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Riau Jurnal Teknik Informatika
Published by Universitas Pasir Pengaraian
ISSN : -     EISSN : 28292529     DOI : https://doi.org/10.30606/rjti.v1i1
Core Subject : Science,
Computer Science & IT
Riau Jurnal Teknik Informatika dimaksudkan sebagai media kajian ilmiah hasil penelitian, pemikiran dan kajian analisis-kritis mengenai penelitian bidang ilmu komputer dan teknologi. Sebagai bagian dari semangat menyebarluaskan ilmu pengetahuan hasil dari penelitian dan pemikiran untuk pengabdian pada Masyarakat luas dan sebagai sumber referensi akademisi di bidang Ilmu Komputer dan Teknologi. Riau Jurnal Teknik Informatika menerima artikel ilmiah dengan lingkup penelitian pada: Rekayasa Perangkat Lunak Rekayasa Perangkat Keras Keamanan Informasi Rekayasa Sistem Sistem Pakar Sistem Penunjang Keputusan Data Mining Sistem Kecerdasan Buatan Jaringan Komputer Teknik Komputer Pengolahan Citra Algoritma Genetik Sistem Informasi Business Intelligence and Knowledge Management Database System Big Data Internet of Things Enterprise Computing Machine Learning Topik kajian lainnya yang relevan
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 175 Documents
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Analisis Pelanggaran Disiplin dan Kode Etik Anggota Polri Menggunakan Decision Tree C4.5 Fahriyadi Purnama Thaib; Frangky Tupamahu; Alter Lasarudin; Hilmansyah Gani
Riau Jurnal Teknik Informatika Vol. 5 No. 2 (2026): Juli 2026
Publisher : Prodi Teknik Informatika Universitas Pasir Pengaraian

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30606/rjti.v5i2.4711

Abstract

Disciplinary and ethical violations committed by police officers can affect organizational professionalism and reduce public trust in law enforcement institutions. The management of violation records at Polresta Gorontalo Kota remains largely administrative, making it difficult to identify violation patterns and support data-driven decision-making. This study aims to analyze disciplinary and ethical violation data using the Decision Tree C4.5 algorithm to develop a classification model and decision rules. The dataset consists of police disciplinary and ethical violation records collected between 2022 and 2026. The results indicate that the violation category attribute serves as the root node of the decision tree, with the highest Gain Ratio value of 0.694. The resulting model successfully classifies violations into three sanction levels—minor, moderate, and severe—while generating interpretable decision rules. Model evaluation using a confusion matrix achieved an accuracy of 70.8%. The findings demonstrate that the C4.5 algorithm is capable of identifying patterns between violation types and sanction levels, indicating its potential as a decision-support tool for managing disciplinary and ethical violations within the Indonesian National Police.
Perancangan Sistem Monitoring dan Kontrol Otomatis Greenhouse Hidroponik Berbasis IoT Aqhilah Astri; Gladys Maria; Muhammad Junaidi; Aqillah Meilika Putri; Verdi Riskiandi; Jihan Shona Zehran
Riau Jurnal Teknik Informatika Vol. 5 No. 2 (2026): Juli 2026
Publisher : Prodi Teknik Informatika Universitas Pasir Pengaraian

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30606/rjti.v5i2.4712

Abstract

The development of the Internet of Things (IoT) has encouraged the adoption of technology in the agricultural sector, particularly in hydroponic greenhouse systems. Manual control of temperature, humidity, light intensity, and other environmental conditions often reduces the effectiveness of crop cultivation. This study presents the design of an IoT-based hydroponic greenhouse monitoring and automatic control system. The research method consisted of a literature review, system requirements analysis, and the design of both hardware and software components. The proposed system employs an Arduino Uno as the main microcontroller, environmental sensors to monitor greenhouse conditions, and an ESP8266 module for data communication via the Internet. The design results include the hardware architecture, software workflow, and an automatic monitoring and control mechanism that enables real-time environmental data to be displayed through an Android application. The proposed system design is expected to serve as a reference for the future development and implementation of IoT-based smart hydroponic greenhouse systems.
Usability Sistem Informasi Aparatur Sipil Negara (SIASN) Menggunakan Metode System Usability Scale (SUS) pada BKPSDM Kabupaten Gorontalo Arifin Ahudulu; Alter Lasarudin; Frangky Tupamahu; Hilmansyah Gani
Riau Jurnal Teknik Informatika Vol. 5 No. 2 (2026): Juli 2026
Publisher : Prodi Teknik Informatika Universitas Pasir Pengaraian

