Article Per Year (5 Year)
p-Index From 2021 - 2026
2.459
P-Index
This Author published in this journals
All Journal Jurnal Sistem dan Informatika ILKOM Jurnal Ilmiah MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Progresif: Jurnal Ilmiah Komputer Jurnal Teknologi Informasi dan Multimedia JPIn : Jurnal Pendidik Indonesia Jurnal Bumigora Information Technology (BITe) ADMA: Jurnal Pengabdian dan Pemberdayaan Masyarakat MATRIX : JURNAL MANAJEMEN TEKNOLOGI DAN INFORMATIKA Jurnal: International Journal of Engineering and Computer Science Applications (IJECSA) Jurnal Ilmiah Pengabdian dan Inovasi Seminar Ilmiah Nasional Teknologi, Sains, dan Sosial Humaniora (SINTESA) Explore
Mardedi, Lalu Zazuli Azhar
Universitas Bumigora
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Health Professions Languange, Linguistic, Communication & Media Nursing Social Sciences Other

Published : 21 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 21 Documents
Search

 1   2   3 
Determination of the best rule-based analysis results from the comparison of the Fp-Growth, Apriori, and TPQ-Apriori Algorithms for recommendation systems Moch. Syahrir; Lalu Zazuli Azhar Mardedi
Matrix : Jurnal Manajemen Teknologi dan Informatika Vol. 13 No. 2 (2023): Jurnal Manajemen Teknologi dan Informatika
Publisher : Unit Publikasi Ilmiah, P3M, Politeknik Negeri Bali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31940/matrix.v13i2.52-67

Abstract

The popular association rule algorithms are Apriori and fp-growth; both of these algorithms are very familiar among data mining researchers; however, there are some weaknesses found in the association rule algorithm, including long dataset scans in the process of finding the frequency of the item set, using large memory, and the resulting rules being sometimes less than optimal. In this study, the authors made a comparison of the fp-growth, Apriori, and TPQ-Apriori algorithms to analyze the rule results of the three algorithms. TPQ- Apriori is an algorithm developed from the Apriori algorithm. For experiments, the Apriori and fp-growth algorithms use RapidMiner and Weka tools, while the TPQ-apriori algorithm uses self-built application programs. The dataset used is the sales data for the Kopegtel NTB department store, which has been uploaded on the Kaggle site. As for the results of testing the base rules from the overall results of testing the rules with the good Kopegtel dataset for 100%, 50%, and 25% of the total volume of the dataset, a conclusion can be drawn that the larger the dataset to be processed, the results will be more optimal when using the fp-growth algorithm RapidMiner, but not optimal if the dataset to be processed is small. It is different from using the Apriori and Weka FP-growth algorithms, where the resulting rules are less than optimal if the dataset used is large and optimal if the dataset is small. Several rules do not appear in the fp-growth and Apriori Weka algorithms because the two algorithms do not have a tolerance value in Weka's tools for the support of the rules that will be displayed. Meanwhile, the TPQ- Apriori algorithm that has been developed is capable of producing optimal rules for both large datasets and small datasets.
Analisis Perbandingan Algoritma Fp-Growth Dan Tpq-Apriori Dalam Menentukan Rule Based Terbaik Untuk Sistem Rekomendasi Produk Lalu Zazuli Azhar Mardedi Zazuli; Kartarina Kartarina; Moch. Syahrir Syahrir
Explore Vol 14 No 2 (2024): Juli 2024
Publisher : Universitas Teknologi Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35200/ex.v14i2.112

