bluuebunny/crossref_metadata_2025 huggingface dataset:
Konformitas Dengan Kohesivitas Pada Anggota Komunitas Motor City Bike
Authors: Hanafi Nur , Rini Amanda Pasca , Ariyanto Eko April
Published: October 2024

Group cohesiveness is the degree to which a group wants to always survive and retain its members, or it can be interpreted as a measure of how attractive the group is to individuals, as a sense of responsibility and pleasure with its members in the group. One of the factors that can affect group cohesiveness is conformity. This research was conducted with the aim of knowing whether there is a relationship between conformity and group cohesiveness among members of the CB motorbike community at Pesanggrahan. The method used in this research is a correlational quantitative research method. The subjects used in this study were 150 members of the Motor City Bike Community in Pasanggrahan. Measuring tools used are conformity scale and group cohesiveness scale. The research data were analyzed using the product moment correlation test with the help of the IBS SPSS 24.0 for window computer program. The results of data analysis calculations show a correlation coefficient of 0.696 with a significant value of 0.00 (p <0.05), which means that there is a very significant positive correlation between conformity and cohesiveness in members of the motor city bike community.
Kohesivitas kelompok merupakan tingkat sejauh mana kelompok ingin selalu bertahan dan mempertahankan anggotanya atau bisa diartikan ukuran seberapa menarik kelompok bagi individu, sebagai rasa tanggungjawab dan rasa senang dengan para anggotanya dalam kelompok. Salah satu faktor yang dapat mempengaruhi kohesivitas kelompok adalah konformitas. Penelitian ini dilakukan dengan tujuan mengetahui apakah ada hubungan antara konformitas dengan kohesivitas kelompok pada anggota komunitas motor CB di pesanggrahan. Metode yang digunakan dalam penelitian ini merupakan metode penelitian kuantitatif korelasional. Subjek yang digunakan dalam penelitian ini adalah anggota Komunitas Motor City Bike di Pasanggrahan yang berjumlah 150 orang. Alat ukur yang digunakan yaitu skala konformitas dan skala kohesivitas kelompok. Data penelitian dianalisis menggunakan uji korelasi product moment dengan bantuan program komputer IBM SPSS 24.0 for window. Hasil perhitungan analisis data menunjukkan nilai koefisien korelasi sebesar 0,696 dengan nilai signifikan 0,00 (p < 0,05) yang artinya terdapat korelasi positif yang sangat signifikan antara konformitas dengan kohesivitas pada anggota komunitas motor city bike.
Fear Of Missing Out Dengan Konformitas Pada Generasi Z
Authors: Iklimah Maulida , Noviekayati IGAA , Ananta Aliffia
Published: October 2024

The rapid development of technology affects Gen Z to communicate between individuals. This technological explosion gave rise to the phenomenon of fear of missing out, the fear of losing moments so that behavior emerged to continue to monitor, making individuals anxious when they were left behind. Especially when individuals are influenced by conformity in the form of pressure from their group to always be connected with what is happening on social media. This study aims to determine the relationship between fear of missing out and conformity in the z generation. The subjects used in this study were individuals aged 19-23 years involving 98 respondents. Sampling using non-probability sampling technique by accidental sampling by spreading Google form. The instrument used is the fear of missing out scale according to Przybylski's theory (2013) and the conformity scale according to Sears' theory (2004). The analysis technique used is the product moment with a result of 0.926 with a significance of p = 0.000 <0.01. The research measurement to see the reliability of the instrument uses the Cronbach’s alpha coefficient which when analyzing requires the help of SPSS 25.0 software for Windows. The results obtained show that the proposed hypothesis is accepted, the higher the fear of missing out, the higher the conformity. Vice versa, the higher the fear of missing out, the higher the conformity of generation z individuals.
 
Perkembangan teknologi yang pesat mempengaruhi gen z berkomunikasi antar individu. Ledakan teknologi ini memunculkan fenomena fear of missing out ketakutan akan kehilangan momen sehingga muncul perilaku untuk terus memantau sehingga membuat individu gelisah ketika tertinggal. Terutama ketika individu mendapat pengaruh konformitas berupa tekanan dari kelompoknya agar selalu terhubung dengan yang sedang terjadi di media sosial. Penelitian ini bertujuan untuk mengetahui hubungan antara fear of missing out dengan konformitas pada generasi z. Subjek yang digunakan pada penelitian ini individu dengan usia 19-23 tahun melibatkan 98 responden. Pengambilan sampel menggunakan teknik non probability sampling secara accidental sampling dengan menyebar google form. Instrumen yang digunakan adalah skala fear of missing out sesuai dengan teori Przybylski (2013) dan skala konformitas sesuai dengan teori Sears (2004). Teknik analisis yang digunakan adalah product moment dengan hasil 0,926 dengan signifikansi p = 0,000 < 0,01. Pengukuran penelitian untuk melihat reliabilitas instrumen menggunakan koefisien cronbach alpha yang ketika analisis membutuhkan bantuan software SPSS 25.0 for Windows. Hasil yang didapat menunjukkan hipotesis yang diajukan diterima, semakin tinggi fear of missing out maka semakin tinggi konformitas. Begitu juga sebaliknya, semakin tinggi fear of missing out maka semakin tinggi konformitas pada individu generasi z.
Self Efficacy dan Dukungan Sosial Teman Sebaya dengan Kematangan Karir Mahasiswa Tingkat Akhir
Authors: Putra Dirgantara Anugrah , Rini Amanda Pasca , Pratitis Nindia
Published: October 2024

