Jurnal Publikasi Teknik Informatika ISSN: 2808-9367 (cetak), ISSN: 2808-8972 (online) diterbitkan oleh Pusat Riset dan Inovasi Nasional dan terbit 3 kali dalam setahun pada bulan Januari Mei dan September. JUPTI memuat naskah hasil-hasil penelitian di bidang Teknik Informatika, Teknik Komputer, Teknik Elektro.Jurnal ini terakreditasi SINTA 5 (Surat Keputusan Direktur Jenderal Pendidikan Tinggi, Riset, dan Teknologi Nomor 10/C/C3/DT.05.00/2025 tanggal 21 Maret 2025 tentang Peringkat Akreditasi Jurnal Ilmiah Periode I Tahun 2025) dimulai dari Volume 1 Nomor 2 Tahun 2022 sampai Volume 6 Nomor 1 Tahun 2027. JUPTI berkomitmen untuk memuat artikel berbahasa Indonesia yang berkualitas dan dapat menjadi rujukan utama para peneliti dalam bidang ilmu Teknik Informatika, Teknik Komputer, Teknik Elektro Indexed by : Journal Sponsors and Partners :
Aplikasi Sistem Informasi Tenaga Kerja Bongkar Muat Menggunakan Metode Extreme Programming
This research aims to design and build a stevedoring workforce information system (TKBM) application using the Extreme Programming method. Currently, the process of recording attendance, scheduling, and assigning tasks is still done manually, which often results in errors and administrative delays. The application was developed using the Flutter framework using the Dart language and a MySQL database, to replace conventional paper-based and spreadsheetbased methods that are inefficient. This system makes it easier for officers to record attendance, manage payslips, and convey information about ships that will dock. Using the Extreme Programming approach, development was carried out iteratively and responsive to user needs. Test results show that the application improves work efficiency, reduces recording errors, and speeds up the TKBM administrative process. It is expected that this system can improve port operations more organized and encourage a significant increase in workforce productivity.
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Sistem Pakar Diagnosa Penyakit Gigi Menggunakan Metode Forward Chaining Dengan Probabilitas Teorema Bayes
Dental diseases often go undetected in their early stages due to low public awareness and limited access to healthcare services. This study aims to develop a web-based expert system capable of performing early self-diagnosis of dental diseases. The system utilizes the Forward Chaining method to match symptoms with predefined rules in the knowledge base, and applies Bayes' Theorem to calculate the probability and confidence level of each possible diagnosis. The system was developed using the PHP Laravel framework and MySQL database. System evaluation was conducted through black-box testing to verify functionality, and accuracy testing by comparing system results with expert diagnoses. The testing results showed an accuracy rate of 90%, with a precision of 91%, recall of 89%, and F1-score of 90%. These findings demonstrate that the system provides reliable and consistent diagnostic predictions. Therefore, this expert system is expected to serve as a preliminary tool for the public to identify potential dental diseases before consulting with dental health professionals.
Sistem Manajemen Keuangan UMKM Rumah Sagu Barokah Dengan Menggunakan Metode Rational Unified Process
UMKM Rumah Sagu Barokah is a small and medium-sized enterprise engaged in the production and sales of sago as its main product. In its daily operations, the financial management system is still carried out manually using handwritten records. This traditional approach has created several problems, such as unorganized and inconsistent documentation of operational expenses including electricity, maintenance, employee salaries, and production costs. As a result, the business owner faces difficulties in controlling expenses, preparing budgets, and evaluating overall financial performance. To address these issues, this study aims to design and implement a Financial Management System based on information technology that can assist UMKM Rumah Sagu Barokah in managing its finances in a more professional, effective, and efficient manner. The system development method employed in this research is the Rational Unified Process (RUP). RUP was chosen because it provides a structured, iterative framework that supports quality improvement through well-defined phases, namely inception, elaboration, construction, and transition. The adoption of this method is expected to enhance project visibility, reduce risks of failure, and ensure the delivery of consistent, high-quality software that meets user requirements. The results of this study demonstrate that the designed financial management system improves efficiency in financial recording, increases data accuracy, and simplifies the preparation of financial reports on a daily, monthly, and annual basis. Moreover, the system provides support for strategic decision-making through more accurate and real-time data analysis. With the implementation of this RUP-based financial management system, UMKM Rumah Sagu Barokah is expected to enhance professionalism in financial management, strengthen its business competitiveness, and support long-term growth and sustainability.
