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    Dynamics of Father attachment in Families with Children Experiencing Speech Delay

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    Speech Delay in Children Requires Complete Parent Attachment to Catch Up on Developmental Gaps. Many fathers have not yet understood the importance of this role, which can impact the child's social development, cognitive skills, abilities, and self-confidence. This research aims to explore father attachment dynamics in families with children experiencing speech delay. Using a qualitative phenomenological approach, the research involved four father participants with children aged 3-6 years experiencing speech delays. Data was collected through non-participant observation, semi-structured interviews, and documentation, then analyzed using Interpretative Phenomenological Analysis (IPA). The results revealed five primary themes: the complexity of speech delay, child development, paternal involvement, family support, and paternal deprivation. The research findings demonstrate that children with speech delays require comprehensive parent attachment. Father attachment is formed through consistent involvement that emphasizes interpersonal communication, openness, and speech stimulation in daily activities. Family support motivates fathers to build attachment by meeting the child's emotional needs. Conversely, paternal deprivation causes child alienation and delays in language development and other aspects. This research highlights the urgency for fathers to establish attachment with children experiencing speech delays to ensure optimal development.Keterlambatan bicara pada anak memerlukan parent attachment utuh untuk mengejar ketertinggalan perkembangan. Banyak ayah belum memahami pentingnya peran ini, yang dapat berdampak pada perkembangan sosial, kognitif, keterampilan, dan kepercayaan diri anak. Penelitian ini bertujuan mengeksplorasi dinamika father attachment pada keluarga dengan anak yang mengalami keterlambatan bicara. Menggunakan metode kualitatif pendekatan fenomenologi, penelitian melibatkan empat partisipan ayah dengan anak keterlambatan bicara usia 3-6 tahun. Data dikumpulkan melalui observasi non-partisipan, wawancara semi-terstruktur, dan dokumentasi, lalu dianalisis dengan Interpretative Phenomenological Analysis (IPA). Hasil menunjukkan lima tema induk: kompleksitas keterlambatan bicara, perkembangan anak, paternal involvement, dukungan keluarga, dan paternal deprivation. Temuan dalam penelitian ini mengungkapkan, anak dengan keterlambatan bicara membutuhkan parent attachment utuh. Father attachment dibentuk melalui keterlibatan konsisten yang menekankan komunikasi interpersonal, keterbukaan, dan stimulasi bicara dalam aktivitas sehari-hari. Dukungan keluarga memotivasi ayah membangun kelekatan dengan memenuhi kebutuhan emosional anak. Sebaliknya, paternal deprivation menyebabkan keterasingan anak dan lambatnya perkembangan bahasa serta aspek lainnya. Penelitian ini menekankan urgensi ayah untuk membangun kelekatan dengan anak keterlambatan bicara demi perkembangan optimal

    Analisis Penerapan Customized Business Model untuk Meningkatkan Daya Saing di Sektor Wedding Organizer

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    This study analyzes the implementation of a customization business model with four approaches (collaborative, adaptive, cosmetic, and transparent) and marketing strategies at Pangestu Organizer, a wedding and event organizer service business in Kediri City. Qualitative research methods were used with data collection through observation, interviews, and documentation. Pangestu Organizer implements a marketing strategy that focuses on personalized approach and participating in fairs to increase visibility. The four customization approaches contribute to positive client experience and company reputation. Service quality is maintained through the implementation of strict Standard Operating Procedures (SOPs), which support high levels of client satisfaction.Keywords: customization business model, marketing strategy, service quality, client satisfaction, wedding and event organizer, Pangestu Organizer

    Break and Fix It (Brick It) Training: Improving Problem Solving Skills in Student Organizations

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    Student organizations require effective problem-solving skills to navigate challenges and achieve their goals. This community service activity was conducted in response to identified issues within the Himpunan Mahasiswa Program Studi Komunikasi dan Penyiaran Islam (HMPS KPI) at UIN Sultan Aji Muhammad Idris Samarinda, including unclear task divisions and misaligned work programs. Adopting an experiential learning approach, 16 members attended the training, which centered on using a fishbone analysis diagram to deconstruct organizational problems. The program's effectiveness was assessed using two levels of the Kirkpatrick evaluation model. Level 1 (reaction) was measured via a satisfaction questionnaire, and Level 2 (cognitive) was measured using a pre-test and post-test design analyzed with a paired sample t-test. The results indicated a highly positive reaction from participants, with 100% rating the training material and benefits as excellent. The cognitive evaluation showed an 8% increase in participants' understanding, with the mean score improving from 58.25 (pre-test) to 66.25 (post-test). Although this increase was not statistically significant (p > 0.05), qualitative feedback confirmed that the training positively impacted the organization by fostering increased participation and enhancing members’ problem-solving abilities. The training successfully provided practical skills, leading to improved organizational dynamics and performance

