bluuebunny/crossref_metadata_2025 huggingface dataset:
Tree Monitoring and Carbon Absorption Estimated based on Android at KEHATI AQUA Park Klaten
Authors: Nugraha Nanda Satya , Putra Dian Pratama , Bimantio Mohammad Prasanto , Ferhat Amallia , Zakaria Rama , Ramadhan Muhammad , Bella Egga
Published: December 2022

Penanaman pohon pada sektor swasta dewasa ini menjadi salah satu nilai penting didalam keseriusan perusahaan dalam mengurangi emisi karbon, salah satunya berkaitan dengan Carbon offset yang merupakan serapan energi berkelanjutan untuk mengimbangi penggunaan bahan bakar fosil yang menghasilkan karbon, sehingga monitoring/ inventarisasi keberadaan pohon yang ditanam oleh perusahaan sangat penting untuk dilakukan. Inventarisasi pohon menjadi salah satu kegiatan periodik yang dilakukan guna untuk mengetahui perkembangan pertumbuhan dari pohon yang di tanaman oleh perusahaan. Umumnya inventarisasi yang dilakukan masih menggunakan tally sheet, akan tetapi memiliki efektifitas yang rendah dalam hal tabulasi data sehingga diperlukan satu terobosan untuk menunjang efektifitas inventarisasi tersebut. Jejak.in merupakan salah satu platfom digital yang mengembangkan pemantauan pohon dan jejak karbon berbasis digital (aplikasi android) sehingga perlu untuk dilakukan uji implementasi dalam perpektif efektifitas. Penelitian ini dilakukan di Taman Keanekaragaman hayati (KEHATI) PT. Tirta Investama Pabrik Klaten/ AQUA Klaten Kecamatan Polanharjo, Desa Wangen dan Ponggok dengan durasi waktu 1 bulan. Metode yang digunakan dalam penelitian adalah metode sensus yang artinya total keseluruhan pohon di Taman KEHATI AQUA Klaten diambil secara menyeluruh dan merata. Hasil dari penelitian ini menunjukan bahwa penggunakan aplikasi Jejak.in mampu memberikan efektifitas pengambilan data dan memberikan informasi secara lengkap pada luasan 4,86 Ha dengan total 1048 Pohon yang terdiri dari 59 spesies dengan kesehatan pohon kondisi baik sebanyak 958 pohon, kering sebanyak 26 pohon, terkena hama sebanyak 61 pohon, kondisi mati sebanyak 3 pohon, sedangkan pada taksiran stok karbon di Taman KEHATI AQUA Klaten pada 5 tahun mendatang (2026)  sebesar 40,003 Gt .

Kata kunci : Karbon, jejak.in, Pemantauan
Vegetation Uptake of Carbon Dioxide on Peat Swamp Forests Based on The Growth Rate
Authors: Junaedi Ajun , Hidayat Nisfiatul , Rizal Moh , Munthe Esti
Published: December 2022

This study aims to identify the type composition and estimate the potential for biomass and carbon deposits as well as carbon dioxide (CO2) uptake of peat swamp forest vegetation based on the growth rates (seedling, sapling, pole, tree). The estimation of potential deposits of vegetation biomass is calculated by destructive and non-destructive methods. The potential for carbon impedance is calculated using the formula Bof National Standardization (2011) and CO2 absorption with the IPCC formula (2006). The results showed that the number of vegetation types found was 44 types from 25 families. Stake-level vegetation is the most common type found compared to seedlings, poles, and trees. Tree-level vegetation is dominated by Cratoxylon arborescent BI, Combretocarpus rotundatus pole level, and Stemonurus secundiflorus Blume stake level., the seedling level of Anacolosa frutescens. The potential for biomass, carbon deposits, and CO2 uptake of peat swamp forest vegetation is 179.976 tons/ha; 84.588 tons C/ha; 310.442 tons CO2/ha, respectively. Tree-level vegetation has the highest deposits of biomass and carbon as well as CO2 uptake compared to seedling, sapling, and pole levels. Youth-level vegetation (seedlings, sapling, pole) in peat swamp forests has great potential in storing biomass, carbon, and CO2 uptake in the long term.

Keywords: biomass, carbon, carbon dioxide uptake, peat swamp forest, vegetation
Komposisi Jenis dan Struktur Vegetasi Hutan Gambut Di Desa Tumbang Bulan Taman Nasional Sebangau
Authors: Setiarno  , Atyasa Laksana , Luthfi S. Muhammad
Published: December 2022

Landfire is one of the main factors of peat forest degradation. This work aims to look for species composition, vegetation structure, and post-fire species diversity. This research is situated in a peat forest area at an administrative zone of Desa Tumbang Bulan, around Sebangau National Park of Central Kalimantan being burned in 2015. The research is conducted using a quadratic plot. The observed parameter includes the species composition of stand structure and its ecology characteristics, i.e. Diversity Index, Richness Index, Evenness Index, and Similarity Index. The result showed the vegetation species in the research site are 101 species classified into 52 families which spread in many levels, i.e. seedling, sapling, pole, tree, and bottom plant. Pandanus sp. and Combretocarpus rotundatus are among the species of tree and bottom plant habitat with the highest NPJ. The index diversity, species richness, and evenness of this habitat range from low to high index value, while the inter-site and inter-growth levels of community similarity are low in general. The horizontal stand structure in the research site had a different exposed diameter that resembles the upside down of the "J" curve and concentrated on 10-<20 cm class diameter.

