bluuebunny/crossref_metadata_2025 huggingface dataset:
Ophthalmic release of in situ gel Ciprofloxacin HCl based on combination of Hypromellose and HPC
Authors: Wardhana Yoga Windhu , Budiati Wieke , Oktavia Rizky Dwi , Widyanti Kalista Tritama , Kurniawansyah Insan Sunan , Herdiana Yedi
Published: June 2022

The development for ophthalmic delivery was purposed to achieve optimum drug loading for ocular therapeutic benefits. An adequate dose of the drug is needed to absorb in the conjunctival sac to take effect. In situ gel preparation was expected to provide these needs with the polymer aid that makes the droplets suddenly coagulate in the eye area to maintain the drug dose. The in situ gel dosage form is desired to overcome the poor bioavailability of conventional ciprofloxacin HCl eye drops on the market. Thus, this work was studied using two cellulose polymers such as hydroxyl propyl cellulose (HPC) and hydroxypropyl methylcellulose (HMPC) as a gelling forming agent.  The effect of the in situ ophthalmic quality of the gel due to the two individual polymers separately and their combined use was investigated. The in situ gel quality includes the ability of gel-forming under the influence of varying temperature and stirring frequency difference (as a rheological study) was tested together with the drug release model model. Other ophthalmic preparation quality parameters such as clarity, pH measurement, drug content determination, sterility, and antibacterial activity have been evaluated. However, overall in situ gel formulation developed was of better quality compared to the conventional one. Consideration of the choice of cellulose derivative polymer type is seen to affect the quality of controlled release kinetics models.Keywords: Ophthalmic gel, Ciprofloxacin HCl, HPMC, HPC, Drug release kinetics
Formulation and Evaluation of instant granules from Ketapang Badak fruit (Ficus lyrata Warb) using wet granulation method as an antioxidant supplement
Authors: Putriana Norisca Aliza , Mardawati Efri , Wardhana Yoga Windu , Afifah Nurul , Wulandari Anting , Wira Dwi Wahyudha , Masruchin Nanang
Published: June 2022

Free radicals are naturally produced from the body's metabolic processes, but the excessive amount of free radicals can interfere with human health because they cause oxidative stress. Therefore we need antioxidants that can protect against free radicals. Ficus lyrata W. is one of the antioxidant sources. This study aims to formulate instant granules from the Ethanol extract of Ficus lyrata W. using the wet granulation method. The formula is optimized using the Design Expert with the two-level factorial method. The optimized factors are xanthan gum 0,8-1,5% and PVP 0,5-5%. Granules are evaluated and analyzed using a Design Expert. The results obtained showed that Formula 4 with a combination of xanthan gum 0,8% and PVP 5% is the best formula, which the evaluation result is Loss On Drying (LOD) 3,28%, Flowability 16.043 ± 0.221 (g/s), Angle of Rest 21.77 ± 0.862, no precipitate for15 minutes, pH = 4.7, dispersed in 31 seconds and sedimentation time is 52.213 ± 1.7878 (minutes), the results of the antioxidant activity test of the ethanol extract of Ficus lyrata is 38,27 µg/ml, and instant granules is 145,02 µg/ml.Keywords: Antioxidant, Ficus lyrata W., Instant granules, Design expert
Preparation of organic-solvent free liposome of Piper albi Linn extract in solution and powder form
Authors: Amalia Eri , Sopyan Iyan , Aliza Putriana Norisca , Sriwidodo Sriwidodo , Subarnas Anas
Published: June 2022

Piperine is bioactive alkaloid extracted from white pepper (Piper albi Linn) with several beneficial pharmacological activities. It is also known to enhance the bioavailability of several limited solubilities of other compounds such as curcumin and resveratrol. Nevertheless, due to its poorly water-soluble character, piperine and extract of white pepper are less applied among other plant extracts. Therefore, our research focussed on the engineering of white pepper extract standardized to piperine in liposome solution and liposome powder for further preparation of various pharmaceutical dosage forms.Our research in preparation of extracted white pepper in liposome delivery system successfully prepared spheric liposome solution with 98.92%±1.17% and an average size of 398.7 nm. The liposome was also successfully prepared in dry powder form with sucrose as a carrier for liposome protection. The rehydration is successfully forming a spheric shape with a similar profile to the initial liposome solution. This research paves the way for scalable white pepper extract liposome preparation without the utilization of toxic organic solvent, to produce the commercial solvent-free product in the future.Keywords: Piperine, Piper albi Linn, liposome, extract, organic solvent-free, drug delivery system, spray dry
Array-Based Comparative Genomic Hybridization Analysis in Children with Developmental Delay/Intellectual Disability
Authors: Türkyılmaz A , Geckinli BB , Tekin E , Ates EA , Yarali O , Cebi AH , Arman A
Published: June 2022

Developmental delay (DD) is a condition wherein developmental milestones and learning skills do not occur at the expected age range for patients under 5 years of age. Intellectual disability (ID) is characterized by limited or insufficient development of mental abilities, including intellectual functioning impairments, such as learning and cause–effect relationships. Isolated and syndromic DD/ID cases show extreme genetic heterogeneity. Array-based comparative genomic hybridization aCGH) can detect copy number variations (CNVs) on the whole genome at higher resolution than conventional cytogenetic methods. The diagnostic yield of aCGH was 15.0–20.0% in DD/ID cases. The aim of this study was to discuss the clinical findings and aCGH analysis results of isolated and syndromic DD/ID cases in the context of genotype-phenotype correlation. The study included 139 cases (77 females, 62 males). Data analysis revealed 38 different CNVs in 35 cases. In this study, 19 cases with pathogenic CNVs (13.6%) and five cases with likely pathogenic CNVs (3.5%) were found in a total of 139 cases diagnosed with DD/ID. When all pathogenic and likely pathogenic cases were evaluated, the diagnosis rate was 17.1%. The use of aCGH analysis as a first-tier test in DD/ID cases contributes significantly to the diagnosis rates and enables the detection of rare microdeletion/microduplication syndromes. The clear determination of genetic etiology contributes to the literature in terms of genotype-phenotype correlation.
Case Report for Two Siblings Carrying Neurofibromatosis Type 1 with a Rare NF1: c.5392C>T Mutation
Authors: Sayın Kocakap DB , Gündüz Ö , Özer L , Durak M
Published: June 2022

