bluuebunny/crossref_metadata_2025 huggingface dataset:
Frequencies of the MEFV Gene Mutations in Azerbaijan
Authors: Huseynova LS , Mammadova SN , Aliyeva KAA
Published: June 2022

The MEFV (familial Mediterranean fever gene) researches were performed in the population of the Republic of Azerbaijan in 2016–2021. Seven mutations of the MEFV gene were identified in heterozygous, homozygous and compound homozygous conditions: R761H, M694I, M694V, V726A, R202Q, M680I and E148Q. The E148Q and R202Q mutations were discovered in exon 2 and R761H M694I, M694V, V726A, M680I were found in exon 10 in the population of the Republic of Azerbaijan. The highest gene frequency of the MEFV gene examined in 42 patients was 42.85% in the M694V mutations. The second highest frequency was the R761H and the third most frequent mutation was V726A. According to world literature, five mutations, M694V, V726A, M694I, R202Q, M680I and E148Q, constitute 75.0% of all mutations found today. In our studies, these five mutations belong to the same group, and makes up 57.6% of the total mutations found. In order to prevent hereditary disease such as the familial Mediterranean fever (FMF) in the population of the Republic of Azerbaijan, it is planned to carry out prenatal diagnosis (PND) of the at-risk families.
Risk Factors of Venous Thromboembolism in Sudanese Pregnant Women
Authors: Abdalhabib EK , Alfeel A , Ali EI , Ibrahim IK , Mobarki AA , Dobie G , Hamali HA , Saboor M
Published: June 2022

Venous thromboembolism (VTE) is one of the major causes of pregnancy-related mortality and morbidity. This study aimed to determine the frequency of factor V Leiden (FVL) and prothrombin G20210A polymorphisms and measure the plasma levels of protein C (PC), protein S (PS) and antithrombin (AT) in pregnant women with VTE and healthy pregnant women. This prospective case-control study determined the frequencies of FVL G1691A and prothrombin G20210A polymorphisms and measured the plasma levels of PC, PS and AT in 198 pregnant women with VTE and 198 healthy pregnant women. Allele-specific polymerase chain reaction (ASPCR) was used to detect the FVL G1691A polymorphisms and prothrombin G20210A gene mutations. The FVL G1691A polymorphism and prothrombin G20210A gene mutations were detected only in pregnant women with VTE, with frequencies of 4.0 and 0.5%, respectively. The highest frequency of FVL G1691A polymorphism was observed in patients with deep vein thrombosis (DVT) and positively associated with contraceptive use and termination. Pregnant women with VTE had significantly lower levels of PC, PS and AT than those of controls. In conclusion, among the VTE cases, FVL G1691A polymorphism and PC, PS and AT deficiencies were the most common findings in patients presenting with DVT. Antithrombin deficiency was more common than PC and PS deficiencies. Contraceptive use, high body mass index (BMI) and termination correlated strongly with FVL G1691A polymorphism and PC and PS deficiencies in patients with VTE.
Clinical Experience of Neurological Mitochondrial Diseases in Children and Adults: A Single-Center Study
Authors: Rogac M , Neubauer D , Leonardis L , Pecaric N , Meznaric M , Maver A , Sperl W , Garavaglia BM , Lamantea E , Peterlin B
Published: June 2022

The goal of the study was to retrospectively evaluate a cohort of children and adults with mitochondrial diseases (MDs) in a single-center experience. Neurological clinical examination, brain magnetic resonance imaging (MRI) and spectroscopy, muscle biopsy, metabolic and molecular-genetic analysis were evaluated in 26 children and 36 adult patients with MD in Slovenia from 2004 to 2018. Nijmegen MD criteria (MDC) were applied to all patients and the need for a muscle biopsy was estimated. Exome-sequencing was used in half of the patients. Twenty children (77.0%) and 12 adults (35.0%) scored a total of ≥8 on MDC, a result that is compatible with the diagnosis of definite MD. Yield of exome-sequencing was 7/22 (31.0%), but the method was not applied systematically in all patients from the beginning of diagnostics. Brain MRI morphological changes, which can be an imaging clue for the diagnosis of MD, were found in 17/24 children (71.0%). In 7/26 (29.0%) children, and in 20/30 (67.0%) adults, abnormal mitochondria were found on electron microscopy (EM) and ragged-red fibers were found in 16/30 (53.0%) adults. Respiratory chain enzymes (RCEs) and/or pyruvate dehydrogenase complex (PDHc) activities were abnormal in all the children and six adult cases. First, our data revealed that MDC was useful in the clinical diagnosis of MD, and second, until the use of NGS methods, extensive, laborious and invasive diagnostic procedures were performed to reach a final diagnosis. In patients with suspected MD, there is a need to prioritize molecular diagnosis with the more modern next-generation sequencing (NGS) method.
Targeted microRNA Profiling in Gastric Cancer with Clinical Assessement
Authors: Pehlevan Özel H , Dinç T , Tiryaki RS , Keşküş AG , Konu Ö , Kayilioğlu SI , Coşkun F
Published: June 2022