 Kata kunci (Keywords): Peat Swamp Forest, species composition, vegetation structure, growth
Penilaian Kesehatan Pohon Pada Jalur Hijau Di Kota Palangka Raya Kalimantan Tengah
Authors: Saragih Desliana , Wahyudi Wahyudi , Putir Patricia Erosa
Published: December 2022

This study aims to determine the level of tree health, determine the form of pest and disease attacks including damage caused by disturbance or human activities and make recommendations for tree species to be planted on the Green Line,  Palangka Raya, Central Kalimantan. The method used is Forest Health Monitoring (FHM) through grouping the type and level of damage to each individual tree. The results showed that the number of trees found at the study site amounted to 301 individuals from 24 tree species. Analysis of the Health Level of Trees based on the value of the Tree Damage Level Index (TDLI) obtained the category of severe damage level of 45 trees or 15%, light damage level of 97 trees or 33%, and moderate damage level of 78 trees or 26% while healthy trees have total 78 trees or 26%. Based on the level of tree health, the types of trees suitable for planting in the green lane, Palangka Raya City are trembesi (Samanea saman (Jacq.) Merr.), Angsana (Pterocarpus indicus Willd.), and Ketapang (Terminalia catappa H. Perrier,).

 Kata kunci (Keywords): Green line, tree health level, trembesi, angsana, ketapang.
Pemanfaatan Limbah Penggergajian Kayu Meranti Merah Sebagai Bahan Baku Papan Partikel Kerapatan Sedang Dengan Perekat Alami Asam Sitrat
Authors: Koroh Desy Natalia , Santoso Mahdi , Batubara Fitri Diana , Madiyawati Milad , Nuwa Nuwa
Published: December 2022

Red Meranti was a commercial wood that is widely used as a raw material for the timber industry (plywood and sawmill industry), and generated a lot of waste. Currently, the utilization of red meranti waste has not been utilized optimally. One of the optimizing utilization of that waste was for developing a Particleboard with the citric acid natural binder. The objective of this study was to determine the bonding properties of Sawmill Waste Red Meranti Particleboard bonded with a Citric Acid Natural Adhesive. Citric acid was dissolved in water with the concentration of the solution adjusted to 60 wt%. This adhesive solution was sprayed onto the 40 mesh (coarse) and 40 mesh (fine) particles at 10% and 20% resin content based on the weight of oven-dried particles. Each mixture was then hot pressed at 110°C for 15 min under 50 kg/cm² pressure. Density and dimension targets were 0.7 kg/cm³; 30 × 30 × 1 cm. Each experiment was performed in triplicate, and the average value and standard deviation were calculated. The results showed that the interaction of particle size and adhesive content had a very significant effect on density, internal bonding, and screw-holding strength and had no significant effect on moisture content, thickness swelling, and modulus of rupture (MOR). Based on the SNI 03-2105-2006, the physical properties that meet the standard were moisture content and. Meanwhile, the mechanical properties of sawmill waste red meranti particleboard have not met the SNI 03-2105-2006.

Kata kunci (Keywords): Sawmill waste, red meranti waste, citric acid, natural binder.
The dark side of clinical trials and remedial strategies in india
Authors: Poonuru Raja Sekhar Reddy , Gabriela Keerthana , Cheruku Rohini , Sreeramula Swetha , Mothukuri Prajwitha , Bandari Sneha , Bommineni Thanuj Reddy , Madupu Akhila
Published: December 2022

India offers unique benefits to the clinical research fraternity of the world. Breadth of genetic variations, willing subjects due to poverty and abundant research talent brings the world to the door steps of our country. India needs to get its legal framework in to order to check the local exploitation and regulate unscrupulous foreign and domestic researchers. No law is effective unless it is implemented vigorously. Therefore strong executive institutions should be created to implement the laws with severe deterrent punishments. Pharmaceutical practitioners must take this to heart.
Role of remote presence robot in healthcare facilities
Authors: V.C Randeep raj , Jogi Prameela , Omkar Bolem , Ujju Emmanuel , Sanaboina Akhila
Published: December 2022

This article is focused mainly on the role of the remote presence robot in health care facilities. This article has a view of the advantages, disadvantages, objectives, uses of RPRT in health care settings, and in different departments, and precautions to be taken while using RPR. In recent decades the usage of remote presence robots has been used in many clinical settings like ICU, emergency departments, medical, surgical, neurological units, and operating rooms. Remote presence robot technology RPRT, is an advanced robotics device technology that enables health care professionals to provide real-time clinical services to patients. This has been increasing in both outpatient and inpatient settings. RPRT in medical education can teach the professional curriculum to students in an interactive way as teachers do. RPR can even enable teachers to teach and interact with students remotely. The world's first hospital to introduce remote presence robots in the university of California, Los Angeles in its neurosurgery intensive care unit.  The application of  RPRT will increase doctor access for patients, families, and hospital staff in clinical care settings.
A review on role of biomarkers in diagnosis and treatments of various cancers
Authors: MR Kishor , Mekkanti Manasa Rekha , Mathappan Rinku
Published: December 2022

