E-Journal Portal System Universitas Trilogi
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Detection of Hate-Speech Tweets Based on Deep Learning: A Review
Cybercrime, cyberbullying, and hate speech have all increased in conjunction with the use of the internet and social media. The scope of hate speech knows no bounds or organizational or individual boundaries. This disorder affects many people in diverse ways. It can be harsh, offensive, or discriminating depending on the target's gender, race, political opinions, religious intolerance, nationality, human color, disability, ethnicity, sexual orientation, or status as an immigrant. Authorities and academics are investigating new methods for identifying hate speech on social media platforms like Facebook and Twitter. This study adds to the ongoing discussion about creating safer digital spaces while balancing limiting hate speech and protecting freedom of speech. Partnerships between researchers, platform developers, and communities are crucial in creating efficient and ethical content moderation systems on Twitter and other social media sites. For this reason, multiple methodologies, models, and algorithms are employed. This study presents a thorough analysis of hate speech in numerous research publications. Each article has been thoroughly examined, including evaluating the algorithms or methodologies used, databases, classification techniques, and the findings achieved. In addition, comprehensive discussions were held on all the examined papers, explicitly focusing on consuming deep learning techniques to detect hate speech
Interactive Multimedia as Information Media Parasitic Infection with Multimedia Development Life Cycle Method
This study focused on the problem of lack of interactive multimedia-based educational information media that is interesting as a provider of information about parasitic infections in humans. This parasitic infection is very dangerous, especially for children who still lack knowledge about it. The aim of this research is to provide educational information media to the wider community, especially at the Seberang Padang Health Center, about parasitic infections in a way that is as interesting as possible and easy to use. Interactive multimedia is a solution to this problem. This research uses the Multimedia Development Life Cycle Method as a guide in building interactive multimedia with the stages of Concept, Design, Material Collecting, Assembly, Testing and Distribution. The results of the alpha test showed that all features of this interactive multimedia can function properly. A beta test was conducted on 30 respondents from the public who accompanied patients to the Seberang Padang Health Center. As a result, this interactive multimedia received a rating of 4.54 out of 5. Therefore, this interactive multimedia is very good and suitable for use as an educational medium for information about parasitic infections. With this interactive multimedia-based educational information media, it is hoped that the wider community can better understand and be aware of parasitic infections and preventive measures that can be taken to avoid these infections
PENGADAAN PENANAMAN BIBIT SAYUR MENGGUNAKAN MEDIA POLYBAG DI DESA BIAUNG KABUPATEN TABANAN
Media tanam merupakan salah satu faktor penting yang menjadi penentu baik buruknya pertumbuhan suatu tanaman dan hasilnya. Media tanam sangat beragam jenisnya salah satunya yaitu media polybag, polybag sangatlah lumrah dalam hal pembibitan dan bertanam guna menghemat lahan pertanian. Polybag sebagai media tanam sangat banyak faktor pendukungnya antara lain mudah diperoleh dan harganya murah. Hal yang melatar belakangi pengadaan penanaman bibit sayur menggunakan media polybag ini karena adanya masalah kurangnya tata cara pengolahan lahan pertanian yang sempit di desa Biaung dan kurangnya pemanfaatan penanaman menggunakan media polybag. Program kerja ini bertujuan untuk menambah pengetahuan penduduk desa Biaung bahwa berkebun dan menanam sayuran tidak hanya dilakukan dilahan yang luas, tetapi bisa juga menggunakan media polybag guna pemanfaatan lahan kosong di halaman rumah. Dalam laporan ini akan dijabarkan bagaimana tata cara pemanfaatan atau cara penanaman menggunakan media polybag. Upaya ini diharapkan dapat meningkatkan kesadaran masyarakat mengenai manfaat polybag sebagai media tanam guna pemanfaatan lahan kosong di halaman rumah, serta diharapkan agar masyarakat dapat memahami dan merealisasikan penanaman bibit sayur menggunakan media polybag. Metode yang dilakukan adalah dengan praktek langsung penanaman bibit sayuran ke polybag bersama masyarakat di balai desa Biaung. Dengan demikian kegiatan penanaman bibit sayuran menggunakan media polybag ini cukup efekif dilakukan dan disarankan agar direalisasikan sesuai dengan fungsiny
