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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.
Penerapan Metode Naïve Bayes Classifier dan Selectin Sort untuk Menentukan Peringkat Cafe Di Kota Tegal Arifiyah, Nur Latifatul; Gunawan, Gunawan; Anandianska, Sawaviyya
Innovative: Journal Of Social Science Research Vol. 4 No. 3 (2024): Innovative: Journal Of Social Science Research (Special Issue)
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/innovative.v4i3.11408

Abstract

Penelitian ini mengembangkan sistem penilaian dan peringkat untuk cafe di Kota Tegal dengan mengintegrasikan metode Naïve Bayes Classifier dan Selection Sort, bertujuan untuk menyediakan panduan objektif bagi pelanggan dalam memilih cafe berdasarkan ulasan. Tujuan utama dari penelitian ini adalah untuk meningkatkan akurasi dalam penentuan peringkat cafe, sekaligus memberikan wawasan bagi pemilik cafe untuk meningkatkan kualitas layanan dan produk mereka. Metode yang digunakan meliputi pengumpulan data ulasan pelanggan, analisis sentimen menggunakan Naïve Bayes Classifier, dan perankingan menggunakan Selection Sort. Hasil penelitian menunjukkan efektivitas kombinasi kedua metode ini dalam menghasilkan peringkat cafe yang konsisten dengan penilaian pelanggan sebenarnya. Implikasinya, sistem ini menawarkan metode yang dapat diandalkan untuk evaluasi dan perbandingan cafe, serta mendukung pemilik cafe dalam strategi peningkatan kualitas berdasarkan umpan balik pelanggan. Penelitian ini memberikan kontribusi pada penerapan metode klasifikasi dan pengurutan dalam konteks baru, membuka peluang untuk penelitian selanjutnya dalam pengembangan sistem rekomendasi di sektor lain.
Penerapan Metode Fuzzy K-Means Clustering untuk Pengelompokan Konten Halaman Web secara Otomatis Budiono, Wahyu; Nugroho, Bangkit Indarmawan; Santoso, Nugroho Adhi; Gunawan, Gunawan
Innovative: Journal Of Social Science Research Vol. 4 No. 3 (2024): Innovative: Journal Of Social Science Research (Special Issue)
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/innovative.v4i3.12022

Abstract

Penerapan Metode Fuzzy K-Means Clustering untuk Pengelompokan Konten Halaman Web Secara Otomatis adalah penelitian yang bertujuan untuk mengotomatisasi proses pengelompokan konten halaman web menggunakan pendekatan clustering fuzzy. Dalam konteks ini, algoritma Fuzzy K-Means digunakan untuk mengelompokkan konten halaman web menjadi beberapa kategori berdasarkan kesamaan karakteristik tertentu. Metode ini memanfaatkan kelebihan pendekatan clustering fuzzy dalam menangani ketidakpastian dalam data dan kemampuan K-Means dalam mengelompokkan data menjadi beberapa cluster. Penelitian ini mencakup tahapan pra-pemrosesan data, ekstraksi fitur, dan implementasi algoritma Fuzzy K-Means Clustering. Eksperimen dilakukan menggunakan dataset yang berisi konten halaman web dari berbagai domain. Hasil evaluasi menunjukkan bahwa metode ini dapat menghasilkan pengelompokan konten halaman web yang sesuai dengan karakteristiknya secara otomatis, dengan tingkat akurasi dan interpretabilitas yang baik. Implementasi metode ini dapat memberikan kontribusi signifikan dalam pengelolaan dan penyaringan konten web secara efisien.
ANALISIS PENERAPAN SMART LIVING DALAM PEMBANGUNAN SMART CITY DI KOTA TEGAL Arrohman, Zidni Dlia; Andriani, Wresti; Gunawan, Gunawan
Jurnal Cahaya Mandalika ISSN 2721-4796 (online) Vol. 4 No. 2 (2023)
Publisher : Institut Penelitian Dan Pengambangan Mandalika Indonesia (IP2MI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36312/jcm.v4i2.1448

Abstract

Smart City is a city that can monitor and combine the situation of all infrastructure, both physical, social and business fields. The purpose of making a Smart City design is to make the city more efficient, prolonged, balanced and appropriate to live in. This design can also be applied to programming the rules of space, area or city, not only to the handling of cases in large cities. Each programming that uses the Smart City design intends to make the city sustainable. Regarding this is synergy with the programming of the landscape of prolonged natural tourism in Tegal City. The programming of the landscape to be raised is the realization of integrity and production power as well as the base of natural energy and multifunctional creation. To create programming purposes, Smart City designs that advance the use of IT can be applied to landscape programming zones and activities to be raised. IT systems used include intelligent inspection equipment installed in landscapes, features or equipment that can associate one network with another, computerization, social tools and GIS. The markers of success are measured by smart city design applications, including better management and organization, more advanced technology, the creation of good government, stakeholders understand and can use the technology applied, the economy increases, infrastructure development is better and the presence of areas is prolonged.
Application of association rule for prediction of menu ordered at café minapadi Zain Hidayatullah, Fikri; Surorejo, Sarif; Andriani, Wresty; Gunawan, Gunawan
Jurnal Mandiri IT Vol. 12 No. 4 (2024): April: Computer Science and Field.
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mandiri.v12i4.279

