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JTERA (Jurnal Teknologi Rekayasa)
Published by Politeknik Sukabumi
ISSN : 2548737X     EISSN : 25488678     DOI : -
Core Subject : Science, Engineering,
Civil Engineering, Building, Construction & Architecture Computer Science & IT Electrical & Electronics Engineering Industrial & Manufacturing Engineering Mechanical Engineering
TERA (Journal of Engineering Technology) is peer-review journal providing original research papers, case studies, and articles review in engineering technology field. The journal can be used as an authoritative source of scientific information for researchers, researcher academia or institution, industrial engineer, and government agencies. Paper topics of JTERA focused on engineering including informatics engineering, computer engineering, electrical engineering, mechanical engineering, industrial engineering, civil engineering, environmental engineering, and other topics related to engineering. JTERA is published by Politeknik Sukabumi and managed to be issued twice in every volume on June and December.
Arjuna Subject : -
Articles 531 Documents
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Sistem Peringatan Dini Banjir Berbasis Internet of Things (IoT) dengan Integrasi Multi-Sensor dan Logika Fuzzy Trisiani Dewi Hendrawati
JTERA (Jurnal Teknologi Rekayasa) Vol 10 No 2: December 2025
Publisher : Politeknik Sukabumi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31544/jtera.v10.i2.2025.131-140

Abstract

Penelitian ini mengembangkan sistem peringatan dini banjir berbasis Internet of Things (IoT) dengan integrasi multi-sensor dan metode logika fuzzy. Sistem dirancang menggunakan mikrokontroler ESP32 sebagai unit pemrosesan utama yang terhubung dengan beberapa sensor, yaitu Tipping Bucket untuk mengukur curah hujan, DHT22 untuk memantau suhu, YF-B1 untuk mendeteksi laju aliran air, serta JSN-SR04T sebagai sensor ultrasonik untuk mengukur ketinggian air. Data dari sensor dikirimkan secara real-time ke Google Spreadsheet sebagai media penyimpanan berbasis cloud, ditampilkan melalui OLED untuk pemantauan lokal, serta dikirimkan ke Bot Telegram sebagai notifikasi peringatan. Sistem ini juga dilengkapi buzzer sebagai alarm di lokasi. Hasil pengujian menunjukkan bahwa seluruh sensor memiliki tingkat akurasi tinggi dengan rata-rata error rendah: Tipping Bucket (0,60%), YF-B1 (3,36%), JSN-SR04T (2,10%), dan DHT22 (0,87%). Integrasi dengan logika fuzzy memungkinkan sistem melakukan analisis risiko banjir secara cepat dan tepat. Dengan performa yang andal, sistem ini berpotensi diterapkan dalam skala lebih luas untuk mendukung mitigasi bencana banjir secara efektif.
Penentuan Lokasi Rawan Kecelakaan Lalulintas (Black Spot) Berbasis Geometrik Jalan di Kabupaten Purbalingga Gunawan Wibisono; Gito Sugiyanto; Probo Hardini
JTERA (Jurnal Teknologi Rekayasa) Vol 11 No 1: Vol. 11 No. 1: Juni 2026
Publisher : Politeknik Sukabumi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31544/jtera.v11.i1.2026.1-10

