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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
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DEVELOPMENT OF AN E-COMMERCE PLATFORM USING EXTREME PROGRAMMING METHODOLOGY Maulana, Affan; Mardiana, Mardiana; Pradipta, Rio Ariesta
Faktor Exacta Vol 17, No 3 (2024)
Publisher : LPPM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/faktorexacta.v17i3.23248

Abstract

Pemodelan Penentuan Pupuk Menggunakan Metode AHP dan SAW Eliyani, Eliyani; Gunawan, Wawan; Wahyuningram, Nugroho; Triyono, Gandung
Faktor Exacta Vol 17, No 3 (2024)
Publisher : LPPM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/faktorexacta.v17i3.24580

Abstract

The dataset used in this study comprises criteria and fertilizer brands for rice, based on assessments conducted by farmers. The criteria were: price (C1), product (C2), quality (C3), quantity (C4), recommendation (C5), effectiveness (C6), and suitability (C7). Each criterion is weighted as Very Good (4), Good (3), Fair (2), and Poor (1). The evaluated fertilizers consisted of 15 brands: Nitrea, Caping Tani, Pertiphos, NPK padi kuning, SP 36, Meroke, Pusri, Nitroku, Ponska, ZA, Urea, and NPK Pak Tani. The assessments were carried out by distributing questionnaires to 50 farmers who shop at Cv. Sari Alam Tani Store, where farmers could select more than one brand of fertilizer. The most chosen fertilizer by the farmers was Urea. This study aims to verify if Urea is indeed the best fertilizer using the AHP and SAW algorithms based on the established criteria. The results indicate that NPK Padi Kuning was ranked first with a score of 1.72, followed by NPK Tawon and NPK Pak Tani with scores of 1.61 and 1.40, respectively. Urea, despite being the most chosen by farmers, ranks fourth with a score of 1.25.
Implementasi Algoritma Greedy Untuk Optimalisasi Jarak Tempuh Rute Ziarah Makam Walisongo Bachtiar, Yogi
Faktor Exacta Vol 17, No 3 (2024)
Publisher : LPPM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/faktorexacta.v17i3.23322

Abstract

Religious tourism is one of the acts of visiting a place carried out by religious people. Tourist trips sometimes face problems because some places are far apart. One important element of the pilgrimage process that must be carefully considered is the mileage of the pilgrimage route. Choosing a route that matches the distance and travel time allows many advantages, one of which is the reduction of fuel consumption during the trip. this research will try to use the Greedy Algorithm to solve the problem of optimizing the Walisongo pilgrimage tour route on the island of Java. As a result, the selected route on the Walisongo Tomb pilgrimage is S?W9?W8?W7?W6?W3?W5? W1?W1?W2 with a total travel distance of 819 Km (one way). The use of the Greedy algorithm does not always produce the shortest route, but will result in the selection of the Optimum route from one location to the next. So that it can save fuel usage and travel time between locations.
SISTEM PENDUKUNG KEPUTUSAN PENENTUAN BONUS KARYAWAN PADA PT GAHAKA KARYA PRIMA MENGGUNAKAN METODE SAW Subekti, Aditya Rindang; Yulianingsih, Yulianingsih; Prasetya, Rudi
Faktor Exacta Vol 17, No 4 (2024)
Publisher : LPPM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/faktorexacta.v17i4.25117

Abstract

Analisis Model Matematika dan Simulasi Penyebaran dan Penanganan Penyalahgunaan Narkoba di Indonesia Ristiawan, Rifki; Endaryono, Endaryono; Mahyudi, Mahyudi
Faktor Exacta Vol 17, No 4 (2024)
Publisher : LPPM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/faktorexacta.v17i4.25201

Abstract

he increasing abuse of narcotics, psychotropic substances and addictive substances is a big problem in Indonesia today. The spread of drugs is increasing rapidly to the point that it can be considered a disaster. This research uses literature study methods and data analysis to determine assumptions and distribution models, then analyzes the models and carries out numerical simulations. A mathematical model was created to see the pattern of the spread of drug abuse and analyzed analytically to determine the existence of an equilibrium point and the type of stability, as well as to obtain the basic reproduction number . Numerical simulations were carried out to see distribution patterns in the next few years. From the results of the numerical simulations, information was obtained that to suppress the spread of drug abuse, efforts that can be made are to reduce the rate of recruitment of vulnerable classes by dealers and the rate of change from users to dealers.
Learning object reusability evaluation on the free national e-learning system Risaf, Karin A.; Khalida, Rakhmi; Supono, Riza Adrianti
Faktor Exacta Vol 17, No 4 (2024)
Publisher : LPPM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/faktorexacta.v17i4.26562

