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All Journal Syntax Jurnal Informatika Scan : Jurnal Teknologi Informasi dan Komunikasi Proceeding International Conference on Information Technology and Business Jurnal Informatika dan Teknik Elektro Terapan Journal of Information System JOIV : International Journal on Informatics Visualization INTEGER: Journal of Information Technology Jurnal Penelitian Pendidikan IPA (JPPIPA) JPP IPTEK (Jurnal Pengabdian dan Penerapan IPTEK) bit-Tech JATI (Jurnal Mahasiswa Teknik Informatika) CICES (Cyberpreneurship Innovative and Creative Exact and Social Science) Jifosi Jurnal Pengabdian kepada Masyarakat Nusantara Nusantara Science and Technology Proceedings Jurnal Teknik Informatika (JUTIF) Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) SINTA Journal (Science, Technology, and Agricultural) East Asian Journal of Multidisciplinary Research (EAJMR) Jurnal Teknologi dan Manajemen Industri Terapan Jurnal Teknik Informatika dan Teknologi Informasi J-Icon : Jurnal Komputer dan Informatika TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi Inspiration: Jurnal Teknologi Informasi dan Komunikasi Jurnal Sistem Informasi dan Ilmu Komputer Jurnal Elektronika dan Teknik Informatika Terapan Jurnal Informatika Polinema (JIP) VISA: Journal of Vision and Ideas Jupiter: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika Merkurius: Jurnal Riset Sistem Informasi dan Teknik Informatika Jurnal Teknik Informatika dan Teknologi Informasi Jurnal Sistem Informasi dan Ilmu Komputer
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Logistic Regression Classification with TF-IDF and FastText for Sentiment Analysis of LinkedIn Reviews Wardana, Nabila Sya’bani; Aditiawan, Firza Prima; Sari, Anggraini Puspita
VISA: Journal of Vision and Ideas Vol. 4 No. 3 (2024): VISA: Journal of Vision and Ideas
Publisher : IAI Nasional Laa Roiba Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47467/visa.v4i3.2835

Abstract

Social media and professional networking platforms like LinkedIn have become crucial platforms for individuals to interact, share information, and build professional networks. Despite the significant benefits LinkedIn has provided to its users, there are still some limitations such as account restriction ambiguity, synchronization issues, and the emergence of spam and irrelevant content. Therefore, it is important to understand users' responses to the application. Previous research has shown that sentiment analysis can be an effective tool in understanding user reviews of applications. This study will continue previous research by analyzing the sentiment of user reviews of the LinkedIn application using the Logistic Regression method, taking into account the use of TF-IDF Feature Extraction and FastText Feature Expansion. Logistic Regression was chosen because it is effective in handling binary sentiment classification problems and has relatively high training speed. This method will be tested to address data imbalance and improve classification performance. This research demonstrates that this approach can provide optimal results in measuring accuracy, recall, precision, and F-Score. The research findings will provide valuable insights for LinkedIn application developers to enhance service quality. Based on the evaluation metrics, it can be observed that the first testing scheme with default parameters achieved an accuracy of 91.86%, a precision of 94.05%, a recall of 91.99%, and an F1-Score of 93.01%. The percentage values obtained already surpass 90%.
PERANCANGAN SISTEM KLINIK KESEHATAN DAN INVENTORI OBAT DI KLINIK KESEHATAN GRATIS AL-MUHAJIRIN Winata, Chycik Ayu; Mumpuni, Retno; Aditiawan, Firza Prima
Jurnal Informatika dan Teknik Elektro Terapan Vol. 12 No. 3S1 (2024)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v12i3S1.5242

