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All Journal Sinkron : Jurnal dan Penelitian Teknik Informatika METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Jurnal Inotera Journal of Computer Networks, Architecture and High Performance Computing Brilliance: Research of Artificial Intelligence International Journal of Multidisciplinary Sciences and Arts SAINTI: Majalah Ilmiah Teknologi Industri Majalah Ilmiah METHODA Deli Sains Informatika JATAED: Journal of Appropriate Technology for Agriculture, Environment, and Development JURNAL PENGABDIAN PEMBANGUNAN PERTANIAN DAN LINGKUNGAN (JP3L) PERFECT: Journal of Smart Algorithms SULIWA: Jurnal Multidisiplin Teknik, Sains, Pendidikan dan Teknologi DCS: Jurnal Pengabdian Masyarakat Global Advances in Science, Engineering & Technology (GASET)
Candra, Rudi Arif
Politeknik Aceh Selatan, Indonesia
Agriculture, Biological Sciences & Forestry Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Public Health Social Sciences Other

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Power Efficiency Evaluation of Low-Cost IoT Repeater in Indoor Wireless Networks: Politeknik Aceh Selatan Campus Case Study Sipahutar, Erwinsyah; Hafizh, Alfi; Fauza , Rial; Candra, Rudi Arif
Global Advances in Science, Engineering & Technology (GASET) Vol. 1 No. 2 (2025): Global Advances in Science, Engineering & Technology (GASET), Article Research
Publisher : Politeknik Aceh Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62671/gaset.v1i2.252

Abstract

Low-cost Wi-Fi repeaters are increasingly deployed in smart campus environments to enhance indoor wireless coverage; however, their energy performance under realistic traffic conditions remains insufficiently quantified. This paper presents a comprehensive experimental evaluation of the power efficiency of an ESP8266-based IoT repeater operating in simultaneous Access Point and Station (AP+STA) mode over IEEE 802.11n (2.4 GHz). Unlike prior studies focusing primarily on protocol-level optimization or simulation-based relay models, this work provides hardware-level, real-time power characterization under controlled multi-client traffic scenarios. Experimental measurements demonstrate that average power consumption increases from 0.26 W (78 mA) in idle mode to 0.60 W (182 mA) with a single active client and up to 0.87 W (264 mA) under five-client high-load conditions. The maximum observed throughput reaches 18.4 Mbps, while energy per transmitted bit degrades from 0.032 µJ/bit to 0.047 µJ/bit as traffic intensity increases, revealing a measurable efficiency loss due to simultaneous packet reception and retransmission. A near-linear correlation (R² > 0.94) between traffic load and power consumption is identified, enabling the derivation of an empirical energy–performance model. The findings provide quantitative insight into the trade-off between coverage extension and energy demand in low-cost IoT repeaters. The proposed evaluation framework and empirical model support energy-aware deployment strategies for smart campus 
Pemanfaatan Aplikasi ChatGPT dalam Mendukung Dosen Menyusun Artikel Ilmiah di Politeknik Aceh Selatan Dirja Nur Ilham; Rudi Arif Candra; Devi Satria Saputra; Fardiansyah Fardiansyah; Ihsan Anwar; Asbahrul Amri; Sepri Kurniadi
JURNAL PENGABDIAN PEMBANGUNAN PERTANIAN DAN LINGKUNGAN (JP3L) Vol 3 No 2 (2026): JURNAL PENGABDIAN PEMBANGUNAN PERTANIAN DAN LINGKUNGAN (JP3L): Volume 3 Nomor 2,
Publisher : LEMBAGA KAJIAN PEMBANGUNAN PERTANIAN DAN LINGKUNGAN (LKPPL)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62671/jp3l.v3i2.100

