Reviewerly/exHarmony huggingface dataset:
DEVELOPMENT OF DIGITAL STANDARD OPERATING PROCEDURES FOR FINAL PROJECT AT FACULTY OF ISLAMIC ECONOMICS AND BUSINESS IAIN PALANGKA RAYA

Universities should not only put pressure on, but also start to innovate to facilitate students, especially in terms of information and services that can help students complete their final assignments/thesis. Sometimes, students are confused with the stages of writing a thesis starting from submitting a title until the thesis is ready to be tested. Some of the problems found in the student environment related to the process of submitting the thesis are firstly the Standard Operating Procedure (SOP) for the student's thesis has not been systematically arranged, secondly the unclear requirements for thesis submission, thirdly the absence of teaching aids or tools that make it easier for students to obtain information independently, the four internal and external evaluations in order to produce SOPs that are tested both inside and outside the organizational environment. Therefore, it is deemed necessary to develop a Standard Operating Procedure (SOP) for the student's thesis which is then socialized to the academic community, especially product users. The results of this activity are the SOP Booklet for the thesis of FEBI IAIN Palangka Raya students and the installation of Banner Stands that make it easier for students to access the SOPs.
Pengaruh Media Pembelajaran Flip Book Terhadap Motivasi, Kemandirian, dan Hasil Belajar Biologi Peserta Didik SMA Pulau Barrang Lompo Makassar

AbstractThis research is a quasi experimental posttest only control group design and pretest–posttest non equivalent control group design which aims to determine the differences in motivation, independence, and learning outcomes of students. The sample of this study was selected in survei and selected class XI MIPA 1 as the experimental class and XI MIPA 2 as the control class. Data collection techniques through the provision of questionnaires to measure motivation and learning independence and the provision of multiple choice tests to measure biology learning outcomes. The data analysis technique used is descriptive and inferential statistical analysis with t-test. The results showed that (1) learning motivation through flip book learning media and textbook learning media for Barrang Lompo Island High School Makassar students were on average in the high category and the medium category. (2) Learning independence through flip book learning media and textbook learning media for Barrang Lompo Island High School Makassar students are on average in the high category and the medium category. (3) Learning outcomes through flip book learning media and textbook learning media for students at Barrang Lompo Island High School Makassar are on average in the high category and the medium category. (4) There are differences in learning motivation through flip book learning media and textbook learning media for students at Barrang Lompo Island High School Makassar. (5) There are differences in learning independence through flip book learning media and textbook learning media for students at Barrang Lompo Island High School Makassar. (6) There are differences in learning outcomes through flip book learning media and textbook learning media for students at Barrang Lompo Island High School Makassar.
The Use of Question Answer Relationship (QAR) for Improving Students' Reading Comprehension in Narrative Materials

The objectives of this research were to improve the students’ learning activity and reading comprehension by using Question Answer Relationship (QAR). It was a kind of reading technique where the students were given questions and found the correct answer based on the text. In this research, the writer used Classroom Action Research as the design in collected the data. The research implementation of research was in two cycles. The sample of this research was in one class only with 30 students. To get the data of research, the writer used observation sheet and reading test. The test used in this research was multiple choice consisted of 40 questions. The findings of this research showed Question Answer Relationship (QAR successful to improve students’ learning activity and reading comprehension. It can be seen from the average score of students’ learning activity and reading comprehension. The average score of students’ learning activity was increased from the first cycle 6.53 while in the second cycle 7.77, it was from less active to active criteria. Then, it was found that the average score in cycle 1 was 68.4 while in cycle 2 was 75.4. Therefore, the implementation of Question Answer Relationship (QAR) was successful to be used in improving the students’ learning activity and reading comprehension at the tenth grade of SMKN 1 Kalianda in academic year of 2021/2022.
Story Mapping: An Effective Technique for Improving Students' Writing Ability at Middle School Students

