Model: yodyamahesa/paper-recommendation-jinav3-keyword
Author: yodyamahesa
Pipeline: sentence-similarity
Library: sentence-transformers
Tags: sentence-transformers, safetensors, xlm-roberta, sentence-similarity, feature-extraction, generated_from_trainer, dataset_size:11928, loss:BatchHardSoftMarginTripletLoss, custom_code, arxiv:1908.10084, arxiv:1703.07737, base_model:jinaai/jina-embeddings-v3, base_model:finetune:jinaai/jina-embeddings-v3, text-embeddings-inference, endpoints_compatible, region:us
Base models (finetune): id: jinaai/jina-embeddings-v3
Card metadata: tags: sentence-transformers, sentence-similarity, feature-extraction, generated_from_trainer, dataset_size:11928, loss:BatchHardSoftMarginTripletLoss
base_model: jinaai/jina-embeddings-v3
widget: source_sentence: badan perpustakaan dan kearsipan provinsi jawa timur tidak hanya berperan sebagai institusi pengelola dan penyedia jasa informasi, namun juga berperan penting dalam pengembangan budaya dan minat baca masyarakat, sesuai dengan ditetapkannya program pemerintah yaitu “jawa timur membaca dan tertib arsip 2014”. berdasarkan data statistik peminjaman pada bapersip serta data jumlah penduduk surabaya dapat disimpulkan bahwa perbandingan jumlah buku yang dipinjam dengan jumlah masyarakat surabaya hanya 1:76, yang mengindikasikan tingkat kesadaran minat baca masyarakat surabaya masih rendah. salah satu hal yang dapat dilakukan untuk meningkatkan minat baca masyarakat surabaya adalah dengan meningkatkan intensitas kunjungan dan aktifitas peminjaman pada perpustakaan. peningkatan aktifitas peminjaman dapat dilakukan dengan meningkatkan kualitas layanan bapersip yang lebih personal kepada pengguna. oleh sebab itu, dilakukan klasterisasi dari data demografis serta perilaku pengguna untuk lebih memahami kelompok-kelompok pengguna. metode yang digunakan dalam klasterisasi ini adalah menggunakan ga-kmeans. metode ini dipilih karena dapat menghasilkan kinerja yang lebih optimal dibandingkan dengan menggunakan metode kmeans sederhana, melalui penentuan initial centroid yang lebih optimal. hasil pengelompokan yang diperoleh menunjukkan bahwa nilai total within cluster sum of distances dari pengelompokan yang telah dioptimasi dengan algoritma genetika bernilai lebih kecil dibandingkan pengelompokan menggunakan algoritma k-means sederhana. dengan kata lain pengelompokan menggunakan ga-kmeans menghasilkan klaster tingkat kerapatan dalam di dalam klaster yang lebih baik dibandingkan metode k-means sederhana. hasil pengelompokan menghasilkan empat klaster pengguna disertai rekomendasi kategori buku yang sesuai untuk setiap klaster pengguna bapersip.
sentences: the national institute on deafness and other communication disorders/national institutes of health (nidcd/nih) sponsored a research working group on accessible and affordable hearing health care for adults with mild to moderate hearing loss on august 25 - 27, 2009 in bethesda, maryland. the purpose of the working group was to develop a research agenda to increase accessibility and affordability of hearing health care for adults with mild to moderate hearing loss, including accessible and low cost hearing aids. for the purposes of the working group, mild hl was defined as 26-40 db hl averaged across 0.5 - 4.0 khz, and moderate hl was defined as 41-60 db hl averaged across 0.5 - 4.0 khz. why is this working group important at this time? hearing loss (hl) is a public health issue and is among the leading public health concerns. approximately 17% of american adults, or 36 million people, report some degree of hl1. hl is the third most prevalent chronic health condition facing seniors2. yet, fewer than 20% of those with hl who require intervention and treatment seek help for their condition3. untreated hl has social and economic ramifications. most hearing aid users have lived with hl for over 10 years and their impairments have progressed to moderate-to-severe levels before seeking a hearing aid4. for many reasons, the current hearing health care (hhc) system in the united states is not meeting the needs of the vast majority of adults with hl. as the lead federal agency to promote the nation's hhc, nidcd has the responsibility and is actively seeking