bluuebunny/crossref_metadata_2025 huggingface dataset:
PELATIHAN MENJADI DIRI REMAJA YANG HEBAT
Authors: Nurul Intan Tamara  , Rachel Dwi Ardella  , Nida Fathya , Intan Fitri Denisa Domo  , Anisa Aviva Dila
Published: August 2024

Adolescence is a period when the environment has a major influence on adolescent behavior. Even though adolescents have reached a stage of cognitive development sufficient to determine their own actions, the way adolescents determine their attitudes is heavily influenced by peer pressure. Self-knowledge is the ability of individuals, especially adolescents, to see the strengths and weaknesses that exist in them so that they can make the right response to tensions that arise from within and from outside. The purpose of the intervention he carried out was to find out the differences in selfknowledge that students had with the method based on this intervention consisting of 4 stages, namely need assessment to Counseling Guidance teachers, distribution of bullying questionnaires to students, Focus Group Discussion (FGD) with students, provide materials and games in team building. As many as 50 participants took part in the series of activities separately from the Science class which was the flagship class and the Social Sciences class. . The result of the intervention activities that have been carried out is that students feel a good perception of the aspects of thoughts and feelings in bullying
Financial Performance of Islamic Banks in Indonesia: Islamic Performance Indeks Approach
Authors: Marzukoh Aliyatun , Rahmanto Dhidhin Noer Ady , Irsyad Syaiful Muhamad
Published: August 2024

The purpose of this study was to determine the effect of the Islamicity Performance Index and Intellectual Capital on the profitability of Islamic Commercial Banks in Indonesia. The sample of this study was 7 Sharia Commercial Banks registered at Bank Indonesia and included in the Commercial Bank Business Activities (BUKU) II in 2018. This study used a multiple linear regression analysis method using Microsoft Excel 2007 and SPSS 20 software. Based on the result of testing, partial result of hypothesis showed that the variable Intellectual Capital (IC) has a positive signifivant effect on profitability of Comercial Sharia Bank in Indonesia, variable Equitable Distribution Ratio (EDR), Directors Employes Welfare Ratio (DEWR) has a positive not significant effect on profitability). Meanwhile the variable Profit Sharing Ratio (PSR) and Zakat Performance Ratio (ZPR) has a negative significant effect on profitability, and Islamic Income Ratio (IsIR) has a negative not significant effect on profitability of Comercial Sharia Bank in Indonesia. Simultaneous result of hypothesis showed that the all variable independent have positive effect on profitability, and variable dominan was Intellectual capital (IC).
The Role of Digital Villages in Tourism-Based Community Economic Empowerment Efforts in Sidomulyo Village, Silo District, Jember Regency
Authors: Sugianto Sugianto
Published: August 2024

This study aims to explain the role of digital villages in efforts to empower the community's economy in Sidomulyo Village, Silo District, Jember Regency, as well as explain BUMDes' efforts for tourism-based community economic empowerment in Sidomulyo Village, Silo District, Jember Regency. The method used is a qualitative approach to the type of descriptive research. In determining the informants researchers used a purposive technique . While data collection techniques using observation, interviews, and documentation. The results of this study are the role of digital villages in efforts to empower the economy through a process including creating a village information system (SID) by creating the MallDesa application. BUMDes' efforts to empower tourism-based community economies in Sidomulyo village, Silo sub-district, Jember district in realizing an empowerment in the Raja Raja Domba tourism are using several stages including capital assistance, infrastructure assistance, mentoring assistance, and marketing assistance.
Faktor-faktor yang Mempengaruhi Mutu Program Bimbingan dan Konseling di Sekolah
Authors: Herlina Uray , Yusuf Syamsu , Ahman Ahman , Ilfiandra Ilfiandra
Published: August 2024

This study aims to describe what factors influence the quality of the Guidance and Counseling program at the junior high school (SMP) level in Pontianak city. This study uses qualitative research methods with interview techniques as the primary tool. In addition to that, observation is carried out as a research support tool. The selection of the sample in the study used purposeful sampling. In this case, the participants in the study were School counselors who are members of the School Counselor Deliberations (MGBK) for junior high schools in Pontianak City and already have educator certificates as professional School Counselors. Data analysis was conducted qualitatively through data reduction, data display, and conclusion. The study's results concluded that two factors influenced the quality of the Guidance and Counseling program at the Pontianak City Junior High School (SMP) level. The first was internal factors, including; educational background, work experience, work motivation, and competence in managing the Guidance and Counseling program. While the second is external factors, namely leadership support, facilities and infrastructure, and cooperation with other parties.
Pengaruh Koherensi dan Fungsi Keluarga pada Kualitas Hidup saat Pandemi COVID-19
Authors: Azza Irine Irchamillah , Asiyah Siti Nur , Wardhani Puspa
Published: August 2024

