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All Journal Jurnal Simetris Scientific Journal of Informatics Creative Information Technology Journal Jurnal Technopreneur (JTech) CSRID (Computer Science Research and Its Development Journal) Buana Information Technology and Computer Sciences (BIT and CS) JATI (Jurnal Mahasiswa Teknik Informatika) REMIK : Riset dan E-Jurnal Manajemen Informatika Komputer Journal of Intelligent Decision Support System (IDSS) Jurnal Abdi Masyarakat Indonesia Jurnal Mandiri IT Brilliance: Research of Artificial Intelligence Jurnal Minfo Polgan (JMP) Indonesian Journal of Informatics and Research PROSISKO : Jurnal Pengembangan Riset dan observasi Rekayasa Sistem Komputer jurnal penelitian multidisiplin Jurnal Manajemen Informatika dan Bisnis Digital Jurnal Indonesia Sosial Teknologi Journal of Artificial Intelligence and Digital Business Jurnal Publikasi Teknik Informatika (JUPTI) Jurnal Masyarakat Madani Indonesia Innovative: Journal Of Social Science Research JURSIMA SOROT: Jurnal Pengabdian Kepada Masyarakat SmartComp Jurnal Sistem Informasi dan Manajemen Jurnal Akademik Pengabdian Masyarakat Svarga Pena: Jurnal Pengabdian Kepada Masyarakat Jurnal Teknik Informatika dan Desain Komunikasi Visual
Aang Alim Murtopo
STMIK YMI TEGAL
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Application of the nearest neigbour interpolation method and naives bayes classifier for the identification of bespectacled faces Murtopo, Aang Alim; Januarto, Sigit; Anandianskha, Sawaviyya; Gunawan, Gunawan
Journal of Intelligent Decision Support System (IDSS) Vol 7 No 2 (2024): June: Intelligent Decision Support System (IDSS)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/idss.v7i2.242

Abstract

Facial recognition technology has rapidly advanced, but identifying individuals wearing glasses remains challenging due to altered or obscured facial features. This study addresses this issue by combining the Nearest Neighbor Interpolation Method and Naive Bayes Classification for bespectacled face identification. The method applies interpolation to enhance facial image quality, preserving critical features before classification by Naive Bayes into spectacle and non-spectacle classes. Using the Kaggle MeGlass dataset for training and testing, the approach achieved a training accuracy of 78%, a testing accuracy of 76%, and a cross-validation value of 0.70. These results indicate a significant improvement in recognizing bespectacled faces, contributing to enhanced accuracy in facial recognition systems. Despite these advancements, further improvements are possible, such as integrating more advanced models and expanding the dataset, which could lead to even greater accuracy and reliability in practical applications. This research provides a novel solution to a persistent challenge in facial recognition technology
Optimasi Search Engine Optimization (SEO) On Page Untuk Meningkatkan Peringkat Website Hondasukabumi.com Di Google Alim Murtopo, Aang; Nursidik, Maulia; Syefudin, Syefudin; Gunawan, Gunawan
Innovative: Journal Of Social Science Research Vol. 4 No. 3 (2024): Innovative: Journal Of Social Science Research
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/innovative.v4i3.10715

Abstract

Artikel penelitian ini berjudul "Optimasi Search Engine Optimization (SEO) On Page Untuk Meningkatkan Peringkat Website Hondasukabumi.com Di Google", bertujuan untuk mengidentifikasi dan menerapkan strategi optimasi SEO On Page yang efektif dalam meningkatkan peringkat website bisnis lokal di mesin pencari Google. Menggunakan metode studi literatur dan observasi, penelitian ini fokus pada analisis kata kunci tertentu dari tahun 2020 hingga 2024 dan optimasi elemen-elemen SEO On Page seperti title tag, meta deskripsi, dan struktur heading. Hasil penelitian menunjukkan bahwa penerapan strategi SEO On Page yang ditargetkan berdasarkan analisis kata kunci dan optimasi konten relevan berhasil meningkatkan visibilitas dan peringkat website Hondasukabumi.com di hasil pencarian Google. Implikasi dari penelitian ini menekankan pentingnya SEO On Page dalam strategi pemasaran digital untuk bisnis lokal, memberikan wawasan penting bagi pemilik bisnis dan praktisi SEO dalam meningkatkan performa website di era digital.
Application of the haversine formula method to determine the closest distance to a minimarket Muttaqin, Anik; Murtopo, Aang Alim; 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.v13i1.293

