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All Journal Technomedia Journal Aptisi Transactions on Management Best Journal (Biology Education, Sains and Technology) Journal of Computer Science and Technology Application
Agung Rizky
UNIVERSITAS RAHARJA
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Computer Science & IT Decision Sciences, Operations Research & Management Education Immunology & microbiology Languange, Linguistic, Communication & Media Public Health Other

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Perancangan Sistem Informasi Teknologi Website Dalam Pembelajaran Online Berbasis Framework Laravel Di Era Revolusi 4.0 Agung Rizky; Aditya Susilo J Walihadi; Tedy Anwar; Bregas Arif Haryanto; Millia Idfitri; Hidaya Aulia Safina
BEST Journal (Biology Education, Sains and Technology) Vol 5, No 1 (2022): Juni 2022
Publisher : Program Studi Pendidikan Biologi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30743/best.v5i1.4665

Abstract

Dalam mendukung pembelajaran online diperlukannya revolusi dalam menggunakan media sistem informasi pembelajaran tersebut, dengan tujuan untuk memberikan pelayanan yang efektif dan efisien kepada pembelajar dan pengajar, sehingga dapat mempermudah untuk mengaksesnya secara online melalui platform yang telah disediakan. Revolusi 4.0 ini merupakan suatu terobosan yang sangat berguna untuk masa depan Pendidikan dalam dunia digital, yang sudah kita ketahui pembelajaran sebelumnya hanya menggunakan sistem secara manual, tentunya memakan waktu dan tidak fleksibel, bukan hanya hal itu saja, yang pastinya suatu hal dilakukan dengan manual itu sangat merepotkan. Maka dari itu sang peneliti memberikan solusi dengan menyediakan sebuah sistem informasi teknologi berbasis framework Laravel untuk membuat platform website pembelajaran online. Penelitian ini menggunakan metode penelitian prototype, dengan pengembangan menggunakan framework Laravel, didukung menggunakan MYSQL dan blackbox testing.
Dampak Teknologi Informasi Sebagai Pendukung Dalam Pembelajaran Jarak Jauh Pada Era Pandemi Covid-19 Agung Rizky; Abdilah Khusufi; Jamalludin Jamalludin; Leni Marta Setiyani; Novriandy Bagas Pratama; Alsa Rizky Januareza
BEST Journal (Biology Education, Sains and Technology) Vol 5, No 1 (2022): Juni 2022
Publisher : Program Studi Pendidikan Biologi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30743/best.v5i1.5190

Abstract

Virus Covid-19 telah mewabah sejak tahun 2019, penyakit ini telah merubah kehidupan di seluruh dunia hingga tak sedikit orang yang kehilangan pekerjaannya karena pandemi covid-19 ini. Penyakit ini juga tentunya memberikan dampak, khususnya dunia pendidikan menjadi pembelajaran jarak jauh. Pembelajaran jarak jauh atau biasa disingkat dengan PJJ memanfaatkan patform yang tentunya membutuhkan koneksi internet agar bisa melaksanakan kegiatan belajar mengajar. Pada kesempatan kali ini platform yang digunakan yaitu Google Meet dan Edmodo. Penelitian ini menggunakan metode kualitatif yang bersifat deskriptif, maka peneliti menyajikan dalam bentuk kata-kata atau gambar sesuai dengan kejadian fakta. Hasil dari penelitian ini adalah dampak yang terjadi akibat dari pembelajaran jarak jauh atau PJJ terdapat kendala yang dialami oleh mahasiswa dalam melaksanakan pembelajaran. Dengan adanya PJJ ini semoga ditemukan suatu platform yang tepat dan kendala yang dialami lainnya dapat segera tuntas.
Use of Blockchain Technology in Implementing Information System Security On Education Agung Rizky; Sandira Kurniawan; Rizky Dwi Gumelar; Viki Andriyan; Muhammad Bian Prakoso
BEST Journal (Biology Education, Sains and Technology) Vol 4, No 1 (2021): Juni 2021
Publisher : Program Studi Pendidikan Biologi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30743/best.v4i1.3640

Abstract

Utilizing blockchain technology for information system security in the field of education is that all information data that has been entered cannot be faked, lost, or damaged easily, and also with blockchain, one can send data and information instantaneously and be decentralized without relying on third parties. Blockchain is a ledger that can efficiently and effectively record transactions between two parties that have been distributed and in a verifiable and permanent way. However, even though the application of blockchain technology in education has not been utilized globally However, researchers try to evaluate the security of information systems in education using fingerprints by implementing cryptographic hash security sensors so that the results of this study are achieved and are useful for the world of education. This research method uses the SWOT method and all these things will be discussed.Keyword :  Blockchain Technology, Education, Swot Method
THE ROLE OF BLOCKCHAIN TECHNOLOGY IN FACING REVOLUTION EDUCATION 4.0 Agung Rizky; Shatya Silen; Desandio Ananda Putra
BEST Journal (Biology Education, Sains and Technology) Vol 4, No 1 (2021): Juni 2021
Publisher : Program Studi Pendidikan Biologi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30743/best.v4i1.3704

