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All Journal Register: Jurnal Ilmiah Teknologi Sistem Informasi KLIK (Kumpulan jurnaL Ilmu Komputer) (e-Journal) Jurnal Komputasi Indonesian Journal of Artificial Intelligence and Data Mining InComTech: Jurnal Telekomunikasi dan Komputer JOURNAL OF APPLIED INFORMATICS AND COMPUTING Jurnal Teknoinfo jurnal teknik informatika dan sistem informasi Indonesian Journal of Social and Environmental Issues (IJSEI) Jurnal Pengabdian Kepada Masyarakat (JPKM) Tabikpun Jurnal Pepadun Malcom: Indonesian Journal of Machine Learning and Computer Science
Andrian, Rico
Ilmu Komputer FMIPA Unila
Agriculture, Biological Sciences & Forestry Humanities Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Law, Crime, Criminology & Criminal Justice Social Sciences

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SISTEM INVENTORY JURUSAN ILMU KOMPUTER di UNIVERSITAS LAMPUNG Kurniawan, Didik; Andrian, Rico; Utami, Noera Yudhiarti
Jurnal Komputasi Vol 2, No 2 (2014)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/komputasi.v2i2.1094

Abstract

Sistem inventory merupakan suatu kegiatan pengolahan data barang pada suatu ruangan. Sistem Inventory berperan penting bagi suatu instansi dalam pengolahan data inventaris untuk mengoptimalkan pengawasan pada keuangan Negara. Sistem pengolahan data inventaris di berbagai instansi masih mengunakan Microsoft Excel sehingga data belum terarsip secara optimal. Pengolahan data tersebut dapat dipermudah dengan mengembangkan Sistem inventory dengan menggunakan metode Neuro-Dynamic untuk menghindari adanya overdemand dan oversupply. Metode pengembangan sistem yang digunakan adalah metode waterfall. Sistem yang telah dihasilkan yaitu suatu sistem yang memberikan informasi tentang data barang di jurusan Ilmu Komputer di Universitas Lampung. Pengembangan sistem inventory dengan menampilkan beberapa fitur seperti Laman Inventaris, Laman Kebutuhan, Laman Peminjaman, Pengembalian, Laman Kehilangan, Laman Reporting Data Inventaris sebagai pengolahan data inventaris dan telah berjalan dengan baik. Sistem dapat membantu proses kerja staff dalam pengolahan data inventory dan pembuatan laporan inventory kepada pihak jurusan. Sistem inventory ini diimplementasikan dengan menggunakan database MySQL dan bahasa pemrograman PHP. Kata kunci: Sistem Inventory, Metode Neuro-Dynamic, PHP
ANALISIS PERBANDINGAN ALGORITMA ASIMETRIS ELGAMAL DAN MASSEY-OMURA DALAM ENKRIPSI DAN DEKRIPSI DATA Wijaya, Ahmad Adi; Wamiliana, Wamiliana; Andrian, Rico
Jurnal Komputasi Vol 4, No 1 (2016)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/komputasi.v4i1.1154

Abstract

Information can be kept secure by an encryption process in cryptograpy technigue. In this research we discussed comparative analysis of asymmetric algorithms ElGamal and Massey-Omura in terms of their complexities, time, and speed performances. The testing was conducted using 30 data with size  varies between 66 bytes and 2000 bytes. Thirty data were tested 50 times. The result shows that Elgamal Algorithm is faster in encryption and decryption compared to Massey-Omura Algorithm and the complexity of both algorithms are linear algorithms (O (n)).
Butterfly identification using gray level co-occurrence matrix (glcm) extraction feature and k-nearest neighbor (knn) classification Andrian, Rico; Maharani, Devi; Muhammad, Meizano Ardhi; Junaidi, Akmal
Register: Jurnal Ilmiah Teknologi Sistem Informasi Vol 6, No 1 (2020): January-June (Articles in press 2/7)
Publisher : Information Systems - Universitas Pesantren Tinggi Darul Ulum

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (2987.634 KB) | DOI: 10.26594/register.v6i1.1602

