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All Journal Prosiding Semhavok Informatika Bulletin of Science Education Management Research and Behavior Journal Pamasa: Jurnal Pengabdian kepada Masyarakat Journal of Computer Science and Information Technology
Rendy Saputra
STMIK Amikom Yogyakarta
Humanities Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Environmental Science Languange, Linguistic, Communication & Media Library & Information Science Social Sciences Other

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APLIKASI PENGOLAHAN DATA KARYAWAN PADA CV.KARYA SIBER INDONESIA BERBASIS WEB Saputra, Rendy; Putra, Ade
SEMHAVOK Vol 2 No 2 (2020): Juli - Desember 2020
Publisher : Fakultas Vokasi

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

Abstract

Sistem Informasi dibuat untuk mempermudah dalam pengelolaan dan penyimpanan data maka dapat menghasilkan suatu informasi yang tepat dan akurat. Adanya sistem informasi yang tepat dan akurat dapat mengurangi terjadinya kesalahan yang tidak diinginkan sehingga dapat meningkatkan kinerja yang lebih efisien dan kecepatan operasional perusahaan. Pendaftaran siswa baru merupakan siklus tahunan yang dialami oleh semua instansi pendidikan baik itu instansi negeri maupun swasta. Proses penerimaan siswa baru merupakan salah satu kegiatan yang menunjang kegiatan belajar mengajar nantinya. Dalam proses inilah interaksi antara calon siswa baru dengan instansi pendidikan terjalin. Biasanya setelah tiba waktu pendaftaran, istansi pendidikan langsung didatangi banyak pendaftar ini menimbulkan layanan akan proses pendataan sedikit terhambat dengan banyaknya pendaftar, serta jumlah petugas pendaftaran yang sangat sedikit akan kesulitan dalam melakukan pendataan calon siswa baru. Maka dari itu, dibutuhkan sebuah aplikasi yang dapat digunakan oleh siswa untuk mendaftar kursus secara online. Metode pengembangan sistem yang digunakan adalah waterfall. Dalam implementasinya menggunakan Bahasa pemerograman PHP dan MySql Sebagai databasenya.
The Effect of Competence on Student Readiness in the World of Work with Confidence as the Intervening Variable Saputra, Rendy; Rosita, Sry; Chairunnisa, Fitri
Management Research and Behavior Journal Vol 3, No 1 (2023)
Publisher : Department of Management, Universitas Malikussaleh, Aceh Utara, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/mrbj.v3i1.10737

Abstract

The study aims to determine the effect of competence on student readiness in the face of the work world or known as the work readiness with confidence as an intervening variable. The target of this research is on Merdeka Belajar Kampus Merdeka  (MBKM) Students Strata 1 Management Studies Program of Faculty of Economics and Business Universitas Jambi. Population and sample for this study were MBKM students amounting to 190 students with the number of samples 66 students. This research is a quantitative research, the data used in this study obtained through the questionnaire method is composed. Methods of data analysis This research is descriptive statistical analysis using Structural Equantion (SEM) technique, with Partial Least Square (PLS) as a process of priority using the SmartPLS program (v.3.3.9). The results of this study prove that the competence has a positive and significant effect on the readiness of work, competence has a positive and significant influence on confidence, confidence has a positive and significant influence on work readiness, competence has positive and significant purses on work readiness through MBKM Student Strata 1 State of Management Studies Faculty of Economics and Business Universitas Jambi
The Effect of Resilience on Health with Social Support as a Moderator for Health Workers in Jakarta During the Covid-19 Pandemic Saputra, Rendy; Roswiyani, Roswiyani
Bulletin of Science Education Vol. 4 No. 1 (2024): Bulletin of Science Education
Publisher : CV. Creative Tugu Pena

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51278/bse.v4i1.1071

Abstract

Healthcare workers are currently preoccupied with the COVID-19 pandemic, causing the risk of mental disorders. This study aims to determine the effect of resilience on health with social support as a moderator for healthcare workers in Jakarta during the COVID-19 pandemic. Participants in this research were healthcare workers, either doctors or nurses who were working in hospitals or health clinics in Jakarta during the COVID-19 pandemic. Research participants are at least 20 years old, male and female, and not limited by religious background, culture, social status, and length of time as a healthcare workers. Measurement of resilience variable using the RQ Test made by Reivich and Shatte, social support variable using the Multidimensional Scale of Perceived Social Support (MSPSS) made by Zimet et al, and health variable using the SF-36 measurement scale made by RAND Corporation. Based on the results of the regression analysis, this study has the result that resilience has a significant effect on the health condition of healthcare workers, which means that the more resilient a person is, the better the individual’s health will be. Resilience moderated by social support has a significant effect on health, which means that social support is able to strengthen the relationship between resilience and the health of healthcare workers in Jakarta during the COVID-19 pandemic. Keywords: Healthcare Workers, Resilience, Social Support
Penerapan Algoritma Dynamic Programming Dalam Penentuan Prioritas Pengerjaan Tugas Kuliah Mahasiswa Hidayat, Febrian Nur; Ferdinan, Bryan Desmonda; Saputra, Rendy; Christian, Efrans; Pranatawijaya, Viktor Handrianus
Jurnal Informatika Vol 12, No 2 (2024): INFORMATIKA
Publisher : Fakultas Sains & Teknologi, Universitas Labuhanbatu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36987/informatika.v12i2.5632

