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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Jurnal Sistem Komputer Jurnal Teknologi Informasi dan Ilmu Komputer Infotech Journal CESS (Journal of Computer Engineering, System and Science) Jurnal Komtika (Komputasi dan Informatika) METHODIKA: Jurnal Teknik Informatika dan Sistem Informasi Share : Journal of Service Learning JURIKOM (Jurnal Riset Komputer) JURTEKSI Kumawula: Jurnal Pengabdian Kepada Masyarakat Jurnal Teknologi Informasi dan Terapan (J-TIT) Jurnal Ilmiah Edunomika (JIE) INFORMASI (Jurnal Informatika dan Sistem Informasi) Journal Cerita: Creative Education of Research in Information Technology and Artificial Informatics G-Tech : Jurnal Teknologi Terapan Jurnal Informa: Jurnal Penelitian dan Pengabdian Masyarakat Infotech: Journal of Technology Information Jurnal Teknik Informatika (JUTIF) Journal Computer Science and Informatic Systems : J-Cosys Jurnal Dinamika Informatika (JDI) Jurnal Teknik Informatika Jurnal Informatika Teknologi dan Sains (Jinteks) Duta.com : Jurnal Ilmiah Teknologi Informasi dan Komunikasi Journal of Comprehensive Science Duta Abdimas: Jurnal Pengabdian Masyarakat Biner : Jurnal Ilmiah Informatika dan Komputer Proceeding of International Conference Health, Science And Technology (ICOHETECH) Prosiding Seminar Nasional Teknologi Informasi dan Bisnis Innovative: Journal Of Social Science Research Journal Of Artificial Intelligence And Software Engineering SmartComp CSRID Jurnal Komtika (Komputasi dan Informatika) Jurnal Teknik Informatika dan Teknologi Informasi Edcomtech: Jurnal Kajian Teknologi Pendidikan

FAULINDA ELY NASTITI

Universitas Duta Bangsa Surakarta

Author-ID : 328651

Arts Humanities 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 Law, Crime, Criminology & Criminal Justice Library & Information Science Mechanical Engineering Medicine & Pharmacology Physics Public Health Social Sciences Other

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Predicting Indonesian Inflation Rate Using Long Short-Term Memory (LSTM) Wijaya, Muhammad Krisna; Nastiti, Faulinda Ely; Farida, Anisatul
Journal of Artificial Intelligence and Software Engineering Vol 5, No 3 (2025): September
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jaise.v5i3.7178

Inflation is a crucial economic indicator that requires an accurate prediction model. This research aims to develop a prediction system for the monthly inflation rate in Indonesia using the Long Short-Term Memory (LSTM) architecture. The method includes historical data acquisition from Bank Indonesia, preprocessing with Min-Max Scaler normalization, and training a univariate LSTM model. Evaluation results show excellent performance with an MAE of 0.2999, an RMSE of 0.3903, and an R² of 0.8796, indicating the model explains 88% of the data's variability. It is concluded that LSTM is effective for inflation forecasting in Indonesia and serves as a solid baseline for future research.

Perangkat Lunak Bantu Paleontologi Penentuan Usia Fosil Purba Menggunakan Pendekatan Rule Based Architecture Nastiti, Faulinda Ely; Widyaningsih, Pipin
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 3 No 3: September 2016
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

