bluuebunny/crossref_metadata_2025 huggingface dataset:
Kualitas Donat Berbahan Dasar Tepung Terigu dengan Tambahan Tepung Wortel
Authors: Putra Agus Erik Sanjaya , Sudiarta I Nyoman
Published: January 2024

Donat berbahan dasar tepung terigu dengan tambahan tepung wortel yang dinilai dari kualitas rasa,aroma,tekstur,dan tampilan sehingga masyarakat dapat memanfaatkan wortel agar bisa dijadikan inovasi terbaru yang dinilai dari segi rasa,aroma,tekstur,warna,daya tahan,biaya produksi dan hasil minat konsumen pada donat berbahan dasar tepung terigu dengan tambahan tepung wortel. Penelitian ini menggunakan teknik analisis data deskriptif berbasis organoleptic dimana melakukan proses percobaan atau trial terlebih dahulu agar menghasilkan sebuah produk yang layak dikonsumsi masyarakat, lalu membagikan kuisioner yang dibagikan kepada 30 orang panelis yang terdiri dari masyarakat umum, mahasiswa/I IPB Internasional. Hasil penelitian menunjukan donat berbahan dasar tepung terigu dengan tambahan tepung wortel memiliki rasa yang cukup enak,aroma cukup sedap,tekstur yang cukup lembut dan memiliki tampilan warna yang cukup menarik. Lalu uji daya tahan dapat disimpulkan bahwa donat berbahan dasar tepung terigu dengan tambahan tepung wortel dapat bertahan selama 2 sampai 3 hari di suhu ruangan. Biaya produksi dalam pembuatan donat berbahan dasar tepung terigu dengan tambahan tepung wortel menghabiskan biaya sebesar Rp. 87.600,- dan dari hasil kosionerminat konsumen bahwa 25 dari 30 partisipan berminat untuk membeli donat berbahan dasar tepung terigu dengan tambahan tepung wortel jika dijual dipasaran.
 
Donuts made from wheat flour with the addition of carrot flour assessed from the quality of taste,aroma, texture, and appearance so that people can use carrots so that they can be used as the latest innovations judged in terms of taste, aroma, texture, color, durability, production costs and yield. consumer interest in donuts made from wheat flour with the addition of carrot flour. This study uses an organoleptic-based descriptive data analysis technique which conducts an experimental or trial process first in order to produce a product that is suitable for public consumption, then distributes questionnaires which are distributed to 30 panelists consisting of the general public, IPB International student. The results showed that donuts made from wheat flour with the addition of carrot flour had a fairly good taste, quite delicious aroma, a fairly soft texture and a fairly attractive color appearance. Then the endurance test can be concluded that donuts made from wheat flour with the addition of carrot flour can last for 2 to 3 days at room temperature. The production cost in making donuts made from wheat flour with the addition of carrot flour costs Rp. 87,600,- and from the results of the consumer interest cosioner, that 25 out of 30 participants are interested in buying donuts made from wheat flour with the addition of carrot flour if sold in the market.
International Consensus Statement on the Role of Nurses in Supervised Consumption Sites
Authors: Gagnon Marilou , Gauthier Tim , Adán Elena , Bänninger Andy , Cormier Luc , Gregg Jennifer Kathleen , Gill Sara , Horsburgh Kirsten , Kreutzmann Peter , Latimer Julie , Bourhis Gurvan Le , Livgard Christina , Parker Derek , Reiremo Tori , Telegdi Erin , Thorner Teresa , White Marguerite
Published: January 2024

Background and Objective

There are currently more than 150 supervised consumption sites (SCS) worldwide. These sites offer a much-needed point of contact between the health care system and people who use drugs and, as such, have been proven to effectively reduce harms and improve health. SCS are typically staffed by mental health and harm reduction workers, social workers, workers with living or lived experience, and registered nurses. It has been established that the care provided by nurses within SCS fall within their legislated scope of practice but the actual role of nurses in SCS remains poorly defined and understood.

Material and Methods

To address this significant practice, policy and research gap, a consensus statement was developed based on information generated by 17 content experts from 10 countries namely, Canada, Spain, Australia, France, Denmark, Norway, Ireland, Switzerland, Germany, and Scotland. The statement was developed from “the ground up” by gathering information on three content areas: nursing practice in SCS, training, and needs. This information was summarized, and then submitted to two rounds of voting using a modified Delphi method to build consensus.

Results

The final content of the consensus statement is comprised of five sections: (1) Philosophy of care, (2) Framework, (3) Nursing role, (4) Training requirements, and (5) Needs of nurses.

