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All Journal Jurnal technoscientia JURNAL TEKNOLOGI TECHNOSCIENTIA Conten : Computer and Network Technology Jurnal Ilmiah Sistem Informasi dan Ilmu Komputer Jurnal Kabar Masyarakat Informasi interaktif : jurnal informatika dan teknologi informasi
Hendra
Institut Teknologi dan Bisnis Adias
Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Education Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mechanical Engineering Social Sciences

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STUDI KOMPARASI MENYIMPAN DAN MENAMPILKAN DATA HISTORI ANTARA DATABASE TERSTRUKTUR MARIADB DAN DATABASE TIDAK TERSTRUKTUR INFLUXDB -, Hendra; Andriyani, Widyastuti
JURNAL TEKNOLOGI TECHNOSCIENTIA Technoscientia Vol 12 No 2 Februari 2020
Publisher : Lembaga Penelitian & Pengabdian Kepada Masyarakat (LPPM), IST AKPRIND Yogyakarta

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Abstract

The use of structured databases is still very widely used by companies in small and medium scale with the aim of processing data so that from these data conclusions can be drawn to determine a decision. But over time, of course the need for data that continues to grow can make a system run very slowly when using a structured database. That is caused by the amount of data that continues to increase every day, even for certain cases the data can increase every second. For this reason, an unstructured database is needed specifically for storing history data. From some existing unstructured databases, InfluxDB is one of the unstructured databases specifically intended for storing history data and has a very good ability to process data into a matrix for analysis. One of the key factors in an unstructured database is the database structure which is very different and supports to maximize database performance.
STUDI KOMPARASI MENYIMPAN DAN MENAMPILKAN DATA HISTORI ANTARA DATABASE TERSTRUKTUR MARIADB DAN DATABASE TIDAK TERSTRUKTUR INFLUXDB -, Hendra; Andriyani, Widyastuti
JURNAL TEKNOLOGI TECHNOSCIENTIA Technoscientia Vol 12 No 2 Februari 2020
Publisher : Lembaga Penelitian & Pengabdian Kepada Masyarakat (LPPM), IST AKPRIND Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The use of structured databases is still very widely used by companies in small and medium scale with the aim of processing data so that from these data conclusions can be drawn to determine a decision. But over time, of course the need for data that continues to grow can make a system run very slowly when using a structured database. That is caused by the amount of data that continues to increase every day, even for certain cases the data can increase every second. For this reason, an unstructured database is needed specifically for storing history data. From some existing unstructured databases, InfluxDB is one of the unstructured databases specifically intended for storing history data and has a very good ability to process data into a matrix for analysis. One of the key factors in an unstructured database is the database structure which is very different and supports to maximize database performance.
MENGGUNAKAN BINARY CLASSIFICATION UNTUK MENDETEKSI SPAM PADA SMS DENGAN METODE LOGISTIC REGRESSION Hendra, Hendra; SP., B. T. Sutrisno.; Setyawan, Andy Arief
CONTEN : Computer and Network Technology Vol. 4 No. 1 (2024): Juni 2024
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/conten.v4i1.3543

Abstract

Spam biasanya digunakan baik oleh perusahaan maupun perseorangan kepada pelanggannya baik pelanggan lama maupun calon pelanggan untuk memberikan berbagai macam informasi secara terus-menerus. Umumnya informasi yang diberikan adalah promosi produk atau penawaran produk baru. Namun informasi yang diberikan tersebut adalah informasi yang bisa jadi tidak penting sehingga dapat mengganggu orang yang menerima informasi tersebut. Masalah spam ini bisa diantisipasi dengan menciptakan sebuah Machine Learning yang mampu mendeteksi apakah informasi yang masuk itu adalah spam atau bukan dengan melakukan klasifikasi terhadap isi pesan SMS. Karena label yang terdapat pada penelitian ini hanya ada dua variabel, maka penelitian ini menggunakan tipe Binary Classification dengan menerapkan metode Logistic Regression untuk melakukan klasifikasi pesan SMS. Tujuan dalam penelitian ini adalah selain untuk menciptakan sebuah tools pendeteksi spam, penelitian ini juga akan mengdapatkan hasil uji terhadap metode Logistic Regression berdasarkan akurasi pendeteksian yang dapat dicapai. Hasil dari penelitian ini adalah untuk mendapatkan teknik klasifikasi SPAM SMS dengan tingkat akurasi yang tinggi.
Visualisasi Data Suhu dan Kelembaban Ruangan Admisi UTDI Berbasis IoT Menggunakan Google Spreadsheet dan Google Looker Studio Iriyanta, Kuindra; Hendra; Indra Yatini Buryadi
Informasi Interaktif : Jurnal Informatika dan Teknologi Informasi Vol 10 No 1 (2025): JII Volume 10, Number 1, Januari 2025
Publisher : Program Studi Informatika Fakultas Teknik Universitas Janabadra