Abstract

Penelitian ini bertujuan untuk merancang dan mengembangkan sistem klinik kesehatan dan inventori obat di Klinik Kesehatan Gratis Al-Muhajirin. Sistem ini dirancang untuk meningkatkan efisiensi operasional klinik dengan memudahkan pengelolaan data pasien, kunjungan, dan stok obat. Menggunakan pendekatan Model-View-Controller (MVC), sistem ini diimplementasikan dengan fitur utama yang meliputi manajemen data pasien, pencatatan kunjungan, dan pengelolaan inventori obat. Uji coba sistem menunjukkan bahwa penerapan sistem ini dapat mengurangi kesalahan pengelolaan data dan meningkatkan efisiensi klinik secara keseluruhan. Hasil penelitian ini penting karena memberikan solusi praktis bagi klinik yang memiliki keterbatasan sumber daya dalam pengelolaan operasional harian.
Implementation of Web-Based Regional Innovation Selection Process Automation: A Case Study of Pasuruan Regency Firza Prima Aditiawan; Agung Mustika Rizki; Eva Yulia Puspaningrum
SINTA Journal (Science, Technology, and Agricultural) Vol. 6 No. 2 (2025)
Publisher : Perkumpulan Dosen Muda (PDM) Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37638/sinta.6.2.373-386

Abstract

Digital transformation in the regional innovation selection process is key to improving transparency, efficiency, and accountability. To encourage an innovation ecosystem in Pasuruan Regency, Bappelitbangda held the Pasuruan Maslahat Technology Innovation Competition with three categories: (1) Regional Innovation (governance/public services), (2) Technological and Non-Technological Innovation, and (3) Learning Innovation. The main challenges of the competition are the high volume of proposals, process traceability, and consistency of assessment. This article presents the design and implementation of the Maslahat Innovation and Technology Selection Website system to automate the end-to-end flow: registration, proposal upload, administrative verification, multi-reviewer assessment, weighted score aggregation, nomination determination, and publication of results. The three-layer web-based architecture is designed with role control (admin, secretariat, reviewer, participant, public), audit trail, and proportional information disclosure policy. The assessment method uses Simple Additive Weighting (SAW) with min–max normalization and weighting per category. The expected outcome is improved operational efficiency, accountability, and transparency of the selection process so that the sustainability of the competition can be ensured.
Aplikasi Layanan Jasa Tukang Berbasis Website Alwin, Muhammad Izdihar; Aditiawan, Firza Prima
INTEGER: Journal of Information Technology Vol 7, No 2 (2022): September
Publisher : Fakultas Teknologi Informasi Institut Teknologi Adhi Tama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/j.integer.2022.v7i2.3298

Abstract

Masyarakat Indonesia memiliki beragam profesi pekerjaan seperti tukang. Tukang merupakan profesi yang membutuhkan suatu keahilian khusus seperti sistem perpipaan sampai dengan membangun sebuah bangunan. Seiring berkembangnya teknologi yang semakin pesat membuat aktifitas masyarakat semakin mudah dan ringkas. Namun mayarakat masih banyak kesulitan untuk mencari jasa tukang, karena keterbatasan area atau jarak dan juga minimnya informasi mengenai penyedia jasa tukang. Minimnya informasi mengenai harga jasa tukang dan kinerja jasa tukang membuat masyarakat cenderung merasa harga jasa tukang relatif mahal. Aplikasi Layanan Jasa Tukang Berbasis Website yang kami beri nama Si Tukang ini akan memudahkan masyarakat untuk menemukan jasa tukang yang diinginkan, dengan aplikasi ini dapat mempertemukan para pekerja dan masyarakat yang membutuhkan jasa tersebut, memberikan kisaran harga jasa tukang, dan memberikan ulasan.
Pengembangan Gim Serius Untuk Pengenalan Jamu Menggunakan Metodologi Putaran Permainan Dimas Putra Andaru; Pratama Wirya Atmaja; Firza Prima Aditiawan
Jurnal Teknik Informatika dan Teknologi Informasi Vol. 4 No. 1 (2024): April: 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.v4i1.3415

