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Pelatihan Penggunaan Copywriting bagi Komunitas Kubependa Rawalumbu Bekasi Nugroho, Fifto; Asruddin
Jurnal Pengabdian Masyarakat Gemilang (JPMG) Vol. 2 No. 3: Juli 2022
Publisher : HIMPUNAN DOSEN GEMILANG INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58369/jpmg.v2i3.67

Rumah singgah disabilitas mandiri (KUBEPENDA) produce a variety of household processed products such as masks, processed snacks that have been packaged properly. Currently, this community has started online marketing through the marketplace. Therefore, promotion is needed so that this KUBEPENDA business can be widely known. By conducting training on the use of copywritng on products, online or offline stores. The method used is offline counseling in the form of providing customized materials and training on the use of the Canva application to design product packaging. After the presentation of the material, as well as conducting training and evaluation, it can be seen that this counseling is going well. From the results of the evaluation carried out by freeing participants to copy the products they produced themselves, it can be seen that the success of the training reached 66% of the total participants, the rest produced enough copies

Implementing Preference Selection Index for Optimal Employee Ranking in Organizational Decision-Making Wijanarko, Rony; Nugroho, Fifto; Islam, Khoirul
Journal of Computer Networks, Architecture and High Performance Computing Vol. 6 No. 3 (2024): Articles Research Volume 6 Issue 3, July 2024
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v6i3.4387

The rapid development of information technology has affected various aspects of life, including in the world of work. This research aims to apply the Preference Selection Index (PSI) method in determining the best employees at Bina Karya Utama Company. The assessment is based on four main criteria: Attendance, Tardiness, Overtime, and Length of Service. Data is obtained through observation and interviews, then processed using the PSI method which involves the normalization process and the calculation of preference values. The results showed that employees with alternative code A8 obtained the highest score, followed by A5 and A9. The PSI method proved to be effective in helping companies make objective and fair decisions, as well as motivating employees to improve their performance. This research concludes that a PSI-based decision support system can improve transparency and fairness in employee evaluation at Bina Karya Utama Company.

Optimizing Decision-Making for Aid Allocation in Underdeveloped Regions Using the MOORA Method Wijaya, Vera; Nugroho, Fifto; Kraugusteeliana, Kraugusteeliana
Journal of Computer Networks, Architecture and High Performance Computing Vol. 6 No. 3 (2024): Articles Research Volume 6 Issue 3, July 2024
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v6i3.4389

The allocation of assistance for the Family Hope Program is a process that requires precision to ensure that assistance is given to those most in need. This research develops a Decision Support System (DSS) using the Multi-Objective Optimization on the Basis of Ratio Analysis (MOORA) method for optimizing the selection of beneficiaries in disadvantaged villages which includes criteria used including education, toddlers, pregnant women, disabilities, elderly, income, employment, number of dependents, and house size. Each criterion is normalized and given a weight according to its level of importance. The results show that alternative A2 has the highest optimization value with Yi of 0.254, followed by A8 (0.208) and A5 (0.204). In contrast, alternatives A3 (0.029) and A10 (0.035) have the lowest optimization value. Matrix normalization and criteria weights show the significant influence of the criteria of education, pregnant women, elderly, income, number of dependents, and house size in the selection process. The implementation of DSS with the MOORA method is proven to increase efficiency and accuracy in the selection process of Family Hope Program beneficiaries, reduce subjective errors, and ensure assistance is channeled to those who really need it. Therefore, the MOORA method is recommended as an effective tool to optimize social assistance allocation, increase transparency, and reduce bias in decision-making.

PERANCANGAN ALAT PENGUKURAN SUHU DAN KADAR OKSIGEN DALAM TUBUH BERBASIS MIKROKONTROLER Nugroho, Fifto; Ulan Bani, Alexius; Esperito Epifanius Velazques, Emmanuel
JURSIMA Vol 10 No 2 (2022): Jursima Vol. 10 No. 2, Agustus Tahun 2022
Publisher : INSTITUT TEKNOLOGI DAN BISNIS INDOBARU NASIONAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47024/js.v10i2.429

The development of modern technology makes it possible to make a more advanced tool. The health sector as one of the important components of life also does not escape the support of technology. One of the implementations is the design and manufacture of a system for measuring temperature and oxygen levels in the body. Measurements are made using the fingers to detect oxygen levels and the hands to detect the temperature without injuring the body. This measuring instrument uses the MAX30100 sensor, MLX90614, Arduino Uno, 16x2 LCD with I2C and Buzzer. This tool is able to measure temperature and oxygen levels with a buzzer as a sound indicator if conditions are not appropriate / abnormal