This article is focused mainly on the role of the remote presence robot in health care facilities. This article has a view of the advantages, disadvantages, objectives, uses of RPRT in health care settings, and in different departments, and precautions to be taken while using RPR. In recent decades the usage of remote presence robots has been used in many clinical settings like ICU, emergency departments, medical, surgical, neurological units, and operating rooms. Remote presence robot technology RPRT, is an advanced robotics device technology that enables health care professionals to provide real-time clinical services to patients. This has been increasing in both outpatient and inpatient settings. RPRT in medical education can teach the professional curriculum to students in an interactive way as teachers do. RPR can even enable teachers to teach and interact with students remotely. The world's first hospital to introduce remote presence robots in the university of California, Los Angeles in its neurosurgery intensive care unit.  The application of  RPRT will increase doctor access for patients, families, and hospital staff in clinical care settings.
A prospective study of prevalence rate epidemiology, risk factors and clinical course of dengue fever in tertiary care hospital
Authors: P Asrita , A Sowmya , G Anusha , B Mounika , V.C Randeep Raj
Published: December 2022

Introduction: The origin of word “dengue” is derived from the ‘Swahili phrase ka-dinga pepo’ which describes the disease is being caused by an evil spirit. The dengue virus, a member of the genus Flavivirus of the family Flaviviridae, is an arthropod –borne virus that includes four different serotypes (DEN-1, DEN-2, DEN-3 and DEN-4). Objectives: To investigate the most affected age groups. To investigate the most affected gender. To evaluate social life (occupation, smoker, alcoholic, diet) of dengue positive patients. To investigate the prevalence /incidence in a particular area/population. To observe intensity and severity of signs and symptoms of various dengue positive effected patients. To evaluate the patient’s concomitant diseases. To investigate further complications which might occur during dengue affected patients. Method: A prospective case series study was done on patients admitted in Maharaja Institute of Medical Sciences, Vizianagaram, AP, India. Results: In our study we included total of 100 patients. Out of 100 patients 54 were females and 46 were males. Number of smokers was 06 and 94 were non smokers out of 100 patients. Alcoholics were 04 and non-alcoholics were 96. Most of the patients were from rural background comprising 70% and remaining 30% who were from urban areas. A symptom of high grade fever was experienced by 68 patients and symptoms of Myalagia by 64%. Most of the patients experienced vomiting/s episode/s. out of 100 patients 55 patients had developed headache. Almost all patients have shown drop in platelet count (thrombocytopenia) as a most potential symptom. 12% of patients had hypertension and 4% of patients had diabetes as co-morbidity. 8% of patients shown re-occurrence of dengue infection.
Invitro evaluation of silver nanoparticle of asparagus racemosus for it’s anti diabetic activity
Authors: Mani Rupesh Kumar , Ahmed Syed Sagheer , Babu Anjali , Delna  George  , Jacob Lijiya P , S Vaishnav , Bharathi Bharathi
Published: December 2022

Asparagus racemosus is an important medicinal plant that is found in tropical and subtropical zones in India belonging to the family Lilliacea. Its medicinal usage has been reported in the Indian and British Pharmacopoeias and in traditional systems of medicine such as Ayurveda, Unani, and Siddha. The dried root extract is used as a drug. Asparagus racemosus has been described to use as an antioxidant, antidyspepsia, antitussive, immune stimulant. Also used in the treatment of kidney disorder, chronic fever, liver cancer, stomach ulcer, increase milk secretion, and epilepsy. The major active constituents of Asparagus racemosus are steroidal saponins, isoflavones, polysaccharides, racemose, asparagamine, vitamins, mucilage, and folic acid. It is a commonly known Ayurvedic preparation useful to prevent aging, increase longevity, impart immunity and improve mental functions.
Carasil and htra1: an early adulthood syndrome
Authors: Samuel Sneha Susan , Mishra Bharat , Shajeef Nadheem Muhammad
Published: December 2022

Cerebral Autosomal Recessive Arteriopathy Subcortical Infracts Leukoencephalopathy (CARASIL), is an autosomal recessive disorder inherited by two copies of an abnormal gene from some trait, one from each parent. Person with this disorder may have a change in deep white matter in brain; and this disorder can be characterized by damage to small blood vessels in brain. Increasing muscle tone, slurred speech, stiff movement of legs, gait disturbance, spondylosis, sparse hair are the major symptoms. But the ultimate cause of this disorder can lead to loss of memory, cognitive impairment. This disorder can be caused in early adulthood i.e., between 20-40 years of age. CARASIL has first reported in Japan, later occurred in China and Caucasian population. A neurological disorder named Binswanger’s disease (BD) and chronic immunological disorder multiple sclerosis are main different alternation of this disease. Mutation requires the high temperature resultant, A serine peptidase 1 causes CARASIL, so it is a serine protease.

Serine protease HTRA1 is an enzyme that in humans is encoded by HTRA1 gene. HTRA1 protein is composed of four distinct protein domains. This is located on the long (q) arm of chromosome 10 in a region known as 10q26. This protein is a secreted enzyme that is proposed to regulate the availability of insulin like growth factors (IGF) by cleaving IGF binding proteins. HTRA1 enzyme helps breakdown many other kinds of proteins in this space surrounding cells (extracellular matrix). This is attached to protein in Transforming Growth Factor Beta (TGF-beta) and slows down their ability to send chemical signals. Variant known as rs11200638 is found in an area of gene called promoter region which starts the production HTRA1 enzyme. It is unclear how of polymorphism in the HTRA1 gene might be an age-related macular degeneration.