Abstract

Angka kecelakaan lalu lintas di Indonesia sangat tinggi, mencapai 1.150.025 kecelakaan dengan korban meninggal dunia 27.329 orang pada tahun 2024. Upaya mengurangi jumlah kecelakaan yaitu dengan menentukan dan menangani daerah rawan kecelakaan lalu lintas (black-spot). Metode yang digunakan untuk menentukan lokasi rawan kecelakaan yaitu berdasarkan Angka Ekuivalen Kecelakaan (AEK)-Upper Control Limit (UCL). Kelemahan metode AEK-UCL yaitu lokasi rawan kecelakaan baru dapat ditentukan menunggu adanya data kecelakaan dan korban baik nyawa maupun harta benda. Untuk itu perlu dicari metode pendekatan baru dalam menentukan lokasi rawan kecelakaan tanpa harus menunggu kecelakaan dan korban. Tujuan penelitian untuk merumuskan model penentuan lokasi rawan kecelakaan lalu lintas berdasarkan fasilitas geometrik jalan. Setiap parameter geometrik jalan dibandingkan dengan nilai standar perencanaan geometrik jalan sesuai fungsi dan dilakukan pembobotan. Nilai total pembobotan dianalisis statistik untuk menentukan ruas jalan tersebut masuk kategori lokasi rawan kecelakaan atau tidak. Enam parameter geometrik jalan yang digunakan yaitu kecepatan kendaraan, lebar lajur jalan, lebar bahu jalan, lebar trotoar jalan, lebar median jalan, dan beda elevasi antara bahu dan tepi perkerasan jalan (drop-off). Lokasi rawan kecelakaan di Kabupaten Purbalingga meliputi ruas jalan Bayeman Tlahab Lor Karangreja, ruas jalan Majasari Bukateja, ruas jalan Bojongsari, ruas jalan Mayjend Sungkono Kalimanah Wetan, ruas jalan Gembong Bojongsari, ruas jalan Kejobong, ruas jalan Selanegara Kaligondang, ruas jalan Kebutuh Bukateja, ruas jalan Bojong Bukateja, dan ruas jalan Bojanegara Padamara. Terdapat perbedaan urutan peringkat lokasi rawan kecelakaan antara metode AEK-UCL dan metode pembobotan berdasarkan parameter geometrik jalan.
Implementasi Teknologi YOLOv8n dan IoT pada Alat Pengusir Hama Burung dengan Raspberry Pi Bertenaga Solar Panel Ivana Lucia Kharisma; Kamdan Kamdan; Gina Purnama Insany; Asep Rizki Firdaus; Dendi Nasrulloh
JTERA (Jurnal Teknologi Rekayasa) Vol 10 No 2: December 2025
Publisher : Politeknik Sukabumi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31544/jtera.v10.i2.2025.35-44

Abstract

Hama burung adalah salah satu tantangan serius yang dihadapi pada sektor pertanian. Metode tradisional yang dilakukan untuk mengatasi hama burung hanya memberikan solusi sementara dan juga mengakibatkan petani tidak dapat melakukan aktifitas lainnya, karena harus menjaga sawah secara terus menerus. Untuk optimalisasi serta untuk mengatasi permasalahan yang muncul pada perancangan alat sebelumnya yaitu kendala pada koneksi internet yang tidak stabil, sumber listrik yang terbatas serta permasalahan penyimpanan lokal pada alat , dibutuhkan integrasi antara konsep kecerdasan buatan (AI) dan Internet of Thing (IoT). Pengembangan alat menggunakan model deteksi objek versi YOLOv8nano, Raspberry Pi sebagai Single Board Computer dan penambahan solar panel . Pengujian yang dilakukan secara langsung menunjukkan bahwa fungsionalitas dan kinerja alat telah sesuai dengan yang diharapkan. Alat mampu mendeteksi objek burung dengan kinerja nilai rata-rata confidence score 74,64%, sedangkan pada pengujian solar panel menunjukkan hasil daya listrik yang mampu disimpan dalam durasi waktu 12 rata-rata sebesar 13,31 volt. Penambahan sebuah dashboard monitoring, bermanfaat untuk memberikan informasi kinerja alat.  Terpenuhinya semua proses pengujian menunjukkan bahwa alat pengusir burung ini memiliki potensi besar untuk memudahkan petani dalam mengatasi masalah hama burung secara lebih efektif, sehingga mengurangi ketergantungan pada metode tradisional.
Identifikasi Malware pada Jaringan Internet sebagai Tindakan Preventif untuk Ancaman Siber berbasis Deep Learning Husnawati Husnawati; Rian Rahmanda Putra; Faris Humam; Ica Admirani; Reza Maulana; M. Humam Fadholi; Bagus Ananta Hidayatullah; Abib Ardiansyah
JTERA (Jurnal Teknologi Rekayasa) Vol 11 No 1: Vol. 11 No. 1: Juni 2026
Publisher : Politeknik Sukabumi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31544/jtera.v11.i1.2026.77-86

