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INDONESIA
Jurnal Sistem Informasi, Teknik Informatika, dan Sistem Komputer
Published by Yasin Publisher (Yayasan Amal Sosial Islami Nahdliyin)
ISSN : -     EISSN : 30905958     DOI : https://doi.org/10.65359/sintika.2025.13.92
Core Subject : Science, Education, Engineering,
Computer Science & IT Control & Systems Engineering Education Engineering Languange, Linguistic, Communication & Media Mechanical Engineering Other
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.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 44 Documents
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Penerapan Algoritma K-Means untuk Clustering Pendapatan Petani Karetdi Desa Karya Mukti Hasna Nur Afifah; Jum Dapiokta; Anggraeni Agustin Muris; Pujianto
Jurnal SINTIKA (Jurnal Sistem Informasi, Teknik Informatika, dan Sistem Komputer) Vol. 2 No. 2 (2026): Jurnal Sintika
Publisher : Yasin Publisher (Yayasan Amal Sosial Islami Nahdliyin)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65359/sintika.2026.22.96

Abstract

The income of rubber farmers in Karya Mukti Village varies considerably among farmers, influenced by factors such as land area, rubber latex production, and plantation maintenance costs. These differences in characteristics result in varying levels of farmer income, making it necessary to classify the farmers to identify income patterns more clearly. This study aims to classify the income levels of rubber farmers using a data mining approach with the K-Means algorithm. The analysis was conducted using data from 95 rubber farmers collected through direct interviews. The variables analyzed included land area, rubber latex production, and farmers' net income. The results show that rubber farmers in Karya Mukti Village were divided into three clusters: a low-income cluster consisting of 43 farmers, a medium-income cluster consisting of 37 farmers, and a high-income cluster consisting of 15 farmers. Evaluation using the Davies–Bouldin Index resulted in a value of 0.519, indicating that the clustering results have reasonably good quality. The findings reveal a relationship between land area, production level, and the net income of rubber farmers. This study is expected to provide an analytical basis for the village government and relevant stakeholders in developing more targeted policies to improve the welfare of rubber farmers.
Rancang Bangun Sistem Informasi Cafe Berbasis Web dengan Multi-User Role untuk Pengelolaan Penjualan, Keuangan dan Pencetakan Struk Raihan Aditya Drp; Jum Dapiokta; Anggraeni Agustin Muris
Jurnal SINTIKA (Jurnal Sistem Informasi, Teknik Informatika, dan Sistem Komputer) Vol. 2 No. 2 (2026): Jurnal Sintika
Publisher : Yasin Publisher (Yayasan Amal Sosial Islami Nahdliyin)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65359/sintika.2026.22.104

Abstract

The development of information technology has encouraged businesses to adopt digital systems to support more effective and integrated operational management. Cafe Satu Tiga still faces challenges in managing sales data, recording transactions, and preparing financial reports, which are carried out manually and may result in data errors and slower service processes. This study aims to design and develop a web-based cafe information system with multi-user role features for sales management, financial management, and automatic receipt printing. The system development method used was Rapid Application Development (RAD), while data were collected through observation, interviews, and literature review. The system was developed using the PHP programming language, MySQL database, and Bootstrap framework to support the system interface. Multi-user roles were implemented to differentiate access rights for administrators, cashiers, and cafe owners according to their respective responsibilities. The results show that the developed system can facilitate the management of product data, sales transactions, financial reports, and receipt printing more quickly, accurately, and systematically. Based on testing using the Black Box Testing method, all main system features operated according to user requirements, thereby improving operational efficiency at Cafe Satu Tiga.
Dashboard Monitoring Pengaduan Pelanggan Berbasis K-Means Clustering dan Moving Average Zuhri Azkar Wiratama; Eman Setiawan
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/ea6hx608

