Article Per Year (5 Year)
p-Index From 2021 - 2026
9.853
P-Index
This Author published in this journals
All Journal Techno.Com: Jurnal Teknologi Informasi EDUMATIC: Jurnal Pendidikan Informatika Progresif: Jurnal Ilmiah Komputer Jurnal Ilmiah ILKOMINFO - Ilmu Komputer & Informatika International Journal of Informatics and Computation Jurnal Informatika Ekonomi Bisnis JATI (Jurnal Mahasiswa Teknik Informatika) Journal Automation Computer Information System (JACIS) Brilliance: Research of Artificial Intelligence Journal of Social Research Pelita Teknologi : Jurnal Ilmiah Informatika, Arsitektur dan Lingkungan Jurnal Ilmiah SIGMA: Informatics Engineering Journal of UPB Joong-Ki : Jurnal Pengabdian Masyarakat Jurnal Informasi Sains dan Teknologi (ISAINTEK) Jurnal Cakrawala Ilmiah SMART Management Journal STORAGE: Jurnal Ilmiah Teknik dan Ilmu Komputer Indonesian Research Journal on Education Journal Of Informatics And Busisnes VIDHEAS: Jurnal Nasional Abdimas Multidisiplin Jurnal Komputer dan Teknologi (JUKOMTEK) SAINTEK Jurnal Media Akademik (JMA) Joong-Ki Jupiter: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika Bridge: Jurnal Publikasi Sistem Informasi dan Telekomunikasi Modem : Jurnal Informatika dan Sains Teknologi Repeater: Publikasi Teknik Informatika dan Jaringan SISFOTENIKA Merkurius: Jurnal Riset Sistem Informasi dan Teknik Informatika Neptunus: Jurnal Ilmu Komputer dan Teknologi Informasi CommLine Expert Net: Exploration Journal of Technological Education Trends Joong-Ki Jurnal Pengabdian Kepada Masyarakat Jurnal Rekayasa Teknologi Nusa Putra Jejak digital: Jurnal Ilmiah Multidisiplin Jurnal Cakrawala Akademika Jurnal Sistem Informasi dan Ilmu Komputer
Elkin Rilvani
Universitas Pelita Bangsa
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Physics Public Health Social Sciences Other

Published : 88 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 88 Documents
Search

 5   6   7   8   9 
A Data Science-Based Forex Prediction System (EUR/USD) With Integrated Machine Learning and a Web Dashboard Rafli Maulana; Sufajar Butsianto; Elkin Rilvani
Journal of Social Research Vol. 5 No. 8 (2026): Journal of Social Research
Publisher : International Journal Labs (AHU-0028405-AH.01.14 Tahun 2022)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55324/josr.v5i8.3320

Abstract

The rapid development of information technology has driven significant transformations in various sectors, including the global financial sector. One of the most dynamic financial instruments is foreign exchange (forex), the trading of foreign currencies, which plays a crucial role in international economic activity. However, the high volatility and complexity of factors influencing exchange rates make predicting forex price movements a significant challenge. Conventional approaches such as fundamental and technical analysis are limited by their subjective nature and inability to recognize non-linear patterns in price data. This research aims to develop a data science-based forex prediction system with the integration of machine learning algorithms and an interactive web dashboard. The models used include Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU), designed to analyze time series data and capture long-term patterns in the EUR/USD currency pair's price movements. The development process follows the CRISP-DM (Cross Industry Standard Process for Data Mining) stages, including data understanding, data preparation, modeling, evaluation, and system implementation. Thus, this research provides two main contributions: (1) academically, strengthening the application of Machine Learning methods in the field of digital finance based on Data Science, and (2) practically, producing a prototype of an interactive forex prediction system that can be used as a decision support system for traders and financial analysts.
Penggunaan Teknologi Artificial Intelligence Dalam Penulisan Buku Muhtajuddin Danny; Elkin Rilvani; Edora; Iwan Mulyana
VIDHEAS: Jurnal Nasional Abdimas Multidisiplin Vol. 2 No. 1 (2024): Juni 2024
Publisher : VINICHO MEDIA PUBLISINDO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61946/vidheas.v2i1.77

