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Innotech
Published by Universitas Siber Indonesia
ISSN : -     EISSN : 30311640     DOI : -
Core Subject : Science,
Computer Science & IT
Innotech: Jurnal Ilmu Komputer, Sistem Informasi dan Teknologi Informasi adalah sebuah jurnal blind peer-review yang disediakan untuk publikasi hasil penelitian yang berkualitas di bidang Ilmu Komputer, Sistem Informasi dan Teknologi Informasi namun tak terbatas secara implisit. Semua publikasi di jurnal Innotech bersifat akses terbuka yang memungkinkan artikel tersedia secara bebas online tanpa berlangganan apapun. Innotech: Jurnal Ilmu Komputer, Sistem Informasi dan Teknologi Informasi adalah jurnal nasional serta bebas biaya dalam Proses Submisi.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 29 Documents
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KLASIFIKASI BERITA HOAX POLITIK PADA MEDIA SOSIAL X MENGGUNAKAN ALGORITMA NAÏVE BAYES DAN RANDOM FOREST Astuti, Rika; Tiarma Sipahutar, Angel
Innotech: Jurnal Ilmu Komputer, Sistem Informasi dan Teknologi Informasi Vol 2 No 1 (2025): Innotech Issue Januari 2025
Publisher : Universitas Siber Indonesia

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Abstract

Social media has become a major source of information as well as a fertile ground for the spread of hoax news, particularly political news. This study examines two classification algorithms, Naive Bayes and Random Forest, to detect hoax news. The data used consists of political news labelled as hoax or non-hoax. The results show that the Random Forest algorithm has better accuracy and performance compared to Naive Bayes in terms of precision, recall, and F1-score. In conclusion, Random Forest is more effective for classifying political hoax news on social media. This research provides important insights into the application of machine learning algorithms in text classification and emphasizes the importance of selecting the right algorithm for optimal results.
RANCANG BANGUN APLIKASI KENDARAAN MOBIL OPERASIONAL BERBASIS MOBILE MENGGUNAKAN METODE WATERFALL PADA PT PELABUHAN INDONESIA (PERSERO) Wardhani, Diky; Prialam , Abdi
Innotech: Jurnal Ilmu Komputer, Sistem Informasi dan Teknologi Informasi Vol 2 No 1 (2025): Innotech Issue Januari 2025
Publisher : Universitas Siber Indonesia

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Abstract

The operational vehicle car booking application process is identified as an activity carried out by the operational support section of HR services. In this study, several problems were found, including the use of paper documents in the ordering process, manual collection of documents, and collection of fuel and E-Toll proof after ordering which still uses paper. This condition causes difficulties in maintaining the integrity of documentation, especially if paper documents are damaged or lost. The main objective of this research is to develop an information system that can increase effectiveness in supporting operational vehicle car booking activities and improve the accuracy and reliability of documentation. This operational vehicle car booking system will be developed using the Flutter programming language for mobile applications and MySQL as a database. The information system development used is the waterfall method. In addition, testing of operational vehicle car booking information systems uses the blackbox testing method. After all stages of the research were completed, positive test results were obtained which showed that all the functionality tested in the operational vehicle car booking application successfully met the expected results. Therefore, this application can be declared to function properly according to the needs with the specifications given.
PREDIKSI REAL OR FAKE JOB POSTING MENGGUNAKAN METODE LONG SHORT-TERM MEMORY herwanto; Budiyansyah, Disky Phiter
Innotech: Jurnal Ilmu Komputer, Sistem Informasi dan Teknologi Informasi Vol 2 No 1 (2025): Innotech Issue Januari 2025
Publisher : Universitas Siber Indonesia

