bluuebunny/crossref_metadata_2025 huggingface dataset:
Influence of weather conditions and nitrogen nutrition on grain extractivity indicators of spring barley varieties developed in the Moscow region
Authors:   Federal Research Center "Nemchinovka", Dedushev Ivan A. , Eroshenko Lyubov M. ,   Federal Research Center "Nemchinovka", Romakhin Maxim M. ,   Federal Research Center "Nemchinovka", Boldyrev Mikhail A. ,   Federal Research Center "Nemchinovka", Romakhina Viktoria V. ,   Federal Research Center "Nemchinovka"
Published: February 2025

Studies were conducted in 2020–2022 at the Federal Research Center "Nemchinovka" to identify the peculiarities of accumulation depending on hydrothermal conditions of the growing season of extractive substances in the grain of spring barley varieties of different intended use.
At the same time, the possibility to improve their nutritional or forage properties by increasing the
nitrogen nutrition background was found out. Three-factor field experiments were conducted by the
split plot method, the repetition was double, and the plot area was 12 m2
. It was established that the
decisive influence on the formation of the extractivity index had the factor "year" – 50,16 %, and the
reliability of the influence of interaction between the factors indicated the possibility of increasing it
through the rational use of nitrogen fertilizer and the use of adaptive varieties. In 2020, favorable in
terms of moisture, against the background of nitrogen nutrition, grain was formed with the same high
average extractivity value (80.6 %). Under dry conditions (2021–2022) there was a decrease in the
average values of the indicators to 77.8–79.6 % and a decrease in the level of extractive substances
in the grain after additional nitrogen fertilization. Comparison of the studied varieties by the content
of extractive and protein substances in grain, accumulated at moderate and increased level of nitrogen nutrition, gave us grounds to differentiate the studied varieties as brewing, groats and fodder. In
the varieties of target use in the variants of experience on the content of extractive substances in the
grain, marked differences were revealed. The homeostability indicator, which takes into account the
level and stability of the technological indicator in the brewing barley group has allocated the variety
Nadezhnyi (1 568,94), in the forage group – the variety Yaromir (1 692,22), in the groats group –
the varieties Raushan and Nur (1 779,80–1 833,72). The complex rating of the main economically
important quality traits confirmed the high commercial value of varieties Nadezhnyi, Yaromir and
Raushan for targeted use in intensive technologies.
New antioxidant peptide and mechanism of biological activity
Authors:   Russian State Agrarian University – Moscow Agricultural Academy named after K. A. Timiryazev, Tikhonov Sergey L. , Tikhonova Natalya V. ,   Ural State Agrarian University, Ozhgikhina Anna S. ,   Perm Institute (branch) Plekhanov Russian University of Economics, Pestova Inga G. ,   Perm Institute (branch) Plekhanov Russian University of Economics
Published: February 2025

Studies have been conducted to predict the antioxidant activity of a peptide isolated from pepsin hydrolysate of cow colostrum and its effectiveness has been confirmed in vitro.
The peptide was examined on a MALDI-TOPH mass spectrometer, decryption was carried out using the Mascot database, the Peptide Fingerprint option (Matrix Science, USA) using the Protein
NCBI database. The antioxidant activity of the peptide was determined by three methods: ABTS,
DPPH and FRAP. Analyzing the physico-chemical characteristics of the peptide (composition and
quantity of amino acids, hydrophobicity, charge, molecular weight) it is assumed that the isolated
peptide is similar to the peptide «Dual specificity protein phosphatase, Bos Taurus», which activates the builtin immunity and has antioxidant activity. The antioxidant activity of the peptide
was confirmed by ABTS, DPPH and FRAP methods; and the mechanism of its action based on
the suppression of active forms of acid by single electron transfer reactions was suggested. The
conducted studies using proteomics methods and a database for predicting the antioxidant activity
of a peptide can reduce the time for detecting new properties of bioactive peptides, in particular,
antioxidant ones.
To substantiation of the shape of the side surface of a pocket-type cell for a vertical disk precision sowing apparatus
Authors:   Primorsky State Agrarian and Technological University, Shishlov Sergey A. , Shishlov Aleksandr N. ,   Primorsky State Agrarian and Technological University, Fadeev Aleksandr A. ,   Primorsky State Agrarian and Technological University, Shishlov Dmitry S. ,   Primorsky State Agrarian and Technological University, Reshetnik Ekaterina I. ,   Far Eastern State Agrarian University
Published: February 2025

Soybean sowing is one of the main agrotechnical operations in the technology of
its cultivation, which determines the receipt of a high yield. The conditions for providing each
plant with an equally individual feeding area and illumination are formed at the initial stage of
sowing by a single selection of seeds by the cells of the sowing apparatus. In most existing de- signs of mechanical precision sowing apparatus, single selection and seeding of seeds is carried
out using a rotating disk with cylindrical radially made cells, which makes it difficult to load the
cells with seeds, and an ejector is required to unload the cells. As a result, the speed of rotation of
the disk decreases and, as a consequence, the productivity of the sowing unit, the seeds are injured
by the impact of the ejector and the stacker roller. In the proposed design of the sowing apparatus
containing a sowing disc with pocket-type cells located at an angle to the radius of the sowing
disc (patent of the Russian Federation No. 164890), a single selection of soybean seeds is made
by scooping them with cells, which allows filling the cells in a shorter period of time compared to
existing similar designs. Unloading of the cells is carried out from the impact of centrifugal force
on the seeds. Such a constructive design of the sowing apparatus will increase the productivity of
the sowing unit by increasing the peripheral speed of the disk, and the absence of a stacker roller
and an ejector will reduce seed injury. This constructive design of the sowing apparatus will in- crease the productivity of the sowing unit by increasing the peripheral speed of the disk, and the
absence of a stacker roller and ejector will reduce seed injury. The article presents some results of
theoretical studies to substantiate the shape of the lateral surface of the cell and its effect on the
process of loading and unloading a pocket-type cell in a vertical disk precision seeding machine.
Biochemical features of carrot varieties and hybrids in the conditions of Priamurye
Authors:   Far Eastern State Agrarian University, Pakusina Antonina P. , Timoshenko Elvira V. ,   Far Eastern State Agrarian University, Platonova Tatyana P. ,   Amur State University
Published: February 2025