    REPRESENTASI MULTIKULTURALISME ANTAR ETNIS DI KOTA SAMARINDA MEWUJUDKAN HARMONISASI SOSIAL IBU KOTA NEGARA NUSANTARA

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    Penelitian ini bertujuan untuk mendeskripsikan implikasi keragaman budaya pada masyarakat khususnya di Kelurahan Sidodadi Samarinda Ulu dan untuk mengetahui hubungan antar etnis penduduk yang terjadi serta nilai-nilai yang berkembang dalam sudut pandang Multikulturalisme. Penelitian ini menggunakan metode pendekatan kualitatif dengan jenis penelitian deskriptif yang dilakukan pada masyarakat Kelurahan Sidodadi Samarinda Ulu yang dipilih secara proporsional. Teknik pengumpulan data yang digunakan adalah wawancara, observasi dan dokumentasi. Hasil penelitian menemukan bahwa: (1) representasi multikulturasime yang terjadi di kota Samarinda, khususnya di Kelurahan Sidodadi Samarinda Ulu ditunjukkan dengan masyarakat yang terdiri dari beberapa etnis yang selalu mengedepankan dan mendalami makna harmoni serta kepedulian sosial yang tumbuh dalam kehidupan bertetangga dan bermasyarakat. Capaian selanjutnya yaitu adanya sebuah implikasi didalamya, adanya perkembangan pola pikir masyarakat antar etnis di Kelurahan Sidodadi Samarinda Ulu lebih menghargai keberagaman. (2) hubungan antar etnis sebagai penduduk di Kelurahan Sidodadi Samarinda Ulu yang direfleksikan dari interaksi sosial dan proses sosial terjadi dalam beberapa bentuk dan nilai-nilai yang berkembang di dalamnya merupakan representasi multikulturalisme untuk mewujudkan harmonisasi sosial menjelang didirikannya Ibu Kota Negara Nusantara

    No more peaceful spring: An ecocritical reading of D. H. Lawrence Craving for Spring

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    This research examines the representation of spring in D. H. Lawrence's poetry entitled “Craving for Spring”. This representation of spring is examined through the lens of ecocriticism theory and the theory of ecological consciousness found by Bannan-Watts. This research is evaluated by applying qualitative method to examine the data. The main data of the research are in the form of sentences related to ecological consciousness portrayed in the poem. This research found there are three kinds of ecological consciousness in the poem: (1) Comprehending the fundamental nature of the environment, (2) Recognizing the interconnectedness of human and nature. (3) Concerning about the condition of the nature. The result of this research indicates a shift in the meaning of spring. In the past, spring was depicted as natural harmony due to the rebirth of new plants after winter. Today, the meaning of spring has shifted. Spring does not represent the natural beauty. Spring becomes a season that brings fear to the people due to the natural disasters that emerge during spring

    Perbandingan Kinerja Algoritma Jaro-Winkler dan Levenshtein Distance untuk Deteksi Kesalahan Penulisan Bahasa Indonesia pada Karya Ilmiah Mahasiswa

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    Penelitian ini meneliti keterampilan menulis mahasiswa di Politeknik Negeri Ketapang, khususnya dalam konteks penulisan karya ilmiah. Fokus utama penelitian adalah mengidentifikasi dan memperbaiki kesalahan umum, termasuk penggunaan ejaan yang kurang tepat, pemilihan kata yang tidak sesuai, susunan kalimat yang kurang koheren, dan pembentukan paragraf yang kurang efektif. Pentingnya pemahaman tata bahasa dan kaidah kebahasaan dalam menciptakan tulisan yang runtut menjadi sorotan dalam kajian ini. Kesalahan ejaan, sebagai elemen krusial dalam penulisan, dapat dikurangi melalui penerapan aturan yang dijelaskan dalam Pedoman Umum Ejaan Bahasa Indonesia (PUEBI). Selain itu, permasalahan typographical error yang timbul dari tata letak huruf pada keyboard dapat diatasi dengan mempertimbangkan usulan ejaan dari Kamus Besar Bahasa Indonesia. Penelitian ini juga mengusulkan pemanfaatan metode Approximate String Matching (ASM), terutama Algoritma Jaro-Winkler dan Levenshtein Distance, sebagai solusi untuk mengidentifikasi dan memberikan rekomendasi perbaikan terhadap kesalahan penulisan. Tujuan utama penelitian adalah mengembangkan sistem informasi pendeteksi kesalahan penulisan ejaan yang dapat digunakan oleh mahasiswa sebagai alat bantu untuk meningkatkan kualitas Tugas Akhir sesuai dengan standar penulisan yang berlaku. Harapannya, hasil penelitian ini dapat secara efektif meningkatkan kualitas karya tulis ilmiah mahasiswa di Politap, sekaligus memberikan kontribusi positif pada pengembangan sistem pengecekan kesalahan penulisan bahasa Indonesia secara lebih luas