Analisis Keamanan Website E-Pinter terhadap Serangan SQL Injection dan XSS
Website security is a crucial aspect of ensuring data integrity, confidentiality, and availability, especially in the face of increasingly sophisticated cyber threats. E-Pinter, a digital licensing service platform, is highly vulnerable to cyberattacks such as SQL Injection and Cross-Site Scripting (XSS), both of which can potentially compromise its system and the sensitive information stored within. This study aims to evaluate the security level of the E-Pinter website against these two types of attacks through a combination of manual and automated penetration testing methods designed to identify existing vulnerabilities. The SQL Injection tests involved inserting various payloads into input parameters to assess whether the database could be manipulated, while the XSS tests were conducted by embedding malicious scripts into unvalidated inputs to determine the likelihood of user interface exploitation. The results revealed several weaknesses that attackers could exploit, potentially leading to data leaks, unauthorized access, and disruptions to system operations. These findings highlight that the E-Pinter platform, as a critical public service system, requires immediate strengthening of its security protocols. As a mitigation effort, the research recommends the implementation of prepared statements to protect against SQL Injection attacks and the use of functions such as htmlspecialchars() to prevent the execution of malicious XSS scripts. Furthermore, it emphasizes the importance of continuous security monitoring, regular penetration testing, and proper input validation as essential practices for sustainable website protection. By adopting these measures, the security of E-Pinter can be significantly enhanced, ensuring the safety of user data, improving public trust in digital government services, and reducing the risk of exploitation in the future, especially as digital transformation accelerates in public administration and service delivery.
Sistem Informasi Tracer Study Berbasis Web Mobile pada AMIK Luwuk Banggai (SI-Trast)
Tracer studies are an important instrument used by universities to evaluate the quality of graduates and assess the relevance of the curriculum to the needs of the workforce. Information obtained from tracer studies can provide valuable input for improving the quality of education, developing study program development strategies, and meeting data requirements for accreditation. However, manual tracer study implementation often faces various obstacles, including limited respondent reach due to uneven questionnaire distribution, time-consuming data processing, and difficulties in presenting structured and easily understood reports. Based on these problems, this study aims to design and implement a web-based Tracer Study Information System at AMIK Luwuk Banggai. This system was developed to simplify the process of collecting, processing, and analyzing alumni data more efficiently and accurately. The research method used is Research and Development (R&D) with a Waterfall development model approach, which includes the stages of needs analysis, system design, implementation, and testing. The results show that the system is able to manage alumni data centrally, provide facilities for filling out tracer study questionnaires online, and produce reports in the form of informative tables and graphs. This feature helps the university present faster, more accurate, and more easily accessible data as a basis for strategic decision-making. Thus, the designed web-based tracer study information system has proven to be operational and functional as intended. Implementation of this system not only improves the efficiency and accuracy of tracer study implementation but also supports the institution's data needs for academic development and study program accreditation.
Sistem Informasi Administrasi Perkantoran pada Badan Kesatuan Bangsa dan Politik Kabupaten XYZ
Correspondence administration is a crucial element in supporting smooth communication, coordination, and documentation within the government. Every government agency, including the Banggai Islands National Unity and Politics Agency (Kesbangpol), requires orderly and systematic correspondence administration to ensure timely delivery and proper documentation. Kesbangpol Banggai Islands plays a strategic role in political coordination, fostering national insight, and facilitating inter-agency communication, making the existence of an effective correspondence administration system crucial. Currently, the management of incoming and outgoing mail is still carried out manually. This manual process creates various obstacles, including the risk of document loss, delays in information distribution, recording errors, and difficulties in searching archives. In addition, the manual system limits transparency and accountability, as it is often difficult to accurately track the flow of documents. This condition can certainly hamper organizational performance and reduce the quality of public services. This research aims to design and build an integrated correspondence administration information system based on digital technology. The system is designed to improve efficiency, effectiveness, and accuracy in document management, ensuring that every incoming and outgoing letter is properly recorded and easily accessible. The research methods used include needs analysis, system design, implementation, and testing. The expected outcome of this study is the development of a digital solution that simplifies the process of recording, searching, and reporting official letters. With this system, it is hoped that the Banggai Islands Kesbangpol will be able to improve organizational performance by accelerating communication and documentation flows. Furthermore, the implementation of this system will also support the principles of transparency, accountability, and modernization of public services within the local government. Ultimately, the implementation of an integrated information system will not only reduce administrative errors but also foster better governance and public trust.
