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All Journal ALGORITMA : JURNAL ILMU KOMPUTER DAN INFORMATIKA JiTEKH (Jurnal Ilmiah Teknologi Harapan) Djtechno: Jurnal Teknologi Informasi Prosiding Snastikom
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Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Library & Information Science Mechanical Engineering

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PENERAPAN METODE SMART DALAM PEMILIHAN BIJI KOPI TERBAIK Tuwah Bertona; Ilham Faisal; Divi Handoko
JiTEKH (Jurnal Ilmiah Teknologi Harapan) Vol 8 No 2 (2020): September 2020
Publisher : Universitas Harapan Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35447/jitekh.v8i2.254

Abstract

We can easily find coffee sellers today, both online and offline. Buying coffee in the form of beans will provide several benefits, such as a more durable aroma and usually of a higher quality. But unfortunately, now there are still many coffee buyers who don't know how to choose coffee beans with good quality. Therefore we need a system that can produce recommendations for selecting the best coffee beans based on determined criteria. This study uses the Decision Support System concept using the SMART method. The SMART method is a decision-making method to solve the problem of multi-objective choice among several criteria, so that later it can produce an effective and efficient analysis. Input criteria that become priority in the recommendation for selecting the best coffee beans are live insects (none requirements), foul smelling beans (non-existent requirements), moisture content, non-coffee dung content, defect values, and flavor (aroma). Of the 10 alternatives tested on this system, there were 5 types of coffee with a “Highly Recommended” rating, 2 types of coffee with a “Recommended” rating, and 3 types of coffee with a “Considered” rating
Perancangan Otomatisasi Pemberi Pakan Ikan dan Pemantauan Kondisi Air Via Sms Gateway Berbasis Mikrokontroler Arduino Uno Bagas Putra Sundana; Arnes Sembiring; Divi Handoko
ALGORITMA : JURNAL ILMU KOMPUTER DAN INFORMATIKA Vol 5, No 1 (2021): April 2021
Publisher : UIN Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30829/algoritma.v5i1.9084

Abstract

Memelihara ikan hias di masyarakat sudah menjadi hobi sejak jaman dahulu hingga saat ini. Dalam kegiatan memelihara ikan hias ada beberapa hal yang penting dalam pemeliharaannya yaitu pemberian pakan ikan dan pengontrol terhadap kualitas air seperti kejernihan air karena unsur-unsur tersebut penting bagi pertumbuhan dan kehidupan ikan. Namun masalah muncul saat penghobi tidak berada dirumah dan tidak bisa merawat ikan peliharaan secara langsung terutama memberi makan. Untuk mengatasi masalah tersebut alat pemberian pakan ikan dan pemantauan kondisi air otomatis sangat diperlukan. Pada rangkaian alat pemberi pakan ikan dan pemantauan kondisi air otomatis menggunakan motor servo yang akan menjadi pembuka dan penutup katup pakan ikan, dan Modul GSM yang akan menjadi jembatan ke Arduino sebagai penerima dan pengirim sms, kemudian LCD yang akan menampilkan hasil data kekeruhan air. Program dirancang agar bisa memberi pakan ikan banyak, memberi pakan ikan sedikit, dan khusus mengetahui kondisi air melalui SMS. Berdasarkan penelitian yang telah dilakukan sistem pemberi pakan ikan dan pemantauan kondisi air otomatis via SMS gateway menggunakan Arduino Uno dapat bekerja dengan baik dimana pakan ikan akan akan keluar secara otomatis apabila pengguna mengirimkan pesan via SMS sesuai dengan nomor SIM card yang ada di sistem (Modul GSM).
Game Edukasi Asmaul Husna Berbasis Android Untuk Pelajar Aji Suditomo; Divi Handoko
ALGORITMA : JURNAL ILMU KOMPUTER DAN INFORMATIKA Vol 5, No 2 (2021): November 2021
Publisher : UIN Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30829/algoritma.v5i2.10262

