bluuebunny/crossref_metadata_2025 huggingface dataset:
Altered brain network centrality in Parkinson’s disease patients after deep brain stimulation: a functional MRI study using a voxel-wise degree centrality approach
Authors: Luo Bei , Qiu Chang , Chang Lei , Lu Yue , Dong Wenwen , Liu Dongming , Xue Chen , Yan Jun , Zhang Wenbin
Published: November 2022

OBJECTIVE

After deep brain stimulation (DBS), patients with Parkinson’s disease (PD) show improved motor symptoms and decreased verbal fluency, an effect that occurs before the initiation of DBS in the subthalamic nucleus. However, the underlying mechanism remains unclear. This study aimed to evaluate the effects of DBS on whole-brain degree centrality (DC) and seed-based functional connectivity (FC) in PD patients.

METHODS

The authors obtained resting-state functional MRI data of 28 PD patients before and after DBS surgery. All patients underwent MRI scans in the off-stimulation state. The DC method was used to evaluate the effects of DBS on whole-brain FC at the voxel level. Seed-based FC analysis was used to examine network function changes after DBS.

RESULTS

After DBS surgery, PD patients showed significantly weaker DC values in the left middle temporal gyrus, left supramarginal gyrus, and left middle frontal gyrus, but significantly stronger DC values in the midbrain, left precuneus, and right precentral gyrus. FC analysis revealed decreased FC values within the default mode network (DMN).

CONCLUSIONS

This study demonstrated that the DC of DMN-related brain regions decreased in PD patients after DBS surgery, whereas the DC of the motor cortex increased. These findings provide new evidence for the neural effects of DBS on voxel-based whole-brain networks in PD patients.
Maintenance Hemodialysis among Patients Visiting Nephrology Unit in a Tertiary Care Centre: A Descriptive Cross-sectional Study
Authors: Agrawaal Krishna Kumar
Published: November 2022

Introduction: Maintenance hemodialysis is the treatment of renal failure and chronic kidney disease. Though the government of Nepal is providing free hemodialysis there is no chronic kidney disease registry or data to look into the clinical profile of patients. The aim of this study is to find out the prevalence of maintenance hemodialysis among patients visiting the nephrology unit in a tertiary care centre.
Methods: This was a descriptive cross-sectional study carried out from October 2021 to October 2022. Ethical approval was taken from the Institutional Review Committee (Reference number: UCMS/IRC/132/22). All patients receiving maintenance hemodialysis were enrolled in the study. Convenience sampling was done. Point estimate and 95% Confidence Interval were calculated.
Results: Among 2190 patients visiting the nephrology unit, maintenance hemodialysis was prevalent in 100 (4.57%) (3.70-5.44, 95% Confidence Interval).
Conclusions: The prevalence of maintenance hemodialysis was found to be similar to the other studies done in similar settings.
PENDEKATAN NEUROSAINS DALAM STRATEGI PEMBELAJARANUNTUK SISWA SLOW LEARNER
Authors: Teti Sumiati  , Septi Gumiandari
Published: November 2022

Siswa slow learner adalah siswa berkebutuhan khusus yang mengalami keterlambatan dalam belajar. Penelitian ini bertujuan untuk mengetahui hubungan antara  neurosainsdalam strategi pembelajaran terhadap siswa slow learner dan metode pembelajaran terbaik bagi slow learner perspektif neurosains. Metode penelitian dilakukan dengan kajian literatur yang diperoleh dari google  scholardari tahun 2012-2022 dengan key word slow learner dan neurosains. Hasil pencarian diperoleh  sebanyak 34 artikel. Artikel-artikel tersebut kemudian dipilah lagi menjadi sebanyak 20 artikel yang secara khusus membahas slow learner,  dan neurosains. Artikel lainnya tidak dipilih karena  banyak membicarakan terkait pendidikan inklusi.Setelah ditelaah, artikel-artikel tersebut  dianalisa kemudian disimpulkan. Hasil penelitian ini menunjukkan bahwa terdapat    hubungan antara optimalisasi peran otak dalam penerapan strategi pembelajaran pada siswa slow learner dalam pencapaian tujuan pendidikan.Pembelajaran berbasis neurosainsterbukti efektif membangkitkan motivasi dan prestasi belajar siswa slow learner  denganmemberikan stimulus yang tepat. Metode yang sesuai dengan strategi pembelajaran berbasis neurosains, diantaranya dengan musik, pencahayaan, tat ruang, art terapy, permainan, fun learning, pembelajaran berbasis masalah, cooperative learning,metode shaw, serta hypno teaching. Sedangkan strategi yang digunakan sebaiknya memuat beberapa macam strategi dengan penekanan kepada apersepsi, alfa zone, musik dan scene setting.
SEGREGATION OF RELIGIOUS IDENTITY: An Ethnography of Religion Pluralism and Cultural Trauma in the Tolaki Communities
Authors: Alifuddin Muhammad , Amir Abdul Muiz
Published: November 2022