Abstract

Training on the use of Artificial Intelligence (AI) technology in book writing is a response to the rapid development of information and communication technology which has influenced various aspects of life, including the publishing and writing industry. AI technology has developed rapidly and shown its potential in various fields, including data analysis, natural language processing (NLP), and machine learning (Machine Learning). AI algorithms can generate text, analyze writing style, and provide relevant recommendations for writers. AI can help writers in various stages of the writing process, from brainstorming ideas, creating initial drafts, to editing. Tools like GPT-4 can generate paragraphs or chapters based on specific instructions, which helps speed up the writing process and overcome creative barriers. The use of AI can improve the quality of writing by providing suggestions for editing and improvement. AI can also ensure consistency in writing style and use of terminology, which is especially important in writing technical books or series. In the digital era, speed and quality of content production are key factors in competition. Authors and publishers who are able to utilize AI technology can have a competitive advantage by producing books faster and with better quality.
Pengembangan Bahan Ajar Interaktif Dasar Dasar Jaringan Komputer Berbasis Teknologi untuk SMK Negeri 1 Cikarang Selatan Rilvani, Elkin; Ngudi, Tri; Susilo, Arif; Butsianto, Sufajar
VIDHEAS: Jurnal Nasional Abdimas Multidisiplin Vol. 3 No. 2 (2025): Desember 2025
Publisher : VINICHO MEDIA PUBLISINDO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61946/vidheas.v3i2.160

Abstract

Kegiatan pengabdian kepada masyarakat ini bertujuan untuk mengembangkan dan mengimplementasikan bahan ajar interaktif dasar-dasar jaringan komputer berbasis teknologi di SMK Negeri 1 Cikarang Selatan. Latar belakang kegiatan ini didasarkan pada masih dominannya pembelajaran konvensional yang menyebabkan keterbatasan pemahaman siswa terhadap konsep dasar jaringan komputer. Metode pelaksanaan pengabdian menggunakan pendekatan partisipatif dan aplikatif yang meliputi tahapan analisis kebutuhan, perancangan bahan ajar interaktif, implementasi pembelajaran, pendampingan, serta evaluasi. Bahan ajar dirancang dengan mengintegrasikan teks, visual, simulasi, dan latihan interaktif untuk meningkatkan keterlibatan siswa dalam proses pembelajaran. Hasil kegiatan menunjukkan bahwa penggunaan bahan ajar interaktif mampu meningkatkan pemahaman konsep dasar jaringan komputer, motivasi belajar, serta keterampilan awal siswa dalam mengaitkan teori dengan praktik. Selain itu, bahan ajar interaktif juga membantu guru dalam menyampaikan materi secara lebih efektif dan sistematis. Kegiatan ini diharapkan dapat berkontribusi dalam peningkatan kualitas pembelajaran jaringan komputer di SMK serta mendukung kesiapan siswa menghadapi perkembangan teknologi dan kebutuhan dunia kerja.
Peran Komite Sekolah Dalam Meningkatkan Mutu Pendidikan SD Islam Salman Al Farisi Bekasi Elkin Rilvani; Indra Permana; Listian Indriyani Achmad; Yogi Kristiyanto; Johan Mohammad Palah
Jurnal Pengabdian Kepada Masyarakat Vol. 2 No. 5 (2026): Jurnal Pengabdian Kepada Masyarakat
Publisher : CV. Era Digital Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59066/jpkm.v2i5.2804

