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Risma Arta Juita ButarButar
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risma.butarbutar@puterabatam.ac.id
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FAKULTAS TEKNIK DAN KOMPUTER UNIVERSITAS PUTERA BATAM (Sistem Informasi, Teknik Informatika & Teknik Industri) Jl. R. Soeprapto – Tembesi – Batam – Kepulauan Riau
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INDONESIA
Computer & Science Industrial Engineering Journal
ISSN : -     EISSN : 27156265     DOI : -
Core Subject : Science,
Journal Comasie is a journal that combines 3 science namely informatics engineering, information systems and industrial engineering. The theme and scope can be seen in the scope section. This journal was created as a means of publicizing the results of research conducted by lecturers and students. This journal is published 3 times a year or every 4 months in a year. The main purpose of this journal is to facilitate students who want to publish their scientific work so that it will increase the profusion of knowledge. We on behalf of all the managers express gratitude for all efforts and support in the publication of this journal and our great hope that this journal can be a reference for the community in improving technology and to advance Indonesia (Amrizal, Andi, Welly, Rashid)
Articles 16 Documents
Search results for , issue "Vol 9 No 3 (2023): Comasie" : 16 Documents clear
OPTIMASI KAPASITAS PRODUKSI PADA UKM RUMAH KUE POYA Miranda, Canda; Sirait, Ganda
Computer Science and Industrial Engineering Vol 9 No 3 (2023): Comasie
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/comasiejournal.v9i3.7648

Abstract

This thesis discusses profit optimization in the cake production activities at Rumah Kue Poya located in Tiban, Batam City. The research aims to determine the optimal number of cake combinations that should be produced by Rumah Kue Poya to maximize profits. The data used in this study are secondary data obtained through documentation from Rumah Kue Poya. Subsequently, the research data is analyzed using linear programming with the simplex method using the POM-QM for Windows V.3 application, which is used to find the optimal solution. The results of this study indicate that to achieve optimal profits, Rumah Kue Poya should produce 5,500 pieces of risoles, 5,200 pieces of brownies, 2,500 pieces of cream puffs, and 2,500 pieces of donuts, with an optimal monthly profit of IDR 11,580,000 over a one-month period, representing a 1% increase in profit amounting to IDR 105,000 from the actual condition.
PERANCANGAN KUNCI PINTU RUMAH OTOMATIS MENGGUNAKAN E-KTP BERBASIS ARDUINO Japin, Maria; Hutabri, Ellbert
Computer Science and Industrial Engineering Vol 9 No 3 (2023): Comasie
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/comasiejournal.v9i3.7649

Abstract

Currently, cases of theft are still relatively high, because of this, tools or door locks with a more sophisticated security system are needed, such as the use of an e-KTP system. The door of the house is the main access to enter the house, but the security system at home used today is still relatively common and very vulnerable to theft or robbery. It is also very dangerous for the life of the home owner in the event of theft. So it takes a high level of security system to open or enter the door of the house. A system that can be implemented to improve security is one of them is a microcontroller-based electronic circuit system, this system makes it possible to design a home entrance security system with RFID to read e-KTP codes and manual passwords based on Arduino Mega 2560 and Arduino Nano. This system is designed with ±5V DC power supply, LCD, RFID, LED and ±12V DC solenoids. Arduino Mega 2560 and Arduino Nano as microcontrollers and solenoids and LCD as their outputs. Based on the test results, it can be concluded that the designed door security system works well and works optimally. With the help of a system that is made to open the door of the house automatically with RFID which reads the ID contained in the registered e-KTP or password, so as to minimize the occurrence of crime, especially cases of theft and burglary at the door of the house.
PEMBANGUNAN PROCUREMENT ANALYTIC DASHBOARD UNTUK VISUALISASI ANALISIS DATA MENGGUNAKAN MICROSOFT POWER BI Wulandari, Ayu; Harman, Rika
Computer Science and Industrial Engineering Vol 9 No 3 (2023): Comasie
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/comasiejournal.v9i3.7650

