Article Per Year (5 Year)
p-Index From 2021 - 2026
0.444
P-Index
This Author published in this journals
All Journal Indonesian Journal of Science, Technology, and Humanities Proceedings of The International Conference on Computer Science, Engineering, Social Sciences, and Multidisciplinary Studies
Silaban, Indra Marto
Unknown Affiliation
Religion Computer Science & IT Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Mathematics Social Sciences

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Simulation of Ad Hoc On-Demand Distance Vector Routing Protocol in Mobile Ad Hoc Networks Rahmadani; Silaban, Indra Marto; Safriadi, Safriadi
Indonesian Journal of Science, Technology and Humanities Vol. 2 No. 2 (2024): IJSTECH - October 2024
Publisher : PT. INOVASI TEKNOLOGI KOMPUTER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60076/ijstech.v2i2.906

Abstract

To simulate using a simulator made with a programming language and test the mobile ad hoc network system in the process of sending packets from the source node to the destination node in order to evaluate the stability of the routing protocol used. This research uses the Ad Hoc On-Demand Distance Vector (AODV) protocol which is expected to reduce the processing time (overhead) that often occurs in mobile ad hoc networks, because the routing table is not exchanged between nodes during the ad hoc mode process is taking place in the mobile ad hoc network so that it will speed up the packet delivery process. Tests were carried out by determining the number of different nodes and increasing starting from 5, 15, 25, 35 and 50 nodes, with a bandwidth of 2 Mbps, 1 Mbps packets and an area of 10x10 m2, then running the simulation process with a simulator with the Ad Hoc On-Demand Distance Vector (AODV) protocol. The test results show that the performance metric values on throughput and delay have good and stable performance in the mobile ad hoc network area
The Optimization of Instagram and TikTok Social Media to Help MSMEs Reach Generation Z Customers Silaban, Indra Marto; Sarif, Muhammad Irfan; Rambe, Rezkinah; Sitepu, Andri Ismail
Proceedings of The International Conference on Computer Science, Engineering, Social Science, and Multi-Disciplinary Studies Vol. 1 (2025)
Publisher : CV Raskha Media Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64803/cessmuds.v1.108

Abstract

Generation Z represents a strategic market segment for Micro, Small, and Medium Enterprises (MSMEs) due to their high digital engagement and purchasing potential. Instagram and TikTok have emerged as dominant social media platforms among Generation Z, emphasizing visual storytelling, short-form video, and interactive content. This study aims to analyze the optimization of Instagram and TikTok as digital marketing tools to help MSMEs effectively reach Generation Z customers. A qualitative descriptive approach was employed through systematic literature review and observational analysis of MSME social media practices. The findings indicate that content creativity, algorithm-oriented features utilization, posting consistency, and audience interaction significantly influence engagement rates and brand awareness among Generation Z users. Furthermore, authentic storytelling and trend-based content enhance purchase intention and customer trust. This research contributes by providing a structured digital marketing framework tailored for MSMEs targeting Generation Z through social media platforms. The results are expected to support MSME digital transformation and sustainable competitiveness in the digital economy
Co-Authors Rahmadani Rambe, Rezkinah Safriadi Safriadi, Safriadi Sarif, Muhammad Irfan Sitepu, Andri Ismail