The article presents the material on the study of biochemical parameters of carrots of domestic and foreign selection. Carrots were grown in the ground in the peasant farm
of A. P. Korneev (Kanikurgan, Blagoveshchensk district, Amur region). According to the sugar content, Primorskaya 22 and Shantane Korolevskaya varieties were in the lead. The total
acidity in terms of malic acid varied from 0.053 % (Baltimor F1 hybrid) to 0.199 % (Shantane
Korolevskaya variety). The content of ascorbic acid in carrot roots varied from 4.39 mg/100 g
(Typhoon variety) to 8.80 mg/100 g (Shantane Korolevskaya variety). The ash content of table
carrot root crops averaged 0.55±0.18 %, the dry matter content was 13.11±1.37 %. The highest
level of accumulation of carotenoids in root crops was noted for carrot varieties Typhoon and Surazhevskaya 1. Carrot varieties obtained by breeders of the Primorsky Vegetable Experimental Station (branch of the Federal Research Center for Vegetable Growing), are characterized by
signs that allow getting a stable harvest, have better biochemical indicators in comparison with
foreign hybrids. This determines their competitiveness; therefore, plant growers of the Amur
region successfully use carrot seeds of domestic originators.
Productivity of corn hybrids of domestic selection in the conditions of Primorsky krai
Authors:   Federal Scientific Center of Agrobiotechnology of the Far East named after A. K. Chaika, Bogdan Polina M. , Danilenko Irina N. ,   Federal Scientific Center of Agrobiotechnology of the Far East named after A. K. Chaika, Kraskovskaya Natalya A. ,   Federal Scientific Center of Agrobiotechnology of the Far East named after A. K. Chaika
Published: February 2025

Our research goal was to select corn hybrids of domestic selection suitable for
grain and herbage production in the conditions of Primorsky krai. The research was carried out
on the experimental plots of the laboratory of selection and primary seed production of corn of
the Federal Scientific Center of Agrobiotechnology of the Far East named after A. K. Chaika in
2020–2022. On average, over three years, hybrids of corn of domestic breeding were isolated:
Mashuk 220, Newton, Baikal, Mashuk 171, which form a grain yield of 7.0–8.0 t/ha in terms of
14 % moisture. Based on the calculation of the breeding index, hybrids were selected that combine
high yields with low harvesting moisture: Mashuk 220 – 0.32, Baikal – 0.30, Mashuk 171 – 0.29,
Newton – 0.27, K-165 – 0.32. Of practical interest are hybrids that have shown the highest yield
of green mass in the experiment (t/ha): Newton – 50.5, Baikal – 50.0, Mashuk 220 – 46.6, Mashuk
171 – 46.1, Mashuk 175 – 45.4, Mashuk 172 – 41.2. The high yield of dry matter per hectare was
provided by the following hybrids (t/ha): Baikal – 19.7, Newton – 19.6, Mashuk 185 MV – 17.5,
Mashuk 171 – 17.3. Hybrid Sibirskii 135 had the lowest yield of dry matter (8.4 t/ha). The correla- tion analysis has shown that the yield of green mass is in a medium negative relationship with the
dry matter content in plants (r = –0.62), and in a high relationship with the harvest moisture content
of grain (r = 0.87), the collection of dry matter (r = 0.94), grain yield (r = 0.83), plant height (r =
= 0.77) and cob attachment height (r = 0.67). The studies carried out made it possible to identify
domestic corn hybrids that are promising for growing for grain and green fodder in the conditions
of Primorsky krai.
The use of exhaust gases to reduce grain moisture during harvesting
Authors:   Far Eastern State Agrarian University, Kryuchkov Aleksandr A. , Lontseva Irina A. ,   Far Eastern State Agrarian University, Kislov Aleksey A. ,   Far Eastern State Agrarian University, Kurkov Yurii B. ,   Far Eastern State Agrarian University, Reshetnik Ekaterina I. ,   Far Eastern State Agrarian University
Published: February 2025

The article provides a brief analysis of the technology for harvesting grain crops. It
has been established that, due to natural and climatic reasons and the characteristics of the cultivated varieties, the moisture content of the grain in the bunker exceeds the standard level. This leads
to a decrease in the economic efficiency of the process harvesting. Such grain must be subjected
to additional processing as soon as possible, aimed at reducing moisture; otherwise the complex
biochemical processes occurring in it will lead to the loss of marketable, seed and sowing qualities.
The use of dryers of various types as part of grain cleaning and drying complexes is not always able to ensure a rapid reduction in grain moisture content; therefore, large losses are inevitable. In
this regard, a scheme for a grain harvester has been proposed, in which the heat removed from the
internal combustion engine is used to heat the grain moving through the grain elevator. A detailed
diagram of the movement of exhaust gases is given, taking into account permissible temperatures
and time of exposure to the grain flow. After heating, the grain loses some of its moisture, which
improves its quality. The specific heat capacity has been determined, which makes it possible
to determine the required amount of heat to reduce grain moisture by one percent. Indicators of
shrinkage and changes in grain mass after heating have also been established.
Development of ice cream enriched with biologically active peptide with antiviral properties
Authors:   Ural State University of Economics, Merzlyakova Nataliya V. , Tikhonov Sergey L. ,   Russian State Agrarian University – Moscow Agricultural Academy named after K. A. Timiryazev, Tikhonova Natalya V. ,   Ural State Agrarian University
Published: February 2025