Abstract

Pengelolaan data merupakan hal penting dari sebuah perusahaan namun prosesnya tidaklah mudah. Seiring dengan perkembangan teknologi, terciptalah banyak cara dalam mengolah data salah satunya yaitu Business Intelligence (BI) yang merupakan sebuah proses untuk melakukan ekstrasi data-data operasional perusahaan dan mengumpulkannya dalam sebuah data warehouse. Didalam proses operasional pada departemen procurement/purchasing, data transaksi pembelian mencapai ratusan hingga ribuan data dalam periode satu tahun. Namun, perusahaan saat ini belum memiliki aplikasi dashboard untuk melihat data mengenai kegiatan pemrosesan transaksi pembeliannya. Karena hal tersebut, dibutuhkan pembuatan aplikasi Business Intelligence untuk memproses sebuah data di perusahaan ini kemudian dibuatkan visualisasi data dalam bentuk dashboard agar manajemen atas bisa mendapatkan informasi secara cepat dan agar bisa memberikan keputusan yang tepat berdasarkan informasi yang telah didapatkan melalui dashboard tersebut. Penelitian ini bertujuan untuk memberikan informasi-informasi yang berguna untuk meningkatkan efektifitas dan efisiensi pada perusahaan tersebut dengan dasar Business Intelligence. Metode yang digunakan dalam perancangan data warehouse yaitu metode kimball nine step methodology. Dalam penelitian ini, analisis data dilakukan dengan menggunakan aplikasi Microsoft Power BI. Hasil analisis dapat dimodelkan dalam Power BI dan divisualisasikan menggunakan berbagai jenis diagram, table dan filter data dapat dilakukan dengan menggunakan widget penyaringan.
ANALISIS PREFERENSI KONSUMEN TERHADAP KEPUTUSAN PEMBELIAN PADA DEPOT AIR MINUM Putra, Alex Pratama; Tarigan, Elsya Paskaria Loyda
Computer Science and Industrial Engineering Vol 9 No 3 (2023): Comasie
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/comasiejournal.v9i3.7653

Abstract

Drinking water depots in Batam City are easy to find because there are in every residential area and an increase in competition is unavoidable. This study aims to determine the factors that influence purchasing decisions at drinking water depots in Batam City. The classical assumption test was carried out to test the regression model in order to obtain a regression model from the least squares method which produces an unbiased linear estimator. The use of multiple linear regression analysis was carried out to determine whether there is a relationship between the influence of product quality, price, location and promotion on purchasing decisions. Product quality variable with tcount 2.845 > ttable 2.06390 with a significant level of 0.009 <0.05 concluded that product quality has a positive and significant effect on the purchasing decision variable, then H1 is accepted. The location variable with tcount 2.663 > ttable 2.06390 with a significant level of 0.013 <0.05 concluded that location has a positive and significant effect on the purchasing decision variable, then H3 is accepted. The author suggests for drinking water depots in Batam City to maintain the quality of gallon refill water products, and choose strategic depot locations to increase profits.
IMPLEMENTASI ALGORITMA APRIORI DALAM PEMODELAN POLA PEMBELIAN PRODUK PADA EDUKITS BTC Reisyer, Kevin Ellvan; Harman, Rika
Computer Science and Industrial Engineering Vol 9 No 3 (2023): Comasie
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/comasiejournal.v9i3.7656

Abstract

In competition in the business world, especially the retail industry, requires developers to find an appropriate strategy in order to increase sales of school equipment, one way is to know the sales pattern of school equipment so that we can apply the right steps to provide more facilities, in order to increase selling power. A priori algorithm is a type of association rule in data mining. A priori is a very famous algorithm for finding high frequency patterns. A high frequency pattern is an item pattern in the database that has frequency or support above a certain threshold which is called the minimum support term. Using an a priori algorithm can help develop a marketing strategy. The results showed that with a minimum support of 30%, there were 4 combination patterns of one item set that achieved minimum support, with the highest support for Stationery Office of 72.6%, for a combination of 2 itemsets there were 4 combination patterns with the highest support (School Stationery, Stationery Office) namely 54.8%, for a combination of 3 itemsets there was 1 combination pattern with the highest support (Art & Craft, School Stationery, Office Stationery) namely 32.9%.
IMPLEMENTASI DATA MINING DENGAN ALGORITMA NAIVE BAYES UNTUK KLASIFIKASI KELAYAKAN PENERIMA BANTUAN SEMBAKO Entini, Ayu; Handoko, Koko
Computer Science and Industrial Engineering Vol 9 No 3 (2023): Comasie
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/comasiejournal.v9i3.7659

Abstract

The percentage of the population receiving assistance was 5.19%, this figure increased compared to March 2022, while the line of aid recipients was recorded in 2022 of 783,730 people per capita per month. The number of poor households in Batu Aji District is Bukit Tempayang Village with 15,857 inhabitants, 300 poor households, 37,531 inhabitants in Buliang Village, 289 poor households, 28,693 The beneficiary of assistance is an inability to meet basic needs including food, clothing, education and housing. Thus it is necessary to carry out a strategy in dealing with the level of beneficiaries, namely by providing accurate and targeted data on beneficiaries. Naive Bayes is an algorithm that exists in data mining and is part of the data mining classification technique by using probability and statistical techniques to estimate or predict opportunities that will occur based on previous opportunities, namely there are two feasible and inappropriate classes. The results of the classification that will be carried out later will help in the processing of assistance to help make decisions regarding the classification of determining basic food recipients. And by testing calculations manually and using rapid minner software, you get an accuracy value of 80%.
RANCANG BANGUN SISTEM PERHITUNGAN ORANG ATAU PENGUNJUNG DALAM SEBUAH RUANGAN BERBASIS ARDUINO Rizal, Muhammad; Nopriadi, Nopriadi
Computer Science and Industrial Engineering Vol 9 No 3 (2023): Comasie
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/comasiejournal.v9i3.7661