Abstract

Although several concepts for implementing education exaggerated using blockchain technology, t agreements which are allocated ledgers carefully and thoroughly. Blockchain technology, unlike databases that are processed by certain forces that provide policies in correctness of data through real-time implementation, Blockchain is a digital data storage system containing records that are connected via cryptography. Blockchain technology has now been used by various sectors, one of which is for transactions in cryptocurrencies such as Bitcoin. The benefit of the blockchain technology approach in education is that people who do not have knowledge of blockchain technology can benefit from blockchain technology, because a lot of the data generated by this sector is continuous from education to Bachelor. Blockchain, can be used as, "a machine to create high-level security and reliable security", the high level of security and efficiency of blockchain as a storage place for financial transactions and data has opened up opportunities for innovation in education as a storage for educators and students' data.
Pemanfaatan Teknologi Website Pada Perancangan Sistem Kepegawaian Dalam Mendukung Perhitungan Penggajian Di PT. Herda Sentosa Tangerang Ruli Supriati; Putri Rachmanda Priyadi; Indah Sulastri; Agung Rizky; Siti Auliawati Adawiyah
BEST Journal (Biology Education, Sains and Technology) Vol 4, No 2 (2021): September 2021
Publisher : Program Studi Pendidikan Biologi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30743/best.v4i2.4078

Abstract

Pesatnya dunia teknologi berkembang pada seluruh dunia semakin signifikan dalam mempermudah suatu pekerjaan dengan cepat. Dan besarnya manfaat teknologi digital kini beberapa perusahaan mulai menerapkannya pada sistem penggajian untuk mengoptimalkan suatu pekerjaan.. Seperti halnya PT. Herda Sentosa Tangerang sebagai salah satu perusahaan yang bergerak pada bidang Sumber Daya Manusia. PT. Herda Sentosa Tangerang tersebut memiliki suatu masalah, pada sistem penggajian terhadap pegawai secara manual contohnya pada pengelolaan data jam lembur dan data pembayaran gaji pegawai masih kurang cepat dan kurang akurat. Masalah masalah ini terkadang mengganggu sistem penggajian PT. Herda Sentosa Tangerang. Dengan permasalahan yang ada terciptalah sebuah ide untuk memanfaatkan teknologi digital berbasis web dalam mengelola sistem penggajian agar semua data dapat mudah dan cepat diolah serta meminimalisir kesalah-kesalahan yang akan terjadi jika masih dilakukan   secara manual. Guna menunjang penelitian ini, pada penelitian ini akan menggunakan metode penelitian analisis studi pustaka, dengan menggunakan bahasa pemrograman PHP  sebagai pengembangan web dan MySQL sebagai database serta rancangan model menggunakan Unified Modeling Language (UML) untuk menggambarkan kebutuhan user agar sistem layanan penduduk dapat terkomputerisasi sehingga sistem lebih mudah diakses, sistem yang terintegrasi dengan database, semoga dengan penerapan ini akan memberikan dampak yang signifikan pada penelitian ini.
Implementasi Teknologi Blockchain Untuk Optimalisasi Keamanan Pengarsipan Surat Masuk dan Keluar Pada Sebuah Perusahaan Agung Rizky; Wildan Athoilah; Muhamad Zarkasih; Fajar Mirza Rafanjani; Alfriyan Nursidi
BEST Journal (Biology Education, Sains and Technology) Vol 5, No 2 (2022): September 2022
Publisher : Program Studi Pendidikan Biologi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30743/best.v5i2.6058

Abstract

Seiring dengan perkembangan zaman segala hal semakin berkembang, semakin maju, terutama pada dunia teknologi. Blockchain merupakan teknologi yang sedang hangat diperbincangkan karena memiliki sistem data digital yang melekat dengan kriptografi dan tingkat keamanan tinggi, kini blockchain sudah berevolusi ke berbagai bidang, diantaranya seperti pendidikan, jasa, perbankan dan lain sebagainya. Maka dari itu peneliti memanfaatkan teknologi blockchain ini pada sistem keamanannya, penelitian ini akan difokuskan untuk mencapai hasil yang signifikan pada sistem keamanan data pengarsipan di sebuah perusahaan. untuk mencapai hasil tersebut peneliti menggunakan Metode penelitian studi pustaka dan deskriptif. Dengan harapan sistem keamanan yang dimiliki teknologi blockchain ini dapat membantu dalam proses pengarsipan sebuah data. 
Artificial Intelligence Driven Predictive Risk Management in Green Technology Investment Paroli Paroli; Agung Rizky; Qurotul Aini; Dwi Cahyono; Jonathan Parker; Untung Rahardja
APTISI Transactions on Management (ATM) Vol 10 No 2 (2026): ATM (APTISI Transactions on Management: May)
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/atm.v10i2.2635

