bluuebunny/crossref_metadata_2025 huggingface dataset:
The Influence of Spiritual Care with Callista Roy's Adaptation Theory Approach on Serotonin Levels in Ischemic Stroke Patients
Authors: Nurahman Hendra Kusuma Aria , Pudjonarko Dwi , Sujianto Untung
Published: January 2025

Background: Ischemic stroke causes physical disability, which can result in an inability to adapt, causing a 72% decrease in serotonin. Decreased serotonin can cause mood changes that adversely impact stroke outcomes. The aim of this research is to determine the effect of spiritual care using Callista Roy's adaptation theory approach on serotonin levels in Ischemic Stroke Patients.
Methods: The type of research is quasi-experimental with a pretest-posttest control group design. The population of the study was outpatients of ischemic stroke patients at Dr. Moewardi Hospital. The sample size was 60 respondents consisting of 30 respondents in the control group and 30 respondents in the intervention group. The intervention group was given a spiritual care intervention by the researcher consisting of 5 sessions each meeting with a duration of 30 minutes. The spiritual care intervention was given once a week 12 times for 3 months and the control group was given standard spiritual therapy by the outpatient nurse at RSUD Dr. Moewardi Surakarta. Serotonin examination using ELISA kit. Data analysis using independent sample t-test.
Results: There is an influence of spiritual care with the Callista Roy theory approach on the serotonin levels of ischemic stroke patients with a significance of 0.001 (p value <0.05).
Conclusion: Spiritual care interventions with Callista Roy's theoretical approach have a significant influence on improving serotonin levels in ischemic stroke patients, which can reduce anxiety. It is recommended that ischemic stroke patients be given spiritual care 12 times for 3 months.
Decision-making by the administrative bodies of sports clubs participating in the Iraqi Premier League for football for the 2022-2023 season.
Authors: Hashim Ahmed , Yousif Tariq
Published: December 2024

The research aimed to study the decision-making of the administrative bodies of sports clubs participating in the Iraqi Football Premier League for the 2022-2023 season. The researchers used the descriptive approach (survey study) to suit the nature of the research. The research community is represented by members of the administrative bodies of the sports clubs participating in the Iraqi Premier Football League for the 2022-2023 season, who number (177) members of the administrative body. The researchers used the questionnaire to collect the necessary data to achieve the goal of researching The method of applying a questionnaire aimed to identify the decision-making of the administrative bodies of sports clubs. The most important results reached by the researchers were that the level of decision-making of the administrative bodies of sports clubs in the Premier League in football was at a low level. The degree of effectiveness of decision-making by the administrative bodies of sports clubs in the Premier League in football, according to the scale magazines, was collecting data and information first, then identifying the problem, followed by choosing the appropriate alternative to solve the problem at a low level, then following up on the implementation of the decision and evaluating it, and finally identifying the available alternatives and evaluating them at a very low level.
The use of positive rest in maintaining the level of creatine phosphokinases enzyme and the peak and average non-oxygen capacity of Iraqi Premier League football players during the transitional period
Authors: Naser Ammar , Khalaf Mohameed , Ali Naji
Published: December 2024

The importance of research has emerged through training during the transitional period and maintaining a certain level of physical and functional capabilities, highlighting the correct planning, and including the transitional period in the annual coach's curriculum until football players reach advanced levels, through various exercises that are different from the main event practiced by the player, and with moderate intensity.
As for the research problem, it was focused on the fact that there is a lack of focus by the coaches on the transitional period because they believe that it is outside the training season. This is what drives the player and the coach to start from scratch at the beginning of each new football season, due to the clear decline in the level of physical and functional performance. Therefore, the researcher decided to study this problem and develop appropriate solutions to it through various training for the transitional period and its impact on maintaining the level of some physical and functional capabilities of the Iraqi Premier League players in football.
Application of Quality Function Deployment Method for Tourism's City Branding Analysis
Authors: Mardiyana Eva , Zakiah Siti , Gusnadi Dendi
Published: December 2024

This research aims to measure how much influence West Bandung Regency Tourism's City Branding has on the perceptions of tourists who will visit West Bandung Regency tourism using the Quality Function Deployment (QFD) method. City branding is an important marketing strategy in promoting tourist destinations.  This study uses QFD as a tool to analyze the relationship between aspects of city branding and tourist perceptions to improve visiting decisions. The research method involves collecting data through surveys of tourists who have visited West Bandung Regency as well as content analysis of various marketing and branding materials used by local governments and related institutions. Data was analyzed using QFD techniques to determine the relationship between branding elements and tourist needs and preferences. The research results are expected to show that the elements in Tourism's City Branding in West Bandung Regency have a significant influence on tourist perceptions. Aspects such as destination image, tourism promotion, facilities and tourist experience are the main factors influencing tourists' decisions to visit West Bandung Regency. The implication of this research is the importance of local governments and other stakeholders in strengthening city branding as an effort to increase tourist visits and advance the regional tourism sector
A Retrospective Study On Indications Of Caesarean Section In A Tertiary Care Urban Setup
Authors: Guha Biswajyoti , Mondal Aparna
Published: December 2024

Background- A Caesarean Section (CS) is a life saving procedure. It has a beneficial effect on maternal and child health as an alternative to difficult vaginal delivery. Adverse outcomes are postpartum hemorrhage (PPH), surgical site infection, puerperal sepsis, and maternal mortality, and fetal complications like neonatal sepsis, neonatal death, stillbirth, neonatal respiratory distress, a low Apgar score, and preterm birth. In past few decades a remarkable increase has been observed in delivery by caesarean section. This study aimed to find the indications of caesarean section in a private hospital.
Method- A retrospective study was carried out for a period of six months at AMRI Hospital, Mukundapur, Kolkata.  This includes 359 pregnant women, who underwent caesarean sections, both elective and emergency.
Conclusion- Out of 359 pregnant women, 91% (328) were elective caesareans and 9% (31) were emergency caesarean sections. Previous caesarean section 16.15% (58) was found to be the most common indication of caesarean sections. A reduction of primary CS should be given priority. Following labor care guidelines, use of cardiotocography, partography, and patient education will contribute to the reduction of caesarean sections and related complications.
D-dimer a Clue for Severe Dengue / Dengue Shock Syndrome, An Observational Study
Authors: Khaladkar Aniket , Patil Suvarna , Paranjape Amey , Jagtap Pravin , Balaji Asole  , Bishav Singh  , Ajit Nandoskar
Published: December 2024