Abstract

Perkembangan teknologi Artificial Intelligence (AI) telah memberikan dampak signifikan dalam dunia pendidikan, khususnya pada proses penulisan karya ilmiah. Salah satu teknologi yang banyak dimanfaatkan adalah ChatGPT, yaitu aplikasi berbasis AI yang mampu membantu pengguna dalam menghasilkan teks akademik secara cepat, sistematis, dan efisien. Penelitian ini bertujuan untuk menganalisis efektivitas pelatihan penggunaan ChatGPT dalam meningkatkan kemampuan dosen dalam menyusun artikel ilmiah di Politeknik Aceh Selatan. Metode penelitian yang digunakan adalah pendekatan deskriptif dengan pelaksanaan pelatihan selama dua hari yang meliputi penyampaian materi, demonstrasi, serta praktik langsung. Hasil pelatihan menunjukkan adanya peningkatan pemahaman peserta dalam menyusun struktur artikel ilmiah, menulis abstrak, serta mengembangkan ide penelitian. Selain itu, penggunaan ChatGPT juga terbukti mampu meningkatkan efisiensi waktu dalam proses penulisan artikel. Meskipun demikian, penggunaan AI tetap memerlukan pemahaman yang baik terkait etika akademik, termasuk validasi informasi dan pencegahan plagiarisme, agar kualitas dan integritas karya ilmiah tetap terjaga secara optimal.
TreeRTTSys: A Low Cost Sensor To Measure Tree Trunk Quality Using Strain Gauge Sensors Rudi Arif Candra; Dirja Nur Ilham; Arie Budiansyah
Brilliance: Research of Artificial Intelligence Vol. 5 No. 2 (2025): Brilliance: Research of Artificial Intelligence, Article Research November 2025
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v5i2.7324

Abstract

Tree health monitoring is essential to ensure environmental safety, sustainability, and the prevention of hazards caused by structurally weakened trees. Visual inspection alone is often insufficient to detect internal defects such as decay or reduced mechanical strength within tree trunks. This study presents the design and implementation of TreeRTTSys, a low-cost sensor-based system for evaluating tree trunk quality using strain gauge and load cell sensors integrated with an Arduino microcontroller. The proposed system aims to measure tensile force characteristics of tree trunks as an indicator of structural integrity and mechanical performance. The experimental method was employed by conducting tensile tests on five different types of tree trunks, namely Meranti, Beringin, Rambutan, Durian, and Kapok. A load cell sensor combined with an HX711 signal conditioning module was used to acquire force data, which were processed and recorded in real time by an Arduino-based data acquisition system. The applied tensile load and resistance duration were analyzed to evaluate the strength and deformation behavior of each wood type. The results show significant variation in tensile strength and load resistance among the tested tree species. Meranti wood exhibited the highest tensile strength of 11.13 kN and the longest resistance time of 151 seconds, indicating superior load-bearing capacity and stability. Rambutan wood demonstrated high ductility, sustaining tensile loading for 149 seconds despite a lower maximum force. In contrast, Kapok and Durian woods showed relatively low tensile resistance and shorter failure durations.These findings confirm that the proposed TreeRTTSys is capable of accurately capturing the mechanical behavior of tree trunks in real time. The system offers a reliable, cost-effective solution for tree health assessment, with potential applications in urban forestry management, environmental monitoring, and preventive safety inspections.
Design and Implementation of an IoT-Based Dust Exposure Monitoring System for Marble Cutting Activities in Campus Environment Candra, Rudi Arif; Ginting, Depi; Ilham, Dirja Nur; Budiansyah, Arie; Sipahutar, Erwinsyah
JATAED: Journal of Appropriate Technology for Agriculture, Environment, and Development Vol. 3 No. 2 (2026): JATAED: Journal of Appropriate Technology for Agriculture, Environment, and Dev
Publisher : LEMBAGA KAJIAN PEMBANGUNAN PERTANIAN DAN LINGKUNGAN (LKPPL)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62671/jataed.v3i2.104