Implementasi Sensor Suhu KSD pada Sistem Pengendali Kecepatan Kipas DC
Automatic and adaptive fan speed control is an important aspect in maintaining the stable performance of electronic devices, reducing energy consumption, and preventing damage due to excessive temperature. This research focuses on the design and implementation of a DC fan speed control system that utilizes a temperature sensor in the form of a KSD type thermostat as the main regulator. The system is designed to be able to operate at three different speed levels, which are automatically activated based on certain temperature points, namely 31°C, 40°C, and 55°C. Thus, the fan only works according to actual needs, so its use is more efficient. The research method used is a laboratory experimental approach, which includes three main stages, namely electronic circuit design, hardware component assembly, and functional testing of the system. Trials are carried out to ensure that the system is able to respond to temperature changes appropriately and consistently. The test results show that the control system built works according to the design, where the fan can adjust its rotational speed automatically when the temperature reaches a predetermined threshold. Overall, this system has a simple design, is robust to temperature changes, and is effective in controlling heat in electronic devices. Its implementation has the potential to provide significant benefits in the form of energy efficiency, more optimal fan power utilization, and extended device lifespan through stable operating temperature control. This research could form the basis for the development of smarter and more efficient cooling systems in the future.
Pengenalan Gerakan Tangan untuk Kontrol Slide Presentasi Menggunakan Framework Mediapipe, OpenCV, dan Model LSTM
In presentation activities, the use of physical devices such as a mouse or remote often limits the presenter’s mobility and reduces the effectiveness of interaction with the audience. This study aims to implement a hand gesture recognition system as an alternative solution to control presentation slides in real-time without additional devices. The system was developed using the MediaPipe framework for hand landmark detection, OpenCV for video image processing, and a Long Short-Term Memory (LSTM) model for sequential gesture classification. Three main gestures were defined as commands, namely “Next,” “Previous,” and “Idle,” with input taken from live video streaming at a distance of 1–3 meters.The development process included manual labeling of gesture data from multiple users, training the LSTM model with sequential data, and testing the system in real-time integrated with Microsoft PowerPoint. Experimental results indicate that the system successfully recognized hand gestures with high accuracy across most scenarios, with optimal performance observed at distances of 1–2 meters. However, accuracy decreased under low-light conditions or when gestures were performed too quickly.These findings demonstrate that the combination of MediaPipe, OpenCV, and LSTM is effective in building a gesture-based presentation control system. Beyond enhancing flexibility and interactivity in presentations, this research also contributes to the development of more natural and practical human–computer interaction systems, while offering opportunities for broader applications in other domains
Implementasi dan Pengujian Rangkaian Inverter Daya Rendah Berbasis Multivibrator
This research focuses on the design, implementation, and testing of a DC-to-AC inverter circuit utilizing an astable multivibrator configuration. The primary objective of this study is to convert a 12-volt DC input voltage, typically obtained from a battery or other low-voltage sources, into a standard 220-volt AC output voltage suitable for powering common household and industrial appliances. Inverters play a crucial role in power electronics, enabling the efficient use of renewable and portable energy systems. The research method involved several stages, beginning with circuit design based on an astable multivibrator schematic. Components including C1815 and TIP31C transistors, resistors, capacitors, and a step-up transformer were carefully selected and assembled onto a printed circuit board (PCB). After the circuit was successfully constructed, testing was carried out by supplying a 12-volt DC source and measuring the resulting voltage values using a digital multimeter. The experimental results demonstrated that the inverter circuit was able to effectively convert the input voltage into an alternating output, producing an average of 228 volts AC. This indicates that the designed circuit not only functioned according to expectations but also operated with a high degree of accuracy. Overall, the findings highlight the practicality and reliability of the astable multivibrator inverter for low-power conversion applications. Furthermore, the study contributes to a deeper understanding of inverter circuit design and offers a foundation for further development of efficient, low-cost, and accessible power conversion systems.