to address this problem from the public health perspective. nidcd senate report language for fy2010 appropriations “recommends that the nidcd support research to develop, improve and lower the cost of hearing aids...”5. further, healthy people 2020, a u.s. department of health and human services (hhs) activity that provides science-based, 10-year national objectives for promoting health and preventing disease, includes increasing the adoption rate of hearing aid usage as a healthy people 2020 goal6. nidcd is committed to addressing these recommendations and goals through well-developed and targeted research initiatives., we explored the potential association rules within acupoints in treating diabetic gastroparesis (dgp) using apriori algorithm complemented with another partition-based algorithm, a frequent pattern growth algorithm. apriori algorithm is a data mining-based analysis that is widely applied in various fields, such as business and medicine, to mine frequent patterns in datasets. to search for effective acupoint combinations in the treatment of dgp, we implemented apriori algorithm to investigate the association rules of acupoints among 17 randomized controlled trials (rcts). the acupoints were extracted from the 17 included rcts. in total, 29 distinct acupoints were observed in the rcts. the top 10 frequently selected acupoints were cv12, st36, pc6, st25, bl21, bl20, bl23, sp6, bl18, and st21. the frequency pattern of acupoints achieved by using a frequent pattern growth algorithm also confirms the result. the results showed that the most associated rules were {bl23, bl18} ≥ {sp6}, {bl20, bl18} ≥ {pc6}, {pc6, bl18} ≥ {bl20}, and {sp6, bl18} ≥ {bl23} in the database. acupoints, including bl23, bl18, sp6, bl20, and pc6, can be deemed as core elements of acupoint combinations for treating dgp., abstract : a quantitative assessment of aerial refueling hose visibility was conducted by the 711 hpw/rhcv in response to a request from the aerial refueling systems advisory group (arsag) and the naval air systems command, fuel containment and aerial refueling systems (nawcad). the objective of this effort was to determine the visibility (contrast) of six different refueling hoses varying by color and markings including one never-used new hose and five with obvious signs of usage. the primary variable measured was the contrast between the markings and the hose under several illumination and viewing geometries as well as assessments made for other spectral band sensors. additional subjective assessments were made of images captured using nvg, swir and lwir sensors of each of the hoses samples. results demonstrated that contrast between the refueling hose samples and markings are dependent on the viewing and illumination geometry, with the new, ?unused? hose sample markings at a much higher contrast ratio than the other five used samples. a discussion regarding the implications of these findings to other real-world conditions causing contrast degradation during aerial refueling is presented. recommendations for further evaluations to assist in the determination of standards for minimum allowable contrast of refueling hose markings before cleaning or replacement are discussed., source_sentence: vision-based pedestrian detection remains a challenging task, so far. the detection performance often suffers from the various appearances of pedestrians, the illumination changes, and the possible partial occlusions. aiming at resolving these challenges, in this paper, a new linear kernel function is proposed to effectively combine two heterogeneous features, i.e., histogram of oriented gradient and local binary pattern, which enhances the pedestrian description ability to illumination conditions and cluttered background. then, a novel multi-view-pose part ensemble (mvppe) detector is proposed, in order to better handle pedestrian variability, views, and partial occlusions. experimental results in public data sets demonstrate that the proposed feature combination method significantly improves the description capabilities of pedestrian features. compared with the existing multipart ensemble approaches, the proposed mvppe detector boosts higher detection accuracy.