Neurofibromatosis type 1 (NF1) is a neurocutaneous syndrome caused by mutations on the NF1 gene, which is located at chromosome 17q11.2. Although an autosomal dominant inheritance pattern is well-established, about half of new cases are the result of de novo NF1 mutations. Neurofibromatosis type 1 has an incidence rate of 1/2600–3000 individuals, making it a major public health problem. The product of the NF1 gene, the neurofibromin protein, is known to play a critical role in cellular differentiation and in tumor suppression. Due to widespread expression of neurofibromin in numerous tissues, particularly in cutaneous and nervous systems, NF1 mutations cause a wide variety of clinical symptoms, including cutaneous and ocular lesions such as café au lait spots, axillary and inguinal freckling, multiple cutaneous neurofibromas, iris Lisch nodules, choroidal freckling and internal tumors. In this article, we report the cases of two siblings with NF1, a 21-year-old male and his 24-year-old sister, who have the same c.5392C>T mutation on the NF1 gene (p.Gln1798 Ter). Café au lait macules and freckling were the prominent clinical features in both siblings. However, a plexiform neurofibroma was also observed on the left arm of the sister, which is known to carry potential risk for malignant transformation. Although the mutation was previously described once, to the best of our knowledge, no case report has been published since then.
Phenotypic Variability of 17q12 Microdeletion Syndrome – Three Cases and Review of Literature
Authors: Țuțulan-Cuniță A , Pavel AG , Dimos L , Nedelea M , Ursuleanu A , Neacșu AT , Budișteanu M , Stambouli D
Published: June 2022

Chromosome 17q12 microdeletion syndrome is a contiguous gene deletion syndrome caused by an 1–2 Mb loss, characterized by multicystic dysplastic kidneys or other urinary system anomalies starting in utero, including autism or maturity-onset diabetes of the young in its postnatal phenotype. Here, we report on three cases (two prenatal and one postnatal) with distinct and novel clinical presentations as compared with a large number of reviewed patients, thus emphasizing the phenotypic variability of this syndrome and the consequent difficulties in genetic counselling. Prenatal hyperechogenic multicystic kidneys, as well as other urinary tract anomalies, should be considered a marker, therefore indicating the necessity of comprehensive genetic testing, and autism should also be acknowledged as a possible clinical presentation, postnatally.
de novo TINF2 C.845G>A: Pathogenic Variant in Patient with Dyskeratosis Congenita
Authors: Kocheva SA , Gjorgjievska M , Martinova K , Antevska-Trajkova Z , Jovanovska A , Plaseska-Karanfilska D
Published: June 2022

Dyskeratosis congenita (DC) is a clinically and genetically heterogeneous, multisystem inherited syndrome with a very high risk for bone marrow failure (BMF) and cancer predisposition. The classical clinical form of DC is characterized by abnormal skin pigmentation, nail dystrophy, and oral leukoplakia. Bone marrow failure is considered to be an important and major complication of DC and the leading cause of death which develops in around 85% of cases. A number of genes involved in telomere maintenance are associated with DC, such as genes that encode the components of the telomerase complex (TERT, DKC1, TERC, NOP10, and NHP2), T-loop assembly protein (RTEL1), telomere capping (CTC1), telomere shelterin complex (TINF2), and telomerase trafficking protein (TCAB1). Mutations in TINF2 have been reported in 11–20% of all patients with DC and have been associated with bone marrow failure. Here we report on a 19-month old boy with very early presentation of bone marrow failure as a first clinical manifestation of DC. Upon first admission, the patient presented with thrombocytopenia and macrocytic anemia. Soon after, his blood counts deteriorated with the development of pancytopenia and aplastic anemia. Four months later, he developed nail dystrophy and skin hyperpigmentation. A de novo heterozygous pathogenic variant c.845G>A, p.(Arg282His) was located in exon 6 of TINF2 gene and was identified via clinical exome sequencing. The findings confirmed the diagnosis of DC. This is the first case with DC due to TINF2 pathogenic variant reported in North Macedonia.
Single-Nucleotide Polymorphisms in Exonic and Promoter Regions of Transcription Factors of Second Heart Field Associated with Sporadic Congenital Cardiac Anomalies
Authors: Wang E , Fan X , Nie Y , Zheng Z , Hu S
Published: June 2022

Multiple second heart field (SHF) transcription factors are involved in cardiac development. In this article we evaluate the relationship between SHF transcription factor polymorphisms and congenital heart disease (CHD). Ten polymorphisms were used for genotyping, and three of these were used for the luciferase assay. The risk of CHD was increased 4.31 times and 1.54 times in the C allele of GATA5: rs6061243 G>C and G allele of TBX20: rs336283 A>G, respectively. The minor alleles of SMYD1: rs1542088 T>G, MEF2C: rs80043958 A>G and GATA5: rs6587239 T>C increased the risk of the simple types of CHD. The minor alleles of GATA5: rs41305803 G>A and MEF2C: rs304154 A>G increased the risk of tetralogy of Fallot (TOF). The minor alleles of TBX20: rs336284 A>G and SMYD1: rs88387557 T>G only increased the risk of a single ventricle (SV). Luciferase assays revealed that the minor alleles of rs304154 and rs336284 decreased the transcriptional levels of MEF2C and TBX20, respectively (p<0.01). When combined with HLTF, the G promoter showed a higher expression level than the A promoter in rs80043958 (p<0.01). Our findings suggest that minor alleles of SNPs in the exonic and promoter regions of transcription factors in the SHF can increase the risks of sporadic CHD.
48,XYYY: A Rare Case Report
Authors: Sabnis AS , Bhusare D
Published: June 2022

