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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 10 Documents
 1 
Search results for , issue "Vol 17, No 1 (2024)" : 10 Documents clear
Sistem Pendukung Keputusan Penerimaan Fotografer Pada Widya Photography Dengan Metode AHP Isnaini, Kurniati; Ismawan, Fiqih; Widiyatun, Fita
Faktor Exacta Vol 17, No 1 (2024)
Publisher : LPPM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/faktorexacta.v17i1.21624

Abstract

Widya Photography merupakan salah satu usaha di bidang jasa fotografi yang berada di wilayah Jakarta Timur. Adapun rumusan masalah dari penelitian ini adalah ketika melakukan rekruitmen calon fotografer, Widya Photography masih dilakukan secara manual dengan menggunakan media kertas. Hal ini tentunya kurang akurat dan optimal. Penelitian ini bertujuan untuk meningkatkan kualitas pelayanan fotografi pada Widya Photography, maka dibuatlah sistem pendukung keputusan penerimaan fotografer pada Widya Photography dengan Metode Analytical Hierarchy Process (AHP) yaitu metode yang digunakan untuk mengevaluasi dan membuat keputusan multi-kriteria, setelah itu akan dilakukan penilaian melalui hasil perangkingan dari perhitungan perbandingan beberapa kriteria dan sub-kriteria. Hal ini dilakukan agar dalam proses penerimaan fotografer menjadi lebih akurat dan optimal.
Rancangan Sistem Kendali Penyiraman dan Pemupukan untuk Perawatan Tanaman Tembakau pada Pusat Budidaya Di Klaten Jawa Tengah Haryono, Faza Juan; Primawati, Alusyanti; Awaludin, Aulia Ar Rakhman
Faktor Exacta Vol 17, No 1 (2024)
Publisher : LPPM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/faktorexacta.v17i1.13914

Abstract

Penggunaan teknologi IoT mampu menjadi salah satu solusi untuk membantu petani tembakau dalam mengontrol tanaman tembakau. Tujuan dari penelitian ini adalah untuk membangun sebuah sistem dan alat yang dapat mempermudah pekerjaan petani tembakau dalam melakukan penyiraman dan pemupukan pada tanaman tembakau melalui aplikasi android. Metode yang digunakan adalah Waterfall meliputi analisis kebutuhan, desain, implementasi, pengujian, dan perawatan sistem. Pembangunan sistem menggunakan Internet of Things, aplikasi android dan mikrokontroler NodeMCU ESP 8266 untuk mengontrol sensor DHT 11, Soil Moisture YL-69, menyalakan water pump dan mengirimkan data ke aplikasi android untuk menginformasikan temperature dan suhu udara pada tanaman, serta dapat mengontrol penyiraman dan pemupukan. Sistem ini juga dapat menampilkan data grafik mengenai temperature dan kelembaban tanah disetiap waktunya. Pengujian sistem dengan metode blackbox, tahapan dimulai memeriksa fungsi masing-masing komponen sistem sensor untuk mengetahu data pada tanaman tembakau. Semua fungsidapat berjalan dengan baik dan melakukan penyiraman dan pemupukan secara merata. Implementasi dari sistem ini akan mempercepat dan mempermudah pekerjaan para petani tembakau dengan melakukan penyiraman dan pemupukan menggunakan aplikasi android sebagai kontrol IoT yang terhubung ke media tanam tembakau
Evaluasi Kinerja Prophet untuk Prediksi Harga Emas Berjangka Primawati, Alusyanti; Trinoto, Andreas Adi
Faktor Exacta Vol 17, No 1 (2024)
Publisher : LPPM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/faktorexacta.v17i1.22013

Abstract

Analisis dan Optimasi Sistem Kendali Robot Falcon Millenium: Automatic Robot Palletizer Menggunakan PLC Omron Wijaya, Ahmad Reynaldi; Mandasari, Raden Deasy; Rosano, Andi
Faktor Exacta Vol 17, No 1 (2024)
Publisher : LPPM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/faktorexacta.v17i1.19593

Abstract

PENERAPAN ALGORITMA NAIVE BAYES CLASSIFIER UNTUK ANALISIS SENTIMEN KOMENTAR TWITTER PROYEK PEMBAGUNAN IKN Zamzami, Faiz; Hidayat, Rahmat; Fathonah, Rina
Faktor Exacta Vol 17, No 1 (2024)
Publisher : LPPM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/faktorexacta.v17i1.22265

Abstract

Kombinasi algoritma base64 dan caesar cipher pada aplikasi Devianto, Yudo; Gunawan, Wawan; Sukowo, Bambang; Susafaati, Susafaati
Faktor Exacta Vol 17, No 1 (2024)
Publisher : LPPM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/faktorexacta.v17i1.20680

