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All Journal Jurnal Pemberdayaan: Publikasi Hasil Pengabdian Kepada Masyarakat bit-Tech Algor
Susanto Hariyanto
Universitas Buddhi Dharma
Arts Humanities Computer Science & IT Education Environmental Science Languange, Linguistic, Communication & Media Social Sciences Other

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Journal : bit-Tech

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IMPLEMENTASI BUSINESS INTELLIGENCE DALAM MENGANALISIS DATA MENGGUNAKAN TABLEAU PADA PT GLOBAL BINTAN PERMATA Guy Ritchie; Susanto Hariyanto
bit-Tech Vol. 6 No. 1 (2023): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v6i1.875

Abstract

PT Global Bintan Permata is member group Yafindo (Batam, Indonesia) which is engaged in the distribution and import goods consumption and goods consumption throughout Indonesia . one _ business being run is distributing sugar _ throughout modern market and delivery some are via transportation and some are done in a manner independent . The target market namely the big modern market like Alfamart , Alfamidi , Indomarco , Indogrosir , Tiptop, and there is also a small modern market like Totalfruits , Grandlucky , etc. _ Of the many transactions made by the company this company _ This Still Not yet own Dashboard application for monitoring activity operations and transactions . So from it is needed something deep data visualization dashboard shape . Method used to data warehouse design is use method kimball nine-step technology. For the Extract, Transform and Load (ETL) process for data warehouse design using tools in the Pentaho Data Integration application , meanwhile For dashboard visualization is done with use the Tableau Public app . Result of application Tableau Public app is form generated data visualization dashboard reports containing information in form the data visualization it consists of from transaction and marketing data in 2021. Dashboard provides information For know How development sale both product and sales are also developing transactions with customers in 2021 later will become base in taking decisions required by management within PT Global Bintan Permata for help in the process of taking decision.
Designing Home Security With Esp32-Cam and IoT-Based Alarm Notification Using Telegram Hery Kurniawan; Susanto Hariyanto
bit-Tech Vol. 6 No. 2 (2023): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v6i2.932

Abstract

Nowadays, technological advances have entered human life. One of the security system solutions is the use of Closed Circuit Television (CCTV) as a monitoring medium, but it is still lacking. This is because more and more crimes are committed in homes where the owner is away. As a result, each home needs a security system that can protect the wealth and assets of the owner. Similarly, currently existing security systems are rarely able to provide data directly to homeowners if an outsider wants to commit a crime. So, research was conducted with the title "Home Security Design with ESP32-CAM and Internet of Things (IoT) Based Alarm Notification Using Telegram Application". With this device plan, it is believed that individuals who leave the house will feel safer. This device can detect an infrared wave produced by humans within its range and is equipped with an alarm/buzzer that produces output in the form of notifications on Telegram and alarm sounds on the device. The PIR sensor and ESP32-CAM integrated with the Telegram mobile device form the basis of this security system. This research has successfully implemented a device aimed at reducing home burglary issues by detecting human motion, triggering alarms, and enabling remote monitoring through Telegram. Additionally, the adapter utilized in the system produces an average voltage value of 5.196 V with an average error rate of approximately 3.9%.
Penerapan Metode Market Basket Analisis Dengan Algoritma Apriori Pada Toko Ritel Elektronik Kevin Brighton; Susanto Hariyanto
bit-Tech Vol. 7 No. 1 (2024): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v7i1.1417

Abstract

Pesatnya perkembangan industri ritel elektronik memunculkan kebutuhan untuk memahami pola pembelian konsumen secara lebih mendalam. Penelitian ini mempunyai tujuan untuk menerapkan metode Market Basket Analysis dengan menggunakan algoritma Apriori guna mengidentifikasi pola asosiasi dalam transaksi pembelian di Toko Ritel Elektronik Sumber Makmur. Penelitian ini melibatkan akumulasi data sampel transaksi penjualan dengan bentuk fisik yaitu, bon/nota dari periode kurang lebih satu bulan. Pengembangan ini dapat digunakan oleh manajemen toko untuk meningkatkan efesiensi penempatan produk, serta memberikan rekomendasi barang kepada pelanggan. Penerapan Market Basket Analysis dengan algoritma Apriori diharapkan dapat meningkatkan efisiensi operasional toko serta memberikann pemahaman praktis tentang perilaku pembelian konsumen yang bisa menjadi pedoman bagi pihak toko ritel. Proses analisis menggunakan algoritma Apriori menghasilkan aturan asosiasi yang menggambarkan hubungan antar produk yang sering dibeli bersama. dengan menggunakan sampel data dari priode 4 Juni 2023 hingga 4 Juli 2023 dan peneliti medapatkan hasil yang serupa antara perhitungan dengan RapidMiner dengan perthitungan manual dengan menggunakan ketentuan minimal support 0,2 atau 20% dan minimal confidence 0,6 atau 60%. Dengan demikian, metode analisis ini diharapkan dalam meningkatkan strategi pemasaran dan manajemen stok. Sebagai rekomendasi, toko dapat terus mengoptimalkan hasil analisis ini  untuk merancang strategi pemasaran yang lebih tepat sasaran dan memperkuat posisi di pasar yang kompetitif.
Implementation of Business Intelligence to Analyze Product Popularity Evant Welsh Manalu; Susanto Hariyanto
bit-Tech Vol. 8 No. 3 (2026): bit-Tech - IN PROGRESS
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i3.3104

Abstract

PT Dairyfood Internusa is a corporation engaged in the distribution of bakery products and food ingredients to Hotels, Restaurants, Cafes, and retail stores throughout Indonesia. This company conducts numerous transactions annually, resulting in a substantial amount of raw data that can be processed and analyzed to extract important information, which is then presented in visual form. Product popularity is one of many factors that determine the degree to which a product is liked and sought after by customers. It can be influenced by various factors, including its quality, social influence or marketing, and the availability of information about the product. And for this reason, a tool are needed to measure and visualize product popularity which can provide the stakeholder with necessary data that helps them in decision-making. The problem is how to make a system that can extract, transform, and visualize the data statistically in real time. The effort made is to cut labor and time for the users from transforming the raw data, by implementing the 9 Step Kimball methodology for developing a data warehouse which will be used to store the raw data and also the transformed data. Using the application Microsoft Power BI to enabled us to visualize the transformed, the author wants to create and design a business intelligence system that can make it easier for users or stakeholders to see and get the analytical data they needed in decision-making.
Co-Authors Andreas Adi Putra Wara ardie halim wijaya Ardie Wijaya Benny Daniawan Dera Susilawati Desiyanna Lasut Dicky Surya Dwi Putra Eko Budiarto Evant Welsh Manalu Fennita Fennita Fernando Verdy Sunata Guy Ritchie Hartana Wijaya Hery Kurniawan Indrawan Gotama Jacob Febryadi Nithanel Dethan Kevin Brighton kevin steven Ramona Safitri Rino Rino Rudy Arijanto Tesa Lonika