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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 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) 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

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DATA MINING UNTUK PENGELOMPOKAN JENIS USAHA DI RUMAH BUMN BATAM MENGGUNAKAN METODE CLUSTERING Arif Hernawan; Fauzi, Rahmat
Computer Science and Industrial Engineering Vol 8 No 3 (2023): Comasie
Publisher : LPPM Universitas Putera Batam

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Abstract

Business actors in Indonesia are generally categorized into large businesses and small and medium enterprises or often known as UKM. There is one State-Owned Enterprise that has the role of gathering and encouraging UKM players to upgrade their classes to be more prosperous, namely Rumah BUMN Batam. The research objective is to classify the types of UKM based on the frequency of sales, so that later the company can carry out further promotions for UKM that get a low number of orders. The k-means clustering algorithm can be used by Rumah BUMN Batam to facilitate the grouping of types of business and the frequency of orders for UKM per year. The author uses the Knowledge Discovery in Database (KDD) process which consists of data cleaning, data integration, data selection, data transformation, data mining, pattern evaluation, and knowledge presentation.
IMPLEMENTASI DATA MINING DENGAN METODE CLUSTERING ALGORITMA K-MEANS UNTUK PENGELOMPOKAN DATA TILANG DI POLDA KEPRI MANIHURUK, RENI ALDA ARISTAWATY; Fauzi, Rahmat
Computer Science and Industrial Engineering Vol 8 No 3 (2023): Comasie
Publisher : LPPM Universitas Putera Batam

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Abstract

Every community relies on transportation, but drivers must follow the rules to be safe. There are several variables that lead many individuals to get ticketed, including the public's lack of knowledge and awareness of excellent, accurate, and safe driving standards, and the community's failure to check vehicle conditions and paperwork before traveling to avoid tickets during special operations (raids). This research examined two-wheeled drivers' traffic offenses in Batam City, an issue investigated by the author due to the numerous traffic offences that have disrupted the regulatory system thus far. The K-Means method clusters. Implementing the K-Means Algorithm to group traffic violation data helps the Riau Regional Police discover the most traffic infractions and the ticketing service department locate Batam traffic violation data groupings. The author will utilize a K-Means algorithm data mining approach to segment infractions thus far. Data analysis from the cluster, segregated by mopabudget type, degree of violation, and fine amount, yielded the findings of Cluster 0: 11 items 13. Cluster 2: 11 items from 35 data treated as sample data with performance vector; best clustering is 0.499. Keywords : Transport, Traffic Violation, Data Mining, K-Means Algorithm, cluster, RapidMiner
PENERAPAN PERBAIKAN KUALITAS PADA PROSES PRODUKSI RUBBER DI PT VALEO MENGGUNAKAN FUZZY ANALYTICAL HIERARCHY PROSES Silalahi, Sukritno; Fauzi, Rahmat
Computer Science and Industrial Engineering Vol 8 No 3 (2023): Comasie
Publisher : LPPM Universitas Putera Batam

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Abstract

In the era of technological and industrial development, the use of information technology developments is used in various ways including decision making within an organization or company. This research was conducted at a rubber production company in Batam City, namely PT. Valeo, the problem experienced by PT's production process is that there are many short molds in rubber production, so fuzzy logic is used regarding factors that must be maximized in the rubber production process so that the number of short molds produced is reduced. The method used is an analytical hierarchy process and professional application assistance, namely expert choice, with the aim or goal of improving the quality of rubber production at PT. Valeo, divided into 4 (four criteria) influencing factors, namely the operator does not follow the standards of chemical goods and dimensions with a criterion weight of 0.325, engine pressure with a criterion weight of 0.194, engine temperature with a criterion weight of 0.124, and chemical damage with a criterion weight of 0.356. The total criterion inconsistency value is 0.00137. The next level is the determination of solutions, there are 3 (three) solutions, namely operators with an alternative solution ranking of 0.418, machines with an alternative solution ranking of 0.182, and basic materials with an alternative solution ranking of 0.437. The results of testing using expert choice 11 software are that the solution factor that must be maximized is the basic material for making rubber to reduce shortmold with an alternative solution value of 42.5%, followed by operators 40.6% and machines 16.9%.
PENERAPAN DATA MINING PADA PENJUALAN PRODUK ELEKTRONIK Primadona, Primadona; Fauzi, Rahmat
Computer Science and Industrial Engineering Vol 9 No 4 (2023): Comasie
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/comasiejournal.v9i4.7712

Abstract

Surya Jaya Electronic & Furniture, the author found many obstacles due to the accumulation of annual sales data. This made it difficult for the company to know the availability of existing goods and could not predict which goods or products were most in demand by customers and sold the most. Implementation of data mining with the a priori algorithm on Surya Jaya Electronic & Furniture found that in June there were 23 data points for item set 2, 8 data points for item set 3, and 35 data points for item set 4. In the July period, there were 19 data points for item set 2, 13 data points for item set 3, and 33 data points for item set 4, and in the August period, there were 15 data points for item set 2, 1 data point for item set 3, and 7 data points for item set 4.
PENERAPAN DATA MINING PADA TRANSAKSI PENJUALAN MENGGUNAKAN ALGORITMA APRIORI DI ALFAMART CENTRE PARK Zega, Martinus; Fauzi, Rahmat
Computer Science and Industrial Engineering Vol 9 No 5 (2023): Comasie
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/comasiejournal.v9i5.7783

Abstract

Along with the development of the economy from year to year, the retail industry is one of several industries that is experiencing quite good development, one of which is PT Sumber Alfaria Trijaya Tbk. or commonly known as Alfamart. Marketing activities at Alfamart that focus on buying and selling food and non-food goods with a large enough number of transactions in total daily sales, a company needs analytical tools to provide useful information for the company. Because Alfamart is a large-scale retail company, there are several problems that are often encountered daily, namely determining the layout of goods that are less strategic and easily noticed by customers, not knowing which products are most often purchased simultaneously by consumers and several types of goods in an overstock warehouse. Therefore, research was carried out with the implementation of data mining on sales at Alfamart using the Apriori algorithm and testing using the Rapidminer software to produce the highest association rules. The results of this study are the discovery of 10 association rules with a minimum support of 40% and 70% confidence which are expected to be recommendations for business actors to improve sales strategy.
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.
Co-Authors ., Nadia 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 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 Faishal Mufied Al Anshary Faqih Hamami Fasya Dzul Fikri Akbar Febrian Wulandari Febriyani, Widia Fikri Finda Lisna Fitriyana Dewi Francisko Nainggolan, Francisko Nainggolan Fridolin Sarumaha Gayuh Rahayu Gifazil, Muhammad 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 Iqbal, Ahmad Irawan, Dedy 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 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 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 Yuliana Dewi Yulya Muharmi Yusran Yusran Yvonne Wangdra Zakky Al Attar Zebua, Ali M Zega, Martinus