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30606/rjti.v5i2.4713

Abstract

The acceleration of digital transformation in the public sector requires reliable personnel information systems to support efficient and integrated administrative services. The State Civil Apparatus Information System (SIASN) serves as a national platform for managing personnel data and administrative processes of civil servants in Indonesia. However, its implementation at the Regional Civil Service and Human Resource Development Agency (BKPSDM) of Gorontalo Regency still faces several technical and usability-related challenges that may affect user experience and service effectiveness. This study aims to identify user constraints, measure the usability level of SIASN, and provide recommendations for system improvement. A quantitative descriptive approach was employed through data collection using questionnaires, in-depth interviews, and field observations. The study involved 30 active SIASN users, and usability data were analyzed using the System Usability Scale (SUS) instrument. The results indicate that the main obstacles experienced by users include data storage failures, slow system access during peak hours, data updates that have not taken place in real-time, complexity of menu navigation, and limitations of account recovery features. The results of the usability measurement resulted in an average SUS score of 76.4 which is included in the Good category with an Acceptable acceptance rate. These findings show that SIASN is able to support personnel administration activities well and is accepted by users. However, improving the quality of the system is still necessary through optimizing server performance, simplifying the user interface, synchronizing data in real-time, and developing a password reset feature independently. The results of this research are expected to be evaluation materials for developers to improve the quality of digital-based personnel services.
Klasifikasi Pegawai Terbaik Triwulan pada BPS Provinsi Gorontalo Menggunakan Algoritma Naïve Bayes Hanna Fidri Mardiny; Frangky Tupamahu; Hilmansyah Gani; Khairul Fathan Habie
Riau Jurnal Teknik Informatika Vol. 5 No. 2 (2026): Juli 2026
Publisher : Prodi Teknik Informatika Universitas Pasir Pengaraian

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30606/rjti.v5i2.4714

Abstract

The selection of the best employee is an important performance evaluation process aimed at improving employee motivation and productivity. At the Statistics Indonesia (BPS) of Gorontalo Province, the selection process still involves subjective considerations, which may affect the consistency and objectivity of decision-making. Therefore, a data-driven approach is needed to support the evaluation process. This study aimed to implement the Naïve Bayes algorithm to classify the best quarterly employee based on employee performance assessment data. The dataset consisted of performance records from 54 employees of BPS Gorontalo Province collected from the first quarter of 2023 to the fourth quarter of 2024. The classification process utilized BerAKHLAK behavioral indicators, discipline indicators, and Employee Performance Achievement (CKP) as predictor variables, while the target variable was employee status, namely best employee and non-best employee. The research stages included data preparation, data transformation, training and testing data partitioning, model development using the Naïve Bayes algorithm, and model evaluation using a confusion matrix with accuracy, precision, recall, and F1-score metrics. The evaluation results showed that the proposed model achieved an accuracy, precision, recall, and F1-score of 100%, indicating high classification performance on the dataset used in this study. These findings demonstrate that the Naïve Bayes algorithm is effective in classifying employee performance and can be utilized as a decision-support tool for determining the best quarterly employee. The implementation of this method is expected to enhance the objectivity, consistency, and transparency of employee performance evaluation at Statistics Indonesia (BPS) of Gorontalo Province.
Sistem Pakar Diagnosis Penyakit Penyebab Abortus Pada Ibu Hamil Menggunakan Metode Certainty Factor Berbasis-Web Adebunda Jessica; Yoseph Pius Kurniawan Kelen; Hevi Herlina Ullu
Riau Jurnal Teknik Informatika Vol. 5 No. 2 (2026): Juli 2026
Publisher : Prodi Teknik Informatika Universitas Pasir Pengaraian

