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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
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IMPLEMENTASI DATA MINING K-NEAREST NEIGHBOR PADA PENERIMAAN KARYAWAN DI PT DWI SUMBER ARCA WAJA Saputra, Ega; Fauzi, Rahmat
Computer Science and Industrial Engineering Vol 6 No 4 (2022): Comasie
Publisher : LPPM Universitas Putera Batam

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Abstract

Recruitment is the first step taken by PT. Dwi Sumber Arca Waja (PT DSAW) to recruit prospective professional workers. Professionalism is needed as one of the inputs to produce the appropriate output. PT DSAW is a Large Steel manufacturing company that acts as a supplier that provides goods to support the oil and gas sector. The Head Office is located on Jl. Hang Kesturi I No.8, Kawasan Industrial Estate, Batam. Over time, PT. DSAW needs to find a way to be faster and more efficient in determining prospective employees so that they can quickly find suitable and appropriate employees. This study aims to apply the KNearest Neighbor (K-NN) classification method to the recruitment selection system at PT DSAW. The K-NN method will calculate the level of similarity by measuring the distance between the needs set by PT. DSAW with data held by prospective employees. Furthermore, the K-value is taken from applicants who have a similarity value of 80%. Applicants who have the same score of 80% will be included in the next test.
PENERAPAN BYL’s GDLC PADA PERANCANGAN APLIKASI GAME EDUKASI PENGENALAN HEWAN: GAME EDUKASI PENGENALAN HEWAN AZIS, ABDUL; Fauzi, Rahmat
Computer Science and Industrial Engineering Vol 7 No 2 (2022): Comasie
Publisher : LPPM Universitas Putera Batam

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Abstract

Computer technology has a positive impact at this time, especially in the world of education, one example is interactive learning using audio visuals, known as educational games. In designing educational games using SDLC, then there is an update that is devoted to game design, namely GDLC which was discovered by BYL's. In designing games using the BYL's GDLC method in making this educational game the theme of animal recognition, which before being made learning media contained in animal recognition learning books was less attractive to students, so that students were more interested in the process of learning animal recognition, educational games were made to attract interest. learning among students. In designing educational games using Adobe Flach CS6 software as the main media in its manufacture. Because Adobe Flash CS6 software is still widely used in making interactive educational games whose output can be used on Android and desktop.
IMPLEMENTASI DATA MINING UNTUK MEMPREDIKSI KINERJA KERJA KARYAWAN MENGGUNAKAN METODE REGRESI LINIER BERGANDA Juni Kristian Gea; Fauzi, Rahmat
Computer Science and Industrial Engineering Vol 7 No 2 (2022): Comasie
Publisher : LPPM Universitas Putera Batam

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Abstract

Utilization of technology in the field of data, especially in predicting the work performance of employees at PT. Mandiri Karya Nusantara is very lacking so that it can result in a decrease in the quality of the company to compete in the business world. This study aims to: (1) to analyze the application of data mining to employee assessments in predicting employee performance at PT. Mandiri Karya Nusantara (2) to apply the multiple linear regression method in predicting the work performance of employees at PT. Mandiri Karya Nusantara. This research is a research that takes data mining from 133 employee performance data of PT. Mandiri Karya Nusantara. This research uses Multiple Linear Regression method. The calculation results obtained 358 prediction results, so it can be predicted that employee performance increased by 358 from the previous period and in the following period. Prediction of the increase is supported by the results of analysis with multiple linear regression using SPSS which is known that the significance value is 0.000 <0.05, which means that there is an influence of discipline, skills, work productivity and work quality on employee performance. The application of the employee performance analysis can be used to improve the variables that influence the increase in employee performance. So it is necessary to pay attention to employee discipline, skills / abilities, work productivity, and work quality on employee performance.
IMPLEMENTASI METODE EXTREME PROGRAMMING DALAM PERANCANGAN APLIKASI PENJUALAN TOKO BANGUNAN MENGGUNAKAN PEMROGRAMAN JAVA Afandi, Pedri; Fauzi, Rahmat
Computer Science and Industrial Engineering Vol 7 No 3 (2022): Comasie
Publisher : LPPM Universitas Putera Batam

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Abstract

The shop is a closed place in which trade activities occur with special types of goods or goods, such as one of the shophouses of the batam advanced building located on the hot river of Batam City. The problem faced by batam building stores is that there is a shortage in serving customers because every purchase process still uses notes, resulting in slow customer service and difficulty in obtaining information on the number of stock of goods. With that, the author conducted research on the batam maju took which aims to facilitate and speed up the recording of sales transactions, as well as the movement of stock of goods in the batam maju building shop. This design uses extreme programming methods and application implementation is carried out using the Java NetBeans programming language and stored in a MySQL database. From the results of the research that has been applied, it can be concluded that it facilitates the process of sales transactions, inputting goods, and find out the inventory of goods at the Batam advanced building store.
RANCANG BANGUN SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN SMK DI KOTA BATAM MENGGUNAKAN METODE AHP BERBASIS WEB Elisaman Hulu; Fauzi, Rahmat
Computer Science and Industrial Engineering Vol 7 No 3 (2022): Comasie
Publisher : LPPM Universitas Putera Batam