sentences: sumatera barat, geographically has characteristic that boundary with indian ocean and bukit barisan on the eastern. according geographically condition sumatera barat has high evaporation; it’s potential to be rainfall. sumatera barat has two rainfall peaks that is march and october. according that condition, sumatera barat has locally condition impact. because of that, we need to making a model that can calculation all locally parameter to making a complete prediction. in this case, we use neural network back propogation. back propogation method using 3 input layer: total index, precipitable water and convergence, 1 out put layer: rain day, momentum 0.9, learning rate 0.1, error global 0.001 and logsig activation. them model has 80 % accuracy for training and 70% accuracy for real observation data. it is mean this model can identify the local conditon., study fault diagnosis method based on neural network fuzzy model for a class of nonlinear dynamic system.the inputs and outputs of the system include external disturbance and modeling errors and other uncertain parts.in order to improve the observer online tracking ability and further improve the robustness of the fault diagnosis,a diagnosis method based on fuzzy neural network was proposed.neural network and fuzzy system can infinite approximate nonlinear function,the neural network adaptive observer based on t-s fuzzy model was utilized to estimate the unknown model in the nonlinear system,simultaneously,to estimate the fault value.the method of turning the weights of the observer was realized based on lyapunov stability theory.the stability of the system was analysised in detail.a simulation example was given to illustrate the effectiveness of the approach., resume: sarana transportasi merupakan salah satu penunjang utama keberlangsungan sebuah kota dan menjadi kunci penghubung seluruh titik yang ada di kota tersebut. seluruh kondisi ini membentuk model sosial-budaya masyarakat yang utilitarian dan menempatkan mobil pribadi menjadi salah satu ikon penting dalam pertumbuhan kota itu sendiri. di indonesia, penjualan mobil yang diperuntukkan bagi keluarga , atau yang dikenal dengan mpv ( multipurpose vehicle), selalu menempati posisi rata-rata tertinggi dibandingkan dengan jenis desain mobil lainnya. penelitian ini bertujuan untuk mengetahui persepsi dan nilai keluarga dan penerapannya dalam sebuah mobil keluarga , serta menganalisa sampai sejauh mana pentingnya keberadaan nilai-nilai tersebut pada sebuah mobil keluarga. metoda penelitian yang dilakukan adalah dengan menggunakan pendekatan kualitatif. hasil penelitian menunjukkan bahwa simbol nilai keluarga menjadi hal yang lebih penting dan perlu direpresentasikan melalui mobil jenis mpv dibandingkan utilitasnya. k eluarga cenderung memiliki persepsi bahwa ruangan dalam mobil menunjukan posisi atau strata anggota keluarga. selanjutnya, terdapat perbedaan antara aktivitas yang dilakukan saat bepergian dengan keluarga inti dan keluarga besar. berbicara antar anggota keluarga terjadi saat penumpang berisi keluarga inti. sebaliknya, saat mobil ditumpangi oleh keluarga besar, anggota keluarga banyak melakukan aktivitas dengan gadget atau alat komunikasi yang dimiliki. k ata kunci : m obil keluarga, nilai, keluarga inti, keluarga besar , utilitas, identitas , budaya kota, persepsi, simbol nilai keluarga, dan ruangan dalam mobil . abstract : “urban culture and traditional values of indonesian society towards the family car”. means of transportation is one of the main sustainability supports of a city and the key connecting all points in the city. these conditions form the entire socio-cultural model of utilitarian society and put private cars into one of the important icons in the growth of the