Abstract

This research aims to develop a predictive model that helps prepare menus based on customer preferences at Café Minapadi, hoping to improve operational efficiency and customer satisfaction. Using rule-association data mining techniques, the study uncovered hidden patterns in extensive transaction data, applying a priori algorithms in datasets to explore menu ordering frequencies and trends. Data analysis includes cleansing, transforming, and selecting features to generate relevant insights. The results found that items such as coffee and chocolate cake were often purchased together, providing an opportunity for menu optimization and special promotions. Evaluation of predictive models shows the possibility of increased accuracy in stock preparation and adjustment of menu offerings, providing significant benefits in business decision-making in the culinary sector.
Application of expert system using certainty factor method to identify diseases in rice plants Azmi, Isni; Gunawan, Gunawan; Anandianskha, Sawaviyya
Jurnal Mandiri IT Vol. 12 No. 4 (2024): April: Computer Science and Field.
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mandiri.v12i4.280

Abstract

This article explores the application of expert systems using certainty factor methods for disease identification in rice crops, highlighting the importance of information technology integration in agriculture. The study aims to develop a system that allows quick and accurate identification of rice disease, using certainty factor methods that are effective in dealing with data uncertainty. This study used a quantitative approach with a quasi-experimental design. The results indicate an effective system for identifying diseases, with significant implications for supporting farmers and improving food security. Suggestions for future research include system integration with mobile applications and real-time data analysis to improve system accessibility and applicability in modern agricultural practices.
Application of apriori algorithm to find relationships between courses based on student grades STMIK YMI Tegal Hassan, Muhamad Nur; Gunawan, Gunawan; Arif, Zaenul
Jurnal Mandiri IT Vol. 12 No. 4 (2024): April: Computer Science and Field.
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mandiri.v12i4.281

Abstract

This research explores the application of the Apriori algorithm to investigate the relationship between courses based on student grades at STMIK YMI Tegal. This research focuses on analyzing the relationship between courses to support curriculum development that is responsive and relevant to industry needs and improves the quality of learning. The main objective of this research is to identify and understand relationship patterns between various courses based on student analysis scores using the Apriori algorithm, an effective data mining methodology for uncovering association rules between items in large datasets. By using a quantitative approach and quasi-experimental design, this research succeeded in analyzing grade data from various semesters, identifying combinations of courses that often appear together with high grades, indicating a positive correlation between related courses. The results of the analysis reveal that several basic courses play a significant role in forming a strong foundation for advanced courses, highlighting the importance of a capable curriculum structure. Although the lift scores show a neutral relationship, these findings provide important initial insights for further understanding of interactions between courses. The implication for curriculum development is the need to emphasize the integration of courses that have positive relationships to support a coherent learning process and increase student success.
Application of dijkstra algorithm to optimize waste transportation distribution routes in Tegal Regency Santoso, Bayu Aji; Surur, Misbahu; 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.v13i1.290

Abstract

Efficient waste management is essential for sustainable urban development, especially in densely populated areas such as Tegal Regency. The study addresses inefficiencies in current waste hauling routes that contribute to increased operational costs and environmental impacts due to long transit times and increased emissions. By applying the Dijkstra Algorithm, this study aims to optimize waste transportation routes to reduce these inefficiencies. This approach involves collecting primary and secondary data on the waste management system in Tegal, which is then analyzed using the dijkstra algorithm to determine the most efficient transport route. The findings show that route optimization can significantly reduce operational costs and carbon emissions, contributing to more sustainable waste management practices in the Tegal District. This study not only improves theoretical understanding of route optimization but also provides practical solutions to real problems in waste management systems.
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.
Prediction of Bank Central Asia stock prices after dividend distribution using ARIMA method Surorejo, Sarif; Sulthon, Muhammad; Anandianskha, Sawaviyya; 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.v13i1.294

