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Pengembangan Pariwisata di Jakarta dalam Perspektif Sumber Daya Manusia Grace Amin; Filda Rahmiati; Yunita Ismail; Togar Simatupang; Dwi Larso; Norfaridatul Othman
Altasia Jurnal Pariwisata Indonesia Vol 2 No 2 (2020): Jurnal ALTASIA (Edisi Spesial Seminar Nasional Pariwisata)
Publisher : Program Studi Pariwisata - Universitas Internasional Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37253/altasia.v2i2.592

Abstract

Selain sebagai ibu kota negara Indonesia dan pusat perekonomian, Jakarta juga merupakan salah satu kota yang banyak dikunjungi turis lokal maupun mancanegara karena keanekaragaman wisata yang ditawarkan. Pengelolaan pariwisata dari berbagai aspek merupakan hal yang perlu diperhatikan oleh pemerintah. Penelitian ini bertujuan untuk menjelaskan peran penting manajemen sumber daya manusia dalam pengembangan pariwisata di Jakarta. Peneliti menggunakan metode deskriptif kualitatif dan tehnik purposive sampling dalam penelitian ini. Hasil interview dengan beberapa representative responden mendapatkan bahwa pengelolaan sumber daya manusia seperti dalam proses seleksi karyawan, peningkatan kompetensi, pelatihan serta sistem pengelolaan yang baik sangat dibutuhkan dalam rangka pengembangan dunia pariwisata di Jakarta.
Industry 4.0 Maturity Models to Support Smart Manufacturing Transformation: A Systematic Literature Review Akhmad Hadi Susanto; Togar Simatupang; Meditya Wasesa
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 7 No 2 (2023): April 2023
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v7i2.4588

Abstract

With increasing pressure to revitalize manufacturing industries with Smart Manufacturing capability within the Industry 4.0 (I4.0) context, companies have uneven readiness reflecting their gaps and barriers for transforming to the I4.0 state. Understanding factors and measuring a company’s maturity in addressing the I4.0 transformation is crucial to diagnose the company’s current condition and provide corresponding prescriptive action plan effectively. Despite the positive trend of maturity models for the industries, companies still face challenges with low I4.0 adoption rate. Designing a corresponding diagnostic framework into an intelligent maturity model will ultimately lead the company’s pathways toward the desired capabilities. In response, we systematically review and select the state-of-the-art research through a Systematic Literature Review (SLR) conduct to scrutinize the main characteristics of 14.0 Maturity Models. Subsequently, 35 exceptional articles published between 1980-2020 were selected for in-depth analysis of their structure, dimensions, and analytical features. Our analysis revealed the descriptive method have been widely used in many maturity models while few more-advanced prescriptive models design adopt fuzzy rule-base analytical hierarchy, knowledge based, Monte-Carlo methods, and even expert-system approaches. Furthermore, people, culture, organization, resources, information system, business processes, and smart technology, products and services have been treated as the popular evaluation dimensions which will define the state of an industry’s maturity level.
Excelling Green Supply Chain Management Practices Through Maturity Model: A Case Study of Fish 96 Company Siti Cahya Santini; Togar Simatupang
Asian Journal of Social and Humanities Vol. 3 No. 1 (2024): Asian Journal of Social and Humanities
Publisher : Pelopor Publikasi Akademika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59888/ajosh.v3i1.442

Abstract

This research aims to improve GSCM practices at Fish 96, an SME in tilapia aquaculture located in Bandung, West Java, Indonesia. It identifies and addresses some critical business issues regarding reducing the DOA rate, improving operational efficiency, and reducing environmental impacts. The literature review forms the theoretical basis of GSCM practices such as green procurement, manufacturing, distribution, and reverse logistics. A new GSCM maturity model is developed and validated with the case study of Fish 96, which eval_uates the company's current maturity levels and structured improvements. It assesses that Fish 96 stands at the initial stage in the journey of GSCM. Most practices are either nonexistent or at an initial point of implementation. The suggested maturity model includes five levels: Nonexistent, Aware, Intermediate, Advanced, and Sustainable, which represent a clear roadmap for Fish 96 to improve its GSCM performance. The research recommends adopting broad green practices across all supply chain dimensions, emphasising systematic strategies and enhanced supplier engagement by focusing on efficiency measures. With these recommendations, Fish 96 will contribute to reducing operational costs while reducing environmental impacts and improving social outcomes, thus improving the company's long-term sustainability and competitiveness.