Conclusion

This consensus statement is the first step toward a better understanding of the role of nurses in SCS. There is immense responsibility on nurses in this setting, as the majority of people who access SCS face many barriers in accessing other health and social services, even when their need for those services may be critical. For these reasons, it is essential to better prepare nurses for these realities. We hope that this first international consensus statement can serve as a foundation to guide practice, policy, research, and operational decisions in SCS.
Modelling and analysis of rooftop PV as an energy optimization of flat roof and gable roof mounting system
Authors: Iskandar Handoko Rusiana , Taryana Een , Zainal Yuda Bakti
Published: January 2024

Photovoltaic (PV) systems are designed for both communal and self-installation. PV systems are intended for both communal and standalone installations. Installation is required not only in industry and commerce, but also in the growth of energy potential at Universitas Jenderal Achmad Yani.  The focus of this research is rooftop PV modelling and analysis at Universitas Jenderal Achmad Yani. Because the ground mounting system could not be done due to limited land, a rooftop solar power-producing system was created. Data gathering is done as part of unique research that takes into account numerous technological criteria for efficiency. System analysis conducted by modelling and simulation, which will make use of a variety of tools linked to this PV system. Data was gathered from similar studies while accounting for numerous technological variables such as modelling and efficiency. K2Base system was used to model flat roofs with concrete roof types and gable roofs with tile roof types. The mounting type, wind load, truss load, and ballast were all taken into account in the design. This article also calculates PV panel configurations and component capacities. There are many different panels that can be constructed from each model. With a maximum roof area of 837.52 m2, 33 to 350 PV panels may be used. The number of inverters is changed to provide outputs of 10 kW, 25 kW, and 50 kW based on the calculations' findings. With differences in autonomous days, the number of batteries obtained has an average of more than 200 batteries.
Determination of flood vulnerability level based on different numbers of indicators using AHP-GIS
Authors: Eryani I Gusti Agung Putu , Jayantari Made Widya , Ramli Suzana
Published: January 2024

approaches to a flood management strategy. One of the most important steps is identifying flood-vulnerable areas. A flood vulnerability assessment is necessary to identify the areas. Currently, research on flood vulnerability assessment uses different indicators to determine the flood vulnerability level. However, it is unknown how the number of indicators used to assess flood vulnerability affects the results. This research aimed to determine the effect of the number of indicators used in estimating flood vulnerability using the AHP-GIS method on the resulting flood vulnerability level. Therefore, this research analyzed the weight of each indicator for five scenarios using the AHP method. This step is continued using GIS to create an overlay map to calculate each scenario's flood hazard index. The indicators used to determine the flood vulnerability index include elevation, slope, flow accumulation, drainage distance, land use, soil type, and annual rainfall intensity. The results showed that the reduction of indicators from seven to six caused the areas with moderate and very high levels of flood vulnerability to increase, while those with high levels decreased. Meanwhile, the reduction from six to five indicators caused the areas with low and moderate vulnerability to reduce, while those with high and very high levels increased. It was also discovered that when the indicators were changed from five to four, the areas with moderate and high vulnerability increased while those with very high levels decreased.
Design of supply chain risk mitigation system using house of risk and Fuzzy AHP methods in precast concrete
Authors: Dvaipayana Made Arya Teguh , Sriwana Iphov Kumala , Prambudia Yudha
Published: January 2024

Today's global supply chain has many risk factors. These risks include supply disruptions, supply delays, demand fluctuations, price fluctuations, and exchange rate fluctuations. Risks that arise and cannot be mitigated properly in the supply chain can disrupt the company's business processes in various sectors. Companies in the construction sector when working on construction projects face many risks during the project cycle, especially risks in the supply chain process. Partial risk management, namely only on construction projects and not specifically on the supply chain process, causes potential risks in the supply chain process not to be identified in detail, and mitigation strategies cannot be determined effectively for risks in the supply chain. This research was conducted to identify risks and determine appropriate mitigation strategies using the house of risk as a framework and a fuzzy analytical hierarchy process weighting method to select the best mitigation strategy. The research results showed that there were 26 risk events and 21 risk agents identified, and the 5 best mitigation strategies were chosen from the 10 formulated strategies for a mitigation monitoring system. Based on research results, the best risk mitigation strategy can be used as a reference for risk mitigation actions in the company's supply chain as outlined in the form of a dashboard monitoring system.
Strength and durability properties of concrete made with recycled coarse aggregate and seashore sand
Authors: Kalaimani D. , Srinivasan G.
Published: January 2024

The process of depletion of sources of natural aggregates poses challenges to produce technically and environmentally suitable concrete. Aggregate compositions found in construction and demolition (C&D) waste offer potential alternatives to natural coarse aggregates. Additionally, the utilization of abundantly available natural material like seashore sand, as a replacement for river sand, can present a viable solution to this problem. This research paper investigates the performance of concrete that incorporates 40% recycled coarse aggregates, along with varying percentages of seashore sand as replacements for river sand (0%, 10%, 20%, 30%, 40%, 50%, and 100%). The evaluation focuses on strength properties, including compressive strength tests on cylinders and impact resistance tests, as well as durability properties such as water penetration tests under pressure and sulphate attack tests. The experimental results indicate that concrete incorporating both recycled coarse aggregates and seashore sand replacements yields favorable outcomes in terms of strength and durability when compared to the controlled concrete, particularly at suitable replacement proportions.
Identifying weaknesses and strengths of existing I4.0 Readiness Indices to enhance INDI 4.0
Authors: Hasbullah Hasbullah , Bareduan Salleh Ahmad
Published: January 2024

