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All Journal International Journal of Electrical and Computer Engineering Jurnal Media Infotama JSI: Jurnal Sistem Informasi (E-Journal) Jurnal Informatika dan Teknik Elektro Terapan Jurnal Informatika Upgris PROCESSOR Jurnal Ilmiah Sistem Informasi, Teknologi Informasi dan Sistem Komputer JSAI (Journal Scientific and Applied Informatics) Journal of Technopreneurship and Information System (JTIS) JATI (Jurnal Mahasiswa Teknik Informatika) Just TI (Jurnal Sains Terapan Teknologi Informasi) Djtechno: Jurnal Teknologi Informasi Jurnal Abdimas Serawai Jurnal Sistem Informasi Dan E-Bisnis Jurnal Ilmu Komputer Dan Informatika JIMAKUKERTA Jurnal Pengabdian Kolaborasi dan Inovasi IPTEKS Jurnal Pendidikan dan Pengabdian Masyarakat Jurnal Rekayasa Sistem Informasi dan Teknologi Setawar Abdimas JPMTT (Jurnal Pengabdian Masyarakat Teknologi Terbarukan) Riau Jurnal Teknik Informatika Jurnal Komputer, Informasi dan Teknologi
Yuza Reswan
Universitas Muhammadiyah Bengkulu
Religion Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Nursing Public Health Social Sciences Other

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Implementation Of Sequential Searching Algorithm In Car Sales E-Commerce Web Yuza Reswan; Yulia Darnita; A.R. Walad Mahfuzhi Mahfuzhi; Elviani Elviani
Jurnal Komputer, Informasi dan Teknologi Vol. 4 No. 1 (2024): June
Publisher : Penerbit Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/jkomitek.v4i1.1807

Abstract

The sequential searching algorithm is an algorithm that performs a search by matching the data to be searched with all the data in a group of data in a sequential manner starting from the first data until the data can be found. The development of information and communication technology has brought significant changes in various aspects of life, including in the world of commerce. E-commerce has become a popular platform for carrying out buying and selling transactions, including car sales. Selling cars via e-commerce offers many benefits for buyers and sellers. For buyers, e-commerce provides easy access to a wide selection of cars at competitive prices. For sellers, e-commerce expands their market reach and allows them to reach more customers. However, as the number of products available on e-commerce websites increases, finding the desired product becomes increasingly difficult. This can cause frustration for buyers and result in decreased sales. This research aims to discuss the implementation of sequential search algorithms on car sales e-commerce websites. This algorithm is expected to help buyers find the car they want more easily and quickly, thereby increasing buyer satisfaction and increasing sales for sellers.
Perbandingan Metode Naive Bayes dan Bayesian Regularization Neural Network Untuk Klasifikasi Jenis Penyakit Diabetes Mellitus Filda Rahayu; Erwin Dwika Putra; Yuza Reswan; Agung Kharisma Hidayah
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.v5i2.2985

Abstract

Diabetes Mellitus is associated with long-term damage, dysfunction, and failure of various organs, especially the eyes, kidneys, nerves, heart, and blood vessels. Naive Bayes is a classification method that can predict the probability of a class, thus generating decisions based on learning data. The Naive Bayes method is used to classify Diabetes Mellitus. To predict a disease using a data mining approach, symptoms accompanied by clinical data are required. Therefore, the problem is formulated how the Naive Bayes method compares with Bayesian regularization neural networks for classifying types of Diabetes Mellitus. With the RapidMiner tool, it becomes educational information in providing information on Diabetes Mellitus based on Type 1 Diabetes, Type 2 Diabetes, and Gestational Diabetes
Analysis of Face Detection with Head Accessories Using Haar Cascade in Image Processing Heru Susanto; Yuza Reswan; Nuri Veronika; Rozali Toyib
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.v5i2.3146

Abstract

This research is entitled Analysis of Face Detection With Accessories On The Head Using Haar Cascade In Image Processing. The problem faced is how accurate the haar cascade algorithm is in detecting faces with accessories on the head, whether the haar cascade algorithm can still detect faces even though there are accessories that are felt around the face, therefore a study was conducted on face detection with accessories on the head using the haar cascade algorithm in several facial conditions such as facial angles and in several lighting conditions in the detection process. This study aims to analyze the accuracy of the haar cascade algorithm in detecting faces with accessories on the head, whether haar cascade can still detect faces even though there are accessories around the face that block, and 20 facial data sets were taken with a real-time laptop camera. The facial data obtained was taken in several places such as campus areas, houses and boarding houses and with various lighting conditions. From 20 face data taken in real time, researchers obtained 2 face data that were not detected due to poor lighting when taking face data and obtained 18 face data that were successfully detected even though using accessories around the face and it is certain that haar cascade has very good accuracy in detecting faces even though they were blocked by accessories. The testing methods applied are precision, recall and accuracy for calculating the results obtained. The results of the study obtained a precision of 100%, recall 90% and accuracy of 90%.
Pendampingan Penguatan Kapasitas Kelembagaan RKDD Desa Wisata Rindu Hati Sri Indarti; Meilaty Finthariasari; Yuza Reswan; Titi Darmi; Novliza Eka Patrisia; Aditia Arjuansya; Okta Nadia; Linia Putri
JURNAL ABDIMAS SERAWAI Vol. 6 No. 1 (2026): Jurnal Abdimas Serawai (JAMS) - INPROSES
Publisher : Program Studi Administrasi Fakultas Ilmu Sosial dan Ilmu Politik Universitas Muhammadiyah Bengkulu 

