Article Per Year (5 Year)
p-Index From 2021 - 2026
8.806
P-Index
This Author published in this journals
All Journal Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Jurnal Algoritma Jurnal Teknologi Informasi dan Ilmu Komputer Proceedings Konferensi Nasional Sistem dan Informatika (KNS&I) Edu Komputika Journal Sinkron : Jurnal dan Penelitian Teknik Informatika SISFOTENIKA Seminar Nasional Teknologi Informasi Komunikasi dan Industri Jurnal Ilmiah Matrik JITK (Jurnal Ilmu Pengetahuan dan Komputer) Pendas : Jurnah Ilmiah Pendidikan Dasar Jurnal Sisfokom (Sistem Informasi dan Komputer) Voice Of Informatics Jurnal Sistem Cerdas CSRID (Computer Science Research and Its Development Journal) SENSITEK Abdi Wiralodra : Jurnal Pengabdian Kepada Masyarakat E-JURNAL JUSITI : Jurnal Sistem Informasi dan Teknologi Informasi IT (INFORMATIC TECHNIQUE) JOURNAL Jurnal Scientia Budapest International Research and Critics Institute-Journal (BIRCI-Journal): Humanities and Social Sciences Jurnal Teknik Informatika (JUTIF) Jurnal PkM MIFTEK Jurnal Algoritma Jurnal Teknologi Informasi Jurnal Sistem Informasi dan Teknologi Informasi
Fitri Nuraeni
Institut Teknologi Garut
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mathematics Public Health Social Sciences Other

Published : 75 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 75 Documents
Search

 4   5   6   7   8 
Rancang Bangun Aplikasi Pakar Untuk Mendiagnosa Kerusakan Pada Mobil Jenis MPV Menggunakan Metode Forward Chaining dan Certainty Factor Alamsyah, Hadi; Nuraeni, Fitri
Jurnal Algoritma Vol 22 No 1 (2025): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.22-1.1924

Abstract

One of the most widely used vehicles today is the car. Over time the car will experience damage, which to find out the damage that occurs requires an expert. This research aims to develop a web-based expert application that is able to diagnose damage to MPV type cars using the forward chaining method and certainty factor. The forward chaining method is used to perform rule-based inference from symptoms to conclusions, while the certainty factor is used to calculate the certainty level of diagnosis. The system was developed using the expert system development life cycle methodology which includes assessment, knowledge acquisition, design, test, documentation, and maintenance stages. The results show that this expert application can diagnose 16 types of damage with an accuracy rate of 90%. The main contribution of this research is the development of an expert system application that can be accessed by the wider community to assist in diagnosing vehicle damage independently, so as to save time and repair costs.
Implementasi Forward Chaining dan Certainty Factor pada Aplikasi Sistem Pakar Diagnosa Penyakit Kulit Wajah Nuraeni, Fitri; Fitriani, Leni; Yusuf , Alifa Witri Alfahira
Jurnal Algoritma Vol 22 No 1 (2025): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.22-1.2096

Abstract

Facial skin diseases are not life-threatening, but they can interfere with a person's quality of life. Like people with skin diseases, they are unable to carry out normal activities because they can interfere with the comfort of themselves and others. However, to be able to diagnose skin diseases, it is necessary to have the role of a skin disease expert. Meanwhile, the existence of skin disease experts is still relatively rare and even if they exist, they usually require costs and limited service time. Therefore, this research develops a web-based expert system to help diagnose facial skin diseases by utilizing forward chaining and certainty factor methods. The system was designed using the expert system development cycle, and involved two experts in knowledge acquisition. Test results on 20 cases showed an accuracy rate of 85%. This system can be an initial diagnosis tool when specialists are not available.
Implementasi Kriptografi Dalam Pengamanan Database E-Voting Menggunakan Algoritma Rsa Dan Base64 Berbasis Progresive Web Apps Putra, Yuda Pratama; Nuraeni, Fitri; Jatnika, Rijal Ajji
e-Jurnal JUSITI (Jurnal Sistem Informasi dan Teknologi Informasi) Vol. 10 No. 1 (2021): e-Jurnal JUSITI
Publisher : Universitas Dipa Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36774/jusiti.v10i1.818

