Garuda - Garba Rujukan Digital

p-Index From 2021 - 2026

9.085

P-Index

This Author published in this journals

All Journal Jurnal Algoritma Jurnal Informatika Upgris JTAM (Jurnal Teori dan Aplikasi Matematika) Jurnal Inotera Jurnal Penelitian dan Pengabdian Kepada Masyarakat UNSIQ Indonesian Journal of Applied Informatics Simtek : Jurnal Sistem Informasi dan Teknik Komputer STRING (Satuan Tulisan Riset dan Inovasi Teknologi) Indonesian Journal of Community Services Journal of Electronics, Electromedical Engineering, and Medical Informatics Jurnal Manajemen Informatika dan Sistem Informasi Journal of Information Systems and Informatics bit-Tech JATI (Jurnal Mahasiswa Teknik Informatika) INFORMASI (Jurnal Informatika dan Sistem Informasi) G-Tech : Jurnal Teknologi Terapan Jurnal Informa: Jurnal Penelitian dan Pengabdian Masyarakat Journal of Advanced in Information and Industrial Technology (JAIIT) Infotek : Jurnal Informatika dan Teknologi Infotech: Journal of Technology Information Idealis : Indonesia Journal Information System Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Jurnal Teknik Informatika (JUTIF) Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Infotech: Jurnal Informatika & Teknologi Jurnal Pendidikan dan Teknologi Indonesia Jurnal Mandiri IT Jurnal Ilmiah IT CIDA : Diseminasi Teknologi Informasi Jurnal Teknik Informatika Jurnal Sistem Informasi Triguna Dharma (JURSI TGD) Jurnal Informatika Teknologi dan Sains (Jinteks) Jurnal Algoritma Duta.com : Jurnal Ilmiah Teknologi Informasi dan Komunikasi Biner : Jurnal Ilmiah Informatika dan Komputer Proceeding of International Conference Health, Science And Technology (ICOHETECH) Prosiding Seminar Nasional Teknologi Informasi dan Bisnis Prosiding Seminar Informasi Kesehatan Nasional Bengawan :Jurnal Pengabdian Masyarakat SmartComp Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) ABDIKOM CSRID Jurnal ilmiah teknologi informasi Asia Teknologi : Jurnal Ilmiah Sistem Informasi

Atina, Vihi

Universitas Duta Bangsa Surakarta

Author-ID : 1550769

Humanities Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Physics Public Health Social Sciences Other

Published : 79 Documents Claim Missing Document

Claim Missing Document

Articles

Title

E-Farm Marketplace In Hasanah SMEs Intan Oktaviani; Vihi Atina; Dedi Nugroho
Proceeding of International Conference on Science, Health, And Technology Proceeding of the 1st International Conference Health, Science And Technology (ICOHETECH)
Publisher : LPPM Universitas Duta Bangsa Surakarta

In the practice of animal husbandry there are still problems, namely the interaction of livestock actors who are less harmonious and less optimal marketing and sales of livestock. In addition, the presence of middlemen (intermediaries of farmers and consumers) in the sale of livestock products activities worsen the conditions of farmers. In this case it makes the farmers lose, because they get a small profit compared to the middlemen. Brokers are usually located in rural areas where people still lack information technology. As a result, they do not know the actual selling price of livestock products. The purpose of this research is to Design and Build an E-Farm for Livestock so that it can help improve the general economy of the community and facilitate the sharing system for livestock, livestock auctions and livestock trading. The System Development Method in this study uses the Rapid Application Development (RAD) Method. and System Design using Unified Modeling Language (UML). Testing this system uses the blackbox testing method and user testing using the questionnaire method. The results of testing through the blackbox can be concluded that the system developed can run and in accordance with expectations. The results of testing through the questionnaire obtained results for superadmin E-Farm Farms have been running well all the features in the system, for the leadership of this system can make reports, for breeders and member systems can help livestock marketing and livestock sharing systems.

Rule Based System in E-Commerce Dolanan Bocah Pinter Intan Oktaviani; Vihi Atina
Proceeding of International Conference on Science, Health, And Technology 2021: Proceeding of the 2nd International Conference Health, Science And Technology (ICOHETECH)
Publisher : LPPM Universitas Duta Bangsa Surakarta

The development of information technology during the industrial revolution 4.0, the existence of the internet is very much needed by the community. The sales and purchasing process is no exception. SMEs Dolanan Bocah Pinter is SMEs making educational toys for kindergarten children. Various types of educational toys have been produced. The selling and buying process currently running is face-to-face between the seller and the buyer. For the promotional media for SMEs Bocah Pinter, they still use the conventional method, namely by distributing brochures and catalogs to kindergarten schools. This is an obstacle to the development of SMEs Bocah Pinter. Because buyers are only from local residents. With these problems, E-commerce was designed by implementing a Rule Based system. For the system development method using the RAD method. SWOT analysis is used to analyze business processes and PIECES analysis for weakness analysis of the running system compared to the system to be developed. E-commerce design is expected to help SMEs Bocah Pinter in developing its business, it is hoped that buyers will not only come from the surrounding community but from various regions.

