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All Journal Jurnal Simetris Kompak : Jurnal Ilmiah Komputerisasi Akuntansi E-Bisnis : Jurnal Ilmiah Ekonomi dan Bisnis Pixel : Jurnal Ilmiah Komputer Grafis Elkom: Jurnal Elektronika dan Komputer JOURNAL OF APPLIED INFORMATICS AND COMPUTING Krea-TIF: Jurnal Teknik Informatika EDUMATIC: Jurnal Pendidikan Informatika EVOLUSI : Jurnal Sains dan Manajemen JSAI (Journal Scientific and Applied Informatics) Jurnal Komunitas: Jurnal Pengabidian Kepada Masyarakat Indonesian Journal of Electrical Engineering and Computer Science Abdimasku : Jurnal Pengabdian Masyarakat Jurnal Teknologi Informasi dan Komunikasi Advance Sustainable Science, Engineering and Technology (ASSET) Jurnal Riset dan Aplikasi Mahasiswa Informatika (JRAMI) Journal of Engineering, Electrical and Informatics (JEEI) Dinamika Jurnal Publikasi Ilmu Komputer dan Multimedia Jurnal Teknik Informatika dan Teknologi Informasi JURNAL AKUNTANSI DAN BISNIS Community: Jurnal Pengabdian Pada Masyarakat Journal of Technology Informatics and Engineering Transformasi Masyarakat : Jurnal Inovasi Sosial dan Pengabdian Scientific Journal of Informatics Switch: Jurnal Sains dan Teknologi Informasi Kesejahteraan Bersama : Jurnal Pengabdian dan Keberlanjutan Masyarakat Masyarakat Berkarya: Jurnal Pengabdian dan Perubahan Sosial Pelayanan Unggulan: Jurnal Pengabdian Masyarakat Terapan Inovasi Sosial: Jurnal Pengabdian Masyarakat
Sindhu Rakasiwi
Universitas Sains Dan Teknologi Komputer
Agriculture, Biological Sciences & Forestry Humanities Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mechanical Engineering Public Health Social Sciences Other

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INFORMATION SYSTEM FOR INVENTORY OF CONSUMABLE GOODS AT SMP N 28 SEMARANG Andi Dharu Permana; Sindhu Rakasiwi
Journal of Engineering, Electrical and Informatics Vol 1 No 2 (2021): Juni: Journal of Engineering, Electrical and Informatics:
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jeei.v1i2.874

Abstract

Consumables inventory information system is used to control and supervise the management of consumables in carrying out the management of consumables, they often face problems. These problems such as inaccurate counting of goods, recording process, transaction data documentation is hampered, and inventory control is not optimal. The thing that is done to minimize these problems is the construction of an information system for managing consumables inventory. This system was created by developing an existing system. The purpose of developing this system is to provide convenience for users to obtain the required information quickly and accurately. The stages of system development used in the development of this system are system analysis, system design and system implementation. The auxiliary software used to implement the system design is Delphi Borland The consumables inventory information system is built based on user needs so that requirements specifications are generated. The database in this system includes a table of goods, users, suppliers, circulation, invoices, inventories, proposals for goods and expiration of goods.
Sistem Pendukung Keputusan Pemilihan Karyawan Baru dengan metode SAW (Simple Additive Weighting) Berbasis Web Sindhu Rakasiwi; Intan Nurul Alfiani
Dinamika: Jurnal Manajemen Sosial Ekonomi Vol 1 No 1 (2021): DINAMIKA : Jurnal Manajemen Sosial Ekonomi
Publisher : LPPM Sekolah Tinggi Ilmu Ekonomi - Studi Ekonomi Modern

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/dinamika.v1i1.39

Abstract

Performance is the result of work that can be achieved by a person or a group of people in an organization, in accordance with their respective authorities and responsibilities. Employee performance is very urgent and needs to be carried out in a planned, directed, and sustainable manner in order to improve capabilities and professionalism in public services. But on the other hand, the performance in public services has not been maximized in public services.The quality of employee work is still not visible in terms of accuracy and speed and the results of the work carried out are not in accordance with what is expected. As a reference material that can be used for comparison and a frame of reference for similar issues, so as to improve the quality of employees. And can be a reference and encouragement for employees as well as a measure of success in providing quality capabilities before engaging in other workforce competition.The goal to be achieved in this research is to find out how the performance of employees of PT. Proud of Indonesian Technology. This study uses the SAW methods, often also known as the weighted addition method. The basic concept of the SAW method is to find the weighted sum of the performance ratings for each alternative on all attributes. The SAW method requires the process of normalizing the decision matrix (X) to a scale that can be comparedThe results of the study show that there is a good response, it cannot be denied that the employee's performance has not been maximized. As well as inadequate facilities and infrastructure in the office which become an important aspect in influencing employee performance. The assessment process is still done manually and implemented in excel form, so it takes a long time to process data.
HYBRID MODEL MACHINE LEARNING FOR DETECTING HOAXES Budi Hartono; Munifah; Sindhu Rakasiwi
Journal of Technology Informatics and Engineering Vol 1 No 1 (2022): April: Journal of Technology Informatics and Engineering
Publisher : University of Science and Computer Technology

