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ZK Abdurahman Baizal
Universitas Telkom
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EFL secondary school students' experiences in performing ideas using Prezi presentation Nur Jamilah; Mutmainnah Mustofa; Sugeng Hariyanto; Fatimatus Zahroh
Journal on English as a Foreign Language Vol 12, No 2 (2022): Issued in September 2022
Publisher : Institut Agama Islam Negeri (IAIN) Palangka Raya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23971/jefl.v12i2.3547

Abstract

Using sophisticated technology in EFL has been a source of considerable debate. As a part of the Web 2.0 movement, Prezi lets users generate, produce, and preserve virtual demonstrations. While a substantial study has been conducted on the benefits and downsides of utilizing Prezi presentations, there is scarce research on students' experiences with using Prezi. The study aims to look at pupils' perspectives on using Prezi in learning English to fill the gap. Twenty students from a private secondary school in Mojokerto, Indonesia, were examined. This exploratory qualitative case study used a purposive sampling strategy. They answered ten interview questions, which the researchers examined using content analysis. The findings revealed that students' experiences using Prezi and making Prezi demonstrations could be divided into four primary topics: serviceability, effectiveness, design, and hindrances. Using Prezi, students experienced producing more interactive visuals for their production than standard PowerPoint slides. In line with this study, Prezi's revolutionary features transform the report from a monotonous and direct way into a fascinating, stunning, practical, and nonlinear style. The findings of this study, in practice, demand the implementation of academic tutorials for classroom teachers to construct their core principles of teaching utilizing the Prezi presentation.
Trend Tema Penulisan Skripsi Ilmu Sejarah 2006-2020 ( Studi Historiografi ) Dian Safitri; Hendra Naldi
Jurnal Kronologi Vol 3 No 4 (2021): Jurnal Kronologi
Publisher : Jurusan Sejarah FIS UNP

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (332.413 KB) | DOI: 10.24036/jk.v3i4.298

Abstract

This study aims to determine the trend in choosing the theme of History Science thesis in 2006-2020 and also to explain the reason why History Student from 2006-2020 chose the title of History Science Theme. In writing this research using the method of conten analysis (Conten Ananlysis) which consists of the following steps data collection, content analysis, and writing (Description). Based on the results of the research, it was found that in 2006-2020 the tendency of students to choose in the field of historical Science was the Biography theme, after that students tended to take the Socio-Ekonomic, Ekonomic, Institutional and Social Themes compared to other themes, in addition, the Tedency of choosing this theme is closely related to the motivation of the students themselves, in addition to the motivational factors of the students themselved, the selection of this them field is also external factors that couse students to tend to take the theme, in cluding the studen supervisors who choose the theme because they now that with the title theme they wiil get the lecturer, because if the supervisor guides regularly and quickly, our thesis will be ready quickly.
Analisis Kemampuan Membaca Permulaan Selama Pembelajaran Daring Pada Peserta Didik Kelas 2 Endang Purwati; Dedi Romli Triputra; Didik Tri Setiyoko
Jurnal Ilmiah Wahana Pendidikan Vol 8 No 16 (2022): Jurnal Ilmiah Wahana Pendidikan
Publisher : Peneliti.net

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (186.542 KB) | DOI: 10.5281/zenodo.7063809

