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All Journal International Journal of Electrical and Computer Engineering Jurnal Media Infotama Jurnal Pseudocode Jurnal Informatika Upgris JSAI (Journal Scientific and Applied Informatics) Journal of Technopreneurship and Information System (JTIS) JATI (Jurnal Mahasiswa Teknik Informatika) Jurnal Teknik Informatika (JUTIF) Jurnal Abdimas Serawai Jurnal Multidisiplin Dehasen (MUDE) Jurnal Sistem Informasi Dan E-Bisnis Jurnal Ilmu Komputer Dan Informatika JIMAKUKERTA Prosiding University Research Colloquium Borobudur Informatics Review Triwikrama: Jurnal Ilmu Sosial JPMTT (Jurnal Pengabdian Masyarakat Teknologi Terbarukan) Journal of Technology and System Information Multidisciplinary Journals Jurnal Pengabdian Masyarakat Ilmu Komputer International Journal of Information Technology and Business Indonesian Journal of Guidance and Counseling: Theory and Application JuTISI (Jurnal Teknik Informatika dan Sistem Informasi) Jurnal Komputer, Informasi dan Teknologi Teknik: Jurnal Teknik Mesin, Elektro dan Ilmu Komputer
Sonita, Anisya
Teknik Informatika, Fakultas Teknik, Universitas Muhammadiyah Bengkulu
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Classification Of Accident Proposed Road Data Traffic In Bengkulu City Using K-Means Algorithm Muhammad Andre Anggara; Anisya Sonita; Muhammad Husni Rifqo; Ardi Wijaya
Jurnal Komputer, Informasi dan Teknologi Vol. 3 No. 2 (2023): Desember
Publisher : Penerbit Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/jkomitek.v3i2.1188

Abstract

A traffic accident is an event where a motorized vehicle collides with another object and causes damage. Traffic accident data at the Bengkulu City Police LAKA LANTAS (Traffic Accident) Unit is only used as data reporting where the accident data can actually help to reduce the number of traffic accidents by grouping to facilitate the police in proper handling efforts to reduce the number of traffic accidents. traffic accidents by classifying accident-prone roads. One of the approaches used in developing the clustering method is the K-Means Clustering method, where this method is a data grouping method that attempts to partition data into two or more groups (clusters) with the same characteristics into the same group. The results and discussion of the research obtained a system capable of classifying accident-prone roads using the k-means method. From the tests carried out this system can be used by the POLRESTA in helping these problems.
Application Of Data Mining Using The Naïve Bayes Classification Method To Predict Public Interest Participation In The 2024 Elections Marcelina Novi Zarti; Eka Sahputra; Anisya Sonita; Yovi Apridiansyah
Jurnal Komputer, Informasi dan Teknologi Vol. 3 No. 1 (2023): Juni
Publisher : Penerbit Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/jkomitek.v3i1.1192

Abstract

A big data processing process using a Data Mining technique that will be used in a study in the Application of Data Mining Using the Naïve Bayes classification to predict the participation of the Public Interest in the 2024 election. The data was obtained from the General Election Commission (KPU). The data was tested using the Naïve Bayes classification method with Weka Tools and 7 predetermined attributes. The dataset was taken as much as 96.67% of 11,406 training data, namely 2014 election data and 99.90% of 11,908 testing data, namely 2020 election data. Results It is known that the number of participants in Central Bengkulu Regency for the 2024 election based on participant data in 2020 and the 2014 election results is likely to increase by up to 3.23%, from 96.67% per 11,406 participants to 99.90% per 11,908 participants and the results predictions are likely to increase.
Party Equipment Rental Application Using Website-Based Notification M. Ari Adriansyah; Diana Diana; Anisya Sonita; Muntahanah Muntahanah
Jurnal Komputer, Informasi dan Teknologi Vol. 3 No. 2 (2023): Desember
Publisher : Penerbit Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/jkomitek.v3i2.1212

Abstract

This title of this reseach is Application of party Equipment Using Website-Based Notification. Karya Mandiri is one of the businesses engaged in services. Itoffers rental services for various kinds of products for weddings and other events. The problems that exist today are that the recording still uses a manual system, it has not taken advantage of technological sophistication by making consumers rent without having to come to the location.Basides recording the equipment availability is still not well organized. The research method applied was the System Development Life Cycle (SDLC) with the waterfall model method. Waterfall development itself has several stages in its development, including needs analysis, design, development, testing phase, and implementation in the real environment being expected to provide information about equipment rental to prospective tenants. Organized and clear applications are very important in the business world, especially in the rental business.
Human Object Counter Tracking Using Connected Component Labelling On Digital Image Processing Fitri Lestari; Erwin Dwik Putra; Anisya Sonita; Yulia Darnita
Jurnal Komputer, Informasi dan Teknologi Vol. 3 No. 2 (2023): Desember
Publisher : Penerbit Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/jkomitek.v3i2.1218