Pengembangan Media Pembelajaran Scratch untuk Meningkatkan Pemahaman Angka dan Bentuk Anak Usia Dini di Nabire
Low interest and understanding of basic mathematics among children due to the use of conventional methods that are monotonous and uninteresting, as well as limited access to innovative learning media and human resources trained in modern teaching methods, also exacerbate this condition, creating a gap between the expected curriculum and its implementation in the field. This study aims to develop Scratch-based learning media to improve children's understanding of numbers and shapes in early childhood in Nabire Regency, Central Papua. The research method used is Research and Development (R&D) with the ADDIE model (Analysis, Design, Development, Implementation, Evaluation). The results of the analysis show the need for interactive media that is suitable for the characteristics of early childhood. The developed media is designed with attractive visuals, supporting audio, and a simple interface so that it is easy to use. Implementation in early childhood education institutions proves that children are more active, enthusiastic, and find it easier to understand the concepts of numbers and shapes through a game-based learning approach. The evaluation results show that this educational media is effective, in line with the learning scenario, and can be an innovative alternative to improve the quality of early childhood education in Nabire.
Implementasi Pengaman Pintu Terintegrasi dengan Kartu Anggota pada Ruangan Sekretariat Himpunan Mahasiswa Teknik Elektro Universitas Pamulang
The electronic lock using RFID facilitates access in and out and provides more security compared to conventional door locks. Pamulang University Electrical Engineering Student Association (HIMA) has a door lock system in the HIMA secretariat room using a manual key and does not yet have a member card for their members. For this reason, the HIMA member card with RFID-based door security is expected to facilitate access and increase security in the HIMA secretariat room. The variables in this study are HIMA member cards, access time response on the system, hardware reliability on the system, and electrical voltage on hardware components. Based on the research results, it can be concluded that the door security system can be implemented by showing that the hardware components in the system work well and can receive input and output according to their working principles. The average card reading response speed is around 7.73 seconds using a HIMA member card and 7.29 seconds using an unregistered card. The type of card that can open the door to the HIMA secretariat room can only 10 HIMA member card, apart from this card the door remains locked. The measured electrical voltage on the NodeMCU ESP8266 device components was 4.94VDC, the Door Lock Solenoid was 12.07VDC, the LCD was 4.05VDC, the Buzzer was 1.41VDC, the RFID Reader MFRC522 was 2.78VDC, and the Relay was 4.96VDC. The database system can be recorded on Google Spreadsheet by displaying the results of entry access using HIMA member cards and unregistered cards and can be monitored in real time or as a database for entry access to the HIMA secretariat room.
Sistem Pendukung Keputusan Evaluasi Kinerja Pegawai Honorer Menggunakan Metode Simple Additive Weighting (SAW) di Pengadilan Negeri Pangkalan Balai
Honorary employees are an important element in supporting the performance of an institution. Their presence, with adequate competence and productivity, greatly helps ease the workload and ensures the smooth operation of government institutions. In this study, the implementation of a Decision Support System using the Simple Additive Weighting (SAW) method is applied to evaluate the performance of honorary employees. The results of this evaluation are expected to serve as a consideration for the Head of the Subdivision of Personnel in determining policies related to the provision of rewards, bonuses, or sanctions for honorary employees. In addition, calculations are also carried out on the assessment of non-government employees as a form of comparison. The SAW method was chosen because of its practical nature, ease of application, and ability to produce accurate decisions. This method works on the principle of weighted summation, where each criterion is assigned a specific weight, so that the final score obtained becomes the basis for decision-making. From a managerial perspective, performance evaluation can be enhanced by adding criteria according to the needs of the institution or company. Calculations using the SAW method have proven to provide a high level of accuracy in assessing the performance of honorary employees, particularly based on aspects of work, performance evaluation results, and work attitude assessment.