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/jtie.v1i1.142

Abstract

Unlimited availability of content provided by users on social media and websites facilitates aggregation around a broad range of people's interests, worldviews, and common narratives. However, over time, the internet, which is a source of information, has become a source of hoaxes. Since the public is commonly flooded with information, they occasionally find it difficult to distinguish misinformation disseminated on net platforms from true information. They may also rely massively on information providers or platform social media to collect information, but these providers usually do not verify their sources. The purpose of this research is to propose the use of machine learning techniques to establish hybrid models for detecting hoaxes. The research methodology used here is a feature extraction experiment, in which a series of features will be analyzed and grouped in an experiment to detect hoax news and hoax, especially in the political sphere by considering five modalities. The outcome of this research indicates that the relation between publisher Prejudice and the attitude of hyper-biased news sources makes them more possible than other sources to spread illusive articles, besides that the correlation between political Prejudice and news credibility is also very strong. This shows that the experiment using a hybrid model to detect hoaxes works. well. To achieve even better results in future research, it is highly recommended to analyze user-based features in terms of attitudes, topics, or credibility.
Sistem Informasi Manajemen Kepegawaian Penentuan Karyawan Terbaik Menggunakan Metode Analytical Hierarchy Process (AHP) Berbasis Web Sindhu Rakasiwi; Haryo Kusumo; Rifal Winazar
E-Bisnis : Jurnal Ilmiah Ekonomi dan Bisnis Vol 13 No 2 (2020): Jurnal Ilmiah Ekonomi dan Bisnis
Publisher : STEKOM PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/e-bisnis.v13i2.252

Abstract

In the era of information and technological developments that are very rapid as it is today, in the context of managing human resources in a company or what is known as a personnel management information system. The problems faced by PT. Nerangi Sarana Karya, namely until now, the staffing data management is still using a manual system that is not well computerized, does not have a database as a data storage medium, data sharing is not via the network and still uses hardcopy printouts. Seeing the problems that occur in the personnel administration subdivision of PT. Nerangi Sarana Karya, the author intends to develop a web-based personnel information system (SIMPEG) to hide staffing master data, employee data, promotions, and periodic salary increase data. using PHP and MySQL. The system development method that I use is AHP. In the end, this system can provide output to its users in the form of a promotion decree, a regular salary increase decree and employee reports.
SISTEM ADMINISTRASI PENDAFTARAN PESERTA DIDIK BARU BERBASIS CASH BASIS MENGGUNAKAN WEB DINAMIS Sindhu Rakasiwi; Yuli Fitrianto; Febryantahanuji Febryantahanuji
E-Bisnis : Jurnal Ilmiah Ekonomi dan Bisnis Vol 15 No 2 (2022): Jurnal Ilmiah Ekonomi dan Bisnis
Publisher : STEKOM PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/e-bisnis.v15i2.881

Abstract

This research was conducted at SMK Widya Praja Ungaran. Every year the Widya Praja Ungaran Vocational School holds a New Student Registration (PPDB) to select prospective students. In the 2018/2019 academic year, 396 people registered and 298 people were accepted. The PPDB process starts from prospective students filling out the registration form and ends with the payment of re-registration funds for accepted students. The system used in the implementation of PPDB is still paper-based so that the performance of the PPDB committee is less effective. The purpose of this study is to design a computer-based new student registration system that is structured in a database to assist the PPDB committee in processing registration participant data, reduce paper purchase costs, minimize the risk of data loss, data corruption, recording and counting errors. Data collection was obtained through observation, interviews, questionnaires and literature study. This system is made using dynamic web with PHP (Hypertext Preprocessor) programming language and MySQL database. The design of this system uses UML (Unified Modeling Language). The development method used is the R&D (Research and Development) method. This study resulted in a cash-based new student registration administration system using a dynamic web to provide convenience for the committee in processing PPDB participant data from the registration process to new student re-registration transactions, as well as presenting reports quickly and accurately. Based on the research conducted, the results obtained from testing the validity of the new system score from internal and external validators. The internal validator with 20 statements obtained a feasibility percentage of 94%. An external validator with 20 statements obtained a feasibility percentage of 97%. From the results of these tests, it can be concluded that the administrative system for registering new students can be a solution to the problems found and can be implemented in the object of research.
Implementasi Metode Trend Moment Untuk Prediksi Penjualan Barang Jarot Dian Susatyono; Febryantahanuji Febryantahanuji; Haryo Kusumo; Sindhu Rakasiwi
E-Bisnis : Jurnal Ilmiah Ekonomi dan Bisnis Vol 17 No 1 (2024): JURNAL ILMIAH EKONOMI DAN BISNIS
Publisher : STEKOM PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/e-bisnis.v17i1.1912

