bluuebunny/crossref_metadata_2025 huggingface dataset:
KINEMATIKA PEMBUATAN GRIP 3D PRINT DENGAN APLIKASI AUTODESK INVENTOR MENGGUNAKAN DOBOT MAGICIAN
Authors: Riyadi Slamet , Hartanto Leandra , Rizalludin Riqqi
Published: November 2023

Dobot Magician Basic Plan adalah robot lengan desktop multifungsi yang untuk praktik pendidikan robotika. Ada berbagai kemampuan yang dimiliki oleh robot lengan ini, salah satunya mencetak objek 3 Dimensi (3D Printing). 3D Printing adalah proses membuat benda padat tigadimensi berbekal sebuah desain digital. Teknologi 3D Printing sendiri memiliki dampak yang signifikan terhadap dunia manufaktur antara lain terbukanya peluang untuk menciptakan produk-produk yang lebih baik. Aplikasi pembuatan 3D Printing salah satunya adalaha AutodeskInventor. Autodesk Inventor Professional merupakan salah satu perangkat lunak (software) jenisComputer Aided Drawing (CAD) yang menekankan pada pemodelan solid. Autodesk Inventormenawarkan seperangkat alat untuk desain mekanik, dokumentasi, dan simulasi produk 3D yang mudah digunakan.
PERANCANGAN SISTEM INFORMASI ROSI LAUNDRY BERBASIS WEB MENGGUNAKAN METODE WATERFALL
Authors: Fathi Halimil , Setiawan Ricak Agus , Yuniar Dara , Sartika Eka , Ardiansyah Fabian
Published: November 2023

Di era digital yang serba cepat, membuat manusia menginginkan semua aktivitas rumah tangga menjadi serba praktis, seperti mencuci baju. Bagi orang yang memiliki tuntutan kesibukan dan tidak mempunyai waktu untuk mencuci pakaian, menjemur, dan menyetrika, mereka lebih memilih mempercayakan cuciannya kepada jasa tukang cuci atau laundry dengan alasan menghemat waktu dan agar lebih berkonsentrasi untuk menyelesaikan pekerjaan mereka. Sistem yang digunakan pada Rosi Laundry masih menggunakan data manual yang menyulitkan pencarian data dan rentan kehilangan data. Untuk itu dibuatlah perancangan sistem informasi layanan laundry berbasis web di Rosi Laundry, dengan menggunakan HTML, PHP, dan DBMS MySQL dan metode yang di gunakan dalam perencanaan ini menggunakan SDLC model waterfall. Dengan harapan sistem informasi ini akan membantu dalam pengelolaan data pelanggan laundr
PENGARUH KECEPATAN DAN DAYA PEMOTONGAN MESIN CUTTING LASER TERHADAP MATERIAL THERMOPLASTIC POLY-URETHANE
Authors: Tauvana Ade Irvan , Nulhakim Lukman , Widodo  , Saepurohman Ferdi
Published: November 2023

Proses pemotongan material Thermoplastic Poly-Urethane (TPU) menggunakan mesin cutinglaser dengan menggunakan besaran kecepatan dan juga power pemotongan. MaterialThermoplastic Polyurethane merupakan salah satu material polimer berjenis termoplastik, danmemiliki sifat biodegradable, biocompatible, tidak beracun, fleksibilitas serta elongisitas yangtinggi. Penelitian ini bertujuan untuk mengetahui pengaruh besaran power terhadap kualitas danjuga pengaruh besaran kecepatan terhadap hasil serta waktu pemotongan. Metode yangdigunakan mulai dari pembuatan pola pada komputer yang selanjutnya ditransfer ke mesin cuttinglaser setelah itu dilakukan proses pemotongan. Penelitian ini menggunakan besaran parameterkecepatan 20 mm/s, 50 mm/s serta 80 mm/s dan juga menggunakan besaran daya pemotongansebesar 40%, 45% serta 50%. Dari hasil dari penelitian ini dapat diketahui bahwa hasilpemotongan menggunakan besaran parameter kecepatan 50 mm/s dan daya 45% merupakanhasil potongan terbaik. Semakin besar paramter kecepatan yang digunakan maka waktupemotongan juga semakin cepat, dan juga pada pengujian yang dilakukan dengan menggunakanbesaran parameter kecepatan serta daya yang terlalu besar atau terlalu kecil terdapat hasilpemotongan yang cacat, cacat yang terdapat pada hasil pemotongan berupa sobekan dan jugalelehan.
Resensi Buku:
Authors: Viona Evelin Salinding
Published: November 2023

Sarinah Lo adalah dosen sekaligus ketua program studi Magister Pendidikan Kristen di Sekolah Tinggi Teologi Bandung. Sarinah mendapatkan gelar Ph.D dalam pendidikan dari Trinity Theological Seminary, Amerika Serikat. Sarinah menuliskan buku ini berdasarkan hasil disertasinya yang mengeskplor persepsi staf pengajar Kristen di Indonesia terhadap integrasi iman dan ilmu dalam pendekatan yang lebih holistik yang meliputi: (1) Being - menekankan kepada diri pengajar sebagai pengintegrasi, (2) Knowing – yaitu pemahaman pengajar mengenai hubungan antara iman dan disiplin ilmunya; dan (3) Doing – menekankan kepada pengaruh iman pengajar terhadap praktik pendidikannya. Buku ini terdiri dari lima bab. Bab pertama berisi latar belakang, rumusan masalah, tujuan dan signifikansi dari penelitian serta berisi defnisi dari istilah-istilah yang digunakan dalam buku ini. Bab dua berisi tinjauan literatur mengenai sejarah, defenisi, pendekatan, penelitian empiris serta tantangan di dalam penerapan integrasi iman dan ilmu. Bab tiga mencakup metodologi penelitian. Bab empat membahas penemuan. Terakhir, bab 5 berisi kesimpulan dan implikasi praktis dari penelitian.
Bioeconomía circular: aprovechamiento de residuos de frutas y verduras en México
Authors: Gómez-Ramos G.
Published: November 2023

