194 research outputs found
A EFEKTIVITAS PENGAJARAN MENULIS TEKS RECOUNT DENGAN MENGGUNAKAN TIKTOK UNTUK SISWA KELAS SEPULUH SMA HASANUDDIN WAJAK
No full textEFEKTIVITAS PENGAJARAN MENULIS TEKS RECOUNT DENGAN MENGGUNAKAN TIKTOK UNTUK SISWA KELAS SEPULUH SMA HASANUDDIN WAJAK
Ulfatul Khasanah1, Enis Fitriani2, Jasuli3
1Pendidikan Bahasa Inggris, IKIP Budi Utomo Malang
e-mail : [email protected]
2 Pendidikan Bahasa Inggris, IKIP Budi Utomo Malang
e-mail : [email protected]
3 Pendidikan Bahasa Inggris, IKIP Budi Utomo Malang
e-mail : [email protected]
Informasi Artikel
ABSTRACT
Submit : 06-08-2022
Diterima : xx-xx-2022
Dipublikasikan : xx-xx-2022
This research is aimed to determine whether classes taught using Tiktok have better results than classes taught without using Tiktok. Students today are familiar with Tiktok because of its easy and flexible access. By using Tiktok students can create their writings so that they are more interesting to read and can be seen by many people. This is a quasi-experimental research. The experimental group was taught using Tiktok and the control group was taught without using Tiktok. The author used a pre-test to find out that both groups had relatively the same background knowledge in the research variables and a post-test to find an increase in scores as a measure of achievement. The author uses tests to calculate and hypothesize.
Keywords : Writing, Recount Text, Tiktok
Penerbit
ABSTRAK
IKIP Budi Utomo
Penelitian ini bertujuan untuk mengetahui apakah kelas yang diajarkan menggunakan Tiktok memiliki hasil yang lebih baik dibandingkan dengan kelas yang diajar tanpa menggunakan Tiktok. Siswa pada era sekarang banyak mengenal Tiktok karena aksesnya yang mudah dan fleksibel. Dengan menggunakan Tiktok siswa dapat mengreasikan hasil tulisannya agar lebih menarik untuk dibaca dan dapat dilihat banyak orang. Ini adalah penilitian quasi eksperimen. Kelompok eksperimen diajar dengan menggunakan Tiktok dan kelompok kontrol diajar tanpa menggunakan Tiktok. Penulis menggunakan pre-test untuk mengetahui bahwa kedua kelompok mempunyai latar belakang pengetahuan yang relatif sama dalam variable penelitian dan post-test untuk menemukan peningkatan nilai sebagai ukuran prestasi. Penulis menggunakan test untuk menghitung dan menghipotesis.
Kata Kunci : Menulis, Teks Recount, Tiktok
 
Aplikasi Anak Pintar Pembelajaran untuk Siswa-Siswi di TK Siswo Utomo Desa Kepuhdoko Tembelang Jombang
Get PDFThe development of learning media is a series of processes or activities carried out to produce learning media based on existing development theories. The media in question is learning media so the development theory used is the theory of learning development. In addition to media, in a teaching and learning process, teachers are also required to use RPP which is a reference for the activity plan that will be carried out during the learning process. Assessment tools are also needed to see the extent to which students have achieved their goals. Thus, the development of learning media is also equipped with RPP and learning outcome tests as requirements in a learning process. Teachers at Siswo Utomo Kindergarten, Kepuhdoko Village, experienced many obstacles/barriers in implementing appropriate and interesting learning. Which of course can make it easier to provide understanding to students at the institution. Thus, learning becomes more active and leads to student-centered learning (SCL). Development of an android-based learning application intended for Siswo Utomo Kindergarten, Kepuhdoko Village, Tembelang District, Jombang Regency. This educational institution was chosen because in TK (Kindergarten) Siswo Utomo is the place where the author teaches and devotes himself to Kepuhdoko Village. The facilities and infrastructure in this institution have not been used optimally to support learning media. Based on the results of observations in the field, namely TK (Kindergarten) Siswo Utomo Kepuhdoko Village, Tembelang District, Jombang Regency, it shows that the condition of the facilities and infrastructure is still far from expectations. Several things found in the field include: (1) the existing learning media facilities are still very minimal in use, (2) teacher skills in designing learning using learning methods are still ineffective
ANALISIS STRUKTUR NOVEL CERMIN JIWA KARYA S. PRASETYO UTOMO.