This research aimed to improve the students’ writing skill of narrative text by using Story Mapping Technique. The researcher used Classroom Action Research as the design of collecting data. The subject of the research was held in one class with 34 students’. It consisted of 2 cycle, in collecting data the researcher used observation sheet and writing test. The research finding of the learning activities that were improvement from cycle 1 to cycle 2. The writer had the mean score in cycle 1 was 6.28, in cycle 2 obtained the mean score was 7.74. there were increased by 1.46. The result of writing test in cycle 1 that had the mean score was 57.11 but in cycle 2 the mean score was obtained 79.56, there were increased by 23.45. There were improvement of writing test from cycle 1 to cycle 2. The writer found the result of students’ completeness in cycle 1 was 41.18% and of the cycle 2 was 79,41% which active categorized. Therefore it can be concluded that the implementation of story mapping technique was successful to improve the students’ learning activities and students’ writing skill of narrative text at the class eighth of MTS. Raudhatul Mu’minin Bandar Lampung in Academic Year of 2021/2022.
The Correlation of Diction Mastery and Writing Interest With Students' Writing Ability

The problem was raised in this research is the relationship between mastery of diction and writing interest with the ability to compose narratives. This research was conducted because of the reality on the ground that the ability to compose narratives and mastery of diction, as well as interest in writing, need to be developed. This study aims to describe the relationship between diction mastery and writing interest with the ability to compose narratives for fifth grade students at SDN 4 Tanjung Aman. To achieve the research objectives mentioned above, the authors use the correlational method, meaning that data is collected after all the events in question have taken place. The techniques used in collecting research data are questionnaires, tests, and observations. Research data analysis techniques include requirements analysis test, statistical analysis, and research hypothesis testing techniques. The results of the study show: (1) diction mastery is positively related to the ability to compose narratives as indicated by a correlation coefficient of 0.775 &gt; 0.535 (r table); (2) writing interest is positively related to the ability to compose narratives as indicated by a correlation coefficient of 0.649 &gt; 0.361 ( r table); and (3) mastery of diction and writing interest together have a positive relationship with the ability to compose narrative coefficients of 0.807.
Reciprocal Teaching Strategy to Improve Students’ Reading Comprehension: Action Research

The objectives of this research were to improve the students’ learning activity and reading comprehension by using the Reciprocal Teaching Strategy. This strategy helps students with four steps, such as predicting, questioning, clarifying, and summarizing. In this research, the writer used Classroom Action Research as the design in collecting the data. The research implementation of research was in two cycles. The sample of this research was in one class only with 27 students. The writer used an observation sheet and reading test in form of was multiple choice and consisted of 40 questions, it aimed to get the score of students’ reading comprehension and used observation sheet for the students’ learning activity. The findings of this research showed Reciprocal Teaching Strategy was successful to improve students’ learning activity and reading comprehension. It can be seen from the average score of students’ learning activity and reading comprehension. The average score of students’ learning activity was increased from the first cycle 6.66 while in the second cycle 7.67, it was from less active to active criteria. Then, it was found that the average score in cycle 1 was 67.4 or 51.85% of students who passed Minimum Mastery Criteria while in cycle 2 was 76.5 or 85.19% of students who passed Minimum Mastery Criteria. Therefore, the implementation of Reciprocal Teaching Strategy was successful to be used in improving the students’ learning activity and reading comprehension in the tenth grade of SMKN 9 Bandar Lampung in the academic year of 2022/2023.
The Influence of Word Detective Strategy towards Students’ Vocabulary Mastery