Abstract

In a digital era that demands speed and efficiency, determining the closest distance to minimarkets is crucial for consumers and the logistics industry. This study proposes the use of the haversine method to improve the accuracy of distance calculations. Through quantitative and quasiexperimental approaches, this study describes the steps of data collection, pre-processing, and application of haversine formulas. The results demonstrate the reliability of the haversine method in estimating distances accurately, allowing users to make more informed decisions in planning trips or logistics strategies. These findings contribute to the academic literature and field practice by providing a more robust and applicable methodology for determining the closest distance. Keywords: haversine, closest distance, minimarket.
Application of fuzzy tsukamoto method in forecasting weather Murtopo, Aang Alim; Aslam, Muhammad Nur; Andriani, Wresti; 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.v13i1.305

Abstract

In today's information age, accurate weather prediction is essential given its far-reaching impact on various aspects of life and economic activity. This study aimed to test the effectiveness of Fuzzy Tsukamoto's method in predicting important weather variables such as temperature, humidity, and precipitation. This research method uses a combination design that includes experimental methods for model development, quantitative analysis of historical weather data, and model validation using separate data. The results showed that the Fuzzy Tsukamoto method was able to increase the accuracy of weather predictions compared to conventional methods, with a significant decrease in the value of Mean Absolute Error (MAE) and Root Mean Square Error (RMSE). In conclusion, this study successfully demonstrates that Fuzzy Tsukamoto's method can be a more accurate alternative in weather prediction, making a significant contribution to the field of meteorology and its practical application in decision-making in various sectors that depend on weather prediction.
Application of genetic algorithm and backpropagation neural networks to predict Tegal City population Murtopo, Aang Alim; Nursahid, Wahyu; Fadilah, Nurul; 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.v13i1.308

Abstract

Use of Genetic Algorithms and Backpropagation Neural Networks for Population Prediction in Tegal City, which aims to create precise prediction models using advanced computational techniques. This research uses a quantitative approach that combines experimental methods, data analysis, and model validation to implement and test predictive models. By using genetic algorithms for parameter optimization and neural network backpropagation for training, the findings show that the model can accurately predict population numbers with minimal error and high determination coefficients. The implications of this study are significant for urban planning and public policy development due to the accuracy and effectiveness of the model in forecasting population growth based on historical data.
Development of mobile applications for IoT-based room temperature monitoring and control Murtopo, Aang Alim; Amalani, Mukhamad Zulfa Bakhtiar; 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.v13i1.309

Abstract

The Internet of Things (IoT) has become one of the most significant technologies, offering a wide range of innovative solutions to improve efficiency and convenience in various aspects of life. One important application of IoT is in environmental management and control, especially room temperature. This research aims to develop a mobile application capable of monitoring and controlling room temperature with an easy-to-understand user interface and the ability to forecast future temperature needs. Research methods used include experimental approaches, data analysis, and model validation to ensure applications function optimally in real-world conditions. The results showed that the application developed was effective in monitoring room temperature conditions in real-time and was able to adjust the temperature quickly and accurately. The implication of this research is the improvement of user convenience and energy efficiency through the use of IoT technology in everyday life.
Implementation of blockchain technology in digital financial management systems Murtopo, Aang Alim; Anshori, Abu Hasan Al; Santoso, Nugroho Adi; 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.v13i1.314

