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STRING (Satuan Tulisan Riset dan Inovasi Teknologi)

STRING
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Published by Universitas Indraprasta PGRI

ISSN : 25279661 EISSN : 25492837 DOI : http://dx.doi.org/10.30998/string.v4i3.6197

Core Subject : Science, Education,

Computer Science & IT Mathematics

STRING (Satuan Tulisan Riset dan Inovasi Teknologi) focuses on the publication of the results of scientific research related to the science and technology. STRING publishes scholarly articles in Science and Technology Focus and Scope Covering: 1. Computing and Informatics 2. Industrial Engineering 3. Electrical Engineering 3. Mechanical Engineering 4. Applied Mathematical 5. Physics (Classical and modern) 6. Mathematics and Science

Arjuna Subject : Ilmu Komputer (semua kategori) - Teori Komputasi dan Matematika

Articles 291 Documents

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Prototipe Sistem Pendukung Keputusan Pemilihan Karyawan Teladan dengan Menggunakan Metode Profile Matching Ruben Edward
STRING (Satuan Tulisan Riset dan Inovasi Teknologi) Vol 3, No 3 (2019)
Publisher : Universitas Indraprasta PGRI Jakarta

The high performance of workers is closely related to the reward system. The award in the form of selecting exemplary employees encourages the creation of self-employed, disciplined, and achieving employees. Improper employee role choices can lead to injustice and impact on employee motivation. Number of employees, the number of criteria in the assessment, the potential of subjective judgment, and the system is still a simple manual of work processes exemplary employees in PT SRI takes a long time. To solve the problems that occur, then prepare a decision support system for the creation of a more effective and efficient decision. With the new system is expected to enter in the search data, calculate in the assessment of selection of exemplary employees, and decision decision. In making this Decision Support System will use the method of Matching Case Study in PT SRI. This study discusses the analysis of the work, skills or skills, work attitude, knowledge (knowledge), Personality and socialization are categorized in the core and secondary factors using GAP methods Analysis in accordance with Profile Matching method. The result of the research is a decision support system capable of providing effective and efficient

Perancangan Database E-Learning Manajemen System untuk Pembelajaran pada Sekolah Menengah Pertama Siti Khotijah
STRING (Satuan Tulisan Riset dan Inovasi Teknologi) Vol 1, No 1 (2016)
Publisher : Universitas Indraprasta PGRI Jakarta

E-Learning Manajemen System adalah suatu perangkat lunak atau software untuk keperluan administrasi, dokumentasi, laporan sebuah kegiatan mengajar, kegiatan belajar mengajar, kegiatan secara online dan materi pelatihan. Penulisan ini adalah untuk menganalisis sistem dan merancang aplikasi E-Learning Manajemen System Berbasis Web Untuk Pembelajaran pada Sekolah Menengah Pertama (SMP) agar dapat membantu dalam proses kegiatan belajar mengajar (KBM). Dengan adanya perancangan database ini, diharapkan dapat membantu masalah yang dihadapi dalam merancang E-learning Manajemen System supaya rancangannya sesuai dengan informasi yang ingin disampaikan. Kesimpulan dari penulisan ini adalah memudahkan perancangan E-Learning Manajemen Sytem untuk pembelajaran pada sekolah menengah pertama agar komunikasi guru dan murid, pemberian materi dan pengumpulan tugas, serta memudahkan penginformasian nilai.

Perancangan Aplikasi Perhitungan Bangun Datar dan Bangun Ruang Berbasis Android Hayyillah Al Marzuki; Wahyu Nur Cholifah; Mukhamad Candra Irawan
STRING (Satuan Tulisan Riset dan Inovasi Teknologi) Vol 4, No 2 (2019)
Publisher : Universitas Indraprasta PGRI Jakarta

Tujuan yang akan dicapai dalam penelitian ini adalah membuat aplikasi android yang membantu pelajar untuk menghitung dan belajar tentang bangun datar dan bangun ruang. Aplikasi ini merupakan aplikasi untuk menghitung luas, keliling, dan volume suatu bangun datar ataupun bangun ruang dengan berbasiskan OS Android yang didalamnya juga terdapat gambar, rumus, serta materi yang menyangkut tentang penghitungan geometri tersebut. Pengguna memilih bangun apa yang akan dihitung, kemudian memasukkan input yang diminta dalam melakukan penghitungan. Dalam perancangan dan pembuatan aplikasi ini diperlukan software yaitu Java, Android ADT, dan Photoshop.