Abstract

Seiring berkembangnya zaman, Game pada saat ini sangat berkembang dengan cepat. Banyak anak muda sekarang yang sering bermain sampai lupa akan waktu dan lupa untuk belajar sehingga meningkatnya rasa malas pada anak muda sekarang. Game Edukasi Asmaul Husna ini dirancang menggunakan software adobe animate 2019 yang dimulai dengan membuat storyboard untuk mengetahui apakah game sesuai dengan yang diinginkan. Game Edukasi Asmaul Husna ini ditujukan kepada pelajar dan anak-anak agar dapat belajar sambil bermain. Hasil dari game  ini berupa materi, dan soal-soal yang dilengkapi dengan music dan suara dari setiap objek. Game Edukasi ini sebagai media pembelajaran untuk pelajar dan anak-anak agar mereka dapat lebih senang dalam menghafal asmaul husna.Kata Kunci : Game, Asmaul Husna, Adobe Animate  Along with the development of the times, the game at this time is growing very quickly. In this era so that Many young people often play until they forgot the time and forgot to study so that young people get feel lazy today. This Asmaul Husna Educational Game was designed using adobe animate 2019 software, which started by creating a storyboard to find out whether the game was as desired. This Asmaul Husna Educational Game is aimed at students and children so they can learn while playing. The results of this game are in the form of materials, and questions that are equipped with music and sounds from each object. This Educational Game is a learning medium for students and children so that they can be happier in memorizing Asmaul Husna.Keywords: Game, Asmaul Husna, Adobe Animate
Sistem Pendukung Keputusan Metode Electree Dalam Pemilihan Dosen Terbaik Pembelajaran Pada Fakultas Teknik Dan komputer Yunita Sari Siregar; Herlina Harahap; Boni Oktaviana Sembiring; Nenna Irsa Syahputri; Divi Handoko
ALGORITMA : JURNAL ILMU KOMPUTER DAN INFORMATIKA Vol 6, No 1 (2022): April 2022
Publisher : UIN Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30829/algoritma.v6i1.12656

Abstract

Lecturers are professional educators who have a role to develop, transform and disseminate knowledge in higher education. At the Faculty of Engineering and Computers, the process of selecting the best lecturers in learning for students in the class will be carried out with the assessment criteria being discipline, material, attitudes and learning techniques. The method used is a decision support system, the Electre method. Electree is a method that produces a ranking in which several steps are performed, namely normalizing the decision matrix, weighting the matrix, determining the concordance and discordance set, calculating the concordance and discordance matrices, determining the dominant matrix, determining the aggregate dominant matrix and alternative elimination. Based on the results of tests that have been carried out using the electree method, the 10 best lecturers' test data resulted in an accuracy value of 60% and the 3 highest ranking scores for lecturer 7, lecturer 5 and lecturer 1. Keywords:   Decision Support System, Electre, Lecturer, Learning, Faculty of Engineering and  Computers
Virtual Reality Pembelajaran Bahasa Jepang Berbasis Android Tiwi Afriani Hasman; Tommy; Divi Handoko
SNASTIKOM Vol. 1 No. 01 (2022): SEMINAR NASIONAL TEKNOLOGI INFORMASI & KOMUNIKASI (SNASTIKOM) 2022
Publisher : Unit Pengelola Jurnal Universitas Harapan Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The rapid development of technology makes information media now switch to virtual reality. Virtual reality is atechnology that allows users to interact with a computer simulated environment. The Japanese language itself hasa different accent and its own uniqueness. The advantages of this virtual reality technology will help Androidbasedsmartphoneuserstobeabletodevelopapplicationswithvirtualrealitytechnology,especiallyinlearning Japanese. With this application, it will overcome the time constraints in learning Japanese. This study aims toanalyze the application of virtual reality technology in learning Japanese. The results of the research conductedby the author is to produce a Japanese language learning media using virtual reality technology, especially inkatakana and hiragana letters. In addition, this application also features a quiz feature as a benchmark for users'understanding of learning Japanese, as well as a Japanese sentence feature that can train users to apply Japanesein daily activities. Based on the results of research and testing of 20 respondents with the results agreeing anaverage of 78%, doubting 18% and disagreeing 4%, it can be concluded that the resulting application still needsdevelopment on its features and the system that has been made to be more effective used by users, as well asadjustments to educational needs.
PEMANFAATAN SERVER - SIDE DALAM MENDUKUNG PERCEPATAN LOADING HALAMAN PADA APLIKASI PENGAJUAN DANA DESA Syafrieawan Sulistyo; Ummul Khair; Divi Handoko
Djtechno: Jurnal Teknologi Informasi Vol 3, No 2 (2022): Desember
Publisher : Universitas Dharmawangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46576/djtechno.v3i2.2737