Abstract

College assignments are an essential part of every student’s learning process. However, the multitude of tasks from various subjects often leaves students confusedabout prioritizing their work. This research aims to assist students in effectively determining the priority of completing college assignments using a dynamic programming algorithm. This research uses a modeling method of various subjects as variables with different weights, such as deadlines and task difficulty levels. The dynamic programming algorithm is then used to find the optimal solution in completing all tasks, considering various possibilities, both deadlines and difficulty levels. This research has found that the application of the dynamic programming algorithm can create the best solution that takes into account all aspects and produces optimal schedulling in completimg tasks.  Althought it requires more time in the calculation process, this algorithm can also provide an optimal solution to help students complete their tasks efficiently and effectively. The application of this dynamic programming algorithm is expected to be a solution for students in completing their tasks better and avoiding stress due to task accumulation. Besides, this research also has the potential to benefit lecturers in assigning tasks to students by considering optimal capabilities and working time. Thus, this  research can help improve the quality of learning in higher education.
ANALISIS PREDIKSI SAHAM TESLA MENGGUNAKAN ALGORITMA LONG SHORT TERM MEMORY (LSTM) Saputra, Rendy; Alamsyah, Alfin Gusti; Dandi; Tjoanda, Michael; Kent Nick; Cornelius, Alten
Journal of Computer Science and Information Technology Vol. 2 No. 1 (2024): Desember
Publisher : Yayasan Nuraini Ibrahim Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70248/jcsit.v2i1.1482

Abstract

Penelitian ini mengkaji penggunaan algoritma Long Short-Term Memory (LSTM) untuk memprediksi harga saham Tesla, mengingat tingginya volatilitas harga saham yang menjadi tantangan bagi investor dalam mengambil keputusan investasi. Tujuan penelitian adalah merancang dan mengevaluasi model prediksi harga saham menggunakan LSTM. Data yang digunakan berasal dari Yahoo Finance periode Mei 2020 hingga Mei 2024, mencakup harga pembukaan, tertinggi, terendah, dan penutupan. Metodologi penelitian meliputi preprocessing data menggunakan StandardScaler, pembagian data training-testing dengan rasio 80:20, dan implementasi arsitektur LSTM dua lapisan dengan masing-masing 50 neurons. Hasil penelitian menunjukkan performa yang baik dengan nilai RMSE 0.042 dan MAPE 18.7%. Model berhasil mengikuti pola pergerakan harga saham dengan akurat, terutama dalam menangkap tren dan fluktuasi signifikan selama periode September 2023 hingga April 2024. Proses pelatihan dengan 100 epoch dan batch size 4 menunjukkan konvergensi yang stabil tanpa tanda-tanda overfitting. Penelitian ini memberikan kontribusi dalam pengembangan metode prediksi harga saham yang dapat membantu investor dalam mengambil keputusan investasi yang lebih informed.
Program Pembinaan Nilai Keislamanan Pada Akhlak Anak Usia Dini Di Desa Kandui Wijaya, Supriadi; Saputra, Rendy; Eka Sari, Ema; Risdayanti, Risdayanti; Iqbal, Muhammad; Ummah, Nahdatul; Gofur, Abdul
Pamasa : Jurnal Pengabdian Pada Masyarakat Vol 2 No 2 (2024): Desember 2024
Publisher : Fakultas Ilmu Budaya Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.pamasa.2024.2.2.13515

Abstract

This article is about the Islamic development program for children in Kandui Village, which includes teaching Quranic recitation at the Qur'anic Education Park (TPA), muhadharoh, Islamic Children's Festival (FAI), prayer practice and Islamic teaching at the madrasah. The main focus of this program is to instill morals and faith in children from an early age. Through Qur'an reading activities, religious discussions and teaching Islamic values, children are taught to understand and internalize religious teachings in their daily lives. This research identifies the positive impact of the program on children's character development, as well as the challenges faced in its implementation, including parental and community involvement. The results show that an integrated and collaborative approach can create an environment that supports the growth of faith and noble character in the younger generation in Kandui Village.
Co-Authors Abdul Gofur Ade Putra Alamsyah, Alfin Gusti Chairunnisa, Fitri Cornelius, Alten Dandi Efrans Christian Eka Sari, Ema Ferdinan, Bryan Desmonda Hidayat, Febrian Nur Kent Nick Muhammad Iqbal Risdayanti, Risdayanti Roswiyani, Roswiyani Sry Rosita Tjoanda, Michael Ummah, Nahdatul Viktor Handrianus Pranatawijaya Wijaya, Supriadi