A short peptide with a molecular weight of 0.9 kDa was isolated from the pepsin
hydrolysate of cow colostrum, consisting of 8 amino acids with the following sequence: leucine, arginine, glutamic acid, glycine, isoleucine, lysine, asparagine, lysine. According to the Protein
NCBI database, the resulting peptide is unknown and its biological effect has not been investi- gated. It is assumed that the peptide has antiviral properties. A synthesized peptide analog of the
natural one was used for the studies. As a result of the studies, it was found that the synthesized
peptide has pronounced antiviral properties at a dose of 390 mcg/ml of medium. The number of
transmitted lentiviral particles into the cell genome and the penetration of the virus through the cell
membrane in the presence of the peptide decreased by 53.6 and 58.4 %. The ice cream "Vanilla
ice cream 15 %" enriched with a peptide with antiviral properties was developed. The resulting ice
cream met the requirements of GOST 31457–2012 "Milk ice cream, cream".
Determination of Oxygen-Isotope Acid Fractionation Factor on Multiple Carbonate Mixtures Using GasBench II Multipurpose Gas Preparation Device Coupled to Isotope Ratio Mass Spectrometry
Authors: Cui Linlin , Wang Xu , Feng Lianjun , Zhang Xiaomei
Published: February 2025

RATIONALE: The conventional method for measuring carbon and
oxygen isotopes in carbonates involves the reaction of carbonate
minerals with phosphoric acid (PPA) to generate CO 2,
followed by purification and isotopic analysis. During this reaction, a
temperature-dependent oxygen isotope acid fractionation factor (AFF) is
introduced, as not all oxygen is released in CO 2. While
the temperature dependence of AFF has been extensively studied in pure
carbonate minerals, little research has been conducted on AFF variations
in mixed carbonate minerals with diverse chemical and mineralogical
compositions. This study aims to investigate the range of AFF variations
in carbonates containing multiple mineral phases. METHODS:
Oxygen isotope compositions of CO 2 produced from CaCO
3-MgCO 3 mixed minerals reacting with
PPA at 25℃, 50℃, 70℃, 90℃ were analyzed using a GasBench II system
coupled with a Thermo Finnigan Delta V Plus isotope ratio mass
spectrometer. RESULTS: The AFF values for CaCO
3-MgCO 3 mixed minerals fall between
those of pure calcite and dolomite, generally aligning with theoretical
predictions. Additionally, the fractionation gradient (dδ
18O/dT -1) increases with rising
Mg/Ca ratio and dolomite content, indicating a systematic trend in
fractionation behavior. CONCLUSIONS: These findings provide a
framework for AFF correction based on Mg/Ca ratio or dolomite content,
enhancing the reliability and precision of oxygen isotope measurements
in natural impure carbonates.
STRUGGLES AROUND TRANSGENDERISM IN HUNGARIAN FEMINISM: AN AUTOETHNOGRAPHIC ACCOUNT
Authors: Fero Dalma
Published: February 2025

In this autoethnography, I am using my personal experiences as data to examine the inextricable personal, political, social, and cultural aspects of one of the most decisive ruptures in Hungarian “progressive” activism of the second half of the 2010s. In the mid-2010s, I was part of an informal collective of women that started to outline a feminist approach critical of mainstream individualistic renditions of women’s rights as social progress, thereby diverging fundamentally from the country’s institutionalised feminism. As I and the circle of women I worked with focused on women’s reproductive autonomy, we encountered central feminist questions about sex and “gender” and soon faced serious backlash from political networks that felt their agenda threatened by our approach. Even though we did not intend to deal with the question of transgenderism, this question became the issue along which the feminist scene came to be divided. Through my experiences, I examine the role of institutions, the combative style of mainstream gender activists, and the co-optation strategies that eventually absorbed and defused the critique of “gender identity.” From this wider perspective, I look at how I made sense of the events, the scene, and its actors, as well as my own possible “place” in the processes.
Genetic Variability Studies in Field Pea (Pisum sativum L.) for Yield and Associated Characters Evaluated at Asasa South-East Highlands of Ethiopia
Authors: Abo Temesgen , Mohamed Wassu
Published: February 2025

The current study was conducted during June to October, 2019 cropping season at Asasa, Ethiopia to evaluate forty-nine field pea genotypes were evaluated in simple lattice design to assess genetic variability for morpho-agronomic traits. The analysis of variance showed significant differences among genotypes for most of the traits. The genotypes variations for grain yield in the range between 383.0 to 5605 kg ha-1. A total of 10 genotypes had higher grain yield than high yielding check variety, Burkitu (4521 kg ha-1) of which EH 010011-3, EH 08003-2 and EH 08016-2 had 24, 14.80 and 14.11% yield advantages, respectively, over higher yielding check variety. The mean performance of genotype EH010011-3 was highest at Asasa with mean grain yield 5605 kg ha-1.  The genotypic coefficient of variation ranged from 1.0% for days to maturity to 20.01% for grain yield, whereas the phenotypic coefficient of variation ranged from 1.37% for days to maturity to 27.41% for grain yield ha-1. The estimated broad sense heritability ranged from 51.21% for thousand seed weight to 53.93% for days to maturity. Genetic advance as percent of mean ranged from 1.52% for days to maturity to 33.88% for grain yield. The study showed the existence of reasonable genetic variability among the field pea genotypes that could be exploited in breeding programs.
Integrated Management of Spot Blotch Disease of Wheat (Triticum aestivum L.) Caused by Bipolaris sorokiniana (Sacc.) Shoem
Authors: Kumar Deepak , Singh Ramji , Prasad Durga , Tomar Ajay
Published: February 2025