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30606/rjti.v5i2.4717

Abstract

Abortion can be caused by various diseases and are often not recognized at an early stage, posing serious risks to both pregnant women and their fetuses. Limited public knowledge about the early symptoms of abortion may delay apropriate medical treatment. This study aims to develop a web-based expert system to support the early consultation and diagnosis of abortion in pregnant women. The system applies the certainty factor (CF) method to calculate the confidance level of the diagnosis based on the symptoms selected by the user and the confidance values provided by medical expert. The knowledge base consists of disease data, symptoms data, Measure of belief (MB) and Measure of Disbelief (MD) values, as well as diagnostic rules obtained through expert interviews and literature review. The results show that the proposed system is capable of permorming the diagnistic process and presenting the confidance percentage for the identified disease. Funcional testing using the Black Box Testing method confirmed that all system features operated as intended. Furthmore, validation using 50 test cases compared with expert diagnoses achieved an accuracy rate of 90%. These findings indicate that the Certainty Factor method can produce diagnostic result that closely match expert judgments, making the system suitable as an initial consultation tool to assist in identifying deseases that may cause abortion in pregnant women.
Perancangan Sistem Smart Farming Berbasis Internet of Things (IoT) Menggunakan Node-Mcu Dan Sensor Suhu Pada Peternakan Ayam Gibran Farm Azzahro Nurhabibah; Ahmad Aftah Syukron
Riau Jurnal Teknik Informatika Vol. 5 No. 2 (2026): Juli 2026
Publisher : Prodi Teknik Informatika Universitas Pasir Pengaraian

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30606/rjti.v5i2.4721

Abstract

Laying hen farming is a business sector that requires optimal management of the coop environment to support the health and productivity of the chickens. This study aims to design an Internet of Things (IoT)-based automatic lighting system for laying hen houses at Gibran Farm using a NodeMCU ESP32 and a DHT22 sensor. The main problem in the farm is the manual operation of the cage lights, resulting in unstable cage temperatures and impacting chicken productivity. The research methods include observation, system design, tool assembly, programming, and testing. The system works by detecting the cage temperature in real time through a DHT22 sensor, then the NodeMCU ESP32 automatically controls the lights according to predetermined temperature limits. The results show that the system is able to monitor temperature and control cage lighting effectively. This system also helps maintain stable cage temperatures and increases the efficiency of electrical energy use.
Evaluasi Tingkat Kematangan Tata Kelola Layanan TI pada UPA-TIK Universitas Sam Ratulangi Menggunakan Framework ITIL 4 Rafael Rivelino Lalujan; Sherwin R.U.A. Sompie; Steven Ray Sentinuwo
Riau Jurnal Teknik Informatika Vol. 5 No. 2 (2026): Juli 2026
Publisher : Prodi Teknik Informatika Universitas Pasir Pengaraian

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30606/rjti.v5i2.4736

Abstract

Information Technology (IT) governance plays a vital role in ensuring the alignment between IT services and institutional objectives. This study aims to evaluate the maturity level of IT governance at the Information and Communication Technology Support Unit (UPA-TIK) of Sam Ratulangi University using the ITIL 4 framework. The evaluation was conducted across 16 ITIL 4 management practices using a mixed-methods approach, combining quantitative surveys, qualitative interviews, and document validation. The findings indicate that 15 practices achieved Maturity Level 3 (Defined), while one practice, namely Continual Improvement, reached Level 4 (Managed). Gap analysis based on the Four Dimensions of Service Management revealed that the limited adoption of a centralized Information Technology Service Management (ITSM) system, reliance on informal communication channels such as WhatsApp for incident reporting, inconsistent operational documentation, and high dependency on vendors for hardware recovery are the primary factors hindering maturity improvement. Based on these findings, this study proposes a strategic implementation roadmap aligned with the five Digital Transformation Strategic Programs (PSTD) of Sam Ratulangi University for the 2024–2028 period. The study contributes by providing a more evidence-based foundation for strategic decision-making in IT governance and IT service management, thereby supporting service quality improvement and accelerating the university's digital transformation initiatives.
Pendeteksi Penyakit Daun Kentang Menggunakan Algoritma Convolutional Neural Network (CNN) Arvi Pramudyantoro; Muhamad Kurniawan; Hendi Hendra Bayu
Riau Jurnal Teknik Informatika Vol. 5 No. 2 (2026): Juli 2026
Publisher : Prodi Teknik Informatika Universitas Pasir Pengaraian

