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All Journal Journal of Development Research Bina Insani ICT Journal Syntax Literate: Jurnal Ilmiah Indonesia Jurnal Informatika Universitas Pamulang INTECOMS: Journal of Information Technology and Computer Science Jurnal Nasional Komputasi dan Teknologi Informasi Building of Informatics, Technology and Science ILKOMNIKA: Journal of Computer Science and Applied Informatics INNOVATION RESEARCH JOURNAL DedikasiMU: Journal of Community Service Jurnal Pengabdian dan Pemberdayaan Nusantara (JPPNu) Indexia Jurnal Pengabdian Masyarakat dan Lingkungan
Indra Gita Anugrah
Universitas Muhammadiyah Gresik
Religion Aerospace Engineering Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Medicine & Pharmacology Neuroscience Public Health Social Sciences Transportation Other

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Journal : journal of development research

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Implementation of Winnowing Algorithm and Simple Additive Weighting SAW for Publication Reference Journal Search System Imam Fakhruddin; Indra Gita Anugrah
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.v5i2.141

Abstract

Reference journals have several different writing arrangements. In the reference journal, there is some information or words needed in making scientific journals. With this information or word retrieval system, it can help to find journals that match the similarities between input and information or words in the journal that will be used as a reference. In this study, the input process of equations and information or words will be processed using the Winnowing algorithm as an algorithm that can find the similarity of words or texts with N-gram functions, rolling hash, and Jaccard Coefficient. In general, the search only uses the same words or text without any weighting on the composition of the reference journal. To be able to find journals and their level of importance in the order of journals, a weighting method is needed. This study also uses the Simple Additive Weighting (SAW) method as a process to determine the value of the order of urgency in journals so that it can provide results in the form of rankings based on searches and urgency weights in reference journals. The results of the similarity query with documents obtained 60% precision, 77% recall, and 81% accuracy, documents, and documents had 41% precision, 83% recall, and 66% accuracy. using Winnowing Algorithm, the search system can detect the similarity of text.
Implementation of Weighted Tree Similarity and Cosine Sorensen-Dice Algorithms for Semantic Search in Document Repository Information System Abdurrosyiid Amrullah; Indra Gita Anugrah
Journal of Development Research Vol. 5 No. 1 (2021): Volume 5, Number 1, May 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.v5i1.143

Abstract

Document search has several approaches, including full-text search, plain metadata search and semantic search. This study uses the Weighted Tree Similarity algorithm with the Cosine Sorensen Dice algorithm to calculate the semantic search similarity. In this study, document metadata is represented in the form of a tree that has labeled nodes, labeled branches and weighted branches. The similarity calculation on the subtree edge label uses Cosine Sorensen Dice, while the total similarity of a document uses the weighted tree similarity. The metadata structure of the document uses the taxonomy owner, description, title, disposition content and type. The result of this research is a document search application with taxonomic weight on file storage.
Employee Assessment Applications Using the Graphic Rating Scale and Profile Matching Methods at XYZ University Kukuh Ujianto; Indra Gita Anugrah
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.v5i2.144

Abstract

Performance appraisal is an evaluation and assessment carried out to employees to find out what their abilities are and measure productivity during work. XYZ University has an employee performance appraisal which is conducted annually to determine employee promotions. The assessment process is still using the manual method and using the Graphic Rating Scale method. Graphic Rating Scale is a performance appraisal method in which an employee is assessed based on criteria that are considered important and relevant to performance and productivity. To determine a promotion, the Graphic Rating Scale method cannot do it because it takes standard values, core factors and secondary factors that are used as standards to determine promotions. Therefore, In this employee appraisal application there is a combined method used to assist the assessment process, namely the Graphic Rating Scale method and the Profile Matching method. The Profile Matching method is used because there are standard values, core factors and secondary factors that can be used as standards to determine promotions. The results of this study are on testing the Graphic Rating Scale method with the combined method of Graphic Rating Scale and Profile Matching, the combined method of Graphic Rating Scale and Profile Matching has a higher average accuracy of 78,18%, while the Graphic Rating Scale method has an average accuracy of 68,45%.
Implementation of the Simple Additive Weighting Method in Determining Centroids in the Process of Clustering the Poor in Kakatpenjalin Village, Lamongan Regency Arifan Dwi Maulana; Indra Gita Anugrah
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.v5i2.147