La bioeconomía circular tiene como objetivo transformar el actual modelo económico en uno más sostenible, centrándose en la preservación prolongada de los recursos naturales para evitar la generación excesiva de residuos. Esto implica la reutilización de recursos tanto en la producción de artículos originales como en otros bienes. La convergencia de la sostenibilidad y la bioeconomía circular se encuentra en la conservación de recursos para las futuras generaciones, teniendo en cuenta factores ambientales, sociales y económicos. En el contexto de México, la producción y consumo de frutas y verduras generan cantidades considerables de residuos, los cuales contribuyen significativamente a la contaminación y al cambio climático. Por ejemplo, anualmente se generan millones de toneladas de residuos agroalimentarios, emitiendo dióxido de carbono y resultando en una pérdida notable de agua. Sin embargo, estos residuos poseen un potencial valioso como materia prima para la fabricación de productos industriales, impulsando así la implementación de la bioeconomía circular y alineándose con los objetivos de desarrollo sostenible establecidos por México.
Evaluación nutricional y percepción de discriminación de acuerdo con el color de piel en estudiantes de la UACM, plantel Cuautepec, ciudad de México
Authors: Martínez-Osorio N. , Mendoza-Ramírez A. , Ortiz-Hernández L. , Padilla-Mendoza J. R. , De Dios Bravo M.G. , Carrillo-Pérez M.S. , López-Reyes I.
Published: November 2023

En la actualidad existen diversos aspectos directamente relacionados con los problemas asociados a la nutrición. Ejemplo de ello es la discriminación por tener sobrepeso u obesidad y de manera indirecta las características fenotípicas que pueden ser usadas como herramientas de discriminación, por consiguiente, relacionarse con una carencia nutricional y el desempeño académico. Aquí investigamos acerca del estado nutricional de estudiantes de una universidad ubicada en una zona de alta marginación en la Ciudad de México; y la presencia de la discriminación a partir del estado de ánimo, y la dignidad en relación con la percepción del color de piel. Dentro de la Metodología se recolectaron mediciones antropométricas, de bioimpedancia, muestras de sangre; y datos sobre actividad física, estado de ánimo y percepción de discriminación. Al identificar la percepción del color de piel basándonos en 2 herramientas, los participantes respondieron de manera distinta para cada herramienta. El análisis de riesgo cardiometabólico considerando la percepción del color de piel de los estudiantes mostró que existen tendencias, como el ser moreno y tener un Índice de Cintura-Cadera (ICC) más elevado, o un colesterol HDL más bajo que las personas blancas. El análisis bioquímico mostró de manera general valores elevados de triglicéridos y colesterol, lo que implica una dieta no saludable en estos estudiantes.
IMPLEMENTASI ALGORITMA NAIVE BAYES UNTUK MENENTUKAN TINGKAT KEPUASAN MASYARAKAT TERHADAP PELAYANAN PUBLIK (STUDI KASUS : BALAI PENGKAJIAN TEKNOLOGI PERTANIAN DAERAH ISTIMEWA YOGYAKARTA)
Authors: Hartatik  , Lestari Dwi
Published: November 2023

Public services by this government apparatus are still found in weaknesses so that they cannot meet the quality expected by the community. This was marked by the existence of various public complaints that were conveyed through the mass media, so as to create an unfavorable image of the government apparatus. This research was conducted in making a prediction system by utilizing the Naïve Bayes algorithm. It can be seen the level of community satisfaction based on index values obtained from the results of quantitative and qualitative measurements of public opinion at the Yogyakarta Institute of Agricultural Technology and the level of accuracy in implementing Naïve Bayes algorithms.From the results that have been known, it can be used as a benchmark to assess the level of service quality at the Yogyakarta Institute of Agricultural Technology Assessment, with the aim of knowing the level of performance of service units on a regular basis as material to establish policies in order to improve the quality of subsequent public services and the government can continue to improve service quality
MEDIA PEMBELAJARAN AKSARA JAWA DENGAN TEKNIK AUGMENTED REALITY MENGGUNAKAN VUFORIA SDK
Authors: Syafrianto Andri , Nugroho Avianto Aldi
Published: November 2023

Javanese script is a priceless cultural heritage. The form of the script and the art of making it become a legacy that deserves to be preserved. Javanese script is used in various Javanese texts and several other languages around the narrative area. This script is better known as Hanacaraka or Carakan. However, over time the use of Javanese script began to decrease. Many people don't know Javanese script. One of the causes is the form of Javanese script which is more difficult to understand than Latin script so that the interest in learning is reduced.

In today's technological development, learning media are beginning to use technology as a learning tool. This is to improve the quality and effectiveness of learning. One of the technologies that has been implemented is Augmented Reality. This technology is able to represent real objects into virtual objects in the form of images, video or audio. Learning Javanese script can use this technology to improve the effectiveness of learning. This Augmented Reality was created using Vuforia who later designed the application using Unity.

