Comparison between SAW and WASPAS Methods in Determining the Location of the Transit Warehouse of PT. TG

This study aims to determine the location of the transit warehouse of PT. TG. For reasons of corporate strategy, so that PT. TG conducted a search for warehouse transit locations by considering five factors. The five factors are population density, distance from the head office, ease of access to the location, land price factors, and social environmental factors. The search for the location of the transit warehouse was carried out precisely to support the progress of the company. The five criteria are grouped into two types, namely benefits and costs. Management of PT. TG provides six alternative warehouse transit locations. Selection of location for the transit warehouse of PT. TG is important because the warehouse is an important facility in a company. The warehouse has an important role in ensuring the supply chain for inventory goods. The method used is the Simple Additive Weight method and the Weight Aggregated Sum Product Assessment method. The results of the weight calculation against the criteria produce an option that can help the management of PT. TG in making the decision for the location of the transit warehouse. One of the six alternatives will be selected based on the value of the largest V or Q calculation. The results of the processing of the SAW method and the WASPAS method show that Sunggal Subdistrict is the best location, with results V = 0.773 and Q = 0.746.

Design and Implementation of Lightweight Virtualization Using Docker Container in Distributing Web Application with Experimental Methods

The rapid development of website-based applications that can be accessed on various computer platforms and smart phones, causing the infrastructure of web application deployment, especially servers, is needed. This causes sometimes the organization needs to invest in a server. With virtualization, companies can create multiple servers on the same machine, and each server functions as an individual machine. Lightweight based virtualization or known as containers is an approach where the host operating system is shared with a virtual server which means that the parent kernel is shared with virtual servers or containers. The method used is an experimental method, this study measures the effect of a particular treatment on a variable with different treatments. Research variables carried out in the lightweight virtualization system research, including: throughput, Average Latency, response time and Dropped Request. The treatments in this study were tested with 100, 200, 250 and 300 connections simultaneously with 1000, 3000, 5000, 7000 requests.The server service design uses container-based virtualization for the webserver with 2.8 Ghz (4 core) Intel Core i7 processor specifications, 2 GB memory, 80 GB M2 SSD storage, and Gigabit Ethernet capable of handling 250 requests simultaneously, but cannot be accessed when handling 300 requests simultaneously.

Analysis of IT Governance COBIT 5.0 (Case Study: Ministry of Religious Affairs of Batam)

Indonesian Government has developed technology-based information systems in their respective environments as an effort to realize public services that meet standards and achieve citizen service satisfaction, and in line with that as the government's efforts to digitize each business process in the government itself. Ministry of Religious Affairs of Batam that has developed this technology-based information system in implementing activities public services at Sekupang office, KUA, and integrated service places. This study aims to analyze the IT governance that has been applied at Ministry of Religious Affairs of Batam in providing public services. This study uses COBIT 5.0 to analyze IT governance in understanding and finding common ground between the needs of Batam citizen and the strategic plan of the Ministry of Religious Affairs of Batam, as well as how to evaluate and monitor IT governance in the actual conditions. This study uses two domains: Plan and Organize (PO) and Monitor and Evaluate (ME), based on the results of questionnaire data processing with 106 respondents, and the average value of the PO domain 3.8 and ME domain 3.9 shows that IT governance is at the Defined Process level. . Found two IT processes with a value of less than 3, namely PO8.1 and PO9.1, it is necessary to recommend improvements to quality management and risk management.

Watering Stimulation of Alliun cepa L Plants Based on IoT Through the ESP32 Microcontroller and MQTT Protocol

Allium cepa L. (Shallots) is classified as a seasonal plant that requires special water treatment techniques correctly and precise watering methods. Farmers in the highlands of Enrekang Regency, South Sulawesi, mostly still prefer watering this plant traditionally and manually even though it is in large garden areas. Farmers also find it difficult to handle watering crops on large tracts of land and are overwhelmed by not having enough time to care for water evenly. Implementation of Internet of Things (IoT) based onion watering method utilizes an ESP32 microcontroller with the Message Queuing Telemetry Transport (MQTT) protocol, and is very easy for farmers to implement. The MQTT work system implements Publish and Subscribe data. The method and system for designing this tool is that if the shallot plant is 1-10 days old, this tool will water twice a day evenly, the morning and evening. Then if the shallot plant is 11-60 days old, this tool will water only once, in the morning. When the watering automation is implemented, the information system is in the form of a message (on the smartphone) signing by logic 0. Conversely, if this tool does not flush, then the message that comes on the smartphone is as logic 1.

Qr Code Reader System Assisted With Face Detection Using Multi Webcam

Informasi yang terdapat pada QR Code dapat dibaca dengan alat pemindainya. Alat pemindai yang digunakan berupa kamera yang terkoneksi ke sistemnya, contohnya webcam. Saat sekarang ini, alat pemindai akan bekerja secara otomatis jika mendeteksi objek QR Code tersebut. Pada penelitian ini, alat pemindai QR Code yang sudah ada akan dikembangkan dengan menambahkan deteksi wajah manusia di dalam sistemnya, yang mana proses memindai dan mendeteksi akan berjalan secara bersamaan di satu sistem. Tanpa deteksi wajah maka sistem tidak bisa bekerja. Metode penelitian yang dipakai adalah jenis research and development (R&D). Sistem yang dihasilkan terdiri dari server penghasil gambar QR Code dan sistem pemindai dengan dua webcam. Fungsi server adalah untuk mendaftarkan informasi yang akan disimpan ke gambar QR Code. Untuk akses ke server menggunakan browser, sedangkan pada sistem pemindai menggunakan aplikasi yang dibuat dengan bahasa pemrograman Processing. Antara server dan sistem pemindai terkoneksi secara otomatis ketika mengekstrak informasi yang ada pada gambar QR Code. Jarak baca agar sistem pemindai bekerja adalah antara 10 cm sampai dengan 55 cm.