This study aims to determine the relationship between self-efficacy and peer social support with the career maturity of final year students. This research is a type of quantitative research using a correlational research approach. The sampling technique used is random sampling. The subjects of this study were 330 Surabaya students. The data collection instrument uses a self-efficacy scale, a peer social support scale, a career maturity scale. The data analysis technique used was multiple linear regression analysis with the help of the Statistical Package for the Social Sciences (SPSS) 25.0 for Windows program. The results of data analysis show that there is a significant positive relationship between self-efficacy and peer social support with final grade student career maturity. This means that it can be concluded that self-efficacy and peer social support can simultaneously affect the career maturity of final year students
Penelitian ini bertujuan untuk mengetahui hubungan antara self efficacy dan dukungan sosial teman sebaya dengan kematangan karir mahasiswa tingkat akhir. Penelitian ini merupakan jenis penelitian kuantitatif menggunakan pendekatan penelitian korelasional. Teknik pengambilan sampel yang digunakan adalah random sampling. Subjek penelitian ini sebanyak 330 mahasiswa Surabaya. Instrumen pengumpulan data menggunakan skala self efficacy, skala dukungan sosial teman sebaya, skala kematangan karir. Teknik analisa data yang digunakan yaitu analisis regresi linier berganda dengan bantuan program statistical package for the social sciences (SPSS) 25.0 for windows. Hasil analisis data menunjukkan bahwa terdapat hubungan positif yang sangat signifikan antara self efficacy dan dukungan sosial teman sebaya dengan kematangan karir mahasiswa tingkat akhir. Artinya dapat disimpulkan bahwa self efficacy dan dukungan sosial teman sebaya secara bersama sama dapat mempengaruhi kematangan karir mahasiswa tingkat akhir
Prokrastinasi pada mahasiswa penyusun skripsi: Adakah peranan Kematangan Emosi?
Authors: Pertiwi Devi Widya , Suroso Suroso , Rista Karolin
Published: October 2024

Undergraduate thesis drafting students who delay work on thesis include ineffective use of time. This can have negative impacts, one of which is the neglect of the final assignment or thesis and if it is completed in a hurry the results will not be optimal, besides that students who postpone the completion of the thesis will take longer to complete their study period. This study aims to determine whether there is a relationship between emotional maturity and procrastination in the preparation of thesis. Sampling used a non-probability technique, namely incidental sampling involving as many as 178 final thesis drafting students who had a study period of more than 4 years. The results of the research using the Spearman-Rho correlation test show that the correlation coefficient has a significant negative relationship between emotional maturity and procrastination in thesis preparation. This means that the higher the emotional maturity, the lower the procrastination in preparing the thesis, conversely, if the lower the emotional maturity, the higher the procrastination in the preparation of the thesis, the hypothesis is declared proven and acceptable.
Mahasiswa penyusun skripsi yang melakukan penundaan pengerjaan pada skripsi termasuk pemanfaatan waktu yang tidak efektif. Hal tersebut dapat mengakibatkan dampak buruk salah satunya adalah terbengkalainya tugas akhir atau skripsi dan apabila diselesaikan saat buru-buru hasilnya menjadi tidak maksimal, selain itu mahasiswa yang melakukan penundaan pengerjaan skripsi menyebabkan lebih lama menyelesaikan masa studinya. Penelitian ini bertujuan untuk mengetahui apakah ada hubungan antara kematangan emosi dengan prokrastinasi dalam penyusunan skripsi. Pengambilan sampel menggunakan teknik non-probability yaitu incidental sampling melibatkan sebanyak 178 mahasiswa akhir penyusun skripsi yang memiliki masa studi lebih dari 4 tahun. Hasil penelitian melalui uji korelasi Spearman-Rho menunjukkan bahwa koefisien korelasi terdapat hubungan negatif yang signifikan antara kematangan emosi dan prokrastinasi dalam penyusunan skripsi. Artinya semakin tinggi kematangan emosi maka semakin rendah prokrastinasi dalam penyusunan skripsi, sebaliknya jika semakin rendah kematangan emosi maka semakin tinggi prokrastinasi dalam penyusunan skripsi maka hipotesis dinyatakan terbukti dan dapat diterima.
Educational Spillover Effects of New English Learners in a New Destination State
Authors: Doan Sy , Morales Sam , Özek Umut , Schwartz Heather
Published: October 2024

The number of English learners (ELs) enrolled in public schools has grown substantially in the United States over the past two decades. The growth is especially large in states in the South and Midwest that have not been traditional destinations for recent immigrants. In this study, we examine the effects of new ELs on students in receiving schools in Delaware, which is one of the so-called new destination states. We find significant positive spillover effects in the short term of new ELs on the test scores of the other students in the receiving schools. The positive effects are mainly concentrated among current and former ELs.
Machine Learning for Propensity Score Estimation: A Systematic Review and Reporting Guidelines
Authors: Leite Walter , Zhang Huibin , collier zachary , Chawla Kamal , l.kong@ufl.edu  , Lee Yongseok , Quan Jia , Soyoye Olushola
Published: October 2024

Machine learning has become a common approach for estimating propensity scores for quasi-experimental research using matching, weighting, or stratification on the propensity score. This systematic review examined machine learning applications for propensity score estimation across different fields, such as health, education, social sciences, and business over 40 years. The results show that the gradient boosting machine (GBM) is the most frequently used method, followed by random forest. Classification and regression trees (CART), neural networks, and the super learner were also used in more than five percent of studies. The most frequently used packages to estimate propensity scores were twang, gbm and randomforest in the R statistical software. The review identified many hyperparameter configurations used for machine learning methods. However, it also shows that hyperparameters are frequently under-reported, as well as critical steps of the propensity score analysis, such as the covariate balance evaluation. A set of guidelines for reporting the use of machine learning for propensity score estimation is provided.
Directional Frequency Consistency as a Deterministic Framework for Quantum Collapse in Entangled Systems
Authors: Towne Bryce Petofi
Published: October 2024

