Jurnal Ilmiah Universitas Islam Balitar
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PENGARUH PENGUNAAN BIOMATRICONDITIONING DAN DEFOLIASI TERHADAP PERTUMBUHAN DAN HASIL TANAMAN KYURI (Cucumis sativus L.)
No full textKyuri (Cucumis sativus L.) merupakan varietas mentimun yang bernilai ekonomi tinggi dan memiliki potensi ekspor, namun produksinya di Indonesia mengalami penurunan akibat mutu buah rendah dan hasil panen yang belum optimal. Penelitian ini bertujuan untuk mengetahui pengaruh biomatriconditioning dan defoliasi terhadap pertumbuhan dan hasil tanaman Kyuri, serta interaksinya. Biomatriconditioning merupakan perlakuan fisiologis benih menggunakan agens hayati seperti Beauveria sp., Trichoderma sp., dan Mikoriza sp., yang bertujuan meningkatkan vigor benih dan efisiensi serapan hara. Defoliasi dilakukan sebagai upaya untuk mengarahkan distribusi fotosintat ke organ generatif dengan memangkas daun bagian bawah. Rancangan Acak Kelompok (RAK) faktorial digunakan dalam metode penelitian ini dengan dua faktor, yaitu tiga jenis biomatriconditioning dan tiga taraf defoliasi, menghasilkan 9 kombinasi perlakuan dengan 3 ulangan. Penelitian ini menunjukkan hasil bahwa perlakuan kombinasi biomatriconditioning Trichoderma sp. dan defoliasi delapan daun bawah (B1M2) memberikan pengaruh terbaik tinggi tanaman (162,13 cm), jumlah daun (22,44 helai), diameter batang (11,37 mm), jumlah buah (8,67 buah/tanaman), bobot buah (904,50 gram/tanaman), dan panjang buah (28,14 cm). Perlakuan ini mampu meningkatkan pertumbuhan vegetatif dan hasil generatif tanaman Kyuri secara signifikan. Temuan ini menegaskan bahwa penerapan biomatriconditioning berbasis agens hayati dan teknik defoliasi merupakan pendekatan agronomis yang efektif dan berkelanjutan dalam meningkatkan produktivitas tanaman Kyuri
A Convolutional Neural Network Model for the Handwritten Hijaiyah Recognition System (SiPuTiH) with Domain-Specific Data Augmentation
No full textThis paper presents SiPuTiH, a Convolutional Neural Network (CNN)-based approach for handwritten Hijaiyah character recognition that addresses performance degradation caused by morphological variations in handwriting. The study employs a dataset of 1,680 handwritten images representing 30 Hijaiyah characters, where domain-specific data augmentation is applied solely during the training phase. The augmentation strategy incorporates controlled geometric and stroke-based transformations, including rotation, scaling, shear, slant variation, and stroke thickness adjustment, to model realistic handwriting diversity. The proposed CNN architecture consists of multiple convolutional layers with ReLU activation, max-pooling operations, and a softmax classifier. Experimental results show that the proposed method achieves an accuracy of 99.70%, with weighted precision and F1-score of 99.85% and 99.77%, respectively. Furthermore, the use of domain-specific data augmentation effectively reduces misclassification among visually similar characters, such as ta and tsa, demonstrating improved robustness and generalization capability
DESIGNING A HIGH SCHOOL E-LEARNING UI USING THE USER-CENTERED DESIGN METHOD
No full textPendidikan adalah aspek yang sangat penting bagi setiap individu, karena melalui pendidikan, kualitas suatu bangsa dapat ditingkatkan, Perkembangan teknologi informasi dan komunikasi mendorong munculnya e-learning sebagai solusi pembelajaran modern. Namun, banyak platform e-learning belum dirancang sesuai kebutuhan pengguna, terutama dalam aspek User Interface (UI) dan User Experience (UX), sehingga mengakibatkan pengalaman belajar yang kurang efektif. User Centered Design (UCD) adalah metode yang menempatkan pengguna sebagai fokus utama dalam proses desain. SMA xyz telah menerapkan e-learning, namun penggunaannya masih rendah karena tampilan dan fitur yang rumit.Penelitian ini bertujuan menghasilkan rekomendasi desain UI e-learning menggunakan metode UCD untuk meningkatkan minat pengguna. Hasil penelitian menunjukkan bahwa penerapan UCD berhasil meningkatkan kualitas antarmuka: learnability naik dari 76% menjadi 100%, efisiensi tugas meningkat dari 0,012 menjadi 0,063 task per second (kategori “Sangat Cepat”), dan evaluasi dengan System Usability Scale(SUS) menunjukan skor SUS naik dari 40,05 (Poor) menjadi 72,18 (Good) menandakan perbaikan signifikan dalam kepuasan dan penerimaan pengguna. Ini membuktikan bahwa UCD efektif dan mampu memberikan solusi konkret terhadap permasalahan desain sistem e-learning
DESIGN OF A DECISION SUPPORT SYSTEM FOR SIMULATING THE DETERMINATION OF DATUAK SUKU SIKUMBANG NAGARI PANINJAUAN IN THE IMPLEMENTATION OF THE MINANGKABAU NATURAL CULTURE COURSE
