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Faktor Exacta
ISSN : 1979276X     EISSN : 2502339X     DOI : -
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
Perancangan Sistem Penerimaan Siswa Baru Berbasis Web Pada Sekolah Dasar Islam Plus Baitul Maal Herfandi Herfandi; Saruni Dwiasnati; Kiki Ahmad Baihaqi; reza Avrizal
Faktor Exacta Vol 15, No 2 (2022)
Publisher : LPPM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/faktorexacta.v15i2.12894

Abstract

Islamic-based education in Indonesia is an educational institution that focuses on forming the character and knowledge of Islamic religious values. Islamic Elementary School Education Institute Plus Baitul Maal in carrying out educational administration procedures still uses the conventional system. The procedure that took place has not been efficient because prospective students are required to complete the registration form sheet by manual means and still stored in the folder. The implementation of information system technology in the education sector is able to provide convenience, especially in terms of efficientness, accuracy and novelty of information. Therefore, the design and creation of a website-based new student admission information system is expected to be able to solve the problem. This research resulted in a website-based new student admission information system with the main Page having Home, About Us, How to Apply, and Contact functionality. The student dashboard page has Home, Student Profile, Document functionality. The admin dashboard page has the functionality of Home, Website Content, Management, Document Completeness, and Settings as an admin user management serves to set up admin accounts (Create, Record, Update and Delete (CRUD) for admin accounts), development methods using waterfalls, research methods using qualitative and information system testing using black box testing that gets conclusions according to various functionality tests. This system is expected to ease the work of new student admission administrators as well as adjustments to education in the Industrial 4.0 era.
Auditing the Academic Information System of the Indonesian Christian University Toraja Using the Cobit 5 Framework Ferayanti Boas Gallaran; Chrismesi Pagiu; Srivan Palelleng
Faktor Exacta Vol 15, No 3 (2022)
Publisher : LPPM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/faktorexacta.v15i3.11312

Abstract

Rapid technological developments make all sectors vying to use the latest technology. No exception in the field of education, technology is a basic need to support the teaching and learning process. One example of the technology used by UKI Toraja is the UKI Toraja Ecampuz Academic Information System. This system has been in use since the end of 2018 until now. Since the use of the Ecampuz UKI Toraja Academic Information System, it has provided many benefits, especially for its users, namely lecturers, students and employees. However, a system is a man-made product, so nothing is perfect, neither is the academic system used by UKI Toraja. Based on this hypothesis, this study aims to audit the Ecampuz UKI Toraja Academic Information System using the COBIT 5 framework by focusing on the domains of Evaluating Governance, direction, monitoring (EDM), Align, Plan and Organize (APO), Build, Acquire, and Implement (BAI), Deliver, Service and Support (DSS), Monitor, Evaluate, Assess (MEA) so that the Academic Information System can support the progress of the University effectively and efficiently.The final result of this research is that the highest matrix value is 0.932 in APO7 and APO11, while the lowest matrix value is 0.546 at EDM4 and APO4. This means that in managing resources and quality at SIA UKI Toraja has been good but still lacking in optimizing resources and innovation at SIA UKI Toraja (Ecampuz)
Penerapan Lean Project Management Pada Proyek Pembangunan Water Treatment System Di PT Karya Nurindo Surya Perdana; Arif Rahman; Tulus Widjajanto
Faktor Exacta Vol 15, No 3 (2022)
Publisher : LPPM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/faktorexacta.v15i3.11817

Abstract

PT Karya Nurindo merupakan perusahaan yang bergerak dibidang jasa konstruksi pembangunan instalasi pengolahan air. Saat ini PT Karya Nurindo sedang menjalankan proyek pembangunan Water Treatment System di Perum PERURI. Pengerjaan yang sedang dilakukan perusahaan tersebut adalah tanki penyimpanan limbah cair B3. Dalam pengerjaan proyek tersebut terdapat beberapa kendala yang menyebabkan keterlambatan dari jadwal yang sudah direncanakan. Untuk mengurangi kerugian yang timbul maka perlu dilakukan perbaikan, menghilangkan waste dan melakukan percepatan pengerjaan proyek dengan sisa waktu yang masih tersedia. Tujuan penelitian ini adalah untuk mengidentifikasi dan menghilangkan waste yang ada pada proyek pembangunan Water Treatment System, sehingga dalam pelaksanaan proyek dapat terlaksana dengan lebih efektif dan efisien. Untuk mengatasi hal tersebut dilakukan analisis munggunakan metode Lean Project Management (LPM). Dari hasil dan analisis data yang telah dilakukan, diperoleh kesimpulan bahwa waste yang terdapat pada pelaksanaan proyek pembangunan Water Treatment System (tanki penyimpanan limbah cair B3) yang dikerjakan oleh PT Karya Nurindo di Perum PERURI adalah Waste Waiting. Penyebab munculnya Waste Waiting dikarenakan faktor lingkungan dan faktor material. Untuk mengatasi risiko yang terdapat penelitian ini adalah dengan melakukan percepatan, pada pekerjaan ini dilakukan penambahan pekerja dan melakukan pengiriman material dengan jumlah banyak dalam waktu yang bersamaan.
Perancangan Aplikasi Perbaikan Citra Digital Pada Hasil Screenshot Dengan Menggunakan Metode Multiscale Retinex dan Median Filter Noga Adi Putra; Resti Amalia
Faktor Exacta Vol 15, No 3 (2022)
Publisher : LPPM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/faktorexacta.v15i3.13706