This paper introduces the Uncertainty to Certainty Hypothesis (UCH) as a potential framework for understanding quantum collapse in entangled systems that posits determin- istic patterns driven by directional frequency consistency. UCH suggests that the transition from indeterminate to determinate states may not rely solely on specific directional out- comes but rather on the preservation of consistent frequency distributions across multiple collapses. Through simulations of eight collapse types, we investigate whether symmetric and conjugate collapses exhibit deterministic features, with results of symmetric and con- jugate collapses indicating significant consistency in directional frequencies. We further extend UCH to multi-particle systems, proposing that only conjugate collapse is feasible in systems of three or more particles. While these findings provide preliminary support for deterministic aspects of quantum mechanics, further research is necessary to validate UCH and explore its broader implications. Additionally, the paper utilizes a mathematical framework for indeterminate numbers, redefining division by zero and potentially offering new insights into quantum entanglement and collapse.
Investigating Causal Questions in Human Development using Marginal Structural Models: A Tutorial Introduction to the devMSMs Package in R
Authors: Stallworthy Isabella , DeJoseph Meriah Lee , Padrutt Emily , Greifer Noah , Berry Daniel
Published: October 2024

Causal inference and questions about timing are central to developmental science. Yet scientists are often limited to observational data, and conceptual, methodological, and computational barriers have prevented uptake of relevant methodological tools from other disciplines that are designed to improve causal inference. This paper provides a practical guide to implementing one powerful causal inference tool, marginal structural models (MSMs), to strengthen our ability to test causal questions about exposures/treatments that unfold over time. We draw on an illustrative example testing the potentially causal roles of dose and timing of exposure to economic strain from infancy through early childhood on children’s behavior problems in early childhood. We first introduce the advantages of MSMs for investigating causal questions over time. Specifically, we review the logic of ‘exposure histories’ and the potential outcomes framework, using sequential randomization as a conceptual tool. We then discuss inverse-probability-of-treatment-weighting (IPTW) for addressing the threat of confounding over time. We then outline how to implement MSMs with observational data, before providing step-by-step guidance for using our novel, open-source R package, devMSMs. In our example, we create longitudinal IPTW balancing weights to attenuate a number of confounder-exposure relations. We then apply these weights to test an outcome model relating economic strain across infancy, toddlerhood, and early childhood to future behavior problems. Finally, we estimate and compare the predicted causal effects of different developmental histories of high economic strain that vary in dose and timing and discuss substantive implications. We close with ongoing considerations.
The relation between goal-predictive gaze behavior and imitation - A live eye-tracking study in 12-months-olds
Authors: Sieber Franziska , Czarnomski Jan , Daum Moritz M. , Zmyj Norbert
Published: October 2024

Children learn from others by imitating observed behavior. According to some theorists, in order to imitate an agent’s action, infants need to identify the agent’s action goal. To test this assumption, infants’ predictive gaze shifts were measured while they observed a live model’s action, and related to their imitation of this action, controlling for cognitive developmental status. In total, 104 German twelve-month-olds (57 female) observed an established imitation task (FIT 12, Goertz et al., 2006). The results revealed that infants anticipated action goals presented at a realistic speed. Furthermore, infants’ imitative behavior was related to their goal-predictive gaze shifts. This association was partially explained by cognitive-developmental status, which should be considered as an important factor in the development of imitation.
Temporal dynamics of visual awareness as a function of the level of processing of the stimulus and report requirements: an ERP study
Authors: Jimenez Mikel , Prieto Antonio , Grubert Anna , Hinojosa José Antonio , Montoro Pedro R.
Published: October 2024

While most research on the neural correlates of consciousness (NCC) has focused on exploring the candidate event related potentials (ERP) components associated to visual awareness, much less is known about the temporal dynamics associated to those correlates. In the present study, we will measure the temporal dynamics of visual awareness as a function of the level of processing (LoP) of the stimulus and report condition (report vs. no-report). In the report condition, participants will perform a low-level (color identification: blue vs. red) or high-level (category identification: animal vs. object) task on colored stimuli while reporting their awareness of the target (e.g., ‘seen’ or ‘unseen’). In the no-report block, participants will count the number of times that a task-irrelevant, but LoP congruent, stimulus appears within each block. The VAN (visual awareness negativity) and LP (late positivity) components of the ERP will be computed for each condition by pooling together aware and unaware trials. If awareness to different stimulus representations is temporally dynamic, we will expect an earlier low-level VAN compared to high-level VAN together with an earlier high-level LP compared to low-level LP, suggesting that the temporal course of the NCC is dependent on the level of processing of the stimulus and task demands. An absence of differences between low-level and high-level VANs, on the other hand, will suggest that awareness emerges “at once”, independently of the level at which the stimulus is processed. Regarding the LP, we expect two alternative scenarios. In the first one, we will observe reliable LPs only in the report condition and no LPs in the no-report condition. This will be in line with the proposal that the LP/P3 is not a correlate of awareness but reflects post-perceptual or task related processes. In the second scenario, reliable LPs might be observed in both the report and no-report tasks, but only for the high-level tasks. This will suggest that the LP is indeed a correlate of visual awareness which is exclusively modulated by high-level stimulus representations. In sum, here we will explore whether the NCC within the no-report paradigm are depend on the LoP of the stimulus and whether they are temporally dynamic, or alternatively, they are temporally invariant and independent of the LoP conceptualization.
Desain Ulang Tata Letak Fasilitas Pabrik Dengan Menggunakan Metode Systematic Layout Planning (SLP) Pada PT Tesena Inovindo
Authors: Bayu Hasta Yanto Andika , Abimanyu Ridwan , Fauzi Ahmad , Indriyani Novita
Published: October 2024