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Abstract

Education is a very important role in building a developed Indonesia because education has aspects of learning knowledge, skills, and training that can improve the intelligence of the nation's children. However, there is an obstacle in determining the right school for students who want to continue their education. For this reason, the purpose of this study is to create a decision support system for choosing a vocational school and it is hoped that it can get the school as desired. In making a decision needed to make the right decision. The method used for school selection decision making is the Analytical Hierarchy Process (AHP). AHP is a hierarchical model that is used to sort or order priority in order to be able to provide solutions in solving a problem through the highest weight value of each of the criteria and alternatives made. The system development method uses the workflow method and is applied with use case diagrams and the use of the Balsamiq Mockup application, Sublime text, XAMPP and MySQL database, as a database that is designed to be better. The result of this research is the selection of Vocational Schools using the Analytical Hierarchy Process (AHP) based on the web based on the results of system feasibility testing using Black Box.
PERANCANGAN OTOMATIS TROLLEY SMARTGESTURE BERBASIS ARDUINO Gifazil, Muhammad; Fauzi, Rahmat
Computer Science and Industrial Engineering Vol 7 No 3 (2022): Comasie
Publisher : LPPM Universitas Putera Batam

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Abstract

Smart Gesture is one of the interesting technologies to develop. Smart gestures can be used into various things to facilitate human work. In general, trolleys are used to pack groceries that are pulled manually, with the presence of Smart Gestures trolley users do not need to spend energy to pull the trolley anymore, just control with a glove. The Smart Gesture applied to the trolley uses a gyro sensor to run the motor, so that controlling the trolley only relies on the level of hand tilt produced from the accelerometer sensor. To minimize the discharge of excess power in pulling the trolley, trolley users can control the trolley without having to pull it directly.
PERANCANGAN APLIKASI PEMETAAN CUSTOMER BERBASIS WEBGIS DENGAN MENGGUNAKAN METODE K-MEANS DickyZulkarnain; Fauzi, Rahmat
Computer Science and Industrial Engineering Vol 7 No 4 (2022): Comasie
Publisher : LPPM Universitas Putera Batam

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Abstract

J&T Express is a supplier of products conveyance administrations inside the city and outside the city, J&T Express has outlet branches in several areas in Batam, Of the many expedition services we know in Indonesia, J&T Express is a newcomer who immediately succeeds in capturing the hearts of customers. There are also many online businesses that have partnered with J&T Express. To obtain and add customers, a special strategy is needed so that the marketing carried out is more effective and efficient, so in this study it was carried out by processing existing customer data. WebGIS is an electronic geographic data framework, which is an application that can be run and applied to an internet browser whether the application is in a worldwide PC organization, in particular the web or in a Network in view of a Local Area Network (LAN) or in a Personal Computer (PC) but has ndi s configured in the network settings on the web server. The method used is K-Means which is one of the clustering algorithms aimed at dividing data into groups. In this study information assortment was acquired through perception, interviews and documentation.The consequence of this study is that this framework can be utilized to help the admin department of J&T express. In this system, there is a data analysis function which will issue the results of the analysis data on the delivery of customer packages that have been clustered along with information on giving cashback to customers to increase trust in customers
PENERAPAN ALGORITMA K-NEAREST NEIGHBOR UNTUK MEMPREDIKSI PENJUALAN SEPEDA MOTOR TERLARIS PADA PT DAYA ANUGRAH MANDIRI Rozimin; Fauzi, Rahmat
Computer Science and Industrial Engineering Vol 7 No 5 (2022): Comasie
Publisher : LPPM Universitas Putera Batam

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Abstract

Motorcycles are an option for everyone as a means of transportation because they are cheap and can be used for a long time. The increase in the price of consumer goods or daily necessities such as the increase in fuel prices, even on religious holidays (eid), or often Also known as fluctuation (seasonal), the problem that often occurs in making sales plans is when sales predictions are made. If the company is too small, the company will run out of goods and vice versa. The purpose of this research is that it is hoped that this research can help companies to make decisions in providing stock. Processing of motorcycle sales data as much as 170 and 3 attributes that exist in the data selection using the K-Nearest Neighbor algorithm method produces predictions of sales of Honda motorcycles with the metric type more in demand by consumers than the sport and CUB types. This study uses the K-Nearest Neighbord algorithm with an accuracy value of 97.65%.
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.
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