Analisis dan Model Peramalan Data Ekspor-Impor dengan Metode Gabungan ARIMA-Neural Networks Aris Gunaryati
STRING (Satuan Tulisan Riset dan Inovasi Teknologi) Vol 2, No 1 (2017)
Publisher : Universitas Indraprasta PGRI Jakarta

An accurate forecasting model for a time series data is still difficult to obtain if the data is complex. This study aims to analyze and make the model of import export data forecasting with the combined method ARIMA - Neural Networks. This method is expected to improve NN's ability to complex problems and improve forecasting accuracy. The forecasting model obtained is used to predict the value of import-export in the next period. From the available data, ARIMA forecasting model for export value is ARIMA (1,1,12) with error 0,968 and forecasting model of NN with sigmoid bipolar gives error 0,180732 while NN model with semilinier gives error 0,081521 . For import value, obtained ARIMA (0, 1, 0) model with error 0,971 and forecasting model of NN with sigmoid bipolar gives error 1,437723 while model of NN with semilinier gives error 0,957831. Based on these results, a combined forecasting model of ARIMA and Neural Network with a semilinier activation function will be performed because it has a smaller error value compared to the sigmoid bipolar activation function. The ARIMA- NNforecasting model with the semilinier activation function yield error 0.046010 for the export value data and 1.081964 for the import value data.

Analisis Data Lifting Migas Menggunakan Metode C4.5 Pada Asosiasi Daerah Penghasil Migas Ahmad Husain
STRING (Satuan Tulisan Riset dan Inovasi Teknologi) Vol 2, No 3 (2018)
Publisher : Universitas Indraprasta PGRI Jakarta

One of ADPM's Work programs every year is to provide a data analysis of oil and gas lifting to all members of ADPM. The purpose of this research is to make the regional oil and gas producers can take decisions in determining the regional revenue from the sale of oil and gas in a timely and efficient manner. In the process of making decision-making required raw data to be processed so that will produce an appropriate decision. The first step that must be done is entering data member of producing region, its production data and data of oil and gas lifting year 2014-2015 by using Microsoft Excel which will be used as raw data in RapidMiner data processing application. The second step is selecting data that is not needed in data processing in RapidMiner. From the data that has been selected that will be used as training data, training data will be made some classification required for the process of data management to get accurate and precise results, so that the Region Oil and Gas Producers can determine the realization of lifting with precise and accurate.

Steganografi untuk Keaslian Tanda Tangan yang Terdigitalisasi Algoritma RC4 Imam Himawan
STRING (Satuan Tulisan Riset dan Inovasi Teknologi) Vol 3, No 2 (2018)
Publisher : Universitas Indraprasta PGRI Jakarta

Steganography for digitalized signature authenticity with the RC4 algorithm (Ron's Code # 4). We use this concept where the text is hidden behind the image and the intended recipient is able to see it. The purpose of this research is to maintain the authenticity of the digitalized signature by hiding the message therein. So that if there is a problem regarding a fake or suspicious signature related to the document, it can be resolved properly using this system, the authenticity of the document can be known. This system uses the RC4 Algorithm made with visual basic 6 programming language. In the steganography method this method is very useful if used on computer steganography because there are many digital file formats that can be used as a medium to hide messages. Commonly used formats include: Image format: bitmap, gif, jpeg, etc., Audio format: wav, voc, mp3, etc., The method used is to insert a message and display the message Technique testing the system with RGB (Red Green Blue) . The quality of the software produced is tested based on fourthe quality characteristics of the ISO 9126 model software, namely functionality, reliability , usability , and efficiency. The results of this study will be documentation in the office PT. Jaya For Current that fits the needs of the company

Sistem Informasi Perpustakaan Berbasis Web pada SMAN 1 Cibinong Syamsul Bakhri; Al Bani
STRING (Satuan Tulisan Riset dan Inovasi Teknologi) Vol 4, No 2 (2019)
Publisher : Universitas Indraprasta PGRI Jakarta

Permasalahan yang dihadapi oleh perpustakaan di SMAN 1 Cibinong antara lain segala aktifitas pencatatan dilakukan di lembar formulir Sehingga membutuhkan waktu yang lama dalam proses pencarian data buku, data anggota, data denda, data peminjaman buku dan data pengembalian buku. sehingga akan berimbas pada proses pembuatan laporan pustaka yang akan dilaporkan setiap bulannya. Oleh karena itu penelitian ini bertujuan untuk meningkatkan pelayanan perpustakaan dengan membangun sistem informasi perpustakaan berbasis web. Untuk metode pengumpulan data yang penulis gunakan observasi, wawancara, studi pustaka dan tools UML untuk pendokumentasian sistemnya. Sehingga dibuatlah sebuah website perpustakaan pada SMAN 1 Cibinong yang dapat diakses oleh anggota dan pengunjung.