Everyone, especially frontline workers, feels the impact of COVID-19. In dealing with COVID-19, the family has a role that can impact the quality of life of health workers and non-health workers during the COVID-19 pandemic; a good role for the family will result in better health services and increased work engagement. Research on workers in the non-health sector in pandemic conditions is still rare, making researchers choose to take two groups of subjects. It is hypothesized that there is an influence between family coherence and family functioning on the quality of life of the subjects, and there are differences between the two groups of subjects. This study's results indicate an influence between the family sense of coherence and family functioning on the quality of life of health workers and non-health workers during the COVID-19 pandemic (F= 38,978; p>0,05; adjusted R2=0,276). There is no difference in the level of quality of life between health workers and non-health workers (p=0,307; mean differences = 1,63; 95%CI[-1,52; 4,77]), but there were differences in other variables. The implication of this research is the need to strengthen the family base so it can become a source of coping for family members.
Supportive Dyadic Coping sebagai Moderator dalam Peran Parental Stress terhadap Kepuasan Pernikahan dalam Transisi Menjadi Orang Tua
Authors: Maharini Mutiara , Ginanjar Adriana Soekandar
Published: August 2024

The transition to parenthood has proven to be challenging and stressful for most couples. The COVID-19 pandemic has created even more hardships, creating the potential for increased parental stress and can significantly reduce marital satisfaction. It is known that parents' coping methods can affect the level of perceived stress and marital satisfaction. This study aims to examine the buffering effect of supportive dyadic coping in reducing the impact of parental stress on marital satisfaction in the transition to becoming new parents. To test the hypothesis, we conducted a study using the Parental Stress Scale (PSS), Dyadic Coping Inventory (DCI), and Couple Satisfaction Index (CSI). In Indonesia, we collected data from 112 new parents (N mothers = 90%, M age = 27.9, SD age = 2.8). The dimension of emotion-focused supportive DC was found to be significant in moderating the role of parental stress on marital satisfaction F(1, 111) = 11.21, p<0.005. In contrast, problem-focused supportive dyadic coping F(1, 111) = 26.39, p> .005 was found not to be significant in reducing the impact of parental stress on marital satisfaction. The researcher found that parental stress F(1.112) = -2.964, p<.05, significantly predicts marital satisfaction regardless of the level of supportive dyadic coping. In addition, we found that there was a direct effect of emotion-focused supportive dyadic coping on marital satisfaction with a value of β = 6.04, 95% BCa CI [2.52, 9.55], p<0.01 and a direct effect of problem-focused supportive dyadic coping with β = 6.24, 95% BCa CI [1.81, 10.66], p<0.05. The results show that in the transition to parenthood, couples must consider the importance of supportive dyadic coping to maintain marital satisfaction.
The Impact of Personality Trait on Final-Year Students’Flourishing: A Path-Analysis Approach
Authors: Mahmudah Arifah Nur , Darmayanti Kusumasari Kartika Hima
Published: August 2024

An individual’s personality influences flourishing. Therefore, this study purposed to determine the influence of personality traits on the flourishing of final-year students. This data was collected using the PERMA-Profiler and Big Five Inventory. This study was a quantitative study with a non-experimental research design. The sampling technique used purposive sampling on 300 final-year students. The data analysis method was multiple linear regression techniques assisted by the Jamovi 2.3.18. The findings showed that the significant five personality effect flourished by R2 = 32,2%. In addition, it was found that agreeableness was the most influential variable in the flourishing of final-year students, followed by conscientiousness and extraversion. On the other hand, this study confirmed that openness and neuroticism had no significant effect on flourishing. The results contributed to interventions from the university to pay attention to agreeableness, conscientiousness, and extraversion to develop flourishing in final-year students.
The Development of Adolescent Academic Self-Efficacy Instruments: Analysis of Rasch Model
Authors: Kurniati Nadiya , Rusmana Nandang , Suherman Suherman
Published: August 2024

Academic self-efficacy is part of social cognitive theory. Academic self-efficacy is an individual's belief in the ability to do a task for achieving optimal goals. The evolution of several developments of self-efficacy instruments found in Indonesia and foreign. But, the limitation of the academic self-efficacy instrument for adolescents encourages the researcher to develop the Adolescents’ Academic Self-efficacy Instrument (AASEI).Therefore, this study aims to develop the Adolescents’ Academic Self-Efficacy Instrument (AASEI) using the RASCH measurement model. The participants in this study were 656 high school seniors aged 15-18 years. The results revealed that the Adolescents’ Academic Self-efficacy Instrument (AASEI) had a good person reliability score (0.86), excellent item reliability (0.99), and a very good Cronbach's Alpha score (0.88). The results of the Rasch analysis revealed that 42 instrument items of Adolescents’Academic Self-Efficacy Instrument fulfill the requirements and can be used to measure adolescent academic self-efficacy in Indonesia.
Hubungan Academic Self-Efficacy dengan Academic Burnout pada Siswa Kelas X SMA Negeri 6 Palembang
Authors: Anshorryyah Fadhilatul , Hadinata Eko Oktapiya
Published: August 2024