With the creation of Javanese script learning media applications that implement Augmented Reality technology, it is easier to understand Javanese script. Especially understanding the form and pronunciation. So that the knowledge and use of Javanese script will continue to be preserved.
PERANCANGAN DAN IMPLEMENTASI KONSEP E-MONEY UNTUK SISTEM PEMBAYARAN RETRIBUSI NON TUNAI PADA RUSUNAWA PEMDA D.I. YOGYAKARTA
Authors: Sanuri Rachmad
Published: November 2023

Rumah Susun Sederhana Sewa atau biasa disebut Rusunawa dibangun dengan menggunakan dana Anggaran Pendapatan dan Belanja Pemerintah Daerah. Dengan fungsi utamanya sebagai hunian dalam membantu masyarakat berpenghasilan rendah untuk mendapatkan hunian layak yang terjangkau. Penghasilan dari pembayaran sewa tersebut adalah sebagai retribusi yang akan menjadi salah satu sumber pendapatan daerah.

Penggunaan e-money akan memberikan sejumlah manfaat dibandingkan dengan menggunakan uang tunai. Metode pembayaran dengan e-money dinilai lebih memberikan keuntungan kenyamanan, keamanan serta mengurangi kecurangan. Penerapan pembayaran non tunai dalam pengelolaan penerimaan retribusi Rusunawa akan memberi keuntungan bagi pengguna sistem, baik dari penghuni rusun dan pemiliknya dalam hal ini Pemda D.I Yogyakarta. Disisi pemilik akan mendapat tambahan manfaat untuk untuk peningkatan kualitas sistem dan tata kelola pendapatan daerah.

Penerapan sistem pembayaran non tunai dengan metode e-money meningkatkan transparasi dan akuntabilitas sebagai salah satu pilar pelaksanaan good governance terkait dengan pelayanan dan peningkatan tata kelola pemerintahan. Dimana akan memberi transparansi tentang aliran retribusi daerah yang akan meningkatkan kepercayaan masyarakat kepada pemerintah sehingga akan memotivasi mereka agar semakin taat dalam pembayaran retribusi.
PEMANFAATAN FIREBASE REALTIME DATABASE PADA APLIKASI PEMBELAJARAN AGAMA ISLAM MENGGUNAKAN FRAMEWORK FLUTTER
Authors: Astuti Femi Dwi , Hermawan Yogo
Published: November 2023

Smartphone is now a device that is in great demand by children. In addition to playing, smartphones can be used for learning for children. Making mobile applications is often considered difficult because it requires high laptop specifications, but with all the flutter resolved.

Firebase is able to connect mobile applications to cloud storage. One feature of firebase is the realtime database. This is very suitable to be applied for learning applications that require changing the theory periodically.

The results showed that the application of Islamic learning for children using flutter framework can help the process of learning Islam because it can be done anywhere. Theory and questions can change automatically without having to be refreshed by the user.
IMPLEMENTASI POIN MAHASISWA
Authors: Yatini Indra , Iskandar Edi , Yohantoro Yoseph
Published: November 2023

Todays the needs of graduates who have hard skills or soft skills are increasing, Hardskill is obtained from academic processes such as learning during college, while soft skills are obtained from extracurricular or non-curricular activities that can form distinct and clear student characters. To encourage STMIK AKAKOM students to have good soft skills, a Student Achievement Assessment Guideline was issued as a guideline for the student and student sections in calculating the number of extracurricular and non-curricular activities of each student called the Credit Performance Unit (SKP). Each S1 student must collect 110 SKP, D3 students only need 100 SKP during the lecture period that is evenly obtained in each semester so students must start to have activities from the first semester. Every semester the SKP value must be validated by the student affairs department. Ease of validation and time efficiency is absolutely necessary, therefore a computer-based SKP management system was developed. In the system there is a database for storing SKP data, facilities for students to report their SKP, and facilities for student affairs managers
APLIKASI MINIMUM SPANNING TREE ALGORITMA PRIM DAN KRUSKAL PENENTUAN LOKASI PEMBANGUNAN JALAN BARU
Authors: Minarwati
Published: November 2023

Network analysis can describe a network that must be run in a certain order and is limited by time, one of which is to complete a project. PERT / CPM is a method in network analysis that can be used to solve problems in a work project. Graph is a chapter / discussion in Discrete Mathematics. Graph is a collection of vertices and edges. In the discussion of graph, there is a discussion about trees, it is a graph that is undirected and does not contain circuits. In a tree, it can be determined that the minimum spanning tree / minimum spanning tree is a sub or part of the Graph in the form of a tree and has the same number of nodes as the initial Graph. The road construction project is one of the projects that is suitable for analysis using the spanning tree application in order to obtain the optimal road construction route with the shortest distance between locations. And using PERT / CPM network analysis to get the right order of work so that the work can be completed appropriately both the time used and the costs incurred
EFISIENSI SDM DENGAN CUSTOMER RELATIONSHIP MANAGEMENT BERBASIS WEB DAN SMS GATEWAY
Authors: Sudarmanto  , Wasiati Hera
Published: November 2023

This study aims to develop an application for improving HR efficiency by applying the concept of web-based and SMS Gateway Customer Relationship Management (CRM). The study is used as a tool to help in providing information to the general public and patients, especially those with Tuberculosis in the Community Centre for Lung Health (BKPM) of Klaten Regency.

The CRM system in BKPM Klaten is used to efficiently manage patients and all health information. This application will provide information including medical check-up timing and manage appointments with patients more effectively to improve medical staffs’ schedule efficiency. The patients’ notification method is using SMS Gateway (Short Message Service).

This research implemented a survey and an interview to the agency and analyze the system that was running in BKPM Klaten as its research method. The development of this system uses both Data Flow Diagrams (DAD) and Relationship Between Tables methods.

