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All Journal Jurnal Informatika Jurnal sistem informasi, Teknologi informasi dan komputer Jurnal Teknologi Informasi dan Ilmu Komputer Journal of Animation & Games Studies Fountain of Informatics Journal Jurnal Ilmiah KOMPUTASI Jurnal Pengabdian UntukMu NegeRI JOIV : International Journal on Informatics Visualization Journal of Information Technology and Computer Science Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Jurnal Eksplora Informatika JURTEKSI JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) PrimaryEdu - Journal of Primary Education Building of Informatics, Technology and Science Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Jurnal Informatika dan Rekayasa Elektronik JATI (Jurnal Mahasiswa Teknik Informatika) JIKA (Jurnal Informatika) Infotek : Jurnal Informatika dan Teknologi Academia Open Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Jurnal Teknik Informatika (JUTIF) Indonesian Journal of Innovation Studies Jurnal Nasional Teknik Elektro dan Teknologi Informasi Prosiding Seminar Nasional Teknik Elektro, Sistem Informasi, dan Teknik Informatika (SNESTIK) PELS (Procedia of Engineering and Life Science) Proceedings of The ICECRS Procedia of Social Sciences and Humanities Publikasi Pengabdian Masyarakat Komputer dan Teknologi (PUNDIMASKOT) JOINCS (Journal of Informatics, Network, and Computer Science) Jurnal Sistem Informasi Prosiding SEMNAS INOTEK (Seminar Nasional Inovasi Teknologi) Indonesian Journal of Applied Technology Journal of Technology and System Information Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Journal of Electrical Engineering
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Klasifikasi Penipuan pada Rekening Bank menggunakan Pendekatan Ensemble Learning Maghfiroh, Alfiah; Findawati, Yulian; Indahyanti, Uce
Building of Informatics, Technology and Science (BITS) Vol 4 No 4 (2023): March 2023
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v4i4.3212

Abstract

Accounts are a collection of numbers commonly used for all transactions in the banking world, from saving, withdrawing cash, to checking account balances either directly or online using m-banking. In bank accounts and the process of opening them, there are various kinds of criminal acts committed by individuals and groups. As a bank's obligation to prevent crime so that it can provide trust to the community. In an effort to prevent criminal acts of fraud can be solved using data mining techniques, namely classification. The purpose of classification is to predict the class label of an object based on existing attributes. The classification methods used in this research are extreme gradiant boosting (XGBoost) and random forest on 22029 records. In the classification process, this study uses a percentage ratio of 90% train data and 10% test data and tuning parameters processed by randomized search cross validation. The research stages start from preprocessing to evaluation and get a train score of 99.50% and a test score of 99.59% for extreme gradiant boosting (xgboost) while random forest gets a train score of 99.46% and a test score of 99.59%. These results show that the classification results of extreme gradiant boosting (XGBoost) are better than random forest.
Web-Based Programmer Performance Recording and Measurement Information System (Case Study: PT. XY): Sistem Informasi Pencatatan dan Pengukuran Kinerja Programmer Berbasis Web (Studi Kasus: PT. XY ) Ganang Ganindra Aulia Akbar; Yulian Findawati
Procedia of Engineering and Life Science Vol. 2 (2021): Proceedings of the 3rd Seminar Nasional Sains 2021
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (365.514 KB) | DOI: 10.21070/pels.v2i0.1140

Abstract

Every company must always strive for all employees to work effectively, efficiently and productively so that they can achieve the company's vision. Like employees in general, programmers need to be measured for their performance and productivity so that the company does not lose out on paying them. On the other hand, a lot of tasks also confuse programmers if they get piled up and go unrecorded. Therefore, the authors make research on information systems for recording and measuring the performance of web-based programmers (case study: PT. XY). The research method used is a qualitative method by means of observation and interviews. The results obtained from this study is an information system that is devoted to recording programmer tasks and efficiently helping companies to assess programmer performance. Information system made by golang and vuejs
Futsal Field Promotion System Using Augmented Reality Method (Case Study: Segodo Tarik Futsal Field): Sistem Promosi Lapangan Futsal Menggunakan Metode Augmented Reality (Studi Kasus: Lapangan Futsal Segodo Tarik) Alim, Kholqi; Eviyanti, Ade; Findawati, Yulian; Rosid, Mochamad Alfan
Procedia of Engineering and Life Science Vol. 4 (2023): Proceedings of the 6th Seminar Nasional Sains 2023
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/pels.v4i0.1405

