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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) JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) bit-Tech ILKOMNIKA: Journal of Computer Science and Applied Informatics 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 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 Publikasi Sistem Informasi dan Manajemen Bisnis Jurnal Sistem Informasi dan Ilmu Komputer Jurnal Publikasi Teknik Informatika
Firza Prima Aditiawan
Department Of Informatics, Universitas Pembangunan Nasional “Veteran” Jawa Timur, Surabaya 60294, Indonesia
Aerospace Engineering Agriculture, Biological Sciences & Forestry Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Medicine & Pharmacology Physics Public Health Social Sciences Veterinary Other

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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.
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.
Klasifikasi Rating Film Berdasarkan Genre Menggunakan XGBoost dan LightGBM serta Analisis SHAP Roiqoh, Aprinia Salsabila; Parlika, Rizky; Aditiawan, Firza Prima
JURNAL FASILKOM Vol. 16 No. 1 (2026): Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer)
Publisher : Unversitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/jf.v16i1.11273

Abstract

Movie rating is often used as an indicator of film quality and audience satisfaction. With the large availability of movie data on online platforms, machine learning techniques can be used to analyze the relationship between film characteristics and rating patterns. One important attribute that can influence movie ratings is genre. This study aims to classify movie ratings based on genre using the XGBoost and LightGBM algorithms and to analyze the contribution of each genre using SHAP (SHapley Additive Explanations). Movie data were collected from The Movie Database (TMDB) API and processed through several preprocessing stages including genre separation, data cleaning, one-hot encoding, and rating categorization. The dataset was then divided into training and testing data with a ratio of 70:30. The classification results show that XGBoost achieved an accuracy of 0.53, slightly higher than LightGBM with an accuracy of 0.52. Further analysis using SHAP indicates that genres such as Horror, Drama, Action, and Comedy have the highest global importance in the classification model. Meanwhile, the analysis of high-rating class predictions shows that Drama has the largest contribution to predicting movies with high ratings. The findings indicate that movie genres have a measurable influence on rating classification, although the importance of genres in the machine learning model does not always align with their average rating values.
Prediksi Gangguan Kesehatan Mental pada Kalangan Mahasiswa Menggunakan Metode Pseudo-Labeling dan Algoritma Regresi Logistik Anggraini Puspita Sari; Dwi Arman Prasetya; Firza Prima Aditiawan; Muhammad Muharrom Al Haromainy
TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi Vol 4 No 2 (SEMNASTIK) (2024): TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akun
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/tamika.Vol4No2(SEMNASTIK).pp40-48

Abstract

Mental illness is a health condition that alters a person's thoughts, feelings, or behaviors, leading to distress and difficulty in maintaining a normal life. Mental health issues should not be taken lightly due to the challenges associated with diagnosis. Many students tend to experience mental health problems at various stages of their education, from diploma programs to doctoral studies. This situation becomes more critical as students approach the end of their studies and anticipate future prospects. This article explores the mental health status of students through symptoms, using logistic regression methods for prediction based on the dataset used. In this study, two types of data are employed: labeled dataset and unlabeled dataset, which are combined to create a semi-supervised learning approach. Labeled dataset is classified using a logistic regression algorithm, while unlabeled dataset employs the pseudo-labeling method. The analysis and modeling of the dataset indicate that the comparison between labeled and unlabeled dataset can significantly affect accuracy and processing time. Furthermore, the use of the pseudo-labeling method with the logistic regression algorithm is well-suited for the mental health case study, achieving an accuracy of 98% with a labeled to unlabeled dataset ratio of 1:2.
Sistem Pendukung Keputusan Perdagangan Cryptocurrency Menggunakan Pembobotan Kombinasi Indikator EMA, RSI, MACD, dan Bollinger Bands M. Zaky Pria Maulana; Rizky Parlika; Firza Prima Aditiawan
JOINS (Journal of Information System) Vol 11 No 1 (2026): Edisi (Desember 2025 - Mei 2026)
Publisher : Fakultas Ilmu Komputer, Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33633/joins.v11i1.15776

Abstract

Cryptocurrency trading has rapid and significant price changes that cause investors to make decisions based solely on intuition when buying assets, potentially leading to a risk of loss. Therefore, this research aims to develop a cryptocurrency trading decision support system (DSS) using a combination of technical indicators, namely EMA, RSI, MACD, and Bollinger Bands. The system is designed to assist users in making more objective trading decisions based on historical data. This study applies weighted indicator combinations ranging from 0 to 4, resulting in 625 weight combinations evaluated thru backtesting using ROI, Win Rate, and MDD metrics. Based on the test results, the weighted indicator combination outperformed single indicators by achieving an ROI increase of up to 2222.35% on the SOLUSDT asset. In addition, the approach improved signal accuracy, as shown by the increase in Win Rate on ETHUSDT from 35.21% to 47.28% and on SOLUSDT from 32.84% to 58.11%. Furthermore, the method was effective in mitigating risk, indicated by the reduction of MDD on ETHUSDT from 50.04% to 41.35%. The system was successfully implemented as a web-based application integrated with Telegram notifications to deliver analysis results to users.
Co-Authors Achmad Junaidi Adzanil Rachmadhi Putra 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 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 Eva Yulia Puspaningrum Faisal Ashari Fetty Tri Anggraeny Fidela Carissa Aramintha Firmansyah Firdaus Anhar Gusti Eka Yuliastuti Hakim, Albi Akhsanul Hamidah Hendrarini Hardianto, Eragradiansyah Henni Endah Wahanani Herdi Rofaldi Hidra Amnur I Gede Susrama Idhom, Mohammad Iriansah, Ogy Rachmad Ismiati, Suci Khairil Amin, Mohammad Kus Dwi Prastyo Lina Nurlaili, Afina M. Zaky Pria Maulana Made Hanindia Prami Swari Mafaza, Rima Muttaqina Mahanani, Anajeng Esri Edhi Maulana, Hendra Mubarokah Muhammad Eko Prasetyo Muhammad Helmi Satria Fedianto Muhammad Izdihar Alwin Muhammad Izdihar Alwin Muhammad Muharrom Al Haromainy Mustika Rizki, Agung Muttaqin, Faisal Muttaqin, Faisal Nanda Syarla Hariyanti Nugroho Gultom, Wahyu Nugroho Sihananto, Andreas Nur Aini Ersanti Nurlaili, Afina Lina Nurlaili, Afina Lina Parlika, Rizky Pradana Ariando, Aldo 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 Shabika Aqmarina, Azzuraa Shintyadhita Wirawan Putri Soedarto, Teguh Suprapto, Claudia Millennia Vita Via, Yisti Wahyu Syaifullah Jauharis Saputra Wardana, Nabila Sya’bani Wicaksa Putra Pribadi, Achareeya Widoretno, Astrini Aning Winata, Chycik Ayu Wirya Atmaja, Pratama Yunizar, Sri Fatmawati