Article Per Year (5 Year)
p-Index From 2021 - 2026
10.349
P-Index
This Author published in this journals
All Journal Jurnal Media Infotama Jurnal Pseudocode Jurnal Informatika Upgris Sistemasi: Jurnal Sistem Informasi Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) PROCESSOR Jurnal Ilmiah Sistem Informasi, Teknologi Informasi dan Sistem Komputer JE (Journal of Empowerment) JSAI (Journal Scientific and Applied Informatics) Journal of Technopreneurship and Information System (JTIS) Progresif: Jurnal Ilmiah Komputer Jurnal Pengabdian Masyarakat Bumi Raflesia Jurnal Mnemonic JATI (Jurnal Mahasiswa Teknik Informatika) Journal of Empowerment Community Jurnal Teknik Informatika (JUTIF) Journal of Applied Computer Science and Technology (JACOST) Prima Abdika: Jurnal Pengabdian Masyarakat Djtechno: Jurnal Teknologi Informasi Jurnal Abdimas Serawai Decode: Jurnal Pendidikan Teknologi Informasi Jurnal Teknoif Teknik Informatika Institut Teknologi Padang Jurnal Informatika Teknologi dan Sains (Jinteks) Jurnal Media Computer Science JIMAKUKERTA Innovative: Journal Of Social Science Research Jurnal INFOTEL GEMBIRA (Pengabdian Kepada Masyarakat) JPMTT (Jurnal Pengabdian Masyarakat Teknologi Terbarukan) Jurnal Al-Maun Abdi Reksa Jurnal Pengabdian Masyarakat Tekno JuTISI (Jurnal Teknik Informatika dan Sistem Informasi) Jurnal Komputer, Informasi dan Teknologi
Toyib, Rozali
Unknown Affiliation
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Civil Engineering, Building, Construction & Architecture 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 Mathematics Nursing Public Health Social Sciences Other

Published : 103 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 103 Documents
Search

 5   6   7   8   9 
Penerapan Algoritma Colussi Dalam Mencari Data Aki Di Toko “Dunia Aki” Berbasis Web Toyib, Rozali; Muntahanah, Muntahanah; Marhalim, Marhalim; Dani, Aliman
Jurnal Media Infotama Vol 20 No 1 (2024): April 2024
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v20i1.5677

Abstract

Sales information system provides information to manage the sale of products/services generated by the store. Sales service becomes crucial as competition between stores intensifies. Therefore, the development of sales information systems to facilitate consumer service continues to evolve. The development of web-based sales information systems provides convenience for stores in continuous online sales service. Web media also serves as a means for the store to achieve strategic goals. The advantage of web media lies in its broad and extensive reach. Additionally, the information presented can be detailed and up-to-date. Process analysis is based on a review of the sales system used by the store, utilizing the Colussi algorithm and depicted through IDEF, ERD, and URLs to illustrate the relationships between entities in the sales information system. The physical design of this sales information system is outlined using PHP programming language and MYSQL database. Based on the input-output design, this study provides an overview of a web-based sales information system capable of meeting store requirements
Klasifikasi Kualitas Buah SawitMenggunakan Metode Gray Level Co-occurrence Matrix Dengan Variasi Arah Obyek Ikhlasul, Ridho; Wijaya, Ardi; Veronica, Nuri David Maria; Toyib, Rozali
Jurnal Media Infotama Vol 20 No 1 (2024): April 2024
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v20i1.5679

Abstract

The harvest of fresh fruit bunches (FFB) from palm fruit is done with fruit that is of good quality, namely fruit that is dark red in color or has lots of knots, so that the quality of the palm oil produced increases. Low quality produced will of course further weaken competitiveness. Determining the quality classification of palm oil can be done through image processing techniques. Classification is the process of declaring a data object to one of the previously defined categories. Categorization of data sets can involve grouping them into similar types of classification or identifying similar characteristics across a number of observations. Classification is supported by the concept of pattern recognition, classifying the quality of palm oil products as categories produced. Efforts to achieve the expected quality standards by using quality control. This classification of palm oil is divided into quality classes, namely good and not good. Knowing the quality of palm oil is done by making an application for palm oil quality using image processing. There are quite a lot of methods used in image processing technology. One of them is the Gray Level Co-Occurrence Matrix (GLCM) method. Gray Level Co-Occurrence Matrix (GLCM) is a method used for texture analysis/feature extraction, feature acquisition is obtained from matrix pixel values, which have certain values ​​and form an angle pattern. Palm Fruit Quality Classification Using Gray Level Co-occurrence Matrix With Variations in Object Direction. It is hoped that this application can help determine the quality of palm fruit more easily and efficiently.
Klasifikasi Tingkat Kematangan Buah Nanas Berdasarkan Fitur Warna Menggunakan Metode K–Nearest Neighbor (KNN) Reswan, Yuza; Toyib, Rozali; Witriyono, Harry; Anggraini, Ani
Jurnal Media Infotama Vol 20 No 1 (2024): April 2024
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v20i1.5689