Abstract

Jamu is a traditional herbal beverage that represents a cultural heritage with various health benefits. Despite this, adolescents tend to turn to chemical medications. This research proposes the development of an educational and engaging serious game to introduce jamu to the adolescent age group. The gameplay loop methodology is employed to ensure optimal connectivity between the game system and jamu educational content. The game design has been successfully implemented in the development of the game using the Unity game engine, resulting in an educational game based on significance testing and GUESS validation. The game is also deemed engaging based on the correlation test results. The Gameplay Loop method successfully maintains the connectivity between educational content and the game system, indicating that the game effectively imparts understanding of jamu to its players.
Modeling Technology Acceptance for Agribusiness Education and Practices in East Java Firza Prima Aditiawan; Akhmad Fauzi; Mubarokah; I Gede Susrama
Jurnal Penelitian Pendidikan IPA Vol 11 No 9 (2025): September
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v11i9.12511

Abstract

This study develops and validates a model for understanding technology acceptance and use in the agribusiness sector of East Java, Indonesia, using the Unified Theory of Acceptance and Use of Technology (UTAUT) as the foundation. The research analyzed Performance Expectancy, Effort Expectancy, Social Influence, Facilitating Conditions, Behavioral Intention, Use Behavior, Techno Skepticism, and Local Wisdom with data from 207 farmers in Pasuruan Regency, applying PLS-SEM. Results showed that Performance Expectancy and Effort Expectancy were the strongest predictors of Behavioral Intention, while Local Wisdom significantly moderated the relationship between intention and use. Techno Skepticism had a negative effect on intention. The extended UTAUT model thus provides a context-specific framework for agribusiness in developing countries. These findings offer practical implications for education, training, and agricultural policy by aligning digital innovation with local socio-cultural realities.
Implementasi Komunikasi Real-Time Berbasis WebSocket pada Sistem Quickshifter Dual-Mikrokontroler Erlangga Putra Ramadhan; Mohammad Idhom; Firza Prima Aditiawan
Jurnal Teknologi dan Manajemen Industri Terapan Vol. 5 No. 1 (2026): Jurnal Teknologi dan Manajemen Industri Terapan
Publisher : Yayasan Inovasi Kemajuan Intelektual

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55826/jtmit.v5i1.1631

Abstract

Penelitian ini mengimplementasikan komunikasi real-time berbasis WebSocket pada sistem quickshifter sepeda motor dengan arsitektur dual-mikrokontroler. Arduino Nano digunakan untuk menangani proses inti quickshifter, meliputi pembacaan sensor CKP, perhitungan RPM, serta pengendalian pemutusan pengapian, sementara ESP32-C3 berfungsi sebagai gateway komunikasi nirkabel melalui Wi-Fi dan WebSocket. Kedua mikrokontroler berkomunikasi menggunakan UART dengan baudrate 115200. Evaluasi kinerja difokuskan pada parameter latensi, jitter, packet loss, serta kepraktisan penggunaan, dengan USB Serial sebagai pembanding. Hasil pengujian menunjukkan bahwa WebSocket memiliki latensi rata-rata 19,81 ms dan jitter 1,79 ms tanpa packet loss, sedikit lebih tinggi dibandingkan USB Serial namun masih dalam batas toleransi untuk aplikasi real-time. Selain itu, sistem mampu melakukan penyetelan dan pemantauan RPM secara responsif serta stabil. Implementasi ini membuktikan bahwa protokol WebSocket pada arsitektur dual-mikrokontroler mampu menyeimbangkan kebutuhan performa real-time dan fleksibilitas koneksi nirkabel pada sistem quickshifter.
Pembuatan Aplikasi Computer Based Test Berbasis Website Menggunakan Algoritma Fisher-Yates Shuffle: Studi Kasus: MTs Faqih Hasyim Sidoarjo Raviy Bayu Setiaji; Firza Prima Aditiawan; Agung Mustika Rizki
Jurnal Sistem Informasi dan Ilmu Komputer Vol. 2 No. 1 (2024): Februari : Jurnal Sistem Informasi dan Ilmu Komputer
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59581/jusiik-widyakarya.v2i1.2417