Background: Dengue fever, a mosquito-borne viral infection, poses a significant public health threat, particularly in tropical and subtropical regions. Caused by five serotypes of the dengue virus (DENV-1 to DENV-5), it affects an estimated 400 million people annually, leading to severe illness in around 96 million [1]. Dengue's clinical spectrum ranges from asymptomatic infection to mild febrile illness with flu-like symptoms, to severe dengue (SD) and dengue shock syndrome (DSS), characterized by plasma leakage, thrombocytopenia, and organ dysfunction [2].
Objective: To evaluate the correlation and diagnostic accuracy of D-dimer in differentiating severe dengue and dengue shock syndrome (SD/DSS) from mild dengue.
Method: This is an observational study carried in BKL Walawalkar medical college for a period of 6 months. 125 patients were enrolled in the study which were diagnosed as Dengue positive (NS1, IG-G, IG-M) after taking their informed consent. Dimer, platelet creatinine, SGOT SGPT levels were monitored.
Conclusion: The present study provides strong evidence for a link between D-dimer levels and the severity of dengue infection and it also address the   correlation of low platelet count and high D dimer levels. This suggests that D-dimer could be a valuable marker for assessing dengue severity.
Determinants and Outcomes of COVID-19 during the Third Wave: A Cross sectional Study
Authors: Moirangthem Arun Singh  , Nepram Sanjib Singh  , Laishram Trinity Meetei  , Kshetrimayum Birendra Singh  , Y. Arunkumar singh  , Th. Suraj Singh
Published: December 2024

Aim: The threat of COVID-19 has since been continuing as a recurring wave with the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus changing it’s variant form frequently. This study was conducted with the aim to study the clinical profile, laboratory parameters, complications, and other outcomes of patients who were hospitalized with COVID-19 infection during the third wave in a tertiary care hospital in Manipur, India.
Materials and methods: This is a single-centre retrospective study, and the necessary data were collected from the medical record department of RIMS (Regional Institute of Medical Sciences) Hospital, Imphal. In this study, the case records of COVID-19 positive patients who were hospitalized in the RIMS Hospital from 1st January 2022 to 31st March 2022 has been collected. Corresponding data on demographic profile, clinical symptoms, laboratory findings, complications, and clinical outcome has been collected and compared between patients deemed as non-severe and severe cases.
Results and Conclusions: The analysis included 275 confirmed COVID-19 patients, and median age was 37 years and IQR (Inter quartile range) was (27-62) years; 41.5% (n = 114) were male, and 14% (n=16) deaths. Vaccination was significantly associated with the severity of disease among the older population. Aging, duration of hospitalization and d-dimer were independent factors increasing the risk of death due to COVID-19 (p < 0.001).
Knowledge, attitude and practice of blood donation among adult population in an urban field practice area of a tertiary care hospital.
Authors: Vijaykumar Powar  , Kulkarni Surendra , Sanjeev Chincholikar
Published: December 2024

Background: Human blood is basically a vital and essentially lifesaving component. Blood scarcity is frequently observed in health care settings. Voluntary donation is the proper method for blood collection. Understanding the knowledge, attitudes of potential donors are important to improve blood donation practices. Aims and Objectives: To study the knowledge, attitude and practice towards blood donation among adult population. Materials and Methods: A cross sectional observational study was carried out among adult population in the urban field practice area of a tertiary care hospital. Adult participants were selected from registered families. A semi structured questionnaire was used for data collection. Results: 220 adults participated in the study. Average age of the participants was 39.79 years with SD 12.50. A majority of the participants were workers by occupation. 72.77 % of the participants were aware about their own blood group. Knowledge was found significantly associated with education status of the respondents. Almost all the participants had a positive attitude towards blood donation. However, only 20% of the participants had donated blood any time before. Fear of weakness, fear of blood, needles were the main reasons for not donating the blood. Conclusion: Present study shows a good knowledge about own blood group but poor knowledge about other technical aspects of blood donation.
Histopathological alteration in Zebrafish: Unravelling the Effects of Long-Term Copper Oxide Nanoparticle Exposure
Authors: Gupta Himanshu , Thakur Mansee , Dayal Navami , Singh Muskaan , Mehta Jigesh , Oza Ankit D. , Prakash Chander
Published: December 2024

Copper Oxide nanoparticles (CuO-NPs) are widely used and they build up in the aquatic environment and can be harmful to aquatic life. Aquatic creatures are affected by CuO NPs, yet the consequences of these particles have not been well explored despite contentious toxicological results. Therefore, this study aimed to investigate the effects of chronic exposure to CuO-NPs on adult zebrafish. The study was carried out by conducting physicochemical characterization of commercially procured CuO-NPs using UV/Vis, ICP-OES spectroscopy, Transmission Electron Microscopy (TEM), X-ray diffraction (XRD), and Fourier Transform Infrared Spectroscopy(FTIR). Following characterization, adult zebrafish were chronically exposed to 0.5, 1, and 3 mg/l of CuO-NPs. Characterization revealed a heterogeneous population of nanoparticles in the size ranges of 10–50 nm. Oxidative stress indicators and functional markers were studied in addition to tissue histology. Chronic exposure to adult Fish at concentrations of 1 and 3 mg/l exhibited increased levels of stress compared to lower concentrations of 0.5 mg/l. Observations from histology showed that the extent of tissue damage and injuries increased with the concentration of CuO-NPs. In conclusion, chronic exposure to ≤50nm-sized CuO-NPs exhibited toxic repercussions in adult zebrafish.
Gastronomi Kenti/Şehri Konulu Makalelerin Maxqda İle Bibliyometrik Analizi
Authors: Mutlu Asilhan Semih
Published: December 2024

