bluuebunny/crossref_metadata_2025_split huggingface dataset:
Studi Kualitas Pengolahan Air Sungai Ogan Kertapati dengan Menggunakan Metode Elektrokoagulasi
Authors: Afifah Ummu , Setiawan Andi Arif , Atina Atina 
Published: July 2024

Kegiatan industri dan kegiatan rumah tangga di sungai berpotensi mempengaruhi kualitas air. Upaya peningkatan kualitas air dapat dilakukan dengan cara fisik, salah satunya dengan penggunaan elektrokoagulasi. Penelitian ini bertujuan untuk menganalisis penurunan ion-ion terlarut di sampel air sungai Ogan Kertapati dengan cara elektrokoagulasi. Metode yang digunakan berupa survey di lokasi Sungai Ogan Kertapati Palembang, pengamatan langsung disertai pengambilan sampel. Tahap selanjutnya dilakukan percobaan (eksperimen) di laboratorium. Elektrokoagulasi dilakukan dengan memvariasikan lama waktu elektrolisis (30, 60 dan 90 menit). Hasil menunjukkan bahwa penurunan ion-ion terlarut terbesar pada luas elektroda 3 cm x 10 cm, lamanya waktu 90 menit dengan penurunan sebesar 248,12 μS/cm, Uji F2 faktor menunjukkan variasi lama waktu dan luas elektroda yang digunakan didapatkan masing-masing memiliki data sebanyak 9 data, kemudian dilakukan Uji Beda Nyata Terkecil (BNT) antara perlakuan waktu dan luas elektroda yang berbeda menunjukan perbedaan yang nyata terhadap penurunan ion-ion terlarut.
Index Premium Trends Resulting from Composition Changes to the S&P 500 and Its Implications for Market Efficiency
Authors: Nie Dongfang 
Published: July 2024

Transient price pressures immediately before the announcement events and afterward indicate that there is a violation of market efficiency. This paper empirically investigates the state of the market efficiency by following a procedure outlined by Petajisto who looked at trends in index premium and cumulative abnormal returns from 1990 to 2005. This paper provides an update on index premiums and its implications from 2004 to 2012. For additions and deletions to the S&P 500, we find that the cumulative abnormal return from announcement to effective day has averaged 3.98 % and -9.90%. The index premium has varied from 0.05% in 2011 to a peak of 36.2% in 2008, with an average of 4.5% from 2004 to 2012. We claim that index premium and Cumulative Abnormal Return for additions has decreased in the long run. We also claim that the deletions have a stronger impact on the index premium than the additions.
The Benefits of Revenue Diversification on Bank Profitability and Stability: An Empirical Study on Indonesian Commercial Banks
Authors: Setiadi Robertus , Danarsari Dwi Nastiti 
Published: July 2024

Traditional business activities of commercial banks in Indonesia experienced a shift as indicated by the percentage of non- interest income per interest income from 26.1% in 2014 to 51.3% in 2020. The study aims to determine revenue diversification, internal determinants, and macroeconomic determinants in affecting profitability, stability, while also observing the role of bank capitalization. This study analyze sample of Conventional Commercial Banks in Indonesia from 2013 to 2020, using dynamic panel data GMM. Research proves that direct effect of non-interest income on revenue diversification has a significant positive effect on ROA and risk adjusted ROA, as well as a negative effect on NPL; as the indirect effect of only significantly affects RAROA. However, there are contradictions in the results of research using the interaction variable of revenue diversification with bank capitalization. The empirical test results also prove the role of the control variables cost income ratio, deposit to total asset, bank capital, loan to total asset, bank size, inflation rate, and GDP growth in affecting bank performance and stability. This study proves the specific benefit of revenue diversification for commercial banks in Indonesia as a whole, although it does not apply to BUKU 1 banks.
Exploring Trauma-Informed Teaching through the Voices of Female Youth
Authors: Crosby Shantel , Day Angelique , Somers Cheryl , Baroni Beverly , Jones Kristian , Hong Jun Sung 
Published: July 2024

Trauma-exposed, female students experience distinct challenges that impact their academic well-being. This study qualitatively explores female students’ school experiences from two high school settings—one trauma-informed school and one comparison school that did not utilize a trauma-informed approach. This study examines how students describe emotional experiences in their academic environment and suggestions for school improvement; as well as how their descriptions differ from comparison school students. Trauma-informed school participants experienced their education environment as emotionally supportive, but were triggered by other students. They also suggest that teachers recognize their unique circumstances, but describe stronger connections to school staff than students at the non-trauma-informed school. Implications are addressed.
Persisting, Coping, and Advocating: Online Trauma of Latina Bilingual Pre-service Teachers
Authors: Arellano Lucy , Soltero López Ana K. , Carrizales Delia , Piña-Watson Brandy 
Published: July 2024