AbstrakSitus Sangiran merupakan situs purba digunakan untuk musium dan konservasi fosil-fosil yang ditemukan pada kawasan Sangiran. Kegiatan konservasi dilakukan oleh seksi Eksplorasi dengan melakukan analisis laboratorium menggunakan metode relatif. Metode relatif dapat memungkinkan perbedaan hasil usia fosil. Perangkat lunak bantu dibuat dengan tujuan untuk mengurangi subjektifitas dan ketidaksamaan persepsi penentuan usia fosil. Perangkat lunak dibangun berdasarkan kriteria lapisan tanah yang dimiliki oleh fosil tersebut dengan kaidah-kaidah yang di gunakan oleh seksi Eksplorasi Balai Besar Situs Manusia Purba Sangiran. Penelitian ini mengadopsi metode penelitian Software Engineering Expert System. Basis aturan yang digunakan adalah metode Forward Chaining, dimana penentuan usia fosil didapatkan dari penginputan ciri-ciri lapisan tanah dimana fosil ditemukan. Perangkat Lunak Paleontology memiliki 13 basis aturan. Basis aturan penelusuran usia fosil yang dikembangkan sesuai dengan akuisisi pengetahuan seksi Eksplorasi. Perangkat lunak membantu para ahli geologi untuk menentukan usia fosil secara objektif sesuai kaidah-kaidah penentuan umur fosil dengan metode Relatif. Pengujian tingkat kepercayaan Perangkat Lunak diukur dengan metode Certainly Factor.Kata kunci: Sistem Pakar,Penelusuran Kedepan, Paleontology, Sangiran, Tingkat KepercayaanAbstractSangiran is an archeology site that is used as museum and fossil conservation that is found around Sangiran. Conservation activities carried out by Exploration Devision by conducting laboratory analysis using relative method. Those result some contradiction between on the statement of the fossil age.Then a software is built to help reduce subjectivity and perception of inequalities determining the age of fossils. The software is built based on the criteria of layers of land owned by the fossils as ruled by Sangiran Exploration Devision. This study adopts the research Software Engineering Expert System. Forward Chaining method is the basis of rules that are used, where the determination of the age of the fossils obtained from inputting the characteristics of the soil layer discovery of fossils.Paleontology software has 13 base rules to investigate the fossil age based on knowledge acquisition by Sangiran Exploration Devision. The software helps the geologists to determine the age of fossils objectively as written on the fossils age determination. Software testing conducted to measure confidence level by using Certanly FactorMetode. Keywords: Expert System, Forward Chaining, Paleontologi, Sangiran, Certainly Factor

Sistem Informasi Perpustakaan Berbasis Web Pada Smk Farmasi Nasional Surakarta Ikhsanudin, Muhammad; Muhtarom, Moh.; Ely Nastiti, Faulinda
Journal of Comprehensive Science Vol. 3 No. 3 (2024): Journal of Comprehensive Science (JCS)
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/jcs.v3i3.651

SMK Farmasi Nasional Surakarta merupakan salah satu sekolah menengah kejuruan swasta yang berada di kota Surakarta. Untuk menunjang proses kegiatan belajar mengajar, tersedia sebuah perpustakaan yang dapat diakses oleh seluruh warga sekolah. Berdasarkan hasil observasi dan wawancara pada perpustakaan SMK Farmasi Nasional Surakarta dapat disimpulkan bahwa proses pengelolaan data perpustakaan masih dilakukan secara manual menggunakan buku dan microsoft excel. Sehingga menimbulkan berbagai masalah seperti proses pendataan dan pengelolaan data perpustakaan membutuhkan waktu yang lama, petugas kesulitan dalam memonitoring peminjaman buku, serta proses pembuatan laporan yang lama. Penelitian ini bertujuan untuk membangun sistem informasi perpustakaan berbasis web untuk memudahkan petugas dalam mengelola dan memonitoring data perpustakaan. Metode yang digunakan dalam pengembangan sistem adalah prototype, dan metode pemodelan sistem menggunakan UML (Unified Modelling Language). Hasil pengujian sistem menggunakan metode Blackbox menunjukkan bahwa seluruh fitur yang terdapat pada sistem dapat berjalan sesuai dengan yang diharapkan. sedangkan untuk hasil pengujian pengguna menunjukan persentase respon pengguna sebesar 96% untuk kepala sekolah, 92% untuk kepala perpustakaan, 100% untuk petugas, dan 96% untuk anggota sehingga dapat disimpulkan bahwa sistem informasi perpustakaan dapat diterima dengan baik dan telah sesuai dengan kebutuhan pengguna.

