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"Penelitian ini mengembangkan sistem pendeteksi kebohongan berbasis kecerdasan buatan Machine learning untuk membantu petugas Imigrasi dalam mengevaluasi wawancara permohonan paspor warga negara Indonesia dengan pendekatan yang lebih sistematis melalui penggunaan teknologi computer vision guna menganalisis fitur-fitur yang ditampilkan oleh wajah manusia. Set data penelitian menggunakan 32 video wawancara (23 honest, 9 lie) yang diaugmentasi menjadi 41 video untuk mengatasi ketidakseimbangan kelas. Sistem menggunakan dlib dan OpenCV untuk mendeteksi 68 facial landmarks, mengekstrak tiga parameter perilaku wajah, yakni : bagian mata, bagian alis, dan bagian bibir. Analisis statistik comprehensive menghasilkan 66 fitur diskriminatif per video. Model CNN, CNN-LSTM, dan ANN dikembangkan untuk diujicobakan dalam penelitian ini. Model dilatih dengan 5 K-fold cross-validation sebanyak tiga kali dengan hasil evaluasi menunjukkan ANN mencapai test accuracy terbaik yaitu 74.4%, precision 79.3%, recall 74.4%, dan F1-score 73.4%. Analisis feature importance mengidentifikasi Mouth Asymmetry Std sebagai parameter paling diskriminatif dengan nilai sebesar 0.4114. Sistem kemudian diimplementasikan dalam web application dengan processing time sekitar lima menit per video, menyediakan confidence score dan final decision untuk analisis petugas. Kontribusi penelitian meliputi multi-feature facial analysis dan end-to-end system serta saran pengembangannya untuk aplikasi praktis wawancara paspor di kantor Imigrasi Indonesia yang diharapkan dapat menjadi solusi inovatif dalam mendukung pengambilan keputusan di instansi Imigrasi dan meningkatkan kualitas layanan publik terkait.

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This research develops an artificial intelligence-based lie detection system using machine learning to assist Immigration officers in evaluating passport application interviews for Indonesian citizens through a more systematic approach utilizing computer vision technology to analyze features displayed by human faces. The research dataset uses 32 interview videos (23 honest, 9 lie) which were augmented to 41 videos to address class imbalance. The system employs dlib and OpenCV for detecting 68 facial landmarks, extracting three facial behavioral parameters: eye region, eyebrow region, and lip region. Comprehensive statistical analysis yields 66 discriminative features per video. CNN, CNN-LSTM, and ANN models were developed and tested in this research. Models were trained using 5 K-fold cross-validation performed three times, with evaluation results showing that ANN achieved the best test accuracy of 74.4%, precision of 79.3%, recall of 74.4%, and F1-score of 73.4%. Feature importance analysis identified Mouth Asymmetry Standard Deviation as the most discriminative parameter with a value of 0.4114. The system was then implemented as a web application with a processing time of approximately five minutes per video, providing confidence scores and final decisions for officer analysis. Research contributions include multi-feature facial analysis and end-to-end system development, along with recommendations for practical implementation in passport interview applications at Indonesian Immigration offices, which is expected to serve as an innovative solution in supporting decision-making at Immigration agencies and improving related public service quality."