Abstract

Desa Naga Timbul merupakan desa yang terletak di kecamatan Tanjung Morawa Kabupaten Deli Serdang, selama ini dalam mengajukan dana desa masih menggunakan manual yaitu dengan menggunakan excel kemudian di print lalu dokumen tersebut diserahkan kepada pihak kepala daerah. Dari cara kerja yang sudah dijelaskan kinerja yang dilakukan pihak desa kurang efektif, dikarenakan zaman yang sudah maju seperti sekarang pihak desa naga timbul belum memiliki suatu sistem dalam pengajuan dana desa. Untuk itu penulis membangun aplikasi pengajuan dana desa dengan memanfaatkan serverside dalam mempercepat proses loading halaman Dana Desa diartikan sebagai dana yang berasal dari anggaran pendapatan  dan belanja negara ( APBN ) yang diperuntukkan bagi Desa akan di salurkan melalui anggaran pendapatan dan belanja daerah kabupaten / kota dan dana tersbut nantinya akan digunakan untuk membiayai penyelenggaraan pemerintahan, pelaksanaan pembangunan, pembinaan kemasyarakatan, dan  pemberdayaan masyarakat pada desa tersebut tujuan dari penelitian ini yaitu Untuk menerapkan Server – Side sebagai media untuk mempercepat halaman pada aplikasi pengajuan dana desa dan didapatkan hasilnya penerapan server side berhasil di terapkan pada aplikasi yang menghasilkan percepatan proses data yang cukup banyak
Penerapan Metode Mabac Dalam Menentukan Kopi Terlaris Berdasarkan Tingkat Harga Pada Perusahaan Kopi Kenangan Aprizal Hidayat; Dodi Siregar; Divi Handoko
Algoritma: Jurnal Ilmu Komputer dan Informatika Vol 7, No 1 (2023): April 2023
Publisher : Universitas Islam Negeri Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30829/algoritma.v7i1.15368

Abstract

Kopi Kenangan is a coffee beverage company founded in Indonesia in 2017 by Edward Tirtanata, James Prananto and Cynthia Chaerunnisa. Currently, Kopi Memories has opened as many as 230 outlets throughout Indonesia. Various menus have been served at Kopi Memories, especially at Kopi Memories, which is located in the city of Medan, so far there are 60 menus available. The number of menus that have been presented, sometimes people who just want to buy memories coffee products are still confused in choosing the best-selling memory coffee products in their coffee products, plus there is no system in determining the best-selling coffee for memories coffee. Departing from the problems above, the author is interested in making a decision support system in determining the best-selling coffee products based on price and sales levels. The decision support system itself is a system that is able to provide both problem-solving abilities and the ability to solve semi-structured problems. The decision system method used is the MABAC method which is a multi-criteria comparison method. This method was chosen because, service companies with other methods of multi-criteria decision making and this study resulted in the memory of Thai tea coffee products succeeded in producing the best products with a calculation value of 0.331616 Keywords: Mabac, Memories Coffee, Decision Support System
Co-Authors Aji Suditomo Aprizal Hidayat Arnes Sembiring Bagas Putra Sundana Boni Oktaviana Sembiring Dodi Siregar Harahap, Herlina Ilham Faisal Siregar, Yunita Sari Syafrieawan Sulistyo Syahputri, Nenna Irsa Tiwi Afriani Hasman Tommy Tuwah Bertona Ummul Khair