Abstract

Futsal is a multi-sprint sport with a high-intensity phase. In addition, the game of futsal is very dependent on the technical abilities of each player. To implement trained and conceptualized tactics and strategies, individual techniques are combined. To play futsal properly, you must learn some basic techniques and practice them often. Various technologies have been developed in the field of sports to improve player performance, including the development of an Arduino-based futsal ball throwing device. Augmented reality (AR) is the process of generating additional information about existing objects by rendering them in real time directly or indirectly from physical objects by adding objects to the virtual world. Based on the research that has been done under the title "Futsal Field Promotion System Using the Augmented Reality Method" it can be concluded that: The AR Futsal application can display 4 3D objects on the futsal field. Making 3D objects is contained in this application using Blender software and developed into an Android application.
Web-based Information System for Climbing Equipment Rental (Case Study of Camp 2 Shop): Sistem Informasi Penyewaan Alat Hiking Berbasis Web (Studi Kasus Toko Camp 2) Malna, Intan Afriza; Findawati, Yulian
Procedia of Engineering and Life Science Vol. 4 (2023): Proceedings of the 6th Seminar Nasional Sains 2023
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/pels.v4i0.1432

Abstract

The business of renting hiking equipment is currently very much loved by entrepreneurs. Due to the fact that the content business generates a lot of rupiah coffers, nowadays many young people are channeling their hobbies to mountain climbing. Regardless of age, there are also many ambitious fathers who take the time to climb. No wonder hiking equipment rentals are selling well at this time.Unfortunately, the rental of hiking equipment is still traditional, namely by coming to the store and choosing the items to be rented, with a system like this it is likely that the items to be rented are empty or are being rented by other tenants. This is quite detrimental to customers who have come all the way and hope that the item they are looking for is there. Not only customers who are harmed here, shop owners will also lose many customers.Therefore, a web-based information system is needed that can be accessed by potential customers, with this information system it is hoped that it can assist customers in renting hiking equipment without manual processes.
Text Preprocessing on Emotional Tweets Case Study: Covid-19 Vaccine Rejection: Text Preprocessing pada Tweet Emosi Studi Kasus : Penolakan Vaksin Covid-19 Putri, Dewi Melisa; Findawati, Yulian
Procedia of Engineering and Life Science Vol. 5 (2024): Proceedings of the 7th Seminar Nasional Sains 2024
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/pels.v7i0.1501

Abstract

Emotion, both verbal and non-verbal, plays a crucial role in expressing opinions, especially in the digital realm of text-based social media. Emotion classification becomes essential for extracting and categorizing responses or opinions expressed by individuals on various issues or events. This study focuses on classifying emotions conveyed in text-based opinions extracted from Twitter. Utilizing a dictionary-based approach, the research aims to classify emotions into seven categories: anticipation, pleasure, trust, anger, disgust, fear, and sadness. Through practical work, the author develops a dictionary comprising key words for each emotion aspect, facilitating accurate classification. The results contribute to enhancing understanding and analyzing emotional expressions in online discourse, offering valuable insights for sentiment analysis applications and social media monitoring tools. Highlights : Emotion classification crucial for understanding online opinions. Study focuses on categorizing emotions from Twitter text. Dictionary-based approach enhances accuracy in emotion classification. Keywords : Emotion classification, text-based social media, Twitter, dictionary-based approach, sentiment analysis.
Implementation of HSI and LBP Feature Extraction for Identification of Broccoli Quality with F-KNN Findawati, Yulian; Suryani, Siti Dwi; Indahyanti, Uce; Khubro, Jamaluddin Jumadil
Journal of Information Technology and Computer Science Vol. 9 No. 2: August 2024
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jitecs.92582

Abstract

This study proposes a method of searching for broccoli quality based on imagery using the Fuzzy K-nearest neighbor (F-KNN). Broccoli is used because it is a type of herbaceous vegetable that has a unique color and shape so visual assessment is still limited. The data used in this study were taken from 2 cities in Indonesia, Pasuruan and Malang Regency which consisted of good quality and bad quality. The total data used is 120, each quality comprising 60 images. In the pre-processing process, several stages are carried out to proceed to the next process. Feature extraction is done through algorithms, namely HSI (Hue, Saturation, and Intensity) and LBP (Local Binary Pattern), which are then divided into training and testing data. F-KNN is used as a classification. The accuracy obtained from this study reached 94.4%. This value indicates that the use of both feature extraction and classification algorithms produces good accuracy in the training and testing data with a 40:60 scenario. This result showed the potential of the feature extraction and F-KNN algorithm when classifying a large number of broccoli qualities.
Mobile-based Smart Farmer Application as a Forum and Learning Center for Horticultural Crop Cultivation: Aplikasi Mobile Petani Pintar sebagai Wadah Forum dan Pembelajaran Budidaya Tanaman Hortikultura Findawati, Yulian; Sutarman; Rosid, Muhammad Alfan; Ramadhan, Aldo Reghan; Setiawan, Ari
Procedia of Social Sciences and Humanities Vol. 3 (2022): Proceedings of the 1st SENARA 2022
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/pssh.v3i.355