A student prone to academic burnout needs good academic self-efficacy to handle various academic demands. This study discusses the correlations between self-efficacy and burnout in class X students of SMA Negeri 6 Palembang. This research is quantitative correlational. The research participants consisted of 234 students of class X SMA Negeri 6 Palembang. The result of this study is that there is a significant negative relationship (r=-0.528, p<0.05). The higher the academic self-efficacy a student has, the lower the academic burnout the student feels. Vice versa, the lower the academic selfefficacy a student has, the higher the academic burnout thought by the student. The categorization results show that, in general, the research respondents are classified as having academic self-efficacy and academic burnout at a moderate level of (X = 58.5%) and (Y=68.8%).
Peran Moderasi Usia Dalam Dukungan Sosial dan Kepemimpinan pada Anggota Organisasi Kemahasiswaan di Yogyakarta
Authors: Anggraeni Dewi Soerna , Rinaldi Martaria Rizky , Yuniasanti Reny
Published: August 2024

Indonesia Emas 2045 is a challenge for the younger generation to contribute as a future leader. Student organizations are one of the forums for building leadership in students. This study aims to determine the moderating role of age in social support and members of student organizations’ leadership in Yogyakarta. The subjects were 223 members of student organizations, a minimum of 2 months as a member. Sampling was gathered using the convenience sampling technique. Data collection was carried out using the Human Capital Sustainability Leadership (HSCL) scale and the Social Support Scale of the Online Community. Data analysis was conducted using Jamovi statistical software. The moderation analysis results showed that age significantly affects sustainability leadership (Estimation = 0.5814, SE = 0.24265, CI = [0.1059, 1.0570], Z = 2.40, p = 0.017). The older a person is, the higher the likelihood of having highly sustainable leadership. In addition, the interaction between social support and age also proved significant in sustainability leadership (Estimation = 0.0455, SE = 0.00495, CI = [0.0358, 0.0552], Z = 9.20, p < 0.001). That is, the effect of social support on sustainability leadership differs at different levels of individual age.
Hubungan Kecerdasan Emosional dan Minat Belajar terhadap Pemahaman Bencana Alam pada Siswa Sekolah Dasar
Authors: Azizah Khusnaini , Wibowo Firmanul Catur , Rosita Tita
Published: August 2024

This research aims to determine the relationship between emotional intelligence, interest in learning, and elementary school students' understanding of natural disasters in Labuan District. The research was conducted at five public schools in Labuan District, namely SDN Teluk 1, SDN Teluk 2, SDN Teluk 3, SDN Labuan 1, and SDN Cigondang 2, with a sample size of 300 students. This research uses a quantitative approach with survey methods. Hypothesis testing is carried out using multiple regression tests. The research results concluded that: 1) There is a significant relationship between emotional intelligence (X1) and understanding of natural disasters (Y) of elementary school students in Labuan District. The Sig value can prove this. = 0.000 < 0.05 and t0 = 7.269; 2) There is a significant relationship between interest in learning (X2) and understanding of natural disasters (Y) of elementary school students in Labuan District. The Sig value can prove this. = 0.000 < 0.05 and t0 = 11.202; 3) There is a significant relationship between emotional intelligence (X1) and interest in learning (X2), together with the understanding of natural disasters (Y) of elementary school students in Labuan District. The Sig value can prove this. = 0.000 < 0.05 and Fo = 551.907.
Penyesuaian Diri Santri Ditinjau dari Keterampilan Sosial dan Usia
Authors: Hasan Fadilla Rifky , Hertinjung Wisnu Sri
Published: August 2024

Islamic boarding schools are places where students learn and live while they complete their education. Students undoubtedly had difficulties in the Islamic boarding school, including the transition process. According to the preliminary evaluation findings at the Assalam Islamic Modern Islamic Boarding School, students' self-adjustment capacity is quite long. 38% of the 150 students at PPMI Assalam reported a more extended adjustment period during their early move, especially students in their first year at Islamic boarding schools. The purpose of this study is to identify the relationship between social skills and students' self-adjustment, as well as to discover age disparities in students' self-adjustment. The first hypothesis in this study is a favorable association between social skills and self-adjustment in students. The second hypothesis is that students' adjustment differs depending on their age. The subjects of this study were Islamic boarding school students from Modern Islam Assalam, and four classes were chosen randomly from a total of 22 courses. From the four completed clusters, 103 students were selected. This study employed a quantitative approach, with questionnaires provided on paper. This study's tools are the self-adjustment scale and the social skills scale. The Anacoval test was used to assess data in this study. The results showed that social skills positively correlated with self-adjustment, and age was not the main predictor of differences in students' self-adjustment.
The Relationship between Social Support of Principal and Self-compassion of School Counselors to the Performance of School Counselors
Authors: Salsabila Revitia Thalita , Istaryatiningtias Istaryatiningtias , Khuluqo Ihsana El
Published: August 2024

In this study, 115 participants were randomly chosen using a lottery system. Three research instruments, including a social support instrument with 32 valid items and a reliability coefficient of 0.769, were used to compile the study's findings on a Likert scale. Cronbach's alpha for the 26 self-compassion instrument items is 92. There were 15 legitimate elements included in the performance instrument, and its reliability coefficient was 0.878. Concurrent findings from two tests, with a Fcount of 5.203 (Fcount>Ftable) and a 0.007 significance level. These findings suggest a causal link between school counselors' social support and self-compassion and their effectiveness. The values (r) 0.437 and 0.243 with significance (p 0.007) and (p 0.009) demonstrate a favorable association between social support and performance and self-compassion to the performance, respectively. With an R2 of 0.298, we can say that social support and self-compassion contribute effectively to performance by 29.8 percent. With an adequate contribution of 21.4% for social support and just 8.4% for self-compassion, it is clear that social support has a stronger association with performance. This study found that school counselors in Central Jakarta who reported higher levels of social support and self-compassion also reported better levels of job satisfaction.
Menanamkan Nilai-nilai Hardiness pada Anak Usia Dini melalui Storytelling
Authors: Handayani Ratna Mustika , Martani Wisjnu
Published: August 2024

