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All Journal Jurnal Sistem Informasi dan Informatika (SIMIKA) Jurnal Ilmiah Sains dan Teknologi (SAINTEK) Journal Sensi: Strategic of Education in Information System ABDIKARYA: Jurnal Pengabdian dan Pemberdayaan Masyarakat

Rudianto Rudianto

Universitas Banten Jaya

Author-ID : 3161302

Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Library & Information Science Physics Veterinary Other

Published : 6 Documents Claim Missing Document

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Articles

PENANGGULANGAN SAMPAH DI ERA COVID 19 DENGAN PENDEKATAN SOSIAL DI LINGKUNGAN BOGEG KELURAHAN BANJAR AGUNG RT 01 RW 02 Nur Hidayanti; Raden Kania; Tifani Intan Solihati; Rudianto Rudianto; Ramdani Budiman; Ely Nuryani
ABDIKARYA: Jurnal Pengabdian dan Pemberdayaan Masyarakat Vol 4 No 1 (2022): ABDIKARYA: Jurnal Pengabdian dan Pemberdayaan Masyarakat
Publisher : Lembaga Pengembangan, Penelitian dan Pengabdian Kepada Masyarakat Universitas Banten Jaya

Garbage problems are common in every city. However, this can be resolved with various solutions that can overcome these problems. One of them is by conducting field observations, then conducting socialization and social approaches to residents. In this way, the waste problem can be solved little by little. The results of the observations showed that there were piles of garbage in the residents' gardens and the amount of garbage scattered in the waterways due to the absence of trash cans and the difficulty of accessing garbage trucks to transport residents' garbage. Especially in this era of covid 19, we must maintain cleanliness from various viruses. Garbage is a small thing that can trigger a virus to grow. Therefore, a solution was found to overcome the waste. With the solution for making trash cans by KKM students, residents can throw garbage in its place and use an open-top Tossa motorbike because it is small and can enter the narrow road in the bogeg neighborhood of RT 1 RW 2, Banjar Agung village. This is expected to be a solution to the waste problem in the area

SISTEM INFORMASI PEMBAYARAN KREDIT KENDARAAN SEPEDA MOTOR PADA CV. PUTRA PERSADA Rudianto Rudianto; Edy Rakhmat
Jurnal Ilmiah Sains dan Teknologi Vol 3 No 2 (2019): Vol 3 No 2 Agustus 2019
Publisher : Teknik Informatika Fakultas Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (720.534 KB)

with the progress of information technologi develompent. It has increasingly triggered economic activities in all fields.Among these economic activities are bussinesses in the field of automotive product sales. So that at this time many emerging companies engaged in the field of automotive Loan financing.One such campany is CV. Putra Persada having ITS address at Rangkas Bitung as the official distributor of Yamaha motorcycles sales. Payment of automotive loans id the main activity of CV. Putra Persada besides payment in cash. Because as an economically credit purchase bring more profits than cash purchase. This credit purchase can also have a negative impact on the company. The negative impact can be caused by mismanagement of the company. In managing credit related data such as consumer data and navigation data. It type related to credit such as consumer data and credit payment data. Addressing the problems container in the CV. Putra Persada we Made a solution by analyzing and designing a more efficient and effective information system' which ia also our final project, which we titles "Motorcycle credit payment information system' at CV. Putra Persada"

PENENTUAN DOSEN BERPRESTASI PADA AKADEMI KEPERAWATAN YATNA YUANA LEBAK DENGAN METODE SIMPLE ADDITIVE WEIGHTING (SAW) Mohamad Hilman; Ramdani Budiman; Rudianto Rudianto
Jurnal Ilmiah Sains dan Teknologi Vol 5 No 2 (2021): Jurnal Ilmiah Sains dan Teknologi
Publisher : Teknik Informatika Fakultas Ilmu Komputer

This study aims to provide an authentic and objective decision-making system on performance appraisal. The process of selecting outstanding lecturers should not be influenced by the element of subjectivity from those who choose, so it is felt that they do not support the process. To overcome the above problems, a decision support system was made to assist the process of selecting outstanding lecturers at the Yatna Yuana Lebak Nursing Academy. In this study, the Multiple Attribute Decision Making (MADM) problem solving using the Simple Additive Weighting (SAW) method was used. This method was chosen because it can determine the weight value of each criterion, which is then carried out a ranking process to determine the best alternative from a number of alternatives. With this ranking method, it is hoped that the assessment can be more precise because it is based on the criteria and weights that have been determined so that it gets a more accurate assessment result of who gets the predicate of outstanding lecturer. With this research, it is expected to evaluate the extent to which the system that has been implemented can affect the quality of education at the Yatna Yuana Lebak Nursing Academy.