PT Tesena Inovindo Merupakan perusahaan yang bergerak dibidang perakitan alat kesehatan. Terdapat permasalahan pada PT Tesena Inovindo yang menyebabkan jarak perpindahan material pada proses produksi Infant Incubator menjadi cukup jauh, sehingga proses produksi mereka menjadi kurang optimal. Maka tujuan dari penelitian ini adalah membuat rancangan tata letak yang dapat lebih meminimalkan jarak perpindahan material pada proses produksi Infant Incubator. Metode yang digunakan dalam penelitian ini adalah systematic layout planning (SLP), merupakan metode yang digunakan untuk merancang tata letak fasilitas. Dalam penelitian ini juga dilakukan pengukuran secara langsung pada area produksi untuk menentukan ukuran dari masing-masing ruang dan fasilitas didalamnya. Berdasarkan hasil analisis maka ditemukan alternative layout yang dapat lebih meminimalkan jarak perpindahan material pada produksi Invant Incubator. Dimana jarak awal total perpindahan yaitu 154,85 M kemudian diminimalisir, sehingga jataknya menjadi 71,64 M. Maka dengan adanya alternative layout usulan ini dapat mengurangi jarak sekitar 83,21 M. Jika jarak perpindahan material dapat dikurangi maka waktu produksi kemungkinan juga akan menjadi lebih cepat dari sebelumnya.
Insect taxa as biodiversity indicators at selected coastal landscape
Authors: Abou-Fakhr Hammad Efat M. , Daoud Jessica , Tohme Salwa W.
Published: October 2024

For monitoring responses of insect arthropods to disturbance, a dataset of 1831 insects was considered. We studied faunal diversity of insects in terraces habitats located on the coast of Lebanon. Insects were sampled from 12 sites having different habitats with one sampling method of combined pitfall-pan trap. This study resulted in nine insect orders and 129 morphospecies. Hymenoptera was the most abundant order in all habitats (63.57%) followed by the orders Diptera, Homoptera, Coleoptera, Orthoptera, Hemiptera, Lepidoptera, Dictyoptera and Thysanoptera. This coast was classified with medium biodiversity index (D) of 0.51 for insect orders and high D of 0.83 for morphospecies. The highest (D) was in field crops habitat (H1) of 0.64 and 0.91 for insect orders and morphospecies, respectively; followed by scrublands (H3), greenhouse areas (H2) and olive orchards (H4). These results indicated that human intervention was affecting the diversity in natural habitats. Five insect orders: Coleoptera, Dictyoptera, Diptera, Hymenoptera, and Lepidoptera were significantly selected as potential biodiversity indicators in this coastal area. Thus, for monitoring these bioindicators, a protocol based on operating our combined trap method appears practical in design and yield very diverse material with the target of sustaining these insect populations in the coastal area.
THE TYPOLOGIES OF THE HOUSES IN THE MEDINA OF ANNABA-ALGERIA
Authors: Labbaci Ines  , Attoui Redha
Published: October 2024

The patio house is a cultural production, it bears witness to the social practices of ancient societies that shaped its spaces by considering their own cultures and needs, this is how it was born and developed into a spontaneous architecture consistent with the environment, the prevailing climate, the culture and interests of the family and its future generations, For years, the Annaba Medina had suffered from the precariousness of unhealthy, over-densified housing. The original families were leaving and lowincome rural immigrants were finding the Medina a favorable host structure, with large empty mansions and a type of house with patios that lent itself to renting by the piece. The unsuitability of this urban fabric for the current standards and practices of the inhabitants, and contemporary development, were the main causes of the changes made by the Medinese throughout the area, mainly affecting the original urban form. Through this research, we have tried to analyze the traditional domestic space to highlight the new typologies of houses in Medina.
PISA ve Okuma Kültürü
Authors: Kaya Nur
Published: October 2024

ÖZ: Doç Dr. İbrahim Seçkin Aydın ve Dr. Ömer Yahşi’nin editörlüğünü yaptığı bu çalışma PISA değerlendirmesine yönelik bir kitaptır. Kitabın yayınlanma amacı ülkemizdeki eğitim koşullarının durumunu, başarılı ülkelerin eğitim anlayışlarını ve PISA’nın niteliklerini “Okuma” çerçevesinde ele alarak sorunların saptanması ve çözümüne yönelik bir adım atabilmektir. Uluslararası düzeyde başarı gösteren ülkelerin okuma odaklı eğitim yaklaşımlarını inceleyen, metni anlamlandırmayla ilgili çeşitli kuramsal bilgilere yer verilerek PISA çerçevesinde değerlendirmeler yapan, okuryazarlık kavramından, öğretim programlarına varana kadar geniş bir bakış açısıyla ele alınan eser çeşitli program geliştirmecilerine, özellikle okuma kültürü ve PISA sınavına yönelik araştırma yapan eğitimcilere bilgiler sunmaktadır. Kitap, bölüm yazarları ile konularından sonra editörlerin kaleme aldığı kısa bir ön söz ve içindekiler bölümüyle başlamaktadır. Bunun ardından gelen yirmi ana bölümü kapsamaktadır. Her bölümün sonunda “Kaynakça” kısmı yer almaktadır.
Anahtar kelimeler: PISA, Okuma Kültürü, Okuduğunu Anlama
Ortaokul Öğrencilerinin Kitap Edinme Eğilimleri
Authors: Karadağ Kübra , Çaylıoğlu İşnel Nuran , Benzer Ahmet
Published: October 2024

