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INDONESIA
Journal of Development Research
Published by Universitas Nahdlatul Ulama Blitar
ISSN : 25799290     EISSN : 25799347     DOI : -
Core Subject : Education, Social, Engineering,
Civil Engineering, Building, Construction & Architecture Education Social Sciences
Journal of Development Research, a journal runs by the Institute for Research and Community Services Universitas Nahdlatul Ulama Blitar. Journal facilitates publication of the results of research in the field of human and region development. The journal is published in two versions, the print and electronic version. This journal is published every six months, i.e. April and Oktober.
Arjuna Subject : -
Articles 153 Documents
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Development of Khutbah Books: Media for Increasing Student Soft Skills in PAI Courses at Universitas Nahdlatul Ulama Blitar Abdurrachman Sidik; Siti Uswatun Kasanah; Zainal Rosyadi
Journal of Development Research Vol. 5 No. 2 (2021): Volume 5, Number 2, November 2021
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat Universitas Nahdlatul Ulama Blitar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28926/jdr.v5i2.193

Abstract

The purpose of this study is to conduct a Khutbah book as a medium for improving student soft skills in PAI courses at Nahdlatul Ulama University Blitar. The focus of this research is the development of the Khutbah book as a medium for improving student soft skills with content according to updated scientific and social developments. Using the Research and Development method developed by Borg and Gall which includes preliminary studies, research planning, design development, product testing, revision of limited field test results, extensive product testing, revision of wider field test results, feasibility test, final revision of test results feasibility, dissemination and implementation of the final product. Data were collected from the assessment of two experts through the Expert validation sheet and 57 students respondents through a student respondent questionnaire. Data analysis used qualitative and quantitative approach techniques. Data in the form of suggestions and criticisms from experts/experts and students were analyzed with a qualitative approach, while data on the feasibility of the Khutbah book and opinions regarding the suitability of the book were processed using a quantitative descriptive approach. Data analysis that the Khutbah book needs to be arranged in accordance with scientific and social developments in society. The results showed that the Khutbah book was suitable for use in the development of student soft skills.
Development Animated Dubbing Video as Learning Media in English Speaking at Senior High School Boy Santuri; Widiarini; Istina Atul Makrifah; Ahmad Saifudin
Journal of Development Research Vol. 6 No. 1 (2022): Volume 6, Number 1, May 2022
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat Universitas Nahdlatul Ulama Blitar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28926/jdr.v6i1.167

Abstract

This research was motivated by the results of the needs analysis at MAN 1 Blitar. Researcher found several problems faced by students in the process of learning English. This study aims to determine the opinion of the validators, the response of teacher and students to the learning media that has been developed in the form of Video Dubbing Animation. The research method used is Research and Development (R&D) using the ADDIE model by Dick and Carry. The media that has been developed consists of two videos, one video to explain the material and one dubbing video as a student assignment. The material presented in this product is a narrative text focused on speaking skills. Data collection techniques were carried out using interviews and surveys. The instruments used are interview guidelines and questionnaires using a Likert scale. Based on the results of validation carried out by material experts and media expert, then the results of teacher and student responses, the percentage of results obtained were 80%, 94%, 86% and 66.7% with a total score of 81.7% where the score reached the criteria of "Very Good or Very Valid or Very Usable”. So, it can be concluded that the animation video dubbing learning media is very well used in the English learning process.
Mandarin Language Material using Artificial Intelligence for Z-Generation Student Sunarti Sunarti; Ting Hie Ling; Chong Pei Qi; Amira Eza Febrian Putri
Journal of Development Research Vol. 6 No. 1 (2022): Volume 6, Number 1, May 2022
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat Universitas Nahdlatul Ulama Blitar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28926/jdr.v6i1.195

Abstract

This aims of research to develop an artificial intelligence-based Mandarin learning media for the millennial generation that is interesting and can be learned anywhere. The content of the latest material determined in this study is a descriptive text of the coronavirus in Indonesia. This study uses the Research and Development ADDIE design. The research data was obtained from the results of questionnaires, and validation of material and media experts. In the initial observation, it was found that 96.1% of students aged 15 – 20 years in Malang City are familiar with the use of technology in everyday life, therefore it is necessary to develop a technology-based interactive learning media that can support teachers in teaching students who are also Generation Z. After testing the material, it was found that this learning media has very good quality that score is 84. This research is also considered capable of making prototypes that have very good quality in terms of media that the total final score is 85.
Virtual Reality Based Project-Based Learning Model in Online Learning Sunarti Sunarti; Hie-Ling Ting
Journal of Development Research Vol. 6 No. 1 (2022): Volume 6, Number 1, May 2022
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat Universitas Nahdlatul Ulama Blitar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28926/jdr.v6i1.196