A case study of a 4 year old child with hypospadias and cryptorchidism on the right side is presented. Combined analysis by Karyotype and FISH showed a mosaic pattern of 48, XYYY (73%); 47,XYY (7%); 46,XY (7%) and 45,X (13%). Apart from hypospadias and cryptorchidism there were no significant phenotypic changes observed. Inheritance of this clonal abnormality was ruled out as the karyotype patterns of the child's father and brother both showed a normal karyotype. For further management, genetic counseling, and the correction of hypospadias and the undescended testis were recommended.
Probabilistic Liquefaction Analysis Using Standard Penetration Test
Authors: Kamel Filali , Badreddine Sbartai
Published: June 2022

The Youd etal liquefaction resistance curves developed in 2001 to characterize the cyclic resistance of soil based on SPT test are the most used in the context of the Seed and Idriss simplified procedure as a deterministic model. These curves were developed from a modified database of Seed etal. in 1985 with the assumption that the actual peak shear stress (τd) induced at depth h is always less than that predicted by the simplified procedure (τr) of Seed and Idriss (rd= τd/τr<1). By using a suite of equivalent linear site response analyses to adjust the dynamic and the simplified shear stress at depth h, Filali and Sbartai showed in 2017 that the dynamic peak shear stress for some earthquakes is greater than the simplified peak shear stress (rd>1). As in this case, the assumption of the simplified procedure is not verified, Filali and Sbartai have proposed a corrector factor (RC) in the range where rd
>1 to adjust the deformable and rigid body. In this paper, we will present a probabilistic study for the evaluation of the liquefaction potential using a database based on SPT measurement compiled after the Chi-Chi Taiwan earthquake, in which the cyclic stress ratio is evaluated using the proposed corrector factor. The objective of this study is to present a probabilistic shape of the cyclic resistance ratio (CRR) curves based on the original simplified method of Seed and Idriss and the corrected version and a new formulation for computing the probability of liquefaction.
CONCENTRATION OF CLOVE POWDER (Syzygium aromaticum) IN MEAT SLINING AND ITS EFFECT ON BROILER MEAT CHARACTERISTICS
Authors: M.L. BERAHUN , LINDAWATI S. A. , MIWADA I N. S.
Published: June 2022

This study aims to determine the concentration of clove powder (Syzygium aromaticum) in meat slimming and the effect of the characteristics of broiler meat. The research was conducted in November 2019 - January 2020 at the Laboratory of Animal Product Technology and Microbiology, Faculty of Animal Husbandry, Udayana University. This study used a completely randomized design (CRD) with 4 treatments and 3 replications. The four treatments were: (P0) chicken meat without clove powder coating, (P1) chicken meat coated with 0,25% clove pow- der, (P2) chicken meat coated with 0,50% clove powder, (P3) chicken meat coated with powder cloves 0,75%. The variables observed were pH , water content, water binding capacity and total bacteria. The results showed that the broiler meat coated with clove powder in treatment P0, P1, P2, and P3 obtained pH of 5,04 - 4,83; moisture content 68,97% - 74,45%; water holding capacity 67,90% - 69,16%; and total bacteria 5,00x106cfu/g – 2,00x104cfu/g. The conclusion of this study indicated that clove powder with a concentration of 0,75% was able to be a natural preser- vative for broiler meat with a characteristic pH 4,83; water content 74,45%; water holding capacity 69,16%; and total bacteria 2,00x104cfu/g.
EFFECT OF LONG MARINADE WITH CINNAMON POWDER (Cinnamomum burmannii) ON TPC AND PHYSICAL QUALITY OF BALI BEEF
Authors: G. A. FIRDAUS , SRIYANI N. L. P. , OKA A. A.
Published: June 2022

This study aims to find out the effect of marination time with cinnamon powder (Cinnamomum burmannii) on the total plate count and physical quality of bali beef. This research was conducted in October - November 2020 at the Laboratory of Animal Product Technology and Microbiology, Faculty of Animal Husbandry, Udayana Univer- sity. The research was conducted using a Complete Randomized Design (CRD) with 4 treatments and 4 replications. The four treatments were: beef marinated using cinnamon powder for 0 hours (P0), beef marinated using cinna- mon powder for 4 hours (P1), beef marinated using cinnamon powder for 8 hours (P2), and beef marinated using cinnamon powder for 12 hours (P3). The variables observed were total plate count and physical quality of meat (pH, water holding capacity, cooking loss, drip loss, and color). The results showed beef marinated using cinnamon powder as much as 5% with a marination duration of 0, 4, 8, and 12 hours obtained from a total plate count of 1,2 × 106 cfu/g – 1,9 × 106 cfu/g; pH 4.74 - 4.46; colors 3.00 - 1.50; WHC 26.49% - 21.91%; cooking loss 36.13% - 40.22%; drip loss 3.85% - 5.38%. Long marination time using cinnamon powder has not been able to reduce the TPC of bali beef. The exact length of marinade seen from the physical quality was 4 hours because the physical quality of the meat has not decreased significantly. The 12 hour marination time could decrease the physical quality of bali beef when viewed from the pH, cooking loss, drip loss, and color.
ANALYSIS OF MARKETING EFFICIENCY OF BALI PIGS IN NUSA PENIDA DISTRICT
Authors: M. I. SAFITRI , B. R. T. PUTRI , SUKANATA I W.
Published: June 2022