This study examines the online traumatic experiences of bilingual Latina pre-service teachers. Tasked with developing content for their students, while also being students themselves, positions them in a very particular and stressful situation imbued with multiple forms of trauma. This qualitative study considers the lived experiences of eight bilingual pre-service teachers in California and Texas. Utilizing narrative inquiry, from a grounded theory perspective, this study examines how Latina pre-service teachers worked through the online challenges of the pandemic and other traumas such as isolation, lack of academic engagement, vicarious trauma, and sense of powerlessness. Despite these challenges, participants were able to persevere in empowering ways and advocate for their students. Findings suggest the need for reimagining teacher education programs addressing the challenges faced by future teachers as they navigate the online space in their dual roles of both student and educator. Implications for practice, policy, and research are presented.
Assessing the Acceptability and Applicability of Accounting Software by Civil Society Organizations in Bauchi Metropolis
Authors: Gololo Ibrahim Aliyu 
Published: July 2024

This paper examines the level of acceptability and applicability of accounting software’s by civil society organizations within Bauchi Metropolis. Civil society organizations/Non-governmental organizations support government effort and contribute to make life better for the people in their domain by complementing government efforts in improving the quality of living standards of the populace. In recent times, the issue of accountability and transparency have taken center stage in public discourse as to the management of funds and resources by CSOs officials. This issue calls for donors and stakeholders attention on the acceptability and applicability of accounting softtwares to manage their financial transactions in conformity to the international best practices. The population consists of 30 CSOs/NGOs operating within Bauchi Metropolis, Census sampling technique were adopted, primary data was used as questionnaires were distributed and retrieved with the help of research assistants, null hypotheses was rejected as the chi-square (X2) analysis shows the calculated chi-square Xis 7.322 greater than the tabulated chi-square X 3.841 at 5% significance level i.e X X.The findings shows that finance and accounts staffs including accountants do not show passion in accepting and applying accounting software to conduct financial transactions in their CSOs and still apply manual methods of recording financial transactions which do not conform to the best accounting ractice. The study conclude that there is lack of positive attitude on the part of staffs to accept and apply accounting software in to use in their CSOs/NGOs.
Monitoring Suhu Pada Tanaman Seledri Menggunakan App Inventor
Authors: Banggut Andreas Lois Figo , Setiawan Aries Boedi , Sumarahinsih Andrijani 
Published: July 2024

Abstract: In its growth period, plants need many supporting factors such as appropriate air temperature. The frequent incidence of crop failure is caused by weather that causes the temperature to not match the ideal temperature needed by plants. Celery plant is one of them because it is vulnerable to weather. So a temperature monitoring system for celery plants was created which was monitored using App Inventor on a smartphone. Starting from reading the DHT11 sensor which is then processed by ESP32 which then sends the data to the App inventor on the smartphone, then ESP32 gives commands to the output which then works based on the conditions that occur from the results of sensor readings with PWM fuzzy sogeno. The parameter being monitored is the temperature of the celery plant. The reading results will be displayed on App Inventor as an Internet of Things (IoT) support system.
Keywords: celery plant, DHT11 sensor, fuzzy sugeno method, App Inventor.
Abstrak: Dalam masa pertumbuhannya tanaman membutuhkan banyak faktor pendukung seperti suhu udara sesuai. Seringnya kejadian gagal panen yang diakibatkan oleh cuaca yang menyebabkan suhu tidak sesuai dengan suhu ideal yang dibutuhkan tanaman. Tanaman seledri adalah salah satunya karena rentan terhadap cuaca. Sehingga dibuatlah sistem monitoring suhu pada tanaman seledri yang dimonitring menggunakan App Inventor pada smartphone. Dimulai dari pembacaan sensor DHT11 yang kemudian diproses oleh ESP32 yang kemudian mengirimkan data tersebut ke App inventor pada smartphone, kemudian ESP32 memberi perintah kepada output yang kemudian bekerja berdasarkan kondisi yang terjadi dari hasil pembacaan sensor dengan PWM fuzzy sogeno. Parameter yang dimonitoring adalah suhu pada tanaman seledri. Hasil pembacaan tersebut akan di tampilkan pada App Inventor sebagai sistem pendukung Internet of Things (IoT).
Kata kunci: Tanaman seledri, sensor DHT11, App Inventor, metode fuzzy sugeno
Monitoring Kualitas Air Aquarium Menggunakan Metode Fuzzy Mamdani Berbasis IoT
Authors: Bu'u Kornelius Setiawan , Nachrowie Nachrowie , Sonalitha Elta 
Published: July 2024

