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"Penelitian dilakukan untuk mengetahui apakah variabel yang mempengaruhi customer intention to reuse online food delivery (OFD) pada saat pandemi Covid-19. Peneliti menggunakan kuesioner dengan non-probability sampling dimana persyaratan responden adalah telah menggunakan aplikasi online untuk memesan makanan dan/atau minuman dalam kurun waktu 6 bulan terakhir. Dari data 241 responden dapat diambil kesimpulan bahwa lima variabel (perceived usefulness, perceived ease of use, price saving benefits, time saving benefits, dan perceived severity) terbukti berpengaruh secara positif kecuali variabel food safety risk perception dan perceived vulnerability. Pada aplikasi Gofood dan Grabfood terdapat perbedaan variabel price saving benefit, food safety risk perception, dan customer intention to reuse OFD.

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This research was conducted to determine whether the variables that influence customer intention to reuse Online Food Delivery (OFD) during the Covid-19 pandemic. Researchers used a questionnaire with non-probability sampling that required respondent to have used an online application to order food and/or drinks within the last 6 months. From the data of 241 respondents, it can be concluded that five variables (perceived usefulness, perceived ease of use, price saving benefits, time saving benefits, and perceived severity) proved to have a positive effect, except for the food safety risk perception and perceived vulnerability variables. In Gofood and Grabfood applications, there are differences in the variables of price saving benefit, food safety risk perception, and customer intention to reuse OFD.

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"Dalam dunia industri, sistem perencanaan distribusi yang diterapkan merupakan faktor penting yang diharapkan dapat meningkatkan keuntungan dan efisiensi proses logistik suatu perusahaan. Hingga saat ini, PT Paragon Technology and Innovation mengatur proses logistik distribusi seluruh produk perusahaan secara mandiri melalui PT Parama Global Inspira. Namun, proses logistik hingga saat ini masih dilakukan secara manual oleh pegawai perusahaan yang mencakup penentuan muatan produk pada sebuah pengiriman dan pemilihan rute distribusi produk. Penelitian ini akan membandingkan 11 algoritma clustering dan 6 algoritma penyelesaian Bin Packing Problem (BPP) dan Vehicle Routing Problem with Time Windows (VRPTW). Implementasi algoritma akan bertujuan untuk memberikan rekomendasi pemuatan barang dan perancangan rute pengiriman. Penelitian berhasil memperoleh algoritma dengan performa terbaik yaitu Mean Shift dan First Fit Nearest Neighbor. Penelitian ini juga berhasil mengimplementasikan sistem berbasis website untuk digunakan PT Paragon Technology and Innovation dalam mengolah data order menjadi rekomendasi pemuatan barang dan perancangan rute pengiriman. Sistem tersebut dirancang oleh komponen UI/UX, pemrograman frontend, dan pemrograman backend.

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In the industrial world, the distribution planning system is an important factor that is expected to increase the profits and efficiency of a company's logistics processes. Until now, PT Paragon Technology and Innovation manages the logistics process for distributing the company's products independently through PT Parama Global Inspira. However, the logistics process is currently still carried out manually by company employees, which includes determining product cargo for a delivery and selecting product distribution routes. This research will compare 11 clustering algorithms and 6 Bin Packing Problem (BPP) and Vehicle Routing Problem with Time Windows (VRPTW) solving algorithms. The implementation of the algorithm will aim to provide recommendations for goods loading and delivery route planning. The research succeeded in obtaining algorithms with the best performance, namely Mean Shift and First Fit Nearest Neighbor. This research also succeeded in implementing a website-based system for use by PT Paragon Technology and Innovation in processing order data into recommendations for goods loading and delivery route planning. The system is designed by UI/UX components, frontend programming, and backend programming. "

