Article Per Year (5 Year)
p-Index From 2020 - 2025
2.9
P-Index
This Author published in this journals
All Journal KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) The IJICS (International Journal of Informatics and Computer Science) JURIKOM (Jurnal Riset Komputer) Journal of Computer System and Informatics (JoSYC) INFOKUM Jurnal Sistem Komputer dan Informatika (JSON) TIN: TERAPAN INFORMATIKA NUSANTARA Journal of Informatics Management and Information Technology Journal of Social Responsibility Projects by Higher Education Forum KLIK: Kajian Ilmiah Informatika dan Komputer Jurnal Info Sains : Informatika dan Sains Jurnal Pengabdian Masyarakat IPTEK Jurnal ABDIMAS Budi Darma Journal of Informatics, Electrical and Electronics Engineering
Pristiwanto
Universitas Budi Darma
Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Social Sciences Veterinary Other

Published : 19 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 5 Documents
Search
Journal : KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer)

 1 
Sistem Pendukung Keputusan Pemilihan Pekerja Buruh Harian Lepas Dengan Menggunakan Metode Waspas (Studi Kasus : PT.Socfin Indonesia) Indri Susilawati; Pristiwanto Pristiwanto
KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Vol 5, No 1 (2021): Peran Generasi Milenial Bertalenta Digital Pada Era Society 5.0
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/komik.v5i1.3737

Abstract

Buruh Harian Lepas (BHL) merupakan pekerja dengan perjanjian waktu tertentu. Dalam proses pemilihan pekerja buruh harian lepas harus dilakukan dengan pertimbangan yang matang, sehingga mampu memberikan keuntungan yang maksimal bagi perusahaan. Dalam tulisan ini akan dibangun suatu Sistem Pendukung Keputusan dalam pemilihan pekerja buruh harian lepas pada PT. Socfin Indonesia menggunakan metode WASPAS. Penilaian pekerja buruh harian lepas saat ini masih menggunakan cara manual. Hal ini terkadang memakan waktu yang lumayan lama. Untuk membantu perusahaan dalam menentukan calon pekerja BHL maka diperlukan sistem yang dapat memperhitungkan segala kriteria untuk mendukung pengambilan keputusan guna mempermudah proses pengambilan keputusan penerimaan calon pekerja BHL oleh pihak manajemen kepegawaian. Pada penelitian ini metode yang digunakan untuk mendukung keputusan adalah Weighted Aggregated Sum Product Assesment (WASPAS). Penelitian ini disusun dengan cara merancang sebuah program dengan konsep customize yang membolehkan user menginput sendiri informasi kriteria, pembobotan, serta kandidat. Hasil dari penelitian ini adalah membangun sebuah sistem pengambilan keputusan yang dapat digunakan dalam penentuan pekerja buruh harian lepas yang akan bekerja di PT. Socfin Indonesia.
Implementasi Algoritma Lucifer Untuk Mengamankan Data Inventor Pergudangan Kasmiran Kasmiran; Pristiwanto Pristiwanto; Siti Nurhabibah Hutagalung
KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Vol 6, No 1 (2022): Challenge and Opportunity For Z Generation in Metaverse Era
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/komik.v6i1.5747

Abstract

Data security is very important in maintaining the confidentiality of information, especially those containing information that is very important and should only be known by certain parties, let alone using delivery via public networks. Cryptography is the science and art of maintaining the confidentiality of data or text by converting it into a form that cannot be recognized anymore, one of the popular algorithms used in solving these problems is the Lucifer algorithm. Cryptography is a way or technique to secure data so that the confidentiality of the data is maintained, so as to avoid attacks by people who are not responsible for the data. This final project realizes a data security software with the Lucifer cryptographic technique algorithm using the Visual Studio 2008 method.
Sistem Pendukung Keputusan Pemilihan Kepala Desa Terbaik Di Kecamatan Batang Kuis Menggunakan Metode MOORA Samuel Sihombing; Pristiwanto Pristiwanto; A.M Hatuaon Sihite
KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Vol 6, No 1 (2022): Challenge and Opportunity For Z Generation in Metaverse Era
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/komik.v6i1.5757