Amaç: Bu araştırmanın temel amacı, "Gastronomi Kenti/Şehri" kavramı üzerine yapılan akademik çalışmaları kapsamlı bir şekilde analiz ederek mevcut literatürü değerlendirmek ve bu alandaki temel eğilimleri, odak noktalarını ve boşlukları ortaya koymaktır.
Yöntem: Çalışmada gastronomi kenti/şehri ile ilgili yayınlanmış akademik çalışmaların bibliyometrik analizini yapmak için “gastronomi kenti” ve “gastronomi şehri” anahtar kelimeleri ile Google Akademik ve YÖK Akademik veri tabanında sadece makaleler filtresi yapılarak tarama yapılmıştır. 2017-2024 yılları arasında konuyla ilgili 29 makale çalışması yapıldığı tespit edilmiştir. Çalışmanın verilerinin analizi, nitel yazılım programı MAXQDA aracılığı ile yapılmıştır. Çalışma ile anahtar kelime, amaç, başlık, yayın yeri ve yazarların bağlı olduğu üniversite/birim/bölüm değişkenleri açısından analizler yapılmıştır.
Bulgular: Elde edilen sonuçlara göre; konuyla ilgili en çok yayının 2021 yılında yapıldığı, Gaziantep, Hatay ve Afyonkarahisar gibi şehirlerde gastronomi kimliklerinin geliştirilmesi, yerel halk ve işletmelerin gastronomi farkındalığının artırılması ve turizmdeki potansiyelin değerlendirilmesi gibi konulara; diğer şehirlerde ise gastronomi kentinin olabilirliğine odaklanıldığı tespit edilmiştir. Çalışmalarda coğrafi işaretli ürünler, gastronomi turizmi, dijital pazarlama, yerel işletmelerin ve halkın bilinçlendirilmesi gibi konulara yer verilmiştir. Afyon Kocatepe Üniversitesi, en yüksek akademik görünürlüğe sahip olurken, Turizm Fakültesi akademik personelinin bu konuda en fazla çalışma yaptığı, Gastronomi ve Mutfak Sanatları/Turizm İşletmeciliği Bölümlerinin en fazla yayın yapan bölümler ve Journal of Tourism and Gastronomy Studies’in bu alandaki çalışmaların en sık yayımlandığı dergi olduğu ortaya çıkmıştır. Araştırma sonucunda, gastronomi kenti çalışmalarının sadece gastronomi şehirlerinde değil, diğer şehirlerde yaygınlaşması gerektiği ve elde edilen sonuçların şehirlerin gastronomi gelişimine katkı sağlaması önerilmektedir.
SPK PENYELEKSIAN SISWA KELAS UNGGUL DENGAN METODE ANALYTICAL HIERARCHY PROCESS (AHP)
Authors: Eirlangga Yofhanda Septi , Aldo Eko Syaputra  , Muhammad Thoriq
Published: January 2025

High-achiever classes are specialized groups comprising students who excel in two areas of assessment, possessing intelligence above the average. Teaching in these specialized classes requires specific skills to optimize the potential of the students. Each year, West Pasaman High School conducts screenings for hundreds of students eligible for placement in the high-achiever classes, which are limited to only 50 students. The selection process for these high-achiever classes at West Pasaman High School has traditionally been manual, lacking a systematic method to support the selection process. Consequently, the selection process has been time-consuming, resulting in inefficiencies, compounded by subjective factors like social jealousy over the outcomes of the selection. The proposed solution to address the issue in selecting high-achiever students is by implementing a systematic, computerized method to expedite and improve the accuracy of the selection process. The methodology employed in this study is the Analytical Hierarchy Process (AHP). The school has outlined six criteria for evaluation: normative value, adaptive value, attitude, discipline, creativity, and academic performance. The primary objective of this research conducted at West Pasaman High School is to assist the school administration in swiftly and efficiently identifying high-achiever students. The data processing from this study provides the final scores of students, ranked from highest to lowest, with the highest score obtained by 'Payau' at 0.232 or 23.2%, followed by 'Pada' with a score of 0.229 or 22.9%. It is hoped that this research can serve as a reference for the school administration in refining their selection process and identifying students deserving of a place in the high-achiever classes. Keywords: AHP, high-achiever classes, decision support system, school, selection.
Identifikasi Digital Evidence dalam Transaction Fraud pada WhatsApp Desktop berdasarkan NIST SP 800-86: Studi Kasus Bisnis Properti
Authors: Hanaputra Rayhan Ramdhany , Sa'adah Khoerina , Purwoko Rahmat
Published: January 2025

Pertumbuhan ekonomi secara global memiliki keterkaitan erat terhadap kemajuan teknologi yang terus berkembang. Hal ini dikarenakan keberadaan teknologi menjadi kunci strategis yang membawa kemudahan bagi dunia bisnis. Pada proses bisnis aplikasi instant messaging (IM) membantu menjembatani langsung antara penyedia layanan dengan konsumen. Serangan transaction fraud merupakan salah satu serangan yang dapat dilakukan dengan media IM. Untuk dapat mengidentifikasi dan memberikan respon hukum atas insiden serangan ini maka diperlukan proses analisis forensik digital. Proses analisa untuk mendapatkan digital evidence harus dilakukan sesuai dengan kerangka kerja yang telah diakui untuk mendapatkan nilai legalitas pada proses hukum. Pada penelitian ini diberikan gambaran analisis digital forensik menggunakan teknik live forensic pada skenario serangan fraud transaction yang terjadi pada bidang bisnis properti dengan memanfaatkan layanan instant messaging WhatsApp Desktop. Proses penemuan digital evidence dilakukan berdasarkan kerangka kerja NIST SP 800-86. Hasil yang diperoleh menunjukkan bahwa digital evidence berupa teks percakapan dan file gambar yang telah dihapus dapat ditemukan menggunakan teknik live forensic.
Model Application Portfolio berdasarkan Framework TOGAF dan McFarlan Strategic Grid
Authors: Mirza Maulana Yoppy
Published: January 2025