Abstract

Marble cutting activities in campus workshop environments generate substantial concentrations of airborne particulate matter, particularly PM2.5 and PM10, which pose serious risks to occupational health and ambient air quality. This study presents the design, implementation, and experimental evaluation of a real-time IoT-based dust exposure monitoring system with emphasis on sensing performance, data reliability, and environmental analysis. The system employs a laser scattering dust sensor (PMS7003) integrated with an ESP8266 microcontroller for data acquisition and edge preprocessing, and utilizes Wi-Fi communication with the MQTT protocol for low-latency data transmission to a cloud-based monitoring platform. Sensor calibration was conducted using linear regression against a reference air quality monitor, resulting in improved measurement accuracy with a coefficient of determination (R²) of 0.96 for PM2.5 and 0.94 for PM10. The system operates with a 5-second sampling interval and applies a moving average filter (window size = 5) to reduce signal noise. Experimental deployment was carried out in a campus marble workshop over a 5-day observation period. Results indicate that during active cutting sessions, PM2.5 concentrations ranged from 85 to 210 µg/m³ and PM10 from 120 to 350 µg/m³, significantly exceeding WHO air quality guidelines (PM2.5: 15 µg/m³, PM10: 45 µg/m³, 24-hour mean). Peak concentrations were observed within the first 10 minutes of operation, followed by gradual dispersion depending on ventilation conditions. Network performance evaluation shows an average transmission latency of 1.8 seconds, packet delivery ratio of 97.2%, and system uptime of 99% over the testing period. Power consumption analysis indicates an average current draw of 82 mA, enabling efficient long-term deployment. The results confirm that the proposed system provides accurate, stable, and high-resolution monitoring of particulate pollution, supporting real-time decision-making for exposure mitigation and smart environmental management in campus settings.
Digital Smart Society: Edukasi Bijak Berteknologi Untuk Masyarakat Desa Ilham, Dirja Nur; Candra, Rudi Arif; Fardiansyah, Fardiansyah; Kurniadi, Sepri
JURNAL PENGABDIAN PEMBANGUNAN PERTANIAN DAN LINGKUNGAN (JP3L) Vol 3 No 2 (2026): JURNAL PENGABDIAN PEMBANGUNAN PERTANIAN DAN LINGKUNGAN (JP3L): Volume 3 Nomor 2,
Publisher : LEMBAGA KAJIAN PEMBANGUNAN PERTANIAN DAN LINGKUNGAN (LKPPL)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62671/jp3l.v3i2.102

Abstract

Perkembangan teknologi digital yang pesat telah membawa perubahan signifikan dalam kehidupan masyarakat, termasuk di wilayah pedesaan. Namun, rendahnya literasi digital menyebabkan masyarakat desa belum mampu memanfaatkan teknologi secara optimal dan bijak. Oleh karena itu, kegiatan pengabdian masyarakat ini dilakukan dengan tujuan meningkatkan pemahaman dan kesadaran masyarakat dalam menggunakan teknologi secara cerdas, aman, dan produktif. Realisasi kegiatan dilakukan melalui sosialisasi, pelatihan, dan pendampingan terkait penggunaan internet sehat, keamanan digital, serta pemanfaatan teknologi untuk kegiatan ekonomi. Kegiatan dilaksanakan secara langsung dengan melibatkan masyarakat desa sebagai peserta aktif. Hasil kegiatan menunjukkan adanya peningkatan pemahaman masyarakat terhadap risiko teknologi seperti hoaks dan penipuan online, serta meningkatnya kemampuan dalam memanfaatkan media digital untuk kegiatan produktif. Kesimpulan dari kegiatan ini adalah program Digital Smart Society efektif dalam meningkatkan literasi digital masyarakat desa serta mendorong terbentuknya perilaku bijak dalam penggunaan teknologi.
PERHITUNGAN EFISIENSI RECOVERY BOILER PADA PT TOBA PULP LESTARI, TBK Erwinsyah Sipahutar; William Sutanto; Rudi Arif Candra; Faisal Irsan Pasaribu
SAINTI: Majalah Ilmiah Teknologi Industri Vol. 19 No. 2 (2022)
Publisher : Politeknik ATI Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52759/

Abstract

PT Toba Pulp Lestari, Tbk merupakan salah satu perusahaan di Indonesia yang kegiatan utamanya adalah memproduksi pulp. Perusahaan ini menggunakan kayu eukaliptus sebagai bahan utama. Secara garis besar pembuatan pulp diawali dari proses digesting yaitu proses pemasakan chip dengan tambahan white liquor dan steam. Produk dari digesting didistribusikan ke washing and screening, selanjutnya O2 delignifikasi yang menghasilkan unbleached pulp. Pulp yang belum putih kemudian diputihkan pada proses bleaching sebanyak tiga tahap. Pulp yang sudah putih kemudian dipompakan dijadikan lembaran pulp pada proses pulp machine. Disamping itu, PT Toba Pulp Lestari, Tbk juga memiliki proses pendukung untuk memproduksi pulp tersebut, salah satunya yaitu recovery boiler. Recovery boiler memiliki dua fungsi yaitu fungsi utama sebagai penghasil steam dan fungsi sampingan menghasilkan green liquor hasil pemulihan dari proses pembakaran black liquor untuk diproduksi kembali menjadi white liquor sebagai cairan pemasak pada digester. Kondisi kinerja suatu peralatan dapat diukur berdasarkan efisiensi suatu peralatan tersebut. Dalam termodinamika, efisiensi termal adalah ukuran tanpa dimensi yang menunjukkan performa peralatan termal seperti mesin pembakaran dalam dan sebagainya. Panas yang masuk adalah energi yang didapatkan dari sumber energi.
Modeling Validation of Received Signal Strength Indicator (RSSI) Measurements Using ESP8266 Erwinsyah Sipahutar; Oktrison Oktrison; Alfi Hafizh; Rudi Arif Candra; Arie Budiansyah
International Journal of Multidisciplinary Sciences and Arts Vol. 5 No. 2 (2026): International Journal of Multidisciplinary Sciences and Arts, Article April 202
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/ijmdsa.v5i2.8076