Abstract

Keamanan jaringan merupakan aspek krusial bagi penyedia layanan internet (Internet Service Provider/ISP), terutama dalam menghadapi ancaman malware yang terus berkembang. Malware merupakan perangkat berbahaya yang dirancang untuk menyerang sistem operasi atau mengeksploitasi kerentanan sistem. Ancaman ini dapat menyebabkan pencurian data penting dan kerugian signifikan bagi pengguna. Salah satu perusahaan yang bergerak di bidang jaringan dan sebagai penyedia layanan internet yang digunakan pada instansi pemerintahan di Sumatera Selatan, menghadapi permasalahan untuk meminimalkan risiko serangan malware pada jaringan yang mereka kelola. Sehingga pada penelitian ini dilakukan penerapan metode deep learning dengan algoritma Convolutional Neural Network (CNN) untuk mengidentifikasi dan mengklasifikasikan lalu lintas jaringan yang terindikasi malware. Proses dilakukan melalui tahap pengumpulan dataset lalu lintas jaringan, pra-pemrosesan data, pelatihan model CNN, serta evaluasi kinerja model. Hasil pengujian menunjukkan bahwa metode CNN mampu mendeteksi serangan malware dengan tingkat akurasi sebesar 83%, precision 83%, dan recall 82%. Penerapan metode ini memberikan sistem deteksi yang cepat dan akurat, sehingga server dan client dapat lebih waspada terhadap ancaman siber dan terhindar dari pencurian data krusial.
Wind Turbine With Dynamic Optimal Power Flow Control For Improved Short Circuit Fault Ratio Ratih Puspita Siwi
JTERA (Jurnal Teknologi Rekayasa) Vol 11 No 1: Vol. 11 No. 1: Juni 2026
Publisher : Politeknik Sukabumi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31544/jtera.v11.i1.2026.93-100

Abstract

Turbin angin skala besar dimasukkan ke dalam jaringan, rasio hubung singkat menurun. Ini juga melemahkan kemampuan untuk mengatur tegangan, dan kesalahan yang mudah menyebabkan lebih banyak tegangan selama unit energi terbarukan dan kecelakaan off-grid. Sebuah metode konfigurasi sinkronisasi yang mempertimbangkan peningkatan rasio hubung singkat dipelajari untuk jaringan listrik dengan proporsi tenaga angin yang tinggi. Pertama, analisis dilakukan pada rasio hubung singkat beberapa stasiun energi terbarukan/rasio hubung singkat beberapa stasiun energi terbarukan (MRSCR), yang dapat menjelaskan interaksi antar lokasi. Kedua, kendala keamanan sistem digunakan untuk mengembangkan model kontrol aliran daya generator sinkron yang ideal berdasarkan topologi jaringan listrik. Selanjutnya, Algoritma Pengoptimalan Kawanan Kumbang/Pengoptimalan Serangan Kumbang (BSO) digunakan untuk menentukan MRSCR yang ideal. Ini menghasilkan pengaturan tegangan dan daya terbaik untuk generator sinkron. Terakhir, contoh analisis dilakukan pada jaringan listrik dengan tingkat tenaga angin proporsi tinggi untuk memastikan bahwa metode optimasi yang diusulkan dapat meningkatkan MRSCR turbin angin secara signifikan berdasarkan PSD-BPA.
Implementasi Sensor Tekanan untuk Sistem Deteksi Kebocoran pada Jaringan Pipa Distribusi Air Rahajeng Kurnianingtyas
JTERA (Jurnal Teknologi Rekayasa) Vol 10 No 2: December 2025
Publisher : Politeknik Sukabumi