Abstract

This research aims at implementation virtual reality (VR) in online learning for the Chinese language of learning. Model learning in this research is project-based learning to support media in VR. The development of VR in online learning used the ADDIE method because this research developed a media and for using it, students have model learning as project-based learning. The target of this research is the effectiveness of using VR in online learning to improve the cognition of students. In this research, VR tested by 20 students to get data of student’s cognitive. The result of this research, VR had effective around 78% compared to without using VR.
Is It Feasible to Change a Prostitution Localization? Exploring Community Empowerment Issue Adi Suryani; Soedarso Soedarso; Setiawan Setiawan; Wahyuddin Wahyuddin; Niken Prasetyawati; Ni Wayan Suarmini
Journal of Development Research Vol. 6 No. 1 (2022): Volume 6, Number 1, May 2022
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat Universitas Nahdlatul Ulama Blitar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28926/jdr.v6i1.197

Abstract

The closing of Doli prostitution in 2014 has been causing significant consequences for Doli community. They can no longer rely their life on economic raised from prostitution-supporting jobs. They must adapt to social and economic changes and transform themselves. In this changing process, Doli community should learn and develop some new skills to run their own home industries or develop UKMs together. Today, Doli community develops their UKMs’, changing its’ prostitution face into community with many small-scale home industries and gradually leaving their prostitution image. However, during this process, there are several issues and challenges emerge and threaten their development sustainability. Thus, this paper aims to explore several issues and challenges of Doli empowerment which may impact on their process to be self-sustained community. The study adopts qualitative research methodology. The data are collected through direct observation, focus group discussion and communication with local people. The study indicates that there are two types of alarming issues and challenges potentially obstructing Doli sustainability. The first is the UKM’s production-related issue, in which local people difficulties in managing their product, including marketing, processing, financing, staffing and distributing. The second issue is relating to social character, including competition, resistance to change. The study recommends several community educations for Doli’s UKMs: basic grounding education, practical and entrepreneurial and community character education.
Language Variations Used in Stand Up Comedy Indonesia Wawan Novianto; Siti Rofi'ah
Journal of Development Research Vol. 6 No. 1 (2022): Volume 6, Number 1, May 2022
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat Universitas Nahdlatul Ulama Blitar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28926/jdr.v6i1.199

Abstract

Society and language are two aspects that have a very close relationship. The heterogeneous and growing nature of society gives rise to the emergence of new language variations. Register is a variation of language that appears related to the profession. There has been a lot of research on registers. But new registers are constantly emerging as new areas of life emerge. This study examines the forms of registers used by the Indonesian Stand Up Comedy community and their objectives with qualitative research methods. A total of 20 videos were carefully observed to get accurate data. The findings say the register form exists in a hierarchy of words, phrases, and shortenings. There are three types of registers, namely: technical registers, appraisal registers, and naming registers. These registers are used because they represent the context and situation in society, said Stand Up Comedy Indonesia.
Classification of Banana Maturity Levels Based on Skin Image with HSI Color Space Transformation Features Using the K-NN Method Adhe Irham Thoriq; Muhamad Haris Zuhri; Purwanto Purwanto; Pujiono Pujiono; Heru Agus Santoso
Journal of Development Research Vol. 6 No. 1 (2022): Volume 6, Number 1, May 2022
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat Universitas Nahdlatul Ulama Blitar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28926/jdr.v6i1.200

Abstract

Banana or Musa Paradisiaca is one type of fruit that is often found in Southeast Asia. The most popular is the Raja banana (Musa paradisiaca L.). The advantage of the plantain is that it has a fragrant aroma and is of medium size and has a very sweet taste that is appetizing when it is fully ripe. While the drawback of plantains is that they ripen quickly, if not handled properly, it can change the nutritional value and nutrients contained in plantains. In this study, the author focuses on identifying the level of ripeness of bananas using the image of a plantain fruit that is still intact and its skin. Processing of the image of the plantain fruit using HSI (Hue Saturation Intensity) color space transformation feature extraction. The tool used to extract the HSI (Hue Saturation Intensity) color space transformation feature is Matlab. The attribute values obtained from the extraction are the Red, Green, Blue values obtained from the RGB values. Hue, saturation and intensity attributes were obtained from HSI extraction. Classification of the level of ripeness of plantain fruit is done with the help of the rapidminer tool. The method used is K-NN. The results obtained from this test are the accuracy value of 91.33% with a standard deviation value of+/- 4.52% with a value of k=4. The RMSE value obtained is 0.276.
Classification of Guarantee Types Using Leaf Feature Extraction with Minutiae and GLCM Using K-NN Method Muhammad Haris Zuhri; Adhe Irham Thoriq; Abdul Syukur; Affandy Affandy; Muslih Muslih; Moch Arief Soeleman
Journal of Development Research Vol. 6 No. 1 (2022): Volume 6, Number 1, May 2022
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat Universitas Nahdlatul Ulama Blitar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28926/jdr.v6i1.201

