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Jurnal Ilmiah Betrik : Besemah Teknologi Informasi dan Komputer
Published by Institut Teknologi Pagar Alam
ISSN : 23391871     EISSN : 27157369     DOI : https://doi.org/10.36050/betrik.v10i03
Core Subject : Science,
Computer Science & IT
Besemah Teknologi Informasi dan Komputer (BETRIK) is a national journal published by Pusat Penelitian dan Pengabdian kepada Masyarakat (P3M), Institut Teknologi Pagar Alam (ITPA). This scientific work was published in 3 editions, with topics related to Computers, Technology, and Science. Topics related to this field can be information systems, informatics, computer science, IT business, IT Governance, enterprise architecture planning, software engineering, modeling and simulation, Data Mining, Artificial Neural Network, Digital Image Processing, Algorithm and Programming, Internet of Things (IoT), artificial intelligence, information security, social networking, cloud computing, science, engineering and related topics. The Scientific Journal BETRIK is a peer journal -National review dedicated to the exchange of high-quality research results in all aspects of education and teaching. This journal publishes the latest works in basic theory, experiments and simulations, as well as applications, with systematically proposed methods, adequate reviews of previous works, extended discussions and conclusions. As our commitment to the advancement of education and teaching, the BETRIK Journal follows an open access policy that allows published articles to be available online for free without subscribing.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 239 Documents
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Integrasi Sistem Akuaponik IoT Dengan Aplikasi Mobile Untuk Pemantauan Jarak Jauh Aulia Sabila; Dwi Jaka Pratama; Febry Yansha; Indra Dwisaputra; Sidhiq Andriyanto
BETRIK Vol. 16 No. 03 (2025): Jurnal Ilmiah BETRIK : Besemah Teknologi Informasi dan Komputer
Publisher : PPPM Institut Teknologi Pagar Alam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36050/t1dabj51

Abstract

The 79.93% growth of the urban population and the decline of agricultural land in Indonesia demand efficient, sustainable agricultural solutions. Aquaponics systems traditionally require intensive manual monitoring of environmental parameters such as pH, temperature, and nutrient levels, which is impractical for time-constrained urban farming. Conventional approaches face several constraints, including delayed detection of critical parameter changes, the risk of human error in manual sensor readings, inconsistent maintenance schedules, and the mobility limitations of users who must always be physically present on-site. This research aims to design and implement an integrated Internet of Things (IoT)-based aquaponics system with an Android mobile application as a solution to overcome these limitations through real-time remote monitoring and control. The Extreme Programming (XP) method was used to support rapid iteration and active user involvement in system development. The system was built using pH, temperature, nutrient, and water level sensors, along with an automatic fish feeder, connected to an Arduino Mega and ESP32. Data is transmitted to Firebase and displayed via a Kotlin-based Android application. Black-box testing confirmed the system's 100% validity for all functions (login, real-time monitoring, actuator control, and history). Sensor accuracy testing showed success rates between 94.40% and 99.54%, proving the system operates stably and accurately for remote monitoring, making it an innovative, digitally-managed aquaponics solution that successfully addresses all limitations of conventional systems
Model Matematika Hibrida Lexicon–Harris Hawks Optimization untuk Analisis Sentimen Ulasan Produk Shopee Miftahul Falah; Yesinta Florensia; Dewi Sartika
BETRIK Vol. 16 No. 03 (2025): Jurnal Ilmiah BETRIK : Besemah Teknologi Informasi dan Komputer
Publisher : PPPM Institut Teknologi Pagar Alam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36050/h239eh92