Indonesia has low Industry 4.0 (I4.0) readiness in ASEAN and has the INDI 4.0 Instrument (Indonesia Industry 4.0 Readiness Index), which is less comprehensive and accurate. An Initial survey confirmed that only 56.86% of respondents agreed that INDI 4.0 accurately measures readiness in the manufacturing industry. Unlike primary I4.0 indices, INDI 4.0 lacks comprehensive Industry 4.0 dimensions and characteristics, as many literature and other indices cover. This study aims to identify weaknesses and strengths of major I4.0 indices by comparing them to enhance INDI 4.0. This paper identified gaps in existing major I4.0 indices by scoping review method. However, each index contributes to increasing practicality, fulfilling latent needs, and expanding complementary perspectives in measuring readiness and adoption of I4.0 based on studies, viewpoints, uniqueness, and views of each. This study offered a more comprehensive perspective, especially from developing countries like Indonesia, with industries struggling to adopt I4.0 to fill loopholes in existing major indices that are generally from developed countries, so most companies in their study have advanced or implemented I4.0 and are too focused and too oriented on technology. The findings from this paper are expected to contribute to industry, practitioners, and academicians in increasing accuracy when measuring readiness toward adopting I4.0.
Resonance analysis of fan blade design using Finite Element Method
Authors: Romahadi Dedik , Youlia Rikko Putra , S. Wibisono Himawan , Imran Muhammad
Published: January 2024

Fan motors move liquids, such as air, in the gas phase from one place to another. The frequency of the fan blades, which are the main components of the fan motor, can vary. It is crucial to know the frequencies of each fan blade to avoid design failures caused by resonance. This research analyzes the effect of differences in the angle and number of blades on the natural frequency of the fan to avoid resonance with the motor rotation frequency. Modeling and simulation using the finite element method in the Solidworks application are used to determine the natural frequencies of the fan. Fans come in various configurations, with blades ranging from two to four, and blade pitch can be 25°, 30°, or 40°. Variations in the number of fan blades and changes in blade pitch show that the low mode shape does not affect the natural frequency, while the high mode has a negligible effect. The natural frequency of fan blades 2, 3, and 4 exhibits variations when operated with motors running at 25, 35, or 50 Hz. The findings imply that the fan blades' inherent frequency does not align closely with the motor rotational frequency, indicating that the design is safe.
Developing adjustable stiffness for smart material of magnetorheological elastomer to diminish vibration
Authors: Priyandoko Gigih , Suwandono Purbo , Sasongko Muhammad Ilman Nur , Ubaidillah Ubaidillah , Wicaksono Sigit Tri
Published: January 2024

Many vibration isolators, such as passive vehicle mounting devices, have an inflexible stiffness. This article presents the development of a smart material vibration isolator based on magnetorheological elastomer (MRE), which has adjustable stiffness to minimize unwanted vibrations. The objective of this research is to first create a design for the vibration isolator, and then simulate a magnetic circuit. The Finite Element Method Magnetics (FEMM) software was employed to simulate the effectiveness of the electromagnetic circuit in generating a magnetic field through the vibration isolator by employing MRE samples. Pure iron was chosen as the material for the housing of the vibration isolator test rig. To attain an optimal magnetic field, an inventive design of the magnetic circuit, including examination of the wire type, size, and coil turn number, along with the housing material of the test rig, was performed. The study analyzed the performance of the MRE vibration isolator concerning different current inputs in the coil. The results indicate that the stiffness value of the MRE-based isolator system can be more effectively modified by increasing the current inputs. Therefore, a larger current input leads to a greater change in stiffness.
Performance analysis of ship mounting PV panels deployed in Sungsang Estuary and Bangka Strait, Indonesia
Authors: Zullah Afiz , Dewi Tresna , Rusdianasari Rusdianasari
Published: January 2024

In an archipelago country like Indonesia, maritime transportation is essential. However, the ships, like other modes of transportation, burn fuel, contributing to CO2 emissions and negatively impacting marine life. Alternative renewable energy can help solve this problem while being environmentally friendly and cost-effective. As a result, this research describes installing PV systems to power electronic loads on a pilot ship. The supply-demand scenario was simulated using the System Advisory Model. The experiment lasted 176 days, 32 of which were still hybrid with a diesel generator, and for 144 days, electronics loads were entirely powered by PV systems. The experimental results show that the generated power consistently exceeds what is necessary. MPPT may also control the battery charging to avoid overcharging by ensuring the voltage input is always consistent. The maximum generated power is 2356 W with a peak load of 1669 W, and the average generated power is 1645 W with a load of 720.6 W. According to SIMAPRO's life cycle study results, the most significant environmental impact comes during installation due to using diesel fuel trucks and when the PV system is no longer operational since it will become a landfill, harming the ecosystem. PV systems, on the other hand, have no environmental impact during installation. Economic estimates show significant savings and, of course, profits.
Design of water level detection monitoring system using fusion sensor based on Internet of Things (IoT)
Authors: Adriansyah Andi , Budiutomo Muhammad Hanif , Hermawan Heri , Andriani Reni Ika , Sulistyawan Rama , Shamsudin Abu Ubaidah
Published: January 2024

