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Era baru dan alih fungsi bangunan membawa dampak perubahan pada fasad bangunan dari langgam arsitektur aslinya, hal tersebut juga terjadi di Jalan Malioboro yang merupakan kawasan Cagar Budaya dan tujuan wisata. Kajian Langgan Arsitektur Fasad Bangunan Sisi barat Jalan Malioboro adalah bagian dari upaya pemerintah untuk mempertankan nilai historis kawasan dan mengembalikan visual arsitektur yang berada di poros imajiner Sumbu Filosofis. Penelitian ini berdasar pada sebuah kajian yang bertujuan untuk mengidentifikasi dan menganalisis langgam Arsitektur fasad bangunan komersial khususnya di sisi Barat Jalan Malioboro. Dari penelitian ini diharapkan bisa memberikan kontribusi dalam menghasilkan suatu dokumen perencanaan teknis fasad sumbu filosofi yang sesuai dengan langgam arsitektur aslinya. Metode penelitian menggunakan metode deskriptif analitik, yaitu sebuah metode yang memberikan gambaran atau mendeskripsikan detail dari objek penelitian, dimana dalam prosesnya dimulai dengan mengumpulkan data-data melalui observasi lapangan, dokumentasi visual, dan studi literatur. Sedangkan analisis, dilakukan terhadap elemen-elemen fasad bangunan yang meliputi elemen bentuk, ornamen, komposisi simetri, irama, geometri, unsur warna, pintu, jendela dan bentuk atap bangunan.

Wayfinding adalah proses mencari dan menentukan arah untuk mencapai tujuan dalam suatu lingkungan. Menurut Passini (1984), proses wayfinding meliputi tiga tahap utama: pengambilan keputusan, pelaksanaan keputusan, dan pemrosesan informasi. Proses ini melibatkan berbagai perilaku dan strategi navigasi yang berbeda tergantung perbedaan individual dan keadaan lingkungan. Studi ini mengkaji strategi navigasi berdasarkan klasifikasi perilaku wayfinding Barker (2019), yang mengelompokkan perilaku ke dalam tiga kategori utama: sosial, semantik, dan spasial. Berdasarkan Barker (2019) dan Dalton dkk. (2019) perilaku sosial melibatkan penggunaan informasi dari interaksi atau tindakan orang lain. Perilaku semantik menggunakan simbol dan petunjuk. Sedangkan perilaku spasial bergantung pada elemen fisik dan model kognitif di lingkungan. Melalui pencarian di berbagai database ilmiah, ditemukan 40 artikel yang diterbitkan antara tahun 1980 hingga 2025, dengan persentase penelitian terbaru dalam 10 tahun terakhir sekitar 60% yang dianalisis dalam kajian ini. Hasil dari tinjauan literatur ini menemukan bahwa individu dari berbagai kondisi dan latar belakang memiliki strategi navigasi yang berbeda, ada yang menggunakan perilaku sosial, perilaku semantik, atau perilaku spasial, bahkan ditemukan pula perilaku kombinasi. Pemahaman yang mendalam terhadap variasi perilaku ini memberikan implikasi penting dalam perancangan elemen arsitektur interior maupun sistem navigasi yang inklusif dan responsif terhadap kebutuhan seluruh pengguna.  

