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PERANCANGAN WEBSITE UNTUK PREDIKSI JUMLAH PENGELUARAN MAHASISWA BERBASIS FRAMEWORK STREAMLIT Devalio, Devalio; Anisya, Anisya; Syahrani, Anna; Warman, Indra; Busran, Busran
Jurnal Informatika dan Teknik Elektro Terapan Vol. 13 No. 2 (2025)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v13i2.6451

Abstract

Pengeluaran mahasiswa Generasi Z cenderung meningkat akibat kemudahan akses teknologi dan tren belanja online, yang dipengaruhi oleh fenomena Fear of Missing Out (FOMO) dan gaya hidup hedonis. Untuk membantu mahasiswa dalam mengelola keuangan mereka, penelitian ini merancang website berbasis Streamlit untuk memprediksi pengeluaran mahasiswa. Website ini memiliki dua halaman utama: Home, yang menampilkan data pengeluaran dan hasil prediksi, serta Prediksi Data Baru, yang memungkinkan pengguna mengunggah data terbaru dalam format CSV sebelum diproses. Data diperoleh melalui kuesioner yang mencakup berbagai kategori pengeluaran. Pengujian BlackBox dilakukan untuk memastikan semua fitur berfungsi dengan baik. Hasil penelitian menunjukkan bahwa website ini dapat membantu mahasiswa dalam memantau dan mengelola pengeluaran mereka secara lebih bijak.
INTEGRASI XML DAN PYTHON PADA PENGEMBANGAN FRAMEWORK ODOO SISTEM GUDANG ANISYA, ANISYA; WARMAN, INDRA; TRISE PUTRA, DEDE WIRA; YULIANTI, EVA; Setiawan, Hendra Cahyo
Device Vol 14 No 1 (2024): Mei
Publisher : Fakultas Teknik dan Ilmu Komputer (FASTIKOM) UNSIQ

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32699/device.v14i1.5606

Abstract

Sistem Enterprise Resource Planning (ERP) dengan modul gudang Odoo 15,perlu disesuaikan dengan proses bisnis perusahaan yang,Ini mencakup penyesuaian fitur dan alur kerja agar sesuai dengan kebutuhan dan tuntutan operasional perusahaan. Selain itu, integrasi kompleks antara XML dan Python.Dengan melakukan pengembangan ini, sistem ERP dapat menjadi alat yang lebih efektif dan efisien dalam mendukung operasi bisnis yang unik dari perusahaan tersebut.Diharapkan dengan pengembangan modul gudang berbasis Odoo 15 dapat berhasil dan memberikan solusi optimal bagi perusahaan dalam mengatasi masalah pencatatan gudang serta meningkatkan efisiensi operasional.Hasil penelitian ini berhasil mengembangkan XML, Python, dan PostgreSQL dalam framework Odoo 15 untuk pengelolaan proses bisnis di UD Agung.Untuk pengembangan sistem gudang lebih lanjut,mengimplementasikan Database Transaksional Multi-User untuk data akurat dan akses bersama dan perlu pengembangan antarmuka terkait penggunaan teknologi XML.Dengan mengintegrasikan teknologi XML, Python, dan PostgreSQL dalam framework Odoo 15, dapat membantu dalam penyelarasan proses bisnis pada UD Agung,dengan pembuatan model menggunakan Python untuk berinteraksi dengan tabel database PostgreSQL serta proses CRUD (Create, Read Update, and Delete )dari database PostgreSQL,untuk menampilkan data menggunakan XML
Web-Based E-Location of A Palm Oil Processing Factory in Dharmasraya Regency ANISYA, ANISYA; Warman, Indra; Minarni, Minarni; Wira Trise Putra, Dede; Irawan, Boby; Yoga Swara, Ganda; Mandarani, Putri
SAINTEKBU Vol. 17 No. 01 (2025): Vol. 17 (01) January 2025
Publisher : KH. A. Wahab Hasbullah University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32764/saintekbu.v17i01.5007

Abstract

Given the significance of oil palm plantations in contributing to the economy of Dharmasraya Regency, especially for industry players seeking suitable palm oil processing facilities, there is a need for detailed and easily accessible information. One approach to providing quick and convenient access to the locations of palm oil processing plants is through E-Location technology. E-Location is an electronic information system that displays a distribution map of palm oil processing plants in Dharmasraya Regency. This study aims to create a web-based E-Location information system using the CodeIgniter framework and Open Street Map (OSM) mapping software, facilitating easy access to information on the locations of Palm Oil Processing (POP) in Dharmasraya Regency. This system will enable users to view the distribution of POP locations and access a range of related information. The research results on the Design of a Web-Based Palm Oil Processing Plant E-Location Information System in Dharmasraya Regency show that this system is effective for viewing the distribution map and detailed information about palm oil processing plants in the region. Available information includes company profiles, maximum processing capacity for Fresh Fruit Bunches (FFB), number of employees, incoming palm oil volume, oil yield, kernel yield, and average annual oil yield.
Improving Community Knowledge and Skills through Innovation in Utilizing Sorghum Waste as Organic Fertilizer in Batu Layang Village, North Bengkulu Regency Susilo, Edi; Salamun; Dwi Hermawati; Parwito; Rita, Wismalinda; Indra Warman; Ina Asitalia; Tila Watil Muslim Meini; Leres Puspitasari; Fitria Yulianti; Shinta Risti Astuti; Rahmat Setiaji; Sanju Diosi Arisca; Mini Asmarita; Iskarnedi
PAKDEMAS : Jurnal Pengabdian Kepada Masyarakat Vol 5 No 1 (2025): Desember
Publisher : Fakultas Pertanian