Bu araştırmada kitap okuma alışkanlığının somut göstergelerinden biri olan öğrencilerin kitap edinme eğilimleri incelenmiştir. Kitap edinme eğilimi, kitap okuma alışkanlığına sahip öğrencilerin ilk ve en öncelikli davranışıdır. Araştırmada öğrencilerin kitap edinme eğilimlerini yönlendiren değişkenler belirlenmeye çalışılmıştır. Araştırma kapsamında ders kitabındaki metinler ile araştırmacılar tarafından tasarlanan kitap önerisi, sınav yapılması, yazar söyleşisi, müze gezisi ve disiplinlerarası çalışma gibi değişkenlerin öğrencilerin kitap edinme eğilimleri üzerindeki rolü araştırılmıştır. Araştırma nitel araştırma yönteminin desenlerinden olan durum çalışması deseni kullanılarak hazırlanmıştır. Araştırmanın çalışma grubunu, 2021-2022 eğitim-öğretim yılında İstanbul’daki bir ortaokulun 6. sınıf öğrencileri oluşturmaktadır. Araştırma 29 hafta sürmüştür. Çalışmanın başlangıcında yapılandırılmamış görüşme formu ile öğrencilerin kitap edinmelerindeki etkenler sorgulanmıştır. Araştırmanın 19 haftası I. dönem ders kitabındaki metinlere yöneliktir. Bu metinlere yönelik yarı yapılandırılmış görüşme formu ve bireysel görüşmeler ile öğrencilerin kitap edinme eğilimleri ve ders kitaplarındaki metinler, yazar bilgisi, yazarların farklı kitapları, metinlere yönelik görüşleri alınmıştır. II. dönem ise 10 hafta boyunca beş kitap edinme etkinliği öğrencilere uygulanmış ve öğrencilerin görüşleri yarı yapılandırılmış görüşme formu ve bireysel görüşmeler ile alınmıştır. Yarı yapılandırılmış görüşme formu ile toplanan araştırma verileri içerik analizine tabi tutularak kodlanmış ve ulaşılan bulgular yorumlanmıştır. Alınan görüşlerden her bir etkinliğin güçlü ve zayıf yönleri ile fırsat ve tehditleri ortaya çıkartılarak SWOT analizi yapılmıştır. Araştırma sonucunda ders kitaplarındaki metinlerin öğrencileri kaynak kitaba yönlendirmediği sonucuna ulaşılmıştır. II. dönem yapılan etkinlikler sonucunda öğrencilerin bir kitabı en çok sınav yapılacağı uyarısı ile edindiği, öğrencilerin %88’inin yazar söyleşisi ve disiplinlerarası çalışma etkinlikleri sonrası kitap edindikleri görülmüştür. Öğretmenlere, öğrencilerinin kitap edinme eğilimlerini etkilemek için okullarına yazar davet etmeleri veya farklı branştaki öğretmenler ile iş birliği yaparak aynı kitabı önermeleri önerilmiştir.
Kajian Model Jaringan Syaraf Tiruan Untuk Memprediksi Secara Dini Tingkat Kelulusan Mahasiswa
Authors: Rohana Tatang , Nurlaelasari Euis , Awal Elsa Elvira , Novita Hilda Yulia
Published: October 2024

ABSTRAKMasalah: Penelitian ini terkait dengan kajian algoritma jaringan syaraf tiruan untuk memprediksi secara dini tingkat kelulusan mahasiswa. Tujuan: Tujuan penelitian untuk mendeteksi atau memprediksi tingkat kelulusan mahasiswa yang lulus  tepat waktu, sehingga hasilnya diharapkan bisa memberikan kontribusi bagi progam studi dalam menganalisa tingkat kelulusan mahasiswa.Metode: Algoritma yang dipakai meliputi Multilayer Perceptron, Support Vector Machine, dan Decision Tree. Kemudian akan dibandingkan algoritma mana yang memiliki tingkat akurasi yang terbaik dalam memprediksi tingkat kelulusan mahasiswa.Hasil: Berdasarkan hasil penelitian, model Decision Tree memiliki tingkat error rate yang paling baik yaitu 0, model Support Vector Machine sebesar 0.011, dan Multilayer Perceptron 0.029. Berdasarkan  hasil uji performansi dengan Confusion Matrix, model Multilayer Perceptron  memiliki akurasi sebesar 97,1%, Support Vector  Machine 98,9%, dan Decision Tree memiliki akurasi 100%.Kesimpulan: Model Decision Tree memiliki tingkat akurasi terbaik, sehingga algoritma tersebut bisa digunakan dalam membuat sistem  prediksi kelulusan mahasiswa tepat waktu. Untuk penelitian selanjutnya, disarankan untuk menambahkan lebih banyak data mahasiswa agar hasil penelitian bisa lebih baik. Variabel data set juga bisa diperluas tidak hanya dari aspek akademik mahasiswa, tetapi juga dari aspek non-akademik dan latar belakang ekonomi keluarga, seperti pendapatan orang tua, status pekerjaan mahasiswa, dan variabel lainnya.Kata kunci: Jaringan Syaraf, Prediksi, Multilayer Perceptron, Support Vector Machine, Decision Tree
Aplikasi Analisis Prevalensi Stunting Berdasarkan Survei Kesejahteraan Rakyat Di Kalimantan Selatan
Authors: Dharmawati Adani , Noor Hayati , Yazidah Anwar Rezky Izzatul
Published: October 2024

