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All Journal Jurnal Teknik Informatika Bhakti Nagori (Jurnal Pengabdian kepada Masyarakat) Jurnal Ilmiah Sistem Informasi dan Ilmu Komputer Jurnal Penelitian Rumpun Ilmu Teknik Saber: Jurnal Teknik Informatika, Sains dan Ilmu Komunikasi Repeater: Publikasi Teknik Informatika dan Jaringan Saturnus: Jurnal Teknologi dan Sistem Informasi
Fajar Ratnawati
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Agriculture, Biological Sciences & Forestry Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Education Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media

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Sistem Pakar Identifikasi Ras Kucing Menggunakan Metode Forward Chaining Bagus Riandi; Fajar Ratnawati; Eva Yumami
Jurnal Penelitian Rumpun Ilmu Teknik Vol. 3 No. 3 (2024): Agustus : Jurnal Penelitian Rumpun Ilmu Teknik
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/juprit.v3i3.4250

Abstract

Cat breed identification is a complex process and requires an in-depth understanding of the physical and genetic characteristics of cats. In this study, a forward chaining method to identify cat breeds based on their morphological features. The forward chaining approach allows us to make logical and systematic inferences from the given facts. In this method, rules are built based on the common physical characteristics associated with each cat breed. These rules are then used to perform inference based on the given facts. This process is done iteratively until no additional rules can be applied. The results of this study show that the forward chaining method is effective in identifying cat breeds. By using the right features, cat breed identification has a high success rate. This method can be used as a tool for animal experts or cat lovers in recognizing cat breeds more accurately.
Perancangan Website Sistem Pakar Menentukan Tingkat Kemampuan dalam Public Speaking menggunakan Metode Extrime Programming Dila Anugrah; Fajar Ratnawati
SABER : Jurnal Teknik Informatika, Sains dan Ilmu Komunikasi Vol. 2 No. 4 (2024): Oktober : Jurnal Teknik Informatika, Sains dan Ilmu Komunikasi
Publisher : STIKes Ibnu Sina Ajibarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59841/saber.v2i4.1744

Abstract

This research presents an expert system using the extreme programming method to determine the level of ability in public speaking. Public Speaking is an important speaking skill in many fields, but it is often difficult for individuals to evaluate their ability. The extreme programming method is used to provide a reliable level of workmanship in the public speaking system. The expert system will provide recommendations in the form of solutions, or strategies that can help individuals improve their public speaking skills. individuals in improving their public speaking skills. The solutions provided will be adjusted to the individual's ability level, so as to provide effective knowledge. The trust method used is the certainty factor method. The results displayed are information about level of public speaking ability, the level of confidence of an expert along with solutions that can be done next by website users.
Sistem Pendukung Keputusan Penetapan Keringanan Uang Kuliah Tunggal Menggunakan Metode Oreste (Studi Kasus Politeknik Negeri Bengkalis) Zudya Fytya; Fajar Ratnawati
JEKIN - Jurnal Teknik Informatika Vol. 5 No. 1 (2025)
Publisher : Yayasan Rahmatan Fidunya Wal Akhirah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58794/jekin.v5i1.912

Abstract

Penelitian ini melakukan pembangunan Sistem Pendukung Keputusan (SPK) di Politeknik Negeri Bengkalis untuk menetapkan keringanan Uang Kuliah Tunggal (UKT) dengan menggunakan metode Oreste. UKT merupakan aspek penting dalam pendanaan pendidikan tinggi, yang terkadang menjadi kendala bagi mahasiswa yang memiliki kendala finansial. Untuk mengatasi masalah ini, SPK digunakan untuk membuat rekomendasi yang objektif dan adil untuk menilai keringanan UKT. Penelitian ini mengumpulkan data mahasiswa, yang digunakan untuk menentukan keringanan UKT. Data tersebut kemudian diperiksa menggunakan metode Oreste untuk menghasilkan saran yang tepat dan jelas. Hasil dari penelitian ini dapat membantu menetapkan kebijakan keringanan UKT yang lebih efektif dan efisien di Politeknik Negeri Bengkalis. Adapun hasil akurasi yang diperoleh dengan menggunakan metode Oreste pada SPK penetapan keringanan UKT sebesar 94%.
Implementasi Metode Mccall Pada Pengujian Kualitas Website Diskominfotik Kabupaten Bengkalis Nurul Aini; Fajar Ratnawati
Repeater : Publikasi Teknik Informatika dan Jaringan Vol. 2 No. 4 (2024): Oktober: Repeater : Publikasi Teknik Informatika dan Jaringan
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/repeater.v2i4.203