No full textTradisi Minangkabau dalam menentukan datuak sebagai pemimpin adat umumnya dilaksanakan melalui forum musyawarah dengan memperhitungkan aspek adat, agama, kepemimpinan, dan sosial. Meski demikian, pemahaman mahasiswa di mata kuliah Budaya Alam Minangkabau terkait proses tersebut masih bersifat konseptual dan sulit diaplikasikan. Oleh sebab itu, penelitian ini disusun guna merancang dan membangun Sistem Pendukung Keputusan (SPK) berbasis web dengan pendekatan Analytical Hierarchy Process (AHP) sebagai sarana simulasi pemilihan datuak yang lebih sistematis serta objektif. Proses pengembangannya menerapkan model Incremental melalui tahapan Communication, Planning, Modelling, Construction, dan Deployment. Pembuatan sistem memanfaatkan bahasa pemrograman PHP 8 dengan framework CodeIgniter 4, basis data MySQL, dan Bootstrap. Uji validitas, praktikalitas, dan efektivitas dikerjakan dengan melibatkan dosen dan datuak. Berdasarkan hasil pengujian diperoleh validitas sebesar 0,87 (valid), praktikalitas 0,78 (praktis), dan efektivitas 0,88 (sangat efektif). Dengan demikian, sistem yang dihasilkan dinyatakan layak dijadikan media pembelajaran interaktif sekaligus instrumen pendukung pengambilan keputusan adat dalam kebudayaan Minangkabau
Analisis Kinerja Keuangan Sektor Rumah Sakit yang Terdaftar di Bursa Efek Indonesia Sebelum dan Setelah Covid 19
No full textPandemi COVID-19 berdampak signifikan pada kinerja keuangan sektor kesehatan, terutama rumah sakit, melalui peningkatan biaya operasional, penurunan pasien non-COVID, dan perubahan kebijakan pembiayaan. Penelitian ini bertujuan menganalisis perubahan kinerja keuangan rumah sakit yang terdaftar di Bursa Efek Indonesia (BEI) sebelum, selama, dan sesudah pandemi. Metode yang digunakan adalah kuantitatif deskriptif-komparatif dengan analisis rasio keuangan menggunakan data sekunder laporan keuangan periode 2018–2024. Rasio yang dianalisis meliputi ROA, ROE, NPM, CR, dan DER. Hasil penelitian menunjukkan adanya peningkatan profitabilitas dan solvabilitas rumah sakit pascapandemi, menandakan efisiensi operasional dan penguatan manajemen keuangan. Namun, likuiditas mengalami fluktuasi akibat tingginya biaya dan perubahan struktur pendapatan. Rumah sakit besar PT Siloam International Hospitals Tbk. (SILO) menunjukkan pemulihan lebih cepat dibanding rumah sakit kecil
Pelatihan Pembuatan Yoghurt dengan Penambahan Selai Buah Belimbing untuk Peningkatan Nilai Gizi
No full textThe availability of locally based processed food products remains limited, despite the high potential of starfruit (Averrhoa carambola) in the local area. Many community members, particularly youth members of Karang Taruna, lack the skills to process starfruit into value-added products such as yogurt and jam. Therefore, training on the production of yogurt using local starfruit as the main ingredient is necessary to enhance community knowledge and skills in food processing. The implementation method of this community service program included seminars, demonstrations, and hands-on practice in the production of yogurt and starfruit jam in the field. Community service activities improved participants\u27 skills in processing starfruit into edible and saleable probiotic items. This training also raises community awareness of the importance of optimizing the use of local agricultural products in a sustainable manner
Kerak Telor in an Ethnobiological Perspective: Integration of Indigenous Knowledge and Biodiversity in Educational Videos
No full textIndonesia is a megadiverse country, but the younger generation\u27s understanding of its biodiversity is still low, especially in linking the concept of biodiversity with indigenous knowledge. This research aims to examine the traditional food of Kerak telor from an ethnobiological perspective and promote it through educational videos. Information was collected through in-depth interviews with key informants using snowball sampling techniques, as well as visual documentation of the Kerak telor process. The results of the study show that the Kerak telor utilizes nine biological species, comprising six plant species and three animal species, with the dominance of the Monocots group reflecting the relationship of the Betawi people with the local flora. The manufacturing process retains traditional tools such as braziers, pans, fans, and sodets, reflecting the preservation of local cultural values and culinary technology. These results are presented in a 12-minute 32-second educational video, recommended as a contextual learning medium based on indigenous knowledge to support students\u27 understanding of biodiversity and local wisdom
Response of Plant Growth Promoting Rhizobacteria (PGPR) And Biochar Towards Growth and Yield of Domba Variety of Peanut (Arachis Hypogaea L.)
