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All Journal JSI: Jurnal Sistem Informasi (E-Journal) Jurnal Pseudocode Jurnal Informatika Upgris Social, Humanities, and Educational Studies (SHEs): Conference Series JSAI (Journal Scientific and Applied Informatics) Journal of Technopreneurship and Information System (JTIS) Jurnal Ilmu Komputer Dan Informatika JPMTT (Jurnal Pengabdian Masyarakat Teknologi Terbarukan) Jurnal Komputer, Informasi dan Teknologi
Muhammad Husni Rifqo
Universitas Muhammadiyah Bengkulu
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Library & Information Science Social Sciences Other

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PELATIHAN MERAKIT KOMPUTER BAGI SISWA-SISWI SMP DAN SMA DI KELURAHAN PASAR UJUNG KECAMATAN KEPAHIANG KABUPATEN KEPAHIANG dwita deslianti; Pahrizal Pahrizal; Andi lala; Muhammad Husni Rifqo
JPMTT (Jurnal Pengabdian Masyarakat Teknologi Terbarukan) Vol. 1 No. 2 (2021): Oktober
Publisher : Lembaga Penelitian Pengabdian Masyarakat Penerbitan dan Percetakan Indonesian Scholar Khiar Wafi (LPPMPP IKHAFI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54650/jpmtt.v1i2.411

Abstract

Kuliah Kerja Nyata (KKN) Universitas Muhammadiyah Bengkulu adalah sarana pengaplikasian bagi mahasiswa secara menyeluruh dibidang disiplin ilmu pengetahuan dari teori-teori yang dimilikinya ke dalam sebuah wujud nyata pengabdian kepada masyarkat. Kegiatan ini juga merupakan program intrakulikuler yang wajib diikuti oleh seluruh mahasiswa Universitas Muhammadiyah Bengkulu dan memiliki tema besar Gerakan Nasional Revolusi Mental (GNRM). Mahasiswa diharapkan mampu beradaptasi dan berinteraksi sosial dengan masyarakat sehingga nantinya mampu menyelesaikan masalah-masalah yang terjadi di masyarakat tentunya dengan aplikasi ilmu yang sudah didapatkan di bangku perkuliahan.Kelurahan Pasar Ujung merupakan salah satu kelurahan yang berada di Kecamatan Kepahiang, Kabupaten Kepahiang. Kelurahan Pasar Ujung terletak di tengah-tengah Kecamatan Kepahiang dan memiliki 14 RT dan 5 RW di dalamnya. Secara georafis, Kelurahan Pasar Ujung berbatasan dengan: 1. Sebelah utara berbatasan dengan Desa Weskust, 2. Sebelah timur berbatasan dengan Desa Permu, Desa Permu Bawah dan Desa Imigrasi Permu, 3. Sebelah selatan berbatasan dengan Kelurahan Padang Lekat, 4. Sebelah barat berbatasan dengan Kelurahan Pasar Kepahiang. Dalam buku yang diterbitkan Badan Pusat Statistik Kabupaten Kepahiang yang berjudul “Kecamatan Kepahiang Dalam Angka 2020”, jumlah penduduk Kelurahan Pasar Ujung pada tahun 2020 adalah 5.859 jiwa. Dari sudut pandang penulis sebagai salah satu dari masyarakat yang ikut terdampak dari pendemi virus Covid-19, penulis merasa bahwa sistem pembelajaran online ini tidaklah efektif, karena sebagian besar materi yang diajarkan secara daring tidaklah memberikan pemahaman secara langsung kepada siswa/siswi dan juga tidaklah semua siswa/siswi paham akan dunia IT. Untuk itu, penulis memberikan pembelajaran private kepada siswa/siswi tingkat SMP dan SMA di Kelurahan Pasar Ujung mengenai cara merakit sebuah komputer dimulai dari memperkenalkan komponen-komponen pada sebuah komputer, mempraktikkan cara merakit komputer, dan menguji siswa/siswi merakit sebuah komputer. Berdasarkan pelaksanaan Kuliah Kerja Nyata (KKN) yang bertempat di Kelurahan Pasar Ujung, Kecamatan Kepahiang, Kabupaten Kepahiang didapatkan siswa/siswi yang menjadi peserta pelatihan semakin memahami tentang dunia IT dan semoga dapat menjadi motivasi dalam mengembangkan bakatnya di duia IT. Kata Kunci : Pelatihan, IT, Komputer
Implementasi Algoritma Apriori Untuk Penjualan Handphone dan Aksesoris: Studi Kasus Ghafi Cell Kaur Yulia Okta Darmi; Mutiara Okta Fiona; Muhammad Husni Rifqo; Dedy Abdullah
Social, Humanities, and Educational Studies (SHES): Conference Series Vol 8, No 4 (2025): Social, Humanities, and Educational Studies (SHEs): Conference Series
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/shes.v8i4.111227