Optimasi Manajemen Bahan Baku Melalui Sistem Digital Inventori Ilyas, Daffa; Ely Nastiti, Faulinda; Oktaviani, Intan
Innovative: Journal Of Social Science Research Vol. 4 No. 4 (2024): Innovative: Journal Of Social Science Research
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/innovative.v4i4.12882

Sablon Blueprint Outlet Surakarta merupakan usaha yang bergerak pada bidang konveksi dan sablon. Usaha ini menerima pesanan bahan mentah seperti pigmen warna, bahan sablon hingga barang jadi seperti sablon kaos dan pakaian seragam. Dalam kegiatan pengelolaan inventaris bahan dan produk masih dilakukan pencatatan secara manual. Hal ini dinilai kurang efektif dikarenakan usaha semakin berkembang yang berakibat meningkatnya jumlah inventaris bahan dan produk. Untuk itu peneliti melakukan penelitian dengan topik sistem informasi inventarisasi bahan baku sablon pada Blueprint outlet Surakarta. Dengan harapan dapat menjadi solusi atas permasalahan pelaku usaha serta meningkatkan efisiensi pengelolaan inventarisasi bahan baku sablon.

Pelatihan Kesehatan Dan Keselamatan Kerja Bagi Siswa SMK Kesehatan Darul Hidayah Rosita, Riska; Ely Nastiti, Faulinda
Duta Abdimas Vol. 1 No. 2 (2022): Duta Abdimas: Jurnal Pengabdian Masyarakat
Publisher : LPPM Universitas Duta Bangsa Surakarta

Hospital employees have a very high risk of disease. To prevent and reduce the risk of these hazards, it is necessary to implement occupational safety and health efforts in hospitals. This helps in patient safety. All prospective health workers must understand the importance of occupational safety and health, one of which is students at the Darul Hidayah Health Vocational High School (SMK) Sukoharjo. So the purpose of this community service activity is to increase students' knowledge and skills about the importance of occupational safety and health to protect themselves from injury due to work accidents, as well as to prevent the risk of injury to patients. The activity method starts from the stage of work preparation, education, training, monitoring and evaluation, and reporting. The results showed a positive response from the principal and students during service activities. Now students have to understand how to use disinfectants properly, how to wash hands properly, and how to use personal protective equipment properly to prevent work accidents. In the monitoring and evaluation process, all students were able to answer all questions correctly. So it can be concluded that the implementation team has succeeded in helping to improve the knowledge and skills of Darul Hidayah Sukoharjo Health Vocational School students about health and safety efforts for health workers.

EPIDEMIC PROGNOSIS: COMPARATIVE PERFORMANCE OF MACHINE LEARNING AND DEEP LEARNING MODELS FOR PREDICTING VIRUS TRANSMISSION DYNAMICS Ely Nastiti, Faulinda; Musa, Shahrulniza; Yafi, Eiad; Ardiyanto, Marta
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.v4i1.3401

The transmission of viral diseases, such as COVID-19, influenza, and other viral strains, poses a substantial worldwide challenge. In the context of health, it is necessary to possess a comprehensive comprehension, meticulous examination, and precise anticipation of the dissemination of this infectious disease. Nonetheless, the presence of diverse data characteristics among different nations poses a considerable obstacle in the development of prediction models for assessing the transmission, mortality, and recovery rates in Indonesia. Understanding the intricacies of viral transmission poses a significant hurdle because to the fluctuating nature of the generalization rate, which is contingent upon country-specific data.The research entailed a comparison of different predictive models, including Random Forest, Simple Linear Regression (SLR), Gaussian Naive Bayes, Multi-Layer Perceptron (MLP), H2O, and Long Short-Term Memory (LSTM), with the purpose of predicting viral transmission. The evaluation metrics encompass MAE, RMSE, and MAPE. The outcomes of the examination of comparison models will aid in identifying the most suitable model for forecasting the transmission of the virus, encompassing the rates of recovery, death, and positive cases, within the specific setting of Indonesia. This work has significance in elucidating the inherent trade-off between efficiency and accuracy within the realm of dynamic data modeling, specifically in the context of COVID-19 viral data.

