Hasil Pencarian  ::  Simpan CSV :: Kembali

"The authors of this book believe that it should be possible for these professional mathematicians to explain to non-professionals what they do, what they say they are doing, and why the world should support them at it. They also believe that mathematics should be taught to non-mathematics majors in such a way as to instill an appreciation of the power and beauty of mathematics. Winner of the 1983 National Book Award, The Mathematical Experience conveyed the power and beauty of its topic to a broad audience. The study version added exercises and other classroom aids. "

"Digitalisasi proses pengisian data Kartu Tanda Penduduk (KTP) memerlukan prosesotomatisasi dan otentikasi, yang dapat dilakukan dengan proses pembacaan teks pada gambarKTP oleh komputer secara otomatis serta mengevaluasi kemiripan wajah pada foto KTP danswafoto pendaftar. Proses pembacaan data pada KTP secara otomatis disebut juga secagai prosesOptical Character Recognition (OCR), sedangkan pengevaluasian kemiripan wajah dapatdilakukan dengan model Siamese Network. Baik Siamese Network maupun model untuk OCRmerupakan model yang pada dasarnya digunakan untuk mengolah gambar. Oleh karena itudigunakan Convolutional Neural Network (CNN) sebagai model dasar pada penelitian ini. Padaproses OCR dan evaluasi kemiripan wajah dibutuhkan model yang mampu mendeteksi lokasi teksdan wajah yang akan diekstrak dari gambar, model tersebut merupakan model text detection danface detection. Model text detection dan face detection merupakan aplikasi dari model objectdetection. Pada model object detection terbaru, dikembangkan model modifikasi CNN yangmampu mendeteksi obek yang berukuran sangat kecil dan sangat besar, model tersebut dinamakanBidirectional Feature Pyramid Network (BiFPN). Setelah mengekstrak lokasi teks, langkah dariproses OCR selanjutnya adalah mengenali setiap karakter dalam teks (text recognition), yangdapat dilakukan dengan model Bidirectional Long Short-Term Memory (BiLSTM). Sedangkandari wajah yang diekstrak selanjutnya ditentukan apakah berasal dari orang yang sama atau tidakoleh model Siamese Network. Pada penelitian ini akan dibangun arsitektur CNN Effiception, yangdigabungkan menjadi CNN-BiFPN untuk proses object detection, CNN-BiLSTM, untuk prosestext recognition, dan CNN dalam bentuk Siamese Network untuk mengevaluasi kemiripan wajah

---

Digitization of ID card applications requires automation and an authentication process,

which can be done by computerized ID card information reading and face's similarity evaluating

on ID card's photo and applicant selfie. The computerized ID card information reading is named

Optical Character Recognition (OCR). While the face's similarity authentication is done by the

Siamese Network model. Both the Siamese Network and OCR model basically used to process

images. Therefore, the Convolutional Neural Network (CNN) became the base model for this

study. Each of OCR and face's similarity authentication required a model that can detect the

location of text and face to be extracted from the image. They are text detection and face detection

model, which are the applications of object detection. The latest object detection model,

EfficientDet, used CNN modification that capable to detect a tiny and huge object at the same

time, is called Bidirectional Feature Pyramid Network (BiFPN). After extracting the location of

the text, the next step of the OCR process is to recognize each character in the text (text

recognition), which can be done with the Bidirectional Long Short-Term Memory (BiLSTM).

Meanwhile, the extracted face, from the selfie and ID card's photo, then be determined either from

the same person or not, by the Siamese Network. The product of this study is the CNN

architecture, Effiception, which is combined into CNN-BiFPN for object detection process, CNNBiLSTM,

for text recognition process, and its modification into Siamese Network architecture to

evaluate the face's similarity"