Although several microRNAs (miRNAs) have been associated with gastric cancer there is still the need for identification of stable and validated biomarkers. The purpose of this study was to determine the alterations of a specific set of miRNA levels in gastric adenocarcinoma tissues to identify and validate gastric cancer-specific miRNAs using paired normal and tumor samples in an independent patient cohort. Gastric adenocarcinoma and normal stomach tissue samples of 20 patients who underwent surgery for gastric cancer were studied. The miRNA expression profiling was performed for eight miRNAs in a total of 40 tissue samples using quantitative reverse transcription polymerase chain reaction (RT-qPCR). Six out of these eight miRNAs, namely, miR-375-3p, hsamiR-129-5p, miR-196a-5p, miR-376c-3p, miR-34c-5p and miR-767-5p, were significantly underexpressed in malignant tissues of our cohort. Furthermore, the expression of miR-662 although not significantly different between normal and tumor tissues, was inversely associated with age (r = −0.440, p = 0.049). The levels of miR-129-3p and miR34c-5p were correlated with an increase in the number of metastatic lymph nodes (r = 0.470, p = 0.036; r = 0.510, p = 0.020), while and miR-376c-3p levels were negatively associated with smoking (p = 0.043). In addition, we found that the variability of miRNA expression in cancerous tissues was lower than that in normal tissues. Alterations in miRNA expression in gastric adenocarcinoma tissues in comparison to healthy tissues of each individual serves for identification of consistent biomarkers that can be used for development of diagnostic tools for gastric cancer.
Determination of Cystic Fibrosis Mutation Frequency in Preterm and Term Neonates with Respiratory Tract Problems
Authors: Tanriverdi S , Polat M , Onay H
Published: June 2022

Cystic fibrosis (CF) is an autosomal recessive disease. The genetic transition occurs with CF transmembrane conductance regulator (CFTR) gene mutation. We aimed to determine the frequency of CF mutations and also new mutations in the CFTR gene in neonates with respiratory distress. Newborn babies hospitalized due to respiratory distress were included in the patient group. The control group consisted of infants who had no respiratory distress. The CFTR genes of both groups were analyzed using polymerase chain reaction (PCR) and restriction fragment length polymorphism (RFLP) methods. A total of 40 patients (20 in the patient group and 20 in the control group) were evaluated. The CFTR gene analysis was normal in 16 neonates in the patient group, whereas in others: A46D (c.137C>A) (n = 1), D1312G (c.3935A>G) (n = 1), R117H (c.350G>A) (n = 1), S1426P (c.4276T>C) (n = 1) heterozygotes were detected; CFTR gene analysis was normal at 14 neonates in the control group, whereas in others: E1228G (c.3683A>G) (n = 1), E217G (c.650A>G) (n = 1), E632TfsX9 (c1894_1895delAG) (n = 1), I807M (c.2421 A>G) (n = 2), S573F (c.1718C>T) (n = 1) heterozygotes were detected. There was no significant difference in the patient and control groups’ CFTR gene analysis (p = 0.340). This study demonstrates the importance of CFTR gene analysis in asymptomatic newborn infants for follow-up and early diagnosis of CFTR-related disorders. In this study, a c.1894_1895delAG (E632TfsX9) heterozygous mutation detected in the CFTR gene in an asymptomatic newborn infant, was first encountered in the literature.
Novel GPC3 Gene Mutation in Simpson-Golabi-Behmel Syndrome with Endocrine Anomalies: A Case Report
Authors: Bu W , Zhu M , Li S , Liu H , Liu X
Published: June 2022

Simpson-Golabi-Behmel syndrome (SGBS) represents a rare X-linked recessive syndrome with prenatal and postnatal overgrowth, coarse facial features, congenital malformations, organomegaly and an increased risk of tumors. Mutations on the GPC3 gene, encoding the glypican-3 protein, have previously been shown to cause the disease. In this report, a 12-year-old Chinese boy was hospitalized in our institution for some clinical features of SGBS. His serum endocrine evaluation showed hormone level abnormalities, including high prolactin, high testosterone, high thyroid-stimulating hormone (TSH) levels, and low estradiol levels. Whole exome sequencing (WES) was performed in the patient for mutation analysis and a novel hemizygous mutation, c.185delT, p.(Leu62Cysfs*22), on the GPC3 gene, was identified. The mother was a heterozygous carrier. The SGBS patients might present with endocrine anomalies, which adds to the clinical heterogeneity of the disease. The novel GPC3 mutation c.185delT expands the mutational spectrum of the GPC3 gene.
EFFECTIVENESS OF BIOCONVERSION OF WATER HYACINTH AND FERMENTED FRUIT WASTE AS A GROWING MEDIA LARVA Hermetia illucens
Authors: R.C. FADHLIL , . WAHYUNI , N. BADRIYAH
Published: June 2022

Black soldier fly (BSF) larvae have cellulosic activity in the presence of bacteria in their intestines, organic waste recycling activities using the bioconversion method, bioconversion as a change of organic waste into biomass thro- ugh a fermentation process involving living organisms. Generally, the organisms that play a role in this bioconver- sion process are bacteria, and Hermetia illucens larvae as bioconversion agents of fermented water hyacinth are combined with fruit waste and used as a growing medium. Hermetia illucens larvae with feeding treatment P0 = 100% fruit waste, P1 = fruit waste 25 % + 75% fermented water hyacinth, P2 = 50% fruit waste + 50% fermented water hyacinth, P3 = 75% fruit waste + 25% fermented water hyacinth, larvae used are 6 days old, for all treatmen- ts using 50g Larval mass weight. The results showed that. P3 = 75% fruit waste + 25% fermented water hyacinth produces the highest average weight of the final mass of larvae, namely 124.62 (gr), average feed consumption of 72.72%, average ECD and WRI values of 10.98% and 10.38%. The mixing level of water hyacinth and fermented fruit waste in treatment 3 showed an effective result as a growing medium for Hermetia illucens larvae.
FIBER FRACTION OF KEPOK BANANA PEEL FLOUR (Musa paradisiaca) FERMENTED BY GOAT RUMENT FLUIDS
Authors: T. N. I. KONI , SITU M.
Published: June 2022