Abstract

The driving wheel of the state's economy Alignment to small farmers must also be demonstrated by optimizing the role of extension workers. Agricultural extension workers can take advantage of digital information technology so that assistance can be done anytime and anywhere. Therefore, an application for an Android-based online forum and learning forum is needed to make it easier for farmers to get learning information about PEST management, nurseries and planting. With technology that supports learning, counseling, online forums, it is hoped that it will facilitate communication during the Covid-19 pandemic. is an online learning media application for farmers. Where farmers can see learning videos, bibliography, agricultural material, extension videos, discussions with farming communities and questions and answers with agricultural experts from both the government and universities. Due to the Covid pandemic, counseling communication was somewhat hampered. This application is built using the PHP, Java and MySQL programming languages. With this application, it is hoped that it will facilitate the process of learning, counseling and consulting by farmers
Web Based Correspondence Application as an Effort to Improve Public Service in Wonosari Village: Aplikasi Surat Menyurat Berbasis Web Sebagai Upaya Untuk Meningkatkan Pelayanan Publik Desa Wonosari Findawati, Yulian; Rosid, Muhammad Alfan; Hindarto; maulana, Metatia intan
Procedia of Social Sciences and Humanities Vol. 3 (2022): Proceedings of the 1st SENARA 2022
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/pssh.v3i.356

Abstract

The role of digital transformation facilitates bureaucratic services in the village. Current technological developments bring many changes to various aspects, including the aspect of public administration services, one of which is online correspondence services which are useful for improving the village government management system so that it can work efficiently and effectively. So far, in Wonosari Village, correspondence services such as birth certificates, certificates of good behavior, transfer certificates and other letters are still done manually so it takes a long time. Therefore, a Web-based Correspondence Application was built in Wonosari Village. Where in this application consists of a menu of master data, Master Letters, Reporting, Validation of Letters and user settings. This application is built using the PHP programming language and MYSQL database. With this Web-based correspondence application, it is hoped that it will simplify and speed up the correspondence administration process at the village government level.
Aplikasi Pengenalan Teknologi Kapal Selam Pasopati Berbasis Augmented Reality Rizaldy, Moch Dimas Fahmi; Findawati, Yulian
Indonesian Journal of Applied Technology Vol. 1 No. 1 (2024): January
Publisher : Indonesian Journal Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47134/ijat.v1i1.3091

Abstract

Kapal selam merupakan jenis kapal yang memiliki kemampuan untuk beroperasi dibawah permukaan air. Dengan kemampuanya untuk bergerak tanpa terdeteksi dan mendekati wilayah musuh secara rahasia,kapal selam memainkan peran vital dalam menjaga kedaultan laut. Kapal selam KRI Pasopati 410 merupakan salah satu armada Angkatan laut Indonesia yang dibuat oleh Uni Soviet pada tahun 1952. Ada teknologi kapal selam pasopati yaitu teknologi Periskop Dan teknologi Sonar. Dalam menghadapi kemajuan teknologi kapal selam, penting untuk memastikan bahwa pemahaman masyarakat sejalan dengan perkembangan tersebut. Sayangnya, kenyataanya adalah pemahaman tersebut masih terbatas. oleh karena itu, diperlukan suatu solusi inovatif yang mampu mengatasi hambatan ini secara efektif dan menyampaikan pengetahuan tentang teknologi kapal selam kepada masyarakat. maka untuk mempermudah masyarakat mengetahui pengetahuan teknologi kapal selam pasopati penulis menggunakan teknologi augmented reality teknologi yang menggabungkan dunia fisik dengan elemen-elemen digital,menciptakan pengalaman pengguna yang menyatu antara dunia nyata dan virtual.
Klasifikasi Hate Speech dan Emosi Dalam Teks Berbahasa Indonesia Pada Pengguna Twitter Menggunakan Metode Naïve Bayes Classifier Pratama, Chandra Hary; Findawati, Yulian
Indonesian Journal of Applied Technology Vol. 1 No. 3 (2024): July
Publisher : Indonesian Journal Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47134/ijat.v1i3.3105