The purpose of this research is to determine the influence of Word Detective Strategy towards students’ vocabulary mastery. The writer utilized a quasi-experimental method to conduct the research. The population of this research was the tenth grade students of SMK Negeri 7 Bandar Lampung. There were 473 students in 13 classes. The research sample consisted of two classes: an experimental class called X-AK1 and a control class called X-AK2. Cluster random sampling was applied by the writer in taking the sample. The writer utilized a multiple-choice test to measure the students' vocabulary mastery when collecting data. The writer utilized the sample t test formula to analyze the data. Students who were taught using the Word Detective Strategy scored higher than students who were taught using the Translation Technique, according to the data analysis. The average score of the experimental class was higher than the control class, according to the hypothesis testing calculation. The average score of the experimental class was 74.4 and the average score of the control class was 49.9. It may also be observed that t-test higher than t-table (t test &gt; t table), that was 10.99&gt;2.62 at the significance level 1% and 10.99&gt;1.98 at the significance level 5%. Therefore, Word Detective Strategy had a positive impact on students’ vocabulary mastery at the tenth grade of SMK Negeri 7 Bandar Lampung in 2020/2021.
Pengaruh Penerapan Model Problem Based Learning Terhadap Hasil Belajar dan Motivasi Belajar Peserta Didik MTsS Nurul Yaqin Benteng Kabupaten Kepulauan Selayar

The study is a quasi-experimental research (quasi-experimental design) which aims to examine the influence of Problem Based Learning model on learning outcomes and students’ learning motivation at MTsS Nurul Yaqin Benteng in Selayar Islands district. The population in this study were all students of MTsS Nurul Yaqin Benteng of grade VIII for academic year of 2021/2022. Samples were taken by using Random Sample technique. The learning motivation data were collected by using learning motivation questionnaire; whereas, the learning outcomes data were collected by using multiple choice test. Data were analyzed by employing descriptive analysis and t-test on SPSS version 23.0. The results of the study reveal that the students who were taught by using the Problem Based Learning model experienced an increase in learning outcomes which is in high category. Meanwhile, the students who were taught by using direct learning also experienced an increase in learning outcomes and learning motivation which is in high category. The results of hypothesis testing using the t-test show the learning outcomes sig (2-tailed) &gt; α 0.05 or 0.000 &gt; α 0.05. H0 is rejected and H1 is accepted. Based on the test criteria, it can be concluded that there is an influence of implementing the Problem Based Learning model on learning outcomes and students’ learning motivation on Human Digestive System material in grade VIII at MTsS Nurul Yaqin Benteng in Selayar Islands district.
Improving Students’ Reading Comprehension through GIST (Generating Interaction between Schemata and Text) Strategy

This research aimed to improve students’ learning activities and their reading comprehension by using Generating Interaction between Schemata and Text (GIST) strategy. In this research, the researcher used Classroom Action Research as the method of this research. This research implemented Generating Interaction between Schemata and Text (GIST) in 2 cycles with 3 meetings in each cycle. The sample of this research was in one class with 31 students. The test used in this research was 30 multiple choice questions. The average score of students’ activities based on the observation sheet in cycle I obtained range 7 which categorized as quite active and increased to be 7.7 in cycle II which categorized as active. The average score of students’ reading comprehension in cycle I was 68.46 and increased to be 79.11 in cycle II. The percentage of the students’ reading comprehension test in cycle I who passed Minimum Mastery Criteria was 45.16% students passed the KKM and in cycle II the result increased to be 83.87% students passed KKM. From the learning activities and test result, the researcher concluded that there was an improvement in students' learning activities and their reading comprehension by implementing Generating Interaction between Schemata and Text (GIST) strategy at the eighth-grade students of SMP Negeri 21 Bandar Lampung in the academic year of 2021/2022.
Advancements in Speaker Recognition: Exploring Mel Frequency Cepstral Coefficients (MFCC) for Enhanced Performance in Speaker Recognition

