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All Journal Journal of Information Systems and Informatics Jurnal Abdimas Mandiri Jurnal Nasional Komputasi dan Teknologi Informasi
M Fadhiel Alie
Universitas Indo Global Mandiri
Computer Science & IT Education Social Sciences

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RANCANG BANGUN DAN SOSIALISASI SISTEM PENGELOLAAN ARSIP SURAT BERBASIS WEB PADA SMA NEGERI 12 PALEMBANG Lastri Widya Astuti; Siti Muyaroah; Leriza Desithama; M Fadhiel Alie
Jurnal Abdimas Mandiri Vol 4, No 2
Publisher : UNIVERSITAS INDO GLOBAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36982/jam.v4i2.1273

Abstract

Pengarsipan surat di Sekolah Menengah Atas (SMA) Negeri 12 Palembang masih menggunakan cara konvesional dalam mengelola sistem pengarsipan surat. Kendala yang sering dijumpai adalah sulitnya mencari file surat, baik surat masuk maupun surat keluar. Proses pencarian surat pada arsip memakan cukup banyak waktu terlebih lagi nama file surat  tidak selalu bisa di ingat. Penggunaan aplikasi bantu diharapkan dapat membantu dan memecahkan masalah yang dihadapi oleh pihak sekolah. Rancang bangun sistem pengelolaan surat berbentuk aplikasi pengarsipan surat berbasis website di Sekolah Menengah Atas (SMA) Negeri 12 Palembang diharapkan dapat membantu pekerjaan staf tata usaha dalam mengelolah surat-surat agar menjadi lebih terpelihara dengan teratur, baik, aman dan efisien serta surat tersebut dapat ditemukan dengan cepat dan juga akurat.Kata kunci : arsip, surat, website, aplikasi, pencarian
Analisis Kepuasan Pengguna Aplikasi Merdeka Mengajar di Kabupaten Muara Enim dengan Menggunakan Metode System Usability Scale Cindy Destyana Putri; Evi Yulianti; M Fadhiel Alie
Jurnal Nasional Komputasi dan Teknologi Informasi Vol. 9 No. 2 (2026): April, 2026
Publisher : Program Studi Teknik Komputer, Fakultas Teknik. Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/wsswsr75

Abstract

Abstrak - Penggunaan teknologi dalam pendidikan, seperti aplikasi Merdeka Mengajar, menjadi bagian penting dalam mendukung kegiatan belajar mengajar. Namun, implementasinya tidak terlepas dari tantangan, seperti kesulitan penginputan data, pengoperasian aplikasi, serta keterbatasan infrastruktur teknologi di sekolah. Para guru di Kabupaten Muara Enim menghadapi permasalahan serupa, sehingga penting untuk mengevaluasi tingkat kepuasan pengguna guna mengoptimalkan pemanfaatan aplikasi ini. Penelitian ini menggunakan metode System Usability Scale (SUS) untuk mengukur tingkat kepuasan pengguna terhadap aplikasi Merdeka Mengajar. Data dikumpulkan melalui kuesioner berbasis Google Form, observasi langsung, dan studi pustaka. Teknik pengambilan sampel yang digunakan adalah sampel jenuh, di mana seluruh guru di Kabupaten Muara Enim dijadikan responden penelitian. Penelitian ini bertujuan untuk mendapatkan gambaran tingkat usabilitas aplikasi Merdeka Mengajar, mengidentifikasi kendala yang dihadapi pengguna, dan memberikan rekomendasi untuk perbaikan aplikasi. Hasil skor yang diperoleh adalah 81,19 yang di mana hasil tersebut kategori baik. Hasil yang diharapkan adalah masukan berharga bagi pengembang aplikasi dan pihak sekolah dalam meningkatkan efektivitas penggunaan aplikasi untuk mendukung proses. Kata Kunci: Analisis; Merdeka Mengajar; System Usability Scale; Abstract - The use of technology in education, such as the Merdeka Mengajar application, is an important part of supporting teaching and learning activities. However, its implementation is not without challenges, such as difficulties in data input, application operation, and limited technological infrastructure in schools. Dinas Pendidikan Kabupaten Muara Enim faces similar problems, so it is important to evaluate the level of user satisfaction in order to optimize the use of this application. This study uses the System Usability Scale (SUS) method to measure the level of user satisfaction with the Merdeka Mengajar application. Data were collected through a Google Form-based questionnaire, direct observation, and literature study. The sampling technique used was saturated sampling, where all teachers at Dinas Pendidikan Kabupaten Muara Enim were used as research respondents. This study aims to obtain an overview of the level of usability of the Merdeka Mengajar application, identify obstacles faced by users, and provide recommendations for improving the application. The expected results are valuable input for application developers and schools in increasing the effectiveness of using applications to support the learning process. Keyword: Analysis; Independent Teaching; System Usability Scale;
Hypertension Classification Using Correlation-Based Feature Selection (CFS) with Random Forest, XGBoost, and Support Vector Machine: A Comparative Study on Indonesian Hospital Data Faradillah; Herri Setiawan; M Fadhiel Alie; Atthiyah Gisca Ahsya
Journal of Information System and Informatics Vol 8 No 3 (2026): June
Publisher : Asosiasi Doktor Sistem Informasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63158/journalisi.v8i3.1646

Abstract

Hypertension is a major global health problem that significantly contributes to cardiovascular disease and mortality. This study evaluates the performance of Random Forest, XGBoost, and Support Vector Machine (SVM) algorithms integrated with Correlation-Based Feature Selection (CFS) for hypertension classification using hospital clinical data. The dataset comprises 500 clinical records containing demographic and physiological variables. CFS was applied to reduce irrelevant and redundant attributes before model training. Model performance was assessed using accuracy, precision, recall, F1-score, and AUC-ROC through 10-fold cross-validation. Statistical significance was examined using the Friedman test followed by the Wilcoxon signed-rank test with Bonferroni correction. The results show that CFS improved classification performance across all models by approximately 5–6%. XGBoost achieved the best performance with 93.5% accuracy and 0.96 AUC, followed by Random Forest and SVM. However, systolic and diastolic blood pressure, which define the hypertension label, were retained as predictors, indicating a diagnostic classification design rather than independent risk prediction. Therefore, the findings should be interpreted as dataset-based hypertension classification, not future hypertension risk prediction.
Co-Authors Atthiyah Gisca Ahsya Cindy Destyana Putri Faradillah Faradillah Herri Setiawan Lastri Widya Astuti Leriza Desithama Siti Muyaroah Yulianti, Evi