The rapid development of information technology has triggered significant changes in communication patterns, including in da'wah activities. Amidst digital dominance and the rapid flow of information, a da'wah approach relevant to the communication characteristics of Gen Z is crucial. Gen Z is known for its fast, interactive communication style and preference for digital media. Therefore, this community service program is designed to introduce da'wah as an effective two-way communication process in addressing these dynamics. The main objective of this program is to improve digital da'wah literacy and foster motivation and practical skills in creatively conveying Islamic messages through social media platforms. This community service activity is carried out through a series of activities, including outreach, interactive discussions, and practical simulations for creating digital da'wah content. The outreach is intended to provide a basic understanding of da'wah in a digital context. Interactive discussions allow participants to share views and understand how da'wah can be carried out effectively in cyberspace. Meanwhile, the da'wah content creation practice provides participants with the opportunity to directly engage in creating da'wah messages that can be disseminated through social media. Evaluation of the activity is carried out through pre- and post-tests held before and after the program implementation. The analysis results showed an increase in participants' understanding of more than 35% across all tested indicators. The highest increase (56.3%) was recorded in their understanding of the importance of two-way communication in da'wah. Previously, many participants considered da'wah to be an activity limited to religious leaders. However, after participating in this program, they began to understand that da'wah is a task for every individual, and can be carried out through media closely related to their daily lives. Overall, this program succeeded in increasing knowledge, critical awareness, and enthusiasm for contextual da'wah among Gen Z.

This study aims to understand how learning about rainbows can improve elementary school students' understanding of basic science concepts, particularly regarding the refraction of light and the color spectrum. The concept of rainbows is an important part of Natural Science (IPA) lessons because it involves optical phenomena that can be directly observed and related to students' daily experiences. In this study, the method used is a literature study, namely by collecting, reviewing, and analyzing various relevant library sources, such as scientific articles, textbooks, and educational journals that discuss the topic of science learning and the rainbow phenomenon. The results of this study indicate that learning about rainbows can be done through various interactive and fun approaches, such as through practical experiments using prisms, water droplets, or other simple media that can demonstrate the process of refraction of white light into a color spectrum. In addition, the use of visual media such as images, animated videos, and digital simulations has also proven effective in helping students understand the process of rainbow formation more concretely. Creative activities such as drawing rainbows, making color models, or role-playing as light and water droplets can also increase active student participation and make learning more enjoyable. This study also emphasizes the importance of integrating rainbow learning into the elementary school science curriculum systematically and contextually. Rainbow materials not only introduce scientific concepts in a fun way, but also develop critical thinking, observation, and experimental skills in children. With the right approach, this learning can foster students' interest in science from an early age. Therefore, the results of this study are expected to contribute positively to the development of more effective, creative, and developmentally appropriate science learning methods for elementary school students.

Bullying is a recurring issue and has become a widespread concern, particularly among children and adolescents in school environments. Schools, which should ideally be safe spaces for learning, building friendships, and experiencing personal growth, often turn into places of fear and psychological distress for some students. This is largely due to the frequent violation of human rights (HR) that often goes unaddressed or is underestimated. Bullying can take many forms, including verbal, psychological, physical abuse, and increasingly, cyberbullying. Each of these forms can cause serious harm not only to the victims—who may suffer from emotional and mental trauma—but also to the perpetrators, who may experience long-term psychological consequences and develop deviant or aggressive behavior patterns. In Indonesia, bullying remains a significant issue and a major concern in the education sector. Nearly every school has faced incidents of bullying in one form or another. Cyberbullying, in particular, is harder to monitor and control since it often occurs outside the school’s jurisdiction and is carried out through social media platforms. Efforts to tackle bullying must go beyond merely protecting and supporting the victims. A comprehensive approach is necessary, one that also focuses on preventive education. Students, teachers, and parents must be consistently educated on the negative impacts of bullying, the importance of empathy, and a deeper understanding of human rights. Moreover, strict and clear sanctions must be imposed on perpetrators as a form of legal enforcement and deterrence. With a holistic strategy that involves all elements of the school and the wider community, it is hoped that educational institutions can truly become safe, inclusive, and supportive environments. Such conditions are essential for fostering not only academic growth but also the psychological well-being and character development of the nation's children.

