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Upaya Peningkatan Kunjungan Posyandu di Dusun Serai Serumpun Desa Sumber Agung Siregar, Hamdan Maruli; Munandar, Tri Imam; Kurnia, Ayu; Susilawati, Ayu; Novia, Laudy; Lovy, Jelisa Laxmy; Putri, Gendis Klara; Yashinta, Sherly; Lorenza, Putri Suci; Mellinia, Nurul; Darmawanto, Darmawanto; Kurniawan, Hafif; Bhagaswanda, Algi
BangDimas Jurnal Pengembangan dan Pengabdian Masyarakat Vol 1 No 1 (2022): Jurnal Pengembangan dan Pengabdian Masyarakat (November 2022)
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat, Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/jppm.v1i1.22573

Abstract

Posyandu merupakan salah satu bentuk upaya kesehatan bersumber daya masyarakat yang dikelola dan diselenggarakan dari, oleh, untuk dan bersama masyarakat. Posyandu dapat memberikan kemudahan kepada masyarakat dalam memperoleh pelayanan kesehatan dasar. Serai Serumpun merupakan salah satu dusun yang berada di Desa Sumber Agung yang tingkat kesadaran masyarakatnya masih rendah untuk mengunjungi posyandu. Tujuan pelaksanaan kegiatan ini adalah untuk meningkatkan pemahaman dan kesadaran masyarakat Dusun Serai Serumpun untuk melakukan pemeriksaan kesehatan ke posyandu. Kegiatan ini dilaksanakan pada hari senin, 23 Mei 2022, bertempat di rumah Kader Posyandu Dusun Serai Serumpun. Peserta pada kegiatan ini adalah ibu-ibu yang memiliki bayi atau balita, ibu hamil, dan wanita yang baru menikah dalam kurun waktu kurang dari 3 bulan. Beberapa kegiatan yang dilakukan adalah penyuluhan mengenai peran penting posyandu, pengukuran antropometri sebagai deteksi dini, dan pemberian makanan tambahan. Secara keseluruhan kegiatan ini mampu meningkatkan pengetahuan masyarakat tentang peran penting posyandu dan juga meningkatkan jumlah kunjungan masyarakat ke posyandu, yaitu dari 14% menjadi 62% jumlah kunjungan. 
Evaluasi efektivitas tanaman repelen dalam pengendalian penggerek batang Apomecyna saltator F. (Coleoptera: Cerambycidae) pada tanaman labu madu dengan pola tanam tumpang sari: Evaluation of the effectiveness of repellent plants in controlling stem borers Apomecyna saltator F. (Coleoptera: Cerambycidae) on honey pumpkin plants with intercropping patterns Salsabilla, Fitria; Wilyus; Siregar, Hamdan Maruli
Jurnal Entomologi Indonesia Vol 20 No 1 (2023): March
Publisher : Perhimpunan Entomologi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5994/jei.20.1.57

Abstract

Apomecyna saltator Fabricius (Coleoptera: Cerambycidae) is a pest of honey pumpkin plants whose presence is increasingly more economically important. However, information about this pest is still very limited. Control by application of intercropping patterns has prospects and needs to be developed further. Control of this pest should be an integral part of the development of integrated pest management. This research was conducted to determine the effect of intercropping pattern of honey pumpkin plants with several repellent plants on percentage of infestation, population of A. saltator larvae/pupae, and honey pumpkin production. This study was designed with a randomized block design (RBD) consisting of 4 treatments, namely: honey pumpkin plants monoculture (A); intercropping of honey pumpkin and lemon grass plants (B); intercropping of honey pumpkin and turmeric plants (C); intercropping of honey pumpkin and spring onion plants (D). Each treatment was repeated 6 times. The results show that; the average percentage of infestation by A. saltator until 56 days after planting (DAP) for all treatments ranged from 72–79.6%. The population of A. saltator larvae/pupae ranged from 107–128 individuals/9 plants. Honey pumpkin production ranged from 21.97–26.75 kg/9 plants. From the results it was concluded that turmeric, lemon grass, and spring onions had no effect on the percentage of infestation of A. saltator populations, and honey pumpkin production.
Classification of Dragon Fruit Stem Diseases Using Convolutional Neural Network Hakim, Lutfi; Asyhari, Aditya Roman; Kristanto, Sepyan Purnama; Yusuf, Dianni; Prasetyo, Junaedi Adi; Siregar, Hamdan Maruli
INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi Vol 7 No 2 (2023): August 2023
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/intensif.v7i2.20093

Abstract

A holticulture plant known as dragon fruit (pitaya) is a fruit that has many benefits and is widely cultivated by farmers in several areas of Banyuwangi. In dragon fruit plants there are various kinds of diseases that attack including red spot, stem rot, black rot, scab, and mosaic. Farmers still recognize diseases on dragon fruit stems manually so that sometimes there are errors in disease recognition. In this research, a system was developed to identify the types of diseases on dragon fruit stems. This system was built by proposing the Convolutional neural network method with the proposed architecture using the Python programming language with the Tensorflow, Keras, and Scikit-Learn libraries. The proposed system is tested using k-fold cross validation with tunning parameters fold = 5 and epoch = 5. The training results show that the highest accuracy performance value is 85.06% with the data used as test data as many as 191 images producing 147 correct data and 44 data wrong, while the average overall accuracy score was 76.43%.