Abstract

Indonesia is a fertile area that has a sub-tropical climate that makes plants grow well in various parts of Indonesia. There are various variants of guava in Indonesia. Of the several types have differences including the structure of the fruit, tree and leaves. The focus of this research is to classify guava species based on leaf bone image using GLCM feature extraction, minutiae and shape extraction using the K-NN method. In this study using a dataset of 4 types of guava as many as 300 images, where each type of as many as 75 images. In the extraction process to get the leaf bone image in this study, there are several processes, namely preprocessing, grayscale image, binary image and morphology then only get the leaf bone image. After getting the extracted value, then the data is processed using the K-NN method. The highest accuracy in the K-NN method is at k1 = 92.42% with a standard deviation of 6.05% (micro average: 92.45%). Thus GLCM feature extraction, minutiae and shape extraction can potentially increase the level of accuracy in guava classification based on leaf bone images.
Classification of Toxic Plants on Leaf Patterns Using Gray Level Co-Occurrence Matrix (GLCM) with Neural Network Method Mohammad Faishol Zuhri; S. Kholidah Rahayu Maharani; Affandy Affandy; Aris Nurhindarto; Abdul Syukur; Moch Arief Soeleman
Journal of Development Research Vol. 6 No. 1 (2022): Volume 6, Number 1, May 2022
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat Universitas Nahdlatul Ulama Blitar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28926/jdr.v6i1.202

Abstract

Poisonous plants are plants that must be avoided and not consumed by humans, because the presence of poisonous plants is also often found in the surrounding environment without realizing it. Because of the lack of knowledge to classify poisonous plant species, it will be more difficult to find out. With the help of a computer system, it will be easier to identify the types of poisonous plants. There are 3 types of poisonous plants that will be used in this study, namely cassava, jatropha, and amethyst. There are also 3 types of non-toxic plants with almost the same morphology as a comparison, namely cassava, figs, and eggplant. In this study, researchers tried to classify poisonous plant species using leaf pattern features that would be extracted using shape features and Gray Level Co-occurrence Matrix (GLCM). The value taken from the shape feature is the values ​​of area, width, diameter, perimeter, slender, and round. While the value of contrast, entropy, correlation, energy, and homogeneity for Gray Level Co-occurrence Matrix (GLCM) attributes. To classify data using Neural Network with RapidMiner application. From this study, it is known that from 300 total datasets used, the highest accuracy is 96.13% using the Neural Network method. With an AUC value of 0.986 and is included in the very good category.
Seam Cerving and Salient Detection for Thumbnail Photos Much Chafid; Abdul Syukur; Moch Arief Soeleman; Affandy Affandy
Journal of Development Research Vol. 6 No. 1 (2022): Volume 6, Number 1, May 2022
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat Universitas Nahdlatul Ulama Blitar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28926/jdr.v6i1.204

Abstract

Image resizing is a process of processing images or images with the aim of changing the size of the image. The most commonly used methods are cropping or scaling. Scaling is changing the size of the image based on the scale. Contents in the image are not considered in scaling. Seam carving often uses energy functionality that is useful as a determinant of the pixel level contained in an image. Seam is a connecting path of image pixels both vertically and horizontally that is passed by a low energy function. Changing the image size using seam carving is considered better than cropping and scaling. However, the seam carving method still cannot protect the object that is considered the most important. In overcoming this weakness, we can use a combination of seam carving algorithm with salient detection. In this research, we will improve the two methods which function as thumbnail maker. The results of the salient detection of the most important areas of the image will be detected and as a reference in resizing the image (seam carving) The dataset uses 200 images. The accuracy value is calculated by distributing questionnaires to 100 respondents and producing an acceptance rate of 78% so that the results are Very Natural/Natural.

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