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All Journal KLIK (Kumpulan jurnaL Ilmu Komputer) (e-Journal) Jurnal Komputasi Jurnal Pepadun Jurnal Komputasi
Machudor Yusman
Universitas Lampung
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering

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Rancang Bangun Aplikasi Penyelaras Nada Gitar pada Platform Android Machudor Yusman; yuda teja elanda ali
Jurnal Komputasi Vol. 2 No. 1 (2014)
Publisher : Jurusan Ilmu Komputer Fakultas MIPA Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/komputasi.v2i1.1001

Abstract

 ABSTRAK  RANCANG BANGUN APLIKASI PENYELARAS NADA GITARPADA PLATFORM ANDROID OlehYuda Teja Elanda Ali  Musik merupakan suatu kesenian yang sangat indah dan tidak dapat dilepaskan dari kehidupan manusia, karena dengan bermain musik pemain dapat mencurahkan segala perasaan dan emosi yang sedang dirasakan dalam sebuah bentuk karya atau komposisi yang dapat dinikmati sendiri maupun dinikmati oleh orang lain. Setiap alat musik memiliki ciri musiknya sendiri yang menjadi ciri khas. Gitar adalah salah satu alat musik yang sering dipakai pada semua aliran musik.Pada penelitian ini dikembangkan sistem rancang bangun aplikasi penyelaras nada gitar pada platform android. Sistem ini dibuat dengan menggunakan bahasa pemrograman Java dengan IDE eclipse untuk Java yang disertai plugin android di dalamnya dan hanya diperuntukkan bagi perangkat atau smartphone android 4.0 ICS (Ice Cream Sandwich) ke atas sehingga dapat membantu menyelaraskan nada pada gitar bagi para pengguna gitar.Kata kunci  : Android, Gitar, IDE eclipse, Java.
APLIKASI MOBILE STUDENT ASSISTANT MAHASISWA ILMU KOMPUTER FMIPA UNIVERSITAS LAMPUNG BERBASIS ANDROID Machudor Yusman; Anie Rose Irawati; bintang ariska
Jurnal Komputasi Vol. 5 No. 1 (2017)
Publisher : Jurusan Ilmu Komputer Fakultas MIPA Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/komputasi.v5i1.1523

Abstract

Students are still often not on time in attending lectures, students also often forget to do the task and prepare for the exam. This has an impact on the achievement value obtained is not maximal. In this research, researchers built a mobile application on Android-based smartphone operating system as a reminder for students Computer Science Faculty of Mathematics and Natural Sciences University of Lampung. This application is made up of two parts Web-based for admin and Android-based for users, connected using Web Service. This application is made to support and maximize lecture activities. The workings of this application is as an alarm reminder to remind students of lecture, tasks, and exam schedules. The test result by using Black-Box equivalence partitioning shows that the application runs in accordance with the requirements.
IMPLEMENTASI ALGORITMA BUBBLE SORT DAN SELECTION SORT MENGGUNAKAN ARRAYLIST MULTIDIMENSI PADA PENGURUTAN DATA MULTI PRIORITAS Roma Rio Sitepu; Machudor Yusman; Febi Eka Febriansyah
Jurnal Komputasi Vol. 5 No. 1 (2017)
Publisher : Jurusan Ilmu Komputer Fakultas MIPA Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/komputasi.v5i1.1484

Abstract

Ordering is a process of sorting data with a certain rule, so it will be arranged regularly in accordance with the rules. Basically, there are two kinds of commonly used sequencing rules: ascending and descending. In sorting data that consists of many criteria, there will be priority criteria on which the data is sorted. Priority criteria are sorted by initial criteria which are the most preferred criteria until the last criterion which is an additional criterion. In this study, researchers developed an algorithm that can help sort data that has many priorities. The algorithm used is Bubble Sort and Selection Sort, developed using multidimensional ArrayList to sort multi-priority data. The test was conducted on five times experiment and the data sorted by descending. The data used consist of four fictitious data and one real data taken from the list of all criteria of PPA 2017 scholarship recipient of MIPA faculty, University of Lampung. From the results of the tests performed, the best solution is found in the Selection Sort algorithm if compared with the Bubble Sort algorithm for multi priotity data sorting.
Sistem Informasi Manajemen Keuangan pada PT. Hulu Balang Mandiri Menggunakan Framework Laravel Bambang Hermanto; Machudor Yusman; Nagara .
Jurnal Komputasi Vol. 7 No. 1 (2019)
Publisher : Jurusan Ilmu Komputer Fakultas MIPA Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/komputasi.v7i1.2051