Abstract

This study aims to determine the initial reading ability during online learning in grade 2 students. This study uses qualitative research with data collection techniques using interviews, observation and documentation. The validity of the data is done by triangulation. The data analysis technique used is data reduction, data presentation, and conclusion drawing. Based on the results of the study, it was concluded that the initial reading ability during online learning, the Covid-19 pandemic, students had a decline in learning, students had to face the online learning process (On the Network). Schools have a solution by implementing a combination of offline and online learning to make it easier for students to learn. The implementation of early reading skills activities during online learning at SD Negeri Sidamulya 01, the teacher sends materials about beginning reading. Students can mention the letters of the alphabet from A to Z, read and connect words and sentences, then recite in the form of videos sent via Whatsapp Groups or Video Calls and students can take direct reading tests with class teachers. For factors that hinder the ability to read early during online learning, lack of teacher guidance, internet access is not smooth, do not have a device (mobile phone), lack of parental assistance.
The Effect of Pediococcus pentosaceus on Stool Frequency, TNF-α Level, Gut Microflora Balance in Diarrhea-induced Mice Yuliawati Yuliawati; Yusri Dianne Jurnalis; Endang Purwati; Gustina Lubis
The Indonesian Journal of Gastroenterology, Hepatology, and Digestive Endoscopy VOLUME 13, NUMBER 2, August 2012
Publisher : The Indonesian Society for Digestive Endoscopy

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (717.058 KB) | DOI: 10.24871/132201297-102

Abstract

Background: Enteropathogenic Escherichia coli (EPEC) are pathogenic microorganisms causing inflammation and imbalanced gut microflora that may result in diarrhea. Pediococcus pentosaceus (P. pentosaceus) isolated from “dadih” (milk curd) are used as probiotics containing lactic acid bacteria (LAB), which are useful to improve the balance of intestinal microflora and inhibit the growth of pathogenic microorganisms. This study was aimed to recognize the effect of P. pentosaceus supplementation on stool frequency, tumor necrosis factor-α (TNF-α) and gut microflora balance in experimental mice with EPEC-induced diarrhea. Method: The study was conducted in 60 white mice (Mus muscullus) at Biomedical Laboratory, Biotechnology/Production and Animal Husbandry Technology Institute, University of Andalas, Padang in April 2012. The frequency of stool, TNF-α level and microflora balance of the mice were measured before and after the EPEC-induced diarrhea and following the administration of antibiotics. Statistical analysis was performed using ANOVA and Duncan test. Results: The highest mean stool frequency was found in positive control group, i.e. 55 times, which was reduced significantly after 12-hour P. pentosaceus supplementation in a dose of 2 x 108 cfu/g into 18 times. The mean TNF-α level in positive control group was 128.17 pg/mL that lowered significantly to 48.0 pg/mL. The highest mean total number of LAB was 97.0 x 107 cfu/g, which was significantly different from positive control group of 7 x 107 cfu/g. Conclusion: P. pentosaceus supplementation in a dose of 2 x 108 cfu/g may reduce the stool frequency, lower TNF-α and improve the gut microflora balance following 12-hour supplementation in diarrhea-induced mice. Keywords: Pediococcus pentosaceus, TNF-α, diarrhea, EPEC, gut microflora
Chatbot-Based Movie Recommender System with Latent Semantic Analysis on Telegram Platform Using Dialog Flow Antonius Randy Arjun; Z.K. Abdurahman Baizal
Journal of Computer System and Informatics (JoSYC) Vol 3 No 4 (2022): August 2022
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The growth in the number of movies continues to be experienced every year, making it difficult for users to choose the right movie. The recommender system is an alternative to being able to solve the problem. In many studies, recommender systems have been developed, but in their use, they do not apply intensive interaction between users and the system created. In this study, we developed a chatbot to help implement a movie recommender system that ensures users can interact intensively with the system with natural language. The chatbot was created using Dialog low to enable the system to recognize the natural language. One way to understand a text concept is to find the relationship between the text concepts. Latent Semantic Analysis (LSA) can implement this, where LSA has the advantage of extracting a text and making a statistical representation in the form of a term-document matrix (TF-IDF) using a lower dimension (low-rank approximation). Singular Value Decomposition (SVD) can help decompose a large matrix into a matrix with small dimensions to determine a text's overall meaning. The relationship between text concepts with the highest or almost the same probability value can be used as an output to respond to the user. From the test results, the chatbot shows that the match rate between system and user responses is 86%. Thus, the developed chatbot can be used well in providing interactive movie recommendations.
Question Answering System at the Kingdom of Sumedang Larang with Naïve Bayes Method Richo Fedhia Saldhi; Z.K.A. Baizal; Ramanti Dharayani
Journal of Computer System and Informatics (JoSYC) Vol 3 No 4 (2022): August 2022
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v3i4.2079