River flooding is a condition when the water in a river overflows and exceeds its normal capacity, thereby flooding the surrounding area. This flood disaster has been a known problem for a long time and causes great damage in the affected areas. Flood events inRivers are influenced by many factors, such as climate change, rapid urbanization, inappropriate land use, ineffective water management patterns, as well as uncontrolled addition of hard soil surfaces. Flood conditions in rivers involve complex processes and are influenced by various factors components, such as rainfall, water flow, topography, vegetation, and many other factors. Therefore, this research is very urgent because it can help reduce the negative impacts of flooding, increase public safety, become a basis for decision making, save costs and resources and make a positive contribution to technological development. This study aims to create a prototype of a flood early warning system. The system is based on a wireless sensor network whose interconnections are connected by a star topology. Every node is a combination of several sensors (sensor fusion) that are related to detecting floods, such as: height sensors, water flow speed sensors and rainfall intensity sensors. Design of hardware (hardware) and software (software) will be done. A classification mechanism based on Fuzzy Logic will be used to estimate flood conditions based on existing data. Flood estimation will determine the time and distance of flood events that will occur. Several experiments in the laboratory will be carried out to determine the performance of the designed system.
Prevalence and Predictors of Burnout Among Resident Family Physicians
Authors: Doe Sydney , Coutinho Anastasia J. , Weidner Amanda , Cheng Yue , Sanders Kaplan , Bazemore Andrew W. , Phillips Robert L. , Peterson Lars
Published: January 2024

Background and Objectives: Resident burnout may affect career choices and empathy. We examined predictors of burnout among family medicine residents.
Methods: We used data from the 2019–2021 American Board of Family Medicine Initial Certification Questionnaire, which is required of graduating residents. Burnout was a binary variable defined as reporting callousness or emotional exhaustion once a week or more. We evaluated associations using bivariate and multilevel multivariable regression analyses.
Results: Among 11,570 residents, 36.4% (n=4,211) reported burnout. This prevalence did not significantly vary from 2019 to 2021 and was not significantly attributable to the residency program (ICC=0.07). Residents identifying as female reported higher rates of burnout (39.0% vs 33.4%, AOR=1.29 [95% CI 1.19–1.40]). Residents reporting Asian race (30.5%, AOR=0.78 [95% CI 0.70–0.86]) and Black race (32.3%, AOR=0.71 [95% CI 0.60–0.86]) reported lower odds of burnout than residents reporting White race (39.2%). We observed lower rates among international medical graduates (26.7% vs 40.3%, AOR=0.54 [95% CI 0.48–0.60]), those planning to provide outpatient continuity care (36.0% vs 38.7%, AOR=0.77 [95% CI 0.68–0.86]), and those at smaller programs (31.7% for <6 residents per class vs 36.3% for 6–10 per class vs 40.2% for >10 per class). Educational debt greater than $250,000 was associated with higher odds of burnout than no debt (AOR=1.29 [95% CI 1.15–1.45]).
Conclusions: More than one-third of recent family medicine residents reported burnout. Odds of burnout varied significantly with resident and program characteristics.
Innovative teaching strategies: A principal component analysis
Authors: Ramasimu Ntsieni Fitzgerald
Published: January 2024

The paper investigated the degree of innovative teaching practices by secondary school teachers in the Vhembe District, South Africa, using a principal component analysis approach. Innovative teaching strategies refer to creative and efficient actions and performances that teachers use in the selection of materials, techniques, and learner assessments to encourage and develop learner creativity (Yu et al., 2021). Innovative teachers are those whose teaching methods differ from the conventional patterns of knowledge-transfer teaching and teacher-centred teaching. They solve educational problems in novel ways using new technologies and theoretical frameworks while guiding learners in deep learning and creativity (Tan et al., 2022). The objective of the study was to examine the innovative teaching strategies implemented by teachers in rural secondary schools to improve learner performance. A descriptive case study was employed in the paper, which was based on a quantitative research design. Using probability sampling approaches, 338 secondary school teachers were sampled. Data was collected through questionnaires and was analysed using descriptive statistical methods. The variables were reduced from 30 to 9 clusters using principal component analysis with varimax rotation. Clusters were termed stakeholders’ engagement, school and classroom practices, learner support, collaboration, professionalism, technology, relationships, diversity, and expertise.
Do impact investing opportunities exist in public equity? An empirical examination
Authors: Hansen Søs Elisabeth , Sigurjonsson Throstur Olaf
Published: January 2024

Even though impact investing increasingly establishes a presence in public equity, research confirming that this asset class is feasible for impact investments is lacking (Phillips & Johnson, 2021). This has resulted in queries about unrealistic assumptions of achieving positive social and environmental impact, alongside financial returns, in a public equity setting (Bernal et al., 2021; Boscia et al., 2019). Resultingly, the public equity approach to impact investing has been accused of being the first step towards a total dilution of the industry’s original mission of attaining goals that are not feasible through neither pure philanthropic grants nor conventional investments. Aimed at bridging the current research gap, within the literature of impact investing, this paper examines whether impact investing opportunities exist in public equity. Based on an empirical foundation of 163 publicly listed companies, which are the target of impact investments made through impact funds, it is found that impact investing opportunities exist in public equity when evaluated based on long term measures of shareholder value creation. Theoretical implications suggest that the concept of impact investing does not need to be refined in a public equity setting and that the field could advance from discussing the fundamental assumptions to start defining the boundaries of impact investing in public equity.
Lauka pupu slimības un to ierosinātāji
Authors:   Latvijas Biozinātņu un tehnoloģiju universitāte, Bankina Biruta , Bimsteine Gunita ,   Latvijas Biozinātņu un tehnoloģiju universitāte, Kaneps Janis ,   Latvijas Biozinātņu un tehnoloģiju universitāte
Published: January 2024