PERPEKSTIF CUSTONER DALAM E-COMMERCE: STUDI KUALITATIF TENTANG PENGARUH DISKON DAN GRATIS ONGKIR TERHADAP MINAT BELI Nur Muftiyanto, R. Taufiq; Purnomo, Singgih; Nastiti, Faulinda Ely
JURNAL ILMIAH EDUNOMIKA Vol. 8 No. 2 (2024): EDUNOMIKA
Publisher : ITB AAS Indonesia Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29040/jie.v8i2.12998

E-commerce has become an integral part of consumer life, with the rapid growth of this industry. Customer perceptions of purchasing drivers are crucial in understanding consumer behavior within the E-commerce ecosystem. This research aims to explore customer perceptions regarding the influence of two main factors, namely discounts and free shipping, on purchase intent in the context of E-commerce. The research methodology employs a qualitative approach through literature review to elaborate on relevant previous studies concerning customer perceptions in E-commerce, particularly in the context of discounts and free shipping. The results of the literature review reveal various perspectives and findings that can provide in-depth insights into the impact of these two factors on consumer purchase intent. The research findings highlight that discounts and free shipping play a crucial role in shaping customer perceptions, significantly influencing their purchase intent. A brief discussion presents the key findings from the literature review, illustrating the contributions of each factor to purchase decisions. The conclusion of this study provides a holistic overview of the importance of discounts and free shipping in stimulating customer purchase intent in E-commerce. Practical implications and suggestions for further research are also discussed. Keywords : E-commerce, Customer Perception, Purchase Intent.

Analisis Keamanan Sistem Informasi Menggunakan Sudomy dan OWASP ZAP di Universitas Duta Bangsa Surakarta Hariyadi, Dedy; Nastiti, Faulinda Ely
Jurnal Komtika (Komputasi dan Informatika) Vol 5 No 1 (2021)
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/komtika.v5i1.5134

Peretas saat ini tidak hanya menyerang instansi pemerintah seperti pada tahun 2019 melainkan sudah melakukan serangan ke instansi pendidikan. Hal ini sesuai dengan pantauan dan identifikasi Badan Siber dan Sandi Negara bahwa instansi pendidikan telah diserang sebanyak 38% pada tahun 2020. Sebagai wujud tindakan preventif terkait dengan serangan siber pada instansi pendidikan perlu dilakukan sebuah tindakan analisis keamanan informasi terhadap sistem-sistem yang terpasang. Pada artikel ini diusulkan tahapan teknis melakukan analisis keamanan informasi menggunakan perangkat lunak dengan lisensi Free Open Source Software, yaitu Sudomy dan OWASP ZAP. Menggunakan kedua perangkat lunak tersebut didapatkan hasil analisis potensi-potensi celah keamanan pada sistem informasi yang terpasang pada Universitas Duta Bangsa.

Model Inspeksi Keamanan Jaringan Nirkabel Dengan Teknik Wardrving Berbasis ChatBot Purweni, Mei; Hariyadi, Dedy; Nastiti, Faulinda Ely; Fazlurrahman, Fazlurrahman
Jurnal Komtika (Komputasi dan Informatika) Vol 6 No 2 (2022)
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/komtika.v6i2.7943

Penggunaan perangkat jaringan nirkabel seperti Access Point perlu dianalisis untuk menghindari serangan intersep ataupun bypass oleh pelaku kejahatan. Kegiatan inspeksi keamanan jaringan nirkabel dalam inspeksi/operasi intelligen harus dilakukan secara rahasia, akurat dan cepat. Penelitian ini mengusulkan pengembangan aplikasi pengumpulan informasi dan pemetaan perangkat jaringan access point dalam operasi intelijen oleh petugas lapangan sebagai bahan rujukan dalam penyajian laporan saat proses penyidikan. Pengumpulan informasi pada penelitian ini dilakukan dengan pendekatan Signal Intelligence yang telah diselaraskan dengan model Signal Intelligence dan Intelligence Collection System. Penelitian ini telah menggunakan kedua cabang tersebut dikolaborasikan dengan komunikasi chatbot untuk mempermudah proses analisis petugas lapangan yang disertai dengan aktivitas menyaru data jaringan di tengah-tengah masyarakat.

