63 research outputs found
Rianto parande
No full textPemuridan sendiri pertama-tama di mulai oleh Yesus Kristus sendiri kepada murid-muridNya, pemuridan Yesus sendiri adalah salah satu model pemuridan kontekstual. Pemuridan Yesus memiliki delapan langkah yaitu, pemilihan, pengabdian,persekutuan, pemberian diri, peragaan,pendelegasian,pengawasan,dan multipikasi. Dalam hal pemuridan sendiri harapan yang ingin dicapai adalah seorang yang di muridkan harus dapat bertumbuh dalam segala lingkungan yang ada ataupun era yang sedang berjalan. Apabila seseorang murid yang dimuridakan dengan baik dan benar akan mampu memberi dapat yan signifikan terhadap lingungan dimana ia berada. Tujuan dari penulisan ini untuk mengetahui penyebab para pemuda mulai meninggalkan gereja, sehingga perlu beberapa cara untuk mengatasi masalah tersebut, sehingga pemuda kembali menyadari tugas dan pelayanannya di gereja dan terlebih pemuda dapat mendemostrasikan karakter Kristus dimana pun mereka berada
Rasionalitas Ekonomi Dan Perspektifnya Dalam ekonomi Islam
No full textDefinisi Rasionalitas
Menurut M. Nur Rianto Al Arif dan Euis Amalia bahwa rasionalitas men-jadi membingungkan ketika dapat berarti tidak memihak (dispassionate), beralas-an (reasonable), logis (logical), dan mempunyai maksud tertentu (purposeful). Perbedaan makna tentang rasionalitas tersebut terjadi antarsesama ilmuan sosial, dimana rasionalitas menjadi topik yang kontroversi dan tidak ada definisi yan jelas, lugas, serta gamblang yang bisa diterima secara umum oleh semua pihak
THE INCONVENIENT PROBLEMS OF LAW ENFORCEMENT IN INDONESIA IN RELATION TO THE CASE OF BIBIT-CHANDRA
No full textIn this article, the author presents a description and analysis of recent developments in Indonesian law enforcement. The leaders of Corruption Eradication Commission (KPK), Bibit S. Rianto and Chandra M. Hamzah, are currently facing legal problems. Both have been accused of abuse of authority by issuing a travel ban letter preventing Anggoro Wodjojo and Joko Tjandra from leaving Indonesia. In addition, the two KPK leaders are also accused of corruption. In the following process of police investigation, Bibit S. Rianto and Chandra M. Hamzah were arrested by the police. Legal proceedings against Bibit S. Rianto and Chandra M. Hamzah then became a national issue, and the two accused gained support from people throughout Indonesia. Efforts to arrest Bibit S. Rianto and Chandra M. Hamzah were regarded as an attempt to criminalize the Corruption Eradication Commission (KPK). In order to quell increasingly vocal protests, President Susilo Bambang Yudhoyono formed an independent fact-finding team to make clarifications in connection with the case of Bibit S. Rianto and Chandra M. Hamzah. The independent team delivered recommendations to President Susilo Bambang Yudhoyono calling for an immediate stop to the investigation against Bibit S. Rianto and Chandra M. Hamzah, among others, by reason of insufficient evidence. This case then ended with the issuance of a Termination of Prosecution Assessment Letter (Surat Ketetapan Penghentian Penuntutan (SKPP)) from the Attorney General of the Republic of Indonesia
The Inconvenient Problems of Law Enforcement in Indonesia in Relation to the Case of Bibit-Chandra
No full textIn this article, the author presents a description and analysis of recent developments in Indonesian law enforcement. The leaders of Corruption Eradication Commission (KPK), Bibit S. Rianto and Chandra M. Hamzah, are currently facing legal problems. Both have been accused of abuse of authority by issuing a travel ban letter preventing Anggoro Wodjojo and Joko Tjandra from leaving Indonesia. In addition, the two KPK leaders are also accused of corruption. In the following process of police investigation, Bibit S. Rianto and Chandra M. Hamzah were arrested by the police. Legal proceedings against Bibit S. Rianto and Chandra M. Hamzah then became a national issue, and the two accused gained support from people throughout Indonesia. Efforts to arrest Bibit S. Rianto and Chandra M. Hamzah were regarded as an attempt to criminalize the Corruption Eradication Commission (KPK). In order to quell increasingly vocal protests, President Susilo Bambang Yudhoyono formed an independent fact-finding team to make clarifications in connection with the case of Bibit S. Rianto and Chandra M. Hamzah. The independent team delivered recommendations to President Susilo Bambang Yudhoyono calling for an immediate stop to the investigation against Bibit S. Rianto and Chandra M. Hamzah, among others, by reason of insufficient evidence. This case then ended with the issuance of a Termination of Prosecution Assessment Letter (Surat Ketetapan Penghentian Penuntutan (SKPP)) from the Attorney General of the Republic of Indonesia
