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All Journal Jurnal Proteksi Tanaman Tropika Jurnal Ilmiah Intech : Information Technology Journal of UMUS jurnal proteksi tanaman tropika
Feri Arianto
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Agriculture, Biological Sciences & Forestry Computer Science & IT Decision Sciences, Operations Research & Management

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Pengaruh Tanaman Refugia Kenikir (Cosmos caudatus) dan Marigold (Tagetes erecta L.) terhadap Serangan Lalat Buah (Bactrocera spp.) pada Tanaman Cabai Merah Besar (Capsicum annuum L.) di Lahan Gambut Feri Arianto; Salamiah Salamiah; Samharinto Soedijo
JURNAL PROTEKSI TANAMAN TROPIKA Vol 5 No 1 (2022): Edisi 5(1): Februari 2022
Publisher : www.ulm.ac.id

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/jptt.v5i1.1032

Abstract

Big red chili (Capsicum annuum L.) is a commodity that is very much needed, especially in the food industry and its needs are often increasing. The increasing demand is inversely proportional to the availability of chili that cannot be fulfilled. The causes include the constraints of fruit fly (Bactrocera spp.) attacks that always occur on chili plants. Symptoms caused by the presence of small holes in the chili fruit, the fruit falls out and there are larvae in the fruit. Control that is often done is to use chemical insecticides which can cause environmental pollution. One solution is to use refugia plants. This study was conducted to determine the effect of refugia plants on fruit fly attacks on chili plants and the effectiveness of kenikir (Cosmos caudatus) and marigold (Tagetes erecta L.) plants in suppressing fruit fly attacks on chili plants. The design used was a randomized block design (RAK) with 4 treatments, control (T0), kenikir and marigold plants planted with chili (T1), kenikir plants planted with chili (T2), marigold plants planted with chili (T3) and repeated as many as six times. The results of observations, refugia plants affect fruit fly attacks. Refugia marigold plant, the intensity of attack of fruit flies reached 6.01% and 19.30%, while the intensity of attack of kenikir was 13.61% and 33.61%, respectively
Pengaruh Tanaman Refugia Kenikir (Cosmos caudatus) dan Marigold (Tagetes erecta L.) terhadap Serangan Lalat Buah (Bactrocera spp.) pada Tanaman Cabai Merah Besar (Capsicum annuum L.) di Lahan Gambut Feri Arianto; Salamiah Salamiah; Samharinto Soedijo
JURNAL PROTEKSI TANAMAN TROPIKA Vol 5 No 1 (2022): Edisi 5(1): Februari 2022
Publisher : www.ulm.ac.id

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/jptt.v5i1.1032

Abstract

Big red chili (Capsicum annuum L.) is a commodity that is very much needed, especially in the food industry and its needs are often increasing. The increasing demand is inversely proportional to the availability of chili that cannot be fulfilled. The causes include the constraints of fruit fly (Bactrocera spp.) attacks that always occur on chili plants. Symptoms caused by the presence of small holes in the chili fruit, the fruit falls out and there are larvae in the fruit. Control that is often done is to use chemical insecticides which can cause environmental pollution. One solution is to use refugia plants. This study was conducted to determine the effect of refugia plants on fruit fly attacks on chili plants and the effectiveness of kenikir (Cosmos caudatus) and marigold (Tagetes erecta L.) plants in suppressing fruit fly attacks on chili plants. The design used was a randomized block design (RAK) with 4 treatments, control (T0), kenikir and marigold plants planted with chili (T1), kenikir plants planted with chili (T2), marigold plants planted with chili (T3) and repeated as many as six times. The results of observations, refugia plants affect fruit fly attacks. Refugia marigold plant, the intensity of attack of fruit flies reached 6.01% and 19.30%, while the intensity of attack of kenikir was 13.61% and 33.61%, respectively
MODEL KLASIFIKASI DATA REMISI NARAPIDANA MENGGUNAKAN ALGORITMA K-NEAREST NEIGHBORS DENGAN OPTIMASI ALGORITMA GENETIKA: MODEL KLASIFIKASI DATA REMISI NARAPIDANA MENGGUNAKAN ALGORITMA K-NEAREST NEIGHBORS DENGAN OPTIMASI ALGORITMA GENETIKA Titik Khotiah; Yuna Sugianela; Dewi Setiowati; Feri Arianto
Jurnal Teknik Informatika UMUS Vol 4 No 01 (2022): Mei
Publisher : Universitas Muhadi Setiabudi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46772/intech.v4i01.709

Abstract

Dalam sistem baru pembinaan narapidana, remisi merupakan pengurangan hukuman terhadap narapidana dan anak pidana yang berkelakuan baik dengan tujuan untuk berbuat baik dan segera menjalani kehidupan di masyarakat. Kriteria pemberian remisi perlu diperjelas sehingga dapat menutup peluang remisi menjadi komoditas. Untuk itu perlu dilakukan klasifikasi terhadap pemberian remisi bagi narapidana. Pendekatan melalui computer science diterapkan sebagai model yang dapat membantu Klasifikasi. Metode Klasifikasi yang akan diterapkan dalam penelitian ini yaitu algoritma K-Nearest Neighbors (K-NN). Salah satu kelemahan dari K-NN adalah pemilihan nilai k, jika k sangat kecil maka akan mengakibatkan hasil klasifikasi terasa kaku. Sebaliknya jika k terlalu besar dapat menyebabkan hasil klasifikasi semakin kabur. Model klasifikasi remisi tahanan pertama dengan K-NN tanpa optimasi bertujuan untuk menentukan nilai k optimal secara manual. Selanjutnya K-NN dioptimasi dengan Algoritma Genetika untuk menentukan nilai k secara optimal.Hasil dari proses analisa untuk menentukan remisi narapidana dengan Metode K-NN dioptimasi menggunakan Algoritma Genetika memiliki tingkat akurasi yang lebih tinggi dengan nilai k = 7 yaitu 91.36% dari pada penggunaan Metode K-NN yaitu sebesar 87.50 %. Hasil penerapan Algoritma Genetika pada Metode K-NN pada klasifikasi remisi narapidana, dengan terdiri dari 1.760 data dan 9 indikator dengan 1 label, di proses Nilai Crossover = 0.5, Fitness = ~ dan Mutation = -1, dari 9 indikator dengan 1 label, dihasilkan indikator X1 = Golongan Registrasi, X3 = Warga Negara, X4 = Agama, X5 = Lama Pidana, X6 = Jenis Kejahatan, X7 = Besaran Denda, X9 = Status JC. Sehingga atribut-atribut tersebut adalah atribut yang paling menentukan dalam ketepatan dan keefektifan klasifikasi penentuan Remisi Narapidana.
Co-Authors Dewi Setiowati Salamiah . Samharinto Samharinto Titik Khotiah Yuna Sugianela