Abstract

The Communication, Informatics, and Statistics Agency (DISKOMINFOTIK) of Bengkalis is a government institution focused on information and statistics. One of the media used for information dissemination is the DISKOMINFOTIK Bengkalis website. The website of the Communication, Informatics, and Statistics Agency of Bengkalis District offers several information options such as the agency profile, work units, public information, agendas, announcements, contact details of DISKOMINFOTIK Bengkalis, as well as news published by DISKOMINFOTIK Bengkalis. Therefore, the DISKOMINFOTIK Bengkalis website is considered a significant medium for both the agency itself and the public. Hence, software quality becomes an important consideration as it directly affects the website's performance. For this reason, testing needs to be conducted on the DISKOMINFOTIK Bengkalis website. This research addresses 11 factors in McCall, namely Correctness, Reliability, Usability, Integrity, Efficiency, Reusability, Portability, Interoperability, Maintainability, Flexibility, and Testability. Testing is done in two ways: with testing tools and with questionnaires submitted to users and system developers. The results of testing conducted with questionnaires yield quality scores of Correctness 77,66%, Reliability 77,8%, Efficiency 79,01%, Integrity 77,31%, Usability 77,67%, Portability 77,31%, Maintainability 90%, Testability 90%, Flexibility 93,3%, Reusability 95%, Interoperability 90%, so the average quality is 84%.
Aplikasi Marketplace Penyewaan Mobil Berbasis Website menggunakan Metode Rapid Application Development Arfando Saputra; Fajar Ratnawati; Elvi Rahmi
Repeater : Publikasi Teknik Informatika dan Jaringan Vol. 2 No. 4 (2024): Oktober: Repeater : Publikasi Teknik Informatika dan Jaringan
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/repeater.v2i4.205

Abstract

Marketplace system is a means of meeting sellers and buyers online, in this case service providers and car renters. With this information system, renters no longer need to bother looking for the required car that matches the criteria, and service providers are also easier in marketing and expanding their marketing reach. This system was built using the RAD (Rapid Application Development) method of development which allows customers to place orders, select vehicles, eliminating complexity in the traditional process involving visits to rentals. In car rental services there are several problems that need to be resolved. First, there is no web-based information system service that makes it easy for customers to access car rental service company information. Second, conventional services are still fairly slow. Currently, reservations are made in two ways, namely coming to the place or contacting the telephone number on Whatsapp so that prospective tenants have to wait for a response from the rental provider to get information about prices and available cars. Therefore, a car rental information system is needed that specifically serves fleet rental with online booking to display transaction information in the form of car rental and return on the system dashboard to support strategic purposes. This research focuses on building a car rental information system using the PHP programming language with the CodeIgniter framework.
PENERAPAN E-LIBRARY DAN E-LEARNING UNTUK PENINGKATAN LITERASI DIGITAL DI SMKN 2 BENGKALIS Fajar Ratnawati; Agus Tedyyana; Danuri Danuri
BHAKTI NAGORI (Jurnal Pengabdian kepada Masyarakat) Vol. 2 No. 2 (2022): BHAKTI NAGORI (Jurnal Pengabdian kepada Masyarakat) Desember 2022
Publisher : LPPM UNIKS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36378/bhakti_nagori.v2i2.2632

Abstract

Literasi merupakan suatu kebutuhan terutama bagi dunia pendidikan termasuk SMKN 2 Bengkalis. Kegiatan literasi di SMKN 2 Bengkalis mengandalkan koleksi referensi di Perpustakaan dan ketersediaan bahan pembelajaran yang dirujuk oleh Guru secara individu. Terdapat dua hal utama yang diselesaikan oleh tim pengabdian yaitu penerapan aplikasi perpustakaan digital dan media pembelajaran daring melalui e-learning. Keadaan perpustakaan di SMKN 2 Bengkalis adalah belum tersedianya aplikasi perpustakaan, akses referensi di perpustakaan terbatas sesuai jam layanan, dan koleksi referensi dalam bentuk hardcopy serta media pembelajaran yang belum tersistem untuk kebutuhan secara daring. Tahapan pelaksanaan kegiatan pengabdian dimulai dengan menyelesaikan media pembalajaran secara daring dan dilanjutkan penerapan aplikasi perpustakaan secara bertahap. Luaran dari kegiatan pengabdian ini adalah terdaftar HKI, publikasi artikel pengabdian pada jurnal, ekspos kegiatan pengabdian di media massa onine, dan video dokumentasi kegiatan
PENINGKATAN SISTEM KEAMANAN DI LINGKUNGAN SMKN 1 BENGKALIS Fajar Ratnawati; Agus Tedyyana
BHAKTI NAGORI (Jurnal Pengabdian kepada Masyarakat) Vol. 3 No. 2 (2023): BHAKTI NAGORI (Jurnal Pengabdian kepada Masyarakat) Desember 2023
Publisher : LPPM UNIKS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36378/bhakti_nagori.v3i2.3241

