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Atina, Vihi
Universitas Duta Bangsa Surakarta
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 Veterinary Other

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PROTOTYPE APLIKASI TUMBUH KEMBANG ANAK BERBASIS ANDORID Srirahayu, Agustina; Atina, Vihi
Prosiding Seminar Informasi Kesehatan Nasional 2024: SIKesNas 2024
Publisher : Fakultas Ilmu Kesehatan Universitas Duta Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47701/sikenas.vi.3913

Abstract

Prototype aplikasi tumbuh kembang anak berbasis android adalah sebuah aplikasi yang diguankan oleh orangtua untuk melakukan skrining tumbuh kembang anak menurut usia. Prototype aplikasi tumbuh kembang anak berbasis android yang menyajikan 6 menu dengan hak akses orangtua yaitu Tahapan Perkembangan Anak Menurut Umur, Ganguan Tumbuh Kembang, Pembagian Kelompok Umur Stimulasi Anak, Petunjuk Penggunaan KPSP, Algoritme Kuesioner Pra Skrining Perkembangan (KPSP) dan Kuesioner KPSP. Aplikasi ini dibangun dengan database MySQL yang terdiri dari 4 tabel yaitu identitas, kat.gerak, kuesioner, dan usia. Tahapan penelitian yang digunakan adaah prototype dengan 4 langkah yaitu mengumpulkan dan menganalsis kebutuhan, membuat perancangan awal, membangun prototype. Dalam pembuatan prototype aplikasi ini juga dilakukan validasi oleh seorang pakar tumbuh kembang anak yaitu dr. Fatika Puteri Rosyi, M.Biomed, hasilnya informasi yang tersaji dalam aplikasi tumbuh kembang anak sudah valid sesuai dengan kebijakan IDAI dan DEPKES.
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

Abstract

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.
Pelatihan Program Transliterasi antara Aksara Latin dan Aksara Jawa dengan Metode Finite State Automata (FSA) di SMA Al Azhar Syifa Budi Solo Farida, Anisatul; Atina, Vihi
Jurnal Pengabdian kepada Masyarakat Bidang Ilmu Komputer Vol 1 No 2 (2023): Jurnal Pengabdian Kepada Masyarakat Bidang Ilmu Komputer (ABDIKOM)
Publisher : Fakultas Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Aksara Jawa semakin ditinggalkan seiring dengan diperkenalkannya penulisan Latin atau Roman yang telah menjadi standar dunia internasional. Beberapa upaya telah dilakukan untuk melestarikan dan mensosialisasikan kembali aksara Jawa salah satunya adalah usaha mengintegrasikan aksara Jawa ke sistem informasi elektronik. Pembelajaran menulis huruf Jawa media yang diterapkan dalam pembelajaran terbilang sangat minim, sehingga dalam pembelajaran menulis huruf Jawa media yang diterapkan masih bersifat kurang interaktif, dan modern sehingga kurang mampu menarik minat siswa dalam mempelajari aksara Jawa. Tujuan pendampingan ini adalah memberikan pelatihan bagi siswa SMA Al Azhar Syifa Budi Solo untuk menjalankan program transliterasi antara aksara Latin dan aksara Jawa. Adapun program yang digunakan adalah dengan Metode Finite State Automata (FSA). Metode ini dipilih karena Program dapat mentransliterasikan aksara Latin ke aksara Jawa maupun sebaliknya. Setelah platform dibuat selanjutnya adalah pendampingan cara penggunaannya sebagai pelatihan didapatkan hasil akhir bahwa 87% siswa dapat menerima dengan baik pelatihan program transliterasi aksara latin dan aksara jawa. Sebagai tambahan, program transliterasi aksara latin dan aksara jawa sudah bisa di akses via web: https://transliterasiaksarajawa.000webhostapp.com. Siswa maupun pengguna lainnya dapat mengakses secara online dan dapat mencoba sendiri program transliterasi secara online sehingga diharapkan dapat bermanfaat untuk pembelajaran
Digital transformation of warehouse management through web-based information system at CV. Al Salam Janah, Selvi Miftakhul; Atina, Vihi; Permatasari, Hanifah
Jurnal Mandiri IT Vol. 13 No. 1 (2024): July: Computer Science and Field
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mandiri.v13i1.330