Abstract

This research aims to design and implement an Arduino-based system for counting and tracking people in SMK Tunas Baru Berkarya's auditorium. The system will use infrared sensors on the doors to detect visitors and Arduino as the central system to process the data. It will also control the doors using servo motors. The study will involve several stages, including selecting and configuring the infrared sensors, developing Arduino programs for visitor detection and counting, and adjusting the servo motors for door control. Testing and evaluation will ensure the system's reliability and effectiveness in monitoring room capacity and controlling door access based on available capacity. The research's outcomes are expected to benefit the auditorium management by optimizing room usage, enhancing visitor safety, and providing a seamless experience for visitors.
RE-DESIGN TANGGA PESAWAT UNTUK LOADING DAN UNLOADING KURSI PADA PESAWAT AIRBUS 320 NEO DI PT BAT Firdaus, Andre; Zetli, Sri
Computer Science and Industrial Engineering Vol 9 No 3 (2023): Comasie
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/comasiejournal.v9i3.7663

Abstract

PT. Batam Aero Technic which is a subsidiary of Lion Air airline that focuses on Maintenance, Repair and Overhaul (MRO) or maintenance of aircraft. One of the maintenance in the BAT hangar is the maintenance of the aircraft cabin section which is commonly called the Cabin Base Maintenance (CBM) Division. The CBM Division is responsible for the interior of the aircraft, starting from small to large scale repairs. In the initial observation, there was the biggest complaint of work posture of 66.67%, pain in the upper neck when lifting airplane seats manually and using stairs that did not fit properly. So it is important to design a tool to reduce musculoskeletal complaints. The aim of the research is to design ergonomic stairs using the EFD method to determine design specifications and meet user needs and anthropometric measurements with NBM. Then, a survey by distributing questionnaires to obtain the design parameters of the transportation equipment developed with the results of the unloading size with Dimension Platform 4,14 m x 404 m, Height Min 1 m | Max 4,5 m, Structure Materials Body and Frame : Structure Steel with Coating, Electrical Control Panel Specification Remote Control / Wireless, Control panel box, Motor 1.5 HP 380 volt 3 phase, Flow Rate 3.2 LPM/210 bar. Others Specification Included, Hydraulic Jack Mounting, Tire Wheel c/w steering towing, Aluminum platform layer Railing, Rubber Bumper, Manual Box, Safety Locking Devices, 2 sets of Rack Gear with Electric Solenoid Release. The design developed is valid according to user needs and according to the 5% significance level and is better than the prefix design due to a more ergonomic ladder position and faster loading/unloading seats.
ANALISIS PEMILIHAN SUPPLIER BERAS DI TOKO SEMBAKO GABE Purba, Risdohar; Asmarawati, Citra Indah
Computer Science and Industrial Engineering Vol 9 No 3 (2023): Comasie
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/comasiejournal.v9i3.7665

Abstract

In the face of increasingly rapid market developments, every company must be able to compete globally. This is a challenge for every company, to be able to compete in providing the best for its consumers. In order to produce products that are in accordance with the wishes of consumers and can increase the competitiveness of companies, it is necessary to pay attention to how to procure products and select the right suppliers. Toko Sembako Gabe is one of the SMEs that does not yet have the right supplier to become a rice supplier. This research aims to assist business owners in determining the right rice supplier at Gabe Grocery Stores. This research uses the Analytical Hierarchy Process (AHP) method. The criteria used in this study are quality, price, delivery, flexible and fast response. Based on the criteria and sub-criteria in supplier selection, supplier 1 is the first priority with a weight of 1.080, supplier 3 is the second choice with a weight of 0.695 and supplier 2 is the last choice with a weight of 0.288. Based on the results of this study, the best supplier to be chosen by Toko Sembako Gabe is supplier 1 (Grosir Tiga Brother)
RANCANG BANGUN SISTEM INFORMASI POINT OF SALE BERBASIS WEB Yanti, Chagu Hospita; Arnomo, Sasa Ani
Computer Science and Industrial Engineering Vol 9 No 3 (2023): Comasie
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/comasiejournal.v9i3.7669

Abstract

The development of the business world encourages companies to always try to improve the quality of products and services to consumers. Goods purchase services can be done electronically and can also be done online. The implementation of these business solutions is a commitment to increasing customer competitive advantage in terms of efficiency, effectiveness, performance, and business development. This study aims to design and develop a point of sale (POS) application to support a purchasing service system that can help CV Berdikari owners in data management. Making this POS application begins with collecting all the data needed using observation, interview, and literature study methods, designing Model Prototyping applications with application design tools in the form of flowcharts and Unified Modeling Language (UML) until the implementation of this POS application. With the implementation of this point of sales (POS) application, it can help users who are directly related to this POS application, especially customers, employees and owners in the process of managing reports and controlling their business activities.

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