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JOINCS (Journal of Informatics, Network, and Computer Science)
Published by Universitas Muhammadiyah Sidoarjo
ISSN : -     EISSN : 25415123     DOI : https://doi.org/10.21070/joincs
Core Subject : Science,
Computer Science & IT
JOINCS publishes original research papers in computer science and related subjects in system science, with consideration to the relevant mathematical theory. Applications or technical reports oriented papers may also be accepted and they are expected to contain deep analytic evaluation of the proposed solutions. JOINCS also welcomes research contributions on the traditional subjects such as : Theory of automata, algorithms and its complexity. But not limited to contemporary subjects such as: • Big Data • Internet of thing (IoT) • Parallel & distributed computing • Computer networks and its security • Neural networks • Computational learning theory • Database theory & practice • Computer modelling of complex systems • Decentralized Systems • Information Management in the Enterprise Context • Database related technical solutions for Information Quality • Information Quality in the context of Computer Science and Information Technology • Game Techology • Information System
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 7 Documents
 1 
Search results for , issue "Vol. 8 No. 1 (2025): April" : 7 Documents clear
Implementation Of Content-Based Filtering In Recommendation System For Sorting The Content Of Learning Materials In Islamic Financial Education Application Wulandari, Fitria Dewi
JOINCS (Journal of Informatics, Network, and Computer Science) Vol. 8 No. 1 (2025): April
Publisher : Universitas Muhammadiyah Sidoarjo

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

Abstract

Indonesia, home to the world's largest Muslim population, holds significant potential for developing a Sharia-based economy. However, the Sharia financial literacy index among Indonesian society remains low, standing at just 8.93% in 2019. This is attributed to a lack of financial management skills within the community. With rapid technological advancements, access to information, including Sharia finance, has become easier, yet it also brings about challenges in finding relevant information. To address this, a recommendation system needs to be established to offer guidance on Sharia financial matters. The application of content-based filtering, utilizing TF-IDF weighting and cosine similarity calculations, aids in providing suitable content recommendations. Upon successful implementation as a cloud web server, this system is seamlessly integrated into a mobile application. The article recommendation system achieves an average precision of 68%, recall of 100%, F1-score of 80%, and accuracy of 73%. Similarly, the video recommendation system attains a precision of 86%, recall of 100%, F1-score of 92%, and accuracy of 91%.
Pipa vs Landa: Game-Based Learning Based on Gamification in Elementary School Mathematics Learning Nendya, Matahari Bhakti; Kristianto, Tiar Dwi; Mahastama, Aditya Wikan
JOINCS (Journal of Informatics, Network, and Computer Science) Vol. 8 No. 1 (2025): April
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/joincs.v8i1.1639

Abstract

Learning is an essential component of human existence. One of the learning opportunities in the educational context is available at school, where instruction is typically delivered orally and accompanied by visuals. Using activities to learn is an option that can increase student interest in certain subjects. Game-based learning is a form of education in which students play a game to aid in their education. This study attempts to employ the Pipa vs. Landa learning game's gift and combo system so that elementary school students are more motivated to learn mathematics. The average GEQ Core Module test results are 4,6 for positive affect, 3,9 for competence, 4,59 for sensory and imaginative immersion, 2,46 for flow, 1,25 for tension, 2,36 for challenge, and 1,39 for negative effect. The average scores on the GEQ Post-Game Module test were 4.36 for positive experience, 1.64 for fatigue, 1.2 for negative experience, and 2.20 for the return to reality. This game provides a superior experience for elementary school students.
Rancang Bangun Game 3D Pembelajaran Nama, Jenis, dan Perkembangbiakan Hewan dan Tumbuhan: Design and Construction of a 3D Game for Learning Names, Types, and Reproduction of Animals and Plants kurmidi, shidqul ibnu zaim
JOINCS (Journal of Informatics, Network, and Computer Science) Vol. 8 No. 1 (2025): April
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/joincs.v8i1.1647

Abstract

Abstrak. Dalam pelajaran Biologi atau IPA di Sekolah Dasar, terdapat materi yang membahas tentang Hewan dan Tumbuhan, yang mencakup banyak gambar yang berkaitan dengan nama, jenis, dan perkembangan hewan dan tumbuhan. Materi seperti ini sering membuat siswa merasa bosan, sehingga mengurangi minat belajar mereka. Hasil wawancara awal dengan guru kelas IV di SDN Kutisari 1 menunjukkan kesulitan dalam mengajar topik-topik tersebut, yang menyebabkan kurangnya antusiasme siswa. Untuk mengatasi hal ini, sebuah permainan edukasi dirancang untuk meningkatkan minat dan pemahaman siswa. Penelitian ini bertujuan merancang game edukasi menggunakan Unity Engine dengan metode MDLC agar pembelajaran tentang hewan dan tumbuhan menjadi lebih menarik. Permainan yang selesai diharapkan dapat membantu siswa kelas IV memahami materi lebih efektif. Kata kunci: Laptop, Komputer Desktop, Hewan dan Tumbuhan, MDLC, Game, Unity3d
Development of a Web-Based Canteen Delivery Application Using QR-Code and SAW Method at Untag Surabaya: Pembuatan Aplikasi Pesan Antar dengan Penerapan QR-Code di Kantin Untag Surabaya Berbasis Web Menggunakan Metode Simple Additive Weighting Galang Kurniawan, Reza; Koesdijarto, Roenadi
JOINCS (Journal of Informatics, Network, and Computer Science) Vol. 8 No. 1 (2025): April
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/joincs.v8i1.1648

