E-Journal Politeknik Negeri Cilacap
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Analisis Karakteristik Torsi Dan Kecepatan Pada Motor Servo AC Dengan Eksitasi Medan Permanen Menggunakan Metode Field-Oriented Control (FOC)
Full text linkPenelitian ini menganalisis karakteristik torsi dan kecepatan pada motor servo AC dengan eksitasi medan permanen (PMSM) menggunakan kontrol Field-Oriented Control (FOC) berbasis Space Vector PWM (SVPWM). Tujuannya adalah mengevaluasi respons sistem terhadap variasi kecepatan (1000–4000 RPM) dan beban (0,1–0,3 Nm). Simulasi dilakukan di MATLAB/Simulink, sedangkan validasi eksperimen menggunakan trainer Lucas-Nuelle 300 W. Hasil menunjukkan sistem mampu mencapai kecepatan referensi tanpa overshoot, waktu naik 0,5–1,2 detik, dan error tunak mendekati nol. Arus Id terkendali ≈0, sesuai strategi Maximum Torque per Ampere (MTPA), sementara Iq meningkat proporsional terhadap torsi. Respons torsi transien muncul selama akselerasi dan stabil setelah mencapai kecepatan target. Pada pengujian beban, kecepatan aktual tetap konstan di 2000 RPM dengan torsi steady-state sesuai nilai beban. Arus tiga fasa yang dihasilkan berbentuk sinusoidal dan seimbang, mencerminkan kualitas kontrol inverter dan efektivitas SVPWM. Keselarasan hasil simulasi dan eksperimen membuktikan validitas model serta keandalan sistem kontrol. Penelitian ini mendukung optimalisasi kontrol motor presisi berbasis FOC dan SVPWM
Sentiment Analysis Model for VTuber Live Stream Chat using Decision Tree and Support Vector Machine
No full textVirtual YouTuber (VTuber) has a feature that allows fan and viewer interaction through live streaming chat that contains textual data based on emotions and opinions. The previous study examined sentiment analysis in various domains. However, live-streaming chat has short, informal, and unstructured text characteristics, making it challenging to analyze its sentiment. Decision Trees (DT) have advantages in interpretability and training speed, while Support Vector Machines (SVM) can handle high-dimensional data and avoid overfitting. Still, few studies examine DT and SVM in live streaming chat. This study aims to propose a sentiment analysis model in VTuber live streaming chat by comparing the performance of DT and SVM. VTuber Lives streaming chat was collected and preprocessed through cleaning, expansion-contraction, case folding, tokenization, stopword removal, and lemmatization. VADER and AFINN Lexicon labeled positive, neutral, or negative sentiments. Later, TF-IDF is used for feature extraction, and K-Fold cross-validation is used to evaluate the sentiment analysis model based on DT and SVM. A confusion matrix measures the model’s performance by knowing the accuracy, precision, recall, and F1 score values. The results of 10-fold cross-validation show that the proposed model with a combination of DT+AFINN with hyperparameter optimization achieves an accuracy of 96.26%. The combination of DT+AFINN shows its superiority in sentiment analysis of VTuber live chat data compared to DT+VADER, SVM+AFINN, and SVM+VADER
Comparative Study of PID Control and Self-Tuning Neural Network Adaptive Control on an Octarotor for Motion Optimization
Full text linkThis study aims to compare the performance between a PID cascade controller and a self-tuning Neural Network adaptive control (PID NN) in controlling an ROV on an octarotor platform with 6 degrees of freedom (DOF), namely Surge, Sway, Heave, Roll, Pitch, and Yaw. The conventional PID control system is used as a proven baseline, while the Neural Network-based adaptive control is applied to adjust parameters in real-time, expected to address the nonlinearity and external disturbances that are difficult to handle by static PID. This study involves an analysis of overshoot, rise time, settling time, and final position for each channel, as well as a comparison of the performance of the two control methods. The results show that PID NN provides faster rise times and lower overshoot in most channels, such as Surge overshoot of 8.3%, rise time of 6.2 seconds, and Sway overshoot of 2.1%, settling time of 90 seconds, compared to PID, which has higher overshoot and longer stabilization times. However, for the Yaw and Heave channels, although PID NN showed larger overshoot and longer settling time, PID was faster in achieving stability. Overall, although PID NN demonstrated superiority in terms of rapid stabilization for Roll and Pitch, further adjustments are needed to optimize Yaw and Heave to achieve faster stabilization without compromising system stability and overall control performance. This study opens opportunities for further development in the field of adaptive control for high-complexity multirotor systems