Abstract

Problems that still occur in the current condition of PT MASSINDO, which is located at Jalan Gatot Subroto no 23, Block 9, Semarang City, in the process of selling springbeds, still often experience fluctuations in sales of several types and types of springbeds which are influenced by the number of goods to be sold which do not match the number of sales, thus causing a lot of losses. Therefore, it is necessary to carry out an analysis process on sales that will occur in the coming period to increase the company's sales turnover and make cash turnover more stable. The method that will be used as a consideration for companies to stabilize sales of goods is the Trend Moment method.
Systematic Literature Review Metaverse 2019-2024, Ruang Lingkup, Potensi dan Tantangannya di Masa Depan Yuli Fitrianto; Sindhu Rakasiwi
JSAI (Journal Scientific and Applied Informatics) Vol 7 No 2 (2024): Juni
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v7i2.6431

Abstract

Although the metaverse is still a concept, the discussion continues to be carried out in line with the development of technology that leads to it and the latest products, such as the release of the Apple Vision Pro which is a hot topic of conversation in early 2024. Major world companies such as Apple, Facebook and Google look serious in welcoming this Metaverse. This Systematic Literature Review was carried out by extracting articles related to the Metaverse published between 2019 to 2024, which aims to determine the scope or field of development of Metaverse application related to the adoption of supporting technology, conclude what components can support the realization of the Metaverse, predict the potential and challenges that will be faced in the future, as well as submitting suggestions for future research.
Optimization Chatbot Services Based on DNN-Bert for Mental Health of University Students Dzaky, Azmi Abiyyu; Zeniarja, Junta; Supriyanto, Catur; Shidik, Guruh Fajar; Paramita, Cinantya; Subhiyakto, Egia Rosi; Rakasiwi, Sindhu
Journal of Applied Informatics and Computing Vol. 8 No. 1 (2024): July 2024
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v8i1.7403

Abstract

Attention to mental health is increasing in Indonesia, especially with the recent increase in the number of cases of stress and suicide among students. Therefore, this research aims to provide a solution to overcome mental health problems by introducing a chatbot system based on Deep Neural Networks (DNN) and BiDirectional Encoder Representation Transformers (BERT). The primary objective is to enhance accessibility and offer a more effective solution concerning the mental health of students. This chatbot utilizes Natural Language Processing (NLP) and Deep Learning to provide appropriate responses to mild mental health issues. The dataset, comprising objectives, tags, patterns, and responses, underwent processing using Indonesian language rules within NLP. Subsequently, the system was trained and tested using the DNN model for classification, integrated with the TokenSimilarity model to identify word similarities. Experimental results indicate that the DNN model yielded the best outcomes, with a training accuracy of 98.97%, validation accuracy of 71.74%, and testing accuracy of 71.73%. Integration with the TokenSimilarity model enhanced the responses provided by the chatbot. TokenSimilarity searches for input similarities from users within the knowledge generated from the training data. If the similarity is high, the input is then processed by the DNN model to provide the chatbot response. This integration of both models has proven to enhance the responsiveness of the chatbot in providing various responses even when the user inputs remain the same. The chatbot also demonstrates the capability to recognize various inputs more effectively with similar intentions or purposes. Additionally, the chatbot exhibits the ability to comprehend user inputs although there are many writing errors.
Penggunaan Algoritma Naïve Bayes dengan Polarity Textblob untuk Analisis Sentimen pada Acara ASEAN CUP 2024 U-16 di Media Sosial Twitter Arya Erlangga; Yani Parti Astuti; Etika Kartikadarma; Sindhu Rakasiwi; Egia Rosi Subhiyakto
Switch : Jurnal Sains dan Teknologi Informasi Vol. 3 No. 1 (2025): Januari : Switch: Jurnal Sains dan Teknologi Informasi
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/switch.v3i1.357