Aquarium adalah sebuah wadah estetik juga sebagai tempat pada pembudidayaan ikan guppy, terdapat beberapa kendala yang sering dialami oleh para pembudidaya ikan aquarium yaitu dalam mengontrol kualitas air dalam hal ini adalah pengontrolan tingkat kekeruhan air dan pH air pada aquarium pada rentang pH 6-8 atau netral. Tingkat Kekeruhan air dengan rentang 0-10 ntu selebihnya berdampak negatif terhadap nilai estetik aquarium serta bioata yang ada didalamnya. Tingkat turbidity yang tinggi juga dapat mempengaruhi kemampuan insang ikan menyerap oksigen terlarut dan tingkat kekeruhan yang tinggi menyebabkan berkembangnya jamur atau fungi Branchiomyces Sanguinis di ingsan ikan serta dapat menghasilkan lumut pada wadah akuarium sehingga menyebabkan kesehatan ikan terganggu sehingga ikan mudah terkena penyakit bahkan kematian. dengan adanya sistem monitoring kualitas air berbasis internet of things menggunakan aplikasi Blynk dapat mengontrol nilai pH dan turbidity melalui android atau smartphone pengguna seperti status nilai pH dan nilai turbidity serta status pengurasan dan pengisian air secara otomatis dan metode fuzzy mamdani sebagai pendukung pengambilan keputusan pada saat melakukan pengurasan dilihat dari nilai pH dan nilai turbidity untuk menghasilkan total atau banyaknya air yang harus dikuras 25%, 50% atau 75% dari total banyaknya air pada aquarium.
Kata kunci: pH, Turbidity, Blynk, IoT, fuzzy Mamdani
PEMANFAATAN ECO-ENZYME UNTUK MENCAPAI ZERO FOOD WASTE DAN PEMBERDAYAAN EKONOMI PEREMPUAN DI KAMPUNG HIDROPONIK SURABAYA
Authors: SENSASI Dewi Deniaty Sholihah , SENSASI Januari Pratama Nurratri Trisnaningtyas 
Published: July 2024

Menurut Sistem Informasi Pengolahan Sampah Nasional (SIPSN), 39,63% sampah yang dihasilkan di Indonesia berasal dari limbah rumah tangga, terutama sampah sisa makanan. Ketidakmampuan dalam mengolah sampah rumah tangga berdampak negatif terhadap lingkungan dan kesehatan keluarga. Oleh karena itu, kesadaran serta partisipasi masyarakat perlu ditingkatkan untuk mencapai zero food waste yang berbasis swadaya masyarakat. Hal tersebut sejalan dengan tujuan pembangunan berkelanjutan nomor 3, 11, 12, 13, dan 15 mengenai kesehatan, kota dan komunitas yang berkelanjutan, produksi dan konsumsi yang bertanggung jawab, aksi iklim, serta kehidupan di darat. Salah satu upaya untuk memanfaatkan limbah organik rumah tangga adalah dengan pembuatan eco-enzyme, yaitu cairan organik yang terbuat dari sampah organik seperti sisa makanan, daun, dan rumput. Cairan organik ini dapat dijadikan bahan dasar pembersih rumah tangga yang lebih aman dan ramah lingkungan. Hasil olahan eco-enzyme ini selain dapat digunakan untuk konsumsi rumah tangga, dapat juga dijadikan produk bernilai ekonomi yang dapat memperkuat swadaya ekonomi masyarakat. Ibu rumah tangga sebagai penghasil sekaligus pengolah limbah sampah rumah tangga memiliki andil besar dalam pengolahan limbah organik ini. Menggunakan metode ABCD (Asset Based Community Development), tim pengabdian masyarakat UPN ”Veteran” Jawa Timur melakukan kegiatan pendampingan berupa: (1) pelatihan pembuatan eco-enzim dari limbah organic rumah tangga; dan (2) pendampingan hingga menjadi produk cairan pembersih siap pakai dan pemasarannya. Hasil dari kegiatan tersebut adalah meningkatnya kesadaran akan pentingnya kontribusi masyarakat dalam isu lingkungan, bertambahnya kemampuan masyarakat untuk mengolah limbah organik rumah tangga, serta meningkatnya keterampilan pemasaran produk yang ramah lingkungan. Kegiatan pengabdian masyarakat ini juga diharapkan dapat berkontribusi terhadap penguatan kapasitas ekonomi perempuan dalam rumah tangga, sekaligus meningkatkan kontribusi perempuan pada isu lingkungan sesuai dengan tujuan pembangunan berkelanjutan nomor 5 dan 10.
Kata kunci: eco-enzyme, pembangunan berkelanjutan, pemberdayaan perempuan, strategi pemasaran, zero food waste
The Performance Analysis of Graph Neural Network (GNN) and Convolutional Neural Network (CNN) Algorithms for Cyberbullying Detection in Twitter Comments
Authors: Muhammad Rizki Nurfiqri  , Fitriyani  
Published: July 2024