Kota Bandar Lampung merupakan sebuah kota yang terletak di Provinsi Lampung, Lampung merupakan Provinsi yang terletak di ujung selatan Pulau Sumatera sekaligus menjadi pintu gerbang antar Pulau Jawad an Pulau Sumatera dan dijuluki sebagai kota “Tapis Berseri” menggambarkan kota yang aman, patuh, sejahtera, bersih, sehat dan indah. Pada tahun 2023 jumlah wisatawan mencapai 13,7 juta jiwa meningkat 25% dibandingkan tahun 2022. Berdasarkan dari data Badan Pusat Statistik (BPS) kunjungan wisatawan tahun 2024 tercatat sejumlah 17,8 juta jiwa dengan peningkatan 25% dari target yang di tetapkan oleh pemerintah Provinsi Lampung. Dengan ini menunjukan bahwa perkembangan sektor pariwisata di Lampung terus menunjukan tren positif dalam beberapa tahun terakhir, dengan ini hotel-hotel berbintang dan penginapan terus bertambah sering kali membuat wisatawan sulit dalam menentukan pilihan hotel. Dengan adanya penelitian ini bertujuan untuk mempermudah wisatawan dalam memilih hotel dengan menerapkan metode Analythic Hierarchy Process (AHP) dan Elimination and Choice Expressing Reality (ELECTRE) dalam proses pemilihan hotel yang relavan di Bandar Lampung. Pemilihan hotel yang tepat membutuhkan pertimbangan berbagai kriteria seperti harga, fasilitas, lokasi, dan pelayanan. Dengan menggunakan metode AHP dan ELECTRE hasil yang diperoleh nanti yaitu memberikan rekomendasi hotel yang optimal berdasarkan perbandingan alternatif yang ada. Penelitian ini diharapakan dapat memberikan kontribusi dalam Sistem Pengambilan Keputusan (SPK) yang lebih efisien dan objektif dalam pemilihan hotel di Bandar Lampung.

This study aims to: 1) describe the metacognitive awareness profile of students in physics learning, 2) describe the science process skills profile of students in physics learning, and 3) analyze the relationship between metacognitive awareness and students' science process skills in physics learning. This research used a quantitative approach with descriptive data analysis techniques and a causal research design. The population of the study consisted of 120 students from SMP Negeri 20 Singkawang, with a sample selected using saturated sampling techniques. Data collection was performed using two instruments: the Metacognitive Awareness Inventory (MAI), which includes 45 statements, and a science process skills test consisting of 14 multiple-choice questions designed to evaluate core cognitive competencies. The findings of the study indicated that: 1) the metacognitive awareness of students in grades VIIIA, VIIIB, VIIIC, and VIIID was categorized as high, 2) the science process skills of students in grades VIIIA, VIIIB, VIIIC, and VIIID were also categorized as high based on overall performance metrics, and 3) there was no significant relationship between metacognitive awareness and students' science process skills. Based on these results, the hypothesis test concluded that there is no significant relationship between metacognitive awareness and science process skills, suggesting that the correlation between the two variables is low. This study contributes to understanding the profiles of metacognitive awareness and science process skills in physics learning, as well as their lack of correlation, which can serve as a basis for further research and the development of innovative strategies to improve both aspects in future physics education.

Pneumonia ialah penyakit Infeksi Saluran Pernapasan Bawah yang bersifat akut pada parenkim paru meliputi alveolus dan jaringan interential yang dikarenakan mikroorganisme seperti jamur, virus dan bakteri. Mikroorganisme yang masuk ke saluran pernafasan bagian bawah dapat mengganggu proses pernapasan serta membuat saluran pernapasan tidak berfungsi secara optimal, sehingga proses keluar masuk oksigen juga terhambat dan mengakibatkan gangguan pada pola napas. Beberapa permasalahan lain yang ditimbulkan dari pneumonia seperti adanya penumpukan sputum, otot bantu pernapasan, penurunan ekspansi thoraks dan juga nyeri dada. Dalam perawatanya, tenaga medis berperan dalam pemberian antibiotik selama 8 jam setelah pasien mengalami perawatan serta fisioterapi berperan dalam pemberian intervensi penyinaran Infrared, Chest physiotherapy, dan Myofascial release. Penelitian ini bersifat studi kasus yang mengangkat satu kasus pasien serta mengumpulkan data melalui proses fisioterapi. Intervensi fisioterapi dilakukan sebanyak 4 kali pertemuan di Rumah Sakit dr. Ario Wirawan, Salatiga dengan menggunakan Infrared, Chest physiotherapy yang meliputi Postural Drainage, Clapping, Vibrasi, Latihan Batuk Efektif, Pursed Lip Breathing dan Myofascial release. Setelah menjalani 4 kali terapi, diperoleh hasil kondisi pasien yang mengalami penurunan nyeri dada, penurunan tingkat sesak napas, peningkatan ekspansi thoraks, berkurangnya spasme otot bantu pernapasan dan retensi sputum.