Abstract

Dalam industri ritel suku cadang dan aksesori handphone, pemahaman mendalam mengenai pola pembelian konsumen merupakan aset krusial untuk mengoptimalkan strategi pemasaran dan efisiensi operasional. Penelitian ini bertujuan menerapkan algoritma Apriori untuk mengekstraksi aturan asosiasi yang signifikan dari data transaksi perusahaan, mengidentifikasi tren penjualan, dan menganalisis faktor-faktor yang memengaruhi volume penjualan. Metode yang digunakan adalah analisis data sekunder dari laporan penjualan historis, dikombinasikan dengan data primer, di mana kebaruan penelitian terletak pada implementasi Apriori secara spesifik pada dataset kompleks suku cadang dan aksesori handphone yang kurang tereksplorasi. Analisis kuantitatif ini berhasil menemukan aturan asosiasi yang kuat, seperti produk A dan B sering dibeli bersamaan dengan tingkat support 15.2% dan confidence 85.0%, mengungkap pola penjualan tersembunyi yang belum terdeteksi. Kontribusi utama penelitian ini adalah menyediakan dasar berbasis data bagi perusahaan untuk merancang promosi bundling yang sangat tertarget, mengoptimalkan penempatan produk, dan meningkatkan akurasi peramalan inventaris untuk mengurangi risiko stock-out. Implementasi Apriori ini merupakan model strategis untuk transformasi digital, memungkinkan pengambilan keputusan yang lebih akurat dalam penentuan harga dan pengelolaan stok, serta berfungsi sebagai referensi metodologis yang berharga bagi industri ritel lainnya.
Classification Of Accident Proposed Road Data Traffic In Bengkulu City Using K-Means Algorithm Muhammad Andre Anggara; Anisya Sonita; Muhammad Husni Rifqo; Ardi Wijaya
Jurnal Komputer, Informasi dan Teknologi Vol. 3 No. 2 (2023): Desember
Publisher : Penerbit Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/jkomitek.v3i2.1188

Abstract

A traffic accident is an event where a motorized vehicle collides with another object and causes damage. Traffic accident data at the Bengkulu City Police LAKA LANTAS (Traffic Accident) Unit is only used as data reporting where the accident data can actually help to reduce the number of traffic accidents by grouping to facilitate the police in proper handling efforts to reduce the number of traffic accidents. traffic accidents by classifying accident-prone roads. One of the approaches used in developing the clustering method is the K-Means Clustering method, where this method is a data grouping method that attempts to partition data into two or more groups (clusters) with the same characteristics into the same group. The results and discussion of the research obtained a system capable of classifying accident-prone roads using the k-means method. From the tests carried out this system can be used by the POLRESTA in helping these problems.
System Information And Application For Official Marriage Trials For Polri & PNS Members At Polda Bengkulu Wahyu Hidayat; Diana Diana; Muhammad Husni Rifqo; Dwita Deslianti
Jurnal Komputer, Informasi dan Teknologi Vol. 3 No. 1 (2023): Juni
Publisher : Penerbit Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/jkomitek.v3i1.1198

Abstract

One of the stages for forming a family within the Police environment, is that each prospective bride and groom will undergo a marriage coaching session. At the Bengkulu Regional Police level, this official marriage trial is under the auspices of the Human Resources Bureau (HR). Currently, the management of files and scheduling of service marriage sessions within the Bengkulu Police is still being done manually by physically collecting the required files and processing them by the admin. The purpose of this practical work is to design and build a system that can assist in the process of applying for official marriage hearings for members of the Police & Civil Servants at the Bengkulu Regional Police. The system development method in this study uses the waterfall model. Process design on the system using DFD (Data Flow Diagram), database design using ERD (Entity Relation Diagram) and database design using MySQL.The result of this research is an information system and application for official marriage hearings for members of the National Police & Civil Servants at the Bengkulu Regional Police which can assist in the process of filing for official marriage hearings. And conduct testing of the system using the blackbox method.
Data Mining Implementation Of Electronic Products Sales Using Apriori Algorithm (Case Study Of Fokus Komputer Shop) Yunita Meli Dena; Muhammad Husni Rifqo; Yuza Reswan; A.R Walad Mahfuzi
Jurnal Komputer, Informasi dan Teknologi Vol. 3 No. 1 (2023): Juni
Publisher : Penerbit Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/jkomitek.v3i1.1200

Abstract

Focus Komputer Store is one of the computer shops in Bengkulu City which is the destination for consumers in looking for computer-related goods and providing computer service services. Every day the sales transaction data in stores continues to grow and causes a very large data storage. Most sales transaction data are only used as archives without being put to good use. The process of selecting goods is carried out by taking into account the pattern of purchases in the previous month so that a list of items that must be provided is more extensive to meet current consumer needs. The problem is market interest or consumer needs are always changing depending on uncertain conditions. The process of selecting goods to fill stock is a very complicated process and takes a long time because you have to read the sales archives that were made the previous month. For this reason, it is necessary to have an application that can provide recommendations on what items are currently in demand by consumers based on last month's sales data. Applications that can be used for the process of extracting previous data are data mining applications. Data mining is an analysis of reviewing data sets to find unexpected relationships and summarize data in different ways that are understandable and useful to the data owner. To be able to get results that are more relevant to needs, applications must use suitable algorithms, one of which is the Apriori algorithm. The a priori algorithm is an algorithm that searches for frequent itemsets using the association rule technique. The application can be used as a sales cashier application at the Computer Focus store and can display the results of a priori algorithm calculations based on sales data that has been input into the application. The application that the author has built still has many shortcomings, especially in terms of appearance and data. The author hopes that there are criticisms and suggestions that can help in developing applications so that they are even better.
Co-Authors Ahmad Leo Andi Lala Andilala, Andilala Ar. Walad Mahfuzi Ardi wijaya Dedy Abdullah Dedy Agung Prabowo Deslianti, Dwita Diana Diana Firmansyah Firmansyah Heni Aprianti Jaka Dernata Marissa Utami Muflih Haura Muhammad Andre Anggara Mutiara Okta Fiona Nuri David Maria Veronica Pahrizal, Pahrizal Putra, Erwin Dwika Sonita, Anisya Wahyu Hidayat Yulia Okta Darmi Yunita Meli Dena Yuza Reswan