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EVALUASI PROGRAM KAMPUNG KELUARGA BERKUALITAS (KB) DALAM MENINGKATKAN KESEJAHTERAAN KELUARGA MISKIN DI KELURAHAN PUNGGAWAN 2023
Jurnal Ilmu Administrasi Publik
Vol 13
, No 2
(2024)
The Surakarta City government's effort to reduce the impact of the population explosion and improve family welfare is through the Family Planning program, which is currently available in 22 sub district, one of which is Punggawan. This study purposes to describe and analyze the evaluation of the kampung keluarga berkualitas (KB) program in improving the welfare of poor families by the Surakarta City Government. The evaluation was conducted using William Dunn's theory. The research methodology us...
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Pengaruh Profitabilitas, Kebijakan Dividen, Perencanaan Pajak dan Beban Pajak Tangguhan Terhadap Manajemen Laba
Jurnal Ekonomi, Bisnis dan Manajemen (EBISMEN)
Vol 3
, No 3
(2024)
This study aims to analyze the factors that influence earnings management in banking companies listed on the Indonesia Stock Exchange. The Covid-19 pandemic has had a significant impact on the financial sector in Indonesia, causing a decrease in profitability, an increase in non-performing loans, and credit restructuring policies that affect company operations. In the face of these challenges, companies try to maintain a good image and investor satisfaction through earnings management. This stud...
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IoT Security Using Machine Learning Methods with Features Correlation
Journal of Computing Theories and Applications
Vol 2
, No 2
(2024)
The Internet of Things (IoT) is an innovative technology that makes our environment smarter, with IoT devices as an integral part of home automation. Smart home systems are becoming increasingly popular as an IoT service in the home that connects via a network. Due to the security weakness of many devices, the malware is targeting IoT devices. After being infected with malicious attacks on smart devices, they act like bots that the intruders can control. Machine learning methods can assist in im...
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Application of Tiny Machine Learning in Predicative Maintenance in Industries
Journal of Computing Theories and Applications
Vol 2
, No 1
(2024)
The continued advancements in Internet of Things (IoT) and Machine Learning (ML) technologies have led to their adoption in various domains including in industries for predictive maintenance among other applications. Given the resource constraints of IoT devices, they cannot process the resource-intensive ML algorithms hence data collected by the devices are first sent to the cloud where the algorithms are hosted for processing and inference with the results being sent back to the devices for ac...
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GROWING MOTIVATION FOR ACHIEVEMENT IN MEMBERS OF THE COMMUNITY OF SAMBIREMBE VILLAGE, KALIJAMBE DISTRICT, SRAGEN DISTRICT
The Community
Vol 1
, No 2
(2024)
The aim of youth organizations such as Karang Taruna is to provide a forum for the aspirations of society, especially the younger generation, and to foster a sense of social responsibility and concern for society as a whole. The ultimate goal is to improve social welfare for the younger generation.
Karang Taruna is a social organization that functions as a forum and means of growth for every member of society. This organization was founded on social awareness and responsibility by and for the co...
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Copyright issues for Artificial Intelligence Artworks in Strengthening Creative Industry 5.0: A US Comparison
Wacana Hukum
Vol 30
, No 1
(2024)
AI made human work easier in creating many things, like works of art. However, this is worrying for creators or owners. They are concerned about fulfilling exclusive rights to works of art. AI is part of technological developments that should be used as a tool for creators to create works of art. Therefore, clear boundaries are needed regarding how much AI can be used by creators as a tool in creating works of art so there is no reduction in the value of the creator's own efforts and creativity....
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Peran Media Sosial Sebagai Alat Komunikasi Pemasaran Berbasis Online Dalam Meningkatkan Penjualan Di Pasar Bersehati Kota Manado
Riani Senduk
; Yudith Rondonuwu
; Hartati Umar
; Imaculata Lamonge
; Michiko Londok
; Diana Wangania
CiDEA Journal
Vol 3
, No 1
(2024)
Online sales in Manado reflect the large number of Manadonese people who are interested in shopping online rather than going shopping in person to fulfill their needs and desires. The focus of the problem and aim of this research is to explain the role of social media as an online marketing communication tool in increasing sales of Pasar Bersehati. This research uses a qualitative approach which is a type of field research, by analyzing online buying and selling practices carried out by Bersehat...
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ANALISIS FAKTOR KESIAPSIAGAAN MASYARAKAT DALAM MENGHADAPI BENCANA TANAH LONGSOR DI DESA CANDIREJO SEMIN GUNUNGKIDUL
Nursing Science Journal
Vol 5
, No 1
(2024)
The Special Region of Yogyakarta, especially in Gunungkidul Regency in Candirejo Village, Semin District, there is the potential for a landslide disaster in November 2022 which causes 2 casualties and property damage. So it is important for residents to have preparedness in facing disasters in order to avoid casualties. The purpose of the study was to analyze community preparedness factors in facing landslide disasters. This study used a quantitative descriptive research design with a cross sect...
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ANALISIS RASIO KEUANGAN SEBAGAI ALAT MENGUKUR KINERJA KEUANGAN PADA PT. SEMEN BATURAJA (PERSERO)
Innovation, Theory & Practice Management Journal
Vol 3
, No 1
(2024)
Abstract :The financial performance of PT Semen Baturaja (Persero) for the period 2020-2022 needs to be evaluated to determine the effectiveness of management in managing the company's finances. The purpose of the study is to measure the financial performance of PT Semen Baturaja (Persero) through financial statement analysis over the period 2020, 2021, and 2022. This study uses various types of financial ratios such as Liquidity, Solvency, and Profitability. The research method used is qualitat...
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An Intelligent Telediagnosis of Acute Lymphoblastic Leukemia using Histopathological Deep Learning
Khan Tusar, Md. Taufiqul Haque
; Islam, Md. Touhidul
; Sakil, Abul Hasnat
; Khandaker, M N Huda Nahid
; Hossain, Md. Monir
Journal of Computing Theories and Applications
Vol 2
, No 1
(2024)
Leukemia, a global health challenge characterized by malignant blood cell proliferation, demands innovative diagnostic techniques due to its increasing incidence. Among leukemia types, Acute Lymphoblastic Leukemia (ALL) emerges as a particularly aggressive form affecting diverse age groups. This study proposes an advanced mechanized system utilizing Deep Neural Networks for detecting ALL blast cells in microscopic blood smear images. Achieving a remarkable accuracy of 97% using MobileNetV2, our...
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