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All Journal JAIS (Journal of Applied Intelligent System) CESS (Journal of Computer Engineering, System and Science) Jurnal Ilmiah SIGMA: Informatics Engineering Journal of UPB Indonesian Journal of Contemporary Multidisciplinary Research Jurnal Pelita Pengabdian SAINTEK
Amali
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Survei Pohon Keputusan Entropi untuk Memprediksi Kematangan Buah Durian Varietas Musangking Maulana, Donny; Amali
Prosiding Sains dan Teknologi Vol. 3 No. 1 (2024): Seminar Nasional Sains dan Teknologi (SAINTEK) ke 3 - Januari 2024
Publisher : DPPM Universitas Pelita Bangsa

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Abstract

Kematangan buah durian varietas Musangking merupakan faktor penting yang menentukan kualitas dan harga jualnya. Oleh karena itu, prediksi kematangan buah durian menjadi penting untuk dilakukan. Dalam penelitian ini, metode pohon keputusan entropi digunakan untuk memprediksi kematangan buah durian varietas Musangking. Data yang digunakan berupa data hasil pengukuran karakteristik fisik dan kimia buah durian, yaitu warna kulit, ketebalan kulit, bobot buah, kadar air, dan kadar gula. Hasil penelitian menunjukkan bahwa pohon keputusan entropi dapat digunakan untuk memprediksi kematangan buah durian varietas Musangking dengan akurasi sebesar 90%.
Implementasi One-Time Password (OTP) Dengan Algoritma SHA-512 Untuk Peningkatan Keamanan Login Pada Aplikasi Absensi Siswa MAN 1 Bekasi Amali; Randi Saepudin Kusmayadi
Prosiding Sains dan Teknologi Vol. 4 No. 1 (2025): Seminar Nasional Sains dan Teknologi (SAINTEK) ke 4 - Februari 2025
Publisher : DPPM Universitas Pelita Bangsa

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There are more and more information systems for school needs, including attendance systems. The attendance system is important in the ongoing teaching and learning activities in schools, especially for students. Security is very important for someone, everyone needs security and comfort in their life. Thus developments in the field of technology are designed to provide security and protect one's assets. In addition to this, of course, the application of a security system that will be designed can reduce the number of fraud that occurs in students, especially absenteeism fraud. The login process is part of the system that authenticates users. The login process still uses the same password every time it logs into a system. This is still not safe enough to protect users from irresponsible parties. Therefore, to minimize the use of the system by unauthorized persons, it is necessary to use the One-Time Password method in a login system. One-Time Password is a password that is only valid for a single login session or single transaction. It is hoped that the designed student attendance system will help shorten time, make it easier for teachers to recapitulate attendance data. Researchers used the Agile Software Development method in designing the proposed system. This research was conducted using the Secure Hash Algorithm method to implement One-Time Password (OTP). OTP can be a fairly appropriate solution for securing data in a student attendance system. One of the cryptographic methods, namely the hash function is used to be able to create an OTP password and the character selection is chosen randomly with the Pseudo Random Number Generator.
Penerapan Data Mining Dalam Menentukan Karyawan Teladan Dengan Algoritma C5.0 Berbasis Web di RS. Permata Keluarga Amali; Lukertina Sitorus
Prosiding Sains dan Teknologi Vol. 4 No. 1 (2025): Seminar Nasional Sains dan Teknologi (SAINTEK) ke 4 - Februari 2025
Publisher : DPPM Universitas Pelita Bangsa

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Abstract

Human resource evaluation plays a crucial role in supporting organizational performance, particularly in determining outstanding employees objectively and efficiently. At Permata Keluarga Hospital, the employee performance assessment process was still conducted manually, resulting in time-consuming data processing and unmeasured accuracy levels. This study aims to implement a data mining approach using the C5.0 decision tree algorithm to classify employee performance and support decision-making in selecting outstanding employees. The research employed the CRISP-DM methodology, including business understanding, data understanding, data preparation, modeling, evaluation, and deployment stages. The dataset consisted of 250 employee performance records with attributes such as competence, intellectual ability, accuracy, communication, loyalty, teamwork, discipline, initiative, and attitude. Data were processed through preprocessing and split validation with an 80:20 ratio for training and testing. The modeling results indicate that the C5.0 algorithm successfully generated a decision tree with 12 classification rules, where teamwork emerged as the root node, followed by discipline, initiative, and attitude. The implementation of the model into a web-based system enabled automatic classification and improved the efficiency and objectivity of performance evaluation. Overall, the application of the C5.0 algorithm effectively supports decision-making in determining outstanding employees.
Co-Authors Aan Fadillah Aditiya, Rangga Ahmad shofwan anshory Alif Nur Fathlii Amarta Alvina Damayanti Amrullah, Hilman Ihza Anggi Muhammad Rifa’i Donny, Maulana Fauzhan Qhof Pratama Hidayat, Chaerul Ismasari, Nawangsih Laela Nur Rohmah Lukertina Sitorus Majid, Annisa Maulana Maulana, Donny Maulana, Faris Miftakul Huda Muhammad Alwi Nur Fathihah Muhammad Reza Muhana Aydin Nashif, Hamim Nawangsih, Ismasari Rahman Santosa, Ravansa Randi Saepudin Kusmayadi Ridho Pikriyansyah Riffani, Sidik Rini Ariza Sara Khusnul Mumtazah Sasi Kirana, Anindia Sugeng Santoso Taufik Qurhahman Tedi, Kurniadi Nanang Wahyu, Hadikristanto