Abstract

Evoting adalah suatu system pemilihan dimana data dicatat, disimpan, dan di proses pelaksanaannya dimulai dari pendaftaran pemilih, pelaksanaan pemilih, dan pemungutan hasil suara [1]. Pemilihan umum saat ini sudah banyak yang memanfaatkan teknologi sebagai medianya. Salah satunya dengan menggunakan sistem evoting, dimana semua proses dari pendaftaran peserta hingga pemungutan suara dilakukan secara digital. Namun beberapa orang belum sepenuhnya percaya dengan pemilihan suara secara digital karena kemungkinan hasil suara yang diperoleh dapat dimanipulasi oleh orang yang tidak bertanggung jawab. Maka dari itu perlu dibuat sebuah sistem yang dapat menjamin keamanan akurasi hasil dari evoting, integritas data, dan validasi pemilih. Pada penelitian ini penulis menerapkan metode keamanan menggunakan kiptografi dengan algoritma RSA dan Base64 untuk mengenkripsi data hasil pemilihan menjadi teks yang tidak dapat dibaca. Media Penerapan evoting-nya menggunakan progresive web apps dan untuk menguji tingkat keamanan dilakukan pengujian korelasi, entropy, dan waktu enkripsi dan hasilnya cukup mengesankan dengan rata-rata korelasi 0,0503, rata-rata entrophy plainteks adalah 2,60360198 dan rata-rata entrophy cipherteks adalah 3,089234653, serta rata-rata waktu proses enkripsi adalah 0,9544 milidetik. Sehingga dapat disimpulkan bahwa pengamanan database dengan enkripsi RSA dan base64 sangat bagus.
Literasi Etika Digital Komunitas Maya pada Masa Pandemi Covid-19 Farhan, Muhammad; Nashier, Luthfi Abdurahman; Jaelani, Jaka Muhammad; Kahfi, Mochammad; Yusuf, Alifa Witri Alfahira; Aflaah, Gina Ramadhantie; Azhari, Sonia Nada Nur; Hazar, Aura Fitria; Nuraeni, Fitri; Nanang, Nanang
Jurnal PkM MIFTEK Vol 2 No 2 (2021): Jurnal PkM MIFTEK
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/miftek/v.2-2.1120

Abstract

Masa pandemi Covid-19 yang tak kunjung usai menjadi sebuah ketidakpastian sendiri bagi masyarakat, ditambah dengan keresahan dari banyaknya hoax mengenai pandemi covid-19 yang bertebaran diberbagai media semakin memperburuk keadaan. Literasi etika digital merupakan salah satu bentuk upaya untuk menghadapi hoax di masa pandemi ini. Untuk itu, kegiatan Kuliah Kerja Nyata (KKN) Tematik dengan tema pengabdian pada komunitas maya menjadi sarana untuk meningkatkan literasi masyarakat dalam beretika digital, seperti bagaimana cara mengenali, mencegah penyebaran dan mengatasi berita hoax yang sudah tersebar di lingkungannya. Metode yang dilakukan dengan cara mengukur pengetahuan komunitas maya melalui penyuluhan etika digital yang diawali oleh Pre-test, penyampaian materi, kemudian Post-test. Dengan ini diharapkan masyarakat dapat lebih berhati-hati dalam menerima dan menyebarkan berita pada
Perancangan Aplikasi Text To Speech Dalam Bahasa Indonesia Menggunakan Firebase Machine Learning Kit Berbasis Android Kurniadi, Dede; Nuraeni, Fitri; Raharja, Indra Trisna; Mulyani, Asri
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 9 No 6: Desember 2022
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.2022965985