Abstract

The system developed is a web-based delivery application that uses QR-Codes to indicate the order location containing a link to the ordering website and the order's pickup point. This research aims to develop the application for the cafeteria at Universitas 17 Agustus 1945 Surabaya, recommending popular foods that are often bought utilizing the Simple Additive Weighting (SAW) approach based on parameters like price, taste, service, and portion size. The results show that the application functions according to specifications, with all features operating correctly and being responsive to user input. Testing with 30 respondents using the UMUX Lite method resulted in an average score of 80.497, indicating that the application falls within the acceptable category. This application is expected to be well-implemented in the Untag Surabaya cafeteria, providing convenience and efficiency in ordering and transactions, and contributing to the development of web and mobile-based information systems using the SAW method and QR-Code technology.
Website Design For Estimating Time And Cost Of Replating And Painting Ship Repair at PT.X: Desain Website Estimasi Waktu dan Biaya Pelapisan Ulang dan Pengecatan Perbaikan Kapal di PT.X HERDIANTI, WINDA; Betty, ariani; prasetyawati, dian; azafa, bima
JOINCS (Journal of Informatics, Network, and Computer Science) Vol. 8 No. 1 (2025): April
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/joincs.v8i1.1667

Abstract

PT. X has been experiencing problems in estimating time and cost data in the replating and painting process on ships. This obstacle is due to the fact that the surveyor owner has difficulty finding data manually which is piled up in the office. Therefore, the researcher designed a website to estimate the time and cost in the process of replating and painting the ship. In this website, the surveyor owner needs to fill the main dimension of the ship data and work. According to the work that has been done, with a comparison of the history of previous work stored on the website, it will speed up the estimation calculation process. The design of this website has been tested on PT. X and get the great result
Exploring the Integration of Artificial Intelligence and IoT in Smart Farming: A Systematic Review: Menjelajahi Integrasi Kecerdasan Buatan dengan IoT dalam Pertanian Cerdas: Tinjauan Sistematis Rosadi, Aswin; Hadi, Mokh Sholihul
JOINCS (Journal of Informatics, Network, and Computer Science) Vol. 8 No. 1 (2025): April
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/joincs.v8i1.1668

Abstract

Abstract – This study examines the integrationof artificial intelligence (AI) and the Internet ofThings (IoT) in smart farming through asystematic literature review. This researchfocuses on the application of AI, the AIoTarchitecture, the datasets used, and theproblems solved by this technology. The mainproblems faced are the complexity oftechnology integration and the limitations ofinfrastructure in implementation in the field.The purpose of the research is to provide acomprehensive understanding of theadvancements and challenges of AIoTtechnology in the agricultural sector. Themethod used follows the guidance ofKitchenham (2007) by reviewing the latestrelevant literature. The results show that AIoThas great potential in improving the efficiencyand sustainability of the agricultural sectorthrough efficient data management and datadrivendecision-making. However, the successof the implementation of this technology ishighly dependent on the availability of qualitydatasets and the adaptability of the technologyat scale. This research provides practicalrecommendations for the development andapplication of AIoT in various smartagriculture scenarios in the future.
Comparison of Data Mining Model Performance in Heart Disease Detection with Feature Selection Application: Perbandingan Kinerja Model Data Mining Dalam Deteksi Penyakit Jantung Dengan Penerapan Feature Selection Wahyudin, Widya Cholid; Sutikno, Tole; Umar, Rusydi; Ridwan, Ahmad
JOINCS (Journal of Informatics, Network, and Computer Science) Vol. 8 No. 1 (2025): April
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/joincs.v8i1.1669

Abstract

Penyakit jantung merupakan penyebab utama kematian di seluruh dunia, sehingga deteksi dini sangat penting untuk meningkatkan harapan hidup pasien. Dengan kemajuan teknologi data mining dan machine learning, prediksi penyakit jantung dapat dilakukan lebih akurat. Penelitian ini membandingkan kinerja prediksi model Logistic Regression, Decision Tree, Random Forest, K-Nearest Neighbors (KNN), dan Support Vector Machine (SVM) dalam mendeteksi penyakit jantung menggunakan UCI Heart Disease Dataset. Teknik feature selection—Filter Method, Wrapper Method (RFE), dan Embedded Method—diterapkan untuk meningkatkan akurasi prediksi dan mengurangi kompleksitas model. Hasil eksperimen menunjukkan bahwa SVM mencapai akurasi tertinggi sebesar 91,2%, diikuti Random Forest dengan 90,7%. Penggunaan feature selection terbukti meningkatkan kinerja model secara signifikan dengan mengurangi dimensi data dan menghindari overfitting. Temuan ini menunjukkan efektivitas SVM dan Random Forest dalam pengembangan sistem prediksi penyakit jantung yang efisien di lingkungan klinis. Kata kunci: Data Mining, Prediksi Penyakit Jantung, Feature Selection, Support Vector Machine

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