This article aimed to determine segregation between Muslims and Christians in the Tolaki ethnic community, especially in the Wolasi and Lambuya Sub-districts, Southeast Sulawesi, Indonesia. The two areas are important to review, considering that the two populations, consisting of Muslims and Christians, come from the same ethnic group but differ in their response to religious pluralism. The method used is descriptive qualitative, utilizing observation and in-depth interviews. Furthermore, the data were analyzed using ethnography and historical approaches. The results show that the Tolaki ethnic group (Muslim and Christian) in the Lambuya community more openly responds to religious pluralism than the Wolasi community. In terms of historical perspective, the Wolasi community experienced cultural trauma from the history of Christianization during the Dutch colonies. This is because there were significant differences in perspective between religious believers, even though they were still in one ethnic group and family. In contrast, the Lambuya community prioritizes the interests of brotherhood relations within the same ethnicity and family. But the people in both subdistricts take local customs and cultures into account when trying to solve religious and social problems. If they don’t get along because of their different religions, Kalosara can help them work things out. This research suggests that combining faith and local wisdom is an alternative way to deal with social diversity.
FEMALE CONSUMPTION DRIVERS ASSOCIATED WITH RIDE-HAILING IN BRAZILIAN CAPITALS
Authors: Violin Fábio Luciano , Zorzi Mariciana , Arizaga Hugo Ferreira , Gouveia Luis Manuel Borges
Published: November 2022

The study proposed an explanatory model of female consumption behavior associated with ride-hailing in Brazil. 2176 interviews were carried out in representative capitals of the five regions of the country, allowing to point out that the use takes place in a utilitarian way with support provided by technological facilitators, evidencing the concern of women with physical and/or psychological violence. The results represent a theoretical advance by revealing the commutability of variables according to the reasons for use and the period of travel, which change the order and degree of importance of the decision-making inductors, indicating that in leisure situations or social obligations in the night, increases the level of relevance of variables related to forms of harassment and self-preservation. Interchangeable behavior is formed by the perception of influence variables associated with reasons for use and time of day and represents a distinctive understanding in understanding the topic.
Graph convolutional networks-based robustness optimization for scale-free Internet of Things
Authors: Peng Yabin , Liu Caixia , Wu Yiteng , Liu Shuxin , Wang Kai
Published: November 2022

The Internet of Things (IoT) devices have limited resources and are vulnerable to attacks, so optimizing their network topology to resist random failures and malicious attacks has become a key issue. The scale-free network model has strong resistance to random attacks, but it is very vulnerable to malicious attacks. The existing studies mostly adopt heuristic algorithms to optimize the ability of scale-free networks to resist malicious attacks, but their high computational cost cannot meet the timeliness requirements of the real IoT. Therefore, this paper proposes an intelligent topology robustness optimization model based on a graph convolutional network (ROGCN). The model extracts the onion-like structural features of the highly robust network topology from the data set through supervised learning, and on this basis, different search strategies are designed to meet the needs of different IoT scenarios. The extensive experimental results demonstrate that ROGCN can more effectively improve the robustness of scale-free IoT networks against malicious attacks compared to two existing heuristic algorithms, with a lower computational cost.
Graph structure learning based on feature and label consistency
Authors: Yuan Jinliang , Yao Yirong , Xu Ming , Yu Hualei , Xie Junyuan , Wang Chongjun
Published: November 2022

Graph Neural Networks (GNNs) have achieved remarkable success in graph-related tasks by combining node features and graph topology elegantly. Most GNNs assume that the networks are homophilous, which is not always true in the real world, i.e., structure noise or disassortative graphs. Only a few works focus on generalizing graph neural networks to heterophilous or low homophilous networks, where connected nodes may have different labels. In this paper, we design a simple and effective Graph Structure Learning strategy based on Feature and Label consistency (GSLFL) to increase the homophilous level of networks for generalizing any existing GNNs to heterophilous networks. Specifically, we first introduce a method to learn graph structure based on node features and then modify the graph structure based on label consistency. Further, we combine the GSLFL with three existing GNNs to learn node representations and graph structure together. And we design a self-training method to iteratively train models and modify graph structure with pseudo-labels. Finally, our empirical results on 6 public networks with homophily or heterophily, and structure attacks show that our methods outperform the state-of-the-art methods in most cases.
A novel density-based outlier detection method using key attributes
Authors: Qi Zhuang , Chen Xiaming
Published: November 2022

Outlier detection has attracted extensive attention in medical, financial, telecommunications and other fields. Although many related technologies have been proposed, most of them are faced with the problems of the neighborhood size of an object is difficult to determine and the distance in high-dimensional space is unreliable. To overcome these weaknesses, we propose a novel density-based outlier detection method that introduces the concept of Minimum the Sum of Edge Set and other related definitions in key attributes space. Based on the stability of Reverse Minimum the Sum of Edge Set, the proposed method can adaptively select the parameter representing the neighborhood size. In addition, some properties of the proposed local outlier factor are derived. Experiments on synthetic and real-world datasets demonstrate that our method is more effective than the existing outlier detection approaches.
Adaptive fuzzy C-means clustering integrated with local outlier factor
Authors: She Chunyan , Zeng Shaohua , Wang Qi , Wang Shuai , Xu Yidan
Published: November 2022

The conventional fuzzy C-means (FCM) is sensitive to the initial cluster centers and outliers, which may cause the centers deviate from the real centers when the algorithm converges. To improve the performance of FCM, a method of initializing the cluster centers based on probabilistic suppression is proposed and an improved local outlier factor is integrated into the model of FCM. Firstly, the probability of an object as cluster center is defined by its local density, and all initial centers are obtained by the cluster center’s probability and probability suppression function incrementally. Next, an improved local outlier factor is reconstructed according to the local distribution of an object, and its reciprocal is regarded as the contribution degree of an object to cluster center. Then, the improved local outlier factor is integrated into FCM to alleviate the negative effect caused by outliers. Finally, experiments on synthetic and real-world datasets are provided to demonstrate the clustering performance and anti-noise ability of proposed method.
Double Q-learning based routing protocol for opportunistic networks
Authors: Singh Jagdeep , Dhurandher Sanjay Kumar , Woungang Isaac , Barolli Leonard
Published: November 2022

