Article Per Year (5 Year)
p-Index From 2021 - 2026
13.055
P-Index
This Author published in this journals
All Journal Explore: Jurnal Sistem Informasi dan Telematika (Telekomunikasi, Multimedia dan Informatika) Jurnal Edukasi dan Penelitian Informatika (JEPIN) Fountain of Informatics Journal SainETIn Syntax Literate: Jurnal Ilmiah Indonesia Jurnal Teknik Industri : Jurnal Hasil Penelitian dan Karya Ilmiah dalam Bidang Teknik Industri Rang Teknik Journal Computer Based Information System Journal Jurnal Inovasi Hasil Pengabdian Masyarakat (JIPEMAS) JURIKOM (Jurnal Riset Komputer) JURTEKSI JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Bioedusiana: Jurnal Pendidikan Biologi J-Dinamika: Jurnal Pengabdian Kepada Masyarakat IJIES (International Journal of Innovation in Enterprise System) Tunas: Jurnal Pendidikan Guru Sekolah Dasar Edugama: Jurnal Kependidikan dan Sosial Keagamaan Mudir : Jurnal Manajemen Pendidikan Diakronika Jurnal Pendidikan dan Konseling Indonesian Journal of Electrical Engineering and Computer Science JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Journal of Computer System and Informatics (JoSYC) Paulus Journal of Accounting (PJA) Brahmana : Jurnal Penerapan Kecerdasan Buatan Jurnal Nasional Ilmu Komputer Jurnal Pengabdian Masyarakat Indonesia El-Ahli : Jurnal Hukum Keluarga Islam KLIK: Kajian Ilmiah Informatika dan Komputer Prosiding Konferensi Nasional PKM-CSR Akuntansi'45 Jurnal Puan Indonesia International Journal of Islamic Business and Management Review Jurnal Sains Informatika Terapan (JSIT) QISTINA: Jurnal Multidisiplin Indonesia Jurnal Ilmiah MEA (Manajemen, Ekonomi, dan Akuntansi) eProceedings of Engineering Jurnal Desain dan Analisis Teknologi Madani: Multidisciplinary Scientific Journal JURSIMA Warta LPM Jurnal Teknologi Pendidikan Jurnal Pengabdian Barelang SmartComp Jurnal Biologi Jurnal Sistem Informasi dan Manajemen Bulletin of Engineering Science, Technology and Industry Jurnal ilmiah teknologi informasi Asia Computer & Science Industrial Engineering Journal Prosiding Seminar Nasional Ilmu Sosial dan Teknologi (SNISTEK) Aksi Kita: Jurnal Pengabdian Kepada Masyarakat
Rahmat Fauzi
Telkom University
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Medicine & Pharmacology Nursing Physics Public Health Social Sciences Other

Published : 124 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 124 Documents
Search

 7   8   9   10   11 
PENERAPAN DATA MINING UNTUK ANALISIS POLA PEMBELIAN KONSUMEN DENGAN ALGORITMA FP-GROWTH PADA DATA TRANSAKSI PENJUALAN SPAREPART MOTOR Saputra, Eka; Fauzi, Rahmat
Computer Science and Industrial Engineering Vol 9 No 6 (2023): Comasie
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/comasiejournal.v9i6.7865

Abstract

The motorcycle repair shop is one of the factors that guarantees the comfort of using a motorcycle. Without a repair shop, riders will find it difficult to provide routine maintenance and repair their problem motorbikes. The data that has been collected is not only as archival data by the workshop but is utilized as data that is processed as information data that is used to increase sales of motor spare parts. This also has an impact on the utilization of existing sales transaction data because transaction data which is usually used as an archive causes accumulation of data whose benefits are not known, even though if the data is processed properly it can be useful as information used to make decisions in obtaining new knowledge about sales besides that it is difficult to make the right decision to determine the stock of goods based on spare part purchasing patterns, as well as the availability of repair shops in every corner of the city does not necessarily guarantee the comfort of motorbike users because there is no fast and accurate information. To get this information, it can be done using data mining techniques.
IMPLEMENTASI KEAMANAN JARINGAN MENGGUNAKAN PORT KNOCKING Mendrofa, Yuniaman; Fauzi, Rahmat
Computer Science and Industrial Engineering Vol 9 No 7 (2023): Comasie
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/comasiejournal.v9i7.7890