city. in indonesia, family car design , known as mpv ( multipurpose vehicle), always occupied the highest average sales rate as compared to the other types of automobile. this study aims to determine the perception and value of the family as well as their application in a family car , t hen, analyzing the extent to which the importance of these values in a family car. the method of the study is qualitative approach . the result shows that the symbol of family values becomes more important and needs to be represented through the mpv type car rather than utility. families tend to have the perception that the space in the car indicates position or strata of the family members. moreover, there is a difference in terms of the activities carried out on the go with the nuclear family and extended family. conversation among family members occurs when the passengers are of the nuclear family. conversely, when a car is boarded by a large family, many family members will do activities with their own gadgets/communication devices. k ey word : f amily car, value, extended family, nuclear family, utility, identity , urban culture, perception, symbol of family values , and space in the car. about the authors: yannes martinus pasaribu, m.sn. adalah kandidat doktor pada fakultas senirupa dan desain itb (institut teknologi bandung), jalan ganesha no.10, bandung 40132, jawa barat, indonesia. dr. agus sachari dan dr. andar bagus sriwarno adalah staf pengajar desain produk di itb bandung. untuk kepentingan akademik, penulis bisa dihubungi dengan alamat emel: ergolib@gmail.com , asachari@yahoo.com dan andarbugs@yahoo.com how to cite this article? pasaribu, yannes martinus, agus sachari & andar bagus sriwarno. (2015). “budaya kota dan nilai tradisi masyarakat indonesia pada mobil keluarga” in sosiohumanika: jurnal pendidikan sains sosial dan kemanusiaan , vol.8(2) november, pp.217-230. bandung, indonesia: minda masagi press and unipa surabaya, issn 1979-0112. chronicle of the article: accepted (september 9, 2015); revised (october 10, 2015); and published (november 30, 2015)., source_sentence: objective to develop an objective method for assessing organ dysfunction among intensive care unit (icu) patients on the first day of the icu stay. design and setting physiological variables defined dysfunction in 6 organ systems. logistic regression techniques were used to determine severity levels and relative weights for the logistic organ dysfunction (lod) score and for conversion of the lod score to a probability of mortality. patients a total of 13 152 consecutive admission to 137 adult medical/surgical icus in 12 countries from the european/north american study of severity systems. outcome measures patient vital status at hospital discharge. results the lod system identified from 1 to 3 levels of organ dysfunction for 6 organ systems: neurologic, cardiovascular, renal, pulmonary, hematologic, and hepatic. from 1 to 5 lod points were assigned to the levels of severity, and the resulting lod scores ranged from 0 to 22 points. model calibration was very good in the developmental and validation samples (p=.21 and p=.50, respectively), as was model discrimination (area under the receiver operating characteristic curves of 0.843 and 0.850, respectively). conclusion the lod system provides an objective tool for assessing severity levels for organ dysfunction in the icu, a critical component in the conduct of clinical trials. neurologic, cardiovascular, and renal dysfunction were the most severe organ dysfunctions, followed by pulmonary and hematologic dysfunction, with hepatic dysfunction the least severe. the lod system takes into account both the relative severity among organ systems and the degree of severity within an organ system.
