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All Journal Jurnal Mnemonic Jurnal Computer Science and Information Technology (CoSciTech) Jurnal Pengabdian Kepada Masyarakat Abdi Nusa International Journal Engineering and Applied Technology (IJEAT) Prosiding Seminar Nasional Rekayasa dan Teknologi (TAU SNAR- TEK)
Lucia Kharisma, Ivana
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Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Electrical & Electronics Engineering Engineering Mechanical Engineering Public Health Other

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PERAMALAN HARGA BITCOIN CASH-USD (BCH-USD) PADA TIME FRAME HARIAN MENGGUNAKAN LSTM Akbar, Jiwa; Ali Setyo Yudono, Muchtar; Lucia Kharisma, Ivana
Jurnal Mnemonic Vol 7 No 2 (2024): Mnemonic Vol. 7 No. 2
Publisher : Teknik Informatika, Institut Teknologi Nasional malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/mnemonic.v7i2.10121

Abstract

Perkembangan teknologi yang pesat, terutama di sektor keuangan, telah mendorong pergeseran dari mata uang konvensional ke mata uang digital seperti Bitcoin Cash (BCH). BCH adalah mata uang kripto yang menggunakan teknologi blockchain, yaitu rantai blok yang berfungsi sebagai tempat pencatatan transaksi tanpa sentralisasi, berbeda dengan sistem bank tradisional. Namun, harga BCH sangat fluktuatif sehingga diperlukan peramalan harga masa depan. Penelitian ini mengusulkan penggunaan algoritma Long Short Term Memory (LSTM) untuk meramalkan harga BCH. LSTM, sebuah algoritma jaringan saraf tiruan, mampu memahami data deret waktu yang kompleks seperti pergerakan harga BCH. Studi sebelumnya menunjukkan bahwa LSTM berhasil digunakan untuk meramalkan harga saham dan umur transformator, dengan penurunan Root Mean Square Error (RMSE) yang signifikan dibandingkan algoritma lain. Berdasarkan pendekatan ini, penelitian bertujuan menyajikan proyeksi harga BCH yang bermanfaat bagi pelaku pasar keuangan. Penelitian ini melibatkan lima skenario peramalan. Skenario pertama menggunakan epoch 10 dan hidden layer 10, skenario kedua epoch 20 dan hidden layer 20, skenario ketiga epoch 30 dan hidden layer 30, skenario keempat epoch 40 dan hidden layer 40, dan skenario kelima epoch 50 dan hidden layer 50. Panjang sequence di setiap skenario yaitu 30. Hasil terbaik diperoleh pada skenario kedua menghasilkan nilai Mean Squared Error (MSE) sebesar 1654,40 dan RMSE sebesar 40,67
Implementasi Metode Bidirectional Encoder Representations from Transformers (BERT) untuk Analisis Sentimen Komentar Pengguna Aplikasi Dana di Instagram Ihsan Septian, Firdaus; Lucia Kharisma, Ivana; Hermanto, Hermanto; Kamdan, Kamdan
Prosiding TAU SNARS-TEK Seminar Nasional Rekayasa dan Teknologi Vol. 3 No. 1 (2024): Prosiding TAU SNARS-TEK Seminar Nasional Rekayasa dan Teknologi 2024
Publisher : Fakultas Teknik dan Teknologi - TANRI ABENG UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47970/snarstek.v2i1.571

