Article Per Year (5 Year)
p-Index From 2020 - 2025
4.763
P-Index
This Author published in this journals
All Journal Jurnal Informatika Upgris Syntax Literate: Jurnal Ilmiah Indonesia Musamus Journal Of Research Information and Communication Technology REMIK : Riset dan E-Jurnal Manajemen Informatika Komputer Journal of Intelligent Decision Support System (IDSS) Sustainable: Jurnal Kajian Mutu Pendidikan Nusantara Hasana Journal Jurnal Mandiri IT Brilliance: Research of Artificial Intelligence Jurnal Minfo Polgan (JMP) Journal Of World Science Batara Wisnu : Indonesian Journal of Community Services Jurnal Informatika Teknologi dan Sains (Jinteks) Jurnal Informatika dan Teknologi Informasi JSITP Jurnal Indonesia Sosial Teknologi Jurnal Publikasi Teknik Informatika (JUPTI) Jurnal Ekonomi, Teknologi dan Bisnis Innovative: Journal Of Social Science Research Jurnal Sains dan Ilmu Terapan JURSIMA Jurnal Akademik Pengabdian Masyarakat Svarga Pena: Jurnal Pengabdian Kepada Masyarakat
Nugroho Adhi Santoso
STMIK YMI Tegal
Agriculture, Biological Sciences & Forestry Humanities Astronomy Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Nursing Public Health Social Sciences Other

Published : 31 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 31 Documents
Search

 1   2   3   4 
Penerapan Neural Network Method dengan Struktur Backpropagation dalam Menentukan Prediksi Stock Barang Nugroho Adhi Santoso Adhi; Nurul Fadilah; Rifki Dwi Kurniawan; Ardi Supratman
REMIK: Riset dan E-Jurnal Manajemen Informatika Komputer Vol. 7 No. 3 (2023): Volume 7 Nomor 3 Agustus 2023
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/remik.v7i3.12828

Abstract

Penelitian ini bertujuan untuk mengaplikasikan metode jaringan neural dengan backpropagation setructure yang berfungsi memperkirakan stok barang yang akan datang disebuah toko yaitu Toko Bra House Tegal. Data yang dijadikan objek penelitian ini merupakan data persediaan barang di sebuah toko Bra House Tegal selama periode tiga bulan terakhir. Metode neural network dengan struktur backpropagation digunakan untuk mengolah data dan melakukan perkiraan stok barang di masa depan. Penelitian ini dilakukan dengan cara membangun model neural network dengan arsitektur jaringan yang terdiri dari input layer, hidden layer, dan output layer. Metode backpropagation digunakan untuk menentukan bobot dan bias pada masing-masing neuron dalam jaringan. Hasil dari penelitian mendemonstrasikan bahwa struktur neural network dengan metode backpropagation dapat digunakan pemprediksian terhadap persediaan barang pada Toko Bra House Tegal dengan akurasi yang baik. Dalam penelitian ini, akurasi prediksi mencapai 98.48%. Dengan adanya prediksi ini menghasilkan kontribusi yang sangat signifikan dalam memanajemen stok barang di toko, serta menjadi kontribusi dalam pengembangan ilmu pengetahuan dan teknologi di bidang neural network dan aplikasinya.
Perbandingan Metode Fuzzy Mamdani dan Fuzzy Tsukamoto untuk Identifikasi Tingkat Serangan Penyakit pada Tanaman Bawang Merah Bryan Adam Hidayatullah; Bangkit Indarmawan Nugroho; Nugroho Adhi Santoso; 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.v4i3.10506

Abstract

Penelitian ini membandingkan metode fuzzy Mamdani dan fuzzy Tsukamoto dalam mengidentifikasi tingkat serangan penyakit pada tanaman bawang merah untuk meningkatkan deteksi dini penyakit dan produktivitas pertanian. Menggunakan dataset parameter kesehatan tanaman, termasuk gejala penyakit dan kondisi lingkungan, penelitian mengaplikasikan kedua metode fuzzy tersebut untuk memperkirakan kerentanan tanaman terhadap penyakit. Hasil menunjukkan bahwa fuzzy Tsukamoto lebih akurat dan efisien, terutama dalam data kompleks. Penelitian ini memberikan pemahaman baru dalam aplikasi fuzzy logic pada penyakit tanaman bawang merah dan pengembangan model serupa di pertanian. Temuan ini penting untuk pengembangan sistem pendukung keputusan yang lebih efisien dalam pertanian, mengintegrasikan teknologi informasi dalam manajemen kesehatan tanaman.
Application of K-NN algorithm using gray level co-occurrence matrix for mango fruit classification cased on leaf image Bangkit Indarmawan Nugroho; Taufiq Aziz; Nugroho Adhi Santoso; 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.v7i2.233

