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All Journal Jupiter Techno.Com: Jurnal Teknologi Informasi Jurnal TIMES Proceeding of the Electrical Engineering Computer Science and Informatics Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) RABIT: Jurnal Teknologi dan Sistem Informasi Univrab IJCIT (Indonesian Journal on Computer and Information Technology) Jurnal Ilmiah FIFO Jurnal Sains dan Informatika Jurnal Sisfokom (Sistem Informasi dan Komputer) Jiko (Jurnal Informatika dan komputer) Jurnal Teknologi Sistem Informasi dan Aplikasi JSiI (Jurnal Sistem Informasi) Jurnal ICT : Information Communication & Technology Bantenese Jurnal Pengabdian Masyarakat JISA (Jurnal Informatika dan Sains) International Journal of Advances in Data and Information Systems Infotech: Journal of Technology Information SKANIKA: Sistem Komputer dan Teknik Informatika Jurnal Pendidikan dan Teknologi Indonesia Jurnal Abdimas Sangkabira Jurnal Mahasiswa Sistem Informasi (JMSI) Kresna: Jurnal Riset dan Pengabdian Masyarakat Bit (Fakultas Teknologi Informasi Universitas Budi Luhur) Golden Ratio of Data in Summary Eduvest - Journal of Universal Studies OKTAL : Jurnal Ilmu Komputer dan Sains Artinara Computer Journal Radiant : Journal of Applied, Social, and Education Studies Jurnal Ilmu Komputer Journal of Computer Science Advancements
Ruwirohi, Jan Everhard
Universitas Budi Luhur
Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Astronomy Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Mathematics Neuroscience Social Sciences Other

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INTRODUCTION OF LORA COMMUNICATION SYSTEM AND REMOTE CONTROL SYSTEM IN AGRICULTURAL AUTOMATION WITH INTERNET OF THINGS Yani Prabowo; Jan Everhard Riwurohi; Wiwin Windihastuti; Fuad Hasan
Journal of Computer Science Advancements Vol. 3 No. 2 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jsca.v3i2.2230

Abstract

This research focuses on the integration of LoRa (Long Range) communication system and remote control system in agricultural automation with Internet of Things (IoT) using ESP32 microcontroller, Arduino nano and STM32 aims to improve the efficiency of intelligent agricultural management. LoRa is used as a long-range wireless communication protocol to collect data from sensors that are widely distributed in agricultural land, such as soil moisture sensors, temperature. The ESP32 microcontroller functions as the main controller that processes data from sensors and sends it in real-time to the control center via the LoRa network. Modbus is used as a standard serial communication protocol to connect sensors, actuators and other devices, thus ensuring compatibility between devices. In addition, Node-RED is used as a graphical interface (GUI) to manage data flow, control automation processes, and provide real-time data visualization to users. The results of this research are a stable integration system between sensor systems and communication systems. The novelty of this research is the integration of LoRa, ESP32, Modbus, and Node-RED to create a reliable and efficient agricultural automation system, enabling remote management of irrigation, fertilization, and environmental monitoring, thereby increasing agricultural productivity and optimizing resource use.
Implementation and Analysis of Distributed Cache Architecture Between Virtual Machines in VMware to Reduce Memory Access Latency Jan Everhard Riwurohi; Muh. Syahrir; Muhammad Farid Muslich; Indra Nurman; A. Adriansyah
Golden Ratio of Data in Summary Vol. 6 No. 1 (2026): November - January
Publisher : Manunggal Halim Jaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52970/grdis.v6i1.1838