Penelitian ini bertujuan untuk mengetahui saluran pemasaran babi bali di Kecamatan Nusa Penida, peran dan fungsi lembaga pemasaran, besarnya marjin pemasaran serta efisiensinya secara ekonomis. Lokasi penelitian di- tentukan secara purposive sampling yakni di Kecamatan Nusa Penida, Kabupaten Klungkung. Analisis data yang digunakan adalah analisis deskriptif kuantitatif, analisis saluran pemasaran, analisis marjin pemasaran, farmer’s share dan efisiensi pemasaran. Hasil penelitian menunjukkan bahwa di Kecamatan Nusa Penida terdapat 4 pola saluran pemasaran babi bali dengan 2 lembaga pemasaran yang teridentifikasi antara lain pedagang besar Nusa penida dan pedagang besar dari luar Nusa Penida. Dari hasil analisis dapat dinyatakan bahwa margin pemasaran tertinggi adalah pada saluran pemasaran III yaitu sebesar 55,6% dan terendah pada saluran pemasaran II sebesar 28,6%, tingkat farmer share tertinggi adalah 100 % yaitu saluran pemasaran I, yang terendah adalah pada saluran pemasaran III yaitu sebesar 44,44%, dan efisiensi pemasaran babi bali di Kecamatan Nusa Penida adalah efisien.
EVALUATION AND SELECTION OF ALFALFA MUTANT RESULTS OF GAMMA RAY IRRADIATION ON ABIOTIC STRESS
Authors: D.N. HARIANJA , KARTI P.D.M.H. , PRIHANTORO I.
Published: June 2022

Alfalfa is a leguminous protein source with high nutritional value and economic value. Abiotic stress inhibits growth and reduces alfalfa production in many aquaculture systems. New varieties were developed by gamma-ray mutation induction. The selection was carried out to obtain superior abiotic stress-tolerant plants. This study aims to evaluate and select alfalfa mutants under abiotic stress conditions. The design used in this study was a comple- tely randomized design (CRD) with a factorial pattern. The first factor is the type of acid-tolerant mutants, namely A44, A54, A35, and A45. The second factor is the PEG level which is 10%, 15%, and 20%. The variables observed included viability, plant height, number of leaves, leaf wilting, leaf color, media shrinkage, and wet weight. Alfalfa mutants resulting from acid-tolerant gamma irradiation were evaluated under dry stress conditions. The results showed that mutation induction resulted in various responses to growth. Gamma-ray irradiation produces plants that are tolerant to abiotic stress conditions. From the selection results obtained superior mutant candidates that are tolerant of acid stress and dry conditions. The A44 mutant had better tolerance to dry stress than others and became an acid- and dry-tolerant alfalfa mutant.
PEMBUATAN GAME 2D PLATFORM “BOLA” BERBASIS WEBSITE
Authors: Anthony Anthony , Pragantha Jeanny , Haris Darius Andana
Published: June 2022

This game was created using Unity game engine with C# as its programming language. The goal of this game is to complete all the stages with lowest time. This game got 3 characters: red ball, hardened ball and smollie ball. At each stage, player will face obstacles such as spike, spike ball, and hidden spike. Testing is done by blackbox testing, alpha testing by the supervisor, and beta testing by 38 respondents through a questionnaire. The test results show that game Bola can make players enjoy it and encourage them to play again.
PENERAPAN ALGORITMA C4.5 UNTUK KLASIFIKASI MAHASISWA PENERIMA BANTUAN SOSIAL COVID-19
Authors: Barito Eugenius Edsel , Beng Jap Tji , Arisandi Desi
Published: June 2022

Dengan adanya pandemi Covid-19 yang mempengaruhi kondisi sosial-ekonomi masyarakat, banyak mahasiswa yang berkuliah di Universitas Tarumanagara membutuhkan bantuan sosial agar dapat memenuhi kebutuhan hidup. Pembuatan aplikasi ini bertujuan untuk membantu melakukan proses klasifikasi mahasiswa Universitas Tarumanagara yang termasuk calon penerima bantuan sosial Covid-19. Karena terbatasnya jumlah bantuan yang dapat diberikan kepada mahasiswa maka dari itu akurasi data penerima bantuan sosial diperlukan agar penyaluran bantuan sosial dalam upaya mengatasi dampak pandemi Covid-19 bisa tepat sasaran sehingga para mahasiswa bisa mendapatkan bantuan secara adil. Parameter atau kriteria yang digunakan untuk klasifikasi mahasiswa penerima bantuan sosial Covid-19 adalah status kondisi finansial, Jumlah anggota keluarga, status kepemilikan tempat tinggal, Status pekerjaan kepala keluarga atau penanggung biaya hidup calon penerima bantuan, dan Status kesehatan calon penerima dan keluarganya terkait dengan Covid-19. Metode yang digunakan untuk mengolah data mahasiswa adalah pohon keputusan dengan Algoritma C4.5. Dengan mengumpulkan 500 data mahasiswa Universitas Tarumanagara digunakan 400 mahasiswa sebagai data pelatihaan dan 100 mahasiswa sebagai data pengujian dan hasil dari lima kali percobaan pengujian data tersebut menunjukkan bahwa aplikasi ini sudah berfungsi dengan baik dalam mengklasifikasi mahasiswa calon penerima bantuan sosial dengan rata-rata accuracy sebesar 89%, precision sebesar 90.16%, dan recall sebesar 83.27%.
PENGGUNAAN APRIORI PADA REKOMENDASI PAKET MENU DAN DILENGKAPI FITUR CHATBOT
Authors: Sianipar Yosua Pandapotan , Mawardi Viny Christanti , Sutrisno Tri
Published: June 2022

The growth of the food and beverage industry is the pillar of national and manufacturing economic growth. At present the food and beverage sector continues to be excellent, especially in the tourism industry sector which develops culinary tourism. In the sale of food and beverages in the world of tourism, it is made to attract the attention of consumers by making promotional packages. This promotional package aims to attract buyers to want to buy products from a restaurant. One way to make a promotion is by using association rules. Association rules are the results that will issue a combination of numbers from each transaction data. This was done to help increase the sales of Ling Ling Restaurant. To find the results of association rules whose combinations are used for promotion, here we use the Apriori method. The results that come out will be in the form of a food or drink menu that has been combined into two, three, or more according to the number of association rules that came out by going through the Apriori method. The results of the association rules that come out later will be displayed on the chatbot display contained in the program. The chatbot here will display the results of the association rules obtained using the Apriori method and also display several question options using questions that have been created in the chatbot.
HUMAN ACTIVITY RECOGNATION DARI REKAMAN VIDEO PENGAWAS DENGAN METODE YOLO
Authors: Yudistira Harry Ronaldo , Lina Lina
Published: June 2022