Abstract

Effective and efficient inventory management is crucial for the operational success of trading companies. CV. Al Salam, engaged in fabric trading in Sukoharjo, faces significant challenges in managing fabric stocks at their main warehouse. Currently, inventory management at CV. Al Salam is done manually, often leading to issues such as recording errors and document piles. This research aims to develop a web-based warehouse information system using technologies like PHP, MySQL, and JavaScript to address these challenges. The system is expected to provide real-time stock monitoring, automated restock notifications, and an interactive dashboard for data analysis. The Waterfall development method is employed, covering requirements analysis, design, development, and testing phases. Testing results show the system functions according to specifications with a 100% success rate, enhancing recording accuracy and speeding up reporting and goods distribution processes. The research findings indicate that this system successfully improves operational efficiency at CV. Al Salam by reducing recording errors and accelerating the reporting and distribution processes.
Pengembangan Sistem Informasi Pemesanan dan Custom Produksi Sarung Tradisional Berbasis web endra setiyawan; vihi Atina; Sri Sumarlinda
TEKNOLOGI: Jurnal Ilmiah Sistem Informasi Vol 14 No 2 (2024): July
Publisher : Universitas Pesantren Tinggi Darul 'Ulum (Unipdu) Jombang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26594/teknologi.v14i2.4647

Abstract

Di desa Kenteng yang terletak di kelurahan Pojok, kecamatan Tawangsari, Kabupaten Sukoharjo terdapat sebuah usaha yang dikenal dengan nama Home Industry Sarung Tradisional Botol Dunia yang bergerak di bidang kerajinan sarung. Dalam pembuatan sarung masih menggunakan alat tenun tradisional. Dalam pemesanan produk yang ada pada Home Industri Sarung Tradisional Botol Dunia masih manual, yaitu pelanggan datang langsung ke tempat produksi dan melakukan pemesanan pada pemiliknya. Hal tersebut kurang efektif dalam dan membutuhkan waktu yang lama dalam segi penjualan produk sehingga dapat menurunkan minat beli pelanggan. Sistem informasi berbasis web ini dapat membantu menyelesaikan masalah-masalah yang ada.. Dalam sistem pembuatan informasi pemesanan sarung tenun tradisional nantinya terdapat fitur custom produk guna untuk memanjakan pemesanan pelanggan, sehingga pelanggan dapat meminta corak dan warna sarung sesuai yang diinginkan pelanggan. . Pengguna diharapkan dapat lebih mudah melakukan pembelian, untuk barang-barang yang mereka inginkan dengan menyesuaikan fitur dan menambahkan elemen pada system. Aplikasi ini dirancang dan dikembangkan dengan menggunakan metodologi pengembangan waterfall. Model ini mengikuti proses yang metodis dan berurutan. Fase-fase dari teknik waterfall adalah sebagai berikut: analisis, desain, implementasi, pengujian, dan pemeliharaan. Temuan penelitian ini, dapat meningkatkan penjualan sarung tradisional menjadi modern. Dengan website penjualan sarung masyarakat menjadi lebih mudah dalam membeli produk sarung dan transaksi menjadi lebih mudah. Dengan adanya sistem ini dapat membuat pangsa pasar sarung tradisional semakin meningkat. Selain itu, web ini memiliki kemampuan untuk memaksimalkan efisiensi waktu dan sumber daya. Dan Dengan fitur custom produksi yang dimana pelanggan dapat menyesuaikan corak sesuai yang diinginkan dapat mempermudah dalam pemesanan. Sistem ini juga terdapat pembuatan laporan penjualan yang dapat didownload sehingga memudahkan admin dalam melakukan pelaporan penjualan.
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

Abstract

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

Abstract

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.
User Centered Design Approach for Developing a Health Monitoring System for Posyandu Okta Ramma Saputri; Hanifah Permatasari; Vihi Atina
bit-Tech Vol. 8 No. 1 (2025): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i1.2737

