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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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Mikro-Irigasi Cerdas dengan Sprinkler Menggunakan Fuzzy Logic Pada Lahan Terbatas Untuk Pertanian 4.0 Abdul Haris; Hengki Sikumbang; L.M Syahrul Anwar
Faktor Exacta Vol 14, No 4 (2021)
Publisher : LPPM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/faktorexacta.v14i4.10742

Abstract

Most irrigation systems in Indonesia use surface irrigation systems or conventional irrigation, which are still heavily influenced by Earth's gravity, making it very difficult to manage and monitor. while current technological developments are almost evenly distributed throughout Indonesia with an already very good internet network, so that it can be used to support agricultural systems 4.0. In this study, researchers used intelligent computing technology on micro irrigation with Fuzzy Logic algorithm and Sugeno inference to decide when irrigation water is distributed to sprinkler irrigation systems based on a predetermined range value, then the results are evaluated to see the accuracy of the model that has been made before testing in the actual environment. The purpose of this research is to produce smart micro irrigation technology that can be used on limited land and lack of water so that it can help facilitate the work of farmers.
Prediksi Penjualan Kendaraan Niaga Berdasarkan Kinerja Purnajual dan Pertumbuhan Pasar Novika Ginanto; Setia Wirawan
Faktor Exacta Vol 14, No 4 (2021)
Publisher : LPPM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/faktorexacta.v14i4.9447

Abstract

Indonesia is one of the largest automotive market in South East Asia with highly demand of passenger and commercial vehicle. Commercial vehicle is used to distribute product to customers, then commercial vehicle strongly related with business growth. Gaikindo said that automotive business growth went down as 10.6%, it would effect to automotive company performance, especially vehicle stock ratio. Vehicle stock ratio can affect to financial and resources planning. Therefore, the forecasting was to be important to predict the market demand in future.  Basically, commercial vehicle would be used in along day due to business value, therefore aftersales services was critical point. In this case, sales forecasting of commercial vehicle (dependent variable) was approached by trend of aftersales performance and market growth (independent variable). Aftersales performance consist of aftersales revenue and unit served volume, then market growth using SAMSAT data. Prediction method used multiple linear regression due to forecasting capability with many variables. And the result using SPSS application was confirmed that independent variable affect to commercial vehicle sales volume and not multicollinearity. The result error of MAD was 3.80.  So that, sales forecasting of commercial vehicle can be predicted based on aftersales performance and market growth using multiple linear regression. Indonesia is one of the largest automotive market in South East Asia with highly demand of passenger and commercial vehicle. Commercial vehicle is used to distribute product to customers, then commercial vehicle strongly related with business growth. Gaikindo said that automotive business growth went down as 10.6%, it would effect to automotive company performance, especially vehicle stock ratio. Vehicle stock ratio can affect to financial and resources planning. Therefore, the forecasting was to be important to predict the market demand in future.  Basically, commercial vehicle would be used in along day due to business value, therefore aftersales services was critical point. In this case, sales forecasting of commercial vehicle (dependent variable) was approached by trend of aftersales performance and market growth (independent variable). Aftersales performance consist of aftersales revenue and unit served volume, then market growth using SAMSAT data. Prediction method used multiple linear regression due to forecasting capability with many variables. And the result using SPSS application was confirmed that independent variable affect to commercial vehicle sales volume and not multicollinearity. The result error of MAD was 3.80.  So that, sales forecasting of commercial vehicle can be predicted based on aftersales performance and market growth using multiple linear regression.  
PENGENDALI MONITORING PENYIRAMAN TAMAN BERBASIS ARDUINO MELALUI PARAMETER APRS (AUTOMATIC POSITION REPORTING SYSTEM ) abdu rahman; Fiqih Ismawan
Faktor Exacta Vol 14, No 4 (2021)
Publisher : LPPM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/faktorexacta.v14i4.10526