Opportunistic Delay Tolerant Networks also referred to as Opportunistic Networks (OppNets) are a subset of wireless networks having mobile nodes with discontinuous opportunistic connections. As such, developing a performant routing protocol in such an environment remains a challenge. Most research in the literature have shown that reinforcement learning-based routing algorithms can achieve a good routing performance, but these algorithms suffer from under-estimations and/or over-estimations. Toward addressing these shortcomings, in this paper, a Double Q-learning based routing protocol for Opportunistic Networks framework named Off-Policy Reinforcement-based Adaptive Learning (ORAL) is proposed, which selects the most suitable next-hop node to transmit the message toward its destination without any bias by using a weighted double Q-estimator. In the next-hop selection process, a probability-based reward mechanism is involved, which considers the node’s delivery probability and the frequency of encounters among the nodes to boost the protocol’s efficiency. Simulation results convey that the proposed ORAL protocol improves the message delivery ratio by maintaining a trade-off between underestimation and overestimation. Simulations are conducted using the HAGGLE INFOCOM 2006 real mobility data trace and synthetic model, showing that when time-to-live is varied, (1) the proposed ORAL scheme outperforms DQLR by 14.05%, 9.4%, 5.81% respectively in terms of delivery probability, overhead ratio and average delay; (2) it also outperforms RLPRoPHET by 16.17%, 9.2%, 6.85%, respectively in terms of delivery ratio, overhead ratio and average delay.
Optimized scheduling with prioritization to enhance network sustainability in edge-cloud environment
Authors: Apinaya Prethi K.N. , Sangeetha M. , Nithya S.
Published: November 2022

Due to decentralized infrastructure in modern Internet-of-Things (IoT), the tasks should be shared around the edge devices via network resources and traffic prioritizations, which weaken the information interoperability. To solve this issue, a Minimized upgrading batch Virtual Machine (VM) Scheduling and Bandwidth Planning (MSBP) was adopted to reduce the amount of batches needed to complete the system-scale upgrade and allocate the bandwidth for VM migration matrices. But, the suboptimal use of VM and possible loss of tasks may provide inadequate Resource Allocation (RA). Hence, this article proposes an MSBP with the Priority-based Task Scheduling (MSBP-PTS) algorithm to allocate the tasks in a prioritized way and maximize the profit by deciding which request must handle by the edge itself or send to the cloud server. At first, every incoming request in its nearest fog server is allocated and processed by the priority scheduling unit. Few requests are reallocated to other fog servers when there is an inadequate resource accessible for providing the request within its time limit. Then, the request is sent to the cloud if the fog node doesn’t have adequate resources, which reduces the response time. However, the MSBP is the heuristics solution which is complex and does not ensure the global best solutions. Therefore, the MSBP-PTS is improved by adopting an Optimization of RA (MSBP-PTS-ORA) algorithm, which utilizes the Krill Herd (KH) optimization instead of heuristic solutions for RA. The simulation outcomes also demonstrate that the MSBP-PTS-ORA achieve a sustainable network more effectively than other traditional algorithms.
An offline English optical character recognition and NER using LSTM and adaptive neuro-fuzzy inference system
Authors: Suganthi M. , Arun Prakash R.
Published: November 2022

Everything becomes smart in the modern era, for everything we need a better plan or arrangements. In the olden days, essential information was noted as a document with the help of paper and pen or printed texts. But the intelligent world needs a paperless environment by converting handwritten or printed text documents into software copies. This can be achieved by the electronic data conversion concept called Optical Character Recognition (OCR). OCR of some documents is complex because of different writing styles and quality of scanned image issues, which can be solved by adopting a deep learning technique for better accuracy. We employed Long Short Term Memory (LSTM) for English Optical Character Recognition for paperless and effortless data storage and fast access in this work. Still, the records may contain the entities like names, contact details, drug details, diseases, educational qualifications, dates, etc. These entities cannot be separated by employing OCR alone; we need an entity recognition framework for deeper and faster data analysis. For efficient Named Entity Recognition, we utilize the Adaptive Fuzzy Inference System (ANFIS) powered by the algorithms CRF and BERT to automatically label each entity by training the vast amount of unlabeled text data. The ANFIS model is equipped with both linguistic and numerical knowledge. It is more accurate than the ANN when it comes to identifying patterns and classification data. Also, it is more transparent to the user. Our proposed framework aims to improve the performance of the character recognition system by using a feed-forward network. One of the main issues that have been identified in the development of this system is noise. Through this network, we can provide a single input and one output layer. The main components of the system are the training and recognition sections. These two sections are mainly focused on image acquisition and feature extraction. Besides these, they also include training and simulation of the classifier. The first step in the process of image recognition is to extract the features from the normalized image matrix. We then train the network using a proposed training algorithm. Experimentation on medical records attains a higher accuracy value of 0.9637, recall value of 0.9627, and f1 score of 0.9627, respectively.
Reporte de Mercados Financieros - primer trimestre de 2012
Authors: Vargas Hernando , Cardozo Pamela , Benítez Sandra , Rojas Juan Sebastián , Buitrago María Alejandra , Leiton Karen , Moreno José Fernando , Patiño Lina , Rassa Juan Sebastián , Venegas Tatiana
Published: November 2022