So at last, we can conclude that CARASIL is related to brain inherited from the abnormal genes caused to small arteries and to the specific area of deep brain in higher function; tissue loss due to lack of oxygen where small arteries get blocked destruction to myelin an oily substance covers and protects the nerve fibers in CNS.
Hubungan Pembelajaran Secara Daring Dengan Minat Belajar Di Masa Pandemi Covid 19 di Universitas Kristen Palangka Raya
Authors: Yemima Yemima , Ricke Marianty  , Kristina Kristina
Published: December 2022

The purpose of this study was to determine the relationship between online learning and interest in learning during the covid 19 pandemic at Palangka Raya Christian University. The respondents in this study were students at the Christian University of Palangka Raya. The data collection technique used in this study was a questionnaire using the google form application. The analytical method used is simple linear regression analysis. The results of this study indicate that online learning has a significant influence on student interest in learning at Palangka Raya Christian University, the relationship between online learning and student interest in learning at Palangka Raya Christian University is positive and strong and the relative contribution of online learning to learning interest is 38.1%.
Analisis Jiwa Kewarganegaraan Generasi Muda Indonesia di Era Digital Serta Dampaknya Bagi Bangsa dan Negara
Authors: Tio Manalu Yitzhak Edmund , Najicha Fatma Ulfatun
Published: December 2022

Citizenship is one of the Behaviour of oneself that collectively commune to shape a community of citizens of a nation which is solid and relying onto each other. Citizenship gives a base fondation for a nation to stand still with the full support of groups of citizens living in a nation itself. Every country will always face the revolutionary changes made by the new generations, regardless Indonesia. Especially, due to the massive improvements on digital technologies that help youth to grow faster into a better being. The implementation of citizenship of Indonesian youths requires a lot of attention in order to increase the certainty of their quality to prepare the youths to fortify the pillars of nationality. To keep the youths’ consistency to hold tight their mindset of citizenship is the responsibility of every layer of a nation, starting from government, society, and the youths themselves.
Peningkatan Motivasi Belajar Peserta Didik SMPN 1 Garut Dalam Pembelajaran IPS Melalui Through Guessing Games
Authors: Alni Dahlena  , Eldi Mulyana
Published: December 2022

In the current situation, in the midst of the spread of the Covid-19 pandemic, which is one of the challenges for students, especially in the educational aspect and society in general in social activities. Where student must carry out the learning with the limitations of supporting technology and the understanding of students in using the learning technology. Apart from these challenges, especially in social studies learning which in considered by students as a subject that is less acttrative and less motivated to learn social studies. So that students tend to be less enthusiastic when participating in learning, especially in distance learning. The purpose of this study to describe social studies learning innovations for students based on fun educational games for students. This research method is a qualitative method using case study techniques directly on students and literature students. The results of this study are; (1) social studies learning strategies based on fun educational games releted to simple social studies materials, but packaged in interesting patterns for students so that they can increase students motivation and interest in learning, especially in social studies leraning; (2) Increasing the optimalization of students in understanding social studies materials with the concept of strengthening reflection in social studies learning, especially in the introduction of regions and cultures in Indonesia.
Interaksi Sosial di Kalangan Peserta Didik Pada Saat Pembelajaran Online
Authors: Eliandy Rian Rifki , Tumanggor En Riskinta , Hasibuan Etti Aini , Toni Nasution
Published: December 2022

This article was made with the title Social Interaction Among Students During Online Learning with the aim of being able to inform the wider community how important social interaction among students during online learning is both in terms of education and in terms of family. The method used is descriptive qualitative by using various supporting sources so that it can be seen that in terms of education students become lazy, have difficulty understanding the material, do not continue school, some work or even get married while online learning is applied and in terms of family, children and parents will be able to understand each other because with the implementation of online learning, children and parents have a lot of time to be together so that social interaction or communication occurs more often and better
Pengaruh Motivasi Kerja dan Lingkungan Kerja Terhadap Kepuasan Karyawan Di CV 77 Kepindo Sejahtera
Authors: Gusdeni Gusdeni , Sundari Sundari , Alexandro Rinto , Nibel Hendrowanto
Published: December 2022

This study aims to determine how the influence of work motivation and work environment that affects employee satisfaction at CV.”77” KEPINDO SEJAHTERA, either partially or simultaneously. The method of this research is to use a questionnaire. Data analysis used multiple linear regression. From the results of the study stated that: (1) Work motivation and work environment simultaneously affect employee satisfaction. (2) Partially, work motivation and work environment affect employee satisfaction significantly. This research approach is a quantitative research with interview data collection techniques, questionnaires, documentation, and observation. Data analysis used multiple linear regression, F statistic test (simultaneous), individual parameter significant test (T test), and R2 determination coefficient test using SPSS 16.0 application. Based on the results of the study using hypothesis testing. In hypothesis testing, SPSS output results with T test results and F test results. The T test output results state that the two variables (X1 and X2) have a significant influence on the variable (Y). The following are the results of X1 against Y getting a significant value of 0.040 <0.05 with the result of T count 2.156 > 2.05183 T table. The results of the X2 T test against Y got a significant value of 0.000 <0.05 with a T count result of 4.877 > 2.05183. Meanwhile, for the SPSS output for testing the F test hypothesis, the significance result is 0.000 < 0.05 with an F count of 72,477 > 3.34. So it can be concluded that H0 is rejected and Ha is accepted, which means that there is an influence between Work Motivation (X1) and Work Environment (X2) variables on Job Satisfaction (Y)
Efektivitas Pembelajaran Daring Pada Mata Pelajaran PPKn Dalam Meningkatkan Semangat Kebangsaan
Authors: Sinaga Ady Martin , Pandiangan Nur Lengkap , Perangin-angin Reh Bungana Beru
Published: December 2022

