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All Journal Techno.Com: Jurnal Teknologi Informasi JURNAL PENGABDI Matrik : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Jurnal Bumigora Information Technology (BITe) Jurnal Saintekom : Sains, Teknologi, Komputer dan Manajemen MATRIX : JURNAL MANAJEMEN TEKNOLOGI DAN INFORMATIKA Bakti Sekawan : Jurnal Pengabdian Masyarakat
Syahrir, Moch.
Universitas Bumigora
Religion Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Energy Engineering Health Professions Mechanical Engineering Medicine & Pharmacology Social Sciences Other

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Sosialisasi Computational Thingking Pada Guru MTs Yayasan NW Darul Abror Gunung Rajak Lombok Barat Hammad, Rifqi; Latif, Kurniadin Abd; Kartarina, Kartarina; Irfan, Pahrul; Syahrir, Moch.; Anas, Andi Sofyan; Cahyablindar, Ayu; Hidayatullah, M.
Jurnal Pengabdi Vol 4, No 1 (2021): April 2021
Publisher : Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/jplp2km.v4i1.44516

Abstract

Computational thinking merupakan kemampuan intelektual yang digunakan dalam menyusun permasalahan serta solusinya, sehingga solusi yang diberikan dapat digunakan secara efektif oleh agen pemroses informasi baik itu manusia maupun komputer. Pengabdian ini dilakukan dengan tujuan untuk memperkenalkan konsep Computational thingking dan penerapannya di mata pelajaran. Sosialisasi dan pelatihan ini diberikan kepada guru-guru MTs Yayasan NW Darul Abror Gunung Rajak dengan jumlah peserta kurang lebih 52 orang. Pengabdian ini dilaksanakan menjadi 2 sesi yaitu sesi sosialisasi dan evaluasi. Pada bagian sosialisasi guru-guru diberikan materi tentang gambaran, manfaat dan pentingnya computational thinking untuk diterapkan sejak dini. Pada sesi sosialisasi ini juga para guru juga diberikan materi terkait penerapan computational thinking di berbagai macam mata pelajaran seperti matematika, IPA, IPS dan Bahasa. Pada sesi evaluasi, para guru diberikan beberapa pertanyaan untuk mengetahui sejauh mana para guru memahami konsep Computational thinking dan penerapannya dalam mata pelajaran. Berdasarkan hasil evaluasi, didapatkan bawah para guru sudah cukup memahami konsep Computational thinking dan penerapannya di mata pelajaran. Hal ini terlihat pada hasil evaluasi dari kegiatan yang telah dilakukan kepada para guru. Para guru mampu menjawab tentang computational thinking dan dapat membuat contoh penerapan computational thinking pada matapelajaran yang diajarkannya.
Deteksi dan Estimasi Kecepatan Kendaraan dalam Sistem Pengawasan Lalu Lintas Menggunakan Pengolahan Citra Muhammad Zulfikri; Hairani Hairani; Ahmad Ahmad; Kurniadin Abd. Latif; Rifqi Hammad; Moch. Syahrir
Techno.Com Vol 20, No 3 (2021): Agustus 2021
Publisher : LPPM Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33633/tc.v20i3.4588

Abstract

Deteksi objek berbasis pengolahan citra digital pada kendaraan sangat penting untuk diterapkan dalam membangun sistem pengawasan atau sebagai metode alternatif dalam mengumpulkan data statistik untuk pengambilan keputusan rekaya lalu lintas yang efisien. Pada penilitian ini, dibuat sistem deteksi kendaraan berbasis video lalu lintas untuk jenis kendaraan tertentu dengan menggunakan Haar Cascade Classifier dan estimasi kecepatan kendaraan dilakukan dengan menghitung perbedaan waktu pada Region of Interest (ROI) yang telah ditentukan dan hasilnya akan ditampilkan pada Radar Speed Design. Pengujian dilakukan dengan 5 video pengujian. Hasil yang didapatkan dari deteksi kendaraan yaitu nilai rata-rata recall 0.988 dan presisi 0.97 dan dari perhitungan kecepatan didapatkan nilai Mean Squared Error (MSE) yaitu 0,6.
Association Rule Integrasi Pendekatan Metode Custom Hashing dan Data Partitioning untuk Mempercepat Proses Pencarian Frekuensi Item-set pada Algoritma Apriori Moch. Syahrir; Fatimatuzzahra Fatimatuzzahra
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol 20 No 1 (2020)
Publisher : LPPM Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (649.108 KB) | DOI: 10.30812/matrik.v20i1.833

