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PENINGKATAN OPTIMASI SENTIMEN DALAM PELAKSANAAN PROSES PEMILIHAN PRESIDEN BERDASARKAN OPINI PUBLIK DENGAN MENGGUNAKAN ALGORITMA NAÏVE BAYES DAN PARICLE SWARM OPTIMIZATION Betesda Betesda
JSI (Jurnal sistem Informasi) Universitas Suryadarma Vol 7, No 2 (2020): JSI (Jurnal sistem Informasi) Universitas Suryadarma
Publisher : Universitas Dirgantara Marsekal Suryadarma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35968/jsi.v7i2.452

Abstract

Abstract- The development of increasingly advanced IT in the process of presidential elections. When the Presidential election of 2014 yesterday has a lot of people use the phrase does not educate inappropriate to be delivered among the public. Pros and cons indeed occur among people are so warm that they pour on the internet. This happens because when getting warm diperbincangan 2014 presidential election yesterday happened pengkubu-kubuan two candidates. Society can not adjust the development of IT process well. Naive Bayes is widely used for classification problems in data mining and machine learning for its simplicity and accuracy of classification impressive. Naive Bayes classifier has been shown to be very effective to solve the problem of large scale for text categorization with high accuracy. In addition to having many capabilities mentioned above, however this method has a drawback in the assumptions that are difficult to fulfill, namely the independence of the feature. Particle Swarm Optimization (PSO) is an evolutionary computation technique which is able to produce globally optimal solution in the search space through the interaction of individuals in a swarm of particles. PSO is widely used to solve optimization problems as well as the feature selection. Accuracy is generated on Naive Bayes algorithm amounted to 63.85% and AUC by 0523, while Naive Bayes and Particle Swarm Optimmization with an accuracy of 71.15% and the AUC of 0.600. It can be concluded that the application of optimization can improve the accuracy of 63.85% to 71.15%. Naive Bayes Model and Particle Swarm Optimization can provide solutions to the problems of classification review of public opinion news of the election in order to more accurately and optimally. Keywords:Public Opinion, Classification, Naive Bayes, Particle Swarm Optimization, Text Mining.
Rancang Bangun Sistem Penunjang Keputusan Promosi Kenaikan Jabatan Dengan Metode Analytical Hierarchy Proses (Ahp) Jehan Saptia Kurnia; Betesda Sinaga
JSI (Jurnal sistem Informasi) Universitas Suryadarma Vol 10, No 1 (2023): JSI (Jurnal sistem Informasi) Universitas Suryadarma
Publisher : Universitas Dirgantara Marsekal Suryadarma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35968/jsi.v10i1.1001

Abstract

Tercapainya tujuan perusahaan tidak hanya tergantung pada teknologi, tetapi tergantung pada manusia yang melaksanakan pekerjaannya. Kemampuan karyawan memberikan hasil kerja yang baik dalam memenuhi kebutuhan organisasi secara keseluruhan merupakan kontribusi dari kinerja karyawan. Kinerja dapat diketahui dan diukur melalui individu ataupun sekelompok karyawan yang telah mempunyai kriteria atau standar keberhasilan sesuai dengan yang ditetapkan oleh perusahaan. Salah satu upaya untuk meningkatkan kualitas kinerja karyawan dapat dilakukan dengan adanya kenaikan jabatan. Sistem pendukung keputusan (SPK) merupakan penerapan informasi yang ditujukan hanya sebagai alat bantu manajemen dalam pengambilan keputusan. Metode yang digunakan adalah Analytical Hierarchy Process (AHP) untuk pembobotan kriteria. Hasil dari sistem berupa perangkingan dari hasil perhitungan bobot pada kriteria. Hasil dari pengambilan keputusan dari Sistem Pendukung Keputusan ini dapat mempermudah dalam menentukan karyawan yang akan di promosikan untuk kenaikan jabatan.
Perancangan Sistem Penjualan Material Bangunan Pada Ud. Mulya Sentosa Bebasis Web E-Commerce Betesda Sinaga; Jehan Saptia Kurmia
JSI (Jurnal sistem Informasi) Universitas Suryadarma Vol 10, No 1 (2023): JSI (Jurnal sistem Informasi) Universitas Suryadarma
Publisher : Universitas Dirgantara Marsekal Suryadarma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35968/jsi.v10i1.1000