Abstract

This research presents a hybrid Lexicon–Harris Hawks Optimization (HHO) mathematical model designed to improve sentiment analysis performance on Shopee product reviews. The rapid growth of e-commerce platforms has resulted in a large volume of user-generated content, making accurate sentiment classification essential for understanding customer opinions. Traditional lexicon-based methods are simple and interpretable but often limited by static sentiment scores that fail to capture contextual nuances in real-world review data. To overcome these limitations, this study integrates a lexicon-based scoring approach with HHO to dynamically optimize sentiment weights and enhance classification accuracy. The proposed method involves four main stages: data preprocessing, baseline lexicon-based sentiment scoring, lexicon weight optimization using HHO, and final sentiment classification. HHO is employed to search for optimal lexicon weight configurations through exploration and exploitation mechanisms modeled after the cooperative hunting behavior of Harris hawks. The optimized weights are then applied to recalculate sentiment scores and classify reviews into positive, negative, or neutral categories. Performance is evaluated using accuracy, precision, recall, and F1-score. Experimental results show that the hybrid model significantly outperforms the baseline lexicon method, achieving near-perfect classification performance. The confusion matrix reveals extremely low misclassification rates, while evaluation metrics exceed 90% across all categories. The convergence curve further demonstrates stable and efficient optimization behavior. Analysis of sentiment score outputs indicates improved sensitivity for both positive and negative expressions, as well as more accurate representation of reviewer intent.
Perencanaan Strategis TI Di Dinas Ketahanan Pangan Dan Pertanian Palembang Menggunakan Metode Ward & Peppard Muhammad Akbar; Dicky Pratama
BETRIK Vol. 16 No. 03 (2025): Jurnal Ilmiah BETRIK : Besemah Teknologi Informasi dan Komputer
Publisher : PPPM Institut Teknologi Pagar Alam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36050/z1xbnd32

Abstract

The development of information technology has become a crucial element in enhancing governance efficiency and improving public service quality, particularly within the Palembang City Food Security and Agriculture Office (DKPP), which plays a strategic role in ensuring regional food stability. However, evaluation results indicate that the utilization of information systems within DKPP remains suboptimal, especially in integrating food data, digitizing operational processes, and supporting data-driven decision-making. This study aims to formulate a strategic Information Systems and Information Technology (IS/IT) plan aligned with organizational needs using the Ward and Peppard framework. Data collection was conducted through observation, interviews, and document analysis. The assessment of internal conditions was carried out using the Value Chain model, while external factors were examined through PESTEL analysis. The findings were then synthesized using SWOT analysis and Critical Success Factor (CSF) identification to determine strategic priorities. The study recommends the development of an integrated Food and Agriculture Information System as the core platform to unify food price data, food balance sheets, smart farming initiatives, food distribution processes, and food safety monitoring. Furthermore, a future application portfolio was formulated using the McFarlan Strategic Grid, accompanied by a five-year implementation roadmap to guide progressive IS/IT development. The resulting strategic plan is expected to strengthen DKPP’s digital ecosystem, improve operational efficiency, and support more accurate and responsive decision-making in addressing regional food security challenges.
Perencanaan Strategis SI/TI pada Kesbangpol Prov.Sumsel Dyon Fillipo; Dicky Pratama
BETRIK Vol. 16 No. 03 (2025): Jurnal Ilmiah BETRIK : Besemah Teknologi Informasi dan Komputer
Publisher : PPPM Institut Teknologi Pagar Alam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36050/0s2vkr82

Abstract

The rapid advancement of Information and Communication Technology has encouraged government institutions to implement Information Systems/Information Technology (IS/IT) that align with organizational objectives. Nevertheless, the current IS/IT utilization at the National Unity and Politics Agency (Kesbangpol) of South Sumatra Province remains constrained by system–business process misalignment, limited cross-departmental data integration, and the absence of a coherent IS/IT strategic plan. This study aims to formulate a comprehensive IS/IT strategic plan to guide the medium- and long-term development of Kesbangpol’s public services. The Ward and Peppard methodology was employed within a descriptive qualitative case-study design. Data were collected through field observations, reviews of the 2024–2028 Strategic Plan and standard operating procedures, interviews, and relevant literature. Internal business environment analysis used the Value Chain framework to identify organizational strengths and weaknesses, while external analysis applied PESTEL to map strategic opportunities and threats. These findings were synthesized through SWOT to derive SO, WO, ST, and WT strategic alternatives, which were subsequently translated into Critical Success Factors as prerequisites for effective implementation. Application development priorities were determined using the McFarlan Strategic Grid. The study recommends a prioritized IS/IT portfolio, including an Integrated Kesbangpol Information System, an Integrated and Verified Civil Society Organization Database, an Early Warning System for conflict and radicalism, a Digital Political Education Platform, and an internal Knowledge Management System. This strategic design is expected to enhance coordination effectiveness, improve data-driven service quality, and strengthen regional socio-political resilience in a sustainable manner
Perencanaan Strategis TI pada BMKG Palembang Menggunakan Metode Ward and Peppard Kenny Lie; Dicky Pratama
BETRIK Vol. 16 No. 03 (2025): Jurnal Ilmiah BETRIK : Besemah Teknologi Informasi dan Komputer
Publisher : PPPM Institut Teknologi Pagar Alam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36050/f4xh1772

