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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) 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 Komputer, Informasi dan Teknologi Jurnal Teknoif Teknik Informatika Institut Teknologi Padang 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)
Toyib, Rozali
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PENERAPAN METODE TOPSIS UNTUK PENERIMAAN BANTUAN SOSIAL DISABILITAS PADA DINAS SOSIAL KOTA BENGKULU Yuliadarnita, Yuliadarnita; Renaldi, Renaldi; Toyib, Rozali; Wijaya, Ardi
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.v20i1.5134

Abstract

So far, the quota of recipients of aid for the deaf is determined directly by the Social Service where this has an ineffective impact, such as there are people who deserve this assistance but cannot get it due to the limited quota of recipients and this also raises community perceptions due to the possibility of being affected by subjectivity in in determining the beneficiaries of assistance, so that it is not uncommon for efforts to distribute this assistance to have the potential to be very large not on target. A decision support system or Decision Support System (DSS) is a system that can assist in making decisions in an organization or company by applying methods that are appropriate to the areas of decision taken. Making decisions manually without the help of a SPK will result in an assessment that is not objective and does not appropriate. The TOPSIS method is a multi-criteria decision-making method by applying a weighted value to each criterion. The conclusion is that the computation is more efficient, the computational calculation is faster, and the decision-making method is faster. haven't made a perfect decision yet.
Penerapan Sectigo Positive Ssl Pada Pengamanan Web Site Khairullah, Khairullah; Rahmadona, Evita; Toyib, Rozali; Imanullah, Muhammad
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.v20i1.5606

Abstract

System security is the most important aspect in an information system, weak system security increases the risk of attacks that can cause system damage. One of the attacks that often occurs is an attack on a web server, this is because the web server is connected to the internet network and is accessed by many users widely, so the risk of attack increases. For example, the New Student Admission web site of Universitas Muhammadiyah Bengkulu, which manages data on prospective new students who have registered themselves. So that a web server security system is needed to avoid potential attacks and to increase data security. One method of securing a web server is by using the Secure Socket Layer (SSL). SSL is often used to secure communication between client and server. The stages carried out in this study are scanning web servers that have not used SSL and those that have used SSL. This research aims to determine the security of web servers and anticipate various potential attacks on web servers.
Aplikasi Kamus Pembelajaran Bahasa Jepang Pada Sistem Operasi Android Menggunakan Algoritma String Matching Knuth-Morris-Pratt Darnita, Yulia; Hidayat, Muhammad Husni; Toyib, Rozali; Wijaya, Ardi
Jurnal Media Infotama Vol 20 No 1 (2024): April 2024
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

As a globally advanced country, Japan attracts the interest of job seekers, especially from developing countries such as Indonesia. The primary motivation behind this interest is the opportunity to obtain better employment, higher income, and experience living in a culturally and linguistically different environment from their place of origin. One of the mandatory requirements for working in Japan is to have fluent Japanese language skills. However, challenges arise for prospective interns or job seekers who need to remain active in their current employment while awaiting their exam schedules or departure to Japan. To address this issue, a solution is needed that allows flexible Japanese language learning accessible anytime and anywhere, one of which is by creating an application that can be downloaded and installed on their smartphones. This application provides filtered Japanese vocabulary, eliminating the need for users to memorize all words like in conventional dictionaries, considering that some words may not be commonly used in daily situations. To enhance user convenience, the application is equipped with a word search function, facilitating the process of finding desired words. The search process in this application utilizes the Knuth-Morris-Pratt String Matching method, an efficient string matching algorithm for finding a specific pattern in a text. The application allows users to match inputted words with the available vocabulary database. This application is divided into two parts, namely the data input section and the output section used by users on their smartphone devices. The application provides various features to assist users in learning Japanese, such as vocabulary pages, conversations, and word searches. The use of the Knuth-Morris-Pratt (KMP) algorithm enables efficient and effective word searches in the vocabulary database. It is hoped that this application can help users in learning Japanese easily and effectively, both for academic and professional purposes.
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.
Co-Authors Abdullah, Dedy Abimanyu, Ageng Achmad Nurcholis, Ivan Afensyah Susanto Affandi Mussa, Anitya Putri Afriandi, Rahmad Afrinando Kusnadi Kusnadi Ageng Abimanyu Agung Prabowo Agusdi Syafrizal Agusdi Syafrizal Agusdi Syafrizal, Agusdi Aldino Discrise Amartya Wayitno Andika Putra Anggraini, Ani Anugrah Ilahi, Puja Apridiansyah, Yovi Ardi wijaya Arisandi, Vini Aryo Dwi Wardana 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 Doni Fareza, Ahmad Egia Apriansyah Fira Rahmadhini Fransisco, Nochi Erfindo Gunawan Gunawan Gunawan Gunawan Guntur Alam Handayani, Sri Handoko, Reza Kharisma Hanif, Patri Harry Witriyono Hendri Wibowo, Sastya Hesti Lestari hidayah, agung kharisma Hidayat, Mehadi Tri Hidayat, Muhammad Husni Hidayat, Roki Ikhlasul, Ridho ikram, Ridho Imanullah, Muhammad Intan Saraswati Pangumbaran Irvan Wahyudi Islan Wardiman Isnadia, Yusi Iwan Bustami Jay, Hendri Jaya, Hendri Joka Jasri Joshi, Jericko Vivaldo Juanda, Beni Juhardi, Ujang Khairullah, Khairullah Khairunnisyah Khairunnisyah Khairunnisyah, Khairunnisyah Khakim, Ahmad Nuril Kharisma , Agung Kontesa, Ronaldo Kusnadi, Afrinando Kusnadi Lena Utami Luh Putu Ratna Sundari M Yoka Fathoni M. Husni Rifqo M. Imanullah, M. Imanullah Mahfuzi, A.R Walad Marga Handayani, Kurnia marhalim, marhalim Maria Veronika, Nuri David Mehadi Tri Hidayat Miadsyah, Muhammad Milantiano , Milantiano Muhammad Febriansyah Muhammad Imanullah Muntahanah Muntahanah Muntahanah, Muntahanah Muthia Khanza Netra Ayu Nica Aulia Novrialdi, Tito Nur Faizin Onsardi, Onsardi Pahrizal, Pahrizal Pangumbaran, Intan Saraswati Pirdaus, M Sapta Pradika Diatama Puji Rahayu Putra, Adeyansyah Putra, Yebri Raflles, Richard Rahmad Afriandi Rahmadhini, Fira Rahmadona, Evita Ramadhan, Arya Gilang Rany Marantika Renaldi Renaldi Restite Kalera Retno Vinasti Reza Kharisma Handoko Rika Rahmawati Riri Rumbiyiani Ririn Apriza 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 wibowo, dany Adhi Wijaya, Ardi Wijaya, Nur Ade Wilio Papian Witriyono, Harry Yayang Kurniawan Yebri Putra Yudistira Yudistira Yulia Darmi Yulia Darnita Yulia Darnita Yulia Darnita yuliadarnita yuliadarnita yuliadarnita, yuliadarnita Yusi Isnadia Yuza Reswan