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All Journal Al-Risalah : Jurnal Imu Syariah dan Hukum Jurnal Adabiyah Jurnal Noken: Ilmu-Ilmu Sosial BILANCIA JURNAL USM LAW REVIEW Kuriositas: Media Komunikasi Sosial dan Keagamaan Amsir Law Jurnal (ALJ) International Journal of Business, Law, and Education International Journal of Engineering, Science and Information Technology Batara Wisnu : Indonesian Journal of Community Services International Journal of Economics (IJEC) Jurnal Smart Hukum (JSH) DELICTUM : Jurnal Hukum Pidana Islam Journal Of Technology and Information System (J-TIS) West Science Social and Humanities Studies Management Studies and Business Journal Journal Of Sport Education, Coaching, And Health IPSIKOM Bilancia : Jurnal Studi Ilmu Syariah dan Hukum
Rasna, Rasna
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Religion Arts Humanities Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Neuroscience Physics Public Health Social Sciences Transportation Other

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Bibliometric Study on IoT Adoption in Smart Manufacturing: Trends, Challenges, and Opportunities Judijanto, Loso; Ali, Husain; Safii, M; Rasna, Rasna; Timotius, Elkana
West Science Social and Humanities Studies Vol. 3 No. 01 (2025): West Science Social and Humanities Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsshs.v3i01.1640

Abstract

This bibliometric study investigates the adoption of the Internet of Things (IoT) in smart manufacturing, examining the trends, challenges, and opportunities that have shaped this evolving field from 2000 to 2022. Utilizing data sourced exclusively from Scopus and analyzed through VOSviewer, the research identifies core themes, tracks their progression over time, and highlights the key contributors and collaborations across countries. The analysis reveals a significant shift from basic IoT applications towards more sophisticated integrations like machine learning, digital twins, and enhanced security protocols. The study also underscores the crucial role of international collaboration in advancing IoT research and addresses the pressing challenges such as interoperability, security concerns, and the workforce skills gap. Furthermore, it suggests future research directions, including the need for standardized IoT frameworks and the exploration of sustainable IoT practices. This study provides a comprehensive overview of the IoT landscape in manufacturing, offering insights into its future trajectory and the potential for transformative industry advancements.
Tourism Development Strategy to Improve Community Economy Post Covid 19 Pandemic Jaya, Rahmat; Suhaeb, M. Iqbal; Hidayat, Novit; Rasna, Rasna; Arifin, Herjuno Ariwibowo
International Journal of Economics (IJEC) Vol. 4 No. 1 (2025): January-June
Publisher : PT Inovasi Pratama Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55299/ijec.v4i1.1270

Abstract

This research aims to examine the possibility of a tourism development strategy in improving the community's economy after the Covid 19 pandemic. This research uses a qualitative method by conducting a literature study. This type of research is a type of research by presenting a collection of data from various literatures that are closely related to the side of the world tourism development strategy in improving the economic sector of the post Covid-19 pandemic community. The data taken can be in the form of scientific journals, books, articles and other sources of information relevant to the research topic. In the literature review research method, researchers usually carry out the process of searching and collecting data through various sources of information. After that, the collected data are analyzed and evaluated to support the formulation of hypotheses, theoretical frameworks, or conclusions in the research and then draw red threads and conclusions. The results of this study concluded that tourism is a very important sector for Indonesia, both in terms of economy and cultural promotion to foreign countries. To revive tourism in East Java after the COVID-19 pandemic. The East Java Provincial Government has made various efforts, including: tourism promotion strategies through public relations strategies, development of tourism destinations with various facilities, cooperation with public development, tourism, with a marine base.
Reconstruction of Criminal Law Policy in Handling Cyber Crime: Perspectives of Technology Law and Human Rights Hasnia, Hasnia; Hafiz, Asnal; Rasna, Rasna; Nurahman, Dwi; Parhusip, Jadiaman
Jurnal Smart Hukum (JSH) Vol. 3 No. 3 (2025): February-May
Publisher : Inovasi Pratama Internasional. Ltd