Abstract

The Sumedang Larang Kingdom is one of the kingdoms in Indonesia which was founded by Prabu Tajimalela in 721 AD. The Sumedang Larang Kingdom is known as the national history of Indonesia. Still, most of the current generation does not know the history of the Sumedang Larang Kingdom, especially the younger generation. Therefore, we developed a question-and-answer system to seek information about the Sumedang Larang Kingdom. With the development of information technology, research on question answering systems is applied to research on Biomedical Questions to produce correct answers. Our system will help literacy about the Sumedang Larang Kingdom for the younger generation, especially students, and increase Indonesian cultural assets. The QA system aims to generate and provide precise short answers to user questions by automatically using information extraction and natural language processing methods. To collect and create questions, we use the concept of ontology. In addition, we use the Natural Language Naïve Bayes method to answer user questions. We built a QA system that can help students find information about the history of the Sumedang Larang Kingdom. Based on the accuracy of the results of testing the method we propose. In our evaluation, we involve the Decision Tree method as the base model. We note that the accuracy of the Naïve Bayes method is higher than that of the Decision Tree. The accuracy result of Naïve Bayes at the ratio of 8:2 and 7:3 is 67%, while the Decision Tree is only 56%.
Implementation of Dimensionality Reduction with SVD to Improve Rating Prediction in Recommender System M. Naufal Mu'afa; Z.K.A. Baizal
Journal of Computer System and Informatics (JoSYC) Vol 3 No 4 (2022): August 2022
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v3i4.2110

Abstract

Recommender system is widely implemented in various fields. Collaborative Filtering is one of the most used recommender system paradigms because it is easy to use. K-means clustering algorithm is widely use in Collaborative Filtering. This algorithm can predict the item rating that will be given by a user. Rating can be predicted by calculating the average rating of the item. The clustering performance of this algorithm is low because this algorithm selects initial centroid randomly. This causes high errors in the item rating prediction. To obtain lower error, we propose dimensionality reduction with Singular Value Decomposition (SVD). SVD is able to factorize the clustering result data and reduce dimensionality of the data. Dimensionality reduction with SVD can be carried out by removing non-dominant characteristics of the data. This study uses the result of factorization to calculate the similarity between clusters. The value of similarity between clusters is used to predict the rating of an item that will be given by a cluster. The experimental results show that the combined method of K-means and SVD can produces RMSE up to 8.936% lower than the K-means method.
Analisis Manajemen Pengelolaan Dana Desa di Desa Jungke Kecamatan Permata Kabupaten Bener Meriah Irhas Jaya; Humaizi Humaizi; Nurman Achmad
PERSPEKTIF Vol. 9 No. 2 (2020): PERSPEKTIF - July
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/perspektif.v9i2.3544

Abstract

This study aims to determine the Management of Village Fund Management in Jungke Village Permata District Bener Meriah Regency and the factors that influence it to achieve these objectives used qualitative research methods by breaking down the data descriptively. Data collection techniques were carried out by interview, document and archive observation using qualitative descriptive analysis techniques. The results of the study show: First the management stages of Village Fund Management in Jungke Village include Planning and Implementation of Reporting and Accountability Administration. Management of Village Fund Management is carried out by the Government of Jungke Village, Permata District, Bener Meriah Regency, and has followed the technical guidelines that have been regulated in the legislation. But in the process is still not optimal. This can be seen from the process of reporting and accountability that is experiencing delays. For the Reporting Process of Realizing the Use of Village Funds not in accordance with the predetermined schedule, causing delays in disbursing funds for the next stage. Likewise with the Responsibility for the use of village funds so that the community cannot evaluate the results of the work of the village government and the Accountability to the Regional Government which is not carried out in a timely manner. Second: Factors that influence the management of village funds include supporting and inhibiting factors. Supporting factors are community participation, facilities and infrastructure, while the inhibiting factors are human resources, technical guidelines for managing village funds that change every year and communication.
Budaya Kerja Aparatur Sipil Negara pada Kantor Camat Idi Tunong Kabupaten Aceh Timur Cut Sri Maulina; Humaizi Humaizi; Nurman Achmad
PERSPEKTIF Vol. 9 No. 2 (2020): PERSPEKTIF - July
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/perspektif.v9i2.3546

