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All Journal JURIKOM (Jurnal Riset Komputer) Building of Informatics, Technology and Science Jurnal Indonesia Sosial Teknologi Journal of Business, Social and Technology Equivalent: Jurnal Ilmiah Sosial Teknik Jitu: Jurnal Informatika Utama Indonesian Cyber Law Review Journal of Innovation and Operational System
Riyan, Ade Bani
Politeknik Siber Cerdika Internasional
Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Mechanical Engineering Social Sciences Transportation

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Smart School Sebagai Sarana Informasi Sekolah di SDIT Ibnu Khaldun Cirebon Ade Bani Riyan; Dwi Teguh Afandi; Tuti Hartati; Dita Rizki Amalia; Odi Nurdiawan
JURIKOM (Jurnal Riset Komputer) Vol 8, No 6 (2021): Desember 2021
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v8i6.3681

Abstract

The need for information in the world of education in this modern era is very important in determining the progress of an institution. By implementing and utilizing information technology can facilitate school institutions in organizing data and will produce a database file that will make it easier for users to access data. However, the use of information technology at SDIT Ibnu Khaldun Cirebon has not been used optimally. This is where the author's desire to create a Smart School application emerged, which is an application that functions as an academic information application to support daily activities at the school.This study aims to improve the quality of schools and meet the needs of schools and parents in disseminating general school information, and student academic information at SDIT Ibnu Khaldun Cirebon.The method used in this research is the research and development method. Data collection techniques in this study using interviews. This research was conducted at SDIT Ibnu Khaldun by involving teachers, principals, students, and parents of students as research subjects.Based on the results of testing with the black box method on the Smart School application, it can be concluded that functionally it produces results that are in line with expectations
Sales Application on Distro Souplay Ade Bani Riyan
Journal of Business Social and Technology Vol. 1 No. 1 (2020): Journal of Business, Social and Technology
Publisher : Politeknik Siber Cerdika Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (376.35 KB) | DOI: 10.59261/jbt.v1i1.27

Abstract

The development of the business world is now inseparable from the support of technology, especially computer technology and information because in increasingly modern economic activities are needed the existence of computer technology to support and facilitate all economic activities in order to achieve these goals. With the use of computers as a tool in Distro Souplay does not mean without problems, there are still troublesome things and obstacles to create a comfortable and efficient atmosphere while in Distro suoplay. The accumulation of irregular goods data. The slow search for data needed when ordering an item of goods Adds knowledge and insights, especially about the sale of goods and implements the science obtained in lectures into the business world.
Pengembangan Model Sistem Informasi Geografis Angkot Online Berbasis SCRUM: Ujicoba Kelayakan Rifa’i, Mochamad Fikri; Ghazali, Dexsa Muliana; Riyan, Ade Bani
Building of Informatics, Technology and Science (BITS) Vol 4 No 3 (2022): December 2022
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v4i3.2581

Abstract

Angkot drivers can compete with online transportation in getting passengers via smartphones. This application is based on a geographic information system, which is a system that can show the location of a person or place online, using this system to be integrated with public transportation makes it possible to add or pick up passengers more efficiently not only by waiting in one place but can pick up passengers according to the location of the passenger and the transportation route. To overcome the above problems, making applications with a technology theme is one of the right solutions for innovative methods that will be applied to public transportation drivers so they can get passengers efficiently. The purpose of this study is to determine the user's response to the application that has been developed. The research method used is research and development with a 4D development model with “define, design, development, and dissemination stages”. Data collection was carried out by distributing questionnaires to several respondents, while the trial stages carried out included alpha version trials, beta versions trials, Version Release, and Implementation. The results of the study show that the indicators of language, appearance, and accessibility of applications that have been developed are classified as "very feasible". The developed online angkot application is expected to be a solution in dealing with technological developments that can be applied to public transportation
Perkembangan Kecerdasan Buatan (AI) Dan Dampaknya Pada Dunia Teknologi Zaenudin, Imam; Riyan, Ade Bani
Jurnal Pendidikan Umum Vol 2 No 2 (2024): Jitu: Jurnal Informatika Utama
Publisher : CV. Astina Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55903/jitu.v2i2.240