    OPTIMIZATION OF HYDROGEN PURIFICATION USING A TEMPERATURE SWING ADSORPTION SYSTEM (TSA) METHOD BY VARYING TEMPERATURE AND PRESSURE

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    Industrial processes require hydrogen with more than 99% purification so that it can be used for various subsequent processes. Hydrogen purification using a two-pronged PSA system is simulated using Aspen Adsorption software by varying temperature and pressure to obtain high hydrogen purity. And can be done by Purification using TSA (Temperature Swing Adsorbent). Purification using TSA (Temperature Swing Adsorbent) is used to simulate heavy carbonation on a large scale, due to the different nature of the concentration of components to be separated TSA Considering that hydrogen decay is part of the overall network for mobility pathways. The aim of this research is to improve hydrogen purity by exploring effective processes and methods and identifying how temperature and pressure affect hydrogen purity. The exothermic reactions involved in this process tend to be weak due to thermodynamic properties that decrease at low temperatures, resulting in slow reaction kinetics. The exothermic reaction is weak, due to thermodynamics it melts at low temperatures, where the process is characterized by too low kinetics. Industrially, the process is divided into two stages, the first is carried out at lower to high temperatures on zeolite and activated carbon catalysts, where up to 99% TSA has lower operating pressures and operating costs but higher initial costs than PSA. Optimization results of system separation (H₂/CO₂/CH₄/CO/N₂ = 0.564/ 0.031/ 0.266 / 0.084/ 0.055) with a two-bed TSA process using two layers with activated carbon and zeolite adsorbents at a temperature of 298.15 and obtained purity with compositions ranging in H₂ of 99.99%, CO₂ of 0.043%, CH₄ of 0.0085 %, CO of 0.043%, and N₂ of 0.02%. Hydrogen purification with the TSA system is not widely used due to high energy consumption and large adsorbent supplies. the cycle is very long as a result of the time-consuming heating and cooling process which leads to a larger amount of adsorbent and a higher investment required for the process. However, this method is chosen when high product purification cannot be achieved with PSA

    ANALISIS FAKTOR TERJADINYA CONTRACT CHANGE ORDER PADA PROYEK PEMATANGAN LAHAN RUMAH SAKIT JALAN KEHEWANAN

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    Pembangunan infrastruktur kesehatan merupakan fondasi penting bagi peningkatan layanan publik. Namun, pelaksanaannya sering menghadapi ketidakpastian yang memicu change order kontrak (CCO), yang dapat memengaruhi biaya, waktu, dan kualitas proyek. Penelitian ini bertujuan untuk menganalisis faktor-faktor penyebab terjadinya CCO pada proyek Land Maturation Rumah Sakit Jalan Kehewanan di Kota Samarinda. Pendekatan kualitatif dengan metode studi kasus digunakan dalam penelitian ini. Data dikumpulkan melalui observasi lapangan, wawancara dengan kontraktor dan konsultan, serta peninjauan dokumen proyek. Hasil analisis mengungkap tiga faktor utama pemicu CCO, yaitu: (1) intensitas hujan yang tinggi, yang menyebabkan keterlambatan dan perpanjangan waktu pelaksanaan proyek selama 90 hari; (2) perubahan desain pagar untuk meningkatkan efisiensi konstruksi dan anggaran; dan (3) pengurangan volume urugan tanah sebagai konsekuensi dari perubahan desain tersebut. Disimpulkan bahwa CCO dalam proyek ini dipicu oleh kombinasi faktor eksternal yang tidak dapat dikendalikan (cuaca) dan keputusan teknis internal untuk efisiensi. Temuan ini menegaskan pentingnya manajemen perubahan yang proaktif untuk menangani penyesuaian teknis, waktu, dan biaya secara efektif dalam proyek konstruksi

    Integrasi Data Lapangan dan Citizen Science dalam Sistem Informasi Keanekaragaman Hayati Tropis Berbasis Spasial

