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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 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) Jurnal Pendidikan dan Konseling Abdi: Jurnal Pengabdian dan Pemberdayaan Masyarakat 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 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) Educational Leadership: Jurnal Manajemen Pendidikan
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 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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IMPLEMENTASI MEDIA PEMBELAJARAN INTERAKTIF SENI BUDAYA KELAS VII DI SMP N 8 BATAM NONGSA BERBASIS ANDROID MENGGUNAKAN ADOBE ANIMATE AZRIANI, ERA; Fauzi, Rahmat
Computer Science and Industrial Engineering Vol 8 No 1 (2023): Comasie
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/comasiejournal.v8i1.6745

Abstract

This study aims to produce learning media in the form of android-based applications for junior high school students. Based on research on student learning outcomes at SMPN 8 BATAM in the subject of Cultural Arts, it is a subject that has a low score compared to other subjects, namely 71. This is shown by data from 39 students, there are 24 students (61.53%) who get a score below the Minimum Completeness Criteria (KKM), which is 68, while the remaining 15 students (38.67%) score above the KKM. In this way, the researcher is interested in designing an Android-based Interactive Learning Media for Cultural Arts Class VII application using Adobe Animate. This prompted the author to build a multimedia-based application using the waterfall method. The conclusion obtained in this study is that interactive art and culture learning media applications can be used as additional learning media that are interesting and not boring.
DATA MINING ANALISIS HASIL PRODUKSI PT.SIMATELEX MANUFACTORY BATAM MENGGUNAKAN ALGORITMA APRIORI Francisko Nainggolan, Francisko Nainggolan; Fauzi, Rahmat
Computer Science and Industrial Engineering Vol 8 No 2 (2023): Comasie
Publisher : LPPM Universitas Putera Batam

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Abstract

Data mining, also known as Knowledge Discovery in Databases, or KDD, is the process of attempting to extract valuable knowledge and information from very big databases. The A priori algorithm is one of the most often used algorithms in data mining approaches. Conversely, association rules are employed in the identification of combinations of associations between item-sets. Data mining has been used in a variety of industries, including telecommunications, education, and business or trade. Results from the application of data mining utilizing A priori algorithms, for instance, might assist businesses in making decisions regarding inventory policies. As an illustration, consider the value of an organization's inventory system and the top priorities for stocking up on to prevent product shortages. Because customers' opinions and a company's bottom line may be impacted by a shortage of inventory. As a result, a company's capacity to supply a variety of production product types is essential to ensuring that its customers receive their orders without delay and that its marketing efforts are successful. In addition to the aforementioned issues, data mining can develop a smart business environment to prepare the company for the future's fierce business competition.
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%.
Co-Authors ., Nadia Abda Abda Abdi Sugiarto Abdul Azis Achmad Gabriel Glowdy Adami, M. Yarzuk Adi Purnomo Sidik Aditya Zhafir Dhiaulhaq Adityo Satrio Bagaskoro Afandi, Pedri Afandy, Benny Agif Hafizhan Ahmad Musnansyah 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 Cut Nuraini Dede Erik Setiawan Dedi Rianto Rahadi Dela Youlina Putri 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 Fitriyana Dewi Francisko Nainggolan, Francisko Nainggolan Fridolin Sarumaha Gayuh Rahayu Gifazil, Muhammad Halomoan , Halomoan Handra Tipa Handra Tipa Harman, Rika Harri Margono Hayati, Nanik Nur Hidayanto, Khoirul Hilmi, Farhan Hutapea, Yuni Shantika I Made Dwima Gita Dirtana Inayah Dwi Utari Intan Akbar Rusmana 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 Mochamad Hariadi Mudayanti, An Rini 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 Nazwa Fitria Habibah Nia Ambarsari Nofriani Fajrah, Nofriani Nopendri Nopendri Nopriadi Nopriadi Nugroho, Angganto Nugroho, Anggianto Nuki Pratama Nurul Azwanti Oktari Kanus Olin Teresia Praditya Agung Laksmana Prafitasari , Aulya Nanda Pratiwi, Mariska Putri Primadona Putra Kang, Anugerah Putra, Rudi Syaf Putri, Annie Mustika Putri, M.Kom, Anggia Dasa Putri, Natasya Kusuma Rachmadita Andreswari Raden Henry Heriansyah Rahfy, Rahfy Rahma Arbiananda Fauziah Rajagukguk, Hidup Perjuangan Ramadhan , Audia Ditsya Ramadhan, Naufal Hanif Ramli, Muhammad Ayyub Ratna Sari Ridwan, Ridwan Rilan Frizkiniki Riska Sintia Dewi Rivero Novelino Robertus Rotama Marbun Rozimin Rusmana, Intan Akbar Saerozi, Ahmad Saputra, Ega Saputra, Zaky 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 Wiza, Rahmi Wulandari, Febrian Yomima Viena Yuliana Yuliadi Yuliadi Yulya Muharmi Yusran Yusran Yvonne Wangdra Zakky Al Attar Zebua, Ali M Zega, Martinus