Perencanaan strategis teknologi informasi (PSTI) merupakan merupakan solusi terhadap permasalahan pemanfaatan TI pada suatu organisasi. Adapun framework PSTI antara lain ward and peppard dan the open group architecture framework (TOGAF). Sedangkan substansi PSTI adalah identifikasi application portfolio (AP) TI yang sesuai dengan strategi organisasi untuk meningkatkan kinerja dan mewujudkan tujuan organisasi. Namun pada saat ini AP fokus pada dua hal yaitu yang pertama AP dikategorikan berdasarkan mcfarlan strategic grid (MSG) yaitu terkait kontribusinya terhadap organisasi seperti aplikasi, key operational, support, high potential dan strategic. Sedangkan yang kedua AP diuraikan berdasarkan interaksi antar aplikasi. Oleh sebab itu perlu di elaborasi kedua kontribusi tersebut, karena dalam pengembangan AP dalam organisasi tidak cukup hanya mengetahui kategori dari masing-masing aplikasi namun harus jelas hubungan antar aplikasi sehingga memberikan solusi komprehensif. Karena pentingnya AP elaborasi ini, maka dilakukan studi literatur, namun belum ada secara spesifik dan detil membahas hubungan AP berdasarkan TOGAF dan MSG. Oleh sebab itu dilakukan penelitian yang bertujuan membuat model AP berdasarkan TOGAF dan MSG. Adapun hasil penelitian ini berupa AP yang berisi tentang sistem informasi (SI) berdasarkan kontribusinya dan iteraksi antar aplikasi dalam SI. Adapun model ini dapat digunakan sebagai panduan dalam pengembangan AP pada suatu organisasi.
PADrink - Poultry Automatic Drinking System Innovation Using Arduino
Authors: KH Musliadi , Pernando Yonky , Kaharuddin
Published: January 2025

Air merupakan komponen utama pada peternakan unggas, sebab tubuh unggas tersusun setidaknya 60% - 85% air. Unggas tidak dapat bertahan hidup 2-3 hari tanpa air, sehingga peternak harus rutin mengontrol pemberian air minum tersebut. Pengontrolan secara penuh terhadap pemberian air minum pada unggas, tentunya menyita banyak waktu dan peternak tidak dapat mengerjakan aktivitas lainnya. Agar peternak dapat mengerjakan berbagai aktivitas dan kebutuhan air minum unggasnya terpenuhi, maka perlu dilakukan perancangan inovasi pengontrolan pemberian air minum. Untuk mencapai tujuan perancangan inovasi tersebut, maka alur penelitian yang digunakan adalah pendekatan metode prototipe. Pendekatan metode tersebut dibagian atas tiga bagian penting, persiapan, prototipe dan penyerahan. Tahap persiapan dilakukan untuk mengumpulkan data-data yang diperlukan pada pengembangan sistem. Pada tahap prototipe, peneliti mengenalisa, mendesain kosnep awal sistem, melakukan implementasi desain serta melakukan evaluasi terhadap prototipe yang dikembangkan. Penyerahan dan kepada pengguna dan evaluasi dilakukan untuk mengetahui hasil feedback dari pengguna. Hasil penelitian ini menghasilkan sistem inovasi PADrink dengan keunggulanya pada kemampuanya dalam mendeteksi volume air dan menampilkan informasinya melalui LCD. Setelah melakukan serangkaian pengujian, diperoleh akurasi rata-rata persentase keberhasilan PADrink dalam mengontrol air sebesar 75%, di mana sensor ultrasonik yang digunakan sangat mempengaruhi berhasil atau tidaknya proses pengontrolan air yang diteteskan. Dari delapan kali hasil pengukuran, rata-rata tingkat akurasi seleisih ketinggian air dan pembacaan sensor sebesar 1,8 cm. Sedangkan persentase tingkat eror yang diperoleh dari pembacaan sensor hanya 3% yang menandakan bahwa pengukuran secara manual dan dengan menggunakan sensor tidak memiliki perbedaan yang signifikan.
Rapid Application Development Dalam Pengembangan Sistem Informasi Kesiswaan Berbasis Website (Studi Kasus: Sman 11 Pekanbaru)
Authors: Syaliman Khairul Umam , Ramdani Hadi Nst Andika
Published: January 2025

This research identifies problems in the student data management process at SMAN 11 Pekanbaru, which still relies on manual recording for students who violate school regulations and students who excel. This causes limitations in operational efficiency. Apart from that, extracurricular activities also experience problems in organizing because the member registration process still uses paper forms. This research aims to develop and analyze a web-based student information system to increase the efficiency and effectiveness of student data management. The system development method used is Rapid Application Development (RAD), this method was chosen because of its flexibility in accommodating the needs of SMAN 11 Pekanbaru with a short implementation time. This system was developed using the PHP and MySQL programming languages as a database management system. System testing is carried out using User Acceptance Testing which involves admin, student affairs, school principals, homeroom teachers, and students as actors in the system. The results of website functionality testing using the Blackbox Testing method are in the good category, with 24 use cases successfully carried out with a success rate of 62.5%. Usability testing shows a high level of agreement with the system built, with a score of 82.4% for the system aspect, 81.8% for the user aspect, and 80% for the interaction aspect.
Analisis Akurasi Object Detection Menggunakan Tensorflow Untuk Pengenalan Bahasa Isyarat Tangan Menggunakan Metode SSD
Authors: Tikasni Elisa , Utami Ema , Ariatmanto Dhani
Published: January 2025

