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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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Studi Kasus Terhadap Alat Penukar Kalor 127-C PUSRI IV Berbasis Simulasi Program Heat Transfer Research Inc. (HTRI) Dengan Variabel Jumlah Plug dan Material Tube Nucke Aurelia; Lia Cundari; Winandyo Mangkoto
Faktor Exacta Vol 15, No 4 (2022)
Publisher : LPPM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/faktorexacta.v15i4.14148

Abstract

Heat exchanger (HE) is used as a medium for heat exchange between fluids. One of the most critical HE at PUSRI, is the 127-C (Ammonia Refrigerant Condenser) in the PUSRI-IV ammonia unit which is supported by 2 identical HEs, namely 127-CA and 127-CB. This HE serves to condense ammonia gas into liquid ammonia. After evaluating the performance of this HE, there was an average decrease of 31.46%. Therefore, it is necessary to optimize this HE, one of which is through research using the HTRI (Heat Transfer Research Inc.) simulator to see the effect of the number of plugs and tube material replacement. The variable number of plugs used are 17, 250, 500, 750 and 1000 for the 127-CA and 21, 250, 500, 750 and 1000 for the 127-CB. As for the tube material variables, namely Carbon Steel (CS), 304- Stainless Steel (304-SS), and 316- Stainless Steel (316-SS). After simulation and analysis were carried out by considering the factors of heat transfer performance, corrosion resistance and cost-benefit, it was concluded that re-tubing with 304-SS material was the most appropriate choice. The maximum number of plugs for CS material is 1000 pieces while for 304-SS and 316-SS materials it is 750 pieces. Heat exchanger (HE) is used as a medium for heat exchange between fluids. One of the most critical HE at PUSRI, is the 127-C (Ammonia Refrigerant Condenser) in the PUSRI-IV ammonia unit which is supported by 2 identical HEs, namely 127-CA and 127-CB. This HE serves to condense ammonia gas into liquid ammonia. After evaluating the performance of this HE, there was an average decrease of 31.46%. Therefore, it is necessary to optimize this HE, one of which is through research using the HTRI (Heat Transfer Research Inc.) simulator to see the effect of the number of plugs and tube material replacement. The variable number of plugs used are 17, 250, 500, 750 and 1000 for the 127-CA and 21, 250, 500, 750 and 1000 for the 127-CB. As for the tube material variables, namely Carbon Steel (CS), 304- Stainless Steel (304-SS), and 316- Stainless Steel (316-SS). After simulation and analysis were carried out by considering the factors of heat transfer performance, corrosion resistance and cost-benefit, it was concluded that re-tubing with 304-SS material was the most appropriate choice. The maximum number of plugs for CS material is 1000 pieces while for 304-SS and 316-SS materials it is 750 pieces.
Pengembangan Sistem Informasi RPTRA Info Menggunakan Metode Prototype Mercy Hermawati; Akbar Muchbarak
Faktor Exacta Vol 15, No 4 (2022)
Publisher : LPPM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/faktorexacta.v15i4.13356

Abstract

RPTRA Info merupakan aplikasi berbasis Android yang digunakan untuk mengetahui informasi lokasi serta sarana dan prasarana yang ada di RPTRA se Jakarta Selatan. Data berupa profil singkat RPTRA beserta foto-foto kondisi sarana dan prasarana yang ada di dalamnya diperoleh dengan cara melakukan survey secara langsung ke lokasi RPTRA. Di masa pandemi Covid19 ini kegiatan di RPTRA dibatasi, sehingga terkadang tidak mengizinkan warga masuk selain petugas. Hal ini tentu saja membuat proses pembaharuan informasi dengan cara survey langsung ke lokasi menjadi terhambat.Untuk dapat selalu memberikan informasi terkini terkait sarana dan prasarana yang ada di RPTRA Jakarta Selatan, maka perlu dibuatkan sebuah sistem informasi yang dapat mengelola data di masing-masing RPTRA oleh masing-masing pengelola RPTRA itu sendiri. Namun diperlukan metode yang tepat dalam merancang sistem tersebut agar dapat sesuai dengan keinginan dari masing-masing stakeholder, dalam hal ini terdiri dari Suku Dinas Pemberdayaan, Perlindungan Anak Dan Pengendalian Penduduk (PPAPP) Jakarta Selatan beserta para pengelola RPTRA yang tersebar di seluruh Jakarta Selatan. Metode yang digunakan yaitu menggunakan metode Prototype, dimana peneliti akan membuat sebuah prototype berdasarkan kebutuhan awal sistem. Hasil rancangan berupa prototype ini dipresentasikan ke seluruh stakeholder dan hanya perlu sedikit penyesuaian mengikuti masukan-masukan dari para stakeholder. Setelah mendapat masukan, selanjutnya dirumuskan masukan mana saja yang akan dieksekusi. Sehingga kemudian dilakukan pembuatan atau penyempurnaan sistem tersebut. Dengan cara seperti ini, dapat mempercepat proses pembuatan sistem mengingat jumlah stakeholder yang cukup banyak yaitu pengelola dari 62 RPTRA dan juga minimnya pemahaman stakeholder mengenai Pengembangan Sistem Informasi. 
Model Matematika pada Penyebaran Penyakit Covid-19 dengan Pengaruh Vaksinasi di DKI Jakarta Rifki DIRJA Ristiawan; Annisa Ulya Solihah
Faktor Exacta Vol 15, No 4 (2022)
Publisher : LPPM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/faktorexacta.v15i4.14114