Abstract

The descriptive management of customer complaint data has made it difficult for the company to identify complaint patterns and forecast complaint trends as a basis for decision-making. This study aims to develop a Customer Complaint Monitoring Dashboard based on K-Means Clustering and Moving Average at PT Angkasa Pura Indonesia Site SUB. The data used consist of historical customer complaint records from January 2023 to September 2024. The K-Means Clustering method was applied to group service categories according to complaint priority levels, while the Moving Average method was used to forecast trends in the number of customer complaints. The results show that the optimal number of clusters selected using the Elbow Method was four clusters (K = 4). Evaluation using the Silhouette Score produced a value of 0.7228 for K = 4, indicating good clustering quality. In the forecasting process, the three-period Moving Average method, MA(3), achieved a Mean Absolute Percentage Error (MAPE) of 26.07% and was therefore selected as the best forecasting model. All analytical results were subsequently implemented in a Laravel-based monitoring dashboard capable of presenting information visually and interactively to support service monitoring and data-driven decision-making.
Sistem Monitoring dan Controlling Hidroponik Selada Berbasis IoT di Greenhouse Hortikultura Rini Yanti; Rabby Nazli; Ega Evinda Putri
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/sintika.2026.23.130

Abstract

Manually monitoring pH and Total Dissolved Solids (TDS) in hydroponic farming can slow down adjusting nutrient solution conditions. This study aimed to develop an IoT-based system for monitoring and controlling pH and TDS in hydroponic lettuce (Lactuca sativa L.) using the Nutrient Film Technique (NFT). The system was developed using the ADDIE method, which includes analysis, design, development, implementation, and evaluation stages. The system uses an ESP32 to process sensor data and send real-time measurements to an Android app while storing data online. Test results show the pH sensor has 95.74% accuracy with a 4.26% error, while the TDS sensor reached 93.74% accuracy with a 6.26% error. The system can automatically monitor, record data, and control nutrients based on TDS ranges according to plant age.
Integrasi Model Neural Network Berbasi Long Short-Term Memory (LSTM) Pada Sistem Smart Akuaponik Untuk Optimasi Pemberian Pakan Ikan Lele (Clarias Gariepinus) Faqihuddin Arrasyid; Hendra; Amrizal
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/aqv45q05

Abstract

Feeding is one of the key factors determining the success of catfish farming, as it directly affects fish growth, feed utilization efficiency, and the quality of the culture environment. This study aims to develop a Long Short-Term Memory (LSTM)-based feed requirement prediction model integrated into an Internet of Things (IoT)-based smart aquaponics system. The study adopts the CRISP-DM methodology, which consists of the stages of business understanding, data understanding, data preparation, modeling, evaluation, and implementation. Two models were developed: GrowthLSTM, which predicts the average fish weight, and PakanLSTM, which predicts feed requirements based on fish age, the number of fish, and the predicted fish weight. The evaluation results show that GrowthLSTM achieved an MAE of 2.3959 g, an RMSE of 3.4898 g, a MAPE of 3.19%, and an R² of 0.9962, while PakanLSTM achieved an MAE of 1.1034 g, an RMSE of 3.1447 g, a MAPE of 20.57%, and an R² of 0.9674. Both models were successfully integrated with an ESP32 through a REST API, enabling the system to perform automated feed prediction and dispensing to support more adaptive and efficient catfish farming.
Rancang Bangun Automasi Kandang Ayam Cerdas Menggunakan Mikrokontroler Untuk Optimasi Lingkungan Dan Kesehatan Ternak Fauzan Hidayatullah; Rabby Nazli; Widya Febrina
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/ctytkd97

Abstract

Manual management of broiler house environmental conditions has limitations in detecting microclimate changes rapidly and continuously. This study aims to develop a microcontroller-based smart broiler house automation system to support environmental optimization and livestock health. The study employed the Research and Development method using the ADDIE model, consisting of analysis, design, development, implementation, and evaluation. The system integrates an ESP32, DHT22 sensor, MQ135 sensor, and load cell with an Internet of Things (IoT)-based monitoring system. The results showed that the system maintained the temperature at 30–32 °C and controlled humidity within 68–78%. The DHT22 sensor achieved 99.81% accuracy with an error of 0.19%. The system also monitored air quality changes and feed availability and automatically controlled the actuators. The developed automation system effectively supports real-time monitoring and environmental control in broiler houses.
Rancang Bangun Warehouse Hybrid Wheel-Climbing Robot Berbasis Reinforcement Learning Deni Wisnu; Trinovita Zuhara Jingga; Perdana Putera
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/dhrqkk21