Penelitian ini bertujuan untuk menganalisis akurasi deteksi objek dalam pengenalan bahasa isyarat tangan menggunakan metode Single Shot Detection (SSD) yang diimplementasikan dengan tensorflow. Latar belakang penelitian ini berasal dari kebutuhan akan sistem komunikasi yang bagi penyandang disabilitas. Metode SSD dipilih karena kemampuannya mendeteksi objek secara real-time dengan efisiensi tinggi. Dataset yang digunakan terdiri dari gambar tangan dalam berbagai pose kata kerja dalam bahasa isyarat. Proses pelatihan model melibatkan peningkatan data dan penggunaan teknik transfer learning untuk meningkatkan performa deteksi. Faktor-faktor yang mempengaruhi akurasi, seperti kompleksitas latar belakang dan variasi pencahayaan, dianalisis untuk memberikan pemahaman yang analisis menyeluruh tentang kinerja model. Analisis ini sangat penting dalam mengidentifikasi potensi perbaikan dan memastikan kekuatan sistem deteksi dalam berbagai kondisi. Temuan penelitian ini menyoroti bahwa metode SSD yang diimplementasikan dengan tensorflow sangat efektif untuk pengenalan bahasa isyarat tangan. Efektivitas ini memainkan peran penting dalam memajukan pengembangan sistem komunikasi yang lebih inklusif, memberikan manfaat besar bagi komunitas penyandang disabilitas dengan meningkatkan kemampuan mereka untuk berkomunikasi. Dengan menjembatani kesenjangan komunikasi, penelitian ini berkontribusi pada penciptaan lingkungan yang lebih mudah diakses dan inklusif bagi individu dengan gangguan pendengaran. Selain itu, penerapan teknologi semacam ini dapat membuka jalan bagi kemajuan di masa depan dalam penggunaan perangkat komunikasi bantu.
Optimasi Seleksi Fitur Untuk Perbaikan Akurasi Support Vector Machine Classifier Pada Klasifikasi Citra Tanaman Rimpang
Authors: Sulistianingsih Nani , Astutik Fitri , Rahman Arif
Published: January 2025

Tanaman Rimpang atau bahasa ilmiahnya Rhizome merupakan modifikasi batang yang tumbuh secara menjalar pada tanah dan berbentuk seperti tunas. Pemanfaatan tanaman rimpang tidak hanya digunakan sebagi bumbu dasar masakan tetapi digunakan sebagai obat herbal dengan khasiat tinggi. Tanaman rimpang semakin popular dengan adanya pandemi akibat virus Covid-19 yang melanda Indonesia dan dunia. Kementerian Kesehatan Republik Indonesia (Kemenkes RI) mengeluarkan surat edaran pemanfaatan obat tradisional untuk memelihara kesehatan, pencegahan penyakit, dan perawatan kesehatan. Kemenkes RI menyarankan penggunaan obat herbal untuk meningkatkan imunitas. Namun, sebagian besar orang menilai jenis tanaman rimpang sulit diidentifikasi karena bentuknya yang mirip antara satu dengan yang lain. Oleh karena itu, studi ini bertujuan untuk menganalisis dan mengidentifikasi tanaman rimpang jenis Kunyit, Jahe, Kencur dan Lengkuas dengan mengoptimalkan metode seleksi fitur Recursive Feature Elimination (RFE) untuk mendapatkan hasil akurasi yang lebih baik. Penelitian ini menggunakan metode ekstraksi fitur tektur Local Binary Pattern (LBP) dan classifier Support Vector Machine (SVM). Hasil akurasi klasifikasi sebelum menggunakan SVM-RFE diperolah sebesar 67% dan setelah menerapkan metode seleksi fitur SVM-RFE diperoleh akurasi sebesar 81%. Hal ini menunjukkan bahwa penerapan metode seleksi fitur dapat membantu dalam meningkatkan akurasi dan dapat mengidentifikasi citra tanaman rimpang dengan baik.
Model Arsitektur Bisnis Berdasarkan The Open Group Architecture Framework
Authors: Yoppy Mirza Maulana
Published: January 2025

Arsitektur bisnis merupakan alat strategis suatu organisasi yang menggerakkan operasional bisnis dan faktor penentu TI yang bertujuan untuk daya saing. Arsitektur bisnis merupakan relasi antara tujuan organisasi, layanan dan proses bisnis. Arsitektur bisnis bagian domain arsitektur enterprise yang merupakan  aspek non-teknis suatu organisasi. Adapun permasalahan yang terjadi jika organisasi dalam mengembangkan arsitektur enterprise tidak didasarkan dengan arsitektur bisnis yang baik maka menimbulkan ketidakselarasan antara tujuan organisasi dengan TI. Dampaknya tidak dapat mengukur tercapainya tujuan organisasi dan kinerja TI terhadap bisnis. Oleh sebab itu penelitian ini membuat model arsitektur bisnis berdasarkan framework TOGAF. TOGAF memiliki konsep, proses, dan model yang lebih baik dibandingkan framework lainnya. Adapun penelitian ini membuat model arsitektur bisnis dengan tujuan untuk keselarasan antara tujuan, layanan dan proses bisnis. Adapun model ini menghasilkan 3 lapisan pada arsitektur bisnis yang meliputi 1) Business Goals; 2) Business Services; 3) Business Process. Model ini di implementasikan dengan studi kasus pada Universitas Dinamika dan telah dilakukan evaluasi terhadap model ini. Adapun kesimpulannya, bahwa model ini merepresentasikan konsep arsitektur bisnis dan hasilnya juga menjelaskan hubungan antara tujuan organisasi, layanan dan  proses bisnis. Oleh sebab itu model ini diperuntukkan sebagai panduan dalam penyusunan arsitektur bisnis yang merupakan dasar penyusunan arsitektur sistem informasi dan teknologi.
Transformasi Augmented Reality Berbasis Android Sebagai Media Pembelajaran Pengenalan Budaya Sumatera Utara
Authors: Agus Kartini Siti , Permata Bunda Yola , Afni Nurul
Published: January 2025