Ilustrētajā izdevumā apkopota informācija par lauka pupu slimībām un to ierosinātājiem. Raksturotas slimību pazīmes, to ierosinātāji un attīstības cikli. Pievienota ilustrēta terminu un svešvārdu vārdnīca. Izdevums ir domāts agronomiem, studentiem un citiem interesentiem. Izdevumā izmantotas oriģinālās fotogrāfijas no LBTU Augsnes un augu zinātniskā institūta Augu patoloģijas zinātniskās laboratorijas arhīva, kā arī Gunitas Bimšteines zīmējumi.
The Urgency Of Authentication And Protection Of Personal Data In Online Transactions
Authors: Niami Mutimatun
Published: January 2024

Fraud in online trading is a crime that is difficult to enforce the law. Fraud can be committed by sellers by counterfeiting their products or by driving transactions outside of e-commerce. Meanwhile, fraud committed by buyers is carried out by falsifying identities and fake orders. The efforts have been made to threaten the perpetrators with criminal noose but have not reduced the number of frauds that occur. This research was conducted using normative research that looked at fraudulent behavior and related it to the legal provisions in the ITE Law and in the Personal Data Protection Law. The research found that the need for authentication as a marker for sellers and buyers when interacting on the internet so that fraud can be minimized because the identity of the perpetrator can be identified easily with the authentication method. So that the perpetrator's track record can be easily detected and this prevents the perpetrator from committing fraud.
Cryptocurrencies as Digital Payment Media: Opportunities and Challenges
Authors: Denny Denny , Disemadi Hari Sutra
Published: January 2024

Cryptocurrency is a centralised network currency system that can connect users without intermediaries or third parties such as banks or governments. Countries globally have different attitudes in drafting regulations regarding cryptocurrencies; some accept, reject, or are neutral. The application of cryptocurrency as a payment medium has not yet been regulated in Indonesian legal jurisdiction. However, cryptocurrencies have various opportunities that can positively impact the country's economy. Indonesia must face various challenges in implementing cryptocurrency as payment. This study examines the opportunities and challenges of implementing cryptocurrency as a payment medium by using a responsive legal theory review. The study was carried out using doctrinal research methods. Indonesia's cryptocurrencies currently do not have a lex specialist (particular regulation). However, the application of cryptocurrency as a payment medium can increase e-commerce transactions, have a payment system with high confidentiality and security, and fast, precise, and low-cost transactions. The challenges that must be implemented are developing institutions and legal constitutions that regulate cryptocurrencies as a payment medium, developing blockchain systems and their application in cellular technology.
Unraveling Child Legal Problems in the Era of the Covid-19 Pandemic in a Holistic Paradigm Perspective
Authors: Sukoco Bambang , Indra Moh. Indra Bangsawan , Dewi Eko Wati  , Dewi Kusuma Diarti  , Sandya Mahendra  , Arnold Tri Hantoro
Published: January 2024

The legal approach (Law No. 35 of 2014 concerning Child Protection) in solving problems related to child protection during the Covid-19 pandemic has not shown optimal results so that an alternative approach is through a holistic approach that will elaborate on the relationship between law and other scientists.
Objective: This research aims to: 1). Describe a holistic paradigm from a legal perspective; 2). Describe the concept of a holistic paradigm as an effort to protect children from acts of family-based violence during the Covid-19 pandemic.
Methods: This research is normative legal research with a statutory approach and a holistic concept approach.
Findings: A holistic approach in law means reinstatement the law with its environment; by reuniting it with society’s realities, it will restore the integrity of the law itself. A holistic approach to child protection in the Covid-19 pandemic era can be learnt in several aspects, namely religious aspects, health aspects, psychological aspects, sociological aspects, economic aspects and legal aspects.
Function: This research explains the urgency of the holistic concept that regulates child protection, which means recombining the law with its environment.
Novelty: There has not been any research that studies the same topic as that discussed in this article
Analisis Faktor yang Mempengaruhi Green Purchasing pada Produk Makanan Olahan Hijau (Moderat & Ultra Proses)
Authors: Hazimah Farhah , Sofiatin Sofiatin , Rosmiati Mia
Published: January 2024

Seiring dengan disorotinya isu perubahan iklim yang banyak mendapat perhatian saat ini, kesadaran masyarakat tentang lingkungan juga semakin meningkat. Akan tetapi pada kenyataannya, meski kesadaran masyarakat meningkat dan produk hijau sudah mulai tersedia di pasaran, tingkat konsumsinya masih rendah jika dibandingkan dengan produk konvensional (green gap/attitude-behavior gap). Penelitian ini bertujuan untuk menutup kesenjangan tersebut dengan menganalisis faktor yang mempengaruhi green purchasing pada produk makanan olahan hijau di Bandung Raya melalui hambatan internal sebagai variabel mediator dan hambatan eksternal sebagai variabel moderator. Responden dalam penelitian terdiri dari 420 responden. Data dikumpulkan melalui kuesioner dan dianalisis menggunakan Structural Equation Modeling (SEM) dengan bantuan tools SmartPLS. Hasil penelitian menunjukkan bahwa faktor yang mempengaruhi pembelian secara langsung adalah green product knowledge, health consciousness, environmental knowledge, perceived consumer effectiveness, availability, convenience, price, dan quality, sedangkan environmental concern hanya mempengaruhi pembelian ketika dimediasi oleh environmental knowledge.