Abstract

This study designs a strategic planning for Information Systems and Information Technology (IS/IT) to improve IT infrastructure optimization at the Sultan Mahmud Badaruddin II Meteorological Station in Palembang using the Ward & Peppard framework. Internal and external environmental analysis is conducted through Value Chain, SWOT, McFarlan Strategic Grid, PEST, and identification of critical success factors to generate an application portfolio and prioritize IT initiatives. The findings indicate that BMKG SMB II has quite robust observation tools, such as radar and automatic weather stations, but still faces challenges in data integration, digitalization of observation processes, IT human resource capacity, and network limitations, especially in frontier, outermost, and disadvantaged areas. Strategic recommendations include the development of an integrated data and analytics platform with an AI-based quality control mechanism, automation of information collection, validation, and dissemination processes, strengthening cybersecurity and infrastructure resilience through IoT-based predictive maintenance, and improving human resource competencies. The 2025–2029 Roadmap prioritizes strengthening security, data integration, and human resource development before the gradual implementation of advanced technologies through pilots, evaluations, and expansions to support improved public service quality.
Perencanaan Strategis SI/TI Pada BP3MI Sumatera Selatan Menggunakan Ward And Peppard Tria Nanda Mughny; Dicky Pratama
BETRIK Vol. 16 No. 03 (2025): Jurnal Ilmiah BETRIK : Besemah Teknologi Informasi dan Komputer
Publisher : PPPM Institut Teknologi Pagar Alam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36050/6ahs9711

Abstract

The utilization of Information Systems and Information Technology (IS/IT) is a strategic necessity for BP3MI South Sumatra to enhance the effectiveness of placement and protection services for Indonesian Migrant Workers (PMI). However, the integration of existing systems such as SIDABIT, TNDE, E-KIN, SPBW, and SISKO remains suboptimal, several processes are still performed manually, and no strategic IS/IT planning document is available as a foundation for long-term development. These conditions highlight the urgency for BP3MI to establish a structured strategic direction for IS/IT utilization that aligns with service needs. This study employs the Ward and Peppard methodology through Value Chain, PEST, SWOT, and Critical Success Factors analyses to identify the current organizational condition and formulate the required strategies. The study produces several key outputs, including a strategic IS/IT planning model consisting of Information System strategy, Information Technology strategy, and IS/IT management strategy, as well as a portfolio of prioritized applications such as SIDABIT Enhanced, Customer Relationship Management (CRM) for PMI, an IoT-based PMI Monitoring System, and an AI/Blockchain-based Document Verification System. It also provides an application contribution mapping using the McFarlan Strategic Grid and a five-year IS/IT development roadmap to guide phased implementation. The analysis further shows that BP3MI possesses strengths in service infrastructure and available central systems but still faces weaknesses such as limited system integration and human resource constraints, along with external threats including human trafficking, overcharging practices, regulatory changes, and data security risks. This study has limitations related to the dominance of qualitative data, restricted access to some technical information, and the absence of system testing, thereby requiring further research to validate implementation effectiveness.
Algoritma Apriori untuk Menganalisis Pola Pembelian Pelanggan (Studi Kasus: Cafe dan Restaurant XYZ) Michelle Graciela; Desi Pibriana
BETRIK Vol. 16 No. 03 (2025): Jurnal Ilmiah BETRIK : Besemah Teknologi Informasi dan Komputer
Publisher : PPPM Institut Teknologi Pagar Alam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36050/e9w67j28