CLOTHING PRODUCT SELECTION RECOMMENDATION SYSTEM WITH KNOWLEDGE BASED RECOMMENDATION METHOD Vihi Atina; Dwi Hartanti
Proceeding of International Conference on Science, Health, And Technology Proceeding of the 3rd International Conference Health, Science And Technology (ICOHETECH)
Publisher : LPPM Universitas Duta Bangsa Surakarta

The market which is the largest wholesaler of clothing in Central Java is the Klewer market area and its surroundings. One of the clothing stores in the area is the Simple Inc Store. Simple Inc Store is a large kiosk that sells clothing products in the form of various types of shirts, t-shirts, jackets, sweaters and pants. Sales of products in these stores are still done conventionally, namely customers come directly to the store to choose and buy products. The number of clothing products that are sold makes customers experience difficulties in the process of selecting clothing products. Therefore, it is necessary to develop a recommendation system that can assist customers in choosing clothing products. The purpose of this study is to build a Recommendation System for Selection of Clothing Products by applying the Knowledge Based Recommendation method. The research method used in this research is Rapid Application Development (RAD) which consists of 5 stages, namely Business Modeling, Data Modeling, Process Modeling, Application Generation, and Testing. Knowledge based recommendation has the advantage of being able to set the level of user priority based on the user's needs for the product. Knowledge based recommendation on the recommendation system for the selection of clothing products can provide 5 choices of search attributes for clothing products, namely brand, price, material, color and size. clothing product selection recommendation system can display clothing product information, perform clothing searches based on customer needs based on a choice of 5 attributes and can display clothing product recommendations. Clothing products with the highest similarity value are displayed as clothing product recommendations. The results of the system testing using the blackbox testing method show that the functions in the recommendation system for selecting clothing products have successfully run as expected.

FP GROWTH ALGORITHM MODELING FOR PRODUCT INVENTORY ANALYSIS Hartanti, Dwi; Atina, Vihi
Proceeding of the International Conference Health, Science And Technology (ICOHETECH) 2023: Proceeding of the 4th International Conference Health, Science And Technology (ICOHETECH)
Publisher : LPPM Universitas Duta Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47701/icohetech.v4i1.3390

Pusaka Tani is a shop that provides agricultural needs such as fertilizers, rice seeds and plant medicines. Sales transactions at the Farmer's Library still use a manual system, namely by using notes as proof of sales transactions. The amount of data that accumulates results in less useful data. So that Pusaka Tani cannot know the products that are often purchased by consumers simultaneously which results in many products being sold out without the knowledge of Pusaka Tani which results when consumers are not going to buy these products and products that are rarely purchased by consumers become unsold. The purpose of this study is to model FP Growt in the analysis of product stock supply. In the research conducted, the support value and confidence value used is a minimum support value of 30% and a minimum confidence value of 70%. The results obtained from the research conducted are for the highest lift ratio value of 1.67 and the lowest is 1.09

Sentiment Analysis of Grab App Reviews with Machine Learning Approach Atina, Vihi; Srisuk, Prattana
Proceeding of the International Conference Health, Science And Technology (ICOHETECH) 2024: Proceeding of the 5th International Conference Health, Science And Technology (ICOHETECH)
Publisher : LPPM Universitas Duta Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47701/icohetech.v5i1.4218

Technological advances in online transportation services such as Grab facilitated user mobility. User reviews of the application were a valuable source of information for developers to improve service quality and for users to make decisions regarding service use. This research aimed to analyze the sentiment of Grab application user reviews using a machine learning approach. The system development method used in this research was the Agile method with the stages of Planning, Iterative Development, and Testing. The machine learning algorithms applied were Random Forest, Support Vector Machine (SVM), and Naive Bayes. The results of sentiment analysis of Grab application reviews were in the form of classification of reviews into positive, neutral, and negative sentiments. The test results showed that the Random Forest algorithm had the highest accuracy rate of 95.14%. This indicated that Random Forest was effective in identifying sentiment patterns in review data.