 

Kata kunci: attitude-behavior gap, green marketing, green purchasing, green processed food, Structural Equation Modeling
The Faktor-Faktor dan Perilaku Petani dalam Pengelolaan Usahatani Padi Organik di Kabupaten Lampung Tengah
Authors: Wulandari Made Novita , Nurmayasari Indah , Yanfika Helvi , Silviyanti Serly
Published: January 2024

Penelitian bertujuan untuk mengetahui faktor-faktor apa saja yang berhubungan dengan perilaku petani padi organik. Penelitian dilaksanakan Bulan Februari 2022 – Maret 2022 di Kabupaten Lampung Tengah pada empat kecamatan, yaitu Kecamatan Seputih Raman, Punggur, dan Trimurjo. Responden dalam penelitian ini adalah petani padi organik sebanyak 32 orang. Metode penelitian dilakukan secara deskriptif kuantitatif dan uji kolerasi rank spearman. Hasil penelitian ini menunjukkan petani padi organik memiliki tingkat pengetahuan, sikap, dan keterampilan yang baik dalam penerapan budidaya padi organik sehingga terdapat faktor-faktor yang berhubungan dengan perilaku petani padi organik dalam pengelolaan usahatani yang ramah lingkungan, yaitu pada karakteristik petani yang memiliki hubungan secara nyata hanya terdapat pada tingkat pendidikan, motivasi dan luas lahan, pada dukungan kelembagaan pertanian ramah lingkungan yang terdiri dari dukungan kelompok tani, penyuluh dan pemerintah yang memiliki hubungan yang nyata terhadap perilaku petani padi organik, sedangkan pada ketersediaan sumberdaya pendukung pupuk organik memiliki hubungan yang nyata dengan perilaku petani padi organik.

Kata kunci: faktor perilaku, padi organik, perilaku petani
Persepsi Penyuluh Pertanian terhadap Implementasi Undang-Undang Nomor 23 Tahun 2014 di Kabupaten Lampung Timur
Authors: Purnamawati Tati , Nikmatullah Dewangga , Gitosaputro Sumaryo , Gultom Dame Trully , Rangga Kordiyana K
Published: January 2024

Law Number 23 of 2014 resulted in the management of fisheries extension agents being withdrawn to the center and forestry extension workers managing it by the provinces together with the center. This has reduced the number of agricultural extension workers in East Lampung Regency, so that it is increasingly difficult to fulfill the target of implementing one village one extension agricultural extension worker. The next implication is that the range of extension services has expanded with a total of 264 villages and a total of 6,233 farmer groups served only by 112 agricultural extension workers. Another problem is the agricultural extension policy under the local government which results in the implementation and management of agricultural extension activities encountering many obstacles. This research was conducted in East Lampung Regency. Data collection was carried out in November-December 2022. Respondents were 88 agricultural extension workers on duty in East Lampung Regency. This study used a survey method with a quantitative descriptive approach. The results showed that the perceptions of agricultural extension workers regarding the implementation of Law Number 23 of 2014 in East Lampung Regency were not good.
An Implementation of blood Glucose and cholesterol monitoring device using non-invasive technique
Authors: Shubha B  , Anuradha M G  , Poornima N  , Suprada H S  , Prathiksha R V
Published: January 2024

Invasive testing of glucose and cholesterol levels in the blood is the most prevalent procedure, which is uncomfortable, expensive, and risky since it can spread infections and harm skin cells. Diabetes and cholesterol are two of the most common diseases in the world, and they require constant monitoring to avoid health issues and organ damage. As a result, a non-invasive approach will allow for more regular testing and painless monitoring. The blood glucose and cholesterol levels can be assessed using the principle of reflecting and refractive properties of NIR light source against blood components. The MAX30100 sensor circuit gives SPO2 (Saturated Peripheral Oxygen Level) and BPM (beats per minute, or heart rate) information to the regression model, which is used to forecast blood glucose and cholesterol levels. The polynomial regression model is trained using preset datasets, and the trained model yields regression co-efficient values. For the fresh sample inputs from the sensor, the co-efficient values are used to estimate the new needed parameter value. The projected blood glucose and cholesterol levels are displayed on the LCD Display and delivered through Bluetooth HC-05 module via Serial communication to the mobile application.
A Combination of Lexicon-based and Distributional Representations for Classification of Indonesian Vaccine Acceptance Rates
Authors: Suwida Katon , Kardawi Muhammad Yusuf , Purwitasari Diana , Mabahist Fahril
Published: January 2024

