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The food security program involving chili cultivation in Pentur Village is hindered by inefficiencies in water use and suboptimal plant growth, primarily due to traditional irrigation methods that fail to consistently maintain ideal soil moisture and temperature. This issue is exacerbated by unpredictable environmental shifts, such as fluctuating weather patterns, and a lack of precise irrigation control stemming from technological limitations. To address this, a system for monitoring and regulating chili plant irrigation using IoT technology was developed. This system employs humidity and temperature sensors connected to an IoT platform like Blynk, enabling real-time observation of plant and environmental conditions. Data on soil moisture, air temperature, and humidity are stored in a database, and irrigation is automated based on soil moisture levels. The goal is to enhance water efficiency, minimize risks associated with over or under-watering due to environmental variations, and improve both yield and quality of the chili crop. This IoT-based system aims to simplify chili plant management for Pentur Village farmers and significantly boost agricultural output.

This research aims to be able to meet the water supply of lettuce plants automatically by using three sensors such as soil moisture, water level, and water discharge. The goal is to provide water needs to plants automatically and regularly. The developed tool uses YL-96 sensor for soil moisture, HC-SR04 for water level and YF-S201 for water discharge. Sensor data is sent to the arduino to be processed using the fuzzy mamdani method so that these three data values affect the movement of the tap servo motor that flows to the lettuce plant. Fuzzy logic here as a decision maker from the value of 3 sensor data and then processed automatically by arduino using fuzzy mamdani to determine how many degrees the servo motor moves. The result is that the Lettuce Plant Water Needs Analysis System Automation Tool is able to maintain the water supply of lettuce plants and soil moisture ideally at 76% with a servo motor movement system success rate of 100%.

Due to the busy activities outside the home, some people do not have time or forget to water their plants, so when they return home they find that the plants have died from drought. Therefore, to overcome this problem by conducting research using Internet of Things technology. The aim of this research is to design an automatic watering tool to overcome manual watering and support learning. This prototype uses a NodeMCU ESP8266 as the main controller, a soil moisture sensor is used to read soil moisture.  Soil moisture sensors are used to detect soil moisture. If the soil humidity is below the minimum limit, the watering process will be active and the watering process will be active if the NodeMCU ESP8266 receives commands from the smartphone.

Tahapan seleksi anggota Panitia Pengawas Pemilu Kecamatan (Panwascam) memiliki peran penting dalam menjamin kualitas pengawasan pemilu di tingkat lokal. Penelitian ini memanfaatkan metode Analytic Hierarchy Process (AHP) dalam Sistem Pendukung Keputusan (SPK) untuk menyusun proses seleksi yang objektif dan bebas dari konflik kepentingan. AHP digunakan karena kemampuannya dalam merancang hierarki keputusan, menentukan bobot kriteria dan subkriteria, serta memastikan konsistensi hasil. Data diperoleh melalui wawancara dengan Bawaslu Kabupaten Brebes yang mengidentifikasi lima kriteria utama: integritas, kompetensi, pengalaman, kesehatan, dan netralitas politik, masing-masing terdiri dari tiga subkriteria. Penilaian terhadap kandidat menghasilkan calon A1 sebagai pilihan utama dengan bobot 0,41, disusul A2 dan A3. Analisis konsistensi menunjukkan nilai CR < 0,1, yang menandakan hasilnya valid dan dapat dipertanggungjawabkan. Hasil ini menunjukkan bahwa metode AHP dapat diandalkan dalam mendukung seleksi Panwascam secara transparan dan sistematis