Abstract

Ujaran kebencian merupakan salah satu bentuk ekspresi yang menghasut, menyebarkan, membenarkan, atau mendorong kebencian, diksriminasi serta kekerasan atas individu dan kelompok sebab berbagai alasan. Hate speech biasanya ditemukan pada sosial media yang terhubung dengan internet, salah satunya pada penelitian ini melalui sosial media twitter dengan menggunakan metode Naïve Bayes Classifier. Dataset yang digunakan pada penelitian ini berjumlah 1800 data berlabel bukan ujaran kebencian dan 2250 data berlabel ujaran kebencian dengan perbandinghan 60% data latih dan 40% data uji. Hasil evaluasi data uji dengan confusion matrix diperoleh pengukuran matrix mean accuracy for hate speech classification 0,89 dan matrix mean accuracy for emotion classification 0,59. Berdasarkan hasil yang didapat tersebut dapat diambil kesimpulan bahwa untuk melakukan klasifikasi hate speech dan emosi pada Twitter menggunakan Naïve Bayes hasil paling bagus dengan Confusion Matrix tanpa melakukan seleksi fitur Information Gain.
Co-Authors A.A. Ketut Agung Cahyawan W Ade Eviyanti Ade Eviyanti Aditya Kurniawan Adni Navastara, Dini Agustiningsih, Afikah Ahmad Rizqi Efendi Aji, Bagas Prakoso Aldio Nur Samsi Alim, Kholqi Aljunza, Marshal Sheva Alnarus Kautsar, Irwan ardhi pradana Ari Setiawan Arif Senja Fitrani Arif Senja Fitroni Astutik, Ika Ratna Indra Budi Raharjo, Agus Cindy Cahyaning Astuti Diana Purwitasari Dwi Cahyono, Qitfirul Eni Fariyatul Fahyuni Erfina, Idha Maharani Ericka Sukma Putri Wilujeng Ericka Sukma Putri Wilujeng, Ericka Sukma Putri Fitroni, Arif Senja Ganang Ganindra Aulia Akbar Hanafi, Rizal Hidayah, Firmansyah Nur Hindarto Ida Rindaningsih Ida Rindaningsih, Ida Idha Maharani Erfina Ika Ratna Indra Astutik Imron Hidayat Intan Mauliana, Metatia Irwan A. Kautsar Irwan Alnarus Kautsar Irwan Alnarus Kautsar Islam Al-Hazmi, Auliansyah Jihaan Anisa Mukti Khubro, Jamaluddin Jumadil Maghfiroh, Alfiah Malihatin S, Ulfah Malna, Intan Afriza Mardhatillah, Radhita Fitra Maulana, Mahardika Rafi maulana, Metatia intan Mauliana, Metatia Intan Mochamad Alfan Rosid Moh. Attar Jibran Mohammad Fadli Zaka Mohammad Suryawinata Muhamad Alfin Firdiansyah Muhammad Alfin Firdiansyah Muhammad Choir Ridho Azizi Muhammad Fedy Rifki Muhammad Hilal Hamdi Muhammad Sayyi Syeh Putradifa Muhammad Syafri Romadhon Ni'matu Zahroh Nuril Lutvi Azizah Nurwijayanti Pangestu, Krisna Aji Pratama, Chandra Hary Puspitasari, Anastasya Nadia Putri, Dewi Melisa Ramadhan, Aldo Reghan Ratih Puspitasari Ratih Puspitasari Rizaldy, Moch Dimas Fahmi Rizky Fajar Ryandi Rohman Dijaya Rosid, Muhammad Alfan Saputra, Abhirama Senja Fitrani, Arif Septian Dwi Pratama Septian Dwi Pratama Setiawan Bagus Rustianto Setyaningsih, Yuni Siska Dyah Pertiwi Siti Nur Haliza Steven Owen Purnawan Suhendro Busono Sumarno , Sumarno Sumarno . Suprianto Supriyanto - Suryani, Siti Dwi Sutarman Taurusta, Cindy Uce Indahyanti Wiwik Dwi Hastuti Wiwik Sumarmi Yasinta, Aulia Nur Yatestha, Anak Agung Yonathan, Vincent Yunianita Rahmawati Yunianita Rahmawati, Yunianita Zaka, Mohammad Fadli