"Kadmium merupakan logam berat yang umum ditemukan di lingkungan, seperti air, pangan, dan tanah. Karena bersifat sangat toksik, pencemaran kadmium perlu mendapat perhatian khusus. Salah satu metode deteksi logam berat adalah kolorimetri berbasis nanopartikel emas (AuNPs), yang memanfaatkan perubahan warna kuat akibat agregasi partikel melalui resonansi plasmon permukaan. Emas memiliki afinitas tinggi terhadap atom S untuk membentuk ikatan Au–S, sementara Cd²⁺ dapat berikatan dengan gugus –NH₂ pada 2-amino-5-(methylthio)-1,3,4-thiadiazole (AMTTD), konjugat yang digunakan dalam penelitian ini. AMTTD diharapkan dapat menstabilkan AuNPs serta memicu agregasi saat berinteraksi dengan ion target Cd²⁺. Penelitian ini bertujuan menentukan kondisi optimum untuk deteksi kolorimetri ion kadmium menggunakan AuNPs yang dikonjugasikan dengan AMTTD. Kondisi optimum diperoleh pada volume AuNPs 700 μL dalam dapar fosfat pH 7, konsentrasi AMTTD 500 μM, waktu reaksi 45 menit, penambahan NaCl 40 mM, dan waktu inkubasi 25 menit, menghasilkan pergeseran panjang gelombang hingga 537 nm. Namun, pergeseran tersebut serta perubahan warna dari merah muda menjadi sedikit ungu belum menunjukkan hasil deteksi yang signifikan.

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Cadmium is a heavy metal commonly found in the environment, including in water, food, and soil. Due to its high toxicity, cadmium contamination requires special attention. One method for detecting heavy metals is colorimetry using gold nanoparticles (AuNPs), which exhibit strong color changes upon aggregation, a phenomenon known as surface plasmon resonance. Gold has a high affinity for sulfur atoms to form Au–S bonds, while Cd²⁺ can bind to the –NH₂ group of 2-amino-5- (methylthio)-1,3,4-thiadiazole (AMTTD), the conjugate used in this study. AMTTD is expected to stabilize AuNPs and promote their aggregation upon interaction with the target ion, Cd²⁺. This study aims to determine the optimal conditions for cadmium ion detection via colorimetry using AMTTD-conjugated AuNPs. The optimal conditions were obtained using 700 μL of AuNPs in phosphate buffer pH 7, AMTTD concentration of 500 μM, a reaction time of 45 minutes, 40 mM NaCl addition, and 25 minutes of incubation, resulting in a wavelength shift to 537 nm. However, the wavelength shift and the color change from pink to slightly purple did not indicate significant detection results."

"Penentuan spektrum sinar X perlu dilakukan untuk mengetahui kualitas radiasi yang keluar dari tabung sinar X, selain karakteristik detektor yang digunakan untuk pengukuran yang harus diketahui untuk mencegah terjadinya kesalahan penafsiran spektrum hasil pengukuran. Penelitian ini menggunakan pesawat sinar X YXLON YTU ? 320 D303 dan menggunakan detektor XR ? 100 ? CdTe serta software XCOMP5R. model pesawat ini diletakkan pada jarak 100 cm dari detektor, dengan ketebalan detektor CdTe sebesar 1 mm dan berjari ? jari sebesar 0.15 mm. Penelitian juga mencari hubungan spektrum sinar X dengan XCOMP5R untuk mencari karakteristik detektor CdTe dengan mengasumsikan spektrum XCOMP5R sebagai spectrum ideal, dari spektrum sinar X pengukuran dapat diketahui karakteristik dari detektor CdTe tersebut. Karakteristik detektor yang muncul pada saat pengukuran adalah energy K edge dan sinar X karakteristik Cd dan Te yaitu Cd nilai K edge 26.704 keV, ka1 22.982 keV, ka2 23.172 keV, kb1 26.093 keV, kb2 26.641 keV. Te nilai K edge 31.800 keV, Ka1 27.200 keV, Ka2 27.471 keV, Kb1 30.993 keV, Kb2 31.698 keV. Sebelum melakukan pengukuran spektrum, kita harus mengetahui karakter detektor untuk mencegah terjadinya penafsiran data.