The application is expected to improve the efficiency of human resources management in BKPM Klaten in doing its job of providing information to the public, arranging required reports, and specifically for the patients, impacting on increasing the customers’ satisfaction and loyalty. This system can also make it easier for BKPM to interact directly with patients using an SMS gateway.
SISTEM PENDUKUKUNG KEPUTUSAN EVALUASI KINERJA KARYAWAN PADA HOTEL JOGJA INN MENGGUNAKAN METODE SIMPLE ADDITIVE WEIGHTHING (SAW)
Authors: Shofuro Navida , Winantu Asih
Published: November 2023

The process of evaluating employee performance at Hotel Jogja until now has been carried out subjectively without variables and standard assessment methods and has not used a computerized system resulting in non-objective assessments and the results of the assessment do not reflect the routine performance of employees because the assessment has been affected by bias from the supervisor as the appraiser due to the absence fixed variable standard in performance evaluation.

The method that will be used to analyze and calculate in this system is the Simple Additive Weighting method with 6 criteria for assessing attendance, time discipline, work quality, cooperation, attitude or ethics, and attention to guests. This system will be web-based using the PHP programming language and MySQL database as a means of data storage.

This system generates a list of performance appraisals from the specified alternatives. The final result of the Simple Additive Weighting method is the best alternative choice for the performance of Hotel Jogja Inn employees.
SISTEM MONITORING TEMPAT SAMPAH BERBASIS IOT MENGGUNAKAN ESP32
Authors: Minarwati
Published: November 2023

The development of technology in today's era is growing rapidly, allowing the use of computers in the future to dominate human work, one of which is handling waste. The problem that often occurs is the accumulation in the dump because it is full, causing environmental pollution.

               One of them is IoT (Internet of Things) which can control electronic equipment remotely via internet media. The use of this technology for example in regulating the opening and closing of the trash can, the introduction of objects that use sensors and are controlled via a microcontroller. Electronic components in which there is an interconnection system between the Microprocessor, RAM, ROM, I / O interface, as well as a number of peripheral instructions. If a microprocessor is combined with I/O and memory (RAM/ROM) it will produce a microcomputer, a single-chip microcomputer is usually called a microcontroller.

            From the above problems, a more effective trash can can be made using volume control to help people throw away in the trash by knowing in advance the condition of the trash bin is empty or full using ESP32, which can be monitored from an android smartphone using the blynk application
Sistem Keamanan Rumah Berbasis Iot Dengan Nodemcu Esp8266 Menggunakan Sensor Pir Sebagai Pendeteksi Gerakan
Authors: Putri Sintia Ogi Nindiya , Sari Dini Fakta , Iskandar Edi , Buryadi Indra Yatini
Published: November 2023

Pesatnya perkembangan teknologi seperti jaman sekarang menuntut manusia untuk selalu berinovasi dalam mengembangkan teknologi tepat guna yang dapat membantu memudahkan pekerjaan manusia dalam kehidupannya. Pemanfaatan teknologi internet untuk keamanan lingkungan atau kontrol. Penggunaan internet untuk berbagai keperluan sekarang yang disebut dengan IoT. Salah satu manfaat sistem IoT salah satunya dapat mengontrol dan memantau dari jarak jauh. Rumah adalah kebutuhan pokok bagi manusia untuk berlindung. Maraknya kasus pencurian yang terjadi ketika ditinggal berpergian maka sebuah rumah harus menyediakan rasa aman bagi pemiliknya.

Berdasarkan hal tersebut diatas, akan dibuat sistem keamanan rumah yang dapat di monitoring dari manapun melalui smartphone yang dapat mendeteksi penyusup di dalam rumah. Cara kerjanya yaitu saat sistem keamanan dihidupkan, Nodemcu terhubung ke Blynk melalui internet. Kemudian dapat mengaktifkan dan menonaktifkan sistem ini menggunakan tombol pada antarmuka yang diatur di aplikasi Blynk. Setelah itu, saat gerakan ditangkap oleh sensor PIR, bel dan LED hijau diaktifkan. Kemudian, smartphone juga menerima notifikasi push melalui aplikasi Blynk. Kemudian, sistem ini akan kembali normal setelah beberapa saat. Selain itu, waktu dapat diubah dengan preset di sensor PIR. Lampu LED merah menyala saat sistem beroperasi secara normal.

Kesimpulan dari penelitian ini adalah terciptanya prototype Sistem Keamanan Rumah Berbasis IoT Dengan Nodemcu ESP8266 menggunakan Sensor Pir sebagai Pendeteksi Gerakan dan berdasarkan hasil pengujian, sensor PIR dapat mendeteksi gerakan pada jangkauan jarak 1 sampai 5 meter
Analisis Keterlambatan Pelayanan Komplain Nasabah Bank Menggunakan Metode Critical Path Method
Authors: Widodo Wahyu , Hermansyah Bagus
Published: November 2023

Adanya keluhan Nasabah atas keterlambatan Service Level Agrement ( SLA) apabila tidak dapat ditangani akan menimbulkan perselisihan   yang pada akhirnya merugikan nasabah maupun Bank. Salah satu usaha untuk mengantisipasi keterlambatan penyelesaian masalah adalah dengan melakukan percepatan SLA aktifitas user dengan Leveling  SLA.Tujuan penelitian dapat membantu Manajemen Bank dalam mengambil keputusan untuk menyelesaikan permasalahan dengan Analisa What If  menggunakan Metode Critical Path Method. Dalam penyelesaiannya dibuat  Kategori Leveling, Leveling dibagi menjadi HIGH Level, Medium Level dan Low Level, Manajemen dapat lebih tepat dan cepat didalam menyelesaikan permasalahan pada Leveling SLA tersebut  pada setiap kasus yang terjadi dimasing masing wilayah cabang
Digitalisasi Model Bisnis Sebagai Upaya Perusahaan Menghadapi Dunia Digital
Authors: Ardiansyah Dedy
Published: November 2023

Dunia digital ditandai dengan perubahan ekonomi, perusahaan dan masyarakat menjadi serba digital. Aktivitas ekonomi yang didukung internet, produk menjadi digital serta aktivitas masyarakat yang senantiasa menggunaan internet, menjadikan perusahaan harus menyiapkan diri menghadapi perubahan tersebut.

