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All Journal Jurnal Teknik ITS Scientific Journal of Informatics Jurnal Informatika Upgris Insect (Informatics and Security) : Jurnal Teknik Informatika E-Link: Jurnal Teknik Elektro dan Informatika REMIK : Riset dan E-Jurnal Manajemen Informatika Komputer Journal of Intelligent Decision Support System (IDSS) TIN: TERAPAN INFORMATIKA NUSANTARA Jurnal Abdi Masyarakat Indonesia Jurnal Mandiri IT Brilliance: Research of Artificial Intelligence Jurnal Minfo Polgan (JMP) Jurnal Teknologi Sistem Informasi Jurnal Teknoif Teknik Informatika Institut Teknologi Padang Jurnal Informatika Teknologi dan Sains (Jinteks) PROSISKO : Jurnal Pengembangan Riset dan observasi Rekayasa Sistem Komputer JSITP Journal of Artificial Intelligence and Digital Business Jurnal Publikasi Teknik Informatika (JUPTI) Jurnal Masyarakat Madani Indonesia Jurnal Ekonomi, Teknologi dan Bisnis Innovative: Journal Of Social Science Research SOROT: Jurnal Pengabdian Kepada Masyarakat Jurnal Akademik Pengabdian Masyarakat Kadaster: Journal of Land Information Technology Svarga Pena: Jurnal Pengabdian Kepada Masyarakat Jurnal Teknik Informatika dan Desain Komunikasi Visual
Bangkit Indarmawan Nugroho
STMIK YMI TEGAL
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Application of centroid and geometric mean methods for face recognition Nugroho, Bangkit Indarmawan; Khasanah, Apriliani Maulidya; Arif, Zaenul; Gunawan, Gunawan
Jurnal Mandiri IT Vol. 13 No. 1 (2024): July: Computer Science and Field
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mandiri.v13i1.300

Abstract

Face recognition is one of the most important areas in artificial intelligence and image processing, with wide applications from attendance system security to human-computer interaction. This study aims to overcome the difficulties in classifying student faces in an academic environment by applying and comparing centroid and geometric mean methods. Student face data was collected and processed through conversion to grayscale, pixel intensity normalization, and statistical analysis using both methods. The results showed that both methods had the same performance with 70% accuracy, 75% precision, 60% recall, and 66.67% F1-score. The application of this method can improve the efficiency and accuracy of attendance management and security in the campus environment, especially for institutions with limited resources.
Application of WASPAS method in determining the best flour for nastar making Nugroho, Bangkit Indarmawan; Dewi, Errika Mutiara; Kurniawan, Rifki Dwi; Gunawan, Gunawan
Jurnal Mandiri IT Vol. 13 No. 1 (2024): July: Computer Science and Field
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mandiri.v13i1.303

Abstract

This study explores the use of the Weighted Aggregated Sum Product Assessment (WASPAS) Method in selecting the best wheat flour for pineapple cake production. The aim of this study is to develop a more systematic and quantitative approach in assessing flour quality, provide useful guidance for pineapple cake producers and enrich the academic literature in the field of food science and food technology. This study used quantitative methodology data analysis and model validation with WASPAS, aimed at overcoming the challenge of selecting the best wheat flour for pineapple cake making. Results showed that the WASPAS method was effective in identifying the best flour, with Bungasari Hana Emas flour obtaining the highest WASPAS score of 0.952863, followed by the Falcon Hijau with a score of 0.931373. This score indicates the optimal balance between cost and quality. The study emphasizes the importance of objective decision-making tools in the food industry, suggesting that such an approach can significantly improve product quality and production efficiency.
Applying certainty factor method to identify diseases in rice plants Nugroho, Bangkit Indarmawan; Miftakhuddin, Ahmad; Syefudin, Syefudin; Gunawan, Gunawan
Jurnal Mandiri IT Vol. 13 No. 1 (2024): July: Computer Science and Field
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mandiri.v13i1.310

