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All Journal International Conference on Law, Business and Governance (ICon-LBG) International Conference on Education and Language (ICEL) International Conference on Engineering and Technology Development (ICETD) Jurnal English Education: Jurnal Tadris Bahasa Inggris Explore: Jurnal Sistem Informasi dan Telematika (Telekomunikasi, Multimedia dan Informatika) EXPERT: Jurnal Manajemen Sistem Informasi dan Teknologi Jurnal Informatika Jurnal Informatika International Multidiciplinary Conference on Social Sciences (IMCoSS) Prosiding Seminar Nasional Darmajaya Jurnal Informasi dan Teknologi International Journal of Health, Economics, and Social Sciences (IJHESS) Journal Of Human And Education (JAHE) Digital Transformation Technology (Digitech) ZAHRA: JOURNAL OF HEALTH AND MEDICAL RESEARCH Jurnal Ilmu Pendidikan dan Kearifan Lokal (JIPKL) Sanskara Hukum dan HAM Innovative: Journal Of Social Science Research Sahabat Sosial: Jurnal Pengabdian Masyarakat West Science Business and Management Jurnal Ekonomi dan Kewirausahaan West Science West Science Interdisciplinary Studies Jurnal ICT : Information and Communication Technologies West Science Accounting and Finance Indonesian Journal of Education (INJOE) Jurnal Ekonomi dan Bisnis West Science Interdisciplinary Studies Indonesian Journal of Enterprise Architecture West Science Social and Humanities Studies The Eastasouth Journal of Information System and Computer Science Journal of World Future Medicine, Health and Nursing Science Information System and Technology West Science Nature and Technology The Journal of Artificial Intelligence and Development Jurnal Sipakatau: Inovasi Pengabdian Masyarakat Marsialapari: Jurnal Pengabdian Kepada Masyarakat Journal of Engineering and Science Application Jurnal Ekonomi, Manajemen, Akuntansi
Arnes Yuli Vandika
Universitas Bandar Lampung
Aerospace Engineering Arts Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Public Health Social Sciences Veterinary Other

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Perhitungan Estimasi Upaya Pengembangan Software Pulsa Online dengan Fuzzy C-Means dan Fuzzy K-Means Tia Tanjung; Fenty Ariani; Wiwin Susanty; Arnes Yuli Vandika
EXPERT: Jurnal Manajemen Sistem Informasi dan Teknologi Vol 12, No 1 (2022): June
Publisher : Universitas Bandar Lampung (UBL)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36448/expert.v12i1.2471

Abstract

Top-up can be done by prepaid and postpaid. Top-up at this time can also be done by way of online purchases. Credit with a prepaid system is a real-time top-up. Payments are made before the customer uses credit. Prepaid credit is different from postpaid which is not real-time and is done after the customer uses credit. Before credit can be used, it is necessary to create a credit server first. In this case, limited resources become an obstacle in completing the credit server creation which will later be used by credit users. Therefore, it is necessary to estimate the effort in the development of the server application, so that the estimation can be known, both in terms of resources, and processing time to estimates in terms of costs. In this case, the appropriate method should be used to overcome the obstacle and reduce the risk of software development. There are several ways to use the Fuzzy K-Mean and Fuzzy C-Means methods to complete the creation of impulse servers, perform analysis and interpretation, and provide information and actions for the quality of research output, education, and evaluation research. The result of the grouping comparison is to produce a derivative formula for the Fuzzy K-Mean and Fuzzy C-Means algorithms.
Implementasi Service Data untuk Pemantauan Lighting pada Smart Agriculture Dian Resha Agustina; Arnes Yuli Vandika; Wiwin Susanty; Tia Tanjung; Rulan Nur Afiani
Digital Transformation Technology Vol. 3 No. 2 (2023): Artikel Periode September 2023
Publisher : Information Technology and Science(ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/digitech.v3i2.2851