This experiment was conducted to evaluate the fiber fraction of banana peel meal fermented by goat rumen flu- id. The experimental design used was completely randomized design with four treatments and six replicates. Four treatments were CR0: kepok banana peel meal + 0% goat rumen fluid, CR30: kepok banana peel meal + 30% goat rumen fluid, CR40: kepok banana peel meal + 40% goat rumen fluid, CR50: kepok banana peel meal + 50 % goat rumen fluid. This fermentation process during seven days. The variables observed were NDF, ADF, hemycellulosa, cellulose, and lignin. The data on the fiber fraction of banana peel meal was analyzed by analysis of variance and continued with Duncan s multiple range tests. NDF, ADF, cellulose, hemicellulose, and lignin of banana peel meal fermented by goat rumen fluid was lower than that without goat rumen fluid. The conclusion in this study was that the use of 30% goat rumen fluid contained ADF of 31.84%, NDF of 45.03%, cellulose of 13.27% and hemicellulose of 13.53% of kepok banana peel meal.
UTILIZATION OF Garcinia mangostana L. PEEL EXTRACT WHICH CONTAINS TANIN IN PROTECTING TOFU CAKE PROTEIN
Authors: . KURNIAWAN , SUNAKA A. , -SABA’IY B.U.AS , SIREGAR R. N. , HERNAMAN I.
Published: June 2022

The research objective was to determine the amount of tannin in mangosteen peel extract and the best dose of mangosteen peel extract in protecting tofu cake protein. Mangosteen peel flour is extracted using water at a ratio of 1: 5, 1:15, 1: 30, 1:45. Then mixed with the tofu cake and dried. Furthermore, in vitro testing was carried out using a completely randomized design followed by Duncan’s test. The study used 5 treatments by adding tofu pulp as a con- trol with each of which was repeated 4 times. The results showed that the mangosteen peel extract at a ratio of 1:45 produced the highest total tannins, namely 26.55g, and the lowest concentration of N-NH3 (P <0.05), namely 4.01 mM. Besides that, it also produced the lowest digestibility of dry matter and organic matter digestibility (P <0.05), with an average of 61.46% and 32%. The conclusion was that extraction at a ratio of 1:45 mangosteen peel flour and water produced the highest amount of dissolved tannins and resulted in the lowest N-NH3 value which can be used as a protein protection agent (bypass protein).
PERFORMANCE OF BROILER WERE GIVEN TURMERIC (Curcuma domestica Val.) AND TAMARIND (Tamarindus indica L.) ON DRINKING WATER
Authors: N. P. K. WARDANI, , DEWI G. A. M. K. , CANDRAWATI D. P. M. A.
Published: June 2022

This experiment was conducted to find out performance of broiler was given turmeric, tamarind, and mixed turmeric and tamarind on drinking water used Completely Randomized Design (CRD) consisting of 4 treatments dan 5 replications. The treatments are given without turmeric and tamarind (A), 2% turmeric (B), 2% tamarind (C), and mixed 1% turmeric and 1% tamarind (D). The observed variables are initial body weight, final body weight, daily body weight, feed consumption, water comsuption, and FCR. The results indicated that was given 2% turmeric (B), 2% tamarind (C) and mixed 1% turmeric and 1% tamarind (D) significantly increased (P<0,05) of final body weigth, daily body weight, water comsuption, and FCR but different significantly (P>0,05) of feed comsuption compared to the control (A). Based on concluded that was given 2% turmeric (B), 2% tamarind (C) and mixed of 1% turmeric and 1% tamarind (D) on water drinking able to provide the same ration consumption, but can increased of final body weight, daily body weight and efficient in untilizing rations while broiler was given mixed 1% turmeric and 1% tamarind (D) can increased water comsuption.
ORGANOLEPTIC QUALITY OF LANDRACE PORK PRESERVED BY TRADITIONAL PRESERVATION METHOD (SUI WU’U) FROM EAST NUSA TENGGARA
Authors: F. M. D. NAJU , MIWADA I. N. S. , LINDAWATI S. A.
Published: June 2022

This research was conducted to determine the organoleptic quality of landrace pork, which is preserved by tradi- tional sui wu’u method from East Nusa Tenggara. The research was conducted from September to October 2020 at the Laboratory of Animal Product Technology and Microbiology Faculty of Animal Science, Udayana University. The experimental design used a Completely Randomized Design (CRD) with three treatments and five replicati- ons. The three treatments were: landrace pork preserved with the addition of 0.5 kg of corn flour (P1), landrace pork which was preserved with the addition of 1 kg of corn flour (P2), landrace pork which was preserved with the addition of 1.5 kg of corn flour (P3). The variables observed by flavour, color, aroma, texture and overall accep- tance. The results of the organoleptic test were analyzed using the Kruskal Wallis test and if there was a significant difference (P<0.05) then continued with the Mann-Whitney test. The results showed that the organoleptic quality (flavour, color, aroma, texture and overall acceptance) of treatments P1, P2 and P3 were not significantly different (P>0.05). The results of the study can be concluded that, the difference in the addition of corn flour in the process of preserving pork landrace with the method of preserving sui wu’u in bamboo petung for one month gives the same influence on organoleptic quality.
THE EFFECT OF MARINATED TIME SPENT CINNAMON POWDER (Cinnamon burmannii) TO ORGANOLEPTIC QUALITY OF BALI BEEF
Authors: Y.K. BARATA , SRIYANI N.L.P. , WIBAWA A.A.P.
Published: June 2022