Abstract

Digital information systems must also pay attention to data security because it is confidential, there are many problems with data security which result in loss of data or damage caused by irresponsible parties. This research will combine the BASE64 and CAESAR CIPHER algorithms in applications to maintain the security of financial data so that it cannot be seen by users who do not have access to the application. The system development in this research looks like in Figure 1 which uses the Extreme Programming method. The testing carried out was using Black box and white box testing which produced the same cyclomatic complexity value, namely 4. So it can be concluded that the system is running well because the testing produces the same value
Eksplorasi Teknik Web Scraping pada Data Mining: Pendekatan Pencarian Data Berbasis Python Chrisinta, Debora; Simarmata, Justin Eduardo
Faktor Exacta Vol 17, No 1 (2024)
Publisher : LPPM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/faktorexacta.v17i1.22393

Abstract

Fruit Zone : Media Pembelajaran Interaktif Pengenalan Buah Anak Kelompok Belajar Menggunakan ResNet18 Komariah, Siti Ingefatul; Putri, Desti Fitri Aisyah; Rahmawati, Siska Yulia; Fitri, Zilvanhisna Emka; Atmadji, Ery Setiyawan Jullev; Widiastuti, Reski Yulina; Imron, Arizal Mujibtamala Nanda
Faktor Exacta Vol 17, No 1 (2024)
Publisher : LPPM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/faktorexacta.v17i1.21101

Abstract

Learning media is very important in supporting learning activities in early childhood. Limited learning media and learning methods that are still centered on the ability and experience of teachers are an obstacle to improving learning at Pos Alamanda 105 Jumerto, Jember. An interactive, cheap, easy and accessible learning media is needed to improve students' abilities, especially in fruit recognition using both Indonesian and English. The solution, researchers used Deep Learning method for interactive learning media of fruit introduction in early childhood. The method used is Convolutional Neural Network with Resnet18 architecture. This research uses 21 types of popular fruits and unique fruits equipped with voice features in Indonesian and English. The total data of 2100 fruit images with a learning rate of 0.0002 and a maximum epoch of 100 wereable to classify the fruit with an accuracy rate of 96% (system training) and 95% (system testing).
Analisis Trend Topik Penelitian Tesis Pada Program Studi Magister Ilmu Komputer Universitas Budi Luhur Menggunakan Metode Latent Dirichlet Allocation (LDA) Wahyudi, Arief; Bayuaji, Luhur
Faktor Exacta Vol 17, No 1 (2024)
Publisher : LPPM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/faktorexacta.v17i1.21190

Abstract

Every year, thousands of studies are conducted by researchers from various institutions and places, focusing on various fields and topics. This also applies to thesis research conducted by students of the Master of Computer Science Program at the Faculty of Information Technology, Universitas Budi Luhur. Given the significant amount of research over time at Budi Luhur University's Master of Computer Science Program, it has become increasingly difficult to effectively understand research trends and focus. The purpose of this study is to identify trending thesis research topics in the Master of Computer Science Program at Universitas Budi Luhur. The data used in this research includes thesis research titles conducted from 2016 to 2021. The method used in this research is Latent Dirichlet Allocation (LDA). The results of the study produced the best pass value at 28 and the best number of topics was 5 topics. LDA modeling produces 5 research topics that are trending in the period 2016 to 2021, namely sentiment analysis, data analysis, prediction analysis, decision support systems and machine learning.
Peramalan Nilai Tukar Rupiah Terhadap Dolar Singapura dengan Pendekatan Average Based Fuzzy Time Series Markov Chain Rahmah, Syifa Ur; Putri, Ayu Pratika; Siswanto, Siswanto; Kalondeng, Anisa
Faktor Exacta Vol 17, No 1 (2024)
Publisher : LPPM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/faktorexacta.v17i1.21164

Abstract

Exchange rates, representing a country's currency value in terms of another, signify currency relationships between nations. Indonesia's strong economic ties with Singapore see the Singapore Dollar boasting the highest exchange rate against the Indonesian Rupiah in Asia. The Rupiah-Singapore Dollar exchange rate is marked by fluctuations, necessitating precise forecasts. One effective forecasting method is the average-based Fuzzy Time Series (FTS) Markov Chain. This method calculates intervals based on averages and leverages the Markov Chain concept, employing a transition probability matrix to enhance accuracy. The average-based FTS Markov Chain predicts the Rupiah-Singapore Dollar exchange rate from May 16, 2023, to October 13, 2023, delivering an impressively low Mean Absolute Percentage Error (MAPE) of 0.3642%. Notably, the forecast for October 14, 2023, is 11.583.73. Consistently, this method, blending interval formation through FTS and probability transition matrix from the Markov Chain, provides reliable forecasts. These insights are invaluable for decision-makers, empowering them to proactively address potential fluctuations that might contribute to inflationary pressures on Indonesia's economy.

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