Abstract

The rapid development of information and communication technology at that time has spawned new innovation breakthroughs that are very beneficial to the community, including e-commerce. At present, only by accessing e-commerce through the Internet, we can view the goods we want, find out the details of the goods and transact with each one without being limited by time and distance. U.D Mulya Sentosa is one of the manufacturers engaged in the sale of building materials. The sales system at UD.Mulya Sentosa is still in the traditional way, where consumers have to go directly to the store to make purchases and know the product availability and the type of advertising only using word of mouth through the media, resulting in a limited sale and distribution of buildings on a large scale and reporting limitations. Based on the above problems, UD Mulya Sentosa developed a building material sales system based on web e-commerce. In creating this web e-commerce using the waterfall method, using the PHP programming language, the MySQL database and using the Visual Studio Code tool. The purpose of creating a web e-commerce based sales system is to provide promotional media for businesses so that sales marketing becomes broader and sales report management becomes more convenient.
SISTEM INFORMASI PENJUALAN PADA TOKO BUKU KRISTEN GRACIAS BERBASIS APLIKASI DESKTOP Betesda Betesda
JSI (Jurnal sistem Informasi) Universitas Suryadarma Vol 10, No 2 (2023): JSI (Jurnal sistem Informasi) Universitas Suryadarma
Publisher : Universitas Dirgantara Marsekal Suryadarma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35968/jsi.v10i2.1089

Abstract

ABSTRACTGracias Christian Bookstore is a Christian bookstore engaged in the sale of books, stationery, and items related to church needs or supplies. Christian Gracias Bookstore uses a manual recording system when carrying out the buying, selling, and making transaction reports that still use books. The use of a manual recording system in the purchasing process and the preparation of transaction reports greatly influences the Bookstore Report and also on customer satisfaction because customers now get receipts instead of receipts or receipts as usual. It is time for the Gracias Christian Bookstore to improve the system it uses, because a computerized information system is very useful for computerized and modern buyer receipts, and for the admin it is easier to make Transaction Reports to be reported to the Owner of the Gracias Christian Bookstore, and the owner of this Bookstore too has the right to have access rights to view every activity of Reports on the Purchase and Sale of Goods, and other Transactions. The research method used in making this proposal report is through direct observation at the research location, and the Waterfall method is a basic process that involves specification, development, validation, solutions, and represents as different processes such as requirements specification, software design, implementation, and testing. The system design will be explained in the proposed system procedure, the proposed system procedure will be implemented using UML, database design, proposed system interface design, proposed system configuration, proposed implementation, and blackbox testing. Implementation of information systems to satisfy customers, because currently customers get receipts in printed form, there are no blank bills written in pen, and especially Sales transactions can improve Bookstore performance by making it easier to process Sales transaction reports with a computerized system. Keywords: Sales Information System, Sales Notes, Sales Reports. 
PERANCANGAN SISTEM INFORMASI APLIKASI PENCARIAN STASIUN KRL JABODETABEK TERDEKAT BERBASIS ANDROID Betesda Betesda
JURNAL MITRA MANAJEMEN Vol 11, No 2 (2020): JURNAL MITRA MANAJEMEN
Publisher : JURNAL MITRA MANAJEMEN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35968/jmm.v11i2.483

Abstract

Abstract- Transportation has been long part of people life, especially for the urban. The transportation need not only applied for the local, Jakarta as a capital city must be full of foreigner either for business purpose or others, and they are need a public transportation as well. Commuter Line Jabodetabek is the most preferable public transportation to avoid Jakarta’s traffic. The idea is to create a mobile application system which could easily help Commuter Line Jabodetabek user to get the information about the existence of the nearest station. The application system is analyzed and designed with a mobile application development approach. Application developed with JAVA, IDE (Integrated Development Environment) used is Android Studio, and to determine the nearest distance using Google Maps API. This application is equipped with mileage information and detailed station information so that station seekers can easily and accurately determine the nearest station and route to the station. Keywords: Commuter Line Jabodetabek, Train Station, JAVA, Android Studio.
ANALISA SENTIMEN DATA ULASAN PADA GOOGLE PLAY DENGAN MENGGUNAKAN ALGORITMA NAÏVE BAYES DAN SUPPORT VECTOR MACHINE Betesda, Betesda; Purwanto, Hari; Nuryadi, Hepi; Sinaga, Dimpo; Al Din, Sayyid Jamal; Al Afghani, Dhian Yusuf
Jurnal Sains dan Teknologi ISTP Vol. 22 No. 01 (2024): DESEMBER
Publisher : LPPM ISTP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59637/jsti.v22i01.423

Abstract

Reviews on the Google Play website are an application's user ratings, which contain users' ratings and comments. Review data describes user sentiment towards the application according to the ratings and comments are given. In practice, there is often a discrepancy between the rating and the comments given, resulting in a biased sentiment, so it is necessary to analyze the review to find out the sentiment contained therein. The Naïve Bayes method and the Support Vector Machine can be one of the methods that are often used to carry out sentiment analysis, because they have a good level of accuracy in the sentiment analysis process. In collecting data from the Google Play site using the Web Scraping technique with the google- play-scraper package from Python. Reviews that are successfully scraped then go through the preprocessing stage so that the data set is more structured. In the next stage, the data set is labeled based on the rating, and given a weight using TF-IDF. After classifying using the Naïve Bayes and Support Vector Machine methods, then evaluating using the confusion matrix, and validating using K-Fold Cross Validation. Research results using the Naïve Bayes method and Support Vector Machine for sentiment analysis on the Google Play website, the Naïve Bayes method produces 87.82% accuracy, 58.90% precision, 60.08% recall, while the Support Vector Machine method produces 90% accuracy .01% , precision 61.89%, recall 60.18%.
Pelatihan Teknologi Berbasis Multimedia Untuk Meningkatkan Kompetensi Siswa SMK Muhammadiyah 15 Jakarta kurnia, jehan; Betesda; Dimpo Sinaga; Alcianno Ghobadi; Tata Sumitra; Muryan Awaludin
Jurnal Bakti Dirgantara Vol. 2 No. 2 (2025): Jurnal Bakti Dirgantara
Publisher : Universitas Dirgantara Marsekal Suryadarma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35968/j44qvn80