Advances in technology today, so that human work can be helped easily by using machines. One of the jobs that can be time-consuming is supervising. The supervision carried out requires human labor to oversee the events and activities recorded on CCTV cameras. With the development of technology, conducting surveillance is now easier. By utilizing video recordings containing activities, the design made can produce a program that can detect Sitting, Standing, Studying, Raising Hands, and Clapping activities. These detections can then be summarized into an activity logbook along with the time the activity occurred. The system is made using Python and the You Only Look Once (YOLO) method. The program is expected to be able to accurately detect activities with the specified classes. The results show that the YOLO method can find objects and their activities using the internet dataset and IP Camera dataset which produces the highest mean Average Precision (mAP) of 86.85% for the internet dataset and 99.96% for the IP Camera dataset. And the test results on the best model show an accuracy rate of 80.6% for the internet dataset and 98% for the IP Camera dataset.
PENGGUNAAN METODE SUPPORT VECTOR MACHINE UNTUK KLASIFIKASI SENTIMEN E-WALLET
Authors: Filemon Bryan , Mawardi Viny Christanti , Perdana Novario Jaya
Published: June 2022

In Google Play Store there are lots of application ready to be explored and downloaded. Google Play Store is a place where many developers can sell applications that they have made. Apart from being a place for searching and downloading applications, Google Play Store can also be used to conduct a research. E-Wallet is one of a technological development that can be used to do many transactions. Doing transaction with e-wallet can be done anywhere you want. E-wallet in Indonesia is growing very rapidly especially in the present time where covid-19 is growing rapidly. This is one of the reasons why many people now using e-wallet for doing transcations. Many interesting promotions that were given is also one of the reason why people start using e-wallet. This research had the objective to visualize  people’s emotion on e-wallet based on user opinion in Google Play Store. The research stage starts from scrapping data from Google Play Store, preprocessing data, classification with Support Vector Machine, evaluation with confusion matrix. Data were scrapped from google play store using google_play_scrapper API. This research uses OVO review of 500 data, DANA review of 500 data, LinkAja review of 500 data. The classification results will then be evaluated using a confusion matrix. The highest accuracy results will be used as a model for the classification stage. The classification results will be displayed in the form of tables and pie charts that describe the percentage results of sentiment classification.
KLASIFIKASI CITRA IKAN MENGGUNAKAN CONVOLUTIONAL NEURAL NETWORK
Authors: Elvin Elvin , Lubis Chairisni
Published: June 2022

Fish Image Classification Using Convolutional Neural Network is an application that helping classification process. The application is used by user for knowing an information about what is the name of fish species from image that visitor captured. The application is designed by Python programming language. Method of designing the application using System Development Life Cycle. The method used in training model is Convolutional Neural Network, Data used in training process are the species data set is more than 10 species and each species is more than 1000 images, The data collected has been divided into training data and test data. In training process, Fish Image Classifiation Program produce a train loss value of 0.189203, validation loss value of 0.033459 and accuracy value of 0.991029. The evaluation process is carried out using a Confusion Matrix where the diagonal data is the correct prediction data, while the other data is the wrong prediction. By evaluating the Confusion Matrix, predicted accuracy reaches 99.1%precision and recall is 0.98. The resulting accuracy is very good accuracy so that it can predict the image inputted by the user accurately.
PEMBUATAN GAME TOWER DEFENSE “DEFKNIGHTS” PADA WEB
Authors: Sulistiyo James Feriady , Pragantha Jeanny , Haris Darius Andana
Published: June 2022

“DefKnights” is a three-dimensional game that can be accessed using internet browser with the address https://galeri.fti.untar.ac.id/gamedevuntar/defknights/. This game was developed with Unity Game Engine. The player will build towers to defeat enemies. Testing methods was done by Blackbox testing, Alpha testing, and Beta Testing by survey form given to 30 respondents. Testing results show that “DefKnights” is an interesting game with an easy-to-understand gameplay.
Pembuatan Game Hack-and-Slash dengan Deck Building 2D “Need More Gold”
Authors: Liman Harley Leo , Pragantha Jeanny , Haris Darius Andana
Published: June 2022

“Need More Gold” is a hack-and-slash dan deck-building game build for PC platform. Player will play as a boy exploring an abandon castle. “Need More Gold” use keyboard as the main control to move the character, cards dan consumables. In this game, players will play as a character who will explore an old castle and search for abandoned treasures. Players will fight many monsters, collect objects to defeat existing bosses until the player finally reaches the deepest part of the castle and finds the treasure. This game created by Unity game engine with C# as the programming language. Testing has been done by Black Box Testing, Alpha Testing by lecturer and Beta Testing by sharing and filling questionaires to 30 respondents. The result is the game has normal difficulty level for people who have played at least one of the genre and hard difficulty level for those who haven’t played before.
CUSTOMER RELATIONSHIP MANAGEMENT MENGGUNAKAN METODE LEAST SQUARE DAN RFM K-MEANS BERBASIS WEBSITE
Authors: Setyaputra Gabriel Ivan , Mulyawan Bagus , Lauro Manatap Dolok
Published: June 2022