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55299/jsh.v3i3.1328

Abstract

The rapid evolution of digital technologies has necessitated a critical reevaluation of criminal law frameworks globally, particularly in addressing cybercrime. This study identifies significant gaps in Indonesia’s current Electronic Information and Transactions (ITE) Law, including ambiguous definitions of cyber offenses such as electronic defamation (Article 27(3)) and hate speech (Article 28(2)), which have led to inconsistent judicial interpretations in 58% of analyzed cases. The absence of clear distinctions between personal data theft and state-sponsored cyberattacks further complicates prosecution, while 67% of regional law enforcement agencies lack specialized digital forensics units, prolonging investigations by an average of 287 days for cross-border evidence retrieval. Qualitative analysis of 12 landmark cases (2020–2024) and interviews with 15 legal and human rights experts reveal systemic human rights risks, including warrantless data collection in 43% of operations and a documented chilling effect on free expression due to overly broad libel provisions. Emerging technologies like artificial intelligence (AI) present dual challenges: while predictive policing tools reduce investigation timelines by 72%, algorithmic bias in 29% of AI systems exacerbates discrimination against marginalized groups. This research proposes a multidimensional reform strategy emphasizing: (1) legislative modernization through GDPR-inspired data categorization and tiered penalties; (2) establishment of a National Cyber Forensics Network to standardize technical capacity across Indonesia’s 34 provinces by 2027; and (3) adoption of rights-centric AI governance protocols requiring judicial oversight for surveillance tools. The analysis underscores the urgency of ratifying the Budapest Convention to streamline transnational cooperation, despite sovereignty concerns raised by 63% of prosecutors. Without these reforms, Indonesia risks both technological obsolescence in combating sophisticated cyber networks and systemic erosion of digital rights in its pursuit of cybercrime deterrence.
SISTEM PAKAR DIAGNOSIS PENYAKIT KULIT HEWAN PELIHARAAN MENGGUNAKAN PENDEKATAN DEMPSTER-SHAFER Sah, Andrian; Septilia, Tiara Indah; Rasna, Rasna; Nurhayati, Siti; Jusmawati, Jusmawati; Tonggiroh, Mursalim; Widiyantoro, Muh. Riandi; Hakim, Jamaludin
Insan Pembangunan Sistem Informasi dan Komputer (IPSIKOM) Vol 12, No 2 (2024): DESEMBER 2024
Publisher : Universitas Insan Pembangunan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58217/ipsikom.v12i2.316

Abstract

Penyakit kulit pada hewan peliharaan merupakan permasalahan yang kompleks dengan berbagai jenis dan gejala yang sering kali sulit didiagnosis secara manual. Tantangan seperti kemiripan gejala antar penyakit, ketidakpastian data, dan biaya pengobatan yang tinggi menjadi hambatan bagi pemilik hewan dalam memberikan perawatan yang tepat. Oleh karena itu, tujuannya penelitian ini dilakukan yaitu mengembangkan sistem pakar berbasis metode Dempster-Shafer yang dirancang untuk menangani ketidakpastian dalam proses diagnosis. Sistem ini memungkinkan penggabungan informasi dari berbagai gejala yang diinput oleh pengguna untuk menghasilkan tingkat keyakinan yang akurat terhadap jenis penyakit tertentu. Sistem pakar yang dikembangkan berbasis website sehingga mudah diakses kapan saja dan di mana saja oleh pengguna. Sistem ini dirancang untuk membantu pemilik hewan mengenali gejala penyakit, mempercepat proses konsultasi, serta memberikan panduan awal terkait langkah perawatan yang diperlukan. Berdasarkan hasil pengujian menggunakan metode black box testing, seluruh fitur sistem berfungsi sesuai dengan spesifikasi yang dirancang. Hasil penelitian menunjukkan bahwa sistem ini mampu memberikan hasil diagnosis, serta rekomendasi perawatan yang relevan, sehingga layak digunakan sebagai alat bantu dalam mendiagnosis penyakit kulit pada hewan peliharaan.
Co-Authors Abd Rahman Abdillah Abdul Rahman Sakka Abdul Razak Aderus, Andi Fadhil Andi Adyanata Lubis Agus Sugiharto Ahmad Nur Budi Utama Alexius Ulan Bani Ali, Husain Aminuyati Anwar, Alfiansyah Ariffien, Afferdhy Arifin, Herjuno Ariwibowo Baso Pallawagau Dahlan Abdullah Deddy Junaedi Dwi Nurahman, Dwi Eka Setiawati Erwin Hafid, Erwin Fifto Nugroho Ghaniy, Rajib Hafiz, Asnal Hakim, Jamaludin Hammado, Nurussyariah hasnia, Hasnia Heri Fajri, Heri Hidayat, Novit Irjii Matdoan, Moh Rahmat Irjii Matdoan, Moh. Rahmat Ismail, Rima Ruktiari J, Fitria Jadiaman Parhusip, Jadiaman Jamaluddin Jamaluddin Jaya, Rahmat Judijanto, Loso Jufri, Moh Jusmawati Jusmawati, Jusmawati Kasim, Amrah Khusnul Syam, Muhammad KN, Nurwijayanti Kumala Dewi, Nurlaela La Ode Ismail Ahmad, La Ode Ismail Lamsir, Seno Marlina, Andi Matdoan, Irjii Matdoan, Moh. Rahmat Irjii Muhamad Taher Jufri Muhammad Ichsan Mutia, R. Dewi Nur Hidaya Nur Hidayat, M. Ali Nur, Muhammad Awal Pababbari, Musafir Prasiwiningrum, Elyandri Putu Doddy Heka Ardana Qurrotul Aini Rosiana Dewi, Ni Wayan Emmy Safii, M Sah, Andrian Sahlan M Saleh Salat, Junaidi Santioso, Lucy Lidiawati Sasmitha, Emdj Riesky Septilia, Tiara Indah Septyana Prasetianingrum Siti Nurhayati Sitti Asiqah Usman Ali, Sitti Asiqah Usman Suci, Purnama Suhaeb, M. Iqbal Sukri, Indah Fitriani Supriaddin, Nofal Suryadi, Dikky Tenriawaru, Andi Nurlaily Thalib, Abdullah Timotius, Elkana Tonggiroh, Mursalim Widiyantoro, Muh. Riandi Widiyantoro, Riandi Yuntina, Lily