Abstract

Object tracking is usually used to determine the position of objects and environmental conditions around these objects. Objects that require supervision in order to run properly require a system to monitor the object. Every movement of the object will be known directly through the camera image. So in this study a system was created to detect and track objects. Implementing an object detection system based on image processing using the connected component labeling method. Then displaying the detection results on the divided image frame. Moving object detection and tracking The algorithm used to detect and track moving objects is connected component labeling. Based on the analysis of the workings of the connected component labeling algorithm for detecting and tracking moving objects using video, it can be concluded that the connected component labeling algorithm has succeeded in tracking and labeling each object based on the position and number of objects, even though they look erratic, in human movement.
Design And Build Door Security Using Fingerprint Ujang Juhardi; Dedy Abdullah; Anisya Sonita; Khairus Syah Handrawijaya
Jurnal Komputer, Informasi dan Teknologi Vol. 3 No. 2 (2023): Desember
Publisher : Penerbit Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/jkomitek.v3i2.1437

Abstract

Today's technology has undergone many developments, with the development of these technologies can be put to good use. One technology that is currently being developed is in the field of security. Especially in the field of Biometrics because there are two functions, namely identification and verification. Biometrics have characteristics that are not lost, cannot be forgotten, and are not easily faked. Its existence is very close to humans, and one another is not the same so that uniqueness and security can be guaranteed. One of the biometrics that is easy to use is fingerprint, because this fingerprint pattern has high security and the fingerprint pattern is also easy to use. In increasing security, fingerprints can be applied as house door locks, because everyone's fingerprints are different so security will increase and it is not easy to access. The purpose of this tool is made so that it can be applied in the community, with this tool homeowners do not need to carry a key and only require fingerprints, so as to reduce the risk of crime that is rife in the community.
Designing A Service Registration System at AHHAS Honda Ilham Motor Kepahiang Aji Setiyadi; Anisya Sonita; Yulia Darnita; A.R Walad Mahfuzhi
Jurnal Komputer, Informasi dan Teknologi Vol. 5 No. 2 (2025): Desember
Publisher : Penerbit Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/jkomitek.v5i2.2915

Abstract

In the automotive world, organized and efficient service registration services are very important to support workshop operations and improve customer satisfaction. This process includes recording customer data, service schedules, and the types of services required, so a system design is needed that can serve the motor vehicle service registration process and make it easier for customers to service their vehicles. This study aims to design and develop a digital-based service registration system prototype at AHHAS Honda Ilham Motor Kepahiang. The system is designed to replace the manual registration method previously used, which often caused long queues and inefficiency in managing service schedules. With this prototype, customers can register for service online, choose available schedules, and receive automatic confirmation notifications. The system also includes features for managing customer data and vehicle service history, which help the workshop improve operational efficiency. The implementation of this prototype is expected to provide a more comfortable experience for customers and support the workshop in addressing challenges in the digital era
IMPLEMENTASI ALGORITMA NAÏVE BAYES PADA PENGELOMPOKAN ASET FAKULTAS TEKNIK UNIVERSITAS MUHAMMADIYAH BENGKULU Lufti Amandha; Anisya Sonita
JSAI (Journal Scientific and Applied Informatics) Vol 3 No 3 (2020): November
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v3i3.1194

Abstract

Perkembangan teknologi informasi sangat berpengaruh dalam pengelolaan data dan penyampaian informasi bagi setiap instansi sehingga mempermudah dalam pengelolaan data yang diolah secara manual menjadi berbasis komputerisasi. Sehingga dengan adanya teknologi informasi yang digunakan dalam bidang pengelompokan atau inventaris aset barang-barang, setiap pencatatan dapat didokumentasikan sebagai barang bukti. Pada Fakultas Teknik Universitas Muhammadiyah Bengkulu juga menerapkan sistem sebagai pengelolaan data asset seperti computer, infokus dan printer, sebagai data inventaris.Dengan menerapkan algoritma Naïve Bayes diharapkan dapat mengetahui atau memprediksi data inventaris atau data aset yang ada. Teorema keputusan bayes itu sendiri adalah pendekatan statistik yang fundamental dalam pengenalan pola (pattern recoginition). Pendekatan ini didasarkan pada kuantifikasi antara berbagai keputusan klasifikasi dengan menggunakan probabilitas dan ongkos yang ditimbulkan dalam keputusan keputusan tersebut. Ide dasar dari bayes adalah menangani masalah yang bersifat hipotesis yakni mendesain suatu klasifikasi untuk memisahkan objek. Sehingga nantinya dalam pembuatan system pengelompokan data asset ini dapat mengetahui data asset yang ada pada Fakultas Teknik Universitas Muhammadiyah Bengkulu.
Klasifikasi Tingkat Kematangan Buah Matoa Menggunakan Metode PCA dan KNN Berdasarkan Warna RGB Rendika Efando; Anisya Sonita
JSAI (Journal Scientific and Applied Informatics) Vol 8 No 2 (2025): Juni
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v8i2.7851