When the COVID-19 pandemic hit, the use of vaccines was advertised as the end of the pandemic by the entire world. However, the chances of vaccination depended on the sentiments of society and individuals about the vaccine. People's acceptance of vaccines can change depending on conditions and events. Social media platforms such as Twitter can be used as a source of information to find out the conditions and attitudes of the community toward the program. By implementing a machine learning technique on the COVID-19 vaccine dataset, we hope to impact the classification result with text. This study suggests three distinct machine learning models for classifying texts of the COVID-19 vaccination, namely a model based on the first lexicon using the feature extraction method; second, using the word insertion technique to utilize distribution representation; and third, a combination model of distribution representation and feature extraction based on the lexicon. From the evaluation that has been carried out, we found that a combination of lexicon-based and distributional representation methods succeeded in giving the best results for classifying the level of acceptance of the COVID-19 vaccine in Indonesia with an accuracy score of 71.44% and an F1-score of 71.43%.
Performance Analysis of MIMO-OFDM System Using Predistortion Neural Network with Convolutional Coding Addition to Reduce SDR-Based HPA Nonlinearity
Authors: Gulo Melki Mario , Astawa I Gede Puja , Sudarsono Amang
Published: January 2024

In recent years, the development of communication technology has advanced at an accelerated rate. Communication technologies such as 4G, 5G, Wi-Fi 5 (802.11ac), and Wi-Fi 6 (802.11ax) are extensively used today due to their excellent system quality and extremely high data transfer rates. Some of these technologies incorporate MIMO-OFDM into their protocol. MIMO-OFDM is widely used in modern communication systems due to its benefits, which include high data rates, spectral efficiency, and fading resistance. Despite these benefits, MIMO-OFDM has disadvantages, with the use of a nonlinear HPA being one of them. Nonlinear HPA causes in-band and out-of-band distortions in MIMO-OFDM signals. Utilizing predistortion (PD) is one way of solving this issue. PD is a technique that uses the inverse distortion of the HPA to compensate for the nonlinear characteristics of the HPA. To enhance the quality of MIMO-OFDM systems that the use of HPA has degraded, the convolutional coding (CC) method can be combined with the help of PD. Convolutional coding is a type of channel coding that can be used for error detection and correction. This study will evaluate a combined technique of PD neural networks (PDNN) and CC on the MIMO-OFDM system using Software Defined Radio (SDR) devices. The evaluation of this system led to the use of a technique that combines PDNN and CC to improve SNR and minimise BER on MIMO-OFDM systems that HPA on SDR devices has degraded. In addition, at code rates 1/2, 2/3, and 3/4, using PDNN reduces the SNR value required to achieve BER equal to 0 by 12.037%, 37.8%, and 4.10% when compared to Digital Predistortion (DPD).
IMPACT OF INCOME, LIFESTYLE, AND BUSINESS MOTIVATION ON SURABAYA STUDENTS' USE OF PAYLATER
Authors: Koten Rikardus Sina , Palaka Otto Kozmin , Purwanti Rachel Nadya , Anita Permatasari Anita Permatasari
Published: January 2024

This research in-depth examines the impact of three key factors, namely income, hedonistic lifestyle, and business motivation, on the use of Paylater services by students in Surabaya. The results of data analysis show that student income plays an important role in determining the extent to which they tend to use Paylater services; Hedonistic lifestyles also influence decisions to use these services, with students seeking experience and enjoyment in consumption more likely to utilize Paylater's features. Business motivation, such as interest in entrepreneurship and understanding investment, apparently plays a positive role in the use of Paylater. These findings provide deeper insight into trends in the use of these innovative financial services among students and have important implications for Paylater service providers, governments, and universities in supporting financial literacy and wise financial management among students.
THE INFLUENCE OF CAPITAL ADEQUACY (CAR), GROWTH OF THIRD PARTY FUNDS (DPK), NON-PERFORMING CREDIT (NPL) ON CREDIT DISTRIBUTION OF CONVENTIONAL COMMERCIAL BANKS ON THE INDONESIAN STOCK EXCHANGE 2017–2021
Authors: Puspitasari Andri Ani Ratna , Arif Muhamad Husnul , Marwati Yunita Ayu , Adelina Nina
Published: January 2024

Credit distribution carried out by banks is one of the state's income sectors, which in this case is used to maintain economic stability, improve the level of community welfare, help develop MSMEs through capital loans provided by banks, therefore indirectly credit distribution is carried out banking is an effort to increase the level of welfare of citizens, the level of demand for credit has increased from year to year. On the other hand, banks also consider CAR, DPK, NPL obtained from lending, there is a fear that banks will not be able to collect funds, excessive credit distribution will result in risks bad and non-performing loans widened which made banks lose their balance. The aim of this research is to determine empirically the influence of the capital adequacy ratio, growth of third party funds, non-performing loans on the distribution of bank credit registered in BEI for the 2017-2021 period. The population in this research is 46 banks. With this population, banking samples were taken using the method purposive sampling resulted in 26 banks that met the specified criteria. The type and source of data obtained from secondary data sources, the research method used is quantitative using multiple linear regression processed with the SPSS16 program. The results of multiple linear regression analysis and hypothesis testing can be concluded that simultaneously (F test) CAR, DPK Growth, NPL have an effect on banking credit distribution, while the results of partial analysis (T test) CAR, DPK Growth do not have a significant effect on credit distribution due to funds collected by the bank exceeds the reference provided by the IDX so that the bank has funds that are not distributed. It can be said that the amount of CAR, DPK has no influence on credit distribution, while for NPL it has a significant negative effect, which means that if credit distribution increases, the bank will experience The increase in NPL or bad credit, this problem requires banks to limit the distribution of credit funds in order to reduce the level of losses faced by banks.
Technology, Pedagogy and Content Knowledge Model for Increasing Civic Education Teacher’s Competencies in the Classroom
Authors: Luthfi Zaky Farid , Wijayanto Bayu , Novariza Rika , Muttaqiin Arief , Waldi Atri
Published: January 2024