Abstract

Mango is a fruit crop favored by the community, especially the people of Probolinggo. The most widely planted types of mangoes in the Probolinggo area are Saruman is, golek, and manalagi mangoes because they taste good. This study uses mango leaves as a dataset of three types of mangoes: arumanis, golek, and manalagi. Various ways can be done to distinguish mango types, one of which is by looking at the shape and texture of the mango tree leaves. Suppose you look at the data in the field. In that case, the shape and texture of the leaves of Saruman, golek, and manalagi mangoes have many similarities, making it difficult to distinguish with the naked eye. This research aims to classify mango types based on leaf shape and texture using the K-Nearest Neighbor method. The shape feature extraction process uses compactness and circularity methods, while the texture feature extraction process uses energy and contrast from the co-occurrence matrix approach. The classification method used is K-Nearest Neighbor. The test results of shape feature extraction took 0.043 seconds and texture 0.053 seconds
Digital Marketing Efforts to Improve Products of Micro Small and Medium Enterprises (UMKM) in Tegal Nugroho Adhi Santoso; Bangkit Indarmawan Nugroho; Aang Alim Murtopo; Sarif Surorejo; Gunawan Gunawan
Brilliance: Research of Artificial Intelligence Vol. 3 No. 2 (2023): Brilliance: Research of Artificial Intelligence, Article Research November 2023
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v3i2.3646

Abstract

Digital marketing is promotional activities and market search through the media digitally online by utilizing various means such as social networks. The aim of this research is to increase knowledge and skills about digital marketing, especially social media, for Small and Medium Enterprises (SME) business people to increase their sales and profits. Digital marketing is the use of social media networks to carry out promotional activities and map digital markets. By using computers or other electronic equipment, digital marketing ideas can bring together geographically diverse parties. The aim of this research is to identify the most effective digital marketing tactics for the growth of MSMEs in Tegal City and Tegal Regency. The method used in this research is descriptive qualitative. With Data collection through observation, interviews, and secondary sources, such as books, journals, and articles, were used to collect information for this research. The results of this research show that the productivity growth of MSMEs in Tegal City and Tegal Regency has not been positive. Even when a website for an online business has been created, not everyone has implemented a digital marketing plan. It can be seen that digital marketing strategies have not received much attention from MSMEs in Tegal City and Tegal Regency. So it is hoped that MSMEs in Tegal City and Tegal Regency can adapt to changing times, namely selling online using digital marketing strategies.
Expert system for diagnosing pests and diseases of shallot plants with naïve bayes method Sarif Surorejo; Muhammad Syifa Albana; Nugroho Adhi Santoso; 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.v13i1.304

Abstract

The development of an expert system for diagnosing pests and diseases of onion plants is of great importance given the significant role of these crops in the agricultural industry. This research aims to design and develop an expert system that can diagnose various pests and diseases that attack onion plants using the Naive Bayes method. This method was chosen for its ability to classify data based on probability assuming independence between features. This system is designed to assist farmers in identifying pests and diseases more accurately and quickly so that appropriate control measures can be taken immediately.  The training data used in this study included symptoms that often occur in onion plants due to pest or disease attacks. Each symptom is associated with the probability of the appearance of a particular pest or disease. This expert system is designed with an easy-to-use interface for farmers, where they can enter the symptoms observed in plants. Based on these inputs, the system will analyze and provide a diagnosis along with recommendations for control actions that can be taken. The system testing results show that this expert system has good accuracy in diagnosing pests and diseases in onion plants. Thus, this system can be an effective tool for farmers in managing the health of their onion plants. Further research is recommended to improve disease and pest databases and expand the application of these systems to other plant types.
Penerapan Metode Forward Chaining Pada Sistem Pakar Untuk Diagnosa Gangguan Penyakit Pada Perokok Khofifah Indah Hasanah; Sarif Surorejo; Nugroho Adhi Santoso; Pingky Septiana Ananda
Jurnal Informatika dan Teknologi Informasi Vol. 1 No. 2: September 2022
Publisher : PT. Bangun Harapan Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56854/jt.v1i2.77