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jams.v6i1.6000

Abstract

Program pengabdian masyarakat ini dilaksanakan di Desa Rindu Hati dengan tujuan memperkuat kapasitas kelembagaan Ruang Komunitas Digital Desa (RKDD) sebagai upaya mendukung pengembangan desa wisata tangguh bencana. Permasalahan yang dihadapi mitra adalah kelembagaan yang hanya berdiri secara administratif tanpa dokumen operasional, serta rendahnya literasi digital masyarakat dalam memanfaatkan teknologi untuk promosi wisata dan penyebaran informasi kebencanaan. Metode kegiatan dilakukan secara partisipatif melalui tahapan observasi, sosialisasi, pelatihan manajemen kelembagaan, pelatihan literasi digital, penerapan teknologi digital, serta pendampingan dan evaluasi. Sebanyak 17 peserta mengikuti kegiatan ini dengan hasil pre-test menunjukkan mayoritas peserta berada pada kategori rendah (58,8%) dan tidak ada yang mencapai kategori tinggi. Setelah intervensi, hasil post-test memperlihatkan peningkatan signifikan dengan menurunnya jumlah peserta kategori rendah menjadi 29,4% serta munculnya peserta kategori tinggi (23,5%). Produk kegiatan yang dihasilkan meliputi dokumen kelembagaan (struktur organisasi, tupoksi, SOP, rencana kerja), website RKDD sebagai pusat informasi digital desa, serta konten video promosi wisata. Hasil ini menunjukkan bahwa program pengabdian efektif dalam menjembatani kesenjangan kapasitas mitra dan memperkuat RKDD sebagai pusat informasi digital, promosi wisata, dan edukasi kebencanaan berbasis komunitas
Sistem Pendukung Keputusan Penyaluran Bantuan Pemerintah Menggunakan Algoritma Weigted Product Erlangga, Reno Septia; Reswan, Yuza
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.v18i1.1746

Abstract

One factor that is strongly suspected to have contributed to reducing the number of poverty in Indonesia is the existence of a social assistance program by the central government. The social assistance program provided by the government on a regular basis to the community is very helpful if the distribution is right on target. The distribution of government assistance in Lunjuk Village, Seluma Barat District, Seluma Regency is still carried out conventionally, namely by providing assistance to all residents who are considered poor by the staff on duty without going through a selection process first. The amount of assistance provided by the government is limited so that not all residents can get this assistance. To facilitate the process of grouping residents, we need a system that can provide the right conclusions based on predetermined criteria. One of them uses a decision support system application. A system that can provide conclusions on the priority of beneficiaries based on the data that has been inputted. The conclusion generated by the application requires the right method to be implemented into the system and one of them is the weighted product method which can provide optimal solutions in the rating system. 1. The Decision Support System for the Distribution of Government Assistance Using the Weighted Product Algorithm in Lunjuk Village was built using the PHP programming language and MySQL database. The application can provide a priority list of beneficiaries based on the calculation results of the Weighted Product Algorithm using criteria weight data and data from Lunjuk Village residents.
Perancangan Sistem Dalam Pengolahan Data Buah Sawit Berbasis Website Dengan Metode Object- Oriented Analysis And Design (OOAD) Program Studi Teknik Informstika Haikal, Ghepri; Pahrizal, Pahrizal; Reswan, Yuza; Juhardi, Ujang
Jurnal Media Infotama Vol 21 No 2 (2025): Oktober
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v21i2.9395

Abstract

Palm oil plantations play a vital role in supporting the rural economy, including in Tanjung Harapan Village, Kaur Regency. The process of buying and selling palm fruit by middlemen (toke sawit) is still largely conducted manually—from recording buyer data and purchase transactions to generating daily and monthly reports. This manual system often leads to problems such as data inconsistency, document loss, delayed reporting, and miscalculation during transactions. Therefore, an information system is needed to assist in managing data digitally, efficiently, and accurately.This research aims to design and develop a web-based palm fruit data management information system using the Object-Oriented Analysis and Design (OOAD) approach. The OOAD method was chosen to simplify the process of system analysis and design through various diagrams, including Use Case Diagrams, Class Diagrams, and Sequence Diagrams. The system was developed using the PHP programming language, MySQL database, and the CodeIgniter 4 framework. Its main features include managing buyer (toke) data, recording purchase transactions, generating daily and monthly reports, and printing reports.The results of the study show that the developed system functions effectively in helping palm fruit buyers manage transaction data digitally. It reduces recording errors, speeds up reporting processes, and improves work efficiency. Additionally, the OOAD approach proves to be effective in producing a well-structured system design that can be easily maintained and expanded in the future.
IDENTIFIKASI JENIS DAUN MENGGUNAKAN EKSTRASI FITUR Ahmad Nur Habibullah Chan; Yovi Apridiansyah; Yuza Reswan; Harry Witriyono
Journal of Technopreneurship and Information System (JTIS) Vol 8 No 3 (2025): Desember
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jtis.v8i3.10024