Sistem Monitoring Kualitas Udara Perpustakaan Sekolah Menggunakan Algoritma Fuzzy Logic Berbasis Internet of things
In the modern era, air quality has become a significant environmental concern, especially in indoor public facilities such as school libraries where students and staff spend considerable time. Poor indoor air quality can negatively affect health, concentration, and overall comfort, highlighting the need for a reliable monitoring solution. This study proposes the design and implementation of an Internet of Things (IoT)-based air quality monitoring system integrated with a Fuzzy Logic algorithm. The system utilizes a DHT-11 sensor to measure temperature and humidity and an MQ-135 sensor to detect harmful gases. Data are transmitted in real time using the WEMOS D1 Mini microcontroller and processed through the Mamdani Fuzzy Logic method, producing intuitive linguistic outputs such as “good,” “moderate,” and “poor.” Testing results demonstrate that the system can effectively monitor temperature, humidity, and toxic gas concentrations simultaneously with acceptable accuracy. The air quality assessments generated are simple to interpret and useful for decision-making, enabling schools to maintain a healthy and comfortable learning environment. Moreover, the system provides a low-cost and scalable solution that can be further expanded to other public facilities. Its combination of Internet of Things and Fuzzy Logic ensures adaptability, accuracy, and practicality for small-scale environmental monitoring applications in libraries.
Inovasi Sistem Pengeringan Kopi dengan Teknologi Solar Dryer Modular Berbasis EBT sebagai Solusi Krisis Iklim di Desa Pajahan Kabupaten Tabanan
Pajahan Village is one of the villages in Pupuan District, Tabanan Regency which is located at an altitude of 800-1500 m above sea level with coffee plantations as the main commodity. However, coffee farmers in Pajahan Village complained of erratic climatic conditions that hindered coffee farmers in terms of drying their coffee beans. In this workaround, some farmers choose to dry their coffee beans outside districts such as Buleleng Regency. But of course this will add to production costs, transportation costs and the time needed to dry coffee beans. Through one of the Merdeka Belajar Kampus Merdeka programs, namely Bina Desa, the Electrical Student Association provides a solution, namely by procuring a Modular Solar Dryer with a capacity of 40 kilograms / tool with the aim of being able to reduce production and transportation costs needed while saving time needed in post-harvest coffee bean processing. In addition to the procurement of tools, the Village Development Team of the Electrical Student Association also held a workshop to provide knowledge to Pajahan Village coffee farmers by presenting speakers from Bali Mall. In addition, program support was also held such as mass media publications, guidebooks on the use and maintenance of Solar Dryers, as well as posters, and videos of activities.
Perancangan Sistem Kontrol Kecepatan Kapal dengan Sistem Propulsi Hibrida berbasis Neural Network Method
The increasing number of fossil fuel-powered vessels in Indonesia poses serious challenges related to energy efficiency and exhaust emissions. This study aims to design and implement a hybrid propulsion ship speed control system based on the Neural Network (NN) method to improve fuel efficiency, speed stability, and system safety. The system was developed on a trimaran ship prototype that combines a Brussles Directional Current electric motor and an Internal Combustion Engine (ICE). The Neural Network method is designed with a 5-8-3 architecture as an adaptive controller, processing actual speed and RPM inputs to generate real-time motor control signals. Tests were conducted statically and dynamically at five speed set points under current conditions of ±0.57 m/s and waves of 2–15 cm. The test results showed that the application of Neural Network control improved speed stability, with a deviation of <0.5 km/h at the low set point, and significantly reduced RPM fluctuations. Fuel efficiency also improved, especially at high speeds; the increase in consumption was only ±3.42 ml with control compared to ±43.6 ml without control. In addition, the system is equipped with overcurrent protection that effectively prevents component damage, as proven after initial trial incidents. Overall, the results of this study demonstrate that the integration of Neural Network methods into hybrid propulsion systems has great potential for the development of energy-efficient, stable, and environmentally friendly smart ships.