Someone hardworking will be able to adapt to various challenging situations. They have self-control and commitment to achieve their goals. Therefore, the values of hardiness need to be instilled in children’s early childhood to make them grow up to be individuals with high fighting spirits and be able to face difficulties and unpleasant situations. This study aims to determine the effect of storytelling on the development of hardiness traits in early childhood children. This research used an untreated control group design with dependent pretest and post-test samples. The study participants were 20 children between 5 and 6 years old. They were divided into control and experimental groups, consisting of consistent. The research used 12 colored pictures sized 21cm-14.5cm as the instruments. Those instruments were arranged based on aspects and indicators of hardiness. Data analysis used Anava mixed design, showing that storytelling could form hardiness. Children in the experimental group had a higher understanding of hardiness than children in the control group. Based on the result, the researcher suggests parents and teachers consistently instill complex values in early childhood children through storytelling.
Hubungan Religiusitas dan Perilaku Prososial terhadap Kebermaknaan Hidup Karyawan yang di PHK Selama Pandemi Covid-19
Authors: Damayanti Rika , Aksir Rahmad Purnama , Sikumbang Prisilia Laurentika Taga , Bilqisti Bela Sukma
Published: August 2024

The COVID-19 pandemic has caused employees and workers at the company to experience layoffs (layoffs) and difficulties in their lives. In interpreting his life, the individual must endure various challenges patiently and steadfastly, indicating a religious attitude. In addition to religiosity, prosocial behavior is also a factor in the meaning of life. This can be seen from the attitude of helping owned by the individual. The Covid-19 pandemic has had an impact on employees, especially psychologically. The emergence of psychological problems in individuals will impact the individual's prosocial behavior. Lack of religiosity when experiencing difficulties in life reduces the meaning of life for the individual, so individuals feel that their existence no longer has meaning and meaning. This study aimed to know the relationship between religiosity and prosocial behavior on the meaning of life in employees laid off during the COVID-19 pandemic. Quantitative methods carry out this research on each variable; a measuring instrument is a psychological scale with a Likert model. The data analysis technique used is a multiple regression analysis technique with the help of JASP 0.15.0 software. This study's results indicate a relationship between religiosity and prosocial behavior with the meaningful life of employees laid off during the COVID-19 pandemic.
Counselling Career with Artificial Intelligence: A Systematic Review
Authors: Muhammad Rifqi , Patriana Patriana , Yusrain Yusrain , Astaman Astaman , Manja Manja
Published: August 2024

This systematic review aimed to review empirical research on leftist counseling careers with AI. This research applied SLR and evaluated Scopus, PubMed, Google Scholar, and Crossref databases. The results showed n = 43 on Scopus, n = 3 on PubMed, n = 70 on Google Scholar and n = 3000 on Crossref. After PRISMA analysis, n = 14 studies were included in the review. Studies examining career counseling with AI: (Carson et al., 1999; Crowley, 1992; Guleria & Sood, 2023; Hendahewa et al., 2006; José-García et al., 2022; Joshi et al., 2020; Lee et al., 2018; Liu, 2023; Nazareno et al., 2019; Suresh et al., 2021; Westman et al., 2021a; Yan et al., 2019; Zhang et al., 2022; Zhang & Zheng, 2022). The manuscripts' publication years also varied: 1992, 1999, 2006, 2018, 2019, 2020, 2021, 2022, and 2023. This study was conducted in Namibia, the USA, the UK, China, Romania, India, Sri Lanka, the Philippines, South Korea, and Finland. System: computer algorithm, artificial neural network, AIED, C3-IoC, Facebook Messenger, iAdvice, and online career counselor system (Chatbot and machine learning). Objectives: career prediction, career matching with companies, career selection, career guidance, and career decision-making. Requirements: AI supports students in study and career planning, self-management, and accessible and timely advice, whether delivered by AI or humans. AI is a technical subject with personal, career, and social implications; it is essential for developing academic and professional thinking and career planning in the AI era.
Hubungan antara Regulasi Emosi dengan Kecenderungan Self-Injury pada Remaja di Kabupaten Sorong
Authors: Ningrum Ayu Reksanti Mutiara , Wahyuni Nengsih Sri , Ekayani Syafira Putri
Published: August 2024