Spot blotch caused by Bipolaris sorokiniana has a worldwide distribution, however, it is most hostile when temperatures and relative humidity are high and soil fertility is poor. The disease causes a substantial loss in yield, particularly in India’s North Eastern Plains Zone. Field investigations were carried out from December to April for two consecutive crop seasons, 2021–2022 and 2022–2023 for the evaluation of fungitoxicants, botanicals, bio-agents, and micronutrients against spot blotch of wheat (Triticum aestivum L.) under the field conditions. The wheat genotypes were inoculated with an aqueous solution of the pathogen Bipolaris sorokiniana, which contained approximately 105 conidia ml-1. Two inoculations were made: one at the booting phase and another fifteen days later. Seven micronutrients-calcium chloride, zinc sulphate+lime, ferrous sulphate+lime, boron, sulfur, molybdenum, and manganese sulphate+lime-four botanicals-leaf extracts of tulsi, neem, mentha, and garlic clove extract-four bioagents-Trichoderma harzianum SV-7, T. harzianum SV-28, T. harzianum IRRI-1, Pseudomonas fluorescens-and six fungitoxicants-azoxystrobin, difenoconazole, propiconazole, tebuconazole, azoxystrobin+tebuconazole, and carbendazim+mancozeb-were assessed against spot blotch of wheat in artificially inoculated field conditions. Furthermore, 32 wheat genotypes were evaluated for resistance to spot blotch in addition to the above experiments. During two consecutive crop seasons, the study found that fungitoxicants (propiconazole and tebuconazole), botanicals (garlic clove extract), micronutrients (zinc sulphate and boron), and bioagents (Trichoderma harzianum-IRRI-1) were effective in decreasing the disease index and increasing grain yield.
Diversity and Conservation Status of Gelodok Fish (Perciformes: Gobiidae) in East Pohuwato Coastal Area, Gorontalo Province, Indonesia
Authors: Cono Titi Hawanda Metania , Hasim Hasim , Hamidun Marini Susanti , Baderan Dewi Wahyuni. K , Dunggio Iswan
Published: February 2025

This study aims to determine the diversity and conservation status of Gelodok fish in the Pohuwato Coastal Mangrove Area. Data collection techniques were carried out by surveying the location to see the conditions and determine the sampling site. Sampling was done by cruising method using 3x3 meter size net. The fish found then analyzed the level of diversity and conservation status. The results showed that the spadefish found in the mangrove area of East Pohuwato Village consisted of two species of spadefish, namely Periophthalmus malaccensis and Periophthalmus argentilineatus with a diversity value of 0.17016 classified as low diversity. The conservation status of Periophthalmus malaccensis is included in the Data Deficient (DD) category and Periophthalmus argentilineatus is included in the Least Concern (LC) category based on the IUCN Red List of Threatened Species (IUCN)
Diversity of Waterbirds in the Wetland of Pangpang Bay Essential Ecosystem Area, Banyuwangi, Indonesia
Authors: Fahrani Elyn , Susintowati Susintowati , Nugrahani Magdalena Putri , Sungkono Sungkono , Prasetyo Yusuf Eko
Published: February 2025

The Essential Ecosystem Area (KEE) of Teluk Pangpang, Banyuwangi is a wetland that is passed by the East Asia Australia Flyway (EAAF) bird migration route. This study aims to study the diversity, and abundance of waterfowl species, and the relationship between the existence of waterfowl species and environmental factors in each type of wetland habitat. This study was conducted in October 2023-January 2024 using the "Concentration Count" method on each type of wetland habitat, observations were made for 2-3 hours concerning the tidal schedule of seawater. Based on observations, 34 species of waterbirds were found in all wetland habitats with a total number of 7468 individuals. The mud stretch of Muncar Beach has the highest species diversity with a total of 32 species of waterbirds, while the Kili-Kili mangrove habitat has the lowest level of species diversity with a total of 5 species of waterbirds. There have been 22 species of migratory waterbirds, 8 species of resident waterbirds, and 4 species of migratory resident waterbirds. Based on IUCN status, 5 species were found to be near threatened (NT), and 3 species were endangered (EN). The abundance of the highest waterbird species, namely Bulbulus ibis, Â is 3742 individuals that dominate the mangrove habitat. The value of the index of waterfowl species diversity in each type of wetland habitat is included in the medium category (H'=1,895 â€“ 2,594.), except for the low category of mangrove habitat (H'=0.719). The results of the PCA show that the existence of waterfowl is influenced by habitat conditions and environmental parameters (temperature, air humidity, light intensity, salinity).
Sharia Entrepreneurship Model as a Concept for Culture Formation and Entrepreneurship Empowerment in Islamic Boarding Schools
Authors: Warda  , Arifwangsa Adiningrat Andi , Prima Muhammad Rizky , Haliding Safri , Alamsjah  , Jusriadi Edi , Agustan  , Akhmad
Published: February 2025

Unemployment is a social problem currently being faced by the Indonesian nation, so it requires serious attention to handle it. One way that can be done to overcome the number of unemployed is to increase the number of entrepreneurs. It is believed that educational institutions can play an important role in increasing the number of unemployed people and reducing the unemployment rate. Islamic boarding schools are Islamic educational institutions spread across all provinces of Indonesia, with a total of 28,984 Islamic boarding schools and 4,290,626 students. Religious teaching alone causes alumni from Islamic boarding schools to be unable to compete in society and are unemployed. The Sharia entrepreneurship model as a concept for cultural formation and entrepreneurial empowerment in Islamic boarding schools is believed to be able to increase students’ interest, culture, and independence in entrepreneurship. Data collection used the Focus Group Discussion (FGD) method. Analyzed qualitatively and described in descriptive form with stages of data analysis, namely data reduction, data display, and conclusion drawing/verification. The selection of informants in this study used purposive sampling. The informants in this research consisted of school principals, teachers, students, and involved lecturers. The results of this research reveal that the Sharia entrepreneurship model as an empowerment concept can increase entrepreneurial culture, interest, and independence. The model must include three criteria, namely character, Concepts, and skills. Meanwhile, the concept of empowerment can be carried out by identifying business potential and capital capacity and improving management in Islamic boarding schools.
Estimating Gravitational Redshift in Galaxy Clusters and Voids Using Hernquist and Tophat Density Profiles
Authors: Wekesa Sheillah Nekesa , Wamalwa Dismas Simiyu
Published: February 2025

Cosmic voids happen to occupy most under dense regions of the universe. They can, therefore, be used to test our theories of structure formation and cosmology. By assuming a density profile and using it to obtain the gravitational potential, the gravitational redshift is computed. The effect is compared in two profiles of clusters and voids. From the computations, the gravitational redshift in clusters is higher than that in voids, implying that if the effect is to be considered in voids, a larger survey is required. The radii used are 20 Mpc and 1 Mpc for voids and clusters respectively.
The Rutherford-Harkins-Landau-Chadwick Key–II. Fusion Interpreted by Nuclear Chemistry
Authors: Stavek Jiri
Published: February 2025