This study aims to determine the level of effectiveness of online learning in Civics subjects in an effort to increase the spirit of nationalism for students as the nation's generation. This type of research uses descriptive research with a qualitative approach. Data collection techniques are carried out through literature studies and document studies. Online learning aims to meet educational standards by utilizing information technology by using computers or gadgets that are interconnected with students and teachers. The outbreak of the COVID-19 pandemic has forced all schools to carry out learning activities that are usually held face-to-face into online learning. Online learning also affects PPKn subjects but with interesting learning methods, the delivery of material will be effective for PPKn and have a positive effect on the national spirit of students facing life in the midst of the COVID-19 pandemic.
Pengaruh Pembelajaran Era New Normal Terhadap Kualitas Pembelajaran dan Tingkat Pemahaman IPS
Authors: Isnaini Mauludinia  , Saiful Amin
Published: December 2022

The education system in Indonesia is experiencing new challenges caused by the Covid-19 pandemic that has entered Indonesia since 2020. This causes Indonesia to enter a new normal era. The new normal era learning process which is carried out directly in the classroom is different from face-to-face learning before the pandemic. The purpose of this study was to (1) determine the effect of new normal era learning on the quality of learning of social studies; and (2) determine the effect of learning in the new normal era on the level of understanding of social studies. This research method uses a quantitative approach to the type of correlational research. The participant in this study were students of class VII at SMP (Junior High School) Muhammadiyah 06 Dau, Malang, Indonesia with a total of 75 students. The data collection instrument used a questionnaire. The hypothesis test used is the correlation coefficient test, the coefficient of determination, simple linear regression and partial t test with the classical assumption test in the form of normality test, linearity test, homogeneity test, and heteroscedasticity test. The results showed that (1) learning in the new normal era had a significant effect on the quality of learning with a value of 0.000; and (2) learning in the new normal era had a significant effect on the level of understanding of students with a value of 0.002. Based on the research, it can be concluded that learning in the new normal era has an effect on the quality of learning and the level of students' understanding of social studies at SMP Muhammadiyah 06 Dau. The existence of this research is expected for all parties to make good use of face-to-face learning in the new normal era and develop this research as further research to improve the quality of learning and the level of student understanding.
Pengaruh Kualitas Makanan Dan Citra Merek Terhadap Keputusan Pembelian
Authors: Kabanga Margaretha Sartien , Yefta Sanam
Published: December 2022

Salah satu usaha yang dapat dilakukan oleh setiap pelaku usaha adalah menciptakan strategi pemasaran yang berorientasi pada konsumen. Restoran Suka Ramai memiliki banyak pesaing yang juga menawarkan menu seafood, namun di tengah persaingan, restoran Suka Ramai harus mampu bersaing dengan menjaga kualitas makanan yang baik sehingga membuat pengunjung tertarik dengan menu yang ditawarkan. Kualitas produk (makanan) berkaitan erat dengan keputusan pembelian yang dilakukan kosumen. Dengan persepsi kualitas yang baik akan menciptakan citra merek yang baik bagi suatu produk yang akan menimbulkan keputusan pembelian oleh konsumen. Citra merek merupakan salah satu pertimbangan konsumen dalam melakukan suatu keputusan pembelian suatu produk atau jasa. Apabila citra merek sudah tertanam di benak konsumen maka hal tersebut akan membantu konsumen mengurangi kebingungan dalam memilih produk. Oleh karena itu, tujuan dari penelitian ini yaitu untuk mengetahui secara parsial dan simultan pengaruh kualitas makanan dan citra merek terhadap keputusan pembelian pada restoran Suka Ramai Kupang. Temuan penelitian menunjukkan bahwa kualitas makanan dan citra merek secara parsial dan simultan berpengaruh signifikan terhadap keputusan pembelian konsumen pada Restoran Suka Ramai Kupang.
Komitmen Organisasional Sebagai Pemoderasi Hubungan Antara Dukungan TOP Manajemen Terhadap Kualitas Sistem Akuntansi Manajemen
Authors: Renoat Ronald E. , Batilmurik Ridolof W. , Latupeirissa David
Published: December 2022

Penelitian ini mengkaji mengenai peran moderasi komitmen organisasional dari hubungan antara dukungan manajemen puncak terhadap kualitas sistem informasi akuntansi manajemen selain hubungan langsung antara dukungan manajemen terhadap kualitas sistem informasi akuntansi manajemen. Penelitian dilakukan terhadap 73 responden dari 116 karyawan pada Koperasi Talenta Kupang dengan menggunakan Rumus Slovin 5%. Penelitian bersifat kuantitatif dengan pendekatan pengaruh moderasi dengan bantuan Aplikasi Smart PLS. Hasil penelitian menunjukkan bahwa dukungan manajemen puncak secara langsung berpengaruh positif dan signifikan terhadap kualitas sistem informasi akuntansi manajemen, namun komitmen organisasional tidak memperkuat hubungan antara dukungan manajemen puncak terhadap kualitas sistem informasi akuntansi manajemen.
Pengaruh Pengetahuan Keuangan, Sikap Keuangan dan Kepribadian Terhadap Perilaku Manajemen Keuangan Pada Pelaku UMKM Sentra Tenun Ikat Kecamatan Kota Soe Kabupaten TTS
Authors: Intan P Benu Yessi Susan , Kabaga Margaretha Sartien , Yefta Sanam
Published: December 2022