The Covid-19 pandemic has required students to learn from home, leading teachers to adapt and develop online learning that integrates technological, pedagogical, and content knowledge (TPACK). This study aimed to investigate the knowledge and skills of social studies teachers at the middle and high school levels in transmitting TPACK. This study used a quantitative approach with a survey method, with a sample of 117 respondents from middle and high schools. The results showed no differences in skills between genders in using TPACK. Secondly, TPACK is the ability to integrate technology, pedagogy and content processing components, but the results show that teachers do not fully own these components.
Application of Problem-Based Learning to Improve Problem Solving Skills and Creative Thinking Skills of Class XI Students
Authors: Safitri Ariadna , Chotimah Husnul , Hudha Atok Miftachul , Rahardjanto Abdulkadir
Published: January 2024

The learning paradigm shift emphasizes the integration of 21st century skills into learning activities. SMAN 4 Malang as a driving school in Malang City has implemented Independent Curriculum in producing students who have the competence and character of the Pancasila Student Profile. The Pancasila Student Profile has relevance to the skills needed in the 21st century. Problem solving skills and creative thinking skills as dimensions of the Pancasila Student Profile are classified into the main abilities that students need to have to face the challenges of the 21st century. However, based on observations of problem-solving skills and creative thinking skills of students in class XI MIPA 3 are still low. Efforts can be made by implementing Problem-based Learning. This study aims to improve problem solving skills and creative thinking skills of XI grade students in Biology learning using Problem-Based Learning. This type of research is a Classroom Action Research which was conducted in two cycles. Each cycle includes planning, implementation, observation, and reflection stages. The research subjects were students of class XI MIPA 3 totaling 31 students. The research data in the form of qualitative data were reduced, grouped, and narrated. Quantitative data were analyzed descriptively inferentially using paired sample t test. The results showed a difference in the average problem-solving skills and creative thinking skills before and after PBL was applied, so this study proves that the application of PBL can improve students' problem-solving skills and creative thinking skills in Biology learning.
Implementation of PBL Model with Differentiated Learning to Improve Students' Motivation and Cognitive Learning Outcomes on Evolution Material
Authors: Samawati Zulfa , Rachmadiarti Fida , Susananingsih Dwi Emawati
Published: January 2024

Each child has their uniqueness and the necessity to choose the correct learning technique so that it can fit all students' demands through differentiated learning by partnering with problem-based learning models to boost students' learning motivation and learning outcomes. This research is Class Action Research, which tries to determine the improvement of learning implementation on students' learning motivation and learning outcomes. The subjects of this study were all students of class XI A2.5 SMA Negeri 1 Krian totaling 35 students. Data collection was carried out using observation, questionnaire, and test procedures, with instruments in the form of observation sheets of learning differentiation with problem-based learning (PBL) models, questionnaire sheets of learning motivation, and learning outcomes test sheets. The results showed that the average learning implementation score in cycle I was 76% with an excellent category, whereas in cycle II it was 93% with a very good category. Student learning motivation before participating in the learning process was in the low category with an average score of 52.93% and after participating in the learning process, the average score of student learning motivation climbed to 76.32 in cycle I with a moderate motivated category and further climbed by 88.55% in the motivated category in cycle II. Students' cognitive learning outcomes in cycle I earned a gain score of 0.54 with a medium category, and in cycle II obtained a gain score of 0.84 with a high category. Based on the results of the study, it can be inferred that there is an increase in motivation and cognitive learning outcomes of students through the implementation of the differentiated learning PBL model on material about evolution.
Effect Size Analysis of the Influence of Science Teaching Materials Based on Scientific Approach on Students’ Learning Outcomes
Authors: Dwita Fitri Anisa Dwita Fitri , Asrizal Asrizal , Festiyed Festiyed
Published: January 2024

This research analyzes the influence of teaching materials in science and physics learning based on a scientific approach on student learning outcomes determined through Effect Size. This research uses a descriptive study method. Research data was obtained from 20 journals regarding the influence of scientific approach-based science and physics teaching materials on student learning outcomes. The study is based on three categories, namely aspects of student learning outcomes, level of education and type of teaching materials. The research results show that in the aspects of student learning outcomes, namely knowledge, attitudes and skills, all three have a high measurement category with an effect size value of 1.05 each; 1.06 and 0.94. The influence of scientific approach-based teaching materials on high school students is better than on middle school students with mean effect sizes of 1.06 (high) and 0.70 (medium) respectively. The use of worksheets with a scientific approach has the greatest influence on student learning outcomes compared to other types of teaching materials with an effect size value of 1.15 (very high).