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Determination of the X-ray spectrum is important to know the quality of the radiation of the X-ray tubes, in the other hand it is important to characterize the detector used for measurement to prevent misinterpretation of the spectrum from measurement results. The study use X-ray tube YXLON YTU - 320 D303 and using the detector XR ? 100 ? CdTe and XCOMP5R software. X-ray tube model is placed at a distance of 100 cm from the detector, CdTe detector with a thickness of 1 mm and the fingers of 0.15 mm. the studies also aim spectrum and also to characterize it to find relation between XCOMP5R X-ray spectrum and CdTe detector by assuming the spectrum XCOMP5R as an ideal spectrum. Detector characterize that appears at measurement is the energy of K edge and X-ray characteristics of Cd and Te. The value of Cd, K edge is 26.704 keV, Ka1 is 22.982 keV, Ka2 is 23.172 keV, Kb1 is 26.093 keV, Kb2 is 26.641 keV. Values of Te, K edge is 31.008 keV, Ka1 is 27.200 keV. Ka2 is 27.471 keV, Kb1 is 30.993 keV, Kb2 is 31.698 keV. Before using detector for measurements, we must know the characteristics of detector it is important that."

"This comprehensive new book deals with motion estimation for autonomous systems from a biological, algorithmic and digital perspective. An algorithm, which is based on the optical flow constraint equation, is described in detail. This algorithm fits with the motion processing model, hardware and software constraints and resolves depth-velocity ambiguity, which is critical for autonomous navigation. There is also extensive coverage on the use of this algorithm in digital hardware and describes both the initial motion processing model, the chosen hardware platforms, and the global function of the system."

"Sintesis nanopartikel Ni OH 2 Ni OH 2NP telah berhasil dilakukan menggunakan metode pengendapan kompleks dengan keadaan hidrotermal. Ni OH 2NP dikarakterisasi menggunakan Spektrofotometer UV-Visible, Fourier Transform InfraRed FTIR , X-Ray Diffraction XRD , dan Transmission Electron Microscopy TEM . Metode Anodic Stripping Voltammetry ASV menggunakan elektroda Boron-doped Diamond BDD digunakan untuk penentuan konsentrasi Ni OH 2NP secara elektrokimia. Kondisi optimum yang diperoleh dari hasil penelitian ini adalah potensial deposisi -600 mV, waktu deposisi 90 sekon, scanrate 100 mV/s pada larutan HClO4 pH 1. Kurva kalibrasi menunjukkan bahwa ASV Na OH 2NP linier pada rentang konsenstrasi 5-25 ?M dengan limit deteksi LOD 0,481 ?M. Ni OH 2NP kemudian dikonjugasikan dengan antibodi melamin yang telah dipurifikasi Ni OH 2NP-Ab dan dikarakterisasi dengan spektrofotometer UV-Visible, FTIR, zeta potensial, dan TEM. Ni OH 2NP-Ab kemudian digunakan sebagai pengenal dalam strip test immunokromatografi untuk mendeteksi melamin dengan asumsi konsentrasi melamin berbanding lurus dengan Ni OH 2NP-Ab. Pengujian strip test immunokromatografi sebagai perangkat sensor untuk deteksi melamin secara kuantitatif dilakukan dengan metode ASV menggunakan elektroda BDD dengan kondisi seperti pada pengujian Ni OH 2NP. Strip test yang difabrikasi berhasil mendeteksi melamin secara linier R2 = 0,9605 pada rentang konsentrasi 25 ndash; 250 ppm dengan LOD 53,90 ppm.

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The synthesis of Ni OH 2 nanoparticles Ni OH 2NPs has been successfully performed using hydrothermal complexation precipitation method. Ni OH 2NPs were characterized by UV Visible Spectrophotometer, Fourier Transform InfraRed FTIR , X Ray Diffraction XRD , and Transmission Electron Microscopy TEM . Anodic Stripping Voltammetry ASV method at Boron doped Diamond BDD electrode was employed to determine the concentration of Ni OH 2NPs electrochemically. The optimum electrochemical conditions were obtained at the deposition potential of 600 mV, the deposition time of 90 seconds with a scanrate of 100 mV s in HClO4 pH 1 solution. Linear calibration curve showed that the ASV of Ni OH 2NP was linear in the concentration range of 5 25 M with limit of detection LOD of 0.481 M. The Ni OH 2NPs was then conjugated with purified melamine antibodies Ni OH 2NPs Ab and characterized by UV Visible spectrophotometers, FTIR, zeta potential, and TEM. The Ni OH 2NPs Ab was employed as the sensing in immunochromatographic strip test for the detection of melamine with assumption that the melamine concentration will be proportional with Ni OH 2NPs. The quantitative determination was determined by using the ASV method with BDD, which was previously optimized. The strip test can succesfully detect melamine linearly R2 0.9605 in the concentration range of 25 ndash 250 ppm with LOD of 53.90 ppm."