Abstract

Kondisi cuaca yang kurang menentu menyebabkan beberapa dampak, diantaranya adalah kadang kadar kelembaban tanah kurang atau terlalu tinggi. Kondisi kelembaban tanah sangat mempengaruhi kondisi kesehatan tanaman yang ada di wilayah daerah tersebut. Kesehatan tanaman yang buruk dapat mempengaruhi keindahan taman. Kurangnya keindahan taman dapat menyebabkan berkurang pengunjung baik yang bermukim didekat wilayah taman maupun yang jauh dari taman tersebut. Apabila kondisi kelembaban rendah perlu adanya penyiraman secara langsung untuk menaikan kelembaban. Kondisi tersebut karena penyiraman secara manual menggunakan fungsi manusia perlu untuk meluangkan waktu dan kesabaran. Masalah waktu yang lebih sulit dihindari, hal tersebut karena kesibukan manusia dan lebih terasa cepatnya waktu saat ini. Tujuan penelitian merancang sistem irigasi yang berjalan secara otomatis dengan memonitor kelembaban tanah untuk perawatan taman. Metode penelitian yang akan di gunakan dengan melakukan desain konsep alat pengendali otomatis penyiraman tanaman, observasi berdasarkan pengukuran data sistem aprs internet system, serta mengintegrasikan hasil pantauan data dengan konsep alat pengendali otomatis penyiraman taman. Hasil penelitian yaitu memadukan konsep teknologi otomatis yang berkembang saat ini dengan menggunakan Arduino sebagai alat pengendali penyiraman air dan data dari APRS (Automatic Packet Reporting System), sebagai data pendukung dalam kondisi kelembaban tanah di wilayah taman yang memerlukan sistem otomatis berupa data yang real time.
Implementasi Algoritma Naïve Bayes Classifier untuk Mendeteksi Berita Palsu pada Sosial Media Nova Agustina; Adrian Adrian; Mercy Hermawati
Faktor Exacta Vol 14, No 4 (2021)
Publisher : LPPM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/faktorexacta.v14i4.11259

Abstract

Hoax news (lie) on the internet has become a global problem that causes turmoil in society. Its presence can disrupt democratic order, the stability of social, cultural, political and economic life. The results of the research of the Indonesian Telematics Society showed that as many as 44.3% of respondents said they received fake news or misinformation every day. According to information released by Kominfo until August 11, 2021, there were 1848 hoax reports regarding the Covid-19 pandemic, 290 hoax reports regarding the Covid-19 Vaccine. Naïve Bayes Classifier is a classification method based on Bayes theorem, which in this paper is used to detect fake news on social media. The analysis was carried out using the Naïve Bayes Classifier algorithm, in this study using the CRISP-DM (Cross-Industry Standard Process for Data Mining) model. Training data sourced from the Kumparan site as much as 300 Data. In the process carried out using the python library for NLP, namely "satrawi". In testing the model using the confusion matrix method which consists of the number of rows of test data that are predicted to be true and false by the classification model used. At the deployment stage the model is pushed to Heroku so that users can predict news directly through the provided User Interface.
Implementasi Metode Quantitative dan Qualitative Pada Risk Analysis & IT Risk Management Asep Syaputra; Buhori Muslim
Faktor Exacta Vol 15, No 1 (2022)
Publisher : LPPM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/faktorexacta.v15i1.12040