The aim of this research is to determine the organoleptic quality of bali beef marinated by cinnamon powder for 0 hours, 4 hours, 8 hours and 12 hours. It was conducted in October 2020 - November 2020 at the Laboratory of Animal Product Technology and Microbiology Faculty of Animal Science, Udayana University. This studies used a Complete Random Design (CDR) with four treatments and four replications assessed by semi-trained 18 panelists. The four treatments were marinated bali beef with cinnamon powder for 0 hour (P0), marinated bali beef with cinnamon powder for 4 hours (P1), marinated bali beef with cinnamon powder for 8 hours (P2) and marinated bali beef with cinnamon powder for 12 hours (P3). The variables to consider is quality of organoleptic which is include colour, aroma, texture, flavour, tenderness, and overall acceptance. The results of this research have shown that the marinated time spent bali beef with cinnamon powder increased the colour, aroma, and overall acceptance value or significantly different (P<0,05) but, have no significant or different effect (P>0,05) with texture, flavour, and tenderness value. Based on the results of this research it can be concluded that the duration of marination of cinnamon powder (Cinnamon burmannii) can affect the organoleptic quality of bali beef. The length of marination for cinnamon powder that was most liked and accepted by the panelists was the length of marination for 4 hours as seen from the panelists’ assessment of the overall acceptance.
Banning Novels at Schools in Indonesia: An Investigation of Education Policy Execution
Authors: Budianto Lestari , Hadi Iwan , Zulaiha Siti , Aisyah Noer
Published: June 2022

Novel is one of the literary works that people like to read for several reasons. The readers are not only adults but also teenagers and children. Novels can be a good source of knowledge for everyone including students. Reading novels can give many positive impacts in terms of language and emotions. However, the existence of novels is banned at some schools in Indonesia. The banning is based on several reasons. This paper investigated the perspectives of students and teachers related to the banning of novels in a school in Indonesia. This research used a descriptive qualitative design. The data were collected through semi-structured interviews with students and teachers at the school. The result showed that there were several problems related to the use of the novels in terms of kinds and the reading time of the novels. However, the use of novels is also beneficial in terms of emotion, habits, and knowledge. Considering the advantages and the disadvantages of novels at school, this research provided suggestions related to the ban of novels in terms of kinds of novels and reading time.
International Teacher Identity Construction: A Story of An Afghan International Student
Authors: Budianto Lestari
Published: June 2022

Foreign language plays important role in constructing a new identity for an international student. This paper explored the role of English for an international student studying in an Indonesian institute in constructing a new identity as an international teacher in Indonesia. This research used qualitative as the method and narrative inquiry became the research design. The participant of this research was an Afghan international student pursuing a master's degree in an Indonesian institute. The data were obtained through semi-structured interviews and documentation. The findings of this research showed that English skills were needed to show that the participant was an international teacher and English was beneficial for the participant in constructing a new identity as an international teacher in Indonesia.  The participant had started learning English in his Junior High School and practiced using it intensively when the participant went abroad to continue his study for bachelor’s and master’s degrees. This research also revealed that having good speaking skills opened an opportunity for the participant to apply for a job as an English international teacher in Indonesia. Moreover, the speaking skills and international English teacher identity created a bridge for the participant to be a speaker for some events such as seminars and English-based events held by schools and institutes. This research was limited to a participant from a country and focused on teacher identity. It is suggested for future research to conduct similar research with more various participants from various countries and focus on another kind of identity construction.
LAYANAN BIMBINGAN KLASIKAL SECARA ONLINE DALAM MENGATASI KEJENUHAN BELAJAR SELAMA PANDEMI COVID-19
Authors: AFRNM Aldila Fitri Radite Nur Maynawati , Monika Ayu Nurhayati  , Yuraida Ita Kurniawati
Published: June 2022

Penelitian ini dilatarbelakangi oleh adanya peserta didik yang mengalami kejenuhan dalam belajar. Penelitian ini bertujuan untuk mendiskripsikan kejenuhan belajar melalui layanan  bimbingan klasikal pada peserta didik di SMA Negeri 3 Sukoharjo. Proses pemberian layanan diberikan kepada peserta didik secara online dengan mematuhi kebijakan pemerintah dalam masa pandemic COVID-19. Namun, dalam pelaksanaan pembelajaran nemui banyak kendala, mulai dari kendala signal, hingga kuota internet yang terjadi dalam proses belajar daring. Namun, tidak semua peserta didik mengalami kendala tersebut ada peserta didik yang dapat mengikuti proses pembelajaran dari awal  hingga selesai. Penelitian ini dimaksudkan untuk mengetahui kejenuhan belajar,  hingga cara mengatasi kejenuhan belajar pada peserta didik. Metode penelitian yang digunakan dalam penelitian ini adalah  kualitatif penanganan kasus bermaksud agar dapat membantu mengatasi kejenuhan belajar pada peserta didik di SMA Negeri 3 Sukoharjo. Hasil penelitian ini memperlihatkan banwa peserta didik mengalami kejenuhan belajar  kerena adanya kelelahan emosional yang terjadi secara berulang-ulang dalam jangaka waktu yang panjang.
Mesenchymal stem cell-based therapies as a recent treatment modality in COVID-19: possibilities and challenges
Authors: Kenawy Gamal , Alfouzan Yasmeen , Bajaber Maryam , Alqasem Hadeel , Banaji Shaimaa , Alkhteeb Nurah
Published: June 2022