Abstract

Kemajuan teknologi yang pesat saat ini mempengaruhi berbagai aspek kehidupan serta memberi kemudahan serta efisiensi pada berbagai aspek. Penerapan teknologi salah satunya di bidang finansial, yaitu dengan semakin banyak layanan keuangan digital yang memberi kemudahan bagi transaksi keuangan. Salah satu jenis keuangan digital yang banyak digunakan di masyarakat adalah aplikasi Dana. Dana menyediakan layanan yang dapat digunakan penggunanya serta sering memberikan informasi produk melalui akun media sosial Instagram. Feedback serta komentar tentang aplikasi didapatkan dari pengguna. Dengan menerapkan pemodelan Bidirectional Encoder Representations From Transformers (BERT) dari IndoBert pada proses analisa sentimen dari komentar pengguna Aplikasi DANA di Instagram pada penelitian ini , diharapkan dapat memberi informasi dan memudahkan dalam memahami opini dari pengguna, mendeteksi masalah dan keluhan, serta menjadikan wawasan bagi pengguna terhadap aplikasi Dana. Dari latar belakang tersebut, penelitian tentang analisa sentimen komentar dari pengguna aplikasi Dana dilakukan . Data yang digunakan didapat dari komentar akun Instagram Dana. Data tersebut terbagi menjadi 2 kategori yaitu positif dan negatif berdasarkan pelabelan otomatis oleh transformer. Dari hasil pemodelan dengan metode pre-trained Bidirectional Encoder Representations From Transformers (BERT) dari IndoBert, diperoleh hasil accuracy 98% dari data latih serta validasi accuracy sebesar 93% dengan hyperparameter yaitu batch size 32 dan epoch pelatihan 10 dengan proporsi data latih dan data uji 70:30. Pemodelan kemudian dilakukan proses deployment menggunakan streamlit, agar dapat diintegrasikan ke sistem atau aplikasi berbasis web.
Sistem Absensi Mapel Lintas Minat SMAN 1 Cigombong Menggunakan Face Recognition Berbasis Web Lucia Kharisma, Ivana; Sahira, Sarah; Nurcahya Sumirat, Hana; Fergina, Anggun; Kamdan, Kamdan
Computer Science and Information Technology Vol 5 No 2 (2024): Jurnal Computer Science and Information Technology (CoSciTech)
Publisher : Universitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/coscitech.v5i2.5500

Abstract

SMAN 1 Cigombong is a high school located on Watesjaya Street, Cigombong District, Bogor Regency, West Java, which currently still follows the KURTILAS curriculum. The student attendance system in SMAN 1 Cigombong for the English and German Language Minors is still using a manual attendance book where students sign the attendance form. This method has weaknesses such as the ease of losing or damaging the attendance book, as well as the potential for students to manipulate the attendance records. Therefore, the author proposes the implementation of a face recognition attendance system to assist in the attendance data recording process, simplify attendance tracking for teachers, and facilitate the school's management information system. The development method used for the attendance system is the waterfall method, which involves analysis, design, coding, testing, and support stages. In face recognition, the author utilizes face landmarks to store students' facial data in a database. Meanwhile, in the data collection process, several methods are used, including interviews, observations, and literature reviews.
Implementasi deteksi objek pada fitur permainan tebak gambar di website kursus online bahasa inggris dengan Ml5.js Jihad Taqwana, Friendly; Lucia Kharisma, Ivana; Kamdan, Kamdan
Computer Science and Information Technology Vol 4 No 3 (2023): Jurnal Computer Science and Information Technology (CoSciTech)
Publisher : Universitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/coscitech.v4i3.6314

Abstract

This research aims to improve the user experience in learning English on the Hanna Hersop online course website by proposing the addition of a picture guessing game feature equipped with object detection. Hanna Hersop is an English Course and Training Institute (LKP), providing English language learning materials offline and online. The research results show that adding the image guessing game feature with object detection significantly improves the users' learning experience. The object detection function in the picture guessing game not only provides additional challenges in learning, but also provides a more interesting interactive experience. This picture guessing game utilizes M15.js as a JavaScript machine learning library which provides access to ML algorithms in the browser built on Tensorflow.js and JavaScript, CSS, HTML as a framework for designing picture guessing games on websites. The results of this research provide valuable insights for developers and organizers of online English courses, as well as contributing to further understanding of how digital technologies, in particular object detection, can be used effectively to improve the quality of learning. that way course participants can gain additional benefits in understanding and practicing English, creating an innovative and effective learning environment. The integration of object detection in the picture guessing game feature is an innovative solution in creating a more interesting and effective learning environment
Overcoming the Impact of Bird Pests on Rice Yields Using Internet of Things Based YOLO Method Lucia Kharisma, Ivana; Kamdan; Purnama Insany, Gina; Rizki Firdaus, Asep; Nasrulloh, Dendi
INTERNATIONAL JOURNAL ENGINEERING AND APPLIED TECHNOLOGY (IJEAT) Vol. 7 No. 2 (2024): November 2024
Publisher : Nusa Putra University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52005/ijeat.v7i2.111