Cyberbullying incidents have surged due to the expansion of social media network and advancements in internet technology, presenting a substantial challenge in online communities. Previous studies employing Support Vector Machine (SVM) techniques have exhibited promising outcomes, achieving a superior accuracy of 71.25%. However, recognizing the dynamic nature of cyberbullying behaviors and the necessity for more robust detection methodologies, this research explores cyberbullying detection on Twitter utilizing Convolutional Neural Network (CNN) and Graph Neural Network (GNN). The selection of CNN and GNN is motivated by the deficiencies observed in prior SVM-based approaches and the capacity of neural network to capture intricate patterns in textual and network data. The GNN consistently outperforms CNN in terms of F1 score, accuracy, precision, and recall. With only 20 epochs, GNN achieves an accuracy of 80.25%, surpassing CNN's 68.43%. Through GNN optimization, its accuracy reaches 89.04% after 100 epochs, underscoring its efficacy in Twitter cyberbullying detection.
Deteksi hate speech pada kolom komentar TikTok dengan menggunakan SVM
Authors: Ariska Amelia , Kamayani Mia 
Published: July 2024

Aplikasi TikTok menyediakan banyak fitur termasuk komentar untuk berinteraksi antar pengguna. Pengguna dapat bertukar pendapatnya melalui kolom komentar secara terbuka. Namun, semakin banyak pengguna yang melakukan interaksi atau bertukar pendapat melalui aplikasi TikTok, secara sadar atau tidak penggunaan hate speech masih banyak digunakan. Hate speech merupakan suatu perbuatan yang dilakukan seseorang atau kelompok dapat memicu tindak kejahatan sehingga merugikan orang lain. Penelitian ini bertujuan untuk mengidentifikasi penggunaan hate speech pada kolom komentar TikTok menggunakan algoritma SVM serta melakukan perbandingan 2 library yang akan digunakan dalam proses pelabelan untuk melihat performa yang dilakukan oleh model algoritma SVM. Proses pelabelan dengan menggunakan pendekatan lexicon-based. Kamus yang digunakan pada penelitian ini adalah Inset lexicon dan VaderSentiment. Algoritma SVM digunakan sebagai model untuk menguji hasil evaluasi. Hasil yang didapatkan dengan menggunakan pelabelan Inset lexicon akurasi sebesar 82% Sedangkan pelabelan kedua yaitu menggunakan VaderSentiment mendapatkan hasil akurasi sebesar 96,21%.
Knowledge Extraction of Gojek Application Review Using Aspect-based Sentiment Analysis
Authors: Anggun Ramadina  , Ken Ditha Tania  
Published: July 2024

Social media is transforming business, costumer relations, and behavior. The involvement of customers and impacts from social media affect product or service performance. This is because the consumer’s reviews are another important factor that builds brand image by showing product advantages and disadvantages. In order to enhance the business environment, the company may utilize this knowledge base to evaluate and enhance its business activities. The knowledge base approach might help the company or organization examine and extract information by using knowledge extraction. In this research, knowledge Extraction utilize Aspect-based Sentiment Analysis as the method for a better understanding and improving in analyze Gojek application reviews with Machine Learning approach by using Support Vector Machine (SVM).
Kelas Remaja sebagai upaya pencegahan Stunting di Desa Pong Murung, Kecamatan Ruteng, Kabupaten Manggarai
Authors: Dewi Imelda Rosniyati , Bandur Paskalinda M.Y , Centis Maria Choncita Leyla , Manggul Makrina Sedista , Nanur Fransiska Nova , Jalong Antonia Eltara 
Published: July 2024