Abstract

Matoa fruit or in scientific language Pometia Pinnata is a fruit that is quite popular and is spread in several regions. Matoa fruit has several benefits such as for health, processed drinks, and for consumption. However, up to now, matoa fruit farmers are still sorting the quality of ripe matoa fruit using methods that are still manual, which can cause errors and mistakes in sorting the quality of matoa fruit. Based on this problem, this research developed a system that is capable of classifying the maturity level of matoa fruit using RGB feature extraction and using the Principal Component Analysis (PCA) and K-Nearest Neighbor (KNN) methods. This research uses a dataset of 67 data, namely 42 training data and 25 test data consisting of 3 classes, namely raw, mature, and fully cooked. Data classification that applies KNN with the nearest neighbor value, namely K=3, gets an accuracy result of 92%, with 23 image being classified correctly and 2 image being classified incorrectly.
Perancangan Absensi Berbasis Qr Code Pada Balai Lingkungan Hidup Kota Tais Kabupaten Seluma Muhammad Rohman Dani; A.R. Walad Mahfuzhi; Anisya Sonita; Khairullah Khairullah
Journal of Technology and System Information Vol. 3 No. 1 (2026): January
Publisher : Indonesian Journal Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47134/jtsi.v3i1.5595

Abstract

Penelitian ini bertujuan untuk merancang sistem absensi berbasis QR Code pada Balai Lingkungan Hidup Kota Tais Kabupaten Seluma guna mempermudah pencatatan kehadiran pegawai honorer. Permasalahan yang dihadapi instansi adalah masih digunakannya sistem absensi manual menggunakan buku besar yang kurang efisien, rentan terhadap kesalahan pencatatan, serta menyulitkan dalam proses rekapitulasi data sehingga penilaian kinerja pegawai menjadi kurang optimal. Oleh karena itu, diperlukan sistem absensi yang lebih efektif, akurat, dan mudah dikelola. Metode penelitian yang digunakan adalah metode prototype yang meliputi tahapan perencanaan, analisis kebutuhan, perancangan sistem, pembuatan prototype, perbaikan, dan evaluasi. Sistem dikembangkan berbasis web dengan memanfaatkan teknologi QR Code sebagai media pencatatan kehadiran, di mana pegawai melakukan absensi dengan memindai QR Code yang digenerate oleh admin menggunakan perangkat yang tersedia, kemudian data absensi akan tersimpan secara otomatis dalam basis data. Hasil penelitian menunjukkan bahwa sistem absensi berbasis QR Code dapat berjalan dengan baik, mempercepat proses absensi, mempermudah pengelolaan data kehadiran oleh admin, serta menghasilkan laporan absensi secara otomatis dalam bentuk tabel maupun grafik. Selain itu, penggunaan QR Code dengan masa berlaku tertentu dapat membantu mengurangi potensi kecurangan dalam proses absensi. Dengan demikian, sistem yang dirancang mampu meningkatkan efisiensi, akurasi, dan transparansi dalam pengelolaan data kehadiran pegawai honorer di Balai Lingkungan Hidup Kota Tais Kabupaten Seluma.  
Implementasi Decision Support System Dengan Metode Topsis Untuk Pemilihan Laptop Pada Toko Thera Kom Curup Ade Ihza dwi Putra; Anisya Sonita
Jurnal Media Infotama Vol 18 No 1 (2022): April
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v18i1.1677

