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"Penggunaan container pada arsitektur microservice merupakan sebuah pendekatan yang dapat digunakan untuk mempermudah proses delivery sistem. Container dalam sistem pun lebih mudah diatur dengan Kubernetes sehingga sistem dapat berjalan secara seamless. Hal tersebut memungkinkan deployment sistem yang cepat dan portable. Salah satu strategi deployment yang dapat digunakan untuk men-deploy sistem yang menggunakan container pada arsitektur microservice adalah canary deployment, dimana sebagian traffic diarahkan ke sekelompok kecil pengguna terlebih dahulu untuk menguji aplikasi di production. Pada dasarnya, canary deployment dapat dilakukan secara native dengan Kubernetes, namun cara ini masih memiliki masalah, yaitu traffic distribution dan replica deployment yang tidak independen. Salah satu solusi yang dapat dilakukan untuk memecahkan masalah tersebut adalah dengan menggunakan service mesh. Hal ini dikarenakan service mesh memiliki fitur traffic management yang dapat melakukan intelligent routing untuk melakukan canary deployment. Isu independensi ini memengaruhi proses deployment dan kebutuhan bisnis, dimana dengan menggunakan service mesh, jumlah replika pods yang digunakan untuk men-deploy aplikasi tidak berubah bagaimanapun aturan traffic routing-nya. Hal ini berbeda dengan sistem yang tidak menggunakan service mesh, dimana jumlah replika pods-nya berubah-ubah menyesuaikan aturan traffic routing yang telah ditentukan. Tanpa service mesh, rasio replika pods perlu diatur secara manual dengan konfigurasi yang redundan. Di sisi lain, konfigurasi sistem dengan service mesh mudah diatur dengan memanfaatkan fitur-fitur yang disediakan oleh service mesh itu sendiri, khususnya fitur traffic management. Selain itu, penggunaan service mesh dalam proses canary deployment pada aplikasi berbasis Kubernetes juga dapat membuat proses deployment menjadi lebih efisien dalam jumlah resource (pods).

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The use of containers in the microservice architecture is an approach that can be used to simplify the system delivery process. Containers in the system are also easier to manage with Kubernetes so that the system can run seamlessly. This allows for fast and portable system deployment. One deployment strategy that can be used to deploy systems that use containers on a microservices architecture is canary deployment, where some traffic is directed to a small group of users first to test the application in production. Basically, canary deployment can be done with Kubernetes natively, but this method still has problems, namely traffic distribution and replica deployment which are not independent. One solution that can be done to solve this problem is to use a service mesh. This is because the service mesh has a traffic management feature that can perform intelligent routing to perform canary deployments. This independence issue affects the deployment process and business needs, where by using a service mesh, the number of replica pods used to deploy applications does not change regardless of the traffic routing rules. This is different from a system that does not use a service mesh, where the number of replica pods varies according to predetermined traffic routing rules. Without a service mesh, the ratio of pod replicas needs to be set manually with redundant configurations. On the other hand, system configuration with service mesh is easy to manage by utilizing the features provided by the service mesh itself, especially the traffic management feature. In addition, the use of service mesh in the canary deployment process for Kubernetes-based applications can also make the deployment process more efficient in terms of the number of resources (pods)."

"Interaksi manusia di era yang modern ini dapat dilakukan secara virtual atau melalui media sosial dan platform jejaring sosial. Social networking sites adalah layanan yang memungkinkan pengguna membuat profil publik, berkomunikasi, dan membentuk koneksi dengan orang lain, serta memelihara hubungan dengan orang lain. Twitter adalah salah satu platform media sosial populer, dengan 550 juta pengguna di seluruh dunia. Twitter dikategorikan sebagai situs mikroblog karena kemampuannya dalam memberikan informasi dan interaksi interaktif antar pengguna. Media sosial terutama Twitter juga dapat berdampak pada well-being masyarakat terutama generasi muda salah satunya mahasiswa. Penelitian ini bertujuan untuk mengetahui variabel-variabel yang memengaruhi intensitas penggunaan Twitter, menganalisis profil intensitas penggunaan Twitter mahasiswa aktif di Jakarta, Bogor, Bekasi dan Depok sebagai generasi Z dan menganalisis peran variabel demografi sebagai variabel moderator terhadap hubungan antara variabel independen dengan variabel dependen. Variabel laten yang akan dianalisis adalah intensitas penggunaan Twitter, subjective well-being, psychological well-being, social well-being dan self disclosure. Variabel demografi yang akan dianalisis adalah jenis kelamin, tempat tinggal, asal perguruan tinggi, asal fakultas, tingkat pendapatan, usia, pekerjaan ibu, pekerjaan ayah dan asal SMA. Peneliti menggunakan teknik analisis Partial Least Square, Classification and Regression Tree dan Multi-Group Analysis Partial Least Square dalam penyelesaian masalah penelitian, serta bootstrap untuk mengevaluasi inner model. Data yang digunakan adalah data primer yaitu sebanyak 520 mahasiswa di Jakarta, Bogor, Bekasi dan Depok angkatan 2020, 2021, 2022 dan 2023 yang aktif pada tahun akademik 2023/2024 semester ganjil. Pengambilan sampel dilakukan menggunakan teknik purposive sampling. Hasil dari penelitian ini adalah variabel variabel laten psychological well-being, social well-being dan self disclosure memengaruhi intensitas penggunaan Twitter rendah adalah mahasiswa dengan self disclosure rendah dan psychological well-being tinggi. Variabel demografi jenis kelamin, tempat tinggal, asal perguruan tinggi, asal fakultas, tingkat pendapatan, usia, pekerjaan ibu, pekerjaan ayah dan asal SMA menjadi variabel moderator.