Este reporte hace una descripción de la dinámica del mercado financiero a nivel local, apoyándose en comparaciones internacionales. El entendimiento del comportamiento de los diferentes mercados es esencial para las entidades encargadas de la supervisión, para los participantes de dichos mercados y para las autoridades encargadas de establecer el marco regulatorio de los mismos.
Reporte de Mercados Financieros - primer trimestre de 2013
Authors: Vargas Hernando , Cardozo Pamela , Benítez Sandra , Rojas Juan Sebastián , Cardozo Nathali , Leiton Karen , Moreno José Fernando , Patiño Lina , Rassa Juan Sebastián , Venegas Tatiana
Published: November 2022

Este reporte hace una descripción de la dinámica del mercado financiero a nivel local, apoyándose en comparaciones internacionales. El entendimiento del comportamiento de los diferentes mercados es esencial para las entidades encargadas de la supervisión, para los participantes de dichos mercados y para las autoridades encargadas de establecer el marco regulatorio de los mismos.
Reporte de Mercados Financieros - segundo trimestre de 2012
Authors: Vargas Hernando , Cardozo Pamela , Benítez Sandra , Rojas Juan Sebastián , Cardozo Nathali , Leiton Karen , Moreno José Fernando , Patiño Lina , Rassa Juan Sebastián , Venegas Tatiana
Published: November 2022

Este reporte hace una descripción de la dinámica del mercado financiero a nivel local, apoyándose en comparaciones internacionales. El entendimiento del comportamiento de los diferentes mercados es esencial para las entidades encargadas de la supervisión, para los participantes de dichos mercados y para las autoridades encargadas de establecer el marco regulatorio de los mismos.
Reporte de Mercados Financieros - segundo trimestre de 2013
Authors: Vargas Hernando , Cardozo Pamela , Benítez Sandra , Rojas Juan Sebastián , Cardozo Nathali , Leiton Karen , Moreno José Fernando , Patiño Lina , Rassa Juan Sebastián , Venegas Tatiana
Published: November 2022

Este reporte hace una descripción de la dinámica del mercado financiero a nivel local, apoyándose en comparaciones internacionales. El entendimiento del comportamiento de los diferentes mercados es esencial para las entidades encargadas de la supervisión, para los participantes de dichos mercados y para las autoridades encargadas de establecer el marco regulatorio de los mismos.
Perlindungan Hak Pasien Sebagai Konsumen Untuk Mendapatkan Isi Rekam Medis Dalam Pelayanan Kesehatan
Authors: Ramadianto Anggra Yudha
Published: November 2022

Pemberi pelayanan kesehatan memiliki sejumlah kewajiban terhadap pasien. Salah satunya adalah menyelenggarakan rekam medis dalam pelayanan kesehatan. Kewajiban tersebut timbul sebagai bentuk pemenuhan hak pasien untuk mendapatkan isi rekam medis. Adanya unsur ekonomi dalam pelayanan kesehatan menyebabkan hubungan dalam pelayanan kesehatan dapat dipandang sebagai bentuk hubungan transaksi komersial. Dengan demikian, hak pasien terkait isi rekam medis tersebut seharusnya dilindungi oleh ketentuan dalam Undang-Undang Perlindungan Konsumen. Tujuan: Memahami dasar hukum untuk melindungi hak pasien sebagai konsumen untuk mendapatkan isi rekam medis menurut perspektif Undang-Undang Perlindungan Konsumen merupakan tujuan dari penelitian ini. Metode: Peneltian ini melakukan pendekatan hukum normatif melalui analisis yang bersifat deskriptif. Data sekunder yang digunakan dalam penelitian ini diperoleh melalui studi kepustakaan. Hasil: Pasien merupakan konsumen dalam pelayanan kesehatan. Pelanggaran terhadap hak pasien untuk mendapatkan isi rekam medis merupakan bentuk pelanggaran hak konsumen dalam pelayanan kesehatan. Berdasarkan Undang-Undang Perlindungan Konsumen, sengketa yang ditimbulkan karena pelanggaran hak tersebut dapat dilakukan melalui pemberian ganti rugi kepada pasien oleh pelaku usaha, pengajuan gugatan oleh pasien yang dirugikan, dan bahkan tuntutan pidana terhadap pelaku usaha.
Kebijakan Paten Melalui Penguatan Perlindungan Invensi Teknologi dan Peningkatan Kemampuan Inovasi
Authors: Purwaningsih Endang , Nur Ariyanti Evie Rachmawati
Published: November 2022

Latar belakang lahirnya Undang-Undang Nomor 13 tahun 2016 Tentang Paten salah satunya ingin memajukan teknologi dan mewujudkan kemandirian teknologi Indonesia,  diperlukan kebijakan yang mendukung penguatan perlindungan invensi di bidang teknologi dan kemampuan berinovasi, guna menumbuhkan iklim kondusif. Tujuan penelitian ini adalah mengkaji kebijakan  Paten Indonesia dalam upaya menguatkan perlindungan hukum invensi teknologi dan kebijakan  Paten Indonesia dalam meningkatkan kemampuan inovasi. Penelitian ini termasuk dalam penelitian normatif terapan atau penelitian normatif empiris yakni menekankan pada data sekunder didukung hasil pengamatan dan wawancara dengan ahli HKI serta institusi terkait yakni Direktorat Jenderal Kekayaan Intelektual Kementerian Hukum dan HAM RI; inventor dan pelaku UMKM. Berdasarkan hasil penelitian, UU Paten khususnya Pasal 20 tentang kewajiban untuk melaksanakan paten di Indonesia telah dikuatkan dengan lahirnya UU Cipta Kerja,  jadi pelaksanaan Paten harus dilakukan di Indonesia sekaligus supaya friendly terhadap investasi. Bagi UKM dan Perguruan Tinggi digiatkan sosialisasi dan fasilitasi. bagi invensi hasil UMKM, perguruan tinggi dan Litbang terdapat insentif 5 tahun pertama gratis/prodeo tidak membayar biaya tahunan sesuai dengan PermenkumHAM nomor 20 tahun 2020, juga untuk tahun ke-6 dan seterusnya jika memang ternyata paten tersebut belum komersial. Perlu harmonisasi regulasi dan sinergitas stakeholder baik di daerah maupun pusat, industri, kampus, peneliti, maupun UMKM untuk protect and promo. Ditjen KI terus menerus melakukan sosialisasi ke seluruh penjuru tanah air, membantu dan mendorong hasil riset Perguruan Tinggi dan litbang, mendayagunakan fasilitasi bagi invensi UMKM.
Imunitas Wartawan Terhadap Kekerasan dalam Peliputan Berita Demonstrasi di Indonesia Dalam Perspektif Hukum Pers
Authors: Sofwan Edi
Published: November 2022