Abstract

Clustering is an algorithm in a decision support system that functions to organize an object into groups of data. In the clustering process, of course, a cluster centre is needed by the desired data group. However, the clustering process has a problem. Related research states that the results of k-means clustering can influence the selection of cluster centre points. Random selection of cluster centre points can result in different clustering results in the same data group. Not only on k-means, but k-medoids also have the same problem. So that to produce a good cluster, you must start by choosing the right cluster centre. To solve this problem, the Simple Additive Weighting method is used to select the centre point of the cluster. Simple Additive Weighting selects the centre point of the cluster by adding and summarizing the dataset. The summation is done by giving weight to each criterion and each criterion has its alternative value. From this weighted addition, the final value will be obtained. From the sum of SAW, then one of the objects with the highest and lowest values ​​can be taken to serve as the centre of the cluster.
Implementation of EM Algorithm in Opinion Mining Movies Review Case Studies Muhammad Danial Romadloni; Indra Gita Anugrah
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.v5i2.149

Abstract

Movies are very familiar to everyone, from children, adolescents to adults, whether just because they want to watch, a hobby, or fill their spare time. Movies that used to be watched only on television and had to wait months after release or directly to the cinema, with the development of technology, of course, it is increasingly easier for everyone to enjoy movies, now they can be watched through paid television services to smartphones. One of the websites that viewers often use to review movies they have watched is IMDb. The data review can be used to get an opinion or opinion mining from the audience, whether the title of the movie being reviewed is good or not. One of the algorithms that are often used is Naïve Bayes, apart from being easy to implement, Naïve Bayes is also known to be very fast and easy to use to predict classes on a test dataset. The purpose of this study is to see how much influence the Expectation-Maximization to increase accuracy on implementation of Expectation-Maximization algorithm in opinion mining movies review case studies. From the results of this study using the Expectation-Maximization method, it was found that the accuracy increased by 4% compared to using only Naïve Bayes.
Semantic Search for Scientific Articles by Language Using Cosine Similarity Algorithm and Weighted Tree Similarity Muhamad Aldi Rifai; Indra Gita Anugrah
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.v5i2.150

Abstract

The activity of writing scientific articles by academics at universities is one of the activities that is often carried out, but when writing scientific articles problems arise regarding the difficulty of finding ideas, literature studies, and reference sources that you want to use as references when writing. Sometimes when searching on a search engine, we have trouble finding the right document, because usually, the keywords we are looking for are not in the title section but another part of the structure. Since most search engines only match titles, other structures are usually excluded from matching. So that the search results that we do sometimes don't match what we want. In addition, usually, each scientific article has many language differences in its structure as found in the abstract section. To detect similarities through the structure of scientific articles, an algorithm is used, namely weighted tree similarity, and to detect language using the N-gram algorithm, then the cosine similarity algorithm can be used to check the level of similarity in keyword text with text in scientific articles.
RAD-UCD Implementation in Project Management Information System Anugrah, Indra Gita; Witra, Widyasari Puspa Permata; Nuha, Sukma Uli; Wibowo, Nugroho Setyo; Utomo, Denny Trias
Journal of Development Research Vol. 8 No. 2 (2024): Volume 8, Number 2, November 2024
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat Universitas Nahdlatul Ulama Blitar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28926/jdr.v8i2.398

Abstract

This study discusses the implementation of Rapid Application Development (RAD) and User-Centered Design (UCD) methods in developing project management information systems for small and medium-scale projects. Using interviews and direct trials by project managers, project team members, and clients, this study aims to understand the extent to which these two methods can improve development efficiency and user satisfaction. The results show that the RAD method accelerates the development process through flexible iterations, while UCD ensures that the resulting system is in accordance with user needs. Project managers reported increased transparency in monitoring progress, team members appreciated features that supported coordination, and clients felt more connected to project developments in real time. The combined implementation of RAD and UCD proved effective in creating a responsive, efficient, and user-friendly project management system to meet the needs of small and medium projects.
Co-Authors Abdul Aziz Zam Zami Abdurrosyiid Amrullah Achmad Fikri Muzakki Afrisco Ardytia Febrian Amarta Ahmad Farid Ahmat Subairi Rahman Amin Syifa' Amir Setiawan Andi Rahmad Rahim Anugrah, Indra Gita Ardi Rizkiyanto Arifan Dwi Maulana Aris Syeikhur Rozi Azzumardi Mubarok Romadhoni Darmawan Aditama Denny Trias Utomo, Denny Trias Fauziyah, Nur Harunur Rosyid Imaduddin Agil Firdaus Imam Fakhruddin Imanullah Ali Ubed Kukuh Ujianto Mahendra, Arya Maulana Mohammad Feryzal Fahlevi Muhadhim, Arbi Muhamad Aldi Rifai Muhamad Aldi Rifai Imam Fakhruddin Muhammad Aufa Muhammad Danial Romadloni Mustikaningrum, Mega Nugroho Setyo Wibowo Nuha, Sukma Uli Pratama, Achmad Davis Endy Romadhoni, Azzumardi Mubarok Ryco Puji Setyono Sasha Safira Nuraini Soffan Maulana Akbar Sukaris Suwarno Suwarno Syaiful . Tulus Annisaa Tumirin Widyasari Puspa Permata Witra Zainal Abidin