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Contact Name
Febri Haswan
Contact Email
jurnalsintika@gmail.com
Phone
+6282387466901
Journal Mail Official
jurnalsintika@gmail.com
Editorial Address
Desa Hulu Teso, Kecamatan Logas Tanah Darat, Kab. Kuantan Singingi, Prov. RIau, Indonesia.
Location
Kab. kuantan singingi,
Riau
INDONESIA
Jurnal Sistem Informasi, Teknik Informatika, dan Sistem Komputer
ISSN : -     EISSN : 30905958     DOI : https://doi.org/10.65359/sintika.2025.13.92
Jurnal SINTIKA merupakan publikasi ilmiah yang berfokus pada bidang Sistem Informasi, Teknik Informatika, dan Sistem Komputer. Jurnal ini bertujuan untuk menjadi wadah bagi akademisi, peneliti, dan praktisi dalam mempublikasikan hasil penelitian, kajian teoritis, dan aplikasi praktis terkait perkembangan teknologi informasi dan komputasi. Cakupan topik yang diterbitkan meliputi, pengembangan sistem informasi, rekayasa perangkat lunak, kecerdasan buatan, jaringan komputer, keamanan data, komputasi awan, Internet of Things (IoT), serta inovasi dalam bidang sistem komputer. Jurnal SINTIKA menerapkan proses peer-review yang ketat untuk memastikan kualitas dan orisinalitas artikel yang diterbitkan. Dengan mengedepankan prinsip transparansi dan integritas akademik, jurnal ini berkomitmen untuk mendorong pertukaran ide dan pengetahuan terkini di bidang teknologi informasi dan komputer. Jurnal SINTIKA terbit secara berkala empat kali dalam setahun (quarterly), yaitu pada bulan Februari, Mei, September, dan Desember. Publikasi yang disediakan dalam bentuk online untuk memastikan aksesibilitas yang luas bagi pembaca dan peneliti di seluruh dunia. Melalui publikasi ini, Jurnal SINTIKA berupaya berkontribusi pada kemajuan ilmu pengetahuan dan teknologi, serta mendukung pengembangan solusi inovatif untuk tantangan di era digital.
Articles 44 Documents
Sistem Klasifikasi Telur Ayam Ras Petelur Otomatis Berbasis Conveyor Menggunakan ESP32 M Fernanda; Ega Evinda Putri; Rabby Nazli
Jurnal SINTIKA (Jurnal Sistem Informasi, Teknik Informatika, dan Sistem Komputer) Vol. 2 No. 3 (2026): Jurnal Sintika
Publisher : Yasin Publisher (Yayasan Amal Sosial Islami Nahdliyin)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65359/z2z1dn61

Abstract

The classification of layer chicken eggs (Gallus gallus domesticus) in small- and medium-scale farms is still commonly carried out manually through weighing and visual inspection of shell conditions. This process may produce different results between operators and requires considerable time for sorting. This study aimed to design and develop an automatic classification system for layer chicken eggs based on a conveyor using an ESP32 microcontroller. The system classifies eggs based on weight, shell crack condition, and shell color, while displaying the classification results through an Internet of Things (IoT)-based monitoring dashboard. The research employed the ADDIE development method, consisting of analysis, design, development, implementation, and evaluation stages. The system uses a load cell HX711 sensor to measure egg weight, an LDR sensor to detect shell cracks, and a TCS3200 color sensor to identify shell color. Testing was conducted on 30 egg samples with a weight range of 20–80 grams. The results showed that the load cell sensor produced an average measurement error of 3.44%, the LDR sensor detected egg conditions with a success rate of 100%, and all 30 samples were processed without data loss, with an average processing time of 14.56 seconds per egg. The monitoring dashboard was also able to display classification results in real time according to the actual egg conditions on the conveyor. These results indicate that the developed system integrates weight, shell crack condition, and shell color classification into an ESP32-based automatic system and provides monitoring of the classification results through an IoT-based dashboard.
Perancangan UI/UX Emas Laparis Menggunakan Metode Lean UX untuk Meningkatkan Konversi Pembelian pada Platform Marketplace Hafizo Fahrezi Setiono Putra; Awalludiyah
Jurnal SINTIKA (Jurnal Sistem Informasi, Teknik Informatika, dan Sistem Komputer) Vol. 2 No. 3 (2026): Jurnal Sintika
Publisher : Yasin Publisher (Yayasan Amal Sosial Islami Nahdliyin)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65359/30aa1880