Abstract

Technological advancements continue to progress rapidly, allowing experts to enhance their knowledge across various industries, including health, network security, and others. PT Air Batam Hulu is a water company situated at Building A-WTP Moya Muka Kuning Jl. Letjend Supranto in Batam, responsible for managing the security of drinking water. However, the company's existing system is susceptible to data security breaches due to unauthorized hacking attempts. In addition, computer network systems face both physical and logical threats, such as Sniffer, Spoofing, Preaking, Remote Attack, Hole, Hacker, Cracker, and more. Among the current successful hacking attempts, UML sites, Malware, Trojans, Viruses, and port scanning are commonly encountered. To address security concerns, the company implements a security system called "port knocking," which involves opening or closing access to specific ports through the use of a firewall on network devices. This system works by sending certain packets or connections, including TCP, UDP, and ICMP protocols. To gain access to restricted ports, users are required to perform a "knocking" action by inputting the necessary rule beforehand. This ensures that only authorized users can access and use specific ports, enhancing data security and reducing the risk of unauthorized infiltration.
PENDEKATAN DATA MINING UNTUK MEMILIH PRODUK TERLARIS MENGGUNAKAN ALGORITMA NAIVE BAYES Rajagukguk, Hidup Perjuangan; Fauzi, Rahmat
Computer Science and Industrial Engineering Vol 9 No 7 (2023): Comasie
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/comasiejournal.v9i7.7892

Abstract

Technological advances today can be exploited to process data into more useful information. In data collection, information collection is especially useful to maximize profits and develop marketing strategies. One way to increase profits is by using data mining techniques to help business actors in making decisions about stocks, increased profits and more. The Matahari Department Store is the largest retail platform in Indonesia, one of the retail stores located in Batam is the Matahari Department store Nagoya Hill Batam. The transaction data on the store that is still processed does not use a method that causes the processing of product sales data to be less effective and less efficient. Seeing from the number of transactions, a system is needed to predict the sale of the best-selling product as long as it can determine the correct stock for the products sold and can increase the profit, sale and purchase of the product. This research was conducted with the aim of applying data mining methods using the Naive Bayes Classifier algorithm to select the best-selling products in the outlet of the Matahari Nagoya Hill Batam Department Store. By using the collected sales data, the system is expected to increase profits steadily and avoid shortages of product stocks. Through analysis using the Naive Bayes Classifier method, the study achieved an accuracy of 67% and obtained a bag sales result to be the best-selling sale during January 2023 through March 2023 with a sales percentage of 20%.
ANALISIS KEPUASAN KONSUMEN TERHADAP KUALITAS PRODUK MENGGUNAKAN ALGORITMA NAIVE BAYES Suwandi, Ahmad; Fauzi, Rahmat
Computer Science and Industrial Engineering Vol 9 No 7 (2023): Comasie
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/comasiejournal.v9i7.7921

Abstract

Current technological developments have brought changes to human lifestyles, such as lifestyle, selection of antic goods and communication equipment such as smartphones and other devices. Nowadays it is known that the collection of branded items is also a lifestyle trend such as bags, rings, clothes and other fashions. Batam as an industrial city encourages investors to invest in Batam, because Batam is the most strategic city and is an international trade route directly adjacent to Singapore. The problem that often occurs at PT Tas Import Sukses in serving consumers is that the goods sent are not on demand, so consumers suspect that the products traded do not have good quality. And if there is a problem, the company responds with a very slow time. The purpose of this study is to analyze consumer satisfaction with the quality of products at PT Tas Import Sukses using the Naïve Bayes method, to determine the level of consumer satisfaction with the quality of bag products. And the last is to find out the level of accuracy in determining product satisfaction and quality with the Naïve Bayes method. While the results of this study are that satisfaction is strongly influenced by the level of service, while the second order is product quality, where the average level of satisfaction accuracy using the naïve bayes algorithm is 91%, pression 89% and recall 88.33%.
IMPLEMENTASI DATA MINING DALAM PREDIKSI KEPUASAN BELAJAR SAAT PANDEMIC COVID MENGGUNAKAN ALGORITMA C 4.5 Siahaan, Asnija Elisabeth; Fauzi, Rahmat
Computer Science and Industrial Engineering Vol 9 No 8 (2023): Comasie
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/comasiejournal.v9i8.7949