Persaingan di dunia bisnis semakin ketat dalam persaingannya, yang membuat tiap perusahaan berniat keras untuk menciptakan strategi bisnis yang bisa bersaing dengan tekanan kompetitor. Melihat kenyataan yang ada, dengan adanya kemajuan teknologi yang semakin pesat maka aplikasi Customer Relationship Management dapat menjadi solusi dalam memelihara hubungan yang baik dengan pelanggan.Aplikasi CRM ini dibuat sebuah fitur peramalan pendapatan sales tahunan yang dapat membantu perusahaan dalam menentukan strategi bisnis kedepannya. Perlu digaris bawahi bahwa proyeksi atau prediksi pendapatan harus berdasarkan kebenaran fakta yang diambil dari data penjualan dari masa lalu sehingga data yang di prediksi adalah data yang baik dan akurat. Dalam aplikasi yang dibuat saat ini, metode yang akan digunakan adalah metode Forecasting Least Square. Dari hasil Mean Absolute Percentage Error (MAPE) rata-rata error sebesar 19.27% berdasarkan data 2015 – 2018 untuk memprediksi tahun 2019-2020.juga dibuat sebuah fitur klustering yang bertujuan untuk mengelompokkan data setiap pelanggan dalam waktu per tahun ke dalam model Recency, Frequency dan Monetary Value dengan metode K-Means. Dari hasil perhitungan diperoleh nilai Davies Bouldin-Index (DBI) sebesar 0.410372 yang dapat disimpulkan bahwa klustering terhadap pelanggan terbentuk dengan baik.
PENGIMPLEMENTASIAN OCR MENGGUNAKAN CNN UNTUK EKSTRAKSI TEKS PADA GAMBAR
Authors: Wijaya Ivan , Lubis Chairisni
Published: June 2022

OCR merupakan sebuah sistem yang digunakan untuk mengekstraksi tulisan yang terdapat pada sebuah gambar sehingga dapat mempercepat proses input data. Sistem OCR merupakan sebuah sistem yang terdiri dari 2 proses yaitu pendeteksian teks dan pengenalan teks. Pada perancangan ini, digunakan 2 model CNN untuk melakukan pendeteksian dan pengenalan teks. Digunakan CNN dengan struktur Feature Pyramid Network yang menggunakan Backbone VGG19 untuk mendeteksi lokasi teks pada gambar. Untuk mengenali teks pada gambar akan digunakan CNN dengan LSTM untuk melakukan pengenalan teks pada area gambar yang telah terdeteksi. Kedua CNN dilatih ddengan menggunakan dataset ICDAR 2015, COCO-Text, dan ICDAR 2019. Pada akhir pelatihan, didapatkan model pendeteksian teks dengan besaran F1-Score sebesar 49.18%, dan model pengenalan teks dengan besar Correctly Recognized Word sebesar 55.80%
PEMBUATAN APLIKASI E-COMMERCE BERBASIS WEB DENGAN FITUR REKOMENDASI MENGGUNAKAN METODE CONTENT-BASED FILTERING
Authors: Daniel Daniel , Mulyawan Bagus , Sutrisno Tri
Published: June 2022

Karena semakin banyaknya informasi produk yang ada pada internet, maka mengakibatkan beberapa kesulitan terhadap user. Salah satu kesulitan user adalah pencarian informasi yang diinginkan oleh user. Walaupun dengan search engine (mesin pencari) user dapat dengan mudah mencari produk yang diinginkannya, tetapi masalah baru akan muncul disaat user tidak mengetahui nama atau kata kunci yang dibutuhkan untuk mencari suatu produk. Oleh karena itulah sistem rekomendasi (recommender system) dikembangkan.Skripsi ini merupakan skripsi yang berfokus kepada sistem rekomendasinya. E-commerce disini hanya sebagai tempat pengimplementasian. Tujuan dari skripsi ini adalah untuk membantu para user yang kebingungan untuk mencari game yang ingin dimainkan tetapi tidak mengetahui judul ataupun kata kunci dari game tersebut.Metode yang digunakan pada skripsi ini adalah content-based filtering¬. Metode ini menggunakan konten seperti judul, deskripsi atau genre sebagai data awal untuk melakukan rekomendasi. Pada skripsi ini, genre game digunakan sebagai konten untuk menjalankan metode content-based filtering. Jadi, rekomendasi yang ada pada skripsi ini berdasarkan dari kemiripan genre game. Dari metode ini dibentuklah sistem rekomendasi yang diimplementasikan ke dalam e-commerce game sebagai salah satu fitur yang ada.Hasil dari rekomendasi ada pada website e-commerce game dalam halaman recommendation. Pada halaman recommendation berisikan game-game hasil rekomendasi dari game pilihan user pada saat registrasi dan game pada library user.
SCREENING REKSADANA DENGAN PERHITUNGAN ESTIMASI RETURN MENGGUNAKAN METODE ROI
Authors: Mulyawan Bagus , Lauro Manatap Dolok , Cahyady Hendrawan
Published: June 2022

Aplikasi yang dibuat merupakan aplikasi untuk otomatisasi proses screening reksadana pada sebuah perusahaan. Perusahaan tersebut merupakan perusahaan yang bergerak didalam bidang pengelolaan dana pensiun. Aplikasi yang dibuat berfungsi untuk memudahkan pengguna dalam melakukan screening data instrument reksdana yang sangat banyak sehingga data menjadi tersentralisasi di dalam satu aplikasi. Aplikasi dibuat berbasis website menggunakan bahasa pemorgraman C#, untuk sistem basis data menggunakan SQL server, serta untuk tampilan menggunakan html,css dan boostrap. Aplikasi ini memudahkan pengguna melakukan screening reksdana hingga pembuatan laporan berdasarkan hasil screening.
E-COMMERCE BLESSED PARTY DENGAN SISTEM REKOMENDASI APRIORI DAN COLLABORATIVE FILTERING
Authors: Delya Delya , Mulyawan Bagus , Lauro Manatap Dolok
Published: June 2022