Abstract

Aplikasi text to speech dapat merubah teks menjadi keluaran suara menggunakan engine text to speech, namun teks tersebut harus berupa teks digital agar bisa di render. Sehingga, jika teks berada pada suatu objek maka harus diekstrak terlebih dahulu. Firebase Machine Learning Kit menyediakan API text recognition untuk membantu proses ekstrak teks. Firebase Machine Learning Kit (ML-Kit) juga menyediakan API language identifier untuk mendeteksi bahasa pada teks yang dibaca sehingga suara yang dikeluarkan dari teks yang dibaca dapat optimal dengan menggunakan dialek bahasa tertentu. Tujuan dari penelitian ini adalah membangun aplikasi text to speech dalam Bahasa Indonesia dengan penerapan Firebase Machine Learning Kit berbasis android. Dalam membangun aplikasi ini menggunakan metode extreme programming yang tahapannya terdiri dari planning, design, coding, dan testing. Hasil dari penelitian ini, berupa aplikasi yang dapat digunakan sebagai alat bantu pembelajaran bahasa asing dan alat digitaisasi teks serta terjemah ke dalam Bahasa Indonesia dan 34 dialek bahasa untuk keluaran suara text to speech. Selain itu, pada penelitian ini didapatkan nilai akurasi pengenalan teks dari tulisan tangan dan tulisan mesin, dengan rata-rata persentase akurasi untuk tulisan tangan sebesar 85,25%, sedangkan rata-rata persentase akurasi untuk tulisan mesin sebesar 87,35%. Dengan akurasi yang baik tersebut, maka aplikasi siap untuk dipergunakan sebagai alat bantu dalam proses pembelajaran bahasa asing oleh masyarakat Indonesia. AbstractText to speech applications can convert text into voice output using a text to speech engine, but the text must be digital text in order to render. So, if the text is in an object, it must be extracted first. The Firebase Machine Learning Kit provides a text recognition API to help extract text. The Firebase Machine Learning Kit (ML-Kit) also provides a language identifier API to detect the language in the text being read so that the sound emitted from the text read can be optimized by using a specific language dialect. The purpose of this research is to build a text to speech application in Indonesian with the application of an Android-based Firebase Machine Learning Kit. In building this application using the extreme programming method whose stages consist of planning, design, coding, and testing. The results of this study are in the form of applications that can be used as foreign language learning aids and text digitization tools and translations into Indonesian and 34 language dialects for text to speech voice output. In addition, in this study, the accuracy of text recognition from handwriting and machine writing was obtained, with an average percentage of accuracy for handwriting of 85.25%, while the average percentage of accuracy for machine writing was 87,35%. With good accuracy, the application is ready to be used as a tool in the process of learning foreign languages by the Indonesian people.
Klasifikasi Masyarakat Penerima Bantuan Langsung Tunai Dana Desa Menggunakan Naïve Bayes dan SMOTE Kurniadi, Dede; Nuraeni, Fitri; Firmansyah, Marshal
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 10 No 2: April 2023
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.20236453