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Abstract

Nowadays, advances in information technology have made a significant impact, including online job searches. However, the emergence of fake job advertisements poses a serious threat to job seekers, causing the risk of financial loss and misuse of personal data. This research aims to develop a Long Short-Term Memory (LSTM)-based prediction model to distinguish between real and fake job advertisements automatically and accurately. The dataset used is “Real or Fake Job Posting Prediction” from the Kaggle website, which contains job posting data. The research process includes data cleaning, Natural Language Processing (NLP) techniques such as tokenization and lemmatization, and model training using the TensorFlow framework. The resulting model achieved 97.61% accuracy and 0.08% loss rate, showing good performance in identifying patterns in complex text data. The results of this research are expected to help the community, especially job seekers to reduce the risk of job vacancy fraud.
Prediksi Pertumbuhan Jumlah UMKM di Jawa Barat Menuju Indonesia Emas 2045 Menggunakan Regresi Linear Issa Wirakusumah, Raden Mochamad; Hesananda, Rizki
Innotech: Jurnal Ilmu Komputer, Sistem Informasi dan Teknologi Informasi Vol 2 No 1 (2025): Innotech Issue Januari 2025
Publisher : Universitas Siber Indonesia

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Abstract

This research delves into the projection of the number of Micro, Small, and Medium Enterprises (MSMEs) in West Java, employing the methodology of linear regression. The study utilizes open data from West Java to analyze factors influencing MSME growth, such as government support, infrastructure, financial access, and demographic characteristics. The regression model is formulated, trained, and optimized to project MSME growth up to the year 2045, aligning with the vision of Indonesia Emas. The results reveal a significant upward trend in MSME numbers, particularly evident in regions like Bogor, under the auspices of West Java. The collaborative efforts of provincial and local governments, supported by effective policies, contribute to the optimistic projections. The study's findings underscore the pivotal role of sustained collaboration and adaptive policies in fostering a conducive environment for MSMEs. As Indonesia strives for economic growth and inclusivity, understanding the dynamics of MSMEs becomes instrumental. This research aims to guide policymakers in formulating strategic interventions for the sustainable development of MSMEs, ensuring their central role in the realization of Indonesia Emas by 2045.
Dampak AI Terhadap Metode Pembelajaran Bahasa Yang Adaptif Dan Personal Shira Alegra, Ghaitsa
Innotech: Jurnal Ilmu Komputer, Sistem Informasi dan Teknologi Informasi Vol 2 No 2 (2025): Innotech Issue Juli 2025
Publisher : Universitas Siber Indonesia

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Abstract

The development of artificial intelligence (AI) technology has had a significant impact on more adaptive and personalized language learning methods. This research can aim to analyze the effectiveness of AI in enhancing the language learning experience, using a quantitative approach through a questionnaire survey of 116 respondents from various educational levels. The results of this study have shown that AI is able to customize learning materials based on individual abilities, provide instant feedback, and create an interactive and fun learning experience through features such as chatbots, voice recognition, and gamification. The majority of the respondents were from the 18-24 age group with a Bachelor's degree, indicating that the younger generation is utilizing this technology more. AI can be proven to increase students' learning motivation, effectiveness, and confidence in learning various foreign languages. As such, AI offers a more personalized and flexible approach to learning compared to traditional methods, while opening up new opportunities in the technology-based education sector.
MAMACARE: Aplikasi Mobile Pendukung Ibu Hamil dan Ibu Baru Berbasis Komunitas dan Layanan Kesehatan Digital Sitorus, Michael; Aini Melati, Zuhda; Hasanah, Zahra Nisatul; Anggun Herdilanggiva, Nabila
Innotech: Jurnal Ilmu Komputer, Sistem Informasi dan Teknologi Informasi Vol 2 No 2 (2025): Innotech Issue Juli 2025
Publisher : Universitas Siber Indonesia