Abstract

This research aims to develop and test a digital financial management system model that is integrated with blockchain technology to address security, transparency, and efficiency issues in the traditional digital financial system. Blockchain technology is used to ensure the integrity and security of data by recording each transaction in the form of interlinked and immutable blocks. The methods used include experimental approaches, quantitative analysis, and model validation. The results of the study show that blockchain integration improves the transparency, security, and operational efficiency of digital financial management systems. Although the designed asset recording application still has weaknesses in UX and UI, such as the lack of drop-down features and manual data entry, blockchain technology has successfully strengthened data security with the use of unique record IDs (hashes) that cannot be changed and public transparency through Etherscan. This research makes a practical contribution to the application of blockchain technology in the financial industry and suggests further development to improve the user experience and add features that improve the efficiency and flexibility of the asset recording system. These findings support the potential of blockchain in advancing the integrity and performance of the digital financial system.
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.
Pemanfaatan Teknologi Firebase Dan Location Based Service Berbasis Android Sebagai Media Pemesan Makan Dan Minuman Pada Rumah Makan Murtopo, Aang Alim
Smart Comp :Jurnalnya Orang Pintar Komputer Vol 10, No 1 (2021): Smart Comp : Jurnalnya Orang Pintar Komputer
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/smartcomp.v10i1.2242

Abstract

Teknologi smartphone sudah semakin berkembang dengan disediakannya berbagai platform. Salah satu platform yang sangat pesat adalah Android. Perkembangan tersebut mengakibatkan tingkat mobilitas menjadi sangat tinggi. Perkembatersebut menjadi satu hal yang harus di ikuti disemua bidang usaha. Hal yang sering dialami dalam kasus dipenelitian ini adalah keterlabatan dalam proses pesanan makan dan minuman yang berdampak kurangnya kepercayaan pelanggan. Melihat hal ini tujuan penelitian ini untuk menghasilkan aplikasi pemesanan makanan berbasis android agar memudahkan pelanggan melakukan proses pemesanan secara mandiri. Aplikasi yang dihasilkan memanfaatkan teknologi Firebase dan Location Based Service berbasis platform android dengan metode perancangan perangkat lunak System Development Life Cycle (SDLC). Aplikasi yang dirancangan dengan mempertimbangkan baik dari sisi pengguna maupun pengusaha rumah makan aplikasi yang dihasilkan berbasis android sehingga dalam proses pemesanan makan dan minuman bisa berjalan secara efektif dan maksimal.
Co-Authors ., Yustira Adhi Santoso, Nugroho Aditdya, Maulana Afridar, Halim Amalani, Mukhamad Zulfa Bakhtiar Anandianskha, Sawaviyya Andriani, Wresti Angesti, Devi Cici Angesti, Devi Cici Anshori, Abu Hasan Al Arif, Zaenul Aslam, Muhammad Nur Azmi, Isni Bangkit Indarmawan Nugroho Bayu Aji Santoso Cahyo, Septian Dwi Diana Pramestiningsih Erni Unggul Sedya Utami, Erni Unggul Sedya Fadli, Muhamad Rizaldi Satrio Farkhan, Ali Fatah, Muhammad Raikhan Al Firmansyah, Muchamad Aries Gunawan Gunawan Gunawan Gunawan Gunawan Haryadi, Didi Isnaeni Hamidah Isni Azmi Januarto, Sigit Juniyanto, Rudi Karsidin, Karsidin Khafidz Basri Kurniawan, Rifki Dwi M. Herly Rumambi Marstyo Ardiansyah Maulana Aditdya Miftakhudin, Muhammad Moonap, Dinar Auranisa Muttaqin, Anik Naja, Naella Nabila Putri Wahyuning Nugroho Adhi Santoso Nugroho Adhi Santoso Nursahid, Wahyu Nursidik, Maulia Nurul Fadhilah Nurul Fadilah Nurul Fadilah Nurul Fadilah, Nurul Pingky Septiana Ananda Priyatna, Bayu Qurrotu Aini, Atikah Retno Ayuning Putri Rifki Dwi Kurniawan Rini Mayasari Rito Cipta sigitta Hariyono Riyadi, Fajar Sugeng Rudi Juniyanto Sagita, Rito Cipta Santoso, Bayu Aji Santoso, Nugroho Adh Santoso, Nugroho Adhi Santoso, Nugroho Adi Sarif Surorejo Septiana Ananda, Pingky Sifa Melina Salsabila Syefudin Syefudin Syefudin Syefudin, Syefudin Triwinanto, Mohammad Amin Triwinanto Wahyu Romadhona Wresti Andriani Yustira . Zaenal Arif Zaenul Arif