Get PDFAbstractThe study aims to describe the intrinsic elements contained in the soul mirror novels by S. Prasetyo Utomo, and to describe the result of the research implementation of the research on the intrinsic element of the soul mirror novels on learning Indonesian at school.The metode used is descriptive method with a qualitative form. The data source in this study is a soul mirror novels by S. Prasetyo Utomo.his study managed to find terms of aspects theme, message, plot, setting, character, characterization, point of view, style of laguage. The data obtained are in the form of findings and explanations from aspects of novel intrinsic elements. Data collection techniques were taken using documentary study techniques. Research data in the form of text, sentences, and words contained in the novels. The data collection data is the author himself.the result of this study can be implemented in Indonesian language learning at the twelfth grade of high school level on theory novels text.Keywords:Novels, Structure Analysis, Literatur
Web service untuk Integrasi Data Learning Management Systems dengan Sistem Informasi Akademik di Universitas Budi Luhur
No full textIntelligent System for Recommending Study Level in English Language Course Using CBR Method
No full textOptimization of Cargo Loading System in Logistics Delivery Services using Machine Learning at a Logistics Companies
Get PDFA more precise data-driven approach is required to optimize lead time estimation and improve service quality. This study aims to evaluate and enhance lead time accuracy by optimizing cargo loading into containers using shipment data, including item length, width, height, weight, and volume, as well as vehicle loading capacity. The data are processed to optimize the loading process using a Genetic Algorithm, combined with a Random Forest model for determining cargo stacking and rotation. The dataset is analyzed using the CRISP-DM methodology to identify patterns, trends, and inter-variable relationships that influence the optimization of cargo placement within containers. These algorithms were selected due to their ability to capture complex relational patterns and their relevance to logistics shipment data. Model performance is evaluated using accuracy metrics and a confusion matrix to comprehensively assess predictive performance. In addition, the results of the machine learning–based models are compared to identify significant improvements in estimation accuracy. The results indicate that the Genetic Algorithm achieved a fitness value of 0.836142 in Scenario 1 without Random Forest and 3.127948 in Scenario 2 when combined with Random Forest. Furthermore, the Random Forest model achieved an accuracy of 99.23% for stacking prediction and 99.33% for rotation prediction. The developed system effectively supports optimal cargo loading optimization through accurate predictive models, enabling data-driven decision-making. With the implementation of this model, logistics companies can improve operational efficiency, minimize the risk of delays, and deliver superior customer service
PERJANJIAN SEWA MENYEWA BUS WISATA PADA PERUSAHAAN OTO BUS DI PURWOKERTO
Get PDFMainland of transport ceiling beam important in activity of human Facility mainland of transport many various, starting facility transport the train until at general motor who can shape of little car as transport in city even shape of the bus. Operational from the Bus as transport the people also many kind, there were only the aim as facility transportation escort area there's also who tour service field. As facility tour transportation, tour bus to be regular based on institution number 9, 1990th about tourism all at once also obey at the rule as an activity of the effort (shape of limited Company Institution Number I, 1995th) as an activity of the effort who oriented at service also connected with decision institution number 8, 1999th about protecting of consumer operational tour bus in a connecting agreement rental tour bus leaving many problem, around the bottom and consequence of law from agreement rental mentioned, especially connected responsible all side face of done wan achievement who was done, with problem the risk of responsibility in condition of wan achievement
The research of method who uses pass approach of juridical empiric by • collected primary of data and secondary of data.
The result of research that oto bus company in agreement rental tour bus io responsibility full way face of tour bus condition who will be operated goisi of physic condition more machine condition by guarantee can be uses for far travelling, businessman tour bus also guarantee save from passenger and fit drive of driver.
In condition happen thing overmuch! , so contain from agreement that moment not to bind for all side to execution, overmuch/ condition to free all side from each responsibility for giving contra achievement because to be judgement overmuch[ as condition who can not be prediction and not wanted by all side to happen.
Done wan achievement will consequences damage from one of side wan achievement can canceled from execution of commitment responsible of law from side who consequences wan achievement can shape of substitution of damage, or fining even can also only apologize and can also all of things.