Abstract

Penelitian ini membahas implementasi dan evaluasi sistem identifikasi jenis daun menggunakan metode ekstraksi fitur berbasis pengolahan citra digital. Sistem dikembangkan menggunakan Graphical User Interface (GUI) Matlab dan melalui beberapa tahapan utama, yaitu pemrosesan citra, ekstraksi fitur, dan identifikasi. Dataset citra daun diproses dengan teknik pra-pemrosesan seperti cropping dan resizing untuk meningkatkan akurasi sistem. Metode ekstraksi fitur yang digunakan dalam penelitian ini meliputi analisis bentuk, tekstur, dan warna untuk membedakan jenis daun secara akurat. Hasil pengujian menunjukkan bahwa sistem ini memiliki tingkat akurasi sebesar 80%, presisi 90%, dan recall 86%. Hasil ini menunjukkan bahwa metode yang digunakan cukup efektif dalam mengidentifikasi jenis daun. Penelitian ini diharapkan dapat dikembangkan lebih lanjut dengan meningkatkan jumlah dataset dan menerapkan metode optimasi fitur yang lebih kompleks guna meningkatkan akurasi identifikasi.
Co-Authors A.R Walad Mahfuzi A.R. Walad Mahfuzhi A.R. Walad Mahfuzhi Mahfuzhi Abdullah, Dedy Achmad Rajes Adelia, Serlina Adesio, Lambardo Adinda Trisista Aditia Arjuansya Agus, Mat Ahmad Nur Habibullah Chan Anggoro, Leo Tri Anggraini, Ani Anggraini, Laura Anugrah Ilahi, Puja Aprialdi, Abid Apridiansyah, Yovi Ar. Walad Mahfuzi Arevo Syahputra Ari Satrio Wibowo Ariksa Abdul Lasin Arnoldi Arnoldi Baihaqi, Ikhwan Bobi Tri Yuliansyah cantika Cecep Saputra Dandi Sunardi Darnita, Yulia Dedy Abdullah Dedy Abdullah Dedy Agung Prabowo Dena, Yunita Meli Diana Diana Diana Diana Dyah Parmitha Pertiwi Eka Sahputra Elviani Elviani Elviani, Elviani Erlangga, Reno Septia Erwin Dwik Putra Evandra, Geri Melano Fajar Ramadianto Feby Ayu Sahputry Filda Rahayu Giova Giova Giova Giova Gunawan Gunawan Gunawan Gunawan Guntur Alam Haikal, Ghepri Handayani, Kurnia Marga Harry Witriyono Heru Susanto Hidayah, Aditia hidayah, agung kharisma Hidayat, Roki Imanullah, Muhammad Jayusta, Evan Jery Rohmadan Wahari Juansen, Monsya Juhardi, Ujang Khairullah Khairullah Khairullah khairullah Khairullah Khairullah Khairullah, Khairullah Kurnia Marga Handayani Laura Anggraini Leo Tri Anggoro Linia Putri M Taufik Ma'ruf M. Taufik Ma’ruf Mahfuzhi, A.R Walad Mahfuzhi, A.R. Walad Mahfuzhi, A.R. Walad Mahfuzhi Mahfuzi, A.R Walad marhalim, marhalim Marton Marton Ma’ruf, M. Taufik Meilaty Finthariasari Monsya Juansen Muhammad Husni Rifqo Muhammad Husni Rifqo Muhammad Imanullah Muhammad Immanullah, Muhammad Muhammad Soelaiman Rasyid Muntahanah Muntahanah Muntahanah, Muntahanah Nazuta Rolleys Novliza Eka Patrisia Nuri David Maria Veronika Nuri Veronika Okta Nadia Padli, Zeko Pagestu, Yolan Pahrizal Pahrizal, Pahrizal Paulina, Yanti Putra, Erwin Dwik Putra, Erwin Dwika Putra, Yonaldo PUTRI WAHYUNI R.S, Penti Septian Raffles, Richard Rajes, Achmad Rasyid, Muhammad Soelaiman Reza Julianti Ricardo, Ryo Rifqo, Muhammad Husni Ristontowi, Ristontowi Ronny Saputra Ronny Saputra, Ronny Rozali Toyib Ryo Ricardo Sahputra, Eka Sahputry, Feby Ayu Sahrudin, Sahrudin Sapitri, Tari Juita Seprianti, Widia simanjuntak, Yuliy Gusnitasari Sonita, Anisya Sri Indarti Sundari Sundari Surya Ade Saputera Syahputra, Arevo Tari Juita Sapitri Tirta Sari, Puput Titi Darmi Toyib, Rozali Trisista, Adinda Ujang Juhardi ujang juhardi Wahidah, Alifah Nur Wibowo, Ari Satrio Widia Seprianti Wijaya, Ardi Witriyono, Harry Yonaldo Putra Yulia Darmi Yunita Meli Dena Yusa Virginiawan Guntara