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In the modern era, human interaction can be conducted virtually or through social media and social networking platforms. Social networking sites are services that allow users to create public profiles, communicate, form connections with others, and maintain relationships. Twitter is one of the popular social media platforms, with 550 million users worldwide. Twitter is categorized as a microblogging site due to its ability to provide information and interactive communication among users. Social media, especially Twitter, can impact the well-being of society, particularly the younger generation, including students. This research aims to understand the variables influencing the intensity of Twitter usage, analyze the usage profiles of active student Twitter users in Jakarta, Bogor, Bekasi and Depok as part of Generation Z, and examine demographic variables as moderators in the relationship between independent and dependent variables. The latent variables to be analyzed include the intensity of Twitter usage, subjective well-being, psychological well-being, social well-being, and self disclosure. The demographic variables to be analyzed include gender, place of residence, university name, faculty of origin, income level, age, mother's occupation, father's occupation, and high school of origin. The researcher employs the Partial Least Square, Classification and Regression Tree, and Multi-Group Analysis Partial Least Square techniques to address the research questions, along with bootstrap for evaluating the inner model. The data used consist of primary data from 520 students in Jakarta, Bogor, Bekasi and Depok from the 2020, 2021, 2022, and 2023 cohorts who were active in the academic year 2023/2024, odd semester. Sampling was done using purposive sampling. The results indicate that the latent variables of psychological well-being, social well-being, and self disclosure significantly influence the intensity of Twitter usage. Students with high Twitter usage intensity tend to have high self disclosure and low social well-being, while those with low Twitter usage intensity have low self disclosure and high psychological well-being. Demographic variables such as gender, place of residence, university name, faculty of origin, income level, age, mother's occupation, father's occupation, and high school of origin serve as moderator variables."

"Numerical computation, knowledge discovery and statistical data analysis integrated with powerful 2D and 3D graphics for visualization are the key topics of this book. The Python code examples powered by the Java platform can easily be transformed to other programming languages, such as Java, Groovy, Ruby and BeanShell. This book equips the reader with a computational platform which, unlike other statistical programs, is not limited by a single programming language.The author focuses on practical programming aspects and covers a broad range of topics, from basic introduction to the Python language on the Java platform (Jython), to descriptive statistics, symbolic calculations, neural networks, non-linear regression analysis and many other data-mining topics. He discusses how to find regularities in real-world data, how to classify data, and how to process data for knowledge discoveries. The code snippets are so short that they easily fit into single pages.Numeric Computation and Statistical Data Analysis on the Java Platform is a great choice for those who want to learn how statistical data analysis can be done using popular programming languages, who want to integrate data analysis algorithms in full-scale applications, and deploy such calculations on the web pages or computational servers regardless of their operating system. It is an excellent reference for scientific computations to solve real-world problems using a comprehensive stack of open-source Java libraries included in the DataMelt (DMelt) project and will be appreciated by many data-analysis scientists, engineers and students."

"Indonesia merupakan negara yang cukup aktif terlibat dalam berbagai forum kerjasama internasional. Salah satunya adalah dengan mengikuti South-South and Triangular Cooperation (SSTC), yakni sebuah kerangka kerjasama di bidang politik, ekonomi, sosial, budaya dan teknis yang diikuti oleh minimal dua negara berkembang (atau lebih) dan satu negara maju. Guna mendukung program SSTC tersebut, pemerintah kemudian membentuk National Coordination Team on SSTC Government of Indonesia (NCT). Dalam implementasinya, National Coordination Team on SSTC hingga kini belum menampakkan hasil memuaskan karena kurangnya koordinasi antar Kementerian yang ada di dalamnya. Alhasil program kerjasama yang ada selama ini masih bersifat terpisah, tidak berkelanjutan dan belum menunjukkan dampak optimal / signifikan bagi kemajuan Indonesia. Salah satu cara dalam mempermudah koordinasi di dalam NCT adalah membuat suatu sistem informasi terintegrasi untuk men-support/mendukung proses kerjasama. Penelitian ini berusaha untuk merancang software sistem informasi yang terintegrasi guna mendukung program SSTC (South-South and Triangular Cooperation) di Indonesia dengan menggunakan RUP (Rational Unified Process). Hasil penelitian akan disajikan dalam bentuk draft spesifikasi sistem yang siap menjadi desain awal sebuah software. Diharapkan dengan pengimplementasian software sistem informasi ini, program-program kerjasama yang dilakukan Indonesia dapat saling terintegrasi, berkelanjutan dan membawa dampak optimal bagi kemajuan bangsa.

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In international society, Indonesia is one of the country that quite active involved in international cooperation forums. One of them is South-South and Triangular Cooperation (SSTC), a new cooperation framework in political, economic, social, cultural and technical area between at least 2 (or more) developing countries and one developed country. In order to support this program (SSTC), Government of Indonesia formed National Coordination Team on SSTC. In its implementation, the National Coordination Team on SSTC have not shown satisfactory results due to the lack of coordination among the Ministry in it. As a result the cooperation programs that exist today mostly not connected each other, not sustainable, and not demonstrated maximum impact for Indonesia.

One of the ways to make coordination in NCT easier is create an integrated information system that supports all of cooperation process. This research try to design an integrated information system software that can support SSTC program in Indonesia, using RUP (Rational Unified Process) theory.

The results of this research will be presented as a draft of system specification, and ready to use as an initial design of a software. With the implementation of integrated information system software, we expect that all cooperation programs which conducted by Indonesia can connected each other, sustainable, and bring maximum impact for Indonesian progress. "