Abstract

This study explores the prediction of Bank Central Asia (BBCA) stock prices following the annual dividend distribution using the Autoregressive Integrated Moving Average (ARIMA) method. The primary goal is to provide a robust forecasting tool to aid investors and financial analysts in making informed decisions. The research employs a quantitative approach with a quasi-experimental design, analyzing weekly BBCA stock price data from January 2019 to February 2024. The findings demonstrate that the ARIMA (2, 1, 2) model provides stable and reliable predictions of BBCA stock prices, showing slight weekly variations but overall stability. Practically, these predictive models can be integrated into a web-based platform, allowing real-time stock price forecasting and broader accessibility for users. This study contributes to the financial literature by validating the ARIMA model's applicability in the Indonesian stock market and suggesting the exploration of hybrid models and external economic factors for future research.
Co-Authors Aang Alim Murtopo Aditdya, Maulana Ahmad Zulfikri Aimar Akbar, Aminnur Aisyach Aminarti Santoso Al Fattah, Muhammad Raikhan Alan Eka Prayoga Albana, Muhammad Syifa Ali Murtopo, Aang Amalani, Mukhamad Zulfa Bakhtiar Ananda, Pingky Septiana Anandaianskha, Sawaviyya Anandianshka, Sawaviyya Anandianska, Sawaviyya Anandianskha, Sawaviyya Andriani, Wresti Andriani, Wresty Anshori, Abu Hasan Al Arianti, Tezya Sekar Arif, Zaenul Arifiyah, Nur Latifatul Arrohman, Zidni Dlia Aslam, Muhammad Nur Aziz, Taufiq Azmi, Isni Azmi, Muchamad Nauval Bangkit Indarmawan Nugroho Budiono, Wahyu Cahyo, Septian Dwi Catur Supriyanto Dari, Mayang Melan Dewi, Errika Mutiara Didiek Trisatya Dodi Setiawan Dodi Setiawan Dwi Fina Fahirah Dwi Kurniawan, Rifki Fadila, Nurul Fahirah, Dwi Fina Fanti, Azizah Permata Farkhan, Muhammad Fatkhurrohman Fatkhurrohman, Fatkhurrohman Firmansyah, Akhmad Lutfi Firmansyah, Hasbi Firmansyah, Muchamad Aries Gunawan Gunawan Hafid Subechi, Fadlan Handayani, Sri Harefa, Reyvan Sinatria Haris Fadillah Hassan, Muhamad Nur Hidayatullah, Bryan Adam Intan Mayla Faiza Intan Mayla Faiza Januarto, Sigit Khadziqul Humam Munfi Khasanah, Apriliani Maulidya Khusni, Muhammad Wazid Kurniawan, Rifki Dwi Lestari, Nindy Putri Limaknun, Lulu Lutfayza, Rezi Marzuqi, Maezun Nafis Maulana, M Taufik Fajar Miftakhuddin, Ahmad Miftakhudin, Muhammad Milkhatunisya, Milkhatunisya Moonap, Dinar Auranisa Muchamad Nauval Azmi Muh Ridwan Muhammad Sulthon Mutaqin, Ahadan Fauzan Muttaqin, Anik Naja, Naella Nabila Putri Wahyuning Ningrum, Isna Lidia Nughroho, Bangkit Indarmawan Nugroho Adhi Santoso Nugroho, Bangkit Indramawan Nur Aisyah Nur Tulus Ujianto Nurokhman, Akhmad Nursahid, Wahyu Nursidik, Maulia Nurul Fadhilah Nurul Fadilah, Nurul Prayoga, Alan Eka Priyo Haryoko Purwanto Purwanto Putra, Alif Sya’Bani Qurrotu Aini, Atikah Rafhina, Ana Ramadhan, Ilham Gema Rifki Dwi Kurniawan Rivaldiansyah, Rafik Riyadi, Fajar Sugeng Santoso, Aisyach Aminarti Santoso, Bayu Aji Santoso, Nughroho Adhi Santoso, Nugroho Adh Santoso, Nugroho Adhi Santoso, Nugroho Adi Saputra, Aryan Dandi Sarif Surorejo Sawaviyya Anandianskha Sawaviyya Anandianskha Sawaviyya Anandianskha Sawavyya Anandianskha Septian Ari Wibowo Septiana Ananda, Pingky Septiana, Pingky Setiawati, Windi Surur, Misbahu Sya’bani, Adhita Zulfa Syefudin, Syefudin Triwinanto, Mohammad Amin Triwinanto Ubaidillah, Muhamad Rizal Ujianto, Nur Tulus W.N, Naella Nabila Putri Wahyu Pratama, Raka Wahyuning Naja, Naella Nabila Putri Wilda Shabrina Wresti Andriani Wresti Andriani Wresti Andriani Yan Kurniawan Yan Kurniawan, Yan Yulison Herry Chrisnanto Zaenul Arif Zain Hidayatullah, Fikri Zain, Ahmad Muzakky