Berdasarkan data Survei Status Gizi Indonesia (SSGI) tahun 2022, prevalensi stunting di Kalimantan Selatan sebesar 24,6%. Angka ini menunjukkan bahwa Kalimantan Selatan masih tergolong dalam zona merah. Oleh karena itu, salah satu upaya yang dapat dilakukan yaitu dengan membuat aplikasi yang mampu menganalisa data-data yang ada di survey kesejahteraan rakyat tersebut terhadap angka prevalensi stunting. Data pada penelitian ini didapat dari publikasi Statistik Kesejahteraan Rakyat Provinsi Kalimantan Selatan Tahun 2022 yang dilakukan oleh Badan Pusat Statistik (BPS) setiap tahun untuk mengukur tingkat kesejahteraan rakyat Indonesia yang dapat digunakan sebagai masukan bagi perencanaan dan evaluasi pembangunan. Dikarenakan hal tersebut, maka penelitian ini membuat aplikasi yang mampu menganalisa data-data yang ada di survey kesejahteraan rakyat tersebut terhadap angka prevalensi stunting. Dengan adanya aplikasi ini maka akan dengan mudah menganalisa variabel variabel apa saja yang berpengaruh besar terhadap prevalensi stunting, serta mamp nku membuat prediksi awal yang diharapkan akan menjadi dasar untuk pengembangan intervensi dan kebijakan yang efektif dalam menurunkan angka stunting di Kalimantan Selatan.Kata Kunci:  analisis, stunting, kesejahteraan
Dampak implementasi artificial intelligence terhadap proses bisnis dan pengambilan keputusan di perusahaan teknologi
Authors: Sonianto Sonianto , Fatoni Fatoni , Hartono Susilo
Published: October 2024

Penelitian ini bertujuan untuk mengkaji dampak implementasi Artificial Intelligence (AI) terhadap proses bisnis dan pengambilan keputusan di perusahaan teknologi. Dalam era digital saat ini, AI telah menjadi salah satu teknologi yang paling revolusioner, memberikan kemampuan untuk mengolah data secara cepat dan akurat, serta menghasilkan wawasan yang berharga bagi pengambilan keputusan strategis. Studi ini menggunakan metode kualitatif dengan pendekatan studi kasus pada beberapa perusahaan teknologi. Hasil penelitian menunjukkan bahwa implementasi AI memiliki dampak signifikan terhadap efisiensi operasional, peningkatan produktivitas, dan pengurangan biaya operasional. AI membantu dalam otomatisasi tugas-tugas rutin, analisis data besar, dan prediksi tren pasar, sehingga memungkinkan perusahaan untuk membuat keputusan yang lebih cepat dan tepat. Selain itu, AI juga memainkan peran penting dalam pengembangan produk dan layanan baru, serta meningkatkan kepuasan pelanggan melalui personalisasi pengalaman pengguna. Namun, penelitian ini juga menemukan beberapa tantangan dalam implementasi AI, seperti kebutuhan akan investasi yang besar, perubahan budaya organisasi, dan isu etika terkait penggunaan data. Untuk mengatasi tantangan ini, perusahaan perlu mengembangkan strategi implementasi AI yang komprehensif, melibatkan pelatihan karyawan, dan memastikan kepatuhan terhadap regulasi data.
SISTEM MONITORING KINERJA DOSEN INSTITUT BAKTI NUSANTARA BERBASIS WEB MOBILE
Authors: Martin Afrizal , Andriyani Novita , Joni Joni
Published: October 2024

Bagi dosen di instansi perguruan tinggi swasta, ada tigga kewajiban dalam tridharma wajib dilaporkan kepada pihak instansi maupun ke Lembaga Layanan Pendidikan Tinggi (LLDikti) bagi yang sudah bersertifikasi pada srtiap semesternya. Laporan kinerja dosen secara rutin mutlak dilakukan oleh stiap periodenya. Hasil dari pelaporan kinerja akan menjadi pertimbangan dari pihak instansi untuk memberikan bonus, tunjangan, promosi, demosi, dan bahkan penghentian kontrak kerja bagi yang tidak dapat mencapai target kinerja.Ada beberapa persoalan yang peneliti lihat terkait kegiatan monitoring aktifitas dosen, khususnya bagi Perguruan tinggi swasta dan Institut Bakti Nusantara. Dalam hal jumlah dosen khususnya di Institut Bakti Nusantara, institusi ini memiliki dosen yang bersertifikasi berkisar 45%. Tentunya hal ini juga mempengaruhi angka partisipasi dalam melaporkan kinerjanya. Bagi dosen yang belum memiliki sertifikasi sebagai dosen profesional, kesadaran untuk mengumpulkan dan melaporkan bukti kinerja masih belum seperti dosen yang telah tersertifikasi. Hal ini berakibat kepada bukti kinerja dosen yang bersangkutan tidak terekam sepenuhnya, dan tentunya akan merugikan pihak perguruan tinggi.Peneliti menganggap perlu ada sistem informasi yang dapat memonitoring kinerja dosen tanpa memandang apakah dosen tersebut telah bersertifikasi atau belum. Selain itu, sistem yang dirancang harus dapat diakses oleh Dosen, atasan Dosen perguruan tinggi secara online, sekaligus dapat memonitor sejauh mana aktivitas yang telah direncanakan diawal semester.
Rancangan Sistem Informasi Manajemen Aset Kantor Di Fakultas Rekayasa Industri Universitas Telkom Dengan Rapid Application Development
Authors: Nurdin Mochamad Fajri Ilham
Published: October 2024

