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All Journal Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) Jurnal Ilmiah Sinus JPPM (Jurnal Pengabdian dan Pemberdayaan Masyarakat) METIK JURNAL Jurnal Informatika Kaputama (JIK) Jurnal Mantik Rambideun : Jurnal Pengabdian Kepada Masyarakat Jurnal Tika Mejuajua TECHSI - Jurnal Teknik Informatika Lentera
Angga Pratama
Universitas Malikussaleh
Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Public Health Social Sciences Other

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Journal : Jurnal Ilmiah Sinus

 1 
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.
Co-Authors Abror Abror Afta Adiyatma Wicaksana Afta Adiyatma Wicaksana Ananda Faridhatul Ulva Ar Razi Burhanuddin Burhanuddin Cut Ita Erliana Desuriyan Ramadhan Desvina Yulisda Eka Susanti Emi Maulani Eri Saputra Eza Pradanta Sitepu Fajar Tri Tri Anjani Fakrurrazi Hafizh Al Kautsar Aidilof Himmatur Rija ilham - sahputra Ilham Saputra Ilham Saputra Intan Aquiera Janner Simarmata M Wahyu Suranta Maulida Hasbi Mochamad Ari Saptari Muhammad Habib Mutammimul Ula Mutiara Fajar Rafika Rafika Ria Zulhusna Richki Hardi Rizki Mela Kurnia Rizki Putra Fhonna Rizki Setiawan Rizky Putra Phonna Salamah Salamah Sapna Biby Sayed Fachrurrazi Suheri Sujacka Retno Syukriah Syukriah Tsania Asha Fadilah Daulay Veri Ilhadi Wiwik Handayani yuli asbar Yulisda, Desvina Yunia Silfitri Zahratul Fitri Zurhijjah Zurhijjah