Investigating the Impact of ReLU and Sigmoid Activation Functions on Animal Classification Using CNN Models M Mesran; Sitti Rachmawati Yahya; Fifto Nugroho; Agus Perdana Windarto
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 8 No 1 (2024): February 2024
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v8i1.5367

VGG16 is a convolutional neural network model used for image recognition. It is unique in that it only has 16 weighted layers, rather than relying on a large number of hyperparameters. It is considered one of the best vision model architectures. However, several things need to be improved to increase the accuracy of image recognition. In this context, this work proposes and investigates two ensemble CNNs using transfer learning and compares them with state-of-the-art CNN architectures. This study compares the performance of (rectified linear unit) ReLU and sigmoid activation functions on CNN models for animal classification. To choose which model to use, we tested two state-of-the-art CNN architectures: the default VGG16 with the proposed method VGG16. A dataset consisting of 2,000 images of five different animals was used. The results show that ReLU achieves a higher classification accuracy than sigmoid. The model with ReLU in fully connected and convolutional layers achieved the highest precision of 97.56% in the test dataset. The research aims to find better activation functions and identify factors that influence model performance. The dataset consists of animal images collected from Kaggle, including cats, cows, elephants, horses, and sheep. It is divided into training sets and test sets (ratio 80:20). The CNN model has two convolution layers and two fully connected layers. ReLU and sigmoid activation functions with different learning rates are used. Evaluation metrics include accuracy, precision, recall, F1 score, and test cost. ReLU outperforms sigmoid in accuracy, precision, recall, and F1 score. This study emphasizes the importance of choosing the right activation function for better classification accuracy. ReLU is identified as effective in solving the vanish-gradient problem. These findings can guide future research to improve CNN models in animal classification.

Implementing Preference Selection Index for Optimal Employee Ranking in Organizational Decision-Making Wijanarko, Rony; Nugroho, Fifto; Islam, Khoirul
Journal of Computer Networks, Architecture and High Performance Computing Vol. 6 No. 3 (2024): Articles Research Volume 6 Issue 3, July 2024
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v6i3.4387

The rapid development of information technology has affected various aspects of life, including in the world of work. This research aims to apply the Preference Selection Index (PSI) method in determining the best employees at Bina Karya Utama Company. The assessment is based on four main criteria: Attendance, Tardiness, Overtime, and Length of Service. Data is obtained through observation and interviews, then processed using the PSI method which involves the normalization process and the calculation of preference values. The results showed that employees with alternative code A8 obtained the highest score, followed by A5 and A9. The PSI method proved to be effective in helping companies make objective and fair decisions, as well as motivating employees to improve their performance. This research concludes that a PSI-based decision support system can improve transparency and fairness in employee evaluation at Bina Karya Utama Company.

Optimizing Decision-Making for Aid Allocation in Underdeveloped Regions Using the MOORA Method Wijaya, Vera; Nugroho, Fifto; Kraugusteeliana, Kraugusteeliana
Journal of Computer Networks, Architecture and High Performance Computing Vol. 6 No. 3 (2024): Articles Research Volume 6 Issue 3, July 2024
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v6i3.4389

The allocation of assistance for the Family Hope Program is a process that requires precision to ensure that assistance is given to those most in need. This research develops a Decision Support System (DSS) using the Multi-Objective Optimization on the Basis of Ratio Analysis (MOORA) method for optimizing the selection of beneficiaries in disadvantaged villages which includes criteria used including education, toddlers, pregnant women, disabilities, elderly, income, employment, number of dependents, and house size. Each criterion is normalized and given a weight according to its level of importance. The results show that alternative A2 has the highest optimization value with Yi of 0.254, followed by A8 (0.208) and A5 (0.204). In contrast, alternatives A3 (0.029) and A10 (0.035) have the lowest optimization value. Matrix normalization and criteria weights show the significant influence of the criteria of education, pregnant women, elderly, income, number of dependents, and house size in the selection process. The implementation of DSS with the MOORA method is proven to increase efficiency and accuracy in the selection process of Family Hope Program beneficiaries, reduce subjective errors, and ensure assistance is channeled to those who really need it. Therefore, the MOORA method is recommended as an effective tool to optimize social assistance allocation, increase transparency, and reduce bias in decision-making.