Penetration Testing Through NIST SP 800-115 and OWASP TOP 10 With Risk Analysis Using CVSS on the XY Diskominfo Website
Full text linkCurrently, websites are widely used in various fields, including government. However, government websites are often the target of hacking. The XY Regency Communication and Information Agency experienced a website breach in 2023, which affected one of its subdomains, e-office.xy-regency.go.id, which stored employee data. This hack resulted in the leakage of sensitive data, user account takeovers, service disruptions, and a decline in public trust. The purpose of this study was to identify and test the vulnerabilities of the e-office.xy-regency.go.id website using the NIST SP 800-115 method, which includes the planning, discovery, attack, and reporting phases. Vulnerabilities were classified using the Common Vulnerability Scoring System (CVSS) and the OWASP Top 10 standard. This study identified two high-level vulnerabilities, namely Cross-Site Scripting (XSS) with a CVSS score of 8.2, classified as High severity, and Cross-Site Request Forgery (CSRF) with a CVSS score of 9.3, classified as Critical severity. These vulnerabilities could allow hackers to execute malicious scripts and manipulate users without their knowledge. Recommendations include implementing input validation on text boxes by limiting characters to letters or combinations of letters and numbers, and ensuring that all forms and endpoints that handle sensitive data are protected with unique and unpredictable CSRF tokens. Future research should focus on analyzing domain vulnerabilities, identifying the origin and potential of attacks, and developing effective protection and recovery strategies
Peran Nano Biokarbon Aktif Dari Kulit Pinang Terhadap Karakteristik Pembakaran Droplet Minyak Biji Bunga Matahari
Full text linkContinuous exploitation of fossil fuels causes scarcity, so appropriate solutions and policies are needed. One of these solutions is to utilize vegetable oil, and one of them comes from sunflower seed oil, which contains 17% oleic fatty acid and around 73% linoleic. However, its high viscosity, making it difficult to burn, hampers its use as an alternative fuel. Therefore, efforts are made to reduce its viscosity. One of these efforts is to add a catalyst in the form of active nano bio carbons derived from areca nut skin. Droplet combustion is chosen to increase the contact area between air and fuel so that the reactivity of fuel molecules increases. The study\u27s results showed that the quality of fuel produced from a mixture of sunflower seed oil and active nano biocarbon from areca nut skin was improved. It was found that a concentration of 1 ppm was the best compared to other concentrations (2 and 3 ppm). It can be seen that it was able to reduce the viscosity of sunflower seed oil to 11.16 cSt, reduce the flash point at 138°C, and can increase the droplet combustion rate by around 2.05 seconds.
 
Pengaruh Variasi Kampuh Las dan Arus Listrik Terhadap Kekuatan Sambungan Las (Metal Inert Gas) MIG Pada Aluminium AA6063
Full text linkAluminium has beneficial characteristics such as corrosion resistance, heat conductivity, electrical conductivity, and lightweight. However, when looking at steel materials, aluminum has unfavorable welding properties. The selection of welding amperage and additives compatible with the parent metal can influence welding joints. The purpose of this study was to determine the effect of the strength of MIG welding joints of AA6063 aluminum alloy on the variation of groove welding with electric current. The test data shows a value equal to 1. The highest tensile test value using X camphor at an electric current of 150 amperes is 14.05 kg/mm², and the lowest tensile stress value with K camphor at a current of 155 amperes is 6.75 kg/mm². 2. The test results of the highest hardness value with the V shank at a current of 160 amperes, namely 87.09 HRB in the weld metal area, then the HAZ area decreased in hardness value, namely 76.33 HRB, and the parent metal area increased again in value, namely 78.80 HRB and 3. These results show that welding with an X shank is better than a V shank and a K shank based on the electric current in the test results.