Abstract

Virtualization technology allows multiple virtual machines (VMs) to run on a single physical machine, improving efficiency and flexibility. However, virtualized systems often face performance problems such as high memory access latency and repeated data requests between VMs. To address this issue, this study implements a distributed caching system using Redis as an in-memory cache shared between virtual machines. The experiment was conducted on the VMware vSphere platform using two virtual machines: one VM acted as a Redis cache server, and the other as a client for testing. Both VMs were connected using a host-only network to ensure stable communication. Testing was performed in two scenarios: without cache and with Redis cache, each executed 10 times. The main metric measured was response time in seconds. The results show a clear performance improvement after using Redis. The average response time without cache was 0.0113 seconds, while with Redis cache it decreased to 0.00046 seconds. This indicates that Redis reduced memory access latency by approximately 97.6%. The system also remained stable during testing without any connection issues. In conclusion, implementing a distributed caching architecture using Redis effectively improves response time, reduces memory access latency, and enhances system performance in a VMware virtualized environment. This study can serve as a reference for developing more efficient and responsive virtualization systems in modern computing environments.
Analisis Komparatif Efisiensi Energi Dan Akurasi Arsitektur Neuromorphic Dan Von Neumann Pada Inferensi Edge AI Muhammad Baso Adrian Ibrahim; Farhani Ayu Amalina; Muhammad Faiz Burhanuddin; Ruth Hanseliani; Jan Everhard Riwurohi
Jurnal Pendidikan dan Teknologi Indonesia Vol 6 No 6 (2026): JPTI - Juni 2026
Publisher : CV Infinite Corporation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jpti.2136

Abstract

Permasalahan mendasar mengenai hubungan antara akurasi inferensi dan efisiensi energi pada perangkat Edge AI masih belum dijelaskan secara kuantitatif dalam literatur yang ada. Kebaruan penelitian ini terletak pada penggunaan spike sparsity sebagai parameter analitik kuantitatif untuk mengidentifikasi secara eksplisit kondisi ketika arsitektur Neuromorphic memberikan efisiensi energi yang lebih baik dibandingkan arsitektur Von Neumann.  Perkembangan pesat perangkat IoT dan komputasi edge mendorong kebutuhan mendesak akan inferensi AI yang sangat hemat energi. Arsitektur Von Neumann yang mendasari perangkat edge menghadapi hambatan struktural: setiap operasi perkalian-akumulasi (MAC) pada jaringan saraf tiruan dalam (DNN) mensyaratkan transfer data berulang antara memori dan prosesor, menghasilkan konsumsi energi yang tidak proporsional terhadap kapasitas perangkat. Jaringan Saraf Spiking (SNN) dengan neuron Leaky Integrate-and-Fire (LIF) menawarkan paradigma komputasi berbasis peristiwa yang secara biologis masuk akal, di mana operasi sinaptik hanya terjadi saat ambang batas potensial membran tercapai. Studi ini menyajikan analisis komparatif komprehensif antara DNN dan SNN menggunakan arsitektur LeNet-5 pada dataset MNIST dan Fashion-MNIST, diimplementasikan sepenuhnya melalui simulasi perangkat lunak berbasis Python, PyTorch, dan snntorch. Efisiensi energi diukur melalui dua pendekatan komplementer: model energi teoretis (4,6 pJ/MAC untuk DNN; 0,9 pJ/SOP untuk SNN) dan pengukuran empiris menggunakan CodeCarbon. Hasil menunjukkan SNN dengan langkah waktu T=16 mencapai akurasi 98,63% pada MNIST dengan estimasi energi 15,55 ?J per inferensi, menghasilkan efisiensi 1,10× dibandingkan DNN (17,11 ?J, akurasi 99,21%). Sparsitas spike rata-rata 71,0% memenuhi ambang efisiensi teoretis, dan analisis Pareto mengonfirmasi T=16 sebagai konfigurasi titik optimal trade-off akurasi–energi. Kontribusi utama penelitian ini meliputi kerangka evaluasi komparatif sumber terbuka yang dapat direplikasi tanpa perangkat keras neuromorfik khusus, serta validasi spike sparsity sebagai parameter kuantitatif untuk menjelaskan hubungan antara akurasi inferensi dan efisiensi energi pada SNN, yang didukung melalui analisis pengaruh langkah waktu dan validasi silang model energi teoretis terhadap benchmark perangkat keras fisik. Secara praktis, temuan ini mengimplikasikan bahwa SNN dengan konfigurasi T=16 layak diadopsi pada perangkat Edge AI berdaya terbatas yang membutuhkan keseimbangan antara akurasi inferensi dan efisiensi energi, tanpa memerlukan perangkat keras neuromorphic khusus.
PENINGKATAN KOMPETENSI GURU DAN MURID SMAI AN NUQTAH MELALUI PELATIHAN TEKNOLOGI INTERNET OF THING DAN PENERAPANNYA Sujono Sujono; Dion Setiawan; Jan Everhard Riwurohi; Angga Rizki Pratama; Adjie Nugroho; Fathan Nur Muhtadi
BANTENESE : JURNAL PENGABDIAN MASYARAKAT Vol. 8 No. 1 (2026): Bantenese: Jurnal Pengabdian Masyarakat
Publisher : Pusat Studi Sosial dan Pengabdian Masyarakat Fisipkum Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/vfrrz824