Abstract

Pemerintah menyelenggarakan program Bantuan Langsung Tunai Dana Desa (BLT DD), program ini memberikan (subsidi) kepada keluarga miskin yang memenuhi syarat. Program ini dapat membantu mengurangi beban pengeluaran serta meningkatkan pendapatan keluarga miskin. Masyarakat yang berhak menerima BLT DD terkadang melebihi kuota yang tersedia, kemudian proses penentuan penerima dilakukan secara musyawarah. Hasil penetapan tersebut terkadang menimbulkan kecemburuan sosial di masyarakat, sehingga diperlukan klasifikasi yang dapat membantu menentukan keluarga yang layak menerima program bantuan ini. Penelitian ini bertujuan untuk menerapkan metode Naïve Bayes untuk mengklasifikasikan data keluarga layak dan tidak layak menerima BLT DD karena masih banyak keluarga miskin berpenghasilan rendah lainnya yang belum berkesempatan untuk memperoleh program bantuan ini. Metode penelitian yang digunakan yaitu Cross-Industry Standard Process For Data Mining (CRISP-DM). Data yang digunakan merupakan data penerima BLT DD tahun 2021 dan 2022 di Desa Kersamenak dengan jumlah data yang digunakan sebanyak 375, meliputi class layak 205 record dan tidak layak 170 record. Data yang terkumpul menunjukkan adanya ketidakseimbangan kelas pada jumlah masyarakat yang layak dan tidak layak, sehingga diperlukan teknik Synthetic Minority Over-sampling Technique (SMOTE) untuk menangani kelas yang tidak seimbang pada data. Hasil pemodelan Naïve Bayes menggunakan teknik SMOTE menghasilkan model performansi terbaik dengan nilai akurasi 97,80% dan nilai AUC 0,99 yang termasuk dalam kategori Excellent Classification. Berdasarkan hasil model kinerja klasifikasi yang diperoleh, model yang dihasilkan dapat diimplementasikan ke dalam sistem aplikasi pendukung keputusan untuk membantu Desa dalam menentukan penerima BLT DD agar lebih cepat dan mudah. Abstract The government organizes the Bantuan Langsung Tunai Dana Desa (BLT DD) program, which provides (subsidies) to low-income families who meet the requirements. This program can help reduce the burden of spending and increase the income of low-income families. Communities who deserve to receive BLT DD sometimes exceed the available quota, then the process of determining the recipient is carried out utilizing deliberation. The results of these determinations sometimes cause social jealousy in the community, so a classification is needed that can help determine eligible families to receive this assistance program. This study aims to apply the Naïve Bayes method to classify family data as eligible and not eligible to receive BLT DD because there are still many other low-income families who have not had the opportunity to acquire this assistance program. The research method used is Cross-Industry Standard Process for Data Mining (CRISP-DM). The data used is the data of the 2021 and 2022 Village Fund Direct Cash Aid recipients in Kersamenak Village, with the amount of data used as much as 375, including 205 eligible class records and 170 inappropriate records. The data collected shows an imbalanced class in the number of eligible and ineligible people, and it is necessary to use the Synthetic Minority Over-sampling Technique (SMOTE) technique to handle the imbalanced class in the data. The results of modeling the Naïve Bayes using SMOTE technique produce the best performance model with an accuracy value of 97.80% and an AUC value of 0.99, which is included in the Excellent Classification category. Based on the results of the classification performance model obtained, we can implement the resulting model into a decision support application system to assist the Village in determining the recipient of the BLT DD to make it faster and easier.
IMPLEMENTATION OF BAYES THEOREM ALGORITHM FOR WEB-BASED EXPERT SYSTEMS FOR DIAGNOSIS OF HUMAN SKIN DISEASES Agustin, Yoga Handoko; Fitri Nuraeni; Anisa Devisa Putri
Jurnal Teknik Informatika (Jutif) Vol. 5 No. 1 (2024): JUTIF Volume 5, Number 1, February 2024
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2024.5.1.1363