Abstract

Merokok merupakan aktivitas manusia sehari-hari, rokok ini juga merupakan kebiasaan yang tak terhindarkan bagi pembuat tembakau, penting untuk kehidupan sehari-hari, tembakau mengandung narkotika sebab perokok dapat kecanduan di pagi hari, kajian ini dimulai dari beberapa masalah, beberapa landasan teori, mengumpulkan semua data, mengolah data, mendesain alat komunikasi, memberlakukan konsekuensi dari tahap layout, mencoba alat komunikasi yang bisa dapat dijalankan, kemudian dilanjutkan ke kajian terakhir. Tahap, khususnya menyusun laporan. Dalam penelitian ini, data yang akan dikumpulkan adalah masalah penyakit akibat merokok. Saat membuat struktur sistem pakar, menentukan struktur basis pengetahuan adalah Langkah awal yang harus dilakukan. Basis pengetahuan adalah kumpulan fakta. metode forward chainining adalah metode yang digunakan sistem pakar ini, solusi terbaik pada sistem ini untuk mengenali gejala penyakit pada perokok seawal mungkin, agar mengetahui penyebab penyakit dan cara mengendalikanya. Dalam sistem ini penulis membuat penerapan metode forward chaining untuk diagnosa penyakit pada perokok, system ini membutuhkan pakar yang ahli di bidang penyakit rokok untuk mendapakan data yang sesuai mengenai informasi penyakit rokok agar permasalahan yang ada teratasi. Kata Kunci : Forward chaining, Rokok , Sistem pakar.
ANALISIS DATA SCIENCE PADA STRUKTUR DATA KEPADATAN PENDUDUK KOTA TEGAL Marstyo Ardiansyah; Aang Alim Murtopo; Nurul Fadilah; Nugroho Adhi Santoso
Jurnal Publikasi Teknik Informatika Vol 1 No 3 (2022): September : Jurnal Publikasi Teknik Informatika
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (494.484 KB) | DOI: 10.55606/jupti.v1i3.620

Abstract

Indonesia merupakan negara dengan kepadatan penduduk yang sangat banyak nomer 4 di dunia. Kepadatan penduduk Indonesia mengalami peningkatan yang cukup signifikan setiap tahunnya, bersumber dari Badan Pusat Statistik Indonesia, sensus penduduk tahun 2021 kepadatan penduduk Indonesia mencapai 273 juta jiwa (Badan Pusat Statistik 2020). Kepadatan penduduk memiliki banyak konsekuensi dalam banyak hal, antara lain: kepadatan permukiman, kerawanan sosial, penyediaan air bersih yang semakin sulit, kemacetan dan pekerjaan yang semakin sulit. Program Keluarga Berencana (KB) yang dilaksanakan oleh pemerintah belum sepenuhnya mengatasi masalah kepadatan penduduk di Indonesia. Makan dengan permasalahan yang ada membutuhkan sebuah rumus, dengan Data Science dengan mengacu pada metode peramalan yang akan digunakan untuk peramalan jangka panjang, jangka menengah, dan jangka pendek diharapkan mampu menyelesaikan permasalahan kepadatan penduduk, peneliti melakukan penelitian di kota Tegal dalam peramalan tingkat penduduk. Dan untuk mengetahui kepadatan penduduk kota Tegal pada tahun yang akan datang maka perlu dilakukan suatu sistem peramalan tingkat kepadatan penduduk untuk memprediksi kepadatan penduduk pada 10 tahun mendatang dari data 10 tahun sebelumnya, sehingga diperoleh hasil dari peramal tahun sebelumnya akan menentukan peramalan data kepadatan penduduk pada tahun sebelumnya. yang akan datang. Teknik penelitian yang digunakan meliputi: pengumpulan data, peramalan data, analisis hasil dan kesimpulan. Hasil peramalan diambil dari nilai kesalahan Mean Absolute Deviation (MAD), Mean Square Error (MSE) dan Mean Absolute Percentage Error (MAPE) terkecil dari hasil peramalan Kepadatan Penduduk Kota Tegal.
Penerapan Aplikasi Pelayanan Masyarakat Desa (Studi Kasus: Desa Tonggara Kecamatan Kedungbanteng Kabupaten Tegal) Aang Alim Murtopo; Zaenul Arif; Bangkit Indarmawan Nugroho; Nugroho Adhi Santoso; Sarif Surorejo; Bayu Aji Santoso; Syefudin; Gunawan; Wresti Andriani; Rifki Dwi Kurniawan
JURNAL AKADEMIK PENGABDIAN MASYARAKAT Vol. 2 No. 4 (2024): Juli : Jurnal Akademik Pengabdian Masyarakat
Publisher : CV. KAMPUS AKADEMIK PUBLISING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61722/japm.v2i4.2209

