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All Journal Elkom: Jurnal Elektronika dan Komputer Jurnal Informatika dan Teknik Elektro Terapan SMATIKA Window of Health : Jurnal Kesehatan Jurnal Informatika Global JMAI (Jurnal Multimedia & Artificial Intelligence) Journal of Information Systems and Informatics bit-Tech Jurnal Teknologi Dan Sistem Informasi Bisnis Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) JOURNAL OF INFORMATION SYSTEM MANAGEMENT (JOISM) Jurnal Infortech Jurnal Informa: Jurnal Penelitian dan Pengabdian Masyarakat Infotech: Journal of Technology Information Infokes : Jurnal Ilmiah Rekam Medis dan Informasi Kesehatan Jurnal Teknimedia: Teknologi Informasi dan Multimedia Best : Journal of Applied Electrical, Science and Technology Journal Computer Science and Informatic Systems : J-Cosys International Journal Software Engineering and Computer Science (IJSECS) Jurnal Teknik Informatika Duta.com : Jurnal Ilmiah Teknologi Informasi dan Komunikasi Frasa: English Education and Literature Journal Duta Abdimas: Jurnal Pengabdian Masyarakat Jurnal Indonesia Sosial Teknologi Proceeding of International Conference Health, Science And Technology (ICOHETECH) Prosiding Seminar Nasional Teknologi Informasi dan Bisnis Innovative: Journal Of Social Science Research Prosiding Seminar Informasi Kesehatan Nasional Bengawan :Jurnal Pengabdian Masyarakat Al Ghafur : Jurnal Ilmiah Pengabdian Kepada Masyarakat SmartComp Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Jurnal Sistem Informasi dan Teknologi Informasi Smatika Jurnal : STIKI Informatika Jurnal
Agustina Srirahayu
Universitas Duta Bangsa Surakarta
Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mechanical Engineering Medicine & Pharmacology Nursing Physics Public Health Social Sciences Veterinary Other

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Review Paper Data Mining Klasifikasi Data Mining Srirahayu, Agustina; Pribadie, Laras Setya
Jurnal Ilmiah Informatika Global Vol. 14 No. 1
Publisher : UNIVERSITAS INDO GLOBAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36982/jiig.v14i1.2981

Abstract

The process of combining statistical techniques, mathematical calculations, Artificial Intelligence (AI) and machine learning to extract useful and interrelated information from large amounts of data. Data mining is commonly used to analyze and explore big data to get useful information. There is a lot of information that can be extracted from processing using data mining, such as analyzing consumer purchases or making decisions regarding the production process. Science has often been implemented to solve problems that arise from existing circumstances. In addition to the knowledge needed in order to solve problems or make strategic decisions in dealing with problems that arise, past experience or data that has been obtained at the time of the lights can also be used as a reference for making decisions. Data mining is the process of extracting (mining) information from a set of past data which is then displayed as knowledge to be used in accordance with the desired needs. Research on data mining has been carried out by many researchers to date related to the application of data mining to solve the problems they face, even though the problems are different in type and designation. This paper was written to review existing papers regarding data mining, especially classification. And to get information and map from research that has been done to be used as literature on the author's research plan. Through this review, it is hoped that later you can choose the right method to process data using data mining for the best results.
Sistem Rekomendasi Produk Konveksi Pada Deem Clothing Dengan Metode Knowledge Based Alwi Irham Hanafi; Agustina Srirahayu; Anisatul Farida
SMATIKA JURNAL : STIKI Informatika Jurnal Vol 14 No 02 (2024): SMATIKA Jurnal : STIKI Informatika Jurnal
Publisher : LPPM UBHINUS MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/smatika.v14i02.1338

Abstract

Knowledge-based recommendation systems have become a crucial solution in assisting customers to select products that match their preferences, particularly in the garment industry. This study aims to develop a knowledge-based recommendation system for Deem Clothing's garment products, capable of addressing the challenges of direct product consultation. The study utilizes data obtained through interviews with the owner of Deem Clothing, direct business observations, and an analysis of the product catalog data. The method involves seven product criteria constraints: product type, material type, pattern, design details, color, additional accessories, and sleeve type. The recommendation process is conducted by implementing a simple constraint-based algorithm to generate product similarity scores and rank them from highest to lowest. The results indicate that the developed recommendation system can effectively and efficiently provide product recommendations that align with customer preferences. The conclusion of this study is that knowledge-based recommendation systems can reduce customer dependence on direct consultations, enhance the shopping experience, and optimize the sales process of garment products. The implications of this research for the field of knowledge are that knowledge-based approaches in recommendation systems can be widely applied across various industries to improve customer interaction and satisfaction.
Decision Support System in Employee Admissions Using Simple Additive Weighting Algorithm in CV.Source of Shared Solutions Syahrul Rofiq Abdillah Fadli; Dwi Hartanti; Agustina Srirahayu
Jurnal Indonesia Sosial Teknologi Vol. 5 No. 6 (2024): Jurnal Indonesia Sosial Teknologi
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jist.v5i6.1131