"Jahe merah telah lama dimanfaatkan sebagai salah satu obat tradisional untuk mengurangi peradangan atau inflamasi. Namun, herbal rimpang seperti jahe merah dilaporkan mengandung cemaran mikroorganisme yang relatif tinggi. Sehingga diperlukan metode sterilisasi untuk mendekontaminasi cemaran mikroorganisme tersebut. Iradiasi gamma sering menjadi pilihan untuk dekontaminasi, tetapi belum diketahui dosis yang efektif membunuh mikroorganisme dan tidak mempengaruhi kadar senyawa bioaktif serta aktivitas biologis jahe merah. Penelitian ini bertujuan mengevaluasi pengaruh iradiasi gamma terhadap cemaran mikroorganisme, kadar senyawa 6-gingerol, 8-gingerol,10-gingerol, dan 6-shogaol serta aktivitas antiinflamasi ekstrak etanol 70% jahe merah. Serbuk rimpang jahe merah terlebih dahulu diekstraksi dengan metode maserasi menggunakan etanol 70% 1:5. Ekstrak jahe merah kemudian diiradiasi dengan dosis 0, 5, 7,5, 10, dan 15 kGy. Evaluasi cemaran mikroba angka lempeng total dan angka kapang khamir dilakukan dengan metode tuang. Evaluasi kadar bioaktif dianalisis dengan metode Kromatografi Cair Kinerja Tinggi. Aktivitas antiinflamasi diukur dengan metode penghambatan denaturasi protein BSA dengan spektrofotometer UV-Vis. Efektivitas iradiasi sinar gamma dalam menurunkan angka cemaran mikroorganisme meningkat seiring meningkatnya dosis iradiasi (p<0,05). Kadar bioaktif 6-gingerol menunjukkan kadar yang paling tinggi diantara tiga senyawa bioaktif lainnya. Namun, secara keseluruhan dosis iradiasi gamma yang diberikan tidak berpengaruh signifikan terhadap kandungan 6-gingerol,8-gingerol,10-gingerol dan 6-shogaol dalam ekstrak etanol 70% jahe merah (p>0,05). Aktivitas antiinflamasi ekstrak etanol 70% jahe merah juga tidak berbeda signifikan setelah di iradiasi dengan dosis 0-15 kGy (p>0,05).

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Red ginger has long been used as a traditional medicine to reduce inflammation. However, rhizome herbs such as red ginger are reported to contain relatively high levels of contamination by microorganisms. So a sterilization method is needed to decontaminate the microorganisms. Gamma irradiation is often an option for decontamination, but it is not yet known which dose is effective in killing microorganisms and does not affect the levels of bioactive compounds or the biological activity of red ginger. This study aims to evaluate the effect of gamma irradiation on contamination of microorganisms, levels of compounds 6-gingerol, 8-gingerol, 10-gingerol, and 6-shogaol, and the anti-inflammatory activity of a 70% ethanol extract of red ginger. Red ginger rhizome powder was first extracted by the maceration method using 70% ethanol at 1:5. The red ginger extract was then irradiated at doses of 0, 5, 7.5, 10, and 15 kGy. The evaluation of microbial contamination of the total plate count and yeast mold count was carried out by the pouring method. The evaluation of bioactive levels was analyzed using the high-performance liquid chromatography method. Anti-inflammatory activity was measured by inhibiting BSA protein denaturation with a UV-Vis spectrophotometer. The effectiveness of gamma irradiation in reducing the number of microorganisms contaminating the environment increased with increasing irradiation dose (p 0.05). The level of bioactive 6-gingerol showed the highest level among the other three bioactive compounds. However, overall, the dose of gamma irradiation given had no significant effect on the content of 6-gingerol, 8-gingerol, 10-gingerol, and 6-shogaol in the 70% ethanol extract of red ginger (p > 0.05). The anti-inflammatory activity of the 70% ethanol extract of red ginger was also not significantly different after irradiation with dose 0-15 kGy (p > 0.05)."