Abstract

The rapid development of technology forces us to learn and adapt, especially in the field of information technology. Information technology makes information spread very fast and accurate. This makes information technology a very important role in the company's growth for various sector, especially financial information. On the other side, manual work that related to numbers have very big risk of miscalculations from the employees (human error) and takes a relatively longer time. With the development of the Financial Management Web Based Information System, it is expected to help companies manage their financial reports and make decisions based on financial data.This research has successfully developed Financial Management Web Based Information System by implementing the Laravel framework. The conclusion of this research is the Financial Management Web Based Information System by implementing the Laravel Framework successfully built in accordance with the agreed design, proved by the results of the test as appropriate as had been expected.
Pengembangan Sistem Rekruitmen Karyawan Perusahaan Mitra UPT Kewirausahaan Dan Pengembangan Karir Universitas Lampung Destian ade anggi Sukma; Machudor Yusman; Favorisen Lumbanraja; Rico Andrian
Jurnal Komputasi Vol. 8 No. 1 (2020)
Publisher : Jurusan Ilmu Komputer Fakultas MIPA Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/komputasi.v8i1.2331

Abstract

Recruitment is the process of finding and the best-qualified candidate work in a company or agency. There are various recruitment methods such as via employee recommendations, university collaboration, job vacancy, and jobsfair. In this paper an online company employee recruitment will be made using the black box testing method with the Equivalence Partitioning technique and the Likert scale. The data is taken from company users and job seekers. System displays job vacancies in accordance with the minimum level of education, gender and applicant's GPA. Job seekers fill out the Curriculum Vitae (CV) on the system as a company assessment for acceptance of applicants.The system can also provide announcements for applicants who have successfully passed a company. The system has been tested with black box testing with technique Equivalence Partitioning and get valid results for each test case, and for testing using a Likert scale gets very good results with a value of 87.05%.
Klasifikasi Image Tumbuhan Obat (Keji Beling) Menggunakan Artificial Neural Network Rizky Prabowo; Yunda Heningtyas; machudor Yusman; Muhammad Iqbal; Ossy Dwi Endah Wulansari
Jurnal Komputasi Vol. 9 No. 2 (2021)
Publisher : Jurusan Ilmu Komputer Fakultas MIPA Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/komputasi.v9i2.2868

Abstract

Indonesia sebagai salah satu negara tropis memiliki potensi hayati yang sangat besar. Salah satu potensi yang banyak dimiliki di Indonesia adalah tumbuhan obat. Salah satu cara mengenali jenis tumbuhan obat yaitu melalui bentuk fisik daun. Implementasi teknologi yang saat ini banyak berkembang, maka masyarakat akan banyak terbantu dalam mengenali tumbuhan obat disekitarnya. Gambar atau citra daun tanaman obat digunakan sebagai data yang mewakili jenis tumbuhan obat tertentu. Data yang digunakan merupakan data yang telah diberikan perlakuan khusus dalam pengambilan gambar atau citra. Praprosesing dilakukan pada data yang didapat sebagai langkah awal pemrosesan data. Pada penelitian ini, data yang digunakan merupakan data primer dengan total 2000 data. Data yang digunakan dibagi menjadi 1800 data latih, 160 data validasi dan 200 data testing. Data training digunakan untuk membentuk pola model. Model selanjutnya di validasi dengan menggunakan data validasi. Model dibangun menggunakan Convulution Neural Network yang merupakan varian dari Artificial Neural Network. Hasil akurasi penelitian 82.5% dengan kecepatan pembangunan model dengan 10 epoch adalah 139 second per epoch.
SISTEM IDENTIFKASI PENYAKIT TANAMAN CABAI MENGGUNAKAN METODE SIMPLE ADDITIVE WEIGHTING (SAW) BERBASIS ANDROID Hendire S B; Machudor Yusman
Jurnal Komputasi Vol. 9 No. 1 (2021)
Publisher : Jurusan Ilmu Komputer Fakultas MIPA Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/komputasi.v9i1.2421

Abstract

Chili is an important commodity in Indoneisa’s economy. The fluctuating price  causes chili to contribute to inflation for national economy. Chili’s price could increase because of demand in high level and production of chili in low level. The emergence of disease causes production of chili decreas. To solve the problem in chili disease, the disease needs to be diagnose as soon as possible. To diagnose the disease as soon as possible there is a need of chili expert system using android. Chili’s disease will be indentificated by inputting the symptoms which are shown by the plan. Expert system of chili plant disease identification design is based Android. Android Mobile is used as a device to insert the symptoms which are shown by the plant. The system will manage the symptoms that have been selected and show the diagnoses of the disease and how to control the disease. This system was designed using the Simple Additive Weighting (SAW) method and tested using Blackbox method. Testing using Blackbox method to show the system is able to identify the diseases of chili plant
Co-Authors Admi Syarif Akmal Junaidi Aldo Pradipta Andrian, Rico Ari Ardianto Bambang Hermanto bintang ariska Destian ade anggi Sukma Febi Eka Febriansyah Hendire S B Heningtyas, Yunda Irawati, Anie Rose Lumbanraja, Favorisen R Muhammad Iqbal Nagara . Ossy Dwi Endah Wulansari Prabowo, Rizky Rizky Ramadhany Roma Rio Sitepu Shofiana, Dewi Asiah Triana Triana yuda teja elanda ali