Kecelakaan lalu lintas di Kabupaten Brebes merupakan masalah kritis karena tingginya frekuensi insiden yang terjadi di wilayah tersebut. Penelitian ini bertujuan untuk menentukan area yang rentan terhadap kecelakaan dengan menggunakan algoritma K-Means Clustering , yang mendukung proses pengambilan keputusan berbasis data. Isu utama yang dieksplorasi dalam penelitian ini adalah bagaimana algoritma K-Means dapat diimplementasikan untuk mengelompokkan zona rawan kecelakaan dan meningkatkan kesadaran masyarakat terhadap keselamatan jalan. Metodologi yang digunakan meliputi pengumpulan data melalui tinjauan pustaka, observasi langsung, dan wawancara, yang dilanjutkan dengan penggunaan algoritma K-Means untuk mengklasifikasikan data kecelakaan berdasarkan jumlah kejadian, korban jiwa, dan cedera. Temuan menunjukkan bahwa algoritma K-Means secara efektif mengelompokkan lokasi rawan kecelakaan ke dalam tiga tingkat risiko yang berbeda: tinggi, sedang, dan rendah. Dengan demikian, informasi yang terklasifikasi ini dapat membantu otoritas terkait dalam meningkatkan langkah-langkah keselamatan lalu lintas dan mengedukasi masyarakat tentang area berisiko tinggi. Hasil penelitian ini diharapkan dapat berkontribusi pada pengembangan kebijakan keselamatan lalu lintas yang lebih terinformasi dan strategis di Kabupaten Brebes.

State Senior High School 7 Surakarta is one of the public schools located in Surakarta City. The library activities, including member data management, book processing, and book borrowing and returning, are still conducted manually using physical logbooks. This manual process is considered inefficient and prone to errors. The purpose of this study is to develop a book borrowing system at State Senior High School 7 Surakarta that serves as a tool to assist officers in recording, loans, and returning books. This system is designed using the CodeIgniter framework to support WEB displays, programming in PHP, and using MySQL for database management. This system is created using the System Development Life Cycle (SDLC) method with a waterfall model that includes the stages of analysis, design, implementation, testing, and maintenance. System testing was conducted using Black-Box Testing and the System Usability Scale (SUS). The Black-Box Testing results showed that all features and functions operated correctly. The SUS evaluation produced a score of 75.68%, indicating that users generally agreed with the implementation of the system, which falls under the "acceptable" classification.

The election of the OSIS chairman at SMK Al-Ikhlas Losari often influences subjectivity, so a goal-oriented system is needed to select the best candidate. This study applies the WASPAS method in a Decision Support System to broadcast OSIS chairman candidates based on criteria such as attendance, integrity, academic achievement, and health. Data were collected through observation, interviews, and literature studies, then processed using Microsoft Excel. The results of the WASPAS calculation yield a Qi preference value, which determines the ranking of candidates transparently. This system reduces subjectivity, increases efficiency, and ensures the selection of competent leaders, supporting the OSIS vision.

Penentuan siswa terbaik di lingkungan sekolah seringkali menghadapi tantangan dalam hal objektivitas dan konsistensi. SMP Negeri 3 Tanjung mengalami kesulitan dalam memilih siswa terbaik secara sistematis karena belum adanya sistem penilaian terstruktur yang mempertimbangkan berbagai kriteria secara kuantitatif. Oleh karena itu, penelitian ini bertujuan untuk merancang dan mengimplementasikan sistem pendukung keputusan menggunakan metode Analytical Hierarchy Process (AHP) dalam pemilihan siswa terbaik. Metode AHP dipilih karena mampu menguraikan permasalahan kompleks menjadi hierarki dan melakukan perbandingan antar kriteria serta alternatif secara berpasangan. Kriteria yang digunakan meliputi nilai akademik, sikap dan kedisiplinan, keikutsertaan dalam organisasi sekolah, serta prestasi dalam kejuaraan. Hasil perhitungan menunjukkan nilai akademik memiliki bobot tertinggi yaitu 0.5345, diikuti oleh nilai sikap dan kedisiplinan sebesar 0.2775, keikutsertaan organisasi sebesar 0.1236, dan kejuaraan lomba sebesar 0.0642. Dengan hasil perhitungan akhir menggunakan metode AHP, siswa bernama Ajeng Malica Aura Madura mendapat nilai tertinggi sebesar 0.1539 dan ditetapkan sebagai siswa terbaik peringkat pertama. Sistem ini terbukti memberikan hasil penilaian yang lebih transparan, terstruktur, dan dapat dipertanggungjawabkan oleh pihak sekolah.