Abstract

Optimalisasi Model Klasifikasi Naive Bayes dan Support Vector Machine Dengan Fast Text dan Chi Square Pada Analisis Sentimen Penyelenggaraan Pembelajaran Pemrograman di Fasilkom Universitas Mercu Buana Fajriah, Riri; Kurniawan, Denni
Faktor Exacta Vol 17, No 4 (2024)
Publisher : LPPM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/faktorexacta.v17i4.24751

Abstract

The implementation of effective programming learning at the Faculty of Computer Science, Universitas Mercu Buana is one of important strategy. This expectation is constrained because the results of the evaluation of the competency achievements of many graduates have not mastered programming skills well. Therefore, the research conducted is related to analyzing the sentiments of all stakeholders who have been involved with the implementation of programming learning. The data source based on the results of an online questionnaire. The sentiment data analysis process uses the Cross Industry Standard Process for Data Mining method with the Naive Bayes and Support Vector Machine classification models. The result of the research is an increase in the accuracy of sentiment analysis data processing which previously only used the Naive Bayes Algorithm only achieving an accuracy of 65.56% and by optimizing with Feature Extraction Fast Text, the accuracy achievement increased to 90.49%. While optimizing the algorithm using Feature Selection Chi Square can make the Support Vector Machine classification model optimized to achieve an accuracy value of 99.58% from the previous accuracy achievement was 90.72%. This research can prove that optimizing the application classification model algorithms can use using Fast Text and Chi Square techniques.
Sistem Informasi Manajemen Pemesanan Produk RIZAL Wedding Organizer Berbasis Web Mayanti, Rina; Pratiwi, Sekar Ageng; Hidayat, M Irfan; Zana, Sanusi Ibnu
Faktor Exacta Vol 17, No 4 (2024)
Publisher : LPPM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/faktorexacta.v17i4.27733

Abstract

Penerapan Metode Naïve Bayes Pada Pengaruh Penggunaan Gadget Terhadap Nilai Siswa Sekolah Dasar Nurhalimah, Nurhalimah; Nurhasanah, Nurhasanah
Faktor Exacta Vol 18, No 1 (2025)
Publisher : LPPM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/faktorexacta.v18i1.27183

Abstract

Saat ini, penggunaan gadget telah menjadi bagian dari kehidupan sehari-hari, termasuk bagi siswa sekolah dasar. Gadget sering digunakan untuk menunjang proses pembelajaran, namun penggunaan yang berlebihan dan tidak terkontrol dapat berdampak negatif terhadap prestasi akademik siswa. Penelitian ini bertujuan untuk menganalisis pengaruh penggunaan gadget terhadap nilai akademik siswa sekolah dasar dengan menerapkan metode Naïve Bayes sebagai teknik klasifikasi. Metode Naïve Bayes digunakan untuk mengklasifikasikan data berdasarkan beberapa variabel, yaitu durasi penggunaan gadget, jenis aktivitas dengan gadget, dan pola belajar siswa. Hasil penelitian menunjukkan bahwa siswa yang menggunakan gadget dengan durasi yang terkontrol dan untuk ak-tivitas edukatif cenderung memiliki nilai akademik lebih tinggi dibandingkan dengan mereka yang menggunakan gadget secara berlebihan untuk hiburan. Selain itu, pola belajar yang lebih ter-struktur, seperti belajar secara mandiri atau dengan bimbingan, ber-kontribusi positif terhadap prestasi akademik siswa. Penelitian ini memberikan wawasan mengenai pentingnya pengawasan dan pengelolaan penggunaan gadget bagi siswa sekolah dasar. Dengan adanya hasil ini, diharapkan orang tua dan pendidik dapat lebih bijak dalam mengarahkan penggunaan gadget agar lebih optimal dalam mendukung proses pembelajaran.
Comparison of PID and Fuzzy Logic Controller Performance on Linear and Nonlinear Dynamics of a Quadrotor Zuhri, Muhammad Rizki
Faktor Exacta Vol 18, No 1 (2025)
Publisher : LPPM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/faktorexacta.v18i1.26091

Abstract

Page 50 of 53 | Total Record : 523

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