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All Journal Jurnal Ilmu Komputer dan Informasi Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer Sinkron : Jurnal dan Penelitian Teknik Informatika Specta Journal of Technology Scientific Journal of Informatics ILTEK : Jurnal Teknologi Journal of System and Computer Engineering Jurnal Pengabdian Masyarakat Abdimas Madani Patria Artha Journal of Community Jurnal Nasional Teknik Elektro dan Teknologi Informasi Jurnal Teknologi dan Komputer ILTEK : Jurnal Teknologi Jurnal Pengabdian Sosial
Nursuci Putri Husain
Universitas Islam Makassar
Religion Aerospace Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Mechanical Engineering Nursing Public Health Social Sciences

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RANCANG BANGUN SISTEM INFORMASI DATA KEBUTUHAN PETANI JAGUNG HIBRIDA KUNING BERBASIS ANDROID (STUDI KASUS DESA TOLADA - KABUPATEN LUWU UTARA) Nursuci Putri Husain; Suradi Suradi; Herwinsyah Herwinsyah; Riski Futriani; Muh. Ichwan Kadir
ILTEK : Jurnal Teknologi Vol. 19 No. 01 (2024): ILTEK : Jurnal Teknologi
Publisher : Fakultas Teknik Universitas Islam Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47398/iltek.v19i01.154

Abstract

Pertanian jagung hibrida kuning di Desa Tolada, Kabupaten Luwu Utara, merupakan salah satu sektor penting yang mendukung ekonomi lokal. Namun, berbagai tantangan yang dihadapi petani dalam pengelolaan pertanian seringkali menghambat produktivitas dan efisiensi. Tujuan penelitian ini adalah merancang sebuah sistem untuk memfasilitasi pengumpulan, pengelolaan, dan penyajian data kebutuhan petani. Metode penelitian yang digunakan adalah Research and Development (R&D), yang melibatkan beberapa tahap utama. Pertama, dilakukan analisis kebutuhan untuk mengidentifikasi kebutuhan petani jagung hibrida kuning melalui wawancara dan observasi. Selanjutnya, perancangan sistem dilakukan untuk membuat desain arsitektur aplikasi berbasis Android. Setelah itu, pengembangan sistem dilakukan dengan mengimplementasikan desain menjadi aplikasi nyata. Tahap berikutnya adalah pengujian sistem untuk memastikan semua fitur berfungsi dengan baik, diikuti oleh evaluasi dan penyempurnaan berdasarkan umpan balik pengguna. Hasil dari penelitian ini adalah adanya sistem informasi berbasis Android yang dapat mendata kebutuhan petani jagung hibrida kuning di Desa Tolada, Kabupaten Luwu Utara. Sistem informasi ini juga telah diuji menggunakan metode Blackbox Testing dan telah divalidasi oleh pakar. Sistem ini mampu meningkatkan efisiensi pengelolaan data kebutuhan petani sehingga diharapkan dapat berkontribusi positif terhadap peningkatan produktivitas pertanian jagung hibrida kuning di wilayah tersebut.
Pelatihan Budidaya Jamur Dan Pembuatan Media Tanam Jamur Tiram Di Sulawesi Selatan Ichwan K, Muh.; Husain, Nursuci Putri
Patria Artha Journal of Community (PKM) Vol 1, No 2 (2021): Patria Artha Journal of Community
Publisher : Universitas Patria Artha

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (2079.744 KB) | DOI: 10.33857/pajoco.v1i2.484

Abstract

 Oyster mushroom is one of the most commonly processed mushrooms as food ingredients and has high economic value. Many people in the South Sulawesi area are interested in cultivation of oyster mushrooms, but inexperience about cultivation and making oyster mushroom growing media (baglog) in the South Sulawesi area has made people unable to cultivation the oyster mushrooms independently. The purpose of engagement was to provide training in the cultivation and manufacture of oyster mushroom growing media to the community, so that people can cultivate and make mushroom growing media. This training begins with the provision of cultivation materials and the manufacture of growing media for oyster mushrooms, as well as business prospects for oyster mushrooms. Then, the practice of guidance on making oyster mushroom growing media, sterilization and mushroom inoculation was carried out. After that, simulation and evaluation were carried out, where participants were formed in groups and did independent practice of making mushroom growing media. This activity was carried out in one of the oyster mushroom cultivation sites in the City of Parepare, South Sulawesi, namely "Sahabat Jamur". This activity is also supported by the Corporate Social Responsibility (CSR) Program of PT PLN Persero – Sulselrabar Region. The training was conducted from 2 to 4 July 2021, and continued post-training monitoring via Whatsapp Group. The evaluation results from this training show that the cultivation and manufacture of oyster mushroom growing media can be done independently by the community, especially in the South Sulawesi area. The prospect of oyster mushroom cultivation and its processing has a very big opportunity in South Sulawesi.Keywords: Cultivation, Baglog, Oyster mushroom, South Sulawesi, Sahabat Jamur
Analisis Diagnosis Penyakit Ikan Lele Berbasis Website Menggunakan Metode Forward Chaining Dan Certainty Factor Sukirman, Sukirman; El Fazza, Fahri; Husain, Nursuci Putri
Jurnal Ilmiah Informatika Vol. 8 No. 1 (2023): Jurnal Ilmiah Informatika
Publisher : Department of Science and Technology Ibrahimy University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35316/jimi.v8i1.37-53