Abstract

The problem of bird pests has become a serious problem in the sector of agriculture since ancient times. Bird pest attacks, especially sparrows, Church and bondol have a big influence on the quality and quantity of rice produced by farmers. This causes a decline in the economic level of people in rural areas, especially farmers. Traditional methods which are often used by farmers, such as making sounds from used cans stretched using rope can be a temporary solution to this problem, however, as the largest agricultural country in Asia Southeast of course Indonesia should implement progress and very advanced technological developments to help with problems in the agricultural sector. Integration of Artificial Intelligence (AI), Internet of Things (IoT), and Mobile technology Applications to develop a bird pest repellent tool Smart is expected to be a very effective solution. With integration on IoT devices, this tool has the ability to repel bird pests automatically when it detects bird objects. Results It is hoped that this research will provide great benefits and optimize rice harvest so that it can improve the welfare of farmers and Indonesian society as a whole.
PERAN PEMUDA DALAM PROKLAMASI KEMERDEKAAN INDONESIA Lucia Kharisma, Ivana; Kamdan; Purnama Insany, Gina; Putri, Hanifa; Nuraini, Desti; Zalukhu, Eliadi; Fitri Ramadani, Rizka; Ramdan Alkausar, Ryan; Padilah Qurani, Intan; Wardin Hia, Srifen
Jurnal Abdi Nusa Vol. 5 No. 1 (2025): Februari 2025
Publisher : LPPM Universitas Nusa Putra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52005/abdinusa.v5i1.370

Abstract

Perayaan 17 Agustus adalah untuk merayakan kemerdekaan, bersyukur karena telah terbebaskan dari penjajahan, serta menyadarkan masyarakat agar lebih mencintai tanah air dan menjaga persatuan bangsa. Kuliah kerja nyata (KKN) dilaksanakan di Desa Gandasoli yang pada dasarnya membutuhkan peran mahasiswa dalam melakukan perubahan, pengembangan, atau memberikan kegiatan yang bermanfaat kepada masyarakat serta mengembangkan inovasi dalam setiap kegiatan yang dilaksanakan. KKN UNIVERSITAS NUSA PUTRA melaksanakan program pemberdayaan masyarakat secara offline berupa upacara peringatan HUT kemerdekaan dilaksanakan pada pagi hari dengan upacara dan pengibaran bendera merah putih, karnaval dan ikut terlibat perlombaan dalam rangka memperingati HUT RI ke 79 bersama masyarakat Desa Gandasoli. Hal ini dilakukan untuk meningkatkan rasa nasionalisme dan rasa cinta serta bangga terhadap bangsa indonesia yang telah merdeka selama 79 tahun serta meningkatkan jiwa solidaritas antar warga Desa Gandasoli.
Co-Authors adang badru jaman,anggun fergina, adang badru jaman,anggun fergina Akbar, Jiwa Fitri Ramadani, Rizka Hermanto Hermanto Ihsan Septian, Firdaus Jihad Taqwana, Friendly Kamdan Muchtar Ali Setyo Yudono Nasrulloh, Dendi Nuraini, Desti Nurcahya Sumirat, Hana Padilah Qurani, Intan Purnama Insany, Gina Putri, Hanifa Ramdan Alkausar, Ryan Rizki Firdaus, Asep Sahira, Sarah Wardin Hia, Srifen Zalukhu, Eliadi