"Tingginya angka putus sekolah dan rendahnya tingkat partisipasi sekolah pada jenjang pendidikan yang lebih tinggi mengindikasikan rendahnya peluang keberlanjutan tingkat pendidikan. Hal itu akan berdampak pada kualitas modal manusia. Dalam hal ini, peningkatan kualitas modal manusia melalui pendidikan dapat dimulai dari anak sebagai generasi yang akan berperan dalam pembangunan di masa depan. Beberapa penelitian menemukan bahwa pendidikan berkaitan dengan bargaining power ibu. Namun, penelitian-penelitian sebelumnya menggunakan proxy tidak langsung bargaining power ibu. Penelitian ini bertujuan untuk memberikan bukti empiris mengenai adanya keterkaitan antara bargaining power ibu dalam rumah tangga dan keberlanjutan tingkat pendidikan anak dengan proxy langsung ukuran bargaining power ibu. Penelitian ini menggunakan informasi mengenai pengambilan keputusan rumah tangga dari data IFLS 2000-2014 sebagai ukuran bargaining power ibu. Berdasarkan hasil estimasi menggunakan metode probit, penelitian ini menunjukkan bahwa bargaining power ibu yang dilihat dari keterlibatan ibu dalam berbagai keputusan tidak berkaitan signifikan dengan keberlanjutan tingkat pendidikan anak. Namun, untuk keputusan yang lebih spesifik pada pendidikan anak, bargaining power ibu memiliki keterkaitan yang signifikan dan positif.

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High dropout and low enrollment rates at higher levels of education indicate a low chance of continuing the level of education. It will have an impact on the quality of human capital. In this case, improving the quality of human capital through education can be initiated by children as a generation that will play a role in future development. Several studies have found that education is related to the mothers’ bargaining power. However, previous studies used an indirect proxy for the mothers' bargaining power. This study aims to provide empirical evidence regarding the relationship between the mothers' bargaining power in the household and the continuity of the children's education levels with a direct proxy for the mother's bargaining power. This study uses household decision-making information from IFLS 2000-2014 to measure the mothers' bargaining power. Based on the estimation results using the probit method, this study shows that the mother's bargaining power, as seen from the mother's involvement in various decisions, has no statistically significant relationship with the continuity of the children's education levels. However, for decisions more specific to children's education, the mother's bargaining power has a significant and positive relationship."

"[The most difficult part of making decisions in the health care field on all levels (national, regional, institutional, patient) is linked to the very complexity of the system itself, to the intrinsic uncertainty involved and its dynamic nature. This requires not only the ability to analyze and interpret a large amount of information but also arrange it so that it becomes a cognitive base for appropriate decision-making. Moreover, decisions in the health care field are subjected to many challenges and constraints: fast change and uncertain outcomes, aging population, increasing citizen expectations, equity considerations and limited resources. Operations research, statistical and economic-related quantitative methods supply these decisions making tools and methodology. The contributed book presents a collection of applications to concrete situations detailing the problem area, the methodology employed, the implementation and results. Each topic addressed in the book will be structured in such a way that an interdisciplinary and wide audience will be able to use the materials presented. As an example the book chapters will address health policies issues, planning health services, epidemiology and disease modelling, home-care modelling, logistics in health care, capacity planning, quality and appropriateness., The most difficult part of making decisions in the health care field on all levels (national, regional, institutional, patient) is linked to the very complexity of the system itself, to the intrinsic uncertainty involved and its dynamic nature. This requires not only the ability to analyze and interpret a large amount of information but also arrange it so that it becomes a cognitive base for appropriate decision-making. Moreover, decisions in the health care field are subjected to many challenges and constraints: fast change and uncertain outcomes, aging population, increasing citizen expectations, equity considerations and limited resources. Operations research, statistical and economic-related quantitative methods supply these decisions making tools and methodology. The contributed book presents a collection of applications to concrete situations detailing the problem area, the methodology employed, the implementation and results. Each topic addressed in the book will be structured in such a way that an interdisciplinary and wide audience will be able to use the materials presented. As an example the book chapters will address health policies issues, planning health services, epidemiology and disease modelling, home-care modelling, logistics in health care, capacity planning, quality and appropriateness.]"