Abstract

The purpose of this study is to produce blue prints based on the level that positively and negatively affects hardware and software in one of the Agencies in City which will later become a benchmark to avoid or overcome problems that will be faced in the IT governance and IT infrastructure. IT governance is a process relationship structure that guides and controls an organization to achieve its vision and mission by creating value that balances risk with IT and its processes. An IT facility is an entity that performs the administrative and management functions of all IT applications in the Department XYZ environment for protection against unwanted threats that require risk management assessment. Minimize the danger or risk that may arise. The two analytical methods used in this study are quantitative and qualitative risk analysis. In the future, the quantitative risk analysis (QRA) approach will focus more on analyzing the condition of IT assets to find risk factors that need serious consideration and handling. For qualitative risk analysis methods, NIST SP 80030 is used to analyze various threat and risk attributes for to provide guidelines for the management of IT facilities in Department XYZ. Based on the QRA risk assessment, it was concluded that server-class IT resources are counted as the biggest potential loss to the Service. This is reflected in the risk aspect, where power losses have the most potential damage. Qualitative assessment of risk management according to NIST SP 80030 found that the sources of high-risk threats are high-risk power grids and the Internet. This level of risk can be identified during the threat source classification process. Submission of all risk analysis results can provide the results of risk recommendations communicated with departement IT management. To then be able to help the campus make decisions that include policies, procedures, budgets, operating systems and change management.
Preferensi Masyarakat Terhadap Quick Response Code Indonesian Standard Sebagai Sarana Teknologi Pembayaran Digital Rina Mayanti
Faktor Exacta Vol 15, No 1 (2022)
Publisher : LPPM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/faktorexacta.v15i1.11421

Abstract

The development of electronic money transactions have grown rapidly especially in the digital payment sector. This study aims to analyze the acceptance factors of user intentions in the application of the Quick Response Indonesia Standard as an electronic wallet payment technology. The user acceptance regarding the Quick Response Indonesia Standard  implementation is predicted by user technology acceptance model Unified Theory of Acceptance and Use Technology 2. The object of this study is the Shopeepay and OVO digital wallet user who is domiciled in Jakarta. Data collection techniques by google forms. The independent variables used in this research are all Unified Theory of Acceptance and Use Technology2 model variables except age, gender, experience, and price value using Partial Least Squares-Structural Equation Modelling analysis techniques. The result of this  syudy indicate that the facilitating conditions and hedonic motivation affect the user's behavioral intention for using QRIS as their payment technology, and behavioral intention also gives the effect to their use behavior.
Pemanfaatan Application Programming Interface (API) pada Aplikasi Layanan Jasa Perbaikan Kendaraan Bermotor Ilham Fitrahriansyah; jajam Haerul Jaman
Faktor Exacta Vol 15, No 1 (2022)
Publisher : LPPM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/faktorexacta.v15i1.9848

Abstract

Perbaikan maupun perawatan kendaraan merupakan salah satu dari berbagai macam jenis pelayanan yang ada pada bengkel motor/ mobil. Para pengguna kendaraan mengalami kesulitan bila tidak ada kontak atau komunikasi dengan bengkel untuk melakukan pemanggilan teknisi. Teknisi yang di panggil membutuhkan waktu lama bila tidak mengetahui jalur atau rute perjalanan untuk sampai lokasi pengendara. Diperlukannya adanya suatu sistem yang berfungsi sebagai pemesanan teknisi, lokasi pengendara dan  pelaporan pelayanan. Metodologi meliputi tahap pengumpulan data (studi literatur, observasi, dan wawancara) dilanjutkan ke tahap pengembangan sistem menggunakan metode SDLC dengan pengembangan aplikasi yang dibangun menggunakan model pendekatan Prototype. Pengujian standar aplikasi menggunakan white box testing, black box testing dan juga evaluasi kepada pengguna. Hasil yang didapat adalah seluruh menu dapat berjalan sesuai fungsinya masing-masing, dan hasil evaluasi yang dilakukan dengan survey kepada 30 sampel pelanggan, admin, dan teknisi.  Dengan adanya aplikasi ini dapat mengatasi permasalahan pemesanan selama ini, hal tersebut dibuktikan dengan kuisioner dengan rata-rata nilai 7.5 yang artinya “setuju” dengan adanya aplikasi pelayanan jasa teknisi ini.
IMPLEMENTASI ALGORITMA COLLABORATION FILTERING DALAM WEBSITE E-COMMERCE (STUDI KASUS TOKO INDRI COLLECTION) Fajar Rizky; Wawan Gunawan
Faktor Exacta Vol 15, No 1 (2022)
Publisher : LPPM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/faktorexacta.v15i1.11741