Masalah: Pengelolaan aset di Fakultas Rekayasa Industri Universitas Telkom menghadapi beberapa kendala, seperti ketidakakuratan data, penggunaan sistem manual yang tidak terintegrasi, serta kesulitan dalam pemantauan aset secara real-time.Tujuan: Penelitian ini bertujuan untuk merancang Sistem Informasi Manajemen Aset yang dapat meningkatkan efisiensi dan akurasi dalam pengelolaan aset di Fakultas Rekayasa Industri Universitas Telkom.Metode: Penelitian ini menggunakan metode Rapid Application Development (RAD) yang digunakan untuk merancang sistem informasi manajemen aset. Wawancara terstuktur juga dilakukan untuk pengumpulan data primer dari Wakil Dekan 2 dan staf keuangan, serta analisis dokumen sebagai data sekunder. Pengujian sistem dilakukan dengan User Acceptance Testing (UAT) dan Blackbox Testing menggunakan skala Likert untuk mengukur kepuasan pengguna.Hasil: Hasil penelitian menunjukkan bahwa sistem informasi manajemen aset yang dirancang terbukti berhasil meningkatkan efisiensi dan akurasi pengelolaan aset di Fakultas Rekayasa Industri Universitas Telkom. Pengujian sistem melalui User Acceptance Testing (UAT) menunjukkan tingkat kepuasan pengguna yang tinggi, yaitu 88,35%, dengan responden menyatakan bahwa sistem mempermudah proses inventarisasi dan pemantauan aset. Selain itu, sistem memungkinkan pemantauan aset secara real-time, yang sebelumnya tidak tersedia dengan sistem manual. Blackbox Testing memastikan semua fungsi sistem berjalan sesuai spesifikasi tanpa adanya kesalahan kritis. Keunggulan lain dari sistem ini adalah integrasi data yang lebih baik, mengurangi redundansi, serta peningkatan kecepatan dalam pelaporan dan pengambilan keputusan terkait pengelolaan aset.Kesimpulan: Implementasi Sistem Informasi Manajemen Aset berbasis RAD memberikan kontribusi signifikan dalam meningkatkan pengelolaan aset. Namun, terdapat kelemahan seperti belum adanya fitur riwayat perbaikan aset. Penelitian selanjutnya disarankan untuk menambahkan fitur identifikasi aset menggunakan barcode untuk penyempurnaan sistem.Kata Kunci: Manajemen Aset, Sistem Informasi, Rapid Application Development
Analysis of Air Temperature and Precipitation Trends in Kandahar city, Afghanistan from 1990-2019
Authors: Mujtaba Rafie , Zainullah Hazim , Mustafa Mohammadi
Published: October 2024

This study aims to analyze trends of three, annual average temperature, annual average T-max, annual average T-mini, and precipitation over the last 30 years 1990-2019 in Kandahar City, the western part of Afghanistan. For the purpose of analysis, available data from Afghanistan Meteorological Department (AMD) and Power Data Access Viewer dataset were used. First, daily average temperature and precipitation data were converted to monthly average data, then converted to annual average data for statistical calculation. The linear regression equation and trend magnitude was applied to identify the trend of temperature and precipitation. Analysis of the data demonstrated an upward trend in average temperature, average T-max, average T-mini, and downward precipitation, the most upward trend obtained in an annual average of T-mini and less upward trend in an annual average of T-max. Simultaneously, by increasing temperature, precipitation decreased which indicates dry and hot temperatures. The ongoing climate change affects various factors, especially agriculture, and socioeconomics. On this basis, it is recommended that the result could serve as a key in making plans and policies for those authorities involved in the planning. Further research is needed to identify other climatic parameters for a comprehensive understanding of the current and future climatic situation of the study area.
Keywords: Air temperature, Precipitation, Climate change, Kandahar city, Trend line
Technique recommendation to recover missing labels by performance analysis of Multi-Label Machine Learning Algorithms
Authors: Sayed Mortaza Kazemi , Zahidullah Sherzad , Muhammad Haleem , Nasratullah Zarif
Published: October 2024

With today’s technological growth Machine learning is revalued as a tool that provides the ability in automating systems. The machines learn from experience based on the
available datasets with no intervention from humans. Here in this research, we consider a variant of the classification, multi-label learning where each instance belongs to more than one label simultaneously. In contrast to other classification tasks, there are a number of challenges, the most significant is to figure out the class when the labels are absent. We compared various multi-label methods from algorithm adaptation and problem transformation perspectives. We applied the algorithms to eight datasets. Problem transformation algorithms are applied to analyze label correlation in a positive sense and then both in a positive and negative sense. We contribute by recommending the technique to address the issue of missing labels by either relying solely on label correlation or by combining it with data locality. Experimental results on multiple benchmark data sets demonstrate that MLLCRS-ML outperforms other cutting-edge techniques.
Appraisement of the P-Delta Effects in Multi-Storey Reinforced Concrete Buildings Influenced by Seismic Load
Authors: Popal Ahmad Baset , Shinwari Zabihullah Dalil , Irshad Iqbal , Nawabi Abdul Sattar , Javid Sayed
Published: October 2024

Population increment encourages engineers to build high-rise structures. However, in high-rise structures lateral load has a more severe impact on the structure than axial loads and this effect is known as the P-Delta effect. The current study aims to evaluate P-Delta effects in a high-rise structure located in Kabul city and to pinpoint the minimum height required for considering P-Delta effects in structural analysis. The analysis is carried out utilizing the response spectrum method performed by ETABS software for a total of five models with a different number of storey and lateral load-resisting systems. It is observed that with the increase in lateral stiffness, P-Delta effects can be minimized to a certain extent. Lateral displacement, storey drift, and stability coefficient are some of the other parameters considered for comparison purposes which are significantly mitigated while a shear wall is provided. Also, an adequate and proper positioning of shear walls has resulted in an appropriate solution for minimizing the P-Delta effects.
Keywords: P-Delta effect, Lateral displacement, Lateral stiffness, Stability coefficient.
Regulation on Bachelor Degree Education: Problems and the Way Forward
Authors: Fazalyar Abdullah
Published: October 2024