Abstract

In 2020, the Covid-virus pandemic has spread throughout the world, including in Indonesia, of course affecting all aspects, especially the lives of Indonesian people, including education during the online learning process and the transition from face-to-face processes, of course, various obstacles arise including the lack of students understanding the teaching and learning process, and teachers who are unable to convey material optimally, that's why this online learning system requires the implementation of Data Mining to maximize learning and help related parties. The method used in this research is analysis and data mining. Analysis is an attempt to observe something in detail. things or things by outlining its constituent components or constituents for further study. Data mining, also known as knowledge, is one of the fields whose rapid growth is due to the high demand for added value from large-scale database batteries. From the research that has been done, it indicates that the decision tree can be a reference for schools in order to increase student and female learning satisfaction in the learning process, and based on the results of system testing it can be concluded that this application was successful in increasing student satisfaction in online learning during the covid pandemic. Data mining is used by the C4.5 algorithm to interest students in online learning during the corona virus.
RANCANG BANGUN SISTEM KENDALI OTOMATIS KELEMBABAN TANAH DAN SUHU LINGKUNGAN PADA TANAMAN BERBASIS ARDUINO Fikri; Rahmat Fauzi
Computer Science and Industrial Engineering Vol 10 No 2 (2024): Comasie
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/comasiejournal.v10i2.8471

Abstract

The design of an automatic humidity and temperature control device in a plant environment using the Arduino Uno R3 system is designed to make it easier to take care of plants. Plants are a source of human life, especially in agriculture. Things that are still less of a concern when caring for plants are the lack of attention to the humidity and temperature of the environment in plants because it can have an impact on the soil that becomes dry or arid and can have an impact on plants to wither or even die. In carrying out plant care, it is done by only watering twice a day manually and can even forget to water and also not pay attention to the temperature in the plant environment. So that in doing maintenance is very less effective and efficient, because it takes a lot of time. Furthermore, in facilitating the process of plant care, without having to water manually or carry out treatment directly to the plant. So the soil moisture sensor is used to measure the level of soil moisture and the LM35 sensor which functions to read the temperature around the environment around the plant, after the measurement results will be displayed on the LCD. So this research examines how to design automatic control of humidity and temperature in plants.
PREDIKSI SCAMMER PADA PLATFORM MEDIA SOSIAL DENGAN PENDEKATAN ANOMALY DETECTION Rahayu, Gayuh; RAHMAT FAUZI
Computer Science and Industrial Engineering Vol 10 No 3 (2024): Comasie
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/comasiejournal.v10i3.8513

Abstract

Peranan media sosial sangat berpengaruh dalam kehidupan digital ini. Begitu banyak kegiatan yang dibagikan langsung oleh sesama pengguna di media sosial, mulai dari kegiatan sehari-hari, mengungkapkan ekspresi, berjualan dan kegiatan lain yang berkaitan dengan media massa. Keuntungan dan manfaat dari media sosial banyak dirasakan oleh penggunanya, namun dibalik itu semua terdapat beberapa oknum yang menjadikan media sosial sebagai wadah dalam melancarkan aksinya untuk melakukan kejahatan digital atau scamming. Oleh karena itu, penelitian ini dilakukan agar dapat mengantisipasi hal tersebut terjadi serta menambah wawasan dan pengetahuan terutama kepada penguna media sosial untuk lebih waspada dan peduli terhadap keamanan software dan hardware yang mereka gunakan.
IMPLEMENTASI PERMAINAN EDUKASI PENGENALAN TATA SURYA UNTUK SMP DENGAN RPG MAKER MV MENGGUNAKAN METODE RULE-BASED Rilan Frizkiniki; Rahmat Fauzi
Computer Science and Industrial Engineering Vol 10 No 3 (2024): Comasie
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/comasiejournal.v10i3.8523

Abstract

Kurangnya sarana media pembelajaran tata surya untuk menunjang pembelajaran pada usia dini menyebabkan generasi muda saat ini mengalami kesulitan belajar materi pengenalan tata surya dan membuat pejaran jadi membosankan untuk dipelajari , tujuan dari penelitian ini adalah untuk mempermudah siswa dalam mempelajari tata surya dengan menggunakan media game sebagai sarana belajar dan mengaplikasikan algoritma rule based dalam game edukasi, pengenalan tata surya dengan engine game RPG Maker MV, metode yang digunakan adalah System Development Life Cycle (SDLC) yang memiliki empat tahapan yaitu analisis, desain ,pengkodean program dan pengujian, pengujian dilakukan dengan menggunakan pengujian black box , teknik pengumpulan data yang digunakan adalah observasi, studi pustaka, dan wawancara, hasil aplikasi game akan tersedia dalam bentuk aplikasi Android berekstensi APK. Hasil pengujian penelitian ini game berhasil menyampaikan informasi dan meningkatkan minat siswa dalam mempelajari pengenalan tata surya, dan pengenalan tata surya di dalam game pengenalan tata surya yaitu “Milky Way “.
DIGITALISASI SISTEM KOPERASI KARYAWAN DENGAN APLIKASI BERBASIS ANDROID DI PT CITRA TUBINDO TBK Yusuf, Baharudin; Rahmat Fauzi
Computer Science and Industrial Engineering Vol 11 No 3 (2024): Comasi Vol 11 No 3
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/comasiejournal.v10i3.9097