Abstract

This study aims to determine the extent to which the KNN algorithm is able to classify pineapple fruit based on color features with high accuracy and determine the best k value in the KNN algorithm to achieve optimal accuracy in the classification of pineapple maturity levels. In the process of classifying pineapple fruit manually by using the human eye is a very difficult thing to do. This is evidenced by the inconsistency and subjective nature that causes a low level of accuracy. Therefore, to increase the level of accuracy and reduce the subjectivity of the human eye, this research proposes an algorithm that can be used to classify the maturity level of pineapple fruit, namely with K-Nearest Neighbor based on the color of the skin on the fruit. The k value used in this research is 1, 3, 5, 7, and 9 to test the Euclidean distance search on images with a size of 300x300 pixels. The research conducted proves that with Euclidean distance k = 5 and k = 9 has a percentage value of 73%. Based on the level of accuracy, color features k = 5 and k = 9 show the best k value on the classification of pineapple ripeness level.
Classification Of Mobile Phone Purchases Based On Sales Transaction Data Using The Rule Based Reasoning Handayani, Sri; Toyib, Rozali; Wibowo, Sastya Hendri
Jurnal Media Computer Science Vol 3 No 2 (2024): Juli
Publisher : Fakultas Ilmu Komputer Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmcs.v3i2.6493

Abstract

Ordering goods to mobile distributors randomly without classifying the items that are in great demand by consumers is certainly very detrimental because it greatly affects the sale of goods, The solution to make it easier for shop owners to place orders to distributors in terms of selecting the type of goods that consumers are very interested in is by using an application using the method Rule Base Reasoning based on transaction data that has been done. Rule Base Reasoning is an expert system based on a set of rules that represent human knowledge and experience in solving complex cases and imitating human ability to make decisions and solve problems. Test results of the most sold cellphones are A12 as much as 97%, A1K 67%, Rodmin 8 Apro 53 and others ranging from 3% to 30%, Searching for similarity values ​​is enough to do for cases that have the same index as the new case, This system only stored in the database that has been provided and the input data received by the system is still limited.
Simulasi Pengaruh Bahaya Gadget Terhadap Anak SDN 48 Kota Bengkulu safitri, melinia; Marga Handayani, Kurnia; Arisandi, Vini; Darnita, Yulia; Muntahanah; Toyib, Rozali
Almaun: Jurnal Pengabdian Kepada Masyarakat Vol. 3 No. 1 (2024): Juni Vol. 3 No. 1 (2024)
Publisher : Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/almaun.v3i1.6273

Abstract

This research aims to simulate and analyze the impact of gadget dangers on children at SDN 48 Kota Bengkulu, utilizing a method that involves the socialization of gadget danger awareness through videos and PowerPoint presentations. With the phenomenon of children being increasingly influenced by excessive gadget use, this study focuses on potential health and behavioral effects such as fatigue, sleep disturbances, blurred vision, dizziness, and the use of inappropriate language. Additionally, this article discusses proposed solutions to mitigate these risks, specifically through the introduction of gadget dangers to the health and development of children. Keywords: Gadget dangers, children, health, child development, socialization
ANALISIS DAN PENGUJIAN JARINGAN 4G DAN 5G DALAM LAYANAN QUALITI OF SERVIS (QOS) MENGUNAKAN METODE DRIVER TEST Putra, Adeyansyah; Hendri Wibowo, Sastya; Toyib, Rozali; Darnita, Yulia
JATI (Jurnal Mahasiswa Teknik Informatika) Vol. 8 No. 5 (2024): JATI Vol. 8 No. 5
Publisher : Institut Teknologi Nasional Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/jati.v8i5.10932