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Leaks in water distribution networks are a major problem that causes increased water loss and decreased efficiency of clean water supply systems. This study aims to design and implement a pressure sensor-based pipe leak detection system integrated with the Internet of Things (IoT). The system uses two pressure sensors installed before and after the leak point. The ESP32 microcontroller is used for data processing and real-time data communication. Sensor calibration is carried out to ensure the accuracy of the measuring instrument through sensor testing before installation in the plant. The results of the leak test show that the system is able to detect pressure differences well at leak conditions of 30%, 50%, and 70%. The greater the leak level tested, the more significant the pressure difference between the two sensors. This system is capable of real-time pressure monitoring and offers potential applications in small and medium-sized plants. This research can be the basis for the development of an adaptive and efficient leak detection system to support sustainable water management.  
The Effect of The Bio-Inspired Airfoil NACA 4415 at High Reynolds Number Saphira Anggraita Siswanto; James Julian; Fitri Wahyuni; Riki Hendra Purba; Fathin Muhammad Madhudhu; Elvi Armadani
JTERA (Jurnal Teknologi Rekayasa) Vol 10 No 2: December 2025
Publisher : Politeknik Sukabumi

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The topic of airfoil modification and its impact on aerodynamic performance is a highly debated issue in aerospace engineering circles. This study examines the effect of the NACA 4415 bio-inspired nose airfoil on its aerodynamic performance by adding spinner dolphin and roughtoothed dolphin geometries to the leading edge using the Computational Fluid Dynamics (CFD) method at a Reynolds number of Re = 106. Simulations were conducted to analyze changes in the lift coefficient (Cl), drag coefficient (Cd), and moment coefficient (Cm), which serve as indicators of aerodynamic performance and stability. The results show that the baseline NACA 4415 airfoil produces the highest lift and the lowest drag overall, making it suitable for applications requiring maximum lift and minimum drag. Spinner dolphins has a smaller percentage increase in Cd, at 41.933%, compared to the baseline. In contrast, roughtoothed dolphins with an average percentage of 56.004% compared to the baseline exhibit a higher percentage increase in Cd. Conversely, in the Cl data, the percentage decreased in   dolphins has a larger average, namely -14.607%, compared to the baseline, whereas the spinner dolphin type only has an average of -8.713%. In the Cm data, the Roughtoothed Dolphin and Spinner Dolphin have higher and more stable Cm than NACA 4415. This study confirms that bio-inspired modifications can significantly impact aerodynamic performance, depending on operating conditions.
VoIP Jitter Buffers in Practice: A Performance Comparison Across Commercial Networks Murhaban Murhaban; Siti Aisah; Teuku Farizal; Suryadi Suryadi; Mukhlizar Mukhlizar; Muzakir Muzakir
JTERA (Jurnal Teknologi Rekayasa) Vol 10 No 2: December 2025
Publisher : Politeknik Sukabumi