Abstract

Dewasa ini menuntut banyaknya perubahan. Suka ataupun tidak suka masyarakat dituntut agar dapat berapdatasi dengan zaman yang semakin canggih. Baik dalam dalam dunia nyata maupun dunia digital. Ditengah majunya industri 4.0 banyak aktifitas yang dilakukan dari jarak jauh. Hal ini terjadi sejak bumi diterpa wabah covid-19. Semua aktifitas yang melibatkan orang banyak dengan jarak berdekatan harus di hindari. Seperti meeting, belanja kebutuhan pokok, maupun olahraga yang dilakukan secara tim. Hal ini merupakan program dari pemerintah yang harus dilakukan demi mencegah penyeberan wabah covid-19 agar tidak semakin luas penyebarannya. Yang mana penyebarannya dapat melalui kontak fisik langsung, udara dalam ruangan, dan juga melalui benda yang digunakan lebih dari satu orang. Koperasi karyawan merupakan sebuah organisasi yang dibentuk dan dikelola oleh karyawan perusahaan, dimana pengurus dan anggotanya merupakan karyawan dari perusahaan itu sendiri. Banyak orang yang lebih memilih melakukan transaksi jual beli secara online setelah maraknya wabah covid-19. Para pengembang aplikasi berlomba-lomba membuat aplikasi baik mobile maupun web ditengah menigkatnya kebutuhan sebuah sistem yang dapat menunjang kegiatan manusia agar dapat dilakukan dari jarak jauh. Para pengembang aplikasi mendesign aplikasi nya semenarik mungkin agar dapat memikat para pengguna ditengah banyaknya persaingan aplikasi yang mendukung untuk berbelanja secara online. Digitalisasi sistem akan sangat membantu setiap orang yang ingin melakukan transaksi jual beli tanpa harus memakan waktu yang lama. Sistem ini berbentuk aplikasi berbasis Android agar mudah diakses melalui smartphone oleh karyawan. Android merupakan sistem operasi berbasis Linux dengan lisensi Apache 2.0 yang dirancang untuk perangkat layar sentuh seperti smartphone. Adapun sistem aplikasi ini dibangun dengan menggunakan framework flutter sebagai frontend & express JS sebagai backend.
PERANCANGAN APLIKASI GRAVIDA MENGGUNAKAN METODE AGILE BERBASIS WEBSITE Wafiq Azizah; Fauzi, Rahmat
Computer Science and Industrial Engineering Vol 12 No 2 (2025): Comasie Vol 12 No 2
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/comasiejournal.v12i2.9648

