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All Journal Sistemasi: Jurnal Sistem Informasi The IJICS (International Journal of Informatics and Computer Science) JOURNAL OF SCIENCE AND SOCIAL RESEARCH JSAI (Journal Scientific and Applied Informatics) Jurnal Teknologi Dan Sistem Informasi Bisnis Jurnal Tecnoscienza JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) KLIK: Kajian Ilmiah Informatika dan Komputer Journal of Computer Science and Informatics Engineering Surya Informatika Teknomatika: Jurnal Informatika dan Komputer Journal Of Software Engineering And Communication Jurnal Hukum Keluarga
Ismail, Abdul Rahman
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Journal : JOURNAL OF SCIENCE AND SOCIAL RESEARCH

 1 
PERBANDINGAN ALGORITMA LOGISTIC REGRESSION DAN NAÏVE BAYES CLASSIFIER DALAM IDENTIFIKASI PENYAKIT LIVER Handayani, Yuni; Hidayat, Taufik; Novitaningrum, Dian; Ismail, Abdul Rahman
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol 8, No 2 (2025): May 2025
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v8i2.2892

Abstract

Abstract: Liver disease is a condition caused by various factors that can damage liver function, such as viral infections and alcohol consumption. Additionally, obesity is closely associated with liver damage. Over time, liver damage can lead to serious consequences. The presence of experts in this field is crucial to addressing liver disease by identifying the symptoms experienced by patients, determining the type of liver disease affecting them, and providing appropriate treatment guidance. The severity of this disease in Indonesia is evident from various studies, research, and related observations. In this study, researchers utilized and compared two data mining classification methods, namely Logistic Regression and Naïve Bayes, to diagnose liver disease. The findings revealed that the Logistic Regression method achieved an accuracy rate of 84.62% with an area under the curve (AUC) value of 0.841, while the Naïve Bayes method achieved an accuracy rate of 83.71% with an AUC value of 0.816. Based on the t-test, it was found that there was no significant difference between the two methods, with a p-value of 0.821 > 0.05. This indicates that the performance of Logistic Regression is comparable to Naïve Bayes in diagnosing liver disease.Keyword: Liver Disease, Logistic Regression, Naïve Bayes, Confusion Matrix, ROC CurveAbstrak: Penyakit hati atau liver adalah kondisi yang disebabkan oleh berbagai faktor yang dapat merusak fungsi hati, seperti infeksi virus dan konsumsi alkohol. Selain itu, obesitas juga memiliki kaitan erat dengan kerusakan hati. Dalam jangka panjang, kerusakan hati dapat menimbulkan konsekuensi serius. Kehadiran ahli di bidang ini sangat diperlukan untuk membantu menangani masalah penyakit hati dengan mengidentifikasi gejala yang dialami pasien, menentukan jenis penyakit hati yang diderita, serta memberikan panduan penanganan yang sesuai. Skala permasalahan penyakit ini di Indonesia dapat diamati melalui berbagai studi, penelitian, dan pengamatan yang telah dilakukan. Dalam penelitian ini, peneliti menerapkan serta membandingkan dua metode klasifikasi data mining, yaitu Logistic Regression dan Naïve Bayes, untuk mendeteksi penyakit liver. Hasil penelitian menunjukkan bahwa Logistic Regression memiliki tingkat akurasi sebesar 84,62% dengan nilai area under the curve (AUC) sebesar 0,841, sementara Naïve Bayes mencapai akurasi 83,71% dengan AUC sebesar 0,816. Berdasarkan hasil uji-t, tidak ditemukan perbedaan signifikan antara kedua metode tersebut, dengan nilai p = 0,821 yang lebih besar dari 0,05. Ini menunjukkan bahwa performa Logistic Regression sebanding dengan Naïve Bayes dalam proses diagnosis penyakit liver.Kata kunci: Penyakit Liver, Logistic Regression, Naïve Bayes, Confusion Matrix, ROC Curve
SISTEM INFORMASI PENGELOLAAN KOPERASI BERBASIS WEBSITE Ismail, Abdul Rahman; Sidik, Zainudin
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol 8, No 2 (2025): May 2025
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v8i2.3038

Abstract

Abstract: This research aims to design and develop a web-based cooperative management information system that can simplify administrative processes, particularly in loan applications and installment payments. The system is built using the Agile method, which allows development to be carried out in stages and adapts flexibly to user needs. The main features developed include loan data management, payment recording, member data management, and the automatic presentation of financial reports. This system is designed to improve the efficiency of cooperative management and provide quick and transparent access to information for members. Testing is carried out using white-box and black-box methods to ensure that the system functions properly both in terms of internal logic and external appearance and functionality. The results of the testing show that all features work as expected and support the overall operations of the cooperative. This system is expected to be a practical and effective digital solution for cooperative management. Furthermore, this system can be further developed in line with the future growth needs of the cooperative. Keywords: Information System; Cooperative; Website. Abstrak: Penelitian ini bertujuan untuk merancang dan mengembangkan sistem informasi pengelolaan koperasi berbasis website yang dapat mempermudah proses administrasi, khususnya dalam pengajuan pinjaman dan pembayaran angsuran. Sistem ini dibangun dengan metode Agile, yang memungkinkan pengembangan dilakukan secara bertahap dan menyesuaikan kebutuhan pengguna secara fleksibel. Fitur utama yang dikembangkan meliputi pengelolaan data pinjaman, pencatatan pembayaran, manajemen data anggota, serta penyajian laporan keuangan secara otomatis. Sistem ini dirancang untuk meningkatkan efisiensi kerja pengurus koperasi dan memberikan kemudahan akses informasi kepada anggota secara cepat dan transparan. Pengujian dilakukan menggunakan metode whitebox dan blackbox untuk memastikan bahwa sistem berfungsi dengan baik dari sisi logika internal maupun tampilan dan fungsionalitas eksternal. Hasil pengujian menunjukkan bahwa seluruh fitur berjalan sesuai harapan dan mendukung proses kerja koperasi secara menyeluruh. Sistem ini diharapkan mampu menjadi solusi digital yang praktis dan efektif dalam pengelolaan koperasi. Selain itu, sistem ini dapat dikembangkan lebih lanjut sesuai dengan pertumbuhan kebutuhan koperasi di masa mendatang. Kata kunci: Sistem Informasi; Koperasi; Website. 
Co-Authors A Mulawati Mas Pratama Abdul Kholik Abdul Malik Buna Affandy Affandy Bahtiar Senung D. Paemo, Nuranissa Fikram Januardi Fikran Anwar Handayani, Yuni Harun, Rusni Ifriandi Labolo Manurapon, Reynaldi Novitaningrum, Dian Patue, Abdulatif Pratama, A Mulawati M Putro, Bagus Prindo Sugihartono Senung, Bahtiar Sidik, Guruh Fajar Taufik Hidayat Yuni Handayani Yunus, Yulanda Zainudin Sidik