Tujuan dari penelitian ini adalah untuk menjelaskan peran wartawan dalam meliput tugas pemberitaan tentang demonstrasi yang sedang berlangsung di Indonesia dan penulis memaparkan sisi-sisi permasalahan terkait kendala dalam peliputan pers dan kekerasan yang dialami oleh wartawan atau wartawan saat pelaporan. di lapangan. Metode yang digunakan adalah kualitatif dengan menggunakan penelitian yuridis normatif, yaitu penelitian yang menggunakan bahan hukum primer dan bahan hukum sekunder, baik yang bersumber dari peraturan perundang-undangan maupun yang bersumber dari informasi buku dan jurnal. Hasil penelitian pertama, kekebalan jurnalis telah dijamin oleh konstitusi, dan oleh undang-undang, maka seorang jurnalis yang menjalankan profesi jurnalistiknya tidak boleh menghalangi siapa pun karena telah dijamin oleh undang-undang pers, kedua, dalam praktiknya, perlindungan hukum diatur. Pasal 8 UU Pers tentang profesi wartawan yang menjalankan tugasnya dalam meliput demonstrasi belum mendapat perlindungan dan kepastian hukum, karena masih banyak wartawan yang menjadi korban kekerasan dan penyitaan media lainnya dalam menjalankan tugasnya sebagai wartawan.
Efektivitas Dan Eksistensi Dinas Perlindungan Anak Kota Batam Dalam Upaya Pencegahan Kekerasan Pada Anak
Authors: Putri Tasya Raehan Annisa , Tantimin Tantimin
Published: November 2022

Hadirnya anak di dalam sebuah keluarga adalah sebuah anugrah yang dititipkan oleh Tuhan Yang Maha Esa. Konsekuensi hadirnya anak sejatinya harus terdapat perlindungan terhadap hak-hak dan kewajiban yang dimilikinya. Seorang anak yang belum mampu mempertahankan kehidupannya secara mandiri memerlukan pihak-pihak lainnya untuk melakukan perlindungan kepadanya. Perlindungan ini tidak terkecuali kepada pemerintah daerah melalui asas otonomi daerah. Perlindungan anak di Batam kemudian dilegitimasikan melalui Dinas Pemberdayaan Perempuan, Perlindungan Anak, Pengendalian Penduduk dan Keluarga Berencana (P3AP2KB). Melalui tulisan ini peneliti berusaha untuk menjelaskan pengaturan dan efektifitas pencegahan kekerasan pada anak di Kota Batam melalui Dinas P3AP2KB. Pada penelitian ini peneliti menggunakan tipe penelitian empiris atau penelitian socio legal (non doctrinal). Sehingga peneliti dapat menyajikan fakta-fakta secara nyata mengenai perlindungan anak di Kota Batam. Berdasarkan hasil penelitian, kekerasan pada anak mengalami kenaikan dari tahun 2020 dan jenis kekerasan didominasi dengan Kekerasan Dalam Rumah Tangga (KDRT). Peneliti menyimpulkan bahwa Dinas P3AP2KB belum efektif cukup untuk mengatasi permasalahan di Kota Batam. Perlu adanya pengaturan yang lebih ideal lagi mengenai upaya pencegahan terhadap kekerasan pada anak agar angka kekerasan tersebut dapat menurun atau bahkan hilang.
Effect of Incentives, Career Development and Employment Conflict on Employee Achievement at PT. Plasindo Works
Authors: Tantri Kristina , Febriant Jerry , Wie Son Stif , Lubis Fajar Rezeki Ananda
Published: November 2022

The purpose of this study was to determine and analyze the effect of incentives, career development and work conflict on employee performance at PT. Karya Plasindo so that the company can improve and improve the work performance of its employees. The research methodology used is explanatory research. The total population is 141 employees while the sample obtained by the Slovin formula is 105 people. The data processing technique used multiple linear regression analysis. The results of this test show that either partially or simultaneously, career development and work conflict have a positive and significant impact on employee performance at PT. Plasindo's work. The magnitude of the influence of the variable is 40.4% which is influenced by other factors.
MINAT BELAJAR SISWA TERHADAP PEMBELAJARAN BIOLOGI DENGAN MENGGUNAKAN MEDIA POWERPOINT
Authors: Fernandez Vandi , Tunnisa Liza Fadillah , Aulia Nur Rahmatul , Hidayati Nurkhairo
Published: November 2022