Penelitian ini bertujuan untuk mengetahui pengaruh kWh meter yang bermasalah terhadap efektivitas kWh Jual. Penggambilan data pemakaian kWh meter bermasalah pelanggan di PT. PLN (Persero) ULP Muara Enim. Metode yang digunakan ACMT (Aplikasi Catat Meter Terpusat) dan anlisa RCPS (Root Cause Problem Solving). Hasil penelitian ini Terdapat peningkatan nilai kWh setelah dilakukan penggantian pada kWh meter bermasalah, yang sebelumnya rata-rata pemakaian hanya 3.282 kWh setelah di lakukan penggantian rata-rata pemakaian meningkat menjadi 4.011 kWh   maka terdapat selisih rata-rata pemakaian sebesar 729 kWh. Penggantian kWh meter macet dan buram meningkatkan efektifitas kWh   jual sebesar 24,97 %. Terdapat selisih biaya yang merupakan kerugian yang selama ini ditanggung oleh PT. PLN sebesar Rp.824.560,-/bulan. Dengan dilakukannya penggantian kWh meter bermasalah ini diharapkan akan meminimalisir kesalahan yang dapat menimbulkan kerugian pada PT. PLN (Persero).

The advancement of information technology has had a profound impact on education, including at the Universitas Bina Sarana Informatika (UBSI), where My Best, an elearning application, was created. With this program, users may participate in a variety of academic tasks, including online attendance, discussions, assessments, assignments, and course materials. But pupils continue to face usability difficulties. The System Usability Scale (SUS) technique is used in this study to assess the usability of the My Best program. The approach included 35 current UBSI students who have been using the My Best software for more than seven semesters. According to the assessment, the average SUS score was 70, which is considered to be rather high but still needs work in terms of interface usability and user-friendliness. As a result, although the My Best app is thought to be helpful in fostering learning, improvements are needed to enhance the whole user experience.

This study focuses on developing a web-based Research and Community Service Information System (SIPPMAS) for Politeknik Takumi Bekasi, utilizing the Waterfall methodology. The aim is to create an integrated platform that streamlines the management of research and community service activities, from proposal submission and budget allocation to project execution and final reporting. The Waterfall method was chosen for its structured, sequential approach, ensuring a systematic development process through distinct phases: requirements analysis, design, implementation, testing, and maintenance. This approach is expected to enhance data accuracy, improve operational efficiency, and provide real-time project monitoring, ultimately facilitating better collaboration among stakeholders and increasing the overall impact of research and community service initiatives at Politeknik Takumi Bekasi. The system is designed to address current manual administrative challenges, offering a centralized and accessible solution for all users.

Intuisi Coffee, sebuah kafe di Blang Kolak, Aceh Tengah, masih mengelola proses pemesanan dan transaksi secara manual, yang berdampak pada kurangnya efisiensi dalam pencatatan, pengelolaan stok, dan penyusunan laporan. Penelitian ini bertujuan untuk mengimplementasikan sistem informasi berbasis web guna meningkatkan efisiensi operasional kafe. Pengembangan sistem dilakukan menggunakan metode Waterfall dengan memanfaatkan XAMPP, PHP, dan MySQL sebagai teknologi utama. Evaluasi sistem menggunakan System Usability Scale (SUS) untuk mengukur tingkat kegunaan dari sisi efektivitas, efisiensi, dan kepuasan pengguna. Hasil evaluasi menunjukkan skor SUS sebesar 64,9, yang mengindikasikan sistem berada pada kategori kegunaan yang cukup baik. Implementasi sistem ini terbukti dapat mempercepat proses transaksi, mempermudah pengelolaan data, dan mendukung pengambilan keputusan secara lebih terstruktur

When producing a perfect product, design process namely 2D modeling and 3D drawing, are closely related. The purpose of this study is to design a 3D model of a gun mastering machine product as a fan drive using CAD applications. The method of this study is decision data on API production (analytical product inspection). Measurement of sterling machine degradation using CPK (deviation) received results of -0.97, -0.22, 0.86, 0.11, 0.11 between zero and what indicates this specification. On average, the results of the stirling fluid fluorescent agent measurement are red numbers indicating that the survey dimensions are absent, especially from the basic dimensions of point 4, with samples 2, 3, and 5 exceeding the specified tolerance limits.