Abstract

The popular association rule algorithms are a priori and fp-growth, these two algorithms are very familiar among data mining researchers, however there are several weaknesses found in the association rule algorithm, including scanning the dataset for a long time in the process of searching for itemset frequencies, the use of large memory and the resulting base rules are sometimes less than optimal. In this research, the author compared the fp-growth and TPQ-apriori algorithms to analyze the base rule results of the two algorithms. TPQ-Apriori is an algorithm resulting from the development of the apriori algorithm, where the performance of the TPQ-Apriori algorithm is better than the traditional apriori algorithm in terms of the dataset scanning process in searching for itemset frequencies. For experiments, the fp-growth algorithm used the rapidminer tool while the TPQ-apriori algorithm used an application program that was built by ourselves. Meanwhile, the dataset used is sales data on CV. Charandita Kusuma NTB which has been uploaded to the Kaggle site. The base rules testing results are from the overall rule testing results with the CV sales dataset. Charandita Kusuma NTB can draw a conclusion that the larger the dataset to be processed, the more optimal the results will be if using the fp-growth rapidminer algorithm, but it is not optimal if the dataset to be processed is a small dataset. Some rules do not appear in the fp-growth algorithm with the rapidminer tool. Meanwhile, the TPQ-Apriori algorithm that has been developed is able to produce optimal rules for both large datasets and small datasets.
Peningkatan Kinerja Metode Random Forest Berbasis Smote-Tomek Link Pada Sentimen Analisis Pariwisata Lombok Marzuki, Khairan; Rady Putra, Lalu Ganda; Hairani, Hairani; Mardedi, Lalu Zazuli Azhar; Guterres, Juvinal Ximenes
Jurnal Bumigora Information Technology (BITe) Vol 5 No 2 (2023)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/bite.v5i2.3166

Abstract

Background: Tourists visiting Lombok Island can access various sources of tourist information and can share their views and tourist experiences through social media such as positive and negative experiences. Objective: This research aims to analyze the sentiment of Lombok tourism reviews using the Smote-Tomek Link and Random Forest algorithms.Methods: The research was carried out in several stages, namely collecting the Lombok tourism dataset, text preprocessing, text weighting using the Term Frequency-Inverse Document Frequency (TF-IDF) method, data sampling using SMOTE-Tomek Link, text classification using Random Forest, and the final stage was performance testing based on accuracy. Result: The research results obtained using the Smote-Tomek Link and Random Forest methods in sentiment analysis analysis of tourist reviews about Lombok were 94%. Conclusion: The use of the Smote-Tomek Link and Random Forest methods in Lombok tourism sentiment analysis produces very good accuracy.
Sosialisasi Peran Penggunaan Management Learning System sebagai Platform Pembelajaran Daring untuk Mendukung Pembelajaran Mandiri Aprianto, Dedi; Mardedi, Lalu Zazuli Azhar; Sutarman, Sutarman; Hendri, Wira; Hairani, Hairani; Innuddin, Muhammad; Rahmawati, Lela
ADMA : Jurnal Pengabdian dan Pemberdayaan Masyarakat Vol 5 No 2 (2025): ADMA: Jurnal Pengabdian dan Pemberdayaan Masyarakat
Publisher : LPPM Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/adma.v5i2.4569

Abstract

keterbatasan kesadaran mahasiswa tentang optimalisasi penggunaan MLS sebagai media yang dapat menunjang belajar mandiri meskipun telah diterapkan sebagai media belajar komplementer, tetapi belum sepenuhnya efektif. Sehingga hal ini mengurangi potensi maksimal dalam mendukung proses belajar mereka. Kegiatan Pengabdian kepada Masyarakat (PkM) ini bertujuan untuk meningkatkan pemahaman dan kesadaran mahasiswa mengenai penggunaan Management Learning System (MLS) dalam mendukung pembelajaran mandiri. Isu yang diangkat adalah rendahnya kesadaran mahasiswa tentang MLS, yang berdampak pada efektivitas pembelajaran daring guna meningkatkan pembelajaran mandiri. Untuk mencapai tujuan tersebut, metode yang digunakan, yaitu sosialisasi; ceramah, diskusi, tanya-jawab, dan demonstrasi langsung. Kegiatan ini terdiri dari tiga tahapan: persiapan, pelaksanaan, dan evaluasi. Hasil kegiatan PkM ini menunjukkan bahwa bahwa (85%) peserta merasa lebih memahami cara menggunakan MLS setelah pelatihan, dan (78%) merasa siap untuk menerapkan MLS dalam pembelajaran mandiri. Selain itu, (90%) peserta menyatakan bahwa kegiatan ini bermanfaat bagi mereka. Kesimpulan kegiatann ini menunjukkan keberhasilan dalam memperkuat pemahaman mahasiswa tentang penggunaan MLS, sekaligus mendukung peningkatan pembelajaran mandiri dalam konteks pembelajaran daring.
Media Pembelajaran Interaktif Pengenalan Jenis - Jenis Ikan Berbasis Augmented Reality Madani, Miftahul; Kartarina, Kartarina; Fadli, M. Najmul; Setiawan, Pandu Dwi; Nasri, Muhammad Haris; Azhar Mardedi, Lalu Zazuli
Progresif: Jurnal Ilmiah Komputer Vol 19, No 2: Agustus 2023
Publisher : STMIK Banjarbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35889/progresif.v19i2.1338