Abstract

The purpose of this study was to look at work culture and the factors that influence the work culture of employees in the Idi Tunong Subdistrict Office. Descriptive research method with a qualitative approach. Data collection techniques are through observation, interviews and documentation. The informants of this research are the key informants namely the Idi Tunong Sub-District Head and the Public and Personnel Kasubbag, the main informants are employees of the Idi Tunong Sub-District Office employee and additional informants are the people who get the services of the Idi Tunong Sub-District Office. Data analysis techniques are data reduction, data presentation, and drawing conclusions. The results of this study are the work culture of the Idi Tunong Sub-District Office in terms of information disclosure, mutual respect, cooperation between employees has been carried out well only in employee work discipline is still not optimal and needs to be improved. Meanwhile, for factors that influence the work culture of the Idi Tunong Subdistrict Office such as organizational culture, external culture, learning process and motivation have an influence on the work culture of the Idi Tunong Subdistrict Office, while for leader behavior, employee selection, mission clarity, mission certainty, exemplary leaders still have not influenced the work culture in the Idi Tunong Sub-District Office.
QUESTION ANSWERING FOR SUMEDANG LARANG KINGDOM USING THE MULTILAYER PERCEPTRON ALGORITHM Arifa Nur Hasanah; Abdurahman Baizal; Ramanti Dharayani
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 7, No 4 (2022)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v7i4.3206