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The proliferation of Voice over Internet Protocol (VoIP) has revolutionized modern communication, offering cost-effective, feature-rich alternatives to traditional telephony. However, the inherent packet-switched nature of VoIP introduces challenges in maintaining real-time voice quality, primarily due to jitter—variations in packet arrival timing—and subsequent packet loss. This study empirically investigates the effectiveness of Jitter Buffer (JB) algorithms in mitigating these issues across diverse commercial network environments. Using a rigorous pre-test/post-test design, we evaluated VoIP call quality by deactivating and then reactivating JB mechanisms on the FreePBX platform. Utilizing standardized metrics, including Mean Absolute Deviation (MAD) for jitter quantification and packet loss rate, and employing the G.711 codec with Linphone clients across three distinct commercial ISPs, we captured and analyzed performance under controlled conditions. Baseline measurements revealed significant jitter and packet loss variations across ISPs, with one ISP exhibiting particularly precarious transmission stability. Post-implementation, our findings demonstrate substantial improvements across all ISPs. Notably, packet loss was reduced to 0% across all packets, and MAD values decreased dramatically, indicating significantly enhanced temporal stability. These results, further translated through the Mean Opinion Score (MOS) framework, confirm JB's critical role in stabilizing VoIP transmissions, validating its efficacy as a generalizable solution for improving voice quality and user experience in practical, real-world network conditions, irrespective of underlying ISP infrastructure disparities.
Sentiment Analysis of Digital Korlantas Polri Apps Service Based on LSTM and SVM Methods Imanuel Soterius Prasetya Sunur; Anik Vega Vitianingsih; Achmad Muzakki; Anastasia Lidya Maukar; Seftin Fitri Ana Wati
JTERA (Jurnal Teknologi Rekayasa) Vol 11 No 1: Vol. 11 No. 1: Juni 2026
Publisher : Politeknik Sukabumi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31544/jtera.v11.i1.2026.11-18

Abstract

Advancements in digital technology have encouraged numerous innovations in public services, one of which is the Digital Korlantas Polri app. This application makes it easier for the public to access traffic services such as driver’s license issuance and renewal, vehicle data checking, and accident reporting. However, despite the convenience it offers, there are still various user reviews that point to technical issues and dissatisfaction with the quality of service. This study applies sentiment analysis to understand public perception of the Digital Korlantas app, providing a basis for improving its quality. The collection of the dataset was achieved by web scraping 2,000 user reviews from the Google Play Store spanning the period from December 2023 to March 2025. The phases of the research encompass gathering data, pre-processing text, assigning sentiment labels based on lexicons, applying TF-IDF for word weighting, and performing classification using the Long Short-Term Memory (LSTM) and Support Vector Machine (SVM) algorithms. The performance of the model was assessed through a confusion matrix, utilizing accuracy, precision, recall, and F1-score as evaluation metrics. The findings indicated that, out of 2,000 reviews, 1,402 were identified as positive, 538 were categorized as negative, and 60 were considered neutral. The SVM model demonstrated the highest performance, obtaining an accuracy of 96.8%, a precision of 65.6%, a recall of 50.0%, and an F1-score of 55.0%. At the same time, the LSTM model attained an accuracy of 94.5%, with a precision of 31.5%, a recall of 33.3%, and an F1-score of 32.4%. These results show that SVM is superior at handling high-dimensional data, while LSTM remains effective at capturing long-term context patterns in review texts.
Effect of Electrode Material on Surface Roughness and Hardness of Jaw Implants Yani Kurniawan; Nurdiana Mulyadi; Bambang Sulaksono
JTERA (Jurnal Teknologi Rekayasa) Vol 11 No 1: Vol. 11 No. 1: Juni 2026
Publisher : Politeknik Sukabumi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31544/jtera.v11.i1.2026.25-30

Abstract

Long processing time and decreased material hardness are the main problems in developing jaw implants using the EDM die-sinking method. Therefore, research is needed to speed up the process and minimize the decrease in hardness of jaw implant materials made using EDM die-sinking. This study aims to investigate the right type of electrode material to speed up the process time and minimize the decrease in hardness of jaw implant materials made using EDM die-sinking. The effect of electrode material in the manufacture of jaw implants was also investigated. The manufacture of jaw implants used copper, tungsten, brass, and high-speed steel (HSS) electrode materials. Pulse current and pulse on time used 6 A and 22 μs, respectively. The results showed that the surface roughness and decrease in hardness of jaw implant materials were influenced by the thermal conductivity of the electrode material. The best electrode material in the manufacture of jaw implants using EDM die-sinking is copper. The manufacturing process of jaw implants with copper material was approximately 7.5 hours. The surface roughness and hardness of jaw implants were approximately 1.97 μm and 150 HV, respectively.

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