Abstract

Indonesia continues to report high maternal and infant mortality rates, underscoring the urgent need for effective community-based health information systems, particularly in rural areas served by Posyandu (Integrated Health Service Posts). Despite their crucial role in primary healthcare delivery, many Posyandu still rely on manual data recording, resulting in fragmented documentation, delayed health risk detection, and inefficient decision-making processes. This study adopts a design research approach, utilizing the User-Centered Design (UCD) methodology to develop a web-based health monitoring system tailored for non-technical users, specifically Posyandu cadres in Dukuh Village, Boyolali Regency. The UCD process involved four iterative stages: understanding the user context, specifying user requirements, designing high-fidelity interface prototypes using Figma, and conducting usability evaluation through the System Usability Scale (SUS). The developed prototype includes key features such as digital patient data entry, real-time health examination input, visual health monitoring graphs, and automatic report generation by category and period. Usability testing was conducted with five Posyandu cadres who participated in defined usage scenarios and completed the SUS questionnaire. The resulting average SUS score was 84, categorized as “Excellent,” indicating that the system is intuitive, accessible, and efficient for users with limited technological experience. These findings demonstrate that the UCD approach effectively aligns system functionality with user needs, enhancing usability and supporting timely, data-driven health service decisions. This model offers significant potential for scalability and adaptation in other Posyandu settings, contributing to more integrated and responsive public health interventions at the village level.
Fuzzy-IOWA-Based Group Decision Support System (GDSS) for Interpreting DASS Scores with Dynamic Expert Weighting Wiharto; Eka P. Meravigliosi; Umi Salamah; Esti Suryani; Vihi Atina; Pradityo Utomo
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 10 No 3 (2026): June 2026
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v10i3.7340

Abstract

This research develops a Group Decision Support System (GDSS) to address subjectivity and ambiguity in the interpretation of Depression Anxiety Stress Scales (DASS-21) scores, particularly in cases of symptom overlap across dimensions. The system introduces a structured weighting mechanism in which the influence of each expert is determined based on objective criteria, including clinical experience, education level, and academic contributions. The methodology applies Simple Additive Weighting (SAW) to quantify the relative importance of five clinical experts, resulting in Expert 2 (27.66%) and Expert 1 (27.36%) having the highest influence within the group. These weights are then incorporated into a Fuzzy-Induced Ordered Weighted Averaging (Fuzzy-IOWA) framework to aggregate expert judgments into a unified consensus model. The results indicate that the proposed approach is able to produce a consistent interpretation structure, with a tendency toward the Anxiety dimension in cases of overlapping symptoms. By integrating expert consensus with patient self-report scores, the system generates a structured interpretation profile of DASS-21 responses. The proposed GDSS provides a systematic and transparent aggregation framework that reflects expert reasoning. However, it is intended as a methodological support tool rather than a substitute for clinical diagnosis. The novelty of this work lies in the integration of SAW-based objective expert capability quantification with Fuzzy-IOWA aggregation and QGDD-based consensus characterization, forming a transparent and mathematically accountable GDSS pipeline that has not been previously applied in the context of DASS-21 interpretation.
Sistem Rekomendasi Oleh-Oleh Kerajinan Khas Yogyakarta Menggunakan Pendekatan Content-Based Filtering Muhammad Anugrah Putra; Muhammad Hanif Hilmi; Reza Aditya Angga Putra; Ahmad Bagus Prakoso; Rio Sandy Laksono; Vihi Atina
Buletin Ilmiah Ilmu Komputer dan Multimedia Vol 4 No 1 (2026): Buletin Ilmiah Ilmu Komputer dan Multimedia (BIIKMA)
Publisher : Shofanah Media Berkah