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Abstract

Visualisasi data adalah salah satu cara untuk menyajikan informasi atau laporan agar menarik dan mudah dipahami. Sehingga dengan melihat visualisasi tersebut dapat diperoleh informasi yang dibutuhkan dan kemudian diambil sebuah kesimpulan. Dashboard adalah sebuah tampilan visual dari informasi atau laporan yang informatif dan juga mudah untuk dipahami. Pemanfaatan teknologi saat ini mendorong setiap lembaga atau instansi menggunakan dashboard untuk menyampaikan laporan. Salah satu dashboard yang sering dipakai adalah Google Looker Studio, yang dapat dimanfaatkan untuk memvisualkan data suhu dan kelembaban ruangan kerja yang terukur dan tersajikan secara realtime. Data suhu diambil langsung dari sensor yang dipasang di ruangan kerja. Dengan Google Looker Studio yang berfungsi sebagai media vusialisasi data dan terkoneksi dengan Google Spreadsheet sebagai pengolah data dan IFTTT sebagai pengambil data dari sensor, maka visualisasi data akan dapat disajikan dengan jelas, tepat dan akurat.
Rancang Bangun Sistem Informasi Penjualan menggunakan CMS Wordpress untuk Meningkatkan Efisiensi UMKM dengan Biaya Terjangkau B.T. Sutrisno. SP.; Hendra Hendra; Kuindra Iriyanta; Aji Awang Setiawan
Jurnal ilmiah Sistem Informasi dan Ilmu Komputer Vol. 5 No. 2 (2025): Juli : Jurnal ilmiah Sistem Informasi dan Ilmu Komputer
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/juisik.v5i2.1418

Abstract

The use of information technology has become a crucial need for Micro, Small, and Medium Enterprises (UMKM) in the digital era, despite frequent constraints in funding and technical resources. This study aims to explore the use of WordPress CMS as an affordable and easily implementable sales information system solution for UMKM. WordPress was chosen due to its flexibility in managing various products, including food and manufactured goods, at a lower cost compared to custom system development. The research method includes analyzing WordPress implementation for UMKM, identifying its strengths and weaknesses, and comparing costs with custom-built systems. The results indicate that WordPress can be an effective and economical solution for UMKM, offering various plugins that can be tailored to business needs without requiring deep technical expertise. This study provides practical guidance for UMKM in utilizing WordPress to enhance online sales with minimal budgets, while also contributing to the literature on the application of low-cost technology to support MSME growth in Indonesia.
Pengembangan Usaha Produksi Mie Kering dan Basah di UMKM Lampionmas Banjaran, Kecamatan Taman, Kabupaten Pemalang Tri Handayani; Hendra Hendra; Lavin Roro Shasita; Laili Ismatun Ningsih; Citra Karisma Deviani; Dian Arbaina; Olivia Natasya
Jurnal Kabar Masyarakat Vol. 3 No. 2 (2025): JURNAL KABAR MASYARAKAT
Publisher : Institut Teknologi dan Bisnis Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54066/jkb.v3i2.3109

Abstract

The UMKM that is the object of Team 3's community service activities is the UMKM "Mie Lampionmas" located on Jalan Bali No. 92 RT 03/RW 06 Banjaran Taman-Pemalang, Central Java. This UMKM produces semi-finished food ingredients, namely wet noodles and dry noodles. The purpose of implementing this community service activity is to provide assistance in business development in UMKM by identifying problems that exist in UMKM, and trying to provide alternative solutions. After conducting the observation stage, several problems were found faced by UMKM, including not having a production process video, the appearance of social media and e-commerce is not attractive, the business location is not listed on Google Maps, the P-IRT has expired, the logo is not attractive, does not have an organizational structure and business profile, the business banner is not suitable for use, does not have a price list (catalog), promotional materials, pamphlets and promotional videos, has not determined the HPP clearly and simple financial reports. After carrying out the observation stage, several business development assistance programs were formulated, including making videos of the production and promotion process, optimizing social media and e-commerce, creating Google Maps locations, extending P-IRT and updating passwords, updating logos, creating organizational structures, profiles and creating new banners, creating price lists (catalogs), pamphlet promotions, calculating COGS, recording simple financial reports. After analyzing and applying the KKU program to the MSMEs, it resulted in positive impacts, including the MSMEs having videos for promotional materials, attractive social media and e-commerce displays, having location points on Google Maps, valid P-IRT and being able to log into the OSS account again, having a logo, organizational structure, business profile, banner, price list, promotional pamphlet, and calculating COGS and clear financial reports.
Co-Authors Aji Awang Setiawan Andriyani, Widyastuti B.T. Sutrisno Citra Karisma Deviani Dian Arbaina Indra Yatini Buryadi Iriyanta, Kuindra Kuindra Iriyanta Laili Ismatun Ningsih Lavin Roro Shasita Olivia Natasya Setyawan, Andy Arief Tri Handayani