Abstract

This research focuses on the development of a web-based Computer Based Test (CBT) Application for Madrasah Tsanawiyah (MTs) Faqih Hasyim in Sidoarjo, East Java. This application aims to overcome conventional evaluation problems with paper and pen, such as cheating, scoring errors, and data management difficulties. Using web technologies such as HTML, CSS, PHP, and JavaScript, the application integrates the Fisher-Yates Shuffle algorithm to randomize the order of questions, reducing the possibility of cheating during the exam. Equipped with session tokens, exam timing, and result reports, the app improves the overall efficiency of the evaluation process. This study refers to previous research and highlights the importance of adopting technology to simplify assessment and facilitate online data management. The Fisher-Yates Shuffle algorithm, used to generate a unique sequence of questions for each student during the exam, minimizes the risk of cheating. The app implements a staged exam, ensuring students who meet the minimum criteria proceed to the next stage. In addition, the app achieves a degree of randomization of the exam content, eliminating patterns that may affect the exam results. The feasibility testing results show that the app is highly feasible, with a feasibility percentage of 92.4%. This conclusion signifies the app's success in achieving its development goals and making a positive contribution in easing the exam grading process. It is recommended to simplify the interface for senior users, improve the responsiveness of the website display for mobile access, and add a time limitation method in future research. Keywords: Fisher-Yates Shuffle Algorithm, Computer Base Test, Question Randomization.
Design and Implementation of Digital Medical Record System Using the Boyer–Moore Algorithm Fidela Carissa Aramintha; Afina Lina Nurlaili; Firza Prima Aditiawan
bit-Tech Vol. 8 No. 2 (2025): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i2.2959

Abstract

Praktik Mandiri Bidan (PMB) Siti Nur Aini, A.Md.Keb., a primary healthcare facility specializing in maternal and child health, continues to rely on manual, paper-based medical records. This practice causes slow data retrieval, high risk of data loss, and storage limitations. To address these issues, this study developed BIDIG (Bidan Medis Digital), a web-based medical record system integrating the Boyer–Moore string matching algorithm to accelerate and enhance the accuracy of patient record searches. The Boyer–Moore algorithm was selected for its proven efficiency in pattern matching, enabling larger shift steps during mismatches and outperforming other methods such as Rabin–Karp, Brute Force, and Knuth–Morris–Pratt in prior research. BIDIG was implemented using the Laravel framework and MySQL database, with features for patient registration, medical record management, and reporting. Usability testing with the System Usability Scale (SUS) involved 10 respondents and achieved an average score of 87.25 (category: Acceptable, grade B, adjective rating: Excellent). Comparative performance evaluation using a Confusion Matrix on 160 records yielded accuracy of 0.9977, precision of 0.9318, and recall of 1.00, confirming near-perfect retrieval capability with minimal false positives. These results demonstrate that integrating an efficient search algorithm with an intuitive interface can substantially improve service quality and operational efficiency in small-scale healthcare facilities. The findings underscore the potential of algorithm-driven digitalization to overcome resource constraints, reduce errors, and accelerate access to critical health information offering a scalable model for broader adoption in similar clinical settings.
Expert System Implementation Using Certainty Factor Method for Early Pregnancy Disease Detection Hariyanti, Nanda Syarla; Nurlaili, Afina Lina; Aditiawan, Firza Prima
bit-Tech Vol. 8 No. 3 (2026): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i3.3366