Abstract

Kecerdasan buatan (Artificial Intelligence – AI) telah berkembang pesat dalam beberapa dekade terakhir dan menjadi pendorong utama transformasi digital di berbagai sektor. AI telah diterapkan dalam industri, kesehatan, keuangan, transportasi, dan pendidikan, memungkinkan peningkatan efisiensi, otomatisasi, serta pengambilan keputusan berbasis data. Namun, perkembangan AI juga menghadirkan tantangan besar, seperti kesenjangan regulasi, bias algoritma, ancaman terhadap privasi data, serta dampaknya terhadap pasar tenaga kerja. Oleh karena itu, penelitian ini bertujuan untuk mengkaji evolusi AI, implikasinya dalam dunia teknologi, serta tantangan dan prospek pengembangannya di masa depan. Penelitian ini menggunakan kajian literatur dan analisis data sekunder dari jurnal ilmiah, buku akademik, serta laporan industri dari lembaga seperti McKinsey, World Economic Forum, Gartner, dan Stanford AI Index Report. Hasil penelitian menunjukkan bahwa AI telah meningkatkan produktivitas hingga 40% di berbagai sektor industri, dengan dampak ekonomi yang diproyeksikan mencapai $15,7 triliun pada tahun 2030. Di sektor kesehatan, AI mampu meningkatkan akurasi diagnosis hingga 96%, sementara dalam industri manufaktur, teknologi berbasis AI telah mengurangi downtime produksi sebesar 30%. Namun, tantangan utama yang dihadapi mencakup kesenjangan regulasi AI di berbagai negara, isu bias algoritma dalam pengambilan keputusan, serta risiko penggantian tenaga kerja akibat otomatisasi. Kesimpulan dari penelitian ini menegaskan bahwa AI memiliki potensi besar untuk terus berkembang dan memberikan manfaat luas, tetapi pengelolaannya harus dilakukan secara bertanggung jawab. Regulasi yang lebih komprehensif, adopsi Explainable AI (XAI), serta strategi upskilling tenaga kerja menjadi faktor kunci dalam memastikan bahwa AI berkembang secara berkelanjutan dan memberikan dampak positif bagi masyarakat global.
Utilization of Digitalization on the Quality Of Administrative Services in Karang Wangi Village, Cirebon Riyan, Ade Bani; Maulana, Muhammad Asril; Kholipah, Siti Ainul; Janah, Hanah Wardatul; Ruaesih, Endang
Jurnal Indonesia Sosial Teknologi Vol. 6 No. 5 (2025): Jurnal Indonesia Sosial Teknologi
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jist.v6i5.9059

Abstract

This study examines the impact of digitization on the quality of administrative services in Karangwangi Village, Cirebon, amidst the government’s smart village initiative aimed at improving public service efficiency and village governance. The research aims to analyze community satisfaction, identify challenges in digitalization implementation, and provide strategic recommendations for enhancement. Employing a qualitative case study approach, data were collected through in-depth interviews with village officials and residents, direct observations of digital service usage, and review of relevant documents. Findings reveal that while digitization has positively influenced service speed and transparency, significant obstacles remain, including limited digital literacy among residents, inadequate technological infrastructure, and insufficient training for village officials. Community satisfaction with digital services is generally high, yet access and information transparency need improvement. The study concludes that to maximize the benefits of digital administration, efforts must focus on enhancing infrastructure, expanding training programs for officials and residents, and increasing socialization about digital services. This research offers valuable insights for policy makers and village governments seeking to optimize digital transformation in rural public services and supports broader efforts to modernize administrative functions at the village level.
Pendekatan Kecerdasan Buatan Hibrida dalam Meningkatkan Akurasi Prediksi Churn pada Big Data Riyan, Ade Bani
Jurnal Indonesia Sosial Teknologi Vol. 6 No. 8 (2025): Jurnal Indonesia Sosial Teknologi
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jist.v6i8.9094

Abstract

The explosion of digital data has given birth to the era of big data, which presents great opportunities as well as significant challenges in knowledge extraction. Traditional data mining processes often face obstacles in terms of accuracy and efficiency when faced with massive data volume, variety, and speed. This study aims to propose and evaluate a hybrid model based on Artificial Intelligence (AI) to improve the performance of the data mining process on large-scale data sets. The proposed model integrates the power of Random Forest's algorithm in handling structured data and resistance to overfitting, with the ability of Neural Networks to model complex non-linear relationships. The research uses a case study on customer churn data from the e-commerce industry which contains 1.5 million records, with comprehensive data mining process stages, ranging from data preprocessing, feature engineering, to model implementation. The results of the evaluation showed that the hybrid model achieved an accuracy of 94.7% and an AUC (Area Under the Curve) value of 0.97, significantly outperforming the Random Forest (91.2% accuracy, 0.93 AUC) and Artificial Neural Network (92.5% accuracy, 0.95 AUC) models. Although hybrid models require slightly higher computational times, the substantial increase in accuracy provides a strong justification for their use in critical business scenarios. This study provides empirical evidence that the hybrid AI approach is an effective and promising strategy to address the challenges of big data analysis, particularly in critical business scenarios where predictive accuracy is a top priority.
Digital Transformation Strategies for Operational Resilience in Manufacturing: A Case Study Approach Ade Bani Riyan
Journal of Innovation and Operational System Vol. 1 No. 1 (2024): Journal of Innovation and Operational System
Publisher : Politeknik Siber Cerdika Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59261/jiosjournal.v1i1.4

