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KALBISIANA Jurnal Sains, Bisnis dan Teknologi
Published by UNIVERSITAS KALBIS
ISSN : 23386088     EISSN : 29881676     DOI : https://doi.org/10.53008
Core Subject : Economy, Science, Social, Engineering,
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Industrial & Manufacturing Engineering Social Sciences
KALBISIANA Jurnal Sains, Bisnis dan Teknologi adalah jurnal akses terbuka akademik yang bertujuan untuk mempromosikan integrasi sains, bisnis dan teknologi. Fokusnya adalah menerbitkan makalah tentang sains, bisnis dan teknologi. Makalah yang dikirimkan akan ditinjau oleh komite teknis jurnal. Semua artikel yang dikirimkan harus merupakan artikel asli, hasil penelitian yang sebelumnya tidak pernah dipublikasikan, eksperimental atau teoritis, dan akan ditinjau oleh reviewer. Artikel yang dikirimkan ke jurnal harus memenuhi kriteria ini dan tidak boleh sedang dipertimbangkan untuk publikasi di tempat lain. Naskah harus mengikuti gaya jurnal dan dapat ditelaah dan diedit.
Arjuna Subject : Bisnis, Menejemen, dan Akutansi (semua kategori) - Menejemen Teknologi dan Inovasi
Articles 523 Documents
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Pengembangan Aplikasi Web Pencarian Pasangan Untuk Kucing Alya Quinta Aqilah
KALBISIANA Jurnal Sains, Bisnis dan Teknologi Vol. 8 No. 1 (2022): Kalbisiana
Publisher : UNIVERSITAS KALBIS

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Abstract

The purpose of this research is to produce a web-based mate search application for cats experiencing estrous cycles. The software development method used in this research is the Rational Unified Process (RUP) with Unified Modeling Language (UML) modeling. This application is built on a web basis with the programming languages HTML, PHP, CSS, JavaScript, and uses MySQL as a database and CodeIgniter as a framework. The web-based partner search app for cats provides an alternative to partner search for cats experiencing an estrous cycle and having to mate. Searching for cat mates can be done by searching on an application connected to the internet and connected to the Global Positioning System (GPS), then the details cat information will appear along with the cat's location with a marker on the map which can reveal the cat owner's full address and also access to contact cat owners via WhatsApp. Based on the UAT test, the results of this study are proven to be used as an alternative application in the process of finding a partner for cats experiencing an estrous cycle. The result of this research is a match search web application for cats.
Alih Bentuk Kalimat Non-Formal Menjadi Kalimat Formal Menggunakan Pendekatan Machine Translation Nathanael Rezaputra; Yulius Denny Prabowo
KALBISIANA Jurnal Sains, Bisnis dan Teknologi Vol. 8 No. 1 (2022): Kalbisiana
Publisher : UNIVERSITAS KALBIS

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Abstract

This research aims to apply the Long Short-Term Memory algorithm to the conversion of informal sentences into formal sentences using Indonesian sentences. Development of LSTM model application software to convert informal sentences to formal sentences in this study uses the incremental method. The BLEU evaluation determines whether or not the predicted sentence is accepted by measuring the closeness of the context of the formal sentence from the dataset. This research produces a website-based application. The conclusion obtained is that the training model that is built produces accuracy and loss values with a value of 0.7011 and 3.7401. Based on these results, an assessment of the training model is not good enough. This is due to several factors that cause the model training to experience overfitting.
Pendeteksian Sepeda Motor Yang Melintasi Trotoar Menggunakan Algoritma YOLOv3 Eric Loudwyck; Yulia Ery Kurniawati
KALBISIANA Jurnal Sains, Bisnis dan Teknologi Vol. 8 No. 1 (2022): Kalbisiana
Publisher : UNIVERSITAS KALBIS

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Abstract

Indonesia ranks 10th as the most congested city in the world. To reduce traffic, private vehicle users have to switch to public transportation. When using public transportation, walking on the sidewalk is a common thing. However, the condition of pedestrian sidewalk sometimes become uncomfortable because there is a motorcyclist who crosses it due to traffic jams. This study aims to develop an application that can detect motorbikes crossing the sidewalk. So, it expects to reduce the number of motorcycle riders crossing the sidewalk. The method used in this study is YOLOv3 in the process of identifying motorcycles. The results of this study are software that can detect motorbikes crossing the sidewalk. By using YOLOv3, motorcycle detection can be carried out and produce video output with an average of 4 fps.
Pengembangan Typing Game sebagai Sarana Melatih Meningkatkan Kecepatan Mengetik Berbasis Desktop Muhammad Arsa Adilla; Paramaresthi Windriyani
KALBISIANA Jurnal Sains, Bisnis dan Teknologi Vol. 8 No. 1 (2022): Kalbisiana
Publisher : UNIVERSITAS KALBIS

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Abstract

This research enacts the fast typing via gaming platform. There are four menu options; "Start": will commence the session, "How to Play": is the instructional gameplay guide, "Credits": lists the sources of assets that were used to create the game, "Exit": closes the application. Synopsis: Player will control a spaceship that destroys incoming asteroids. Typing words correctly, will preserve the ship.The Game Development Life Cycle (GDLC) method, was used to produce the game. The GDLC method consists of an initiation stage regarding early game concept, pre-production staging that examines the game application creation process. This game was developed using Unity2D software. Two types of tests were conducted. A Functionality Test, showed the game operating at an optimal level. A User Experience Test outcomes demonstrated, improved user typing speed. Result of this research is through Windows operation based application in .EXE file format.
Pengembangan Aplikasi Kegiatan Donor Darah Berbasis Android Sonia Lassmayda; Ester Lumba
KALBISIANA Jurnal Sains, Bisnis dan Teknologi Vol. 8 No. 1 (2022): Kalbisiana
Publisher : UNIVERSITAS KALBIS