Over the past century, numerous models of atomic nuclei have been proposed, each with its strengths and weaknesses. However, no nucleus model based on undefined structures of protons (usually depicted as red balls) and neutrons (usually depicted as blue balls) has succeeded in offering a straightforward predictive tool to unravel the mysteries of fusion and the fission process. A century’s worth of experimental data in nuclear physics should be newly organized. Could there be a lost key to unlocking a deeper understanding of phenomena at femtometer scales? We propose to come back before the bifurcation point in nuclear physics that was defined by Pauli and Fermi with their neutron and neutrino hypothesis in the year 1934. We want to return to the classical nuclei models proposed by early pioneers-Rutherford, Harkins, Landau, and Chadwick-before that decisive year 1934. We propose to develop their models further based on the compound neutron (the composition of proton and electron). Our approach introduces a new view into the nucleus structure and their fusion and fission reactions. The potential of this model will be documented in three interconnected papers.
Penentuan Kelayakan Penerimaan Bantuan Program Indonesia Pintar (PIP) menggunakan Algoritma C4.5
Authors: Silitonga Agnes Irene , Sihotang Fihi Khoirani , Silaban Vetric Styven , Fahros Teguh Fachri , Haryadi Haryadi
Published: February 2025

Program Indonesia Pintar (PIP) adalah inisiatif bantuan sosial yang diperkenalkan oleh pemerintah Indonesia untuk membantu siswa dari keluarga yang tidak mampu agar dapat melanjutkan pendidikan mereka tanpa kesulitan keuangan. Untuk memperoleh PIP, calon penerima bantuan harus termasuk dalam kategori layak sebagai penerima bantuan. Penelitian ini bertujuan untuk menentukan kelayakan penerima bantuan PIP di SDN 064999 Medan menggunakan algoritma C4.5 yang mana digunakan dalam membentuk pohon keputusan. Dalam penelitian ini, data yang digunakan adalah data siswa SDN 064999 Medan yang telah menerima bantuan PIP pada tahun 2023. Hasil penelitian menunjukkan bahwa algoritma C4.5 membentuk pohon keputusan yang baik untuk memprediksi kelayakan penerima bantuan PIP. Pohon keputusan tersebut menunjukkan bahwa atribut yang paling penting untuk memprediksi kelayakan penerima bantuan PIP adalah atribut pendapatan orangtua, status pekerjaan orangtua, dan jumlah tanggungan orangtua. Dari penelitian ini juga diperoleh 10 rules / aturan dalam penentuan kelayakan penerima bantuan PIP dengan algoritma C4.5. Hasil penelitian ini dapat digunakan untuk membantu dalam proses seleksi penerima bantuan PIP dan untuk memastikan bahwa bantuan tersebut tepat sasaran.
Analisis Sentimen Pada Komentar Media Sosial Terkait Isu Joki Dengan Menggunakan Metode LSTM
Authors: Prasetyo Dimas Surya , Auliasari Karina , Pranoto Yosep Agus
Published: February 2025

Di kalangan akademisi dan masyarakat, fenomena praktik perjokian dalam penyusunan skripsi telah menimbulkan kekhawatiran karena mengancam reputasi akademik. Media sosial menjadi sarana utama bagi masyarakat untuk mengekspresikan pendapat mereka tentang masalah ini, baik melalui kecaman maupun menjadikan kebiasaan baru. Namun, volume data yang besar, gaya bahasa yang beragam, dan penggunaan bahasa informal adalah masalah untuk menganalisis data media sosial. Untuk mencapai tujuan ini, penelitian ini menggunakan metode Long Short-Term Memory (LSTM) untuk menganalisis sentimen masyarakat. Metode ini dipilih karena kemampuan LSTM untuk memahami konteks kata dalam kalimat kompleks, yang membuatnya cocok untuk komentar panjang di media sosial. Hasil penelitian menunjukkan pengujian kinerja model untuk mengidentifikasi sentimen positif dan negatif, diperoleh akurasi sebesar 71%, recall sebesar 67%, dan precision sebesar 77%. Hal ini menunjukkan bahwa model mampu mengenali pola sentimen dengan cukup baik dari data yang ada.
Penerapan Algoritma K-Means Untuk Clustering Framework dan Library PHP Berdasarkan Analisis Code Structure
Authors: Syalabi Muhammad Ridho Putra , Setiawan Ahmad Fahrudi , Susanto Eko Heri
Published: February 2025

Framework dan library PHP memiliki variasi struktur kode yang signifikan, sehingga pengembang menghadapi tantangan dalam memilih tools yang sesuai untuk kebutuhan proyek. Penelitian ini bertujuan untuk mengelompokkan framework dan library PHP berdasarkan analisis struktur kode menggunakan algoritma K-Means dengan sistem berbasis website. Analisis dilakukan dengan mempertimbangkan 13 atribut, seperti LOC, NCLOC, CLOC, rata-rata panjang kelas, panjang metode, dan distribusi fungsi, untuk menemukan pola distribusi dalam kelompok yang signifikan. Meskipun Elbow Method menunjukkan k=4 (91.799) sebagai cluster optimal berdasarkan penurunan WCSS yang signifikan, analisis lanjutan dengan Silhouette Score dan evaluasi visual menunjukkan bahwa pembagian data menjadi 3 cluster memberikan pemisahan yang lebih jelas dan mudah diinterpretasikan. Cluster 1 mewakili framework dengan struktur kode kecil dan sederhana, sementara Cluster 2 dan Cluster 3 mencerminkan framework dengan struktur yang lebih kompleks dan ukuran kode yang lebih besar. Oleh karena itu, jumlah cluster 3 dipilih sebagai hasil yang optimal, karena memberikan keseimbangan antara kompleksitas model dan interpretasi yang jelas. Hasil clustering menggunakan sistem berbasis website menunjukkan presisi lebih tinggi, dengan perhitungan jarak yang mencapai hingga 15 angka di belakang koma, dibandingkan perhitungan manual yang hanya mencapai 5-6 angka, yang mengindikasikan peningkatan akurasi. Penelitian ini memberikan kontribusi pada pengelompokan framework PHP yang lebih efisien dan membantu pengembang memilih tools yang sesuai.
Pemilihan Anggota Bidang Organisasi Menggunakan Metode Weighted Product dan Pembobotan Rank Order Centroid
Authors: Lubis Ahmadi Irmansyah
Published: February 2025