Emotion regulation is a person’s ability to recognize, manage, and evaluate a person’s emotions. Self-injury is an activity that takes out negative feelings within a person to hurt oneself. This research aims to find out whether there is a relationship between emotional regulation and the tendency to self-injury in adolescents in Sorong Regency. This research used a correlation quantitative approach with 15 students as subjects. The method for taking subjects used the snowball technique with the Pearson Product Moment data analysis technique. The data obtained was analyzed using statistics from the SPSS (Statistical Program for Social Science) for Windows Release version 25.0 program. Based on the result of the analysis, there is a significant negative relationship between emotional regulation and self-injury tendencies in Senior High School in the 2nd grade has a correlation coefficient value of (-0,718) with a substantial value of (sig.) 0.003 (p0.05), thus it can be concluded that the higher the emotional regulation, the lower the tendency to self-injury, and vice versa.
COMPARISON BETWEEN TRIAL ERROR METHOD AND INTEGRATION TESTING METHOD ON THE SERVICE MENU AT PT. HARTONO ISTANA TEKNOLOGI
Authors: Putra Nickolas Hadi Andara , Herawati Rosita
Published: August 2024

Here are obstacles in the process of making software at PT. Hartono Technology Palace. At that time, every time a test was carried out on the software being developed, the company would find different results. This causes ineffective and inefficient software development processes. Problems at PT. Hartono Istana Teknologi was found because of the less use of standard software testing methods. That is why the test results are constantly changing, and the software development process cannot be completed quickly. This problem can be solved by applying the software testing method. This research will try to solve the problem by using 2 methods, trial and error, and integration. These two methods will be compared to determine which method is more effective in the software testing process at PT. Hartono Technology Palace. Several test scenarios are also designed to be applied in this study. As a final result, the trial and error method is the most effective method to be applied at PT. Hartono Istana Teknologi. The trial and error method is considered effective because the testing process is more thorough and in accordance with the established concept. While in the integration method, the testing process only focuses on testing data without paying attention to existing functions
DIRECT DETECTION OF PEOPLE WEARING GLASSES USING THE HAARCASCADE CLASSIFIER
Authors: Alfons Billy Cornelio , Nugroho Robertus Setiawan Aji
Published: August 2024

In this day and age, many people wear glasses to help their eyesight or to add style to make them look more attractive. In some places it is mandatory for someone not to wear glasses for certain reasons such as someone who goes to an ATM machine not to wear dark colored glasses so that his face can be seen clearly and is better known for security reasons. In this situation it is very important for some places to be able to detect a person wearing glasses using the camera directly for some reason in order to quickly recognize the person's face more clearly. The haarcascade classification algorithm is an algorithm that can detect faces and eyes directly and quickly using a camera connected to a computer. The haarcascade that I use is the frontalface haarcascade to detect faces and the eye haarcascade to detect the eyes, and the results of the detection if the face and eyes are detected, it is certain that someone is not wearing glasses and vice versa if only a face is detected, it is certain that someone is wearing glasses. OpenCV to insert live video and processed by the library that we use. The final result that we get in this project is an image that has been captured and has been run through a dataset, namely direct video input that has been processed using haarcascade frontalface and haarcascade eye and opencv. At the top of a person's face there will be a text that explains whether the person is wearing glasses or not, and can count the number of faces and eyes of a person recorded on the camera.
SENTIMENT ANALYSIS COVID VACCINE ON TWITTER USING SVM ALGORITHM
Authors: Reta Ratna Akila , Rosita Herawati Rosita Herawati
Published: August 2024

Currently there are still many people who have not been vaccinated. many people comment on social media, especially the twitter application, to provide opinions and comments about the covid vaccine in Indonesia. In order to find out which tweets appeared including positive comments or negative comments, an analysis was carried out to find out how many negative and positive comments were by sentiment analysis. This study analyzes comments taken from the twitter application using the crawling method. Furthermore, pre-processing will be carried out such as case folding, tokenization, and stopword filtering. Then before the classification is carried out, data labeling and data split will be carried out to facilitate classification. After that, classification will be carried out using the SVM algorithm method. The final result of this research project is that there are 9981 data obtained from the crawling method. This data proves that 92.4% of Indonesians gave a neutral response to the topic of the Covid vaccine on the Twitter application. The SVM algorithm is easy to use in the implementation of sentiment analysis. And the accuracy results obtained using the SVM method are very high at 90.5%.
THE ANALYSIS OF RELATIONSHIP BETWEEN HEIGHT OF BODY AND GAIN OF MEDALS IN OLYMPICS
Authors: Wijaya Willy Tri , Herawati Rosita
Published: August 2024

The Olympics is an international sporting event held every four years and has lasted for 120 years, encompassing both summer and winter sports. The general opinion of people at the Olympics, in general, is that if short people enter a basketball competition, they won't win a medal. This study will prove whether public opinion about height affects an athlete's medal win. by using the BIRCH clustering algorithm to prove it is true or false. the data used is 120 years of Olympic history, the data taken is not completely intact, and there are missing data, the missing data will be replaced by using a deterministic regression method. The results of the research that has been done the results are that people's opinions are not entirely correct, besides the height factor other factors that affect the athlete's victory, namely the athlete's physical condition, the athlete's mental condition, and also how often athletes train to take part in the Olympics.
COMPARISON BETWEEN DEEP NEURAL NETWORK AND PRINCIPAL COMPONENT ANALYSIS ALGORITHM IN FACE RECOGNITION
Authors: Angela Nadya , Nugroho Robertus Setiawan Aji
Published: August 2024

