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All Journal Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) JURNAL MEDIA INFORMATIKA BUDIDARMA Building of Informatics, Technology and Science JURSIMA (Jurnal Sistem Informasi dan Manajemen) JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Journal of Computer System and Informatics (JoSYC) Jurnal Sistem Komputer dan Informatika (JSON) Journal of Computer Networks, Architecture and High Performance Computing JPM: JURNAL PENGABDIAN MASYARAKAT International Journal of Engineering, Science and Information Technology Jurnal Pengabdian Masyarakat Gemilang (JPMG) Journal of Engineering, Technology and Computing (JETCom) Journal of Mathematics and Technology (MATECH) JURSIMA Jurnal Pengabdian Masyarakat Singa Podium (JPMSIPO) Jurnal Information System Jurnal Sistem Informasi dan Manajemen Jurnal Intelek Dan Cendikiawan Nusantara
Fifto Nugroho
Universitas Bung Karno
Aerospace Engineering Humanities Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Physics Public Health Social Sciences Transportation Other

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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

Abstract

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

Abstract

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

Abstract

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

Abstract

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.
Co-Authors Abdul Karim Abdurrahman Sadikin Ade Hidayatulloh Aditya Teguh Arsyendo Adyanata Lubis Afriany, Joli Agung Triayudi Agus Perdana Windarto Agus Sugiharto Ahyuna Ahyuna, Ahyuna Alexius Ulan Bani Amanudin Harahap Ananda Tri Oktavianthi Andreas Gerhard Simorangkir Asruddin Awul, Maria Fatima Babys, Rosa Angelina Dony Agam Dwi Haidar Farhan Efori Buulolo Eko Ihsanto Eko Maruli Tua Situmorang Emmanuel Esperito Epifanius Velazques Esperito Epifanius Velazques, Emmanuel Fauziyah Galuh Oka Priyatna Hany Maria Valentine Harmayani I Wayan Sugianta Nirawana Indah Kusuma Dewi Islam, Khoirul Jefon Krisna Parell Marunduri Karya Suhada Kelik Sussolaikah Kraugusteeliana Kraugusteeliana Kurnia, Mega Tri Lamsir, Seno Listi Prambodo , Yoga Lydia Palupi M Mesran Mesran, Mesran Muhammad Andi Nurwijayanti Kusumaningrum Prambodo, Yoga Listi Prasiwiningrum, Elyandri Putri Yusup, Anissa Al Fatika Putu Doddy Heka Ardana Qurrotul Aini Rabli Hari Mulia Raditya Galih Whendasmoro Rahmad Fadilla Rahmad Fadilla Rahman, Ben Rasna, Rasna Ricard Ricardo Rima Ruktiari Rima Tamara Aldisa Rony Wijanarko Rosiana Dewi, Ni Wayan Emmy Saludin Muis Saludin Saludin Samuel Ramos Saputro, Joko Sharyanto Sharyanto Silvi Damayanti Sitti Rachmawati Yahya Suginam Suryadi, Dikky Susi Agustini Sinaga Wijaya, Vera Yessica Siagian Yoga Listi Prambodo Zainudin Islami Tualeka