ABSTRAK Perhatian khusus terhadap kesehatan remaja dan prakonsepsi terutama menjadi upaya pencegahan stunting baik secara global maupun nasional. Tujuan dari kegiatan ini adalah untuk melakukan kegiatan pemebentukan dan pelaksanaan kelas remaja sebagai ubaya pencegahan stunting. Metode yang digunakan adalah melalui pemberian edukasi kepada partisipan yang diakhiri dengan evaluasi kegiatan. Kegiatan berjalan dengan lancar melalui partisipasi remaja putri, kader kesehatan dan kepada desa. Peserta antusias dengan kegiatan dan terdapat perubahan pengatahuan tentang kesehatan reproduksi dan gizi remaja. Kegiatan kelas remaja dapat meningkatkan pengetahuan dan partisipasi aktif remaja dalam upaya pencegahan stunting. Kata kunci: Kelas Remaja, Edukasi, Kesehatan Reproduksi, Gizi ABSTRACT Special attention to adolescent and preconception health is especially important for stunting prevention efforts both globally and nationally. The purpose of this activity is to conduct activities to establish and implement adolescent classes as a stunting prevention effort. The method used is through providing education to participants which ends with an evaluation of the activity. The activity ran smoothly through the participation of adolescent girls, health cadres health cadres and village leaders. Participants were enthusiastic about the activities and there were changes in knowledge about reproductive health and adolescent nutrition Conclusion: Youth class activities can increase knowledge and active participation of adolescents in stunting prevention efforts. Keywords: Adolescent Class, Education, Reproductive Health, Nutrition
Piomi Efektif dalam Meningkatkan Kesiapan Minum Bayi Premature
Authors: Fitriyati Fitriyati , Sutini Titin , Purwati Nyimas Heny , Srisantyorini Triana , Sulistiawati Helda 
Published: July 2024

ABSTRACT The incidence of premature births is still quite high along with complex health problems in premature babies caused by immaturity of the body's organ systems in premature babies and babies born prematurely lacking the ability to suck and swallow which is related to the baby's readiness to drink. The aim of the research is that Piomi is effective in increasing the drinking readiness of premature babies. Research design. This research uses a quasi-experimental research design with a pre test and post test with control group with two types of intervention. Results The results of this research show that there is a significant difference between the pre and post interventions of PIOMI and Multistimulation. on the baby's drinking readiness (P value <0.05). There was also an influence between the PIOMI and Multistimulation interventions on the baby's drinking readiness (P value <0.05). The conclusion shows that there is a difference in the level of readiness to drink babies before and after the PIOMI intervention, as well as in the Multistimulation intervention group. Difference PIOMI Intervention is more effective than Multisimulation Intervention. Keywords: Premature Babies, Baby Drinking Readiness, PIOMI, Multistimulation ABSTRAK Angka kejadian kelahiran prematuritas masih cukup tinggi beserta permasalahan yang kompleks permasalahan kesehatan pada bayi prematur disebabkan oleh ketidakmatangan sistem organ tubuh pada bayi prematur dan bayi yang lahir dalam kondisi prematur kurang memiliki kemampuan menghisap dan menelan yang berhubungan dengan kesiapan minum bayi. Tujuan penelitian diketahui piomi efektif dalam meningkatkan kesiapan minum bayi premature Desain penelitian Penelitian ini menggunakan rancangan penelitian quasi eksperiment dengan pre test dan post test with control group dengan dua macam Intervensi.Hasil Hasil penelitan ini menunjukkan ada perbedaan yang signifikan antara pre dan post intervensi PIOMI danMultikstimulasi terhadap kesiapan minum bayi (P value<0,05).Terdapat juga pengaruh anatara Intervensi PIOMI dan Multistimulasi terhadap kesiapan minum bayi (P value<0,05). Kesimpulan menunjukan bahwa terdapat perbedaan tingkat kesiapan minum bayi sebelum dan sesudah dilakukan Intervensi PIOMI, begitupula da kelompok intervensi Multistimulasi. Perbedaan Intervensi PIOMI lebih efektif dibanding Intervensi Multisimulasi. Kata Kunci: Bayi Prematur, Kesiapan Minum Bayi, PIOMI, Multistimulasi