Abstract

The rapid proliferation of indoor Internet of Things (IoT) systems has intensified the need for cost-effective and energy-efficient wireless coverage extension solutions. Conventional commercial WiFi repeaters are often over-provisioned in terms of hardware capability and power consumption, making them unsuitable for small-scale IoT laboratories and energy-constrained environments. Although microcontroller-based platforms such as the ESP32 have been widely used for IoT gateways, their systematic evaluation as Network Address Translation (NAT)-based WiFi repeaters remains limited. This paper presents the design, implementation, and experimental performance evaluation of a low-cost ESP32-based NAT WiFi repeater for indoor IoT networks. The proposed architecture operates in dual-mode (Station + Access Point) configuration using a single 2.4 GHz radio interface and software-based NAT forwarding. Hardware optimization, including Bluetooth deactivation and transmission power tuning, is applied to reduce energy overhead. Experimental measurements conducted in an indoor laboratory environment evaluate throughput, latency, received signal strength indicator (RSSI), and power consumption. Results indicate that the proposed system achieves 15–35 Mbps throughput under single-client conditions, with an average latency increase of 3–8 ms compared to direct router connections. The repeater improves signal strength by up to 18 dB in weak-coverage areas, extending effective indoor coverage by approximately 10–20 m. Measured power consumption remains below 1.2 W during active forwarding, significantly lower than typical commercial repeaters. The main contribution of this work lies in providing a quantified energy–performance characterization of a microcontroller-based NAT repeater.
Co-Authors . Zulfan Achriadi , T. Sukma Alfi Hafizh Alfy Ariswan Amri, Asbahrul Amsar Yunan Amsar, Amsar Ananda, Desnalita Andika, Putra Anugreni, Fera Anwar, Ihsan Arie Budiansyah Aritonang, Romulo P. Balkhaya, Balkhaya Bean, Hasbaini Budianyah, Arie Dewi, Irana Eka Dodi Suryanto Eri Satria Eri Satria Erwinsyah Sipahutar Erwinsyah Sipahutar Faisal Irsan Pasaribu Fardiansyah Adami Fardiansyah Fardiansyah Fardiansyah, Fardiansyah Fauza , Rial Fauzun Atabiq Ginting, Depi Hafizh, Alfi Hardisal, Hardisal Haristian Pratama Hasbaini, Hasbaini Herma Nugroho Rono Adi Kusumo Herry Setiawan Herry Setiawan Ihsan Ihsan Anwar Ihsan Ihsan Ihsan, M Arinal Ilham, Dirja Nur Irwansyah Irwansyah Irwansyah Syam Jamsan, Firdaus Jannah, Dina Miftahul Khairuman Man Khairuman, Khairuman Khusnul Azima Mario di Nardo Misbullah, Alim Miswar Papuangan Miza, Khairul Muhammad Farhan Muhammad Khoiruddin Harahap Muhammed Saat Talib N. Nazaruddin Nisa, Rahmatul Nizamuddin Nizamuddin Nursila Nursila Nursila, Nursila Nursita, Putri Oktrison Oktrison Oktrison Oktrison Oktrison, Oktrison Pratama, Ahya Rizki Putra, Reza Ade Rahmadani, Pia Rater, Salya Saputra, Devi Satria Sepri Kurniadi Sepri Kurniadi Shahrul Shahrul Sipahutar , Erwinsyah Siti Rusdiana sriwahyuni Sriwahyuni Sukma, Kemala Suryadi Suryadi Suryadi Talib, Muhammed Saat Taufiq Abdul Gani Urmila, Tasya Wahyu Ariansyah William Sutanto