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All Journal JSI (Jurnal sistem Informasi) Universitas Suryadarma Jurnal Ilmiah METADATA Jurnal Sains dan Teknologi ISTP JURNAL MITRA MANAJEMEN Jurnal Mahasiswa Informatika dan Desain (JURMASIN) Jurnal Bakti Dirgantara All Fields of Science Journal Liaison Academia and Sosiety
Betesda Betesda
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Religion Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Law, Crime, Criminology & Criminal Justice Mechanical Engineering Social Sciences Other

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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

Abstract

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.
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 : Fakultas Ilmu Komputer dan Desain - Unsurya

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.
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 : Fakultas Ilmu Komputer dan Desain - Unsurya

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. 
PENERAPAN ALGORITMA NAÏVE BAYES DALAM PERANCANGAN SISTEM INFORMASI GROUND REFUELLING PESAWAT BERBASIS WEB DI BANDAR UDARA HUSEIN SASTRANEGARA BANDUNG Cynthia Rahmawati; Betesda Betesda
JSI (Jurnal Sistem Informasi) Universitas Suryadarma Vol. 11 No. 2 (2024): JSI (Jurnal sistem Informasi) Universitas Suryadarma
Publisher : Fakultas Ilmu Komputer dan Desain - Unsurya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35968/jsi.v11i2.1236

Abstract

Based on previous observations by researchers, it was determined that there is a possibility of dishonesty/discrepancy between the number of refuelings and the quantity ordered. Therefore, it was necessary to carry out a system development cycle, commonly called SDLC (System Development Lyfe Cycle) in the digital form process. The results of the research show that the application of the Naïve Bayes Algorithm calculation obtained a Prior Probability result in a probability of success or P (success) of 6/10. Meanwhile, the likelihood probability value by taking into account the weather variable produces a high probability value when it is sunny on failure and rain on failure has the same value of ½, if done manually. Therefore, it is necessary to design a web-based system as a basis for the effectiveness of the ground refueling process and preventing data discrepancies, as well as storing documents or files properly. It is important to implement this digitalization into an airport's system, especially with regard to aircraft refueling at the airport, so that it facilitates the process of aircraft refueling and archiving data collection and the data obtained is more accurate.
SISTEM TRACKING REPORT BERBASIS WEBSITE PADA PT CARDIG INTERNATIONAL SUPPORT Betesda Betesda; Jehan Saptia Kurmia
JSI (Jurnal Sistem Informasi) Universitas Suryadarma Vol. 11 No. 2 (2024): JSI (Jurnal sistem Informasi) Universitas Suryadarma
Publisher : Fakultas Ilmu Komputer dan Desain - Unsurya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35968/jsi.v11i2.1244

Abstract

PT.Cardig International Support Textile Industry is  having problems,  the total lead time  delays due to the  production process because  of  no system  that  can  track and  report  stages of  the  production  process. Thus  requiring  a report tracking system  that can resolve the  production process of the  problem. The method  used is  an experimental method to design an information system by using uml diagrams to design object and php-mysql programming language for application creation. Results from this study is the creation of a tracking system application reports that the production process can reduce total lead time delay process production and can trace and report stages of production occurring so as to know which processes are having problems or experiencing delays. The control method for all existing orders is sufficient to meet the demand for product delivery times (Delivery On Time) to customers and the facilities used to control all existing orders are sufficient to support and optimal in their use, and the Tracking Report system can help overcome Lead Time and Delivery On Time problems.
SCIENTIFIC ARTICLE PLAGIARISM DETECTION USING THE QUADWORD APPROACH Hari Purwanto; Betesda Sinaga; Iswandir Iswandir; Mohamad Adila Rossa; Abdul Jamil
Jurnal Ilmiah METADATA Vol. 8 No. 1 (2026): Edition January 2026
Publisher : LPPM YPITI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47652/metadata.v8i1.936

Abstract

Plagiarism is defined as the act of taking or presenting another person's work as one's own, regardless of intent. This infraction can be substantiated when supported by robust evidence. Academic works are often targeted by plagiarism, as the constrained writing proficiency among undergraduate students may foster such occurrences. A principal preventive endeavor to mitigate plagiarism within academic works involves the deployment of plagiarism detection applications. A primary preventive measure to mitigate plagiarism in academic works is the utilization of plagiarism detection software. Third-party applications typically require the purchase of a license to optimally access their full features. Cognizant of this limitation, the author developed an alternative application, although its capabilities are restricted to the detection of internal manuscripts. The application engineered herein implements the Rabin-Karp algorithm, leveraging a quadword approach. The concept of the quadword itself incorporates a phrase-based technique, functioning by generating a collection or set comprising four consecutive words within the source text
Analisis Penerimaan Pengguna Terhadap Implementasi Chatbot Berbasis Kecerdasan Buatan (AI) pada Layanan Akademik Menggunakan UTAUT Dimpo Sinaga; Peniarsih; Betesda; Hari Mantik; Alciano G Gani
All Fields of Science Journal Liaison Academia and Sosiety Vol. 6 No. 2: Juni 2026 Part 2
Publisher : Lembaga Komunikasi dan Informasi Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58939/afosj-las.v6i2.1529

Abstract

Transformasi digital dalam pendidikan tinggi mendorong institusi perguruan tinggi untuk mengadopsi teknologi berbasis kecerdasan buatan guna meningkatkan kualitas layanan akademik. Salah satu inovasi yang berkembang adalah penggunaan chatbot berbasis Artificial Intelligence (AI) sebagai media pelayanan informasi akademik secara cepat, responsif, dan tersedia selama 24 jam. Penelitian ini bertujuan untuk menganalisis faktor-faktor yang memengaruhi penerimaan mahasiswa terhadap implementasi chatbot AI pada layanan akademik menggunakan model Unified Theory of Acceptance and Use of Technology (UTAUT). Variabel yang diuji meliputi Performance Expectancy, Effort Expectancy, Social Influence, dan Facilitating Conditions terhadap Behavioral Intention. Penelitian menggunakan pendekatan kuantitatif dengan metode survei terhadap 150 mahasiswa aktif. Pengumpulan data dilakukan melalui kuesioner skala Likert lima poin dan dianalisis menggunakan Structural Equation Modeling berbasis Partial Least Squares (PLS-SEM). Hasil penelitian menunjukkan bahwa seluruh variabel independen berpengaruh positif dan signifikan terhadap niat penggunaan chatbot. Performance Expectancy menjadi faktor paling dominan, diikuti Facilitating Conditions. Nilai R-Square sebesar 0,684 menunjukkan bahwa model mampu menjelaskan 68,4 persen variasi niat penggunaan sistem. Penelitian ini memberikan implikasi bahwa keberhasilan chatbot akademik sangat ditentukan oleh manfaat nyata, kemudahan penggunaan, serta dukungan infrastruktur yang memadai.
Co-Authors Abdul Jamil Al Afghani, Dhian Yusuf Al Din, Sayyid Jamal Alcianno G. Gani Cynthia Rahmawati Dimpo Sinaga Hari Bagus Mantik Hari Purwanto Hepi Nuryadi Iswandir Iswandir Jehan Saptia Kurmia kurnia, jehan Mohamad Adila Rossa Muryan Awaludin Peniarsih, Peniarsih Sendy Alfian Ramdani Tata Sumitra Yulisa Gardenia