Abstract

The skin is an important organ in the human body which has various roles, such as functioning as a sense of touch, as a means of excretion through sweat glands, regulating body temperature, and as a place to store fat. If the care is not good, the skin can become infected, which is caused by the proliferation of bacteria, germs and viruses in the skin tissue. However, ironically, people often underestimate skin diseases because they are considered less dangerous and do not lead to death. In Garut Regency there is the Tarogong Community Health Center which is a community health center that provides health services, one of which is skin disease examination for the people of Garut. This health center has a practicing doctor, but the doctor is a general practitioner. So to provide services to people who experience skin diseases, they need help from experts. Based on these problems, this research is entitled Implementation of the Bayes Theorem Algorithm in a Web-Based Human Skin Disease Diagnosis Expert System. The Bayes theorem algorithm can determine a possibility that will occur in the future with information from the past and can later reach precise and accurate decisions and information. The methodology used in this research is the Expert System Development Life Cycle (ESDLC) which is a methodology for building or developing an expert system that is structured and directed in its work. The results of this research are in the form of an expert system application that can diagnose 14 types of skin diseases based on 26 symptoms that are often felt by the public and it was found that the results of the system diagnosis and expert diagnosis were 83.3% in agreement with 30 tests carried out with 25 appropriate data and 5 data. it is not in accordance with.
IMPLEMENTATION OF RSA AND AES-128 SUPER ENCRYPTION ON QR-CODE BASED DIGITAL SIGNATURE SCHEMES FOR DOCUMENT LEGALIZATION Nuraeni, Fitri; Kurniadi, Dede; Rahayu, Diva Nuratnika
Jurnal Teknik Informatika (Jutif) Vol. 5 No. 3 (2024): JUTIF Volume 5, Number 3, June 2024
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2024.5.3.1426

Abstract

Maintaining the confidentiality and integrity of electronic documents is essential in the modern digital age. In the contemporary digital world, digital signatures are essential for safeguarding and legalizing electronic documents. The current issue, however, goes beyond digital signatures and instead centers on enhancing security and data integrity. Therefore, RSA and AES-128 super-encryption is required in QR-code-based digital signature techniques for document legalization. This research stage entails constructing a super encryption algorithm, testing it experimentally for security and performance, and designing a digital signature system using RSA and AES-128 super encryption. The results of this research show that the use of RSA and AES super encryption has been proven to have better performance in data security, where the encryption and decryption process time is relatively close to the RSA encryption time, and the comparison of entropy values is better than RSA and AES-128. So, the combination of Super RSA and AES-128 encryption can increase the security level of electronic documents and reduce the risk of hacking. Moreover, the proposed QR-code-based digital signature scheme is also very efficient regarding file size and processing time.
Perancangan Sistem Informasi Manajemen Ijazah dan Transkrip Nilai Baru di Institut Teknologi Garut Nuraeni, Fitri; Kurniadi, Dede; Hadi Wijaya, Tryana
Jurnal Algoritma Vol 20 No 2 (2023): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.20-2.1395

Abstract

Submission of diplomas and grade transcripts is an important process in the management of education in tertiary institutions. However, at the Garut Institute of Technology (ITG), the process of submitting diplomas and grade transcripts is still conventional, resulting in obstacles such as long queues and difficulty accessing students who are outside the campus. To overcome these problems, this study aims to design and develop an efficient and integrated management information system for filing new diplomas and grade transcripts. The method used in this study is the Extreme Programming (XP) method. Software development is carried out by utilizing web technology and features such as validation, submission monitoring, email notifications, and submission logs. Students can apply for diplomas and transcripts online through the platform provided, fill out the online submission form, and upload the required documents. Related units, such as BAAK, Libraries, BAK, CDC, LP3B, and Study Programs, can carry out validation and verification processes online. Students can also monitor the progress of their submissions through the monitoring feature and receive notifications via email.
PENGARUH PENDEKATAN SAINTIFIK BERBANTUAN MEDIA FLIPBOOK TERHADAP PENINGKATAN KEMAMPUAN LITERASI SAINSSISWA SEKOLAH DASAR Ayu Utami, Neng Riski; Sofyan Iskandar; Fitri Nuraeni
Pendas : Jurnal Ilmiah Pendidikan Dasar Vol. 9 No. 3 (2024): Volume 09 No. 03 September 2024.
Publisher : Program Studi Pendidikan Guru Sekolah Dasar FKIP Universitas Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/jp.v9i3.14825