No full textAbstract: This experiment aims to obtain the appropriate ratio of Plant Growth Promoting Rizobacteria (PGPR) and Biochar to increase the growth and yield of Peanut Plants (Arachis Hypogaea L.) Domba Variety. This experiment uses a Randomized Block Design arranged in a factorial manner consisting of two factors and repeated three times. The first factor is the concentration of PGPR including P1: PGPR concentration of 10 ml/L, P2: PGPR concentration of 15 ml/L, P3: PGPR concentration of 20 ml/L. The second factor is the dose of Biochar including B1: Control, B2: dose of 3 tons/ha (equivalent to 18 gr/polybag), B3: dose of 6 tons/ha (equivalent to 36 gr/polybag). The variables observed in this study are plant height, number of primary branches, Number of Pods per Plant, Fruit Weight per Plant (grams), Weight of 100 Seeds. The data analysis used statistical analysis of variance (ANOVA). If the results of the analysis of variance showed significant differences, Duncan\u27s test was used at the 5% level. This experiment was conducted in Tingal Village, Garum District, Blitar Regency, East Java, from December 2024 to March 2025. Based on the research results, the best treatment combination was P3B3 (PGPR 20 ml/L + biochar 6 tons/ha). This treatment combination increased growth and yield from the vegetative to the generative phases of peanut plants
Teaching Writing Through Project-Based Learning: A Case Study at MAN Kota Blitar
No full textWriting is an essential skill in language learning that involves not only grammar and vocabulary but also the ability to generate and organize ideas coherently. Many Indonesian students, however, continue to struggle with writing in English due to limited proficiency and low motivation. To address these challenges, this study investigates the use of Project-Based Learning (PjBL) in teaching narrative writing and explores how students respond to its application. Employing a qualitative case study design, the research was conducted at MAN Kota Blitar in the 2024/2025 academic year. Data were gathered through classroom observations, semi-structured interviews, and document analysis involving one English teacher and a group of tenth-grade students. The findings indicate that the teacher applied PjBL through three key stages: project development, presentation, reflection, and evaluation. Students demonstrated positive responses, particularly in terms of creativity, communication, and comprehension of narrative text. The results suggest that PjBL can foster active learning and improve students’ writing competence, making it a valuable approach for writing instruction in EFL classrooms
KOMUNIKASI DATA LORA UNTUK MENDETEKSI GANGGUAN PADA JARINGAN DISTRIBUSI LISTRIK: untuk KOMUNIKASI DATA LORA UNTUK MENDETEKSI GANGGUAN PADA JARINGAN DISTRIBUSI LISTRIK
No full textDisturbances in power distribution networks, such as growing trees or the presence of animals near electrical cables, can disrupt electricity flow and pose safety risks. To address this, a remote monitoring system was developed using LoRa (Long Range) communication for long-distance, low-power data transmission. The system integrates a JSN-SR04T ultrasonic sensor to measure the distance between objects (e.g., trees) and power lines. When the detected distance is less than the safe limit of 2.5 meters, a warning buzzer is triggered, and the ESP32-CAM module captures an image of the surrounding area. Data and images are transmitted via LoRa RA-02 in a point-to-point setup and displayed in real-time using an IoT platform. Testing results show that the ultrasonic sensor provides accurate measurements with an average error of 1.12%. LoRa communication remained reliable up to approximately 348 meters, with minor interference caused by physical obstacles. The ESP32-CAM successfully captured images when objects were detected. This system proves to be effective for early detection and monitoring of potential disturbances in power distribution networksGangguan pada jaringan distribusi listrik, seperti tumbuhan yang tumbuh terlalu dekat atau keberadaan hewan liar, dapat mengganggu kontinuitas suplai listrik. Untuk mengatasi hal ini, dikembangkan sebuah sistem monitoring jarak jauh menggunakan teknologi LoRa (Long Range) yang hemat daya dan mampu menjangkau area luas. Sistem ini terdiri dari sensor ultrasonik JSN-SR04T untuk mendeteksi jarak pohon terhadap kabel listrik dan modul ESP32-CAM untuk mengambil gambar saat terdeteksi hewan atau objek yang berpotensi menimbulkan gangguan. Data jarak dan gambar dikirim secara real-time menggunakan modul LoRa RA-02 dengan komunikasi point-to-point. Pengujian menunjukkan bahwa sensor dapat membaca jarak dengan rata-rata error 1,12%, sementara LoRa mampu mengirim data hingga jarak ±348 meter meskipun terdapat hambatan fisik. Kamera ESP32-CAM juga berhasil mengambil gambar objek dengan baik. Hasil ini membuktikan bahwa sistem dapat mendeteksi potensi gangguan secara efektif dan memberikan informasi yang dibutuhkan oleh operator melalui platform monitoring. Dengan demikian, sistem ini dapat menjadi solusi preventif untuk meningkatkan keandalan jaringan distribusi listrik