Abstract

Penelitian ini berjudul Analisis dan Pengujian jarngan 4G dan 5G dalam layanan Qualiti Of Servis (QOS) mengunakan metode driver test untuk mengetahui kelayakan kecepatan akses internet sehinga dapat memberikan pertimbangan bagi user memandingkan kecepatan kenerja internet Studi ini bertujuan untuk membandingkan kinerja 4G dan 5G melalui metode drive test, yang merupakan pendekatan penting dalam mengevaluasi jaringan seluler di lapangan. Metode ini melibatkan penggunaan perangkat bergerak untuk mengukur parameter jaringan telkomsel seperti kecepatan unduh, kecepatan unggah, latensi, dan ketidakstabilan sinyal.Penelitian ini menggunakan data hasil drive test dari area tertentu, di mana keduanya, 4G dan 5G, tersedia.termasuk throughput data, keandalan koneksi, dan responsivitas jaringan. ini akan membantu memahami seberapa baik kedua teknologi dapat menyesuaikan dengan kondisi lingkungan sinyal juga dilakukan untuk memahami perbedaan dalam cakupan dan stabilitas sinyal antara kedua jaringan.
Implementasi Algoritma Analisis Sentimen pada Konten Interaktif Website Promosi Kearifan Lokal Adat Tabot Bengkulu Darnita, Yulia; Khakim, Ahmad Nuril; Toyib, Rozali; Wibowo, Sastya Hendri
Innovative: Journal Of Social Science Research Vol. 4 No. 6 (2024): Innovative: Journal Of Social Science Research
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/innovative.v4i6.16685

Abstract

Tabot adalah upacara adat tahunan yang diselenggarakan oleh masyarakat Bengkulu sebagai bentuk pelestarian kearifan lokal. Promosi kearifan lokal melalui platform digital, terutama website, menjadi penting untuk memperkenalkan dan melestarikan tradisi budaya. Website promosi adat Tabot Bengkulu, yang berisi konten interaktif seperti video, gambar, dan artikel, bertujuan menarik minat pengguna. Sentimen pengguna terhadap website ini penting untuk memahami tanggapan mereka. Algoritma analisis sentimen, yang mempelajari hubungan antara kata-kata dan sentimen, dapat digunakan untuk berbagai tujuan, termasuk analisis opini publik dan pemasaran, meskipun penggunaannya dalam konteks kearifan lokal masih terbatas. Metode yang digunakan dalam penelitian ini adalah metode Naive Bayes untuk klasifikasi sentimen. Data ulasan produk dikumpulkan dan diproses menggunakan teknik Pre-Processing seperti tokenisasi, Stemming, dan penghapusan Stopwords. Aplikasi yang digunakan untuk pengembangan sistem ini adalah Python dengan pustaka scikit-learn sebagai alat utama untuk implementasi algoritma Naive Bayes. Sistem dibangun dengan spesifikasi yang mencakup pengolahan data teks dan visualisasi hasil analisis sentimen. Hasil dari penelitian ini menunjukkan bahwa sistem klasifikasi sentimen otomatis yang dibangun dapat mengklasifikasikan sentimen ulasan produk dengan akurasi yang memuaskan. Sistem ini berhasil membedakan antara ulasan positif, negatif, dan netral. Analisis lebih lanjut menunjukkan bahwa metode Naive Bayes memiliki kinerja yang baik dalam klasifikasi sentimen dengan akurasi yang mencapai 67%. Sistem klasifikasi sentimen otomatis yang dibangun dalam penelitian ini mampu membantu dalam menganalisis sentimen. Dengan akurasi yang tinggi, sistem ini dapat menjadi alat yang efektif untuk memahami opini dan sentimen yang berkembang di dunia digital.
PENDAMPINGAN LINKS & MATCH SMK NEGERI 1 BUNGO BERSAMA DUNIA USAHA DAN INDUSTRI (DUDI) DALAM RANGKA PENGEMBANGAN SMK PUSAT KEUNGGULAN MENUJU INDUSTRI 4.0 Darnita, Yulia; Onsardi; Toyib, Rozali; Hendri Wibowo, Sastya; Muntahanah; Kharisma Hidayah, Agung; Yulia Darmi
Almaun: Jurnal Pengabdian Kepada Masyarakat Vol. 4 No. 2 (2024): Desember (2024)
Publisher : Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/almaun.v4i2.7224