Pembelajaran akan dapat dipahami apabila siswa memiliki minat terhadap mata pelajaran yang dipelajarinya, termasuk biologi. Minat belajar siswa dapat dipengaruhi oleh penggunaan media pembelajaran. Tujuan penelitian adalah mengetahui minat belajar siswa kelas XII MIPA SMAN 1 Ujung Batu terhadap mata pelajaran biologi dengan menggunakan media powerpoint. Penelitian ini merupakan jenis survei dengan instrumen berupa angket yang diberikan kepada siswa melalui google form berisi 30 item pernyataan. Indikator minat pada angket adalah kesenangan, ketertarikan, perhatian, dan keterlibatan siswa pada mata pelajaran biologi. Analisis data dilakukan dengan cara menghitung skor angket masing-masing siswa, kemudian menjadikannya dalam persentase dan diinterpretasi dengan kategori sangat baik, baik, kurang baik, dan tidak baik. Hasil penelitian menunjukkan indikator kesenangan siswa sebesar 66,37%, ketertarikan siswa sebesar 72,43%, perhatian siswa sebesar 73,62%, dan keterlibatan siswa 79%. Penelitian ini pada akhirnya menghasilkan simpulan bahwa 72,85% siswa memiliki minat yang dikategorikan baik selama mengikuti proses pembelajaran biologi dengan menggunakan media powerpoint.  Keterlibatan siswa pada mata pelajaran biologi adalah indikator paling tinggi (sangat baik) karena ketika guru menayangkan media powerpoint dan terdapat point materi yang tidak dipahami siswa, maka siswa akan berusaha membacanya berulang kali dan menanyakan kepada guru. Learning will be understood if students have an interest in the subjects they are studying, including biology. Students' interest in learning can be influenced by the use of learning media. The purpose of the study was to determine the learning interest of class XII MIPA students of SMAN 1 Ujung Batu towards biology subjects using powerpoint media. This study was a type of survey with an instrument in the form of a questionnaire that given to students via a google form containing 30 statement items. The indicators of interest in the questionnaire were the students' enjoyment, interest, attention, and involvement in biology subjects. Data analysis was carried out by calculating the score of each student's questionnaire, then making it a percentage and interpreting it with categories of very good, good, less good, and not good.The results showed that the indicators of students’ enjoyment was 66.37%, students’ interest was 72.43%, students’ attention was 73.62%, and students’ involvement was 79%. This study ultimately resulted in the conclusion that 72.85% of students had good interest during the biology learning process using powerpoint media. The involvement of students in biology was the highest indicator (very good) because when the teacher showed the powerpoint media and there were material points that the students did not understand, the students would try to read it repeatedly and ask the teacher.
Perancangan Alat Pengupas Buah Durian Di UKM Pancake Lena
Authors:   Universitas Katolik Musi Charitas, Budiayarto Dominikus
Published: November 2022

DABSTRACTPancake Lena is the small and medium industries that produce durian pancake. These SMEs durian pancake producing as many as 600 pieces per day. For the manufacture of pancakes per day SMBs can spend as much as 25 durian fruit. Preliminary observations on the initial durian peel using a knife, but by using this way many factors that cause accidents and long lead time process. The average time for the start of durian peel 1.1 minutes while peeling durian total with an average time of 3.3 minutes. In the observations were made for 25 pieces of durian with a work accident as much as 4 times. To solve the problem time and productivity happens to need a durian peeler. How it works peeler durian by sticking a durian on a crutch durian, then there are two claws blade left and right to stab the left side and the upper right durian, then the driver is struck so that the claw knife stab to the durian, and the left stick and right-drawn simultaneously to open a durian. The design of this durian peeler using R&D (Research and Development), which is a method of research and product development. The tool development considersefficiency, product effectivity and easeof useof product design. The efficiency of stripping time early durian fruit on average 0.11 minutes while peeling fruit durian total with an average time of 1.02 minutes and accidents reducedand productivity before and after obtained a 2,22 earned 2,27.Specifications tool designed measuring 50 cm long and 92 cm high.
Perancangan Performance Measuremen System (PMS) Perusahaan X di sentra Usaha Mikro Kecil dan Menengah (UMKM) Sepatu Cibaduyut
Authors: Pratama Yohanes Dicka , Sukapto Paulus , Sitompul Carles
Published: November 2022

Micro Small and Medium Enterprises (MSMEs) have a very strategic role in a country. In addition to providing alternative employment, MSMEs also have good staying power in case of difficult economic emergencies. However, on the other hand there are many challenges that are heavy by businesses belonging to SMEs. Many of the same kind of businesses emerging are increasingly tighter. Performance Measurement System (PMS) is a control system of businessconducted by the organization or company. With PMS the company can monitor effectively and efficiently the operational activities undertaken. However, not all performance measurement system frameworks can be implemented on a system, a UMKM. SMEs have different characteristics when compared with large businesses thathave a better management system. Therefore, it is necessary to develop different approaches for designing performance measurement system applied to MSMEs. Company X is a company belonging to Micro Small and Medium Enterprises (MSMEs). Company X is in the center of footwear business Cibaduyut. Company X is a company engaged in the distribution of products produced by footwear pengerajin in the area Cibaduyut. The problem that Company X is experiencing is the ability to control and control the operational activities undertaken. The design of performance measurement system begins with indicators, key performance indicators (KPI). From this research is made 27
Edukasi Pendekatan Ergonomi Total Dalam Praktik Kearifan Lokal Keilmuan Teknik Industri
Authors:   Universitas Katolik Musi Charitas, Setiawan Heri
Published: November 2022