Produksi perhiasan emas PT Gemopia Indonesia melibatkan proses bombing, yang membutuhkan keakuratan tinggi untuk memastikan kualitas produk.  Beberapa kelemahan sistem pencatatan yang masih dilakukan secara manual menggunakan Microsoft Excel termasuk keterlambatan laporan, kurangnya keamanan data, dan kesalahan input yang tinggi. Tujuan penelitian ini adalah untuk mengembangkan dan membangun sistem informasi bombing emas berbasis web yang akan mempercepat proses pencatatan, meningkatkan akurasi data, dan memperbaiki alur pelaporan.  Pengembangan sistem ini menggunakan metode Waterfall, yang mencakup tahapan analisis kebutuhan, perancangan sistem menggunakan UML, pengembangan dengan framework Laravel dan database MySQL, dan pengujian dengan metode black box. Hasil pengujian menunjukkan bahwa seluruh fungsi sistem berjalan dengan baik dan sesuai dengan kebutuhan pengguna, dengan fitur seperti perhitungan otomatis, hak akses pengguna bertingkat, verifikasi dan koreksi data produksi, dan pembuatan laporan dalam format PDF. Sistem mampu menerima input, memproses data , dan menghasilkan output yang tepat dan sesuai dengan spesifikasi.Oleh karena itu, sistem ini dinyatakan layak untuk diimplementasikan secara penuh dalam rangka mendukung efisiensi dan transparansi pelaporan produksi di PT Gemopia Indonesia.

Background: Anxiety before childbirth is a psychological disorder often experienced by pregnant women, especially in the third trimester of pregnancy. Fear of pain, worry about the condition of the fetus, and uncertainty about the delivery process are the main triggering factors. If not handled properly, this anxiety can have serious consequences, such as increased stress hormones (cortisol), sleep disorders, high blood pressure, and even labor complications. Therefore, interventions are needed that not only focus on physical aspects, but also support mental and emotional balance. Objective: The purpose of this activity is to provide education and practical training to pregnant women on anxiety management before childbirth through the application of complementary therapies, and to evaluate the effectiveness of this approach in increasing the readiness and calmness of participants. Method: The activity was carried out at PMB Lismarini, Tulungagung, involving 20 pregnant women in their third trimester. Education was carried out interactively using visual media and group discussions. Next, participants participated in the practice of three types of complementary therapies: (1) deep breathing relaxation with diaphragmatic breathing techniques, (2) aromatherapy using lavender as a relaxation agent, and (3) classical music with a slow rhythm played during the session. Results: This activity showed positive results. Eighty-five percent of participants experienced an increase in knowledge scores after the educational session, and 60% showed a significant decrease in anxiety levels based on questionnaire results. Most participants also reported feeling calmer, more prepared, and more confident in facing childbirth. The satisfaction rate with the activity reached 90%, indicating that the methods implemented were well-received by participants. Conclusion: Complementary therapy combined with education is effective in helping pregnant women manage anxiety before childbirth. This activity emphasizes the importance of a holistic approach to antenatal care.