sentences: pemanfaatan kayu sebagai bahan konstruksi di indonesia masih menjadi pilihan utama bagi masyarakat. hal ini disebabkan oleh sifat kayu yang mudah didapat, mudah dalam pengerjaan dan mempunyai nilai estetika bagi jenis kayu tertentu. kualitas kayu merupakan hal yang sangat penting dalam bidang industri kayu. selama ini, proses pemilahan kayu normal dan kayu cacat masih dilakukan secara manual dengan tenaga manusia. tentu saja, hal ini bukan merupakan hal yang efisien. oleh sebab itu diperlukan suatu metode pemilahan kayu normal dan kayu cacat dengan bantuan computer vision. pada penelitian ini, telah dilakukan perancangan dan implementasi simulasi sistem yang dapat mendeteksi cacat pada kayu menggunakan metode gabor wavelet transform dan metode klasifikasi k-nearest neighbor. parameter terbaik dari filter gabor dan k-nn menghasilkan nilai akurasi sebesar 75.6% untuk data pengujian sejumlah 500 buah citra dengan waktu komputasi 1,27 detik untuk tiap citra. kata kunci : cacat kayu, computer vision, gabor wavelet, k-nn., nowadays ventricular fibrillation has become one of the most serious cardiac rhythm disturbance in the world. it is worth predicting this problem and also achieving valuable chance for clinical therapy. at the time of happening vf some symptoms in heart rate variability (hrv) signal are apparent, which can be used to predict vf. before happening vf, finding these symptoms are cumbersome and this problem leads to the fact that the proposed approach becomes weaker because it is desirable to reduce the time of prediction. in this study, an algorithm with the purpose of predicting vf is presented, which is based on extracting linear, frequency and non-linear features from hrv signal. extracted features are validated through the use of t-test, and useful features are extracted by means of genetic algorithm (ga) and neural networks. target function of ga is selected by considering the linear combination with positive rate of accuracy, sensitivity, specialty and negative rate in number of features. the most significant achievement of this study is taking no notice of frequency features of hrv signal, which represents the stress level and also relaxation of patient before happening vf. moreover, the obtained results of this study are compared based on k-fold test and has achieved the accuracy of96.67% in accordance with the non-linear features., usaha rumah makan di kota surakarta hingga saat ini masih diyakini sebagai usaha yang memiliki prospek bagus. hal ini dapat dilihat dari data dinas kebudayaan dan pariwisata (disbudpar) kota solo yang menjelaskan bahwa jumlah restoran dan rumah makan naik masing-masing 10,53% dan 2,92%. selain memiliki prospek yang bagus, jumlah rumah makan yang semakin bertambah menyebabkan persaingan bisnis ini semakin ketat. penelitian ini akan memberikan informasi kepada para pengusaha rumah makan mengenai pola selera masyarakat surakarta dalam memilih rumah makan dengan menggunakan algoritma ct-pro agar para pengusaha rumah makan dapat bersaing sehingga pengusaha rumah makan tidak mengalami gulung tikar. ct-pro merupakan algoritma yang dimodifikasi dari algoritma fp-growth dimana modifikasi yang dilakukan adalah pada struktur data yang digunakan. penelitian ini melakukan pengujian data survei 1000 orang dengan menentukan minimal support 5% sedangkan minimal confidence 40%. pengujian dilakukan untuk semua kriteria dari pertanyaan yang meliputi umur, jenis kelamin, pekerjaan, harga, suasana, konsep, jenis makanan, bentuk pelayanan, rasa dan fasilitas. hasil dari pengujian tersebut seperti masyarakat surakarta yang memiliki pekerjaan mahasiswa berumur 17-23 tahun menginginkan konsep rumah makan berupa gazebo dengan bentuk pelayanan seperti masakan padang (makanan di taruh dipiring kecil dan di taruh di meja) atau mengambil makanan dan langsung bayar. adapun jenis masakan yang diinginkan adalah masakan olahan umum (ayam, tempe penyet) atau berupa masakan internasional dengan rasa dominan pedas serta rumah makan dilengkapi dengan fasilitas tv atau wifi. mahasiswa menginginkan harga untuk rumah makan skala kecil berkisar antara rp 5000 – rp 10000 atau rp 16000 – rp 20000 atau harga di rumah makan skala menengah berkisar antara rp 20000 – rp 25000 atau rp 26000 – rp 30000. sedangkan masyarakat surakarta yang berumur 31-35 tahun memilih jenis masakan berupa masakan khas solo. kata kunci : asosiasi , ct-pro , data mining , rumah makan, source_sentence: in comparing objects to analyze the relationship between objects, in computer technique, we can use the methods called data mining. this system is very familiar created with many steps. in this research, algorithm ways used is algoritma priory and algorithm fp- growth. to decide the relationship between scores in math and english and the final result of programming and web programming study, we use the two methods above. so, we can see the relationship between the three indicators mentioned. the connection of math and programming, the highest confidence score was 54.5%. the connection between english and programming was 66.7% and the connection between english and web programming was 60%. for the result of the fp-growth algorithm process, the high difference was seen in a simpler and faster way, compared if using apriori. this is caused by the reason algorithm fp-growth, not all data scanned to get the scoring support based on frequencies from each data given.