Abstract: Speaker recognition, a fundamental capability of software or hardware systems, involves receiving speech signals, identifying the speaker present in the speech signal, and subsequently recognizing the speaker for future interactions. This process emulates the cognitive task performed by the human brain. At its core, speaker recognition begins with speech as the input to the system. Various techniques have been developed for speech recognition, including Mel frequency cepstral coefficients (MFCC), Linear Prediction Coefficients (LPC), Linear Prediction Cepstral coefficients (LPCC), Line Spectral Frequencies (LSF), Discrete Wavelet Transform (DWT), and Perceptual Linear Prediction (PLP). Although LPC and several other techniques have been explored, they are often deemed impractical for real-time applications. In contrast, MFCC stands out as one of the most prominent and widely used techniques for speaker recognition. The utilization of cepstrum allows for the computation of resemblance between two cepstral feature vectors, making it an effective tool in this domain. In comparison to LPC-derived cepstrum features, the use of MFCC features has demonstrated superior performance in metrics such as False Acceptance Rate (FAR) and False Rejection Rate (FRR) for speaker recognition systems. MFCCs leverage the human ear's critical bandwidth fluctuations with respect to frequency. To capture phonetically important characteristics of speech signals, filters are linearly separated at low frequencies and logarithmically separated at high frequencies. This design choice is central to the effectiveness of the MFCC technique. The primary objective of the proposed work is to devise efficient techniques that extract pertinent information related to the speaker, thereby enhancing the overall performance of the speaker recognition system. By optimizing feature extraction methods, this research aims to contribute to the advancement of speaker recognition technology.
Exploiting Label Dependencies for Multi-Label Document Classification Using Transformers

We introduce in this paper a new approach to improve deep learning-based architectures for multi-label document classification. Dependencies between labels are an essential factor in the multi-label context. Our proposed strategy takes advantage of the knowledge extracted from label co-occurrences. The proposed method consists in adding a regularization term to the loss function used for training the model, in a way that incorporates the label similarities given by the label co-occurrences to encourage the model to jointly predict labels that are likely to co-occur, and and not consider labels that are rarely present with each other. This allows the neural model to better capture label dependencies. Our approach was evaluated on three datasets: the standard AAPD dataset, a corpus of scientific abstracts and Reuters-21578, a collection of news articles, and a newly proposed multi-label dataset called arXiv-ACM. Our method demonstrates improved performance, setting a new state-of-the-art on all three datasets.
Conducting Online Learning in Vocational School using Ms. Teams as A Learning Platform

The background of this research was based on the global problem appeared in 2020-2021 namely Covid-19. It is a pandemic that forced classes to be conducted into online learning; however, the implementation of online learning remains as a great challenge for both teachers and students. They had to adapt with these new circumstances. Here, Ms. Teams was chosen by the school as their platform to conduct online learning. The foci of this research were to find out the students’ perception related to this application or platform called Ms. Teams and how it was implemented in the class. Descriptive qualitative research was employed and the data were obtained through questionnaire, interview and documentation. The results of questionnaire, the perception was positive with the detail; (1) Category 1 got score 95.4 with the index percentage 70%. (2) Category 2 got score 83 with the index percentage 61%. (3) Category 3 got score 77.6 with the index percentage 57%. The average percentage was 62% and it could be classified into Agree (Good). The conclusions were; (1) Ms. Teams is a good platform to conduct the online learning because this platform provide some exclusive features that make this platform special. (2) the implementation of online learning using Ms. Teams is good enough but there are several things needed as improvements.
BSO: Binary Sailfish Optimization for Feature Selection in Sentiment Analysis

Sentiment analysis (SA) is a necessary duty for various areas where this method is very important to know public opinion of users about brands, products, events, etc. In this way, customer satisfaction can be increased for companies by making the necessary changes on the product. In this study, we aim to implement a SA on the comments made by users on online sales sites. We propose and test four machine learning (ML) algorithms and a deep learning (DL) model. Feature selection methods enable algorithms to capture existing patterns more easily and reduce running times by finding features that contribute highly to classification within the dataset and reducing the search space. Therefore, we apply the binary version of Sailfish Optimization (SOA), also called Binary Sailfish Optimizer (BSO), as a feature selector to a textual dataset and run for SA for the first time. In order to evaluate its performance, we make a comparison with two optimization algorithms, named Harmony Search (HS) and Bat Algorithm (BA). The results show that the BSO is ahead of the HS and BA algorithms with an F-Score of 0.91, using almost half of the available features.
Optimization of Melanoma Skin Cancer Detection with the Convolutional Neural Network