Artikel ini membahas pemanfaatan teknologi Augmented Reality (AR) sebagai media pembelajaran untuk memperkenalkan budaya Sumatera Utara, terutama kepada generasi muda yang tumbuh dalam era digital. Di tengah tantangan terbatasnya pemahaman budaya di kalangan masyarakat, teknologi AR menawarkan cara interaktif dan menarik untuk menghadirkan informasi budaya melalui perangkat mobile seperti smartphone. Penelitian ini menggunakan metode pengembangan Multimedia Development Life Cycle (MDLC) yang terdiri dari enam tahap: Concept, Design, Material Collecting, Assembly, Testing, dan Distribution. Dengan memanfaatkan teknologi AR, pengguna dapat berinteraksi dengan objek budaya, seperti bangunan bersejarah atau pakaian adat, dalam bentuk 3D, sehingga meningkatkan pemahaman dan minat mereka. Pengujian aplikasi dilakukan dengan metode black box testing dan User Acceptance Testing (UAT), melibatkan siswa dan guru budaya sebagai responden. Hasil pengujian menunjukkan bahwa aplikasi ini mendapatkan penerimaan yang sangat baik dengan tingkat kepuasan pengguna mencapai 97%, menandakan bahwa aplikasi ini efektif dan dapat meningkatkan minat serta pemahaman budaya. Kesimpulannya, AR dapat menjadi solusi interaktif yang potensial untuk memperkenalkan dan melestarikan kekayaan budaya Sumatera Utara. Pengembangan lebih lanjut aplikasi ini diharapkan bisa memperluas aksesibilitas informasi budaya kepada masyarakat luas, terutama generasi muda.
Implementasi Algoritma ChaCha20 Pada Pengamanan File Citra Bitmap
Authors: Rahim Fitra , Nasution Yusuf Ramadhan , Supiyandi
Published: January 2025

The advancement of information technology has facilitated the exchange of digital images, including bitmap formats such as BMP and PNG. However, these formats lack inherent security features, leaving them vulnerable to unauthorized access. To address this issue, the ChaCha20 stream cipher algorithm is explored as a lightweight and efficient solution for securing bitmap images. ChaCha20 generates a keystream from a 512-bit initial state block via quarterround operations, enabling rapid encryption and decryption without sacrificing security. The results of this study show that ChaCha20 effectively secures images, as evidenced by the marked differences between the original and encrypted images, observed through visual inspection and histogram analysis. Of the 20 decrypted images, 18 were identical to the originals, while two showed minor changes in file size and imperceptible pixel color alterations, attributed to differences in OpenCV codec interpretation. File size has a greater impact on execution time than its format, and the performance analysis of encryption-decryption shows minimal execution time differences in most ChaCha20 samples, indicating the stability of this algorithm's performance. Each ciphertext increased by 12 bytes to store the nonce at the end of the file. Furthermore, PNG format images exhibited a file size increase of up to 2,704%, indicates inefficiency in compressing encrypted data. Therefore, further research is recommended to optimize system performance and efficiency while adding support for JPG and GIF formats, in order to provide broader benefits in image file security. This enhancement will increase the applicability of the algorithm across various types of image files commonly used in the industry.
Analisis Tren Topik dalam Ulasan Negatif Aplikasi M-Banking Menggunakan Latent Dirichlet Allocation
Authors: Kusumaningtyas Kartikadyota , Dwijayanti Irmma , Rizqi Lahitani Alfirna , Habibi Muhammad
Published: January 2025

Mobile banking atau M-banking menjadi semakin populer seiring dengan meluasnya penggunaan ponsel pintar. Pertumbuhan ini didorong oleh beberapa faktor, seperti kebijakan pemerintah melalui Gerakan Nasional Non-Tunai (GNTT) dan inovasi dari bank. Latar belakang penelitian ini berangkat dari pentingnya merespons keluhan pengguna terhadap aplikasi M-banking. Ulasan negatif mencerminkan masalah yang dialami pengguna dan bisa memengaruhi kepercayaan terhadap layanan. Sayangnya, platform seperti Google Play Store tidak menyediakan fitur untuk mengidentifikasi tren dari ulasan negatif. Oleh karena itu, penelitian ini menggunakan metode Latent Dirichlet Allocation (LDA) untuk memodelkan tren topik dalam ulasan negatif guna memberikan wawasan bagi penyedia layanan untuk meningkatkan kualitas aplikasi mereka.
Penelitian ini dilakukan melalui beberapa tahap, dimulai dengan pengumpulan data ulasan negatif dari tiga aplikasi M-banking populer. Selanjutnya data akan melalui tahap preprocessing, meliputi: tokenizing, stopwords removal, dan stemming. Sentimen dari ulasan dianalisis menggunakan algoritma Support Vector Machine (SVM) dengan akurasi mencapai 93%, untuk memisahkan ulasan positif dan negatif. Selanjutnya, LDA digunakan untuk memodelkan topik pada ulasan negatif, dengan mengidentifikasi sejumlah topik optimal melalui Coherence Score, yang menunjukkan struktur topik yang logis dan terorganisir.
Hasil penelitian menunjukkan bahwa pada BRImo, topik yang dominan adalah biaya dan kecepatan layanan aplikasi. Pada BCA mobile, pengguna lebih banyak membahas fitur dan kemudahan penggunaan aplikasi, sedangkan pada Livin’ by Mandiri, topik utama yang dibahas berkaitan dengan fitur transfer dan jam transaksi. Kesimpulan dari penelitian ini adalah bahwa metode LDA berhasil digunakan untuk menemukan tren utama dari ulasan negatif pengguna, yang diharapkan dapat membantu bank dalam meningkatkan kualitas layanan dan keamanan aplikasi mobile banking.
Aplikasi Android Manajemen Keuangan BuBu: Budget Buddy Menggunakan Metode Waterfall
Authors: Shafira Putri Dian , Najaf Abdul Rezha Efrat , Permatasari Reisa
Published: January 2025

