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INDONESIA
Faktor Exacta
Published by Universitas Indraprasta PGRI
ISSN : 1979276X     EISSN : 2502339X     DOI : -
Core Subject : Science, Engineering,
Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Industrial & Manufacturing Engineering
Faktor Exacta is a peer review journal in the field of informatics. This journal was published in March (March, June, September, December) by Institute for Research and Community Service, University of Indraprasta PGRI, Indonesia. All newspapers will be read blind. Accepted papers will be available online (free access) and print version.
Arjuna Subject : -
Articles 7 Documents
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Search results for , issue "Vol 13, No 4 (2020)" : 7 Documents clear
One Vehicle Routing Problem as the Best Solution for a Hangout Catering Company Expansion Plan with Lingo Software Mohammad Riski Borman; Mirani Oktavia
Faktor Exacta Vol 13, No 4 (2020)
Publisher : LPPM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/faktorexacta.v13i4.7540

Abstract

Every company that has a desire to expand its working area or can be termed an expansion plan is an indication that the company has the will to continue and develop as well as proof that the company has good business prospects in the future. There are many things that can be done in an expansion effort for the company, including expanding the product marketing area. The expansion of the product marketing area will make the company face the problem of determining the route of product delivery so that it reaches all customers who are expected to pass the shortest mileage. In this studied, we examined the routes that the Hangout Catering Company had to take in order to obtain the best touring to reach the ten places that were expansion targets with three operating scenarios based on the number of vehicles used. The solution to this problem is obtained with the help of Lingo software.
SISTEM BERBASIS CLOUD COMPUTING UNTUK IDENTIFIKASI RESEP DOKTER “BARSEP” Irwansyah Saputra; ANDI SARYOKO; GANDA WIJAYA; MEILYNDA TRISIANA; ASEP MULYANA; DANDI YUSBIAL BAYANI; DHARMA WINATA; VILSAFA KHOIRUNNISAK
Faktor Exacta Vol 13, No 4 (2020)
Publisher : LPPM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/faktorexacta.v13i4.7569

Abstract

A doctor's prescription is a doctor's written request to the pharmacist to prepare and give medicine to the patient. Prescriptions are made according to the needs of the patient after the doctor has examined and diagnosed the patient. However, doctor’s writing on a prescription that considered unclear can cause errors when compounding / preparing the drug and using prescribed drugs. In fact, the cure rate and life expectancy of patients is directly proportional to the administration of the right medicine. This study aims to prevent errors in the process of identification of prescription drugs by pharmacists. The technology used is cloud computing with the PHP 7.1.3 programming language, Laravel framework, and database storage using MySQL. BarSep application works by adding QR Code on recipe paper. The QR Code contains patient examination information including patient data, prescription drugs, and diagnoses, so that when the pharmacist scans the QR Code, the system will display all patient information that has been inputted by the doctor at the time of the examination. The results obtained from the implementation of the BarSep application at the Rapha Farma Pharmacy is BarSep applications effective for tackling errors in reading doctor's prescriptions that can save patients from medication errors. A doctor's prescription is a doctor's written request to the pharmacist to prepare and give medicine to the patient. Prescriptions are made according to the needs of the patient after the doctor has examined and diagnosed the patient. However, doctor’s writing on a prescription that considered unclear can cause errors when compounding / preparing the drug and using prescribed drugs. In fact, the cure rate and life expectancy of patients is directly proportional to the administration of the right medicine. This study aims to prevent errors in the process of identification of prescription drugs by pharmacists. The technology used is cloud computing with the PHP 7.1.3 programming language, Laravel framework, and database storage using MySQL. BarSep application works by adding QR Code on recipe paper. The QR Code contains patient examination information including patient data, prescription drugs, and diagnoses, so that when the pharmacist scans the QR Code, the system will display all patient information that has been inputted by the doctor at the time of the examination. The results obtained from the implementation of the BarSep application at the Rapha Farma Pharmacy is BarSep applications effective for tackling errors in reading doctor's prescriptions that can save patients from medication errors.                                                 
PROTOTYPE SISTEM KENDALI ROBOT ARM GRIPPER MANIPULATOR MENGGUNAKAN FLEX SENSOR DAN MPU6050 BERBASIS INTERNET OF THINGS Habib Nurfaizal; Makhsun Makhsun; Yan Mitha Djaksana
Faktor Exacta Vol 13, No 4 (2020)
Publisher : LPPM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/faktorexacta.v13i4.6598