Abstract

Augmented Reality is a virtual object capable of conveying information so that it can assist humans in carrying out their daily work. The teaching and learning process carried out in grade 3, especially for the material on theme 1, sub-theme 3, learning 3 regarding the types of fish and their characteristics, has limitations, and the teacher has difficulty if he has to present various kinds of fish directly. This study aims to apply an interactive learning media for the introduction of fish species based on Augmented Reality at SDN 1 Mataram. The methodology used is the ADDIE method which consists of 5 stages, namely analysis, design, development, implementation, and evaluation. The results achieved are interactive learning media applications for the introduction of types of fish using Augmented Reality which can be run on an Android smartphone. The conclusion of this study is that the application of interactive learning media applications for the introduction of fish species based on Augmented Reality for grade 3 students at SDN 1 Mataram can help students obtain a wider variety of fish and more complete information. The test results are using a Likert scale with a value of 33.46 which is in the Strongly Agree category.Keywords: Learning Media; Fish Type; Augmented Reality; Androids AbstrakAugmented Reality adalah objek virtual yang mampu menyampaikan informasi sehingga dapat membantu manusia dalam melakukan pekerjaannya sehari-hari. Proses belajar mengajar yang dilakukan pada kelas 3 khususya untuk materi tema 1 subtema 3 pembelajaran 3 mengenai jenis-jenis ikan dan cirinya memiliki keterbatasan, serta pengajar mengalami kesulitan jika harus menghadirkan macam-macam ikan secara langsung. Penelitian ini bertujuan untuk menerapkan media pembelajaran interaktif pengenalan jenis-jenis ikan berbasis Augmented Reality pada SDN 1 Mataram. Metodologi yang digunakan yaitu metode ADDIE yang terdiri dari 5 tahapan yaitu analysis, design, development, implementation, dan evaluation. Hasil yang dicapai yaitu aplikasi media pembelajaran interaktif pengenalan jenis-jenis ikan menggunakan Augmented Reality yang dapat dijalankan pada smartphone android. Kesimpulan dari penelitian ini adalah penerapan aplikasi media pembelajaran interaktif pengenalan jenis-jenis ikan berbasis Augmented Reality untuk siswa kelas 3 SDN 1 Mataram dapat membantu siswa memperoleh ragam ikan yang lebih banyak dan informasi yang lebih lengkap. Hasil pengujian dengan mengugunakan skala likert dengan nilai 33.46 yang berada pada kategori Sangat Setuju.Kata kunci: Media Pembelajaran; Jenis Ikan; Augmented Reality; Android
Sosialisasi Model Pengembangan Kurikulum Bahasa Inggris Berbasis Kearifan Lokal di SMK Dedi Aprianto; Lalu Zazuli Azhar Mardedi; Haryono; Sasih Gunalan; I Nyoman Miyarta Yasa
Jurnal Ilmiah Pengabdian dan Inovasi Vol. 1 No. 4 (2023): Jurnal Ilmiah Pengabdian dan Inovasi (Juni)
Publisher : Insan Kreasi Media