sentences: pada tesis ini, self constructing fuzzy neural network (scfnn) digunakan sebagai metode pengambilan keputusan dalam mengindentifikasi dan tracking terhadap obyek untuk memberikan perintah pada robot 2 derajat kebebasan, yaitu gerakan arah memutar pada sumbu x, perputaran terhadap sumbu y dan berhenti. keuntungan dari penggunaan metode scfnn ini adalah tidak perlu menginisialisasi rule, konvergen secara cepat dan presisi. scfnn diusulkan sebagai perbaikan hasil dari penggunaan ann dan fuzzy karena scfnn merupakan penggabungan dari kelebihan kedua metode tersebut. pada penelitian ini, scfnn digunakan sebagai tahapan akhir dari sistem identifikasi obyek yang diambil berdasarkan proses image yaitu besar error yang terjadi berdasarkan posisi obyek terhadap titik tengah kamera. dari hasil learning error rata-rata yang terjadi dari beberapa percobaan simulasi untuk kontrol scfnn adalah sebesar 0.0005%. sedangkan dari hasil pengujian secara sistem kesalahan rata-rata proses tracking dengan menempatkan posisi obyek yang berbeda adalah sebesar 1,4 pixel untuk gerakan kearah sumbu x dan 1,2 pixel untuk arah sumbu y dan overshoot sebesar 0%. sedangkan proses tracking dengan menggunakan kontrol proportional didapatkan kesalahan rata-rata sebesar 3,6 pixel pada arah sumbu x dan 4,4 untuk gerakan kearah sumbu y, overshoot rata-rata adalah 20,84% untuk posisi x dan 15,154%. berdasarkan response pergerakan hasil pengujian kontrol scfnn mempunyai pergerakan lebih halus dibandingkan menggunakan kontrol proporsional., penelitian ini berupa perancangan dan impelementasi computer vision berbasis digital image processing pada citra yang diambil dari satelit google earth dan bertujuan mengetahui kepadatan rumah penduduk dan lahan terbuka suatu wilayah sebagai deteksi awal. penelitian ini juga bertujuan untuk memberikan konstribusi keilmuan di bidang digital image processing sebagai alternatif usulan model deteksi kepadatan rumah penduduk. metodology yang digunakan dalam penelitian ini adalah studi kepustakaan yang diperoleh dari jurnal yang diidentik. proses yang dilakukan adalah mengambil citra dari suatu desa atau daerah pada google earth yang berbentuk rgb, mengekstraksi nilai pixel rgb, mendapatkan nilai mean rgb, mentransformasikan rgb ke hsi dan mencari nilai mean hsi, mencari variance dan masing-masing rgb dan hsi kemudian diklasifikasi menggunakan k-nearest neighbor. dataset diklasifikasi menggunakan k-nearest neighbor menjadi tiga kategori yaitu rumah penduduk yang padat, sedang dan longgar. selanjutnya dataset yang telah diklasifikasi dijadikan data training sebagai perbandingan data untuk testing. hasil testing menunjukkan bahwa akurasi deteksi kepadatan rumah penduduk dari citra testing dengan membanding hasil pengamatan ahli mencapai 95%., accurate prediction of the compressive strength of concrete is of great significance to construction quality and progress. in order to understand the current research status in the concrete compressive strength prediction field, a bibliometric analysis of the relevant literature published in this field in the last decade was conducted first. the 3135 journal articles published from 2012 to 2021 in the web of science core database were used as the database, and the knowledge map was drawn with the help of the visualisation software citespace 6.1r2 to analyse the field at the macro level in terms of spatial and temporal distribution, hotspot distribution and evolutionary trends, respectively. afterwards, we go into the detail and divide concrete compressive strength prediction methods into two categories: traditional and machine-learning methods, and introduce the typical methods of each. in addition, a boosting-based ensemble machine-learning algorithm, namely the gradient boosting regression tree (gbrt) algorithm, is proposed for predicting the compressive strength of concrete. 1030 sets of concrete compressive strength test data were collected as the dataset, of which 60% were used to train the model, 20% to validate the model and 20% to test the trained model. the coefficient of determination (r2) of the gbrt model was 0.92, the mean square error (mse) was 22.09 mpa, and the root mean square error (rmse) was 4.7 mpa, which is an excellent prediction accuracy compared to prediction models constructed by other machine-learning algorithms. in addition, a five-fold cross-validation analysis was carried out, and the eight input variables were analyzed for their characteristic importance., source_sentence: users from all over the world increasingly adopt social media for newsgathering, especially during breaking news. breaking news is an unexpected event that is currently developing. early stages of breaking news are usually associated with lots of unverified information, i.e., rumors. efficiently detecting and acting upon rumors in a timely fashion is of high importance to minimize their harmful effects. yet, not all rumors have the potential to spread in social media. high-engaging rumors are those written in a manner that ensures achievement of the highest prevalence among the recipients. they are difficult to detect, spread very fast, and can cause serious damage to society. in this article, we propose a new multi-task convolutional neural network (cnn) attention-based neural network architecture to jointly learn the two tasks of breaking news rumors detection and breaking news rumors popularity prediction in social media. the proposed model learns the salient semantic similarities among important features for detecting high-engaging breaking news rumors and separates them from the rest of the input text. extensive experiments on five real-life datasets of breaking news suggest that our proposed model outperforms all baselines and is capable of detecting breaking news rumors and predicting their future popularity with high accuracy.