DATA MINING DALAM PREDIKSI JUMLAH PASIEN DENGAN REGRESI LINEAR DAN EXPONENTIAL SMOOTHING
The number of patient visits is one of the main factors that determine the strategies and policies decided by hospital management because the number of patients affects all major aspects of hospital services, such as drugs and medical supplies stocks, the number of doctors and nurses, the rooms capacity, and many other services. Hospital ‘XYZ’ needs a method to predict the number of patients that will visit the hospital in order to provide the best service efficiently. Previous studies have shown that the Linear Regression and Exponential Smoothing methods produced good predictive values, but no research has been found that comparing the two methods. To fill this gap, the purpose of this study is to compare the prediction results of the number of patients between Linear Regression method and Exponential Smoothing method. Number of daily patients data in 2021 was collected using Data Mining. The prediction comparison was carried out two times, first is the prediction of the daily number of patients and the second is the prediction of the number of weekly patients. The first comparison showed that Linear Regression predicted better by having 23.90% MAPE, while Exponential Smoothing had 27.62%. In the second prediction, Linear Regression again produced a better MAPE value with 4.66%, while Exponential Smoothing was 6.82%
PENGARUH KINERJA PROFITABILITAS, UKURAN PERUSAHAAN DAN LATAR BELAKANG CEO TERHADAP MANAJEMEN LABA
Penelitian ini bertujuan untuk mengetahui pengaruh kinerja profitabilitas, ukuran perusahaan, latar belakang CEO yang terdiri dari pengalaman dan kemampuan terhadap manajemen laba. Pemilihan sampel adalah perusahaan yang terdaftar di Bursa Efek Indonesia yang termasuk dalam perusahaan sektor barang konsumen primer dengan periode pengamatan 2019-2021. Berdasarkan kriteria yang ditujukan maka diperoleh sampel sebanyak 62 perusahaan dengan tahun pengamatan 3 tahun, sehingga total berjumlah 186 data. Pengujian hipotesis menggunakan uji panel dengan alat eviews. Hasil diperoleh bahwa seluruh variabel independent mempengaruhi manajemen laba, profitabilitas dengan ukuran ROA dan ukuran perusahaan berpengaruh positif terhadap manajemen laba serta Pengalaman dan Latar kemampuan CEO berpengaruh negatif terhadap manajemen laba
FAKTOR-FAKTOR YANG MEMENGARUHI PENGHINDARAN PAJAK PADA PERUSAHAAN MANUFAKTUR YANG TERDAFTAR DI BURSA EFEK INDONESIA
The purpose of this study is to obtain empirical evidence and analyze the effect of the independent variable on the dependent variable. The independent variables used in this study are firm size, firm age, independent board of commissioners, audit committee, sales growth, and leverage. While the dependent variable in this study is tax avoidance. The object of research used in this study is a manufacturing company listed on the Indonesia Stock Exchange in 2018-2020. The number of samples in this study were 60 companies with a total of 180 data. The method used in this research is purposive sampling method and this study uses multiple regression analysis to test the hypothesis. The result of this research is that sales growth has an effect on tax avoidance. Meanwhile, firm size, firm age, independent board of commissioners, audit committee, and leverage have no effect on tax avoidance.Keywords: Audit Committee; Company Age; Company Size; Independent Board of Commissioners; Leverage; Sales Growth; Tax Avoidanc
A Study of Prediction Model for Capture Fisheries Production in Indonesian Sea Waters Using Machine Learning