Penelitian ini bertujuan untuk mengetahui (1) pengaruh Pengetahuan Keuangan terhadap Perilaku Manajemen Keuangan pada pelaku UMKM Sentra Tenun Ikat Kecamatan Kota Soe Kabupaten TTS, (2) pengaruh Sikap Keuangan terhadap Perilaku Manajemen Keuangan pada Pelaku UMKM Sentra Tenun Ikat Kecamatan Kota Soe Kabupaten TTS, (3) pengaruh Kepribadian terhadap Perilaku Manajemen Keuangan pada Pelaku UMKM Sentra Tenun Ikat Kecamatan Kota Soe Kabupaten TTS, (4) dan pengaruh Pengetahuan Keuangan, Sikap Keuangan, dan Kepribadian terhadap Perilaku Manajemen Keuangan pada Pelaku UMKM Sentra Tenun Ikat Kecamatan Kota Soe Kabupaten TTS. Hasil penelitian menunjukkan bahwa (1) terdapat pengaruh positif Pengetahuan Keuangan terhadap Perilaku Manajemen Keuangan pada pelaku UMKM Sentra Tenun Ikat Kecamatan Kota Soe Kabupaten TTS dengan thitung (4,619) lebih besar daripada ttabel yaitu (2,034) dan nilai signifikansinya lebih kecil dari 0,05 yaitu 0,000, (2) terdapat pengaruh positif Sikap Keuangan terhadap Perilaku Manajemen Keuangan pada pelaku UMKM Sentra Tenun Ikat Kecamatan Kota Soe Kabupaten TTS dengan thitung (3,557) lebih besar daripada ttabel (2,034) dan nilai signfikansinya lebih kecil dari 0,05 yaitu 0,001, (3) terdapat pengaruh positif Kepribadian terhadap Perilaku Manajemen Keuangan pada pelaku UMKM Sentra Tenun Ikat Kecamatan Kota Soe Kabupaten TTS dengan thitung (2,732) lebih besar dari ttabel yaitu (2,034) dan nilai signifikansinya lebih kecil dari 0,05 yaitu 0,010, (4) terdapat pengaruh positif Pengetahuan Keuangan, Sikap Keuangan, dan Kepribadian terhadap Perilaku Manajemen Keuangan pada pelaku UMKM Sentra Tenun Ikat Kecamatan Kota Soe Kabupaten TTS dengan Fhitung (15,948) lebih besar daripada Ftabel (2,89) dan nilai signifikansinya lebih kecil daripada 0,05 yaitu 0,000.
Pengaruh Kualitas Pelayanan dan Kompetensi Pegawai Terhadap Kepuasan Pengguna Jasa Pada Dinas Pemberdayaan Masyarakat dan Desa Kabupaten Katingan
Authors: Hygia Altonie  , Lelo Sintani  , Uda Tonich , Yunikewaty Yunikewaty , Christa Usup Riassy , Pambelum Yohanes Joni
Published: December 2022

The Community and Village Empowerment Service is the implementing element of Government Affairs in the Community and Village Empowerment Sector which is the regional authority. Implementation of the duties and functions of the Community and Village Empowerment Service as the Implementer of Local Government in the field of Community and Village Empowerment, various efforts have been made by the Leaders, starting from the Staff, Head of Section, Head of Division to the Head of the Katingan Regency Village Community Empowerment Service to spur service and competency improvements. However, all of this has not produced results or has a significant effect on improving employee services. This may be due to a complete lack of competence on how to improve employee services. The problems are as follows: 1) The quality of service is still low at the Katingan Regency Community and Village Empowerment Service. 2). Employee competence is still low in carrying out tasks/jobs at the Community and Village Empowerment Service. 3) Low employee work discipline can be seen from the inaccuracy of employees in using working hours and the absence of attendance (presence) which results in employees not being on time when leaving and coming home from work. This research aims are: 1). To analyze the effect of service quality on service users at the Katingan Regency Community and Village Empowerment Service. 2). To analyze the effect of employee competence on service user satisfaction at the Katingan Regency Community and Village Empowerment Service. This study uses a survey with a research instrument in the form of a questionnaire distributed to respondents. In collecting questionnaires through the process, researchers in collecting primary data with survey methods through research instruments (questionnaires) of all village governments in Katingan Regency with a research sample of 115 respondents. The research site is in Katingan Regency. Primary and secondary data sources, data collection methods used literature study (documentation), and questionnaires. The analytical tool used in this study is the PLS (partial least square) based SEM (structure equation model) method. The results of this study indicate that: The results of testing the effect of service quality on increasing service user satisfaction can be proven by looking at the estimated path coefficient value of 0.115 with a critical point value (t-statistic) of 0.618 (<1.96) or a P-value of 0.000 greater than = 0.05 which means it is not significant. The results of testing the effect of competence on increasing service user satisfaction can be proven by looking at the estimated path coefficient value of 0.763 with a critical point value (t-statistic) of 4.271 (> 1.96) or P-value 0.000 smaller than = 0.05 which means significant.
Penggunaan Istagram Sebagai Media Interaksi Sosial Pada Mahasiswa Pendidikan Sosiologi 2019 Universitas Sultan Ageng Tirtayasa
Authors: Isni Reniati  , Rini Agustin  , Chorunnisa Chorunnisa , Danik Suryani  , Ria Risdiana  , Opy Trisnawati  , Kudus Wahid Abdul
Published: December 2022