Abstract

Batang Kuis Subdistrict has a list of village heads who serve as village heads, based on the list of village heads in Batang Kuis District, the best village head election will be carried out. The problem faced in this study is that in choosing the best village head, it only looks at the abilities possessed by the village head, even though there are several criteria that can be considered by the sub-district in choosing the best village head. The criteria used in this study are Performance (C1), Community (C2), Knowledge (C3), Discipline (C4) and Attitude (C5). To overcome the problems encountered, a decision support system is needed. The method used in this study is the MOORA method, this method uses 5 criteria, namely: performance, society, knowledge, discipline and attitude. From the results of the study, the results of the decision with the best alternative were obtained, namely (13) in the name of "H. Kasiman" with the acquisition of 0,378.
Penerapan Metode MAUT Terhadap Perkembangan Metaverse Untuk Media Pembelajaran Daring Dengan Pembobotan ROC Pristiwanto Pristiwanto; Hery Sunandar; Berto Nadeak
KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Vol 6, No 1 (2022): Challenge and Opportunity For Z Generation in Metaverse Era
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/komik.v6i1.5753

Abstract

Decision support system is a method that helps in making decisions from a problem with semi-structured or unstructured conditions. One of them is in implementing online learning media in the current Metaverse era. Metaverse is defined as a virtual space designed to include all stakeholders, especially all supported devices, facilitating communication with regional seamless Internet connectivity. Its application in the field of education has a very high opportunity in supporting the process of developing a more advanced education implementation. However, its use will damage physical and psychological health, increase the risk of sexual harassment so that it becomes addicted and forgets time. Therefore, the role of DSS in solving this problem is urgently needed by applying the MAUT method and ROC weighting. In this study, the results of the MAUT method, the best alternative is A2 for Google Classroom with a value of 0,597.
Penerapan Metode CNN-LSTM Dalam Memprediksi Hujan Pada Wilayah Medan Mhd. Alfandi; Pristiwanto Pristiwanto; A. M. Hatuaon Sihite
KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Vol 6, No 1 (2022): Challenge and Opportunity For Z Generation in Metaverse Era
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/komik.v6i1.5713

Abstract

The causative factor of rain can occur due to the air temperature in an area or also due to the volume of water carried by the clouds. Tomorrow's weather conditions are needed to draw up various plans. The people of medan city with the work of the majority of employees and traders need information about rainfall. For the past, rainfall forecasts depended heavily on the month, there was a dry season and a rainy season. But nowadays, rainfall is increasingly difficult to predict, so a model or system is needed that can accurately predict rainfall. In this study, it was explained about rainfall prediction using one of the ANN models to predict future rainfall called CNN-LSTM. CNN-LSTM is an artificial neural network system specifically designed to handle long-term time series data such as rainfall. In its architecture, the CNN-LSTM model uses 2 LSTM Hidden Layers consisting of 108 LSTM neurons in each layer. The activation function used is Tanh. The loss function used is Mean Square Error. The result obtained is a model that can better predict rainfall if the input data given to the model is getting longer which is marked by a smaller Root Mean Square Error value.
Co-Authors A. M. Hatuaon Sihite A.M Hatuaon Sihite Abdul Hidayat Ahmad Safitra Azlan Azlan Dinda Luthfita Dodi Kurniawan Heri Sunandar Heri Sunandar Hery Sunandar Indri Susilawati Kasmiran Kasmiran Lisdawati Simangunsong Mesran, Mesran Mhd. Alfandi Rian Syahputra Saidi Ramadan Siregar Samuel Sihombing Sanwani Sanwani Sarwandi Wandi Siti Nurhabibah Hutagalung Soeb Aripin