Pengangkutan darat berperan penting dalam aktivitas manusia, sarana pengangkutan darat beraneka ragam, mulai sarana transportasi Kereta api sampai pada kendaraan umum yang dapat berbentuk mobil kecil sebagai angkutan dalam kota maupun yang berbentuk Bus. Operasional dari bus sebagai angkutan orang juga bermacam-macam, ada yang hanya bertujuan sebagai sarana transportasi antar wilayah ada juga yang mengkhususkan sebagai kegiatan usaha di bidang pelayanan jasa angkutan parawisata. Sebagai sarana angkutan parawisata, Bus parawisata diatur berdasarkan Undang-Undang Nomor 9 Tahun 1990 Tentang Kepariwisataan sekaligus juga tunduk pada aturan sebagai kegiatan usaha (dalam bentuk Perseroan Terbatas Undang-Undang Nomor 1 Tahun 1995) sebagai kegiatan usaha yang berorientasi pada jasa juga terkait dengan ketentuan Undang-Undang Nomor 8 Tahun 1999 Tentang Perlindungan Konsumen. Operasional bus wisata di dalam suatu hubungan perjanjian sewa menyewa bus wisata meninggalkan banyak masalah, seputar penerapan dan akibat hukum dari perjanjian sewa menyewa tersebut, terutama menyangkut tanggungjawab para pihak terhadap tindakan wanprestasi yang dilakukan. Serta problem pertanggungan resiko dalam kondisi wanprestasi .
Metode penelitian yang digunakan melalui pendekatan yuridis empiris, dengan mengumpulkan data primer dan data sekunder.
Hasil penelitian Bahwa perusahaan oto bus dalam perjanjian sewa menyewa bus wisata bertanggungjawab secara penuh terhadap kondisi bus wisata yang akan dioperasikan baik kondisi fisik terlebih kondisi mesin dengan jaminan layak digunakan untuk pedalanan jauh, pengusaha bus wisata juga menjamin keselamatan dari penumpang dan kelayakan supir yang mengemudi.
Dalam hal terjadinya kondisi overmacht, maka isi dari perjanjian saat itu juga tidak mengikat bagi para pihak untuk dilaksanakan, keadaan overmacht membebaskan para pihak dari masing-masing tanggungjawab untuk memberikan contraprestasi, karena dianggap overmacht sebagai keadaan yang tidak dapat diprediksikan dan tidak diingini oleh para pihak untuk terjadi.
Tindakan wanprestasi akan mengakibatkan kerugian dari salah satu pihak, wanprestasi dapat membatalkan perjanjian, wanpresatsi ringan selama dapat dibuktikan akan mengakibatkan penundaan dari pelaksanaan perjanjian, tanggungjawab hukum dari pihak yang mengakibatkan wanprestasi dapat berupa ganti rugi, atau denda namun dapat juga hanya permintaan maaf dan bisa juga kesemuanya hal tersebut
Rancang Bangun Pengukur Suhu Tubuh Dengan Multi Sensor Untuk Mencegah Penyebaran Covid-19
No full textDuring the COVID-19 pandemic, the price of preventive equipment such as masks and hand sanitizers has increased significantly. Likewise, thermometers are experiencing an increase and scarcity, this tool is also sought after by many companies for screening employees and guests before entering the building to detect body temperatures that are suspected of being positive for COVID-19. The use of a thermometer operated by humans is very risky because dealing directly with people who could be ODP (People Under Monitoring/Suscpected ) or even positive for COVID-19, therefore we need tools for automatic body temperature screening and do not involve humans for the examination. This research uses the MLX-90614 body temperature sensor equipped with an ultrasonic support sensor to detect movement and measure the distance between the forehead and the temperature sensor so that the body heat measurement works optimally, and a 16x2 LCD to display the temperature measurement results. If the measured body temperature is more than 37.5 ° C degrees Celsius then the buzzer will turn on and the selenoid door lock will not open and will send a notification to the Telegram messaging application. The final result obtained is the formation of a prototype device for measuring body temperature automatically without the need to involve humans in measuring body temperature to control people who want to enter the building so as to reduce the risk of COVID-19 transmissio
Adaptive E-Learning System Berbasis Vark Learning Style dengan Klasifikasi Materi Pembelajaran Menggunakan K-NN (K-Nearest Neighbor)
Get PDFThis research is about Adaptive E-Learning System Based on VARK (Visual, Aural, Read/Write & Kinesthetic) Learning Style With Classification of Learning Materials Using K-NN (K-Nearest Neighbor). The world of education today must follow technological developments, one of which is by utilizing learning using e-learning, one of the shortcomings in e-learning that currently exists is that most provide the same material to all students, in fact every student has a different learning style. different in absorbing learning material. This Adaptive E-Learning System adopts VARK Learning Style in classifying student learning styles into four classes (Visual, Aural, Read/Write & Kinesthetic). At the beginning of using e-learning students are