Abstract

There are several new symptoms and new types of diseases in catfish farming. Through this website, catfish farmers can find out how to prevent and solve catfish diseases. The Expert System Development Life Cycle is the study methodology utilized an expert system with a forward chaining mechanism as a decision, while the certainty factor is a supporter of confidence for the diagnosis of catfish disease. Confidence from experts and users on the type of flatulence with a value of 74% while a little confidence in the type of intestinal rupture and the bacterium Flexibacter columnaris with a value of 30%.
The Oyster Mushroom Harvesting Determination System Based On Image Processing and Multi Layer Perceptron Husain, Nursuci Putri; Kadir, Muh. Ichwan; Muh. Dzulkifli P
Sinkron : jurnal dan penelitian teknik informatika Vol. 8 No. 4 (2024): Article Research Volume 8 Issue 4, October 2024
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v8i4.14126

Abstract

Oyster mushroom cultivation in Indonesia has seen rapid growth in recent years, particularly in South Sulawesi. The demand for oyster mushrooms is increasing as they are considered a nutritious food source. However, mushroom farmers are currently unable to fulfill market demand due to limited harvest yields. The primary factor contributing to this issue is the farmers' lack of skills in oyster mushroom cultivation. Therefore, an intelligent system is needed to identify and monitor the growth of oyster mushrooms, which can help to improve harvest yields. In this research, a system for determining oyster mushroom harvest timing will be designed using image processing techniques. This system will work by analyzing images of oyster mushrooms captured using a digital camera on the mushroom growing medium and then identifying visual characteristics that indicate mushroom maturity, such as color, texture, and size. The proposed method consists of several stages: image dataset collection, image preprocessing, image segmentation, morphological operations, feature extraction, and image classification based on Multi-Layer Perceptron (MLP). The dataset obtained includes 150 images of oyster mushrooms, divided into two classes: ready for harvest and not ready for harvest. The test results show that the proposed method can accurately identify oyster mushrooms as either ready for harvest or not. The classification model achieved an accuracy rate of 96.67%. By utilizing this technology, it is expected to enhance efficiency and consistency in the harvesting process and assist farmers in making informed decisions.
Klasifikasi Sinyal EEG Dengan Power Spectra Density Berbasis Metode Welch Dan MLP Backpropagation Husain, Nursuci Putri; Aji, Nurseno Bayu
Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer Vol. 3 No. 1 (2019)
Publisher : P3M Politeknik Negeri Banjarmasin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31961/eltikom.v3i1.99

Abstract

Electroencephalogram (EEG) signal is a signal that could become an information for study about disorders of brain function such as Epilepsi. EEG that detected in epileptic seizures produce patterns that allow doctors to distinguish it from normal conditions. However, a visual analysis can not be done continuously. This study proposed a new hybrid method of EEG signal classification using Power Spectral Density (PSD) based on Welch method, Principle Component Analysis (PCA), and Multi Layer Perceptron Backpropagation.There are 3 main stages in this study, firstly preprocessing the dataset of EEG signals by Power Spectral Density (PSD) based on Welch method, then Principle Component Analysis (PCA) as a method of dimensionallity reduction of the EEG signal data and the Multi Layer Perceptron Backpropagation for classifying a signal. Based on experimental results, the proposed method is successfully obtain high accuracy for the 80-20% training-testing partition (99.68%).
Co-Authors Agus Zainal Arifin Ahmad Hanafie Arwinsa Arwinsa Chastine Fatichah Darlis Herumurti El Fazza, Fahri Hariati Kumkelo Herlinah B Herlinah B Herwinsyah Herwinsyah Ichwan K, Muh. Junaedy Junaedy M Akbar Mithahul Khairah Muh. Dzulkifli P Muh. Ichwan Kadir Munawar Soasiu Mutmainnah Mutmainnah Mutmainnah Mutmainnah Nursanti Novi Arisa Nurseno Bayu Aji Nurseno Bayu Aji, Nurseno Bayu Putri Nur Rahayu Ria Rahmi Putri Rikhzan Ainun Nur Riski Futriani Rosmiati Sajiah Sajiah Siti Eti Tridamayanti Siti Eti Tridarmayanti Sukirman Sukirman Sukirman Suradi Suradi Ulfa Nurhidayah