Abstract

In this sophisticated era a lot of human work that has begun to be done by robots. Robots are used to facilitate work that can not be done by humans, such as moving an item in a dangerous place. One of the robots created to facilitate human work is a robot that has a shape like a human arm called the arm gripper manipulator. Arm gripper manipulator is a robot that has the ability to move like a human arm. The manipulator arm consists of joint, link, and end-effector. This research designed a control system of the robot arm gripper manipulator with 2 modes, gesture mode and IoT mode. The microcontroller used is Arduino Mega 2560 with flex sensor control and MPU 6050 inertia measurement unit sensor in gesture mode and IoT control mode with time average errors in 5 movements is 2.08%. The overall test results of the robot arm gripper manipulator can be controlled with gesture mode and IoT mode.Abstract. In this sophisticated era a lot of human work that has begun to be done by robots. Robots are used to facilitate work that can not be done by humans, such as moving an item in a dangerous place. One of the robots created to facilitate human work is a robot that has a shape like a human arm called the arm gripper manipulator. Arm gripper manipulator is a robot that has the ability to move like a human arm. The manipulator arm consists of joint, link, and end-effector. This research designed a control system of the robot arm gripper manipulator with 2 modes, gesture mode and IoT mode. The microcontroller used is Arduino Mega 2560 with flex sensor control and MPU 6050 inertia measurement unit sensor in gesture mode and IoT control mode with time average errors in 5 movements is 2.08%. The overall test results of the robot arm gripper manipulator can be controlled with gesture mode and IoT mode.
Pendekatan HOT-Fit dalam Evaluasi Sistem Informasi Manajemen Penyelesaian Laporan (SIMPeL) pada Lembaga Ombudsman Republik Indonesia Andriyani, Meilianti; Umniati, Naeli
Faktor Exacta Vol 13, No 4 (2020)
Publisher : LPPM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/faktorexacta.v13i4.7715

Abstract

SIMPeL is a system owned by ORI to facilitate the process of completing reports and improving public services. The increasing number of incoming public service maladministration reports is a challenge for ORI, especially how to monitor the number of incoming reports quickly and make the handling of reporting (complaints) integrated. This research uses the HOT-FIT analysis method to determine influence of Human components, Organization, and Technology influences on the utilization (Net Benefit) of SIMPeL in ORI office. The number of respondents in this study was 79 respondents SIMPeL users who are staff or assistants at representative offices and ORI headquarters. The data in this study were analyzed with the help of the SmartPLS program. The results of the study show that simultaneously humans, organizations, and technology are components that affect the utilization (Net Benefit) of SIMPeL in ORI. The effect of human, organizational, and technological components on SIMPeL utilization was 37.8% while the remaining 62.2% variance in SIMPeL utilization was influenced by other factors outside the three components. Partially, human and technology can also affect the utilization (Net Benefit) of SIMPeL in ORI, while organizational components are not an influential factor in the utilization of SIMPeL in ORI.
Analisis Sentimen Pengguna Marketplace Bukalapak dan Tokopedia di Twitter Menggunakan Machine Learning Irwansyah Saputra; RAHMAD SINGGIH AJI PAMBUDI; HANAFI EKO DARONO; FACHRI AMSURY; MUHAMMAD RIZKI FAHDIA; BENNI RAMADHAN; ANGGIE ARDIANSYAH
Faktor Exacta Vol 13, No 4 (2020)
Publisher : LPPM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/faktorexacta.v13i4.7074

Abstract

      A collection of tweets from Twitter users about Marketplace Bukalapak and Tokopedia can be used as a sentiment analysis. The data obtained is processed using data mining techniques, in which there is a process of mining the text, tokenize, transformation, classification, stem, etc. Then calculated into three different algorithms to be compared, the algorithm used is the Decision Tree, K-NN, and Naïve Bayes Classifier with the aim of finding the best accuracy. Rapidminer application is also used to facilitate writers in processing data. The highest results from this study are Decision Tree algorithm with 82% accuracy, 81.95% precision and 86% recall.
KLASIFIKASI SENTIMEN MASYARAKAT TERHADAP KEBIJAKAN KARTU PEKERJA DI INDONESIA Winda Putri Anggraini; Manda Syari Utami
Faktor Exacta Vol 13, No 4 (2020)
Publisher : LPPM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/faktorexacta.v13i4.7964

