output in the form of the disease experienced and also a solution for handling tilapia attacked by the disease using the Certainty factor method. The expert system produced by the research, then tested using blackbox testing where all components in the tested system produce the desired results and match their functionality, and the results of accuracy testing with experts obtain an accuracy value of 96% so that the system is declared accurate
Co-Authors Alfonsus Simbolon Andre Citro Febriliyan Lanyak Annisaa Utami Audrey Hillary Auliya Burhanuddin Christantie Effendy Dasril Aldo Dasril Aldo Edelin Gultom Faisal Dharma Adhinata Filfimo Yulfiz Ahsanul Hulqi M Yoka Fathoni Muhamad Azrino Gustalika Muhamad Azrino Gustalika Nur Ghaniaviyanto Ramadhan Nurhaeka Tou Putri Mentari Endraswari Ramadhani, Rima Dias Rania Nur Hikmah Ridho Rahmadi Trihastuti Yuniati Ummi Athiyah Widya Lelisa Army Yehezekiel Ramasyah Putra Haloho Yuan Sa'adati