Coronavirus disease (COVID-19), is a recently discovered respiratory disease due to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which has unexpectedly become a widespread pandemic. Yet, because of the absence of evidence, no effective COVID-19 treatment exists. Preventing infection, detecting instances, and providing supportive care are the main focuses of management. The medical community is curious about the promising recent use of Mesenchymal stem cells (MSCs)-based therapies in a small number of seriously unwell patients. Consequently, numerous clinical trials were registered for using stem cells in treating COVID-19, which were aimed at using different cell sources, dosages and, most importantly, various targeted patient groups. The possibilities of stem cell use in COVID-19 patients, as well as relevant challenges were discussed in this brief review. This review concluded that there are certain difficulties with MSCs therapy that must be resolved prior to commencing treatment. These included the need to improve homing efficiency of MSCs, the long-time of producing a clinically meaningful number of autologous stem cells; in addition, not all cases are good candidates for MSCs treatment; lastly, the absence of a standardized treatment creates differences in the effective parameters in MSCs therapy. It is hoped that in the near future, the combined efforts of global researches would better realize the actual therapeutic benefits of MSCs-based therapies in managing patients with COVID-19.
REKOMENDASI CALON KARYAWAN TETAP DI PERUSAHAAN J&T EXPRESS DENGAN METODE SIMPLE ADDTIVE WEIGHTING
Authors: Anggadiputra Prabu Alif , Mawardi Viny Christanti , Sutrisno Tri
Published: June 2022

The definition of an expedition is the delivery of goods or a company that transports goods. Expeditions for shipping goods are now often found in Indonesia because of the large number of people who make transactions via online. There is a J&T Express expedition service which is one of the shipping services that is able to serve deliveries within cities, between cities and between provinces. J&T Express has problems in determining permanent warehouse employees. The determination of warehouse employees for permanent employees at J&T Express is still done individually by the Supervisor of each J&T Express branch. The Simple Additive Weighting method is one method to make it easier for Supervisors to choose permanent warehouse employees with rankings. The way it works is that the user selects the 7 criteria provided, namely performance, attendance, manners, appearance, ability, knowledge, and responsibility.
Perancangan Game Platformer 2D “Seasonal” Pada Web
Authors: Aprilia Silvana , Pragantha Jeanny , Haris Darius Andana
Published: June 2022

“Seasonal” is a 2D game with platformer and single player genres. This game can be played on the web or devices that can access the browser. Game is developed using Unity 2019.4.14f1. Players are required to collect 4 treasure boxes from 4 seasons. Those seasons are Spring, Summer, Autumn and Winter. Testing is done by blackbox testing, alpha testing and beta testing. Alpha testing is tested by the supervisor while beta testing is tested by 48 respondents. The results of beta testing show that "Seasonal" is a game that can be enjoyed by all groups from teenagers to adults. “Seasonal” also playable on Google Chrome, Microsoft Edge, Safari, and Opera browsers. In addition, "Seasonal" has interesting gameplay but has level of difficulty between normal to difficult.
PENGGUNAAN METODE COLLABORATIVE FILTERING BASED UNTUK REKOMENDASI KENDARAAN BERMOTOR
Authors: Erwin Erwin , Mawardi Viny Christanti , Hendryli Janson
Published: June 2022

Motorized vehicles are one of the main needs of every human being and also the most common form of transportation used by people. To choose a motorized vehicle, people should not choosing it in a hurry because it takes good consideration to choose the right brand, type, and the need for the vehicle. In making their choice, usually people will read the reviews from vehicle review sites such as Carmudi.co.id, OTO.com, KobaYogas.com, and so on. The purpose of this thesis is to help provide web-based vehicle recommendations using the values of rating and criteria selected by the user. User rating values are calculated with collaborative filtering. In addition to the rating value, users can also get vehicle recommendations by providing specifications of the vehicle needs. Rating values from the program users will be processed by using adjusted cosine similarity to determine their similarity score to the rating values from vehicle review sites and other users so the vehicle recommendations can be obtained according to the similarity of the other user ratings. Based on the results of User Acceptance Testing (UAT) from 21 respondents, the testing got an average score of 83.95% so the program can be categorized as “Very Good”.
PERANCANGAN SISTEM INFORMASI SEKOLAH MENENGAH ATAS KRISTEN KASIH KEMULIAAN BERBASIS WEB
Authors: Hadiyanto Daniel , Arisandi Desi , Wasino Wasino
Published: June 2022

The world has entered the era of digitalization where information technology is growing very rapidly, especially technology related to the internet. Almost every aspect of life uses the internet as a practical and worldwide information medium. With the development of information technology, many things can be produced in certain fields including education; such as creating a website to advertise schools and/or campuses so that more people are known to be interested in registering their children so they can continue their education, creating a database containing a list of school/academic grades to monitor the progress of students who determine their graduation correctly. and accurate, or save teaching materials online so that they are easy to learn when learning must be online, etc. In this case, SMAK Kasih Kemuliaan utilizes the internet network to introduce information about the school as completely and interestingly as possible. Thus the school can be known by the wider community and even abroad. The information technology used by SMAK Kasih Kemuliaan is the school's web profile as complete as possible, besides that the public is expected to be able to access school information easily and efficiently. By using the school's web profile, it is hoped that prospective high school students will get the school they expect. Thus, SMAK Kasih Kemuliaan can be their main goal. With the increasing number of new students at SMAK Kasih Kemuliaan, the school will progress and develop, not closing the hope of becoming one of the leading schools.
APLIKASI PERINGKASAN DOKUMEN MENGGUNAKAN METODE MAXIMUM MARGINAL RELEVANCE (MMR)
Authors: Delvin Delvin , Arisandi Desi , Sutrisno Tri
Published: June 2022

making a summary application to help readers who do not like to read long and thick news articles which take a relatively long time and can cause readers to be lazy to read the news articles. This summary application is used to summarize news articles, in making the application using ASP.Net. In this summary, the Maximum Marginal Relevance (MMR) method is used. In this study, you can use articles on the website, and do it. Articles are processed in the form of a file (single document) with a txt extension. The summary process goes through the preprocessing stage, which consists of sentence segmentation, case folding, tokenizing, filtering, stemming.
ANALISIS FLUKTUASI HARGA SAHAM BLUE CHIPS DENGAN MENGGUNAKAN ALGORITMA C4.5
Authors: Pradipta Yohanes Leonardus Dwi , Arisandi Desi , Sutrisno Tri
Published: June 2022