Face recognition is one technology that is commonly used now. Therefore, various algorithms continue to be developed to obtain maximum results with minimum costs. One of them is the Deep Neural Network or DNN algorithm. While DNN requires a large dataset to train the algorithm, another algorithm called the Principal Component Analysis (PCA) algorithm works good in a smaller dataset. These algorithms are compared to know which algorithm has the better result in given circumstances. Later the accuracy, speed, and optimality of the algorithms are analyzed. By comparing these algorithms, we could know which algorithm is preferable in given circumstances. After the experiment is done, we can assume that the two algorithms have a slight difference in terms of accuracy. Also, the time used for running the PCA implementation code is slightly longer than DNN. However, that does not mean that the PCA algorithm is not great. If the dataset to be used is limited, PCA is going to be a good choice.
COMPARISON OF SUPPORT VECTOR MACHINE(SVM), XGBOOST AND RANDOM FOREST FOR SENTIMENT ANALYSIS OF BUMBLE APP USER COMMENTS
Authors: Oktafia Oktafia , Nugroho Robertus Setiawan Aji
Published: August 2024

Sentiment analysis is the process of classifying texts into positive or negative sentiments. This is a common process in natural language processing (NLP), and has applications in areas such as customer feedback, product reviews, and social media. In this paper, the authors compare the performance of three different machine learning algorithms for sentiment analysis namely the Support Vector Machine (SVM), XGBoost, and Random Forest. The author evaluates the algorithm on a collection of review data from the Bumble application which is the first rated dating application on the Google Play Store where this dating application allows users to swipe left or right on potential partners, as well as various other interesting features provided to communicate with partners. From the research results the authors found that the Random Forest achieved the best performance, with an accuracy of 85.76%. SVM and XGBoost achieved 85.58% and 84.14% accuracy respectively. The results of this study indicate that Random Forest is a good choice for sentiment analysis tasks, especially when data is limited.
PREDICTING DERIVATIVE NFT IMAGES USING CONVOLUTIONAL NEURAL NETWORK WITH THE DENSENET201 MODEL
Authors: Andyka Rhama , Santosa Yonathan Purbo
Published: August 2024

Derivative NFTs are modified versions of the original NFTs that have been altered or obtained through additional processing. This modification process may include changes in the color, appearance, composition, or content of an existing digital asset. Penelitian ini bertujuan untuk mengembangkan algoritma prediksi untuk mengklasifikasikan derivatif NFT (Non-Fungible Token) menggunakan teknik deep learning. In this context, the developed algorithm uses the DenseNet-201 architecture and involves steps such as data comprehension, data preparation, image augmentation, and the use of callbacks to stop model training when it reaches the desired level of accuracy. This study uses NFT-derived datasets collected by the researchers themselves, because there is no source that provides a large number of NFT datasets. Through experiments conducted, it is known that the use of DenseNet-201 architecture with a target size of 50x50 or 150x150 can produce a good level of accuracy, reaching 86-99%. The experimental results show that the implemented DenseNet-201 model is capable of classifying NFT derivatives with a good level of accuracy. The use of data augmentation and adjustment of certain hyperparameters also affects the improvement of model accuracy. In addition, analysis and visualization of the results were carried out using a confusion matrix to evaluate the performance of the model in classifying each NFT derived class.
COMPARISON BETWEEN CNN AND RANDOM FOREST PERFORMANCE IN DETECTING HOAX INDONESIAN NEWS ARTICLES
Authors: Pramudya Franciska Nugrahaeni Siwi , Santosa Yonathan Purbo
Published: August 2024

Hoax news is a serious problem in this era. Many people are easily led by opinions made by certain people without seeing the truth or looking for existing facts. To overcome this, many researchers have conducted hoax news detection using various algorithms. In some studies, it is said that Random Forest has better performance to overcome this hoax news problem. In other studies, it is also said that CNN has the same level of performance as the Random Forest algorithm. In addition, the problem that is often found is the error in prediction due to improper preprocessing methods. Therefore, in this research, the appropriate preprocessing method is searched by using several preprocessing scenarios for the Convolutional Neural Network (CNN) and Random Forest algorithms. Therefore, in addition to finding the right preprocessing method for each algorithm, a performance comparison is also carried out on the CNN and Random Forest algorithms using a dataset of 4000 news facts from Kompas.com and 4000 hoax news from the turnback.hoax site. the results obtained in this study are random forest has an average model accuracy value of 90% and the CNN algorithm has an average model accuracy value of 60% using the same extraction method, namely TFIDF combined with Ngrams worth one or unigram
USABILITY ANALYSIS OF STABLE DIFFUSION-BASED GENERATIVE MODEL FOR ENRICHING BATIK BAKARAN PATTERN SYNTHESIS
Authors: Septemedi Kornelius Aditya , Santosa Yonathan Purbo
Published: August 2024