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58222/pakdemas.v5i1.534

Abstract

Diversification of local foods is a strategic step in achieving food self-sufficiency and reducing dependence on imports and a single major commodity. However, the dominance of rice as a staple food remains a challenge for national food security. Sorghum (Sorghum bicolor L.) has great potential for development due to its high nutritional content, tolerance to marginal land, and gluten-free properties. However, its utilization in Indonesia is still relatively limited. In Batu Layang Village, Hulu Palik Subdistrict, North Bengkulu Regency, this community service activity targeted farmer groups, PKK, youth, and the general public. The Participatory Rural Appraisal (PRA) method was applied through socialization, training, and demonstration of sorghum waste processing, product downstreaming assistance, evaluation, and marketing strategy strengthening. The results of the activities showed a significant increase in the knowledge and skills of the community, particularly in processing sorghum waste into high-quality organic fertilizer. The evaluation showed increased post-harvest capabilities and a high level of participant satisfaction. In addition to producing economically valuable products, this program also broadened the community's knowledge of food diversification and encouraged forming joint business groups in the future.
Perancangan Sistem Pengamanan Pintu Lemari Arsip Berbasis Pengenalan Wajah Menggunakan Esp32-Cam dan Faceapi.Js Riskhan Hadid; Busran, Busran; Minarni, Minarni; Warman, Indra; Mandarani, Putri
JITU Vol 9 No 2 (2025)
Publisher : Universitas Boyolali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36596/jitu.v9i2.2077

Abstract

A facial recognition-based security system for filing cabinets using ESP32-CAM and the face-api.js library is designed as a modern solution to enhance the security of storing important documents in office or organizational environments. This system utilizes facial recognition technology as a biometric authentication method, offering greater reliability compared to conventional systems. The ESP32-CAM serves as the device that captures users' facial images in real-time and transmits them to a web interface for further processing. Facial detection and feature extraction are performed using the face-api.js library, built on top of TensorFlow.js, leveraging deep learning techniques based on Convolutional Neural Networks (CNN). The models employed include TinyFaceDetector for face detection, faceLandmark68Net for determining facial landmark points, and faceRecognitionNet for generating a 128-dimensional face descriptor. Registered facial data is stored in a web-based database, allowing significantly greater storage capacity compared to local storage in the ESP32-CAM's memory. Verification is conducted by comparing the detected face descriptor against stored data using the FaceMatcher algorithm with a threshold of 0.6. Testing results indicate that the system can accurately recognize faces under adequate lighting conditions, although performance decreases under low-light intensity. This integration of hardware and software provides a more efficient and modern security solution.
PENINGKATAN AKSESIBILITAS DATA DENGAN MENERAPKAN GEO-REPLICATION DATABASE Indra Warman
Jurnal Sistem Informasi dan Informatika (Simika) Vol. 8 No. 1 (2025): Jurnal Sistem Informasi dan Informatika (Simika)
Publisher : Program Studi Sistem Informasi, Universitas Banten Jaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47080/simika.v8i1.3722

Abstract

Database replication is a critical technology that needs to be implemented to improve database performance for applications that require fast data access and high reliability with many users. Very large data query process requests by applications impact decreasing database server performance because many applications use only one database resource. One solution to this is replication, placing the database server and several replications in different locations, which allows database performance to be maximized. This requires a study of research related to replication strategies, especially the implementation of multi-location database geo-replication mechanisms, which aim to ensure the availability of services and replication processes run well and that consistency between database servers can be achieved. The increasing number of replicated databases with different geographic locations will make data access load requests from applications can be directed to several replication servers and reduce the delay time to user responses (low latency). This research implemented a geo-replication database for three database servers on the Ubuntu 22.04.4 LTS Virtual Private Server located in Singapore, West Jakarta, and South Jakarta, using the MariaDB database version 10.6.18. To measure the replication results related to time, consistency, and accessibility, a database replication query processing time test was carried out using queries with data from 250 to 150,000 records. The test results from the consistency side can be seen from the same number of data records on the master and slave replication databases, and from the accessibility side, data query requests can be served from three database server locations.