Abstract

In Indonesia, there were many kingdoms in the past, one of which was the Sumedang Larang Kingdom. Sumedang Larang is an Islamic kingdom under the control of the Pajajaran Kingdom. Through history, a nation will be able to recognize the origin of its own nation. Therefore, teaching about history is very important to be instilled from an early age. Through the rapid development of technology, teaching today is not only in the form of formal teaching, but also informal teaching. Nowadays, informal teaching can be done through various media, one of the media that is often used is gadgets. The utilization of gadgets as learning media allows a person to learn independently. One form of history learning by utilizing gadgets can be in the form of a Question Answering System (QAS). QAS allows users to ask questions using natural language and the system will answer the questions. Therefore, our research aims to help introduce the history of the Sumedang Larang kingdom to the public. We build a QAS by utilizing the n-gram model, Multilayer Perceptron (MLP) algorithm, and ontology. N-gram is used to cut words/sentences and convert them into a matrix, while MLP is used to classify texts, and ontology is used as knowledge representation. In this study, the system was able to answer 35 questions out of 61 questions, so it had an accuracy of 57.37%.
Co-Authors Abdul Muqit Abdullah Helmy Ade Kosasih Ade Romadhon Ade Sukma Adisti Rastosari Aditya, Naufal Adri Nur Fajari Afriani Sandra Agung Toto Wibowo Agus Alim Abdullah Ahmad Lubis Ghozali Akbar, Yoan Amri Alam Rahmatulloh Albi Fitransyah Ali, Muhammad Haidir Allismawita Allismawita amnah amnah An Fauzia Rozani Syafei Ana Fitriana Poerana Andiety, Rich Andini, Andini Andjioe, Oscar Rynandi Angelina Sagita Sastrawan Anindya, Widya Dara Aniq A Rahmawati Aniq A. Rahmawati Anisa Herdiani Annisa Cahya Anggraeni Annisa Cahya Anggraeni Antonius Randy Arjun Ardi Ardi Ari Satrio Arie Lasaprima Arifa Nur Hasanah Aryadi Pramarta Ayunda Farah Istiqamah Budiarti, L Endang Burhanuddin Bahar Cahya, Anindya Cahyani, Hilda Canda Ayu Arum Pertiwi Christhofer Laurent Juliant Cut Sri Maulina D. Novia Daffa Barin Tizard Riyadi Damayanti, Elok Dana Sulistyo Kusumo Danang Triantoro Murdiansyah Darmawan, Faiha Adzra Dede Tarwidi Dedi Romli Triputra Dendy Andra Deni Novia Dessy Abdullah Devi Pratami Devina Vanesa Dhiva Rezzy Pratama Diah Mahmuda Diah Pudi Langgeni Djoko Wahyono Donni Richasdy Dreyfus, Shoshana Dwi H Widyantoro Dwi Maya Sari Dwinda Tamara Edy Tandililing Eka Ismantohadi Elly Roza Elsa Rachel Dementieva Erbina Selvia Br Perangin-Angin Erliansyah Nasution Erni Masdupi Erwin B. Setiawan Erwin Budi Setiawan Esa Alfitrassalam Evitayani Evitayani Fadillah, Ichsan Alam Fatimah Nurhayani Fatimatus Zahroh Favian Dewanta Ferawati Ferawati Fernandy Marbun Ferry Lismanto Syaiful Firmansyah Firmansyah Fitriani Mangerangi Gentra Aditya Putra Ruswanda Gesit Tabrani Ghazi Ahmad Fadhlullah Gholib Gholib Grace Yohana Grace Yohana Gusti Ayu Marheni Gustina Lubis Hafid Ahmad Adyatma Hakim, Lukman Nur Hamlan andi Hary Yuswadi Hasanuddin Hasanuddin Hasanusi, Mohammad Helmi Arifin Hendra Naldi Hendri Andi Mesta Humaizi, Humaizi Humaizi, Humaizi Ichwanul Muslim Karo Karo Ida Ayu Putu Sri Widnyani Igga Febrian Virgiani Ika Arum Puspita Ilham Mujaddid Al Masyriq Imam Sunarno, Imam Ina Rofi’atun Nasihati Indira Adnani Indri Juliyarsi Inggrid Resmi Benita Intan Dwi Novieta, Intan Dwi Irfan Darmawan Irhas Jaya Iryanto Iryanto Iut Tri Utami Izzatul Ummah