"Crowdsourced delivery merupakan suatu upaya dalam mengatasi masalah peningkatan kebutuhan jasa pengiriman barang akibat dari tren berbelanja online pada masyarakat yang meningkat secara signifikan. Crowdsourced delivery didefinisikan sebagai proses pengiriman barang yang melibatkan individu dengan latar belakang profesi bukan sebagai kurir untuk memenuhi kebutuhan last mile delivery. Diibaratkan kurir tersebut merupakan pekerja lepas (freelance) dari perusahaan pengiriman logistik. Last-mile delivery merupakan tahap akhir dari proses distribusi pengiriman barang dimana barang akhirnya sampai kepada pelanggan. Pada skripsi ini dilakukan perencanaan last-mile delivery dengan menggunakan integrasi crowdsourcing parsial, dimana permasalahan tersebut membutuhkan titik singgah sementara dalam proses pengiriman barang. Crowdsourcing parsial merupakan gabungan permasalahan two-echelon vehicle routing problem (2-EVRP) dan truck trailer routing problem (TTRP). Two-echelon vehicle routing problem adalah pencarian rute vehicle routing problem dengan dua tingkat jaringan distribusi. Tingkat jaringan distribusi pertama berupa rute perjalanan truk dan tingkat jaringan distribusi kedua berupa perjalanan kurir crowdsourced. Truck trailer routing problem merupakan variasi tambahan permasalahan 2-EVRP agar pelanggan dapat dilayani menggunakan truk dan juga kurir crowdsourced, jika hanya 2-EVRP saja maka pelanggan hanya dapat dilayani oleh crowd-worker. Pada permasalahan ini digunakan metode simulated annealing untuk mencari pendekatan terhadap solusi optimal rute pengiriman barang. Proses simulated annealing bekerja dengan mencari suatu posisi pada suatu temperatur tertentu untuk mereduksi rute yang tidak diperlukan dan memperbaiki solusi agar menjadi optimal. Dalam skripsi ini digunakan data sebanyak 63 titik koordinat lokasi, di mana terdiri dari 1 depot, 12 titik transfer, dan 50 pelanggan. Hasil terbaik dari beberapa kasus yang dijalankan yaitu untuk kasus 19 pelanggan dilayani truk dan 31 dilayani oleh crowd-worker, dapat menghemat biaya perjalanan sebesar 25,9748%.

---

Crowdsourced delivery is an effort to overcome the problem of increasing the need for goods delivery services due to the trend of online shopping in the community, which has increased significantly. Crowdsourced delivery is defined as the process of delivering goods that involve individuals with professional backgrounds not as couriers, to fulfill last-mile delivery needs. The courier is likened to a freelancer from a logistics delivery company. Last-mile delivery is the final stage of the distribution process where the goods finally arrive at the customer. In this thesis, last-mile delivery planning is carried out using partial crowdsourcing integration, where the problem requires a temporary stopover point in the process of delivering goods. Partial crowdsourcing combines the two-echelon vehicle routing problem (2-EVRP) and the truck trailer routing problem (TTRP). The two-echelon vehicle routing problem is a route-finding vehicle routing problem with two levels of distribution network. The first distribution network level is a truck route, and the second distribution network level is a crowdsourced courier. The truck trailer routing problem is an additional variation of the 2-EVRP problem to serve customers using crowdsourced trucks and couriers. If it is only 2-EVRP, then customers can only be served by crowd-workers. In this problem, the simulated annealing method is used to find an approach to the optimal solution of the shipping route. The simulated annealing process works by finding a position at a specific temperature to reduce unnecessary routes and improve the solution to become optimal. In this thesis, the data used are 63 coordinate location points, consisting of 1 depot, 12 transfer points, and 50 customers. The best results from several cases that were carried out were for cases where 19 customers were served by trucks and 31 were served by crowd-workers. It could save travel costs by 25.9748%."

"Secara matematis, melipat dapat dilakukan dengan merotasi bidang kertas yang ingin dilipat terhadap sumbu garis lipatan. Pemetaan dari kertas ke hasil lipatan origami dilakukan dengan merotasi bidang kertas yang sesuai. Apabila sebuah origami yang telah selesai dibuka kembali, terdapat garis-garis bekas lipatan pada kertas. Garis-garis lipatan ini disebut sebagai pola lipatan. Jika sebuah pola lipatan dapat dilipat, perkalian matriks-matriks rotasi sesuai merupakan matriks identitas. Hal ini berlaku pada origami simpul tunggal, dan berlaku secara lokal pada origami simpul jamak, namun dapat diperluas sehingga berlaku secara global pada origami simpul jamak.

---

Mathematically, to fold a paper is to rotate the paper along a crease line as the axis. The mapping from the paper to the finished origami fold is done by rotating parts of the paper to the appropriate locations. Unfolding finished origami reveals a pattern of crease lines, known as crease pattern. If the crease pattern is foldable, then the product of the associated rotational matrices is the identity matrix. This condition holds in a single vertex crease pattern and holds locally in a multiple vertex crease pattern and can be adapted to a global condition in a multiple vertex crease pattern."