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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.
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Articles 10 Documents
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Search results for , issue "Vol 15, No 4 (2022)" : 10 Documents clear
Perbandingan Metode Euclidean Distance dan Haversine Distance pada Aplikasi Sistem PPDB dan algoritma K-Means Untuk Menentukan Kebijakan Peraturan Zonasi Mustofa Kamal Syarifudin; Ratih Titi Komala Sari
Faktor Exacta Vol 15, No 4 (2022)
Publisher : LPPM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/faktorexacta.v15i4.14795

Abstract

At this time, registration for public schools is straightforward to do online with a device via a web browser without the need to install an application that can ease the device's performance. Still, the government regulates it through a zoning policy that makes students register for schools close to their homes. This study examines and compares which Euclidean and Haversine algorithms are more accurate to implement in making an application that determines the distance between the school and the student's house. Then the school will decide which students can be accepted using the K-Means algorithm, as has been done by SMPN 1 Tigaraksa, which results that the haversine algorithm has an average accuracy rate of 99.71%, an average error of 0.29% with an average distance difference of 1.86 meters. In comparison, Euclidean has an accuracy rate of 99.65%, an average -the average error is 0.35% with the difference in average distance at the actual length of 2.42 meters. Therefore, the difference in distance between the two algorithms obtained is 1.27 meters. And the K-Means Algorithm can be the proper method for making decisions because the algorithm groups according to the farthest, medium, and closest distances
Perbaikan Tata Letak Gudang Dengan Metode Shared Storage Pada Distributor Mawar Super Laundry Surya Perdana; Tiara Tiara; Adik Ahmad Unggul Nugeroho
Faktor Exacta Vol 15, No 4 (2022)
Publisher : LPPM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/faktorexacta.v15i4.13125

Abstract

Perancangan gudang merupakan salah satu hal yang harus diperhatikan dalam industri manufaktur. Dalam merancang layout gudang harus memperhitungkan kecepatan gerak barang, dimana barang yang bergerak cepat diletakkan lebih dekat, sehingga mengurangi gerakan bolak-balik. Salah satu distributor Mawar Super Laundry cabang Condet mengalami masalah dalam pengelolaan gudang yang tidak tertata dengan baik. Sehingga perlu adanya perancangan ulang tata letak gudang agar penempatan produk lebih efisien serta lebih tertib. Untuk menyelesaikan permasalahan tersebut dalam penelitian ini akan menggunakan metode shared storage agar didapat hasil layout yang lebih efektif dan efisien sehingga dapat meminimalkan ongkos material handling. Kondisi tata letak pada gudang distributor mawar yang sekarang tidak memiliki aturan yang pasti, produk yang datang diletakkan pada lahan yang kosong. Keadaan ini menimbulkan proses pencarian produk menjadi lebih lama. Dalam tata letak perbaikan usulan dengan penerapan metode Shared Storage, menempatkan produk berdasarkan urutan Frekuensi yang terbesar pada slot yang memiliki jarak tempuh terpendek terhadap titik I/O point atau pintu gudang. Ketentuan ini adalah untuk memudahkan trolly pada proses pengambilan dan penyimpanan produk serta meminimasi jarak total material handling.
Penentuan Batas Gain Kanal Modulasi Adaptif V2V dengan Doppler Shift yang Bervariasi Menggunakan Machine Learning Nazmia Kurniawati; Aisyah Novfitri; Arti Suryaning Tyas
Faktor Exacta Vol 15, No 4 (2022)
Publisher : LPPM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/faktorexacta.v15i4.14578

Abstract

Doppler shift is a phenomenon that occurs when the vehicle is moving. The effect of Doppler shift is a degradation in performance of Vehicle to Vehicle (V2V) communication. Adaptive modulation is a technique to improve the performance. It is done by adjusting the modulation scheme used according to noise conditions while keeping the Bit Error Rate (BER) value not exceeding 10-3. In this research, three Doppler shift values are used. The shift is derived from speed limit determined by The Government of Indonesia. Then machine learning algorithm is used to predict channel gain threshold that can optimize the use of Signal to Noise Ratio (SNR) with a BER limit of 10-3. From the prediction results, it is found that by implementing the predicted channel gain threshold, the SNR required by adaptive modulation has the lowest value compared to non-adaptive modulation schemes. The lower the required SNR value, the communication is more resistant to noise interference.
Pengembangan E-Modul Interaktif Berbasis Flipbook pada Pembahasan Biologi Marisha Ayuardini
Faktor Exacta Vol 15, No 4 (2022)
Publisher : LPPM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/faktorexacta.v15i4.14924

Abstract

Penelitian ini bertujuan untuk menghasilkan media pembelajaran berupa e-modul interaktif berbasis Flipbook untuk meningkatkan kemampuan pemahaman konsep biologi. Dalam hal ini peneliti mengembangkan media pembelajaran dalam bidang pendidikan yang berintegrasi dengan perkembangan teknologi informasi dan komunikasi. Inovasi media pembelajaran yang dikembangkan adalah membuat modul digital dua dimensi yang dapat membuka halaman layar seolah membaca di layar monitor berbasis Flipbook. Metode Penelitian yang digunakan dalam penelitian ini adalah metode penelitian pengembangan (Research and Develompment) dengan model pengembangan ADDIE (Analyze, Design, Develop, Implementasi dan Evaluate). Modul berbasis Flipbook ini dibuat dengan menggunakan Software Flip PDF Comporate Edition dimana menyajikan teks, gambar, audio, dan video. Hasil penelitian media berbasis Flipbook ini dikatakan layak untuk digunakan berdasarkan validasi dari ahli materi, ahli media, dan ahli bahasa, yaitu dengan rata-rata skor total sebesar 80% untuk penilaian validasi ahli materi, rata-rata skor total sebesar 60% untuk penilaian validasi ahli media, dan rata-rata skor total sebesar 60% untuk penilaian validasi ahli bahasa, yang masing-masing masuk pada kriteria “layak”. Selain itu, sudah dilakukan uji lapangan kepada tiga puluh peserta didik dan mendapatkan skor nilai rata-rata respon peserta didik sebesar 80% dengan katagori “baik”, serta telah dilakukan uji coba efektivitas media dalam meningkatkan kemampuan pemahaman konsep mendapatkan skor nilai rata-rata 0,46 dengan kategori sedang.
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.

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