Educational systems have a direct impact on the process of learning and academic achievements of students and faculty members alike. In an attempt to standardize higher education and introduce a binding regulatory framework, the Regulation on bachelor's degree Education, 2020 applies to both the private and public sectors in Afghanistan. The Regulation, prima facie, suffers from problems that are divided into two sets. Firstly, issues whose presence or existence in the Regulation leads to problems; these include, but are not limited to, an excessive number of Objectives set in Article 2; contradiction with provisions of other laws in force; vagueness and ambiguity of certain provisions; violation of academic autonomy of institutions of higher education; and emphasis on certain matters that are non-compliant with the reality and norms prevalent in the Afghan society. The second set comprises issues that are absent while they should have been part of the Regulation. These include, for instance, a mechanism for achieving each Objective set for the Regulation; rules and principles appropriate for applied sciences, medical, and engineering because it appears the Regulation is drafted in view of social sciences only; the maximum number of students to be enrolled in a class; provisions dealing with Grade Point Average (GPA); practical work and research for students; E-Learning; a mechanism for
incorporating mechanism of quality assurance and quality enhancement in the bachelor's program. This paper analyses problems that the Regulation suffers from in a descriptive critical method and ends with particular recommendations.
Keywords: Afghanistan, Higher Education, Regulation, Bachelor, Credit System
Misperceptions about the Status of Women in Islam
Authors: Seddiqi Khawaja Jamshid , Halimi Ashabudin
Published: October 2024

فغانستان یک جامعه سنتی است و به همین سبب عرف و عنعناتی که در آ ن وجود دارد در
ء برخی از عادات و عنعنات مخالف با پرتو اصول رشیعت اسالمی ارزیابی نگردیده اند، بنا
کرامت انسانی بوده و با رشیعت اسالمی در تضاد قرار دارد .بطور مثال زنان به عنوان خون
بها داده میشوند و به عنوان حفاظت از ناموس بر اساس رواجهای چون بد یا سوره به نام
غیرت )یا ناموس( کشته میشوند. در این تحقیق در سدد ارزیابی این پرسش هستیم که آیا
این باور ها ریشه در دین و مذهب دارد و یا ناشی از عرف و عنعنات جامعه میباشد؟ با
رویکرد تحقیق کتابخانه، تحلیلی توصیفی-انتقادی به پاسخ این پرسش می پردازیم.
Ownership in the Sale of Goods in General
Authors: Qasemi Abdul Khaleq , Rezaei Ibrahim , Baqeri Sadeq
Published: October 2024

In general, there is no difference of opinion between jurists and lawyers regarding ownership
in the sale contract; they consider ownership to be a requirement of the nature of the sale
and its most important legal effect. Despite this, in the case of sale, where the good is a
general concept of a commodity, there has been a disagreement about its nature; some
lawyers consider this type of contract as a contract based on commitment and promise,
others consider it as a possessive contract, and other lawyers consider it to have a dual
nature. The difference between jurists in this matter is less; most of them consider this type
of sale to be possessive in nature. In this article, the theories of jurists and lawyers have been
criticized and analyzed using the analytical-descriptive method and library sources. The
result of the research is that this type of sale is basically possessive in nature; however, due
to the generality of the good that is sold and the lack of identification, the transfer of
ownership faces a problem. This challenge is removed by determining the goods and their
delivery.
Nourishing the Future: AI-Driven Optimization of Farm-to-Consumer Food Supply Chain for Enhanced Business Performance
Authors: Anwar Hassan , Anwar Talha , Mahmood Gohar
Published: October 2024

Efficiency and sustainability are upending the global food supply system. The current study examined the relationship between Artificial Intelligence (AI) and agriculture to optimize food supply chain from farm to consumer business model. The study examined how AI-driven solutions may boost efficiency, reduce waste, and promote environmental responsibility with an emphasis on sustainability. The food supply system faces resource depletion, climate change, and growing global food consumption. AI technologies, such as automation, data analytics, and machine learning may solve these issues. AI systems use real-time data, predictive analytics, and intelligent logistics to improve production, distribution, and consumption. This reduces food production and transportation of carbon emissions along with improving resource allocation. AI-powered precision agriculture helps the farmers to increase crop yields while lowering fertilizer and pesticide use along with supporting sustainable farming as well. IoT devices and sensor networks are helpful to improve livestock management and crop monitoring, enabling data-driven agriculture. The current study highlighted how AI ensures food quality and safety across supply chain. By identifying impurities, monitoring storage conditions, and forecasting shelf life, AI-powered quality control systems may decrease food wastage and ensure safe, high-quality goods. In conclusion, AI-agriculture integration is an innovative way to increase farm-to-consumer food supply chain efficiency and sustainability. AI technology may help the supply chain stakeholders to create resource-efficient, environmentally friendly food production that meets the needs of a growing population. The current study discussed food industry sustainability and AI uses in agriculture, as well as future possibilities and challenges.
What's Up, Mister! An Investigation of the Team-Fan Conversational Approach
Authors: Lo Presti Letizia , Maggiore Giulio , Marino Vittoria , Resciniti Riccardo
Published: October 2024

This paper proposes a research model for investigating the effect on fan satisfaction and fan loyalty of the three dimensions of the customer engagement construct on Mobile Instant Messaging Apps when they are used as Engagement Platforms in a conversational marketing approach. To test the hypotheses, a sequential regression model was implemented. A survey was conducted on fans of a famous football team in Italy that has recently decided to use WhatsApp (Mobile Instant Messaging App - MIM) to allow fans to communicate directly with football players. The results highlight the importance of emotional engagement on fan satisfaction and the role of behavioural engagement through the use of WhatsApp for enhancing fan commitment. Fans who are engaged and more satisfied thanks to the use of MIM apps can be ambassadors for the sport brand thus affecting the fan behaviour-based relationship performance and the support to the team. For this reason, sports team managers need to consider the MIM app as a tool that can increase fan engagement.