The digital transformation in education has encouraged the adoption of computer-based tests (CBT) using video content, which demands stable and efficient network performance. This study aims to evaluate the performance of two queue management algorithms, namely Random Early Detection (RED) and Per Connection Queue (PCQ), in maintaining the quality of service (QoS) of school networks during online video-based examinations. A case study approach was applied using a real network topology in a school environment, and QoS parameters such as throughput, delay, packet loss, and jitter were measured. The implementation was conducted using a MikroTik RB450Gx4 router configured with simple queue settings for each algorithm. The results show that PCQ provides more consistent performance under high user loads, achieving an average throughput of 56,482 bps and lower delay compared to RED. Conversely, RED performs better in scenarios with a small number of users. The study recommends using PCQ for networks with dynamic and dense user environments, while RED is more suitable for low-traffic conditions where latency stability is crucial. These findings offer practical guidance for managing bandwidth and improving the quality of CBT delivery in educational settings.

Penerapan konsep kota cerdas menjadi arah strategis dalam mengelola kompleksitas urbanisasi sekaligus meningkatkan kualitas sumber daya manusia agar lebih adaptif dan kompetitif. Namun, dalam praktiknya, masih ditemukan berbagai permasalahan seperti keterbatasan infrastruktur digital, rendahnya literasi teknologi masyarakat, serta belum optimalnya integrasi teknologi dalam tata kelola kota. Kesenjangan ini dapat menghambat upaya membangun SDM yang berdaya saing tinggi. Studi ini bertujuan untuk menganalisis bagaimana teknologi kecerdasan buatan dapat mendukung transformasi kota cerdas dalam kerangka peningkatan daya saing manusia. Metode yang digunakan adalah pendekatan deskriptif berbasis studi literatur, dengan fokus pada pemetaan peran kecerdasan buatan dalam mendukung pilar smart city: smart governance, smart economy, smart people, smart mobility, smart environment, smart society, dan smart living. Hasil kajian menunjukkan bahwa pemanfaatan kecerdasan buatan mampu mendorong efisiensi layanan publik, memperkuat sistem pendidikan berbasis personalisasi, mendukung analitik data untuk pengambilan keputusan, serta menciptakan ekosistem inovatif yang merangsang pengembangan kompetensi SDM. Selain itu, sinergi antara pemerintah, sektor industri, dan lembaga pendidikan menjadi kunci dalam memastikan bahwa transformasi digital yang dilakukan mampu menjangkau seluruh lapisan masyarakat secara adil dan berkelanjutan. Dengan pemanfaatan kecerdasan buatan secara inklusif dan etis, kota cerdas tidak hanya menjadi solusi teknologi, tetapi juga platform strategis dalam mencetak manusia yang unggul dan siap bersaing dalam era global.

Pendistribusian bantuan yang efisien menjadi tantangan utama dalam proses penyaluran. Penelitian ini bertujuan untuk merancang sistem cerdas yang mampu memetakan dan menyalurkan bantuan secara optimal dengan pendekatan algoritmik. Metodologi yang digunakan meliputi pemodelan sistem dengan menggunakan Unified Modeling Language (UML), perancangan struktur basis data relasional, dan perancangan algoritma penyaluran berdasarkan kriteria prioritas dan efisiensi logistik. UML digunakan untuk menggambarkan arsitektur sistem secara visual, meliputi use case, class, dan diagram aktivitas. Perancangan basis data dilakukan untuk memastikan integritas data dan kemudahan pengelolaan informasi bantuan, lokasi, dan kebutuhan penerima. Algoritma yang dikembangkan memanfaatkan pendekatan heuristik untuk menentukan rute penyaluran dan prioritas penerima berdasarkan parameter lokasi geografis. Hasil penelitian ini berupa prototipe model konseptual yang dapat digunakan sebagai dasar pengembangan sistem cerdas berbasis teknologi untuk mendukung proses penyaluran bantuan yang adaptif dan responsif.