Abstract

Permasalahan yang ditemui adalah masih minimnya sekolah-sekolah melakukan kerjasama dengan industri dan masih terbatas ruang lingkuk yang dilakukan yang hanya terbatas pada magang siswa dan pembelajaran dilakukan masih berpodoman pada kurikulum yang umum tanpa mempertimbangkan kebutuhan industri di sekitarnya atau skala nasional dimana penyerapan lulusan yang masih minim dikarenakan komptensi yang dibutuhkan dunia industri tidak sesuai dengan profil lulusan dan perlunya pelatihan kewirausahaan dan manjemen usaha kepada siswa-siswi untuk bekal mereka setelah lulus nanti. Solusi yang ditawarkan berupa pelaksanaan pendampingan kegiatan berupa pengembangan SMK berbasis Industri/Keunggulan wilayah antara : melakukan pemetaan kebutuhan industri, penyelarasan kurikulum dengan melaksanakan links and match bersama industry, workshop penyusunan modul RPL, magang guru dan guru tamu, pemetaan produk barang dan jasa sesuai dengan kebutuhan industri, pembelajaran kewirausahaan dan manajemen usaha. Kesimpulan : Hasil Pre Test/Post Test bisa dilihat memberikan respon sangat positif, menyatakan bahwa kegiatan memiliki respon positif 82%, Perlu peningkatan sumber daya manusia yang ada disekolah dengan mengirim/memberi kesempatan kepada staff dan guru untuk mengikuti pelatihan/workshop keluar yang berhubungan dengan kompetensi mereka dengan sering melakukan pelatihan ataupun workshop, Pendampingan juga dilakukan dalam bentuk monitoring dan evaluasi terhadap program yang terdapat dalam rencana aksi (action plan) yang sudah berjalan dan belum dan Pendidikan yang masih terkendala dan memberi solusi yang memungkinkan untuk dilaksanakan baik dalam waktu dekat atau untuk kedepannya sehingga program ini tercapai sesuai dengan tujuan awal dari program Sekolah Menengah kejuruan Pusat Keunggulan menjadi rule model dari jurusan yang di PKkan berguna untuk perbaikkkan bagi jurusan yang lain untuk menujuh Pusat keunggulan. Kata kunci: Links & match, Industri, Pendampingan, SMK Pusat keunggulan
Aplikasi Penjualan Fokus Komputer Menggunakan Bahasa Pemrograman PHP dan Metode Apriori Ramadhan, Arya Gilang; Pahrizal, Pahrizal; Wijaya, Ardi; Toyib, Rozali
Jurnal Media Infotama Vol 20 No 2 (2024): Oktober
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v20i2.6446

Abstract

Information technology-based sales applications have emerged as essential solutions for optimizing sales processes, tracking inventory, and understanding customer purchasing patterns. Fokus Computer Store offers a range of products, including computer components, laptops, as well as accessories such as mice, mouse pads, keyboards, USB drives, and other computer components. However, challenges arise in sales efficiency, where certain items tend to accumulate without being sold over extended periods, impacting the store's cash flow. Therefore, an application capable of providing product recommendations based on previous sales data becomes crucial in assisting the store in effective inventory management and maintaining a smooth cash flow. The Apriori method is one form of association rule in the field of data mining. Alongside Apriori, there are other methods within this category, such as Generalized Rule Induction and Hash-Based Algorithms. The Apriori method, being a proven effective algorithm for association analysis, will be employed to uncover potential hidden purchasing patterns within the store's transactional data. By analyzing customer purchase data, this application can identify relationships between frequently co-purchased products. The results of this analysis can be utilized to formulate product recommendations for customers, enhance cross-product sales opportunities, and support inventory management decisions. This application can serve as a point-of-sale system at Fokus Computer Store, with the ability to display the outcomes of the Apriori algorithm calculations based on the input sales data. Despite the application developed by the author having certain limitations, particularly in terms of user interface and data, the author anticipates receiving constructive criticism and suggestions to aid in refining the application for the betterment of its future iterations
ANALISIS DAN IMPLEMENTASI CITRA DIGITAL PADA BUKU ISHIHARA UNTUK MELIHAT TINGKAT BUTA WARNA Doni Fareza, Ahmad; Toyib, Rozali
JATI (Jurnal Mahasiswa Teknik Informatika) Vol. 8 No. 5 (2024): JATI Vol. 8 No. 5
Publisher : Institut Teknologi Nasional Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/jati.v8i5.11823