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Abstract

Maternal and newborn health is a critical factor in improving human resource quality in Indonesia, yet maternal and infant mortality rates remain significant challenges. Limitations in access to information, healthcare services, and social support affect the well-being of mothers during pregnancy and postpartum. MamaCare is a community-based mobile application integrating health education, online medical consultation, and community forums into a single platform. This application is designed to provide comprehensive support, enhance health literacy, and strengthen social networks for pregnant women and new mothers. Therefore, MamaCare is expected to contribute to reducing maternal and infant mortality rates and improving maternal and child healthcare quality in the digital era. This paper discusses the background, objectives, main features, and advantages of MamaCare as an innovative support solution for pregnant and new mothers.
Perancangan Business Intelligence Dashboard Sales Performance Sunendar, Nendi
Innotech: Jurnal Ilmu Komputer, Sistem Informasi dan Teknologi Informasi Vol 2 No 2 (2025): Innotech Issue Juli 2025
Publisher : Universitas Siber Indonesia

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Abstract

Businesses need accurate and timely information, especially when it comes to salesman training to address concerns about keputusan, especially for manual management systems, risks associated with data input, and difficulties in conducting thorough analysis of sales to create less-than-ideal strategic plans. Because of this, the goal of the research is to develop and refine a data-based dashboard that can provide information in a clear and understandable manner. This dashboard is built using methodologies that include system analysis, data warehouse design, ETL (Extract, Transform, Load), and system design using ASP.NET and Microsoft SQL Server. The ETL process is crucial for ensuring that data integration, extraction, and transformation occur so that operational data is stored in an understandable manner and dashboards that are developed can show the progress of work.
Penerapan Metode Trend Moment untuk Prediksi Penjualan Kebab : Penerapan Metode Trend Moment untuk Prediksi Penjualan Kebab: Studi Kasus Kebab Turki Zahara FEBRIANI, WIDYA
Innotech: Jurnal Ilmu Komputer, Sistem Informasi dan Teknologi Informasi Vol 2 No 2 (2025): Innotech Issue Juli 2025
Publisher : Universitas Siber Indonesia

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Abstract

The food business presents a significant profit potential due to high public interest in food. Food business owners aim to maximize profits and survive competition, one way being through product sales forecasting. Sales prediction is crucial for optimizing profits and minimizing losses from the accumulation of raw material inventory. This research aims to predict the sales volume of Kebab Turki Zahara for the upcoming month using the Trend Moment Method. The test results indicate that this method is optimal for sales prediction, thereby helping to optimize sales and the management of kebab raw material stock.
Perancangan Aplikasi DONORIN Untuk Mendukung Koordinasi Donor Darah Menggunakan Human Centered Design (HCD): UI/UX Optimization on Mobile-Based Blood Donor Application zahirah, zalfa dhia; Fadhillah, Marshela Hasna; Mawarni, Sri Endah; Sitorus, Michael
Innotech: Jurnal Ilmu Komputer, Sistem Informasi dan Teknologi Informasi Vol 2 No 2 (2025): Innotech Issue Juli 2025
Publisher : Universitas Siber Indonesia

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Abstract

Kesulitan proses Donor Darah jadi masalah awal untuk menemukan pendonor darah. Penelitian ini bertujuan untuk merancang dan mengembangkan sistem aplikasi berbasis mobile yang mengintegrasikan fitur-fitur utama seperti pencarian donor berdasarkan golongan darah dan lokasi terdekat, komunikasi langsung melalui fitur chat, penjadwalan donor darah, dan verifikasi data pengguna. Aplikasi ini dikembangkan menggunakan metode pengembangan perangkat lunak dengan model prototyping. Aplikasi ini dibangun secara bertahap, dimulai dari desain antarmuka, dilanjutkan dengan integrasi fitur, dan diuji untuk memastikan semua fungsi bekerja dengan baik. Hasil implementasi Human Centered Design (HCD) menunjukkan bahwa Aplikasi DONORIN dapat membantu fasilitas kesehatan dalam mencari donor dengan cepat, menyederhanakan komunikasi dua arah, dan meningkatkan partisipasi masyarakat dalam kegiatan donor darah secara terorganisasi dan efisien.

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