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All Journal Jurnal Teknik Informatika (JUTIF) Collegium Studiosum Journal
Setianingsih, Susi
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Humanities Computer Science & IT Law, Crime, Criminology & Criminal Justice

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ANALISIS YURIDIS PEMBANGUNAN INFRASTRUKTUR PERDESAAN DALAM MENINGKATKAN KESEJAHTERAAN MASYARAKAT DI DESA PETIR KECAMATAN PURWANEGARA KABUPATEN BANJARNEGARA Setianingsih, Susi; Indriati Amarini
Collegium Studiosum Journal Vol. 6 No. 2 (2023): Collegium Studiosum Journal
Publisher : LPPM STIH Awang Long

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56301/csj.v6i2.1045

Abstract

This research is titled "Juridical Analysis of Rural Infrastructure Development in Improving the Welfare of the Community in Petir Village, Purwanegara Subdistrict, Banjarnegara Regency." The aim of this research is to analyze the role of the village government in rural infrastructure development and identify the factors influencing development in Petir Village. The research method employed is a normative juridical legal research with a literature study approach. Data analysis is conducted qualitatively, referring to Law Number 6 of 2014 concerning Villages and the 1945 Constitution of the Republic of Indonesia. The results of the research indicate that, in accordance with Law Number 6 of 2014, the village government has the primary responsibility for implementing development in its area. The infrastructure development program in Petir Village focuses on concrete paving, road casting, asphalt road construction, and drainage, selected through village deliberations. Despite ongoing development, there are still challenges such as unsupportive road terrain, the remote location of the village, and weather uncertainty affecting the smooth progress of development. Supporting factors for rural infrastructure development involve the participation and active involvement of the Petir Village community in every stage of development. Meanwhile, inhibiting factors include geographic constraints and weather conditions that force development delays. This research provides a comprehensive overview of the efforts of the village government in addressing national development disparities through rural infrastructure development. The implications of the research findings can serve as a basis for policy improvement and development strategy at the village level, particularly in Petir Village, to enhance community welfare.
ANALISIS YURIDIS PEMBANGUNAN INFRASTRUKTUR PERDESAAN DALAM MENINGKATKAN KESEJAHTERAAN MASYARAKAT DI DESA PETIR KECAMATAN PURWANEGARA KABUPATEN BANJARNEGARA Setianingsih, Susi; Indriati Amarini
Collegium Studiosum Journal Vol. 6 No. 2 (2023): Collegium Studiosum Journal
Publisher : LPPM STIH Awang Long

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56301/csj.v6i2.1045

Abstract

This research is titled "Juridical Analysis of Rural Infrastructure Development in Improving the Welfare of the Community in Petir Village, Purwanegara Subdistrict, Banjarnegara Regency." The aim of this research is to analyze the role of the village government in rural infrastructure development and identify the factors influencing development in Petir Village. The research method employed is a normative juridical legal research with a literature study approach. Data analysis is conducted qualitatively, referring to Law Number 6 of 2014 concerning Villages and the 1945 Constitution of the Republic of Indonesia. The results of the research indicate that, in accordance with Law Number 6 of 2014, the village government has the primary responsibility for implementing development in its area. The infrastructure development program in Petir Village focuses on concrete paving, road casting, asphalt road construction, and drainage, selected through village deliberations. Despite ongoing development, there are still challenges such as unsupportive road terrain, the remote location of the village, and weather uncertainty affecting the smooth progress of development. Supporting factors for rural infrastructure development involve the participation and active involvement of the Petir Village community in every stage of development. Meanwhile, inhibiting factors include geographic constraints and weather conditions that force development delays. This research provides a comprehensive overview of the efforts of the village government in addressing national development disparities through rural infrastructure development. The implications of the research findings can serve as a basis for policy improvement and development strategy at the village level, particularly in Petir Village, to enhance community welfare.
DESMOCAM (DETECTION SMOKING CAMERA): INTEGRATION OF IOT AND MACHINE LEARNING FOR ACTIVE SMOKER DETECTION TO SUPPORT SMART CITIES IN INDONESIA Abdillah, Annas; Nayu, Balqist Kharisma; Setianingsih, Susi; Hidayat, Galih B.; Ahmad, Tuhfa R.
Jurnal Teknik Informatika (Jutif) Vol. 5 No. 4 (2024): JUTIF Volume 5, Number 4, August 2024 - SENIKO
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2024.5.4.2181

Abstract

Cigarettes are an addictive substance that kills around 8 million people every year, as of 2022 there will be around 8,67 million deaths in the world caused by cigarettes and other tobacco products with resulting economic losses of around 2 trillion USD. Efforts to reduce losses due to smoking in Indonesia have been implemented through various regulations and rules that have been established, such as Law Number 36 of 2009 Article 115 concerning non-smoking areas. The target for non-smoking areas (NSA) regulations in Indonesia will reach 100% by 2023. However, currently, only 86% of regions have NSA regulations and must continue to monitor and evaluate through regulations set by the government. One solution to emphasize non-smoking areas with the latest technology connections to support Smart City is a smoke detection system using IoT. DesMoCam (Detection Smoking Camera) applies the latest machine learning model, InceptionResNet2, which has high accuracy and has the ability to detect smokers precisely in a Non-Smoking Area (NSA). DesMoCam uses a Raspberry Pi with ESP32-CAM to capture situations in a smoking-free room and warnings through the speaker. Machine learning modeling includes data acquisition with smoking and non-smoking images, data preprocessing, two-way modeling with and without a freeze layer, and analysis of model results. The InceptionResnet2 model used for image identification and classification, achieved an accuracy of 92.75%.
Co-Authors Abdillah, Annas Ahmad, Tuhfa R. Hidayat, Galih B. Indriati Amarini Nayu, Balqist Kharisma