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IMPLEMENTASI PERATURAN DAERAH NOMOR 8 TAHUN 2012 TENTANG PAJAK PARKIR DALAM SISTEM OPTIMALISASI PENDAPATAN ASLI DAERAH SANGATA Budi Yanto
Journal of Law ( Jurnal Ilmu Hukum ) Vol 4, No 1 (2015)
Publisher : Universitas 17 Agustus 1945 Samarinda

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AbstractThe presence of the baby into a most beautiful gift in the world that is felt for many married couples. With the presence of the baby will certainly add to the completeness and perfection in our lives. But what would happen if at a wedding who stepped in first, second to third but has not given the baby.The distribution of inheritance is generally not done secra formal, but with the deliberations witnessed by village officials. By way of deliberation is intended that all issues can be resolved by peaceful means. In talking about the division of inheritance is one thing that will not be missed is the talk about everything pertaining to the rights and obligations of the heir or adopted children.Therefore, the adoption of a child act in Indonesia more and more people do, then the need for immediate formulation of laws concerning the adoption of a child. This is necessary so that the uniformity and no differences primarily related to inheritance for adopted children conducted by the adoptive parents.

Perancangan Aplikasi Pembelajaran Seni Budaya Tembang Macapat Berbasis Android Hendrik Rusdian Arifudin; Budi Yanto
DoubleClick: Journal of Computer and Information Technology Vol 1, No 1 (2017)
Publisher : Universitas PGRI Madiun

Untuk mempermudah proses pembelajaran dan meningkatkan pemahaman maka diperlukan suatu media untuk memudahkan proses pembelajaran dan pemahaman. Oleh karena itu maka akan dirancang sebuah Aplikasi Pembelajaran Seni Budaya Tembang Macapat dengan memanfaatkan teknologi yang ada saat ini untuk mendukung kegiatan belajar dan mengajar di SMPN 1 Maospati sehingga memudahkan para pengajar ataupun siswa dalam proses penyampaian hingga pemahaman materi tembang macapat. Dalam pembuatan aplikasi ini saya menggunakan Aplikasi Adobe Makromedia Flash CS6. Pengembangan aplikasi tersebut menggunakan model waterfall, Model ini melakukan pendekatan secara sistematis dan urut mulai dari level kebutuhan aplikasi lalu menuju ke tahap analisis, desain, script, testing atau verification, dan maintenance. Diharapkan nantinya akan mempermudah dalam proses penyampaian materi dan pemahaman siswa yang berdampak langsung dengan meningkatnya prestasi belajar Seni Budaya

Advanced Classification of Oil Palm Fruit Ripeness Deep Learning for Enhanced Agricultural Efficiency Hasibuan, Achmad Alwi; Ali Amran Nst; Aldi Antoni; Ray Handika; Budi Yanto; Akhmad Zulkifli
Journal of ICT Applications System Vol 3 No 2 (2024): Journal of ICT Aplications and System
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56313/jictas.v3i2.395

The classification of oil palm fruit ripeness is a critical factor in optimizing palm oil production. Traditional methods of ripeness assessment, based on the percentage of detached fruits and changes in skin color, are prone to human error due to subjective judgment. This study proposes an advanced approach utilizing deep learning with the ResNet50 model to classify oil palm fruit ripeness into four levels: unripe, under-ripe, ripe, and overripe. The research evaluates the model's performance under various data allocations, optimizers, and learning rates while incorporating data augmentation techniques to enhance accuracy. Experimental results indicate the optimal configuration includes a 90/10 data split, Adam optimizer, and a learning rate of 0.0001, achieving precision of 96%, recall of 98%, F1 score of 97%, and accuracy of 97%. These findings highlight the potential of ResNet50 in delivering reliable, real-time classification for agricultural applications, providing a practical solution for farmers and industries. The study concludes that large and diverse training datasets are essential for achieving robust classification results

Implementation of Business Intelligence for Analyzing and Visualizing Data on Hacker-Affected Regions Using Data Studio Fitrianik Eva Lestari; Budi Yanto
JOURNAL OF ICT APLICATIONS AND SYSTEM Vol 3 No 1 (2024): Journal of ICT Aplications and System
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat

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Implementation of Business Intelligence (BI) using the Google Data Studio platform facilitates the analysis and visualization of data from regions impacted by hacking activities. This study demonstrates the use of a data warehouse to integrate multiple datasets, enabling the generation of accurate, interactive dashboards for informed decision-making. Results highlight the effectiveness of BI in transforming raw data into meaningful insights through visual elements such as bar charts, pie charts, and scatter plots. The analysis provides actionable insights into areas affected by cyberattacks, emphasizing the importance of accessible and real-time data visualization tools. Findings validate the role of Google Data Studio in enhancing organizational responsiveness to security threats through intuitive and customizable reporting solutions.

Carry and Go (CAGO): Robot AGV untuk Penyortiran Paket Berbasis Pemrosesan Citra lustini; Ferry Govert Anwar; Tony Lau; David Chow; Victor; Budi Yanto; Agus Suwandi; Raymond Erz Saragih
Journal of Digital Ecosystem for Natural Sustainability Vol 5 No 1 (2025): Juli 2025
Publisher : Fakultas Komputer - Universitas Universal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63643/jodens.v5i1.299

The rapid growth of e-commerce has led to an increasing volume of shipments, requiring more efficient logistics systems. Package sorting still largely relies on conveyor systems, which have limitations in terms of space, cost, and energy consumption. Therefore, this project develops CAGO (Carry & Go), an Automated Guided Vehicle (AGV) based on image processing, as a more flexible and energy-efficient alternative for package sorting. The methods used in this project include image processing with a camera to detect package colors, 5-channel line tracking sensor module for line following navigation, and ESP32 as the main control unit. The AGV is designed to automatically transport and sort packages based on color, which represents the delivery destination. With this approach, the AGV is expected to be an efficient solution for package sorting, especially for logistics companies with limited space and resources. Its flexibility, lower power consumption, and independence from large infrastructures like conveyor systems make it a more adaptable alternative for various logistics businesses.