Pemilihan anggota majelis pendidikan dasar dan menengah di Pimpinan Cabang Muhammadiyah (PCM) Batam Kota membutuhkan penilaian objektif atas kriteria seperti pengalaman, kompetensi, komitmen, dan kepemimpinan. Proses ini sering rentan terhadap subjektivitas dan bias tanpa sistem pendukung. Penelitian ini bertujuan merancang Sistem Pendukung Keputusan (SPK) untuk membantu PCM Kecamatan Batam Kota dalam memilih anggota majelis pendidikan dasar dan menengah secara efektif dan akurat. Metode Weighted Product digunakan untuk menghitung skor akhir setiap calon berdasarkan nilai kriteria dan bobotnya. Metode Rank Order Centroid (ROC) diterapkan untuk menentukan bobot kriteria secara kualitatif berdasarkan urutan prioritas. Sistem ini memungkinkan pengguna membandingkan kandidat secara komprehensif dengan mempertimbangkan semua kriteria. Hasil penelitian menunjukkan metode Weighted Product dan ROC efektif membantu PCM Kecamatan Batam Kota dalam memilih kandidat terbaik untuk menjadi anggota majelis Pendidikan dasar dan menengah. Kandidat terpilih yaitu A4 (Ketua) dengan nilai vektor 0.16706, A1 (Anggota) dengan nilai vektor 0.16163, dan A6 (Anggota) dengan nilai vektor 0.15951. Sistem ini mampu dalam meningkatkan obyektifitas, efisiensi, dan akuntabilitas proses seleksi, sekaligus mengurangi bias subjektif. Hasil penelitian ini diharapkan bermanfaat tidak hanya bagi PCM Batam Kota tetapi juga sebagai referensi bagi organisasi lain dengan kebutuhan seleksi berbasis kriteria multi-dimensi.
Evaluasi Usability Aplikasi MyTelkomsel Menggunakan Metode System Usability Scale (SUS)
Authors: Ananda I Putu Prima , Anggreni Ni Putu Ria , Gunawan I Made Agus Oka , Indrawan Gede
Published: February 2025

Aplikasi mobile yang user-friendly menjadi elemen kunci dalam menjaga kepuasan pengguna di era digital. MyTelkomsel, salah satu aplikasi seluler terkemuka di Indonesia, menghadapi tantangan dalam memastikan kegunaannya seiring dengan pengembangan fitur yang kompleks. Penelitian ini bertujuan untuk mengevaluasi kegunaan aplikasi MyTelkomsel menggunakan metode System Usability Scale (SUS), yang merupakan pendekatan kuantitatif untuk menilai efisiensi, efektivitas, dan kepuasan pengguna. Sebanyak 56 responden, terdiri dari pengguna baru dan lama, berpartisipasi dalam penelitian ini. Hasilnya menunjukkan skor rata-rata SUS sebesar 72, yang mengindikasikan tingkat kegunaan yang baik, meskipun terdapat area spesifik yang memerlukan perbaikan, seperti konsistensi fungsional dan kemudahan penggunaan. Pengguna baru menunjukkan kepuasan yang lebih tinggi dengan skor rata-rata 75 dibandingkan pengguna lama dengan skor rata-rata 70. Penelitian ini memberikan wawasan untuk pengembangan lebih lanjut dalam meningkatkan pengalaman pengguna melalui perbaikan desain aplikasi.
Analisa Faktor Pengaruh Terhadap Kepuasan Penggunaan Aplikasi Kasir Moka di Kota Batam
Authors: Besley Brien , Firmansyah Muhamad Dody
Published: February 2025

Penelitian ini bertujuan untuk menganalisis pengaruh faktor kemudahan penggunaan, kecepatan, keamanan, kejelasan, dan fungsionalitas terhadap kepuasan pengguna pada aplikasi Moka di Kota Batam. Permasalahan utama yang diangkat adalah tantangan dalam meningkatkan kepuasan pelanggan terhadap lima faktor tersebut, yang sering kali menjadi kendala dalam mempertahankan loyalitas pengguna. Penelitian ini menggunakan metode Mixed Method untuk mengintegrasikan hasil dari pendekatan kuantitatif dan kualitatif guna mendapatkan pemahaman yang lebih mendalam terkait fenomena yang diteliti. Teknik pengambilan sampel dilakukan melalui stratified sampling dan cluster random sampling, dengan melibatkan 82 responden untuk kuesioner dan 15 narasumber untuk wawancara. Responden dipilih berdasarkan kategori pengguna aktif aplikasi Moka di berbagai sektor usaha kecil dan menengah di Kota Batam. Pengujian hipotesis dilakukan dengan analisis regresi linear berganda untuk mengetahui hubungan antara variabel independen dan kepuasan pengguna secara signifikan. Secara kuantitatif, hasil penelitian menunjukkan bahwa model memiliki kemampuan prediksi yang baik meskipun tidak ada variabel individu yang signifikan, dengan indikasi multikolinearitas yang perlu diperhatikan. Secara kualitatif, wawancara memberikan wawasan mendalam yang melengkapi analisis kuantitatif, membantu memahami hubungan antar variabel secara lebih holistik.
Analisis Dampak Penggunaan Aplikasi Antar Makanan Online Terhadap Peningkatan Penjualan UMKM Kuliner di Kota Batam
Authors: Davian Philander Alvando , Deu Indasari
Published: February 2025