Abstract

Gita Persada Butterfly Park is the only breeding of engineered in situ butterflies in Indonesia. It is located in Lampung and has approximately 211 species of breeding butterflies. Each species of Butterflies has a different texture on its wings. The Limited ability of the human eye to distinguishing typical textures on butterfly species is the reason for conducting a research on butterfly identification based on pattern recognition. The dataset consists of 600 images of butterfly?s upper wing from six species: Centhosia penthesilea, Papilio memnon, Papilio nephelus, Pachliopta aristolochiae, Papilio peranthus and Troides helena. The pre-processing stage is conducted using scaling, segmentation and grayscale methods. The GLCM method is used to recognize the characteristics of butterfly images using pixel distance  and Angular direction 0o, 45o, 90o and 135o. The features used is angular second moment, contrast, homogeneity and correlation. KNN classification method in this study uses k values1, 3, 5, 7, 9, 11, 13, 15, 17, 19, 21 and 23 based on the Rule of Thumb. The result of this study indicate that Centhosia penthesilea and Papilio nephelus classes can be classified properly compared to the other 4 classes and require a classification time of 2 seconds at each angular orientation. The highest accuracy is 91.1% with a value of  in the angle of 90o and error rate8.9%. Classification error occured because the value of the test data features is more dominant with the value of the training image features in different classes than the supposed class.  Another reason is because of imperfect test data.
Butterfly identification using gray level co-occurrence matrix (glcm) extraction feature and k-nearest neighbor (knn) classification Andrian, Rico; Maharani, Devi; Muhammad, Meizano Ardhi; Junaidi, Akmal
Register: Jurnal Ilmiah Teknologi Sistem Informasi Vol 6, No 1 (2020): January
Publisher : Information Systems - Universitas Pesantren Tinggi Darul Ulum

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26594/register.v6i1.1602

Abstract

Gita Persada Butterfly Park is the only breeding of engineered in situ butterflies in Indonesia. It is located in Lampung and has approximately 211 species of breeding butterflies. Each species of Butterflies has a different texture on its wings. The Limited ability of the human eye to distinguishing typical textures on butterfly species is the reason for conducting a research on butterfly identification based on pattern recognition. The dataset consists of 600 images of butterfly’s upper wing from six species: Centhosia penthesilea, Papilio memnon, Papilio nephelus, Pachliopta aristolochiae, Papilio peranthus and Troides helena. The pre-processing stage is conducted using scaling, segmentation and grayscale methods. The GLCM method is used to recognize the characteristics of butterfly images using pixel distance  and Angular direction 0o, 45o, 90o and 135o. The features used is angular second moment, contrast, homogeneity and correlation. KNN classification method in this study uses k values1, 3, 5, 7, 9, 11, 13, 15, 17, 19, 21 and 23 based on the Rule of Thumb. The result of this study indicate that Centhosia penthesilea and Papilio nephelus classes can be classified properly compared to the other 4 classes and require a classification time of 2 seconds at each angular orientation. The highest accuracy is 91.1% with a value of  in the angle of 90o and error rate8.9%. Classification error occured because the value of the test data features is more dominant with the value of the training image features in different classes than the supposed class.  Another reason is because of imperfect test data.
Implementasi Metode Ekstraksi Fitur Gabor Filter dan Probablity Neural Network (PNN) untuk Identifikasi Kain Tapis Lampung SYARIF, ADMI; TANJUNG, AKBAR RISMAWAN; ANDRIAN, RICO; LUMBANRAJA, FAVORISEN R.
Jurnal Komputasi Vol 8, No 2 (2020)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/komputasi.v8i2.2641

Abstract

Tapis Fabric is a traditional clothing of the people of Lampung in the form of a shawl cloth or a sarong made of woven cotton thread with various motifs and ornaments, silver thread or gold thread by embroidered or punched. The pattern of filter cloth is quite complex, unlike the pattern of fabric in general, with its own uniqueness that has become the culture of Lampung society until now. This filter cloth will be investigated by identifying the three types of filter cloth, namely Sasab, Bintang Perak and Gunung Beradu and see the results of its identification. The method used to identify is by combining the Gabor Filter feature extraction method which has frequency and orientation parameters and Probability Neural Network classification methods. Previously, the combination of these two methods was used to identify objects with simple patterns. The results are quite good, such as detecting faces, leaf patterns, and other simple patterns. This research is expected to get maximum identification results on the filter cloth even though it has a pattern that is not simple and will be used as a research report to determine the suitability of the method used for the filter object.
ANALISIS PERBANDINGAN ALGORITMA SIMETRIS TINY ENCRYPTION ALGORITHM DAN LOKI DALAM ENKRIPSI DAN DEKRIPSI DATA Pradana Marlando; Wamiliana Wamiliana; Rico Andrian
Jurnal Komputasi Vol 4, No 1 (2016)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/komputasi.v4i1.1153

Abstract

Information can be kept secure by an encryption process in cryptography technique. In this research we discussed comparative analysis of symmetric algorithms: Tiny Encryption Algorithm (TEA) and LOKI in terms of their complexity, time and speed performances. The testing was conducted using 30 data with size varies between 50 bytes and 1500 bytes. Thirty data were tested 50 times. The result shows that TEA is faster in encryption and decryption compared to LOKI  and the complexity of both algorithms are linear algorithms (O (n)).
Pengembangan Sistem Ujian Online di Sekolah Didik Kurniawan; Rico Andrian; Lona Ertina
Jurnal Komputasi Vol 2, No 2 (2014)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/komputasi.v2i2.1100