Analisis Data Science terhadap Kualitas Tidur dan Faktor-Faktor yang Mempengaruhinya: Studi Kasus Sleep Health and Lifestyle Dataset Amner Sastra; Khairul Sabri; Budi Yanto
Inventor: Jurnal Inovasi dan Tren Pendidikan Teknologi Informasi Vol 3 No 2 (2025): Edisi Juni
Publisher : STKIP Taman Siswa Bima

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37630/inventor.v3i2.2567

Kualitas tidur merupakan faktor penting yang berkontribusi terhadap kesehatan individu. Penelitian ini menggunakan pendekatan Data Science untuk menganalisis hubungan antara pola tidur dan berbagai faktor gaya hidup serta kesehatan, seperti BMI, tekanan darah, tingkat stres, dan aktivitas fisik. Dataset yang digunakan terdiri dari 155 sampel dengan 13 variabel, diolah melalui teknik pembersihan data, transformasi variabel, deteksi outlier, dan analisis korelasi. Hasil penelitian menunjukkan bahwa faktor usia memiliki korelasi tertinggi terhadap kualitas tidur, sedangkan detak jantung memiliki korelasi terendah. Selain itu, metode pemodelan prediktif digunakan untuk mengidentifikasi fitur yang paling berpengaruh dalam menentukan kualitas tidur. Studi ini menegaskan bahwa analisis berbasis data dapat memberikan wawasan yang lebih mendalam dalam memahami pola tidur dan faktor-faktor yang mempengaruhinya, serta berpotensi menjadi dasar bagi rekomendasi peningkatan kualitas tidur individu.

Analisis Data Science terhadap Kualitas Tidur dan Faktor-Faktor yang Mempengaruhinya: Studi Kasus Sleep Health and Lifestyle Dataset Amner Sastra; Khairul Sabri; Budi Yanto
Inventor: Jurnal Inovasi dan Tren Pendidikan Teknologi Informasi Vol. 3 No. 2 (2025): Edisi Juni
Publisher : STKIP Taman Siswa Bima

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37630/inventor.v3i2.2567

Kualitas tidur merupakan faktor penting yang berkontribusi terhadap kesehatan individu. Penelitian ini menggunakan pendekatan Data Science untuk menganalisis hubungan antara pola tidur dan berbagai faktor gaya hidup serta kesehatan, seperti BMI, tekanan darah, tingkat stres, dan aktivitas fisik. Dataset yang digunakan terdiri dari 155 sampel dengan 13 variabel, diolah melalui teknik pembersihan data, transformasi variabel, deteksi outlier, dan analisis korelasi. Hasil penelitian menunjukkan bahwa faktor usia memiliki korelasi tertinggi terhadap kualitas tidur, sedangkan detak jantung memiliki korelasi terendah. Selain itu, metode pemodelan prediktif digunakan untuk mengidentifikasi fitur yang paling berpengaruh dalam menentukan kualitas tidur. Studi ini menegaskan bahwa analisis berbasis data dapat memberikan wawasan yang lebih mendalam dalam memahami pola tidur dan faktor-faktor yang mempengaruhinya, serta berpotensi menjadi dasar bagi rekomendasi peningkatan kualitas tidur individu.

Integrasi Pijat Laktasi dan Edukasi Gizi untuk Peningkatan Produksi ASI Eksklusif: Studi Mixed Method pada Ibu Menyusui di Kabupaten Rokan Hulu Andria; Romy Wahyuny; Devi Novita Sari; Bia Arrafah Syifa; Rindi Atikha; Budi Yanto
Jurnal Ilmu Kebidanan Vol 14 No 2 (2025): Al-Insyirah Midwifery: Jurnal Ilmu Kebidanan (Journal of Midwifery Sciences)
Publisher : Institut Kesehatan dan Teknologi Al Insyirah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35328/kebidanan.v14i2.3096

Exclusive breastfeeding coverage in Rokan Hulu Regency remains stagnant at 56%, far below the national target of 80%. This low achievement is influenced by insufficient maternal nutrition knowledge, postpartum stress, and limited social support. This study aims to analyze the effectiveness of lactation massage and nutrition education interventions in improving breast milk production and maternal knowledge. The research employed a mixed-method explanatory sequential design with a quasi-experimental pre-test and post-test control group, followed by in-depth interviews. A total of 60 breastfeeding mothers with infants aged 0–6 months were selected through purposive sampling. Quantitative data were analyzed using paired t-test and independent t-test, while qualitative data were examined thematically. The results showed a significant increase in breast milk volume (≥20%) and maternal nutrition knowledge scores (≥25 points) in the intervention group compared to the control group (p < 0.05). Qualitative findings revealed that the intervention enhanced mothers’ confidence, reduced stress, and strengthened community support. This study concludes that combining lactation massage and nutrition education is effective in improving exclusive breastfeeding practices and should be integrated into primary healthcare services

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