Pengembangan Prototipe Token Transaksi Cryptocurrency SDSPay Berbasis Blockchain Ethereum Virgian Galang Sasongko; Faulinda Ely Nastiti; Sopingi Sopingi
Jurnal Teknik Informatika dan Teknologi Informasi Vol. 5 No. 2 (2025): Agustus: Jurnal Teknik Informatika dan Teknologi Informasi
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jutiti.v5i2.5665

The transformation of digital payment systems through blockchain technology has brought new challenges and opportunities in the development of secure, efficient, and decentralized crypto tokens. One emerging approach is the use of smart contract-based tokens, such as ERC-20 tokens running on the Ethereum network. This research proposes the design and implementation of the SDSPay (SDS) token as a prototype Ethereum-based ERC-20 token, with a modern smart contract approach to meet the needs of a more efficient and secure digital payment system. The SDS token adopts the basic ERC-20 standard but is equipped with advanced features that enhance functionality and security, such as role-based access control (RBAC) to regulate access and control over transactions, pauseable transactions to pause transactions if necessary, and compatibility with EIP-2612 permits that enable more efficient transaction authorization in terms of gas. These features are designed to improve the efficiency and security of transactions on blockchain networks, thus enabling the use of tokens in a more reliable digital payment system. The SDS token prototype was tested on the Sepolia Testnet using Remix IDE and MetaMask to develop and manage smart contracts. Additionally, a static security audit was conducted using Slither Analyzer to detect potential vulnerabilities. The test results showed that the SDS token was successfully deployed and performed well, with an average transaction time of 10–12 seconds and stable gas fees. The Slither audit also found no significant vulnerabilities, indicating that the smart contract structure adheres to security best practices. This study confirms that the development of standardized smart contract-based tokens can be carried out using an efficient, reliable, and replicable methodology for other applications in future blockchain-based payment systems. This implementation of the SDSPay (SDS) token can serve as a foundation for designing secure and efficient digital payment systems, paving the way for the broader development of blockchain technology.

Co-Authors Aghni Rizqi Ni'mal 'Abdu Aghni Rizqi Nimal Abdu Agung Wicaksono Agustina Srirahayu Al Ayyubi, Raihan Abdurrahim Anisatul Farida Aprilisa Arum Sari Ardian Pamungkas Ardiyanto, Marta Arif Wicaksono Septyanto Arya Kusumadewa Aziiz, Dear Whizkid Benaya Chessa Sarmanela Bondan Wahyu Pamekas Dedy Hariyadi Dwi Hartanti Eko Purwanto Erfanti Fatkhiyah Ety Meikhati Fauziah Fanny Fazlurrahman Bima Fazlurrahman Fazlurrahman Fazlurrahman Hadi, Muhammad Heri Gunawan Husniati Mafatihus Solehah Ilyas, Daffa Imam Riadi Indraswari, Elsa Fachrisa Irawan, Ridwan Dwi Jayawarsa, A.A. Ketut Khotimah, Agil Husnul Kusumawati, Novi Manase Rezata Purba Margaretha Evi Yuliana Marta Ardiyanto Maulindar, Joni Mei Purweni Mira Erlinawati Moh. Muhtarom, Moh. Muftiyanto, Taufiq Nur Muhammad Alwan Nurdin Muhammad Frasha Candra Perdana Muhammad Ikhsanudin, Muhammad Musa, Shahrulniza Nindya Dwi Anggana Nur Muftiyanto, R. Taufiq Nurdin, Muhammad Alwan Nurmalitasari Nurmalitasari Nurohman, Nurohman Oktaviani, Intan Permatasari, Hanifah Pipin Widyaningsih Pradana, Rico Yoga Prasetyo, Yoga Andrian Prita Haryani Prita Haryani Purweni, Mei Ramadhan, Navin Rifal Bayu Ardi Rina Arum Prastyanti Ringgo Ismoyo Buwono Riska Rosita Rudi Susanto Setyawan, Yanuar Anggit Singgih Purnomo Sopingi SRI SUMARLINDA Suryani, Fajar Tariq tino, Valen Toni Iksanudin Triana Triana Udhata Swardana, Avila Umar Choirul Hadi Uning Kristiana Utomo, Diva Reihan Ferdian Vihi Atina Virgian Galang Sasongko Vita Aryadi Vita Sofia Prihatini Wijaya, Muhammad Krisna Wijiyanto Wijiyanto, Wijiyanto Yafi, Eiad

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