Abstract

XYZ is a cafe and restaurant engaged in the culinary field and currently often offers bundling packages to its customers. However, from the interview results it is clear that the bundling packages currently offered are not sufficient to increase sales. For this reason, it is necessary to analyze customer purchasing patterns with the Apriori algorithm to help increase sales at XYZ Cafe and Restaurant. The process of implementing the Apriori algorithm is carried out using the CRISP-DM method which consists of six stages, namely business understanding, data understanding, data preparation, modeling, evaluation, and dissemination. This algorithm is used to generate association rules that can be used as a basis for designing promotional strategies, preparing bundling packages and menu placement. Based on the results of the analysis conducted using Google Colab, the combination of items with the highest confidence and lift values was found, namely between Pekcamkee Chicken ½ Tail and Hainam Rice with a confidence of 57.14% and a lift of 17.44. The results were then visualized in the form of a dashboard built using the PHP programming language with a MySQL database to make it easier for users to understand. It can be concluded that the application of data mining can help Cafe and Restaurant XYZ find relevant customer purchasing patterns so that it can support data-based decision making
Perancangan Sistem Antrian Pasien Klinik Berorientasi Pengalaman Pengguna Dengan Metode Design Thinking Muhammad Furqan Nazuli; rudiansyah; Athaillah Tri Naufaldo
BETRIK Vol. 16 No. 03 (2025): Jurnal Ilmiah BETRIK : Besemah Teknologi Informasi dan Komputer
Publisher : PPPM Institut Teknologi Pagar Alam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36050/sag5d523

Abstract

This study aims to design a patient queuing system in a clinic that is oriented towards user experience using the Design Thinking method. The main problems identified include long waiting times, unclear queue status information, and high administrative workload due to manual management. The Design Thinking approach is applied through five iterative stages: empathize, define, ideate, prototype, and testing. Based on the analysis of user needs for information transparency and ease of access, a web-based system prototype was developed with the main features of online registration without logging in, waiting time estimation, and real-time queue monitoring. The system evaluation involved 15 respondents using the System Usability Scale (SUS) instrument and resulted in an average score of 82.83, which is included in the Excellent (Grade A) category. This study provides practical contributions in the form of solutions for operational efficiency and transparency of clinical services, and provides academic contributions by enriching the health informatics literature regarding the effectiveness of implementing Human-Centered Design in overcoming barriers to technology adoption in primary healthcare facilities with limited resources.
Sistem Informasi Geografis (SIG) Pemetaan Wilayah Transmigrasi Dinas Tenaga Kerja Dan Transmigrasi Provinsi Sumatera Selatan Irman Effendy; Dinda fahmilia
BETRIK Vol. 16 No. 03 (2025): Jurnal Ilmiah BETRIK : Besemah Teknologi Informasi dan Komputer
Publisher : PPPM Institut Teknologi Pagar Alam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36050/sv4kwf84

Abstract

This study develops a web-based Geographic Information System (GIS) for mapping transmigration areas at the Manpower and Transmigration Office of South Sumatra Province. The main problem addressed is manual, unintegrated data management with limited spatial visualization. An applied research approach using the Waterfall development model was employed. The system was built using PHP, MySQL, and Leaflet.js. The results show that the system improves data management efficiency, accelerates reporting, and supports spatial data–based decision making. The novelty of this study lies in the integration of spatial and non-spatial transmigration data into a centralized WebGIS equipped with automated reporting and transparent information access at the regional government level. The system was validated through functional testing and user evaluation and is considered suitable for implementation.
ANALISIS KOMPARASI ALGORITMA K-NEAREST NEIGHBOR DAN SUPPORT VECTOR MACHINE DENGAN PENDEKATAN MULTI DATASET Julyan Adi Saputra; Syaeful Anas Aklani
BETRIK Vol. 13 No. 03 (2022): Jurnal Ilmiah BETRIK : Besemah Teknologi Informasi dan Komputer
Publisher : PPPM Institut Teknologi Pagar Alam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36050/zg2znf05

Abstract

Data mining is a process of identifying data that is valid and has the potential to be useful to the person who did it. One of the purposes of data mining is to study previously existing data that composes certain patterns and is used to make predictions. Machine learning works by utilizing data and algorithms to create models with patterns from the data set. There are many algorithms that can be used, such as C4.5, K-Means, Support Vector Machine (SVM), K-Nearest Neighbor (K-NN), Naïve Bayes, and others. Since there are many algorithms in data mining, each has its own advantages and disadvantages. This research will focus on the comparison between the Support Vector Machine algorithm and the K-Nearest Neighbor algorithm in terms of accuracy, precision and processing time.

Page 21 of 24 | Total Record : 239

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