ndustrial Engineering Sciencesischaracterized by the ability to design. Abilityof work system design with object ofmanufacturing and servicesindustrial. The work system design that still involves humans in operational work activities, absolutely requires ergonomic education model. Ergonomics is a multidisciplinary applied science that is described as science, technology and art to identify the design of tools and systems as well as the working environment of human ability, capability and limitations for the creation of healthy, safe, comfortable, and efficient working conditions and environments including the highest possible work productivity. The situation and condition of industry in the region is still dominated by the SME’ssector with minimalhightechnology and standardization. Therefore, it is necessary to design educational model of total ergonomic approach in the relevant Industrial Engineering Scientific Curriculum based on local wisdom in the region to support productivity improvement and progress of SME’ssector. This paper initiated the model and competence of educating the total ergonomic approach through the SHIP study (systemic, holistic, interdisciplinary, and participatory) and the application of Appropriate Technology based on local wisdom that is practical, simple, grounded and participatorytouches the human aspect in its proven work activities can help design work system, improve life quality worker and productivity of SME’s.
PENDEKATAN LEAN MANUFACTURING UNTUK MENGURANGI WASTE PADA LANTAI PRODUKSI CRUMB RUBBER DI PTDJAMBI WARAS JUJUHAN
Authors:   Sekolah Tinggi Teknologi Industri (STTIND) Padang, Ananda Meldia , Ernita Tri , Azizah Faridatul
Published: November 2022

PTDjambi Waras Jujuhan is a company engaged in the production of crumb rubber. During the production process there is still waste or waste, namely defect, waiting and transportation. To reduce waste, a lean manufacturing approach is carried out, so that it is known the causes of waste on the production floor with VALSAT, and provides suggestions for improvements with FMEA. Based on the results of the study, it is known that the causes of waiting are sluggish workers, inaccurate, trouble in the engine, only forklift 1, and uncertain weather. The cause of the defect is the lack of accuracy, fatigue, creeper diameter shrinking, blunt creeper rool, improper knife settings, improper temperature regulation, dirty raw material, thick blanket, high raw material moisture content, and rain. The cause of transportation is that the work procedure is not carried out properly, the worker is only 1, and the forklift is only 1. From FMEA it is known that the RPN value of each waste is waiting for 294, the defect is 252, and transportation is 36. To reduce waste is recommended to reduce energy work, admonishing workers who do not comply with regulations, choosing workers who have good skills in accordance with their fields of work, increasing control factors, improving work methods, and adding transportation equipment.
Peningkatan Produktivitas Menggunakan The American Productivity Center (APC) Pada PT Arta Boga Cemerlang Palembang
Authors:   Universitas Katolik Musi Charitas, Mulyati Meylinda
Published: November 2022

PTArta Boga Cemerlang is the sole distributor that distributes products from a number of manufacturers throughout Indonesia. In the face of competition among businesses in this era of globalization, a company must be supported by strategy and tactics in doing business actions. To determine the level of productivity PT Arta Boga Cemerlang, it is necessary to measure productivity. Productivity measurement performed using The American Productivity Center (APC) model. Model APC also can perform measurements of profitability and improvement price index. The data required for productivity analysis is taken from the year 2012 as the base period until 2015. The results of analysis of productivity measures that have been done show that the level of productivity PT Arta Boga Cemerlang in 2015 increased by 3,010%
Analisis Karakter Organisasi Tenaga Kependidikan UNIKA De La Salle Manado menggunakan Macroergonomic Organizational Questionaire Survey
Authors:   Universitas Katolik De La Salle Manado, Tumewu Tryadi Wilhelmus , Rachmadi Ronald Albert
Published: November 2022

Organizational culture is a system of disseminating trust and values that develops in an organization and directs the behavior of itsmembers. De La Salle Catholic University of Manado is one of the educational institutions that has the motto "Religio, Mores, Cultura", in Latin which means religious, social, and culture. A good organizational culture will certainly make the conditions of the work environment, as well as the relationship between workers to be better which will eventually produce a good result as well. So far there has never been an evaluation of the condition of the current university organization. Therefore, it is necessary to identify and assess the influence of organizational culture characteristics on the current state of the organization with the Macroergonomic Organizational Questionnaire Survey (MOQS) approach. Organizational cultural characteristics that will be used as research variables according to Stephen P. Robbins namely Innovation and risk taking, Attention to detail, Outcome orientation, People Orientation, Team Orientation, Aggressiveness, and Stability. This study resulted in the contribution of each independent variable (X) to the dependent variable (Y) asOrganization and representing the Organizational Culture that was built as follows, Innovation and risk taking :0,10%., Attention to : 1,18%., Outcome orientation : 0,16%., People orientation : 0,06% ,Team Orientation : 65,44%., Aggressiveness : 29,206% , Stability : 31,92%,..
Rancangan Perbaikan Postur Kerja Dan Temperatur Lingkungan Kerja Yang Ergonomi Untuk Meningkatkan Produktivitas Tiang Kotak Sampah
Authors:   Universitas Katolik Musi Charitas, Cahyadi Adhitya , Setiawan Heri
Published: November 2022