Abstract

Perubahan terhadap iklim dapat berpengaruh pada tanaman, khususnya pada kelembaban suhu dan air, intensitas cahaya, serta kelembaban tanah. Dengan adanya kemajuan teknologi dengan digunakannya Smart Agriculture bisa mengatur suhu, air, pencahayaan serta kelembaban tanah sesuai dengan kebutuhan tanaman agar mendapatkan hasil perkebunan yang lebih baik. Oleh sebab itu diperlukan suatu alat yang berfungsi layaknya Smart Agriculture namun dilengkapi dengan sistem pengendali intensitas cahaya otomatis dengan penggunaan Internet Of Things yang cukup baru didalam dunia pertanian. Pencahayaan sendiri merupakan faktor yang sangat penting bagi tanaman karena dengan adanya pencahayaan tanaman akan melakukan proses fotosintesis guna menghasilkan produk utama berupa karbohidrat yang disimpan sebagai cadangan makanan. Pada penelitian ini penulis membahas Service Worker pada pencahayaan. Teknologi ini memungkinkan web app bisa dijalankan melalui browser yang ada. Yang merupakan proxy client yang ditulis dalam javascript. Sehingga aplikasi dapat dibuka saat kondisi jaringan offline. Tujuannya ialah memecah proses pengiriman pesan dari aplikasi, yang artinya pesan tidak perlu menunggu proses sebelumnya selesai. Dengan dibangunya sebuah service ini peneliti berharap agar dapat menstrukturkan data yang ada di database dan mendapatkan data yang terstruktur. IoT memungkinkan perangkat elektronik terhubung ke internet, mengumpulkan data, dan memberikan solusi yang cerdas. Penelitian ini memfokuskan pada penggunaan IoT untuk pengawasan pencahayaan dalam konteks smart agriculture. Melalui penerapan sistem service data yang terstruktur, penelitian ini bertujuan untuk meningkatkan efisiensi pengendalian pencahayaan pada tanaman holtikutura. Dengan demikian, penelitian ini memiliki potensi besar untuk meningkatkan produktivitas pertanian dan membantu para petani dalam menghadapi tantangan yang dihadapi dalam pertanian modern
PKM: Assistance for “TAPIS” Fabric Production Businesses (UMKM) Negeri Katon Village, Pesawaran Regency, Lampung Arnes Yuli Vandika
Jurnal Sipakatau: Inovasi Pengabdian Masyarakat Volume 1 Issue 2 Februari 2024: Jurnal Sipakatau
Publisher : PT. Lontara Digitech Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61220/jsipakatau.v1i2.242

Abstract

However, business players have not utilized it to its full potential despite the fact that the regional government of the Pesawaran area has provided the raw ingredients and equipment necessary to manufacture filter cloth. As a result of their lack of innovation, the items that they manufacture do not meet the requirements of the market share. The purpose of this study is to provide an explanation and analysis of the empowerment of micro- and small-scale enterprises (MSMEs) that produce filter cloth “TAPIS” in Negeri Katon Village, where there exist factors that impede their growth, as well as the efforts that have been taken to overcome these factors. A method known as inductive analysis is utilized in this qualitative descriptive study. In order to conduct an analysis of the empowerment of micro, small, and medium-sized enterprises (MSMEs/ UMKM) in the filter cloth industry, In times of economic turmoil, micro, small, and medium-sized enterprises ((MSMEs) play a crucial part in the Indonesian economy. MSMEs were able to survive the financial crisis that occurred in 1998 as well as the pandemic that was caused by the COVID-19 virus. According to the three roles that micro, small, and medium-sized enterprises (MSMEs/ UMKM) play in the Indonesian economy, which include a means of alleviating poverty, a means of equalizing the economic level of small people, and a means of earning foreign exchange for the country, micro, small, and medium-sized enterprises (MSMEs) are a part of the independent Indonesian economy and have a great potential to improve the welfare of the people. Reducing the amount of data, presenting it, and making conclusions are all steps in the process of data analysis. According to research, the Pesawaran Regency Cooperative Industry and Trade Service has provided support to micro-screen cloth “Tapis” industry makers in Negeri Katon Village who are considered to be micro- or small-scale enterprises. 
DEVELOPMENT AND EVALUATION OF BLOCKCHAIN-BASED E-LEARNING PLATFORMS TO IMPROVE DATA SECURITY Guntur Arie Wibowo; Nukman; Arnes Yuli Vandika
Indonesian Journal of Education (INJOE) Vol. 4 No. 1 (2024): APRIL
Publisher : CV. ADIBA AISHA AMIRA

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

In the industrial era 4.0 with advances in technology and information, e-Learning refers more to distance learning-based learning involving internet networks. E-learning allows flexibility and effectiveness in the learning process. Even while the internet has made it possible to rapidly and readily find knowledge, there are still some things that could be harmful, such security flaws in e-learning platforms. Blockchain is a computer database that electronically saves data in an electronic manner. Blockchain technology has a big impact on data security and industry. Blockchain technology is a mechanism that makes it possible to validate digital transactions securely and decentralized. The literature study approach was used to conduct the research. The idea of e-learning and how it developed, data security issues in e-learning, the fundamentals of blockchain technology, the use of blockchain-based e-learning platforms, and an assessment of the effect of employing blockchain on data security are all covered in this study.
APPLICATIONS OF MACHINE LEARNING IN DIAGNOSTICS AND SPECIAL EDUCATION INTERVENTIONS Alim Hardiansyah; Ardiyanto Saleh Modjo; Arnes Yuli Vandika
Indonesian Journal of Education (INJOE) Vol. 4 No. 1 (2024): APRIL
Publisher : CV. ADIBA AISHA AMIRA