Abstract

This study examines the impact of digital transformation strategies on operational resilience within the manufacturing sector through a qualitative case study approach. Data were collected from five manufacturing firms across the automotive, electronics, and consumer goods sectors, focusing on the role of technologies such as IoT, data analytics, and automation in enhancing agility and responsiveness. Findings indicate that digital transformation initiatives, particularly IoT and predictive analytics, significantly improve operational resilience by enabling real-time data collection, proactive risk management, and enhanced decision-making. However, challenges such as employee resistance and integration with legacy systems highlight the need for tailored implementation strategies, including phased technology adoption and comprehensive training programs. This study supports theories of dynamic capabilities and resilience, suggesting that a strategic alignment of digital transformation efforts can foster long-term operational adaptability. Practical implications emphasize the importance of embedding digital initiatives within overall organizational strategy to ensure resilience in dynamic market conditions. Future research could explore the long-term impacts of digital transformation on resilience across various sectors.
Legal Analysis of The Use of AI Emotion Detectors in Online Recruitment by Private Companies Puspitasari, Dyah Ayu Kunthi; Fardiasnyah, Fardiasnyah; Riyan, Ade Bani
Indonesian Cyber Law Review Vol. 3 No. 1 (2026): Indonesian Cyber Law Review
Publisher : Politeknik Siber Cerdika Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59261/iclr.v3i1.41

Abstract

This study aims to analyze the legal implications of the use of Artificial Intelligence (AI) emotion detectors in online recruitment processes by private companies, with a focus on protecting prospective employees' privacy rights and the potential for algorithmic discrimination. The research method used is normative juridical with the Statute Approach, Conceptual Approach, and Comparative Approach to examine regulations, concepts, and comparisons of international practices. The results of the study indicate that the use of AI emotion detectors has the potential to violate the principles of personal data protection as stipulated in the PDP Law, especially regarding the transparency of biometric data processing, the basis of consent, and data security. In addition, there is a risk of algorithmic discrimination due to bias in the dataset, a lack of developer accountability, and the absence of specific regulations governing the use of AI in recruitment in Indonesia. These findings indicate the need for policy updates, the development of technical guidelines, and algorithm audit mechanisms to ensure fairness and non-discrimination in the selection process. This study concludes that the use of AI emotion detectors must be regulated more comprehensively to ensure a balance between technological efficiency and the protection of prospective employees' fundamental rights.
Smartphone-Based Order Recording Application for Non-Technical Users: A Local Network Solution Riyan, Ade Bani; Nasir, Mohamad; Savandha, Septien Dwi; Fatimah, Ade Fitria; Magfiroh, Diana; Amelia, Amelia
Equivalent: Jurnal Ilmiah Sosial Teknik Vol. 8 No. 1 (2026): Equivalent: Jurnal Ilmiah Sosial Teknik
Publisher : Politeknik Siber Cerdika Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59261/jequi.v8i1.253

Abstract

Background: Digital technology adoption among micro, small, and medium enterprises (MSMEs) in Indonesia remains limited, particularly among non-technical users. Many existing commercial applications present barriers related to system complexity, subscription costs, and dependence on stable internet connectivity, which hinder effective business digitalization. Aims: This study aims to develop and evaluate a smartphone-based order recording application tailored to MSME users with limited digital literacy, focusing on accessibility, usability, and operational efficiency without reliance on internet infrastructure. Methods: The research employed a Research and Development (R&D) methodology with a mixed-methods approach. The development process followed five iterative stages: needs analysis involving 18 MSME owners, user-centered system design, technical implementation using a local area network architecture, functional and usability testing, and iterative refinement based on user feedback. Usability evaluation was conducted with 12 non-technical MSME users using task performance metrics and the System Usability Scale (SUS). Results: The application achieved a SUS score of 74.2, indicating good usability, with an average task completion rate of 91.7%, surpassing typical benchmarks for commercial MSME applications. The local network architecture successfully eliminated internet dependency, reduced operational costs, improved system responsiveness, and enhanced data privacy. Key usability factors included simplified interfaces, minimal text input, large touch targets, consistent navigation, and reduced cognitive load. Conclusion: The findings demonstrate that digital solutions designed around user capabilities can effectively bridge the digital divide among non-technical MSME users. This study provides a replicable model for inclusive, low-cost, and accessible business application development in resource-constrained contexts.
Co-Authors Amelia Amelia Dita Rizki Amalia Dwi Teguh Afandi Fardiasnyah, Fardiasnyah Fatimah, Ade Fitria Ghazali, Dexsa Muliana Janah, Hanah Wardatul Kholipah, Siti Ainul magfiroh, diana Mohamad Nasir Muhammad Asril Maulana Odi Nurdiawan Puspitasari, Dyah Ayu Kunthi Rifa’i, Mochamad Fikri Ruaesih, Endang Savandha, Septien Dwi Tuti Hartati Zaenudin, Imam