Trading transactions that were originally conventional began to change to the digital economy along with developments technology and the industrial era which is starting to enter the 4.0 era. Scheme E-commerce transactions between buyers and sellers occur through a digital platform, which is assisted by courier services. Revolution Industry 4.0 where every industrial activity will be integrated by IoT, Big data and cloud. With a SWOT analysis consisting of the four components namely Strength, Weakness, Opportunity, Threats will outline the points and analyse the growth of the world of E-commerce in the future industrial era 4.0 expected to open up new business opportunities for the younger generation in particular.

The use of load balance on a network will be very much needed if the network is an active network and is widely accessed by users. A reason is that it allows network imbalances to occur. Round Robin (RR) algorithm can be applied for network load balancing because it is a simple algorithm to schedule processes so that it can provide work process efficiency. Authors use the Systematic Literature Review (SLR) method in which it can be applied for criteria selection during papers search to match the title being raised. SLR is divided into five stages, namely formalization of questions, criteria selection, selection of sources, selection of search results, and quality assessment. By using SLR, it is expected that papers according to criteria and quality can be found.

Bisnis Start-up semakin tumbuh dan berkembang di berbagai daerah di Indonesia, tidak terkecuali di Jabodetabek. Dari bisnis Start-up dapat menghasilkan berbagai platform atau aplikasi yang diminati konsumen, seperti marketplace pada E-commerce. Jabodetabek merupakan daerah dengan tingkat pertumbuhan Start-up tertinggi sebanyak 522 Start-up, yang mayoritas berasal dari kota Jakarta. Penggunaan metode Markov chain untuk memprediksi pertumbuhan dengan melakukan perhitungan matriks transisi probabilitas, serta menghitung probabilitas keadaan sampai diperoleh keadaan Steady state yang merupakan data acuan untuk hasil prediksi pertumbuhan Start-up di Jabodetabek di 5 tahun berikutnya.

Kejahatan digital yang semakin beragam menuntut Tim ahli forensik untuk meningkatkan pengetahuan dalam pengungkapan kasus didalam dunia digital. Teknik audio forensik merupakan bagian dari ilmu digital forensik, yang lebih fokus pada analisa suara serta berbagai manipulasi didalamnya yang harus dapat dibuktikan di persidangan. Salah satu tantangan yang dihadapi dalam mengungkap kejahatan melalui audio yaitu adanya manipulasi suara yang berbeda dengan suara sumber atau pelaku. Analisa yang dilakukan menggunakan rekaman suara laki-laki yang terdiri dari 20 kata dan dilakukan manipulasi dengan menaikkan speed audio sebesar 20%. Metode yang digunakan yaitu dengan membandingkan hasil analisa Picth, Formant, dan Spectogram dari suara asli dan suara yang dimanipulasi. Hasil analisis perbandingan satistik Pitch, formant, spectogram  menunjukkan bahwa terdapat perbedaan nilai dan range dari suara barang bukti dan suara subjek. Analisa statisik dilakukan dengan teknik One Way Annova menyatakan bahwa kedua suara rekaman tersebut Tidak Identik. Makalah ini diharapkan dapat menambah wawasan bagi Tim forensik untuk melakukan analisa lebih lanjut terhadap barang bukti yang sudah dimanipulasi.

Digital forensic technology is currently advancing along with the demands to uncover various crimes using technology. Memory Forensic is one of the investigative fields in digital forensics. We use the Systematic Literature Review method to identify the developments and challenges of Forensic Memory in identifying digital crimes, analyzed from various reference papers according to the Include and Exclude Criteria and based on the specified Research Question. Authors chose from 30 reference journals from 3 online journal databases namely IEEE Explore, Sciencedirect, and Springer with themes related to forensic memory based on certain criteria for further review to determine the development of digital crime. The results of the SLR that we convey are the result of a study related to the use of Memory Forensic in identifying various digital attacks and challenges faced in the future.