Penelitian ini bertujuan untuk menganalisis pengaruh penggunaan aplikasi antar makanan online terhadap peningkatan penjualan dan keberhasilan UMKM kuliner di Kota Batam. Latar belakang penelitian ini adalah meningkatnya penggunaan layanan digital oleh UMKM sebagai upaya untuk mendukung aktivitas bisnis dan daya saing di era digital. Berdasarkan analisis regresi linear, ditemukan bahwa penggunaan aplikasi memiliki pengaruh positif dan signifikan terhadap peningkatan penjualan (B = 0.701, Sig. < 0.001) dengan tingkat hubungan yang kuat (R = 0.787). Sebanyak 62% variasi peningkatan penjualan dijelaskan oleh model, menunjukkan efektivitas aplikasi dalam mendukung penjualan UMKM. Faktor-faktor yang berpengaruh signifikan terhadap keberhasilan UMKM meliputi frekuensi penggunaan aplikasi (B = 1.860, Sig. < 0.001) dan perbedaan pendapatan (B = 2.716, Sig. < 0.001). Meskipun pengetahuan aplikasi memiliki pengaruh signifikan negatif (B = -1.500, Sig. < 0.001), hal ini diimbangi oleh desain aplikasi yang mudah digunakan. Model penelitian menunjukkan hubungan yang sangat kuat (R = 0.930, R² = 86.6%), dengan data yang reliabel (Cronbach's Alpha = 0.881) dan asumsi statistik yang terpenuhi. Hasil penelitian menegaskan bahwa aplikasi antar makanan online memainkan peran penting dalam mendukung peningkatan penjualan dan keberhasilan UMKM, meskipun terdapat ruang untuk pengembangan lebih lanjut, khususnya dalam mendukung pencapaian target volume penjualan.
Rancang Bangun Sistem Informasi Pembayaran Berbasis Web di TU SMP VIP Ma’arif Nu 1 Kemiri
Authors: Nikmah Ngarofatun , Muflih Ghufron Zaida
Published: February 2025

Pendidikan memiliki peranan penting dalam menentukan mutu sumber daya manusia suatu negara. Selain proses pembelajaran, organisasi pendidikan juga menjalankan aktivitas pendukung, seperti administrasi sekolah. Pengelolaan administrasi keuangan mencakup pencatatan rutin pembayaran Sumbangan Pembinaan Pendidikan (SPP) siswa setiap bulan. Hasil observasi dan wawancara di SMP VIP Ma’arif NU 1 Kemiri menemukan bahwa pembayaran administrasi siswa seperti SPP masih menggunakan proses manual. Proses pembayaran administrasi sering memakan waktu lama akibat pencatatan manual di buku pembayaran dan buku besar, yang rentan terhadap kesalahan data. Sistem informasi pembayaran siswa di rancang menggunakan model SDLC dengan metode pendekatan Agile Software Development. Bahasa pemrograman yang digunakan yaitu PHP dan MySQL sebagai database. Penelitian ini menghasilkan suatu sistem informasi pembayaran siswa yang dibangun berbasis website menggunakan framework bootstrap. Tujuan adanya sistem ini, penyusunan dan pelaporan data keuangan menjadi akurat, tepat waktu dan dapat dipertanggungjawabkan.
Implementasi Aplikasi Pengaduan Sampah Ilegal Berbasis Android
Authors: Hamisena Nayoa Tiensha , Romli Moh. Ali
Published: February 2025

Sumbangan pemikiran, saran, gagasan, atau keluhan merupakan bentuk pengaduan masyarakat kepada pemerintah. Dengan adanya aplikasi pengaduan, masyarakat dapat lebih aktif berpartisipasi dalam pembangunan desa melalui penyampaian aspirasi dan masukan mereka. Penelitian ini bertujuan untuk meningkatkan kepercayaan masyarakat terhadap aplikasi layanan pengaduan dengan menunjukkan tingkat layanan yang baik dan responsif terhadap keluhan yang diajukan. Data yang terkumpul diolah dan divisualisasikan dalam bentuk peta interaktif untuk memudahkan pihak berwenang dalam menindaklanjuti pengaduan. Pengembangan perangkat lunak dilakukan menggunakan metode Extreme Programming (XP) untuk menghasilkan perangkat lunak yang berkualitas tinggi. Integrasi Location-Based Services (LBS) diterapkan untuk mendukung penanganan pengaduan secara lebih efektif, khususnya dalam penanggulangan sampah ilegal. Hasil pengujian menunjukkan bahwa aplikasi ini dapat digunakan secara online melalui perangkat komunikasi seperti handphone, memberikan kemudahan kepada masyarakat tanpa perlu mendatangi pihak berwenang secara langsung. Aplikasi ini terbukti meningkatkan kecepatan respon terhadap pengaduan dan meningkatkan kepuasan masyarakat terhadap layanan pengaduan yang ada.
Webware: Sistem Inventarisasi Gudang dengan Metode Grounded Theory untuk Kerja Optimal Pada PT. Wook Global Technology Medan
Authors: Sofianda Wahyu , Triase Triase
Published: February 2025

PT Wook Global Technology mengalami ketidakseimbangan inventarisasi di gudang yang disebabkan oleh kesalahan pencatatan manual, human error, serta ketidaksesuaian antara data dengan jumlah fisik barang. Ketidakseimbangan ini berdampak negatif pada ketersediaan produk, biaya tambahan, serta kepuasan pelanggan. Penelitian ini menerapkan metode Grounded Theory untuk menganalisis kebutuhan sistem dan mengidentifikasi masalah utama dalam pengelolaan inventaris. Sistem inventarisasi gudang berbasis web kemudian dikembangkan menggunakan metode Rapid Application Development (RAD), yang memungkinkan perencanaan kebutuhan, desain sistem, pengembangan, dan implementasi secara cepat dan efisien berdasarkan umpan balik pengguna. Hasil penelitian menunjukkan bahwa penerapan Grounded Theory berhasil mengidentifikasi masalah utama, seperti kesalahan pencatatan manual, ketidaksesuaian data stok, dan kurangnya pemantauan real-time. Pengembangan sistem dengan metode RAD menghasilkan fitur-fitur seperti manajemen stok, pemantauan real-time, dan laporan inventaris yang komprehensif. Pengujian sistem menggunakan metode Black Box menunjukkan bahwa semua fungsi sistem berjalan sesuai harapan, termasuk pengelolaan data barang masuk dan keluar, permintaan barang, purchase order (PO), dan laporan inventaris. Sistem ini berhasil meningkatkan efisiensi pengelolaan inventaris, meminimalkan kesalahan pencatatan, dan mendukung pengambilan keputusan berbasis data.
Analisis UMKM Bidang Kerajinan dan Fashion di Kota Yogyakarta Menggunakan Metode K-Medoids
Authors: Zahrotun Lisna , Putra Andikha Arif Eka , Linarti Utaminingsih , Normawati Dwi , Arfiani Ika
Published: February 2025