The purpose of this study is to find out the use of Instagram as a medium for social interaction among 2019 Sociology Education Students at Sultan Ageng Tirtayasa University (Case study of various socio-cultural perspectives and social psychology contexts). In fulfilling information data, the authors used three data collection techniques, namely by observation, interviews and supplemented by documentation from journals, books, articles, and other sources. Through interviews, the researcher selected six main informants to answer questions that had been determined based on theory and one key informant who became the all-knowing center among the six main informants. The data found is then analyzed, according to Miles & Huberman (1992: 16) data analysis consists of several stages, namely, (1) data collection, (2) data reduction), (3) data presentation, (4) drawing conclusions, and (5) evaluation. To facilitate researchers in carrying out research activities, researchers use a series of working hypotheses or a reference sentence used in interviews and guidelines for compiling research results and discussion. The hypotheses used are (1) Instagram is a medium of social interaction that is of interest to the current generation, (2) Instagram is an example of cultural and social diversity in society, and (3) Instagram has both positive and negative impacts on users. Which will be examined using the theory of Symbolic Interactionism. The hypotheses used are (1) Instagram is a medium of social interaction that is of interest to the current generation, (2) Instagram is an example of cultural and social diversity in society, and (3) Instagram has both positive and negative impacts on users. Which will be examined using the theory of Symbolic Interactionism. The hypotheses used are (1) Instagram is a medium of social interaction that is of interest to the current generation, (2) Instagram is an example of cultural and social diversity in society, and (3) Instagram has both positive and negative impacts on users. Which will be examined using the theory of Symbolic Interactionism.
Performance Investigation of Solar Photovoltaic System for Mobile Communication Tower Power Feeding Application
Authors: Janardhan Kavali , Nayak Meghya , Venkataramana Ch. , Rao P. Maheswara , Kumar B. Hemanth
Published: December 2022

In emerging nations like India, the use of energy is rising quickly over time. The moment is opportune to rely increasingly on renewable energy sources, such as solar photovoltaic, to satisfy the demand. Mobile communication towers are one of the industries with the highest power consumption rates, and a lot of these towers are situated rather distant from the power grid. This research develops the performance investigation of solar photovoltaic system for mobile communication tower power feeding application. In order to power the mobile tower, a 6 kWP solar photovoltaic system with 250WP polycrystalline solar panels is designed. Multiple low dc voltage ports are needed, and isolated output dc ports at 48 V dc are made using an isolated dc-dc converter. The amount of battery bank needed is determined via mathematical modelling depending on the backup time. On the 1-dimensional platform, real-time inputs like solar radiation and panel temperature are taken into account and simulated. Results are monitored both at the panel level and at the system level using an isolated dc-dc converter for panel level monitoring. Theoretical findings are used to validate the simulation results.
Modified Synchronous Reluctance Motor for Electric Vehicle Applications
Authors: Kumar Busireddy Hemanth , Kadam Deepak Prakash , Rajitha Saka , Sundaramoorthy Prabhu , Penchalaiah T. , Janardhan Kavali
Published: December 2022

This research article explores a comparative investigation on synchronous reluctance motor (SyRM) for electrified transportation system. The SyRM has salient features like absence of magnet, singly excited but it shrinks its application due to high torque ripple aspects. The novelty of the proposed work is the rib and flux barrier of the rotor in SyRM are modified in order to achieve low torque ripple without affecting the average torque of the motor. Analysis in the electromagnetic domain infers to enhance the sustainability and reliability of the transportation system. So, it results in the reduction of torque ripple, leads to minimize the acoustic noise. This article delivers the geometric optimization to achieve SyRM with low torque ripple. The finite elemental analysis infers the torque ripple, losses and unbalanced magnetic force for SyRM. The notched and round barrier type SyRM with one-layer results acts as superior motor among different layers and geometries. The experimental arrangement is carried out in real time vehicle and the results are obtained for different loading conditions and validated with FEA findings.
An Adaptive Technique for Underwater Image Enhancement with CNN and Ensemble Classifier
Authors: Gupta Yogesh K. , Saxena Khushboo
Published: December 2022

Image Restoration is a significant phase to process images for their enhancement. Underwater photographs are subject to quality issues such as blurry photos, poor contrast, uneven lighting, etc. Image processing is crucial in the processing of these degraded images. This research introduced an ensemble-based classifier based on the bagging approach to enhance UW images. The support vector machine and random forest classifiers serve as the ensemble classifier's main classifiers. Additionally, to complement the feature optimization technique, the proposed ensemble classifier leverages particle swarm optimization. The feature selection method for the classifier is improved by the feature optimization process. To validate results, underwater images are collected by the Kaggle repository. In this process, Extreme Learning (EL) and Convolution Neural Network (CNN) are compared with suggested algorithms. The simulation results indicate that the proposed algorithm outperformed the existing work.
Retinal Disease Identification Using Anchor-Free Modified Faster Region-Based Convolutional Neural Network for Eye Fundus Image
Authors: T Arulselvam. , Joseph Dr. S. J. Sathish Aaron
Published: December 2022