Abstract

Data mining dengan peran asosiasi sudah banyak digunakan oleh dunia usaha, salah satu algoritma yang sering digunakan untuk aturan asosiasi adalah apriori. Namun apriori memiliki kelemahan dalam hal performa, karena pada setiap penentuan frequent k-itemset harus melakukan scan database. Hal ini akan menjadi masalah apabila kandidat k-itemset memiliki dimensi yang banyak. proses scan database yang besar akan memakan waktu yang lama dan berpengaruh pada penggunaan memori dan prosesor. Apriori sudah sering dikembangkan, salah satu yang populer adalah Frequent Pattern (fp-growth), apriori dan fp-growth sama-sama merupakan algoritma untuk aturan asosiasi, hanya saja fp-growth menggunakan pendekatan yang berbeda dengan apriori yakni menggunakan pendekatan Frequent Pattern Tree (fp-tree). Meski fp-growth memiiki performa yang bagus ketika scan database namun rules yang di hasilkan oleh fp-growth tidak sebaik yang di hasilkan oleh apriori. Alternatif lain yang bisa digunakan adalah metode hashing, hal ini bisa menjadi solusi untuk mengatasi masalah dalam proses pencarian dan penentuan frequent k-itemset, sehingga proses scan database bisa lebih cepat. Tujuan penelitian adalah memperbaiki kinerja apriori dalam proses pencarian frekuensi itemset sehingga waktu scan database bisa lebih cepat
Integrasi Barcode-QRCode pada Perpustakaan Universitas Bumigora Mataram dengan Konsep Sistem Terdistribusi Berbasis Mobile Moch. Syahrir; Muhammad Zulfikri; Muhamad Azwar
Jurnal Bumigora Information Technology (BITe) Vol 4 No 1 (2022)
Publisher : Prodi Ilmu Komputer Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/bite.v4i1.1902

Abstract

Perpustakaan di universitas bumigora telah menggunakan sistem untuk proses peminjaman dan pengembalian buku, akan tetapi masih terjadi pengantrian pada saat proses peminjaman dan pengembalian buku, karena harus mencari buku di rak-rak lalu diberikan ke kasir untuk di data dan lain sebagainnya. Pada umumnya mahasiswa universitas bumigora telah memiliki handphone ataupun smartphone android. Sementara di sisi lain semua buku-buku offline yang tersedia di perpustakkan universitas bumigora memiliki ISBN dengan barcode ataupun QRcode. Penggunaan barcode dan QRCode sudah sangat umum, tidak hanya pada barang-barang yang ada di toko-toko ataupun swalayan, akan tetapi penggunaan barcode dan QRCode sudah digunakan diberbagai bidang karena lebih praktis, dan tidak terkecuali ISBN buku-buku offline, oleh sebab itu sistem yang akan dibangun adalah sistem yang mampu menjawab permasalah yang ada di perpustakaan universitas bumigora dengan memanfaatkan kecanggihan teknologi dengan mengkolaborasikan sistem berbasis dekstop, mobile dan juga website sebagai back endnya untuk membangun program aplikasi perpustakaan yang mampu di olah oleh operator dengan baik dan pengguna bisa berinteraksi secara langsung. Adapun hasil dari quisioner likert yang digunakan untuk menguji sistem yang di bangun dengan 20 responden, mampu menghasilkan katergori sangat baik dengan nilai 97.70. Dengan sistem yang dibangun mampu memberikan solusi dan mempermudah bagian perpustakaan universitas bumigora dalam mengelola dan meningkatkan eksistensi perpustakaan universitas bumigora dalam melakukan pelayanan
PENENTUAN POLA PEMBELIAN OBAT MENGGUNAKAN ALGORITMA APRIORI Moch Syahrir; Ria Rismayanti; Moh Arief Wicaksono
Jurnal SAINTEKOM Vol. 11 No. 2 (2021): September 2021
Publisher : STMIK Palangka Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (447.96 KB) | DOI: 10.33020/saintekom.v11i2.249

Abstract

Pharmacy is one of the businesses engaged in the health sector, especially product and services in improving public health. This service is carried out by a pharmacy manager in an effort to fulfill the duties and functions of pharmacy. This causes problems that occur in pharmacies, when search for drugs must be done by looking for one by one in transaction, because the pharmacy manager does not know sure the stock of drugs in the pharmacy. In addition, another problem is the arrangement of irregular drug layouts where the drug placement does not have a good standard layout. The method used in building this system is association with a priori on sales transaction data. then processed in a model to explore valuable information, as a policy standard in running a business. Application testing uses 3 minimum support and confidence values ​​so can get the rule and k-Itemset results from 3 different values.
Perancangan Aplikasi Pengolahan Data Kelompok Tani Ternak Provinsi NTB Muhamad Azwar; Syahrir Moch. Syahrir; Mudawil Mudawil Qulub
Bakti Sekawan : Jurnal Pengabdian Masyarakat Vol 2 No 1 (2022): Juni
Publisher : Puslitbang Sekawan Institute Nusa Tenggara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (346.462 KB) | DOI: 10.35746/bakwan.v2i1.210