Technological advancements have brought fundamental changes in the way we interact with digital images and photography. One significant milestone in this development is the Photoshop Express Photo Editor, which has become a primary platform for image processing and editing. Datasets are used to analyze sentiment and are utilized during the accuracy testing phase. Based on the testing results, the Convolutional Neural Network (CNN) algorithm achieved an average accuracy value of 86.50%, compared to the Naïve Bayes (NB) algorithm, which achieved an average accuracy value of 75%. The results of the research conclude that the choice of sentiment analysis method should be tailored to the needs and limitations of the system. If a fast, light, and easy-to-understand process is required, the Naive Bayes method is the right choice. However, if accuracy and context understanding are the top priorities, then CNN is a superior approach, although it requires more resources. Additionally, based on the Wordcloud data, it is known that the majority of comments are positive, indicating that the reviews or texts analyzed contain many positive expressions related to quality, usability, and ease of use.

Automatic Speech Recognition (ASR) for the Indonesian language faces significant challenges due to high Word Error Rate (WER), especially when using pre-trained models without fine-tuning. This study develops an optimized ASR system using a hybrid cloud architecture that integrates the Faster-Whisper large-v3 engine with advanced audio preprocessing techniques. The system adopts a distributed architecture, with Google Colab (Tesla T4, 15GB VRAM) as the GPU server and Ubuntu 22.04 LTS (8 core, 32GB RAM) as the client. Evaluation was conducted on five Indonesian audio samples covering formal news, informal conversations, and long-duration recordings. The system achieved an 80% success rate in processing, with WER ranging from 27.69% (formal news) to 645.16% (informal conversations). Resource utilization was also efficient, with 21.3% GPU usage and 35.4% RAM usage. Processing time remained stable for normal-sized files but experienced timeouts on large files (>50MB). The results indicate that hybrid cloud architecture is feasible for distributed ASR processing in Indonesian, with several areas still open for optimization toward production deployment.

CV. Apris Expressindo is a private company engaged in the construction and distributor of U-PVC frames. In its business process activities, CV. Apris Expressindo still does not utilize technology optimally, so that the transfer of information regarding offers, sales, purchases, product stock, suppliers, customers, and financial reports is still done manually. This causes inefficient business processes including: slow fulfillment of customer orders, product pricing errors between divisions, product marketing that is not optimal, financial reports that cannot be seen and controlled by company leaders. Therefore, it is necessary to implement Enterprise Resource Planning (ERP) which aims to overcome these problems. The methodology used in this study was carried out in several stages, namely, data collection: interviews, observation and literacy studies, business process analysis: activity diagrams and use case diagrams, implementation: installation, configuration and module customization, testing: blackbox and UAT (User Acception Test) . The results of this study indicate that the ERP software that has been selected and implemented, namely the Odoo application, can improve and simplify business process activities and can minimize any problems faced today. It is hoped that with this ERP system business operations can be more effective and efficient so that it is expected to provide more financial benefits for CV Apris Expressindo.

Information systems can be technically defined as a set of interconnected components designed to support decision-making and drive organizational operations. PT Asuransi Takaful Keluarga utilizes an information system in the form of the Takaful eCard mobile application, which facilitates registration and access to outpatient and inpatient insurance services at partner hospitals. Over time, several usability issues have emerged related to the application's user interface (UI) and user experience (UX). To evaluate user satisfaction and comfort levels, usability testing was conducted using the Heuristic Evaluation method. This method assesses UI design flaws based on 10 established usability principles. The evaluation revealed design issues in (H2) question Q6, (H3) question Q7, and (H10) questions Q27 and Q28. These issues are primarily related to the absence of new feature additions, ineffective message dialog boxes, and the lack of a user guidance module. The findings highlight the need for UI/UX improvements to enhance user interaction with the Takaful eCard application.