Prototype Sistem informasi Bursa Kerja pada Universitas Serang Raya Agus Irawan; Rudianto Rudianto; Rizka Desiana
Journal Sensi: Strategic of Education in Information System Vol 7 No 1 (2021): Journal Sensi
Publisher : UNIVERSITAS RAHARJA

Tingkat Penyerapan mahasiswa oleh dunia kerja merupakan bagian pentingdalam mendukung kinerja perguruan tinggi.Produktivitas perguruan tinggi dalammencetak lulusan kadang tidak dibarengi dengan upaya kampus dalam memfasilitasimahasiswa untuk mendapatkan lapangan pekerjaan yang sesuai dengan bidangkompetensi mereka. Kebutuhan stakeholder yang berkepentingan perlu difasilitasi dengansebuah media yang dapat menjembatani kepentingan tersebut. Aplikasi Bursa kerja bagialumni dapat menjembatani kepentingan antara yang membutuhkan pekerja dengan pihakyang membutuhkan pekerjaan itu dalam hal ini alumni melalui universitas. Untukmembangun sistem menggunakan framework Codeigniter yang ditulis dengan bahasaPHP yang merupakan bahasa untuk membangun sistem berbasis web. model yangdigunakan adalah dengan menggunakan prototype. Aplikasi diharapkan dapatmenyediakan layanan berupa informasi lowongan pekerjaan, dimana dapat melibatkanstakeholder yang berkepentingan baik itu dari industri, universitas dan alumni.

Sistem Informasi Pendataan Persediaan Obat Pada Klinik PT. Krakatau Hoogovens Internasional Pipe Industries Khasan Asrori; Rudianto Rudianto; Darpi Darpi
Journal Sensi: Strategic of Education in Information System Vol 8 No 2 (2022): Journal Sensi
Publisher : UNIVERSITAS RAHARJA

PT Krakatau Hoogovens International Pipe Industries merupakan salah satu perusahaan yangbergerak dibidang manufaktur tentunya dalam industri pipa. Perusahaan ini memiliki fasilitas klinis didalamnya. Fasilitas klinik ini digunakan untuk karyawan yang bekerja di perusahaan. Klinik inibiasanya memberikan pelayanan kepada karyawan yang mengalami penyakit ringan seperti pusing,mual, diare dan lain-lain selama proses kerja. Dalam penanganan klinik pegawai dapat langsungdatang menemui dokter atau perawat untuk menyampaikan keluhannya. Biasanya jika sudahdiperiksa oleh petugas klinik akan diberikan obat untuk meredakan keluhan. Disini perawat akanmencari obat yang dibutuhkan pasien pasien, dalam pencarian ketersediaan obat klinis masihmenggunakan sistem tertulis atau manual dengan kata lain belum terkomputerisasi sehinggamemakan waktu lama dan mempengaruhi efisiensi kerja dan efektivitas. Sistem pendataan persediaanobat di klinik berbasis website ini bertujuan untuk mengolah data pasien, data obat, data persediaanobat, dan data tanggal kadaluarsa obat untuk pemeliharaan database. Sistem informasi ini dirancangdengan menggunakan framework, visual studio programming, dan SQL server sebagai database-nyayang dapat menjadi solusi dari permasalahan yang dihadapi. Metode yang digunakan adalahwaterfall, dari proses analisis kebutuhan, kemudian perancangan sistem hingga perancanganantarmuka.

PREDIKSI KELULUSAN MAHASISWA TEKNIK INFORMATIKA UNIVERSITAS BANTEN JAYA MENGGUNAKAN ALGORITMA NEURAL NETWORK Rudianto Rudianto; Raden Kania; Tifani Intan Solihati
Jurnal Sistem Informasi dan Informatika (Simika) Vol 5 No 2 (2022): Jurnal Sistem Informasi dan Informatika (Simika)
Publisher : Program Studi Sistem Informasi, Universitas Banten Jaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47080/simika.v5i2.2123

The university strives to provide relevant knowledge. One way the government can use it is to measure the quality of the institution by the number of graduates. The higher the pass rate, the higher the quality of training, which can have a positive impact on the certifications awarded by BAN-PT. This allows researchers to see how research is being conducted at the University of Banten Jaya. To predict graduation rates, students can use a type of artificial neural network algorithm commonly known as neural networks. Artificial neural networks are machine learning techniques developed from Multilayer Perceptron (MLP) and designed to process two-dimensional data. Neural network algorithms belong to the type of deep neural network imaging used. There are several types of neural network techniques. That is, the steps of forward and reverse propagation training. Neural networks are similar to MLPs, but in neural networks each neuron is represented in two dimensions, as opposed to MLP, where each neuron has only one dimension. The results of student graduation in a timely manner and is expected to provide information and can provide input to universities in formulating policies for future improvements.

Co-Authors Agus Irawan Budiman, Ramdani Darpi Darpi Edy Rakhmat Ely Nuryani Kania, Raden Khasan Asrori Mohamad Hilman Nurhidayanti Nurhidayanti Rizka Desiana Tifani Intan Solihati

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