Abstract

Peningkatan system keamanan di lingkungan sekolah dapat dilakukan dengan cara menerapkan smart cctv. Smart CCTV adalah teknologi kamera pengawas yang dilengkapi dengan sistem pengolahan data dan kecerdasan buatan. Dengan teknologi ini, kamera pengawas dapat mendeteksi dan mengidentifikasi objek atau perilaku yang mencurigakan. Penerapan Smart CCTV di lingkungan sekolah dapat dipasang di beberapa titik strategis seperti pintu gerbang, koridor, ruang kelas, dan area parkir. Selain itu, Smart CCTV juga dapat diintegrasikan dengan sistem alarm dan notifikasi otomatis sehingga petugas keamanan dapat segera merespon kejadian yang mencurigakan. Keamanan di lingkungan sekolah merupakan hal yang sangat penting untuk menjaga keselamatan para siswa, guru, dan karyawan. Dalam penerapannya, Smart CCTV dapat memberikan rasa aman dan nyaman bagi siswa, guru, dan karyawan di dalam lingkungan sekolah. Selain itu, Smart CCTV juga dapat membantu pihak sekolah dalam menangani dan mengidentifikasi pelaku kejahatan yang terjadi di lingkungan sekolah
Implementasi Metode SAW dan MABAC Pada Sistem Pendukung Keputusan Penerima Beasiswa Anak Tempatan Sari Misriana; Fajar Ratnawati
Saturnus : Jurnal Teknologi dan Sistem Informasi Vol. 2 No. 4 (2024): Oktober : Saturnus : Jurnal Teknologi dan Sistem Informasi
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/saturnus.v2i4.350

Abstract

The Bengkalis Regency Education Office (Disdik) provides Local Children's Scholarships to students in an effort to help students to alleviate the dependents of the Single Tuition Fee (UKT) in pursuing education. In determining the recipient of the Tempatan Children's Scholarship, the Education Office government carries out several stages manually such as collecting all the files of students who register, after which the Education Office checks the completeness of the student files one by one, gives a value for each predetermined criterion and manually calculates the value of the criteria. A decision support system for recipients of web-based Local Children's Scholarships is needed to help determine recipients of Local Children's Scholarships to be faster and more accurate. This system is made using the Simple Additive Weighting (SAW) method and Multi Attributive Border Approximation Area Comparison (MABAC) to facilitate the calculation and comparison of the value of each alternative in the system, by determining the ranking based on the largest value as the best alternative. The result of the application of the SAW and MABAC methods in the system is that the system displays alternative data sequentially based on rankings that can help in determining the recipient of the Local Children Scholarship. From 60 field data, the application of SAW and MABAC methods on this system has an accuracy of 83.3%. The development method used is the Extreme Programming method.
Analisis Sentimen Komentar Netizen di Twitter terhadap Keputusan Mahkamah Konstitusi pada Hasil Pemilihan Presiden 2024 Menggunakan Algoritma Naïve Bayes Via Laurenz; Fajar Ratnawati
Jurnal ilmiah Sistem Informasi dan Ilmu Komputer Vol. 5 No. 2 (2025): Juli : Jurnal ilmiah Sistem Informasi dan Ilmu Komputer
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/juisik.v5i2.1491

Abstract

This research is focused on assessing the public opinion of netizens on Twitter regarding the Constitutional Court's decision on the results of the 2024 Presidential Election by utilizing the Naïve Bayes classification algorithm. Twitter is the main social media platform that many people use to voice their opinions, including on political issues. Through the Naïve Bayes classification method, public opinion is divided into two main sentiments: positive and negative. This research began with the collection of comment data through the scraping process, then continued with the pre-processing stages of data which included case folding, tokenizing, normalization, stopword removal, and stemming. The processed data is then manually labeled to form training data. The Naïve Bayes model was trained using the training data, then tested using test data to evaluate the performance of the classification model. The results of the evaluation showed that the model had an accuracy rate of 90%, with precision and recall values in the positive class of 83% each. These findings show that the Naïve Bayes algorithm can effectively classify netizens' sentiments against the Constitutional Court's ruling. In addition, the classification results also show that netizens' opinions tend to be divided, with a slightly higher proportion of negative sentiments compared to positive sentiments. This study also enriches the methods used in digital sentiment analysis, especially in understanding public responses to political issues that develop on social media. The results of this study are expected to be a reference in data-based decision-making on public opinion, especially in the realm of public policy, political communication, and digital information management. Going forward, similar research could be further developed with different algorithms or with a wider scope of data to get a more comprehensive picture.
Co-Authors Agus Tedyyana, Agus Aini Nurul Arfando Saputra Bagus Riandi Danuri Danuri Dila Anugrah RAHMI, ELVI Sari Misriana Via Laurenz Yumami, Eva Zudya Fytya