Generasi Z di Indonesia menghadapi tantangan finansial yang signifikan akibat perilaku konsumtif, seperti belanja online, berkumpul dengan teman, dan gaya hidup berlebihan, yang mendorong ketergantungan pada pinjaman online, baik legal maupun ilegal. Masalah ini diperparah oleh fenomena sandwich generation, di mana mereka harus menopang kebutuhan keuangan keluarga, sehingga menyulitkan mereka untuk mempersiapkan dana masa depan. Selain itu, rendahnya literasi keuangan menyebabkan banyak dari mereka kurang mampu mengelola anggaran secara bijak. Akibatnya, Generasi Z tidak hanya menghadapi tekanan ekonomi yang berat tetapi juga dampak negatif terhadap kesehatan mental akibat beban finansial jangka panjang. Untuk mengatasi masalah ini, dikembangkan sebuah aplikasi manajemen keuangan menggunakan metode Waterfall dengan fitur utama alokasi anggaran dan edukasi finansial. Aplikasi ini dirancang untuk membantu pengguna mengelola keuangan secara lebih baik dan menyediakan artikel edukatif guna meningkatkan literasi finansial. Penelitian dilakukan melalui observasi aplikasi serupa dan wawancara dengan ahli keuangan untuk memahami kebutuhan pengguna. Hasil pengujian menggunakan Black-box menunjukkan bahwa aplikasi berfungsi sesuai dengan ekspektasi, membantu pengguna dalam mengendalikan pengeluaran dan meningkatkan pengetahuan finansial. Aplikasi ini berkontribusi dalam memberikan solusi praktis untuk manajemen keuangan bagi Generasi Z, yang sering menghadapi tantangan ekonomi. Diharapkan, dengan peningkatan literasi keuangan dan pengelolaan anggaran yang lebih baik, pengguna dapat mencapai stabilitas finansial yang lebih tinggi, terutama dalam memanfaatkan peluang ekonomi selama periode bonus demografi di Indonesia.
EVALUATION AND ANTIOXIDANT TEST OF SAFFRON FACE MIST AS A SKIN MOISTURIZER
Authors: Al-Bari Akhmad , Pratiwi Shoffi Ajeng , Ni'am Musfirotun
Published: December 2024

Saffron (Crocus sativus L.) is a medicinal plant used as a spice in food, but recent times have shown that has a role in cosmetics. The saffron stigma has antioxidant activity and is useful in cosmetics. Antioxidants can protect the skin from various types of cell damage due to free radicals from ultraviolet light, motor vehicle fumes, chemicals in food, chemicals, and drugs. The antioxidant content of saffron stigma makes it an ingredient in cosmetics such as face mist. Face mist is a cosmetic skin freshener that refreshes facial skin, removes residual oil from the skin, kills some skin microorganisms, and helps close the pores. The aim of this study was to evaluate the antioxidant properties of the saffron face mist. The evaluation of saffron face mist includes an organoleptic test based on odor, color, and shape/texture, a pH test using a universal pH indicator paper, a specific gravity test using a pycnometer, and a moisture test using a skin moisture meter. The saffron stigma antioxidant test was performed using the DPPH assay. The results showed that the face mist had a rose aroma, golden yellow color, and moist form, the specific gravity ranged from 1.0637 to 1.0689 g/mL, the pH was 6, the moisture value of the facial skin after the application of the face mist to the face ranged from 47.77 ± 3.81 – 56.52 ± 0.72 % ...
Sistem Pendukung Keputusan Dengan Menggunakan Metode ELECTRE II Dalam Menentukan Faktor Yang Mempengaruhi Pemilihan Sabun Mandi
Authors: Fazariani Nabila , Sari Rina Filia , Aprilia Rima
Published: December 2024

Reviewed and with the increasing public awareness of skin health, soap manufacturers are competing to offer their products with various fragrances, forms, and benefits to the public. Each individual certainly has different criteria in choosing bath soap products, such as packaging, product price, product fragrance, type and form, and so on. The purpose of this research is to determine the factors that serve as the basis for each individual in choosing bath soap products by implementing the Elimination et Choix Traduisant la Réalité II (ELECTRE II) method. The ELECTRE II method uses simple criteria, namely setting the same threshold value for all criteria. In contrast, other methods use pseudo criteria where the threshold value is not the same for all criteria. The ELECTRE II method is one of the Multi-Attribute Decision Making (MADM) methods that is effective in determining ranking, as it involves both qualitative and quantitative criteria. Based on the research results, product quality becomes the priority factor in choosing bath soap products, with a Concordance value of 1.375 and a Discordance value of -1.80063, as well as the highest average rank, which is 1. The product price factor ranks second, followed by the skin condition factor in third place, and the product fragrance factor, which ranks last with an average rank of 4.
Implementasi Metode Goal Programming Untuk Optimasi Produksi Cokelat Pada UMKM
Authors: Pradjaningsih Agustina , Andora Ela , Santoso Kiswara Agung
Published: December 2024