Abstract

Popularitas internet of thing (IoT) berkembang pesat melalui implementasi dalam berbagai bidang diantaranya monitoring dan pengendalian jarak jauh terhadap peralatan rumah tangga ataupun industri. Namun demikian, SMAI An Nuqthah belum mengakomodir IoT dalam proses pembelajaran dikarenakan ketiadaan sumberdaya pengajar yang kompeten dan modul pembelajaran yang memadai. Kegiatan pengabdian ini dilakukan melalui pelatihan dan pengadaan modul pembelajaran IoT dengan tujuan membuka wawasan dan pengetahuan guru dan siswa/i terhadap perkembangan IoT, meningkatkan ketrampilan dalam menerapkan IoT, dan melengkapi kompetensi siswa dalam bidang teknologi IoT. Pelatihan telah membuka wawasan dan pengetahuan guru dan siswa/i tentang IoT dan penerapannya. Pengadaan modul pembelajaran IoT memberi peluang bagi mitra untuk belajar secara mandiri dan mewujudkan keberlanjutan pengembangan kompetensi guru dan siswa/i.
RANCANG BANGUN SISTEM PENGENDALI SUHU BARREL PADA MESIN SINGLE SCREW EXTRUDER MENGGUNAKAN METODE PID BERBASIS ESP32 Yani Prabowo; Anwar Rifai; Jan Everhard
SKANIKA: Sistem Komputer dan Teknik Informatika Vol 9 No 2 (2026): Jurnal SKANIKA Juli 2026
Publisher : Universitas Budi Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36080/skanika.v9i2.3773

Abstract

Barrel temperature stability is a crucial factor in the polymer extrusion process, as temperature fluctuations directly affect melt viscosity and final product quality. This study designed a temperature control system for a single-screw extruder using an ESP32 microcontroller to compare the performance of the Proportional-Integral-Derivative (PID) method against a system without control (open loop). The research methodology involved testing various screw rotation speeds from 50 to 200 RPM to observe barrel temperature stability and melt homogeneity. The determination of the PID parameters in this study was based on the evaluation of the open-loop system's thermal response mapping, yielding optimal tuning values of Kp = 4.8, Ki = 0.09, and Kd = 55. The test results showed that the system without control experienced temperature fluctuations of ±8–12°C, while the PID controller successfully maintained temperature stability with a low deviation of ±1–3°C. Furthermore, the PID system was able to automatically compensate for temperature increases caused by material friction at high speeds. The implementation of PID control was proven to increase thermal stability by up to 80% compared to conventional systems. These results demonstrate that the use of PID algorithms on microcontrollers ensures a more precise and stable plastic extrusion process compared to traditional methods.
Performance and Efficiency Analysis of NTFS, exFAT, and EXT4 on SSD Using a Multi-Workload Approach Wahyudin Wahyudin; Agung Permana; Jan Everhard
Computer Journal Vol. 4 No. 2 (2026): August
Publisher : Yayasan Pendidikan Mitra Mandiri Aceh (YPMMA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58477/cj.v4i2.476