Abstract

Coronavirus Disease 2019 or Covid-19 is a disease caused by a coronavirus that attacks the respiratory tract causing high fever, cough, flu, shortness of breath, and sore throat. To see the spread of Covid-19 with the effect of vaccination in DKI Jakarta, this study developed the SIR epidemic model into SVIR by adding a population of vaccinated individuals to prevent the spread of Covid-19. This model assumes that individuals are given the vaccine until the second dose. Individuals vaccinated for two doses can still be infected with Covid-19 if they interact with individuals infected with Covid-19. The population is divided into four classes: the vulnerable individual class, the vaccinated individual class, the Covid-19 infected individual class, and the recovered individual class. Construction of the models starts by making a flow chart of the spread of Covid-19 with the effect of vaccination. This model obtains two equilibrium points, namely the disease-free equilibrium  point and the endemic equilibrium point . Analysis of the system's stability around the equilibrium point gives the primary reproduction number . From the analysis results, the system around the disease-free equilibrium point is  locally asymptotically stable when . Then a numerical simulation is carried out to provide a geometric picture related to the results that have been analyzed. The simulation results show that when conditions  occur, the disease will disappear, and under conditions , the disease will become epidemic. To prevent the spread of Covid-19, efforts can be made to reduce direct contact with infected individuals, implement health protocols and increase the proportion of vaccinated individuals.
Sistem Pendukung Keputusan Pemilihan Guru Terbaik Menggunakan Profile Matching Yogi Bachtiar
Faktor Exacta Vol 15, No 4 (2022)
Publisher : LPPM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/faktorexacta.v15i4.11928

Abstract

Teachers are a big foundation in education in Indonesia, without teachers we all will not be smart. There is a need for great respect for teachers, both from the government and schools. There is a need for great respect for teachers, both from the government and schools. teaching teachers must pay attention and give appreciation to teachers so that teachers become enthusiastic in teaching activities. Many teachers have achievements. In giving assessment criteria, subjective ones are often used with good, sufficient and insufficient comparisons so that the teacher's assessment is deemed inappropriate or objective with reality. used to assist decision making. In this paper, a decision support system was chosen using the profile matching method. It is hoped that the teacher selection process can be carried out quickly and accurately)
Pembuatan Peta 3D Urban Model Untuk Visualisasi Dampak Banjir Adkha Yulianandha Mabrur; Feny Arafah; Fransisca Dwi Agustina; Lalu Teguh Suganda
Faktor Exacta Vol 15, No 4 (2022)
Publisher : LPPM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/faktorexacta.v15i4.11419

Abstract

3D modeling is a process to create 3D objects that you want to put in a visual form. A 3D model is a mathematical representation of any three-dimensional object (either inanimate or living). A model is technically graphical until it is visually displayed. Because 3D models are not limited to virtual space. A model can be displayed visually as a two-dimensional image through a process called 3D rendering, or used in non-graphical computer simulations and calculations. In this case, the geographic information system can present a form of modeling of a hydrological phenomenon such as flooding in an area. This study aims to analyze the flood and visualize it in the form of three-dimensional modeling to see the impact of a flood threat due to the Jelateng river’s overflow. This study emphasizes information related to the impact caused by the overflow of the Jelateng river. Making a 3D urban map model will be used as a representation of the appearance of the Jelateng river area and then it will be visualized using DEMNAS data on the arcscene with the animation manager so that the visualization can be seen according to the scenario that will be carried out. The results of the research will be published in a journal so that it can be a reference for some users who want to know related information from the research results
Konfigurasi Hyperparameter Long Short Term Memory untuk Optimalisasi Prediksi Penjualan Ali Khumaidi; Dhistianti Mei Rahmawan Tari; Nuke L. Chusna
Faktor Exacta Vol 15, No 4 (2022)
Publisher : LPPM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/faktorexacta.v15i4.15286

Abstract

To support business development and competition, forecasting capabilities with good accuracy are required. PT. Sumber Prima Inti Motor does not want the customer's spare part needs not to be available when ordered, therefore an appropriate procurement and sales forecasting strategy is needed. Long Short Term Memory (LSTM) is a fairly good algorithm for forecasting, in this study using LSTM to predict sales of spare parts for the next 60 days. The CRISP-DM method is used and to obtain optimal model performance, hyperparameter configuration is performed. The configurations used are number of hidden layers, data partition, epoch, batch size, and dropout scenario. The best results from the LSTM model hyperparameter configuration are 3 hidden layers, 3 dropouts, epoch 150, and batch size 30. The performance of the training and testing models with RMSE is 0.0855 and 0.0846.
Optimalisasi Keuntungan Produk Furniture Menggunakan Metode Simpleks dan Software POM-QM Berbasis Website Sartika Lina Mulani Sitio; Hadi Zakaria
Faktor Exacta Vol 16, No 1 (2023)
Publisher : LPPM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/faktorexacta.v16i1.13554