Major Improvements in diagnostic methods are providing previously insight into the condition of the retina and other conditions outside of ocular disease. Infections of the retinal tissue, as well as delayed or untreated therapy, may result in visual loss. Furthermore, when a large dataset is involved, the diagnosis is prone to inaccuracies. As a consequence, a completely automated model of retinal illness diagnosis is presented to get rid of human input while maintaining high accuracy classification findings. ODALAs (Optimal Deep Assimilation Learning Algorithms) are unable to handle zero errors or covariance or linearity and normalcy. DLTs (Deep Learning Techniques) such as GANs (Generative Adversarial Networks) or CNNs might replace the numerical solution of dynamic systems (Convolution Neural Networks), in order to speed up the runs. With this objective, this research proposes a completely automated multi-class retina disorders prediction system in which pictures from the Fundus image dataset are upgraded using RSWHEs (Recursive Separated Weighted Histogram Equalizations) to boost contrast and noise is eliminated using the Wiener filter. The enhanced picture is used for segmentation, which is done using clustering and the optimum threshold. The suggested EFFCM is used for clustering (Enriched Fast Fuzzy C Means) The suggested AOO (Adaptive optimum Otsu) threshold technique is used for clustering and picture optimal thresholding. This paper suggests AMF-RCNNs (anchor-free modified faster region-based CNNs) that integrate AFRPNs (anchor free regions proposal generation networks) with Improved Fast R-CNNs into single networks for detecting retinal problem exactly. The performances of the suggested method illustrate improved outcome when compare with other related techniques or methods.
Hybrid Deep-Generative Adversarial Network Based Intrusion Detection Model for Internet of Things Using Binary Particle Swarm Optimization
Authors: S Balaji , Sankaranarayanan Dr. S.
Published: December 2022

The applications of internet of things networks extensively increasing which provide ease of data communication among interconnected smart devices. IoT connected with smart devices diverse in a range of fields associated with smart cities, smart-transportation, smart- industrial, healthcare, hospitality etc. The smart devices lack with computational power, energy and inconsistent topology. Due to these factors these are most vulnerable to security attacks which affect the transmission reliability of data between nodes. An IoT network connects heterogeneous devices together and generates high volume of data. To provide security against intrusion attacks, deep neural network (DNN) techniques are adopted to detect malicious attacks. We have proposed on an anomaly Hybrid based deep learning-based approach which is Generative Adversarial Network in accordance with detecting malicious intruders. We designed a distributed IDS controller validated over dataset of NSL-KDD and proven with higher performance in detecting the DDOS Distributed- Denial- of service- attacks. Thus, Experimental Results are calculated with predefined threshold values to detect DDoS-attacks and the resultant proves that HD-GAN model offers better intrusion detection with respect to higher accuracy, recall, precision, f-measure, and lower FPR (False-Positive-Rate).
Modeling of ZnO Nanorods on Paper Substrate for Energy Harvesting
Authors: P. Geetha
Published: December 2022

Nano devices are used for energy generation, storing, and harvesting. Among other metal oxides, ZnO shows high performance in piezoelectric energy generation. In this work, the analysis of the parameter dependency of the amount of energy generated for a piezoelectric material on a paper flexible substrate is done. The load is applied in the shape of lines and alphabets. It is found that the displacement is directly proportional to the generated energy. The role of surface area in producing energy and the distribution of pressure with respect to material strength are added.
Intensive Analysis of Routing Algorithm Detection over Mobile Ad hoc Network Using Machine Learning
Authors: Rajesh Dr. M. V. , Srinivas P V V S , Lakshmanarao A.
Published: December 2022

As we are in the Digital Era, in our daily life activities we use different types of communication devices like Mobile Phone, Laptops, Smart watches, etc. and In Common these Mobile Devices allows users to access Information and Services through wireless mode. Basically, there are two types of wireless Networks they are Infrastructure and Infrastructure less Networks. This Infrastructure Network is known as Cellular Networks, they are stationary components, and they used to connect the Mobile Nodes within the Network. But this Infrastructure less Network is also known as Mobile Ad hoc Network (MANET). MANET consist of no fixed Routers and unlimited Nodes. They are Dynamic in Nature. They can move at any direction and at any Movement. It forms a temporary Network for Data Transmission Purpose from Source and Destination. There can be any number of Nodes in Between Source to Destination. Here this Transmission of data is taken place with an Optimal Path in the MANET. This MANET is preferred to be used during Natural Calamities and for Military Operations. Here the node will be created first for communication in this proposed research work. Then the Machine Learning Algorithm will be applied after the node creation. There will be n numbers of nodes, one is master and the n-1 are treated as slaves. The Master node will be concluded by using Highest Network range. The charge will be checked and maintained by Machine Learning Algorithm. Again, Master will update the information. Here ML Algorithm will be act as data centers. The Master node will be changed as per their Capacities based on ML algorithm. In this research work we will discuss about the process of Routing, which will be carried by DSR Algorithm which is more responsive when compared with AODV and DSDV.
Performance Evaluation of Low Power Hybrid Combinational Circuits using Memristor
Authors: Garg Jyoti , Wairya Subodh
Published: December 2022

Recently, extending the use of memristor technology from memory to computing has received a lot of attention. Memristor-based logic design is a new concept that aims to make computing systems more efficient. Several logic families have emerged, each with its own set of characteristics. In this paper, CMOS-based hybrid memristor-based combinational circuits are designed. Many computational devices require combinational circuits. All of the proposed designs were analysed for power, latency, and transistor count. Cadence Virtuoso is used for simulation of circuits. In this study, we used the VTEAM model to describe the simulated memristor because it is easy to understand and gives accurate results.