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57248/jilpi.v1i4.151

Abstract

This community service program was aimed at socializing on how local wisdom-based English curriculum development model carried out for the Public Vocational High School English teachers. Curriculum design by integrating local cultural elements into the development of English language teaching materials is an important uniqueness in the development of the vocational students’ local cultural competencies and linguistics aspects. The method of implementing the community service was carried out by providing socialization of the curriculum development model which is carried out using the lecturing model and Focused Group Discussion (FGD). The results suggest the socialization of local wisdom-based English curriculum development activities is positive with a score scale of 3.01-4.0. There are two important elements in curriculum development by considering the students’ needs, namely elements of local cultural knowledge and linguistic knowledge. There are three requirements in a curriculum development, namely noticing at the students' needs & necessity, learning needs and the patterns of a curriculum design on how to structurally develop.
Rancang Bangun Jaringan Komputer LAN Berdasarkan Perbandingan Kinerja Routing Protokol EIGRP dan Routing Protokol OSPF Lalu Zazuli Azhar Mardedi; Khairan Marzuki
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol. 18 No. 2 (2019)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/matrik.v18i2.372

Abstract

Nowadays computer networks are growing rapidly and internet usage is increasing everyday. The need to design an internet network cannot be separated from the routing protocol which functions to integrate all computers with the highest flexibility. Routing is one part that provides effective performance in the network. In comparing the performance of EIGRP and OSPF routing protocols, the implementation of EIGRP and OSPF must be implemented when building a network, so administrators easily know the difference in the performance values of the two routing protocols. The discussion in this study is to compare the performance of the EIGRP routing protocol and OSPF routing protocol that is on the network using the hybird topology. Overcoming problems with high-scale network access, we will analyze and compare performance between EIGRP routing protocol and OSPF routing protocol. In obtaining the value and to verify the results of the implementation, the simulation software uses a Packet Tracer simulator.
Network MEMBANGUN JARINGAN KOMPUTER LAN BERDASARKAN PERBANDINGAN KINERJA PROTOKOL ENHANCED INTERIOR GATEWAY ROUTING PROTOCOL (EIGRP) DENGAN PROTOKOL OPEN SHORTEST PATH FIRST (OSPF): MEMBANGUN JARINGAN KOMPUTER LAN BERDASARKAN PERBANDINGAN KINERJA PROTOKOL ENHANCED INTERIOR GATEWAY ROUTING PROTOCOL (EIGRP) DENGAN PROTOKOL OPEN SHORTEST PATH FIRST (OSPF) Lalu Zazuli Azhar Mardedi; Khairan Marzuki
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol. 18 No. 2 (2019)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/matrik.v18i2.327

Abstract

Salah satu teknologi sistem jaringan komputer yang sedang berkembang pesat saat ini adalah internet. Untuk membangun jaringan internet dibutuhkan suatu mekanisme routing yang digunakan untuk mengintegrasikan seluruh komputer dengan tingkat fleksibilitas yang tinggi. Routing merupakan bagian utama dalam memberikan suatu performansi dalam jaringan. Dengan banyaknya routing protocol yang ada, administrator jaringan membutuhkan referensi perbandingan mengenai kinerja dari masing-masing jenis routing protocol tersebut. Salah satu routing tersebut adalah Enhanced Interior Gateway Routing Protocol (EIGRP) dan Open Shortest Path First (OSPF). Pada paper ini akan dibahas mengenai kinerja dari kedua routing protocol tersebut pada jaringan dengan topologi hybird. Untuk mengatasi permasalahan pada akses jaringan dengan jumlah client (end user) yang berskala tinggi maka akan dilakukan analisis dan perbandingan kinerja antara Enhanced Interior Gateway Routing Protocol (EIGRP) dengan Open Shortest Path First (OSPF). Simulasi perangkat lunak Cisco Packet Tracer 6.0.1 digunakan untuk mendapatkan nilai dan untuk memverifikasi hasil pelaksanaannya.
Analisa Kinerja System Gluster FS pada Proxmox VE untuk Menyediakan High Availability Lalu Zazuli Azhar Mardedi; Ariyanto Ariyanto
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol. 19 No. 1 (2019)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/matrik.v19i1.473