Abstract

Rice (Oryza Sativa L) is the most important food crop in the world after wheat and corn, as well as the main source of protein for most of the world's population, especially in Asia. The Save Swamps for Prosperous Farmers (Serasi) program in Central Java Territory cannot run well considering the tall capacity of existing rice agriculturists to bargain with bugs and maladies of the rice they plant, so it is essential to make a device within the frame of an master framework for diagnosing rice plant infections.  For this reason, it is very important to be aware of the factors that influence production levels. Disease is one of the most detrimental factors in rice production, where many losses are caused by disease. Each of these diseases generally shows symptoms of the disease suffered before it reaches a more severe and widespread stage, these symptoms can be recognized by carrying out a diagnosis first. This can be done using an expert system. In this research, an expert system was utilized which was made utilizing the certainty figure strategy, with a test of 25 ranchers within the West Tegal Area, Tegal City. From the comes about of the inquire about carried out, it was concluded that with this framework the level of exactness obtained using the posttest contains a esteem of 100%, in other words the framework encompasses a decently tall level of accuracy.
The Utilization of Database for Administration Purposes as a Strategy Facing the New Normal: Prototype Development of e-Office Mustofa, Fahmi Charish; Ahmad, Umar Ali; Nugroho, Bangkit Indarmawan
Kadaster: Journal of Land Information Technology Vol. 1 No. 2 (2023): Kadaster: Journal of Land Information Technology
Publisher : Sekolah Tinggi Pertanahan Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31292/kadaster.v1i2.16

Abstract

The rise of Industry 4.0 has revolutionized work dynamics, particularly evident in the widespread adoption of remote working practices. Employees are no longer confined to traditional office spaces; instead, they have the flexibility to work efficiently from various locations. This study delves into the creation of a remote presence application, named "The SIMPEG-Pres," within the framework of an "e-Office Application." Tailored for Ministry of Agraria and Spatial Planning/National Land Agency employees, this application incorporates remote check-in features, focusing on transparency, informativeness, and georeferenced capabilities. The e-Office application requires seamless extraction of attendance data from the services layer, manifesting as a mobile application. Employing the SIMPEG-Press application in the SIMPEG e-Office system, utilizing an Oracle database and Python backend, the research validates the "published or perished" paradigm and ensures database security. The methodology involves implementing a dummy database and categorizing employee attendance and location zones based on specific parameters, guaranteeing efficient system and user management practices. The study culminates in a comprehensive matrix outlining Land Information System (LIS) development within the BPN environment, analyzed through system development theory. Additionally, the research outlines potential opportunities and challenges in the future trajectory of LIS development, providing valuable insights for both practitioners and scholars. Keywords: Application Programming Interfaces, Location Based Services, Land Information System, Remote Presence Application, Python.
Optimization Selection on Deep Learning Algorithm for Stock Price Prediction in Indonesia Companies Gunawan, Gunawan; Andriani, Wresti; Anandianskha, Sawaviyya; Murtopo, Aang Alim; Nugroho, Bangkit Indarmawan; Naja, Naella Nabila Putri Wahyuning
Scientific Journal of Informatics Vol 11, No 1 (2024): February 2024
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v11i1.47935

Abstract

Purpose: Share price movements after the COVID-19 pandemic experienced a decline in several sectors, especially in the share prices of the Aneka Tambang Company, which operates in the mining sector, the Wijaya Karya Company in the construction sector, and the Sinar Mas Company, which is a Holding Company. Several factors influence this, including investors' hesitation in investing their money. This research aims to predict stock price movements using a Deep Learning algorithm, which is optimized using Selection optimization at three large companies in Indonesia, namely PT. ANTAM, PT. WIKA, and PT. SINAR MAS. So that it can provide the correct information to investors to avoid losses.Method: research through collecting data from the three companies, preprocessing, and then analyzing research data with several alternatives. The combination of inputs from the three companies using the deep learning method is then optimized using selection optimization to produce the best accuracy and use the results of the RMSE evaluation.Results: The results of this research show that by using the Deep Learning method, the best evaluation results were obtained for the Company PT Wijaya Karya with an RMSE value of 0.432, an MAE value of 0.31505 and an MSE value of 1913.953. These results were then optimized using Selection optimization to obtain an RMSE increase of 0.022, namely 0.410.Novelty: The contribution of this research is to get the best combination of input variables obtained using the windowing process from the three companies, which are then processed using the Deep Learning method to produce the most accurate evaluation results from the three companies, then the results are optimized again using Selection optimization to get the more optimal results.
Implementasi Server Dengan Sistem Operasi Linux Debian Sebagai Pendukung Penerimaan Peserta Didik Baru Dengan Virtualbox Di SMK Bina Islam Mandiri Kersana Kabupaten Brebes Nugroho, Bangkit Indarmawan; Surorejo, Sarif; Santoso, Bayu Aji; Murtopo, Aang Alim; Syefudin, Syefudin; Arif, Zaenul; Kurniawan, Rifki Dwi; Karsidin, Karsidin; Adhi Santoso, Nugroho
Jurnal Teknik Informatika dan Desain Komunikasi Visual Vol 4 No 1 (2025): Jurnal Teknik Informatika dan Desain Komunikasi Visual
Publisher : Fakultas Komputer Dan Desain