In this digital era, the development of stock investment has been fairly rapid and has begun to be used as a source of livelihood for some people, especially during the pandemic. However, for some people who are not familiar with stocks, they will find it difficult to make a decision to make transactions in the stock market. Because in the stock itself, there are several categories based on their quality, ability, and reliability in various situations. With this problem, a thesis was made with the title "Analysis of Blue chip Stock Price Fluctuations Using the C4.5 Algorithm." This thesis uses stocks that are in the Blue Chip Stock category because these stocks are rated very well from all aspects and can be relied on, especially by people who are not very deep into trading in the stock world. From the existing problems, a program is needed to help people who want to make transactions by analyzing stock price fluctuations by studying their movements over a certain time span. In this program, blue chip stock data will be used, which was originally in the form of numerical data. The things that are included in the stock data are the prices of open, close, high, low, and the number of transaction volumes registered and taken from the Yahoo Finance Page. Then the stock data will be converted into data in the form of categories. This is a requirement for using the C4.5 method. The results issued from this program are in the form of stock price categories that go up, down, or even balanced. Program testing is carried out in five stages. The average accuracy that has been obtained from the five stages is 82.4%.
PENGENALAN KARAKTER SIBI MENGGUNAKAN METODE CONVOLUTIONAL NEURAL NETWORK
Authors: Suryawan Fadhil Maulana , Pragantha Jeanny , Handayani Teny
Published: June 2022

Communication between humans is an important thing for the activities of daily life. However, Humans were created with the advantages and disadvantages of each person and one of them is the difficulty of establishing or communicating and interacting for people who are deaf and speech impaired. Meanwhile, what solutions can be given about these shortcomings. So that there is no gap in society.This has led to the development of sign language recognition systems, which can automatically translate sign language into text and speech with effective pre-processing and accurate sign classification. According to recent developments in the field of deep learning, neural networks may have broad implications and implementations for sign language analysis. In the proposed system, Convolutional Neural Network (CNN) is used to classify sign language images because convolutional networks are faster in feature extraction and image classification than other classifiers.CNN architecture is carried out in 3 stages, 25 epochs, 50 epochs and 100 epochs. Based on the experiments conducted, the accuracy value obtained continues to increase in each stage, starting from 91.03%, 92.69% to the highest accuracy value in the training process of 94.25%. Likewise, the data prediction process also increases in each stage, starting from 90.62%, 93.75% until the highest accuracy value in data prediction is same 95.83%.
Perancangan Game Virtual Pet “My Lonely Tofu”
Authors: Orlando Sacchio , Pragantha Jeanny , Haris Darius Andana
Published: June 2022

The game "My Lonely Tofu" is a mini-game combined with a Virtual Pet game. This is a PC-based, offline and single player game. In this game, there are 5 mini-games, which are Tofu Quiz, Tap Tofu, Sad Tofu, Tofu Think Alike and Spot Tofu. The goal of this game is to evolve the virtual pet, Lonely Tofu, by taking care of it. Alpha testing is tested by the supervisor while beta testing is tested by 46 respondents. The results of beta testing show that “My Lonely Tofu” is an enjoyable game suitable for all ages, all 5 minigames have different difficulties, the easiest is Tap Tofu and Tofu Quiz is the hardest.
KLASIFIKASI PENYAKIT MATA MENGGUNAKAN CNN
Authors: William William , Lubis Chairisni
Published: June 2022

The eye is one of the organs of the human senses, namely the sense of sight. Eyes has an important function in capturing visual information that is used for daily activities. Eye health is important because vision can't be replaced by anything.Previously, a doctor made a diagnosis of an eye disease using retinal fundus images. But it takes expertise and a long time. Therefore, a classification system was made using the Convolutional Neural Network (CNN). The CNN network is used to recognize the visual pattern of image pixels with minimal preprocessing.The variables used during testing are data and batch size for the CNN training process. The data variables consist of 50 images from each class which are reproduced using mirroring with a total of 1,000 images; 50 images from each class reproduced using rotation totaling 2,000 images; and 275 normal images, 55 diabetic images, 250 glaucoma images, 250 cataract images, and 170 hypertension images totaling 1,000 images. Batch size variables used were 25 and 32. After all models were tested, it was concluded that the model trained using 1,600 images and 32 batch size gave the best results, namely loss: 0.1228 and accuracy: 0.9100.
KLASIFIKASI JENIS PENYAKIT PADA DAUN TOMAT DENGAN MENGGUNAKAN CONVOLUTIONAL NEURAL NETWORK
Authors: Gemilang El Primo , Lubis Chairisni
Published: June 2022