The loss of public sphere: outdoor advertising and commercialization of public spaces in sleman, Yogyakarta, Indonesia
No full textThe commercialization of public spaces is one of the crucial issues in Yogyakarta Special Province, Indonesia. This study examines the loss of public spaces on Kaliurang and Affandi street, Sleman, Yogyakarta. Applying the case study as a research method, the data were collected through close observations to the advertisements, billboards, banners, posters, and other outdoor media along Jl. Kaliurang and Affandi street. During the data collection, the author has taken some photos in certain spots of these two locations. The study finds that the massive occupation of outdoor advertising in the public spaces along these two areas has not only causing visual trash but also causing the loss of the public sphere. It is caused by several factors. One of the most important factors is the weakness of local government regulations. Another factor is the spatial capitalization of the Yogyakarta Special Region and Sleman Regency in recent years as could be seen from the wide establishment of hotels, malls, supermarkets, and minimarkets in Yogyakarta. As a result, the public does not have enough space to express their voices and interests. Furthermore, the dominance of outdoor advertising has resulted in the dominance of commercial discourse in public spaces and has simultaneously marginalized or even eliminated public discourse. Public space has eventually transformed into commercial and has no longer become an important tool for democracy. Conversely, it has become an important tool for promoting consumer culture
Studi Dinamika Teknologi Transfer di Idustri Manufaktur (kasus Industri Elektronika)
No full textviii, 165 hlm.; 18.5x24.5c
Pertanggung Jawaban Pidana Seorang Kurator Yang Melakukan Penggelapan Dalam Pengurusan Dan Pemberesan Harta Pailit Pasal 372 Jo Pasal 374 Kuhp Studi Kasus No 275/Pid/2018/Pt/Dki
No full text"Kepailitan adalah suatu sita umum atas semua harta kekayaan debitor pailit yang pengurusan dan pemberesannya dilakukan oleh kurator dibawa pegawasan hakim pengawas,(pasal 1 ayat 1 UU No. 37 Tahun 2004) Peraturan kepailitan dibuat dan dikeluarkan karena harta dari debitor tidak mencukupi untuk dibagikan kepada kreditor akibat terjadinya perebutan harta pailit,Dengan tujuan bahwa untuk melindungi para kreditor memperoleh hak-haknya dalam kepailitan, Memberikan Waktu kepada pihak debitor dan kreditor untuk berunding dan membuat kesepakatan bersama atau bahkan memberikan perlindungan terhadap kreditor dan debitor atas kesalahan atau kelalaian dari kurator dalam harta pailit,Adapun maksud dan tujuan penulisan skripsi ini yaitu untuk mengetahui tanggung jawab seorang kurator yang melakukan kesalahan atau kelalaian dalam pengurusan dan pemberesan harta pailit dan juga untuk mengetahui sejauh mana perlindungan hukum terhadap debitor dan kreditor terhadap tindakan yang dilakukuan oleh kurator,Metode penelitIan yang digunakan adalah penelitIan yuridis normatif dengan pendekatan perundang-undangan juga menggunakan studi putusan dimana penulis menganalisis kedudukan debitor dan atau kreditor yang mengajukan permohona pailit dan memiliki Legal Standing sebagai pemohon pailit kepada perusahaan baik perusahaan swasta maupun milik negara./