Digitalisasi bisnis dilakukan dengan tahap: Tampilan organisasi, Komunikasional interaksi, Transaksi komersial, Nilai dan mitra terintegrai. Sedangkan model binis terdiri dari 4 komponen yaitu : Strategi perusahaan, Permintaan pelanggan, Penciptaan nilai.

Digitalisasi model bisnis dilakukan agar perusahaan dapat menghadapi dunia digital yaitu dengan mengelola cara berinteraksi dengan pelanggan (Business to Consumer/B2C). Wirtz mengusulkan model 4C, meliputi: content, commerce, contex dan connection.
Klasifikasi Kepuasan Layanan Akademik Di STMIK El Rahma Menggunakan Metode Algoritma Naive Bayes
Authors: Suparyanto
Published: November 2023

Kepuasan layanan terhadap mahasiswa adalah suatu kondisi dimana harapan, permintaan, dan keperluan mahasiswa terpenuhi. Hal ini dapat meningkatkan kepercayaan mahasiswa, karena dapat memberi dampak positif berupa meningkatkan pujian positif untuk layanan yang diberikan. Pada saat ini makin meningkat kesadaran mahasiswa  akan perlunya kualitas pelayanan yang diberikan oleh pihak kampus. Mahasiswa akan membandingkan pelayanan yang diharapkan dengan pelayanan yang diterima, tujuan penelitian ini untuk mengklasifikasi kepuasan mahasiswa dengan menerapkan teknik data mining bermetode algoritma naïve bayes. Metode naïve bayes yang diterapkan dalam penelitian ini untuk menghitung probabilitas terbesar pada variable independent yang telah ditentukan. Seperti aplikasi, ketepatan waktu, kenyamanan dalam kuliah, dan keramahan layanan. Klasifikasi ini adalah puas dan tidaknya mahasiswa, hasil penelitian ini adalah sebuah sistem yang dapat membantu mahasiswa untuk mengevaluasi terhadap pelayanan tenaga kependidikan, sehingga dapat menjadi pertimbangan bagi pihak kampus untuk meningkatkan pelayanan pada paramahasiswa
Klastering Spesifikasi Smartphone Menggunakan Algoritma Self Organizing Map
Authors: Nabawi Isnan , Kusrini  , Sudarmawan
Published: November 2023

Smartphone merupakan alat komunikasi modern yang saat ini sudah banyak dimiliki oleh masyarakat Indonesia. Tidak ada pengelompokan yang pasti dari banyaknya smartphone yang tersebar saat ini sehingga konsumen cukup kesulitan memilih smartphone dan produsen pun perlu mengelompokkan sendiri pasarnya. Pengelompokan smartphone dirasa perlu untuk membantu konsumen untuk mengetahui kelas smartphone yang akan dibelinya berdasarkan spesifikasi yang diinginkan. Pengelompokan pada penelitian ini menggunakan metode Self-Organizing Maps yang dieksekusi menggunakan Bahasa pemrograman Python. Hasil pengelompokan dievaluasi menggunakan 3 metode evaluasi yaitu Silhouette Score, Davies Bouldin Index dan Calinski-Harabasz Index. Hasil menunjukkan bahwa hasil pengelompokan terbaik yaitu pengelompokan yang menghasilkan 2 kelas dengan perolehan Silhouette Score sebesar 0.408, DBI sebesar 1.045, dan CHI sebesar 449.826.
Aplikasi Perhitungan Jumlah Kendaraan Dengan Menggunakan Google Maps API
Authors: Sudarsono Dibyo , Kusrini  , Arief Muhammad Rudyanto
Published: November 2023

Proses penghitungan kendaraan memberikan informasi yang tepat tentang arus lalu lintas, dan waktu puncak lalu lintas di jalan raya. Makalah ini menyajikan penghitung kendaraan dengan menggunakan data dari Google Maps API. Penghitungan kendaraan akan menggunakan rumus rasio densitas dari metode Greenshield, Greenberg dan Underwood. Implementasi dari teknik yang diusulkan telah dilakukan dengan menggunakan bahasa pemrograman PHP dan framework codeigniter. Hasil dari penelitian ini adalah sebuah aplikasi penghitung kendaraan berbasis web yang diharapkan dapat membantu dinas terkait dalam meningkatkan pelayanan kepada masyarakat sebagai pengguna jalan
AI USEFULNESS IN SYSTEMS MODELLING AND SIMULATION: GPT-4 APPLICATION
Authors: du Plooy Corne , Oosthuizen Rudolph
Published: November 2023