Abstract

Pertumbuhan penduduk Kota Bekasi memicu tingginya kebutuhan pendidikan dasar berkualitas. Namun, peran komite sekolah di SD Islam Salman Al Farisi Bekasi sering kali sebatas formalitas dan administratif. Penelitian pengabdian masyarakat ini bertujuan menganalisis serta merumuskan peran strategis Komite Sekolah sebagai pemberi pertimbangan, pendukung, pengontrol, dan mediator dalam meningkatkan mutu pendidikan. Objek kegiatan ini adalah Komite Sekolah SD Islam Salman Al Farisi Bekasi. Penelitian ini difokuskan pada efektivitas peran strategis komite dan tata kelola program sekolah dan pendekatan kualitatif deskriptif partisipatif dilakukan  melalui tahapan Need Assessment (FGD), Co-Creation, sosialisasi, workshop pendampingan, hingga evaluasi keselarasan draf Rencana Aksi. Hasil kegiatan menunjukkan terciptanya SOP pengeluaran dana berbasis dokumentasi digital yang transparan, kesepakatan sinergis antara Komite dan Korlas, serta terbentuknya lima pilar program unggulan mencakup kesejahteraan siswa, pendidik, acara sekolah, hingga sarana prasarana.
Peningkatan Literasi Digital dan Pemanfaatan Artificial Intelligence sebagai Media Pembelajaran bagi Siswa SMP Negeri 3 Cikarang Selatan Asep Muhidin; Elkin Rilvani; Ismasari Nawangsih; Wisnu Setyawan
VIDHEAS: Jurnal Nasional Abdimas Multidisiplin Vol. 4 No. 1 (2026): Juni
Publisher : VINICHO MEDIA PUBLISINDO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61946/vidheas.v4i1.191

Abstract

Transformasi digital telah mendorong pemanfaatan teknologi dalam proses pembelajaran, termasuk penggunaan Artificial Intelligence (AI) sebagai media pendukung belajar. Namun, pemanfaatan teknologi digital oleh peserta didik masih didominasi untuk kebutuhan hiburan dan komunikasi, sementara penggunaan AI sebagai media pembelajaran belum optimal. Kegiatan Pengabdian kepada Masyarakat (PKM) ini bertujuan untuk meningkatkan literasi digital serta memberikan pemahaman mengenai pemanfaatan AI sebagai media pembelajaran bagi siswa SMP Negeri 3 Cikarang Selatan. Metode pelaksanaan menggunakan pendekatan participatory training yang meliputi penyampaian materi, demonstrasi, diskusi interaktif, simulasi penyusunan prompt, serta praktik langsung penggunaan AI untuk mendukung proses belajar. Pelaksanaan kegiatan menunjukkan bahwa peserta mengikuti seluruh rangkaian kegiatan dengan antusias dan berpartisipasi aktif dalam sesi diskusi maupun praktik. Peserta memperoleh pemahaman mengenai konsep dasar literasi digital, etika bermedia digital, keamanan data pribadi, serta teknik memanfaatkan AI secara bertanggung jawab untuk membantu memahami materi pelajaran, membuat rangkuman, dan menyelesaikan tugas belajar. Selain memberikan peningkatan wawasan kepada peserta, kegiatan ini juga memperkuat kolaborasi antara Universitas Pelita Bangsa dan SMP Negeri 3 Cikarang Selatan dalam mendukung penguatan kompetensi digital di lingkungan sekolah. Program ini menunjukkan bahwa pelatihan berbasis praktik (learning by doing) merupakan pendekatan yang efektif untuk memperkenalkan pemanfaatan AI sebagai media pembelajaran sekaligus mendorong terbentuknya budaya belajar yang lebih kreatif, kritis, dan adaptif terhadap perkembangan teknologi.
Pelatihan Manajemen Arsip dan Dokumen untuk Mendukung Kompetensi Administrasi di SMK Garuda Nusantara Arif Siswandi; Yos Soejarminto; Elkin Rilvani; Arif Tri Widiyatmoko; Rizki Muhammad; Novi Wulandari
VIDHEAS: Jurnal Nasional Abdimas Multidisiplin Vol. 4 No. 1 (2026): Juni
Publisher : VINICHO MEDIA PUBLISINDO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61946/vidheas.v4i1.192

Abstract

Archive and document management is one of the essential competencies required for vocational high school (SMK) graduates, particularly in the field of office administration. However, based on observations conducted at SMK Garuda Nusantara, archive management is still carried out conventionally, lacks standardized Standard Operating Procedures (SOPs), and has limited utilization of digital technology for document management. These conditions have resulted in inadequate student competence in managing archives systematically and professionally. This community service program aims to enhance students' competencies in archive and document management through theory- and practice-based training, the development of archive management SOPs, the introduction of electronic archive (e-archive) systems, and implementation assistance. The program employs a participatory approach consisting of socialization, needs assessment, training, technology implementation, mentoring, and evaluation. The expected outcomes include improved student knowledge and practical skills, the development of archive management training modules and SOPs, enhanced digital literacy in document management, and the integration of a practice-based learning model that can be sustainably implemented within the school environment. This program is expected to improve students' readiness to meet the demands of modern administrative workplaces.
Pelatihan Dasar Basis Data untuk Meningkatkan Kompetensi Siswa di Bidang Teknologi Informasi Elkin Rilvani; Tri Ngudi Wiyatno; Nurhadi Surojudin; Muhammad Hegar Sukmana
VIDHEAS: Jurnal Nasional Abdimas Multidisiplin Vol. 4 No. 1 (2026): Juni
Publisher : VINICHO MEDIA PUBLISINDO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61946/vidheas.v4i1.197