Abstract

Exam is a test or evaluation that goal is to determine one’s ability. Trials conducted in the school who are generally still conventionally which the implementation is using paper and lasting correction process. The correction process can be facilitated by making the online examination system in school. System development method used is the waterfall method. Process method waterfall in the process is done sequentially. System that superbly produced which is a system that can be accessed by three users are administrators, teachers, and students. Development of online  examination system in school to facilitate the teachers in terms of correcting for direct assessment process can get online after the exam is over. This test system is implemented by using database mySql and php programming language.
APLIKASI PENYEDERHANAAN CONTEXT FREE GRAMMAR Rico Andrian; Wamiliana .; Andriyan Hutomo
Jurnal Komputasi Vol 3, No 2 (2015)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/komputasi.v3i2.1133

Abstract

This research is done by making an application to simplify Context Free Grammar (CFG). The process of making the application starts from designing the algorithm using eXtreme Programming method as system development methods until get the application to simplify Context Free Grammar (CFG). The testing method to test the application is Black Box Testing. The result shows that the application can simplify Context Free Grammar smoothly, and how to simplify Context Free Grammar step by step. Context Free Grammar (CFG) simplification has  three stages, eliminating espsilon production, eliminating unit production and eliminating useless production, those three stages must be done sequentially. Keywords: Chomsky Normal Form, Context Free Grammar, Greibach Normal Form, Prototype Method 
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 : 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%.
Penggabungan Dua Koneksi Internet Service Provider Dengan Teknik Load Balancing Menggunakan Metode Equal Cost Multi Path Rico Andrian; Malik Abdul Aziz; Muhammad Iqbal
Jurnal Komputasi Vol 9, No 1 (2021): Komputasi
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/komputasi.v9i1.1905

Abstract

Computer networks turn out to be one of the primary needs in life in this era of the globalization. Computer networks are often used simultaneously at certain times so that it can cause overload of bandwidth on the computer network. Overloaded bandwidth can cause disturbances such as networks that feel slower than usual. This study discusses the merger of two service provider internet connections that is done by load balancing techniques using the equal cost multipath method. The stages that will be carried out are analysis, design, simulation or prototyping, implementation, monitoring, and management. The results of the implementation of the application of load balancing techniques with the equal cost multipath method get an increase in the QoS value which can be seen from the test parameters performed namely the average throughput on all computers has increased 0.17%, the average delay for all computers has a decrease in quality of 0.9 milliseconds, the average jitter of all computers has increased the quality of 0.68 milliseconds, and the average packet loss in all computers experienced a 0.58% quality improvement. The configuration of this study was made easier with the help of the web configuration made.
Co-Authors . Wamiliana Adi Pribadi, Raden Irwan Admi Syarif Agatha Beny Himawan Ahmad Adi Wijaya, Ahmad Adi Akmal Junaidi Ananto Danu Prasetyo Andikha Yunar Cornelius Dabukke Andriyan Hutomo Ardiansyah Ardiansyah Aristoteles, Aristoteles Astria Hijriani Astria Hijriani Astria Hijriani, Astria Ayu Taqiya Ulfa Basir Efendi Dedy Hermawan Dedy Miswar Destian ade anggi Sukma Diah Adi Sriatna Dian Riskiyana Didik Kurniawan Dwi Sakethi Dwi Sakethi Dwi Sakethi Dwi Sakethi Eka Fitri Jayanti Eko Septiawan Faishal Hariz Makaarim Gandadipoera Favorisen R. Lumbanraja Febi Eka Febriansyah Flaurensia Riahta Tarigan Florencia Irena Heningtyas, Yunda Igo Febrianto Indrianti Indrianti Irawati, Anie Rose Ismail Indra Pratama Kristina Ademariana Kurnia Muludi Lisa Suarni Lona Ertina M. Juandhika Rizky Machudor Yusman Maharani, Devi Malik Abdul Azis Malik Abdul Aziz Muhammad Chairuddin Muhammad Iqbal Muhammad Iqbal Muhammad, Meizano Ardhi Muhaqiqin Muhaqiqin Novita Dwilestari Prabowo, Rizky Pradana Marlando Qonitati Qonitati RA Dina Nia Pratiwi Rahman Taufik Rahmat Safe'i Rahmat Safe'i Rahmat Safe’i Reda Meiningtiyas Rika Ningtias Azhari S Susiyani Safitri, Jannati Asri Saipul Anwar Sunita Agustina TANJUNG, AKBAR RISMAWAN Tri Maryono Utami, Noera Yudhiarti Wamiliana Wamiliana Wartariyus Wartariyus Zuhri Nopriyanto