Abstract

The development of modern warehouse systems requires robots capable of autonomous navigation and obstacle traversal in operational environments. However, conventional wheeled robots still have limitations in overcoming small obstacles that can reduce their mobility. This study aims to design and develop a warehouse hybrid wheel-climbing robot based on Reinforcement Learning. The research employed the ADDIE (Analysis, Design, Development, Implementation, and Evaluation) method. The robot was developed using an Arduino Mega 2560, an HC-SR04 ultrasonic sensor, DC motors, and servo motors as the climbing mechanism. The experimental results showed a climbing success rate of 80%–90%, an average travel time of 18.80 s, an average speed of 13.87 cm/s, and an average climbing duration of 2.58 s. The implementation of Q-Learning  produced a simple navigation policy capable of selecting forward and turning actions based on environmental conditions. The results indicate that the integration of the climbing mechanism and Q-Learning  has the potential to improve the mobility of warehouse robots.
Rancang Bangun Sistem Monitoring pH dan Kelembapan Tanah Berbasis Internet of Things pada Tanaman Kelapa Sawit Dicky Hermawan; Jamaluddin; 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/t9vq9k07

Abstract

Oil palm (Elaeis guineensis Jacq.) is one of Indonesia's leading plantation commodities whose productivity depends on soil pH and moisture. This study aims to develop an Internet of Things (IoT)-based monitoring system capable of measuring soil pH and soil moisture in real time while providing fertilizer recommendations. The ADDIE model was adopted consisting of Analysis, Design, Development, Implementation, and Evaluation. The system integrates ESP32, soil pH sensor, soil moisture sensor, Firebase, and a Kodular-based Android application. Experimental results indicate that the proposed system performs real-time monitoring and provides fertilizer recommendations according to predefined rules.
Rancang Bangun Prototipe Sistem Monitoring Penggunaan Air PAMSIMAS Berbasis Smart Water Meter Menggunakan LoRa Anafis Al Ghani; Rabby Nazli; Jamaluddin
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: 10.65359/6rew7f55

Abstract

The main problem in the PAMSIMAS water management system is the continued use of manual recording methods, which may lead to recording errors, delayed information, and the absence of a real-time monitoring system. This study aims to design and develop an Internet of Things (IoT)-based water usage monitoring system using a flow sensor to measure water flow rate and volume, and a turbidity sensor to measure water turbidity. The data are processed using an ESP32 microcontroller and transmitted through a LoRa module to a gateway for display on a web-based monitoring dashboard. The test results show that the LoRa RA-02 communication system achieves an optimal range of approximately 250–300 meters under line-of-sight (LOS) conditions in open areas, but its performance decreases in environments with physical obstacles. Thirteen flow sensor tests resulted in an average error of 1.44%, corresponding to an accuracy of 98.56%, which is below the commonly used tolerance limit of 5%. Meanwhile, the turbidity sensor was able to detect water quality effectively, with test readings of 45.06 NTU (very clear) and 315.02 NTU (turbid), and was able to classify water conditions according to the applicable Indonesian Ministry of Health standards. Based on these results, the developed system is capable of monitoring water usage and quality in real time with adequate accuracy and efficiency. The system is expected to assist PAMSIMAS managers in improving the efficiency, transparency, and quality of clean water distribution services to the community.
Rancang Bangun Training Kit Robot Arm Berbasis Arduino Menggunakan Flex Sensor Muhammad Kadhafi Al Khoiri Harahap; Trinovita Zuhara Jingga; Hendra
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/sintika.2026.23.141

Abstract

Robotics learning requires a training medium that integrates mechanical design, sensors, actuators, and microcontroller programming. This study aimed to design and build an Arduino-based robot arm training kit using flex sensors. The research used a Research and Development approach with the ADDIE model. The initial mechanical model was adapted and modified in SolidWorks, fabricated by PLA-based three-dimensional printing, and integrated with an Arduino Mega, three flex sensors, one joystick, and four servo motors. Testing included flex-sensor characterization, servo-position accuracy, integrated functional testing, a pick-and-place task, and user evaluation. The fabrication required 462.65 g of filament and 15 h 3 min of printing. The flex sensors produced distinguishable ADC values at each reference position. The four actuators had an overall mean error of 2.28%. All six integrated functions operated successfully. The pick-and-place test achieved a 70% success rate with a mean successful completion time of 25.63 s, while user evaluation reached 88.22%, categorized as very good. The developed system can be used as a basic robotics training kit.

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