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Abstract

Special education is a basic right for children with special needs. In the technological era, machine learning plays an important role in supporting the education of these children by providing personalized learning, early detection of disorders, assisting communication, and training life skills. With joint efforts, we can create special educational environments that support optimal development for all children, including those with special needs. The importance of special education cannot be ignored and machine learning is emerging as a powerful ally in providing an approach tailored to the needs of each child. Machine Learning can customize curriculum, monitor progress, and provide real-time feedback. This helps create a more personalized and effective learning experience. The literature study approach was used to conduct the research. Data and information about the use of machine learning in special education diagnosis and interventions were gathered through a review of the literature. The concept of special education, issues with diagnosis and intervention in special education, the use of technology in education, the introduction and application of machine learning in the field of education, and the advantages and difficulties of implementing machine learning in special education are all covered in this research.
USING NEURAL COLLABORATIVE FILTERING TO PERSONALIZE ONLINE LEARNING CONTENT Novianty Djafri; Kasmudin Mustapa; Arnes Yuli Vandika
Indonesian Journal of Education (INJOE) Vol. 4 No. 1 (2024): APRIL
Publisher : CV. ADIBA AISHA AMIRA

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Abstract

Personalization of learning is a strategy used to determine the characteristics of learners so they can learn effectively. There are many approaches that can be taken to personalize learning. This system for personalizing learning content in the form of recommendations for online learning content was built using the Neural Collaborative Filtering method and utilizes a collection of implicit feedback data taken from student activity records when interacting with online learning content as reference data to produce recommendations. The design of a learning content personalization system in the form of recommendations on online learning content for students using the Neural Collaborative Filtering method has been successfully built and can run well in online learning content. The literature study approach was used to conduct the research. Data and relevant information were gathered through a review of the literature using Neural Collaborative Filtering to personalize online learning content. This research discusses traditional methods in personalizing online learning content, Neural Collaborative Filtering, relevant previous research, and the implementation of Neural Collaborative Filtering in online learning content.
THE ROLE OF ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING IN PRECISION TARGETING: REVOLUTIONIZING MARKETING STRATEGIES Silvia Ekasari; Loso Judijanto; Arnes Yuli Vandika
Jurnal Ekonomi dan Bisnis Vol. 2 No. 3 (2024): Maret
Publisher : ADISAM PUBLISHER

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Abstract

Digital marketing has undergone rapid evolution in recent years. The development of machine learning and artificial intelligence (AI) is one of the major shifts affecting the marketing environment (ML). This technology has completely changed how businesses engage with their clientele and maximize their advertising budgets. Artificial intelligence refers to the ability of a computer or system to imitate human intelligence. In the context of digital marketing, AI can be used to quickly and efficiently analyze data, identify patterns and provide valuable insights. With artificial intelligence, companies can make smarter decisions and optimize their marketing campaigns based on deeply analyzed data. The method used in this article is the study method. Literature studies can be obtained from various sources, including journals, books, documentation, the internet and libraries. This research discusses the definition of AI and ML, the transformation of the marketing sector by digital platforms and data analytics, the exploration of precision marketing and its increasing relevance in the digital era, the role of AI and ML in data mining for precision targeting, the contribution of AI in creating more granular customer segments, and the study of ML in predictive analytics to anticipate customer behavior.
The Role of Fintech Innovation in Financial Inclusion: A Literature Review of Emerging Tren and Challenges Daniel Pasaribu; Loso Judijanto; Arnes Yuli Vandika; Nikma Bilondato; Eko Sudarmanto; T Saiful Basri
Innovative: Journal Of Social Science Research Vol. 4 No. 2 (2024): Innovative: Journal Of Social Science Research
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/innovative.v4i2.9804