required to fill out a questionnaire based on the VARK instrument and will be assigned to one of the four classes according to their learning style tendencies. Students will get material according to their class with the K-NN (K-Nearest Neighbor) classification method. In this study, the classification of learning materials used 60 learning materials as datasets with visual, aural, read/write & kinesthetic labels, with 48 training data and 12 testing data divided into 91% accuracy, 93% precision and 91% recall.Penelitian ini tentang Adaptive E-Learning System Berbasis VARK (Visual, Aural, Read/Write & Kinesthetic) Learning Style Dengan Klasifikasi Materi Pembelajaran Menggunakan K-NN (K-Nearest Neighbor). Dunia pendidikan saat ini harus mengikuti perkembangan teknologi, salah satunya dengan memanfaatkan pembelajaran dengan menggunakan e-learning, salah satu kekurangan dalam e-learning yang ada pada saat ini sebagian besar memberikan materi yang sama kepada semua siswa, pada kenyataannya setiap siswa mempunyai gaya belajar yang berbeda-beda dalam menyerap materi pembelajaran. Adaptive E-Learning System ini mengadopsi VARK Learning Style dalam mengelompokkan gaya belajar siswa ke dalam empat kelas (Visual, Aural, Read/Write & Kinesthetic). Pada awal menggunakan e-learning siswa diharuskan mengisi questioner berdasarkan instrumen VARK dan akan dimasukkan ke salah satu dari empat kelas tersebut sesuai kecenderungan gaya belajarnya. Siswa akan mendapatkan materi sesuai dengan kelasnya dengan metode klasifikasi K-NN (K-Nearest Neighbor). Pada penelitian ini klasifikasi materi pembelajaran menggunakan 60 materi pembelajaran sebagai dataset dengan label visual, aural, read/write & kinesthetic, dengan pembagian 48 data training dan 12 data testing mendapatkan akurasi sebesar 91%, presisi sebesar 93% dan recall sebesar 91
Analisis Sentimen Saran Pengguna Mandatory E-Learning Menggunakan Text Mining pada Learning Management System: Sentiment Analysis of User Suggestions for Mandatory E-Learning Using Text Mining on the Learning Management System
Get PDFMandatory E-learning is a required training for Ministry of Finance’s employees through Kemenkeu Learning Center (KLC) as LMS, where text-based recapitulation reports for participant’s feedback are not available due to large volume of participant’s evaluation data. Sentiment analysis using text mining is necessary to classify the feedback into positive, negative, and neutral labels, enabling the recapitulation process to be automated, faster, and more accurate. Using Knowledge Discovery in Databases (KDD) framework, the process involves data selection and manual labeling, text preprocessing (data cleansing, case folding, stop word removal, stemming, tokenizing, filtering tokens by length), data transformation (TF-IDF weighting, cosine similarity measurement, and resampling using random undersampling/RUS to reduce majority label). Modeling phase compares the best combination of algorithms covers Support Vector Machine (SVM), Multinomial Naïve Bayes, K-Nearest Neighbor (KNN), and Random Forest using a 90:10 training-to-testing data ratio. This research show that SVM with cosine similarity is the best algorithm scenario, achieving accuracy, precision, recall, and f1-score for negative label of 97.01\%, 96.22\%, 95.82\%, and 96.02\%, respectively, within 48.71 seconds, which \textbf{can be leveraged} to improve quality of e-learning’s report faster, more accurate, and to be automated.Mandatory E-learning merupakan pembelajaran wajib pegawai Kemenkeu di LMS Kemenkeu Learning Center/KLC di mana pelaporan rekapitulasi saran peserta berupa teks tidak tersedia disebabkan besarnya jumlah data evaluasi peserta. Analisis sentimen dengan metode text mining diperlukan guna mengklasifikasi saran peserta ke label positif, negatif, dan netral agar rekapitulasi terotomatisasi, cepat, dan akurat. Dengan framework Knowledge Discovery in Databases/ KDD, dilakukan pemilihan data dan pelabelan manual, text preprocessing (data cleansing, case folding, stop word removal, stemming, tokenizing, filter token by length), transformasi data (pembobotan TF-IDF, pengukuran cosine similarity, dan resampling menggunakan random undersampling/RUS untuk mengurangi label mayoritas). Tahap pemodelan membandingkan kombinasi algoritma terbaik dari Support Vector Machine/SVM, Multinomial Naïve Bayes, K-Nearest Neighbor/KNN, dan Random Forest pada rasio data training: testing = 90:10. Hasil penelitian menunjukkan SVM dengan cosine similarity sebagai skenario algoritma terbaik dengan nilai akurasi, presisi, recall, dan f1-score pada label negatif berturut-turut, yaitu 97,01\%, 96,22\%, 95,82\%, dan 96,02\%, dalam waktu 48,71 detik, sehingga \textbf{dapat dimanfaatkan} untuk meningkatkan kualitas pelaporan e-learning lebih cepat, akurat, dan terotomatisasi
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