Abstract

Masalah pengangguran merupakan salah satu masalah makro ekonomi yang menjadi penghambat dalam pembangunan suatu negara atau daerah. Tingkat Pengangguran Terbuka (TPT) sejak tahun 2011 dan awal tahun 2020 mengalami penurunan tetapi cenderung melambat. Padahal, pemerintah Indonesia melalui Badan Perencanaan Pembangunan Nasional (Bappenas) menargetkan tingkat pengangguran bisa makin mengecil menjadi di bawah 4% pada tahun 2024. Salah satu program pemerintah, yang dicanangkan sejak awal pemerintahan 2019, untuk mengurangi tingkat pengangguran adalah dengan menerbitkan kartu prakerja. Selain itu juga menjadi salah satu solusi untuk menstimulasi para pekerja yang di-PHK, ataupun orang-orang yang mengalami kesulitan mencari pekerjaan pada masa pandemi. Pro dan kontra mengenai kartu prakerja terus bergulir dalam berbagai macam media. Twitter menjadi salah satu media sosial yang digemari oleh banyak masyarakat dunia termasuk di Indonesia dalam menyampaikan aspirasi, kegemaran, dan pendapatnya. Pro kontra yang hangat dibincangkan di twitter mengenai kartu prakerja menjadi hal yang perlu diperhatikan untuk penyempurnaan kebijakan tersebut. Untuk menganalisis respon masyarakat dengan menggunakan data Twitter, dapat dilakukan dengan analisis sentiment menggunakan metode pengklasifikasian Naïve Bayes. Dari model pengklasifikasian data original, training ataupun testing diperoleh hasil persentase respon berupa sentimen negatif terkait kartu prakerja adalah 52.87% lebih besar dibandingkan persentase sentiment positif sebesar 47.13%. Dan juga didapatkan nilai akurasi sebesar 91.06% dari keseluruhan tweet yang diuji.
Analisis Dan Perancangan Simulasi Algoritma Paillier Cryptosystem Pada Pesan Text Dengan Presentation Format Binary, Octal, Hexadecimal dan Base64 Muhamad Femy Mulya; Nofita Rismawati; Dedy Trisanto
Faktor Exacta Vol 13, No 4 (2020)
Publisher : LPPM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/faktorexacta.v13i4.7429

Abstract

Abstrak. Setiap hari ratusan ribu orang yang berinteraksi secara elektronik, melalui media e-mail, e-commerce, mesin ATM ataupun telepon seluler. Peningkatan penyebaran informasi secara elektronik telah mengakibatkan ketergantungan yang meningkat terhadap kriptografi. Salah satu peranan dari kriptografi adalah untuk melakukan pengamanan data yaitu dengan menggunakan algoritma kriptografi. Algoritma paillier cryptosystem merupakan sebuah algoritma asimetris probabilistic untuk kriptografi kunci publik, algoritma paillier cryptosystem digunakan karena komputasi enkripsi dan dekripsi pada algoritma paillier cryptosystem cukup rumit, karena diperlukan dua kali operasi perpangkatan, satu kali operasi perkalian, dan satu kali operasi modulo. Dengan demikian tingkat keamanan algoritma paillier cryptosystem cukup baik. Tujuan dari penelitian ini adalah untuk menganalisa, merancang serta mengimplementasikan simulasi enkripsi dan dekripsi dari pesan text (berupa text writing maupun text file) menggunakan algoritma paillier cryptosystem dengan presentation format sebanyak 4 (empat) format yaitu, binary, octal, hexadecimal dan base64. Dengan demikian pesan text (berupa text writing maupun text file) akan lebih aman pada saat dikirimkan melalui email, sms maupun chatting dari pengirim ke penerima pesan. Adapun perangkat lunak (software) yang akan digunakan untuk membuat simulasi algoritma paillier cryptosystem ini menggunakan Cryptool2. Hasil penelitian menunjukkan bahwa presentation format binary menjadi yang tercepat untuk waktu (ms) proses enkripsi dan dekripsi, sedangkan Presentation format base64 menjadi yang terlama untuk waktu (ms) untuk proses enkripsi dan dekripsi. Kata Kunci: Kriptografi, Paillier Cryptosystem, Cryptool2  Abstract. Every day hundreds of thousands of people interact electronically, through e-mail, e-commerce, ATM machines or cell phones. The increase in the dissemination of information electronically has resulted in an increasing dependence on cryptography. One of the roles of cryptography is to secure data by using cryptographic algorithms. The paillier cryptosystem algorithm is an asymmetric probabilistic algorithm for public key cryptography, the paillier cryptosystem algorithm is used because the computation of encryption and decryption in the paillier cryptosystem algorithm is quite complicated, because it requires two power operations, one multiplication operation, and one modulo operation. Thus, the security level of the paillier cryptosystem algorithm is quite good. The purpose of this research is to analyze, design and implement simulation of encryption and decryption of text messages (in the form of text writing or text files) using the paillier cryptosystem algorithm with 4 (four) presentation formats, namely, binary, octal, hexadecimal and base64. Thus text messages (in the form of text writing or text files) will be safer when sent via email, sms or chat from sender to message recipient. The software that will be used to simulate the paillier cryptosystem algorithm uses Cryptool2. The results showed that the binary presentation format is the fastest for the encryption and decryption process time (ms), while the base64 presentation format is the longest for the time (ms) for the encryption and decryption process. Key words: Cryptography, Paillier Cryptosystem, Cryptool2

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