Tomato is one of the farming commodities in Indonesia, easy to plant but easy to get sick. Analizing the disease in plain view still not yet achieve high accuracy result, so we use the help of Convolutional Neural Network (CNN) algorithm. This research is quantitative, with image of a single tomato leaf that is infected as the input. The constructed model gains an accuracy of 58.33% with 12.716 image consisting of Bacterial Spot, Early Blight, Late Blight, Leaf Mold, Target Spot, Spider Mites, Mosaic Virus, Yellow Leaf Curl Virus, Septoria Leaf Spot and healthy leaf. The conclusion from this research is that classification of Tomato leaf disease using CNN can help achieve a higher accuracy but using LeNet-5 as the model architecture is not very effective.
TRACKING TRANSAKSI PORTOFOLIO ASET INVESTASI SAHAM PERHITUNGAN AVERAGE PRICE
Authors: Mulyawan Bagus , Lauro Manatap Dolok , Toni Agus
Published: June 2022

Pantau portofolio investasi saham besar di beberapa platform investasi yang berbeda. Sulitnya pemantauan aset tetap membuat sulitnya menentukan rata-rata dan nilai akhir dari suatu portofolio investasi saham, yang berdampak pada ketidaktepatan  keputusan investasi. Oleh karena itu, diperlukan suatu sistem  yang dapat membantu investor dalam memilih jenis produk keuangan dengan menghitung return dan risiko yang diharapkan serta memantau portofolio investasinya sehingga dapat mengambil keputusan investasi yang tepat.        Metode yang digunakan untuk menentukan nilai harga saham adalah metode Weighted Average, yang mempertahankan validasi pedoman perdagangan investasi. Kerugian pada saat berinvestasi dalam suatu kebijakan investasi saham diminimalkan sehingga hasil dari portofolio investasi saham tersedia dalam bentuk nasabah atau sebagai total nasabah.        Aplikasi ini membantu pedagang swasta menemukan catatan keuangan  lebih efisien dan meningkatkan, dan menemukan kerugian dan keuntungan dalam transaksi investasi saham. Aplikasi ini memungkinkan Anda untuk melihat banyak pelanggan secara bersamaan, tidak hanya satu pelanggan, tentang harga rata-rata jual beli. Hasil akhir yang ditampilkan dalam aplikasi akan berupa laporan Excel.
KLASIFIKASI POTENSI MENDERITA PENYAKIT JANTUNG KORONER DENGAN BACKPROPAGATION NEURAL NETWORK
Authors: Henri Henri , Lubis Chairisni
Published: June 2022

Maksimal 200 kata berbahasa Inggris dicetak miring dengan Times New Roman 10 point. Abstrak berisi maksud dan tujuan penelitian, metode penelitian yang digunakan serta hasil yang dicapai.Membandingkan algoritma A dan algoritma B dalam menyelesaikan sistem persamaan linier berdasarkan kecepatan proses, ketelitian hasil serta besarnya ruang memori yang digunakan. Hasil percobaan menunjukkan algoritma B lebih cepat dari algoritma A namun algoritma A menghasilkan ketelitian yang lebih baik serta ruang memori yang kecil dibandingkan algoritma B
Pembuatan Aplikasi Berbasis Website Untuk Rekomendasi Fakultas dengan Algoritma C4.5
Authors: Wijaksana William , Arisandi Desi , Perdana Novario Jaya
Published: June 2022

unstable and easily influenced in decision-making, and one of the most frequent occurrences is the mistakes in determining their faculty. In this case, the application in the form of a faculty recommendation website aims to help students make the right decisions, and the teachers take a role as an admin to view the student data. This application is made using ASP.NET and JavaScript for the front-end and Python and C# for the back-end. Using the C4.5 algorithm, the faculty can recommend the students accordingly based on their hobbies and the grade criteria entered into the system. By calculating the C4.5 algorithm, it will produce a Decision Tree. The decision tree will be more accurate if there is more training data, thus making the system better and more accurate. The results generated on this website are still less accurate because the training data used is still small.
Pembuatan Aplikasi MOSTRANS Transporter Berbasis Mobile Menggunakan React-Native JavaScript
Authors: Salim Rubin , Arisandi Desi , Hendryli Janson
Published: June 2022

MOSTRANS Mobile Transporter, the mobile application in this paper aims to advance technology in the health supply chain ecosystem so that every part of the operation can be more efficient and modern. In dealing with this problem as well, MOSTRANS Mobile Transporter aims to meet the needs of MOSTRANS Software as a Service (SaaS) clients by assisting them in carrying out their daily operational activities by answering problems such as what features are needed. This application is built using JavaScript and React-Native for the front-end. With GraphQL as a complementary component for the back-end. To test this application, the Black Box Testing method is used as well as testing by the user with the User Acceptance Test to ensure the application can be used for everyday use. From the test results, it was concluded that the application created had fulfilled the purpose of assisting the operational activities of the MOSTRANS SaaS client by facilitating the features required by the MOSTRANS SaaS client. By making this application, the daily operational activities of the parties involved will be much more efficient and mobile..
ANALISIS KEPUASAN PENGGUNAAN APLIKASI SHOPEE MENGGUNAKAN ALGORITMA NAÏVE BAYES
Authors: Triasis Gabriel Carvenita , Arisandi Desi , Sutrisno Tri
Published: June 2022