"Spektroskopi nuklir memerlukan sistem digital pulse processing yang mampu mempertahankan resolusi energi yang tinggi serta meminimalkan efek pile-up akibat tingginya laju pulsa yang masuk ke detektor. Dalam penelitian ini, diimplementasikan algoritma Triangle-Trapezoid Dual Channel Shaper yang memanfaatkan dua saluran paralel, yaitu saluran fast untuk mendeteksi dan mengidentifikasi kejadian pile-up secara cepat serta saluran slow yang bertugas melakukan ekstraksi energi sinyal secara akurat. Data sinyal yang digunakan diperoleh dari hasil akuisisi di BRIN menggunakan sumber radioaktif Co-60, Cs-137, dan K-40 dengan variasi densitas pulsa yang berbeda-beda, mencerminkan kondisi nyata dalam eksperimen spektroskopi nuklir. Proses implementasi algoritma meliputi tahap pemilihan parameter optimal menggunakan pendekatan rasio sinyal terhadap derau (SNR), kemudian diikuti dengan pemrosesan sinyal menggunakan algoritma shaping tersebut. Evaluasi hasil dilakukan berdasarkan beberapa metrik kunci, seperti visualisasi sinyal yang sudah diproses, pengukuran lebar puncak setengah maksimum (FWHM) untuk menilai resolusi energi, analisis linearitas energi, serta perbandingan rasio sinyal terhadap derau (SNR). Hasil eksperimen menunjukkan bahwa algoritma Triangle-Trapezoid Dual Channel Shaper mampu mendeteksi pile-up secara efektif dan secara signifikan meningkatkan kualitas spektrum energi yang dihasilkan. Hal ini terutama terlihat pada ketajaman puncak spektrum dan kemampuan memisahkan garis energi yang berdekatan, dibandingkan dengan spektrum yang dihasilkan tanpa proses shaping.

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Nuclear spectroscopy requires a digital pulse processing system capable of maintaining high energy resolution while minimizing pile-up effects caused by high pulse rates entering the detector. In this study, the Triangle-Trapezoid Dual Channel Shaper algorithm was implemented, utilizing two parallel channels: a fast channel for quickly detecting and identifying pile-up events, and a slow channel dedicated to accurate energy extraction. The signal data were acquired at BRIN using radioactive sources Co-60, Cs-137, and K-40, each representing different pulse density conditions, simulating real-world nuclear spectroscopy scenarios. The implementation process involved selecting optimal shaping parameters using the signal-to-noise ratio (SNR) approach, followed by signal processing through the dual-channel shaping algorithm. The results were evaluated using key metrics such as processed signal visualization, full width at half maximum (FWHM) for energy resolution, energy linearity assessment, and SNR comparison. Experimental findings showed that the Triangle-Trapezoid Dual Channel Shaper effectively detected pile-up events and significantly improved the quality of the resulting energy spectrum. The improvements were particularly evident in the sharpness of spectral peaks and the enhanced ability to distinguish between closely spaced energy lines compared to unshaped signals."

"The aim of this book is to focus on research related to the rapid detection of agents and weapons of bioterrorism and provide a comprehensive review of the research topics most pertinent to advancing devices applicable to the rapid real-time detection of toxicants such as microbes, pathogens, toxins, or nerve gases."