In this study, we investigate the potential of artificial intelligence (AI), specifically Generative Pre-trained Transformer 4 (GPT-4), to accelerate the development of system dynamics simulations within the broader context of systems engineering. The research aims to uncover the opportunities and limitations of leveraging AI to assist humans in constructing and refining system dynamics models. Through a systematic iterative process, GPT-4 was engaged in tasks such as creating, expanding, and stabilising simulations, identifying errors, generating expansion ideas, and converting models to Python code. Our findings reveal that GPT-4, while not flawless, can significantly enhance the modelling process, reduce human error, and expedite learning. This paper critically examines the role of AI in model development, emphasising the continued importance of human expertise in the evaluation and testing of simulations. Ultimately, we argue for a symbiotic relationship between AI and human modellers, harnessing the power of GPT-4 to augment human capabilities and advance the fields of system dynamics and systems engineering.
FITNESS LANDSCAPE MEASURES FOR ANALYSING THE TOPOLOGY OF THE FEASIBLE REGION OF AN OPTIMISATION PROBLEM
Authors: van der Westhuyze Nathan , van Vuuren Jan
Published: November 2023

Fitness landscape analysis has found numerous applications in industrial engineering, such as estimating optimisation problem complexity, predicting metaheuristic performance, and automating algorithm selection. In these applications, relationships between properties of the fitness landscape and metaheuristic algorithmic appropriateness are often analysed. The ability of a metaheuristic to traverse diverse areas of the feasible region is, however, typically overlooked when analysing algorithmic performance by invoking traditional measures of fitness landscape characteristics. In this paper, we propose three novel fitness landscape measures that are tailored to analyse the structure and degree of connectedness of the feasible region. These measures are related to the degree of neighbourhood feasibility, the size of the feasible region relative to that of the entire search space, and the tightness of the constraints. The significance of these measures is demonstrated in a suite of fitness-landscape analyses. When incorporated into a metaheuristic configuration machine-learning model, the measures yield accuracy improvements up to 6.4%.
INSIGHTS INTO ELECTRIC VEHICLE MARKET GROWTH IN SOUTH AFRICA: A SYSTEM DYNAMICS APPROACH
Authors: Scholtz Albertus , Hattingh Teresa , Roopa Meelan , Davies Edward
Published: November 2023

The international share of plug-in electric vehicle sales was 8.6% in 2021, compared with South Africa’s 0.1%. Increasing the sale of these vehicles in South Africa is directly tied to the continued existence of South Africa’s vehicle manufacturing industry. To address this challenge, businesses and governments need to understand better the factors influencing electric vehicle adoption. This study identified significant factors that influence and are influenced by electric vehicle adoption. By reviewing the current literature, numerous factors were identified and mapped in a causal loop diagram with an adapted system dynamics approach. The impact of taxation on the cost of electric vehicles and the low availability of electricity negatively affects both consumer confidence in owning an electric vehicle and local manufacturing capacity. This model serves as a useful tool to piece together how various factors in South Africa affect and are affected by electric vehicle adoption.
Optimization of a recurrent neural network using automata with a variable structure
Authors: Dimitrichenko Dmitriy Petrovich
Published: November 2023

The subject of this study is to identify a set of common structural properties inherent in recurrent neural networks and stochastic automata, the feature of which is purposeful behavior in dynamic environments. At the same time, the necessary commonality of properties is revealed both in the process of their functioning and in the process of their training (tuning). The author considers in detail such topics as: formalization of purposeful behavior, consideration of the design of automata, as well as a comparative analysis of the considered designs of automata. From the revealed commonality of functioning and the established one-to-one correspondence of neurons of a fully connected recurrent neural network and states of a probabilistic automaton with a variable structure, it follows that the structure of a tuned stochastic automaton can be considered as a reference for a set of connections of a recurrent neural network. This leads, even at the setup stage, to the removal of redundant states (neurons) and connections between them, based on the parameters of the corresponding automaton. The methodology of the conducted research is the construction of a one-to-one correspondence between the neurons of a fully connected recurrent neural network and the internal states of an automaton with a variable structure and the probabilities of transitions between them that are relevant after the tuning process. With a one-to-one correspondence, the probabilities of transitions of the automaton correspond to the weights of connections between neurons of the optimal configuration. The main conclusions of the study: 1.Comparing the structures of recurrent neural networks and automata with a variable structure allows one to take advantage of an automaton with a variable structure to solve the problem of appropriate behavior in dynamic environments and build a recurrent neural network based on it; 2.The correspondence of the internal structure of a recurrent neural network and an automaton with a variable structure allows already at the training stage to release the trained recurrent neural network from redundant neurons and redundant connections in its structure; 3.Due to the fact that an automaton with a variable structure approaches the optimal automaton with linear tactics for these conditions with nonlinear values of the learning rate, this allows a logical analysis of the structure of the final recurrent neural network.
Images of trust and distrust in financial institutions in the language and speech culture of the population of the Russian province (case study of Lipetsk region)
Authors: Linchenko Andrei Aleksandrovich , Vishnyakova Anastasiya Igorevna , Tabolina Valeriya Andreevna
Published: November 2023

This paper is focused on the ways of expressing trust and distrust in financial institutions represented in the language and speech culture of the population of the Lipetsk region. Based on 55 semi-structured interviews of three generations (centennials, millennials, elder generations) living in rural and urban settlements, issues of understanding and interpretation of financial institutions, features of trust, positive and negative experiences of interaction with various financial institutions were analyzed. The use of the constructivism made it possible to interpret trust as an internal component of the practices of an agent involved in the current financial situation. The study showed that in regions with an average standard of living, an average level of financial culture and the dominance of a conservative model of financial behaviour, the difference between generations is less noticeable against the backdrop of a significant difference between residents of rural and urban settlements. The analysis of interviews with three generations of residents of the region showed that the conservative model of financial behaviour continues to be reproduced in the speech culture of the informants, where banks and insurance organizations remain the most trustworthy. The images of financial institutions, represented in the language of the interviews, revealed a high level of resentment associated with the experience of past events (the collapse of the USSR, privatization). The content analysis revealed the image of the state as a “collector of payments”, and to a lesser extent, a “helper” supporting a person in his relationship with financial institutions.
Design of innovation ability evaluation model based on IPSO-LSTM in intelligent teaching
Authors: Wan Fei
Published: November 2023