Abstract

The Department of Animal Husbandry and Animal Health is one of the government agencies of West Nusa Tenggara Province which has the task of improving the welfare of the community and reducing poverty in West Nusa Tenggara Province by providing grants in the form of livestock assistance or other assistance, assistance is given to livestock farmer groups in all regencies/cities throughout the province. -NTB has criteria that have been determined by the Animal Husbandry and Animal Health Service of the Province of NTB, the assistance provided is sourced from the Provincial Revenue and Expenditure Budget (APBD) and the State Revenue and Expenditure Budget (APBN), because the process of providing assistance through the selection of submitted proposals manually by livestock farmer groups with three processes that become important points, namely recapitulation, validation and verification which takes a long time and the lack of information related to the development of livestock farmer groups in all regions of NTB that have received assistance, therefore an application or application is needed. u an information system that can assist the Department of Animal Husbandry and Animal Health of the Province of NTB in processing livestock farmer group data, ranking as a good decision maker..
Pembuatan Portal Web SMKN 6 Mataram Sebagai Media Promosi dan Informasi Kelulusan Siswa Muhamad Azwar; Moch. Syahrir; Pahrul Irfan
Bakti Sekawan : Jurnal Pengabdian Masyarakat Vol 2 No 2 (2022): Desember
Publisher : Puslitbang Sekawan Institute Nusa Tenggara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (516.905 KB) | DOI: 10.35746/bakwan.v2i2.269

Abstract

A website is a collection of interconnected, publicly accessible Web pages that share a single domain name. Websites can be created and maintained by individuals, groups, businesses, or organizations to serve a variety of purposes, such as the rapiddelivery of information to the public. Websites come in almost endless variations, including educational sites, news sites, forums,social media sites, e-commerce sites, and so on. The pages on a website are usually a mixture of text and other media. There are no rules that determine the form of the website, one example is a website for schools which is one of the most effective mediafor delivering graduation information or information related to schools, especially at SMK Negeri 6 Mataram where students do notonly come from within the region but there are also those from outside the region so that this is one of the school's challenges to create an intermediary medium for delivering information nationally. Previously, SMK Negeri 6 Mataram in conveying graduation information to students still used paper and envelopes given to students as well as posting information on the wall magazine because it was too wasteful. and there are restrictions on the delivery of information. So that SMK Negeri 6 Mataramenforces thedelivery of graduation information by using a website so that it can be accessed by students in various places, so as to reduce the use of paper and envelopes, the website is built using a combination of codeigniter and Laravel frameworks in order to reduce hacking from irresponsible parties
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.
Intelligent System for Internet of Things-Based Building Fire Safety with Naive Bayes Algorithm Ni Gusti Ayu Dasriani; Sirojul Hadi; Moch Syahrir
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol 23 No 1 (2023)
Publisher : LPPM Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/matrik.v23i1.3581

Abstract

Population growth is increasing every year. Population growth causes an increase in population density in a country. The largest population density is in urban areas. Fires in a city with a high population density will potentially cause greater damage. Material and non-material losses due to fire can be caused by not functioning maximally early warning systems, especially fire detection. In addition, other factors, such as system errors in detecting fires, can potentially cause fires. This research aims to build an intelligent system that can minimize building fire detection errors to reduce user material losses. The intelligent system can classify fire potential into four classifications, namely ”very dangerous,” ”dangerous,” ”alert,” and ”safe.” The method used in this research is Research and Development (R&D) with artificial intelligence using the Na¨ıve Bayes method, which has been integrated with the Internet of Things (IoT). This research shows that the Na¨ıve Bayes algorithm can be used to classify fire potential, proven by the overall system testing accuracy of 93.33% with an error of 6.77%.
Co-Authors Ahmad Ahmad Andi Sofyan Anas Cahyablindar, Ayu Fatimatuzzahra Fatimatuzzahra Hairani Hairani Hammad, Rifqi Hammad, Rifqi Kartarina, Kartarina Lalu Zazuli Azhar Mardedi Latif, Kurniadin Abd M. Hidayatullah Moh Arief Wicaksono Mudawil Qulub Muhamad Azwar Muhammad Zulfikri Muhammad Zulfikri Ni Gusti Ayu Dasriani Pahrul Irfan Ria Rismayanti Sirojul Hadi