Abstract

ABSTRAK - Komputer merupakan alat elektronik yang terdiri dari rangkaian berbagai komponen yang saling terhubung sehingga membentuk suatu sistem kerja. Sistem pendukung keputusan (SPK) merupakan salah satu alat bantu yang dapat digunakan dalam pengambilan keputusan bagi pengambil keputusan. TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) merupakan salah satu metode pengambilan keputusan multikriteria yang didasarkan pada konsep bahwa alternatif yang terbaik tidak hanya memiliki jarak terpendek dari solusi ideal positif tetapi juga memiliki jarak terpanjang dari solusi ideal negatif. bagaimana menerapkan metode topsis untuk sistem pendukung keputusan pemilihan laptop pada toko thera kom curup. Manfaat penelitian ini adalah menghasilkan aplikasi yang dapat membantu pengguna dalam upaya menghasilkan penjualan yang lebih baik dan dapat membantu konsumen untuk memilih perangkat computer yang sesuai dengan kebutuhan. Diharapkan pengembangan aplikasi ini dapat menjadi referensi bukan hanya dunia penjualan melainkan juga untuk semua bidang dan semua kalangan sebagai perkembangan informasi teknologi
Co-Authors A.R Walad Mahfuzhi A.R. Walad Mahfuzhi Abdullah, Dedy Achmad Fariz Ade Ihza dwi Putra Adriansyah, M. Ari Adzan Ansyori Affandi Mussa, Anitya Putri Agung Kharisma Hidayah Aji Setiyadi Alan Andeka Amaliah, Asma Amandha, Lufti Andika Putra Anggraini, Laura ANJAYA RIDUANSYAH Anugrah Ilahi, Puja Apriance, Cici Apriansyah, Eko Saputra Apridiansyah, Yovi Aprilia, Vilda Ar. Walad Mahfuzi Arie Vatresia Arif Susanto Ayu Lestari Aziz, Dzakwan Ammar Beta Yuniarti Charles Roenal Krisubiyantoro Chindy Erliani Cici Apriance Darnita , Yulia Darnita, Yulia Dedy Abdullah Dedy Abdullah Dedy Agung Prabowo Deslianti, Dwita Deslianti, Dwita Devano Checario Diana Diana Diana Diana Diki Zulfahmi Dwita Deslianti Dwita Deslianti Eka Sahputra Eka Sahputra Eko Saputra Apriansyah Elni Mutmainnah Erwin Dwik Putra F Fraternesi Fadila, Aldevia Febrian Nurtaneo Fikri Ikbal P Fitri Lestari Fitri Lestari, Fitri Fraternesi, F Gilang Pramudia Fabriandi Handrawijaya, Khairus Syah Heni Sulusyawati hidayah, agung kharisma Ika Yurika Sari Imanullah, Muhammad Jefri Zulkarnain Jestika Safitri Juhardi, Ujang Khairullah khairullah Khairunnisyah Khairunnisyah Khairunnisyh Khairunnisyh Khairunnisyh, Khairunnisyh Khairus Syah Handrawijaya Kirman Kurnia Anggriani, Kurnia Laura Anggraini Lufti Amandha Lukman, Musfirah Putri M Faishal M Fakhrur Riozi M Khairunnas M Rafli Yudhatama M. Ari Adriansyah Marcelina Novi Zarti Marissa Utami MAYANG SARI Meilisa Tri Ulansari Miswanti Yuli Muhammad Andre Anggara Muhammad Fajri Muhammad Husni Rifqo Muhammad Husni Rifqo Muhammad Rohman Dani Muhira Dzar Faraby, Muhira Dzar Mukhlizar, Mukhlizar Muntahanah Muntahanah Muntahanah, Muntahanah Mustika Mustika Nofriansyah Praja Nurhayati Nurhayati Nurul Jannah Pahrizal Pahrizal Pahrizal Pahrizal, Pahrizal Pariza, Rahmat Pedro Ginal Victori Pedro Putra, Erwin Dwik Putra, Erwin Dwika Putri Dwi L Putri, Tiara Eka Raffles, Richard Rahmalia, Rahmalia Rahman Fadli Tanjung Rahmat Pariza Ramadhan Saputra Alpani Ramadhan Saputra Alpani Rendika Efando Reza Anisa Ria Elda Fitri RIDUANSYAH, ANJAYA Rifqo, Muhammad Husni Rinni Rio Eka Prayuda Rizki Fitrah Fardianitama Robian Kundari Ronaldo, Ronaldo Roni Karniawan Rossa Ayuni Rozali Toyib Sahputra, Eka Sirad, Mochammad Apriyadi Hadi sofyan sofyan Sri Ekowati Sri Handayani Sri Handayani sumardi Surya Ade Saputera Susi Hardianti Susilo Dwi Prabowo Syaputra, Weki Tanjung, Rahman Fadli Thaha, Sarma Tiara Ayu Lestari Toyib, Rozali Tri Putra, Bagus Ujang Juhardi Weki Syaputra widya kartika sari Wijaya, Ardi Witriyono, Harry Yoan Hadi Kusuma Admaja Yopita Syaputri Yuli Asmi Rahman Yulia Darmi Yulia Darnita Yuza Reswan Zahra, Syakira Az Zainove Sandi Zarti, Marcelina Novi