Abstract

Pregnancy requires continuous and accurate monitoring to prevent complications that may endanger both the mother and the fetus. Data from the 2024 Maternal Perinatal Death Notification (MPDN) system recorded an increase in maternal mortality, largely driven by delays in early diagnosis and late referral to appropriate healthcare facilities. These conditions highlight the need for decision-support technologies capable of providing timely and consistent early risk detection. This study develops HerBump, a web-based expert system designed to support the early identification of common pregnancy-related diseases by integrating the Certainty Factor (CF) method with expert medical knowledge. The novelty of this work lies in the use of CF to represent the degree of confidence from both experts and users, which helps improve diagnostic accuracy compared with conventional rule-based systems, especially in cases where symptoms are overlapping, incomplete, or vary between individuals. Evaluation results show that HerBump can generate early diagnostic outputs accurately and efficiently, supported by a System Usability Scale (SUS) score of 98.3 (Excellent) and Blackbox Testing that confirms all features function correctly across different scenarios. More broadly, the system has meaningful implications for maternal health, as it can support earlier interventions, enhance the consistency of risk assessments, and potentially help reduce maternal and infant mortality through faster and more reliable early detection. Its simple and scalable design also enables potential use in resource-limited areas, including regions with shortages of healthcare workers, with future development opportunities through expanded disease coverage and more diverse datasets to strengthen diagnostic reliability.
Co-Authors Achmad Junaidi Adzanil Rachmadhi Putra Afina Lina Nurlaili Agil Sakinah, Fenti Agung Mustika Rizki Agung Mustika Rizki, Agung Mustika Akbar, Fawwaz Ali Akhmad Fauzi Al Fathoni, Hanif Alit, Ronggo Alwin, Muhammad Izdihar Andreas Nugroho Sihananto Anggraini Puspita Sari Anggriawan, Teddy Prima Aniisah Eka Rahmawati Ardilla, Aufa ASHARI, FAISAL Boy Diego Lumwartono Davila Erdianita Dimas Putra Andaru Dimas Putra Andaru Dwi Arman Prasetya Dwi Arman Prasetya Dwi Rahma Putri, Septiani Eka Prakarsa Mandyartha Eka Zuni Selviana EKO WAHYUDI Eriyansyah Yusuf Suwandana Erlangga Putra Ramadhan Eva Yulia Puspaningrum Fetty Tri Anggraeny Fidela Carissa Aramintha Firmansyah Firdaus Anhar Gusti Eka Yuliastuti Hamidah Hendrarini Hardianto, Eragradiansyah Hariyanti, Nanda Syarla Henni Endah Wahanani Herdi Rofaldi Hidra Amnur I Gede Susrama Idhom, Mohammad Iriansah, Ogy Rachmad Ismiati, Suci Khairil Amin, Mohammad Lina Nurlaili, Afina M. Zaky Pria Maulana Made Hanindia Prami Swari Mafaza, Rima Muttaqina Mahanani, Anajeng Esri Edhi Maulana, Hendra Mohammad Idhom Mubarokah Muhammad Eko Prasetyo Muhammad Izdihar Alwin Muhammad Izdihar Alwin Muhammad Muharrom Al Haromainy Mustika Rizki, Agung Muttaqin, Faisal Muttaqin, Faisal Nugroho Gultom, Wahyu Nugroho Sihananto, Andreas Nur Aini Ersanti Nurlaili, Afina Lina Parlika, Rizky Pradana Ariando, Aldo Prastyo, Kus Dwi Pratama Wirya Atmaja Pratama Wirya Atmaja Puspaningrum, Eva Y Rahmawati, Aniisah Eka Raviy Bayu Setiaji Retno Mumpuni Rizki, Agung Mustika Rizky Amelia Rizqulloh Zain, Muhammad Dhiya'ulhaq Roiqoh, Aprinia Salsabila Samdono, Arif Saputra, Wahyu Syaifullah Jauharis Shabika Aqmarina, Azzuraa Soedarto, Teguh Suprapto, Claudia Millennia Vita Via, Yisti Wardana, Nabila Sya’bani Wicaksa Putra Pribadi, Achareeya Widoretno, Astrini Aning Winata, Chycik Ayu Wirya Atmaja, Pratama Yunizar, Sri Fatmawati