SMART RECOMMENDATION SYSTEM MODELING FOR BATIK USING THE CONTENT BASED RECOMMENDATION METHOD Atina, Vihi; Purwanto, Eko; Mohd, Farahwahida
Proceeding of the International Conference Health, Science And Technology (ICOHETECH) 2025: Proceeding of the 6th International Conference Health, Science And Technology (ICOHETECH)
Publisher : LPPM Universitas Duta Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47701/f0vwwz52

Batik was an intangible cultural heritage recognized by UNESCO, with unique variations of motifs, colors, and philosophies in each region, both in Indonesia and Malaysia. The development of the fashion industry and e-commerce brought both opportunities and challenges, since users often had difficulties finding batik that matched their preferences, occasions, or symbolic needs. This research aimed to develop a smart recommendation system model for batik using the content-based recommendation method. The dataset consisted of batik data from Indonesia and Malaysia with attributes such as region of origin, dominant color, main motif, category, and usage. The system development method applied was Prototyping, which included the stages of requirement identification, quick design, and prototype construction. The results showed that the system was able to provide relevant recommendations according to user preferences. For example, when the user selected batik preferences with green color, leaf motif, and casual usage, the system recommended Batik Priangan from Indonesia with the highest similarity value of 0.75. These findings proved that the content-based approach successfully connected batik attributes with user needs. This research was expected not only to simplify the search for batik products in the digital era but also to contribute to the preservation of batik culture through the utilization of information technology.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47701/icohetech.v4i1.3390

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47701/icohetech.v5i1.4218

Co-Authors Adri Surya Kusuma Agung Saputro Agustina Srirahayu Akbar Permana, Danny Aldi Wahyudi Arta Amad Tri Yanto Andi Saputro Andreas Sigit Andreas Anin Aliya Pahlevi, Khumaira Anisatul Farida Anjar Setiawan Aprilisa Arum Sari Ardi Lestari, Sofiana Arlin Govinda Putra Atmojo, Fernando Winantya Bagaskara, Ikrar Bagaskara, Mochammad Naufal Bagus Muhammad Latif Bambang Prasetyo Bawindra Surya, Lintang Chiva Olivia Bilah Dedi Nugroho Dimas Abimanyu Sutrisno Putro Dinita Christy Pratiwi Dwi Hartanti Dwi Hartanti Dwi Hartanti Eko Purwanto Eko Purwanto Ema Sagita Desylawati endra setiyawan Esti Suryani Fajrin Fadhilah, Dayinta Fajrin, Shoffia Faulinda Ely Nastiti FAULINDA ELY NASTITI Hafids Sidiq, Muhammad Hartanti , Dwi Hartanti, Dwi Hasanah, Herliyani ibnu - salifi Imaduddin, Mohamad Indrastata, Ilham Buyung Infantono, Ardian Intan Oktaviani Janah, Selvi Miftakhul Joni Maulidar Kurnia Sari, Vena Lufti Puspitasari Maulidar, Joni Maulindar, Joni Meraldy Fiko Rastio Ajie Mohd, Farahwahida Muhamad Ridwan Muhammad Alwan Nurdin Muhammad Dhafa Diar Ardhana Muhammad Fahmi Panwar Muhammad Frasha Candra Perdana Nailurrizqi, Adistya Nastiti, Faulinda Eli Niken Pratiwi, Niken Nugroho Arif Sudibyo Nur Arifin, Taufiq Nur Mahar Aji mahar Nurchim Nurchim Nurdin, Muhammad Alwan Nurlita, Catarina Ivanda Nurmalitasari Nurmalitasari Nurmalitasari Nurmalitasari Oktaviani, Intan Pegi Hasyim Rosidi Permatasari, Hanifah Pipin Widyaningsih Pradana, Afu Ichsan Pradityo Utomo Pramoedya Ananta Dzikri Pratiwi, Dinita Christy Purnama, Joel Adikurnia Purwanto, Eko Putra, Hasda Surya Putri, Della K. Putri, Desy Puspa Ragil Saputro, Abdullah Raharisti, Nur Arifah Ramadhan, Chandra Ratmini, Yuli Reza Pradana, Areta Ridwan, Alfian Junior Rifan Amirul H, Muhammad Rifdah Azizah, Hani Rizky Setiawan, Fadli Rudi Susanto Rusdiana Ekawati, Ratih Saputra, Dwi Bagus Saputri, Okta Ramma Saputro, Nurbagus Sejati, Ariya Putra Setiawati, Neha Poetri Sihwi, Sari W. Sopingi Sopingi, Sopingi SRI SUMARLINDA Srisuk, Prattana Sulami, Atik Sulistiyo, Galih Suwandi, Djatmiko Tanwal Hu, Wupiwulang Taufiq NurHidayat Theo Santoso, Daniel Umi Salamah Utomo, Dimas Cahyo Viona Putri Ardiana Vita Aryadi Wahyu Kurniawan, Christian Wibowo, Anita Carolina Wiharto Wiharto Wijiyanto Wijiyanto Wijiyanto, Wijiyanto Yommy Adhiwira Yudha

Title Search

Found 8 Documents Search Journal : Proceeding of International Conference Health, Science And Technology (ICOHETECH)

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title

Found 8 Documents
Search
Journal : Proceeding of International Conference Health, Science And Technology (ICOHETECH)