Chocolate is a food made from cocoa beans, namely Theobroma Cacao. Cocoa beans harvested are then processed to prevent rotting, which can reduce their quality. Currently, many chocolate manufacturers produce various variants of chocolate products. Each production company tries to achieve maximum profits with minimal costs. Production optimization problems can be addressed using objective programming, which is a method used to develop mathematical models of optimization problems involving multiple objectives or constraints. In goal programming, each goal is expressed as a goal constraint. Objective programming methods involve determining decision variables, objective constraints, and objective functions. Optimization problems are solved using the objective programming method with the help of Lingo software. Optimization calculations using Lingo software show that the production of each chocolate product has reached optimality. Production after optimization reached Rp. 10,380,000 per month, whereas production costs were only Rp. 10,500,000 per month before optimization. The availability of raw materials needed after optimization reached 85 recipes per month, whereas it was 90 recipes per month before optimization. The profit obtained is also optimal, namely Rp. 4,267,000 in one month.
Support Vector Machine-Radial Basis Function Kernel and K-Nearest Neighbor Differences for Classification Superior Varieties of Rice in Indonesia
Authors: Chintyana Alissa , Kertanah Kertanah , Hastuti Siti Hariati , Khotimah Husnul
Published: December 2024

Rice is the primary food source for the Indonesian population, making it a priority commodity in Indonesia. Rice production plays a significant role in Indonesia's economic development, with high-yield rice varieties being crucial for enhancing national rice output. Ensuring food security requires the selection of superior rice varieties with optimal quality. This study evaluates various high-yield rice varieties, including INPARA, INPARI, INPAGO, and HIPA, based on characteristic data collected in 2023. Machine learning algorithms, increasingly central to data analysis, were applied, leveraging labeled data suitable for supervised learning methods. During the pre-processing stage, it was determined that the data did not meet the linearity assumption. Thus the Support Vector Machine (SVM) algorithm was modified with the Radial Basis Function (RBF) kernel to better handle non-linear data. Additionally, the K-Nearest Neighbor (KNN) algorithm, a traditional method, was used for comparison. The results indicate that SVM with the RBF kernel achieved faster processing times and the accuracy value reaches 96%, nearly 10% higher than the KNN algorithm.
Dimensi Partisi Graf Hasil Amalgamasi Sisi Graf Roda dengan Graf Bintang
Authors: Daming Ahmad Syukur , Yuliani Yuliani
Published: December 2024

This study discusses the analysis of the partition dimension of the graph resulting from the edge amalgamation between the wheel graph ( Wn) and the star graph ( Sm), where the partition dimension is an important parameter in graph theory that serves to measure the minimum number of partitions required to distinguish every pair of vertices through a set of supporting vertices. The amalgamation process is carried out by merging one edge of the wheel graph with one edge of the star graph, thus forming a new graph. This research employs theoretical and algorithmic approaches to calculate the partition dimension of the resulting amalgamated graph, focusing on the influence of the number of vertices in both constituent graphs on the changes in the partition dimension. The results show that pd(amal_s(Wn,Sm;v1v2,u1u2))=3 when 4n7 and m=3, and 4 when n=3 and 3≤m≤4, whereas if n≥8 and 3≤m≤⌊n/2⌋, then ⌊n/2⌋ is obtained.
The Orthogonal Matrices of O(2) under A Transitive Standard Action of S^1
Authors: Kurniadi Edi , Pratiwi Putri Nisa , Queency Aurillya , Parmikanti Kankan
Published: December 2024

In this paper, we study a Lie group action of the matrix Lie group O(2) on S1 the unit sphere  . The research aims to establish the explicit formulas for all entries of  whose action on S1  is transitive. All possibilities matrices of  are given in which the space  is homogeneous. We prove that there are exactly two matrices in  such that  is the homogeneous space. Moreover, the homogeneous spaces  S(n-1) of O(n)   for n=3  are also discussed.
Analisis Kemampuan Berpikir Aljabar Ditinjau Dari Kepercayaan Diri Siswa
Authors: Adawiyah Anisah Luthpi , Nur Atiqoh Khamida Siti , Satriawati Gusni
Published: December 2024

Student confidence is one of the factors that affect students' algebraic thinking skills. Algebraic thinking ability is the ability to present information mathematically through diagrams, tables, graphs, equations, and understanding of patterns, functions, structures, and uncertain objects. This study aims to describe and analyze quantitatively the algebraic thinking ability of high school students, high school students' self-confidence and know the influence between algebraic thinking ability and students' self-confidence. This research was conducted in three public high schools in South Tangerang City in the 2023/2024 school year. This research is a survey research with a correlational approach. The test instrument given was a description of algebraic thinking ability and a non-test instrument of self-confidence to 111 students. The results showed that students' algebraic thinking ability and self-confidence were in the moderate category. The results also showed that the effect between students' self-confidence on algebraic thinking ability was 33.60%. It can be concluded that if students' self-confidence is good then the ability to think algebra will also be good. The results of this study can be a consideration for teachers to develop mathematics learning activities that can increase student confidence.
Penerapan Hybrid Metode ARFIMA-ANN Menggunakan Algoritma Backpropagation pada Peramalan Indeks Harga Saham Gabungan
Authors: Buhungo Rayhanul Jannah , Hasan Isran K , Nurwan Nurwan
Published: December 2024

The Composite Stock Price Index (IHSG) is a of the key indicator a country uses to assess its economic condition. The fluctuating movements of stock prices create uncertainly in the stock market, complicating decision-making for investors and government entities. Therefore, there is a need for a method that can forecast the Composite Stock Price Index to monitor such fluctuations. The objective of this study is to model the Composite Stock Price Index Utilizing a hybrid method and to assess the accuracy of this hybrid approach. The hybrid method employed is the Autoregressive Fractionally Integrated Moving Average (ARFIMA)-Artificial Neural Network (ANN). The results of this study show that the best ARFIMA model is ARFIMA (1,d,1) with a differencing parameter of dR/S = 0,362. The ANN model’s optimal architecture obtained through the backpropagation algorithm is ANN (3,2,1). The accuracy of the hybrid ARFIMA-ANN model, measured by the Mean Absolute Percentange Error (MAPE), yielded of 1,0164%, lower than the MAPE value of 1,7326% for the standalone ARFIMA model. This suggests that the hybrid model improves forecasting accuracy and is the most efferctive model for predicting the IHSG.