Abstract

This research aims to design and develop the Gravida application using the website-based Agile method. This application is designed to help increase efficiency in monitoring daily activities carried out by gravida, such as examination schedules, exercise, diet, and many more that were previously done manually. With this research, gravida activity data can be managed centrally and provide information that is easily accessible to health workers and gravida itself. System testing is carried out using the blackbox testing method to ensure that each feature developed is functioning properly according to user needs. The result of this study show that gravida application is able to provide an efficient and effective solution in managing pregnancy-related information. With this, Gravida application is expected to be a solution for maternity clinics, especially at the Yustina Midwife clinic, in improving work efficiency and service quality to Gravida
Co-Authors ., Nadia Abda Abda Abdi Sugiarto Abdul Azis Achmad Gabriel Glowdy Achmad Junaidi, Achmad Adami, M. Yarzuk Adi Purnomo Sidik Aditya Zhafir Dhiaulhaq Adityo Satrio Bagaskoro Afandi, Pedri Afandy, Benny Agif Hafizhan Ahmad Musnansyah AHMADI Alfanissa Annurullah Fajrin Ali Usman, Ali Amrizal Amrizal Anggia Arista Anggraini, Anggun Anshary, Faishal Mufied Al Arif Hernawan Arif Rahman Hakim Arista, Anggia Arrasyid Kamil Asti Amalia Nur Fajrillah AZRIANI, ERA Bagus Wijaya, Bagus Baharudin Yusuf, Baharudin Berlian Maulidya Izzati Berlian Maulidya Izzati Chotib, Moc Cut Nuraini Dede Erik Setiawan Dela Youlina Putri Desra Ayu Miranda Diah Sudiarti DickyZulkarnain Dita Pramesti Edy Hartono Eka Saputra Ekky Novriza Alam Elisa, Erlin Elisaman Hulu Ellbert Hutabri, Ellbert Endang Chumaidiyah Erni Yanti Natalia, Erni Yanti Faishal Mufied Al Anshary Faqih Hamami Fasya Dzul Fikri Akbar Febrian Wulandari Febriyani, Widia Fikri Finda Lisna Firdaus, Dede Wahyu Fitriyana Dewi Francisko Nainggolan, Francisko Nainggolan Fridolin Sarumaha Gayuh Rahayu Gifazil, Muhammad Hamdani, Reza Renggana Handra Tipa Handra Tipa Harman, Rika Harri Margono Hayati, Nanik Nur Helfenta, Helfenta Hidayanto, Khoirul Hilmi, Farhan Hutabri, Elbert Hutapea, Yuni Shantika I Made Dwima Gita Dirtana Inayah Dwi Utari Iqbal Santosa Irfan Darmawan Joel Rayapoh Damanik Juni Kristian Gea Khairil Anwar Krisna Dwi Permana Kuswandi, Brillian Adhiyaksa Limbong, Hot Albert MANIHURUK, RENI ALDA ARISTAWATY Mardianti, Fitri Maulana Purbaya, Andre Maulana, Fakhri Hassan Meldani Winata Mendrofa, Yuniaman Miftahuddin Miftahuddin Mochamad Hariadi Monice Monice Mudayanti, An Rini Muhammad Noor Muhammad Rafiadly Muhammad Ricky Chandra Dinata Muhammad Ricky Chandra Dinata Muhammad Trisna Firmansyah Muhammad Umar Muhammad Zikri Muhardi Saputra Muharman Lubis Nanda Jarti Narti Eka Putria Nasihudin, Muhammad Dimas Natasya Kusuma Putri Ngadi Kurniawan Nia Ambarsari Nofriani Fajrah, Nofriani Nopendri Nopendri Nopriadi Nopriadi Novelianty, Yusnani Nugroho, Angganto Nugroho, Anggianto Nuki Pratama Nurul Azwanti Olin Teresia Praditya Agung Laksmana Prafitasari , Aulya Nanda Pratiwi, Mariska Putri Primadona Putra Kang, Anugerah Putri Nurul Febrina Marbun Putri Pratiwi, Mariska Putri, Annie Mustika Putri, M.Kom, Anggia Dasa Rachmadita Andreswari Raden Henry Heriansyah Rahfy, Rahfy Rahma Arbiananda Fauziah Rahmi Berlianti Rajagukguk, Hidup Perjuangan Ramadhan , Audia Ditsya Ramadhan, Naufal Hanif Ramli, Muhammad Ayyub Ratna Sari Restiani, Lovi Ridwan, Ridwan Rilan Frizkiniki Riska Sintia Dewi Rivero Novelino Robertus Rotama Marbun Robita, Achmad Rozimin Rudi Syaf Putra Sahira Saidil Ambia Saputra, Ega Satria, ROBBY Satrio Wibowo Siahaan, Asnija Elisabeth Sihura, Esther Kristin Silalahi, Sukritno Sinung Suakanto Siregar, Elisa Basaria Soni Fajar Surya Gumilang SUGIYANTO Supeno Mardi Susiki Nugroho, Supeno Mardi Sutoyo, Edi Suwandi, Ahmad Tambunan, Wiridho Partuaon Thasya Ummul Kulsum Thea Anugrah Felicia Tien Fabrianti Kusumasari Tipa, Handra Tri Cahyo, Endar Pradipta Utari, Inayah Dwi Wafiq Azizah Wicaksono, Andhika Widia Wulandari, Febrian Yomima Viena Yuliana Yuliadi Yuliadi Yuliadi Yuliana Dewi Yulya Muharmi Yusran Yusran Yvonne Wangdra Zakky Al Attar Zebua, Ali M Zega, Martinus