Abstract

teknologi informasi dan ilmu pengetahuan mengalami pengembangan dan semakin maju, Saat ini yang berkembang adalah  situs belanja online, situs belanja online lebih popular dengan sebutan E-Commerce. Perkembangan situs belanja online membuat pelaku usaha memulai menjual barangnya melalui situs belanja online. E-Commerce merupakan tempat suatu kegiatan jual-beli yang di lakukan secara online antara pelanggan dan penjual tanpa harus bertemu langsung melalui situs atau website.Toko Indri Collection memasarkan dan menjual barang menggunakan media sosial, memasarkan dan menjual barang di sosial media sangat tidak aman untuk penjual dan pelanggan. Toko Indri Collection masih melakukan pencatatan secara manual dengan cara mencatat di buku. Cara seperti ini membutuhkan waktu yang lama untuk mencari data transaksi penjualan dan juga merekomendasikan barang kepada pelanggan. Dengan pembuatan website dan menggabungkan algoritma Collaborative Filtering dapat membantu penjualan agar dapat menginformasikan barang berkualitas berdasarkan rating pada produk. Dengan collaborative filtering menghasilkan prediksi tertingi yaitu dengan angka 5 dan 3.966
Penerapan QR Code pada Website E-commerce PT. Bravo Satria Perkasa dengan Algoritma Reed-Solomon Code dan Regression Linear Dian Fatimah
Faktor Exacta Vol 15, No 1 (2022)
Publisher : LPPM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/faktorexacta.v15i1.10265

Abstract

Pengelolaan atau manajemen stok yang baik sangat dibutuhkan dalam penjualan, khususnya penjualan dalam skala besar. PT.Barvo Satria Perkasa merupakan perusahaan yang masih melakukan pengelolaan stok barang secara manual, dimana pengeloaan secara manual memiliki resiko selisih stok yang cukup besar. Salah satu solusi untuk mengurangi resiko selisih stok yaitu dengan pengelolaan secara digital. Bentuk dari pengelolaan secara digital yang dituju yaitu penggunaan QR Code pada website E-Commerce dengan algoritma Reed-Solomon Code.  Penggunaan algoritma Reed-Solomon Code pada aplikasi berfungsi untuk men-generate QR Code, dimana akan terjadi proses scan barang sebelum dilakukannya proses packing pada penjualan offline, guna menandai produk, baik yang sudah dikirim maupun yang belum dikirim. Selain sebagai error detection Reed-Solomon Code juga bertugas sebagai error correction.
Prediksi Kelulusan Mahasiswa Dengan Metode Naive Bayes dan Artificial Neural Network : Studi Kasus Fakultas Teknik UNIS Tangerang Ummu Habibah Romlah; Achmad Solichin
Faktor Exacta Vol 15, No 1 (2022)
Publisher : LPPM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/faktorexacta.v15i1.11816

Abstract

The faculty of engineering has 4(four) studies programs namely, informatics engineering, civil engineering, industrial engineering, chemical engineering. The number of lecturers and students owned by the Faculty of Engineering based on PDDikti Year1 2019/2020 reporting data is 41 permanent lecturers and 750 students. The problems faced by the Faculty of Engineering UNIS Tangerang include the low percentage of students who graduate on time compared to students who graduate not on time. In the 2015/2016 graduation year, only 30% of students passed on time, the rest did not graduate on time. This study aims to assist the Faculty of Engineering in predicting student graduation, so that it can be anticipated earlier. This research uses the attributes of total credits, 1st semester IP, 2nd semester IP, 3rd semester IP, 4th semester IP. The methods used in this research are Naïve Bayes and Artificial Neural Network. The data used in this study used 330 records of students who graduated in 2012-2016. The results of the accuracy obtained after testing with the system using 20% data testing obtained an accuracy of 63.63%, 71.05% precision, 67.5% recall, and 62.6% AUC.

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