Penelitian ini bertujuan untuk menganalisis optimasi parameter Photovoltaic (PV) serta daya keluaran dari pembangkit listrik tenaga surya berbasis Genetic Algorithm. Penelitian ini menggunakan metode pengumpulan data melalui studi literatur, simulasi perangkat lunak, serta pengujian model matematis. Penelitian ini menggunakan pendekatan analisis kuantitatif dan komputasional yang berfokus pada pencarian nilai optimal dari parameter-parameter utama sistem PV, seperti tegangan, arus, dan resistansi. Hasil penelitian menunjukkan bahwa dalam proses optimasi sistem PV, tahapan yang dilakukan meliputi pemodelan karakteristik PV, penyusunan fungsi objektif untuk memaksimalkan daya, penerapan algoritma genetika dalam mencari nilai parameter optimal, serta analisis hasil optimasi. Hasil penelitian memperlihatkan bahwa algoritma genetika mampu meningkatkan efisiensi daya keluaran PV dibandingkan metode konvensional, serta menghasilkan parameter yang lebih sesuai terhadap kondisi iradiasi tertentu. Namun, dalam implementasi metode ini juga ditemukan beberapa kendala, seperti kompleksitas perhitungan dan kebutuhan waktu komputasi yang relatif tinggi. Selain itu, diperlukan penyesuaian lebih lanjut untuk penerapan algoritma ini dalam skala sistem pembangkit yang lebih besar.

Tempoyak is a traditional Indonesian fermented food made from the flesh of durian (Durio zibethinus Murr.), which undergoes spontaneous fermentation driven by indigenous microorganisms. The fermentation process generally occurs under anaerobic conditions and is primarily dominated by lactic acid bacteria (LAB), including species such as Lactobacillus, Leuconostoc, and Pediococcus. These bacteria play a crucial role in modifying the physicochemical properties of the product, including a significant reduction in pH, an increase in the concentration of organic acids, and the formation of volatile compounds responsible for tempoyak’s distinctive aroma and overall flavor complexity. In addition to enhancing its unique sensory profile, the fermentation process also extends the shelf life and introduces probiotic potential to the final product. This study aims to observe and analyze the microbiological and chemical aspects of tempoyak fermentation and to evaluate its potential as a local functional food with health-promoting properties. Laboratory tests and microbial analyses confirmed that the fermentation process not only retains essential nutrients but also promotes the growth of beneficial bacteria, provided the production conditions are hygienically maintained at all stages. The study emphasizes the importance of controlled fermentation techniques to ensure product safety and consistent quality. Furthermore, the findings reveal that tempoyak could serve as a promising probiotic-rich food that supports digestive health, contributing to the diversification of traditional Indonesian fermented foods. With its appealing flavor, cultural value, growing consumer interest, and potential health benefits, tempoyak holds significant promise for future development and commercialization, particularly in the field of functional food innovation rooted in indigenous culinary practices.

Diabetes Mellitus merupakan salah satu penyakit kronis yang jumlah penderitanya terus bertambah setiap tahunnya, termasuk di wilayah Puskesmas Brebes. Banyaknya pasien dengan kondisi klinis yang beragam mendorong perlunya suatu metode untuk mengelompokkan pasien berdasarkan tingkat keparahannya. Penelitian ini bertujuan untuk menerapkan algoritma K-Means dalam proses pengelompokan pasien Diabetes Mellitus dengan menggunakan beberapa parameter klinis, yaitu Gula Darah Puasa (GDP), kadar HbA1c, Kolesterol Total (CHOL), serta tekanan darah sistolik dan diastolik. Pendekatan yang digunakan dalam penelitian ini adalah deskriptif kuantitatif dengan metode data mining berbasis algoritma K-Means. Data yang digunakan diperoleh dari rekam medis Puskesmas Brebes. Proses klasterisasi menghasilkan tiga kelompok, yaitu kategori risiko rendah, sedang, dan tinggi. Hasil penelitian menunjukkan bahwa algoritma K-Means mampu melakukan pengelompokan data pasien secara akurat sesuai tingkat keparahan. Hasil tersebut kemudian divisualisasikan melalui sistem berbasis web yang bertujuan untuk mempermudah pihak puskesmas dalam menganalisis kondisi pasien serta mendukung pengambilan keputusan medis yang lebih efektif.