Turbin Angin Vertikal Model Savonius sebagai Alternatif Pemanfaatan Energi Baru Terbarukan
Renewable energy sources are energy sources formed through continuous processes, making their availability abundant and inexhaustible. Examples of renewable energy sources include solar energy, biomass energy, wind energy, hydropower, geothermal energy, wave energy, and others. The purpose of this study is to evaluate the efficiency and the ideal design of a Vertical Axis Wind Turbine (VAWT) as a sustainable alternative energy source. In addition, energy storage technology through renewable energy–based battery charging systems has also become an important focus, such as battery charging systems using solar panels that can be adapted to wind turbines. With the increasing demand for energy and the negative consequences of fossil fuel usage, there is a growing interest in finding more environmentally friendly renewable energy sources. Tests conducted in two different regions showed varying results, which were influenced by the geographical location of each area. This turbine is designed using PETG (Polyethylene Terephthalate Glycol) material, which has high transparency and strong resistance to chemicals. Based on the test results, the experiment in Nganjuk generated 13.2 Wh of power, while in Surabaya it generated 9.9 Wh. The spiral design allows the turbine to capture wind from multiple directions and reduce wasted wind flow, thereby maximizing the turbine’s ability to rotate the generator rotor.
Pengembangan Media Pembelajaran Huruf Hijaiyah Berbasis Scratch di TK Bustanul Afthal Nabire
Learning Hijaiyah letters serves as a fundamental component in early Islamic education. However, many early childhood education institutions, including TK Bustanul Afthal Yapis in Nabire, Papua, still rely on conventional methods such as flashcards and rote memorization, which are often less engaging for young learners. This research aims to develop an interactive, educational, and contextually relevant digital learning media based on Scratch to introduce Hijaiyah letters to early learners. The study adopts a Research and Development (R&D) approach using the ADDIE model—comprising Analyze, Design, Develop, Implement, and Evaluate phases. The developed media integrates animated visuals, audio pronunciations, and clickable interactions tailored to the visual and kinesthetic learning styles of children aged 4–6 years. The preliminary implementation showed that the media significantly increased children's engagement, attention, and motivation to learn Hijaiyah letters in a fun and immersive manner. Teachers also expressed positive feedback regarding the media's user-friendliness and adaptability within classroom settings. The interface was designed to be intuitive and culturally relevant, incorporating local Papuan ornaments and character illustrations. Moreover, the application operates offline and requires minimal hardware, making it suitable for regions with limited technological infrastructure. Overall, this Scratch-based learning media presents an innovative and practical solution to enhance Islamic education for early childhood learners, especially in under-resourced educational contexts
Aplikasi Web Prototipe untuk Peminjaman dan Pengembalian Buku di STMIK Pesat Nabire
The development of information technology has a significant impact on the information management system, including in the higher education environment. STMIK Pesat Nabire as one of the educational institutions needs an efficient, modern, and easily accessible library system. This research aims to design and build a web-based library application that can facilitate book data management, borrowing, returning, and searching for information online. The development of this application uses the prototype method, which allows the development process to be carried out iteratively and flexibly through continuous collaboration between developers and users. The main features in the app include book data management, members, loan and return transactions, and late notifications. The test results showed that the built system could run well and meet the needs of users in the STMIK Pesat Nabire environment. With this application, it is hoped that library services will be more effective and efficient, and able to increase the reading interest of the academic community.
Pemanfaatan Game Scratch sebagai Media Pembelajaran Interaktif di SD Inpres Waharia
Low student learning motivation in conventional teaching remains a major challenge in elementary education, especially in regions with limited access to educational technology. This study aims to develop and evaluate the effectiveness of interactive learning media based on games created with the Scratch application to improve learning motivation among fourth-grade students at SD Inpres Waharia. The research employed a Research and Development (R&D) approach with a prototyping model, encompassing stages of needs analysis, media design, prototyping, implementation, and evaluation through limited trials. Data collection involved student engagement observations, teacher interviews, and validation sheets from media and subject experts. The results indicated that the use of Scratch significantly enhanced students’ attention and active participation, creating a more enjoyable and engaging learning atmosphere. Teachers acknowledged that the media supported visual and interactive material delivery, accelerating students’ understanding of key concepts. Therefore, Scratch-based media is a promising alternative for innovative learning tools, aligning with 21st-century educational needs and supporting digital transformation policies in elementary education.