Abstract

This study explores predictive risk management in green technology investments by leveraging Artificial Intelligence (AI) to address uncertainties associated with sustainable projects. As global financial institutions and governments increasingly allocate capital toward renewable energy, smart infrastructure, and low-carbon innovation, investors face multidimensional risks, including market volatility, technological failure, and regulatory change. Therefore, this research aims to develop an AI-driven predictive framework capable of identifying, analyzing, and forecasting potential investment risks in green technology portfolios to support informed decision-making. The study employs a quantitative approach using machine learning algorithms, including Random Forest, Gradient Boosting, and Neural Networks, trained on historical financial indicators, environmental performance metrics, and policy datasets. Each algorithm is selected based on its strengths: Random Forest for robustness, Gradient Boosting for predictive accuracy, and Neural Networks for capturing complex nonlinear relationships. A comparative perspective is used to highlight their tradeoffs, followed by feature importance analysis and predictive validation through cross-validation and evaluation metrics such as accuracy, precision, and RMSE. The findings show that the proposed model improves early risk detection compared to conventional statistical models, highlighting the effectiveness of machine learning in handling complex sustainability data. Furthermore, it identifies key risk determinants and enhances predictive reliability. Consequently, integrating AI-based predictive analytics into green investment strategies can strengthen risk mitigation, improve investor confidence, and support sustainable financial decision-making.
Secure Communication in Solar Panel Monitoring Systems Using SmartPLS Ageng Setiani Rafika; Dhimas Tribuana; Rohim Rohim; Agung Rizky; Chua Toh Hua
CORISINTA Vol 3 No 2 (2026): August
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/gtmmg783

Abstract

This study investigates the factors shaping secure communication architecture in solar panel monitoring systems within smart grid environments, focusing on cybersecurity, data integrity, and system reliability. The integration of solar photovoltaic systems with digital monitoring networks enhances real-time energy management but introduces communication vulnerabilities affecting monitoring accuracy and operational stability. This study aims to assess how Network Security, Data Integrity, and System Reliability contribute to Secure Communication Architecture and Monitoring Performance. A quantitative research design was employed, and the proposed model was analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) via SmartPLS. The research model included five constructs: Network Security, Data Integrity, System Reliability, Secure Communication Architecture, and Monitoring Performance. Results indicate that Network Security significantly and positively affects Secure Communication Architecture, while Data Integrity positively influences both Secure Communication Architecture and System Reliability. Furthermore, Secure Communication Architecture and System Reliability both contribute positively to Monitoring Performance. The measurement model demonstrated acceptable reliability and validity, confirming construct robustness. These findings highlight that effective solar panel monitoring systems depend not only on technical energy infrastructure but also on secure, reliable communication networks that ensure accurate and timely data exchange. The study concludes that strengthening cybersecurity mechanisms, data integrity controls, and communication reliability is essential to improve monitoring performance and support resilient smart grid-based renewable energy management.
Business Intelligence Implementation to Support Data Driven Strategic Decision Making in Digital Organizations Tessa Handra; Agung Rizky; Mungkap Mangapul Siahaan; Steven Harazaki Lase; Kamal Arif Al-Farouqi
Technomedia Journal Vol 11 No 1 (2026): June
Publisher : Pandawan Incorporation, Alphabet Incubator Universitas Raharja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/tmj.v11i1.2640

Abstract

Digital transformation has encouraged organizations to generate large volumes of data that must be managed effectively to support strategic decision-making. Business Intelligence has become a solution for integrating, analyzing, and presenting data into valuable information. This study aims to analyze the implementation of Business Intelligence in digital organizations, its role in supporting data-driven strategic decision-making, as well as the benefits and challenges of its implementation. This study used a qualitative method with a literature review approach by examining journals, scientific articles, and other academic publications related to the research topic. The data were analyzed using descriptive qualitative analysis. The results show that the implementation of BI through data warehouses, dashboards, reporting systems, and data analytics can improve operational efficiency, accelerate access to information, and support performance monitoring and business trend analysis more effectively. BI also supports faster and more accurate data-driven decision-making. Business Intelligence plays an important role in supporting strategic data-driven decision-making in digital organizations. However, its implementation still faces challenges related to data quality, information security, limited human resource competencies, and high technology implementation costs.
Co-Authors Abdilah Khusufi Aditya Susilo J Walihadi Alfriyan Nursidi Alsa Rizky Januareza Bregas Arif Haryanto Chua Toh Hua Desandio Ananda Putra Dhimas Tribuana DWI CAHYONO Fajar Mirza Rafanjani Hidaya Aulia Safina Indah Sulastri Jamalludin Jamalludin Jonathan Parker Kamal Arif Al-Farouqi Leni Marta Setiyani Millia Idfitri Muhamad Zarkasih Muhammad Bian Prakoso Mungkap Mangapul Siahaan Novriandy Bagas Pratama Paroli Paroli Putri Rachmanda Priyadi Qurotul Aini Rafika, Ageng Setiani Rizky Dwi Gumelar Rohim Rohim Ruli Supriati, Ruli Sandira Kurniawan Shatya Silen Siti Auliawati Adawiyah Steven Harazaki Lase Tedy Anwar Tessa Handra Untung Rahardja Viki Andriyan Wildan Athoilah