Guided by the development of an innovative economy, students’ innovative education has also become the focus of talent training. This research aims to realize the intelligent evaluation of students’ innovation ability. In this article, we proposed an innovation ability framework that integrates students’ psychological state and innovation evaluation indicators. Firstly, the qualitative description of psychological data is quantified using the Delphi method. Secondly, this article proposes an improved particle swarm optimization-long short-term memory (IPSO-LSTM) model to achieve high-precision evaluation and classification of innovation capabilities. The classification accuracy of this model for excellent, general and failed innovation capabilities is up to 95.3%. Finally, the characteristic contribution analysis of psychological and innovative ability characteristics is carried out. The results show that the evaluation of creative ability contributes more than 50% to the psychological aspects of excellent students. This shows the importance of psychological status on creative ability and provides a theoretical basis for integrating innovative education and psychological education in the future.
Pick-up point recommendation strategy based on user incentive mechanism
Authors: Zhang Jing , Li Biao , Ye Xiucai , Chen Yi
Published: November 2023

In recent years, with the development of spatial crowdsourcing technology, online car-hailing, as a typical spatiotemporal crowdsourcing task application scenario, has attracted widespread attention. Existing researches on spatial crowdsourcing are mainly based on the coordinate positions of user and worker roles to achieve task allocation with the goal of maximum matching number or lowest cost. However, they ignores the problem of the selection of the pick-up point which needs to be solved in the actual scene of online car booking. This problem needs to take into account the four-dimensional coordinate positions of users, workers, pick-up point and destination. Based on this, this study designs a pick-up point recommendation strategy based on user incentive mechanism. Firstly, a new four-dimensional crowdsourcing model is established, which is closer to the practical application of crowdsourcing problem. Secondly, taking cost optimization as the index, a user incentive mechanism is designed to encourage users to walk to the appropriate pick-up point within a certain distance. Thirdly, a concept of forward rate is proposed to reduce the computation time. Some key factors, such as the maximum walking distance limit of users and task cost, are considered as the recommendation index for measuring the pick-up point. Then, an effective pick-up point recommendation strategy is designed based on this index. Experiments show that the strategy proposed in this article can achieve reasonable recommendation for pick-up points and improve the efficiency of drivers and reduce the total trip cost of orders to the greatest extent.
Modeling emotional contagion in the COVID-19 pandemic: a complex network approach
Authors: Zhu Yanchun , Zhang Wei , Li Chenguang
Published: November 2023

During public health crises, the investigation into the modes of public emotional contagion assumes paramount theoretical importance and has significant implications for refining epidemic strategies. Prior research predominantly emphasized the antecedents and aftermath of emotions, especially those of a negative nature. The interplay between positive and negative emotions, as well as their role in the propagation of emotional contagion, remains largely unexplored. In response to this gap, an emotional contagion model was developed, built upon the foundational model and enriched from a complex network standpoint by integrating a degradation rate index. Stability analyses of this model were subsequently conducted. Drawing inspiration from topological structural features, an enhanced model was introduced, anchored in complex network principles. This enhanced model was then experimentally assessed using Watts-Strogatz’s small-world network, Barabási-Albert’s scale-free network, and Sina Weibo network frameworks. Results revealed that the rate of infection predominantly dictates the velocity of emotional contagion. The incitement rate and purification rate determine the overarching direction of emotional contagion, whereas the degradation rate modulates the waning pace of emotions during intermediate and later stages. Furthermore, the immunity rate was observed to influence the proportion of each state at equilibrium. It was discerned that a greater number of initial emotional disseminators, combined with a larger initial contagion node degree, can amplify the emotion contagion rate across the social network, thus augmenting both the peak and overall influence of the contagion.
Self-control mediates the relationship between time perspective and mobile phone addiction in Chinese college students
Authors: Pan Weigang , Ma Yingzhi , Long Yihong , Wang Ying , Zhao Yujie
Published: November 2023

Background

Mobile phone addiction (MPA) is a prevalent problem among college students, and Chinese college students are a high-risk group for smartphone addiction. MPA has a negative impact on the physical and mental health and academic performance of college students. Studies have explored the influence of many factors on MPA, such as the characteristics of the smartphone itself, the characteristics of the smartphone user, and the environment. However, to date, no studies have explored the protective and risk factors for MPA from the perspective of personality traits. From this perspective, this study explored the influence of time perspective and trait self-control on MPA to identify effective measures to prevent and intervene in MPA in college students.

Methods

The participants in this cross-sectional study were 526 Chinese college students. They completed the Zimbardo Time Perspective Inventory, the Self-Control Scale and the Mobile Phone Addiction Tendency Scale using an online questionnaire tool. Pearson correlation analysis was used to explore the relationships among time perspective, self-control and MPA. A latent variable mediation analysis of the structural equation model was used to examine the mediating role of self-control in the relationship between time perspective and MPA.

Results

Various dimensions of time perspective were strongly associated with MPA. Among these dimensions, past negative (r = 0.397, p < 0.001), present hedonistic (r = 0.207, p < 0.001), and present fatalistic perspectives (r = 0.444, p < 0.001) were positively associated with MPA, while a future time perspective (r = −0.200, p < 0.001) was negatively associated with MPA. Mediation effects analysis showed that past negative (β = 0.034, p < 0.001, 95% CI [0.020–0.051]), present hedonistic (β = 0.038, p < 0.001, 95% CI [0.02–0.06]), present fatalistic (β = 0.047, p < 0.001, 95% CI [0.031–0.065]) and future orientation perspectives (β = −0.093, p < 0.001, 95% CI [−0.123–0.069]) indirectly influenced MPA through the mediating effect of self-control.