Abstrak  - Coal handling system berfungsi menangani pekerjaan mulai dari pembongkaran batu bara dari kapal/tongkang (unloading area) yang dipindahkan ke conveyor - conveyor, penimbunan/penyimpanan di stock area, ataupun pengisian ke bunker yang digunakan untuk pembakaran di boiler. Dalam proses pembongkaran tersebut tidak boleh terjadi penyumbatan / plugging terutama pada chute conveyor, maka dari itu diperlukan sensor proteksi untuk mencegah hal tersebut. Sensor lama yang digunakan yaitu berjenis Tilt Switch yang selama pemakaian tidak efektif karena banyak masalah sehingga dilakukan pemeliharaan, akibatnya dilakukan penggantian menggunakan sensor berjenis MBD (Microwave Beam Detector). Dari analisa setelah penggantian menggunakan sensor MBD, permasalahan penyumbatan chute berkurang dapat dilihat dari frekuensi pemeliharaan yang semakin berkurang.

Photogrammetry is a technique for measuring and modeling three-dimensional objects by utilizing digital imagery from various perspectives. In the context of reverse engineering, this technique serves to duplicate, reconstruct, and analyze the dimensions of physical objects with a high degree of accuracy. The main advantage of photogrammetry lies in its ability to capture the details of the shape and texture of objects without the need for physical contact. However, the quality of photogrammetry scan results is greatly influenced by a number of technical factors, especially lighting and camera sensor sensitivity (ISO) settings. Variations in these two parameters can cause deviations or dimensional deviations in the resulting 3D model. This study aims to quantitatively evaluate the influence of lighting intensity and camera ISO setting on dimensional deviation in photogrammetry scan results. The research method used is experimental, where the dimensions of the scanned object are compared to the original dimensions using precision measuring instruments. The results showed that both the lighting level and the ISO setting had a significant influence on the accuracy level of the 3D model. The ideal lighting intensity range was found to be in the range of 125–150 lux, where shadows and light reflections could be minimized. Meanwhile, the use of low ISO (around 200) is able to produce cleaner image textures and minimize noise, resulting in smaller dimensional deviations. Additionally, the interaction between moderate lighting and low ISO is proven to provide the best scanning accuracy. This combination is able to maintain a balance between image quality and surface detail of the object. These findings not only provide practical recommendations regarding the regulation of scanning conditions, but can also serve as a guideline for industry practitioners and academics in improving the quality of reverse engineering results. With a proper understanding of lighting and ISO variables, the photogrammetry process can be optimized to produce more accurate and efficient 3D models.

Photogrammetry is a widely used technique in reverse engineering that utilizes photographs taken from multiple angles to capture the geometric structure and surface textures of physical objects. This method has gained popularity due to its cost-effectiveness and time efficiency compared to more expensive alternatives such as laser scanning. However, one of the primary limitations of photogrammetry is its susceptibility to dimensional deviations that can affect the accuracy of the resulting 3D model. Among the influential parameters, the number of photos taken and the camera’s shutter speed play a crucial role in determining the level of geometric precision. This study aims to analyze the effect of the number of photos and shutter speed on dimensional deviation in 3D reconstruction results. It also seeks to determine the optimal combination of these parameters to enhance model accuracy in reverse engineering applications. The research method used is an experimental approach, in which variations of photo quantity and shutter speed are applied during image capture. The resulting photographs are processed into a 3D model using Computer-Aided Design (CAD) software and compared with the actual dimensions of the object under study. The findings reveal that both the number of photos and shutter speed significantly influence dimensional accuracy, both individually and interactively. The best results were obtained using a combination of 48 photos with a shutter speed of 0.020 seconds, yielding the smallest deviation of 7.6 mm. In contrast, a combination of 36 photos with the same shutter speed produced the highest deviation at 10.6 mm. ANOVA analysis yielded a p-value < 0.05 and an R² value of 94.21%, confirming the importance of selecting appropriate imaging parameters for accurate photogrammetry outcomes.