Dinas Koperasi dan Usaha Kecil Menengah merupakan badan milik pemerintah yang berperan menangani Usaha Mikro, Kecil, dan Menengah (UMKM). Jumlah UMKM yang terus meningkat namun perkembangannya tidak seimbang menjadikan satu masalah tersendiri, dan diperlukan pengelompokan UMKM sebagai rekomendasi kepada Dinas Koperasi dan Usaha Kecil Menengah untuk memberikan bantuan dan program yang sesuai terhadap masing-masing UMKM. Tahapan penelitian dimulai dengan pemuatan dataset sejumlah 145 data kerajinan dan 196 data fashion, kemudian dilakukan pembersihan data atau cleaning, data selection, transformasi data, dan yang terakhir masuk ke algoritma k-medoids untuk menghasilkan cluster. Selanjutnya, silhouette coefficient digunakan untuk menguji kualitas cluster pada penelitian ini menghasilkan dua klaster pada masing-masing bidang dengan skor 0.614 (kerajinan) dan 0.502 (fashion), yang menunjukkan struktur pola sedang. Rekomendasi difokuskan pada peningkatan layanan untuk UMKM beromzet kurang dari 10 juta per tahun, tanpa modal bantuan, dan tanpa pinjaman.
Perbandingan Analisis Sentimen Presiden 2024 Menggunakan Algoritma Support Vector Machine dan K-Nearest Neighbor
Authors: Hanafi Muhammad , Furqan Mhd.
Published: February 2025

Di era digital, media sosial menjadi wadah utama bagi masyarakat untuk menyampaikan opini mereka terhadap berbagai isu, termasuk Pemilihan Presiden 2024 di Indonesia. Penelitian ini bertujuan untuk menganalisis sentimen publik terhadap pasangan calon "Prabowo-Gibran" berdasarkan 944 tweet yang dikumpulkan selama periode Maret hingga Mei 2024. Metode klasifikasi sentimen yang digunakan dalam penelitian ini adalah K-Nearest Neighbor (KNN) dan Support Vector Machine (SVM), dengan tujuan untuk membandingkan tingkat akurasi kedua algoritma tersebut dalam mengklasifikasikan sentimen publik. Dataset yang digunakan dibagi menjadi dua bagian, yaitu 80% untuk pelatihan dan 20% untuk pengujian. Model KNN diterapkan dengan jumlah tetangga terdekat sebanyak lima (k=5) menggunakan KNeighborsClassifier(n_neighbors=5), sedangkan model SVM menggunakan kernel linear untuk memisahkan data sentimen. Proses analisis dilakukan menggunakan Python dan Google Colab, mencakup tahapan seperti pelabelan data, preprocessing teks, dan ekstraksi fitur. Evaluasi model dilakukan menggunakan Confusion Matrix, yang mengukur akurasi, presisi, recall, dan F1-score. Hasil penelitian menunjukkan bahwa algoritma SVM memiliki tingkat akurasi sebesar 52%, sedangkan KNN hanya mencapai akurasi 51% berdasarkan 189 sampel data uji. Temuan ini mengindikasikan bahwa SVM lebih efektif dibandingkan KNN dalam mengklasifikasikan sentimen publik terkait Pemilihan Presiden 2024 di Indonesia. Meskipun demikian, akurasi yang diperoleh masih tergolong rendah, sehingga penelitian lebih lanjut diperlukan untuk meningkatkan performa model, misalnya dengan optimasi parameter, peningkatan kualitas dataset, atau penerapan teknik machine learning yang lebih canggih.
Penerapan Algoritma K-Means Untuk Pengelompokan Kepatuhan Wajib Pajak Bumi dan Bangunan di Kota Medan
Authors: Wahyuni Sri , Sriani Sriani
Published: February 2025

Pajak Bumi dan Bangunan (PBB) merupakan salah satu sumber utama Pendapatan Asli Daerah (PAD) yang berperan penting dalam mendukung pembangunan infrastruktur daerah. Namun, tingkat kepatuhan wajib pajak dalam membayar Pajak Bumi dan Bangunan di Kota Medan masih belum terlalu baik, terutama karena rendahnya kesadaran para wajib pajak. Untuk mengatasi solusi dari kepatuhan wajib pajak bumi dan bangunan digunakan proses Algoritma K-Means, yang dimana Algoritma K-Means dipilih karena kemampuannya dalam membagi data menjadi kelompok berdasarkan karakteristik tertentu. Penelitian ini bertujuan untuk mengelompokkan tingkat kepatuhan wajib pajak bumi dan bangunan di Kota Medan dengan menggunakan algoritma K-Means, yang merupakan sebuah metode clustering dalam data mining. Dengan penerapannya pada metode elbow untuk menentukan jumlah cluster yang optimal, dalam Penelitian ini mengelompokkan wajib pajak menjadi 3 kelompok cluster. yaitu cluster 1 (sangat patuh) terdapat 317 wajib pajak, cluster 2 (patuh) terdapat 345 wajib pajak, dan cluster 3 (tidak patuh) terdapat 338 wajib pajak. Dan hasil evaluasi DBI terkait penelitian ini menunjukkan hasil cukup memuaskan dengan nilai 0,522 dari pengelompokan 1000 data dengan 6 kali iterasi yang di lakukan.