Abstract

The implementation of the Community Service Application in Tonggara Village, Kedungbanteng District, Tegal Regency aims to simplify and speed up the community service process. This application is web-based and can be accessed by the public via computer, smartphone or tablet devices. Some of the services available in this application include providing information about village profiles, village potential, and village programs. The Village Community Services Application can process various village administration services, such as domicile certificates, business certificates and trade business permits. The Village Community Services Application provides a platform for the community to submit complaints to the village government, providing consultation services for the community regarding various matters, such as health, education and law. The implementation of this application is expected to increase the effectiveness and efficiency of community services in Tonggara Village. Apart from that, this application is also expected to increase the transparency and accountability of the village government to the community. The benefits of implementing the Village Community Service Application in Tonggara Village have several benefits, including increasing the effectiveness and efficiency of community services, making the community service process faster, easier and more transparent. Increasing transparency and accountability of village governments, communities can easily access information about available services and monitor village government performance. Increasing community satisfaction, people feel more satisfied with the services provided by the village government. Increasing community participation, it is easier to get involved in village activities. Implementing the community service application in Tonggara Village is the right step to improve the quality of public services in the village. This application can help village governments to provide more effective, efficient, transparent and accountable services to the community.
Character Building : Pentingnya Literasi Digital dan Kesehatan Reproduksi Remaja untuk Membentuk Siswa Kelas XI Hebat Nugroho Adhi Santoso; Bangkit Indarmawan Nugroho; Sarif Surorejo; Aang Alim Murtopo; Rifki Dwi Kurniawan; Syefudin Syefudin; Zaenul Arif; Bayu Aji Santoso
Svarga Pena : Jurnal Pengabdian Kepada Masyarakat Vol. 1 No. 4 (2024): Desember : Svarga Pena : Jurnal Pengabdian Kepada Masyarakat
Publisher : Universitas Veteran Bangun Nusantara Sukoharjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/svargapena.v1i4.71

Abstract

The abundance of information available in the digital world makes it difficult for students to sort out what is true and relevant. Many teenagers get information about reproductive health from unreliable sources or even myths. The lack of good role models can make teenagers lose their way. Equip students with the skills to evaluate information, think critically, and use technology responsibly. Grade XI students are at a critical stage of development. They are starting to form their identity, make more independent decisions, and prepare themselves for the future. Therefore, providing digital literacy and understanding of reproductive health at this age is very important to form a strong character. Students can understand how digital literacy and knowledge of reproductive health affect adolescent character, and can evaluate the effectiveness of character building programs that integrate digital literacy and reproductive health.
Prediksi Nilai Akhir Semester Siswa Menggunakan Algoritma Random Forest Slamet Kusworo; Nugroho Adhi Santoso; Rifki Dwi Kurniawan
Jurnal Sains dan Ilmu Terapan Vol. 7 No. 2 (2024): Jurnal Sains dan Ilmu Terapan
Publisher : Politeknik Kampar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59061/jsit.v7i2.918

Abstract

Students' end-of-semester grades show the results of the learning process that has been carried out for 1 semester, therefore accurate evaluation is very important to determine the extent to which learning objectives have been achieved properly. This research aims to create an appropriate prediction model to project students' final semester grades before the assessment period so that it can help teachers to identify at-risk students and provide appropriate treatment. This research uses the random forest algorithm and uses a dataset of student grades. The Random Forest model was successfully obtained through training and model evaluation using test data, showing an accuracy of 93.33%. The use of the random forest algorithm to predict students' final semester grades can be the right way to produce high accuracy for the benefit of educators in handling their students.
Co-Authors Aang Alim Murtopo Abdul Rochim Ahmad Zulfikri Anik Mutaqin Anik Muttaqin Ardi Supratman Arif Rohman Hakim Bangkit Indarmawan Nugroho Bayu Aji Santoso Bryan Adam Hidayatullah Chalimatus Solikhah Dewi Srifani Fajrul Falah Fikri Zain Hidayatullah Gunawan Gunawan Gunawan Gunawan Gunawan Gunawan Intan Mayla Faiza Isni Azmi Khofifah Indah Hasanah Khofifah Indah Hasanah Kusworo Adi Maezun Nafis Maezun Nafis Marzuqi Marstyo Ardiansyah Moh. Jamaludin Muhammad Syifa Albana Nurul Fadilah Nurul Fadilah Oky Dwi Nurhayati Pingky Septiana Ananda Rifki Dwi Kurniawan Rifki Dwi Kurniawan Sarif Surorejo Slamet Kusworo Suryadi Budiutomo Syefudin Syefudin Syefudin Taufiq Aziz Windi Setiawati Wresti Andriani Zaenul Arif Zaenul Arif Zainul Arif Zakaria Zuldhan Ibnu Pangestu