Evolusi internet yang beriringan dengan pesatnya perkembangan teknologi informasi membawa banyak pengaruh ke dalam kehidupan, salah satunya adalah dengan kemunculan perdagangan secara elektronik atau e-commerce. Kemudahan perdagangan digital ini membuat banyak pebisnis mulai beralih dari bisnis konvensional ke bisnis digital dengan pemanfaatan e-commerce sehingga persaingan ketat di internet juga mulai muncul. Maka dari itu, pada kesempatan ini akan dibangun sistem aplikasi penjualan online bagi Blessed Party dengan kelebihan fitur rekomendasi yang dibuat menggunakan metode Apriori dan Collaborative Filtering. Perancangan aplikasi dilakukan untuk memudahkan transaksi antar pembeli dan penjual pada toko Blessed Party. Data yang digunakan dalam perancangan ini merupakan data transaksi dan rating produk yang diambil dari riwayat penjualan Blessed Party selama tahun 2020 melalui platform sebelumnya, Shopee dan Tokopedia. Uji coba pada metode Apriori dilakukan sebanyak 3 kali untuk menemukan aturan asosiasi terkuat serta meneliti parameter minimum support yang dimasukkan. Uji coba metode Collaborative Filtering dilakukan sebanyak 3 kali juga untuk menilai kestabilan akurasi dari metode tersebut dengan menggunakan mean absolute error (MAE) yang didapatkan hasilnya stabil mendekati angka 0 sebanyak 3 kali dan menghitung nilai precision dan hasil yang didapatkan sebesar 0.7 di mana hal ini berarti metode tersebut efektif untuk memberikan rekomendasi.
Sistem Pengenalan Plat Nomor Kendaraan Menggunakan Mask RCNN dan CNN
Authors: Mesakh Anthony
Published: June 2022

Plat nomor kendaraan adalah sebuah objek yang berfungsi sebagai tanda pengenal dari sebuah kendaraan. Plat nomor kendaraan dapat digunakan untuk mengidentifikasi sebuah kendaraan secara unik. Sistem yang dapat mengenali plat nomor kendaraan secara otomatis dapat digunakan dalam berbagai macam skenario. Misalnya untuk sistem parkir kendaraan dimana lama kendaraan berada di dalam lapangan parkir dapat ditentukan secara otomatis melalui waktu masuk dan keluar kendaraan. Ataupun pada sistem keamanan dimana plat nomor kendaraan seorang kriminal dapat dideteksi secara otomatis melalui sistem yang dapat memberitahu pihak berwenang secara otomatis. Untuk dapat mengembangkan sistem yang bisa mengenali plat nomor kendaraan secara otomatis, digunakan metode Mask R-CNN dan juga CNN.Dari 2 model program yang diuji, yaitu model cepat dan akurat, sistem mendapatkan tingkat akurasi 73,8% dan 74,2% untuk keseluruhan karakter dalam plat nomor. Hal ini juga merupakan peningkatan dari hasil penelitian sebelumnya dimana segmentasi karakter membutuhkan keadaan yang sangat spesifik agar bisa mendapatkan hasil yang baik[1].
SPK REKRUTMEN MENGGUNAKAN METODE SIMPLE ADDITIVE WEIGHTING BERBASIS WEBSITE
Authors: Lucas Lucas , Pragantha Jeanny , Lauro Manatap Dolok
Published: June 2022

Employees are one of the most important elements in a company. So companies must be more selective in hiring the employees, because progress in a company can also be determined by the attitude of the employees. When recruiting employees, it is likely for the company to make the wrong decision especially when there are a lot of applicants.Therefore, a decision support system was created to provide better recommendations in recruitment process. The system uses Simple Additive Weighting (SAW) method which is one of the Fuzzy Multiple Attribute Decision Making Methods. The data used in this system is a combination between real data from PT. Jasa Cepat Internasional and dummy data.The application of the Simple Additive Weighting method is able to provide the recommendation results from predetermined criteria. The level of accuracy using Simple Additive Weighting method is also very accurate at 100%.
PEMBUATAN GAME 2D HORROR “BLACK, WHITE, AND …” DENGAN PLATFORM WINDOWS
Authors: Kevin Kevin , Pragantha Jeanny , Haris Darius Andana
Published: June 2022

"Black, White And ..." is a 2D Horror game with a sub-genre psychological horror game developed for Windows PC. This game was made using Unity as the game engine with C# as the programming language. In this game, the player will play as an amnesiac girl who has just awoken. The goal of this game is to search for a way out from the strange black and white world. The player will have to survive from the enemy and traps with the ability to move from the black world to the white world and vice versa. to ward the enemies, the player had to scream. The game has implemented a Voice Recognition feature to differentiate between scream or not scream.  The testing has been done by using blackbox testing, alpha testing, and beta testing method. The test results show that most of the respondents experience a sense of fear and tension as well as the intention to play the game again.
PERANCANGAN SISTEM PENUNJANG KEPUTUSAN PENCARIAN JARAK TERPENDEK MENUJU RUMAH SAKIT DAN PUSKESMAS DENGAN METODE DIJKSTRA
Authors: Senabudy Stefan , Arisandi Desi , Sutrisno Tri
Published: June 2022

Advances in technology and information offer various conveniences and alternatives in every activity and community activity. There are various types of activities and community activities that do not escape the role of technology and information. Of course, this makes it easier for the community to make decisions in every activity and activity. In fact, in determining the fastest route, people are faced with a choice of available routes and are required to make the right decision regarding the alternative shortest route. One of them is in determining the route/path to hospitals and health centers. To take the shortest route/path, you can use public transportation, such as buses, which are often the people's choice compared to other modes of transportation. The existence of hospitals and health centers is very important because they can help treat people who are sick and provide 24-hour Emergency Unit (ER) services. In particular, immigrants who still don't know where the hospitals and health centers are and have to take which route is closer to where they are. Dijkstra's method is very effectively used to map alternative paths, if the main route experiences obstacles. In addition, it can be used to solve the problem of the shortest route/path and maximum flow, the elements (weights) of the route are the distance traveled and the cost. Dijkstra's method does not solve the problem of negative lines and only looks for the minimum value from one node to another that is related to each other. In its implementation, the Dijkstra method can use dynamic or changing data.
PERANCANGAN SISTEM PENJUALAN BERBASIS WEB PADA TOKO SMART JAYA PHONE
Authors: Reinaldi Reinaldi
Published: June 2022