Conclusion

This study confirmed that a future time perspective and self-control are protective factors for MPA and that past negative, present hedonistic and present fatalistic perspectives are risk factors for MPA. College educators can prevent MPA in college students directly by cultivating their self-control ability, as well as indirectly by increasing their use of future time perspective and reducing past negative, present fatalistic and present hedonistic perspectives.
Experiencias Adversas en la Niñez y Cognición Social en Adolescentes de una Escuela de Bogotá, Colombia
Authors: Moncaleano Catalina , León-Rodríguez Diego A.
Published: November 2023

La adolescencia es un periodo sensible para el neurodesarrollo de la cognición social (CS) y experiencias adversas en la niñez (EAN) pueden alterarlo. Este estudio indagó sobre la relación entre EAN y la CS en 157 adolescentes (66 mujeres, 54 hombres) de una escuela de Bogotá. El nivel de EAN fue valorado a través de la Escala de experiencias adversas durante la niñez. La CS se evaluó con tareas de mentalización, moralidad y autocontrol. Además, se indagaron problemas de conducta con una escala basada en criterios DSM IV-R. La acumulación de EAN se relacionó con alteraciones en la CS de una forma dependiente del sexo. Puntualmente: (a) mujeres con altos EAN presentan menor precisión en inferencias mentales y decisiones morales instrumentales; (b) hombres bajo condiciones similares presentan problemas de autocontrol; (c) la exposición al conflicto armado correlacionó con mayor latencia en las decisiones morales; y (d) hombres con acumulación de EAN, decisiones morales basadas en recompensas inmediatas y bajo autocontrol muestran más conductas externalizantes. Se discuten las implicancias sociales de estos resultados en el diseño de intervenciones psicosociales sectorizadas y basadas en evidencias.
Entrevistas Cognitivas como Técnica para la Adaptación de Instrumentos en Contextos Educativos
Authors: Sánchez Magdalena , Veloso Begoña , Subercaseaux Joaquín
Published: November 2023

El objetivo del estudio presentado en este artículo fue evaluar cualitativamente la receptividad cognitiva y entendimiento general de preguntas nuevas para los Cuestionarios de Calidad y Contexto de la Educación, mediante la técnica entrevistas cognitivas. Se describe el uso de esta técnica para evaluar la receptividad y entendimiento a preguntas sobre aspectos no académicos (clima escolar, autoestima y motivación, entre otros) por parte de distintos actores. Se trabajó con una muestra no probabilística, según cuotas predefinidas, de acuerdo con variables de heterogeneidad, lo cual permitió seleccionar 20 establecimientos en las regiones Metropolitana, de Antofagasta y del Biobío. Los participantes fueron estudiantes de estos establecimientos de 4° y 8° básico (78 y 48, respectivamente), docentes (19) y apoderados (28) de los mismos niveles, seleccionados por conveniencia. Las 1.059 unidades de análisis fueron distribuidas en 20 pautas de entrevistas cognitivas, permitiendo un número acotado de ítems por aplicación, resguardando la calidad de la pauta y evitando la sobre exigencia de los entrevistados. El análisis de información se organizó en tres etapas: (a) definición de datos, (b) procesamiento de datos y (c) identificación de hallazgos. La aplicación de entrevistas cognitivas permitió identificar dificultades de comprensión por pregunta y sus componentes (ítems y enunciados) en los diversos actores, y problemas de pertinencia derivados de los supuestos que varios ítems o enunciados contenían, entregándose sugerencias para adaptar dichas preguntas. El proceso confirma la atingencia de la técnica para el pilotaje y adaptación de preguntas de un cuestionario en el contexto educativo.
Sensibilidad Materna y los Aspectos Comportamentales y Representacionales del Apego en Preescolares: Un Estudio Longitudinal
Authors: Nóblega Magaly , Conde Gabriela , Núñez del Prado Juan , Bartra Ramón
Published: November 2023

El estudio exploró las relaciones entre la sensibilidad materna, la conducta de base segura (CBS) y las representaciones del guión de base segura (RGBS) en 34 díadas madre-hijo o hija de Lima-Perú evaluadas en dos momentos durante la etapa preescolar. La hipótesis del estudio fue que la sensibilidad materna tendría una relación directa con las RGBS (aspecto representacional del apego), así como una relación indirecta, a través de las CBS (aspecto comportamental del apego). La selección de la muestra fue intencional. En el primer momento de estudio, los niños y niñas tenían en promedio 45,26 meses de edad (DE = 7,132) y en el segundo momento tenían 58,09 (DE = 7,025). Para medir la sensibilidad materna se utilizó el Behavior for Preschoolers Q-Set (MBPQS), el Attachment Q-Set (AQS) para evaluar la CBS y el Attachment Story Completion Task (ASCT) para evaluar las RGBS. Se realizó un análisis de senderos. Los resultados indican que la sensibilidad materna, medida en el primer momento, tiene una relación directa con las RGBS de los niños y niñas en el segundo momento. Además, la sensibilidad materna tiene un efecto indirecto sobre las RGBS a través de la CBS medida en el primer momento. Este estudio es pionero en el contexto peruano y latinoamericano y abre una línea de investigación que profundiza en la relación longitudinal de estos constructos de la teoría del apego. Sin embargo, los resultados son preliminares dado el tamaño pequeño de la muestra participante.