Bankruptcy is a general confiscation of all assets of a bankrupt debtor whose management and settlement is carried out by the curator under the supervision of a supervisory judge, (Article 1 paragraph 1 of Law No. 37 of 2004) Bankruptcy regulations are made and issued because the assets of the debtor are not sufficient to be distributed to creditors as a result of the seizure of bankruptcy assets, With the aim that to protect creditors from obtaining their rights in bankruptcy, to provide opportunities for debtors and creditors to negotiate and make mutual agreements or even provide protection to creditors and debtors for errors or omissions from the curator in the bankruptcy estate,The purpose and objective of writing this thesis is to find out the responsibilities of a curator who made mistakes or omissions in the management and settlement of bankrupt assets and also to find out the extent of legal protection for debtors and creditors against actions taken by the curator,The research method used is a normative juridical research with a statutory approach and uses a decision study where the author analyzes the position of debtors and or creditors who file a bankruptcy application and have legal standing as an applicant for bankruptcy to companies, both private and state-owned companies
APPLICATION OF ARTIFICIAL NEURAL NETWORK METHODS TO DETECT HEART ATTACKS
No full textA heart attack is a medical emergency caused by restricted blood flow to the heart, commonly leading to myocardial infarction due to blood clots or fat accumulation. Early detection of heart disease is crucial to support prevention efforts and assist healthcare professionals in timely diagnosis and treatment. This study applies the Backpropagation Neural Network (BPNN) algorithm as an intelligent computing method for heart attack detection. Experimental results demonstrate a prediction accuracy of 96.47%, confirming the effectiveness of artificial neural networks in identifying heart attacks in patients. These findings highlight the potential of BPNN as a reliable and precise early detection system, which can support more accurate clinical decision-making and improve the effectiveness of heart attack prevention and treatment
Performance Evaluation of Multiple Deep Learning Models for Wine Quality Prediction
No full textResearch utilizing a dataset from the UCI repository evaluated the predictive accuracy of nine machine learning models for wine quality. The models employed include Logistic Regression, K-Nearest Neighbor (KNN), Decision Tree, Support Vector Machine (SVM), Random Forest, XGBoost, LightGBM, CatBoost, and Gradient Boosting. The dataset comprises 1,599 samples with 12 chemical parameters. Data preprocessing, including oversampling, normalization, standardization, and seeding, was performed to enhance model performance.The study\u27s findings indicate that the models with the highest accuracy values were LightGBM (87.80%), CatBoost (86.60%), and Random Forest (85.70%). A voting classifier combining these three models achieved an accuracy of 87.29%. Further analysis using a confusion matrix demonstrated that this combined model effectively predicts the "Good" and "Not Good" classes.In conclusion, the combination of LightGBM, CatBoost, and Random Forest models proves to be an effective approach for predicting wine quality based on chemical parameters, with an accuracy value of 87.29%
WASTEWISE: AI-POWERED WASTE EDUCATION FOR ELEMENTARY STUDENTS USING YOLOV8 AND ESP32-CAM
No full textThe growing volume of global waste poses a significant challenge for effective waste management, particularly in developing countries where awareness and practices around waste sorting remain limited. This study aims to enhance elementary school students' understanding and efficiency in sorting organic and inorganic waste using an interactive, AI-powered educational tool. The proposed system, WasteWise, integrates YOLOv8 for real-time object detection and ESP32-CAM for capturing waste images. A pre-test and post-test experimental design was conducted to assess students’ performance before and after using the system. The results showed a notable improvement in sorting accuracy, increasing from 60% with manual sorting to 90% using the WasteWise system, alongside reduced sorting time. These findings highlight the system's potential not only as an automated waste classification tool but also as a cost-effective and engaging platform for promoting environmental awareness and digital literacy among young learners
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