RANCANG BANGUN ALAT PENDETEKSI PELANGGARAN SISWA BERBASIS IOT (STUDI KASUS PADA SEKOLAH MENENGAH KEJURUAN YAK 1 KOTA BOGOR) Galuh Oka Priyatna; Alexius Ulan Bani; Fifto Nugroho
Jurnal Intelek Dan Cendikiawan Nusantara Vol. 2 No. 1 (2025): Februari - Maret 2025
Publisher : PT. Intelek Cendikiawan Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar

Penelitian ini fokus pada perancangan dan pembangunan alat pendeteksi pelanggaran siswa berbasis ESP32-CAM IoT di SMK YAK 1 Kota Bogor. Tujuannya adalah mengatasi masalah pelanggaran tata tertib, terutama merokok. Metode penelitian mencakup studi pustaka, observasi, wawancara, perancangan, pengujian, dan analisis. Alat yang dikembangkan berhasil mendeteksi pelanggaran dengan akurasi yang baik, menggunakan teknologi ESP32-CAM dan IoT untuk pelaporan real-time. Hasil menunjukkan potensi peningkatan pengawasan, disiplin, dan perilaku siswa. Pihak sekolah memberikan tanggapan positif, melihat alat ini sebagai solusi inovatif untuk lingkungan belajar yang lebih baik. Kesimpulannya, alat ini menawarkan pendekatan baru dalam meningkatkan ketertiban di sekolah dan bisa menjadi model untuk institusi pendidikan lainnya.

Sistem Pendukung Keputusan Pemilihan Aplikasi Chat Terbaik Dalam Mendukung Pembelajaran Daring di Masa Pandemi Covid Menggunakan Metode Multi Attribute Utility Theory Mesran Mesran; Amanudin Harahap; Fifto Nugroho
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 4 No. 3 (2023): Maret 2023
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v4i3.5991

The Chating application is a virtual communication service either through messages, voice calls, or video calls that can assist in conducting online lectures during a pandemic. There are many types of applications that can be used to communicate during online lectures. Such as the Telegram application, Whatsapp application, Discord, KaKaoTalk, Line or WeChat and other social media applications that can be used to communicate personally or in groups. However, these applications have their own advantages and disadvantages that can affect the comfort and optimization of learning. Therefore, to determine the best Chating application, each alternative must have its own criteria as a requirement for the optimization of the application. As in this study, the authors added some data as criteria, namely Group Support, Member Capacity, Security, Account Privacy and Services provided by the application. Which, each criterion has a predetermined weight and is carried out with a settlement process using the Multi Attribute Utility Theory (MAUT) method for the ranking process. From calculations using the Multi Attribute Utility Theory (MAUT) method, it will produce sequential alternatives from the highest to the lowest. The alternative value which is Qi or the highest ranking will be used as an alternative recommendation for chat applications that will be used as a tool to support online learning during the Covid pandemic.

Sistem Pendukung Keputusan Rekomendasi Objek Wisata Menerapkan Metode MABAC dan Pembobotan ROC Fifto Nugroho; Agung Triayudi; Mesran Mesran
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 5 No. 1 (2023): September 2023
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v5i1.6822

North Sumatra possesses abundant potential for tourist attractions, yet achieving the optimal selection of these attractions poses a challenge. Therefore, a decision support system is required to aid in the decision-making process for choosing the most suitable tourist attractions. In this study, the Multi Atributive Border Approximation Area Comparison (MABAC) method is employed to rank tourist attractions based on predefined criteria. MABAC combines geometric approaches with boundary approximation area comparison analysis to calculate priority scores for each tourist attraction. Additionally, the Rank Order Centroid (ROC) method is used to assign weights to the identified criteria. This research reveals various issues in the selection of tourist attractions in North Sumatra, such as complex criteria, variations in criteria weights, and insufficient tools to address these challenges. The primary objective of this study is to develop a decision support system capable of assisting stakeholders in selecting tourist attractions aligned with their preferences and objectives. The outcome of this research is the development of an efficient decision support system to aid in the selection of tourist attractions in North Sumatra. This system reduces subjectivity in decision-making, provides more accurate ranking based on established criteria, and assists stakeholders in understanding the process of selecting tourist attractions in a more transparent manner. The implications of this research include enhancing the quality of decision-making in the tourism industry and optimizing the utilization of tourist attraction potential in North Sumatra. As for the tourism recommendation with the highest rank, alternative 3 is obtained with a value of 0.6343, namely Paropo natural tourism.

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