Abstract

Inovasi fintech berkembang pesat dalam beberapa tahun terakhir, menawarkan solusi keuangan yang lebih mudah diakses dan terjangkau bagi masyarakat luas. Hal ini membuka peluang untuk meningkatkan inklusi keuangan, terutama bagi mereka yang sebelumnya tidak memiliki akses ke layanan keuangan tradisional. Penelitian ini bertujuan untuk menganalisis peran inovasi fintech dalam meningkatkan inklusi keuangan. Penelitian ini menggunakan metode kualitatif dengan studi literatur dan analisis data sekunder. Data dikumpulkan dari berbagai sumber, seperti jurnal ilmiah, laporan penelitian, dan publikasi resmi dari lembaga terkait. Hasil Penelitian ini menyimpulkan bahwa bahwa fintech telah memainkan peran yang signifikan dalam memperluas akses terhadap layanan keuangan di seluruh dunia. Melalui penerapan teknologi terkini, fintech telah berhasil mengatasi beberapa hambatan tradisional dalam akses keuangan, seperti biaya tinggi dan keterbatasan infrastruktur. Meskipun demikian, tantangan yang signifikan masih ada, termasuk masalah regulasi yang bervariasi di berbagai negara, keamanan dan privasi data, serta kesenjangan akses teknologi di wilayah-wilayah terpencil.
Bibliometric Analysis on the Use of Artificial Intelligence in Improving the Efficiency of Banking Financial Processes in Southeast Asian Countries Hendri Khuan; Loso Judijanto; Titiek Rachmawati; Tia Tanjung; Arnes Yuli Vandika
West Science Interdisciplinary Studies Vol. 2 No. 01 (2024): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v2i01.597

Abstract

This bibliometric analysis delves into the utilization of Artificial Intelligence (AI) in enhancing the efficiency of banking financial processes within Southeast Asian countries. With the banking sector in Southeast Asia undergoing rapid technological transformation, AI has emerged as a pivotal force, promising improvements in operational efficiency, risk management, and customer experience. By analyzing the scholarly landscape, including citation metrics, network visualizations, trend analysis, and density visualization, this research uncovers key themes and trends in the adoption of AI in banking across the region. The study not only offers valuable insights into the evolving research domain but also provides guidance for academics, practitioners, and policymakers aiming to shape the future of financial processes in Southeast Asia.
The Effect of Customer Relationship Management, Digital Advertising, and Discount Programs on Customer Loyalty at Start-ups in Jakarta Frans Sudirjo; Faridah Faridah; Wahyuni Sri Astutik; Arnes Yuli Vandika
West Science Interdisciplinary Studies Vol. 2 No. 07 (2024): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v2i07.1101