Abstract

Digital gold investment in Indonesia is growing rapidly; however, many conventional gold retailers, such as Emas Laparis, do not yet have digital marketplace platforms with optimized user interfaces and user experiences. This study designed a UI/UX prototype for the Emas Laparis marketplace using the Lean UX method, which consists of five stages: Declare Outcomes, Assumptions and Hypotheses; Collaborative Design; Create MVP; Run Experiment and Feedback; and Learning and Iteration. A high-fidelity prototype was developed using Figma based on a Modern Luxury Minimalist concept, featuring a gold product catalog, near-real-time gold price information, a price estimation calculator, and an Online-to-Offline (O2O)-based checkout process. Usability was evaluated using the System Usability Scale (SUS) with 379 respondents who completed a series of task scenarios. The results showed an average SUS score of 73.89 (Grade B, Good, Acceptable), indicating that the design meets acceptable usability standards and has the potential to improve purchase conversion on the marketplace platform.
Rancang Bangun Sistem Monitoring Suhu Multiprotokol Berbasis ESP32 dan Server Kolektor Asinkron Muhammad Fairus Fawas Afanza; Moh. Noor Al Azam
Jurnal SINTIKA (Jurnal Sistem Informasi, Teknik Informatika, dan Sistem Komputer) Vol. 2 No. 3 (2026): Jurnal Sintika
Publisher : Yasin Publisher (Yayasan Amal Sosial Islami Nahdliyin)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65359/xm6jzz71

Abstract

This study aims to design and implement a robust multi-protocol temperature monitoring system combining modular ESP-IDF firmware and an asynchronous collector server. The system integrates an ESP32 microcontroller interfaced with a Bosch BMP280 temperature sensor and Texas Instruments INA226 digital power monitor over a shared 400 kHz I2C bus, supporting dynamic MQTT (QoS 0 and QoS 1) and RESTful HTTP POST transmission. The receiver architecture combines an asynchronous FastAPI server, Mosquitto MQTT subscriber, and SQLite database in Write-Ahead Logging mode with Pydantic validation. Functional testing confirmed successful hardware initialization, drift-free FreeRTOS task scheduling via xTaskDelayUntil, SNTP epoch synchronization, and structured JSON telemetry parsing. The implemented system demonstrated 100% data reception across 810 experimental test records, validating the modular firmware and dual-transport architecture for smart IoT telemetry applications.
Sistem Informasi Manajemen Persediaan Pada Kedai Kopi “Labuhan Kopi” Menggunakan Metode Economic Order Quantity (EOQ) Berbasis Web Ferry Rohman Kurniawan; Lukman Junaedi; Natalia Damastuti; Achmad Zakki Falani
Jurnal SINTIKA (Jurnal Sistem Informasi, Teknik Informatika, dan Sistem Komputer) Vol. 2 No. 3 (2026): Jurnal Sintika
Publisher : Yasin Publisher (Yayasan Amal Sosial Islami Nahdliyin)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65359/sbqdcr96

Abstract

The "Labuhan Kopi" coffee shop in Surabaya currently manages raw material inventory manually using logbooks and simple spreadsheets, leading to frequent recording errors, delays in report generation, and difficulties in consolidating real-time stock availability data. This study aims to design and develop a web-based inventory management information system that integrates the recording of stock inflows and outflows with report generation, while also implementing the Economic Order Quantity (EOQ) method to determine optimal raw material order quantities. The system was developed using the Waterfall model, comprising stages for requirements analysis, system design (Utilizing Unified Modeling Language [UML] and Entity Relationship Diagrams [ERD]), implementation (using the Laravel framework and MySQL database), and testing (employing the Black Box Testing method). The results demonstrate that the system successfully automates the management of raw material data, supplier information, stock transactions, and inventory reports. Applying the EOQ method to the coffee bean case study yielded an optimal order quantity of 22 kg per purchase, alongside calculations for the Reorder Point (ROP) and Safety Stock (SS) to serve as triggers for reorder notifications. The developed system has proven capable of enhancing the effectiveness, efficiency, and accuracy of inventory management compared to the previous manual recording process.