Perancangan Aplikasi Uji Kelayakan dan Kepatutan (ALPUKAT) Berbasis Web
The submission of the Certificate of Feasibility and Propriety (SK UKK) for cooperatives in the Riau Islands Province is still carried out manually, which hinders administrative processes, especially for cooperatives located far from the Office of Cooperatives and SMEs of the Riau Islands Province. To address this issue, this internship project aims to design and develop the Feasibility and Propriety Test Application (ALPUKAT), a web-based platform that facilitates online SK UKK submissions. The system was developed using the Laravel 12 framework, the PHP programming language, and MySQL database. The application provides account registration and document upload features for cooperatives, while the Cooperative Office, acting as the administrator, can verify documents, schedule interviews, and upload meeting minutes and SK UKK certificates. The result of this internship is a functional application that can be utilized by both cooperatives and the Cooperative Office within the Riau Islands Province. The implementation of this system is expected to make the SK UKK submission process more efficient, transparent, accurate, and centralized, while also supporting the government’s efforts to promote the digitalization of public services.
Kerangka Kerja Penambangan Data yang Skalabel untuk Analisis Hukum Komputasional: Implementasi Pipeline Python dan Selenium pada Putusan Perkara Perdata Mahkamah Agung Indonesia
The digitization of judicial records has introduced challenges in handling large-scale data, which traditional legal research methods cannot adequately address. This paper outlines the development and evaluation of an automated data mining framework designed to collect judicial decisions from the Indonesian Supreme Court's public directory. The aim is to create a data pipeline for analyzing civil litigation trends. The approach involves a multi-stage data acquisition process using a custom Python script and a headless Selenium WebDriver to navigate complex, JavaScript-rendered websites and handle asynchronous pagination. The BeautifulSoup library is used for efficient HTML parsing and metadata extraction. Data is structured and stored in a CSV file, ensuring data integrity during interruptions. The system successfully mined 21,780 civil case records from the 2024 period, achieving an extraction rate of 12 decisions per minute with a 75% success rate. This success rate was influenced by the website's responsiveness, requiring a 120-second Read Timeout and persistent retries. Descriptive analysis using the Pandas library identified unlawful acts, breach of contract, and land disputes as the most prevalent civil litigation categories. This research provides a scalable model for legal informatics and offers foundational data for future analyses, such as Natural Language Processing (NLP) on judicial texts.
Klasifikasi Tingkat Kematangan Buah Kelapa Sawit Menggunakan Metode Convolutional Neural Network
Classifying the ripeness level of oil palm fruits represents a critical aspect of the oil palm industry that dominates Indonesia's economy. This research aims to develop and evaluate a Convolutional Neural Network (CNN) model to automatically, objectively, and accurately classify the ripeness level of oil palm fruits based on digital image analysis. The underlying problem of this research is the manual harvesting practice that relies on subjective assessment by harvesters, resulting in inconsistency and substantial economic losses. The research approach employs a quantitative experimental methodology with a dataset of 1,840 digital images of oil palm fruits balanced across four ripeness categories (unripe, semi-ripe, ripe, overripe). Image preprocessing was performed to standardize input with a data split of 80% training and 20% testing. The implemented CNN model achieved an average accuracy of 76.52% with optimal accuracy of 82.61%, precision of 0.77, recall of 0.77, and F1-score of 0.76 from five independent test runs. RGB profile analysis revealed a significant correlation between color pigment values and ripeness level, with extreme categories (unripe and ripe) achieving accuracy >95%, while transitional categories (semi-ripe) demonstrated higher challenges. Per-category results showed excellent F1-scores (0.946–0.983) for all classes, indicating that the model learned meaningful ripeness indicators based on biological pigment physiology. System implementation was complemented with a user-friendly Graphical User Interface (GUI) based on MATLAB, enabling non-technical operators to use the model directly. Functional black-box testing demonstrated a 100% pass rate, validating the system's readiness for operational deployment. In conclusion, CNN can be implemented as a practical solution for harvest automation that enhances objectivity, consistency, and efficiency in harvest timing determination, with positive implications for product quality, industry sustainability, and economic value added for Indonesian oil palm farmers. Keywords: Ripeness classification, oil palm fruit, Convolutional Neural Network, digital image processing, harvest automation, machine learning, RGB analysis