Abstract

Bidang Desain Komunikasi Visual (DKV) saat ini berkembang pesat di sektor profesional dan pendidikan. Di Indonesia, perkembangan ini menunjukkan dinamika yang cukup kompleks, khususnya di pendidikan kejuruan. Salah satu tantangan yang dihadapi adalah rendahnya kompetensi siswa dalam multimedia, terutama pengembangan game, seperti yang terlihat di SMK Muhammadiyah 15 Jakarta. Kegiatan pengabdian kepada masyarakat ini bertujuan untuk meningkatkan pengetahuan dan keterampilan siswa dalam bidang multimedia pada kurikulum DKV. Program dirancang untuk mendukung pendidikan kejuruan melalui pelatihan berbasis teori dan praktik. Pelatihan dimulai dengan penyampaian materi dasar, dilanjutkan dengan praktik langsung menggunakan Construct 2, hingga tahap publikasi game secara daring. Kegiatan ini memberikan pengalaman langsung kepada siswa dalam seluruh proses pembuatan game, dari perancangan hingga implementasi. Hasil evaluasi menunjukkan 66,7% siswa sangat setuju bahwa pelatihan bermanfaat, dan 33,3% menyatakan setuju. Program ini juga memperkenalkan materi multimedia baru yang belum diajarkan sebelumnya, sehingga berkontribusi pada peningkatan kualitas pembelajaran dan kompetensi siswa. Dengan demikian, lulusan SMK diharapkan lebih siap menghadapi tuntutan industri kreatif saat ini.   The field of Visual Communication Design (VCD) is currently experiencing rapid growth in both professional and educational sectors. In Indonesia, this development presents a complex dynamic, particularly in vocational education. One key challenge is the limited student competence in multimedia, especially in game development, as observed at SMK Muhammadiyah 15 Jakarta. This community service initiative aims to enhance students' knowledge and skills in multimedia within the VCD curriculum. The program supports vocational education through a combination of theoretical and practical training. The sessions begin with basic theoretical instruction, followed by hands-on practice using Construct 2, and conclude with the online publication of the developed games. The activity provides students with direct experience throughout the game development process, from design to implementation. Evaluation results show that 66.7% of students strongly agreed that the training was beneficial, while 33.3% agreed. The program also introduced new multimedia content previously unavailable in the school’s curriculum, contributing to improved learning quality and student competence. Consequently, vocational school graduates are expected to be better prepared to meet the demands of today’s creative industries.    
SISTEM INFORMASI KERJASAMA PADA PT. BAKTI ARTHA REKSA SEJAHTERA Sendy Alfian Ramdani; Betesda; Yulisa Gardenia
Jurnal Mahasiswa Informatika dan Desain Vol. 2 No. 2 (2025): Jurnal Mahasiswa Informatika dan Desain
Publisher : Fakultas Ilmu Komputer & Desain

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35968/wyysk128

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PT. Bakti Artha Reksa Sejahtera, sebuah perusahaan jasa keamanan terkemuka di Indonesia, menggunakan sistem informasi kerjasama berbasis model waterfall untuk meningkatkan efisiensi pengelolaan data dan koordinasi operasional. Sistem ini memungkinkan berbagai departemen untuk mengakses dan mengelola informasi secara efektif, termasuk data layanan keamanan, penugasan tenaga kerja, dan operasional harian. Dengan sistem informasi kerjasama, PT. Bakti Artha Reksa Sejahtera dapat memastikan bahwa informasi penting selalu akurat dan up-to-date, yang esensial untuk menjaga kualitas dan keandalan layanan keamanan yang diberikan. Sistem ini juga mendukung komunikasi yang lebih baik antara perusahaan dan mitra, memungkinkan respons yang cepat terhadap kebutuhan keamanan mereka. Hal ini tidak hanya meningkatkan efisiensi internal tetapi juga memperkuat hubungan dengan mitra, menjaga standar pelayanan yang tinggi. Pengelolaan data yang terstruktur dalam sistem ini membantu dalam pelaporan dan analisis yang lebih baik, yang penting untuk pengambilan keputusan strategis. Dengan demikian, PT. Bakti Artha Reksa Sejahtera dapat memberikan layanan keamanan yang handal dan terpercaya, sesuai dengan visi dan misinya.