Peningkatan transaksi dalam platform e-commerce seperti Shopee menuntut adanya sistem prediksi status pesanan yang akurat, guna mengoptimalkan pelayanan dan mengurangi pembatalan maupun keterlambatan pengiriman. Penelitian ini bertujuan membangun model klasifikasi status pesanan (selesai atau batal) pada toko Stuftech.Id menggunakan algoritma C4.5. Data yang digunakan merupakan transaksi pesanan mencakup metode pembayaran, kategori wilayah pengiriman, dan ongkos kirim. Proses klasifikasi dilakukan menggunakan RapidMiner dengan tahapan preprocessing, pembangunan decision tree, dan evaluasi model. Hasil analisis menunjukkan bahwa atribut “Kategori Pulau” memiliki nilai gain tertinggi sehingga dipilih sebagai node akar. Model yang dibentuk menghasilkan akurasi sebesar 86%, dengan recall 100% untuk pesanan selesai namun hanya 6,67% untuk pesanan batal. Temuan ini mengindikasikan bahwa algoritma C4.5 efektif dalam memprediksi pesanan yang berhasil, namun perlu peningkatan dalam mendeteksi potensi pembatalan. Implementasi model ini dapat membantu pelaku usaha dalam mengambil keputusan operasional secara proaktif.

SMA Negeri 1 Baturiti merupakan salah satu instansi pendidikan di bawah naungan Dinas Pendidikan Kabupaten Tabanan yang memiliki berbagai aset penunjang kegiatan belajar mengajar. Proses pelaporan aset selama ini masih dilakukan secara manual menggunakan Microsoft Word, sehingga kurang efisien dan sering mengalami keterlambatan dalam pelaporan kepada Dinas Pendidikan. Untuk mengatasi permasalahan tersebut, dirancang dan dibangun sistem dengan judul Optimalisasi Pengelolaan Inventaris Sekolah Melalui Sistem Inventory Berbasis Web di SMA N 1 Baturiti. Sistem ini dikembangkan menggunakan bahasa pemrograman PHP dan database MySQL, serta dilengkapi fitur pencetakan laporan dengan PHP Word dan PHP Excel. Sistem ini mempermudah proses input data aset dan menghasilkan laporan yang lebih cepat, akurat, dan terstruktur. Dengan adanya sistem ini, diharapkan pelaporan aset sekolah kepada Dinas Pendidikan dapat dilakukan secara lebih tepat waktu dan efisien.

This research aims to comprehensively explore the strategic role of educators in improving the quality of learning at the elementary school level. In the context of basic education, teachers play a central role as agents of change and the main drivers in the learning process. The main focus of this research includes three important aspects, namely the professionalism of teachers in carrying out their duties, the challenges faced in the implementation of teaching and learning activities, and optimization strategies carried out to improve the quality of learning. The research was conducted at SDN 2 Kerso, Jepara Regency, using a descriptive qualitative approach. Data collection techniques include in-depth interviews with educators and principals, direct observations in the classroom, and documentation of learning implementation plans and other supporting activities. The results of the study showed that the teachers in the school applied the practice of professionalism through work discipline, mastery of materials, pedagogical skills, and a humanist approach to students. In addition, they also use learning strategies that are adaptive, creative, and based on student needs. However, in practice, teachers face various challenges, including the diversity of student characters, low learning motivation, the influence of the family environment, limited learning facilities, and the lack of periodic training. To answer these challenges, teachers make various optimization efforts, such as participating in professional training, establishing collaboration between teachers, implementing reflective supervision, and building active communication with parents and the community. Support from school principals, committees, and social environments is also an important factor in supporting learning effectiveness. This study concludes that the improvement of the quality of learning in elementary schools is largely determined by the capacity, commitment, and ability of teachers to manage challenges creatively and professionally. With systemic support and sustainability of competency development, the role of teachers can be significantly optimized to create meaningful, effective, and sustainable learning.

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.