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All Journal Jurnal Simetris Jurnal Buana Informatika JUITA : Jurnal Informatika Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Komputer Terapan Jusikom : Jurnal Sistem Komputer Musirawas JUTIM (Jurnal Teknik Informatika Musirawas) Jurnal Teknologi Informasi MURA Jurnal TIPS : Jurnal Teknologi Informasi dan Komputer Politeknik Sekayu JUSIM (Jurnal Sistem Informasi Musirawas) Jurnal Teknologi Komputer dan Sistem Informasi Jurnal Ilmiah Betrik : Besemah Teknologi Informasi dan Komputer JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Jurnal Sistem Komputer dan Informatika (JSON) Jurnal Digital Teknologi Informasi Jurnal Pengabdian kepada Masyarakat Nusantara Bulletin of Computer Science Research Journal of Informatics Management and Information Technology KLIK: Kajian Ilmiah Informatika dan Komputer Jurnal Teknologi Informasi Mura JTKSI (Jurnal Teknologi Komputer dan Sistem Informasi) Jurnal UNIV.BI MENGABDI
Andri Anto Tri Susilo, Andri Anto
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A MODEL HIBRID RESNET-SVM UNTUK KLASIFIKASI PENYAKIT TANAMAN JAGUNG BERBASIS CITRA DAUN Tri Susilo, Andri Anto; Basri, Hasan; Kurniawan, Rudi
Jurnal Teknologi Informasi Mura Vol 17 No 2 (2025): Jurnal Teknologi Informasi Mura DESEMBER
Publisher : LPPM UNIVERSITAS BINA INSAN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32767/jti.v17i2.2744

Abstract

Abstrak Perkembangan teknologi kecerdasan buatan (Artificial Intelligence/AI) memberikan dampak signifikan dalam bidang pertanian, khususnya pada deteksi dan klasifikasi penyakit tanaman. Penelitian ini mengusulkan model hibrid yang mengintegrasikan Residual Network (ResNet) sebagai ekstraktor fitur dengan Support Vector Machine (SVM) sebagai classifier utama untuk mengklasifikasikan penyakit pada tanaman jagung berbasis citra daun. Dataset yang digunakan mencakup empat kelas, yaitu Blight, Common Rust, Gray Leaf Spot, serta daun jagung Healthy atau sehat. Hasil pengujian menunjukkan bahwa model hibrid ResNet-SVM mampu mencapai akurasi akhir sebesar 94,61%. Berdasarkan laporan klasifikasi, performa terbaik ditunjukkan pada kelas Healthy dengan nilai precision, recall, dan f1-score mencapai 1,00. Kelas Common Rust juga memperoleh hasil tinggi dengan f1-score 0,96, sedangkan kelas Blight mencapai f1-score 0,92. Namun, kelas Gray Leaf Spot masih menjadi tantangan dengan f1-score 0,62 akibat jumlah data yang relatif lebih sedikit. Secara keseluruhan, nilai macro average f1-score tercatat sebesar 0,88, sementara weighted average f1-score mencapai 0,94. Temuan ini menunjukkan bahwa kombinasi ResNet dan SVM efektif dalam meningkatkan akurasi klasifikasi penyakit jagung, sekaligus memperkuat potensi penerapan metode hibrid deep learning dan machine learning dalam sistem deteksi penyakit tanaman berbasis citra digital. Kata kunci: Resnet, SVM, Model Hibrid, Klasifikasi, Penyakit Jagung Abstract The advancement of Artificial Intelligence (AI) has significantly impacted agriculture, particularly in plant disease detection and classification. This study proposes a hybrid model that integrates Residual Network (ResNet) as a feature extractor with Support Vector Machine (SVM) as the main classifier for classifying corn leaf diseases based on image data. The dataset consists of four classes: Blight, Common Rust, Gray Leaf Spot, and Healthy leaves. Experimental results show that the hybrid ResNet-SVM model achieved a final accuracy of 94.61%. The best performance was obtained in the Healthy class with precision, recall, and f1-score of 1.00. The Common Rust class also achieved a high f1-score of 0.96, while the Blight class reached 0.92. However, the Gray Leaf Spot class remained more challenging, with an f1-score of 0.62 due to the relatively smaller number of samples. Overall, the model achieved a macro average f1-score of 0.88 and a weighted average f1-score of 0.94. These findings demonstrate that the combination of ResNet and SVM is effective in enhancing classification accuracy compared to single methods, highlighting its potential application in developing automated corn disease detection systems based on digital leaf images. Keywords: ResNet, SVM, hybrid model, classification, corn disease
Pengukuran Tingkat Kelembapan Tanah Dan Suhu Berbasis Arduino Uno pada Kelompok Tani Karya Maju II (Dua) Armanto Armanto; Andri Anto Tri Susilo; Harma Oktavia Lingga Wijaya; Wisdalia Maya Sari
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 3 No. 4 (2022): Juni 2022
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v3i4.4197