Jaka E. Sembodo Jamhari Jamhari Jamsari Jamsari Jaya, Irhas Jayana Citra Agung Pramu Putra Joni Dwi Pribadi Kalsum Kalsum Kemas M Lhaksmana Kemas M. Lhaksmana Kemas Muslim Lhaksmana Khaeruddin Yusuf Khaidarmansyah Khairiah, Khairiah Khamim, Khamim Khasrad . Khatimah, Ummu Husnul Khoirunnisaa’ Khoirunnisaa’ Khusnul Diana Kun Mustain Kusnadi, Kusnadi Lie Othman Lilis Suryani Lisa Rahmi Litasari Widyastuti, Litasari Liviandra, Monica Loiz, Andhika Lubis, Putri Handayani Lutfi Ambarwati M. Duskri M. Naufal Mu'afa M. Qadrian M. Rayhan Hakim M. Tahir Sapsuha Mahmud Imrona Mala Nurilmala Mansyur Arif Marayasa, I Nyoman Marendra Septianta Mayasari Mayasari Mella Ismelina F. Rahayu Miranti Andhita Scantya Mirna Fitrani Misna Ariani Mizanul Kirom Moch Arif Bijaksana Moh Naufal Mizan Saputro Moh Z Mubarok Moh. Mahsus Mudayatiningsih, Sri Muhamad Faishal Irawan Muhamad Hafidh Nofal Muhammad Adlim Muhammad Agus Muljanto Muhammad Alwi Nugraha Muhammad Attalariq Muhammad Bilal Rafif Azaki Muhammad Ilham Hafizha Muhammad Ilham Hafizha Muhammad Ridha Anshari Muhammad Zaid Dzulfikar Mustakim, ' Mustofa, Mutmainnah Mutmainnah Mustofa Najla Nur Adila Naufal Akbar Hartono Ni Nyoman Sumiasih Ni Wayan Armini Niken Titi Pratitis Ningsih Purba Ningsih, Ayu Oktavia Nirmala Ayu Aryanti Nisa, Intan Khairu Nofal, Muhamad Hafidh Nora. AN, Desri Nungki Selviandro Nur Azlina Nur Jamilah Nur Rahmawati Nur Ulfa Maulidevi Nuraini Lubis Nurjayanto, Bagus Wicaksono Nurul Ikhsan Okky Brillian Hibrianto Okky Brillian Hibrianto P, Kadek Abi Satria A V Pahrurrobi Pahrurrobi Paskalis Aditya Putra Prabowo, Ruh Devita Widhiana Prasetia, Reza Putra, A. D. A. Putu Harry Gunawan Qisti R Arvianti Rachmi Helfianur Radhiva Hibatullah, Muhammad Rafiuddin, Rafiuddin Rahmat Firdaus Rahmi Wati Rais Rais Ramadhan, Sageri Fikri Ramadhani, Nur Laili Ramanti Dharayani Randika Dwi Maulana Rasyid Ranestari Sastriani Rasbawati, Rasbawati Rayhan M Auliarahman Reinaldo Kenneth Darmawan Rena Feri Wijayanti Restu Aditya Rachman Reza Rendian Septiawan Rezano, Tomi Richo Fedhia Saldhi Rika Afriani Rina Dahlyanti Rinaldi Jasmi Rinita Amelia Risa Tiuria Risfaheri - Riska Padilah Riski Hernando Rita Rismala Rizaldy Arigi Rizky Andrian Rizqi Bayu Aji Robi Amizar Roby Dwi Hartanto Rohmat Gunawan Romy Adzani Adiputra Roseno, Rizky Haffiyan Rr. Amanda Pasca Rini, Rr. Amanda Pasca Rusli, Ridho Kurniawan S. Syamsurizal Sa'diatul Fuadiyah Sahlya Handayati Salam N. Aritonang Sanusi Ibrahim Sarini Vita Dewi Sedyo Mukti, Putri Ayu Sepri Reski Setiyoko, Didik Tri Shaufiah . Sigit Budisantoso Silvia Atika Anggrayni Simon He Siti Rohani Sitorus, Angela Tiara Maharani Solly Aryza Sri Andayani Sri Melia Suci Aprianti Sukanta Sumaryati Syukur Suyitman Suyitman Syaifuddin Ahrom Syaifuddin Ahrom Syaiful Akmal Syamsul Hadi Tebay, Selvi Teguh Surya Apri Handoyo Theriana Ayu Waskitaning Tyas Thoriq Akhdan, Muh Titi Sumanti Tongku Nizwan Siregar Ufra Neshia Umar Ali Ahmad Urnemi - Urnemi Urnemi Utomo, Muhajir Veritia, Veritia Vici E.H.S. Susilowati Wibowo, Kurnia Drajat Winardhi, Sonny Winardhi, Sonny Wiratama, Arga Kusuma Wiwik Handayani Wizna Wizna Wulandari, Dinda Atikah Yani Riyani Yanuar Firdaus Yanuar Firdaus A Yanuar Firdaus A.W. Yesi Chwenta Sari Yoan Amri Akbar Yolani Utami Yudha E. Pratama Yudha Endra Pratama Yuherman Yuherman Yulia Murni Yulia Yellita Yuliant Sibaroni Yulianti Fitri Kurnia Yuliawati Yuliawati Yulisna Gita Hapsari Yundari, Yundari Yusabri Yusran Khery, Yusran Yusri Dianne Jurnalis Yusza Reditya Murti Zidni Mubarok Zoni Hidayat