Abstract

CV. Sumber Solusi Bersama, a software house company in Sukoharjo, faces challenges in the employee recruitment process that is still done manually. This research aims to develop a decision support system (SPK) for employee admission using the Simple Additive Weighting (SAW) algorithm. The SAW algorithm was chosen because of its ability to analyze and give weight to each criterion for the best decision-making. This research uses the waterfall system development method which is part of the System Development Life Cycle (SDLC). This system is expected to increase efficiency and accuracy in the employee selection process, as well as support fairer and more appropriate decision-making. Software feasibility testing conducted by CV. Implementation of SPK with SAW algorithm in CV. Sumber Solusi Bersama provides an alternative way to select employees that is more systematic and structured, so that it can help in achieving the company's strategic goals.
Sentiment Analysis Towards the KitaLulus Application Using the Naive Bayes Method from Google Play Store Reviews Nadia Amalia Putri; Agustina Srirahayu; Nugroho Arif Sudibyo
Jurnal Indonesia Sosial Teknologi Vol. 5 No. 10 (2024): Jurnal Indonesia Sosial Teknologi
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jist.v5i10.1244

Abstract

Job search apps like KitaLulus are essential in helping graduates find jobs based on their skills and interests. Sentiment analysis is needed to understand user opinions about the KitaLulus application. The Naive Bayes method is used in this analysis because of its high efficiency and accuracy. This research used 597 data and achieved an accuracy rate of 91%. The eval_uation results show positive sentiment values for precision, recall, and f1-score of 0.99, 0.94, and 0.97 respectively. On the other hand, the model performance is low for negative and neutral sentiments. The aim of this research is to increase user understanding of the KitaLulus application and provide valuable assistance to developers in their efforts to improve the quality of the application.
Camping Equipment Recommendation System Using Content-Based Filtering Method: A Case Study of Berkah Outdoor45 Robby Gusti Nugroho; Sri Sumarlinda; Agustina Srirahayu
International Journal Software Engineering and Computer Science (IJSECS) Vol. 4 No. 3 (2024): DECEMBER 2024
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v4i3.3078

Abstract

Camping is a favorite activity for various age groups carried out in the open air to enjoy the beauty of nature and get away from the noise of the city. The high cost of camping equipment encourages many people to prefer renting rather than buying, making Berkah Outdoor45 the main choice for nature lovers to rent camping equipment. This study aims to develop a recommendation system for selecting camping equipment using a content-based filtering mechanism with a TF-IDF approach to help users choose equipment that suits their needs. This study uses a waterfall system development model which includes the stages of analysis, design, implementation, and testing. Testing is carried out using the Blackbox method to evaluate the effectiveness of the system. The results showed that from 18 datasets, the system can provide four recommendations with the highest similarity values, namely D11 (0.377), D18 (0.354), D2 (0.320), D5 (0.311), and D1 (0.287) based on a predetermined formula. The recommendation system developed successfully provided accurate recommendations that were in accordance with user preferences, while reducing ordering errors and increasing efficiency in selecting camping equipment.
Co-Authors Afif Suryono Agung Dd Aswin Ajeng Putri Sulistyawati Alwi Irham Hanafi Andrie Prajanueri Kristianto Anggun Berlian Agustina Anindhiasti Ayu Kusuma Asri Anisatul Farida Ardianto Pambudi Arifki Dimas Sulistianto Arya Rahmadhani, Himas Asro Nasiri Atina, Vihi Aziiz, Dear Whizkid Deden Hardan Gutama Difa Alma Fionita Dwi Hartanti Dwi Hartanti Dwi Radita, Kurnia Ely Nastiti, Faulinda Ema Utami Ety Meikhati Fajar Suryani Faulinda Ely Nastiti Febrianto, Yusuf Fitriana Sekar Kinasih Galih Adi Nugraha Guterres, Juvinal Ximenes Hasanah, Herliyani Heri Prasetyo, Medhika Ikhsanuddin, Muhammad Nur Ikrar Bagaskara Intan Rahmawati Kresna Agung Yudhianto Lestari, Retna Dewi Mahmudi Mahmudi Margaretha Evi Yuliana Maulindar, Joni Mega Nur Indah Melani, Sulistyowati Dwiningsih Muhammad Ali Mashar Murniyati Murniyati Nadia Amalia Putri Nendy Akbar Rozaq Rais Nibras Faiq Muhammad Nibras Faiq Muhammad Nugroho Arif Sudibyo Nugroho, Robby Gusti Nurchim Nurchim Nurkhalis, Danang Oktaviyana Dwi Hendra Jati Oky Sulistyawan, Ramdan Pamekas, Bondan Wahyu Permatasari, Hanifah Pineda Prima Yoga Pipin Widyaningsih Pradana, Gibran Arya Pramono Pramono Pratama, Yogi Setyawan Putra Pribadie, Laras Setya Purwanto, Eko Purweni, Mei Putri, Nadia Amalia Rendi Buana Perdana Rina Arum Prastyanti Riska Rosita Robby Gusti Nugroho Rudi Susanto S Sulistyo, S Sabian Aswendro, Gregorius Sanggita Erinne Setiawan, Ardhi Tiya Setiawan, Cahya Dwi Softi Ulin Nuha Sopingi Sopingi, Sopingi Sopingi, S Sri Sumarlinda Suhatmi, Erna Chotidjah Sumarlinda, Sri Sundari . Suryani, Fajar Syaharudin Ikhsan Majid Syahrul Rofiq Abdillah Fadli Theodorus Asa Wahyu Purnama Theofilus Victor Putra Ari Pranata Tominanto, Tominanto Triyono Triyono WIJI LESTARI Wijiyanto Wijiyanto, Wijiyanto Wirawan, Ivan Kurnia Zakharia, Ade