Analysis of Definite Integral Material Topics for Improve Student Learning Using Apriori Algorithm

Definite Integral is one of the most important subjects in calculus. The use of integrals that must be studied is calculating the area and drawing curves based on the equation of functions. However, there are still many students have difficult to understand integral material, especially definite integral. Most students have difficult to understand Integral learning because they do not understand the basic and material that needs to be mastered. The purpose of this study is to find a pattern of relationship to the understanding the topic of integral material about calculation and drawing of integral curves using apriori algorithm. Apriori algorithms can be used to determine learning patterns and linkages between definite integral material. Apriori algorithms can be used to determine learning patterns and linkages between definite integral material. The results of this study indicate that understanding of the material is the topic of calculation with 1 functional equation and 2 functional equations, and the depiction of integral curves at X and Y coordinates with a confidence value of 96% and basic integral material such as understanding basic integral techniques, definite integral formulas, calculations and curve depiction on cartesian diagram coordinates X and Y with a confidence value of 76%.

Machine Learning for Detection of Palm Oil Leaf Disease Visually using Convolutional Neural Network Algorithm

Artificial intelligence (AI) merupakan bidang ilmu pengetahuan yang saat ini menjadi isu yang menarik dan masih diteliti secara luas. Salah satu cabang dari pengembangan AI adalah computer vision yang di dalamnya terdapat topik pembahasan image classification dan object detection. Machine learning dapat dimanfaatkan di dalam bidang computer vision untuk melakukan object detection dan image classification, yaitu dengan menggunakan algoritma Convolutional Neural Network (CNN). CNN banyak digunakan pada penelitian terdahulu karena akurasinya yang tinggi. Pada penelitian ini, CNN digunakan untuk mendeteksi jenis penyakit daun tanaman kelapa sawit, dengan dataset sebanyak 60 gambar, dimana 50 diantaranya merupakan daun dengan 5 jenis penyakit berbeda, yaitu Curvularia sp, Cochliobolus carbonus, Capnodium sp, Drecshlera, dan defisiensi unsur hara. Sedangkan 10 sisanya merupakan gambar daun sehat. Hasilnya, CNN dapat mendeteksi penyakit daun kelapa sawit dengan akurasi yang dihasilkan mencapai 99%.

Automation of Aquaponic Choy Sum and Nile Tilapia Using Arduino Microcontroller

This study aims to build an aquaponics automation tool to simplify the control of fish and vegetable cultivation. The objects that were taken in this study were nile tilapia and choy sum. In this study, testing was carried out in an aquarium and hydroponic pipe to control nutrition, water turbidity, light, pH, feed, and temperature. The main tools used to build this automation include Arduino ESP-32, GY-302 Ambient Light Intensity Sensor, DFRobot Gravity Analog pH Sensor, DS18B20 temperature sensor, 3-6V DC R140 DC motor, Relay Module6 Chanel 12V, RTC Module. DS130 and SR04 Ultrasonic Sensor. After the system testing process, it can be concluded that this tool can support the process of cultivating nile tilapia and choy sum properly and make it easier for farmers to monitor aquaponics.

Design and Simulation of Analog Modulation with the Infinite Impulse Response Method

Penelitian ini berdasarkan salah satu roadmap prodi Teknik Telekomunikasi Jurusan Teknik Elektro Politeknik Negeri Medan. Materi dasar dalampraktikum Dasar Telekomunikasi I bersifat dasar suatu sinyal. Sinyal yang diberikan ke sistem atau rangkaian, keluarannya diukur oleh osiloskop dan/atau spectrum analyzer. Rangkaian dasar sistem analog dalam telekomunikasi meliputi filter, penguat, osilator dan mixer. Menurut penelitian rancangan filter terdahulu yang telah dilakukan, kemudian dilanjutkan kepada penelitian karakteristik penguat dan mixer analog pada modul ED-2950P. Penguat dan mixer dikelompokkan menurut RF, IF dan daya.,Rangkaian dibangun berbasis IC 555, μ741 atau LM348 terbaru dan didukung generator sinyal, 10 MHz, 50 MHz. bentuk gelombang dan analisa respon frekuensi menggunakan Osiloskop digital, 100 MHz. Rancang bangun rangkaian tersebut diiringi dengan program simulasi menggunakan MATLAB dengan metode IIR, keduanya akan dibandingkan hasilnya. Hasilnya cukup memadai dengan faktor error bervariasi rata-rata 0,0964 Vpp sampai 0,236 Vpp dan standar deviasi dari 0,070 Vpp sampai 0,0340 Vpp untuk tegangan masukan 1 Vpp. Mixer terdiri dari modulator AM,

Market Basket Analysis for Books Sales Promotion using FP Growth Algorithm, Case Study : Gramedia Matraman Jakarta

For retail companies such as Gramedia stores, promotion and strategies to sell books are important, so tools are needed to analyze past sales data. Gramedia does not yet have tools to analyze shopping cart patterns that aim to carry out product promotions appropriately. To promote what books should be promoted using the market basket analysis method or shopping basket analysis. The algorithm used in the data mining process is Frequent Pattern Growth (FP Growth) because it is faster in processing large data. The data analyzed is historical data on book sales from January to March 2020 which is taken randomly (random sampling). The framework used in the data mining process is the Cross Industry Standard Process for Data Mining (CRISP-DM) and the tool used is the Rapid Miner using a market basket analysis framework. With a minimum support of 0.003 and a minimum confidence 0.3 using the FP-Growth algorithm to produce an item set of 7 rules to recommend product promotions. The algorithm results are also in accordance with the business understanding phase of CRISP-DM.