Abstract

Football is a popular sport in the world and is enjoyed by people of all ages. The Indonesia U-16 national team played in the ASEAN CUP 2024 event in this field. Twitter users gave their support through #timnasday during the event. This provided many forms of support for the Indonesian national team which made it difficult to identify positive, neutral, and negative sentiments. This requires the use of lexicon-based textblob to perform automatic labeling. In the labeling results using textblob from a total of 1138 user tweet data resulted in positive sentiment values of 50.9% or 579 positive data, neutral 33.7% or 384 neutral data, and negative 15.4% or 175 negative data. In the test results using one of the machine learning from the naïve bayes classifier, namely gaussian naïve bayes with the division of test data and training data of 0.3 and 0.7, the accuracy value is 98.53%
Integrating ELECTRA and BERT models in transformer-based mental healthcare chatbot Zeniarja, Junta; Paramita, Cinantya; Subhiyakto, Egia Rosi; Rakasiwi, Sindhu; Shidik, Guruh Fajar; Andono, Pulung Nurtantio; Savicevic, Anamarija Jurcev
Indonesian Journal of Electrical Engineering and Computer Science Vol 37, No 1: January 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v37.i1.pp315-324

Abstract

Over the last decade, the surge in mental health disorders has necessitated innovative support methods, notably artificial intelligent (AI) chatbots. These chatbots provide prompt, tailored conversations, becoming crucial in mental health support. This article delves into the use of sophisticated models like convolutional neural network (CNN), long-short term memory (LSTM), efficiently learning an encoder that classifies token replacements accurately (ELECTRA), and bidirectional encoder representation of transformers (BERT) in developing effective mental health chatbots. Despite their importance for emotional assistance, these chatbots struggle with precise and relevant responses to complex mental health issues. BERT, while strong in contextual understanding, lacks in response generation. Conversely, ELECTRA shows promise in text creation but is not fully exploited in mental health contexts. The article investigates merging ELECTRA and BERT to improve chatbot efficiency in mental health situations. By leveraging an extensive mental health dialogue dataset, this integration substantially enhanced chatbot precision, surpassing 99% accuracy in mental health responses. This development is a significant stride in advancing AI chatbot interactions and their contribution to mental health support.
Co-Authors Abu Salam Agustinus Budi Santoso Albastomi, Taqius Shofi Andi Dharu Permana Andriana, Myra Arifin, Muhammad Farhan Ariyanto, Noval Arya Erlangga Astuti, Yani Parti budi hartono Cahaya Jatmiko Cahaya Jatmoko Cahyo Pangestu , Agus Candra Irawan Catur Supriyanto Daurat Sinaga Deddy Award Widya Laksana Dewi Agustini Santoso Dzaky, Azmi Abiyyu Edi Sugiarto Edwin Zusrony Edy Mulyanto Egia Rosi Subhiyakto Egia Rosi Subhiyakto, Egia Rosi Erlin Dolphina Erna Zuni Astuti Erna Zuni Astuti Erwin Yudi Hidayat Etika Kartikadarma Febryantahanuji Febryantahanuji Feri Agustina Fikri Budiman Guruh Fajar Shidik Haresta, Alif Agsakli Haryo Kusumo Haryo Kusumo Haryo Kusumo Heribertus Himawan Heru Lestiawan Ifan Rizqa Ika Novita Dewi Indra Laila Intan Nurul Alfiani Isnaini Khusnul Khotimah Jarot Dian Susatyono Jarot Dian Susatyono Jatmiko, Cahaya Junta Zeniarja Khani, Nadia Ifti Kurniawan, Defri Kusumo , Haryo Kusumo, Haryo Lalang Erawan Lalang Erawan Marjuni, Aris Moh Muthohir Mulyanto, Edy Munifah Murwoko, F Iwan Setyo Myra Andriana Norman, Maria Bernadette Chayeenee Nova Rijati Nur Rokhman Octaviani, Dhita Aulia Paramita, Cinantya Pulung Nurtantio Andono Putri, Chana Amelinda Rafsanjani, Muhammad Ivan Rifal Winazar Rifal Winazar Roymon Panjaitan Savicevic, Anamarija Jurcev Septiani, Karlina Dwi Shier Nee Saw Sinaga, Daurat Sri Wahyuning Suprapti suprayogi Suprayogi Suprayogi Syah Putra, Fernanda Mulya T.Sutojo Tantik Sumarlin . Taqius Shofi Albastomi Taufik Kurnialensya Triginandri, Rifqi Ubaidillah , Lutfi Utomo, Danang Wahyu Widya Laksana, Deddi Award Yani Parti Astuti Yuli Fitrianto