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Aplikasi Pengukuran Penggunaan Prebiotik untuk Tanaman Jagung di Kabupaten Aceh Utara Menggunakan Metode Fuzzy Tsukamoto Berbasis Web Angga Pratama; Maulida Hasbi; Ananda Faridhatul Ulva
Jurnal Ilmiah SINUS Vol 21, No 2 (2023): Volume 21 No. 2 Juli 2023
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30646/sinus.v21i2.707

Abstract

Corn, along with rice and wheat, is one of the world's most significant food crops. Crop failures are a common concern for farmers, and one of the causes is the use of unsuitable fertilizers, which can limit the growth of organs and plant structure as a whole. Because good corn plant growth and high yields require the use of good and appropriate fertilizer for corn plants, this system is designed to recommend fertilization for plants based on the variables required by plants, namely soil pH, air temperature, humidity, rainfall, rainy days, altitude area, solar radiation, and land area, as determined by the agricultural service. Where each value is calculated using a specified set of each criterion, namely little, medium, and high. The outcomes of these computations are the final result of this decision system, namely suggestions for fertilizer usage in liters to assist farmers in analyzing fertilizer use for corn plants in North Aceh District. As in prior works, Tsukamoto's fuzzy technique is applied in this decision-making system to handle data values with a very high level of uncertainty or ambiguity.
Sistem Pengambilan Keputusan Penentuan Kualitas Biji Kopi Ekspor Menggunakan Metode TOPSIS dan VIKOR (Studi Kasus : Biji Kopi Ekspor Pada Tiap Koperasi) Angga Pratama; Rizki Mela Kurnia; Veri Ilhadi
Jurnal Ilmiah SINUS Vol 21, No 2 (2023): Volume 21 No. 2 Juli 2023
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30646/sinus.v21i2.689

Abstract

Coffee, which has grown to be one of the most popular traditional plantation crops, contributes significantly to the economics of a coffee-producing region. Central Aceh, Bener Meriah, and Gayo Highlands are three of Indonesia's largest coffee-producing districts. A number of standards must be met in order for coffee beans to be regarded high grade and fall into the category of quality beans. TOPSIS and VIKOR methods were utilized in this research to develop a decision support system for assessing the quality of exporting beans. This system generates a rating as an output based on input values and weights, with weight values that can be adjusted by the chosen criteria. The purpose of this research is to develop software for grading coffee beans based on user input such as bean flaws, water volume, bean size, bean color, and aroma. Moreover, after two methods had been evaluated, TOPSIS method with the results of Gayo Permata cooperative with Grade 1 Arabica Gayo Coffee was recognized as the most effective method. Based on the results of KBQ Baburrayan cooperative using Arabica Gayo Coffee, TOPSIS is closer to the ideal solution than the VIKOR approach.
Sistem Klasifikasi Karakteristik Kepribadian untuk Menentukan Jurusan Perguruan Tinggi Menggunakan Metode MOORA dan Teori MBTI (Studi Kasus : SMA Negeri 7 Lhokseumawe) Mochamad Ari Saptari; Intan Aquiera; Angga Pratama
Jurnal Ilmiah SINUS Vol 21, No 2 (2023): Volume 21 No. 2 Juli 2023
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30646/sinus.v21i2.711

Abstract

Most high school students who want to pursue their study at a tertiary institution have difficulty making a decision. These students are confused and find it tough to make selections about their college majors. As a result, many new students drop out or switch majors after being accepted to their respective universities. In this study, a web-based decision support system was developed to determine college major choices utilizing MOORA Method and MBTI Theory. The purpose of this research is to ensure that students do not make the wrong decision when deciding on majors in higher institutions. The selection of majors is based on the abilities, interests, and personality of each student. The outcomes of these calculations are the final findings of this system's classification, namely recommendations for higher education majors based on the interests and talents of students in SMA Negeri 7 Lhokseumawe. MOORA calculation successfully produces major recommendations based on the grades inputted by students. Based on the findings of the system psychology test, MBTI theory was able to provide important recommendations based on students' interests.
SISTEM PENDUKUNG KEPUTUSAN DALAM PENENTUAN KUALITAS BANGUNAN RUMAH Burhanuddin Burhanuddin; Emi Maulani; Angga Pratama
Lentera : Jurnal Ilmiah Sains, Teknologi, Ekonomi, Sosial, dan Budaya Vol 5 No 3 (2021): Lentera, Mei 2021
Publisher : LPPM Universitas Almuslim

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Abstract

Model penelitian sistem pendukung keputusan dalam penentuan kualitas bangunan rumah untuk melihat hasil dari kualitas bangunan suatu rumah dan variabel dalam sarana dan prasarana sesuai standar dalam penentuan rumah. Model penelitian ini menggunakan model SAW (Simple Additive Weighting) yang di mana membutuhkan proses normalisasi matriks keputusan ke suatu skala yang dapat diperbandingkan dengan semua rating alternatif yang ada. Konsep model ini mencari penjumlahan terbobot dari rating kinerja pada setiap alternatif pada semua atribut. Tujuan penelitian ini adalah untuk melihat nilai evaluasi bangunan dalam pencapaian standar kompetensi yang ada. Permasalah yang tersulit dalam membuat pilihan adalah upaya menghilangkan faktor subjektifitas dari penilaian sehingga setiap pilihan yang dibuat bersifat objektif dengan berdasarkan pada kriteria-kriteria yang diharapkan oleh sebuah bangunan rumah. Berdasarkan permasalahan tersebut dibutuhkan sebuah model dalam mendukung pengambilan keputusan menggunakan metode SAW untuk kualitas bangunan rumah. Hasil penelitian ini diharapkan dapat memberi kemudahan dalam pengambilan keputusan untuk penentuan keputusan dalam penentuan kualitas bangunan rumah yang sesuai dengan kebutuhan dan kriteria yang telah ditetapkan. Hal ini memberikan informasi yang lebih realistis dan lengkap dalam decision making melihat kualitas bangunan dan sarana prasarana rumah.
Sistem Pakar Diagnosa Penyakit Pada Ayam Menggunakan Metode Forward Chaining: (Studi Kasus: Dinas Peternakan Dan Kesehatan Hewan Kabupaten Asahan) M Wahyu Suranta; Angga Pratama; Himmatur Rija
Jurnal Tika Vol 9 No 2 (2024): Jurnal Teknik Informatika Aceh
Publisher : Fakultas Ilmu Komputer Universitas Almuslim Bireuen - Aceh

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Abstract

Asahan Regency is one of the areas with a poultry population of laying hens with a population of 4,725,195 and broiler with a population of 27,881,073 which will continue to increase where the accompanying diseases are also increasingly complex. Diseases in chickens that occur in Asahan District will of course greatly affect chicken production in Asahan District. Therefore, it is necessary to develop an expert system where the system is a reference whether the chickens kept are infected with the disease or not, and if infected it is hoped that the disease suffered by the chickens being kept can be identified quickly and can carry out appropriate treatment. So that intensive care and maintenance of chickens will generate multiple profits. In this study a system was built by applying the Forward Chaining method to get the results that are closest to the symptoms of the disease that attacks these animals