Implementasi Jaringan Syaraf Tiruan Backpropagation untuk Memprediksi Ketinggian Air (Studi Kasus: Sungai Ciliwung) Rendi Prasetya
STRING (Satuan Tulisan Riset dan Inovasi Teknologi) Vol 1, No 3 (2017)
Publisher : Universitas Indraprasta PGRI Jakarta

Prediction water level is still done using statistical methods. However, problems will arise if the research done on dynamic systems, as well as the water level prediction system. Artificial neural network technology can properly identify data patterns of a dynamic system. This study was conducted to predict the height of water in Bogor using rainfall data, evaporation and water level, observations in 2009-2010. The design of the prediction model using neural networks backpropagation with MATLAB software. Characteristics of artificial neural networks used are: 1 input layer with two neurons (precipitation and evaporation), one hidden layer and one output layer (water level), the value of the learning rate of 0.9; momentum of 0.1; 3 hidden neurons, error tolerance of 0.0001 and a maximum of 10000 epoch The experimental results by looping earned 10 times the average error was 10.93%, and it can be concluded that the system can properly predict the height of the water

Implementasi Software Berhitung Berbasis Android di Taman Kanak-kanak Kecamatan Jagakarsa Naely Farkhatin
STRING (Satuan Tulisan Riset dan Inovasi Teknologi) Vol 2, No 3 (2018)
Publisher : Universitas Indraprasta PGRI Jakarta

In principle, the development of information technology helps people to interact with others or surroundings. Further, with the change in technology providing simpler, more collaborative and more transparent communication and computer system to many people, it is also important for children to have skill in computer that they can learn effectively. Counting skill has been introduced to kindergarten, creating various counting methods to help teachers and parents to teach it. However, the methods will not be effective without the use of application system in a learning process because every student is unique that he needs different way of learning. A more decisive matter is the parent’s understanding about how the children learn and what their way of learning is. Based on the description above, it is necessary to provide a learning media in the form of application which can draw children’s interest and facilitate children’s learning process with a play-based learning concept applied beyond the formal learning time in which this media can be flexibly used. This research is conducted by applying android-based counting software at kindergarten in Jagakarsa.

Implementasi Metode Simpleks dalam Penentuan Jumlah Produksi untuk Memaksimasi Keuntungan Qhory Riana AlVonda; Firra Dinni; Destryan Dyah Saputra; Ira Puspita; Ilham Falani; Elfitria Wiratmani
STRING (Satuan Tulisan Riset dan Inovasi Teknologi) Vol 4, No 1 (2019)
Publisher : Universitas Indraprasta PGRI Jakarta

Permasalahan dalam perencanaan produksi pada PT KBDTI dapat dipandang sebagai model linear programming, dengan tujuan untuk menentukan jumlah produksi untuk masing-masing varians sehingga diperoleh keuntungan yang maksimal. Perencanaan produksi yang dimodelkan tersebut tentu harus mempertimbangkan kendala-kendala yang dihadapi perusahaan. Perlu adanya metode yang tepat dalam pencarian solusi linear programming. Salah satunya adalah metode simpleks. Metode Simpleks merupakan salah satu metode yang tepat untuk digunakan pada linear programming yang memiliki variabel lebih dari dua dengan fungsi kendala yang kompleks.Kasus yang terjadi pada PT KBMDI yaitu perusahaan ingin memiliki laba optimal dari setiap varians produk, laba yang diperoleh dari varians ekstrak buah dengan mempertimbangan semua keterbatasan yang ada. Pengolahan data metode simpleks untuk linear programming pada penelitian ini dilakukan dengan bantuan QM for Windows. Berdasarkan hasil perhitungan menggunakan software QM For Windows terjadi peningkatan keuntungan pada PT KBDTI dibandingkan sebelumnya.

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OAI Link

Editorial Team

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Reviewer

Google Scholar

Contact Name
Yuni Wibawanti

Contact Email
stringinformatika@gmail.com

Phone
+6281617239740

Journal Mail Official
stringinformatika@gmail.com

Editorial Address
Prodi Teknik Informatika FTIK Universitas Indraprasta PGRI Jl. Raya Tengah Kelurahan Gedong , Pasar Rebo, Jakarta Timur

Location
Kota adm. jakarta selatan,

Dki jakarta

INDONESIA

Abstract

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Home Page

OAI Link

Editorial Team

Contact

Reviewer

Google Scholar

Contact Name Yuni Wibawanti

Contact Email stringinformatika@gmail.com

Phone +6281617239740

Journal Mail Official stringinformatika@gmail.com

Editorial Address Prodi Teknik Informatika FTIK Universitas Indraprasta PGRI Jl. Raya Tengah Kelurahan Gedong , Pasar Rebo, Jakarta Timur

Location Kota adm. jakarta selatan, Dki jakarta INDONESIA

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Contact Name
Yuni Wibawanti

Contact Email
stringinformatika@gmail.com

Phone
+6281617239740

Journal Mail Official
stringinformatika@gmail.com

Editorial Address
Prodi Teknik Informatika FTIK Universitas Indraprasta PGRI Jl. Raya Tengah Kelurahan Gedong , Pasar Rebo, Jakarta Timur

Location
Kota adm. jakarta selatan,

Dki jakarta

INDONESIA