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Keberagaman produk oleh-oleh kerajinan khas Yogyakarta menyebabkan wisatawan dan masyarakat mengalami kesulitan dalam menemukan produk yang sesuai dengan kebutuhan dan preferensi karena proses pencarian masih dilakukan secara manual. Penelitian ini bertujuan merancang dan mengimplementasikan sistem rekomendasi oleh-oleh kerajinan khas Yogyakarta menggunakan pendekatan Content-Based Filtering untuk membantu pengguna memperoleh produk yang paling relevan berdasarkan karakteristiknya. Metode pelaksanaan dilakukan melalui pengumpulan dataset produk, preprocessing data, pembobotan menggunakan Term Frequency–Inverse Document Frequency (TF-IDF), perhitungan tingkat kemiripan dengan Cosine Similarity, serta implementasi sistem menggunakan framework Laravel 9 dan basis data MySQL. Hasil penelitian menunjukkan bahwa sistem berhasil mengolah atribut produk berupa kategori, bahan, lokasi asal, dan fungsi produk sebagai representasi karakteristik setiap produk. Proses preprocessing mampu menghasilkan data yang lebih terstruktur sehingga mendukung pembentukan vektor TF-IDF secara optimal. Perhitungan Cosine Similarity berhasil menentukan tingkat kemiripan antarproduk berdasarkan nilai similarity yang dihasilkan. Sistem mampu menampilkan lima rekomendasi produk dengan tingkat kemiripan tertinggi terhadap produk yang dipilih pengguna, seperti pada produk kerajinan batik “Batik Kawung Elegan” yang merekomendasikan produk “Batik Tulis Giriloyo” dengan nilai similarity tertinggi sebesar 0,4453 dan produk “Syal Batik Motif Sekar Jagad” dengan nilai similarity 0,3316. Implementasi antarmuka yang terdiri atas halaman katalog, halaman detail produk beserta rekomendasi, dan halaman administrasi berjalan sesuai dengan kebutuhan fungsional sistem. Penyimpanan matriks kemiripan pada basis data membuat proses penyajian rekomendasi menjadi lebih cepat karena tidak memerlukan perhitungan ulang setiap kali pengguna mengakses aplikasi. Secara keseluruhan, sistem rekomendasi yang dikembangkan mampu membantu pengguna menemukan alternatif oleh-oleh kerajinan khas Yogyakarta secara lebih efektif sekaligus mendukung promosi produk UMKM melalui penyajian rekomendasi berbasis kesamaan karakteristik produk.
Co-Authors Adri Surya Kusuma Afu Ichsan Pradana Agung Saputro Agustina Srirahayu Ahmad Bagus Prakoso 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 Eka P. Meravigliosi Eko Purwanto Eko Purwanto Ema Sagita Desylawati endra setiyawan Esti Suryani Esti Suryani Fajrin Fadhilah, Dayinta Fajrin, Shoffia Farahwahida Mohd 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 Marobo Maulidar, Joni Maulindar, Joni Meraldy Fiko Rastio Ajie Mohd, Farahwahida Muhamad Ridwan Muhammad Alwan Nurdin Muhammad Anugrah Putra Muhammad Dhafa Diar Ardhana Muhammad Fahmi Panwar Muhammad Frasha Candra Perdana Muhammad Hanif Hilmi 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 Okta Ramma Saputri Oktaviani, Intan Pegi Hasyim Rosidi Permatasari, Hanifah Pipin Widyaningsih Pradana, Afu Ichsan Pradityo Utomo 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 Aditya Angga Putra Reza Pradana, Areta Ridwan, Alfian Junior Rifan Amirul H, Muhammad Rifdah Azizah, Hani Rio Sandy Laksono Rizky Setiawan, Fadli Rizky Vera Oktarina Rudi Susanto Rusdiana Ekawati, Ratih Saputra, Dwi Bagus Saputro, Nurbagus Sejati, Ariya Putra Septi Dwi Supriati 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 Umi Salamah Utomo, Dimas Cahyo Viona Putri Ardiana Vita Aryadi Wahyu Kurniawan, Christian Wibowo, Anita Carolina Wiharto Wiharto Wiharto Wijiyanto Wijiyanto Wijiyanto, Wijiyanto Yommy Adhiwira Yudha