 
Perhitungan Dan Pengelolaan Limbah Oli Bengkel Motor Tidak Resmi di Samarinda Utara
Full text linkPesatnya pertumbuhan kendaraan bermotor di Kota Samarinda turut meningkatkan jumlah bengkel motor, termasuk bengkel tidak resmi. Penelitian ini bertujuan untuk mengidentifikasi jenis dan volume limbah yang dihasilkan oleh bengkel motor tidak resmi, menyusun metode perhitungan dan pengolahan limbah yang ramah lingkungan, serta menganalisis dampak lingkungan akibat limbah yang tidak terkelola. Metode penelitian yang digunakan adalah deskriptif kuantitatif melalui observasi langsung di beberapa bengkel motor tidak resmi di Samarinda, dengan data primer diperoleh melalui pengukuran volume oli bekas dan pencatatan frekuensi penggantian oli harian. Hasil penelitian menunjukkan bahwa Bengkel 1 menghasilkan 200 liter oli bekas per bulan dengan 189 liter tertampung dan 11 liter tercecer; Bengkel 2 menghasilkan 100 liter, hanya 30 liter tertampung, 6 liter tercecer, dan 64 liter tidak tercatat; sedangkan Bengkel 3 menghasilkan 200 liter dengan 188 liter tertampung dan 12 liter tercecer. Penelitian menyimpulkan bahwa limbah oli bekas merupakan jenis limbah B3 yang dominan dihasilkan oleh bengkel motor tidak resmi di Samarinda, dengan pengelolaan yang masih belum optimal karena sebagian limbah tercecer ke lingkungan atau tidak tercatat dengan baik.
Kata kunci: Bengkel tidak resmi, limbah oli bekas, limbah B3, pengelolaan limbah, pencemaran lingkungan
Penerapan Literasi Digital dan Pemasaran Produk Berbasis Teknologi di Desa Banjarwaru
No full textBanjarwaru Village faces marketing challenges for bamboo weaving products due to the limited local market and lack of coordination. The proposed solution is the establishment of a village coordination unit for business and marketing integration, as well as digital literacy training for artisans. The methods include market needs analysis, selection of application managers, coordination of product photography, and intensive training on digital marketing and e-commerce. As a result, artisans can optimize digital technology, expand market reach, and enhance product competitiveness. This program is capable of increasing artisans\u27 knowledge and skills, as well as supporting the economic growth of Banjarwaru Village through online marketing and e-commerc
Peningkatan Kapasitas Aparatur Pengelola Keuangan Kecamatan Melalui Pendampingan SIPD RI
Full text linkThis community service (PkM) activity aims to improve the capacity and skills of village and sub-district financial management officials in utilizing the Regional Government Information System of the Republic of Indonesia (SIPD RI), assisting them in understanding the flow and mechanisms of using the Regional Financial Information System (SIKD), and supporting the smooth running of financial management at the village and sub-district levels. The methods used in implementing the PkM activities include presentations, simulations, and mentoring. The target audience for this activity is financial management officials at the village and sub-district level, including sub-district heads, village heads, sub-district secretaries, village secretaries, section heads, sub-district treasurers, village treasurers, and the financial management implementation team. The PkM activities were implemented through presentations on SIPD RI and the regional financial accounting cycle, simulations of SIKD use, and mentoring on regional accounting and financial reporting practices. The results of the activity demonstrated that participants gained a better understanding of the functions, flow, and mechanisms of using SIPD RI and SIKD, and were able to directly apply these skills to financial management tasks within their respective work areas. This Community Service Program not only provided increased technical knowledge and skills but also encouraged the realization of more transparent, accountable, and effective regional financial governance at the village and sub-district levels
Performance Evaluation of A Three-Modality Biometric System using Multinomial Regression
Full text linkIn this article, we explored key concepts related to technology and system efficiency. We have created an innovative biometric system that combines three modalities: fingerprint, facial recognition and voice recognition. This approach guarantees enhanced security and a seamless user experience for access control. We tested our application to obtain the false rejection rate and the false acceptance rate, which gave us the confusion matrix. We then used the multinomial regression method to obtain the various parameter values, which are: FN=0.124, VPP=0.88, Sp=0.88, VPN=0.87, Se=0.87 and F-measure = 0.87 for voice recognition, FN=0.104, VPP=0.90, Sp=0.90, VPN=0.89, Se=0.89 and F-measure = 0.89 for face recognition, FN=0.08, VPP=0. 92, Sp=0.92, VPN=0.91, Se=0.91 and F-measure = 0.91 for fingerprints and FN=0.004, VPP=0.99, Sp=0.99, VPN=0.99, Se=0.99 and F-measure = 0.99 for the global system resulting from the fusion of these three modalities. From this result, we can say that using the global fusion of these three modalities, our system is very efficient compared to separate systems which give an advantage to the fingerprint recognition system followed by facial recognition and finally voice recognition. We recommend further studies to evaluate the performance of our system in real scenarios, using methods such as multinomial regression. This work paves the way for significant advances in the field of biometric systems and methods such as multinomial regression. We hope that these results will inspire further research and practical applications for a connected and secure world