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Prototype Green Energy System for Real Estate Housing Development Based Internet of Everything Suhendar, Suhendar; Irawan, Bambang; Firmansyah, Gerry; Tjahjono, Budi; Erzed, Nixon; Rahaman, Mosiur
Eduvest - Journal of Universal Studies Vol. 5 No. 6 (2025): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v5i6.51212

Abstract

Climate change and the crisis of conventional energy resources are two interrelated global issues that severely impact environmental sustainability and economic development. Real estate development using renewable energy is carried out for various reasons involving environmental, economic, and social aspects. Internet of Everything (IoE) is a concept that expands the Internet of Things (IoT), including machine-to-machine, machine-to-person, and person-to-person communications with expanded digital features. The research method is quantitative, with numerical data that can be statistically measured in system performance. The research focuses on developing a prototype architecture of green energy for real estate development to maximize the efficiency of solar energy potential. The research's conclusion holds excellent promise for broader implementation. Solar energy's efficiency and potential can be maximized as a renewable energy source by utilizing the Internet of Everything (IoE) for real-time monitoring, control, and analysis. Additionally, this approach can offer valuable insights for decision-making in energy management going forward.
Evaluating the Effectiveness of Center of Internet Security Benchmark for Hardening Linux Servers Against Cyber Attacks Irawan, Bambang; Sheha, Kholid Nur; Rahaman, Mosiur; Erzed, Nixon; Herwanto, Agus
Journal of Social Research Vol. 4 No. 6 (2025): Journal of Social Research
Publisher : International Journal Labs

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55324/josr.v4i6.2544

Abstract

The security of operating systems is critical in safeguarding digital infrastructure, particularly server environments vulnerable to cyberattacks. One proven approach to enhancing OS security is hardening, which involves minimizing the system's attack surface. This study evaluates the effectiveness of the Center for Internet Security (CIS) Benchmark in hardening Ubuntu Server 22.04 against cyber threats. Using the PPDIOO framework, the research implemented hardening procedures via Ansible automation and conducted experimental tests comparing a hardened server against a standard (non-hardened) counterpart. Both servers were subjected to simulated attacks including DDoS, Port Scanning, Brute Force, Web Scanning, and Web Crawling. The results demonstrate a marked improvement in resistance for the hardened server, with attack success rates significantly reduced: 11% for DDoS (versus 94% on the standard server), 0% for Port Scanning, Brute Force, and Web Crawling (versus 20–100% on the standard server), and 67% for Web Scanning (versus 100% on the standard server). These findings underscore the substantial protective advantage conferred by the CIS Benchmark. The study contributes to the field by offering empirical evidence of CIS Benchmark's applicability to modern Linux environments and highlights the value of integrating automated hardening and attack simulations in cybersecurity practices. Future work should examine scalability across different OS platforms and real-world enterprise deployments.
Smart Control Upgrade: IoT-Enhanced Remote Management of Straightening Machine with NodeMCU ESP8266 Irawan, Bambang; Muhlasin, Muhlasin; Erzed, Nixon; Herwanto, Agus; Rahaman, Mosiur; Mooduto, Hanriyawan Adnan
JOIV : International Journal on Informatics Visualization Vol 9, No 5 (2025)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.9.5.2975

Abstract

Straightening machines are essential in the oil and gas industry. These machines are intended to straighten bent drill pipes after the drilling process. The operator must be near the straightening machine for manual operation and control. This limitation prevents the operator from monitoring the machine's performance directly and efficiently. In response to this challenge, this study proposes to use the Internet of Things to enable remote control and monitoring of the straightening machine using the NodeMCU ESP8266 microcontroller. The proposed system integrates sensors and electronic components to collect and process critical data from the straightening machine. The INTER-METH method develops an IoT system to control the straightening machine remotely. The RemoteXY cloud server receives the collected data via a Wi-Fi network using the Message Queuing Telemetry Transport protocol. This setup enables real-time data retrieval by an Android-based application. The proposed system allows the user to monitor the machine's operational status and control it remotely, thereby increasing efficiency by up to 45% and reducing the total cost of operation by about 60%. With the implementation of IoT, the operator could remotely monitor the performance of the straightening machine, thereby increasing operator safety by more than 50%. These advances improve operators' safety conditions and simplify maintenance and operational processes. In addition, future research could focus on robust data security measures. These developing systems could be operated with other industrial IoT platforms and utilize data analytics for predictive maintenance, extending the machine's life.
PERANCANGAN APLIKASI PERENCANAAN KEBUTUHAN MATERIAL MENTAH DALAM MANAJEMEN PRODUKSI MENGGUNAKAN POHON STRUKTUR PRODUK Hidayah, Taufika; Erzed, Nixon; Yulhendri, Yulhendri; Setiawati, Popong
Simtek : jurnal sistem informasi dan teknik komputer Vol. 10 No. 2 (2025): Oktober 2025
Publisher : STMIK Catur Sakti Kendari

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51876/simtek.v10i2.1680

Abstract

Penelitian ini berfokus pada pembuatan aplikasi perencanaan kebutuhan bahan baku (Material Requirements Planning/MRP) dalam manajemen produksi dengan memanfaatkan pendekatan pohon struktur produk (Bill of Materials/BOM). Dalam persaingan industri yang semakin ketat, pengelolaan persediaan dan produksi yang efisien merupakan faktor penting keberhasilan perusahaan manufaktur. Salah satu kendala yang sering muncul adalah kesalahan dalam menghitung kebutuhan bahan yang berdampak pada kelebihan atau kekurangan stok. Analisis kebutuhan, perancangan, pemrograman, pengujian, dan implementasi merupakan langkah-langkah yang membentuk metode pengembangan sistem terstruktur yang dipakai. Pohon struktur produk ialah alat yang dipakai penentu jumlah bahan baku yang dibutuhkan untuk membuat produk dengan membedahnya menjadi bagianpenyusunnya. Temuan memaparkan aplikasi yang dikembangkan secara tepat tentukan kebutuhan material berdasar jumlah barang jadi, memberi detail material yang komprehensif di setiap level, dan gabungkan data inventaris dengan pesanan pembelian. Pengurangan biaya penyimpanan, peningkatan efisiensi produksi (berkat perencanaan material yang lebih baik), dan kemungkinan penundaan disebabkan kekurangan bahan baku ialah semua manfaat dengan aplikasi ini.