The Covid-19 pandemic that attacks the world's health conditions, including Indonesia, greatly affects daily life. The impacts include the need to maintain distance and avoid crowds, which forces people to reduce interactions between people. Therefore, people need other ways to be able to meet their daily needs. One alternative that can be done is to use e-commerce applications to conduct online transactions or also known as online shopping. It was reported on September 30, 2021 that shopee occupies the most superior e-commerce in Indonesia with the number of monthly visitors which currently reaches 93 million subscribers, followed by Tokopedia with 86 million subscribers and in third place with 35 million customers occupied by Bukalapak. Therefore, an analysis of satisfaction with the use of e-commerce applications with the Shopee case study will be carried out to determine the response from users to the applications that are declared the most desirable. The application will be made based on a website to make it easier to use and use the Naïve Bayes algorithm as the analysis method. The Naïve Bayes algorithm is one method that can classify data which in this case are comments from application users into three types of comments, namely positive, negative and neutral. The process that is run also includes a preprocessing task as raw data processing into ready-to-use data and a confusion matrix as a calculation of the accuracy of the resulting application. Testing of the application is carried out in two ways, namely using a confusion matrix using a system with 80% results and a user acceptance test with 94.8% results, namely very good predicate. From the analysis, it can be concluded that Shopee users are satisfied with the application used and the classification of user reviews using the Naïve Bayes Algorithm produces a fairly good accuracy.
SISTEM INFORMASI DAN REKOMENDASI PENJUALAN MENGGUNAKAN METODE SIMPLE ADDITIVE WEIGHTING
Authors: Raharja Darwin , Arisandi Desi , Perdana Novario Jaya
Published: June 2022

PD. Prima Karya Busana is an embroidery service provider since 2006 but more modern competitors have emerged. The COVID-19 pandemic has also forced digitalization activities. With this sales information and recommendation system, customers don't need to come and order manually, which can be done via the web as well as reach out to potential customers. There is a recommendation feature that can be used by customers to determine the selection of the best type of embroidery fabric based on several criteria such as price, weight, absorption rate, level of smoothness, clarity of embroidery stitches, and material resistance through interviews with PD. Prima Karya Busana owner using Simple Additive Weighting method. The method used for web development is System Development Life Cycle with Rapid Application Development model. The programming language used is PHP and MySQL as the database. The development has been completed properly based on Blackbox Testing and in accordance with the PD. Prima Karya Busana owner based on User Acceptance Testing and feedback provided. Customers and prospective customers are also proven to be able to access the web online well and use the recommendation feature to choose the best type of embroidery fabric based on the User Acceptance Testing.
PERANCANGAN SISTEM PEMASARAN ONLINE BERBASIS ANDROID PADA PT.BINTANG KAMILLO PROPERTY
Authors: Cashiragi Robby
Published: June 2022

Seiring dengan perkembangan zaman,teknologi yang ada pada saat ini semakin canggih dan membuat segala sesuatu menjadi instan atau serba cepat dan akurat.Dengan adanya teknologi ini semua dapat dikerjakan dengan online.Maka dari itu Smartphone bisa menjadi salah satu jembatan untuk pemasaran perumahan saat ini yang dimana pelanggan tidak perlu keluar rumah untuk melihat detail rumah tersebut. Dengan adanya hal tersebut terbentuklah bintang kamillo application ini. Bintang kamillo application ini dibuat dengan tujuan agar pelanggan dapat melihat detail rumah serta dapat menjual property mereka secara online.dan untuk pembuatan aplikasi ini digunakan,php dan android studio sebagai bahasa pemogramannya,dan mysql sebagai database dari aplikasi tersebut.dalam aplikasi ini juga terdapat sistem untuk meninput,update,delete data yang ada pada database tersebut sehingga dapat mempermudah perusahaan untuk data-data yang mereka perlukan. Dalam aplikasi ini terdapat tiga user yaitu Customer,Marketing,dan Admin. Dimana Admin dapat melakukan input,update,dan delete data sedangkan Marketing dapat melakukan validasi data property dan membuat perjanjian dan  Customer bisa melihat daftar rumah,detail rumah,menjual rumah ataupun booking rumah yang tersedia.
APLIKASI BOOKING FITTING PAKAIAN PADA TOKO REKHAS TEXTILE BERBASIS WEB
Authors: Meilyta Angeline Alviona , Tony Tony , Lauro Manatap Dolok
Published: June 2022

The Apparel Booking Fitting Application on the Web-Based Rekhas Textile Store is an application designed to make easier for customers to book fittings because through this application, customers can see products and determine their own fitting schedule without having to go directly to the store and also help the store in recording and processing booking fitting data efficiently and effectively. The process of booking fittings at the Rekhas Textile Store is still using the manual method, namely the customer comes directly to the store to make a booking fitting by selecting the desired product and the management of the booking fitting data at the Rekhas Textile Store is done by recording via excel files, scheduling booking fittings is still done by the employees. This application uses the Waterfall System Development Life Cycle (SDLC) development methodology. The database used in this application is MySQL. The programming languages used are HTML and PHP with the CodeIgniter framework.
ANALISIS SENTIMEN KOMENTAR NETIZEN TWITTER TERHADAP KESEHATAN MENTAL MASYARAKAT INDONESIA
Authors: Yan Kenny , Arisandi Desi , Tony Tony
Published: June 2022

In today's modern era, everyone can easily exchange messages, share activities carried out in the form of images or videos using social media. Frequent use of social media can be bad for physical and mental health. Health is very important, by being healthy everyone can do activities such as studying, working, exercising, etc. Twitter as one of the social media that is widely used by the Indonesian people is used as a place to get comments that will be analyzed to find out the opinion of the Indonesian people about their mental health, this is the purpose of the analysis that has been carried out. The results obtained after analyzing the sentiments of Twitter social media users' comments on the mental health of the Indonesian people are from 2369 comment data that have been analyzed, as many as 50.8% negative, 45.1% positive and 4.1% neutral. So, it can be concluded that the sentiment analysis of social media users' comments on the mental health of Indonesian people tends to be negative. The Naïve Bayes method is used when carrying out sentiment analysis and the accuracy results are 0.7961165048543689 or rounded up to 79%.