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    ABSTRAK Monitoring keanekaragaman hayati di wilayah tropis sering terkendala oleh keterbatasan survei lapangan dan fragmentasi data. Penelitian ini mengembangkan sistem informasi spasial yang mengintegrasikan data lapangan melalui aplikasi Android, data citizen science dari iNaturalist, serta indikator lingkungan berupa NDVI (Normalized Difference Vegetation Index) dan tutupan lahan. Integrasi dilakukan dengan basis data spasial dan mekanisme ETL untuk normalisasi, validasi, serta spatial join dengan data raster.Hasil implementasi menunjukkan bahwa sistem mampu menampilkan distribusi biodiversitas secara terintegrasi dalam peta interaktif. Meskipun data citizen science memberikan kontribusi signifikan, tantangan masih ditemukan pada aspek kualitas data, bias partisipasi, dan perlindungan spesies sensitif. Dengan pendekatan metodologis yang tepat, sistem ini berpotensi menjadi alat pendukung monitoring biodiversitas dan perencanaan konservasi berbasis data.Kata kunci: biodiversitas, citizen science, iNaturalist, NDVI, sistem informasi spasial, Google Earth Engine.ABSTRACT Biodiversity monitoring in tropical regions is often constrained by limited field survey coverage and fragmented data. This study develops a spatial information system that integrates field data collected through an Android application, citizen science contributions from iNaturalist, and environmental indicators such as the Normalized Difference Vegetation Index (NDVI) and land cover. The integration process employs a spatial database and ETL mechanisms for data normalization, quality validation, and spatial joins with raster data.The implementation results demonstrate that the system is capable of displaying biodiversity distribution in an integrated interactive map. Although citizen science data provide significant contributions, challenges remain in terms of data quality, participation bias, and the protection of sensitive species. With appropriate methodological approaches, this system has the potential to serve as a supporting tool for biodiversity monitoring and data-driven conservation planning.Keywords: biodiversity, citizen science, iNaturalist, NDVI, spatial information system, Google Earth Engine

    Arsitektur Edge–Cloud Berbasis AI untuk Optimalisasi Internet of Things Hemat Energi pada Smart City

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    ABSTRAK Konsep Smart City berbasis Internet of Things (IoT) telah banyak diterapkan di kawasan perkotaan dengan dukungan infrastruktur listrik dan jaringan yang memadai. Salah satu pendekatan yang berkembang adalah Sensor-Cloud, yang memadukan sensor, IoT, dan komputasi awan untuk menjamin ketersediaan data waktu nyata di ekosistem kota modern. Namun, pendekatan ini sulit diadaptasi pada kawasan hutan tropis yang memiliki keterbatasan energi listrik, akses jaringan, serta biaya operasional tinggi. Tantangan ini menuntut rancangan arsitektur alternatif yang lebih hemat energi dan sesuai dengan kondisi lapangan.Penelitian ini bertujuan merumuskan sebuah arsitektur konseptual Edge–Cloud berbasis AI (AI-driven) yang mendukung implementasi Green IoT di kawasan hutan tropis. Mikrokontroler pada smart sensor node dilengkapi algoritma AI ringan (TinyML) untuk melakukan pre-processing berupa filtrasi, deteksi anomali, dan kompresi data. Data yang telah diproses kemudian dikirim ke edge server untuk agregasi dan analisis awal, sebelum diteruskan ke pusat data (cloud). Sistem ini ditenagai oleh Pembangkit Listrik Tenaga Surya (PLTS) sederhana sebagai sumber energi terbarukan untuk menjaga keberlanjutan operasional.Hasil konseptual menunjukkan bahwa arsitektur ini berpotensi menekan konsumsi energi transmisi, mengurangi beban bandwidth, dan meningkatkan kecepatan respon sistem terhadap peristiwa penting seperti kebakaran hutan atau intrusi. Simpulan dari penelitian ini adalah bahwa kombinasi Edge–Cloud, AI, dan energi surya dapat menjadi solusi strategis untuk mendukung implementasi Smart City yang berkelanjutan di kawasan hutan tropis.Kata Kunci: Smart City, Edge Computing, AI, Green IoT, TinyML, Pembangkit Listrik Tenaga Surya, Hutan TropisABSTRACT The Smart City concept based on the Internet of Things (IoT) has been widely applied in urban areas with sufficient electricity and network infrastructure. One of the developed approaches is the Sensor-Cloud, which integrates sensors, IoT, and cloud computing to ensure the availability of real-time data in modern urban ecosystems. However, this approach is difficult to adapt in tropical forest areas due to limited electricity, network access, and high operational costs. These challenges demand an alternative architecture that is more energy-efficient and suitable for remote environments.This study aims to formulate a conceptual AI-driven Edge–Cloud architecture to support the implementation of Green IoT in tropical forest regions. Microcontrollers in smart sensor nodes are equipped with lightweight AI algorithms (TinyML) to perform pre-processing such as filtering, anomaly detection, and data compression. The processed data is then sent to the edge server for aggregation and initial analysis before being forwarded to the central cloud. The system is powered by a simple Solar Power Plant (PLTS) as a renewable energy source to ensure sustainable operation.The conceptual results indicate that this architecture has the potential to reduce transmission energy consumption, lower bandwidth requirements, and improve system responsiveness to critical events such as forest fires or intrusions. The conclusion of this study is that the integration of Edge–Cloud, artificial intelligence, and solar energy can serve as a strategic solution to support sustainable Smart City implementation in tropical forest areas.. Keyword: Smart City, Edge Computing, Artificial Intelligence, Green IoT, TinyML, Solar Power, Tropical Fores

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