sentences: telanaipura sector police is the republic of indonesia's police command structure at the sub-district level in jambi province. in the criminal investigation department, the telecommunication sector in processing criminal data is still done manually assisted with microsoft word so that the processing of the data has not been properly processed in order to carry out data analysis, evaluation and profiling of data on the increasing number and extent of crime. extensively. the aim of reducing crime rates is that it needs to be built web-based applications and tested using weka applications to help process and analyze data using data mining techniques using the decision tree method. in analyzing the data using the age, time, place of occurrence, crime decision tree as an attribute of the case and article theft as a class. in making this prediction application, the php and html programming languages ​​are used. and using databases using mysql and in analyzing using microsoft excel and weka. the data inputted is in the form of data on the offender, violation data and admin data. the attributes that are inputted in the weka application are attributes of age, time, place of occurrence, and crime and articles of violation as a class. the output generated from the weka application is in the form of rules or rules from the decision tree while the output generated by the web-based prediction interface results in article violation classes and generates reports on the perpetrator's actions, the number of crimes, crimes per period and per violation article. with the mining data prediction interface criminal classification on the police of the jambi telecommunication sector using the decision tree method can help the telanaipura jambi sector police in evaluating and profiling criminal offenders., perkembangan teknologi membawa perubahan besar bagi kehidupan manusia. salah satu perubahan yang paling menonjol dari adanya perkembangan teknologi adalah munculnya aplikasi-aplikasi yang memiliki kecerdasan buatan. seiring berkembangnya teknologi mendorong para pelaku bisnis beralih ke teknologi artificial intelligence (ai). industri layanan publik mulai mengakomodasi pergesaran dari manual ke digital. hal ini membuktikan bahwa industri layanan publik seperti pemerintahan mulai berbenah untuk beralih ke teknologi ai. dalam mengakomodasi pergeseran tersebut industri pariwisata jakarta menjadi sorotan karena memiliki banyak objek wisata namun tidak semua orang mengetahui mengenai informasi objek wisata yang ada di dki jakarta. data potensi dan permasalahan pariwisata jakarta menyatakan bahwa publikasi dan informasi objek wisata yang terbatas dan kurang komunikatif menjadi salah satu permasalahan yang sangat disoroti oleh pemerintah jakarta dalam pengembangan objek wisata dki jakarta. chatbot merupakan sebuah program komputer bebasis ai yang mampu berinteraksi dengan penggunanya dengan menggunakan bahasa alami. aplikasi chatbot informasi objek wisata dengan pemrosesan bahasa alami (natural language precessing) dibangun dengan menggunakan metode artificial intelligence markup language (aiml) sebagai basis dasar pengetahuan chatbot dan algoritma enhanced confix stripping (ecs) sebagai pengolah input user menjadi kata dasar. aplikasi ini dibangun dan telah diuji dengan menggunakan metode technology acceptance model (tam) dengan menghasilkan angka sebesar 85.56% responden yang menyatakan setuju bahwa aplikasi tidak membutuhkan banyak usaha untuk menggunakannya (perceived ease of use) dan 85.78% responden yang setuju bahwa aplikasi ini dapat meningkatkan kinerja pengguna dalam menemukan infomasi objek wisata (perceived usefulness)., abstrak di dalam artikel ini akan dijelaskan sebuah pendekatan numerik untuk penyelesaian persamaan differensial biasa (pdb) yang di dasarkan pada pendekatan suatu fungsi dan turunannya dengan menggunakan jaringan fungsi radial basis. solusi dari persamaan tersebut, diperoleh dengan cara mengganti fungsi dan fungsi turunannya dengan sebuah fungsi pendekatan menggunakan jaringan fungsi radial basis (radial basis function). hasilâ yang diperoleh dengan menggunakan metode yang diusulkan ini,lebih baikkualitasnya jika dibandingkan dengan solusi yang diperoleh dengan menggunakan metode runge-kutta orde-4. kelebihan dari metode ini adalah setiap fungsi dan turunannya dapat di dekati secara langsung dengan sebuah fungsi basis, sehingga untuk memperoleh solusi tidak diperlukan nilai awal.hal ini selangkah lebih maju jika dibandingkan dengan metode-metode konvensional yang selalu memerlukan nilai awal. disamping itu, jumlah komputasi yang di perlukan juga jauh lebih sedikit jika dibandingkan dengan jumlah komputasi pada metode-metode konvensional. kata kunci : p enyelesaian numerik, persamaan differensial, jaringan â syaraf tiruan, fungsi radial basis, rbf. â abstract in this article will describe a numerical approach to the completion of ordinary differential equations (pdb), which is based on the approach of a function and its derivatives using radial basis function network. the solution of the equation, is obtained by replacing the function and its derivative function with a function approach uses radial basis function network (radial basis function). the results obtained using the proposed method, the more better quality when compared to solutions obtained using the runge-kutta method of order-4. the advantage of this method is that every function and its derivatives can be approached directly by a function of the base, so it as to obtain the initial value of the solution is not required. it is a step forward when compared to conventional methods always require an initial value. in addition, the amount of computing that need is also far less if compared to the amount of computing on conventional methods. keywords: numerical resolution, differential equations, neural network, radial basis function, rbf. â
pipeline_tag: sentence-similarity
library_name: sentence-transformers
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Created: 2025-08-12 01:30:27