Abstract

This study investigates the influence of Customer Relationship Management (CRM), digital advertising, and discount programs on customer loyalty at a start-up company in Jakarta. Utilizing a quantitative research methodology, data were collected from 180 respondents through a structured questionnaire employing a Likert scale ranging from 1 to 5. The data were analyzed using Structural Equation Modeling-Partial Least Squares (SEM-PLS 3). The findings indicate that all hypotheses are positive and significant, demonstrating that effective CRM practices, strategic digital advertising, and attractive discount programs significantly enhance customer loyalty. Specifically, CRM showed a path coefficient of 0.293, digital advertising 0.223, and discount programs 0.351, with all paths being statistically significant. These results underline the critical role of integrated marketing strategies in fostering strong customer relationships and loyalty in the competitive start-up environment.
Co-Authors Abdul Muid Fabanyo Achmad Choerudin Ade Kurniawan Ade Kurniawan Ade Suhara Afen Prana Utama Sembiring Afrizal Afrizal Agus Mukholid Ahmad Cucus Ahmad Zaelani Adnan Ainun Jariyah Aldo, Novian Alim Hardiansyah Alim Hardiansyah Ambarwati, Rini Amelia S. Sarungallo Andi Naila Quin Azisah Aliasyahbana andrew shandy utama, andrew shandy Anggun Nugroho Ansar Ansar Archristhea Amahoru Ardiyanto Saleh Modjo Ari Kurniawan Saputra ARIEF BUDI PRATOMO Arief Yanto Rukmana Arif Mudi Priyatno Arifudin, Opan Aris Triwiyatno Aris Triwiyatno Arnadi Arnadi Asfahani Asfahani Aslam, Annisa Paramaswary Aslan Aslan Astutik, Wahyuni Sri Bambang Prihantoro Nugroho Bambang Winardi Bambang Winardi Baso Intang Sappaile Basri, T. Saiful Bekti Setiadi Bekti Utomo Chevy Herli Sumerli Dadang Muhammad Hasyim Daniel Pasaribu Debi Herlina Meilani Debi Herlina Meilani Deddy Hidayat Devi Rahmah Sope Dewantara, Rizki Dewantara, Rizki Dewi Endah Fajariana, Dewi Endah Dian Firdaus Dian Resha Agustina Dina Ika Wahyuningsih Dunggio, Abdul Rivai Saleh Dwi Aris Nurohman Effendy, Femmy Eka Imama Novita Sari Eka Imama Novita Sari Eka Imama Novita Sari Eka Imama Novita Sari Eka Imama Novitasari Eko Sudarmanto Endrixs Endrianto Fadhilah, St. Annisa Nurul Faiz Muqorrir Kaaffah Farida Arinie Soelistianto Faridah Faridah Faridah Faridah Fenty Ariani Feriyanti, Yang Gusti Frans Sudirjo Frans Sudirjo Gilang Pranajasakti Guntur Arie Wibowo Gusma Afriani Guterres, Juvinal Ximenes Hamzah, Abd Natsir Handy Widjaya Hanifah Nurul Muthmainah Hannan Fadlurahman Harsya, Rabith Madah Khulaili Hartawan, Muhammad Syarif Hazmi, Muhammad Helta Anggia Hendri Khuan Heri Aji Setiawan Hermansyah Hermansyah Hery Widijanto Hildawati Husain Nurisman I Putu Dody Suarnatha I Wayan Adi Pratama Ikhwanto Asri Ilham Ilham Indah Merakati Ismail, Rima Ruktiari Jackson Yumame Jasmin Jasmin Jatmiko Wahyu Nugroho Jauhari, Burhanuddin Joko Santoso Judijanto, Loso K, Hairuddin Kasim, Jamila Kasmudin Mustapa Khrisna Agung Cendekiawan, Khrisna Agung Khuan, Hendri Legito Lestari Wuryanti Lola Yustrisia Loso Judijanto Loso Judijanto Luckhy Natalia Anastasye Lotte Lucky Mahesa Yahya M. Ammar Muhtadi M. Anwar Aini Made Susilawati Manalu, Margareta Margareta Manalu Marwah Mayasari, Nanny Mei Rani Amalia Mislan Sihite, Mislan Moeis, Dikwan Mohammad Arifin Noor Much Deiniatur Muh Arnesta Arnanda Muh Reza Abdillah Muhammad Bitrayoga MUHAMMAD LUTFI Muhammad Syafri Muhammad Syafri, Muhammad Muhammadong Muhammadong Mulia, Madepan Munazar Munazar Nampira, Ardi Azhar Nanny Mayasari Ni Desak Made Santi Diwyarthi Nidia Wulan Sari Nikma Bilondato Ningsih, Yunia Noning Verawati Novianty Djafri Novycha Auliafendri Nukman Nukman Nunung Suryana Jamin Nur Hakim Nuridayanti Nuridayanti Nurisman, Husain Nurohman, Dwi Aris Palupiningtyas, Dyah Pannyiwi, Rahmat Puspitarini, Nurul Aisyiyah Qudratullah, Fyzria Radiah Ilham Rahman Rahmat, Rezqiqah Aulia Rahmi Setiawati Rasmita, Dina Rezki Fitriani Rina Destiana Rival Fahrijal Rizki Andita Noviar Rosmawati Harahap Rosmiati Rosmiati Rovanita Rama Rulan Nur Afiani Rully Fildansyah Ruri Koesliandana Ruri Koesliandana Ruri Koesliandana Ruri Koesliandana Ruri Koesliandana Safarudin, Muhamad Sigid Sagena, Unggul Said Hamzali Samsul Arifin Samsul Arifin Saputra, M. Khalid Fredy Satya Arisena Hendrawan Sawaluddin Siregar Sayed Achmady Sehan Rifky Setiadi, Bekti setiawati, rahmi Setyorini, Dhiana Silvia Ekasari Sima, Yenny Simarangkir, Manase Sahat H Soelistianto, Farida Arinie Sri Ariyanti Sri Widiastuti Sudarmanto, Eko Sudarmo Sudarmo Suhara, Ade Suharni Supriyanti Supriyanti Syafril Barus Syam Gunawan Syawal Aprian T Saiful Basri Tanwir Tanwir Tera Lesmana Thalib, Kiki Uniatri Thea Marisca Marbun B.N Tia Tanjung Tia Tanjung, Tia Titiek Rachmawati Titiek Rachmawati Toalib, Ramli Tri Budi Rahayu, Tri Budi Triani Prata Pertiwi Triyugo Winarko Ummu Kalsum Unggul Sagena Upeka Mendis Usman Tahir Utama, Ahmad Nur Budi Utomo, Bekti Wahidyanti Rahayu Hastutiningtyas Wahyuni Sri Astutik Wardhani, Diky Wendy Souisa Wifasari, Septi Wijaya, Hamid Wiwin Susanty Wuryanti, Lestari Yana Priyana Yoga Dwi Goesty D.S Yulis, Dian Meiliani Yusuf Yusuf Zaenal Arief Zani, Benny Novico Zohaib Hassan Sain Zulkifli Zulkifli Zunan Setiawan