Currently, skin cancer is a very dangerous disease for humans. Skin cancer is classified into many types such as Melanoma, Basal and Squamous cell carcinoma. In all types of cancer, melanoma is the most dangerous and unpredictable disease. Detection of melanoma cancer at an early stage is useful for effective treatment and can be used to classify types of melanoma cancer. New innovations in the classification and detection of skin cancer using artificial neural networks continue to develop to assist the medical and medical world in analyzing images precisely and accurately. The method used in this research is Convolutional Neural Network (CNN) with MobileNet model architecture. Skin cancer detection consists of five important stages, namely image database collection, preprocessing methods, augmentation data, model training and model evaluation. This evaluation was carried out using the MobileNet method with an accuracy of 88%.
Flow and let it flow

This study aimed to verify the intensity of the state of flow at work in the perception of accountants who work in accounting services firms. The research, of a descriptive nature, had a quantitative approach, applying a self-completion questionnaire based on the model of Freitas, Damásio, Haddad, and Koller (2019) that highlights the state of flow at work in three dimensions: pleasure at work, intrinsic motivation, and absorption. The respondents were 154 accountants from accounting services firms in Itajaí (Santa Catarina). The indicators were validated through Exploratory Factor Analysis, and descriptive statistics were used to verify the intensity of the dimensions. The results showed that the dimension of the state of flow at work that presented a high degree of intensity was pleasure at work, followed by intrinsic motivation at work and absorption, which reached a medium degree. Thus, it was evidenced that the accountants analyzed, when performing their tasks, enter a state of flow, emphasizing pleasure at work, especially in the statement, “I do my job with great pleasure”. Empirically, knowledge of the state of flow can contribute to the management practices being conducted to promote well-being and thus increase engagement and the way of experiencing work. Theoretically, the results contribute to the expansion of studies in organizational behavior.
Peningkatan Keamanan Dan Kenyamanan Jamaah Masjid Al-Anwar Melalui Renovasi Halaman Masjid

Al Anwar Mosque is located in Sawahan Pendowoharjo Sewon Hamlet, Bantul. Currently, the mosque management is planning to renovate the mosque yard in the form of installing paving blocks as a pavement layer. The courtyard of the mosque is still dusty soil, so that in the rainy season it becomes muddy and disturbs the comfort of people who come to worship in the mosque. Funding and technical assistance are the main problems in the renovation program of the pavement layer of the mosque courtyard. On the basis of these problems, it is necessary to carry out community service in the form of funding and also technical assistance for the renovation of the pavement layer of the mosque courtyard. The results of community service activities increase the safety and comfort of Al Anwar mosque worshippers.&#x0D;
DIGITAL LITERACY AND LEARNING OUTCOMES OF JUNIOR HIGH SCHOOL STUDENTS: COMPARISON OF GAMBIA AND INDONESIA

The purpose of this study was to find out whether there is an effect of digital literacy on student learning outcomes in the subject of natural sciences subject matter of motion at Junior high school 19 Jambi City and Nyakoi Lower Basic School. This research method uses a quantitative method with an associative research approach. The research sample was taken using a purposive sampling technique, with 45 class VII students in each school as the sample. Data was collected through the use of questionnaires that measure digital literacy variables and student learning outcomes. The results of this study indicate that the digital literacy level of students in Indonesia and Gambia is in a fairly good category. Likewise, student learning outcomes in the two countries are also in the fairly good category. The normality test and linearity test show that the data is normally and linearly distributed. The regression test shows that there is an effect of digital literacy on student learning outcomes in both schools, with a significance value of less than 0.05.