Abstract

The increasing adoption of Solid State Drives (SSDs) as primary storage media requires careful selection of file systems that can deliver optimal performance and efficiency. Although numerous studies have compared file system performance, most focus on only two file systems or employ limited testing scenarios. This study evaluated the performance and efficiency of NTFS, exFAT, and EXT4 file systems on SSD using a multi-workload benchmarking approach in an Ubuntu Server 22.04 environment running on Oracle VirtualBox. Testing was conducted across five workload scenarios: Sequential Read, Sequential Write, Random Read, Random Write, and Small File Management, with throughput, latency, IOPS, CPU utilization, and storage overhead as measured parameters. Each scenario was repeated three times and analyzed using descriptive statistics. Results indicated that exFAT tended to produce higher throughput on sequential workloads (544 MB/s on Sequential Read; 495 MB/s on Sequential Write), although differences with EXT4 were marginal. EXT4 showed clearer advantages on random workloads (44,700 IOPS on Random Read; 34,500 IOPS on Random Write) and achieved the fastest completion time of 101.2 seconds on Small File Management. exFAT recorded the lowest storage overhead (0.2%) and CPU utilization (4.6%). The study concluded that no single file system outperformed all others across every workload; therefore, file system selection should be aligned with the dominant workload characteristics of the target system.
Co-Authors A. Adriansyah Adelin, Adelin Adi Rizky Pratama Adjie Nugroho Ady Wisma Putra Wardana Agnes Aryasanti Agung Permana Agung Pramono Ajar Rohmanu Angga Rizki Pratama Anindya Putri Pradiptha Ansor, Mohamad Zakaria Antika Zahrotul Kamalia Antika Zahrotul Kamalia Anwar Rifai Ari Kusuma, Dyah Topan Arief Wibowo Arimaya Setyorini Arsanto Narendro Aryasanti, Agnes Ayu Ratna Juwita Bagus T Prabawa Bambang Suharjo Bima Cahya Putra Bonie Wijaya Daffa Putra David Jefri Aruan Dendi Sunardi Despiyan Dwi Budiarto Devit Setiono Dhamma Nagara Dian Anubhakti Diana Juwi Megatarini Dion Setiawan Eka Hartati Farhani Ayu Amalina Fathan Nur Muhtadi Fuad Hasan Hardjianto, Mardi Hari Soetanto Hassan, Shiza Hastomo, Mursid Dwi Hendarin Hendarin Hendra Effendi Hendry Gunawan, Hendry Hidayat Ramadhani I Ketut Sudaryana Ija Sudija Indra Indra Indra Nurman Intan Oka Herdanis Jeremy Jonathan Joko Christian K, Irvan K, Johanes H Kusumaningsih, Dewi Lalang Gumirang M. Anif Maria Veronica Maulana Malik Ibrahim Miftahudin Miftahudin Mohamad Ridwan Mohammad Syafrullah Muh. Syahrir Muhamad Masruin Masad Muhammad Baso Adrian Ibrahim Muhammad Fahrizal Muhammad Faiz Burhanuddin Muhammad Farid Muslich Muhrodi Namin Namin Namora Novia Dewi Nugraha Abdullah, Indra nurhanudin nurhanudin Oktora, Andre Painem Prasasti Alam, Raden Gesit Presdianto, Eko Pudoli, Ahmad Purwanto Purwanto Putri Hayati Raden Bagus Dhana Pradana Adi Ramadhan, Ferry Muhamad Ratna Kusumawardani, Ratna Reza Pahlevi Riyanto Riyanto Roeswidiah, Ririt Rohmanu, Ajar Rusdah Rusdah Ruth Hanseliani Samidi Samidi Samsinar Samsinar Setyo Arief Arachman Siswanto, Siswanto Sriyeni, Yesi Sucipto Basuki Sujono Sujono Sunu Ilham Pradika Suwasti Broto Tatang Wirawan Wisjhnuadji Tatang Wirawan Wisnuadji Tety Sapriani Tobias Duha Triana Anggraini Triana Anggraini Tutik Sri Susilowati Victor Akbar Wahyudin Wahyudin Wisjnuadji TW Wiwin Windihastuti Yani Prabowo Yulianawati Yusuf Hambali