The rapid development of technology today helps us in various fields of work. One of the fields that can utilize technology in helping their work is batik. Utilizing Deep Learning to manage data in the form of batik pattern images and typical bakaran batik patterns using the Generative Model method, namely Stable Diffusion which aims to produce better and more detailed batik pattern images by maintaining the original pattern of batik patterns and typical bakaran batik patterns. This research only uses datasets in the form of batik pattern images and typical bakaran batik patterns. The image data is processed augmentation first by performing the inverse on the image, resizing the image to 512x512, then randomly rotating the image, performing a random horizontal flip on the image, and performing the inverse again on the image. Pre-Training on image data to find the right parameters and conditions used in the training process. The result of this research is that the Stable Diffusion model version 1.4 and version 2.1 show good performance in processing and creating batik pattern images and batik patterns typical of Bakaran. In this study, the score calculation process for Stable Diffusion version 1.4 and version 2.1 was carried out using Inception Score and CLIP Score to calculate the images generated from the two versions. In the calculation using CLIP Score, the results obtained by version 1.4 are higher than version 2.1 for the same reason as Inception Score because the image produced by version 1.4 is more abstract. Of the two versions used is version 1.4 because the resulting image shows an abstract image that reflects a good batik pattern. Then, the version used to process batik patterns and batik patterns typical of Bakaran is Stable Diffusion version 1.4 which shows excellent performance in processing batik pattern images. The results of Stable Diffusion version 1.4 show good and abstract batik patterns in accordance with the characteristics of Bakaran batik.
JUAL BELI SALAM (PESANAN) SECARA ONLINE PADA TOKO SISY SHOP KAB. GOWA PERSPEKTIF FIQH MUAMALAH
Authors: Hasmita  , Muhammad Yaasiin Raya
Published: August 2024

Abstrak
Praktik jual beli salam (pesanan) pada toko Sisy Shop Kab. Gowa merupakan kegiatan jual beli dimana pembeli melakukan pembayaran di awal dan barangnya akan diserahkan kemudian hari sesuai dengan kepakatan. Mengenai pembayaran di awal toko Sisy Shop menerapkan sistem pembayaran yaitu dengan transfer antar bank. Rumusan masalah dalam yaitu: Bagaimana praktik jual beli salam (pesanan) pada toko Sisy Shop Kab. Gowa dan Bagaimana peirspeiktiif fiiqh muamalah teirhadap jual beilii salam (peisanan) seicara onliinei pada toko Siisy Shop Kab. Gowa. Penelitian ini merupakan penelitian lapangan (field research) dengan menggunakan metode penelitian kualitatif. Pengumpulan data pada penelitian ini menggunakan metode wawancara, obervasi dan dokumentasi. Praktek jual beli salam secara online pada toko Sisy Shop sebagian telah memenuhi rukun dan syarat jual beli salam, dan sebagian pula adanya syarat yang tidak terpenuhi yaitu akibat dari kelalaian penjual mengenai penyerahan barang kepada pembeli yang tidak tepat waktu. Sehingga menimbulkan kekecewaan dan mengakaibatkan adanya kerugian salah satu pihak. Dalam proseis jual beilii diipeirlukan seibuah iitiikad baiik seipeirtii jujur, adiil dan tanggung jawab. Adapun tanggung jawab seiorang peinjual tiidak hanya pada saat meineiriima peimbayaran teitapii sampaii barang teirseibut diiteiriima oleih peimbeilii.
Kata Kunci: Jual Beli Salam, Online, Perspektif Fiqh Muamalah
 
Abstract
The practice of buying and selling greetings (orders) at the Sisy Shop Kab. Gowa is a buying and selling activity where the buyer makes an initial payment and the goods will be delivered at a later date according to the agreement. Regarding payment at the start of the shop, Sisy Shop implements a payment system, namely by bank transfer. The internal problem formulation is: How is the practice of buying and selling greetings (orders) at the Sisy Shop Kab. Gowa and How is the perspective of muamalah fiqh on buying and selling greetings (orders) online at the Sisy Shop Kab. Gowa. This research is a field research using qualitative research methods. Collecting data in this study using interviews, observation and documentation. The practice of buying and selling greetings online at the Sisy Shop store has partially fulfilled the pillars and conditions for buying and selling greetings, and partly there are conditions that are not met, namely the result of the seller's negligence regarding the delivery of goods to buyers who are not on time. So that it causes disappointment and results in a loss to one of the parties. In the buying and selling process, good faith is needed, such as honesty, fairness and responsibility. The responsibility of a seller is not only when receiving payment but until the goods are received by the buyer.
Keywords: Buying and Selling Salam, Online, Fiqh Muamalah Perspective
ANALISIS HUKUM EKONOMI SYARIAH TERHADAP BISNIS STARTUP CROWDFUNDING SYARIAH
Authors: M. Niko Andeska  , Helda Nusrida  , Gusnam Haris
Published: August 2024