Abstract

Scientific literacy skills are very important for improving the learning process, especially in science lessons. The low scientific literacy abilities of elementary school students are the background for this research. This research aims to determine the effect of the scientific approach assisted by flipbook media on increasing students' scientific literacy skills and to determine the increase in scientific literacy of students who receive learning using the scientific approach assisted by flipbook media better than students who receive conventional learning. The research method used was quasi-experimental with a non-equivalent pretest-posttest control group design on the subject of energy changes. The research sample was class III elementary school, consisting of class III A as the experimental class and III B as the control class. The results of data analysis show that there is an influence of the scientific approach model assisted by flipbook media on students' scientific literacy skills of 56.1%. The results of the n-gain test show that the experimental class with the scientific approach assisted by digital flipbooks is at a medium interpretation of 0.4868. In contrast, the control class uses the model. Conventional learning is at a moderate interpretation of 0.3339, which means that students who receive science learning using a scientific approach model assisted by flipbook media are better than students who receive conventional learning.   Keywords: scientific literacy ability, flipbook media, scientific approach
Co-Authors Ade Rukmana Ade Sutedi, Ade Aflaah, Gina Ramadhantie Afridha Laily Alindra Ajif, Arvin Muhammad Alamsyah, Hadi Algi Muhammad Sahrin Amarullah Bachtiar Amrulloh, Muhammad Fawaz Andi Sanjaya Anisa Devisa Putri Anisa, Kamelia Asep Deddy Supriatna Asri Mulyani Astri Yuliastri Ati Nursahati Ayu Utami, Neng Riski Azhari, Sonia Nada Nur Azzahra, Elvyn Kemala Dani Kustiawan Dede Kurniadi Dewi Tresnawati Dewi Tresnawati dewi, rinanda Diazki, Moch Haiqal Diki Jaelani Dini Destiani Siti Fatimah Egi Badar Sambani, Egi Badar Elsen, Rickard Faturrohman, Nadhif Fauza Rohman Firdaus Al Anwari, M Riadi Firmansyah, Marshal Gisna Fauzi Gisna Fauzian Dermawan Hadi Wijaya, Tryana Hafiziani Eka Putri, Hafiziani Eka Hazar, Aura Fitria Helfy Susilawati HELFY SUSLAWATI Ilmasik, Heryaman Saptahadi Imas Dewi Ariyanti Indra Nurfajri Inna Risdiani Jaelani, Jaka Muhammad Jatnika, Rijal Ajji Kahfi, Mochammad Leni Fitriani, Leni Maulana Firdaus, Muhammad Hasby Maulana Ramdani Maulana Yusuf Moch. Lutfhi Waliyul Fahmi Muhamad Rifki Renaldi Muhammad Arief Sobirin Muhammad Farhan Muhammad Syauqi Mubarok nanang nanang Nashier, Luthfi Abdurahman Nopi Krisnawati Permata Ayu, Metaninda Puspa Rahayu Putra, Yuda Pratama Putri, Puput R. Mujahid Al-Haq Rachmatullaily Tinakartika Rinda Raden Erwin Gunadhi Rahayu Raharja, Indra Trisna Rahayu, Diva Nuratnika Reftiana Rohman, Ripan Ridwan Setiawan Ridwan Setiawan Ridzky Ichlasul Amal Rijal Ajji Jatnika Rika Lestari Rinda Cahyana Risa Aisyah Rizky Febriana Salis Elmadani Siti Wahyuni, Yayu Sofyan Iskandar, Sofyan Sri Mulyani Lestari Sri Rahayu Suryani, Isma Susanto Susanto Syahrum Agung Tanpidzia, Mochammad Kahfi Tazqia Aulia Rahmawati Ujang Falah Purnama, Ujang Falah Vernanda Adhitya Darmawan Wahyu Sindu Prasetya Wijdan Nurhakim Yoga Handoko Agustin Yoga Handoko Agustin Yogiarni, Tiara Yosep Septiana Yuda Pratama Putra Yuda Purnama Putra Yusuf , Alifa Witri Alfahira Yusuf, Alifa Witri Alfahira Zaelani, Jaka Muhammad