Abstract

Virtualization is used as a means to improve the scalability of existing hardware. Proxmox Virtual Environment (PVE) with hypervisor type based on open source. PVE can use Network Attached Storage as a network-based storage location in GlusterFS storage, which is a distributed file system. The research methodology uses Network Development Live Cycle (NDLC) which has 3 (three) stages, namely analysis, design, and simulation prototyping. The analysis phase is carried out by collecting data by means of literature study and data analysis. The design phase is carried out making the design of network systems and trials. At the simulation stage prototyping tests various scenarios and analyzes Read, Write and Re-Write tests. The system in PVE is integrated with GlusterFS storage made using two servers including the PVE 1 and PVE 2 servers. GlusterFS performance results show that the Read file capability is higher compared to Write, and Re-write in the measurement variations of 1mb, 10mb and 100mb files. In conclusion, GlusterFS can be clustered using the same node as PVE Cluster which can use GlusterFS as additional storage for PVE. GlusterFS also supports live migration features so that LXC or VM can do live migration from one node to another in an online state. The ability to write, re-write and read files on GlusterFS is also relatively stable in testing file size variations.
Segmentasi Lokasi Promosi Penerimaan Mahasiswa Baru Menggunakan Metode RFM dan K-Means Clustering Dyah Susilowati; Hairani Hairani; Indah Puji Lestari; Khairan Marzuki; Lalu Zazuli Azhar Mardedi
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol. 21 No. 2 (2022)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/matrik.v21i2.1542

Abstract

Persaingan penerimaan mahasiswa baru antar kampus swasta sangat ketat untuk menarik calon mahasiswa sehingga membutuhkan strategi. Strategi Universitas Bumigora adalah mengirimkan tim promosi ke sekolah-sekolah di pulau Lombok maupun pulau sumbawa. Permasalahan pihak panitia Penerimaan Mahasiswa Baru selama ini adalah tidak melakukan segmentasi sekolah yang menjadi skala prioritas untuk dikunjungi agar efektif dan efisien. Tujuan penelitian ini adalah melakukan segmentasi tingkat potensial sekolah sebagai strategi untuk memilih lokasi promosi penerimaan mahasiswa baru Universitas Bumigora menggunakan analisis model RFM dan metode K-means. Tahapan penelitian terdiri dari persiapan data penerimaan mahasiswa baru tahun 2019 dan 2020, pra-pengolahan data, penerapan model Recency (R), Frequency (F), dan Monetary (M)implementasi metode K-means, dan analisa hasil. Hasil penelitian ini adalah terbentuk 3 klaster tingkat potensial sekolah yang dapat dijadikan skala prioritas untuk lokasi promosi penerimaan mahasiswa baru Universitas Bumigora yaitu kurang potensial, potensial, dan sangat potensial. Klaster sangat potensial (C2) terdapat 28 sekolah, klaster potensial (C3) terdapat 90 sekolah, dan klaster kurang potensial (C1) terdapat 152 sekolah.
Co-Authors Apriani Apriani Ariyanto Ariyanto Baiq Chandra Herawati Dedi Aprianto Dyah Susilowati Eria Raudhatul Jannah Fadli, M. Najmul Guntara, Muhammad Gusti Ayu Diah Gita Kartika Santi, I Guterres, Juvinal Ximenes Hairani Hairani HARYONO I Nyoman Miyarta Yasa I Putu Hariyadi Indah Puji Lestari Kartarina, Kartarina Khairan marzuki Lalu Ganda Rady Putra Miftahul Jihad Miftahul Madani Muhammad Haris Nasri Muhammad Idham Kholid Muhammad Innuddin Muhammad Ridho Hansyah Pahrul Irfan Rahmawati, Lela Regina Aprilia Riberu Riska Haerani Sasih Gunalan Setiawan, Pandu Dwi Sunardy Kasim Sutarman Sutarman Syahrir, Moch. Usman Ibnu Affan Wira Hendri