Abstract

Electronic technology has recently developed rapidly, almost all aspects of daily human life have been covered by equipment with electronic technology systems, both using analog and digital control systems. Measurement is very important in science, especially in engineering. Measurement plays an important role in helping human work. As a country with vast natural resources, agriculture has enormous potential as state revenue. In addition, the agricultural sector is one of the most important sectors that increase the economic growth of the Indonesian people. One of the most important factors in agriculture is the quality of agricultural land. The better the agricultural land, the agricultural output will also increase. Factors that affect the quality of agricultural land are soil moisture and temperature. The life of biological elements contained in the soil including hosts, pathogens, and other microorganisms which vary greatly is influenced by soil moisture factors. condition of agricultural land in the area of Air Satan village. farmers in the air satan village have difficulty monitoring soil fertility in agricultural areas in the air satan village area, therefore the author wants to develop a tool that functions to measure the level of soil moisture with the measurement results displayed using a 16x2 LC which can be directly seen in order to make it easier for farmers or farmer groups in monitoring soil moisture and temperature in the agricultural area of Airsatan Village.
Sistem Prediksi Pertumbuhan Ekonomi Kabupaten Musi Rawas, Kabupaten Musi Rawas Utara Dan Kota Lubuklinggau Dengan Metode Regresi Linier Andri Anto Tri S; Armanto Armanto; Harma Oktafia Lingga Wijaya; Wisdalia Maya Sari
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 3 No. 4 (2022): Juni 2022
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v3i4.4198

Abstract

The economic condition of a region in each period can increase or decrease by looking at changes in goods and services. An increase in economic activity is a process of changing economic conditions that occur in an area on an ongoing basis to get to a better state for a certain period of time. Economic growth is a benchmark in achieving the development of economic conditions in a region so that it has an impact on increasing people's welfare. South Sumatra's economic growth in the first quarter of 2021 improved compared to the previous quarter. Similar to economic growth in South Sumatra Province, the districts and cities in it (Musi Rawas Regency, North Musi Rawas and Lubuklinggau City) also experienced ups and downs of economic growth. With the current ups and downs of economic growth, Musi Rawas Regency, North Musi Rawas and Lubuklinggau City need accurate information about the picture of economic growth in the future, this is intended to be able to prepare various policies or actions so that the level of the economy in Musi Rawas Regency, Musi North Rawas and Lubuklinggau City can be increased. Based on this problem, Musi Rawas Regency, North Musi Rawas and Lubuklinggau City need a prediction system in order to see a picture of economic growth in the future. The purpose of this study is to design a prediction system that can predict the rate of economic growth in Musi Rawas Regency, North Musi Rawas and Lubuklinggau City. The method used in the prediction system is a simple linear regression method, the use of a simple linear regression method in this study due to the limited time of the study and used to determine the direction of the relationship between the independent variable and the dependent variable, whether it has a positive or negative relationship and to predict the value of the dependent variable if the value of the independent variable increases or decreases.
Prediksi Pola Penjualan Barang pada UMKM XYZ dengan Metode Algoritma Apriori Harma Oktafia Lingga Wijaya; Andri Anto Tri. S; A Armanto; Wisdalia Maya Sari
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 3 No. 4 (2022): Juni 2022
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v3i4.4200