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30606/rjti.v5i2.4740

Abstract

Potato leaf disease is one of the main problems in potato cultivation because it can reduce plant quality, decrease crop yield, and cause economic losses for farmers. Manual disease detection still has limitations because it depends on farmers’ experience and is prone to errors, especially when disease symptoms have similar visual characteristics. This study aims to apply the Convolutional Neural Network (CNN) algorithm to predict potato leaf diseases based on digital images. The dataset used in this study was obtained from Kaggle and consisted of 1,500 potato leaf images divided into three classes: healthy leaves, early blight, and late blight. The research stages included dataset collection, data splitting into training, testing, and validation data, CNN modeling using Jupyter Notebook, model training with 50 epochs, model evaluation using a Confusion Matrix, and model implementation into a web-based system using Flask. The test results show that the CNN model was able to classify potato leaf diseases with an accuracy of 97%. These results indicate that CNN is effective in recognizing visual patterns in potato leaf images, such as color changes, spots, and leaf damage. This study is expected to serve as a basis for developing an early detection system for potato leaf diseases that is faster, more accurate, and easier for farmers to use.
Otomatisasi Monitoring Stok Logistik Terdistribusi Berbasis Rapid Application Development, GAS, dan Telegram Bot Wahyu Setianto Dwi Aji; Asri Samsiar Ilmananda
Riau Jurnal Teknik Informatika Vol. 5 No. 2 (2026): Juli 2026
Publisher : Prodi Teknik Informatika Universitas Pasir Pengaraian

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30606/rjti.v5i2.4741

Abstract

Daily logistics reporting latency on an H+1 scale across 24 active warehouses at PT Telkom Akses Area Malang triggers the risk of delayed Network Terminal Equipment (NTE) device installations at customers' homes due to stock shortage (understock) constraints, as well as storage space inefficiency caused by asset accumulation (overstock). This condition stems from conventional workflows where warehouse admins must manually recapitulate data using passive spreadsheets. This study aims to transform this manual mechanism into a real-time automated monitoring system using the Rapid Application Development (RAD) method. The developed system integrates Google Apps Script (GAS) technology as a cloud-based computational logic hub and the Telegram Bot API as an automated notification gateway to the managerial coordination group. Inventory control is autonomously managed by a two-way control logic based on Safety Stock (SS) and Maximum Stock (Smax) parameters to monitor 8,256 units of active ONT devices. Implementation results demonstrate that this automation successfully reduces the latency of sending critical stock reports from a daily scale to under 5 seconds with a 0% error rate (zero-error rate). The main contribution of this research is providing proactive stock visibility for warehouse admins, eliminating the risk of human error due to manual input processes, and accelerating strategic decision-making in the Supply Chain division of PT Telkom Akses Area Malang to maintain service sustainability for customers.
Pengembangan E-Katalog Berbasis Web untuk Digitalisasi Pemasaran Kerajinan Ulos dan Gorga Sumatera Utara pada UMKM Dedi Leman; Maulia Rahman; Basorudin Basorudin
Riau Jurnal Teknik Informatika Vol. 5 No. 2 (2026): Juli 2026
Publisher : Prodi Teknik Informatika Universitas Pasir Pengaraian

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30606/rjti.v5i2.4747

Abstract

Traditional handicrafts such as ulos and gorga are important cultural assets of North Sumatra, yet the micro, small, and medium enterprises (MSMEs) that produce them still rely on conventional, face-to-face marketing that limits market reach and slows the regeneration of younger artisans. This study designs and builds a web-based electronic catalog (e-catalog) for ulos and gorga handicraft MSMEs to widen market access while preserving the cultural narrative behind each motif. The system was developed with the Waterfall method, covering requirement analysis, design, implementation, and testing. Requirements were gathered through interviews with three MSME partners and a review of related e-catalog studies. The system was built with the PHP CodeIgniter framework and a MySQL database, providing product catalog management, cultural-story content for each motif, an order-inquiry feature linked to WhatsApp, and an administrator dashboard. Black-box testing on 30 scenarios showed a 100% success rate, and a System Usability Scale (SUS) survey of 20 respondents produced an average score of 82.8, categorized as “Good to Excellent.” The e-catalog improves product visibility, shortens the distance between artisans and consumers, and supports preservation of ulos and gorga cultural knowledge alongside MSME economic empowerment. Specifically, the system strengthens the marketing competitiveness of partner MSMEs by replacing scattered, unstructured promotion through personal WhatsApp status and word of mouth with a single organized digital channel that presents product information and cultural narrative together, giving early indications of more effective and wider-reaching marketing communication for artisan groups that previously depended on face-to-face sales.

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