Abstract

Kemampuan membedakan warna adalah salah satu fungsi mata terpenting, tetapi tidak semua orang dilahirkan dengan kemampuan ini. Buta warna adalah kelainan mata yang membuat seseorang tidak dapat membedakan warna seperti orang normal. Kemampuan untuk membedakan warna adalah sesuatu yang Anda gunakan setiap hari, baik dalam pekerjaan Anda atau di tempat kerja Anda. Oleh karena itu, diperlukan solusi agar masyarakat dapat menentukan apakah mereka menderita buta warna. Tujuan dari penelitian ini adalah untuk membantu orang-orang sejak usia dini mengetahui secara cepat dan akurat apakah mereka menderita buta warna secara khusus karena memakai software matlab. Hasil dari penelitian ini mendapatkan hasil yaitu akurasi setiap citra atau sample penelitian dengan menggunakan metode k-means. Setiap citra mendapatkan akurasi yang bervariasi atau yang berbeda beda.
Co-Authors Abdullah, Dedy Abimanyu, Ageng Achmad Nurcholis, Ivan Affandi Mussa, Anitya Putri Afriandi, Rahmad Agung Prabowo Agusdi Syafrizal Agusdi Syafrizal, Agusdi Aldino Discrise Amartya Wayitno Andika Putra Anggraini, Ani Anugrah Ilahi, Puja Apridiansyah, Yovi Ar. Walad Mahfuzi Arisandi, Vini Aulia, Nica Beni Juanda Cahyo Saputra Cheka, Julyane Kevin Dandi Sunardi Dani, Aliman dany Adhi wibowo Darnita, Yulia Dedy Abdullah Dedy Agung Prabowo Dedy Prabowo Della, Della Rahma Deva, Alba Ragil Sutra Diatama, Pradika Dino Oktariandi Sopa Doni Fareza, Ahmad Egia Apriansyah Febriansyah, Muhammad Fransisco, Nochi Erfindo Gunawan Gunawan Gunawan Gunawan Guntur Alam Handayani, Sri Handoko, Reza Kharisma Hanif, Patri Harry Witriyono Hendri Jaya Hendri Wibowo, Sastya Heru Susanto Hesti Lestari hidayah, agung kharisma Hidayat, Mehadi Tri Hidayat, Muhammad Husni Hidayat, Roki Ikhlasul, Ridho ikram, Ridho Imanullah, Muhammad Intan Saraswati Pangumbaran Islan Wardiman Isnadia, Yusi Iwan Bustami Izhar Hazel Jay, Hendri Jaya, Hendri Joka Jasri Joshi, Jericko Vivaldo Juanda, Beni Juhardi, Ujang Khairullah Khairullah, Khairullah Khairunnisyah, Khairunnisyah Khakim, Ahmad Nuril Kharisma , Agung Kontesa, Ronaldo Kusnadi, Afrinando Kusnadi Lena Utami Luh Putu Ratna Sundari M Yoka Fathoni M. Imanullah, M. Imanullah Mahfuzi, A.R Walad Marga Handayani, Kurnia marhalim, marhalim Maria Veronika, Nuri David Miadsyah, Muhammad Milantiano , Milantiano Muhammad Iskandarsyah Muntahanah Muntahanah Muntahanah, Muntahanah Muthia Khanza Netra Ayu Nica Aulia Novrialdi, Tito Nur Faizin Nuri David Maria Veronika Nuri Veronika Onsardi, Onsardi Pahrizal, Pahrizal Pangumbaran, Intan Saraswati Pirdaus, M Sapta Pradika Diatama Puji Rahayu Putra, Adeyansyah Putra, Yebri Raflles, Richard Rahmadhini, Fira Rahmadona, Evita Ramadhan, Arya Gilang Rany Marantika Regiza Dara Lista Renaldi Renaldi Restite Kalera Retno Vinasti Reza Kharisma Handoko Rifqo, M. Husni Rika Rahmawati Riman, Gugi Walus Riri Rumbiyiani Ririn Apriza Ristontowi, Ristontowi safitri, melinia Sahputry, Feby Ayu Sastya Hendri Wibowo Sastya Hendri Wibowo Wibowo Sastya Wibowo Sismelindo, Febrian Sismelindo Sonia Marantika Sonita, Anisya Sugianto, Melani Sundari, Weti Surya Ade Saputera Susanto, Afensyah Teguh Wibowo Tito Novrialdi Tri Astuti ujang juhardi Veronica, Nuri David Maria Veronika, Nuri Wahyu Nugroho Wahyudi, Irvan Waluyo Wardana, Aryo Dwi wibowo, dany Adhi Wijaya, Ardi Wijaya, Nur Ade Wilio Papian Witriyono, Harry Yayang Kurniawan Yebri Putra Yudistira Yudistira Yulia Darmi Yulia Darnita yuliadarnita, yuliadarnita Yuza Reswan