Abstract

Penguasaan konsep dan keterampilan basis data merupakan salah satu kompetensi utama yang harus dimiliki oleh siswa Sekolah Menengah Kejuruan (SMK) untuk memenuhi kebutuhan industri teknologi informasi. Namun, hasil observasi di SMK Negeri 1 Cikarang menunjukkan bahwa pemahaman siswa mengenai konsep dasar basis data, penggunaan perangkat lunak database, serta implementasi bahasa SQL masih belum optimal. Kegiatan pengabdian kepada masyarakat ini bertujuan untuk meningkatkan kompetensi siswa melalui pelatihan dasar basis data yang berorientasi pada praktik dan kebutuhan industri. Metode pelaksanaan meliputi tahapan sosialisasi, pelatihan berbasis praktik (hands-on training), penerapan teknologi melalui penyelesaian proyek sederhana berbasis database, pendampingan, evaluasi, serta penyusunan strategi keberlanjutan program. Materi pelatihan mencakup konsep dasar basis data, perancangan database, penggunaan MySQL, implementasi perintah SQL dasar, dan penyelesaian studi kasus yang relevan dengan dunia kerja. Hasil yang diharapkan adalah meningkatnya pemahaman konsep basis data, kemampuan siswa dalam merancang dan mengelola database, keterampilan menggunakan SQL, serta tersusunnya portofolio proyek sebagai bukti kompetensi. Program ini diharapkan mampu meningkatkan kesiapan siswa menghadapi dunia kerja sekaligus memperkuat sinergi antara perguruan tinggi dan sekolah dalam pengembangan kompetensi teknologi informasi.
Penerapan Metode C4.5 dan K-Nearest Neighbor untuk Klasifikasi Kelulusan Mahasiswa Berdasarkan Data Akademik Dina Amalia Putri; Naza Sefti Prianita; Elkin Rilvani
Jupiter: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika Vol. 3 No. 4 (2025): Juli: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/jupiter.v3i4.1032