Abstrak
Bisnis Sturtup Adalah salah satu contoh perusahaan yang cukup pesat perkembangannya dan salah satu usaha yang menjanjikan untuk era digital saat ini. Pendanaan pada usaha startup menjadi langkah paling penting, bahkan problem utama kegagalan startup disebabkan oleh minim modal. Solusi pendanaan Bisnis Sturtup pada dasarnya banyak, salah satunya Crowdfunding. Bisnis Sturtup dengan pendanaan crowdfunding yang berbasis syariah saat ini sangatlah urgen, namun harus terlebih dahulu mengkaji aspek syariah yang terletak didalamnya. Esensinya prinsip syariah yang baik dapat memberikan pengaruh baik terhadap perilaku/etika dalam bisnis, seperti mengadopsi ajaran Rasulullah SAW. dalam bertijarah. Penulisan ini merupakan penelitian Deskriptif Kualitatif. Kesimpulan adalah Pendanaan pada usaha startup menjadi langkah paling penting untuk kemajuan usaha. Beberapa pendanaan startup, yaitu Pendanaan Seri, Penggalangan Dana, Pinjaman dan sebagainya. Penerapan akad syariah pada crowdfunding menyesuaikan pada jenis pendanaanya dan bisnis yang direncanakan. Konsep syariah pada crowdfunding bisa membentuk etika bisnis Islam dalam kegiatan tersebut, dengan prinsip etika bisnis dalam Islam, yaitu prinsip kejujuran, keadilan dan saling menguntungkan satu sama lain
Kata Kunci: Bisnis Startup, Crowdfunding Syariah, Hukum Ekonomi Syariah.
 
Abstract                                                                         
Sturtup Business is an example of a company that is developing quite rapidly and is a promising business for the current digital era. Funding for startup businesses is the most important step, in fact the main problem of startup failure is caused by a lack of capital. Basically, there are many Sturtup Business funding solutions, one of which is Crowdfunding. The Sturtup business with sharia-based crowdfunding is currently very urgent, but you must first study the sharia aspects contained in it. In essence, good sharia principles can have a good influence on behavior/ethics in business, such as adopting the teachings of the Prophet Muhammad. in pilgrimage. This writing is a qualitative descriptive research. The conclusion is that funding for startup businesses is the most important step for business progress. Several startup funding, namely Series Funding, Fundraising, Loans and so on. The application of sharia contracts in crowdfunding depends on the type of funding and the planned business. The concept of sharia in crowdfunding can form Islamic business ethics in this activity, with the principles of business ethics in Islam, namely the principles of honesty, justice and mutual benefit to each other.
Keywords: Startup Business, Sharia Crowdfunding, Sharia Economic Law.
HUBUNGAN ANTARA MOTORIK KASAR ANAK DAN BODY MOVEMENT DI KURSUS BACA TULIS BACAANKU KOTA JAMBI
Authors: Nurmalia Nurmalia , Nurlinda Nurlinda , Azzahra Nazila Rizki
Published: August 2024

Motorik kasar merupakan gerakan yang terjadi karena adanya koordinasi otot-otot besar, gerakan motorik kasar adalah kemampuan mengubah beragam posisi tubuh dengan menggunakan otot-otot besar. Aspek perkembangan motorik kasar selalu berkaitan dengan setiap gerakan tubuh yang anak lakukan setiap harinya. Tujuan dari penelitian ini adalah untuk mengetahui bagaimana gerakan tubuh berhubungan dengan kemampuan motorik kasar anak-anak yang berusia 4-8 tahun di Kursus Baca Tulis Bacaanku Kota Jambi. Penelitian ini menggunakan metode penelitian kuantitaif korelasi dengan pengambilan sampel secara acak. Kuesioner, observasi, wawancara, dan dokumentasi adalah metode pengumpulan data yang digunakan. dan Analisis data menggunakan korelasi Product Moment. Penelitian ini dilakukan di Kursus Baca Tulis Bacaanku Kota Jambi. Peneliti mengambil sampel 33 anak yang rentang usia 4-8 tahun. Berdasarkan hasil penelitian taraf signifikan 5% sebesar (0,349). Berdasarkan hasil tersebut dapat diketahui bahwa r hitung (0,838) > r tabel (0,349). Hipotesis alternatif (Ha) diterima dan (Ho) ditolak karena rxy lebih besar dari r table, nilai r hitung 0,838 berada di antara d 0,80 dan 1,00, yang menunjukkan bahwa nilai r hitung termasuk dalam kategori kuat. Dengan demikian, dapat disimpulkan kesimpulan dari penelitian ini adalah adanya hubungan yang kuat dan signifikan antara bodymovement dan motorik kasar anak di Kursus Baca Tulis Bacaanku Kota Jambi.
The impacts of economic growth, investment, and environmental degradation on public debt: New evidence from the ASEAN-5 countries
Authors: Sulong Amri , Esquivias Miguel Angel , Shaari Mohd Shahidan , Rahim Hafizah Abdul
Published: August 2024

This study explores the impact of environmental degradation on public debt in the largest Southeast Asian (ASEAN-5) countries. Prior research has not examined environmental degradation as a possible determinant of public debt in the ASEAN region. As such, the primary objective is to examine key determinants of public debt, notably economic growth, trade openness, investment, and environmental degradation. Utilizing the Fully Modified Ordinary Least Squares (FMOLS) method and data from 1996 to 2021, the study reveals a negative correlation between investment and public debt. Conversely, a positive relationship exists between economic growth, environmental degradation, and public debt levels. These findings hold significant implications for policymakers seeking to craft effective economic and environmental strategies to ensure sustainable development in the ASEAN-5 region. Stronger economic growth can drive up public debt. Importantly, the study highlights the importance of tailored approaches, considering each country’s unique fiscal and developmental characteristics. Applying the Two-Gap Model enhances the understanding of these complex dynamics in shaping public debt and its relationship with environmental factors.