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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 523 Documents
 44   45   46   47   48 
Sistem Pakar Diagnosa Penyakit Berisiko Di Setiap Status Gizi Berdasarkan Indeks Massa Tubuh Menggunakan Metode Hy-brid Case Base Pratama, Rifqhy Rayhan Andi Riga; Norhikmah, Norhikmah
Faktor Exacta Vol 16, No 3 (2023)
Publisher : LPPM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/faktorexacta.v16i3.17686

Abstract

Nutritional status is an indicator of health for a person which is divided into four classifications, namely, Obesity, Overweight, Normal Weight, and Underweight. and nutritional status can be obtained by calculating the body mass index (BMI) of the person by dividing the body weight (kg) by the height (m2). after knowing the nutritional status, a diagnosis can be made by applying the Hybrid Case Base method. Applicationing of this method is too precise because it can provide accurate diagnostic results because this method combines two methods, namely Case Based Reasoning and Rule Based Reasoning. With this expert system, it can help people to find out their nutritional status and whether they have a risky disease or not, especially for people who don't have a lot of free time to consult with doctors so they can do it only by using the expert system that has been created. This method is quite fast and practical and provides accurate diagnostic results as well.
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
Penerapan Algoritma Sweep dan Particle Swarm Optimization (PSO) sebagai Alternatif Menentukan Rute Distribusi Fauzi, Ilham Saiful; Wardani, Imaniah Bazlina; Putra, Indra Lukmana; Puspitasari, Peni
Faktor Exacta Vol 16, No 4 (2023)
Publisher : LPPM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/faktorexacta.v16i4.18962

Abstract

One aspect of marketing activities is distribution. In the process of distributing goods, it is important to determine the optimal route that minimize mileage and reduce costs. This study aims to provide alternative solutions in determining distribution routes with the shortest distance which has implications for shorter travel times and lower costs. This research adapts the Capacitated Vehicle Routing Problem (CVRP) model with the approach of sweep and Particle Swarm Optimization (PSO) algorithm to determine the route. To generate a comparison route, we use the Nearest Neighbor (NN) algorithm. The result was that 100 agents were divided into 6 clusters and the total distance of the PSO-generated route is 218.115 units or 85.70% of the route distance generated by Nearest Neighbor algorithm.
Pemanfaatan Algoritma K-Means dalam Klasterisasi Gempa Sulawesi Wibowo, Arief; Gunawan, Wawan
Faktor Exacta Vol 17, No 3 (2024)
Publisher : LPPM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/faktorexacta.v17i3.23169

Abstract

Indonesia is a region that frequently experiences earthquakes, especially in the Sulawesi area which has significant active faults. Sulawesi is an area that has quite high seismic intensity, and there are several active faults which are earthquake source zones. This study uses M-Means with a total of 9,710 records starting from 2019-2023 and the attributes consist of event_id, date_time, latitude, longitude, magnitude, mag_type, depth_km, phase_count, azimuth_gap, location, agencydengan. This data processing compares magnitude and depth consisting of 3 clusters, namely 51-132 Km depth with a total of 1,311, 3-50 Km depth with a total of 7,527, 133-300 Km depth with a total of 872, while the process with magnitude, depth and azimuth gap attributes consists of 4 clusters with each cluster respectively 3,957, 1,546, 1,458, and 2,749. By using a different set of input features, this research identifies that the results from 3 clusters or 4 clusters indicate that the province of South Sumatra shows a high level of earthquake proneness and frequent frequency in all clusters with the epicenter of the earthquake being in the Maluku Sea, between South Sulawesi with Southeast Sulawesi, as well as the province of Gorontalo. Based on the results obtained, there is a need for early prevention related to disasters, especially earthquakes that occurred on the island of Sumatra based on earth faults that run through the island..
Implementasi Metode Simple Additive Weighting Pada Perancangan Sistem Penilaian Reseller di Showroom Aska Motor Garage Ananda, Rizki; Yulianingsih, Yulianingsih; Megiati, Yunita Endra
Faktor Exacta Vol 17, No 2 (2024)
Publisher : LPPM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/faktorexacta.v17i2.20768

Abstract

Aska Motor Garage Showroom is a company engaged in motorcycle sales. As a sales-oriented business, Aska Motor Garage needs a strategy to boost its sales. One of the strategies that can be implemented is by establishing partnerships with resellers through the provision of rewards in the form of incentives. Therefore, there is a need for an objective and measurable assessment system. The Simple Additive Weighting method is one of the techniques used to determine the best value based on criteria and weights that can be customized according to the partners' needs, and it is considered quite appropriate for use in this research. The result of this system design is a decision support system that provides information about the assessment of the top resellers, using four supporting criteria, including monthly sales, innovation, work quality, and adherence to target pricing.
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

Perancangan Diagnosa Covid-19 Menggunakan Metode Case Based Reasoning (CBR) Untuk Mengidentifikasi Tingkatan Gejala Pasien Covid-19 Rismawati, Nofita; Mulya, Muhamad Femy
Faktor Exacta Vol 16, No 4 (2023)
Publisher : LPPM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/faktorexacta.v16i4.19767

Abstract

Analisis Sentimen Terhadap Kontroversi Putusan MK Mengenai Usia Capres-Cawapres Menggunakan Multi-Layer Perceptron Dengan Teknik SMOTE Sasmita, Sasmita; Jariah S.Intam, Rezki Nurul; Surianto, Dewi Fatmarani; B, Muhammad Fajar
Faktor Exacta Vol 17, No 2 (2024)
Publisher : LPPM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/faktorexacta.v17i2.22442

Abstract

In October 2023, the Constitutional Court's decision on age limit requirements for presidential and vice-presidential candidates stirred controversy, perceived as favoring a specific vice-presidential candidate. Public reactions flooded social media platforms, particularly on Najwa Shihab's YouTube channel, where sentiment analysis was conducted on 505 comments under the video titled "Putusan MK: Publik memang Seharusnya Marah" (Constitutional Court Decision: The Public Should Indeed Be Angry). The comments were categorized into three sentiment classes: 425 negative, 42 neutral, and 38 positive. The study employed Multi-Layer Perceptron (MLP) models tested on both imbalanced and balanced data using the SMOTE oversampling technique. Two feature extraction methods, TF-IDF weighting and countvectorizer, were applied. Results showed that the combination of TF-IDF with balanced data yielded the most effective classification model, boasting a remarkable accuracy, precision, recall, and F1-score, each at 99%.
Electronic Voting (e-voting) sebagai Aplikasi Terdesentralisasi pada Vexanium Blockchain Bramasto, Suryo; Savitri, Sandriana Febia; Djuwitaningrum, Endang Ratnawati
Faktor Exacta Vol 17, No 2 (2024)
Publisher : LPPM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/faktorexacta.v17i2.19405

Abstract

Page 46 of 53 | Total Record : 523

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