Abstract

The issue of determining the number of students' graduation times is one of the important indicators in transmitting the quality and effectiveness of the higher education process in universities. The rate of on-time graduation not only impacts accredited institutions, but also becomes a concern for campus management in designing learning strategies and academic guidance. This study aims to apply and compare two classification algorithms in data mining, namely C4.5 and K-Nearest Neighbor KNN, in predicting the accuracy of students' graduation times. Predictions are made based on academic attributes such as Grade Point Average GPA, number of credits that have been achieved, and Semester Grade Point Average IPS as input variables. The method used in this study is Knowledge Discovery in Database KDD which includes data selection, preprocessing, transformation, data mining, and evaluation of results. The study was conducted using the RapidMiner tool, with a dataset of 279 Informatics Study Program students from the 2015 to 2019 intake. The data was classified into two categories: "graduated on time" and "not graduated on time". The test results showed that the KNN algorithm provided better performance compared to C4.5. KNN produced an accuracy of 76.08%, with a precision of 73.11% and a recall of 41.92%. Meanwhile, the C4.5 algorithm produced an accuracy of 73.49%, with a precision of 64.62% and a recall of 41.89%. This difference in accuracy indicates that KNN is more effective in capturing patterns in the data and providing more accurate predictions in this context. Thus, the KNN algorithm can be considered a more optimal method to assist universities in predicting potential student admissions in a timely manner, thus enabling early intervention for students at risk of late graduation. This research also contributes to the development of data mining-based academic decision support systems in higher education.
Co-Authors Abdul Rokim Abid Lu’ay Raihan Taufik Agung Nugroho Ahmad Turmudi Zy Al Ayubi, Muhammad Din Aldi Patria Nugraha Alfian Saputra, Ricky Alfiana Erlangga, Dafa Alif Nur Fathlii Amarta Amar Agung Subekti An-nisa Fitriani Andhika Aziz Bachtiar Andi Setyawan Anindha Latiefa Zahra Apik Aminah Aries Widyantoro Arif Siswandi ARIF SUSILO Arif Susilo Arif Tri Widiyatmoko Ariza, Rini Arya Saepul Hakim Asep Muhidin Asep Muhidin Asep Saepuloh Asmil Januar Bagoes Ramadhan Baihaqi Asa’ari Lubis Bayu Nugroho Butsianto, Sufajar Candra Naya Catur Pranomo Dafi Andin Muhamad Daud Muzzaki Dimas Adi Nugraha Dina Amalia Putri Diska Kurnia Azzahra Putra Dito Ridwansyah, Rizjky Dzaky Alaudin Malik Edi Tri Wibowo Edora Erikasari, Vivie Zuliani Ermanto Ermanto Ermanto Fachrial Banyu Asmoro Fadhlurohman Fatikh Navintino Faisal Arya Yudanto Faiza Muhammad Julianto Faqih Irianto Fazri Albadawi Fikr, Muhammad Fiqhy Faradisa Al Bina Fitakwim Fitakwim Galih Pangestu Gilar Sumilar Hadi Putra Hardiansyah, Andi Hendra Parsaulian Henri Caesar Bimantara Herlan Wibowo Hidayat, Chaerul Hilman Ihza Amrullah Ikhsan Romli Indra Permana Indra Prakoso Indry Widiyani Iwan Mulyana Johan Mohammad Palah Khaerunnisa Isnaeni Lestari Khairunnisa Nasution Kristiyanto, Yogi Lili Fadli Muhamad Listian Indriyani Achmad Ma'ruf Setiadi2 Maharani , Tyanshi Firli Mikael Rivaldo Mochammad Rahmat Faisal Mohamad Hegar Sukmana Wibowo Monika Pakpahan MUHAMAD BINDARA SAOT Muhamad Daffa Maulana Arrasyid Muhamad Faisal Ilham Muhamad Fatchan Muhammad Akmal Ar Rasid Muhammad Albedri MUHAMMAD ARIFIN Muhammad Din Al Ayubi Muhammad Farhan Fahreza Muhammad Hegar Sukmana Muhammad Nur Falah Muhammad Rifki Febrianto Muhammad Rizal Mantofani Muhammad Rizky Raka muhidin, asep Muhtajuddin Danny Nabilla Kusuma Wijaya Nadia tul umah Nawangsih, Ismasari Naya, Candra Naza Sefti Prianita Novant Nanda Pradana Novi Wulandari Novianto Andi Hardiansyah Nur Hasim Nur Hidayati Nurhadi Surojudin Nurkholik Safrudin Ovi Marzuki Panji Anwar Sanusi Pardede, Debora Hizkhia Prasetyo, Fabian Eka Priasnyomo Prima Santoso Putra, Aan Fadillah Rafi Maulana Firdaus Rafli Maulana Ramadhan Ardi Iman Prakoso Reza Maulana, Muhammad Rio Rinto Saki Rizki Fahrizal Rizki Muhammad Rizky Juniarko Taruna Putra Rizqi Saputri Saiful Muktiali Sela, Mosses Ara’al De Setyawan, Wisnu Shanti Cahyaningtyas Sifa Setiyani Silvi Fara Dita Siswandi, Arif Siti Yasmin Nurcholifah Soejarminto, Yos Sukmana Wibowo, Mohamad Hegar Surojudin, Nurhadi Suryadi Putra Suryadi, Dikky Suryana, Syahro Tatia Deswita Anggraeni Taufik Eka Albani Tia Mulyani Tri Ngudi Wiyatno Trisnawan, Ahmad Budi Weni Purnomo1 Widodo , Edy Wisnu Ikhwansyah Saputra Wisnu Setyawan Yoga Pratama, Evan Yos Soejarminto Yudha Purnama Putra Yudi Fermana Zacky Rafian Fawwauzy Zalfa Dewi Zahrani