Perlindungan Hukum Terhadap Investor Di Sektor Pariwisata

Increasing investment in the tourism sector is one of the government's focuses, considering that the tourism sector has charm and is also supported by the geographical conditions of Indonesia, which has extraordinary natural resources that can attract tourists to visit Indonesia. To increase the interest of tourists in dating, facilities need forgiving, and building and increasing this requires significant capital from foreign and domestic investors. This study uses normative research methods to analyze the legal aspects of investment in the tourism sector and the legal protection of investors in the tourism sector. The study's results found that it was regulated in Law Number 25 of 2007 concerning Investment. However, it must synergize with the principles in Article 5 of Law Number 10 of 2009 concerning tourism and the principles of implementing investment activities in the tourism business sector subject to the General Agreement on Trade in Services (GATS) provisions. The legal protection of investors in the tourism sector is similar to legal protection for other investors with preventive legal protection.Peningkatan investasi di bidang pariwisata menjadi salah satu fokus pemerintah, mengingat sektor pariwisata memiliki pesona dan juga didukung oleh kondisi geografis Indonesia yang memiliki sumber daya alam yang luar biasa mampu menarik wisatawan untuk berkunjung ke Indonesia. Untuk meningkatkan minat wisatawan dalam berwisata, fasilitas perlu ditingkatkan, dan membangun serta meningkatkannya membutuhkan modal yang signifikan dari investor asing dan domestik. Penelitian ini menggunakan metode penelitian normatif untuk menganalisis aspek hukum penanaman modal di bidang pariwisata dan perlindungan hukum terhadap investor di bidang pariwisata. Hasil kajian menemukan bahwa hal itu diatur dalam Undang-Undang Nomor 25 Tahun 2007 tentang Penanaman Modal. Namun harus bersinergi dengan asas dalam Pasal 5 Undang-Undang Nomor 10 Tahun 2009 tentang Kepariwisataan dan asas penyelenggaraan kegiatan penanaman modal di bidang usaha pariwisata yang tunduk pada ketentuan General Agreement on Trade in Services (GATS). Perlindungan hukum bagi investor di bidang pariwisata sama dengan perlindungan hukum bagi investor lainnya dengan perlindungan hukum preventif

Extending an Indonesian Semantic Analysis-based Question Answering System with Linguistic and World Knowledge Axioms

PACLIC / The University of the Philippines Visayas Cebu College Cebu City, Philippines / November 20-22, 200

UPAYA CORPORATE BRANDING KEMENTERIAN BUMN MELALUI KONTEN MEDIA SOSIAL TIKTOK

Penelitian ini membahas mengenai Upaya Corporate branding yang dilakukan oleh Kementerian BUMN melalui konten media sosial Tiktok. Kementerian BUMN menggunakan media sosial “Tiktok” sebagai media informasi dan sosialisasi dari program yang dilakukan Kementerian BUMN, saat ini akun Tiktok resmi Kementerian BUMN saat ini telah memiliki kurang lebih 41 ribu pengikut dan di sukai sekitar 460 ribu orang. Maka peneliti merumuskan masalah penelitiannya sebagai berikut: “Bagaimana bentuk upaya branding Kementerian melalui konten media Tiktok?”. Adapun tujuan dari penelitian ini yakni untuk mengetahui Upaya Corporate branding yang dilakukan oleh Kementerian BUMN melalui konten media sosial Tiktok. Pada penelitian ini peneliti menggunakan teori digital branding khususnya elemen Digital branding menurut Deniel. Metodologi penelitian yang peneliti gunakan yakni kualitatif dengan metode netnografi menggunakan teknik pengumpulan data wawancara, observasi, dan Dokumentasi. Hasil penelitian didapatkan bahwa Kementerian BUMN telah melakukan upaya corporate branding Kementerian BUMN melalui konten sosial media Tiktok berdasarkan dengan kegiatan digital branding yang mengacu pada 3 elemen digital branding menurut Deniel yaitu Brand positioning, brand identity, dan brand personality. Kata Kunci : Corporate Branding, tiktok, Kementerian BUM

Gender Prediction of Indonesian Twitter Users Using Tweet and Profile Features

The increasing use of social media generates huge amounts of data which in turn triggers research into social media analytics. Social media contents can be analyzed to explore public opinion on an issue or provide the insights reflecting proxy indicators towards real-world events. Understanding the demographics of social media users can increase the potential for applications of sentiment analysis, topic modeling, and other analytical tasks. To map demographics, we need to know the latent attributes of users, such as age, gender, occupation and location of residence. Since this attribute is not directly available, we need to do some inference from the social media data. This study aims to predict the gender attribute given a Twitter user account. We conducted experiments with several supervised classifiers with feature extraction, including the use of word embedding representations. The results of this study indicate that the combination of features extracted from Tweet contents and user profile structured data can predict the gender of Twitter users in Indonesia with accuracy above 80%

The Utilazation of Fisherman Catch for Nugget Product

The fisheries sector is essential for the nourishment for marine life of coastal communities, use of fishery resources into livelihood of fishermen. In connection with that, this activity aims to increase the sale value of shrimp through counseling activities shrimp nuggets processing and product diversification. The method used is counseling and mentoring activities to produce diversified products which are followed by partner groups, especially women and housewives, as well as surrounding communities who have the desire to become entrepreneurs. The result is processed into products such as nuggets. The conclusion is that the shrimp commodity has a profitable business opportunity by increasing the selling price, so that it can increase the income of the community in the Kroman Village, Gresik District, Gresik Regency

MultiLexNorm: A Shared Task on Multilingual Lexical Normalization

Lexical normalization is the task of transforming an utterance into its standardized form. This task is beneficial for downstream analysis, as it provides a way to harmonize (often spontaneous) linguistic variation. Such variation is typical for social media on which information is shared in a multitude of ways, including diverse languages and code-switching. Since the seminal work of Han and Baldwin (2011) a decade ago, lexical normalization has attracted attention in English and multiple other languages. However, there exists a lack of a common benchmark for comparison of systems across languages with a homogeneous data and evaluation setup. The MultiLexNorm shared task sets out to fill this gap. We provide the largest publicly available multilingual lexical normalization benchmark including 13 language variants. We propose a homogenized evaluation setup with both intrinsic and extrinsic evaluation. As extrinsic evaluation, we use dependency parsing and part-of-speech tagging with adapted evaluation metrics (a-LAS, a-UAS, and a-POS) to account for alignment discrepancies. The shared task hosted at W-NUT 2021 attracted 9 participants and 18 submissions. The results show that neural normalization systems outperform the previous state-of-the-art system by a large margin. Downstream parsing and part-of-speech tagging performance is positively affected but to varying degrees, with improvements of up to 1.72 a-LAS, 0.85 a-UAS, and 1.54 a-POS for the winning system