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51792/yn6j9k73

Abstract

Every job that is done using computer network technology, the data that we input has actually entered the server computer. Thus the data that we have entered will be automatically saved to the server computer. The real conditions in the field are that there are several things that may cause the PPDB process at SMK Bina Islam Mandiri Kersana, Brebes Regency to be less effective. The main causes are Human Resources, Hardware, PPDB Process and Software. The design of the computer network that will be used as the object of this study, one of the topologies used is the star topology. The materials for designing the implementation of this server are the server computer, client computer, switch and PPDB application. To be able to connect to a network, here it is necessary to have a server IP address which will later be used to connect to other computers in this case the client computer. Previously, install Linux Debian using the VirtualBox application for the server, then configure the network until finished, connect the server computer to the client computer using the media, namely the UTP cable, after that on the client computer set the IP and open the browser to see the results. So it can be concluded that the server system for accepting new students can be done easily, as long as there is a will and perseverance in making it.
Co-Authors -, Muh Musthafa Yoshananda Aang Alim Murtopo Adhi Santoso, Nugroho Ananda, Pingky Septiana Anandianskha, Sawaviyya Andriani, Wresti Andriani, Wresty Arif, Zaenul Asyfiya, Dzurrotu Umi Aziz, Taufiq Azmi, Muchamad Nauval Bayu Aji Santoso Budiono, Wahyu Defi Lugianti Dewi, Errika Mutiara Erni Unggul Sedya Utami, Erni Unggul Sedya Fajrul Falah Farkhan, Muhammad Fatkhurrohman Fatkhurrohman, Fatkhurrohman Firmansyah, Akhmad Lutfi Gunawan Gunawan Gunawan , Gunawan Gunawan Gunawan Gunawan Gunawan Handayani, Sri Hidayatullah, Bryan Adam Isnaeni Hamidah Karsidin, Karsidin Khasanah, Apriliani Maulidya Khusni, Muhammad Wazid Kurniawan, Rifki Dwi Maulana, M Taufik Fajar Miftakhuddin, Ahmad Muhammad Syahrul Maulana Muhammad Syahrul Maulana Mustofa, Fahmi Charish Naja, Naella Nabila Putri Wahyuning Nindy Putri Lestari Nugroho Adhi Santoso Nugroho Adhi Santoso Nursahid, Wahyu Nurul fadillah, Nurul Rafhina, Ana Rifki Dwi Kurniawan Rifki Dwi Kurniawan Romadhona, Wahyu Rozak, Fatkhur Santoso, Bayu Aji Santoso, Nugroho Adh Santoso, Nugroho Adhi Sarif Surorejo Sedya Utami, Erni Unggul Sedya Sekar Setyaningtyas Septiadi, Mohamad Rifki Septiana, Pingky Srifani, Dewi Supratman, Ardhi Syefudin Syefudin Syefudin Syefudin, Syefudin Triwinanto, Mohammad Amin Umar Ali Ahmad Wahyu Romadhona Wresti Andriani Yoshananda, Muh Musthafa Zaenal Arif Zaenal Ma'arif Zaenul Arif Zaenul Arif Zaenul, Arif