The potential for capture fisheries in Indonesia is a priceless wealth. This wealth has not been explored optimally. Fisheries resources are included in the category of renewable resources whose sustainability needs to be considered. This is important in maintaining food security which will increase over time, due to population growth. Capture Fisheries Production Prediction Model is needed to find out what determining variables affect capture fisheries production. There are many methods for predicting, the method that is widely used today is using machine learning since it ability to handle complex jobs with large input data. This research is a literature study, which aims to: (1) identify and analyze machine learning methods that are suitable for predicting capture fisheries production, and (2) identify variables that can affect capture fisheries production. The results of the study show that the Neural Network method is most widely used as a predictive model. In addition, the Random Forest and Linear Logistics methods provide better accuracy results. The results of the study also succeeded in finding 12 determining variables for the capture fisheries production prediction model
Travel Journal Application as an Android-Based Traveling Visitor Using Firebase
Traveling is an activity that people do today to take a break from work, study or just enjoy the beauty of nature. But sometimes people forget whether they have visited a certain place. Photos in their gallery, which are not organized in their smartphone's internal storage and are not accompanied by a placemark, will cause someone to forget exactly what happened in a place. In this study, an Android-based application recording system will be designed to make the traveler who wanted to take photos during their vacation easy. This application uses real-time Firebase database features, Mapbox maps API, and GPS technology to differentiate between every photo was being taken. Firebase has the ability to automatically update changes made by one user to another and notify them simultaneously. This feature is useful for sharing happy moments with friends on the trip. And this application will send a reminder again when they visit a place not far from the one they are currently visiting
RANCANG BANGUN PLATFORM DIGITAL MARKETING EVENT JAKARTA BERBASIS WEBSITE
Perkembangan sistem informasi yang sedemikian pesatnya telah membawa dunia memasuki era baru yang lebih cepat dari yang pernah dibayangkan sebelumnya. Kemajuan teknologi informasi dan internet saat ini merupakan acuan dalam pembuatan dan pengembangan ide skripsi yang berjudul “Rancang Bangun Platfotm Digital Marketing Event Jakarta Berbasis Website”. Penelitian yang digunakan dalam skripsi ini yaitu kualitatif deskriptif. Data yang di ambil dari hasil observasi langsung ke objek yang di teliti selanjutnya dianalisis untuk perencanaan pembuatan platfrom ini. Pembuatan platform digital marketing event berbasis website ini menggunakan bahasa pemrograman PHP menggunakan framework Laravel dan MySQL database untuk penyimpanan data. Hasil dari implementasi platform website ini adalah sistem user dapat membuat dan mengelola event serta dapat langsung mem-booking event yang tersedia di dashboard website
SPIRITUALITAS DALAM PENDIDIKAN KOSMIK MONTESSORI PADA ANAK USIA DINI
Penelitian ini merefleksikan konsep pendidikan kosmis yang dikemukakan oleh Maria Montessori sangat berkorelasi dengan visi kosmis dan rencana kosmis. Pendidikan Kosmik dianggap di sini sebagai arah fundamental dalam inti aslinya pemikiran Maria Montessori sejak awal abad kedua puluh. Di antara berbagai tatanan pertimbangan yang mendukung aktualitas pendidikan kosmik, ada dua di antaranya menyangkut makna spiritualitas dan wawasan spiritual yang dapat diperoleh dari kajian pendidikan kosmik yang bertujuan untuk menciptakan interaksi dengan berbagai bidang disiplin ilmu sebagai kesatuan visi dan pengembangan ilmu pengetahuan. Berkaitan dengan tingkat eksistensial, pendidikan kosmik mencakup dan merangkum konsep-konsep pendidikan ekologi, pendidikan untuk perdamaian dan pendidikan untuk dunia, hingga pada titik di mana manusia dapat mengingat kembali implikasi pendidikan etika dan estetika. Penelitian ini menggunakan pendekatan kualitatif. Sebab sumber data maupun hasil penelitian dalam penelitian kepustakaan (library research) berupa deskripsi kata-kata