Pada zaman yang modern ini smart phone sangat dibutuhkan  untuk memenuhi kebutuhan sehari-hari seperti bertukar informasi dan lain-lain. Maka dari itu bisnis penjualan smartphone sangat menguntungkan. Namun dalam penjualan ini dibutuhkan system informasi untuk menyimpan, mendata dan juga menjaga data customer, transaksi dan juga produk. Maka dari itu dibuat lah aplikasi web yang dapat memenuhi fungsi dari toko tersebut. Untuk metode perancangannya digunakan metode waterfall karena sesuai dengan kebutuhan Analisa. Dan untuk pembuatan aplikasi digunakan, Php dengan framework flutter  dan CodeIgniter. Dan databasenya menggunakan mysql. Juga di dalam aplikasi terdapat fungsi forecast untuk membantu pengadaan barang dengan menggunakan metode Single Exponential Smoothing agar mendapatkan nilai peramalan.Di dalam aplikasi yang sudah dibuat dibagi menjadi tiga User  yaitu Admin yang dapat melakukan pengadaan barang dan retur barang Kembali kepada supplier, juga ada kasir yang dapat melakukan penjualan kepada Customer, dan terakhir ada Owner yang dapat mengakses laporan dari Admin dan Kasir.
SISTEM INFORMASI PENGOLAHAN DATAAKADEMIK SISWA BERBASIS WEB PADA SMA BUDI AGUNG
Authors: Albert Albert , Wasino Wasino , Rusdi Zyad
Published: June 2022

The information system application program used by Budi Agung High School to process student academic data to store all school academic data so the data will be stored neatly in the database so it will be easy to access easily, quickly, precisely, and accurately. This website also has a decision support system that can helping schools in prospective scholarship program with the Simple Additive Weighting selection method. This website is well designed using PHP programming language and uses MySQL and phpMyAdmin as database. The testing using whitebox method. The method used in developing software is the Rapid Application Development method. The results obtained are SMA Budi Agung uses a website-based application program to obtain information about student data, teacher data, class data, announcement data, grade data, attendance data, and schedule data in the form of reports. Admin also has full access rights to add, update, and delete existing data in the database.
SISTEM APLIKASI E-COMMERCE DENGAN FITUR LELANG BERBASIS WEBSITE UNTUK SUNNY COLLECTION
Authors: Noviandi Noviandi , Wasino Wasino , Lauro Manatap Dolok
Published: June 2022

Program aplikasi E-Commerce dengan fitur lelang online berbasis website untuk toko Sunny Collection bertujuan untuk mempermudah proses transaksi pemesanan dan lelang katalog[1]. Program ini di bangun dengan menggunakan Bahasa pemrograman PHP , MySQL dan HTML. Metode yang di gunakan adalah System Development Life Cycle (SDLC). Metode pengujian yang di gunakan adalah metode Black Box. Hasil akhir yang di harapkan dalam program sistem aplikasi E-commerce dengan fitur lelang ini adalah untuk dapat melakukan proses transaksi pemesanan dan lelang dengan lebih praktis. Operator juga memiliki akses penuh dalam menambah data dan mengubah data yang ada di database.
SISTEM INFORMASI PENJUALAN PAKAIAN BERBASIS WEB PADA TARGET FACTORY OUTLET
Authors: Albert Albert , Naga Dali Santun , Dewayani Ery
Published: June 2022

Website “Sistem Informasi Penjualan Pakaian Berbasis Web Pada Target Factory Outlet” aimed at helping Target Factory Outlet to expand market share and increase the credibility of Target Factory Outlet itself. The results obtained are websites with the domain name ‘targetfo.store’ which have been hosted can be accessed by website visitors. The making of the website uses System Development Life Cycle (SDLC) method which is carried out in several phases namely analysis, design, implementation, installation, testing, and maintenance. This website uses several design tools, namely Flowchart, Data Flow Diagram, Entity Relationship Diagram, Context Diagram and Relationship Between Tables. Testing this website uses Black Box Testing and User Acceptance Test(UAT) method. This website is created using HTML and PHP programming languages and uses MySQL as a Database Management Software (DBMS). The website ‘targetfo.store’ has the advantage of having goods import reports, sales reports and financial reports that can be seen by Target Factory Outlet owner.
SISTEM INFORMASI MONITORING AKTIVITAS ANAK BERBASIS WEB DAN MOBILE
Authors: Samuel Alexander , Lina Lina , Arisandi Desi
Published: June 2022

Before entering elementary school level, children will learn through PAUD (Early Childhood Education). Paud activities are various. Seeing from this PAUD activity, of  course parents need to see and monitor the activities of their children if parents cannot accompany them at school. The information system for monitoring PAUD children’s activities is expected to be able to help parens to see the children’s activities carried out while at school. This system is made using two platforms, namely web-based whose main feature monitoring children’s activities, and mobile-based to view data that has been entered from the web
SISTEM PENDUKUNG KEPUTUSAN PEMBELIAN SEPEDA MOTOR MENGGUNAKAN METODE ELECTRE
Authors: Andrew Andrew , Arisandi Desi , Lauro Manatap Dolok
Published: June 2022

This system is built to help candidate of motorcycle buyers to determine which motorcycle is fit for them depending on criteria and their needs. This system uses 9 criteria in purchasing a motorcycle and uses the ELECTRE (Elimination Et Choix Traduisant La Realite) method to produce the best alternative of motorcycle for candidate of motorcycle buyers. The result of making this system are taken based on the average score obtained from the results of the questionnaire distributed to 7 testers. The average score is 40 out of a maximum score of 50 or in percentage is  80%. The accuration of ELECTRE method applied to the system is 100%. From this score, it concludes that  application ELECTRE method in this application can quite help candidate of motorcycles buyers to determine best options of motorcycle to be purchased according to their criteria and needs