CV Tunas Karya Utama is a company engaged in the production of fiber litter boxes. The main product produced is fiber litter box. The problems that occur in production that are not met from the welding workshop, the number of requests per day is only fulfilled 30-40 barrel poles / day and a target of about 40-50 barrels. The results of the Nordic Body Map (NBM) questionnaire interviews and workloads carried out by welding workers found an unnatural/non-ergonomic work posture with 91 total risk complaints (Hight Risk) and a working pulse of 116.61 beats/minute (Medium Risk) with working in hot environments with a temperature of 33ºc-35ºc so that employees become tired quickly. The results of the improved work posture design using the REBA method approach and the working environment temperature with the addition of a tarpaulin roof beside the front porch of the house showed a significant decrease in Musculoskeletal Disorder (MSDs) complaints by 45 levels of risk (Low Risk), the working environment temperature being 25ºc-29ºc and a decrease in the category of workload to light 97.37 beats / minute (Low Risk). Product yields increased by 50 trash cans / day and demand / targets were met.
Metode Decision Tree Dalam Pemilihan Gaya Belajar Pada Siswa Sekolah Dasar
Authors:   ARS University, Mustofa Hanii , Prasetyo Ikbal Andrian , Supriadi Saman , Prasetyo Ramadhan Hendra , Yasri Muhammad , . Fitriyani
Published: November 2022

Learning styles have an important role in the process of teaching and learning activities. By recognizing learning styles, a person will be able to determine a more effective way of learning. Learning styles themselves are divided into three types of groups, namely types of visual learning styles, types of auditory learning styles, and types of kinesthetic learning styles. Individuals at the primary education level or in this case students need guidance and supervision during the learning process when at school or home. If students have practiced habits and effective learning styles since elementary school, it will result in proud learning achievements in the future. This study uses a dataset "Data Set Of Learning Style Preference" and uses the Decision Treealgorithm. The results of this study are to identify each student's learning style and can also be useful for teachers, students, parents or school parties who are related and carry out the learning and learning process both at school and at home to choose the right learning strategy and can be used as a reference for developing Student learning styles are following the type of learning and of course, this supports the achievement of an efficient and effective learning process.
Optimasi Proses Engraving Kayu Mahoni dengan Mata Pahat Conical 3 mm pada Mesin CNC Router G-Weike WK1212 Menggunakan Metode Full Factorial Design dan Optimasi Plot Multi Respon
Authors:   Universitas Dian Nuswantoro, Wijaya Dewa Kusuma , Talitha Tita , Banoel Nur Alfathan
Published: November 2022

This research is a follow-up study from previous research related to the optimization of the engravingprocess with the same object, mahogany wood processed with the G-Weike WK1212 CNC Router machineand3mmConicalbitusingTaguchimethod.Inthisresearch,theoptimizationmethodused is FullFactorial Design with multiresponse plots optimization, where the use of this method also refers to theresults ofprevious studies but its implementation is applied to the cutting process with a 3 mm End Millbit using a CNCRoutermachineandwoodmaterial,thesame one. The purpose of this study is 2, thefirstistocomparetheoptimalityvalueoftheimplementationFull Factorial Design method -multiresponse plots optimization with the results of the previous implementation of the Taguchi method.Second,knowingwhethertheoptimalresultsfromtheimplementation of the Full Factorial Designmethodwith multiresponse plots optimization for the engraving process using a 3 mm Conical bit canbethesame as in the cuttingprocess using a 3mm End Mill bit. The results of this study are known thattheoptimallevel settings from Full Factorial Design method with optimization of multi response plotsarespindlespeed7steps,motionspeed5stepsanddepth 44percut0.5mm.
Kajian Pengelolaan Sampah Makanan Hotel di Kota Padang Berdasarkan Food Recovery Hierachy
Authors: Dewilda Yommi , Riansyah Aditya , Fauzi Mhd.
Published: November 2022

Penelitian ini bertujuan mengkaji pengolahan sampah makanan dari hotel di Kota Padang berdasarkan Food Recovery Hierarchy. Penentuan jumlah sampel dan tata cara sampling timbulan dilakukan berdasarkan SNI 19-3964-1994 dengan lokasi pengambilan sampel pada 12 titik meliputi hotel berbintang, hotel non bintang dan wisma dengan tingkat kepercayaan 99,82%. Hasil penelitian menunjukkan satuan timbulan rata-rata sampah makanan dari hotel di Kota Padang adalah sebesar 1,812 kg/tt/hari dalam satuan berat atau sebesar 4,181 liter/tt/hari dalam satuan volume. Timbulan sampah makanan dari hotel di Kota Padang sebesar 249 L/ hotel. Komposisi sampah organik sebesar 75,30%, sampah plastik 11,35% , sampah kertas 10,72% dan sampah lain-lain 4,86%. Sampah makanan hotel di Kota Padang memiliki potensi daur ulang pada berbagai jenis komponen sampah seperti sampah kertas 47,52%, plastik 46,01%, kaca 77,88%, logam non ferro 100% dan sampah organik 94,35%. Rata-rata berat jenis sampah sebesar 0,450 kg/l, kadar air 38,89%, kadar volatile 58,03%, kadar abu 2,37%, fixed carbon 0,70%, rasio C/N 24,20 dan fraksi biodegradabilitas 59,82%. Pengolahan sampah makanan yang disarankan untuk hotel di Kota Padang berdasarkan food recovery hierarchy berupa reduksi di sumber sebesar 24,75%, mendonasikan makanan 18,82%, memberi makan hewan 18,82%, penggunaan industri 25,75%, dan pengomposan 10,77%. Pengolahan ini dilakukan dengan skala sumber. Sampah yang tidak bisa diolah akan dibuang ke TPA sebesar 2,14%. Berdasarkan karakteristik fisika dan kimia sampah makanan yang dihasilkan hotel memiliki karakteristik yang cocok untuk proses pengomposan ataupun biodegester. Pengolahan ini bisa dilakukan dengan skala sumber oleh masing-masing hotel. Sehingg selain mendapatkan keuntungan, hal ini dapat mengurangi sampah yang masuk ke TPA.