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Retrospective of IKN Nusantara Investment; Study of Apple Investment Curtailment: Technostructure of Indonesia and Vietnam HEPTARIZA, Anita; DARMAWAN, Andreas James; SIHWINARTI, Dwi; RAMAYU, I Made Satrya; ERAWATI, Kadek Nonik
Journal of Tourism Economics and Policy Vol. 4 No. 4 (2024): Journal of Tourism Economics and Policy (October - December 2024)
Publisher : PT Keberlanjutan Strategis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38142/jtep.v4i4.1147

Abstract

In the government's efforts to collect investment in IKN (National Capital City) Nusantara in Indonesia, technostructure; or advanced technological infrastructure is one of the crucial factors in attracting investment from global technology companies, but Indonesia still faces significant challenges in technostructure readiness compared to countries such as Vietnam, reflecting on the investment selection of technology company Apple. This study aims to analyze the current state of Indonesia's technostructure, compare it with Vietnam, and formulate what strategic steps are needed by the Indonesian government to develop a better technostructure in the next three decades. Using a descriptive qualitative method, this study collects purposive sampling-based data through literature studies, documentation, and other supporting data to provide an in-depth understanding of the technostructure conditions of the two countries. The discussion includes a detailed analysis of the state of Indonesia's technostructure and the challenges it faces. Then the study continues by comparing the technostructure readiness of Indonesia and Vietnam to highlight the strengths and weaknesses of each country, and the final stage details the strategic steps that the Indonesian government must take in the next three decades to achieve competitive technostructure readiness in Indonesia. This study concludes that it is important for Indonesia to accelerate the development of technostructure to increase the attractiveness of global technology investment, especially with open management.
Internet Service Provider User Customer Lifetime Segmentation Analysis using RFM and K-Means Algorithm Amri, Muhammad Febrian Rachmadhan; Umam, Mohamad Hafidhul; Wibowo, Arief; Ramayu, I Made Satrya
Sinkron : jurnal dan penelitian teknik informatika Vol. 8 No. 1 (2024): Articles Research Volume 8 Issue 1, January 2024
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v9i1.13024

Abstract

The characteristics of each customer can be segmented using RFM (Recency, Frequency, Monetary) which means customer's last transaction time, number of customer transactions, and amount of money spent. The Lifetime and K-Means methods are used to perform the process of clustering or grouping customers based on segmentation through RFM. The results will be divided into 4 clusters namely Gold, Silver, Platinum and Diamond. The results of clustering are visualized with graphs and cluster tables containing the results of segmentation and clusters or groups of From the results obtained from the previous stage, of the 104 customers in the Retail & Distribution Services (RDS) sector, 4 segments resulted in 43 customers with Platinum class, 39 customers with gold class, 14 customers with silver class, and 8 customers with platinum level. The most popular services services or product is high speed dedicated internet services, VPN IP package, and service network package as top 3 results. The largest amount of revenue services or product is transponder full time use services, support network and contact center application as top 3 results.
RANCANGAN SISTEM INFORMASI PERSEDIAAN STOK OBAT DENGAN METODE SYSTEM DEVELOPMENT LIFE CYCLE DI APOTEK NUSA FARMA NUSA PENIDA Ramayu, I Made Satrya
Jurnal Indonesia : Manajemen Informatika dan Komunikasi Vol. 4 No. 1 (2023): Januari
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jimik.v4i1.130

Abstract

The pharmacy data processing system is still managed traditionally, especially in the Nusa Penida area. The ledger records every transaction and piece of data. This is very inefficient because generating reports takes a lot of time and introduces a lot of errors, and negative things can happen if data is lost or corrupted. The scope of this research question is to design a pharmacy information system with the aim of facilitating data processing to provide more accurate and timely information in accordance with the expectations and needs of users in order to increase efficiency, improve work efficiency, and improve pharmacy services to customers. The system is designed to enable administrators to create transaction records, inventory reports, and other items in the pharmacy. In this study, the SDLC (System Development Life Cycle) methodology was used, and the system was made web-based using the MySQL database. Black box testing is used in this study. This pharmacy system architecture can process user data, account data, income transaction data, expenditure transaction data, and stock cards that can see expired and expired drugs and generate stock inventory reports.
Bisnis Model Digital “Weverse” Pada Kelompok Musik Korea Bts Pertiwi, Inten; Darmawan, Andreas James; Heptariza, Anita; Ramayu, I Made Satrya
SEIKO : Journal of Management & Business Vol 6, No 2.1 (2023)
Publisher : Program Pascasarjana STIE Amkop Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37531/sejaman.v6i2.5498

Abstract

The Korean music group BTS is the most historic group in the success of popularizing Korean culture in the packaging of boy bands. Behind this success, the BTS production and management house has adapted a lot of digital business models to meet the needs of their fans in the Weverse application. The purpose of this research is to make a study that explores the digital business model strategy carried out by BTS, in order to provide learning to develop a digital business model category for a local music group in the global market. The research method uses descriptive qualitative with an in-depth look at the Weverse application, both as social media, and as a marketplace specifically for their products; using literature data collection techniques, online media, and direct interaction with BTS fans in Indonesia. The results of this study are in the form of a Weverse digital business model framework, with various descriptions on application features, customer user access, and customer journeys. The research implications can be a guide for continuing ongoing research on similar topics, as well as having an impact on BTS fans in studying digital business models from a country's culture. Keywords: Digital Business Model, Weverse, BTS
AI-Driven Disruption in Retail and Education Featuring Chegg, Stack Overflow, RWS, and Duolingo Ramayu, I Made Satrya; Darmawan, Andreas James; Heptariza, Anita; Sihwinarti, Dwi
Indonesian Business Review Vol 8 No 1 (2025): Indonesian Business Review
Publisher : Universitas Prasetiya Mulya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21632/ibr.8.1.1-15

Abstract

The artificial intelligence (AI) revolution has brought significant disruption to the digital business industry, including the online retail education services sector. On the one hand, the application of AI in the corporate environment is often followed by a reduction in human labor. On the other hand, the use of AI by consumers challenges the existence of digital service companies, especially those engaged in online education. This research analyzes how business sustainability in this sector is not enough to adapt to AI, but needs to adopt AI strategically to create added value and stronger competitiveness. Through case studies on Chegg, Stack Overflow, RWS, and Duolingo; this research evaluates the impact of AI on business models, effective adaptation strategies, and growth opportunities amid the threat of disruption. The results show that companies that are able to integrate AI as part of product and service innovation are not only able to survive, but also have the potential to expand market share and create new trends in the online education industry.