Abstract

Advances in technology today cannot be kept away from people's lives, because basically technology is built to provide convenience to the community. One example is in the field of digital images, digital images are a representation of the light intensity function in a discrete field in a two-dimensional plane, digital images can also be a source of information other than text, sound and video. However, sometimes the image can also experience a decrease in quality caused by noise, too contrasting colors, blurring, and so on. A distorted image is usually caused by poor image capture, poor lighting, low pixel resolution on the camera, and poor image capture capabilities. This is what underlies the improvement in digital images, digital image quality improvements can be done by various methods, one of which is the Multiscale Retinex and Median Filter methods. The advantages of the Multiscale Retinex method are that it can increase the brightness and color of digital images, especially those that tend to be dark, and the Median Filter method can reduce the disturbance that often occurs in digital images, namely noise. With the two methods used to improve the image, a digital image will look better with a degree and level of color that tends to be evenly distributed. The process begins by entering the test image with *.jpg file format into the program then processed by the Multiscale Retinex and Median Filter methods, then the initial image can be compared with the resulting image using a histogram. From the research that the author did, it resulted in a digital image processing application that can improve brightness and reduce noise in digital images.
Pengembangan Model RNN untuk Prediksi Produksi Daging Sapi dalam Perencanaan Pembangunan Nasional Yulianingsih Yulianingsih; Tri Yani Akhirina; Za’imatun Niswati
Faktor Exacta Vol 15, No 3 (2022)
Publisher : LPPM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/faktorexacta.v15i3.12820

Abstract

Data is an important component because it will support in policies / decisions making, serve as control tools to prevent error from occuring and support transparent, accountable and participative governance. This study examines the prediction of beef production and product consumption with the Long Short Term Memory (RNN LSTM) Recurrent Neural Network approach. Using statistical data on beef production and consumption of products per capita per week from BPS. The data used were 12 records for each data source. LSTM contains information outside the normal flow of recurrent network in the gate cell. Cell makes decisions about what should be stored and when to permit reading, writing and deletion, through open and closed gates. The gate conveys information based on the strength that enters into it and will be filtered to be the weight of the gate itself. These weights are the same as the input and hidden unit weights that are adjusted through learning process on the recurrent network. The results of research carried out by building prediction models of beef production and product consumption get the best results using data for 3 years with RMSE 32121.297 for beef production and 0.001 for product consumption.
ANALISIS DAN PEMODELAN PELIMPAHAN PERKARA PIDANA MENGGUNAKAN BUSINESS PROCESS IMPROVEMENT (Studi Kasus: PENGADILAN NEGERI XYZ) Dudi Awalludin
Faktor Exacta Vol 15, No 3 (2022)
Publisher : LPPM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/faktorexacta.v15i3.12977

Abstract

In line with the progress of the times with the progress of developing science and technology, computers are not only used as business data development tools but also use means of processing data data quickly, accurately, and systematically. At present the business process system in Criminal Case Delegation at the XYZ District Court is still ineffective in the case registration approval process. In the trial of receiving a case transfer from the Public Prosecutor there were still some shortcomings, often double checking, there was no sign of court thanksgiving when it was transferred to the Young Criminal Registrar so that it could not be controlled again. Based on the problems obtained, the study analyzed existing transitions using qualitative using Business Process Improvement (BPI) and modeled using Business Process Modeling Notation (BPMN). to see in terms of internal and external factors. After analysis, make a checklist and receipt when delegating it to the Young Registrar of Criminal agar in the process of transferring a controlled file. Therefore, with the approval of the checklist, it can save time in performance.
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.