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Abstract

The purpose of this study is to produce an application for searching information on android-based blood donor activities. This blood donor application is made for donors who lack information about blood donor activities and also those who want to organize blood donor activities. Blood donor activities submitted by the organizers will get a response from the admin first, and blood donor activity information will be made which will give donors information on blood donor activities. The development method used in this study is the Rational Unified Process (RUP) using the Unified Modeling Language (UML) system modeling. This application was built with Android Studio software using the Java programming language, XML, also CodeIgniter framework using the PHP programming language and using the MySQL database. The final result of this study is the application of android- based blood donor activities.
Pengembangan Gim Edukasi 2D Pengenalan Prosedur Keberangkatan Internasional di Bandara Soekarno-Hatta, Tangerang Jimmy Dharmawan; Paramaresthi Windriyani
KALBISIANA Jurnal Sains, Bisnis dan Teknologi Vol. 8 No. 1 (2022): Kalbisiana
Publisher : UNIVERSITAS KALBIS

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Abstract

The purpose of this research is to create a delivery medium in the form of a 2-dimensional educational game with the Android platform that can introduce simple procedures and a brief facilities for international departures at Soekarno-Hatta Airport in Tangerang. The method used for game development in this study is GDLC (Game Development Life Cycle). The GDLC method has 6 stages which consists of initiation that discusses the determination of game types and concepts, pre-production that discusses the prototype game, a production that discusses the development of the game, a trial that discusses the functional testing of the game, a beta that discusses testing by an external party, and a release. The results of this study are 2-dimensional educational games with APK file formats that can be run on Android smartphones.
Pembuatan Aplikasi Penawaran Perangkat Dengar Musik untuk Komunitas Audio Kere Hore Berbasis Android Leonardo Halasantua; Henri Septanto
KALBISIANA Jurnal Sains, Bisnis dan Teknologi Vol. 8 No. 1 (2022): Kalbisiana
Publisher : UNIVERSITAS KALBIS

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Abstract

The purpose of this research is to create an application for offering online music listening devices in the Kere Hore Audio Community based on Android. The online music listening device offering application provides freedom to members in the Kere Hore Community to offer music listening devices through a mobile application using an android smartphone. Bidding can be made by entering the bid nominal for the items available in the offer. The tools will be available from members who have published the item to be offered. The software development method used in this research is RUP using UML modeling. This application is designed using Android Studio software with the Java programming language, PHP, Laravel Framework, and database structures using MySQL. The result of this application is an application offering an Android-based musical instrument hearing device.
Deteksi Ujaran Kebencian pada Komentar Instagram dalam Bahasa Indonesia Menggunakan Metode Recurrent Neural Network Hengky; Yulius Denny Prabowo
KALBISIANA Jurnal Sains, Bisnis dan Teknologi Vol. 8 No. 1 (2022): Kalbisiana
Publisher : UNIVERSITAS KALBIS

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Abstract

Hate speech is any form of communication that are provoking and bringing down a group or individual. The objective of this study is to create a model that can detect hate speech on Instagram comments in Indonesian language. The method used in this study is Recurrent Neural Network. This study produces a model that can detect hate speech with an accuracy
Pengembangan Model Pembelajaran Mesin Untuk Mengidentifikasi Nominal Uang Kertas Rupiah Menggunakan Algoritma CNN Dengan Library Keras I Made Gede Indra Mahendra
KALBISIANA Jurnal Sains, Bisnis dan Teknologi Vol. 8 No. 1 (2022): Kalbisiana
Publisher : UNIVERSITAS KALBIS

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Abstract

This study develops application to identify the value of rupiah banknotes. The rupiah banknotes used are the 2009 and 2016 issuances. The purpose of this study is to produce a machine learning model that can be used as a basis for identifying the value of rupiah banknotes and creating a GUI to be able to use its functions easily. The method used in this study is the Convolutional Neural Network. The results obtained are models that have a final value of training loss = 7%, training accuracy = 98%, validation loss = 33%, and validation accuracy = 93%. The finished model has also been tested and can identify new image data.
Penerapan Metode Convolutional Neural Network untuk Klasifikasi Motif Tenun Ikat Manggarai, Nage-Keo, dan Ngada Eno Maria Yohana Andriani; Yulia Ery Kurniawati
KALBISIANA Jurnal Sains, Bisnis dan Teknologi Vol. 8 No. 1 (2022): Kalbisiana
Publisher : UNIVERSITAS KALBIS

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Abstract

This study aims to develop a classification application of Flores woven from the Manggarai, Nage-Keo or Ngada areas using the Convolutional Neural Network (CNN) method. The software development process uses an incremental method. The data used in this study are images of Flores woven from the Manggarai, Nage-keo, Ngada, Ende and Maumere areas. Ende and Maumere woven images are used as comparative data to detect images that do not include Manggarai, Nage-Keo, and Ngada ikat weaving. This data will be extracted using the VGG16 model that has been trained with weights in the imagenet data to obtain characteristic values ​​in the form of a multidimensional matrix that can recognize colors, textures, etc. The results obtained in this study, the CNN algorithm can be applied to the classification of ikat motifs with a training precision of 99.87% and a validation precision of 98.66%.

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