Abstract

Through the development of information technology today, the need for clear and accurate information is needed in everyday life, so that information will become an important thing in society. Sometimes high information needs are not accompanied by the presentation of adequate information, often information through the mining process is expected to provide information that was previously hidden in the data warehouse so that it becomes important and valuable information [1]. Utilization of existing data in the information system to support decision-making activities, it is not enough to just rely on operational data, a data analysis is needed to explore the potential of existing information. Decision makers try to take advantage of existing data warehouses to explore useful information to help make decisions, this encourages the emergence of new branches of science to overcome the problem of extracting important or interesting information or patterns from large amounts of data, which is called data mining. 2]. MSME XYZ is one of the leading MSMEs in Lubuklinggau City where this MSME sells various kinds of durian products such as tempoyak, lempok durian, peeled durian, durian pancakes, durian ice cream, durian coffee, durian seed chips etc. Every day MSME XYZ carries out activities such as sales transactions, providing product stock and so on, from the existing sales data so far XYZ has not been able to provide information about the pattern of customer spending habits so that transaction data cannot help leaders in making decisions from data collected. there is. Association analysis or association rule mining is a data mining technique to find the rules of a combination of items. One of the stages of association analysis that has attracted the attention of many researchers to produce efficient algorithms is high frequency pattern analysis (frequent pattern mining). The output of data mining can be used to improve decision making in the future.
Penerapan Metode Composite Performance Index (CPI) Pada Pemilihan Hotel Di Kota Lubuklinggau Tri Susilo, Andri Anto
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 1 No 3 (2017): Desember 2017
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (382.62 KB) | DOI: 10.29207/resti.v1i3.79

Abstract

Seiring dengan kemajuan zaman, kemajuan teknologi informasi juga semakin berkembang pesat. Perkembangan teknologi informasi, memiliki dampak besar pada berbagai bidang kehidupan masyarakat baik dari segi sosial, ekonomi, pendidikan, pembangunan, dan pariwisata. Salah satu unsur penting yang mendukung sektor pariwisata adalah adanya hotel. Hotel sebagai sarana akomodasi umum sangat membantu wisatawan yang berkunjung dengan menyediakan layanan penginapan. Keragaman hotel sering membuat para wisatawan kesulitan dalam menentukan hotel yang akan dipilih sebagai tempat menginap. Sistem pendukung keputusan adalah model yang dibangun untuk memecahkan masalah terstruktur. Composite Performance Index (CPI) adalah metode yang umum digunakan dalam proses pengambilan keputusan adalah). Metode CPI menggunakan pemecahan masalah dengan sistem Multiple Criteria Decision Making (MCDM) yang menentukan urutan atau prioritas dalam analisis multikriteria. Hasil akhir dari penelitian ini adalah terciptanya sistem pendukung keputusan yang menghasilkan informasi mengenai peringkat hotel yang dapat dijadikan tempat referensi untuk tetap memperhatikan beberapa kriteria, termasuk tarif kamar, jarak ke pusat kota, fasilitas dan layanan.
Co-Authors Anita Maharani Aprillian, Alif Armanto Armanto Armanto, Armanto aviani, tri hasanah bimastari Budi Santoso Bunga Intan Bunga Intan Dwi Budi Santoso Elmayati, Elmayati Harma Oktavia Lingga Wijaya Hasan Basri Hidayat, Asep Toyib Intan, Bunga Lestari, Novi Lingga Wijaya, Harma Oktafia Lukman Hakim Lukman Lukman Lukman Sunardi LW, Harma Oktavia Martadinata, A. Taqwa Maya Sari, Wisdalia Melizah, Melizah Mona Anggrelyka Putri Muhamad Akbar Muhammad Cahaya Saputra nansyah, Satria Nelly Khairani Daulay Nur Alamsyah, Muhammad Putra, Andriansah Rohani, Dewi Rudi Kurniawan Salsabila, Amanda Sari, Wisdalia Maya Setiawan, Nurkholis sobri, ahmad Sunardi, Lukman Susanto Susanto Susanto Susanto Syamsul Arifin, M. Agus Veithzal Rivai Zainal Wijaya, Harma Oktavia Lingga Wisdalia Maya Sari Wisdalia Maya Sari Wiwit Lestari Wulandari, Cindi Yuliani Waruwu Yupita Sari