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ANALISIS TINGKAT KESELAMATAN TOL CIKAMPEK – PALIMANAN (CIPALI) MENGGUNAKAN ROAD HAZARD MAPPING (RHM) Anita Juraida; Nova Indah Saragih; Ayu Endah Wahyuni; Iqbal Yulizar Mukti; Oktri Mohammad Firdaus
PROCEEDING STIMA PROCEEDING STIMA 2.0
Publisher : PROCEEDING STIMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (67.336 KB)

Abstract

The growth rate of four-wheeled vehicles in particular increased significantly each year. This is supported by several aspects of which increase people's purchasing power, the rate of population mobility is increasing, and they still lack the means of public transport that is safe, convenient and timely. Since 2015 the government has been operating new Toll Road from Cikampek to Palimanan (CIPALI) which aims to reduce number of congestion on the northern coast line, especially in the holiday season of Eid. This study aimed to analyze the level of safety Cipali toll road using a Road Hazard Mapping (RHM). The method used is a combination of direct observation data collection and analysis via Google Maps. The results of the study obtained a draft RHM which can be used as a reference for the driver before entering the Cipali toll both from Cikampek to Palimanan and vice versa.Keywords: safety driving, cipali, road hazard mapping (RHM)
Analisis Sentimen Dan Pemodelan Topik Terhadap Aplikasi Pembelajaran Online Pada Platform Google Play (Studi Kasus: Quipper) Gosal, Yose Thimothy; Oktariani Nurul Pratiwi; Iqbal Yulizar Mukti; Deden Witarsyah
Jurnal Ilmiah Komputasi Vol. 23 No. 4 (2024): Jurnal Ilmiah Komputasi : Vol. 23 No 4, Desember 2024
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32409/jikstik.23.4.3663

Abstract

Kemajuan teknologi informasi dan komunikasi pada era Industri 4.0 telah mengubah metode pengajaran di berbagai lembaga, termasuk melalui aplikasi e-learning seperti Quipper. Quipper memanfaatkan teknologi untuk mendukung pembelajaran. Analisis sentimen ulasan pengguna di Google Play diperlukan untuk memahami persepsi pengguna terhadap aplikasi ini. Penelitian ini menggunakan algoritma K-Nearest Neighbor (KNN) untuk klasifikasi sentimen dan Latent Dirichlet Allocation (LDA) untuk identifikasi topik utama dalam ulasan. Algoritma KNN, dipilih karena kesederhanaannya dan akurasi tinggi, menghasilkan akurasi 84.68%, precision 86.40%, recall 85.87%, dan F1-score 86.09% dengan nilai K terbaik 14. Sebagian besar ulasan bersifat positif (55.1%), menunjukkan kepuasan pengguna terhadap Quipper. Analisis LDA mengidentifikasi topik utama dari ulasan positif dan negatif, yang mengungkap aspek-aspek spesifik yang perlu diperbaiki oleh Quipper untuk meningkatkan kepuasan pengguna. Kata kunci: Analisis Sentimen, K-NN, LDA, Pemodelan Topik, dan Quipper
Strategi Pembangunan Desa Wisata untuk Peningkatan Kesejahteraan Masyarakat: Studi Kasus Desa Bi’ih, Kalimantan Selatan Mima Artamevia; Muharman Lubis; Iqbal Yulizar Mukti
Jurnal Ekonomi, Manajemen Pariwisata dan Perhotelan Vol. 5 No. 1 (2026): Januari: Jurnal Ekonomi, Manajemen Pariwisata dan Perhotelan
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jempper.v5i1.5614

Abstract

Tourism managed and developed by the local community is one of the main pillars in realizing sustainable rural economic development. This study aims to analyze the development strategy of Bi'ih Tourism Village, Banjar Regency, South Kalimantan, in improving community welfare through the integration of the Community-Based Tourism (CBT) concept and a digital approach. In this study, the method used is descriptive qualitative with primary data collection through interviews with the Village Head, BUMDes administrators, youth organizations, MSME actors, and local tourists, as well as secondary data from village profile documents and Tourism Office reports. The results of this study indicate that Bi'ih Village has opportunities in developing durian agrotourism and preserving Banjar culture, but still faces obstacles in terms of digital promotion, technological literacy, and information media management. The implementation of strategies that combine community participation, digital literacy training, and revitalization of village promotional media is expected to strengthen the image of the destination while increasing community income. The integration of CBT with Smart Tourism can create an inclusive, adaptive, and sustainable tourism management model. This research also provides implications for other villages in South Kalimantan to adopt a similar approach as an effort to strengthen the local economy based on digital innovation and cultural wisdom.