Abstract

Today, many people are competing to build a business to meet their basic needs. We know that the development of SMEs will have a significant impact on the pace of the Indonesian economy. MJ Furniture is one of the stores that runs a furniture retail business. One of the problems that MJ furniture stores often face is  determining  production to get the maximum benefit they need to get from their daily production activities. This study aims to solve the problems encountered in the MJ furniture business by making linear programming more effective and efficient. The method used to collect the data  is in the form of observations and interviews with  MJ furniture stores. Meanwhile, the data analysis was performed using the simplex method and POM-QM software. Using Simplex calculation results  and the POM-QM application, the MJ shop makes a profit of IDR 5,743,000 by producing 30 mattresses, 10 tables and 13 wardrobes per day. The  system is implemented using the web programming language, PHP, and  data management is performed using MySQL.
Monitoring dan Evaluasi Keamanan Jaringan Dengan Pendekatan System Information and Security Management (SIEM) Muhamad Ramli; Benfano Soewito
Faktor Exacta Vol 16, No 1 (2023)
Publisher : LPPM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/faktorexacta.v16i1.16534

Abstract

Every system produces independent logs. This makes monitoring logs difficult if not done centrally. The research objective is to monitor and evaluate network security using open source-based Security Information and Event Management (SIEM). The research methods include literature studies, SIEM review, observation at the Data and Information System Center (PDSI), simulation of Open Source SIEM implementation by combining devices in real and GNS3 simulation networks, SIEM deployment using Docker, and the final stage of SIEM application evaluation. The implemented SIEM is able to fulfill 84% of the initial requirements. SIEM integrated with Pfsense firewall and Suricata-Intrusion Prevention System (IPS). Monitoring and evaluation features such as detection and alerting, analysis and investigation, compliance and audit, integration and interoperability, monitoring and reporting, support, and maintenance are important parts of SIEM.
Penerapan Location Based Service(LBS) Pada Sistem Pencarian Kontrakan Dengan Metode Prototype Dicky Hermawan; Wiyanto Wiyanto; Tri Ngudi Wiyatno
Faktor Exacta Vol 16, No 1 (2023)
Publisher : LPPM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/faktorexacta.v16i1.14991

Abstract

The lack of information about rentals such as descriptions and prices make it difficult for seekers to determine which rental option is in accordance with their wishes and also the price. With the conventional search process, rent seekers inevitably take the time and energy to find rentals according to their wishes, location and of course the price. This study aims to apply the location base service to support the search for rentals that make it easy and according to the wishes of rented seekers in Bekasi Regency as well as a promotional media for rented business owners for household needs, using the main method, namely location base service to solve the problem of finding a rental business that is still ongoing. many shortcomings and the prototype method as a system development method that supports this research. The result of this research is that the koskuappfront application is able to make renting search more efficient in terms of time and cost, as well as collecting rental information in one container that provides rental information. 
Comparison of Classification Algorithms for Predicting Indonesian Fake News using Balanced and Imbalanced Datasets Sayidati Karima; Achmad Benny Mutiara
Faktor Exacta Vol 16, No 1 (2023)
Publisher : LPPM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/faktorexacta.v16i1.16486

Abstract

Kemajuan teknologi informasi memberikan dampak yang besar, seperti penyebaran berita online. Namun, kabar yang tersebar belum tentu benar adanya. Dalam beberapa penelitian, pendeteksian berita hoax telah dilakukan. Namun, terdapat perbedaan hasil dari beberapa algoritma yang digunakan. Oleh karena itu, dalam penelitian ini dilakukan perbandingan antara algoritma Logistic Regression, Naïve Bayes, Random Forest dan Support Vector Machine untuk memprediksi berita hoax khusus Indonesia dengan dataset seimbang dan tidak seimbang. Tahapan perancangan sistem dimulai dari pengumpulan dataset, pelabelan data, pre-processing, pembobotan TF-IDF, klasifikasi model hingga pengujian. Hasil akurasi tertinggi baik dari jumlah dataset yang tidak seimbang maupun dataset yang seimbang didapatkan dari SVM dengan perbandingan 80:20. Dataset tidak seimbang memiliki akurasi 85,47% dan F1-score 90% dan dataset seimbang memiliki akurasi 84,36% dan F1-score 84,80%. Pada penelitian ini dataset tidak seimbang mendapatkan hasil akurasi yang lebih baik dengan menggunakan algoritma SVM dan jika jumlah dataset yang menjadi target kelas utama lebih banyak maka akan memberikan hasil yang lebih baik.

Page 43 of 53 | Total Record : 523

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